From 59a38e547a9f80f7b98c82fc17909a4148eefce3 Mon Sep 17 00:00:00 2001 From: BFuks Date: Wed, 1 Apr 2026 23:56:40 +0200 Subject: [PATCH 1/7] Bug in HistFrequency + update of the validation package --- .../Process/Plot/HistoFrequency.h | 35 +- validation/Makefile | 19 - validation/README.md | 79 - .../lhe_histos_0/Build/Log/compilation.log | 64 + .../lhe_histos_0/Build/Log/linking.log | 1 + .../lhe_histos_0/Build/MadAnalysis5job | Bin 0 -> 232396 bytes .../lhe_histos_0/Build/MadAnalysis5job.saf | 0 .../outputs/lhe_histos_0/Build/Main/main.cpp | 101 + .../outputs/lhe_histos_0/Build/Main/main.o | Bin 0 -> 31720 bytes .../outputs/lhe_histos_0/Build/Makefile | 125 + .../User/Analyzer/analysisList.h | 12 + .../SampleAnalyzer/User/Analyzer/user.cpp | 2961 ++++ .../Build/SampleAnalyzer/User/Analyzer/user.h | 56 + .../Build/SampleAnalyzer/User/Analyzer/user.o | Bin 0 -> 230944 bytes .../Build/SampleAnalyzer/newAnalyzer.py | 439 + .../outputs/lhe_histos_0/Build/setup.csh | 41 + 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validation/src/ma5_validation/ma5_scripts/reco_level/plot_observables.ma5 delete mode 100644 validation/src/ma5_validation/system/__init__.py delete mode 100644 validation/src/ma5_validation/system/exceptions.py delete mode 100644 validation/src/ma5_validation/utils/__init__.py delete mode 100644 validation/src/ma5_validation/utils/installation_handler.py delete mode 100644 validation/src/ma5_validation/utils/job_handler.py delete mode 100644 validation/src/ma5_validation/utils/mode_handler.py delete mode 100644 validation/src/ma5_validation/utils/path_handler.py delete mode 100644 validation/src/ma5_validation/utils/script_handler.py diff --git a/tools/SampleAnalyzer/Process/Plot/HistoFrequency.h b/tools/SampleAnalyzer/Process/Plot/HistoFrequency.h index 0621881a..e654154f 100644 --- a/tools/SampleAnalyzer/Process/Plot/HistoFrequency.h +++ b/tools/SampleAnalyzer/Process/Plot/HistoFrequency.h @@ -97,34 +97,27 @@ class HistoFrequency : public PlotBase /// Adding an entry for a given observable void Fill(const MAint32& obs, MAfloat64 weight=1.0) { - // Looking for the value - iterator it = stack_.find(obs); + // Looking for the value and creating it if not existing + if (stack_.find(obs) == stack_.end()) + stack_[obs] = std::make_pair(0.,0.); - // Value not found - if (it==stack_.end()) + // Noe filling the histogram + if (weight>=0) { - stack_[obs]=std::make_pair(0.,0.); + nentries_.first++; + sum_w_.first+=weight; + stack_[obs].first+=weight; } - - // Value found - else + else { - if (weight>=0) - { - nentries_.first++; - sum_w_.first+=weight; - stack_[obs].first+=weight; - } - else - { - nentries_.second++; - weight=std::abs(weight); - sum_w_.second+=weight; - stack_[obs].second+=weight; - } + nentries_.second++; + weight=std::abs(weight); + sum_w_.second+=weight; + stack_[obs].second+=weight; } } + /// Write the plot in a ROOT file virtual void Write_TextFormat(std::ostream* output) { diff --git a/validation/Makefile b/validation/Makefile deleted file mode 100755 index 20bdda4f..00000000 --- a/validation/Makefile +++ /dev/null @@ -1,19 +0,0 @@ -.PHONY: all -all: - make requirements - make install - - -.PHONY: install -install: - pip install -e . - - -.PHONY: uninstall -uninstall: - pip uninstall ma5_validation - - -.PHONY: requirements -requirements: - pip install -r requirements.txt diff --git a/validation/README.md b/validation/README.md deleted file mode 100644 index 4c8f631d..00000000 --- a/validation/README.md +++ /dev/null @@ -1,79 +0,0 @@ -# MadAnalysis 5 Validation Interface - -## Installation -`$ pip install -e .` or `$ make install` - -## Quick Validation - -The validation script is located in `scripts/validation_bootstrap`. To see available options simply type -```bash -$ ./validation_bootstrap -h -``` -This will show command line arguments available to validate your MadAnalysis 5 -session. For instance, to validate your version of MadAnalysis 5 in the parton -level mode, it is sufficient to type -```bash -$ ./validation_bootstrap -P -``` - -## Extended validation -`validation_bootstrap` uses test Monte Carlo samples located in -`madanalysis5/samples`. These are small-size event samples allowing us to ensure -that MadAnalysis 5 executes an analysis successfuly. By manally adding larger MC -samples to this folder we can enable a more extensive validathe software. - -# Usage - -### Format of the MadAnalysis 5 Scripts -MadAnalysis 5 scripts which are going to be used for the validation process can -be found in `src/ma5_validation/ma5_scripts`. Each has to follow a certain -structure so that we could find errors quickly. -``` -#TITLE -#MODE <MA5 MODE PARTON HADRON RECO RECOFRAC> - -#################################### -# Usual MadAnalysis commands # -#################################### -... -import $MA5PATH/samples/... -submit -``` -Usual MadAnalysis 5 commands needs to follow the standard syntax. `$MA5PATH` -is an anchor to the current MadAnalysis 5 location. If not indicated, the code -assumes that a full path to the sample is given. `submit` does not require any -name, the folder name being choosen according to the script name and the path to -the log. The default log path is `./scripts/log`. All files and analysis folders -are thus generated at that location. - -#### Script keywords -``` -#TITLE: Title of the script -#MODE : MadAnalysis 5 execution mode -#CPP : expert mode cpp file -#HEADER: expert mode header file -#COMMANDLINE: expert mode command line info - -$MA5PATH : Will be replaced with the path to MadAnalysis 5 -$SMP_PATH: will be replaced with the full path to `madanalysis5/path` -$EXPERT_LEVEL_PATH: will be replaced with the full path for the expert-level - script location -``` - -### Validating MadAnalysis 5 -Validation scripts are available under the `scripts` folder. -`validation_bootstrap` includes options to validate the various levels of -analyses available withing MadAnalysis 5. For more information about the inner -workings of the validation script, please type `$ ./validation_bootstrap -h`. - -## Adding validation scripts - -Each validation script needs to be written in the format [shown above](#format-of-the-madanalysis-5-scripts). -Depending on the mode and nature of the validation script, it can be added to the script collection stored in -`validation/src/ma5_validation/ma5_scripts`. This folder includes various levels of scripts that ensures backwards -compatibility of the MadAnalysis 5 software. Before adding a validation script there, please run it via `validation_bootstrap` -by using the following command; - -``` -$ ./validation_bootstrap --custom-script /PATH/TO/MY/SCRIPT/my_script.ma5 -``` diff --git a/validation/outputs/lhe_histos_0/Build/Log/compilation.log b/validation/outputs/lhe_histos_0/Build/Log/compilation.log new file mode 100644 index 00000000..106ed858 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Build/Log/compilation.log @@ -0,0 +1,64 @@ +c++ -Wall -std=c++11 -O3 -fPIC -I/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/ -I./ -stdlib=libc++ -pthread -std=c++14 -m64 -I/Applications/Root/include -o Main/main.o -c Main/main.cpp +In file included from Main/main.cpp:12: +In file included from ./SampleAnalyzer/User/Analyzer/analysisList.h:2: +In file included from ./SampleAnalyzer/User/Analyzer/user.h:5: +In file included from /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.h:32: +In file included from /Applications/Root/include/TTree.h:46: +In file included from /Applications/Root/include/TBranch.h:29: +In file included from /Applications/Root/include/TBranchCacheInfo.h:25: +/Applications/Root/include/TBits.h:150:11: warning: use of bitwise '&' with boolean operands [-Wbitwise-instead-of-logical] + return (Bool_t)lhs & rhs; + ^~~~~~~~~~~~~~~~~ + && +/Applications/Root/include/TBits.h:150:11: note: cast one or both operands to int to silence this warning +/Applications/Root/include/TBits.h:155:11: warning: use of bitwise '|' with boolean operands [-Wbitwise-instead-of-logical] + return (Bool_t)lhs | rhs; + ^~~~~~~~~~~~~~~~~ + || +/Applications/Root/include/TBits.h:155:11: note: cast one or both operands to int to silence this warning +In file included from Main/main.cpp:12: +In file included from ./SampleAnalyzer/User/Analyzer/analysisList.h:2: +In file included from ./SampleAnalyzer/User/Analyzer/user.h:5: +In file included from /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.h:39: +In file included from /Applications/Root/include/TCanvas.h:15: +In file included from /Applications/Root/include/TPad.h:15: +In file included from /Applications/Root/include/TVirtualPad.h:30: +In file included from /Applications/Root/include/TQObject.h:42: +/Applications/Root/include/TVirtualQConnection.h:53:42: warning: 'sizeof (val)' will return the size of the pointer, not the array itself [-Wsizeof-pointer-div] + constexpr size_t size = sizeof(val)/sizeof(val[0]); + ~~~~~~~~~~~^ +/Applications/Root/include/TVirtualQConnection.h:51:25: note: pointer 'val' declared here + void SetArg(const T* val) + ^ +3 warnings generated. +c++ -Wall -std=c++11 -O3 -fPIC -I/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/ -I./ -stdlib=libc++ -pthread -std=c++14 -m64 -I/Applications/Root/include -o SampleAnalyzer/User/Analyzer/user.o -c SampleAnalyzer/User/Analyzer/user.cpp +In file included from SampleAnalyzer/User/Analyzer/user.cpp:1: +In file included from ./SampleAnalyzer/User/Analyzer/user.h:5: +In file included from /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.h:32: +In file included from /Applications/Root/include/TTree.h:46: +In file included from /Applications/Root/include/TBranch.h:29: +In file included from /Applications/Root/include/TBranchCacheInfo.h:25: +/Applications/Root/include/TBits.h:150:11: warning: use of bitwise '&' with boolean operands [-Wbitwise-instead-of-logical] + return (Bool_t)lhs & rhs; + ^~~~~~~~~~~~~~~~~ + && +/Applications/Root/include/TBits.h:150:11: note: cast one or both operands to int to silence this warning +/Applications/Root/include/TBits.h:155:11: warning: use of bitwise '|' with boolean operands [-Wbitwise-instead-of-logical] + return (Bool_t)lhs | rhs; + ^~~~~~~~~~~~~~~~~ + || +/Applications/Root/include/TBits.h:155:11: note: cast one or both operands to int to silence this warning +In file included from SampleAnalyzer/User/Analyzer/user.cpp:1: +In file included from ./SampleAnalyzer/User/Analyzer/user.h:5: +In file included from /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.h:39: +In file included from /Applications/Root/include/TCanvas.h:15: +In file included from /Applications/Root/include/TPad.h:15: +In file included from /Applications/Root/include/TVirtualPad.h:30: +In file included from /Applications/Root/include/TQObject.h:42: +/Applications/Root/include/TVirtualQConnection.h:53:42: warning: 'sizeof (val)' will return the size of the pointer, not the array itself [-Wsizeof-pointer-div] + constexpr size_t size = sizeof(val)/sizeof(val[0]); + ~~~~~~~~~~~^ +/Applications/Root/include/TVirtualQConnection.h:51:25: note: pointer 'val' declared here + void SetArg(const T* val) + ^ +3 warnings generated. diff --git a/validation/outputs/lhe_histos_0/Build/Log/linking.log b/validation/outputs/lhe_histos_0/Build/Log/linking.log new file mode 100644 index 00000000..f236ac53 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Build/Log/linking.log @@ -0,0 +1 @@ +c++ Main/main.o SampleAnalyzer/User/Analyzer/user.o -L/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/Lib -L/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/ExternalSymLink/Lib -lprocess_for_ma5 -lprocess_for_ma5 -L/Applications/Root/lib -lCore -lImt -lRIO -lNet -lHist -lGraf -lGraf3d -lGpad -lROOTVecOps -lTree -lTreePlayer -lRint -lPostscript -lMatrix -lPhysics -lMathCore -lThread -lMultiProc -lROOTDataFrame 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<https://github.com/MadAnalysis/madanalysis5> +// +//////////////////////////////////////////////////////////////////////////////// + +// SampleHeader header +#include "SampleAnalyzer/Process/Core/SampleAnalyzer.h" +#include "SampleAnalyzer/User/Analyzer/analysisList.h" +using namespace MA5; + +// ----------------------------------------------------------------------- +// Info function +// ----------------------------------------------------------------------- +int Info(SampleAnalyzer& manager) +{ + INFO << "BEGIN " << __FILE__ << endmsg; + manager.AnalyzerList().Print(); + INFO << "END " << __FILE__ << endmsg; + return 0; +} +// ----------------------------------------------------------------------- +// main program +// ----------------------------------------------------------------------- +int main(int argc, char *argv[]) +{ + // Creating a manager + SampleAnalyzer manager; + BuildUserTable(manager.AnalyzerList()); + + // Identifying --info argument + if (argc==2) + { + std::string arg=argv[1]; + if (arg=="--info") return Info(manager); + } + + // --------------------------------------------------- + // INITIALIZATION + // --------------------------------------------------- + INFO << " * Initializing all components" << endmsg; + + // Initializing the manager + if (!manager.Initialize(argc,argv,"pdg.ma5")) return 1; + + // Creating data format for storing data + EventFormat myEvent; + std::vector<SampleFormat> mySamples; + + // Getting pointer to the analyzer + std::map<std::string, std::string> parametersA1; + AnalyzerBase* analyzer1 = + manager.InitializeAnalyzer("MadAnalysis5job","MadAnalysis5job.saf",parametersA1); + if (analyzer1==0) return 1; + + // Post initialization (creates the new output directory structure) + if(!manager.PostInitialize()) return 1; + // --------------------------------------------------- + // EXECUTION + // --------------------------------------------------- + INFO << " * Running over files ..." << endmsg; + + // Loop over files + while(1) + { + // Opening input file + mySamples.push_back(SampleFormat()); + SampleFormat& mySample=mySamples.back(); + StatusCode::Type result1 = manager.NextFile(mySample); + if (result1!=StatusCode::KEEP) + { + if (result1==StatusCode::SKIP) continue; + else if (result1==StatusCode::FAILURE) {mySamples.pop_back(); break;} + } + + // Loop over events + while(1) + { + StatusCode::Type result2 = manager.NextEvent(mySample,myEvent); + if (result2!=StatusCode::KEEP) + { + if (result2==StatusCode::SKIP) continue; + else if (result2==StatusCode::FAILURE) break; + } + manager.UpdateProgressBar(); + if (!analyzer1->Execute(mySample,myEvent)) continue; + } + } + + // --------------------------------------------------- + // FINALIZATION + // --------------------------------------------------- + INFO << " * Finalizing all components ..." << endmsg; + + // Finalizing all components + manager.Finalize(mySamples,myEvent); + return 0; +} diff --git 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c++ + +# C++ Compilation options +CXXFLAGS = -Wall -std=c++11 -O3 -fPIC -I$(MA5_BASE)/tools/ +CXXFLAGS += -I./ +CXXFLAGS += $(shell $(MA5_BASE)/tools/SampleAnalyzer/ExternalSymLink/Bin/root-config --cflags) + +# Linking options +LIBFLAGS = +LIBFLAGS += -L$(MA5_BASE)/tools/SampleAnalyzer/Lib -L$(MA5_BASE)/tools/SampleAnalyzer/ExternalSymLink/Lib +LIBFLAGS += -lprocess_for_ma5 +LIBFLAGS += -lprocess_for_ma5 $(shell $(MA5_BASE)/tools/SampleAnalyzer/ExternalSymLink/Bin/root-config --libs) -lEG +LIBFLAGS += -lcommons_for_ma5 + +# Requirements to check before building +REQUIRED1 = $(MA5_BASE)/tools/SampleAnalyzer/Lib/libcommons_for_ma5.so +REQUIRED2 = $(MA5_BASE)/tools/SampleAnalyzer/Lib/libprocess_for_ma5.so + +# Files +SRCS = $(wildcard Main/*.cpp) +SRCS += $(wildcard SampleAnalyzer/User/*/*.cpp) +HDRS = $(wildcard Main/*.h) +HDRS += $(wildcard SampleAnalyzer/User/*/*.h) +OBJS = $(SRCS:.cpp=.o) + +# Name of the executable +PROGRAM = MadAnalysis5job + +# Defining colours +GREEN = "\\033[1;32m" +RED = "\\033[1;31m" +PINK = "\\033[1;35m" +BLUE = "\\033[1;34m" +YELLOW = "\\033[1;33m" +CYAN = "\\033[1;36m" +NORMAL = "\\033[0;39m" + +# All target +all: header library_check compile_header compile link_header link + +# Check library +library_check: +ifeq ($(wildcard $(REQUIRED1)),) + @echo -e $(RED)"The shared library "$(REQUIRED1)" is not found" + @echo -e $(RED)" 1) Please check that MadAnalysis 5 is installed in the folder : "$(MA5_BASE) + @echo -e $(RED)" 2) Launch MadAnalysis 5 in normal mode in order to build this library." + @echo -e $(NORMAL) + @false +endif +ifeq ($(wildcard $(REQUIRED2)),) + @echo -e $(RED)"The shared library "$(REQUIRED2)" is not found" + @echo -e $(RED)" 1) Please check that MadAnalysis 5 is installed in the folder : "$(MA5_BASE) + @echo -e $(RED)" 2) Launch MadAnalysis 5 in normal mode in order to build this library." + @echo -e $(NORMAL) + @false +endif + +# Header target +header: + @echo -e $(YELLOW)"--------------------------------------------------------" + @echo -e " Building MadAnalysis Job " + @echo -e "--------------------------------------------------------"$(NORMAL) + +# Compile_header target +compile_header: + @echo -e $(YELLOW)"--------------------------------------------------------" + @echo -e " Compilation " + @echo -e "--------------------------------------------------------"$(NORMAL) + +# Link_header target +link_header: + @echo -e $(YELLOW)"--------------------------------------------------------" + @echo -e " Linking " + @echo -e "--------------------------------------------------------"$(NORMAL) + +# clean_header target +clean_header: + @echo -e $(YELLOW)"--------------------------------------------------------" + @echo -e " Removing intermediate files from building " + @echo -e "--------------------------------------------------------"$(NORMAL) + +# mrproper_header target +mrproper_header: + @echo -e $(YELLOW)"--------------------------------------------------------" + @echo -e " Cleaning all the project " + @echo -e "--------------------------------------------------------"$(NORMAL) + +# Precompile target +precompile: + +# Compile target +compile: precompile $(OBJS) + +# Compile each file +%.o: %.cpp $(HDRS) + $(CXX) $(CXXFLAGS) -o $@ -c $< + +# Link target +link: $(OBJS) + $(CXX) $(OBJS) $(LIBFLAGS) -o ./$(PROGRAM) + +# Phony target +.PHONY: do_clean header compile_header link_header + +# Clean target +clean: clean_header do_clean + +# Do clean target +do_clean: + @rm -f $(OBJS) + +# Mr Proper target +mrproper: mrproper_header do_mrproper + +# Do Mr Proper target +do_mrproper: do_clean + @rm -f ./$(PROGRAM) + @rm -f *~ */*~ + @rm -f Log/compilation.log Log/linking.log Log/cleanup.log Log/mrproper.log + diff --git a/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/analysisList.h b/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/analysisList.h new file mode 100644 index 00000000..0a27feea --- /dev/null +++ b/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/analysisList.h @@ -0,0 +1,12 @@ +#include "SampleAnalyzer/Process/Analyzer/AnalyzerManager.h" +#include "SampleAnalyzer/User/Analyzer/user.h" +#include "SampleAnalyzer/Commons/Service/LogStream.h" + +// ----------------------------------------------------------------------------- +// BuildUserTable +// ----------------------------------------------------------------------------- +void BuildUserTable(MA5::AnalyzerManager& manager) +{ + using namespace MA5; + manager.Add("MadAnalysis5job", new user); +} diff --git a/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/user.cpp b/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/user.cpp new file mode 100644 index 00000000..790770ce --- /dev/null +++ b/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/user.cpp @@ -0,0 +1,2961 @@ +#include "SampleAnalyzer/User/Analyzer/user.h" +using namespace MA5; + +MAbool user::Initialize(const MA5::Configuration& cfg, + const std::map<std::string,std::string>& parameters) +{ + // Initializing PhysicsService for MC + PHYSICS->mcConfig().Reset(); + + // definition of the multiparticle "hadronic" + PHYSICS->mcConfig().AddHadronicId(-5); + PHYSICS->mcConfig().AddHadronicId(-4); + PHYSICS->mcConfig().AddHadronicId(-3); + PHYSICS->mcConfig().AddHadronicId(-2); + PHYSICS->mcConfig().AddHadronicId(-1); + PHYSICS->mcConfig().AddHadronicId(1); + PHYSICS->mcConfig().AddHadronicId(2); + PHYSICS->mcConfig().AddHadronicId(3); + PHYSICS->mcConfig().AddHadronicId(4); + PHYSICS->mcConfig().AddHadronicId(5); + PHYSICS->mcConfig().AddHadronicId(21); + + // definition of the multiparticle "invisible" + PHYSICS->mcConfig().AddInvisibleId(-16); + PHYSICS->mcConfig().AddInvisibleId(-14); + PHYSICS->mcConfig().AddInvisibleId(-12); + PHYSICS->mcConfig().AddInvisibleId(12); + PHYSICS->mcConfig().AddInvisibleId(14); + PHYSICS->mcConfig().AddInvisibleId(16); + PHYSICS->mcConfig().AddInvisibleId(1000022); + + // ===== Signal region ===== // + Manager()->AddRegionSelection("myregion"); + + // ===== Selections ===== // + + // ===== Histograms ===== // + Manager()->AddHisto("1_SQRTS", 50,0.0,5000.0); + Manager()->AddHisto("2_SCALE", 50,0.0,2000.0); + Manager()->AddHisto("3_ALPHA_QCD", 50,0.0,0.3); + Manager()->AddHisto("4_ALPHA_QED", 50,0.0,0.02); + Manager()->AddHisto("5_TET", 50,0.0,5000.0); + Manager()->AddHisto("6_THT", 50,0.0,5000.0); + Manager()->AddHisto("7_MET", 50,0.0,1500.0); + Manager()->AddHisto("8_MHT", 50,0.0,1500.0); + Manager()->AddHistoFrequency("9_NPID"); + Manager()->AddHistoFrequency("10_NAPID"); + Manager()->AddHisto("11_WEIGHTS", 100,-1.0,1.0); + Manager()->AddHisto("12_PT", 50,0.0,1000.0); + Manager()->AddHisto("13_ETA", 50,-8.0,8.0); + Manager()->AddHisto("14_ABSETA", 50,0.0,8.0); + Manager()->AddHisto("15_PHI", 32,-3.2,3.2); + Manager()->AddHisto("16_E", 50,0.0,2000.0); + Manager()->AddHisto("17_ET", 50,0.0,2000.0); + Manager()->AddHisto("18_M", 50,0.0,20.0); + Manager()->AddHisto("19_MT", 50,0.0,1000.0); + Manager()->AddHisto("20_MT_MET", 50,0.0,1000.0); + Manager()->AddHisto("21_P", 50,0.0,2000.0); + Manager()->AddHisto("22_PX", 50,-1000.0,1000.0); + Manager()->AddHisto("23_PY", 50,-1000.0,1000.0); + Manager()->AddHisto("24_PZ", 50,-2000.0,2000.0); + Manager()->AddHisto("25_R", 50,0.0,10.0); + Manager()->AddHisto("26_Y", 50,-8.0,8.0); + Manager()->AddHisto("27_BETA", 50,0.0,1.2); + Manager()->AddHisto("28_GAMMA", 50,1.0,100.0); + Manager()->AddHisto("29_PT", 50,0.0,1000.0); + Manager()->AddHisto("30_ETA", 50,-8.0,8.0); + Manager()->AddHisto("31_PHI", 32,-3.2,3.2); + Manager()->AddHisto("32_E", 50,0.0,2000.0); + Manager()->AddHisto("33_MT_MET", 50,0.0,1000.0); + Manager()->AddHisto("34_PT", 50,0.0,1000.0); + Manager()->AddHisto("35_ETA", 50,-8.0,8.0); + Manager()->AddHisto("36_PHI", 32,-3.2,3.2); + Manager()->AddHisto("37_E", 50,0.0,2000.0); + Manager()->AddHisto("38_MT_MET", 50,0.0,1000.0); + Manager()->AddHisto("39_M", 50,0.0,1000.0); + Manager()->AddHisto("40_PT", 50,0.0,1500.0); + Manager()->AddHisto("41_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("42_DPHI_0_PI", 32,0.0,3.2); + Manager()->AddHisto("43_DPHI_0_2PI", 32,0.0,6.4); + Manager()->AddHisto("44_PT", 50,0.0,1000.0); + Manager()->AddHisto("45_ETA", 50,-8.0,8.0); + Manager()->AddHisto("46_ABSETA", 50,0.0,8.0); + Manager()->AddHisto("47_PHI", 32,-3.2,3.2); + Manager()->AddHisto("48_E", 50,0.0,2000.0); + Manager()->AddHisto("49_ET", 50,0.0,2000.0); + Manager()->AddHisto("50_M", 50,0.0,20.0); + Manager()->AddHisto("51_MT", 50,0.0,1000.0); + Manager()->AddHisto("52_MT_MET", 50,0.0,1000.0); + Manager()->AddHisto("53_P", 50,0.0,2000.0); + Manager()->AddHisto("54_PX", 50,-1000.0,1000.0); + Manager()->AddHisto("55_PY", 50,-1000.0,1000.0); + Manager()->AddHisto("56_PZ", 50,-2000.0,2000.0); + Manager()->AddHisto("57_R", 50,0.0,10.0); + Manager()->AddHisto("58_Y", 50,-8.0,8.0); + Manager()->AddHisto("59_BETA", 50,0.0,1.2); + Manager()->AddHisto("60_GAMMA", 50,1.0,100.0); + Manager()->AddHisto("61_PT", 50,0.0,1000.0); + Manager()->AddHisto("62_ETA", 50,-8.0,8.0); + Manager()->AddHisto("63_PHI", 32,-3.2,3.2); + Manager()->AddHisto("64_E", 50,0.0,2000.0); + Manager()->AddHisto("65_MT_MET", 50,0.0,1000.0); + Manager()->AddHisto("66_PT", 50,0.0,1000.0); + Manager()->AddHisto("67_ETA", 50,-8.0,8.0); + Manager()->AddHisto("68_PHI", 32,-3.2,3.2); + Manager()->AddHisto("69_E", 50,0.0,2000.0); + Manager()->AddHisto("70_MT_MET", 50,0.0,1000.0); + Manager()->AddHisto("71_M", 50,0.0,1000.0); + Manager()->AddHisto("72_PT", 50,0.0,1500.0); + Manager()->AddHisto("73_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("74_DPHI_0_PI", 32,0.0,3.2); + Manager()->AddHisto("75_DPHI_0_2PI", 32,0.0,6.4); + Manager()->AddHisto("76_PT", 50,0.0,1000.0); + Manager()->AddHisto("77_ETA", 50,-8.0,8.0); + Manager()->AddHisto("78_ABSETA", 50,0.0,8.0); + Manager()->AddHisto("79_PHI", 32,-3.2,3.2); + Manager()->AddHisto("80_E", 50,0.0,2000.0); + Manager()->AddHisto("81_ET", 50,0.0,2000.0); + Manager()->AddHisto("82_M", 50,0.0,50.0); + Manager()->AddHisto("83_MT", 50,0.0,1000.0); + Manager()->AddHisto("84_MT_MET", 50,0.0,1000.0); + Manager()->AddHisto("85_P", 50,0.0,2000.0); + Manager()->AddHisto("86_PX", 50,-1000.0,1000.0); + Manager()->AddHisto("87_PY", 50,-1000.0,1000.0); + Manager()->AddHisto("88_PZ", 50,-2000.0,2000.0); + Manager()->AddHisto("89_R", 50,0.0,10.0); + Manager()->AddHisto("90_Y", 50,-8.0,8.0); + Manager()->AddHisto("91_BETA", 50,0.0,1.2); + Manager()->AddHisto("92_GAMMA", 50,1.0,100.0); + Manager()->AddHisto("93_PT", 50,0.0,1000.0); + Manager()->AddHisto("94_ETA", 50,-8.0,8.0); + Manager()->AddHisto("95_PHI", 32,-3.2,3.2); + Manager()->AddHisto("96_E", 50,0.0,2000.0); + Manager()->AddHisto("97_MT_MET", 50,0.0,1000.0); + Manager()->AddHisto("98_PT", 50,0.0,1000.0); + Manager()->AddHisto("99_ETA", 50,-8.0,8.0); + Manager()->AddHisto("100_PHI", 32,-3.2,3.2); + Manager()->AddHisto("101_E", 50,0.0,2000.0); + Manager()->AddHisto("102_MT_MET", 50,0.0,1000.0); + Manager()->AddHisto("103_M", 50,0.0,2000.0); + Manager()->AddHisto("104_PT", 50,0.0,2000.0); + Manager()->AddHisto("105_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("106_DPHI_0_PI", 32,0.0,3.2); + Manager()->AddHisto("107_DPHI_0_2PI", 32,0.0,6.4); + Manager()->AddHisto("108_PT", 50,0.0,1000.0); + Manager()->AddHisto("109_ETA", 50,-8.0,8.0); + Manager()->AddHisto("110_ABSETA", 50,0.0,8.0); + Manager()->AddHisto("111_PHI", 32,-3.2,3.2); + Manager()->AddHisto("112_E", 50,0.0,2000.0); + Manager()->AddHisto("113_ET", 50,0.0,2000.0); + Manager()->AddHisto("114_M", 50,0.0,200.0); + Manager()->AddHisto("115_MT", 50,0.0,1000.0); + Manager()->AddHisto("116_MT_MET", 50,0.0,1000.0); + Manager()->AddHisto("117_P", 50,0.0,2000.0); + Manager()->AddHisto("118_PX", 50,-1000.0,1000.0); + Manager()->AddHisto("119_PY", 50,-1000.0,1000.0); + Manager()->AddHisto("120_PZ", 50,-2000.0,2000.0); + Manager()->AddHisto("121_R", 50,0.0,10.0); + Manager()->AddHisto("122_Y", 50,-8.0,8.0); + Manager()->AddHisto("123_BETA", 50,0.0,1.2); + Manager()->AddHisto("124_GAMMA", 50,1.0,100.0); + Manager()->AddHisto("125_PT", 50,0.0,1000.0); + Manager()->AddHisto("126_ETA", 50,-8.0,8.0); + Manager()->AddHisto("127_PHI", 32,-3.2,3.2); + Manager()->AddHisto("128_E", 50,0.0,2000.0); + Manager()->AddHisto("129_MT_MET", 50,0.0,1000.0); + Manager()->AddHisto("130_PT", 50,0.0,1000.0); + Manager()->AddHisto("131_ETA", 50,-8.0,8.0); + Manager()->AddHisto("132_PHI", 32,-3.2,3.2); + Manager()->AddHisto("133_E", 50,0.0,2000.0); + Manager()->AddHisto("134_MT_MET", 50,0.0,1000.0); + Manager()->AddHisto("135_M", 50,0.0,3000.0); + Manager()->AddHisto("136_PT", 50,0.0,3000.0); + Manager()->AddHisto("137_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("138_DPHI_0_PI", 32,0.0,3.2); + Manager()->AddHisto("139_DPHI_0_2PI", 32,0.0,6.4); + Manager()->AddHisto("140_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("141_DPHI_0_PI", 32,0.0,3.2); + Manager()->AddHisto("142_DPHI_0_2PI", 32,0.0,6.4); + Manager()->AddHisto("143_M", 50,0.0,1000.0); + Manager()->AddHisto("144_PT", 50,0.0,1500.0); + Manager()->AddHisto("145_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("146_DPHI_0_PI", 32,0.0,3.2); + Manager()->AddHisto("147_DPHI_0_2PI", 32,0.0,6.4); + Manager()->AddHisto("148_M", 50,0.0,1000.0); + Manager()->AddHisto("149_PT", 50,0.0,1500.0); + Manager()->AddHisto("150_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("151_DPHI_0_PI", 32,0.0,3.2); + Manager()->AddHisto("152_DPHI_0_2PI", 32,0.0,6.4); + Manager()->AddHisto("153_M", 50,0.0,2000.0); + Manager()->AddHisto("154_PT", 50,0.0,2000.0); + Manager()->AddHisto("155_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("156_DPHI_0_PI", 32,0.0,3.2); + Manager()->AddHisto("157_DPHI_0_2PI", 32,0.0,6.4); + Manager()->AddHisto("158_M", 50,0.0,3000.0); + Manager()->AddHisto("159_PT", 50,0.0,3000.0); + Manager()->AddHisto("160_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("161_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("162_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("163_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("164_M", 50,0.0,1000.0); + Manager()->AddHisto("165_M", 50,0.0,2000.0); + Manager()->AddHisto("166_M", 50,0.0,2000.0); + Manager()->AddHisto("167_M", 50,0.0,3000.0); + Manager()->AddHisto("168_PT", 50,0.0,1500.0); + Manager()->AddHisto("169_PT", 50,0.0,3000.0); + Manager()->AddHisto("170_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("171_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("172_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("173_DELTAR", 50,0.0,10.0); + Manager()->AddHisto("174_M", 50,0.0,1000.0); + Manager()->AddHisto("175_M", 50,0.0,2000.0); + Manager()->AddHisto("176_M", 50,0.0,2000.0); + Manager()->AddHisto("177_M", 50,0.0,3000.0); + Manager()->AddHisto("178_PT", 50,0.0,1500.0); + Manager()->AddHisto("179_PT", 50,0.0,3000.0); + + // No problem during initialization + return true; +} + +MAbool user::Execute(SampleFormat& sample, const EventFormat& event) +{ + MAfloat32 __event_weight__ = 1.0; + if (weighted_events_ && event.mc()!=0) __event_weight__ = event.mc()->weight(); + + if (sample.mc()!=0) sample.mc()->addWeightedEvents(__event_weight__); + Manager()->InitializeForNewEvent(__event_weight__); + + // Clearing particle containers + { + _P_e_I2I_PTorderingfinalstate_REG_.clear(); + _P_mu_I2I_PTorderingfinalstate_REG_.clear(); + _P_b_I2I_PTorderingfinalstate_REG_.clear(); + _P_j_I2I_PTorderingfinalstate_REG_.clear(); + _P_e_I1I_PTorderingfinalstate_REG_.clear(); + _P_mu_I1I_PTorderingfinalstate_REG_.clear(); + _P_b_I1I_PTorderingfinalstate_REG_.clear(); + _P_j_I1I_PTorderingfinalstate_REG_.clear(); + _P_ePTorderingfinalstate_REG_.clear(); + _P_muPTorderingfinalstate_REG_.clear(); + _P_bPTorderingfinalstate_REG_.clear(); + _P_jPTorderingfinalstate_REG_.clear(); + } + + // Filling particle containers + { + for (MAuint32 i=0;i<event.mc()->particles().size();i++) + { + if (isP__ePTorderingfinalstate((&(event.mc()->particles()[i])))) _P_ePTorderingfinalstate_REG_.push_back(&(event.mc()->particles()[i])); + if (isP__muPTorderingfinalstate((&(event.mc()->particles()[i])))) _P_muPTorderingfinalstate_REG_.push_back(&(event.mc()->particles()[i])); + if (isP__bPTorderingfinalstate((&(event.mc()->particles()[i])))) _P_bPTorderingfinalstate_REG_.push_back(&(event.mc()->particles()[i])); + if (isP__jPTorderingfinalstate((&(event.mc()->particles()[i])))) _P_jPTorderingfinalstate_REG_.push_back(&(event.mc()->particles()[i])); + } + } + + // Sorting particles + // Sorting particle collection according to PTordering + // for getting 2th particle + _P_e_I2I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_ePTorderingfinalstate_REG_,2,PTordering); + + // Sorting particle collection according to PTordering + // for getting 2th particle + _P_mu_I2I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_muPTorderingfinalstate_REG_,2,PTordering); + + // Sorting particle collection according to PTordering + // for getting 2th particle + _P_b_I2I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_bPTorderingfinalstate_REG_,2,PTordering); + + // Sorting particle collection according to PTordering + // for getting 2th particle + _P_j_I2I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_jPTorderingfinalstate_REG_,2,PTordering); + + // Sorting particle collection according to PTordering + // for getting 1th particle + _P_e_I1I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_ePTorderingfinalstate_REG_,1,PTordering); + + // Sorting particle collection according to PTordering + // for getting 1th particle + _P_mu_I1I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_muPTorderingfinalstate_REG_,1,PTordering); + + // Sorting particle collection according to PTordering + // for getting 1th particle + _P_b_I1I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_bPTorderingfinalstate_REG_,1,PTordering); + + // Sorting particle collection according to PTordering + // for getting 1th particle + _P_j_I1I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_jPTorderingfinalstate_REG_,1,PTordering); + + // Histogram number 1 + // * Plot: SQRTS + { + Manager()->FillHisto("1_SQRTS", PHYSICS->SqrtS(event.mc())); + } + + // Histogram number 2 + // * Plot: SCALE + { + Manager()->FillHisto("2_SCALE", event.mc()->scale()); + } + + // Histogram number 3 + // * Plot: ALPHA_QCD + { + Manager()->FillHisto("3_ALPHA_QCD", event.mc()->alphaQCD()); + } + + // Histogram number 4 + // * Plot: ALPHA_QED + { + Manager()->FillHisto("4_ALPHA_QED", event.mc()->alphaQED()); + } + + // Histogram number 5 + // * Plot: TET + { + Manager()->FillHisto("5_TET", PHYSICS->Transverse->EventTET(event.mc())); + } + + // Histogram number 6 + // * Plot: THT + { + Manager()->FillHisto("6_THT", PHYSICS->Transverse->EventTHT(event.mc())); + } + + // Histogram number 7 + // * Plot: MET + { + Manager()->FillHisto("7_MET", PHYSICS->Transverse->EventMET(event.mc())); + } + + // Histogram number 8 + // * Plot: MHT + { + Manager()->FillHisto("8_MHT", PHYSICS->Transverse->EventMHT(event.mc())); + } + + // Histogram number 9 + // * Plot: NPID + { + for (unsigned int i=0;i<event.mc()->particles().size();i++) + { + if (!PHYSICS->Id->IsFinalState(event.mc()->particles()[i])) continue; + Manager()->FillHisto("9_NPID", event.mc()->particles()[i].pdgid()); + } + } + + // Histogram number 10 + // * Plot: NAPID + { + for (unsigned int i=0;i<event.mc()->particles().size();i++) + { + if (!PHYSICS->Id->IsFinalState(event.mc()->particles()[i])) continue; + Manager()->FillHisto("10_NAPID", std::abs(event.mc()->particles()[i].pdgid())); + } + } + + // Histogram number 11 + // * Plot: WEIGHTS + { + Manager()->FillHisto("11_WEIGHTS", PHYSICS->weights(event.mc())); + } + + // Histogram number 12 + // * Plot: PT ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("12_PT", _P_ePTorderingfinalstate_REG_[ind[0]]->pt()); + } + } + } + + // Histogram number 13 + // * Plot: ETA ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("13_ETA", _P_ePTorderingfinalstate_REG_[ind[0]]->eta()); + } + } + } + + // Histogram number 14 + // * Plot: ABSETA ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("14_ABSETA", _P_ePTorderingfinalstate_REG_[ind[0]]->abseta()); + } + } + } + + // Histogram number 15 + // * Plot: PHI ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("15_PHI", _P_ePTorderingfinalstate_REG_[ind[0]]->phi()); + } + } + } + + // Histogram number 16 + // * Plot: E ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("16_E", _P_ePTorderingfinalstate_REG_[ind[0]]->e()); + } + } + } + + // Histogram number 17 + // * Plot: ET ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("17_ET", _P_ePTorderingfinalstate_REG_[ind[0]]->et()); + } + } + } + + // Histogram number 18 + // * Plot: M ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("18_M", _P_ePTorderingfinalstate_REG_[ind[0]]->m()); + } + } + } + + // Histogram number 19 + // * Plot: MT ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("19_MT", _P_ePTorderingfinalstate_REG_[ind[0]]->mt()); + } + } + } + + // Histogram number 20 + // * Plot: MT_MET ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("20_MT_MET", _P_ePTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); + } + } + } + + // Histogram number 21 + // * Plot: P ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("21_P", _P_ePTorderingfinalstate_REG_[ind[0]]->p()); + } + } + } + + // Histogram number 22 + // * Plot: PX ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("22_PX", _P_ePTorderingfinalstate_REG_[ind[0]]->px()); + } + } + } + + // Histogram number 23 + // * Plot: PY ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("23_PY", _P_ePTorderingfinalstate_REG_[ind[0]]->py()); + } + } + } + + // Histogram number 24 + // * Plot: PZ ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("24_PZ", _P_ePTorderingfinalstate_REG_[ind[0]]->pz()); + } + } + } + + // Histogram number 25 + // * Plot: R ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("25_R", _P_ePTorderingfinalstate_REG_[ind[0]]->r()); + } + } + } + + // Histogram number 26 + // * Plot: Y ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("26_Y", _P_ePTorderingfinalstate_REG_[ind[0]]->y()); + } + } + } + + // Histogram number 27 + // * Plot: BETA ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("27_BETA", _P_ePTorderingfinalstate_REG_[ind[0]]->beta()); + } + } + } + + // Histogram number 28 + // * Plot: GAMMA ( e ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("28_GAMMA", _P_ePTorderingfinalstate_REG_[ind[0]]->gamma()); + } + } + } + + // Histogram number 29 + // * Plot: PT ( e[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("29_PT", _P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->pt()); + } + } + } + + // Histogram number 30 + // * Plot: ETA ( e[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("30_ETA", _P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->eta()); + } + } + } + + // Histogram number 31 + // * Plot: PHI ( e[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("31_PHI", _P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->phi()); + } + } + } + + // Histogram number 32 + // * Plot: E ( e[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("32_E", _P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->e()); + } + } + } + + // Histogram number 33 + // * Plot: MT_MET ( e[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("33_MT_MET", _P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); + } + } + } + + // Histogram number 34 + // * Plot: PT ( e[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("34_PT", _P_e_I2I_PTorderingfinalstate_REG_[ind[0]]->pt()); + } + } + } + + // Histogram number 35 + // * Plot: ETA ( e[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("35_ETA", _P_e_I2I_PTorderingfinalstate_REG_[ind[0]]->eta()); + } + } + } + + // Histogram number 36 + // * Plot: PHI ( e[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("36_PHI", _P_e_I2I_PTorderingfinalstate_REG_[ind[0]]->phi()); + } + } + } + + // Histogram number 37 + // * Plot: E ( e[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("37_E", _P_e_I2I_PTorderingfinalstate_REG_[ind[0]]->e()); + } + } + } + + // Histogram number 38 + // * Plot: MT_MET ( e[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("38_MT_MET", _P_e_I2I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); + } + } + } + + // Histogram number 39 + // * Plot: M ( e[1] e[2] ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_e_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_e_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_e_I1I_PTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_e_I2I_PTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_e_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("39_M", q.m()); + } + } + } + } + + // Histogram number 40 + // * Plot: PT ( e[1] e[2] ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_e_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_e_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_e_I1I_PTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_e_I2I_PTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_e_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("40_PT", q.pt()); + } + } + } + } + + // Histogram number 41 + // * Plot: DELTAR ( e[1] , e[2] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_e_I1I_PTorderingfinalstate_REG_[a[0]] == _P_e_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("41_DELTAR", _P_e_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_e_I2I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 42 + // * Plot: DPHI_0_PI ( e[1] , e[2] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_e_I1I_PTorderingfinalstate_REG_[a[0]] == _P_e_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("42_DPHI_0_PI", _P_e_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_e_I2I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 43 + // * Plot: DPHI_0_2PI ( e[1] , e[2] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_e_I1I_PTorderingfinalstate_REG_[a[0]] == _P_e_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("43_DPHI_0_2PI", _P_e_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_e_I2I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 44 + // * Plot: PT ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("44_PT", _P_muPTorderingfinalstate_REG_[ind[0]]->pt()); + } + } + } + + // Histogram number 45 + // * Plot: ETA ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("45_ETA", _P_muPTorderingfinalstate_REG_[ind[0]]->eta()); + } + } + } + + // Histogram number 46 + // * Plot: ABSETA ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("46_ABSETA", _P_muPTorderingfinalstate_REG_[ind[0]]->abseta()); + } + } + } + + // Histogram number 47 + // * Plot: PHI ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("47_PHI", _P_muPTorderingfinalstate_REG_[ind[0]]->phi()); + } + } + } + + // Histogram number 48 + // * Plot: E ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("48_E", _P_muPTorderingfinalstate_REG_[ind[0]]->e()); + } + } + } + + // Histogram number 49 + // * Plot: ET ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("49_ET", _P_muPTorderingfinalstate_REG_[ind[0]]->et()); + } + } + } + + // Histogram number 50 + // * Plot: M ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("50_M", _P_muPTorderingfinalstate_REG_[ind[0]]->m()); + } + } + } + + // Histogram number 51 + // * Plot: MT ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("51_MT", _P_muPTorderingfinalstate_REG_[ind[0]]->mt()); + } + } + } + + // Histogram number 52 + // * Plot: MT_MET ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("52_MT_MET", _P_muPTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); + } + } + } + + // Histogram number 53 + // * Plot: P ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("53_P", _P_muPTorderingfinalstate_REG_[ind[0]]->p()); + } + } + } + + // Histogram number 54 + // * Plot: PX ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("54_PX", _P_muPTorderingfinalstate_REG_[ind[0]]->px()); + } + } + } + + // Histogram number 55 + // * Plot: PY ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("55_PY", _P_muPTorderingfinalstate_REG_[ind[0]]->py()); + } + } + } + + // Histogram number 56 + // * Plot: PZ ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("56_PZ", _P_muPTorderingfinalstate_REG_[ind[0]]->pz()); + } + } + } + + // Histogram number 57 + // * Plot: R ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("57_R", _P_muPTorderingfinalstate_REG_[ind[0]]->r()); + } + } + } + + // Histogram number 58 + // * Plot: Y ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("58_Y", _P_muPTorderingfinalstate_REG_[ind[0]]->y()); + } + } + } + + // Histogram number 59 + // * Plot: BETA ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("59_BETA", _P_muPTorderingfinalstate_REG_[ind[0]]->beta()); + } + } + } + + // Histogram number 60 + // * Plot: GAMMA ( mu ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("60_GAMMA", _P_muPTorderingfinalstate_REG_[ind[0]]->gamma()); + } + } + } + + // Histogram number 61 + // * Plot: PT ( mu[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("61_PT", _P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]->pt()); + } + } + } + + // Histogram number 62 + // * Plot: ETA ( mu[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("62_ETA", _P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]->eta()); + } + } + } + + // Histogram number 63 + // * Plot: PHI ( mu[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("63_PHI", _P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]->phi()); + } + } + } + + // Histogram number 64 + // * Plot: E ( mu[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("64_E", _P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]->e()); + } + } + } + + // Histogram number 65 + // * Plot: MT_MET ( mu[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("65_MT_MET", _P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); + } + } + } + + // Histogram number 66 + // * Plot: PT ( mu[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("66_PT", _P_mu_I2I_PTorderingfinalstate_REG_[ind[0]]->pt()); + } + } + } + + // Histogram number 67 + // * Plot: ETA ( mu[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("67_ETA", _P_mu_I2I_PTorderingfinalstate_REG_[ind[0]]->eta()); + } + } + } + + // Histogram number 68 + // * Plot: PHI ( mu[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("68_PHI", _P_mu_I2I_PTorderingfinalstate_REG_[ind[0]]->phi()); + } + } + } + + // Histogram number 69 + // * Plot: E ( mu[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("69_E", _P_mu_I2I_PTorderingfinalstate_REG_[ind[0]]->e()); + } + } + } + + // Histogram number 70 + // * Plot: MT_MET ( mu[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("70_MT_MET", _P_mu_I2I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); + } + } + } + + // Histogram number 71 + // * Plot: M ( mu[1] mu[2] ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_mu_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_mu_I1I_PTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_mu_I2I_PTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_mu_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("71_M", q.m()); + } + } + } + } + + // Histogram number 72 + // * Plot: PT ( mu[1] mu[2] ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_mu_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_mu_I1I_PTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_mu_I2I_PTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_mu_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("72_PT", q.pt()); + } + } + } + } + + // Histogram number 73 + // * Plot: DELTAR ( mu[1] , mu[2] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_mu_I1I_PTorderingfinalstate_REG_[a[0]] == _P_mu_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("73_DELTAR", _P_mu_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_mu_I2I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 74 + // * Plot: DPHI_0_PI ( mu[1] , mu[2] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_mu_I1I_PTorderingfinalstate_REG_[a[0]] == _P_mu_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("74_DPHI_0_PI", _P_mu_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_mu_I2I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 75 + // * Plot: DPHI_0_2PI ( mu[1] , mu[2] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_mu_I1I_PTorderingfinalstate_REG_[a[0]] == _P_mu_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("75_DPHI_0_2PI", _P_mu_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_mu_I2I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 76 + // * Plot: PT ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("76_PT", _P_bPTorderingfinalstate_REG_[ind[0]]->pt()); + } + } + } + + // Histogram number 77 + // * Plot: ETA ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("77_ETA", _P_bPTorderingfinalstate_REG_[ind[0]]->eta()); + } + } + } + + // Histogram number 78 + // * Plot: ABSETA ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("78_ABSETA", _P_bPTorderingfinalstate_REG_[ind[0]]->abseta()); + } + } + } + + // Histogram number 79 + // * Plot: PHI ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("79_PHI", _P_bPTorderingfinalstate_REG_[ind[0]]->phi()); + } + } + } + + // Histogram number 80 + // * Plot: E ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("80_E", _P_bPTorderingfinalstate_REG_[ind[0]]->e()); + } + } + } + + // Histogram number 81 + // * Plot: ET ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("81_ET", _P_bPTorderingfinalstate_REG_[ind[0]]->et()); + } + } + } + + // Histogram number 82 + // * Plot: M ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("82_M", _P_bPTorderingfinalstate_REG_[ind[0]]->m()); + } + } + } + + // Histogram number 83 + // * Plot: MT ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("83_MT", _P_bPTorderingfinalstate_REG_[ind[0]]->mt()); + } + } + } + + // Histogram number 84 + // * Plot: MT_MET ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("84_MT_MET", _P_bPTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); + } + } + } + + // Histogram number 85 + // * Plot: P ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("85_P", _P_bPTorderingfinalstate_REG_[ind[0]]->p()); + } + } + } + + // Histogram number 86 + // * Plot: PX ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("86_PX", _P_bPTorderingfinalstate_REG_[ind[0]]->px()); + } + } + } + + // Histogram number 87 + // * Plot: PY ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("87_PY", _P_bPTorderingfinalstate_REG_[ind[0]]->py()); + } + } + } + + // Histogram number 88 + // * Plot: PZ ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("88_PZ", _P_bPTorderingfinalstate_REG_[ind[0]]->pz()); + } + } + } + + // Histogram number 89 + // * Plot: R ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("89_R", _P_bPTorderingfinalstate_REG_[ind[0]]->r()); + } + } + } + + // Histogram number 90 + // * Plot: Y ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("90_Y", _P_bPTorderingfinalstate_REG_[ind[0]]->y()); + } + } + } + + // Histogram number 91 + // * Plot: BETA ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("91_BETA", _P_bPTorderingfinalstate_REG_[ind[0]]->beta()); + } + } + } + + // Histogram number 92 + // * Plot: GAMMA ( b ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("92_GAMMA", _P_bPTorderingfinalstate_REG_[ind[0]]->gamma()); + } + } + } + + // Histogram number 93 + // * Plot: PT ( b[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("93_PT", _P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->pt()); + } + } + } + + // Histogram number 94 + // * Plot: ETA ( b[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("94_ETA", _P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->eta()); + } + } + } + + // Histogram number 95 + // * Plot: PHI ( b[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("95_PHI", _P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->phi()); + } + } + } + + // Histogram number 96 + // * Plot: E ( b[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("96_E", _P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->e()); + } + } + } + + // Histogram number 97 + // * Plot: MT_MET ( b[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("97_MT_MET", _P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); + } + } + } + + // Histogram number 98 + // * Plot: PT ( b[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("98_PT", _P_b_I2I_PTorderingfinalstate_REG_[ind[0]]->pt()); + } + } + } + + // Histogram number 99 + // * Plot: ETA ( b[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("99_ETA", _P_b_I2I_PTorderingfinalstate_REG_[ind[0]]->eta()); + } + } + } + + // Histogram number 100 + // * Plot: PHI ( b[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("100_PHI", _P_b_I2I_PTorderingfinalstate_REG_[ind[0]]->phi()); + } + } + } + + // Histogram number 101 + // * Plot: E ( b[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("101_E", _P_b_I2I_PTorderingfinalstate_REG_[ind[0]]->e()); + } + } + } + + // Histogram number 102 + // * Plot: MT_MET ( b[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("102_MT_MET", _P_b_I2I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); + } + } + } + + // Histogram number 103 + // * Plot: M ( b[1] b[2] ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_b_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_b_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_b_I1I_PTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_b_I2I_PTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_b_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("103_M", q.m()); + } + } + } + } + + // Histogram number 104 + // * Plot: PT ( b[1] b[2] ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_b_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_b_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_b_I1I_PTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_b_I2I_PTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_b_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("104_PT", q.pt()); + } + } + } + } + + // Histogram number 105 + // * Plot: DELTAR ( b[1] , b[2] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_b_I1I_PTorderingfinalstate_REG_[a[0]] == _P_b_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("105_DELTAR", _P_b_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_b_I2I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 106 + // * Plot: DPHI_0_PI ( b[1] , b[2] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_b_I1I_PTorderingfinalstate_REG_[a[0]] == _P_b_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("106_DPHI_0_PI", _P_b_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_b_I2I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 107 + // * Plot: DPHI_0_2PI ( b[1] , b[2] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_b_I1I_PTorderingfinalstate_REG_[a[0]] == _P_b_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("107_DPHI_0_2PI", _P_b_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_b_I2I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 108 + // * Plot: PT ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("108_PT", _P_jPTorderingfinalstate_REG_[ind[0]]->pt()); + } + } + } + + // Histogram number 109 + // * Plot: ETA ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("109_ETA", _P_jPTorderingfinalstate_REG_[ind[0]]->eta()); + } + } + } + + // Histogram number 110 + // * Plot: ABSETA ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("110_ABSETA", _P_jPTorderingfinalstate_REG_[ind[0]]->abseta()); + } + } + } + + // Histogram number 111 + // * Plot: PHI ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("111_PHI", _P_jPTorderingfinalstate_REG_[ind[0]]->phi()); + } + } + } + + // Histogram number 112 + // * Plot: E ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("112_E", _P_jPTorderingfinalstate_REG_[ind[0]]->e()); + } + } + } + + // Histogram number 113 + // * Plot: ET ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("113_ET", _P_jPTorderingfinalstate_REG_[ind[0]]->et()); + } + } + } + + // Histogram number 114 + // * Plot: M ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("114_M", _P_jPTorderingfinalstate_REG_[ind[0]]->m()); + } + } + } + + // Histogram number 115 + // * Plot: MT ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("115_MT", _P_jPTorderingfinalstate_REG_[ind[0]]->mt()); + } + } + } + + // Histogram number 116 + // * Plot: MT_MET ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("116_MT_MET", _P_jPTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); + } + } + } + + // Histogram number 117 + // * Plot: P ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("117_P", _P_jPTorderingfinalstate_REG_[ind[0]]->p()); + } + } + } + + // Histogram number 118 + // * Plot: PX ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("118_PX", _P_jPTorderingfinalstate_REG_[ind[0]]->px()); + } + } + } + + // Histogram number 119 + // * Plot: PY ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("119_PY", _P_jPTorderingfinalstate_REG_[ind[0]]->py()); + } + } + } + + // Histogram number 120 + // * Plot: PZ ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("120_PZ", _P_jPTorderingfinalstate_REG_[ind[0]]->pz()); + } + } + } + + // Histogram number 121 + // * Plot: R ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("121_R", _P_jPTorderingfinalstate_REG_[ind[0]]->r()); + } + } + } + + // Histogram number 122 + // * Plot: Y ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("122_Y", _P_jPTorderingfinalstate_REG_[ind[0]]->y()); + } + } + } + + // Histogram number 123 + // * Plot: BETA ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("123_BETA", _P_jPTorderingfinalstate_REG_[ind[0]]->beta()); + } + } + } + + // Histogram number 124 + // * Plot: GAMMA ( j ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("124_GAMMA", _P_jPTorderingfinalstate_REG_[ind[0]]->gamma()); + } + } + } + + // Histogram number 125 + // * Plot: PT ( j[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("125_PT", _P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->pt()); + } + } + } + + // Histogram number 126 + // * Plot: ETA ( j[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("126_ETA", _P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->eta()); + } + } + } + + // Histogram number 127 + // * Plot: PHI ( j[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("127_PHI", _P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->phi()); + } + } + } + + // Histogram number 128 + // * Plot: E ( j[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("128_E", _P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->e()); + } + } + } + + // Histogram number 129 + // * Plot: MT_MET ( j[1] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("129_MT_MET", _P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); + } + } + } + + // Histogram number 130 + // * Plot: PT ( j[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("130_PT", _P_j_I2I_PTorderingfinalstate_REG_[ind[0]]->pt()); + } + } + } + + // Histogram number 131 + // * Plot: ETA ( j[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("131_ETA", _P_j_I2I_PTorderingfinalstate_REG_[ind[0]]->eta()); + } + } + } + + // Histogram number 132 + // * Plot: PHI ( j[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("132_PHI", _P_j_I2I_PTorderingfinalstate_REG_[ind[0]]->phi()); + } + } + } + + // Histogram number 133 + // * Plot: E ( j[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("133_E", _P_j_I2I_PTorderingfinalstate_REG_[ind[0]]->e()); + } + } + } + + // Histogram number 134 + // * Plot: MT_MET ( j[2] ) + { + { + MAuint32 ind[1]; + for (ind[0]=0;ind[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[0]++) + { + Manager()->FillHisto("134_MT_MET", _P_j_I2I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); + } + } + } + + // Histogram number 135 + // * Plot: M ( j[1] j[2] ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_j_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_j_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_j_I1I_PTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_j_I2I_PTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_j_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("135_M", q.m()); + } + } + } + } + + // Histogram number 136 + // * Plot: PT ( j[1] j[2] ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_j_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_j_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_j_I1I_PTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_j_I2I_PTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_j_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("136_PT", q.pt()); + } + } + } + } + + // Histogram number 137 + // * Plot: DELTAR ( j[1] , j[2] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_j_I1I_PTorderingfinalstate_REG_[a[0]] == _P_j_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("137_DELTAR", _P_j_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_j_I2I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 138 + // * Plot: DPHI_0_PI ( j[1] , j[2] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_j_I1I_PTorderingfinalstate_REG_[a[0]] == _P_j_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("138_DPHI_0_PI", _P_j_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_j_I2I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 139 + // * Plot: DPHI_0_2PI ( j[1] , j[2] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_j_I1I_PTorderingfinalstate_REG_[a[0]] == _P_j_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("139_DPHI_0_2PI", _P_j_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_j_I2I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 140 + // * Plot: DELTAR ( e , e ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_ePTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_ePTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_ePTorderingfinalstate_REG_[a[0]] == _P_ePTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("140_DELTAR", _P_ePTorderingfinalstate_REG_[a[0]]->dr(_P_ePTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 141 + // * Plot: DPHI_0_PI ( e , e ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_ePTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_ePTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_ePTorderingfinalstate_REG_[a[0]] == _P_ePTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("141_DPHI_0_PI", _P_ePTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_ePTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 142 + // * Plot: DPHI_0_2PI ( e , e ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_ePTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_ePTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_ePTorderingfinalstate_REG_[a[0]] == _P_ePTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("142_DPHI_0_2PI", _P_ePTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_ePTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 143 + // * Plot: M ( e e ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_ePTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_ePTorderingfinalstate_REG_[ind[1]]==_P_ePTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_ePTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_ePTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_ePTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_ePTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("143_M", q.m()); + } + } + } + } + + // Histogram number 144 + // * Plot: PT ( e e ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_ePTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_ePTorderingfinalstate_REG_[ind[1]]==_P_ePTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_ePTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_ePTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_ePTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_ePTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("144_PT", q.pt()); + } + } + } + } + + // Histogram number 145 + // * Plot: DELTAR ( mu , mu ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_muPTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_muPTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_muPTorderingfinalstate_REG_[a[0]] == _P_muPTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("145_DELTAR", _P_muPTorderingfinalstate_REG_[a[0]]->dr(_P_muPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 146 + // * Plot: DPHI_0_PI ( mu , mu ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_muPTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_muPTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_muPTorderingfinalstate_REG_[a[0]] == _P_muPTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("146_DPHI_0_PI", _P_muPTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_muPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 147 + // * Plot: DPHI_0_2PI ( mu , mu ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_muPTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_muPTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_muPTorderingfinalstate_REG_[a[0]] == _P_muPTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("147_DPHI_0_2PI", _P_muPTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_muPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 148 + // * Plot: M ( mu mu ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_muPTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_muPTorderingfinalstate_REG_[ind[1]]==_P_muPTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_muPTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_muPTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_muPTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_muPTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("148_M", q.m()); + } + } + } + } + + // Histogram number 149 + // * Plot: PT ( mu mu ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_muPTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_muPTorderingfinalstate_REG_[ind[1]]==_P_muPTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_muPTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_muPTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_muPTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_muPTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("149_PT", q.pt()); + } + } + } + } + + // Histogram number 150 + // * Plot: DELTAR ( b , b ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_bPTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_bPTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_bPTorderingfinalstate_REG_[a[0]] == _P_bPTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("150_DELTAR", _P_bPTorderingfinalstate_REG_[a[0]]->dr(_P_bPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 151 + // * Plot: DPHI_0_PI ( b , b ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_bPTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_bPTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_bPTorderingfinalstate_REG_[a[0]] == _P_bPTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("151_DPHI_0_PI", _P_bPTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_bPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 152 + // * Plot: DPHI_0_2PI ( b , b ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_bPTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_bPTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_bPTorderingfinalstate_REG_[a[0]] == _P_bPTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("152_DPHI_0_2PI", _P_bPTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_bPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 153 + // * Plot: M ( b b ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_bPTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_bPTorderingfinalstate_REG_[ind[1]]==_P_bPTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_bPTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_bPTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_bPTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_bPTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("153_M", q.m()); + } + } + } + } + + // Histogram number 154 + // * Plot: PT ( b b ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_bPTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_bPTorderingfinalstate_REG_[ind[1]]==_P_bPTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_bPTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_bPTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_bPTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_bPTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("154_PT", q.pt()); + } + } + } + } + + // Histogram number 155 + // * Plot: DELTAR ( j , j ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_jPTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_jPTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_jPTorderingfinalstate_REG_[a[0]] == _P_jPTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("155_DELTAR", _P_jPTorderingfinalstate_REG_[a[0]]->dr(_P_jPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 156 + // * Plot: DPHI_0_PI ( j , j ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_jPTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_jPTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_jPTorderingfinalstate_REG_[a[0]] == _P_jPTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("156_DPHI_0_PI", _P_jPTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_jPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 157 + // * Plot: DPHI_0_2PI ( j , j ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_jPTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_jPTorderingfinalstate_REG_.size();b[0]++) + { + if ( _P_jPTorderingfinalstate_REG_[a[0]] == _P_jPTorderingfinalstate_REG_[b[0]] ) continue; + Manager()->FillHisto("157_DPHI_0_2PI", _P_jPTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_jPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 158 + // * Plot: M ( j j ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_jPTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_jPTorderingfinalstate_REG_[ind[1]]==_P_jPTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_jPTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_jPTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_jPTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_jPTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("158_M", q.m()); + } + } + } + } + + // Histogram number 159 + // * Plot: PT ( j j ) + { + { + MAuint32 ind[2]; + std::vector<std::set<const MCParticleFormat*> > combis; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_jPTorderingfinalstate_REG_.size();ind[1]++) + { + if (_P_jPTorderingfinalstate_REG_[ind[1]]==_P_jPTorderingfinalstate_REG_[ind[0]]) continue; + + // Checking if consistent combination + std::set<const MCParticleFormat*> mycombi; + for (MAuint32 i=0;i<2;i++) + { + mycombi.insert(_P_jPTorderingfinalstate_REG_[ind[i]]); + mycombi.insert(_P_jPTorderingfinalstate_REG_[ind[i]]); + } + MAbool matched=false; + for (MAuint32 i=0;i<combis.size();i++) + if (combis[i]==mycombi) {matched=true; break;} + if (matched) continue; + else combis.push_back(mycombi); + + ParticleBaseFormat q; + q+=_P_jPTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_jPTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("159_PT", q.pt()); + } + } + } + } + + // Histogram number 160 + // * Plot: DELTAR ( e , mu ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_ePTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_muPTorderingfinalstate_REG_.size();b[0]++) + { + Manager()->FillHisto("160_DELTAR", _P_ePTorderingfinalstate_REG_[a[0]]->dr(_P_muPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 161 + // * Plot: DELTAR ( e , j ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_ePTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_jPTorderingfinalstate_REG_.size();b[0]++) + { + Manager()->FillHisto("161_DELTAR", _P_ePTorderingfinalstate_REG_[a[0]]->dr(_P_jPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 162 + // * Plot: DELTAR ( mu , j ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_muPTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_jPTorderingfinalstate_REG_.size();b[0]++) + { + Manager()->FillHisto("162_DELTAR", _P_muPTorderingfinalstate_REG_[a[0]]->dr(_P_jPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 163 + // * Plot: DELTAR ( b , j ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_bPTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_jPTorderingfinalstate_REG_.size();b[0]++) + { + Manager()->FillHisto("163_DELTAR", _P_bPTorderingfinalstate_REG_[a[0]]->dr(_P_jPTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 164 + // * Plot: M ( e mu ) + { + { + MAuint32 ind[2]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_muPTorderingfinalstate_REG_.size();ind[1]++) + { + ParticleBaseFormat q; + q+=_P_ePTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_muPTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("164_M", q.m()); + } + } + } + } + + // Histogram number 165 + // * Plot: M ( e j ) + { + { + MAuint32 ind[2]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_jPTorderingfinalstate_REG_.size();ind[1]++) + { + ParticleBaseFormat q; + q+=_P_ePTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_jPTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("165_M", q.m()); + } + } + } + } + + // Histogram number 166 + // * Plot: M ( j mu ) + { + { + MAuint32 ind[2]; + for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_muPTorderingfinalstate_REG_.size();ind[1]++) + { + ParticleBaseFormat q; + q+=_P_jPTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_muPTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("166_M", q.m()); + } + } + } + } + + // Histogram number 167 + // * Plot: M ( b j ) + { + { + MAuint32 ind[2]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_jPTorderingfinalstate_REG_.size();ind[1]++) + { + ParticleBaseFormat q; + q+=_P_bPTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_jPTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("167_M", q.m()); + } + } + } + } + + // Histogram number 168 + // * Plot: PT ( e mu ) + { + { + MAuint32 ind[2]; + for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_muPTorderingfinalstate_REG_.size();ind[1]++) + { + ParticleBaseFormat q; + q+=_P_ePTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_muPTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("168_PT", q.pt()); + } + } + } + } + + // Histogram number 169 + // * Plot: PT ( b j ) + { + { + MAuint32 ind[2]; + for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_jPTorderingfinalstate_REG_.size();ind[1]++) + { + ParticleBaseFormat q; + q+=_P_bPTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_jPTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("169_PT", q.pt()); + } + } + } + } + + // Histogram number 170 + // * Plot: DELTAR ( e[1] , mu[1] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();b[0]++) + { + Manager()->FillHisto("170_DELTAR", _P_e_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_mu_I1I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 171 + // * Plot: DELTAR ( e[1] , j[1] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();b[0]++) + { + Manager()->FillHisto("171_DELTAR", _P_e_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_j_I1I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 172 + // * Plot: DELTAR ( mu[1] , j[1] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();b[0]++) + { + Manager()->FillHisto("172_DELTAR", _P_mu_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_j_I1I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 173 + // * Plot: DELTAR ( b[1] , j[1] ) + { + { + MAuint32 a[1]; + for (a[0]=0;a[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();a[0]++) + { + MAuint32 b[1]; + for (b[0]=0;b[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();b[0]++) + { + Manager()->FillHisto("173_DELTAR", _P_b_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_j_I1I_PTorderingfinalstate_REG_[b[0]])); + } + } + } + } + + // Histogram number 174 + // * Plot: M ( e[1] mu[1] ) + { + { + MAuint32 ind[2]; + for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[1]++) + { + ParticleBaseFormat q; + q+=_P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_mu_I1I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("174_M", q.m()); + } + } + } + } + + // Histogram number 175 + // * Plot: M ( e[1] j[1] ) + { + { + MAuint32 ind[2]; + for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[1]++) + { + ParticleBaseFormat q; + q+=_P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_j_I1I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("175_M", q.m()); + } + } + } + } + + // Histogram number 176 + // * Plot: M ( j[1] mu[1] ) + { + { + MAuint32 ind[2]; + for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[1]++) + { + ParticleBaseFormat q; + q+=_P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_mu_I1I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("176_M", q.m()); + } + } + } + } + + // Histogram number 177 + // * Plot: M ( b[1] j[1] ) + { + { + MAuint32 ind[2]; + for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[1]++) + { + ParticleBaseFormat q; + q+=_P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_j_I1I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("177_M", q.m()); + } + } + } + } + + // Histogram number 178 + // * Plot: PT ( e[1] mu[1] ) + { + { + MAuint32 ind[2]; + for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[1]++) + { + ParticleBaseFormat q; + q+=_P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_mu_I1I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("178_PT", q.pt()); + } + } + } + } + + // Histogram number 179 + // * Plot: PT ( b[1] j[1] ) + { + { + MAuint32 ind[2]; + for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) + { + for (ind[1]=0;ind[1]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[1]++) + { + ParticleBaseFormat q; + q+=_P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); + q+=_P_j_I1I_PTorderingfinalstate_REG_[ind[1]]->momentum(); + Manager()->FillHisto("179_PT", q.pt()); + } + } + } + } + + return true; +} + +void user::Finalize(const SampleFormat& summary, const std::vector<SampleFormat>& files) +{ +} diff --git a/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/user.h b/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/user.h new file mode 100644 index 00000000..4486ed3b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/user.h @@ -0,0 +1,56 @@ +#ifndef analysis_user_h +#define analysis_user_h + +#include "SampleAnalyzer/Process/Analyzer/AnalyzerBase.h" +#include "SampleAnalyzer/Interfaces/root/RootMainHeaders.h" + +namespace MA5 +{ +class user : public AnalyzerBase +{ + INIT_ANALYSIS(user, "MadAnalysis5job") + + public : + MAbool Initialize(const MA5::Configuration& cfg, + const std::map<std::string,std::string>& parameters); + void Finalize(const SampleFormat& summary, const std::vector<SampleFormat>& files); + MAbool Execute(SampleFormat& sample, const EventFormat& event); + + private : + // Declaring particle containers + std::vector<const MCParticleFormat*> _P_e_I2I_PTorderingfinalstate_REG_; + std::vector<const MCParticleFormat*> _P_mu_I2I_PTorderingfinalstate_REG_; + std::vector<const MCParticleFormat*> _P_b_I2I_PTorderingfinalstate_REG_; + std::vector<const MCParticleFormat*> _P_j_I2I_PTorderingfinalstate_REG_; + std::vector<const MCParticleFormat*> _P_e_I1I_PTorderingfinalstate_REG_; + std::vector<const MCParticleFormat*> _P_mu_I1I_PTorderingfinalstate_REG_; + std::vector<const MCParticleFormat*> _P_b_I1I_PTorderingfinalstate_REG_; + std::vector<const MCParticleFormat*> _P_j_I1I_PTorderingfinalstate_REG_; + std::vector<const MCParticleFormat*> _P_ePTorderingfinalstate_REG_; + MAbool isP__ePTorderingfinalstate(const MCParticleFormat* part) const { + if ( part==0 ) return false; + if ( !PHYSICS->Id->IsFinalState(part) ) return false; + if ( (part->pdgid()!=-11)&&(part->pdgid()!=11) ) return false; + return true; } + std::vector<const MCParticleFormat*> _P_muPTorderingfinalstate_REG_; + MAbool isP__muPTorderingfinalstate(const MCParticleFormat* part) const { + if ( part==0 ) return false; + if ( !PHYSICS->Id->IsFinalState(part) ) return false; + if ( (part->pdgid()!=-13)&&(part->pdgid()!=13) ) return false; + return true; } + std::vector<const MCParticleFormat*> _P_bPTorderingfinalstate_REG_; + MAbool isP__bPTorderingfinalstate(const MCParticleFormat* part) const { + if ( part==0 ) return false; + if ( !PHYSICS->Id->IsFinalState(part) ) return false; + if ( (part->pdgid()!=5) ) return false; + return true; } + std::vector<const MCParticleFormat*> _P_jPTorderingfinalstate_REG_; + MAbool isP__jPTorderingfinalstate(const MCParticleFormat* part) const { + if ( part==0 ) return false; + if ( !PHYSICS->Id->IsFinalState(part) ) return false; + if ( 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/dev/null +++ b/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/newAnalyzer.py @@ -0,0 +1,439 @@ +#!/usr/bin/env python + +################################################################################ +# +# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# The MadAnalysis development team, email: <ma5team@iphc.cnrs.fr> +# +# This file is part of MadAnalysis 5. +# Official website: <https://github.com/MadAnalysis/madanalysis5> +# +# MadAnalysis 5 is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. +# +# MadAnalysis 5 is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with MadAnalysis 5. If not, see <http://www.gnu.org/licenses/> +# +################################################################################ + + +from __future__ import absolute_import +from __future__ import print_function +import os +import sys +import shutil +from six.moves import input + +class AnalyzerManager: + + def __init__(self,name,title): + self.name = name + self.title = title + self.currentdir = os.getcwd() + + def CheckFilePresence(self): + if not os.path.isdir(self.currentdir + "/User/Analyzer"): + print(" Error: the directory called 'User/Analyzer' is not found.") + return False + if os.path.isfile(self.currentdir + "/User/Analyzer/" + self.name + ".cpp"): + print(" Error: a file called 'User/Analyzer/"+self.name+\ + ".cpp' is already defined.") + print(" Please remove this file before.") + return False + if os.path.isfile(self.currentdir + "/User/Analyzer/" + self.name + ".h"): + print(" Error: a file called 'User/Analyzer/"+self.name+\ + ".h' is already defined.") + print(" Please remove this file before.") + return False + return True + + def AddAnalyzer(self): + # creating the file from scratch + if not os.path.isfile(self.currentdir + "/User/Analyzer/analysisList.h"): + output = open(self.currentdir + "/User/Analyzer/analysisList.h","w") + path = os.path.normpath(self.name+".h") + output.write('#include "SampleAnalyzer/User/Analyzer/'+path+'"\n') + output.write('#include "SampleAnalyzer/Process/Analyzer/AnalyzerManager.h"\n') + output.write('#include "SampleAnalyzer/Commons/Service/LogStream.h"\n') + output.write('\n') + output.write('// -----------------------------------------------------------------------------\n') + output.write('// BuildTable\n') + output.write('// -----------------------------------------------------------------------------\n') + output.write('void BuildUserTable(MA5::AnalyzerManager& manager)\n') + output.write('{\n') + output.write(' using namespace MA5;\n') + output.write(' manager.Add("'+self.title+'",new '+self.name+");\n") + output.write('}\n') + output.close() + + # updating the file + else: + shutil.copy(self.currentdir + "/User/Analyzer/analysisList.h", + self.currentdir + "/User/Analyzer/analysisList.bak") + output = open(self.currentdir + "/User/Analyzer/analysisList.h","w") + input = open(self.currentdir + "/User/Analyzer/analysisList.bak") + + path = os.path.normpath(self.name+".h") + output.write('#include "SampleAnalyzer/User/Analyzer/'+path+'"\n') + + for line in input: + + theline = line.lstrip() + theline = theline.split() + tit = self.title.replace(' ','_') + for word in theline: + if word=="}": + output.write(' manager.Add("'+self.title+'",new '+self.name+');\n') + continue + + output.write(line) + + input.close() + output.close() + + def WriteHeader(self): + + file = open(self.currentdir + "/User/Analyzer/" + self.name + ".h","w") + file.write('#ifndef ANALYSIS_'+self.name.upper()+'_H\n') + file.write('#define ANALYSIS_'+self.name.upper()+'_H\n\n') + file.write('#include "SampleAnalyzer/Process/Analyzer/AnalyzerBase.h"\n\n') + file.write('namespace MA5\n') + file.write('{\n') + file.write(' class '+self.name+' : public AnalyzerBase\n') + file.write(' {\n') + file.write(' INIT_ANALYSIS('+self.name+', "'+self.title+'")\n\n') + file.write(' public:\n') + file.write(' bool Initialize(const MA5::Configuration& cfg,\n') + file.write(' const std::map<std::string,std::string>& parameters);\n') + file.write(' void Finalize(const SampleFormat& summary, const std::vector<SampleFormat>& files);\n') + file.write(' bool Execute(SampleFormat& sample, const EventFormat& event);\n\n') + file.write(' private:\n') + file.write(' };\n') + file.write('}\n\n') + file.write('#endif // ANALYSIS_'+self.name.upper()+'_H') + file.close() + def WriteSource(self): + + file = open(self.currentdir + "/User/Analyzer/" + self.name + ".cpp","w") + file.write('#include "SampleAnalyzer/User/Analyzer/'+self.name+'.h"\n') + file.write('using namespace MA5;\n') + file.write('using namespace std;\n') + file.write('\n') + file.write('// -----------------------------------------------------------------------------\n') + file.write('// Initialize\n') + file.write('// function called one time at the beginning of the analysis\n') + file.write('// -----------------------------------------------------------------------------\n') + file.write('bool '+self.name+'::Initialize(const MA5::Configuration& cfg, const std::map<std::string,std::string>& parameters)\n') + file.write('{\n') + file.write(' cout << "BEGIN Initialization" << endl;\n') + file.write(' // initialize variables, histos\n') + file.write(' cout << "END Initialization" << endl;\n') + file.write(' return true;\n') + file.write('}\n') + file.write('\n') + file.write('// -----------------------------------------------------------------------------\n') + file.write('// Finalize\n') + file.write('// function called one time at the end of the analysis\n') + file.write('// -----------------------------------------------------------------------------\n') + file.write('void '+self.name+'::Finalize(const SampleFormat& summary, const std::vector<SampleFormat>& files)\n') + file.write('{\n') + file.write(' cout << "BEGIN Finalization" << endl;\n') + file.write(' // saving histos\n') + file.write(' cout << "END Finalization" << endl;\n') + file.write('}\n') + file.write('\n') + file.write('// -----------------------------------------------------------------------------\n') + file.write('// Execute\n') + file.write('// function called each time one event is read\n') + file.write('// -----------------------------------------------------------------------------\n') + file.write('bool '+self.name+'::Execute(SampleFormat& sample, const EventFormat& event)\n') + file.write('{\n') + file.write(' // ***************************************************************************\n') + file.write(' // Example of analysis with generated particles\n') + file.write(' // Concerned samples : LHE/STDHEP/HEPMC\n') + file.write(' // ***************************************************************************\n') + file.write(' /*\n') + file.write(' if (event.mc()!=0)\n') + file.write(' {\n') + file.write(' cout << "---------------NEW EVENT-------------------" << endl;\n') + file.write('\n') + file.write(' // Event weight\n') + file.write(' double myWeight=1.;\n') + file.write(' if (!Configuration().IsNoEventWeight()) myWeight=event.mc()->weight();\n') + file.write('\n') + file.write(' // Initial state\n') + file.write(' for (MAuint32 i=0;i<event.mc()->particles().size();i++)\n') + file.write(' {\n') + file.write(' const MCParticleFormat& part = event.mc()->particles()[i];\n') + file.write('\n') + file.write(' cout << "----------------------------------" << endl;\n') + file.write(' cout << "MC particle" << endl;\n') + file.write(' cout << "----------------------------------" << endl;\n') + file.write('\n') + file.write(' // display index particle\n') + file.write(' cout << "index=" << i+1;\n') + file.write('\n') + file.write(' // display the status code\n') + file.write(' cout << "Status Code=" << part.statuscode() << endl;\n') + file.write(' if (PHYSICS->Id->IsInitialState(part)) cout << " (Initial state) ";\n') + file.write(' else if (PHYSICS->Id->IsFinalState(part)) cout << " (Final state) ";\n') + file.write(' else cout << " (Intermediate state) ";\n') + file.write(' cout << endl;\n') + file.write('\n') + file.write(' // pdgid\n') + file.write(' cout << "pdg id=" << part.pdgid() << endl;\n') + file.write(' if (PHYSICS->Id->IsInvisible(part)) cout << " (invisible particle) ";\n') + file.write(' else cout << " (visible particle) ";\n') + file.write(' cout << endl;\n') + file.write('\n') + file.write(' // display kinematics information\n') + file.write(' cout << "px=" << part.px()\n') + file.write(' << " py=" << part.py()\n') + file.write(' << " pz=" << part.pz()\n') + file.write(' << " e=" << part.e()\n') + file.write(' << " m=" << part.m() << endl;\n') + file.write(' cout << "pt=" << part.pt() \n') + file.write(' << " eta=" << part.eta() \n') + file.write(' << " phi=" << part.phi() << endl;\n') + file.write('\n') + file.write(' // display particle mother id\n') + file.write(' if (part.mothers().empty()) \n') + file.write(' {\n') + file.write(' cout << "particle with no mother." << endl;\n') + file.write(' }\n') + file.write(' else\n') + file.write(' {\n') + file.write(' std::cout << "particle coming from the decay of";\n') + file.write(' for(MAuint32 j=0;j<part.mothers().size();j++)\n') + file.write(' {\n') + file.write(' const MCParticleFormat* mother = part.mothers()[j];\n') + file.write(' cout << " " << mother->pdgid();\n') + file.write(' }\n') + file.write(' std::cout << "." << endl;\n') + file.write(' }\n') + file.write(' }\n') + file.write('\n') + file.write(' // Transverse missing energy (MET)\n') + file.write(' cout << "MET pt=" << event.mc()->MET().pt()\n') + file.write(' << " phi=" << event.mc()->MET().phi() << endl;\n') + file.write(' cout << endl;\n') + file.write('\n') + file.write(' // Transverse missing hadronic energy (MHT)\n') + file.write(' cout << "MHT pt=" << event.mc()->MHT().pt()\n') + file.write(' << " phi=" << event.mc()->MHT().phi() << endl;\n') + file.write(' cout << endl;\n') + file.write('\n') + file.write(' // Total transverse energy (TET)\n') + file.write(' cout << "TET=" << event.mc()->TET() << endl;\n') + file.write(' cout << endl;\n') + file.write('\n') + file.write(' // Total transverse hadronic energy (THT)\n') + file.write(' cout << "THT=" << event.mc()->THT() << endl; \n') + file.write(' cout << endl;\n') + file.write('\n') + file.write(' return true;\n') + file.write(' }\n') + file.write(' */\n') + file.write('\n\n') + file.write(' // ***************************************************************************\n') + file.write(' // Example of analysis with reconstructed objects\n') + file.write(' // Concerned samples : \n') + file.write(' // - LHCO samples\n') + file.write(' // - LHE/STDHEP/HEPMC samples after applying jet-clustering algorithm\n') + file.write(' // ***************************************************************************\n') + file.write(' /*\n') + file.write(' // Event weight\n') + file.write(' double myWeight=1.;\n') + file.write(' if (!Configuration().IsNoEventWeight() && event.mc()!=0) myWeight=event.mc()->weight();\n') + file.write('\n') + file.write(' Manager()->InitializeForNewEvent(myWeight);\n\n') + file.write(' if (event.rec()!=0)\n') + file.write(' {\n') + file.write(' cout << "---------------NEW EVENT-------------------" << endl;\n') + file.write('\n') + file.write(' // Looking through the reconstructed electron collection\n') + file.write(' for (MAuint32 i=0;i<event.rec()->electrons().size();i++)\n') + file.write(' {\n') + file.write(' const RecLeptonFormat& elec = event.rec()->electrons()[i];\n') + file.write(' cout << "----------------------------------" << endl;\n') + file.write(' cout << "Electron" << endl;\n') + file.write(' cout << "----------------------------------" << endl;\n') + file.write(' cout << "index=" << i+1 \n') + file.write(' << " charge=" << elec.charge() << endl;\n') + file.write(' cout << "px=" << elec.px()\n') + file.write(' << " py=" << elec.py()\n') + file.write(' << " pz=" << elec.pz()\n') + file.write(' << " e=" << elec.e()\n') + file.write(' << " m=" << elec.m() << endl;\n') + file.write(' cout << "pt=" << elec.pt() \n') + file.write(' << " eta=" << elec.eta() \n') + file.write(' << " phi=" << elec.phi() << endl;\n') + file.write(' cout << "pointer address to the matching MC particle: " \n') + file.write(' << elec.mc() << endl;\n') + file.write(' cout << endl;\n') + file.write(' }\n') + file.write('\n') + file.write(' // Looking through the reconstructed muon collection\n') + file.write(' for (MAuint32 i=0;i<event.rec()->muons().size();i++)\n') + file.write(' {\n') + file.write(' const RecLeptonFormat& mu = event.rec()->muons()[i];\n') + file.write(' cout << "----------------------------------" << endl;\n') + file.write(' cout << "Muon" << endl;\n') + file.write(' cout << "----------------------------------" << endl;\n') + file.write(' cout << "index=" << i+1 \n') + file.write(' << " charge=" << mu.charge() << endl;\n') + file.write(' cout << "px=" << mu.px()\n') + file.write(' << " py=" << mu.py()\n') + file.write(' << " pz=" << mu.pz()\n') + file.write(' << " e=" << mu.e()\n') + file.write(' << " m=" << mu.m() << endl;\n') + file.write(' cout << "pt=" << mu.pt() \n') + file.write(' << " eta=" << mu.eta() \n') + file.write(' << " phi=" << mu.phi() << endl;\n') + file.write(' cout << "ET/PT isolation criterion =" << mu.ET_PT_isol() << endl;\n') + file.write(' cout << "pointer address to the matching MC particle: " \n') + file.write(' << mu.mc() << endl;\n') + file.write(' cout << endl;\n') + file.write(' }\n') + file.write('\n') + file.write(' // Looking through the reconstructed hadronic tau collection\n') + file.write(' for (MAuint32 i=0;i<event.rec()->taus().size();i++)\n') + file.write(' {\n') + file.write(' const RecTauFormat& tau = event.rec()->taus()[i];\n') + file.write(' cout << "----------------------------------" << endl;\n') + file.write(' cout << "Tau" << endl;\n') + file.write(' cout << "----------------------------------" << endl;\n') + file.write(' cout << "tau: index=" << i+1 \n') + file.write(' << " charge=" << tau.charge() << endl;\n') + file.write(' cout << "px=" << tau.px()\n') + file.write(' << " py=" << tau.py()\n') + file.write(' << " pz=" << tau.pz()\n') + file.write(' << " e=" << tau.e()\n') + file.write(' << " m=" << tau.m() << endl;\n') + file.write(' cout << "pt=" << tau.pt() \n') + file.write(' << " eta=" << tau.eta() \n') + file.write(' << " phi=" << tau.phi() << endl;\n') + file.write(' cout << "pointer address to the matching MC particle: " \n') + file.write(' << tau.mc() << endl;\n') + file.write(' cout << endl;\n') + file.write(' }\n') + file.write('\n') + file.write(' // Looking through the reconstructed jet collection\n') + file.write(' for (MAuint32 i=0;i<event.rec()->jets().size();i++)\n') + file.write(' {\n') + file.write(' const RecJetFormat& jet = event.rec()->jets()[i];\n') + file.write(' cout << "----------------------------------" << endl;\n') + file.write(' cout << "Jet" << endl;\n') + file.write(' cout << "----------------------------------" << endl;\n') + file.write(' cout << "jet: index=" << i+1 \n') + file.write(' << " charge=" << jet.charge() << endl;\n') + file.write(' cout << "px=" << jet.px()\n') + file.write(' << " py=" << jet.py()\n') + file.write(' << " pz=" << jet.pz()\n') + file.write(' << " e=" << jet.e()\n') + file.write(' << " m=" << jet.m() << endl;\n') + file.write(' cout << "pt=" << jet.pt() \n') + file.write(' << " eta=" << jet.eta() \n') + file.write(' << " phi=" << jet.phi() << endl;\n') + file.write(' cout << "b-tag=" << jet.btag()\n') + file.write(' << " true b-tag (before eventual efficiency)=" \n') + file.write(' << jet.true_btag() << endl;\n') + file.write(' cout << "EE/HE=" << jet.EEoverHE()\n') + file.write(' << " ntracks=" << jet.ntracks() << endl;\n') + file.write(' cout << endl;\n') + file.write(' }\n') + file.write('\n') + file.write(' // Transverse missing energy (MET)\n') + file.write(' cout << "MET pt=" << event.rec()->MET().pt()\n') + file.write(' << " phi=" << event.rec()->MET().phi() << endl;\n') + file.write(' cout << endl;\n') + file.write('\n') + file.write(' // Transverse missing hadronic energy (MHT)\n') + file.write(' cout << "MHT pt=" << event.rec()->MHT().pt()\n') + file.write(' << " phi=" << event.rec()->MHT().phi() << endl;\n') + file.write(' cout << endl;\n') + file.write('\n') + file.write(' // Total transverse energy (TET)\n') + file.write(' cout << "TET=" << event.rec()->TET() << endl;\n') + file.write(' cout << endl;\n') + file.write('\n') + file.write(' // Total transverse hadronic energy (THT)\n') + file.write(' cout << "THT=" << event.rec()->THT() << endl;\n') + file.write(' cout << endl;\n') + file.write(' }\n') + file.write(' */\n') + file.write(' return true;\n') + file.write('}\n') + file.write('\n') + file.close() + + def UpdateMain(self,title): + if not os.path.isfile(self.currentdir + "/../Main/main.cpp"): + return; + else: + shutil.copy(self.currentdir + "/../Main/main.cpp", + self.currentdir + "/../Main/main.bak") + output = open(self.currentdir + "/../Main/main.cpp","w") + input = open(self.currentdir + "/../Main/main.bak") + IsExecuted=False + for line in input: + if "Getting pointer to the analyzer" in line: + output.write(line) + TheName = title.replace(' ','_'); + TheName = title.replace('-','_'); + output.write(" std::map<std::string, std::string> prm" + TheName + ";\n") + output.write(" AnalyzerBase* analyzer_" + TheName + "=\n") + output.write(" manager.InitializeAnalyzer(\"" + TheName + "\",\"" +\ + title + ".saf\",prm" + TheName + ");\n") + output.write(" if (analyzer_" + TheName + "==0) return 1;\n\n") + elif "Execute" in line and not IsExecuted: + IsExecuted = True + output.write(" if (!analyzer_" + TheName + "->Execute(mySample,myEvent)) continue;\n") + output.write(line) + else: + output.write(line) + + + +# Reading arguments +mute=False +if len(sys.argv)==3: + mute=True +elif len(sys.argv)!=2: + print(" Error: number of argument incorrect") + print(" Syntax: ./newAnalyzer.py name") + print(" with name the name of the analyzer") + sys.exit() + + +print(" A new class called '" + sys.argv[1] + "' will be created.") +if not mute: + print(" Please enter a title for your analyzer : ") + title=input(" Title : ") +else: + title=sys.argv[1] + +analyzer = AnalyzerManager(sys.argv[1],title) + +# Checking presence of required files +if not analyzer.CheckFilePresence(): + sys.exit() + +analyzer.UpdateMain(title) +analyzer.WriteHeader() +analyzer.WriteSource() + +# Adding analysis in analysisList.h +analyzer.AddAnalyzer() + +print(" Done !") + + + diff --git a/validation/outputs/lhe_histos_0/Build/setup.csh b/validation/outputs/lhe_histos_0/Build/setup.csh new file mode 100644 index 00000000..88b5bbff --- /dev/null +++ b/validation/outputs/lhe_histos_0/Build/setup.csh @@ -0,0 +1,41 @@ +#!/bin/csh -f + +# Defining colours for shell +set GREEN = "\033[1;32m" +set RED = "\033[1;31m" +set PINK = "\033[1;35m" +set BLUE = "\033[1;34m" +set YELLOW = "\033[1;33m" +set CYAN = "\033[1;36m" +set NORMAL = "\033[0;39m" + +# Configuring MA5 environment variable +setenv MA5_BASE /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5 + +# Configuring PATH environment variable +if ( $?PATH ) then +setenv PATH $MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Bin:/Applications/Root/bin:"$PATH" +else +setenv PATH $MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Bin:/Applications/Root/bin +endif + +# Configuring LD_LIBRARY_PATH environment variable +if ( $?LD_LIBRARY_PATH ) then +setenv LD_LIBRARY_PATH $MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib:"$LD_LIBRARY_PATH" +else +setenv LD_LIBRARY_PATH $MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib +endif + +# Configuring DYLD_LIBRARY_PATH environment variable +if ( $?DYLD_LIBRARY_PATH ) then +setenv DYLD_LIBRARY_PATH $MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib:"$DYLD_LIBRARY_PATH" +else +setenv DYLD_LIBRARY_PATH $MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib +endif + +# Checking that all environment variables are defined +if ( $?MA5_BASE && $?PATH && $?LD_LIBRARY_PATH && $?DYLD_LIBRARY_PATH ) then +echo $YELLOW"--------------------------------------------------------" +echo " Your environment is properly configured for MA5 " +echo "--------------------------------------------------------"$NORMAL +endif diff --git a/validation/outputs/lhe_histos_0/Build/setup.sh b/validation/outputs/lhe_histos_0/Build/setup.sh new file mode 100644 index 00000000..7f11edc4 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Build/setup.sh @@ -0,0 +1,41 @@ +#!/bin/sh + +# Defining colours for shell +GREEN="\\033[1;32m" +RED="\\033[1;31m" +PINK="\\033[1;35m" +BLUE="\\033[1;34m" +YELLOW="\\033[1;33m" +CYAN="\\033[1;36m" +NORMAL="\\033[0;39m" + +# Configuring MA5 environment variable +export MA5_BASE=/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5 + +# Configuring PATH environment variable +if [ $PATH ]; then +export PATH=$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Bin:/Applications/Root/bin:$PATH +else +export PATH=$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Bin:/Applications/Root/bin +fi + +# Configuring LD_LIBRARY_PATH environment variable +if [ $LD_LIBRARY_PATH ]; then +export LD_LIBRARY_PATH=$MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib:$LD_LIBRARY_PATH +else +export LD_LIBRARY_PATH=$MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib +fi + +# Configuring DYLD_LIBRARY_PATH environment variable +if [ $DYLD_LIBRARY_PATH ]; then +export DYLD_LIBRARY_PATH=$MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib:$DYLD_LIBRARY_PATH +else +export DYLD_LIBRARY_PATH=$MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib +fi + +# Checking that all environment variables are defined +if [[ $MA5_BASE && $PATH && $LD_LIBRARY_PATH && $DYLD_LIBRARY_PATH ]]; then +echo -e $YELLOW"--------------------------------------------------------" +echo -e " Your environment is properly configured for MA5 " +echo -e "--------------------------------------------------------"$NORMAL +fi diff --git a/validation/outputs/lhe_histos_0/Input/_testset.list b/validation/outputs/lhe_histos_0/Input/_testset.list new file mode 100644 index 00000000..9072f2fe --- /dev/null +++ b/validation/outputs/lhe_histos_0/Input/_testset.list @@ -0,0 +1 @@ +/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/samples/ttbar_sl_1.lhe.gz diff --git a/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/jheppub.sty b/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/jheppub.sty new file mode 100644 index 00000000..90b55d9f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/jheppub.sty @@ -0,0 +1,353 @@ +\NeedsTeXFormat{LaTeX2e} +\ProvidesPackage{jheppub}[2012/06/08 r448] + + +\gdef\@fpheader{} +\gdef\@journal{jhep} + +\RequirePackage{amsmath} +\RequirePackage{amssymb} +\RequirePackage{epsfig} +\RequirePackage{graphicx} 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the abstract on a +%very long first page +\newcommand\compress{% +\renewcommand\afterProceedingsSpace{\bigskip}% +\renewcommand\afterTitleSpace{\bigskip}% +\renewcommand\afterRuleSpace{\bigskip\bigskip} +\renewcommand\afterEmailSpace{\par\bigskip}} + +%authors and affiliations +\newtoks\auth@toks +\renewcommand{\author}[2][]{% + \if!#1!% + \auth@toks=\expandafter{\the\auth@toks#2\ }% + \else + \auth@toks=\expandafter{\the\auth@toks#2$^{#1}$\ }% + \fi +} + +\newtoks\affil@toks\newif\ifaffil\affilfalse +\newcommand{\affiliation}[2][]{% +\affiltrue + \if!#1!% + \affil@toks=\expandafter{\the\affil@toks{\item[]#2}}% + \else + \affil@toks=\expandafter{\the\affil@toks{\item[$^{#1}$]#2}}% + \fi +} + +%emails +%automatically put a comma between emails +\newtoks\email@toks\newcounter{email@counter}% +\setcounter{email@counter}{0}% +\newcommand{\emailAdd}[1]{% +\emailaddtrue% +\ifnum\theemail@counter>0\email@toks=\expandafter{\the\email@toks, \@email{#1}}% +\else\email@toks=\expandafter{\the\email@toks\@email{#1}}% +\fi\stepcounter{email@counter}} +\newcommand{\@email}[1]{\href{mailto:#1}{\tt #1}} + + +% Collaboration macros +\newcommand*\collaboration[1]{\gdef\@collaboration{#1}} +\newcommand*\collaborationImg[2][]{\gdef\@collaborationImg{#2}} + +%all pieces get a ``after'' spacing +\newcommand\afterLogoSpace{\smallskip} +\newcommand\afterSubheaderSpace{\vskip3pt plus 2pt minus 1pt} +\newcommand\afterProceedingsSpace{\vskip21pt plus0.4fil minus15pt} +\newcommand\afterTitleSpace{\vskip23pt plus0.06fil minus13pt} +\newcommand\afterRuleSpace{\vskip23pt plus0.06fil minus13pt} +\newcommand\afterCollaborationSpace{\vskip3pt plus 2pt minus 1pt} +\newcommand\afterCollaborationImgSpace{\vskip3pt plus 2pt minus 1pt} +\newcommand\afterAuthorSpace{\vskip5pt plus4pt minus4pt} +\newcommand\afterAffiliationSpace{\vskip3pt plus3pt} +\newcommand\afterEmailSpace{\vskip16pt plus9pt minus10pt\filbreak} +\newcommand\afterXtumSpace{\par\bigskip} 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+\title{{\includegraphics[scale=.4]{logo.eps}}\ The LaTeX report} + +\author{Generated by fuks on 01 April 2026, 23:53:44} + +\abstract{ + This report has been generated automatically + by {\sc MadAnalysis} 5.\\$~$\\ + Please cite:\\ + \begin{quote} + \textbf{E.~Conte, B.~Fuks and G.~Serret},\\ + \textit{MadAnalysis 5, A User-Friendly + Framework for Collider Phenomenology},\\ + Comput. Phys. Commun. {\bf 184} (2013) 222-256,\\ + arXiv:1206.1599 [hep-ph].\\ + \end{quote} + To contact us:\\ + \begin{quote} + \textbf{http://madanalysis.irmp.ucl.ac.be}\\ + \textbf{ma5team@iphc.cnrs.fr}\\ + \end{quote} +} + +% ----------------------------------------------------------------------------- +% BEGIN DOCUMENT +% ----------------------------------------------------------------------------- +\begin{document} +\maketitle +\flushbottom + +% ----------------------------------------------------------------------------- +% SECTION Setup +% ----------------------------------------------------------------------------- +\newpage +\section{ Setup} + +\subsection{ Command history} + +\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>import samples/\-ttbar\_sl\_1.lhe.gz as testset\\ +} +\texttt{ }\texttt{ }\texttt{ma5>set main.normalize = none\\ +} +\texttt{ }\texttt{ }\texttt{ma5>set main.lumi = 1.0\\ +} +\texttt{ }\texttt{ }\texttt{ma5>define e = e+ e-\\ +} +\texttt{ }\texttt{ }\texttt{ma5>define mu = mu+ mu-\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot SQRTS 50 0 5000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot SCALE 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ALPHA\_QCD 50 0 0.3\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ALPHA\_QED 50 0 0.02\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot TET 50 0 5000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot THT 50 0 5000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MET 50 0 1500\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MHT 50 0 1500\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot NPID\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot NAPID\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot WEIGHTS\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(e) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(e) 50 0 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(e) 32 -3.2 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(e) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ET(e) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e) 50 0 20\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT(e) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(e) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot P(e) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PX(e) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PY(e) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PZ(e) 50 -2000 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot R(e) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot Y(e) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot BETA(e) 50 0 1.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(e) 50 1 100\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(e[1]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(e[1]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(e[1]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(e[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(e[2]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(e[2]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(e[2]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(e[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e[1] e[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[1] e[2]) 50 0 1500 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e[1],e[2]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(e[1],e[2]) 32 0 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(e[1],e[2]) 32 0 6.4 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(mu) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(mu) 50 0 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(mu) 32 -3.2 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(mu) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ET(mu) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(mu) 50 0 20\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT(mu) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(mu) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot P(mu) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PX(mu) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PY(mu) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PZ(mu) 50 -2000 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot R(mu) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot Y(mu) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot BETA(mu) 50 0 1.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(mu) 50 1 100\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(mu[1]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(mu[1]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(mu[1]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(mu[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(mu[2]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(mu[2]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(mu[2]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(mu[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(mu[1] mu[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu[1] mu[2]) 50 0 1500 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu[1],mu[2]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(mu[1],mu[2]) 32 0 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(mu[1],mu[2]) 32 0 6.4 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(b) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(b) 50 0 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(b) 32 -3.2 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(b) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ET(b) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(b) 50 0 50\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT(b) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(b) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot P(b) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PX(b) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PY(b) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PZ(b) 50 -2000 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot R(b) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot Y(b) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot BETA(b) 50 0 1.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(b) 50 1 100\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(b[1]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(b[1]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(b[1]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(b[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(b[2]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(b[2]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(b[2]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(b[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(b[1] b[2]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[1] b[2]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b[1],b[2]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(b[1],b[2]) 32 0 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(b[1],b[2]) 32 0 6.4 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(j) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(j) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(j) 50 0 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(j) 32 -3.2 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(j) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ET(j) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(j) 50 0 200\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT(j) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(j) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot P(j) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PX(j) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PY(j) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PZ(j) 50 -2000 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot R(j) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot Y(j) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot BETA(j) 50 0 1.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(j) 50 1 100\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(j[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(j[1]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(j[1]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(j[1]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(j[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(j[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(j[2]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(j[2]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(j[2]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(j[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(j[1] j[2]) 50 0 3000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(j[1] j[2]) 50 0 3000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(j[1],j[2]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(j[1],j[2]) 32 0 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(j[1],j[2]) 32 0 6.4 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e,e) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(e,e) 32 0 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(e,e) 32 0 6.4\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e e) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e e) 50 0 1500\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu,mu) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(mu,mu) 32 0 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(mu,mu) 32 0 6.4\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(mu mu) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu mu) 50 0 1500\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b,b) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(b,b) 32 0 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(b,b) 32 0 6.4\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(b b) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b b) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(j,j) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(j,j) 32 0 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(j,j) 32 0 6.4\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(j j) 50 0 3000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(j j) 50 0 3000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e,mu) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e,j) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu,j) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b,j) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e mu) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e j) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(mu j) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(b j) 50 0 3000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e mu) 50 0 1500\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b j) 50 0 3000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e[1],mu[1]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e[1],j[1]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu[1],j[1]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b[1],j[1]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e[1] mu[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e[1] j[1]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(mu[1] j[1]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(b[1] j[1]) 50 0 3000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[1] mu[1]) 50 0 1500 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[1] j[1]) 50 0 3000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>submit\\ +} +\texttt{ }\texttt{ }\subsection{ Configuration} + +\begin{itemize} + \item MadAnalysis version 1.11.0 (2025/\-04/\-23). + \item Histograms are not scaled. + +\end{itemize} +% ----------------------------------------------------------------------------- +% SECTION Datasets +% ----------------------------------------------------------------------------- +\newpage +\section{ Datasets} + +\subsection{ testset} + +\begin{itemize} + \item Sample consisting of: \textcolor{blue}{signal} events. + \item Generated events: \textcolor{blue}{1000 } events. + \item Normalization to the luminosity: \textcolor{blue}{15447}\textcolor{blue}{ +/\-- }\textcolor{blue}{114 } events. + \item\textcolor{red}{Ratio (event weight): }\textcolor{red}{15 }\textcolor{red}{ - warning: please generate more events (weight larger than 1)!} +\textcolor{red}{} +\end{itemize} +\begin{table}[H] + \begin{center} + \begin{tabular}{|m{55.0mm}|m{25.0mm}|m{30.0mm}|m{30.0mm}|} + \hline + {\cellcolor{yellow} Path to the event file}& {\cellcolor{yellow} Nr. of events}& {\cellcolor{yellow} Cross section (pb)}& {\cellcolor{yellow} Negative wgts (\%)}\\ + \hline + {\cellcolor{white} samples/\-ttbar\_sl\_1.lhe.gz}& {\cellcolor{white} 1000}& {\cellcolor{white} 15.4 @ 0.74\%}& {\cellcolor{white} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +% ----------------------------------------------------------------------------- +% SECTION Histos and cuts +% ----------------------------------------------------------------------------- +\newpage +\section{ Histos and cuts} + +\subsection{ Histogram 1} + +\textbf{* Plot: SQRTS}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 489.445}& {\cellcolor{white} 124.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_0.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 2} + +\textbf{* Plot: SCALE}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 214.211}& {\cellcolor{white} 45.19}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_1.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 3} + +\textbf{* Plot: ALPHA\_QCD}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.114843}& {\cellcolor{white} 0.002765}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_2.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 4} + +\textbf{* Plot: ALPHA\_QED}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0795775}& {\cellcolor{white} 4.683e-05}& {\cellcolor{red} 0.0}& {\cellcolor{red} 100.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_3.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 5} + +\textbf{* Plot: TET}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 308.078}& {\cellcolor{white} 93.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_4.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 6} + +\textbf{* Plot: THT}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 258.83}& {\cellcolor{white} 79.71}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_5.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 7} + +\textbf{* Plot: MET}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 58.7171}& {\cellcolor{white} 37.97}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_6.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 8} + +\textbf{* Plot: MHT}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.1686}& {\cellcolor{white} 52.75}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_7.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 9} + +\textbf{* Plot: NPID}\\ + \begin{table}[H] + \begin{center} + \caption{ Statistics table} + \begin{tabular}{|m{40.0mm}|m{64.0mm}|m{36.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries /\- events}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 92.7}& {\cellcolor{white} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_8.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 10} + +\textbf{* Plot: NAPID}\\ + \begin{table}[H] + \begin{center} + \caption{ Statistics table} + \begin{tabular}{|m{40.0mm}|m{64.0mm}|m{36.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries /\- events}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 92.7}& {\cellcolor{white} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_9.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 11} + +\textbf{* Plot: WEIGHTS}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0154478}& {\cellcolor{white} 1.051e-05}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_10.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 12} + +\textbf{* Plot: PT ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 49.9595}& {\cellcolor{white} 38.03}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_11.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 13} + +\textbf{* Plot: ETA ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0509938}& {\cellcolor{white} 1.152}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_12.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 14} + +\textbf{* Plot: ABSETA ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.946635}& {\cellcolor{white} 0.6582}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_13.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 15} + +\textbf{* Plot: PHI ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0207825}& {\cellcolor{white} 1.754}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_14.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 16} + +\textbf{* Plot: E ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.8171}& {\cellcolor{white} 77.33}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_15.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 17} + +\textbf{* Plot: ET ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 49.9595}& {\cellcolor{white} 38.03}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_16.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 18} + +\textbf{* Plot: M ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.44661e-06}& {\cellcolor{white} 0.0005939}& {\cellcolor{red} 51.58}& {\cellcolor{red} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_17.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 19} + +\textbf{* Plot: MT ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.000106287}& {\cellcolor{white} 0.0001899}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_18.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 20} + +\textbf{* Plot: MT\_MET ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 58.4921}& {\cellcolor{white} 22.25}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_19.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 21} + +\textbf{* Plot: P ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.8171}& {\cellcolor{white} 77.33}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_20.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 22} + +\textbf{* Plot: PX ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.09172}& {\cellcolor{white} 43.07}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_21.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 23} + +\textbf{* Plot: PY ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.615749}& {\cellcolor{white} 45.63}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_22.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 24} + +\textbf{* Plot: PZ ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 7.00982}& {\cellcolor{white} 98.49}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_23.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 25} + +\textbf{* Plot: R ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.93047}& {\cellcolor{white} 0.8241}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_24.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 26} + +\textbf{* Plot: Y ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0509938}& {\cellcolor{white} 1.152}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_25.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 27} + +\textbf{* Plot: BETA ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_26.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 28} + +\textbf{* Plot: GAMMA ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} nan}& {\cellcolor{white} nan}& {\cellcolor{red} 0.0}& {\cellcolor{red} 48.42}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_27.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 29} + +\textbf{* Plot: PT ( e[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 49.9595}& {\cellcolor{white} 38.03}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_28.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 30} + +\textbf{* Plot: ETA ( e[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0509938}& {\cellcolor{white} 1.152}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_29.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 31} + +\textbf{* Plot: PHI ( e[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0207825}& {\cellcolor{white} 1.754}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_30.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 32} + +\textbf{* Plot: E ( e[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.8171}& {\cellcolor{white} 77.33}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_31.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 33} + +\textbf{* Plot: MT\_MET ( e[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 58.4921}& {\cellcolor{white} 22.25}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_32.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 34} + +\textbf{* Plot: PT ( e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_33.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 35} + +\textbf{* Plot: ETA ( e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_34.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 36} + +\textbf{* Plot: PHI ( e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_35.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 37} + +\textbf{* Plot: E ( e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_36.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 38} + +\textbf{* Plot: MT\_MET ( e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_37.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 39} + +\textbf{* Plot: M ( e[1] e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_38.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 40} + +\textbf{* Plot: PT ( e[1] e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_39.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 41} + +\textbf{* Plot: DELTAR ( e[1] , e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_40.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 42} + +\textbf{* Plot: DPHI\_0\_PI ( e[1] , e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_41.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 43} + +\textbf{* Plot: DPHI\_0\_2PI ( e[1] , e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_42.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 44} + +\textbf{* Plot: PT ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 48.5205}& {\cellcolor{white} 33.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_43.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 45} + +\textbf{* Plot: ETA ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0359047}& {\cellcolor{white} 1.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_44.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 46} + +\textbf{* Plot: ABSETA ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.938579}& {\cellcolor{white} 0.6297}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_45.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 47} + +\textbf{* Plot: PHI ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.0970943}& {\cellcolor{white} 1.804}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_46.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 48} + +\textbf{* Plot: E ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.6679}& {\cellcolor{white} 68.85}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_47.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 49} + +\textbf{* Plot: ET ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 48.5205}& {\cellcolor{white} 33.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_48.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 50} + +\textbf{* Plot: M ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 5.6886e-06}& {\cellcolor{white} 0.0005586}& {\cellcolor{red} 47.57}& {\cellcolor{red} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_49.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 51} + +\textbf{* Plot: MT ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.000106791}& {\cellcolor{white} 0.0001948}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_50.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 52} + +\textbf{* Plot: MT\_MET ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 59.2324}& {\cellcolor{white} 21.72}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_51.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 53} + +\textbf{* Plot: P ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.6679}& {\cellcolor{white} 68.85}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_52.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 54} + +\textbf{* Plot: PX ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.91001}& {\cellcolor{white} 42.25}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_53.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 55} + +\textbf{* Plot: PY ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.97706}& {\cellcolor{white} 40.74}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_54.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 56} + +\textbf{* Plot: PZ ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.0695523}& {\cellcolor{white} 91.06}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_55.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 57} + +\textbf{* Plot: R ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.9459}& {\cellcolor{white} 0.8686}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_56.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 58} + +\textbf{* Plot: Y ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0359047}& {\cellcolor{white} 1.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_57.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 59} + +\textbf{* Plot: BETA ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_58.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 60} + +\textbf{* Plot: GAMMA ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} nan}& {\cellcolor{white} nan}& {\cellcolor{red} 0.0}& {\cellcolor{red} 52.43}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_59.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 61} + +\textbf{* Plot: PT ( mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 48.5205}& {\cellcolor{white} 33.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_60.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 62} + +\textbf{* Plot: ETA ( mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0359047}& {\cellcolor{white} 1.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_61.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 63} + +\textbf{* Plot: PHI ( mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.0970943}& {\cellcolor{white} 1.804}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_62.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 64} + +\textbf{* Plot: E ( mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.6679}& {\cellcolor{white} 68.85}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_63.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 65} + +\textbf{* Plot: MT\_MET ( mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 59.2324}& {\cellcolor{white} 21.72}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_64.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 66} + +\textbf{* Plot: PT ( mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_65.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 67} + +\textbf{* Plot: ETA ( mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_66.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 68} + +\textbf{* Plot: PHI ( mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_67.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 69} + +\textbf{* Plot: E ( mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_68.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 70} + +\textbf{* Plot: MT\_MET ( mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_69.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 71} + +\textbf{* Plot: M ( mu[1] mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_70.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 72} + +\textbf{* Plot: PT ( mu[1] mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_71.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 73} + +\textbf{* Plot: DELTAR ( mu[1] , mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_72.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 74} + +\textbf{* Plot: DPHI\_0\_PI ( mu[1] , mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_73.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 75} + +\textbf{* Plot: DPHI\_0\_2PI ( mu[1] , mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_74.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 76} + +\textbf{* Plot: PT ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 72.2733}& {\cellcolor{white} 38.02}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_75.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 77} + +\textbf{* Plot: ETA ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.048521}& {\cellcolor{white} 1.264}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_76.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 78} + +\textbf{* Plot: ABSETA ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.02001}& {\cellcolor{white} 0.7485}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_77.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 79} + +\textbf{* Plot: PHI ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0257839}& {\cellcolor{white} 1.82}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_78.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 80} + +\textbf{* Plot: E ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 139.461}& {\cellcolor{white} 106.8}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_79.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 81} + +\textbf{* Plot: ET ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 72.3671}& {\cellcolor{white} 37.99}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_80.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 82} + +\textbf{* Plot: M ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 4.7}& {\cellcolor{white} 0.001892}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_81.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 83} + +\textbf{* Plot: MT ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 3.10162}& {\cellcolor{white} 1.297}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_82.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 84} + +\textbf{* Plot: MT\_MET ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.6682}& {\cellcolor{white} 54.39}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_83.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 85} + +\textbf{* Plot: P ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 139.338}& {\cellcolor{white} 106.9}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_84.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 86} + +\textbf{* Plot: PX ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} -1.79812}& {\cellcolor{white} 56.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_85.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 87} + +\textbf{* Plot: PY ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.05422}& {\cellcolor{white} 58.87}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_86.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 88} + +\textbf{* Plot: PZ ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.7842}& {\cellcolor{white} 155.5}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_87.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 89} + +\textbf{* Plot: R ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.03579}& {\cellcolor{white} 0.878}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_88.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 90} + +\textbf{* Plot: Y ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0482562}& {\cellcolor{white} 1.261}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_89.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 91} + +\textbf{* Plot: BETA ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.998042}& {\cellcolor{white} 0.002796}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_90.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 92} + +\textbf{* Plot: GAMMA ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 29.6726}& {\cellcolor{white} 22.73}& {\cellcolor{green} 0.0}& {\cellcolor{green} 2.3}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_91.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 93} + +\textbf{* Plot: PT ( b[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 72.2733}& {\cellcolor{white} 38.02}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_92.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 94} + +\textbf{* Plot: ETA ( b[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.048521}& {\cellcolor{white} 1.264}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_93.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 95} + +\textbf{* Plot: PHI ( b[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0257839}& {\cellcolor{white} 1.82}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_94.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 96} + +\textbf{* Plot: E ( b[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 139.461}& {\cellcolor{white} 106.8}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_95.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 97} + +\textbf{* Plot: MT\_MET ( b[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.6682}& {\cellcolor{white} 54.39}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_96.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 98} + +\textbf{* Plot: PT ( b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_97.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 99} + +\textbf{* Plot: ETA ( b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_98.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 100} + +\textbf{* Plot: PHI ( b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_99.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 101} + +\textbf{* Plot: E ( b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_100.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 102} + +\textbf{* Plot: MT\_MET ( b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_101.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 103} + +\textbf{* Plot: M ( b[1] b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_102.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 104} + +\textbf{* Plot: PT ( b[1] b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_103.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 105} + +\textbf{* Plot: DELTAR ( b[1] , b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_104.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 106} + +\textbf{* Plot: DPHI\_0\_PI ( b[1] , b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_105.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 107} + +\textbf{* Plot: DPHI\_0\_2PI ( b[1] , b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_106.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 108} + +\textbf{* Plot: PT ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 56.3608}& {\cellcolor{white} 32.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_107.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 109} + +\textbf{* Plot: ETA ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.0219264}& {\cellcolor{white} 1.2}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_108.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 110} + +\textbf{* Plot: ABSETA ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.971377}& {\cellcolor{white} 0.7051}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_109.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 111} + +\textbf{* Plot: PHI ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.0781512}& {\cellcolor{white} 1.851}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_110.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 112} + +\textbf{* Plot: E ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 104.57}& {\cellcolor{white} 85.46}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_111.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 113} + +\textbf{* Plot: ET ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 56.3608}& {\cellcolor{white} 32.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_112.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 114} + +\textbf{* Plot: M ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} -1.3327e-05}& {\cellcolor{white} 0.0006733}& {\cellcolor{red} 50.9}& {\cellcolor{red} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_113.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 115} + +\textbf{* Plot: MT ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.000121728}& {\cellcolor{white} 0.0002075}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_114.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 116} + +\textbf{* Plot: MT\_MET ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 82.308}& {\cellcolor{white} 60.37}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_115.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 117} + +\textbf{* Plot: P ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 104.57}& {\cellcolor{white} 85.46}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_116.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 118} + +\textbf{* Plot: PX ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} -2.36396}& {\cellcolor{white} 45.86}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_117.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 119} + +\textbf{* Plot: PY ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.06079}& {\cellcolor{white} 46.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_118.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 120} + +\textbf{* Plot: PZ ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 4.14477}& {\cellcolor{white} 118.3}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_119.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 121} + +\textbf{* Plot: R ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.036}& {\cellcolor{white} 0.8521}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_120.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 122} + +\textbf{* Plot: Y ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.0219264}& {\cellcolor{white} 1.2}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_121.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 123} + +\textbf{* Plot: BETA ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_122.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 124} + +\textbf{* Plot: GAMMA ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} nan}& {\cellcolor{white} nan}& {\cellcolor{red} 0.0}& {\cellcolor{red} 49.1}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_123.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 125} + +\textbf{* Plot: PT ( j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 74.0942}& {\cellcolor{white} 34.32}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_124.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 126} + +\textbf{* Plot: ETA ( j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0200712}& {\cellcolor{white} 1.117}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_125.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 127} + +\textbf{* Plot: PHI ( j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0625323}& {\cellcolor{white} 1.856}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_126.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 128} + +\textbf{* Plot: E ( j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 129.519}& {\cellcolor{white} 93.36}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_127.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 129} + +\textbf{* Plot: MT\_MET ( j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 98.7583}& {\cellcolor{white} 67.56}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_128.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 130} + +\textbf{* Plot: PT ( j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 38.6273}& {\cellcolor{white} 17.75}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_129.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 131} + +\textbf{* Plot: ETA ( j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0237817}& {\cellcolor{white} 1.278}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_130.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 132} + +\textbf{* Plot: PHI ( j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0937701}& {\cellcolor{white} 1.845}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_131.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 133} + +\textbf{* Plot: E ( j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 79.6223}& {\cellcolor{white} 68.15}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_132.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 134} + +\textbf{* Plot: MT\_MET ( j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 65.8576}& {\cellcolor{white} 46.73}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_133.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 135} + +\textbf{* Plot: M ( j[1] j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 80.3339}& {\cellcolor{white} 4.323}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_134.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 136} + +\textbf{* Plot: PT ( j[1] j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 86.6463}& {\cellcolor{white} 54.96}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_135.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 137} + +\textbf{* Plot: DELTAR ( j[1] , j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.90737}& {\cellcolor{white} 0.6749}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_136.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 138} + +\textbf{* Plot: DPHI\_0\_PI ( j[1] , j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.55671}& {\cellcolor{white} 0.809}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_137.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 139} + +\textbf{* Plot: DPHI\_0\_2PI ( j[1] , j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 3.02239}& {\cellcolor{white} 1.775}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_138.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 140} + +\textbf{* Plot: DELTAR ( e , e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_139.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 141} + +\textbf{* Plot: DPHI\_0\_PI ( e , e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_140.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 142} + +\textbf{* Plot: DPHI\_0\_2PI ( e , e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_141.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 143} + +\textbf{* Plot: M ( e e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_142.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 144} + +\textbf{* Plot: PT ( e e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_143.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 145} + +\textbf{* Plot: DELTAR ( mu , mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_144.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 146} + +\textbf{* Plot: DPHI\_0\_PI ( mu , mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_145.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 147} + +\textbf{* Plot: DPHI\_0\_2PI ( mu , mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_146.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 148} + +\textbf{* Plot: M ( mu mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_147.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 149} + +\textbf{* Plot: PT ( mu mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_148.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 150} + +\textbf{* Plot: DELTAR ( b , b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_149.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 151} + +\textbf{* Plot: DPHI\_0\_PI ( b , b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_150.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 152} + +\textbf{* Plot: DPHI\_0\_2PI ( b , b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_151.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 153} + +\textbf{* Plot: M ( b b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_152.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 154} + +\textbf{* Plot: PT ( b b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_153.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 155} + +\textbf{* Plot: DELTAR ( j , j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.90737}& {\cellcolor{white} 0.6749}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_154.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 156} + +\textbf{* Plot: DPHI\_0\_PI ( j , j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.55671}& {\cellcolor{white} 0.809}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_155.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 157} + +\textbf{* Plot: DPHI\_0\_2PI ( j , j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 3.14159}& {\cellcolor{white} 1.779}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_156.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 158} + +\textbf{* Plot: M ( j j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 80.3339}& {\cellcolor{white} 4.323}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_157.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 159} + +\textbf{* Plot: PT ( j j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 86.6463}& {\cellcolor{white} 54.96}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_158.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 160} + +\textbf{* Plot: DELTAR ( e , mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_159.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 161} + +\textbf{* Plot: DELTAR ( e , j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.6}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.3081}& {\cellcolor{white} 0.8766}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_160.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 162} + +\textbf{* Plot: DELTAR ( mu , j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.3}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.25996}& {\cellcolor{white} 0.8857}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_161.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 163} + +\textbf{* Plot: DELTAR ( b , j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.25698}& {\cellcolor{white} 0.8185}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_162.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 164} + +\textbf{* Plot: M ( e mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_163.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 165} + +\textbf{* Plot: M ( e j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.6}& {\cellcolor{white} 2.0}& {\cellcolor{white} 106.004}& {\cellcolor{white} 73.86}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_164.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 166} + +\textbf{* Plot: M ( j mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.3}& {\cellcolor{white} 2.0}& {\cellcolor{white} 101.989}& {\cellcolor{white} 66.26}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_165.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 167} + +\textbf{* Plot: M ( b j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 120.153}& {\cellcolor{white} 62.93}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_166.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 168} + +\textbf{* Plot: PT ( e mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_167.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 169} + +\textbf{* Plot: PT ( b j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 80.8933}& {\cellcolor{white} 46.34}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_168.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 170} + +\textbf{* Plot: DELTAR ( e[1] , mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_169.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 171} + +\textbf{* Plot: DELTAR ( e[1] , j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.34591}& {\cellcolor{white} 0.8529}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_170.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 172} + +\textbf{* Plot: DELTAR ( mu[1] , j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.32408}& {\cellcolor{white} 0.8288}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_171.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 173} + +\textbf{* Plot: DELTAR ( b[1] , j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.26008}& {\cellcolor{white} 0.798}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_172.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 174} + +\textbf{* Plot: M ( e[1] mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_173.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 175} + +\textbf{* Plot: M ( e[1] j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 123.783}& {\cellcolor{white} 81.94}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_174.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 176} + +\textbf{* Plot: M ( j[1] mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 117.989}& {\cellcolor{white} 70.7}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_175.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 177} + +\textbf{* Plot: M ( b[1] j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 137.213}& {\cellcolor{white} 66.95}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_176.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 178} + +\textbf{* Plot: PT ( e[1] mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_177.eps}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 179} + +\textbf{* Plot: PT ( b[1] j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.1047}& {\cellcolor{white} 50.81}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_178.eps}\\ +\caption{ } + \end{center} +\end{figure} + \end{document} diff --git a/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/main.toc b/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/main.toc new file mode 100644 index 00000000..373c135c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/main.toc @@ -0,0 +1,185 @@ +\contentsline {section}{\numberline {1} Setup}{2}{section.1}% +\contentsline {subsection}{\numberline {1.1} Command history}{2}{subsection.1.1}% +\contentsline {subsection}{\numberline {1.2} Configuration}{6}{subsection.1.2}% +\contentsline {section}{\numberline {2} Datasets}{7}{section.2}% +\contentsline {subsection}{\numberline {2.1} testset}{7}{subsection.2.1}% +\contentsline {section}{\numberline {3} Histos and cuts}{8}{section.3}% +\contentsline {subsection}{\numberline {3.1} Histogram 1}{8}{subsection.3.1}% +\contentsline {subsection}{\numberline {3.2} Histogram 2}{9}{subsection.3.2}% +\contentsline {subsection}{\numberline {3.3} Histogram 3}{10}{subsection.3.3}% +\contentsline {subsection}{\numberline {3.4} Histogram 4}{11}{subsection.3.4}% +\contentsline {subsection}{\numberline {3.5} Histogram 5}{12}{subsection.3.5}% +\contentsline {subsection}{\numberline {3.6} Histogram 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/Palatino-Bold + /Palatino-BoldItalic /Palatino-Italic /Palatino-Roman ] {ISOLatin1Encoding reEncode } forall +%%EndProlog +%%BeginSetup +%%EndSetup +newpath gsave .25 .25 scale gsave 0 0 t black[ ] 0 sd 3 lw 1 1 1 c 2268 1538 0 0 bf black 1 1 1 c 1837 1230 317 231 bf black 1837 1230 317 231 bl 1 1 1 c 1837 1230 317 231 bf black 1837 1230 317 231 bl 0 0 0.6 c 1 1 1 c black 0 0 0.6 c 317 231 m + 1837 X s black 317 231 m 1837 X s 375 268 m -37 Y s 432 249 m -18 Y s 490 249 m -18 Y s 547 249 m -18 Y s 604 249 m -18 Y s 662 268 m -37 Y s 719 249 m -18 Y s 777 249 m -18 Y s 834 249 m -18 Y s 891 249 m -18 Y s 949 268 m -37 Y s 1006 249 m -18 Y + s 1064 249 m -18 Y s 1121 249 m -18 Y s 1179 249 m -18 Y s 1236 268 m -37 Y s 1293 249 m -18 Y s 1351 249 m -18 Y s 1408 249 m -18 Y s 1466 249 m -18 Y s 1523 268 m -37 Y s 1580 249 m -18 Y s 1638 249 m -18 Y s 1695 249 m -18 Y s 1753 249 m -18 Y s + 1810 268 m -37 Y s 1867 249 m -18 Y s 1925 249 m -18 Y s 1982 249 m -18 Y s 2040 249 m -18 Y s 2097 268 m -37 Y s 375 268 m -37 Y s 317 249 m -18 Y s 2097 268 m -37 Y s 2154 249 m -18 Y s + gsave 2268 1538 0 0 C 371.436 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (3) show NC gr + gsave 2268 1538 0 0 C 342.112 175.944 t 0 r /Symbol findfont 58.6478 sf 0 0 m (-) show NC gr + gsave 2268 1538 0 0 C 658.159 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (2) show NC gr + gsave 2268 1538 0 0 C 628.835 175.944 t 0 r /Symbol findfont 58.6478 sf 0 0 m (-) show NC gr + gsave 2268 1538 0 0 C 951.398 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (1) show NC gr + gsave 2268 1538 0 0 C 918.816 175.944 t 0 r /Symbol findfont 58.6478 sf 0 0 m (-) show NC gr + gsave 2268 1538 0 0 C 1218.57 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0) show NC gr + gsave 2268 1538 0 0 C 1508.55 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (1) show NC gr + gsave 2268 1538 0 0 C 1792.02 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (2) show NC gr + gsave 2268 1538 0 0 C 2078.74 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (3) show NC gr + gsave 2268 1538 0 0 C 2062.45 74.9389 t 0 r /Times-Bold findfont 84.7136 sf 0 0 m ( ] ) show NC gr + gsave 2268 1538 0 0 C 2033.13 32.5821 t 0 r /Times-Bold findfont 58.6478 sf 0 0 m (2) show NC gr + gsave 2268 1538 0 0 C 1915.83 74.9389 t 0 r /Times-Bold findfont 84.7136 sf 0 0 m ( [ b) show NC gr + gsave 2268 1538 0 0 C 1873.47 74.9389 t 0 r /Symbol findfont 84.7136 sf 0 0 m (f) show NC gr 317 1461 m 1837 X s 375 1424 m 37 Y s 432 1442 m 19 Y s 490 1442 m 19 Y s 547 1442 m 19 Y s 604 1442 m 19 Y s 662 1424 m 37 Y s 719 1442 m 19 Y s 777 1442 + m 19 Y s 834 1442 m 19 Y s 891 1442 m 19 Y s 949 1424 m 37 Y s 1006 1442 m 19 Y s 1064 1442 m 19 Y s 1121 1442 m 19 Y s 1179 1442 m 19 Y s 1236 1424 m 37 Y s 1293 1442 m 19 Y s 1351 1442 m 19 Y s 1408 1442 m 19 Y s 1466 1442 m 19 Y s 1523 1424 m 37 + Y s 1580 1442 m 19 Y s 1638 1442 m 19 Y s 1695 1442 m 19 Y s 1753 1442 m 19 Y s 1810 1424 m 37 Y s 1867 1442 m 19 Y s 1925 1442 m 19 Y s 1982 1442 m 19 Y s 2040 1442 m 19 Y s 2097 1424 m 37 Y s 375 1424 m 37 Y s 317 1442 m 19 Y s 2097 1424 m 37 Y s + 2154 1442 m 19 Y s 317 231 m 1230 Y s 372 231 m -55 X s 345 255 m -28 X s 345 280 m -28 X s 345 304 m -28 X s 345 329 m -28 X s 372 354 m -55 X s 345 378 m -28 X s 345 403 m -28 X s 345 428 m -28 X s 345 452 m -28 X s 372 477 m -55 X s 345 501 m -28 + X s 345 526 m -28 X s 345 551 m -28 X s 345 575 m -28 X s 372 600 m -55 X s 345 624 m -28 X s 345 649 m -28 X s 345 674 m -28 X s 345 698 m -28 X s 372 723 m -55 X s 345 747 m -28 X s 345 772 m -28 X s 345 797 m -28 X s 345 821 m -28 X s 372 846 m + -55 X s 345 870 m -28 X s 345 895 m -28 X s 345 920 m -28 X s 345 944 m -28 X s 372 969 m -55 X s 345 993 m -28 X s 345 1018 m -28 X s 345 1043 m -28 X s 345 1067 m -28 X s 372 1092 m -55 X s 345 1116 m -28 X s 345 1141 m -28 X s 345 1166 m -28 X s + 345 1190 m -28 X s 372 1215 m -55 X s 345 1240 m -28 X s 345 1264 m -28 X s 345 1289 m -28 X s 345 1313 m -28 X s 372 1338 m -55 X s 345 1363 m -28 X s 345 1387 m -28 X s 345 1412 m -28 X s 345 1436 m -28 X s 372 1461 m -55 X s + gsave 2268 1538 0 0 C 270.432 208.526 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0) show NC gr + gsave 2268 1538 0 0 C 231.333 332.338 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0.1) show NC gr + gsave 2268 1538 0 0 C 221.559 456.15 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0.2) show NC gr + gsave 2268 1538 0 0 C 221.559 579.962 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0.3) show NC gr + gsave 2268 1538 0 0 C 221.559 700.516 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0.4) show NC gr + gsave 2268 1538 0 0 C 221.559 824.328 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0.5) show NC gr + gsave 2268 1538 0 0 C 221.559 948.14 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0.6) show NC gr + gsave 2268 1538 0 0 C 221.559 1071.95 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0.7) show NC gr + gsave 2268 1538 0 0 C 221.559 1192.51 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0.8) show NC gr + gsave 2268 1538 0 0 C 221.559 1316.32 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0.9) show NC gr + gsave 2268 1538 0 0 C 280.206 1440.13 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (1) show NC gr + gsave 2268 1538 0 0 C 120.554 573.446 t 90 r /Times-Bold findfont 84.7136 sf 0 0 m (Events \(not normalized\)) show NC gr 2154 231 m 1230 Y s 2100 231 m 54 X s 2127 255 m 27 X s 2127 280 m 27 X s 2127 304 m 27 X s 2127 329 m 27 X s 2100 354 m 54 + X s 2127 378 m 27 X s 2127 403 m 27 X s 2127 428 m 27 X s 2127 452 m 27 X s 2100 477 m 54 X s 2127 501 m 27 X s 2127 526 m 27 X s 2127 551 m 27 X s 2127 575 m 27 X s 2100 600 m 54 X s 2127 624 m 27 X s 2127 649 m 27 X s 2127 674 m 27 X s 2127 698 m + 27 X s 2100 723 m 54 X s 2127 747 m 27 X s 2127 772 m 27 X s 2127 797 m 27 X s 2127 821 m 27 X s 2100 846 m 54 X s 2127 870 m 27 X s 2127 895 m 27 X s 2127 920 m 27 X s 2127 944 m 27 X s 2100 969 m 54 X s 2127 993 m 27 X s 2127 1018 m 27 X s 2127 + 1043 m 27 X s 2127 1067 m 27 X s 2100 1092 m 54 X s 2127 1116 m 27 X s 2127 1141 m 27 X s 2127 1166 m 27 X s 2127 1190 m 27 X s 2100 1215 m 54 X s 2127 1240 m 27 X s 2127 1264 m 27 X s 2127 1289 m 27 X s 2127 1313 m 27 X s 2100 1338 m 54 X s 2127 + 1363 m 27 X s 2127 1387 m 27 X s 2127 1412 m 27 X s 2127 1436 m 27 X s 2100 1461 m 54 X s 0.35 0.33 0.85 c black 0.35 0.33 0.85 c 317 231 m 1837 X f 317 231 m 1837 X s black 317 231 m 1837 X s 375 268 m -37 Y s 432 249 m -18 Y s 490 249 m -18 Y s + 547 249 m -18 Y s 604 249 m -18 Y s 662 268 m -37 Y s 719 249 m -18 Y s 777 249 m -18 Y s 834 249 m -18 Y s 891 249 m -18 Y s 949 268 m -37 Y s 1006 249 m -18 Y s 1064 249 m -18 Y s 1121 249 m -18 Y s 1179 249 m -18 Y s 1236 268 m -37 Y s 1293 249 m + -18 Y s 1351 249 m -18 Y s 1408 249 m -18 Y s 1466 249 m -18 Y s 1523 268 m -37 Y s 1580 249 m -18 Y s 1638 249 m -18 Y s 1695 249 m -18 Y s 1753 249 m -18 Y s 1810 268 m -37 Y s 1867 249 m -18 Y s 1925 249 m -18 Y s 1982 249 m -18 Y s 2040 249 m + -18 Y s 2097 268 m -37 Y s 375 268 m -37 Y s 317 249 m -18 Y s 2097 268 m -37 Y s 2154 249 m -18 Y s 317 1461 m 1837 X s 375 1424 m 37 Y s 432 1442 m 19 Y s 490 1442 m 19 Y s 547 1442 m 19 Y s 604 1442 m 19 Y s 662 1424 m 37 Y s 719 1442 m 19 Y s + 777 1442 m 19 Y s 834 1442 m 19 Y s 891 1442 m 19 Y s 949 1424 m 37 Y s 1006 1442 m 19 Y s 1064 1442 m 19 Y s 1121 1442 m 19 Y s 1179 1442 m 19 Y s 1236 1424 m 37 Y s 1293 1442 m 19 Y s 1351 1442 m 19 Y s 1408 1442 m 19 Y s 1466 1442 m 19 Y s 1523 + 1424 m 37 Y s 1580 1442 m 19 Y s 1638 1442 m 19 Y s 1695 1442 m 19 Y s 1753 1442 m 19 Y s 1810 1424 m 37 Y s 1867 1442 m 19 Y s 1925 1442 m 19 Y s 1982 1442 m 19 Y s 2040 1442 m 19 Y s 2097 1424 m 37 Y s 375 1424 m 37 Y s 317 1442 m 19 Y s 2097 1424 + m 37 Y s 2154 1442 m 19 Y s 317 231 m 1230 Y s 372 231 m -55 X s 345 255 m -28 X s 345 280 m -28 X s 345 304 m -28 X s 345 329 m -28 X s 372 354 m -55 X s 345 378 m -28 X s 345 403 m -28 X s 345 428 m -28 X s 345 452 m -28 X s 372 477 m -55 X s 345 + 501 m -28 X s 345 526 m -28 X s 345 551 m -28 X s 345 575 m -28 X s 372 600 m -55 X s 345 624 m -28 X s 345 649 m -28 X s 345 674 m -28 X s 345 698 m -28 X s 372 723 m -55 X s 345 747 m -28 X s 345 772 m -28 X s 345 797 m -28 X s 345 821 m -28 X s + 372 846 m -55 X s 345 870 m -28 X s 345 895 m -28 X s 345 920 m -28 X s 345 944 m -28 X s 372 969 m -55 X s 345 993 m -28 X s 345 1018 m -28 X s 345 1043 m -28 X s 345 1067 m -28 X s 372 1092 m -55 X s 345 1116 m -28 X s 345 1141 m -28 X s 345 1166 + m -28 X s 345 1190 m -28 X s 372 1215 m -55 X s 345 1240 m -28 X s 345 1264 m -28 X s 345 1289 m -28 X s 345 1313 m -28 X s 372 1338 m -55 X s 345 1363 m -28 X s 345 1387 m -28 X s 345 1412 m -28 X s 345 1436 m -28 X s 372 1461 m -55 X s 2154 231 m + 1230 Y s 2100 231 m 54 X s 2127 255 m 27 X s 2127 280 m 27 X s 2127 304 m 27 X s 2127 329 m 27 X s 2100 354 m 54 X s 2127 378 m 27 X s 2127 403 m 27 X s 2127 428 m 27 X s 2127 452 m 27 X s 2100 477 m 54 X s 2127 501 m 27 X s 2127 526 m 27 X s 2127 + 551 m 27 X s 2127 575 m 27 X s 2100 600 m 54 X s 2127 624 m 27 X s 2127 649 m 27 X s 2127 674 m 27 X s 2127 698 m 27 X s 2100 723 m 54 X s 2127 747 m 27 X s 2127 772 m 27 X s 2127 797 m 27 X s 2127 821 m 27 X s 2100 846 m 54 X s 2127 870 m 27 X s + 2127 895 m 27 X s 2127 920 m 27 X s 2127 944 m 27 X s 2100 969 m 54 X s 2127 993 m 27 X s 2127 1018 m 27 X s 2127 1043 m 27 X s 2127 1067 m 27 X s 2100 1092 m 54 X s 2127 1116 m 27 X s 2127 1141 m 27 X s 2127 1166 m 27 X s 2127 1190 m 27 X s 2100 + 1215 m 54 X s 2127 1240 m 27 X s 2127 1264 m 27 X s 2127 1289 m 27 X s 2127 1313 m 27 X s 2100 1338 m 54 X s 2127 1363 m 27 X s 2127 1387 m 27 X s 2127 1412 m 27 X s 2127 1436 m 27 X s 2100 1461 m 54 X s + gr gr showpage +end +%%EOF diff --git a/validation/outputs/lhe_histos_0/Output/HTML/MadAnalysis5job_0/index.html b/validation/outputs/lhe_histos_0/Output/HTML/MadAnalysis5job_0/index.html new file mode 100644 index 00000000..be6be21b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/HTML/MadAnalysis5job_0/index.html @@ -0,0 +1,10306 @@ +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns='http://www.w3.org/1999/xhtml' xml:lang='en' lang='en'> + +<head> + <title>MadAnalysis 5 HTML report + + + + + +
+ + + + + +
+ ma5-logo
+ Please visit us. + 		+

MadAnalysis 5 report


+ Created by fuks on 01 April 2026, 23:53:35 +
+
+ + + +
+

+ +

Setup


+

Command history


+ ma5>
+ ma5>
+ ma5>import samples/ttbar_sl_1.lhe.gz as testset
+ ma5>set main.normalize = none
+ ma5>set main.lumi = 1.0
+ ma5>define e = e+ e-
+ ma5>define mu = mu+ mu-
+ ma5>
+ ma5>
+ ma5>
+ ma5>plot SQRTS 50 0 5000
+ ma5>plot SCALE 50 0 2000
+ ma5>plot ALPHA_QCD 50 0 0.3
+ ma5>plot ALPHA_QED 50 0 0.02
+ ma5>plot TET 50 0 5000
+ ma5>plot THT 50 0 5000
+ ma5>plot MET 50 0 1500
+ ma5>plot MHT 50 0 1500
+ ma5>plot NPID
+ ma5>plot NAPID
+ ma5>plot WEIGHTS
+ ma5>
+ ma5>
+ ma5>
+ ma5>plot PT(e) 50 0 1000 [PTordering]
+ ma5>plot ETA(e) 50 -8 8
+ ma5>plot ABSETA(e) 50 0 8
+ ma5>plot PHI(e) 32 -3.2 3.2
+ ma5>plot E(e) 50 0 2000
+ ma5>plot ET(e) 50 0 2000
+ ma5>plot M(e) 50 0 20
+ ma5>plot MT(e) 50 0 1000
+ ma5>plot MT_MET(e) 50 0 1000
+ ma5>plot P(e) 50 0 2000
+ ma5>plot PX(e) 50 -1000 1000
+ ma5>plot PY(e) 50 -1000 1000
+ ma5>plot PZ(e) 50 -2000 2000
+ ma5>plot R(e) 50 0 10
+ ma5>plot Y(e) 50 -8 8
+ ma5>plot BETA(e) 50 0 1.2
+ ma5>plot GAMMA(e) 50 1 100
+ ma5>
+ ma5>plot PT(e[1]) 50 0 1000 [PTordering]
+ ma5>plot ETA(e[1]) 50 -8 8 [PTordering]
+ ma5>plot PHI(e[1]) 32 -3.2 3.2 [PTordering]
+ ma5>plot E(e[1]) 50 0 2000 [PTordering]
+ ma5>plot MT_MET(e[1]) 50 0 1000 [PTordering]
+ ma5>plot PT(e[2]) 50 0 1000 [PTordering]
+ ma5>plot ETA(e[2]) 50 -8 8 [PTordering]
+ ma5>plot PHI(e[2]) 32 -3.2 3.2 [PTordering]
+ ma5>plot E(e[2]) 50 0 2000 [PTordering]
+ ma5>plot MT_MET(e[2]) 50 0 1000 [PTordering]
+ ma5>plot M(e[1] e[2]) 50 0 1000 [PTordering]
+ ma5>plot PT(e[1] e[2]) 50 0 1500 [PTordering]
+ ma5>plot DELTAR(e[1],e[2]) 50 0 10 [PTordering]
+ ma5>plot DPHI_0_PI(e[1],e[2]) 32 0 3.2 [PTordering]
+ ma5>plot DPHI_0_2PI(e[1],e[2]) 32 0 6.4 [PTordering]
+ ma5>
+ ma5>
+ ma5>
+ ma5>plot PT(mu) 50 0 1000 [PTordering]
+ ma5>plot ETA(mu) 50 -8 8
+ ma5>plot ABSETA(mu) 50 0 8
+ ma5>plot PHI(mu) 32 -3.2 3.2
+ ma5>plot E(mu) 50 0 2000
+ ma5>plot ET(mu) 50 0 2000
+ ma5>plot M(mu) 50 0 20
+ ma5>plot MT(mu) 50 0 1000
+ ma5>plot MT_MET(mu) 50 0 1000
+ ma5>plot P(mu) 50 0 2000
+ ma5>plot PX(mu) 50 -1000 1000
+ ma5>plot PY(mu) 50 -1000 1000
+ ma5>plot PZ(mu) 50 -2000 2000
+ ma5>plot R(mu) 50 0 10
+ ma5>plot Y(mu) 50 -8 8
+ ma5>plot BETA(mu) 50 0 1.2
+ ma5>plot GAMMA(mu) 50 1 100
+ ma5>
+ ma5>plot PT(mu[1]) 50 0 1000 [PTordering]
+ ma5>plot ETA(mu[1]) 50 -8 8 [PTordering]
+ ma5>plot PHI(mu[1]) 32 -3.2 3.2 [PTordering]
+ ma5>plot E(mu[1]) 50 0 2000 [PTordering]
+ ma5>plot MT_MET(mu[1]) 50 0 1000 [PTordering]
+ ma5>plot PT(mu[2]) 50 0 1000 [PTordering]
+ ma5>plot ETA(mu[2]) 50 -8 8 [PTordering]
+ ma5>plot PHI(mu[2]) 32 -3.2 3.2 [PTordering]
+ ma5>plot E(mu[2]) 50 0 2000 [PTordering]
+ ma5>plot MT_MET(mu[2]) 50 0 1000 [PTordering]
+ ma5>plot M(mu[1] mu[2]) 50 0 1000 [PTordering]
+ ma5>plot PT(mu[1] mu[2]) 50 0 1500 [PTordering]
+ ma5>plot DELTAR(mu[1],mu[2]) 50 0 10 [PTordering]
+ ma5>plot DPHI_0_PI(mu[1],mu[2]) 32 0 3.2 [PTordering]
+ ma5>plot DPHI_0_2PI(mu[1],mu[2]) 32 0 6.4 [PTordering]
+ ma5>
+ ma5>
+ ma5>
+ ma5>plot PT(b) 50 0 1000 [PTordering]
+ ma5>plot ETA(b) 50 -8 8
+ ma5>plot ABSETA(b) 50 0 8
+ ma5>plot PHI(b) 32 -3.2 3.2
+ ma5>plot E(b) 50 0 2000
+ ma5>plot ET(b) 50 0 2000
+ ma5>plot M(b) 50 0 50
+ ma5>plot MT(b) 50 0 1000
+ ma5>plot MT_MET(b) 50 0 1000
+ ma5>plot P(b) 50 0 2000
+ ma5>plot PX(b) 50 -1000 1000
+ ma5>plot PY(b) 50 -1000 1000
+ ma5>plot PZ(b) 50 -2000 2000
+ ma5>plot R(b) 50 0 10
+ ma5>plot Y(b) 50 -8 8
+ ma5>plot BETA(b) 50 0 1.2
+ ma5>plot GAMMA(b) 50 1 100
+ ma5>
+ ma5>plot PT(b[1]) 50 0 1000 [PTordering]
+ ma5>plot ETA(b[1]) 50 -8 8 [PTordering]
+ ma5>plot PHI(b[1]) 32 -3.2 3.2 [PTordering]
+ ma5>plot E(b[1]) 50 0 2000 [PTordering]
+ ma5>plot MT_MET(b[1]) 50 0 1000 [PTordering]
+ ma5>plot PT(b[2]) 50 0 1000 [PTordering]
+ ma5>plot ETA(b[2]) 50 -8 8 [PTordering]
+ ma5>plot PHI(b[2]) 32 -3.2 3.2 [PTordering]
+ ma5>plot E(b[2]) 50 0 2000 [PTordering]
+ ma5>plot MT_MET(b[2]) 50 0 1000 [PTordering]
+ ma5>plot M(b[1] b[2]) 50 0 2000 [PTordering]
+ ma5>plot PT(b[1] b[2]) 50 0 2000 [PTordering]
+ ma5>plot DELTAR(b[1],b[2]) 50 0 10 [PTordering]
+ ma5>plot DPHI_0_PI(b[1],b[2]) 32 0 3.2 [PTordering]
+ ma5>plot DPHI_0_2PI(b[1],b[2]) 32 0 6.4 [PTordering]
+ ma5>
+ ma5>
+ ma5>
+ ma5>plot PT(j) 50 0 1000 [PTordering]
+ ma5>plot ETA(j) 50 -8 8
+ ma5>plot ABSETA(j) 50 0 8
+ ma5>plot PHI(j) 32 -3.2 3.2
+ ma5>plot E(j) 50 0 2000
+ ma5>plot ET(j) 50 0 2000
+ ma5>plot M(j) 50 0 200
+ ma5>plot MT(j) 50 0 1000
+ ma5>plot MT_MET(j) 50 0 1000
+ ma5>plot P(j) 50 0 2000
+ ma5>plot PX(j) 50 -1000 1000
+ ma5>plot PY(j) 50 -1000 1000
+ ma5>plot PZ(j) 50 -2000 2000
+ ma5>plot R(j) 50 0 10
+ ma5>plot Y(j) 50 -8 8
+ ma5>plot BETA(j) 50 0 1.2
+ ma5>plot GAMMA(j) 50 1 100
+ ma5>
+ ma5>plot PT(j[1]) 50 0 1000 [PTordering]
+ ma5>plot ETA(j[1]) 50 -8 8 [PTordering]
+ ma5>plot PHI(j[1]) 32 -3.2 3.2 [PTordering]
+ ma5>plot E(j[1]) 50 0 2000 [PTordering]
+ ma5>plot MT_MET(j[1]) 50 0 1000 [PTordering]
+ ma5>plot PT(j[2]) 50 0 1000 [PTordering]
+ ma5>plot ETA(j[2]) 50 -8 8 [PTordering]
+ ma5>plot PHI(j[2]) 32 -3.2 3.2 [PTordering]
+ ma5>plot E(j[2]) 50 0 2000 [PTordering]
+ ma5>plot MT_MET(j[2]) 50 0 1000 [PTordering]
+ ma5>plot M(j[1] j[2]) 50 0 3000 [PTordering]
+ ma5>plot PT(j[1] j[2]) 50 0 3000 [PTordering]
+ ma5>plot DELTAR(j[1],j[2]) 50 0 10 [PTordering]
+ ma5>plot DPHI_0_PI(j[1],j[2]) 32 0 3.2 [PTordering]
+ ma5>plot DPHI_0_2PI(j[1],j[2]) 32 0 6.4 [PTordering]
+ ma5>
+ ma5>
+ ma5>
+ ma5>plot DELTAR(e,e) 50 0 10
+ ma5>plot DPHI_0_PI(e,e) 32 0 3.2
+ ma5>plot DPHI_0_2PI(e,e) 32 0 6.4
+ ma5>plot M(e e) 50 0 1000
+ ma5>plot PT(e e) 50 0 1500
+ ma5>plot DELTAR(mu,mu) 50 0 10
+ ma5>plot DPHI_0_PI(mu,mu) 32 0 3.2
+ ma5>plot DPHI_0_2PI(mu,mu) 32 0 6.4
+ ma5>plot M(mu mu) 50 0 1000
+ ma5>plot PT(mu mu) 50 0 1500
+ ma5>plot DELTAR(b,b) 50 0 10
+ ma5>plot DPHI_0_PI(b,b) 32 0 3.2
+ ma5>plot DPHI_0_2PI(b,b) 32 0 6.4
+ ma5>plot M(b b) 50 0 2000
+ ma5>plot PT(b b) 50 0 2000
+ ma5>plot DELTAR(j,j) 50 0 10
+ ma5>plot DPHI_0_PI(j,j) 32 0 3.2
+ ma5>plot DPHI_0_2PI(j,j) 32 0 6.4
+ ma5>plot M(j j) 50 0 3000
+ ma5>plot PT(j j) 50 0 3000
+ ma5>
+ ma5>plot DELTAR(e,mu) 50 0 10
+ ma5>plot DELTAR(e,j) 50 0 10
+ ma5>plot DELTAR(mu,j) 50 0 10
+ ma5>plot DELTAR(b,j) 50 0 10
+ ma5>plot M(e mu) 50 0 1000
+ ma5>plot M(e j) 50 0 2000
+ ma5>plot M(mu j) 50 0 2000
+ ma5>plot M(b j) 50 0 3000
+ ma5>plot PT(e mu) 50 0 1500
+ ma5>plot PT(b j) 50 0 3000
+ ma5>
+ ma5>plot DELTAR(e[1],mu[1]) 50 0 10 [PTordering]
+ ma5>plot DELTAR(e[1],j[1]) 50 0 10 [PTordering]
+ ma5>plot DELTAR(mu[1],j[1]) 50 0 10 [PTordering]
+ ma5>plot DELTAR(b[1],j[1]) 50 0 10 [PTordering]
+ ma5>plot M(e[1] mu[1]) 50 0 1000 [PTordering]
+ ma5>plot M(e[1] j[1]) 50 0 2000 [PTordering]
+ ma5>plot M(mu[1] j[1]) 50 0 2000 [PTordering]
+ ma5>plot M(b[1] j[1]) 50 0 3000 [PTordering]
+ ma5>plot PT(e[1] mu[1]) 50 0 1500 [PTordering]
+ ma5>plot PT(b[1] j[1]) 50 0 3000 [PTordering]
+ ma5>submit
+
+

Configuration

+ +

+ +

Datasets


+

testset

+ + + + + + + + + + + + + + +
+ Path to the event file
+ 		+ Nr. of events
+ 		+ Cross section (pb)
+ 		+ Negative wgts (%)
+
+ samples/ttbar_sl_1.lhe.gz
+ 		+ 1000
+ 		+ 15.4 @ 0.74%
+ 		+ 0.0
+


+

+ +

Histos and cuts


+

Histogram 1


+* Plot: SQRTS
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 489.445
+ 		+ 124.1
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 2


+* Plot: SCALE
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 214.211
+ 		+ 45.19
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 3


+* Plot: ALPHA_QCD
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.114843
+ 		+ 0.002765
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 4


+* Plot: ALPHA_QED
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.0795775
+ 		+ 4.683e-05
+ 		+ 0.0
+ 		+ 100.0
+


+
+ +


+
+

Histogram 5


+* Plot: TET
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 308.078
+ 		+ 93.57
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 6


+* Plot: THT
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 258.83
+ 		+ 79.71
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 7


+* Plot: MET
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 58.7171
+ 		+ 37.97
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 8


+* Plot: MHT
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 83.1686
+ 		+ 52.75
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 9


+* Plot: NPID
+

+ + + + + + + + + + + + +
+ Statistics table
+
+ Dataset
+ 		+ Integral
+ 		+ Entries / events
+
+ testset
+ 		+ 92.7
+ 		+ 0.0
+


+
+ +


+
+

Histogram 10


+* Plot: NAPID
+

+ + + + + + + + + + + + +
+ Statistics table
+
+ Dataset
+ 		+ Integral
+ 		+ Entries / events
+
+ testset
+ 		+ 92.7
+ 		+ 0.0
+


+
+ +


+
+

Histogram 11


+* Plot: WEIGHTS
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.0154478
+ 		+ 1.051e-05
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 12


+* Plot: PT ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 49.9595
+ 		+ 38.03
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 13


+* Plot: ETA ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 0.0509938
+ 		+ 1.152
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 14


+* Plot: ABSETA ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 0.946635
+ 		+ 0.6582
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 15


+* Plot: PHI ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 0.0207825
+ 		+ 1.754
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 16


+* Plot: E ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 87.8171
+ 		+ 77.33
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 17


+* Plot: ET ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 49.9595
+ 		+ 38.03
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 18


+* Plot: M ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 1.44661e-06
+ 		+ 0.0005939
+ 		+ 51.58
+ 		+ 0.0
+


+
+ +


+
+

Histogram 19


+* Plot: MT ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 0.000106287
+ 		+ 0.0001899
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 20


+* Plot: MT_MET ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 58.4921
+ 		+ 22.25
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 21


+* Plot: P ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 87.8171
+ 		+ 77.33
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 22


+* Plot: PX ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 2.09172
+ 		+ 43.07
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 23


+* Plot: PY ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 0.615749
+ 		+ 45.63
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 24


+* Plot: PZ ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 7.00982
+ 		+ 98.49
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 25


+* Plot: R ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 1.93047
+ 		+ 0.8241
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 26


+* Plot: Y ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 0.0509938
+ 		+ 1.152
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 27


+* Plot: BETA ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 1.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 28


+* Plot: GAMMA ( e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ nan
+ 		+ nan
+ 		+ 0.0
+ 		+ 48.42
+


+
+ +


+
+

Histogram 29


+* Plot: PT ( e[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 49.9595
+ 		+ 38.03
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 30


+* Plot: ETA ( e[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 0.0509938
+ 		+ 1.152
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 31


+* Plot: PHI ( e[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 0.0207825
+ 		+ 1.754
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 32


+* Plot: E ( e[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 87.8171
+ 		+ 77.33
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 33


+* Plot: MT_MET ( e[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 58.4921
+ 		+ 22.25
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 34


+* Plot: PT ( e[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 35


+* Plot: ETA ( e[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 36


+* Plot: PHI ( e[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 37


+* Plot: E ( e[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 38


+* Plot: MT_MET ( e[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 39


+* Plot: M ( e[1] e[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 40


+* Plot: PT ( e[1] e[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 41


+* Plot: DELTAR ( e[1] , e[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 42


+* Plot: DPHI_0_PI ( e[1] , e[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 43


+* Plot: DPHI_0_2PI ( e[1] , e[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 44


+* Plot: PT ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 48.5205
+ 		+ 33.1
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 45


+* Plot: ETA ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 0.0359047
+ 		+ 1.13
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 46


+* Plot: ABSETA ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 0.938579
+ 		+ 0.6297
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 47


+* Plot: PHI ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ -0.0970943
+ 		+ 1.804
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 48


+* Plot: E ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 83.6679
+ 		+ 68.85
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 49


+* Plot: ET ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 48.5205
+ 		+ 33.1
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 50


+* Plot: M ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 5.6886e-06
+ 		+ 0.0005586
+ 		+ 47.57
+ 		+ 0.0
+


+
+ +


+
+

Histogram 51


+* Plot: MT ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 0.000106791
+ 		+ 0.0001948
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 52


+* Plot: MT_MET ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 59.2324
+ 		+ 21.72
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 53


+* Plot: P ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 83.6679
+ 		+ 68.85
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 54


+* Plot: PX ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 1.91001
+ 		+ 42.25
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 55


+* Plot: PY ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ -0.97706
+ 		+ 40.74
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 56


+* Plot: PZ ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ -0.0695523
+ 		+ 91.06
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 57


+* Plot: R ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 1.9459
+ 		+ 0.8686
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 58


+* Plot: Y ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 0.0359047
+ 		+ 1.13
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 59


+* Plot: BETA ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 1.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 60


+* Plot: GAMMA ( mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ nan
+ 		+ nan
+ 		+ 0.0
+ 		+ 52.43
+


+
+ +


+
+

Histogram 61


+* Plot: PT ( mu[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 48.5205
+ 		+ 33.1
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 62


+* Plot: ETA ( mu[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 0.0359047
+ 		+ 1.13
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 63


+* Plot: PHI ( mu[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ -0.0970943
+ 		+ 1.804
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 64


+* Plot: E ( mu[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 83.6679
+ 		+ 68.85
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 65


+* Plot: MT_MET ( mu[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 59.2324
+ 		+ 21.72
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 66


+* Plot: PT ( mu[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 67


+* Plot: ETA ( mu[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 68


+* Plot: PHI ( mu[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 69


+* Plot: E ( mu[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 70


+* Plot: MT_MET ( mu[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 71


+* Plot: M ( mu[1] mu[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 72


+* Plot: PT ( mu[1] mu[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 73


+* Plot: DELTAR ( mu[1] , mu[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 74


+* Plot: DPHI_0_PI ( mu[1] , mu[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 75


+* Plot: DPHI_0_2PI ( mu[1] , mu[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 76


+* Plot: PT ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 72.2733
+ 		+ 38.02
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 77


+* Plot: ETA ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.048521
+ 		+ 1.264
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 78


+* Plot: ABSETA ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 1.02001
+ 		+ 0.7485
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 79


+* Plot: PHI ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.0257839
+ 		+ 1.82
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 80


+* Plot: E ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 139.461
+ 		+ 106.8
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 81


+* Plot: ET ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 72.3671
+ 		+ 37.99
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 82


+* Plot: M ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 4.7
+ 		+ 0.001892
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 83


+* Plot: MT ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 3.10162
+ 		+ 1.297
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 84


+* Plot: MT_MET ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 87.6682
+ 		+ 54.39
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 85


+* Plot: P ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 139.338
+ 		+ 106.9
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 86


+* Plot: PX ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ -1.79812
+ 		+ 56.57
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 87


+* Plot: PY ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 1.05422
+ 		+ 58.87
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 88


+* Plot: PZ ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 2.7842
+ 		+ 155.5
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 89


+* Plot: R ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 2.03579
+ 		+ 0.878
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 90


+* Plot: Y ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.0482562
+ 		+ 1.261
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 91


+* Plot: BETA ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.998042
+ 		+ 0.002796
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 92


+* Plot: GAMMA ( b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 29.6726
+ 		+ 22.73
+ 		+ 0.0
+ 		+ 2.3
+


+
+ +


+
+

Histogram 93


+* Plot: PT ( b[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 72.2733
+ 		+ 38.02
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 94


+* Plot: ETA ( b[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.048521
+ 		+ 1.264
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 95


+* Plot: PHI ( b[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.0257839
+ 		+ 1.82
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 96


+* Plot: E ( b[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 139.461
+ 		+ 106.8
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 97


+* Plot: MT_MET ( b[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 87.6682
+ 		+ 54.39
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 98


+* Plot: PT ( b[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 99


+* Plot: ETA ( b[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 100


+* Plot: PHI ( b[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 101


+* Plot: E ( b[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 102


+* Plot: MT_MET ( b[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 103


+* Plot: M ( b[1] b[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 104


+* Plot: PT ( b[1] b[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 105


+* Plot: DELTAR ( b[1] , b[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 106


+* Plot: DPHI_0_PI ( b[1] , b[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 107


+* Plot: DPHI_0_2PI ( b[1] , b[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 108


+* Plot: PT ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 56.3608
+ 		+ 32.57
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 109


+* Plot: ETA ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 0.0219264
+ 		+ 1.2
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 110


+* Plot: ABSETA ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 0.971377
+ 		+ 0.7051
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 111


+* Plot: PHI ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 0.0781512
+ 		+ 1.851
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 112


+* Plot: E ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 104.57
+ 		+ 85.46
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 113


+* Plot: ET ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 56.3608
+ 		+ 32.57
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 114


+* Plot: M ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ -1.3327e-05
+ 		+ 0.0006733
+ 		+ 50.9
+ 		+ 0.0
+


+
+ +


+
+

Histogram 115


+* Plot: MT ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 0.000121728
+ 		+ 0.0002075
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 116


+* Plot: MT_MET ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 82.308
+ 		+ 60.37
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 117


+* Plot: P ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 104.57
+ 		+ 85.46
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 118


+* Plot: PX ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ -2.36396
+ 		+ 45.86
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 119


+* Plot: PY ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 1.06079
+ 		+ 46.13
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 120


+* Plot: PZ ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 4.14477
+ 		+ 118.3
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 121


+* Plot: R ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 2.036
+ 		+ 0.8521
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 122


+* Plot: Y ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 0.0219264
+ 		+ 1.2
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 123


+* Plot: BETA ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 1.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 124


+* Plot: GAMMA ( j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ nan
+ 		+ nan
+ 		+ 0.0
+ 		+ 49.1
+


+
+ +


+
+

Histogram 125


+* Plot: PT ( j[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 74.0942
+ 		+ 34.32
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 126


+* Plot: ETA ( j[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.0200712
+ 		+ 1.117
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 127


+* Plot: PHI ( j[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.0625323
+ 		+ 1.856
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 128


+* Plot: E ( j[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 129.519
+ 		+ 93.36
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 129


+* Plot: MT_MET ( j[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 98.7583
+ 		+ 67.56
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 130


+* Plot: PT ( j[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 38.6273
+ 		+ 17.75
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 131


+* Plot: ETA ( j[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.0237817
+ 		+ 1.278
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 132


+* Plot: PHI ( j[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 0.0937701
+ 		+ 1.845
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 133


+* Plot: E ( j[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 79.6223
+ 		+ 68.15
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 134


+* Plot: MT_MET ( j[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 65.8576
+ 		+ 46.73
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 135


+* Plot: M ( j[1] j[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 80.3339
+ 		+ 4.323
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 136


+* Plot: PT ( j[1] j[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 86.6463
+ 		+ 54.96
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 137


+* Plot: DELTAR ( j[1] , j[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 1.90737
+ 		+ 0.6749
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 138


+* Plot: DPHI_0_PI ( j[1] , j[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 1.55671
+ 		+ 0.809
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 139


+* Plot: DPHI_0_2PI ( j[1] , j[2] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 3.02239
+ 		+ 1.775
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 140


+* Plot: DELTAR ( e , e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 141


+* Plot: DPHI_0_PI ( e , e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 142


+* Plot: DPHI_0_2PI ( e , e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 143


+* Plot: M ( e e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 144


+* Plot: PT ( e e )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 145


+* Plot: DELTAR ( mu , mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 146


+* Plot: DPHI_0_PI ( mu , mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 147


+* Plot: DPHI_0_2PI ( mu , mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 148


+* Plot: M ( mu mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 149


+* Plot: PT ( mu mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 150


+* Plot: DELTAR ( b , b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 151


+* Plot: DPHI_0_PI ( b , b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 152


+* Plot: DPHI_0_2PI ( b , b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 153


+* Plot: M ( b b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 154


+* Plot: PT ( b b )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 155


+* Plot: DELTAR ( j , j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 1.90737
+ 		+ 0.6749
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 156


+* Plot: DPHI_0_PI ( j , j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 1.55671
+ 		+ 0.809
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 157


+* Plot: DPHI_0_2PI ( j , j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 3.14159
+ 		+ 1.779
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 158


+* Plot: M ( j j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 80.3339
+ 		+ 4.323
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 159


+* Plot: PT ( j j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 86.6463
+ 		+ 54.96
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 160


+* Plot: DELTAR ( e , mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 161


+* Plot: DELTAR ( e , j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.6
+ 		+ 2.0
+ 		+ 2.3081
+ 		+ 0.8766
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 162


+* Plot: DELTAR ( mu , j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.3
+ 		+ 2.0
+ 		+ 2.25996
+ 		+ 0.8857
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 163


+* Plot: DELTAR ( b , j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 2.25698
+ 		+ 0.8185
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 164


+* Plot: M ( e mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 165


+* Plot: M ( e j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.6
+ 		+ 2.0
+ 		+ 106.004
+ 		+ 73.86
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 166


+* Plot: M ( j mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.3
+ 		+ 2.0
+ 		+ 101.989
+ 		+ 66.26
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 167


+* Plot: M ( b j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 120.153
+ 		+ 62.93
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 168


+* Plot: PT ( e mu )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 169


+* Plot: PT ( b j )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 30.9
+ 		+ 2.0
+ 		+ 80.8933
+ 		+ 46.34
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 170


+* Plot: DELTAR ( e[1] , mu[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 171


+* Plot: DELTAR ( e[1] , j[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 2.34591
+ 		+ 0.8529
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 172


+* Plot: DELTAR ( mu[1] , j[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 2.32408
+ 		+ 0.8288
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 173


+* Plot: DELTAR ( b[1] , j[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 2.26008
+ 		+ 0.798
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 174


+* Plot: M ( e[1] mu[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 175


+* Plot: M ( e[1] j[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.82
+ 		+ 1.0
+ 		+ 123.783
+ 		+ 81.94
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 176


+* Plot: M ( j[1] mu[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 7.63
+ 		+ 1.0
+ 		+ 117.989
+ 		+ 70.7
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 177


+* Plot: M ( b[1] j[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 137.213
+ 		+ 66.95
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 178


+* Plot: PT ( e[1] mu[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 0.0 +/- 0.0
+ 		+ 0.
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+

Histogram 179


+* Plot: PT ( b[1] j[1] )
+

+ + + + + + + + + + + + + + + + + + + +
+ Dataset
+ 		+ Integral
+ 		+ Entries per event
+ 		+ Mean
+ 		+ RMS
+ 		+ % underflow
+ 		+ % overflow
+
+ testset
+ 		+ 15.4
+ 		+ 1.0
+ 		+ 87.1047
+ 		+ 50.81
+ 		+ 0.0
+ 		+ 0.0
+


+
+ +


+
+
+
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Including histograms +#include "selection_0.C" +#include "selection_1.C" +#include "selection_2.C" +#include "selection_3.C" +#include "selection_4.C" +#include "selection_5.C" +#include "selection_6.C" +#include "selection_7.C" +#include "selection_8.C" +#include "selection_9.C" +#include "selection_10.C" +#include "selection_11.C" +#include "selection_12.C" +#include "selection_13.C" +#include "selection_14.C" +#include "selection_15.C" +#include "selection_16.C" +#include "selection_17.C" +#include "selection_18.C" +#include "selection_19.C" +#include "selection_20.C" +#include "selection_21.C" +#include "selection_22.C" +#include "selection_23.C" +#include "selection_24.C" +#include "selection_25.C" +#include "selection_26.C" +#include "selection_27.C" +#include "selection_28.C" +#include "selection_29.C" +#include "selection_30.C" +#include "selection_31.C" +#include "selection_32.C" +#include "selection_33.C" +#include "selection_34.C" +#include "selection_35.C" +#include "selection_36.C" +#include "selection_37.C" +#include "selection_38.C" +#include "selection_39.C" +#include "selection_40.C" +#include "selection_41.C" +#include "selection_42.C" +#include "selection_43.C" +#include "selection_44.C" +#include "selection_45.C" +#include "selection_46.C" +#include "selection_47.C" +#include "selection_48.C" +#include "selection_49.C" +#include "selection_50.C" +#include "selection_51.C" +#include "selection_52.C" +#include "selection_53.C" +#include "selection_54.C" +#include "selection_55.C" +#include "selection_56.C" +#include "selection_57.C" +#include "selection_58.C" +#include "selection_59.C" +#include "selection_60.C" +#include "selection_61.C" +#include "selection_62.C" +#include "selection_63.C" +#include "selection_64.C" +#include "selection_65.C" +#include "selection_66.C" +#include "selection_67.C" +#include "selection_68.C" +#include "selection_69.C" +#include "selection_70.C" +#include "selection_71.C" +#include "selection_72.C" +#include "selection_73.C" +#include "selection_74.C" +#include "selection_75.C" +#include "selection_76.C" +#include "selection_77.C" +#include "selection_78.C" +#include "selection_79.C" +#include "selection_80.C" +#include "selection_81.C" +#include "selection_82.C" +#include "selection_83.C" +#include "selection_84.C" +#include "selection_85.C" +#include "selection_86.C" +#include "selection_87.C" +#include "selection_88.C" +#include "selection_89.C" +#include "selection_90.C" +#include "selection_91.C" +#include "selection_92.C" +#include "selection_93.C" +#include "selection_94.C" +#include "selection_95.C" +#include "selection_96.C" +#include "selection_97.C" +#include "selection_98.C" +#include "selection_99.C" +#include "selection_100.C" +#include "selection_101.C" +#include "selection_102.C" +#include "selection_103.C" +#include "selection_104.C" +#include "selection_105.C" +#include "selection_106.C" +#include "selection_107.C" +#include "selection_108.C" +#include "selection_109.C" +#include "selection_110.C" +#include "selection_111.C" +#include "selection_112.C" +#include "selection_113.C" +#include "selection_114.C" +#include "selection_115.C" +#include "selection_116.C" +#include "selection_117.C" +#include "selection_118.C" +#include "selection_119.C" +#include "selection_120.C" +#include "selection_121.C" +#include "selection_122.C" +#include "selection_123.C" +#include "selection_124.C" +#include "selection_125.C" +#include "selection_126.C" +#include "selection_127.C" +#include "selection_128.C" +#include "selection_129.C" +#include "selection_130.C" +#include "selection_131.C" +#include "selection_132.C" +#include "selection_133.C" +#include "selection_134.C" +#include "selection_135.C" +#include "selection_136.C" +#include "selection_137.C" +#include "selection_138.C" +#include "selection_139.C" +#include "selection_140.C" +#include "selection_141.C" +#include "selection_142.C" +#include "selection_143.C" +#include "selection_144.C" +#include "selection_145.C" +#include "selection_146.C" +#include "selection_147.C" +#include "selection_148.C" +#include "selection_149.C" +#include "selection_150.C" +#include "selection_151.C" +#include "selection_152.C" +#include "selection_153.C" +#include "selection_154.C" +#include "selection_155.C" +#include "selection_156.C" +#include "selection_157.C" +#include "selection_158.C" +#include "selection_159.C" +#include "selection_160.C" +#include "selection_161.C" +#include "selection_162.C" +#include "selection_163.C" +#include "selection_164.C" +#include "selection_165.C" +#include "selection_166.C" +#include "selection_167.C" +#include "selection_168.C" +#include "selection_169.C" +#include "selection_170.C" +#include "selection_171.C" +#include "selection_172.C" +#include "selection_173.C" +#include "selection_174.C" +#include "selection_175.C" +#include "selection_176.C" +#include "selection_177.C" +#include "selection_178.C" + +// Main program +int main() +{ + std::cout << "BEGIN-STAMP" << std::endl; + selection_0(); + selection_1(); + selection_2(); + selection_3(); + selection_4(); + selection_5(); + selection_6(); + selection_7(); + selection_8(); + selection_9(); + selection_10(); + selection_11(); + selection_12(); + selection_13(); + selection_14(); + selection_15(); + selection_16(); + selection_17(); + selection_18(); + selection_19(); + selection_20(); + selection_21(); + selection_22(); + selection_23(); + selection_24(); + selection_25(); + selection_26(); + selection_27(); + selection_28(); + selection_29(); + selection_30(); + selection_31(); + selection_32(); + selection_33(); + selection_34(); + selection_35(); + selection_36(); + selection_37(); + selection_38(); + selection_39(); + selection_40(); + selection_41(); + selection_42(); + selection_43(); + selection_44(); + selection_45(); + selection_46(); + selection_47(); + selection_48(); + selection_49(); + selection_50(); + selection_51(); + selection_52(); + selection_53(); + selection_54(); + selection_55(); + selection_56(); + selection_57(); + selection_58(); + selection_59(); + selection_60(); + selection_61(); + selection_62(); + selection_63(); + selection_64(); + selection_65(); + selection_66(); + selection_67(); + selection_68(); + selection_69(); + selection_70(); + selection_71(); + selection_72(); + selection_73(); + selection_74(); + selection_75(); + selection_76(); + selection_77(); + selection_78(); + selection_79(); + selection_80(); + selection_81(); + selection_82(); + selection_83(); + selection_84(); + selection_85(); + selection_86(); + selection_87(); + selection_88(); + selection_89(); + selection_90(); + selection_91(); + selection_92(); + selection_93(); + selection_94(); + selection_95(); + selection_96(); + selection_97(); + selection_98(); + selection_99(); + selection_100(); + selection_101(); + selection_102(); + selection_103(); + selection_104(); + selection_105(); + selection_106(); + selection_107(); + selection_108(); + selection_109(); + selection_110(); + selection_111(); + selection_112(); + selection_113(); + selection_114(); + selection_115(); + selection_116(); + selection_117(); + selection_118(); + selection_119(); + selection_120(); + selection_121(); + selection_122(); + selection_123(); + selection_124(); + selection_125(); + selection_126(); + selection_127(); + selection_128(); + selection_129(); + selection_130(); + selection_131(); + selection_132(); + selection_133(); + selection_134(); + selection_135(); + selection_136(); + selection_137(); + selection_138(); + selection_139(); + selection_140(); + selection_141(); + selection_142(); + selection_143(); + selection_144(); + selection_145(); + selection_146(); + selection_147(); + selection_148(); + selection_149(); + selection_150(); + selection_151(); + selection_152(); + selection_153(); + selection_154(); + selection_155(); + selection_156(); + selection_157(); + selection_158(); + selection_159(); + selection_160(); + selection_161(); + selection_162(); + selection_163(); + selection_164(); + selection_165(); + selection_166(); + selection_167(); + selection_168(); + selection_169(); + selection_170(); + selection_171(); + selection_172(); + selection_173(); + selection_174(); + selection_175(); + selection_176(); + selection_177(); + selection_178(); + std::cout << "END-STAMP" << std::endl; + return 0; +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/compile_root.log b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/compile_root.log new file mode 100644 index 00000000..efac683b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/compile_root.log @@ -0,0 +1,13 @@ +`/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/ExternalSymLink/Bin/root-config --cxx` `/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/ExternalSymLink/Bin/root-config --cflags` all.C `/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/ExternalSymLink/Bin/root-config --libs` -o goROOT +In file included from all.C:8: +In file included from /Applications/Root/include/TCanvas.h:15: +In file included from /Applications/Root/include/TPad.h:15: +In file included from /Applications/Root/include/TVirtualPad.h:30: +In file included from /Applications/Root/include/TQObject.h:42: +/Applications/Root/include/TVirtualQConnection.h:53:42: warning: 'sizeof (val)' will return the size of the pointer, not the array itself [-Wsizeof-pointer-div] + constexpr size_t size = sizeof(val)/sizeof(val[0]); + ~~~~~~~~~~~^ +/Applications/Root/include/TVirtualQConnection.h:51:25: note: pointer 'val' declared here + void SetArg(const T* val) + ^ +1 warning generated. diff --git 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TCanvas("canvas_plotflow_tempo1","canvas_plotflow_tempo1",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S1_SQRTS_0 = new TH1F("S1_SQRTS_0","S1_SQRTS_0",50,0.0,5000.0); + // Content + S1_SQRTS_0->SetBinContent(0,0.0); // underflow + S1_SQRTS_0->SetBinContent(1,0.0); + S1_SQRTS_0->SetBinContent(2,0.0); + S1_SQRTS_0->SetBinContent(3,0.0); + S1_SQRTS_0->SetBinContent(4,3.738375); + S1_SQRTS_0->SetBinContent(5,6.457193); + S1_SQRTS_0->SetBinContent(6,2.965983); + S1_SQRTS_0->SetBinContent(7,1.158587); + S1_SQRTS_0->SetBinContent(8,0.5870175); + S1_SQRTS_0->SetBinContent(9,0.3553001); + S1_SQRTS_0->SetBinContent(10,0.1235826); + S1_SQRTS_0->SetBinContent(11,0.04634349); + S1_SQRTS_0->SetBinContent(12,0.0); + S1_SQRTS_0->SetBinContent(13,0.01544783); + S1_SQRTS_0->SetBinContent(14,0.0); + S1_SQRTS_0->SetBinContent(15,0.0); + S1_SQRTS_0->SetBinContent(16,0.0); + S1_SQRTS_0->SetBinContent(17,0.0); + S1_SQRTS_0->SetBinContent(18,0.0); + S1_SQRTS_0->SetBinContent(19,0.0); + S1_SQRTS_0->SetBinContent(20,0.0); + S1_SQRTS_0->SetBinContent(21,0.0); + S1_SQRTS_0->SetBinContent(22,0.0); + S1_SQRTS_0->SetBinContent(23,0.0); + S1_SQRTS_0->SetBinContent(24,0.0); + S1_SQRTS_0->SetBinContent(25,0.0); + S1_SQRTS_0->SetBinContent(26,0.0); + S1_SQRTS_0->SetBinContent(27,0.0); + S1_SQRTS_0->SetBinContent(28,0.0); + S1_SQRTS_0->SetBinContent(29,0.0); + S1_SQRTS_0->SetBinContent(30,0.0); + S1_SQRTS_0->SetBinContent(31,0.0); + S1_SQRTS_0->SetBinContent(32,0.0); + S1_SQRTS_0->SetBinContent(33,0.0); + S1_SQRTS_0->SetBinContent(34,0.0); + S1_SQRTS_0->SetBinContent(35,0.0); + S1_SQRTS_0->SetBinContent(36,0.0); + S1_SQRTS_0->SetBinContent(37,0.0); + S1_SQRTS_0->SetBinContent(38,0.0); + S1_SQRTS_0->SetBinContent(39,0.0); + S1_SQRTS_0->SetBinContent(40,0.0); + S1_SQRTS_0->SetBinContent(41,0.0); + S1_SQRTS_0->SetBinContent(42,0.0); + S1_SQRTS_0->SetBinContent(43,0.0); + S1_SQRTS_0->SetBinContent(44,0.0); + S1_SQRTS_0->SetBinContent(45,0.0); + S1_SQRTS_0->SetBinContent(46,0.0); + S1_SQRTS_0->SetBinContent(47,0.0); + S1_SQRTS_0->SetBinContent(48,0.0); + S1_SQRTS_0->SetBinContent(49,0.0); + S1_SQRTS_0->SetBinContent(50,0.0); + S1_SQRTS_0->SetBinContent(51,0.0); // overflow + S1_SQRTS_0->SetEntries(1000); + // Style + S1_SQRTS_0->SetLineColor(9); + S1_SQRTS_0->SetLineStyle(1); + S1_SQRTS_0->SetLineWidth(1); + S1_SQRTS_0->SetFillColor(9); + S1_SQRTS_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_2","mystack"); + stack->Add(S1_SQRTS_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#sqrt{#hat{s}} (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_0.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_0.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_0.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_0.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_0.py new file mode 100644 index 00000000..e5b21933 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_0.py @@ -0,0 +1,62 @@ +def selection_0(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,5000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([50.0,150.0,250.0,350.0,450.0,550.0,650.0,750.0,850.0,950.0,1050.0,1150.0,1250.0,1350.0,1450.0,1550.0,1650.0,1750.0,1850.0,1950.0,2050.0,2150.0,2250.0,2350.0,2450.0,2550.0,2650.0,2750.0,2850.0,2950.0,3050.0,3150.0,3250.0,3350.0,3450.0,3550.0,3650.0,3750.0,3850.0,3950.0,4050.0,4150.0,4250.0,4350.0,4450.0,4550.0,4650.0,4750.0,4850.0,4950.0]) + + # Creating weights for histo: y1_SQRTS_0 + y1_SQRTS_0_weights = numpy.array([0.0,0.0,0.0,3.738375,6.457193,2.965983,1.158587,0.5870175,0.3553001,0.1235826,0.04634349,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y1_SQRTS_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\sqrt{\hat{s}}$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y1_SQRTS_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y1_SQRTS_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_0.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_0.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_0.eps') + +# Running! +if __name__ == '__main__': + selection_0() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_1.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_1.C new file mode 100644 index 00000000..f6c5a389 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_1.C @@ -0,0 +1,117 @@ +void selection_1() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo3","canvas_plotflow_tempo3",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S2_SCALE_0 = new TH1F("S2_SCALE_0","S2_SCALE_0",50,0.0,2000.0); + // Content + S2_SCALE_0->SetBinContent(0,0.0); // underflow + S2_SCALE_0->SetBinContent(1,0.0); + S2_SCALE_0->SetBinContent(2,0.0); + S2_SCALE_0->SetBinContent(3,0.0); + S2_SCALE_0->SetBinContent(4,0.0); + S2_SCALE_0->SetBinContent(5,7.785706); + S2_SCALE_0->SetBinContent(6,4.896962); + S2_SCALE_0->SetBinContent(7,1.606574); + S2_SCALE_0->SetBinContent(8,0.4943306); + S2_SCALE_0->SetBinContent(9,0.3553001); + S2_SCALE_0->SetBinContent(10,0.1544783); + S2_SCALE_0->SetBinContent(11,0.1081348); + S2_SCALE_0->SetBinContent(12,0.03089566); + S2_SCALE_0->SetBinContent(13,0.0); + S2_SCALE_0->SetBinContent(14,0.01544783); + S2_SCALE_0->SetBinContent(15,0.0); + S2_SCALE_0->SetBinContent(16,0.0); + S2_SCALE_0->SetBinContent(17,0.0); + S2_SCALE_0->SetBinContent(18,0.0); + S2_SCALE_0->SetBinContent(19,0.0); + S2_SCALE_0->SetBinContent(20,0.0); + S2_SCALE_0->SetBinContent(21,0.0); + S2_SCALE_0->SetBinContent(22,0.0); + S2_SCALE_0->SetBinContent(23,0.0); + S2_SCALE_0->SetBinContent(24,0.0); + S2_SCALE_0->SetBinContent(25,0.0); + S2_SCALE_0->SetBinContent(26,0.0); + S2_SCALE_0->SetBinContent(27,0.0); + S2_SCALE_0->SetBinContent(28,0.0); + S2_SCALE_0->SetBinContent(29,0.0); + S2_SCALE_0->SetBinContent(30,0.0); + S2_SCALE_0->SetBinContent(31,0.0); + S2_SCALE_0->SetBinContent(32,0.0); + S2_SCALE_0->SetBinContent(33,0.0); + S2_SCALE_0->SetBinContent(34,0.0); + S2_SCALE_0->SetBinContent(35,0.0); + S2_SCALE_0->SetBinContent(36,0.0); + S2_SCALE_0->SetBinContent(37,0.0); + S2_SCALE_0->SetBinContent(38,0.0); + S2_SCALE_0->SetBinContent(39,0.0); + S2_SCALE_0->SetBinContent(40,0.0); + S2_SCALE_0->SetBinContent(41,0.0); + S2_SCALE_0->SetBinContent(42,0.0); + S2_SCALE_0->SetBinContent(43,0.0); + S2_SCALE_0->SetBinContent(44,0.0); + S2_SCALE_0->SetBinContent(45,0.0); + S2_SCALE_0->SetBinContent(46,0.0); + S2_SCALE_0->SetBinContent(47,0.0); + S2_SCALE_0->SetBinContent(48,0.0); + S2_SCALE_0->SetBinContent(49,0.0); + S2_SCALE_0->SetBinContent(50,0.0); + S2_SCALE_0->SetBinContent(51,0.0); // overflow + S2_SCALE_0->SetEntries(1000); + // Style + S2_SCALE_0->SetLineColor(9); + S2_SCALE_0->SetLineStyle(1); + S2_SCALE_0->SetLineWidth(1); + S2_SCALE_0->SetFillColor(9); + S2_SCALE_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_4","mystack"); + stack->Add(S2_SCALE_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("event scale Q (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_1.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_1.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_1.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_1.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_1.py new file mode 100644 index 00000000..7209c71d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_1.py @@ -0,0 +1,62 @@ +def selection_1(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y2_SCALE_0 + y2_SCALE_0_weights = numpy.array([0.0,0.0,0.0,0.0,7.785706,4.896962,1.606574,0.4943306,0.3553001,0.1544783,0.1081348,0.03089566,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y2_SCALE_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$event scale Q$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y2_SCALE_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y2_SCALE_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_1.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_1.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_1.eps') + +# Running! +if __name__ == '__main__': + selection_1() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_10.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_10.C new file mode 100644 index 00000000..62d89726 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_10.C @@ -0,0 +1,167 @@ +void selection_10() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo21","canvas_plotflow_tempo21",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S11_WEIGHTS_0 = new TH1F("S11_WEIGHTS_0","S11_WEIGHTS_0",100,-1.0,1.0); + // Content + S11_WEIGHTS_0->SetBinContent(0,0.0); // underflow + S11_WEIGHTS_0->SetBinContent(1,0.0); + S11_WEIGHTS_0->SetBinContent(2,0.0); + S11_WEIGHTS_0->SetBinContent(3,0.0); + S11_WEIGHTS_0->SetBinContent(4,0.0); + S11_WEIGHTS_0->SetBinContent(5,0.0); + S11_WEIGHTS_0->SetBinContent(6,0.0); + S11_WEIGHTS_0->SetBinContent(7,0.0); + S11_WEIGHTS_0->SetBinContent(8,0.0); + S11_WEIGHTS_0->SetBinContent(9,0.0); + S11_WEIGHTS_0->SetBinContent(10,0.0); + S11_WEIGHTS_0->SetBinContent(11,0.0); + S11_WEIGHTS_0->SetBinContent(12,0.0); + S11_WEIGHTS_0->SetBinContent(13,0.0); + S11_WEIGHTS_0->SetBinContent(14,0.0); + S11_WEIGHTS_0->SetBinContent(15,0.0); + S11_WEIGHTS_0->SetBinContent(16,0.0); + S11_WEIGHTS_0->SetBinContent(17,0.0); + S11_WEIGHTS_0->SetBinContent(18,0.0); + S11_WEIGHTS_0->SetBinContent(19,0.0); + S11_WEIGHTS_0->SetBinContent(20,0.0); + S11_WEIGHTS_0->SetBinContent(21,0.0); + S11_WEIGHTS_0->SetBinContent(22,0.0); + S11_WEIGHTS_0->SetBinContent(23,0.0); + S11_WEIGHTS_0->SetBinContent(24,0.0); + S11_WEIGHTS_0->SetBinContent(25,0.0); + S11_WEIGHTS_0->SetBinContent(26,0.0); + S11_WEIGHTS_0->SetBinContent(27,0.0); + S11_WEIGHTS_0->SetBinContent(28,0.0); + S11_WEIGHTS_0->SetBinContent(29,0.0); + S11_WEIGHTS_0->SetBinContent(30,0.0); + S11_WEIGHTS_0->SetBinContent(31,0.0); + S11_WEIGHTS_0->SetBinContent(32,0.0); + S11_WEIGHTS_0->SetBinContent(33,0.0); + S11_WEIGHTS_0->SetBinContent(34,0.0); + S11_WEIGHTS_0->SetBinContent(35,0.0); + S11_WEIGHTS_0->SetBinContent(36,0.0); + S11_WEIGHTS_0->SetBinContent(37,0.0); + S11_WEIGHTS_0->SetBinContent(38,0.0); + S11_WEIGHTS_0->SetBinContent(39,0.0); + S11_WEIGHTS_0->SetBinContent(40,0.0); + S11_WEIGHTS_0->SetBinContent(41,0.0); + S11_WEIGHTS_0->SetBinContent(42,0.0); + S11_WEIGHTS_0->SetBinContent(43,0.0); + S11_WEIGHTS_0->SetBinContent(44,0.0); + S11_WEIGHTS_0->SetBinContent(45,0.0); + S11_WEIGHTS_0->SetBinContent(46,0.0); + S11_WEIGHTS_0->SetBinContent(47,0.0); + S11_WEIGHTS_0->SetBinContent(48,0.0); + S11_WEIGHTS_0->SetBinContent(49,0.0); + S11_WEIGHTS_0->SetBinContent(50,0.0); + S11_WEIGHTS_0->SetBinContent(51,15.44783); + S11_WEIGHTS_0->SetBinContent(52,0.0); + S11_WEIGHTS_0->SetBinContent(53,0.0); + S11_WEIGHTS_0->SetBinContent(54,0.0); + S11_WEIGHTS_0->SetBinContent(55,0.0); + S11_WEIGHTS_0->SetBinContent(56,0.0); + S11_WEIGHTS_0->SetBinContent(57,0.0); + S11_WEIGHTS_0->SetBinContent(58,0.0); + S11_WEIGHTS_0->SetBinContent(59,0.0); + S11_WEIGHTS_0->SetBinContent(60,0.0); + S11_WEIGHTS_0->SetBinContent(61,0.0); + S11_WEIGHTS_0->SetBinContent(62,0.0); + S11_WEIGHTS_0->SetBinContent(63,0.0); + S11_WEIGHTS_0->SetBinContent(64,0.0); + S11_WEIGHTS_0->SetBinContent(65,0.0); + S11_WEIGHTS_0->SetBinContent(66,0.0); + S11_WEIGHTS_0->SetBinContent(67,0.0); + S11_WEIGHTS_0->SetBinContent(68,0.0); + S11_WEIGHTS_0->SetBinContent(69,0.0); + S11_WEIGHTS_0->SetBinContent(70,0.0); + S11_WEIGHTS_0->SetBinContent(71,0.0); + S11_WEIGHTS_0->SetBinContent(72,0.0); + S11_WEIGHTS_0->SetBinContent(73,0.0); + S11_WEIGHTS_0->SetBinContent(74,0.0); + S11_WEIGHTS_0->SetBinContent(75,0.0); + S11_WEIGHTS_0->SetBinContent(76,0.0); + S11_WEIGHTS_0->SetBinContent(77,0.0); + S11_WEIGHTS_0->SetBinContent(78,0.0); + S11_WEIGHTS_0->SetBinContent(79,0.0); + S11_WEIGHTS_0->SetBinContent(80,0.0); + S11_WEIGHTS_0->SetBinContent(81,0.0); + S11_WEIGHTS_0->SetBinContent(82,0.0); + S11_WEIGHTS_0->SetBinContent(83,0.0); + S11_WEIGHTS_0->SetBinContent(84,0.0); + S11_WEIGHTS_0->SetBinContent(85,0.0); + S11_WEIGHTS_0->SetBinContent(86,0.0); + S11_WEIGHTS_0->SetBinContent(87,0.0); + S11_WEIGHTS_0->SetBinContent(88,0.0); + S11_WEIGHTS_0->SetBinContent(89,0.0); + S11_WEIGHTS_0->SetBinContent(90,0.0); + S11_WEIGHTS_0->SetBinContent(91,0.0); + S11_WEIGHTS_0->SetBinContent(92,0.0); + S11_WEIGHTS_0->SetBinContent(93,0.0); + S11_WEIGHTS_0->SetBinContent(94,0.0); + S11_WEIGHTS_0->SetBinContent(95,0.0); + S11_WEIGHTS_0->SetBinContent(96,0.0); + S11_WEIGHTS_0->SetBinContent(97,0.0); + S11_WEIGHTS_0->SetBinContent(98,0.0); + S11_WEIGHTS_0->SetBinContent(99,0.0); + S11_WEIGHTS_0->SetBinContent(100,0.0); + S11_WEIGHTS_0->SetBinContent(101,0.0); // overflow + S11_WEIGHTS_0->SetEntries(1000); + // Style + S11_WEIGHTS_0->SetLineColor(9); + S11_WEIGHTS_0->SetLineStyle(1); + S11_WEIGHTS_0->SetLineWidth(1); + S11_WEIGHTS_0->SetFillColor(9); + S11_WEIGHTS_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_22","mystack"); + stack->Add(S11_WEIGHTS_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#omega "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_10.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_10.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_10.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_10.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_10.py new file mode 100644 index 00000000..c721ff6b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_10.py @@ -0,0 +1,62 @@ +def selection_10(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-1.0,1.0,101,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-0.99,-0.97,-0.95,-0.9299999999999999,-0.91,-0.89,-0.87,-0.85,-0.83,-0.81,-0.79,-0.77,-0.75,-0.73,-0.71,-0.69,-0.6699999999999999,-0.6499999999999999,-0.63,-0.61,-0.59,-0.5700000000000001,-0.55,-0.53,-0.51,-0.49,-0.47,-0.44999999999999996,-0.42999999999999994,-0.41000000000000003,-0.39,-0.37,-0.35,-0.32999999999999996,-0.30999999999999994,-0.29000000000000004,-0.27,-0.25,-0.22999999999999998,-0.20999999999999996,-0.18999999999999995,-0.16999999999999993,-0.15000000000000002,-0.13,-0.10999999999999999,-0.08999999999999997,-0.06999999999999995,-0.04999999999999993,-0.030000000000000027,-0.010000000000000009,0.010000000000000009,0.030000000000000027,0.050000000000000044,0.07000000000000006,0.09000000000000008,0.1100000000000001,0.13000000000000012,0.15000000000000013,0.16999999999999993,0.18999999999999995,0.20999999999999996,0.22999999999999998,0.25,0.27,0.29000000000000004,0.31000000000000005,0.33000000000000007,0.3500000000000001,0.3700000000000001,0.3900000000000001,0.4099999999999999,0.42999999999999994,0.44999999999999996,0.47,0.49,0.51,0.53,0.55,0.5700000000000001,0.5900000000000001,0.6100000000000001,0.6300000000000001,0.6500000000000001,0.6699999999999999,0.69,0.71,0.73,0.75,0.77,0.79,0.81,0.8300000000000001,0.8500000000000001,0.8700000000000001,0.8900000000000001,0.9100000000000001,0.9299999999999999,0.95,0.97,0.99]) + + # Creating weights for histo: y11_WEIGHTS_0 + y11_WEIGHTS_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.44783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y11_WEIGHTS_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\omega$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y11_WEIGHTS_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y11_WEIGHTS_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_10.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_10.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_10.eps') + +# Running! +if __name__ == '__main__': + selection_10() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_100.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_100.C new file mode 100644 index 00000000..ee6cfd31 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_100.C @@ -0,0 +1,117 @@ +void selection_100() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo201","canvas_plotflow_tempo201",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S101_E_0 = new TH1F("S101_E_0","S101_E_0",50,0.0,2000.0); + // Content + S101_E_0->SetBinContent(0,0.0); // underflow + S101_E_0->SetBinContent(1,0.0); + S101_E_0->SetBinContent(2,0.0); + S101_E_0->SetBinContent(3,0.0); + S101_E_0->SetBinContent(4,0.0); + S101_E_0->SetBinContent(5,0.0); + S101_E_0->SetBinContent(6,0.0); + S101_E_0->SetBinContent(7,0.0); + S101_E_0->SetBinContent(8,0.0); + S101_E_0->SetBinContent(9,0.0); + S101_E_0->SetBinContent(10,0.0); + S101_E_0->SetBinContent(11,0.0); + S101_E_0->SetBinContent(12,0.0); + S101_E_0->SetBinContent(13,0.0); + S101_E_0->SetBinContent(14,0.0); + S101_E_0->SetBinContent(15,0.0); + S101_E_0->SetBinContent(16,0.0); + S101_E_0->SetBinContent(17,0.0); + S101_E_0->SetBinContent(18,0.0); + S101_E_0->SetBinContent(19,0.0); + S101_E_0->SetBinContent(20,0.0); + S101_E_0->SetBinContent(21,0.0); + S101_E_0->SetBinContent(22,0.0); + S101_E_0->SetBinContent(23,0.0); + S101_E_0->SetBinContent(24,0.0); + S101_E_0->SetBinContent(25,0.0); + S101_E_0->SetBinContent(26,0.0); + S101_E_0->SetBinContent(27,0.0); + S101_E_0->SetBinContent(28,0.0); + S101_E_0->SetBinContent(29,0.0); + S101_E_0->SetBinContent(30,0.0); + S101_E_0->SetBinContent(31,0.0); + S101_E_0->SetBinContent(32,0.0); + S101_E_0->SetBinContent(33,0.0); + S101_E_0->SetBinContent(34,0.0); + S101_E_0->SetBinContent(35,0.0); + S101_E_0->SetBinContent(36,0.0); + S101_E_0->SetBinContent(37,0.0); + S101_E_0->SetBinContent(38,0.0); + S101_E_0->SetBinContent(39,0.0); + S101_E_0->SetBinContent(40,0.0); + S101_E_0->SetBinContent(41,0.0); + S101_E_0->SetBinContent(42,0.0); + S101_E_0->SetBinContent(43,0.0); + S101_E_0->SetBinContent(44,0.0); + S101_E_0->SetBinContent(45,0.0); + S101_E_0->SetBinContent(46,0.0); + S101_E_0->SetBinContent(47,0.0); + S101_E_0->SetBinContent(48,0.0); + S101_E_0->SetBinContent(49,0.0); + S101_E_0->SetBinContent(50,0.0); + S101_E_0->SetBinContent(51,0.0); // overflow + S101_E_0->SetEntries(0); + // Style + S101_E_0->SetLineColor(9); + S101_E_0->SetLineStyle(1); + S101_E_0->SetLineWidth(1); + S101_E_0->SetFillColor(9); + S101_E_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_202","mystack"); + stack->Add(S101_E_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E [ b_{2} ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_100.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_100.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_100.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_100.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_100.py new file mode 100644 index 00000000..347dda80 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_100.py @@ -0,0 +1,62 @@ +def selection_100(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y101_E_0 + y101_E_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y101_E_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E$ $[ b_{2} ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y101_E_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y101_E_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_100.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_100.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_100.eps') + +# Running! +if __name__ == '__main__': + selection_100() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_101.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_101.C new file mode 100644 index 00000000..41459a10 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_101.C @@ -0,0 +1,117 @@ +void selection_101() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo203","canvas_plotflow_tempo203",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S102_MT_MET_0 = new TH1F("S102_MT_MET_0","S102_MT_MET_0",50,0.0,1000.0); + // Content + S102_MT_MET_0->SetBinContent(0,0.0); // underflow + S102_MT_MET_0->SetBinContent(1,0.0); + S102_MT_MET_0->SetBinContent(2,0.0); + S102_MT_MET_0->SetBinContent(3,0.0); + S102_MT_MET_0->SetBinContent(4,0.0); + S102_MT_MET_0->SetBinContent(5,0.0); + S102_MT_MET_0->SetBinContent(6,0.0); + S102_MT_MET_0->SetBinContent(7,0.0); + S102_MT_MET_0->SetBinContent(8,0.0); + S102_MT_MET_0->SetBinContent(9,0.0); + S102_MT_MET_0->SetBinContent(10,0.0); + S102_MT_MET_0->SetBinContent(11,0.0); + S102_MT_MET_0->SetBinContent(12,0.0); + S102_MT_MET_0->SetBinContent(13,0.0); + S102_MT_MET_0->SetBinContent(14,0.0); + S102_MT_MET_0->SetBinContent(15,0.0); + S102_MT_MET_0->SetBinContent(16,0.0); + S102_MT_MET_0->SetBinContent(17,0.0); + S102_MT_MET_0->SetBinContent(18,0.0); + S102_MT_MET_0->SetBinContent(19,0.0); + S102_MT_MET_0->SetBinContent(20,0.0); + S102_MT_MET_0->SetBinContent(21,0.0); + S102_MT_MET_0->SetBinContent(22,0.0); + S102_MT_MET_0->SetBinContent(23,0.0); + S102_MT_MET_0->SetBinContent(24,0.0); + S102_MT_MET_0->SetBinContent(25,0.0); + S102_MT_MET_0->SetBinContent(26,0.0); + S102_MT_MET_0->SetBinContent(27,0.0); + S102_MT_MET_0->SetBinContent(28,0.0); + S102_MT_MET_0->SetBinContent(29,0.0); + S102_MT_MET_0->SetBinContent(30,0.0); + S102_MT_MET_0->SetBinContent(31,0.0); + S102_MT_MET_0->SetBinContent(32,0.0); + S102_MT_MET_0->SetBinContent(33,0.0); + S102_MT_MET_0->SetBinContent(34,0.0); + S102_MT_MET_0->SetBinContent(35,0.0); + S102_MT_MET_0->SetBinContent(36,0.0); + S102_MT_MET_0->SetBinContent(37,0.0); + S102_MT_MET_0->SetBinContent(38,0.0); + S102_MT_MET_0->SetBinContent(39,0.0); + S102_MT_MET_0->SetBinContent(40,0.0); + S102_MT_MET_0->SetBinContent(41,0.0); + S102_MT_MET_0->SetBinContent(42,0.0); + S102_MT_MET_0->SetBinContent(43,0.0); + S102_MT_MET_0->SetBinContent(44,0.0); + S102_MT_MET_0->SetBinContent(45,0.0); + S102_MT_MET_0->SetBinContent(46,0.0); + S102_MT_MET_0->SetBinContent(47,0.0); + S102_MT_MET_0->SetBinContent(48,0.0); + S102_MT_MET_0->SetBinContent(49,0.0); + S102_MT_MET_0->SetBinContent(50,0.0); + S102_MT_MET_0->SetBinContent(51,0.0); // overflow + S102_MT_MET_0->SetEntries(0); + // Style + S102_MT_MET_0->SetLineColor(9); + S102_MT_MET_0->SetLineStyle(1); + S102_MT_MET_0->SetLineWidth(1); + S102_MT_MET_0->SetFillColor(9); + S102_MT_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_204","mystack"); + stack->Add(S102_MT_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ b_{2} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_101.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_101.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_101.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_101.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_101.py new file mode 100644 index 00000000..1bfb8474 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_101.py @@ -0,0 +1,62 @@ +def selection_101(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y102_MT_MET_0 + y102_MT_MET_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y102_MT_MET_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ b_{2} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y102_MT_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y102_MT_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_101.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_101.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_101.eps') + +# Running! +if __name__ == '__main__': + selection_101() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_102.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_102.C new file mode 100644 index 00000000..27fcd560 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_102.C @@ -0,0 +1,117 @@ +void selection_102() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo205","canvas_plotflow_tempo205",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S103_M_0 = new TH1F("S103_M_0","S103_M_0",50,0.0,2000.0); + // Content + S103_M_0->SetBinContent(0,0.0); // underflow + S103_M_0->SetBinContent(1,0.0); + S103_M_0->SetBinContent(2,0.0); + S103_M_0->SetBinContent(3,0.0); + S103_M_0->SetBinContent(4,0.0); + S103_M_0->SetBinContent(5,0.0); + S103_M_0->SetBinContent(6,0.0); + S103_M_0->SetBinContent(7,0.0); + S103_M_0->SetBinContent(8,0.0); + S103_M_0->SetBinContent(9,0.0); + S103_M_0->SetBinContent(10,0.0); + S103_M_0->SetBinContent(11,0.0); + S103_M_0->SetBinContent(12,0.0); + S103_M_0->SetBinContent(13,0.0); + S103_M_0->SetBinContent(14,0.0); + S103_M_0->SetBinContent(15,0.0); + S103_M_0->SetBinContent(16,0.0); + S103_M_0->SetBinContent(17,0.0); + S103_M_0->SetBinContent(18,0.0); + S103_M_0->SetBinContent(19,0.0); + S103_M_0->SetBinContent(20,0.0); + S103_M_0->SetBinContent(21,0.0); + S103_M_0->SetBinContent(22,0.0); + S103_M_0->SetBinContent(23,0.0); + S103_M_0->SetBinContent(24,0.0); + S103_M_0->SetBinContent(25,0.0); + S103_M_0->SetBinContent(26,0.0); + S103_M_0->SetBinContent(27,0.0); + S103_M_0->SetBinContent(28,0.0); + S103_M_0->SetBinContent(29,0.0); + S103_M_0->SetBinContent(30,0.0); + S103_M_0->SetBinContent(31,0.0); + S103_M_0->SetBinContent(32,0.0); + S103_M_0->SetBinContent(33,0.0); + S103_M_0->SetBinContent(34,0.0); + S103_M_0->SetBinContent(35,0.0); + S103_M_0->SetBinContent(36,0.0); + S103_M_0->SetBinContent(37,0.0); + S103_M_0->SetBinContent(38,0.0); + S103_M_0->SetBinContent(39,0.0); + S103_M_0->SetBinContent(40,0.0); + S103_M_0->SetBinContent(41,0.0); + S103_M_0->SetBinContent(42,0.0); + S103_M_0->SetBinContent(43,0.0); + S103_M_0->SetBinContent(44,0.0); + S103_M_0->SetBinContent(45,0.0); + S103_M_0->SetBinContent(46,0.0); + S103_M_0->SetBinContent(47,0.0); + S103_M_0->SetBinContent(48,0.0); + S103_M_0->SetBinContent(49,0.0); + S103_M_0->SetBinContent(50,0.0); + S103_M_0->SetBinContent(51,0.0); // overflow + S103_M_0->SetEntries(0); + // Style + S103_M_0->SetLineColor(9); + S103_M_0->SetLineStyle(1); + S103_M_0->SetLineWidth(1); + S103_M_0->SetFillColor(9); + S103_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_206","mystack"); + stack->Add(S103_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ b_{1} b_{2} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_102.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_102.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_102.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_102.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_102.py new file mode 100644 index 00000000..02873c83 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_102.py @@ -0,0 +1,62 @@ +def selection_102(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y103_M_0 + y103_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y103_M_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ b_{1} b_{2} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y103_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y103_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_102.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_102.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_102.eps') + +# Running! +if __name__ == '__main__': + selection_102() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_103.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_103.C new file mode 100644 index 00000000..b65f0bab --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_103.C @@ -0,0 +1,117 @@ +void selection_103() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo207","canvas_plotflow_tempo207",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S104_PT_0 = new TH1F("S104_PT_0","S104_PT_0",50,0.0,2000.0); + // Content + S104_PT_0->SetBinContent(0,0.0); // underflow + S104_PT_0->SetBinContent(1,0.0); + S104_PT_0->SetBinContent(2,0.0); + S104_PT_0->SetBinContent(3,0.0); + S104_PT_0->SetBinContent(4,0.0); + S104_PT_0->SetBinContent(5,0.0); + S104_PT_0->SetBinContent(6,0.0); + S104_PT_0->SetBinContent(7,0.0); + S104_PT_0->SetBinContent(8,0.0); + S104_PT_0->SetBinContent(9,0.0); + S104_PT_0->SetBinContent(10,0.0); + S104_PT_0->SetBinContent(11,0.0); + S104_PT_0->SetBinContent(12,0.0); + S104_PT_0->SetBinContent(13,0.0); + S104_PT_0->SetBinContent(14,0.0); + S104_PT_0->SetBinContent(15,0.0); + S104_PT_0->SetBinContent(16,0.0); + S104_PT_0->SetBinContent(17,0.0); + S104_PT_0->SetBinContent(18,0.0); + S104_PT_0->SetBinContent(19,0.0); + S104_PT_0->SetBinContent(20,0.0); + S104_PT_0->SetBinContent(21,0.0); + S104_PT_0->SetBinContent(22,0.0); + S104_PT_0->SetBinContent(23,0.0); + S104_PT_0->SetBinContent(24,0.0); + S104_PT_0->SetBinContent(25,0.0); + S104_PT_0->SetBinContent(26,0.0); + S104_PT_0->SetBinContent(27,0.0); + S104_PT_0->SetBinContent(28,0.0); + S104_PT_0->SetBinContent(29,0.0); + S104_PT_0->SetBinContent(30,0.0); + S104_PT_0->SetBinContent(31,0.0); + S104_PT_0->SetBinContent(32,0.0); + S104_PT_0->SetBinContent(33,0.0); + S104_PT_0->SetBinContent(34,0.0); + S104_PT_0->SetBinContent(35,0.0); + S104_PT_0->SetBinContent(36,0.0); + S104_PT_0->SetBinContent(37,0.0); + S104_PT_0->SetBinContent(38,0.0); + S104_PT_0->SetBinContent(39,0.0); + S104_PT_0->SetBinContent(40,0.0); + S104_PT_0->SetBinContent(41,0.0); + S104_PT_0->SetBinContent(42,0.0); + S104_PT_0->SetBinContent(43,0.0); + S104_PT_0->SetBinContent(44,0.0); + S104_PT_0->SetBinContent(45,0.0); + S104_PT_0->SetBinContent(46,0.0); + S104_PT_0->SetBinContent(47,0.0); + S104_PT_0->SetBinContent(48,0.0); + S104_PT_0->SetBinContent(49,0.0); + S104_PT_0->SetBinContent(50,0.0); + S104_PT_0->SetBinContent(51,0.0); // overflow + S104_PT_0->SetEntries(0); + // Style + S104_PT_0->SetLineColor(9); + S104_PT_0->SetLineStyle(1); + S104_PT_0->SetLineWidth(1); + S104_PT_0->SetFillColor(9); + S104_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_208","mystack"); + stack->Add(S104_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ b_{1} b_{2} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_103.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_103.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_103.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_103.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_103.py new file mode 100644 index 00000000..4b27b02a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_103.py @@ -0,0 +1,62 @@ +def selection_103(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y104_PT_0 + y104_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y104_PT_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ b_{1} b_{2} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y104_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y104_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_103.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_103.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_103.eps') + +# Running! +if __name__ == '__main__': + selection_103() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_104.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_104.C new file mode 100644 index 00000000..0d98508a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_104.C @@ -0,0 +1,117 @@ +void selection_104() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo209","canvas_plotflow_tempo209",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S105_DELTAR_0 = new TH1F("S105_DELTAR_0","S105_DELTAR_0",50,0.0,10.0); + // Content + S105_DELTAR_0->SetBinContent(0,0.0); // underflow + S105_DELTAR_0->SetBinContent(1,0.0); + S105_DELTAR_0->SetBinContent(2,0.0); + S105_DELTAR_0->SetBinContent(3,0.0); + S105_DELTAR_0->SetBinContent(4,0.0); + S105_DELTAR_0->SetBinContent(5,0.0); + S105_DELTAR_0->SetBinContent(6,0.0); + S105_DELTAR_0->SetBinContent(7,0.0); + S105_DELTAR_0->SetBinContent(8,0.0); + S105_DELTAR_0->SetBinContent(9,0.0); + S105_DELTAR_0->SetBinContent(10,0.0); + S105_DELTAR_0->SetBinContent(11,0.0); + S105_DELTAR_0->SetBinContent(12,0.0); + S105_DELTAR_0->SetBinContent(13,0.0); + S105_DELTAR_0->SetBinContent(14,0.0); + S105_DELTAR_0->SetBinContent(15,0.0); + S105_DELTAR_0->SetBinContent(16,0.0); + S105_DELTAR_0->SetBinContent(17,0.0); + S105_DELTAR_0->SetBinContent(18,0.0); + S105_DELTAR_0->SetBinContent(19,0.0); + S105_DELTAR_0->SetBinContent(20,0.0); + S105_DELTAR_0->SetBinContent(21,0.0); + S105_DELTAR_0->SetBinContent(22,0.0); + S105_DELTAR_0->SetBinContent(23,0.0); + S105_DELTAR_0->SetBinContent(24,0.0); + S105_DELTAR_0->SetBinContent(25,0.0); + S105_DELTAR_0->SetBinContent(26,0.0); + S105_DELTAR_0->SetBinContent(27,0.0); + S105_DELTAR_0->SetBinContent(28,0.0); + S105_DELTAR_0->SetBinContent(29,0.0); + S105_DELTAR_0->SetBinContent(30,0.0); + S105_DELTAR_0->SetBinContent(31,0.0); + S105_DELTAR_0->SetBinContent(32,0.0); + S105_DELTAR_0->SetBinContent(33,0.0); + S105_DELTAR_0->SetBinContent(34,0.0); + S105_DELTAR_0->SetBinContent(35,0.0); + S105_DELTAR_0->SetBinContent(36,0.0); + S105_DELTAR_0->SetBinContent(37,0.0); + S105_DELTAR_0->SetBinContent(38,0.0); + S105_DELTAR_0->SetBinContent(39,0.0); + S105_DELTAR_0->SetBinContent(40,0.0); + S105_DELTAR_0->SetBinContent(41,0.0); + S105_DELTAR_0->SetBinContent(42,0.0); + S105_DELTAR_0->SetBinContent(43,0.0); + S105_DELTAR_0->SetBinContent(44,0.0); + S105_DELTAR_0->SetBinContent(45,0.0); + S105_DELTAR_0->SetBinContent(46,0.0); + S105_DELTAR_0->SetBinContent(47,0.0); + S105_DELTAR_0->SetBinContent(48,0.0); + S105_DELTAR_0->SetBinContent(49,0.0); + S105_DELTAR_0->SetBinContent(50,0.0); + S105_DELTAR_0->SetBinContent(51,0.0); // overflow + S105_DELTAR_0->SetEntries(0); + // Style + S105_DELTAR_0->SetLineColor(9); + S105_DELTAR_0->SetLineStyle(1); + S105_DELTAR_0->SetLineWidth(1); + S105_DELTAR_0->SetFillColor(9); + S105_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_210","mystack"); + stack->Add(S105_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ b_{1}, b_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_104.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_104.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_104.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_104.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_104.py new file mode 100644 index 00000000..a24efa81 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_104.py @@ -0,0 +1,62 @@ +def selection_104(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y105_DELTAR_0 + y105_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y105_DELTAR_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ b_{1}, b_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y105_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y105_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_104.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_104.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_104.eps') + +# Running! +if __name__ == '__main__': + selection_104() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_105.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_105.C new file mode 100644 index 00000000..5fc62e0e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_105.C @@ -0,0 +1,99 @@ +void selection_105() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo211","canvas_plotflow_tempo211",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S106_DPHI_0_PI_0 = new TH1F("S106_DPHI_0_PI_0","S106_DPHI_0_PI_0",32,0.0,3.2); + // Content + S106_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow + S106_DPHI_0_PI_0->SetBinContent(1,0.0); + S106_DPHI_0_PI_0->SetBinContent(2,0.0); + S106_DPHI_0_PI_0->SetBinContent(3,0.0); + S106_DPHI_0_PI_0->SetBinContent(4,0.0); + S106_DPHI_0_PI_0->SetBinContent(5,0.0); + S106_DPHI_0_PI_0->SetBinContent(6,0.0); + S106_DPHI_0_PI_0->SetBinContent(7,0.0); + S106_DPHI_0_PI_0->SetBinContent(8,0.0); + S106_DPHI_0_PI_0->SetBinContent(9,0.0); + S106_DPHI_0_PI_0->SetBinContent(10,0.0); + S106_DPHI_0_PI_0->SetBinContent(11,0.0); + S106_DPHI_0_PI_0->SetBinContent(12,0.0); + S106_DPHI_0_PI_0->SetBinContent(13,0.0); + S106_DPHI_0_PI_0->SetBinContent(14,0.0); + S106_DPHI_0_PI_0->SetBinContent(15,0.0); + S106_DPHI_0_PI_0->SetBinContent(16,0.0); + S106_DPHI_0_PI_0->SetBinContent(17,0.0); + S106_DPHI_0_PI_0->SetBinContent(18,0.0); + S106_DPHI_0_PI_0->SetBinContent(19,0.0); + S106_DPHI_0_PI_0->SetBinContent(20,0.0); + S106_DPHI_0_PI_0->SetBinContent(21,0.0); + S106_DPHI_0_PI_0->SetBinContent(22,0.0); + S106_DPHI_0_PI_0->SetBinContent(23,0.0); + S106_DPHI_0_PI_0->SetBinContent(24,0.0); + S106_DPHI_0_PI_0->SetBinContent(25,0.0); + S106_DPHI_0_PI_0->SetBinContent(26,0.0); + S106_DPHI_0_PI_0->SetBinContent(27,0.0); + S106_DPHI_0_PI_0->SetBinContent(28,0.0); + S106_DPHI_0_PI_0->SetBinContent(29,0.0); + S106_DPHI_0_PI_0->SetBinContent(30,0.0); + S106_DPHI_0_PI_0->SetBinContent(31,0.0); + S106_DPHI_0_PI_0->SetBinContent(32,0.0); + S106_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow + S106_DPHI_0_PI_0->SetEntries(0); + // Style + S106_DPHI_0_PI_0->SetLineColor(9); + S106_DPHI_0_PI_0->SetLineStyle(1); + S106_DPHI_0_PI_0->SetLineWidth(1); + S106_DPHI_0_PI_0->SetFillColor(9); + S106_DPHI_0_PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_212","mystack"); + stack->Add(S106_DPHI_0_PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ b_{1}, b_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_105.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_105.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_105.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_105.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_105.py new file mode 100644 index 00000000..915054ce --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_105.py @@ -0,0 +1,62 @@ +def selection_105(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) + + # Creating weights for histo: y106_DPHI_0_PI_0 + y106_DPHI_0_PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y106_DPHI_0_PI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ b_{1}, b_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y106_DPHI_0_PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y106_DPHI_0_PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_105.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_105.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_105.eps') + +# Running! +if __name__ == '__main__': + selection_105() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_106.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_106.C new file mode 100644 index 00000000..0a393881 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_106.C @@ -0,0 +1,99 @@ +void selection_106() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo213","canvas_plotflow_tempo213",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S107_DPHI_0_2PI_0 = new TH1F("S107_DPHI_0_2PI_0","S107_DPHI_0_2PI_0",32,0.0,6.4); + // Content + S107_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow + S107_DPHI_0_2PI_0->SetBinContent(1,0.0); + S107_DPHI_0_2PI_0->SetBinContent(2,0.0); + S107_DPHI_0_2PI_0->SetBinContent(3,0.0); + S107_DPHI_0_2PI_0->SetBinContent(4,0.0); + S107_DPHI_0_2PI_0->SetBinContent(5,0.0); + S107_DPHI_0_2PI_0->SetBinContent(6,0.0); + S107_DPHI_0_2PI_0->SetBinContent(7,0.0); + S107_DPHI_0_2PI_0->SetBinContent(8,0.0); + S107_DPHI_0_2PI_0->SetBinContent(9,0.0); + S107_DPHI_0_2PI_0->SetBinContent(10,0.0); + S107_DPHI_0_2PI_0->SetBinContent(11,0.0); + S107_DPHI_0_2PI_0->SetBinContent(12,0.0); + S107_DPHI_0_2PI_0->SetBinContent(13,0.0); + S107_DPHI_0_2PI_0->SetBinContent(14,0.0); + S107_DPHI_0_2PI_0->SetBinContent(15,0.0); + S107_DPHI_0_2PI_0->SetBinContent(16,0.0); + S107_DPHI_0_2PI_0->SetBinContent(17,0.0); + S107_DPHI_0_2PI_0->SetBinContent(18,0.0); + S107_DPHI_0_2PI_0->SetBinContent(19,0.0); + S107_DPHI_0_2PI_0->SetBinContent(20,0.0); + S107_DPHI_0_2PI_0->SetBinContent(21,0.0); + S107_DPHI_0_2PI_0->SetBinContent(22,0.0); + S107_DPHI_0_2PI_0->SetBinContent(23,0.0); + S107_DPHI_0_2PI_0->SetBinContent(24,0.0); + S107_DPHI_0_2PI_0->SetBinContent(25,0.0); + S107_DPHI_0_2PI_0->SetBinContent(26,0.0); + S107_DPHI_0_2PI_0->SetBinContent(27,0.0); + S107_DPHI_0_2PI_0->SetBinContent(28,0.0); + S107_DPHI_0_2PI_0->SetBinContent(29,0.0); + S107_DPHI_0_2PI_0->SetBinContent(30,0.0); + S107_DPHI_0_2PI_0->SetBinContent(31,0.0); + S107_DPHI_0_2PI_0->SetBinContent(32,0.0); + S107_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow + S107_DPHI_0_2PI_0->SetEntries(0); + // Style + S107_DPHI_0_2PI_0->SetLineColor(9); + S107_DPHI_0_2PI_0->SetLineStyle(1); + S107_DPHI_0_2PI_0->SetLineWidth(1); + S107_DPHI_0_2PI_0->SetFillColor(9); + S107_DPHI_0_2PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_214","mystack"); + stack->Add(S107_DPHI_0_2PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ b_{1}, b_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_106.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_106.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_106.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_106.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_106.py new file mode 100644 index 00000000..7f346cad --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_106.py @@ -0,0 +1,62 @@ +def selection_106(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) + + # Creating weights for histo: y107_DPHI_0_2PI_0 + y107_DPHI_0_2PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y107_DPHI_0_2PI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ b_{1}, b_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y107_DPHI_0_2PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y107_DPHI_0_2PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_106.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_106.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_106.eps') + +# Running! +if __name__ == '__main__': + selection_106() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_107.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_107.C new file mode 100644 index 00000000..14978f6e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_107.C @@ -0,0 +1,117 @@ +void selection_107() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo215","canvas_plotflow_tempo215",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S108_PT_0 = new TH1F("S108_PT_0","S108_PT_0",50,0.0,1000.0); + // Content + S108_PT_0->SetBinContent(0,0.0); // underflow + S108_PT_0->SetBinContent(1,0.0); + S108_PT_0->SetBinContent(2,11.46229); + S108_PT_0->SetBinContent(3,8.54265); + S108_PT_0->SetBinContent(4,5.499427); + S108_PT_0->SetBinContent(5,2.610683); + S108_PT_0->SetBinContent(6,1.266722); + S108_PT_0->SetBinContent(7,0.6951523); + S108_PT_0->SetBinContent(8,0.4479871); + S108_PT_0->SetBinContent(9,0.1235826); + S108_PT_0->SetBinContent(10,0.1235826); + S108_PT_0->SetBinContent(11,0.06179132); + S108_PT_0->SetBinContent(12,0.01544783); + S108_PT_0->SetBinContent(13,0.0); + S108_PT_0->SetBinContent(14,0.01544783); + S108_PT_0->SetBinContent(15,0.01544783); + S108_PT_0->SetBinContent(16,0.01544783); + S108_PT_0->SetBinContent(17,0.0); + S108_PT_0->SetBinContent(18,0.0); + S108_PT_0->SetBinContent(19,0.0); + S108_PT_0->SetBinContent(20,0.0); + S108_PT_0->SetBinContent(21,0.0); + S108_PT_0->SetBinContent(22,0.0); + S108_PT_0->SetBinContent(23,0.0); + S108_PT_0->SetBinContent(24,0.0); + S108_PT_0->SetBinContent(25,0.0); + S108_PT_0->SetBinContent(26,0.0); + S108_PT_0->SetBinContent(27,0.0); + S108_PT_0->SetBinContent(28,0.0); + S108_PT_0->SetBinContent(29,0.0); + S108_PT_0->SetBinContent(30,0.0); + S108_PT_0->SetBinContent(31,0.0); + S108_PT_0->SetBinContent(32,0.0); + S108_PT_0->SetBinContent(33,0.0); + S108_PT_0->SetBinContent(34,0.0); + S108_PT_0->SetBinContent(35,0.0); + S108_PT_0->SetBinContent(36,0.0); + S108_PT_0->SetBinContent(37,0.0); + S108_PT_0->SetBinContent(38,0.0); + S108_PT_0->SetBinContent(39,0.0); + S108_PT_0->SetBinContent(40,0.0); + S108_PT_0->SetBinContent(41,0.0); + S108_PT_0->SetBinContent(42,0.0); + S108_PT_0->SetBinContent(43,0.0); + S108_PT_0->SetBinContent(44,0.0); + S108_PT_0->SetBinContent(45,0.0); + S108_PT_0->SetBinContent(46,0.0); + S108_PT_0->SetBinContent(47,0.0); + S108_PT_0->SetBinContent(48,0.0); + S108_PT_0->SetBinContent(49,0.0); + S108_PT_0->SetBinContent(50,0.0); + S108_PT_0->SetBinContent(51,0.0); // overflow + S108_PT_0->SetEntries(2000); + // Style + S108_PT_0->SetLineColor(9); + S108_PT_0->SetLineStyle(1); + S108_PT_0->SetLineWidth(1); + S108_PT_0->SetFillColor(9); + S108_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_216","mystack"); + stack->Add(S108_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ j ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_107.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_107.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_107.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_107.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_107.py new file mode 100644 index 00000000..04ab2b7a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_107.py @@ -0,0 +1,62 @@ +def selection_107(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y108_PT_0 + y108_PT_0_weights = numpy.array([0.0,11.46229,8.54265,5.499427,2.610683,1.266722,0.6951523,0.4479871,0.1235826,0.1235826,0.06179132,0.01544783,0.0,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y108_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ j ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y108_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y108_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_107.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_107.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_107.eps') + +# Running! +if __name__ == '__main__': + selection_107() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_108.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_108.C new file mode 100644 index 00000000..851aff79 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_108.C @@ -0,0 +1,117 @@ +void selection_108() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo217","canvas_plotflow_tempo217",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S109_ETA_0 = new TH1F("S109_ETA_0","S109_ETA_0",50,-8.0,8.0); + // Content + S109_ETA_0->SetBinContent(0,0.0); // underflow + S109_ETA_0->SetBinContent(1,0.0); + S109_ETA_0->SetBinContent(2,0.0); + S109_ETA_0->SetBinContent(3,0.0); + S109_ETA_0->SetBinContent(4,0.0); + S109_ETA_0->SetBinContent(5,0.0); + S109_ETA_0->SetBinContent(6,0.0); + S109_ETA_0->SetBinContent(7,0.0); + S109_ETA_0->SetBinContent(8,0.0); + S109_ETA_0->SetBinContent(9,0.0); + S109_ETA_0->SetBinContent(10,0.0); + S109_ETA_0->SetBinContent(11,0.0); + S109_ETA_0->SetBinContent(12,0.0); + S109_ETA_0->SetBinContent(13,0.0); + S109_ETA_0->SetBinContent(14,0.0); + S109_ETA_0->SetBinContent(15,0.06179132); + S109_ETA_0->SetBinContent(16,0.1235826); + S109_ETA_0->SetBinContent(17,0.1544783); + S109_ETA_0->SetBinContent(18,0.4788827); + S109_ETA_0->SetBinContent(19,0.8496306); + S109_ETA_0->SetBinContent(20,1.112244); + S109_ETA_0->SetBinContent(21,1.745605); + S109_ETA_0->SetBinContent(22,1.884635); + S109_ETA_0->SetBinContent(23,2.873296); + S109_ETA_0->SetBinContent(24,2.888744); + S109_ETA_0->SetBinContent(25,3.166805); + S109_ETA_0->SetBinContent(26,3.336731); + S109_ETA_0->SetBinContent(27,2.657027); + S109_ETA_0->SetBinContent(28,2.425309); + S109_ETA_0->SetBinContent(29,2.085457); + S109_ETA_0->SetBinContent(30,1.85374); + S109_ETA_0->SetBinContent(31,1.390305); + S109_ETA_0->SetBinContent(32,0.818735); + S109_ETA_0->SetBinContent(33,0.4325392); + S109_ETA_0->SetBinContent(34,0.4479871); + S109_ETA_0->SetBinContent(35,0.09268698); + S109_ETA_0->SetBinContent(36,0.01544783); + S109_ETA_0->SetBinContent(37,0.0); + S109_ETA_0->SetBinContent(38,0.0); + S109_ETA_0->SetBinContent(39,0.0); + S109_ETA_0->SetBinContent(40,0.0); + S109_ETA_0->SetBinContent(41,0.0); + S109_ETA_0->SetBinContent(42,0.0); + S109_ETA_0->SetBinContent(43,0.0); + S109_ETA_0->SetBinContent(44,0.0); + S109_ETA_0->SetBinContent(45,0.0); + S109_ETA_0->SetBinContent(46,0.0); + S109_ETA_0->SetBinContent(47,0.0); + S109_ETA_0->SetBinContent(48,0.0); + S109_ETA_0->SetBinContent(49,0.0); + S109_ETA_0->SetBinContent(50,0.0); + S109_ETA_0->SetBinContent(51,0.0); // overflow + S109_ETA_0->SetEntries(2000); + // Style + S109_ETA_0->SetLineColor(9); + S109_ETA_0->SetLineStyle(1); + S109_ETA_0->SetLineWidth(1); + S109_ETA_0->SetFillColor(9); + S109_ETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_218","mystack"); + stack->Add(S109_ETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#eta [ j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_108.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_108.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_108.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_108.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_108.py new file mode 100644 index 00000000..cd7c230e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_108.py @@ -0,0 +1,62 @@ +def selection_108(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y109_ETA_0 + y109_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06179132,0.1235826,0.1544783,0.4788827,0.8496306,1.112244,1.745605,1.884635,2.873296,2.888744,3.166805,3.336731,2.657027,2.425309,2.085457,1.85374,1.390305,0.818735,0.4325392,0.4479871,0.09268698,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y109_ETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\eta$ $[ j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y109_ETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y109_ETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_108.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_108.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_108.eps') + +# Running! +if __name__ == '__main__': + selection_108() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_109.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_109.C new file mode 100644 index 00000000..16301219 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_109.C @@ -0,0 +1,117 @@ +void selection_109() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo219","canvas_plotflow_tempo219",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S110_ABSETA_0 = new TH1F("S110_ABSETA_0","S110_ABSETA_0",50,0.0,8.0); + // Content + S110_ABSETA_0->SetBinContent(0,0.0); // underflow + S110_ABSETA_0->SetBinContent(1,3.27494); + S110_ABSETA_0->SetBinContent(2,3.228596); + S110_ABSETA_0->SetBinContent(3,2.826953); + S110_ABSETA_0->SetBinContent(4,2.718818); + S110_ABSETA_0->SetBinContent(5,2.734266); + S110_ABSETA_0->SetBinContent(6,2.56434); + S110_ABSETA_0->SetBinContent(7,1.915531); + S110_ABSETA_0->SetBinContent(8,2.054561); + S110_ABSETA_0->SetBinContent(9,1.930979); + S110_ABSETA_0->SetBinContent(10,1.668366); + S110_ABSETA_0->SetBinContent(11,1.328513); + S110_ABSETA_0->SetBinContent(12,1.174035); + S110_ABSETA_0->SetBinContent(13,1.019557); + S110_ABSETA_0->SetBinContent(14,0.6488089); + S110_ABSETA_0->SetBinContent(15,0.5715697); + S110_ABSETA_0->SetBinContent(16,0.3398523); + S110_ABSETA_0->SetBinContent(17,0.3553001); + S110_ABSETA_0->SetBinContent(18,0.2471653); + S110_ABSETA_0->SetBinContent(19,0.1699261); + S110_ABSETA_0->SetBinContent(20,0.04634349); + S110_ABSETA_0->SetBinContent(21,0.06179132); + S110_ABSETA_0->SetBinContent(22,0.01544783); + S110_ABSETA_0->SetBinContent(23,0.0); + S110_ABSETA_0->SetBinContent(24,0.0); + S110_ABSETA_0->SetBinContent(25,0.0); + S110_ABSETA_0->SetBinContent(26,0.0); + S110_ABSETA_0->SetBinContent(27,0.0); + S110_ABSETA_0->SetBinContent(28,0.0); + S110_ABSETA_0->SetBinContent(29,0.0); + S110_ABSETA_0->SetBinContent(30,0.0); + S110_ABSETA_0->SetBinContent(31,0.0); + S110_ABSETA_0->SetBinContent(32,0.0); + S110_ABSETA_0->SetBinContent(33,0.0); + S110_ABSETA_0->SetBinContent(34,0.0); + S110_ABSETA_0->SetBinContent(35,0.0); + S110_ABSETA_0->SetBinContent(36,0.0); + S110_ABSETA_0->SetBinContent(37,0.0); + S110_ABSETA_0->SetBinContent(38,0.0); + S110_ABSETA_0->SetBinContent(39,0.0); + S110_ABSETA_0->SetBinContent(40,0.0); + S110_ABSETA_0->SetBinContent(41,0.0); + S110_ABSETA_0->SetBinContent(42,0.0); + S110_ABSETA_0->SetBinContent(43,0.0); + S110_ABSETA_0->SetBinContent(44,0.0); + S110_ABSETA_0->SetBinContent(45,0.0); + S110_ABSETA_0->SetBinContent(46,0.0); + S110_ABSETA_0->SetBinContent(47,0.0); + S110_ABSETA_0->SetBinContent(48,0.0); + S110_ABSETA_0->SetBinContent(49,0.0); + S110_ABSETA_0->SetBinContent(50,0.0); + S110_ABSETA_0->SetBinContent(51,0.0); // overflow + S110_ABSETA_0->SetEntries(2000); + // Style + S110_ABSETA_0->SetLineColor(9); + S110_ABSETA_0->SetLineStyle(1); + S110_ABSETA_0->SetLineWidth(1); + S110_ABSETA_0->SetFillColor(9); + S110_ABSETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_220","mystack"); + stack->Add(S110_ABSETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("|#eta| [ j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_109.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_109.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_109.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_109.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_109.py new file mode 100644 index 00000000..cb121cf2 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_109.py @@ -0,0 +1,62 @@ +def selection_109(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.08,0.24,0.4,0.56,0.72,0.88,1.04,1.2,1.36,1.52,1.68,1.84,2.0,2.16,2.32,2.48,2.64,2.8000000000000003,2.96,3.12,3.2800000000000002,3.44,3.6,3.7600000000000002,3.92,4.08,4.24,4.4,4.5600000000000005,4.72,4.88,5.04,5.2,5.36,5.5200000000000005,5.68,5.84,6.0,6.16,6.32,6.48,6.640000000000001,6.8,6.96,7.12,7.28,7.44,7.6000000000000005,7.76,7.92]) + + # Creating weights for histo: y110_ABSETA_0 + y110_ABSETA_0_weights = numpy.array([3.27494,3.228596,2.826953,2.718818,2.734266,2.56434,1.915531,2.054561,1.930979,1.668366,1.328513,1.174035,1.019557,0.6488089,0.5715697,0.3398523,0.3553001,0.2471653,0.1699261,0.04634349,0.06179132,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y110_ABSETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$|\eta|$ $[ j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y110_ABSETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y110_ABSETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_109.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_109.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_109.eps') + +# Running! +if __name__ == '__main__': + selection_109() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_11.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_11.C new file mode 100644 index 00000000..584fbcb3 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_11.C @@ -0,0 +1,117 @@ +void selection_11() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo23","canvas_plotflow_tempo23",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S12_PT_0 = new TH1F("S12_PT_0","S12_PT_0",50,0.0,1000.0); + // Content + S12_PT_0->SetBinContent(0,0.0); // underflow + S12_PT_0->SetBinContent(1,1.158587); + S12_PT_0->SetBinContent(2,2.657027); + S12_PT_0->SetBinContent(3,1.869187); + S12_PT_0->SetBinContent(4,1.004109); + S12_PT_0->SetBinContent(5,0.5252262); + S12_PT_0->SetBinContent(6,0.2471653); + S12_PT_0->SetBinContent(7,0.1235826); + S12_PT_0->SetBinContent(8,0.06179132); + S12_PT_0->SetBinContent(9,0.04634349); + S12_PT_0->SetBinContent(10,0.07723915); + S12_PT_0->SetBinContent(11,0.0); + S12_PT_0->SetBinContent(12,0.0); + S12_PT_0->SetBinContent(13,0.0); + S12_PT_0->SetBinContent(14,0.01544783); + S12_PT_0->SetBinContent(15,0.01544783); + S12_PT_0->SetBinContent(16,0.0); + S12_PT_0->SetBinContent(17,0.01544783); + S12_PT_0->SetBinContent(18,0.0); + S12_PT_0->SetBinContent(19,0.0); + S12_PT_0->SetBinContent(20,0.0); + S12_PT_0->SetBinContent(21,0.0); + S12_PT_0->SetBinContent(22,0.0); + S12_PT_0->SetBinContent(23,0.0); + S12_PT_0->SetBinContent(24,0.0); + S12_PT_0->SetBinContent(25,0.0); + S12_PT_0->SetBinContent(26,0.0); + S12_PT_0->SetBinContent(27,0.0); + S12_PT_0->SetBinContent(28,0.0); + S12_PT_0->SetBinContent(29,0.0); + S12_PT_0->SetBinContent(30,0.0); + S12_PT_0->SetBinContent(31,0.0); + S12_PT_0->SetBinContent(32,0.0); + S12_PT_0->SetBinContent(33,0.0); + S12_PT_0->SetBinContent(34,0.0); + S12_PT_0->SetBinContent(35,0.0); + S12_PT_0->SetBinContent(36,0.0); + S12_PT_0->SetBinContent(37,0.0); + S12_PT_0->SetBinContent(38,0.0); + S12_PT_0->SetBinContent(39,0.0); + S12_PT_0->SetBinContent(40,0.0); + S12_PT_0->SetBinContent(41,0.0); + S12_PT_0->SetBinContent(42,0.0); + S12_PT_0->SetBinContent(43,0.0); + S12_PT_0->SetBinContent(44,0.0); + S12_PT_0->SetBinContent(45,0.0); + S12_PT_0->SetBinContent(46,0.0); + S12_PT_0->SetBinContent(47,0.0); + S12_PT_0->SetBinContent(48,0.0); + S12_PT_0->SetBinContent(49,0.0); + S12_PT_0->SetBinContent(50,0.0); + S12_PT_0->SetBinContent(51,0.0); // overflow + S12_PT_0->SetEntries(506); + // Style + S12_PT_0->SetLineColor(9); + S12_PT_0->SetLineStyle(1); + S12_PT_0->SetLineWidth(1); + S12_PT_0->SetFillColor(9); + S12_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_24","mystack"); + stack->Add(S12_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ e ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_11.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_11.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_11.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_11.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_11.py new file mode 100644 index 00000000..bcb1b390 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_11.py @@ -0,0 +1,62 @@ +def selection_11(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y12_PT_0 + y12_PT_0_weights = numpy.array([1.158587,2.657027,1.869187,1.004109,0.5252262,0.2471653,0.1235826,0.06179132,0.04634349,0.07723915,0.0,0.0,0.0,0.01544783,0.01544783,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ e ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y12_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y12_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_11.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_11.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_11.eps') + +# Running! +if __name__ == '__main__': + selection_11() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_110.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_110.C new file mode 100644 index 00000000..f206dd5f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_110.C @@ -0,0 +1,99 @@ +void selection_110() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo221","canvas_plotflow_tempo221",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S111_PHI_0 = new TH1F("S111_PHI_0","S111_PHI_0",32,-3.2,3.2); + // Content + S111_PHI_0->SetBinContent(0,0.0); // underflow + S111_PHI_0->SetBinContent(1,0.6951523); + S111_PHI_0->SetBinContent(2,1.019557); + S111_PHI_0->SetBinContent(3,0.911422); + S111_PHI_0->SetBinContent(4,0.911422); + S111_PHI_0->SetBinContent(5,0.8650785); + S111_PHI_0->SetBinContent(6,0.7414958); + S111_PHI_0->SetBinContent(7,1.220379); + S111_PHI_0->SetBinContent(8,1.220379); + S111_PHI_0->SetBinContent(9,0.9732133); + S111_PHI_0->SetBinContent(10,0.9423176); + S111_PHI_0->SetBinContent(11,0.9423176); + S111_PHI_0->SetBinContent(12,0.8805263); + S111_PHI_0->SetBinContent(13,0.8496306); + S111_PHI_0->SetBinContent(14,0.9886611); + S111_PHI_0->SetBinContent(15,0.8805263); + S111_PHI_0->SetBinContent(16,0.9732133); + S111_PHI_0->SetBinContent(17,0.8496306); + S111_PHI_0->SetBinContent(18,1.019557); + S111_PHI_0->SetBinContent(19,0.8496306); + S111_PHI_0->SetBinContent(20,0.9886611); + S111_PHI_0->SetBinContent(21,0.8341828); + S111_PHI_0->SetBinContent(22,0.9577655); + S111_PHI_0->SetBinContent(23,1.0659); + S111_PHI_0->SetBinContent(24,0.8959741); + S111_PHI_0->SetBinContent(25,1.035005); + S111_PHI_0->SetBinContent(26,0.9732133); + S111_PHI_0->SetBinContent(27,1.050452); + S111_PHI_0->SetBinContent(28,1.158587); + S111_PHI_0->SetBinContent(29,1.127692); + S111_PHI_0->SetBinContent(30,1.174035); + S111_PHI_0->SetBinContent(31,0.9732133); + S111_PHI_0->SetBinContent(32,0.9268698); + S111_PHI_0->SetBinContent(33,0.0); // overflow + S111_PHI_0->SetEntries(2000); + // Style + S111_PHI_0->SetLineColor(9); + S111_PHI_0->SetLineStyle(1); + S111_PHI_0->SetLineWidth(1); + S111_PHI_0->SetFillColor(9); + S111_PHI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_222","mystack"); + stack->Add(S111_PHI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#phi [ j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_110.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_110.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_110.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_110.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_110.py new file mode 100644 index 00000000..b147d5b3 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_110.py @@ -0,0 +1,62 @@ +def selection_110(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) + + # Creating weights for histo: y111_PHI_0 + y111_PHI_0_weights = numpy.array([0.6951523,1.019557,0.911422,0.911422,0.8650785,0.7414958,1.220379,1.220379,0.9732133,0.9423176,0.9423176,0.8805263,0.8496306,0.9886611,0.8805263,0.9732133,0.8496306,1.019557,0.8496306,0.9886611,0.8341828,0.9577655,1.0659,0.8959741,1.035005,0.9732133,1.050452,1.158587,1.127692,1.174035,0.9732133,0.9268698]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y111_PHI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\phi$ $[ j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y111_PHI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y111_PHI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_110.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_110.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_110.eps') + +# Running! +if __name__ == '__main__': + selection_110() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_111.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_111.C new file mode 100644 index 00000000..48cdf195 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_111.C @@ -0,0 +1,117 @@ +void selection_111() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo223","canvas_plotflow_tempo223",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S112_E_0 = new TH1F("S112_E_0","S112_E_0",50,0.0,2000.0); + // Content + S112_E_0->SetBinContent(0,0.0); // underflow + S112_E_0->SetBinContent(1,4.55711); + S112_E_0->SetBinContent(2,11.47774); + S112_E_0->SetBinContent(3,6.086445); + S112_E_0->SetBinContent(4,3.583897); + S112_E_0->SetBinContent(5,1.838292); + S112_E_0->SetBinContent(6,1.158587); + S112_E_0->SetBinContent(7,0.6951523); + S112_E_0->SetBinContent(8,0.5561219); + S112_E_0->SetBinContent(9,0.2780609); + S112_E_0->SetBinContent(10,0.1699261); + S112_E_0->SetBinContent(11,0.185374); + S112_E_0->SetBinContent(12,0.1390305); + S112_E_0->SetBinContent(13,0.04634349); + S112_E_0->SetBinContent(14,0.01544783); + S112_E_0->SetBinContent(15,0.04634349); + S112_E_0->SetBinContent(16,0.03089566); + S112_E_0->SetBinContent(17,0.0); + S112_E_0->SetBinContent(18,0.0); + S112_E_0->SetBinContent(19,0.0); + S112_E_0->SetBinContent(20,0.03089566); + S112_E_0->SetBinContent(21,0.0); + S112_E_0->SetBinContent(22,0.0); + S112_E_0->SetBinContent(23,0.0); + S112_E_0->SetBinContent(24,0.0); + S112_E_0->SetBinContent(25,0.0); + S112_E_0->SetBinContent(26,0.0); + S112_E_0->SetBinContent(27,0.0); + S112_E_0->SetBinContent(28,0.0); + S112_E_0->SetBinContent(29,0.0); + S112_E_0->SetBinContent(30,0.0); + S112_E_0->SetBinContent(31,0.0); + S112_E_0->SetBinContent(32,0.0); + S112_E_0->SetBinContent(33,0.0); + S112_E_0->SetBinContent(34,0.0); + S112_E_0->SetBinContent(35,0.0); + S112_E_0->SetBinContent(36,0.0); + S112_E_0->SetBinContent(37,0.0); + S112_E_0->SetBinContent(38,0.0); + S112_E_0->SetBinContent(39,0.0); + S112_E_0->SetBinContent(40,0.0); + S112_E_0->SetBinContent(41,0.0); + S112_E_0->SetBinContent(42,0.0); + S112_E_0->SetBinContent(43,0.0); + S112_E_0->SetBinContent(44,0.0); + S112_E_0->SetBinContent(45,0.0); + S112_E_0->SetBinContent(46,0.0); + S112_E_0->SetBinContent(47,0.0); + S112_E_0->SetBinContent(48,0.0); + S112_E_0->SetBinContent(49,0.0); + S112_E_0->SetBinContent(50,0.0); + S112_E_0->SetBinContent(51,0.0); // overflow + S112_E_0->SetEntries(2000); + // Style + S112_E_0->SetLineColor(9); + S112_E_0->SetLineStyle(1); + S112_E_0->SetLineWidth(1); + S112_E_0->SetFillColor(9); + S112_E_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_224","mystack"); + stack->Add(S112_E_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E [ j ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_111.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_111.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_111.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_111.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_111.py new file mode 100644 index 00000000..1622820e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_111.py @@ -0,0 +1,62 @@ +def selection_111(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y112_E_0 + y112_E_0_weights = numpy.array([4.55711,11.47774,6.086445,3.583897,1.838292,1.158587,0.6951523,0.5561219,0.2780609,0.1699261,0.185374,0.1390305,0.04634349,0.01544783,0.04634349,0.03089566,0.0,0.0,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y112_E_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E$ $[ j ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y112_E_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y112_E_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_111.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_111.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_111.eps') + +# Running! +if __name__ == '__main__': + selection_111() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_112.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_112.C new file mode 100644 index 00000000..c000d64c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_112.C @@ -0,0 +1,117 @@ +void selection_112() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo225","canvas_plotflow_tempo225",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S113_ET_0 = new TH1F("S113_ET_0","S113_ET_0",50,0.0,2000.0); + // Content + S113_ET_0->SetBinContent(0,0.0); // underflow + S113_ET_0->SetBinContent(1,11.46229); + S113_ET_0->SetBinContent(2,14.04208); + S113_ET_0->SetBinContent(3,3.877405); + S113_ET_0->SetBinContent(4,1.143139); + S113_ET_0->SetBinContent(5,0.2471653); + S113_ET_0->SetBinContent(6,0.07723915); + S113_ET_0->SetBinContent(7,0.01544783); + S113_ET_0->SetBinContent(8,0.03089566); + S113_ET_0->SetBinContent(9,0.0); + S113_ET_0->SetBinContent(10,0.0); + S113_ET_0->SetBinContent(11,0.0); + S113_ET_0->SetBinContent(12,0.0); + S113_ET_0->SetBinContent(13,0.0); + S113_ET_0->SetBinContent(14,0.0); + S113_ET_0->SetBinContent(15,0.0); + S113_ET_0->SetBinContent(16,0.0); + S113_ET_0->SetBinContent(17,0.0); + S113_ET_0->SetBinContent(18,0.0); + S113_ET_0->SetBinContent(19,0.0); + S113_ET_0->SetBinContent(20,0.0); + S113_ET_0->SetBinContent(21,0.0); + S113_ET_0->SetBinContent(22,0.0); + S113_ET_0->SetBinContent(23,0.0); + S113_ET_0->SetBinContent(24,0.0); + S113_ET_0->SetBinContent(25,0.0); + S113_ET_0->SetBinContent(26,0.0); + S113_ET_0->SetBinContent(27,0.0); + S113_ET_0->SetBinContent(28,0.0); + S113_ET_0->SetBinContent(29,0.0); + S113_ET_0->SetBinContent(30,0.0); + S113_ET_0->SetBinContent(31,0.0); + S113_ET_0->SetBinContent(32,0.0); + S113_ET_0->SetBinContent(33,0.0); + S113_ET_0->SetBinContent(34,0.0); + S113_ET_0->SetBinContent(35,0.0); + S113_ET_0->SetBinContent(36,0.0); + S113_ET_0->SetBinContent(37,0.0); + S113_ET_0->SetBinContent(38,0.0); + S113_ET_0->SetBinContent(39,0.0); + S113_ET_0->SetBinContent(40,0.0); + S113_ET_0->SetBinContent(41,0.0); + S113_ET_0->SetBinContent(42,0.0); + S113_ET_0->SetBinContent(43,0.0); + S113_ET_0->SetBinContent(44,0.0); + S113_ET_0->SetBinContent(45,0.0); + S113_ET_0->SetBinContent(46,0.0); + S113_ET_0->SetBinContent(47,0.0); + S113_ET_0->SetBinContent(48,0.0); + S113_ET_0->SetBinContent(49,0.0); + S113_ET_0->SetBinContent(50,0.0); + S113_ET_0->SetBinContent(51,0.0); // overflow + S113_ET_0->SetEntries(2000); + // Style + S113_ET_0->SetLineColor(9); + S113_ET_0->SetLineStyle(1); + S113_ET_0->SetLineWidth(1); + S113_ET_0->SetFillColor(9); + S113_ET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_226","mystack"); + stack->Add(S113_ET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E_{T} [ j ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_112.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_112.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_112.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_112.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_112.py new file mode 100644 index 00000000..e0b6dbad --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_112.py @@ -0,0 +1,62 @@ +def selection_112(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y113_ET_0 + y113_ET_0_weights = numpy.array([11.46229,14.04208,3.877405,1.143139,0.2471653,0.07723915,0.01544783,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y113_ET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E_{T}$ $[ j ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y113_ET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y113_ET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_112.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_112.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_112.eps') + +# Running! +if __name__ == '__main__': + selection_112() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_113.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_113.C new file mode 100644 index 00000000..a5f35b39 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_113.C @@ -0,0 +1,117 @@ +void selection_113() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo227","canvas_plotflow_tempo227",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S114_M_0 = new TH1F("S114_M_0","S114_M_0",50,0.0,200.0); + // Content + S114_M_0->SetBinContent(0,15.72589); // underflow + S114_M_0->SetBinContent(1,15.16977); + S114_M_0->SetBinContent(2,0.0); + S114_M_0->SetBinContent(3,0.0); + S114_M_0->SetBinContent(4,0.0); + S114_M_0->SetBinContent(5,0.0); + S114_M_0->SetBinContent(6,0.0); + S114_M_0->SetBinContent(7,0.0); + S114_M_0->SetBinContent(8,0.0); + S114_M_0->SetBinContent(9,0.0); + S114_M_0->SetBinContent(10,0.0); + S114_M_0->SetBinContent(11,0.0); + S114_M_0->SetBinContent(12,0.0); + S114_M_0->SetBinContent(13,0.0); + S114_M_0->SetBinContent(14,0.0); + S114_M_0->SetBinContent(15,0.0); + S114_M_0->SetBinContent(16,0.0); + S114_M_0->SetBinContent(17,0.0); + S114_M_0->SetBinContent(18,0.0); + S114_M_0->SetBinContent(19,0.0); + S114_M_0->SetBinContent(20,0.0); + S114_M_0->SetBinContent(21,0.0); + S114_M_0->SetBinContent(22,0.0); + S114_M_0->SetBinContent(23,0.0); + S114_M_0->SetBinContent(24,0.0); + S114_M_0->SetBinContent(25,0.0); + S114_M_0->SetBinContent(26,0.0); + S114_M_0->SetBinContent(27,0.0); + S114_M_0->SetBinContent(28,0.0); + S114_M_0->SetBinContent(29,0.0); + S114_M_0->SetBinContent(30,0.0); + S114_M_0->SetBinContent(31,0.0); + S114_M_0->SetBinContent(32,0.0); + S114_M_0->SetBinContent(33,0.0); + S114_M_0->SetBinContent(34,0.0); + S114_M_0->SetBinContent(35,0.0); + S114_M_0->SetBinContent(36,0.0); + S114_M_0->SetBinContent(37,0.0); + S114_M_0->SetBinContent(38,0.0); + S114_M_0->SetBinContent(39,0.0); + S114_M_0->SetBinContent(40,0.0); + S114_M_0->SetBinContent(41,0.0); + S114_M_0->SetBinContent(42,0.0); + S114_M_0->SetBinContent(43,0.0); + S114_M_0->SetBinContent(44,0.0); + S114_M_0->SetBinContent(45,0.0); + S114_M_0->SetBinContent(46,0.0); + S114_M_0->SetBinContent(47,0.0); + S114_M_0->SetBinContent(48,0.0); + S114_M_0->SetBinContent(49,0.0); + S114_M_0->SetBinContent(50,0.0); + S114_M_0->SetBinContent(51,0.0); // overflow + S114_M_0->SetEntries(2000); + // Style + S114_M_0->SetLineColor(9); + S114_M_0->SetLineStyle(1); + S114_M_0->SetLineWidth(1); + S114_M_0->SetFillColor(9); + S114_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_228","mystack"); + stack->Add(S114_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ j ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_113.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_113.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_113.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_113.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_113.py new file mode 100644 index 00000000..8d67e408 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_113.py @@ -0,0 +1,62 @@ +def selection_113(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,200.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([2.0,6.0,10.0,14.0,18.0,22.0,26.0,30.0,34.0,38.0,42.0,46.0,50.0,54.0,58.0,62.0,66.0,70.0,74.0,78.0,82.0,86.0,90.0,94.0,98.0,102.0,106.0,110.0,114.0,118.0,122.0,126.0,130.0,134.0,138.0,142.0,146.0,150.0,154.0,158.0,162.0,166.0,170.0,174.0,178.0,182.0,186.0,190.0,194.0,198.0]) + + # Creating weights for histo: y114_M_0 + y114_M_0_weights = numpy.array([15.16977,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y114_M_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ j ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y114_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y114_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_113.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_113.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_113.eps') + +# Running! +if __name__ == '__main__': + selection_113() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_114.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_114.C new file mode 100644 index 00000000..e68271c0 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_114.C @@ -0,0 +1,117 @@ +void selection_114() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo229","canvas_plotflow_tempo229",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S115_MT_0 = new TH1F("S115_MT_0","S115_MT_0",50,0.0,1000.0); + // Content + S115_MT_0->SetBinContent(0,0.0); // underflow + S115_MT_0->SetBinContent(1,30.89566); + S115_MT_0->SetBinContent(2,0.0); + S115_MT_0->SetBinContent(3,0.0); + S115_MT_0->SetBinContent(4,0.0); + S115_MT_0->SetBinContent(5,0.0); + S115_MT_0->SetBinContent(6,0.0); + S115_MT_0->SetBinContent(7,0.0); + S115_MT_0->SetBinContent(8,0.0); + S115_MT_0->SetBinContent(9,0.0); + S115_MT_0->SetBinContent(10,0.0); + S115_MT_0->SetBinContent(11,0.0); + S115_MT_0->SetBinContent(12,0.0); + S115_MT_0->SetBinContent(13,0.0); + S115_MT_0->SetBinContent(14,0.0); + S115_MT_0->SetBinContent(15,0.0); + S115_MT_0->SetBinContent(16,0.0); + S115_MT_0->SetBinContent(17,0.0); + S115_MT_0->SetBinContent(18,0.0); + S115_MT_0->SetBinContent(19,0.0); + S115_MT_0->SetBinContent(20,0.0); + S115_MT_0->SetBinContent(21,0.0); + S115_MT_0->SetBinContent(22,0.0); + S115_MT_0->SetBinContent(23,0.0); + S115_MT_0->SetBinContent(24,0.0); + S115_MT_0->SetBinContent(25,0.0); + S115_MT_0->SetBinContent(26,0.0); + S115_MT_0->SetBinContent(27,0.0); + S115_MT_0->SetBinContent(28,0.0); + S115_MT_0->SetBinContent(29,0.0); + S115_MT_0->SetBinContent(30,0.0); + S115_MT_0->SetBinContent(31,0.0); + S115_MT_0->SetBinContent(32,0.0); + S115_MT_0->SetBinContent(33,0.0); + S115_MT_0->SetBinContent(34,0.0); + S115_MT_0->SetBinContent(35,0.0); + S115_MT_0->SetBinContent(36,0.0); + S115_MT_0->SetBinContent(37,0.0); + S115_MT_0->SetBinContent(38,0.0); + S115_MT_0->SetBinContent(39,0.0); + S115_MT_0->SetBinContent(40,0.0); + S115_MT_0->SetBinContent(41,0.0); + S115_MT_0->SetBinContent(42,0.0); + S115_MT_0->SetBinContent(43,0.0); + S115_MT_0->SetBinContent(44,0.0); + S115_MT_0->SetBinContent(45,0.0); + S115_MT_0->SetBinContent(46,0.0); + S115_MT_0->SetBinContent(47,0.0); + S115_MT_0->SetBinContent(48,0.0); + S115_MT_0->SetBinContent(49,0.0); + S115_MT_0->SetBinContent(50,0.0); + S115_MT_0->SetBinContent(51,0.0); // overflow + S115_MT_0->SetEntries(2000); + // Style + S115_MT_0->SetLineColor(9); + S115_MT_0->SetLineStyle(1); + S115_MT_0->SetLineWidth(1); + S115_MT_0->SetFillColor(9); + S115_MT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_230","mystack"); + stack->Add(S115_MT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ j ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_114.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_114.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_114.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_114.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_114.py new file mode 100644 index 00000000..bcc1b399 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_114.py @@ -0,0 +1,62 @@ +def selection_114(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y115_MT_0 + y115_MT_0_weights = numpy.array([30.89566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y115_MT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ j ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y115_MT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y115_MT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_114.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_114.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_114.eps') + +# Running! +if __name__ == '__main__': + selection_114() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_115.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_115.C new file mode 100644 index 00000000..6ee78065 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_115.C @@ -0,0 +1,117 @@ +void selection_115() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo231","canvas_plotflow_tempo231",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S116_MT_MET_0 = new TH1F("S116_MT_MET_0","S116_MT_MET_0",50,0.0,1000.0); + // Content + S116_MT_MET_0->SetBinContent(0,0.0); // underflow + S116_MT_MET_0->SetBinContent(1,3.583897); + S116_MT_MET_0->SetBinContent(2,4.263601); + S116_MT_MET_0->SetBinContent(3,5.066888); + S116_MT_MET_0->SetBinContent(4,4.618901); + S116_MT_MET_0->SetBinContent(5,4.031884); + S116_MT_MET_0->SetBinContent(6,2.904192); + S116_MT_MET_0->SetBinContent(7,1.807396); + S116_MT_MET_0->SetBinContent(8,1.405753); + S116_MT_MET_0->SetBinContent(9,1.004109); + S116_MT_MET_0->SetBinContent(10,0.8650785); + S116_MT_MET_0->SetBinContent(11,0.4016436); + S116_MT_MET_0->SetBinContent(12,0.2008218); + S116_MT_MET_0->SetBinContent(13,0.2162696); + S116_MT_MET_0->SetBinContent(14,0.1699261); + S116_MT_MET_0->SetBinContent(15,0.09268698); + S116_MT_MET_0->SetBinContent(16,0.1081348); + S116_MT_MET_0->SetBinContent(17,0.04634349); + S116_MT_MET_0->SetBinContent(18,0.04634349); + S116_MT_MET_0->SetBinContent(19,0.03089566); + S116_MT_MET_0->SetBinContent(20,0.0); + S116_MT_MET_0->SetBinContent(21,0.0); + S116_MT_MET_0->SetBinContent(22,0.01544783); + S116_MT_MET_0->SetBinContent(23,0.0); + S116_MT_MET_0->SetBinContent(24,0.0); + S116_MT_MET_0->SetBinContent(25,0.01544783); + S116_MT_MET_0->SetBinContent(26,0.0); + S116_MT_MET_0->SetBinContent(27,0.0); + S116_MT_MET_0->SetBinContent(28,0.0); + S116_MT_MET_0->SetBinContent(29,0.0); + S116_MT_MET_0->SetBinContent(30,0.0); + S116_MT_MET_0->SetBinContent(31,0.0); + S116_MT_MET_0->SetBinContent(32,0.0); + S116_MT_MET_0->SetBinContent(33,0.0); + S116_MT_MET_0->SetBinContent(34,0.0); + S116_MT_MET_0->SetBinContent(35,0.0); + S116_MT_MET_0->SetBinContent(36,0.0); + S116_MT_MET_0->SetBinContent(37,0.0); + S116_MT_MET_0->SetBinContent(38,0.0); + S116_MT_MET_0->SetBinContent(39,0.0); + S116_MT_MET_0->SetBinContent(40,0.0); + S116_MT_MET_0->SetBinContent(41,0.0); + S116_MT_MET_0->SetBinContent(42,0.0); + S116_MT_MET_0->SetBinContent(43,0.0); + S116_MT_MET_0->SetBinContent(44,0.0); + S116_MT_MET_0->SetBinContent(45,0.0); + S116_MT_MET_0->SetBinContent(46,0.0); + S116_MT_MET_0->SetBinContent(47,0.0); + S116_MT_MET_0->SetBinContent(48,0.0); + S116_MT_MET_0->SetBinContent(49,0.0); + S116_MT_MET_0->SetBinContent(50,0.0); + S116_MT_MET_0->SetBinContent(51,0.0); // overflow + S116_MT_MET_0->SetEntries(2000); + // Style + S116_MT_MET_0->SetLineColor(9); + S116_MT_MET_0->SetLineStyle(1); + S116_MT_MET_0->SetLineWidth(1); + S116_MT_MET_0->SetFillColor(9); + S116_MT_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_232","mystack"); + stack->Add(S116_MT_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ j ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_115.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_115.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_115.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_115.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_115.py new file mode 100644 index 00000000..0cd51f6c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_115.py @@ -0,0 +1,62 @@ +def selection_115(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y116_MT_MET_0 + y116_MT_MET_0_weights = numpy.array([3.583897,4.263601,5.066888,4.618901,4.031884,2.904192,1.807396,1.405753,1.004109,0.8650785,0.4016436,0.2008218,0.2162696,0.1699261,0.09268698,0.1081348,0.04634349,0.04634349,0.03089566,0.0,0.0,0.01544783,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y116_MT_MET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ j ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y116_MT_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y116_MT_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_115.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_115.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_115.eps') + +# Running! +if __name__ == '__main__': + selection_115() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_116.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_116.C new file mode 100644 index 00000000..4b31b46e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_116.C @@ -0,0 +1,117 @@ +void selection_116() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo233","canvas_plotflow_tempo233",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S117_P_0 = new TH1F("S117_P_0","S117_P_0",50,0.0,2000.0); + // Content + S117_P_0->SetBinContent(0,0.0); // underflow + S117_P_0->SetBinContent(1,4.55711); + S117_P_0->SetBinContent(2,11.47774); + S117_P_0->SetBinContent(3,6.086445); + S117_P_0->SetBinContent(4,3.583897); + S117_P_0->SetBinContent(5,1.838292); + S117_P_0->SetBinContent(6,1.158587); + S117_P_0->SetBinContent(7,0.6951523); + S117_P_0->SetBinContent(8,0.5561219); + S117_P_0->SetBinContent(9,0.2780609); + S117_P_0->SetBinContent(10,0.1699261); + S117_P_0->SetBinContent(11,0.185374); + S117_P_0->SetBinContent(12,0.1390305); + S117_P_0->SetBinContent(13,0.04634349); + S117_P_0->SetBinContent(14,0.01544783); + S117_P_0->SetBinContent(15,0.04634349); + S117_P_0->SetBinContent(16,0.03089566); + S117_P_0->SetBinContent(17,0.0); + S117_P_0->SetBinContent(18,0.0); + S117_P_0->SetBinContent(19,0.0); + S117_P_0->SetBinContent(20,0.03089566); + S117_P_0->SetBinContent(21,0.0); + S117_P_0->SetBinContent(22,0.0); + S117_P_0->SetBinContent(23,0.0); + S117_P_0->SetBinContent(24,0.0); + S117_P_0->SetBinContent(25,0.0); + S117_P_0->SetBinContent(26,0.0); + S117_P_0->SetBinContent(27,0.0); + S117_P_0->SetBinContent(28,0.0); + S117_P_0->SetBinContent(29,0.0); + S117_P_0->SetBinContent(30,0.0); + S117_P_0->SetBinContent(31,0.0); + S117_P_0->SetBinContent(32,0.0); + S117_P_0->SetBinContent(33,0.0); + S117_P_0->SetBinContent(34,0.0); + S117_P_0->SetBinContent(35,0.0); + S117_P_0->SetBinContent(36,0.0); + S117_P_0->SetBinContent(37,0.0); + S117_P_0->SetBinContent(38,0.0); + S117_P_0->SetBinContent(39,0.0); + S117_P_0->SetBinContent(40,0.0); + S117_P_0->SetBinContent(41,0.0); + S117_P_0->SetBinContent(42,0.0); + S117_P_0->SetBinContent(43,0.0); + S117_P_0->SetBinContent(44,0.0); + S117_P_0->SetBinContent(45,0.0); + S117_P_0->SetBinContent(46,0.0); + S117_P_0->SetBinContent(47,0.0); + S117_P_0->SetBinContent(48,0.0); + S117_P_0->SetBinContent(49,0.0); + S117_P_0->SetBinContent(50,0.0); + S117_P_0->SetBinContent(51,0.0); // overflow + S117_P_0->SetEntries(2000); + // Style + S117_P_0->SetLineColor(9); + S117_P_0->SetLineStyle(1); + S117_P_0->SetLineWidth(1); + S117_P_0->SetFillColor(9); + S117_P_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_234","mystack"); + stack->Add(S117_P_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p [ j ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_116.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_116.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_116.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_116.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_116.py new file mode 100644 index 00000000..3697eccd --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_116.py @@ -0,0 +1,62 @@ +def selection_116(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y117_P_0 + y117_P_0_weights = numpy.array([4.55711,11.47774,6.086445,3.583897,1.838292,1.158587,0.6951523,0.5561219,0.2780609,0.1699261,0.185374,0.1390305,0.04634349,0.01544783,0.04634349,0.03089566,0.0,0.0,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y117_P_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p$ $[ j ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y117_P_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y117_P_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_116.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_116.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_116.eps') + +# Running! +if __name__ == '__main__': + selection_116() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_117.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_117.C new file mode 100644 index 00000000..6895f88a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_117.C @@ -0,0 +1,117 @@ +void selection_117() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo235","canvas_plotflow_tempo235",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S118_PX_0 = new TH1F("S118_PX_0","S118_PX_0",50,-1000.0,1000.0); + // Content + S118_PX_0->SetBinContent(0,0.0); // underflow + S118_PX_0->SetBinContent(1,0.0); + S118_PX_0->SetBinContent(2,0.0); + S118_PX_0->SetBinContent(3,0.0); + S118_PX_0->SetBinContent(4,0.0); + S118_PX_0->SetBinContent(5,0.0); + S118_PX_0->SetBinContent(6,0.0); + S118_PX_0->SetBinContent(7,0.0); + S118_PX_0->SetBinContent(8,0.0); + S118_PX_0->SetBinContent(9,0.0); + S118_PX_0->SetBinContent(10,0.0); + S118_PX_0->SetBinContent(11,0.0); + S118_PX_0->SetBinContent(12,0.0); + S118_PX_0->SetBinContent(13,0.0); + S118_PX_0->SetBinContent(14,0.0); + S118_PX_0->SetBinContent(15,0.0); + S118_PX_0->SetBinContent(16,0.0); + S118_PX_0->SetBinContent(17,0.0); + S118_PX_0->SetBinContent(18,0.0); + S118_PX_0->SetBinContent(19,0.0); + S118_PX_0->SetBinContent(20,0.01544783); + S118_PX_0->SetBinContent(21,0.03089566); + S118_PX_0->SetBinContent(22,0.2935088); + S118_PX_0->SetBinContent(23,0.8341828); + S118_PX_0->SetBinContent(24,4.170914); + S118_PX_0->SetBinContent(25,10.90617); + S118_PX_0->SetBinContent(26,10.08743); + S118_PX_0->SetBinContent(27,3.398523); + S118_PX_0->SetBinContent(28,0.8496306); + S118_PX_0->SetBinContent(29,0.2317174); + S118_PX_0->SetBinContent(30,0.07723915); + S118_PX_0->SetBinContent(31,0.0); + S118_PX_0->SetBinContent(32,0.0); + S118_PX_0->SetBinContent(33,0.0); + S118_PX_0->SetBinContent(34,0.0); + S118_PX_0->SetBinContent(35,0.0); + S118_PX_0->SetBinContent(36,0.0); + S118_PX_0->SetBinContent(37,0.0); + S118_PX_0->SetBinContent(38,0.0); + S118_PX_0->SetBinContent(39,0.0); + S118_PX_0->SetBinContent(40,0.0); + S118_PX_0->SetBinContent(41,0.0); + S118_PX_0->SetBinContent(42,0.0); + S118_PX_0->SetBinContent(43,0.0); + S118_PX_0->SetBinContent(44,0.0); + S118_PX_0->SetBinContent(45,0.0); + S118_PX_0->SetBinContent(46,0.0); + S118_PX_0->SetBinContent(47,0.0); + S118_PX_0->SetBinContent(48,0.0); + S118_PX_0->SetBinContent(49,0.0); + S118_PX_0->SetBinContent(50,0.0); + S118_PX_0->SetBinContent(51,0.0); // overflow + S118_PX_0->SetEntries(2000); + // Style + S118_PX_0->SetLineColor(9); + S118_PX_0->SetLineStyle(1); + S118_PX_0->SetLineWidth(1); + S118_PX_0->SetFillColor(9); + S118_PX_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_236","mystack"); + stack->Add(S118_PX_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{x} [ j ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_117.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_117.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_117.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_117.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_117.py new file mode 100644 index 00000000..d9ee06e9 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_117.py @@ -0,0 +1,62 @@ +def selection_117(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) + + # Creating weights for histo: y118_PX_0 + y118_PX_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.03089566,0.2935088,0.8341828,4.170914,10.90617,10.08743,3.398523,0.8496306,0.2317174,0.07723915,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y118_PX_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{x}$ $[ j ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y118_PX_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y118_PX_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_117.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_117.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_117.eps') + +# Running! +if __name__ == '__main__': + selection_117() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_118.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_118.C new file mode 100644 index 00000000..7b62e55b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_118.C @@ -0,0 +1,117 @@ +void selection_118() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo237","canvas_plotflow_tempo237",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S119_PY_0 = new TH1F("S119_PY_0","S119_PY_0",50,-1000.0,1000.0); + // Content + S119_PY_0->SetBinContent(0,0.0); // underflow + S119_PY_0->SetBinContent(1,0.0); + S119_PY_0->SetBinContent(2,0.0); + S119_PY_0->SetBinContent(3,0.0); + S119_PY_0->SetBinContent(4,0.0); + S119_PY_0->SetBinContent(5,0.0); + S119_PY_0->SetBinContent(6,0.0); + S119_PY_0->SetBinContent(7,0.0); + S119_PY_0->SetBinContent(8,0.0); + S119_PY_0->SetBinContent(9,0.0); + S119_PY_0->SetBinContent(10,0.0); + S119_PY_0->SetBinContent(11,0.0); + S119_PY_0->SetBinContent(12,0.0); + S119_PY_0->SetBinContent(13,0.0); + S119_PY_0->SetBinContent(14,0.0); + S119_PY_0->SetBinContent(15,0.0); + S119_PY_0->SetBinContent(16,0.0); + S119_PY_0->SetBinContent(17,0.0); + S119_PY_0->SetBinContent(18,0.0); + S119_PY_0->SetBinContent(19,0.0); + S119_PY_0->SetBinContent(20,0.03089566); + S119_PY_0->SetBinContent(21,0.04634349); + S119_PY_0->SetBinContent(22,0.1081348); + S119_PY_0->SetBinContent(23,0.911422); + S119_PY_0->SetBinContent(24,4.124571); + S119_PY_0->SetBinContent(25,9.793924); + S119_PY_0->SetBinContent(26,10.64355); + S119_PY_0->SetBinContent(27,4.000988); + S119_PY_0->SetBinContent(28,0.9268698); + S119_PY_0->SetBinContent(29,0.2162696); + S119_PY_0->SetBinContent(30,0.06179132); + S119_PY_0->SetBinContent(31,0.0); + S119_PY_0->SetBinContent(32,0.03089566); + S119_PY_0->SetBinContent(33,0.0); + S119_PY_0->SetBinContent(34,0.0); + S119_PY_0->SetBinContent(35,0.0); + S119_PY_0->SetBinContent(36,0.0); + S119_PY_0->SetBinContent(37,0.0); + S119_PY_0->SetBinContent(38,0.0); + S119_PY_0->SetBinContent(39,0.0); + S119_PY_0->SetBinContent(40,0.0); + S119_PY_0->SetBinContent(41,0.0); + S119_PY_0->SetBinContent(42,0.0); + S119_PY_0->SetBinContent(43,0.0); + S119_PY_0->SetBinContent(44,0.0); + S119_PY_0->SetBinContent(45,0.0); + S119_PY_0->SetBinContent(46,0.0); + S119_PY_0->SetBinContent(47,0.0); + S119_PY_0->SetBinContent(48,0.0); + S119_PY_0->SetBinContent(49,0.0); + S119_PY_0->SetBinContent(50,0.0); + S119_PY_0->SetBinContent(51,0.0); // overflow + S119_PY_0->SetEntries(2000); + // Style + S119_PY_0->SetLineColor(9); + S119_PY_0->SetLineStyle(1); + S119_PY_0->SetLineWidth(1); + S119_PY_0->SetFillColor(9); + S119_PY_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_238","mystack"); + stack->Add(S119_PY_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{y} [ j ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_118.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_118.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_118.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_118.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_118.py new file mode 100644 index 00000000..3e35da94 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_118.py @@ -0,0 +1,62 @@ +def selection_118(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) + + # Creating weights for histo: y119_PY_0 + y119_PY_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03089566,0.04634349,0.1081348,0.911422,4.124571,9.793924,10.64355,4.000988,0.9268698,0.2162696,0.06179132,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y119_PY_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{y}$ $[ j ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y119_PY_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y119_PY_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_118.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_118.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_118.eps') + +# Running! +if __name__ == '__main__': + selection_118() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_119.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_119.C new file mode 100644 index 00000000..7fb170f3 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_119.C @@ -0,0 +1,117 @@ +void selection_119() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo239","canvas_plotflow_tempo239",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S120_PZ_0 = new TH1F("S120_PZ_0","S120_PZ_0",50,-2000.0,2000.0); + // Content + S120_PZ_0->SetBinContent(0,0.0); // underflow + S120_PZ_0->SetBinContent(1,0.0); + S120_PZ_0->SetBinContent(2,0.0); + S120_PZ_0->SetBinContent(3,0.0); + S120_PZ_0->SetBinContent(4,0.0); + S120_PZ_0->SetBinContent(5,0.0); + S120_PZ_0->SetBinContent(6,0.0); + S120_PZ_0->SetBinContent(7,0.0); + S120_PZ_0->SetBinContent(8,0.0); + S120_PZ_0->SetBinContent(9,0.0); + S120_PZ_0->SetBinContent(10,0.0); + S120_PZ_0->SetBinContent(11,0.0); + S120_PZ_0->SetBinContent(12,0.0); + S120_PZ_0->SetBinContent(13,0.0); + S120_PZ_0->SetBinContent(14,0.0); + S120_PZ_0->SetBinContent(15,0.0); + S120_PZ_0->SetBinContent(16,0.0); + S120_PZ_0->SetBinContent(17,0.0); + S120_PZ_0->SetBinContent(18,0.04634349); + S120_PZ_0->SetBinContent(19,0.01544783); + S120_PZ_0->SetBinContent(20,0.09268698); + S120_PZ_0->SetBinContent(21,0.1235826); + S120_PZ_0->SetBinContent(22,0.5561219); + S120_PZ_0->SetBinContent(23,1.019557); + S120_PZ_0->SetBinContent(24,2.857849); + S120_PZ_0->SetBinContent(25,10.62811); + S120_PZ_0->SetBinContent(26,10.44273); + S120_PZ_0->SetBinContent(27,2.904192); + S120_PZ_0->SetBinContent(28,1.251274); + S120_PZ_0->SetBinContent(29,0.4634349); + S120_PZ_0->SetBinContent(30,0.2317174); + S120_PZ_0->SetBinContent(31,0.185374); + S120_PZ_0->SetBinContent(32,0.01544783); + S120_PZ_0->SetBinContent(33,0.03089566); + S120_PZ_0->SetBinContent(34,0.0); + S120_PZ_0->SetBinContent(35,0.03089566); + S120_PZ_0->SetBinContent(36,0.0); + S120_PZ_0->SetBinContent(37,0.0); + S120_PZ_0->SetBinContent(38,0.0); + S120_PZ_0->SetBinContent(39,0.0); + S120_PZ_0->SetBinContent(40,0.0); + S120_PZ_0->SetBinContent(41,0.0); + S120_PZ_0->SetBinContent(42,0.0); + S120_PZ_0->SetBinContent(43,0.0); + S120_PZ_0->SetBinContent(44,0.0); + S120_PZ_0->SetBinContent(45,0.0); + S120_PZ_0->SetBinContent(46,0.0); + S120_PZ_0->SetBinContent(47,0.0); + S120_PZ_0->SetBinContent(48,0.0); + S120_PZ_0->SetBinContent(49,0.0); + S120_PZ_0->SetBinContent(50,0.0); + S120_PZ_0->SetBinContent(51,0.0); // overflow + S120_PZ_0->SetEntries(2000); + // Style + S120_PZ_0->SetLineColor(9); + S120_PZ_0->SetLineStyle(1); + S120_PZ_0->SetLineWidth(1); + S120_PZ_0->SetFillColor(9); + S120_PZ_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_240","mystack"); + stack->Add(S120_PZ_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{z} [ j ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_119.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_119.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_119.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_119.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_119.py new file mode 100644 index 00000000..20b7bfd2 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_119.py @@ -0,0 +1,62 @@ +def selection_119(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-2000.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-1960.0,-1880.0,-1800.0,-1720.0,-1640.0,-1560.0,-1480.0,-1400.0,-1320.0,-1240.0,-1160.0,-1080.0,-1000.0,-920.0,-840.0,-760.0,-680.0,-600.0,-520.0,-440.0,-360.0,-280.0,-200.0,-120.0,-40.0,40.0,120.0,200.0,280.0,360.0,440.0,520.0,600.0,680.0,760.0,840.0,920.0,1000.0,1080.0,1160.0,1240.0,1320.0,1400.0,1480.0,1560.0,1640.0,1720.0,1800.0,1880.0,1960.0]) + + # Creating weights for histo: y120_PZ_0 + y120_PZ_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04634349,0.01544783,0.09268698,0.1235826,0.5561219,1.019557,2.857849,10.62811,10.44273,2.904192,1.251274,0.4634349,0.2317174,0.185374,0.01544783,0.03089566,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y120_PZ_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{z}$ $[ j ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y120_PZ_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y120_PZ_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_119.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_119.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_119.eps') + +# Running! +if __name__ == '__main__': + selection_119() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_12.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_12.C new file mode 100644 index 00000000..73fb70c2 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_12.C @@ -0,0 +1,117 @@ +void selection_12() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo25","canvas_plotflow_tempo25",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S13_ETA_0 = new TH1F("S13_ETA_0","S13_ETA_0",50,-8.0,8.0); + // Content + S13_ETA_0->SetBinContent(0,0.0); // underflow + S13_ETA_0->SetBinContent(1,0.0); + S13_ETA_0->SetBinContent(2,0.0); + S13_ETA_0->SetBinContent(3,0.0); + S13_ETA_0->SetBinContent(4,0.0); + S13_ETA_0->SetBinContent(5,0.0); + S13_ETA_0->SetBinContent(6,0.0); + S13_ETA_0->SetBinContent(7,0.0); + S13_ETA_0->SetBinContent(8,0.0); + S13_ETA_0->SetBinContent(9,0.0); + S13_ETA_0->SetBinContent(10,0.0); + S13_ETA_0->SetBinContent(11,0.0); + S13_ETA_0->SetBinContent(12,0.0); + S13_ETA_0->SetBinContent(13,0.0); + S13_ETA_0->SetBinContent(14,0.0); + S13_ETA_0->SetBinContent(15,0.0); + S13_ETA_0->SetBinContent(16,0.0); + S13_ETA_0->SetBinContent(17,0.0); + S13_ETA_0->SetBinContent(18,0.1544783); + S13_ETA_0->SetBinContent(19,0.2317174); + S13_ETA_0->SetBinContent(20,0.3861957); + S13_ETA_0->SetBinContent(21,0.2626131); + S13_ETA_0->SetBinContent(22,0.5561219); + S13_ETA_0->SetBinContent(23,0.5097784); + S13_ETA_0->SetBinContent(24,0.8650785); + S13_ETA_0->SetBinContent(25,0.8650785); + S13_ETA_0->SetBinContent(26,0.818735); + S13_ETA_0->SetBinContent(27,0.5870175); + S13_ETA_0->SetBinContent(28,0.633361); + S13_ETA_0->SetBinContent(29,0.6642567); + S13_ETA_0->SetBinContent(30,0.5870175); + S13_ETA_0->SetBinContent(31,0.3398523); + S13_ETA_0->SetBinContent(32,0.2162696); + S13_ETA_0->SetBinContent(33,0.1390305); + S13_ETA_0->SetBinContent(34,0.0); + S13_ETA_0->SetBinContent(35,0.0); + S13_ETA_0->SetBinContent(36,0.0); + S13_ETA_0->SetBinContent(37,0.0); + S13_ETA_0->SetBinContent(38,0.0); + S13_ETA_0->SetBinContent(39,0.0); + S13_ETA_0->SetBinContent(40,0.0); + S13_ETA_0->SetBinContent(41,0.0); + S13_ETA_0->SetBinContent(42,0.0); + S13_ETA_0->SetBinContent(43,0.0); + S13_ETA_0->SetBinContent(44,0.0); + S13_ETA_0->SetBinContent(45,0.0); + S13_ETA_0->SetBinContent(46,0.0); + S13_ETA_0->SetBinContent(47,0.0); + S13_ETA_0->SetBinContent(48,0.0); + S13_ETA_0->SetBinContent(49,0.0); + S13_ETA_0->SetBinContent(50,0.0); + S13_ETA_0->SetBinContent(51,0.0); // overflow + S13_ETA_0->SetEntries(506); + // Style + S13_ETA_0->SetLineColor(9); + S13_ETA_0->SetLineStyle(1); + S13_ETA_0->SetLineWidth(1); + S13_ETA_0->SetFillColor(9); + S13_ETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_26","mystack"); + stack->Add(S13_ETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#eta [ e ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_12.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_12.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_12.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_12.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_12.py new file mode 100644 index 00000000..fec67054 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_12.py @@ -0,0 +1,62 @@ +def selection_12(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y13_ETA_0 + y13_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1544783,0.2317174,0.3861957,0.2626131,0.5561219,0.5097784,0.8650785,0.8650785,0.818735,0.5870175,0.633361,0.6642567,0.5870175,0.3398523,0.2162696,0.1390305,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y13_ETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\eta$ $[ e ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y13_ETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y13_ETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_12.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_12.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_12.eps') + +# Running! +if __name__ == '__main__': + selection_12() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_120.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_120.C new file mode 100644 index 00000000..ee2f0c3c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_120.C @@ -0,0 +1,117 @@ +void selection_120() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo241","canvas_plotflow_tempo241",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S121_R_0 = new TH1F("S121_R_0","S121_R_0",50,0.0,10.0); + // Content + S121_R_0->SetBinContent(0,0.0); // underflow + S121_R_0->SetBinContent(1,0.3089566); + S121_R_0->SetBinContent(2,0.5870175); + S121_R_0->SetBinContent(3,0.7106002); + S121_R_0->SetBinContent(4,1.050452); + S121_R_0->SetBinContent(5,1.343961); + S121_R_0->SetBinContent(6,1.714709); + S121_R_0->SetBinContent(7,2.116353); + S121_R_0->SetBinContent(8,2.116353); + S121_R_0->SetBinContent(9,2.317174); + S121_R_0->SetBinContent(10,2.440757); + S121_R_0->SetBinContent(11,2.023666); + S121_R_0->SetBinContent(12,2.502548); + S121_R_0->SetBinContent(13,2.672475); + S121_R_0->SetBinContent(14,2.425309); + S121_R_0->SetBinContent(15,1.915531); + S121_R_0->SetBinContent(16,2.363518); + S121_R_0->SetBinContent(17,1.220379); + S121_R_0->SetBinContent(18,0.6179132); + S121_R_0->SetBinContent(19,0.2626131); + S121_R_0->SetBinContent(20,0.1081348); + S121_R_0->SetBinContent(21,0.04634349); + S121_R_0->SetBinContent(22,0.03089566); + S121_R_0->SetBinContent(23,0.0); + S121_R_0->SetBinContent(24,0.0); + S121_R_0->SetBinContent(25,0.0); + S121_R_0->SetBinContent(26,0.0); + S121_R_0->SetBinContent(27,0.0); + S121_R_0->SetBinContent(28,0.0); + S121_R_0->SetBinContent(29,0.0); + S121_R_0->SetBinContent(30,0.0); + S121_R_0->SetBinContent(31,0.0); + S121_R_0->SetBinContent(32,0.0); + S121_R_0->SetBinContent(33,0.0); + S121_R_0->SetBinContent(34,0.0); + S121_R_0->SetBinContent(35,0.0); + S121_R_0->SetBinContent(36,0.0); + S121_R_0->SetBinContent(37,0.0); + S121_R_0->SetBinContent(38,0.0); + S121_R_0->SetBinContent(39,0.0); + S121_R_0->SetBinContent(40,0.0); + S121_R_0->SetBinContent(41,0.0); + S121_R_0->SetBinContent(42,0.0); + S121_R_0->SetBinContent(43,0.0); + S121_R_0->SetBinContent(44,0.0); + S121_R_0->SetBinContent(45,0.0); + S121_R_0->SetBinContent(46,0.0); + S121_R_0->SetBinContent(47,0.0); + S121_R_0->SetBinContent(48,0.0); + S121_R_0->SetBinContent(49,0.0); + S121_R_0->SetBinContent(50,0.0); + S121_R_0->SetBinContent(51,0.0); // overflow + S121_R_0->SetEntries(2000); + // Style + S121_R_0->SetLineColor(9); + S121_R_0->SetLineStyle(1); + S121_R_0->SetLineWidth(1); + S121_R_0->SetFillColor(9); + S121_R_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_242","mystack"); + stack->Add(S121_R_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("R [ j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_120.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_120.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_120.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_120.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_120.py new file mode 100644 index 00000000..5713a042 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_120.py @@ -0,0 +1,62 @@ +def selection_120(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y121_R_0 + y121_R_0_weights = numpy.array([0.3089566,0.5870175,0.7106002,1.050452,1.343961,1.714709,2.116353,2.116353,2.317174,2.440757,2.023666,2.502548,2.672475,2.425309,1.915531,2.363518,1.220379,0.6179132,0.2626131,0.1081348,0.04634349,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y121_R_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$R$ $[ j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y121_R_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y121_R_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_120.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_120.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_120.eps') + +# Running! +if __name__ == '__main__': + selection_120() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_121.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_121.C new file mode 100644 index 00000000..ab7d86b9 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_121.C @@ -0,0 +1,117 @@ +void selection_121() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo243","canvas_plotflow_tempo243",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S122_Y_0 = new TH1F("S122_Y_0","S122_Y_0",50,-8.0,8.0); + // Content + S122_Y_0->SetBinContent(0,0.0); // underflow + S122_Y_0->SetBinContent(1,0.0); + S122_Y_0->SetBinContent(2,0.0); + S122_Y_0->SetBinContent(3,0.0); + S122_Y_0->SetBinContent(4,0.0); + S122_Y_0->SetBinContent(5,0.0); + S122_Y_0->SetBinContent(6,0.0); + S122_Y_0->SetBinContent(7,0.0); + S122_Y_0->SetBinContent(8,0.0); + S122_Y_0->SetBinContent(9,0.0); + S122_Y_0->SetBinContent(10,0.0); + S122_Y_0->SetBinContent(11,0.0); + S122_Y_0->SetBinContent(12,0.0); + S122_Y_0->SetBinContent(13,0.0); + S122_Y_0->SetBinContent(14,0.0); + S122_Y_0->SetBinContent(15,0.06179132); + S122_Y_0->SetBinContent(16,0.1235826); + S122_Y_0->SetBinContent(17,0.1544783); + S122_Y_0->SetBinContent(18,0.4788827); + S122_Y_0->SetBinContent(19,0.8496306); + S122_Y_0->SetBinContent(20,1.112244); + S122_Y_0->SetBinContent(21,1.745605); + S122_Y_0->SetBinContent(22,1.884635); + S122_Y_0->SetBinContent(23,2.873296); + S122_Y_0->SetBinContent(24,2.888744); + S122_Y_0->SetBinContent(25,3.166805); + S122_Y_0->SetBinContent(26,3.336731); + S122_Y_0->SetBinContent(27,2.657027); + S122_Y_0->SetBinContent(28,2.425309); + S122_Y_0->SetBinContent(29,2.085457); + S122_Y_0->SetBinContent(30,1.85374); + S122_Y_0->SetBinContent(31,1.390305); + S122_Y_0->SetBinContent(32,0.818735); + S122_Y_0->SetBinContent(33,0.4325392); + S122_Y_0->SetBinContent(34,0.4479871); + S122_Y_0->SetBinContent(35,0.09268698); + S122_Y_0->SetBinContent(36,0.01544783); + S122_Y_0->SetBinContent(37,0.0); + S122_Y_0->SetBinContent(38,0.0); + S122_Y_0->SetBinContent(39,0.0); + S122_Y_0->SetBinContent(40,0.0); + S122_Y_0->SetBinContent(41,0.0); + S122_Y_0->SetBinContent(42,0.0); + S122_Y_0->SetBinContent(43,0.0); + S122_Y_0->SetBinContent(44,0.0); + S122_Y_0->SetBinContent(45,0.0); + S122_Y_0->SetBinContent(46,0.0); + S122_Y_0->SetBinContent(47,0.0); + S122_Y_0->SetBinContent(48,0.0); + S122_Y_0->SetBinContent(49,0.0); + S122_Y_0->SetBinContent(50,0.0); + S122_Y_0->SetBinContent(51,0.0); // overflow + S122_Y_0->SetEntries(2000); + // Style + S122_Y_0->SetLineColor(9); + S122_Y_0->SetLineStyle(1); + S122_Y_0->SetLineWidth(1); + S122_Y_0->SetFillColor(9); + S122_Y_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_244","mystack"); + stack->Add(S122_Y_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("y [ j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_121.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_121.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_121.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_121.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_121.py new file mode 100644 index 00000000..0d51ecb8 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_121.py @@ -0,0 +1,62 @@ +def selection_121(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y122_Y_0 + y122_Y_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06179132,0.1235826,0.1544783,0.4788827,0.8496306,1.112244,1.745605,1.884635,2.873296,2.888744,3.166805,3.336731,2.657027,2.425309,2.085457,1.85374,1.390305,0.818735,0.4325392,0.4479871,0.09268698,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y122_Y_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$y$ $[ j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y122_Y_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y122_Y_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_121.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_121.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_121.eps') + +# Running! +if __name__ == '__main__': + selection_121() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_122.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_122.C new file mode 100644 index 00000000..44cb1e77 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_122.C @@ -0,0 +1,117 @@ +void selection_122() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo245","canvas_plotflow_tempo245",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S123_BETA_0 = new TH1F("S123_BETA_0","S123_BETA_0",50,0.0,1.2); + // Content + S123_BETA_0->SetBinContent(0,0.0); // underflow + S123_BETA_0->SetBinContent(1,0.0); + S123_BETA_0->SetBinContent(2,0.0); + S123_BETA_0->SetBinContent(3,0.0); + S123_BETA_0->SetBinContent(4,0.0); + S123_BETA_0->SetBinContent(5,0.0); + S123_BETA_0->SetBinContent(6,0.0); + S123_BETA_0->SetBinContent(7,0.0); + S123_BETA_0->SetBinContent(8,0.0); + S123_BETA_0->SetBinContent(9,0.0); + S123_BETA_0->SetBinContent(10,0.0); + S123_BETA_0->SetBinContent(11,0.0); + S123_BETA_0->SetBinContent(12,0.0); + S123_BETA_0->SetBinContent(13,0.0); + S123_BETA_0->SetBinContent(14,0.0); + S123_BETA_0->SetBinContent(15,0.0); + S123_BETA_0->SetBinContent(16,0.0); + S123_BETA_0->SetBinContent(17,0.0); + S123_BETA_0->SetBinContent(18,0.0); + S123_BETA_0->SetBinContent(19,0.0); + S123_BETA_0->SetBinContent(20,0.0); + S123_BETA_0->SetBinContent(21,0.0); + S123_BETA_0->SetBinContent(22,0.0); + S123_BETA_0->SetBinContent(23,0.0); + S123_BETA_0->SetBinContent(24,0.0); + S123_BETA_0->SetBinContent(25,0.0); + S123_BETA_0->SetBinContent(26,0.0); + S123_BETA_0->SetBinContent(27,0.0); + S123_BETA_0->SetBinContent(28,0.0); + S123_BETA_0->SetBinContent(29,0.0); + S123_BETA_0->SetBinContent(30,0.0); + S123_BETA_0->SetBinContent(31,0.0); + S123_BETA_0->SetBinContent(32,0.0); + S123_BETA_0->SetBinContent(33,0.0); + S123_BETA_0->SetBinContent(34,0.0); + S123_BETA_0->SetBinContent(35,0.0); + S123_BETA_0->SetBinContent(36,0.0); + S123_BETA_0->SetBinContent(37,0.0); + S123_BETA_0->SetBinContent(38,0.0); + S123_BETA_0->SetBinContent(39,0.0); + S123_BETA_0->SetBinContent(40,0.0); + S123_BETA_0->SetBinContent(41,0.0); + S123_BETA_0->SetBinContent(42,30.89566); + S123_BETA_0->SetBinContent(43,0.0); + S123_BETA_0->SetBinContent(44,0.0); + S123_BETA_0->SetBinContent(45,0.0); + S123_BETA_0->SetBinContent(46,0.0); + S123_BETA_0->SetBinContent(47,0.0); + S123_BETA_0->SetBinContent(48,0.0); + S123_BETA_0->SetBinContent(49,0.0); + S123_BETA_0->SetBinContent(50,0.0); + S123_BETA_0->SetBinContent(51,0.0); // overflow + S123_BETA_0->SetEntries(2000); + // Style + S123_BETA_0->SetLineColor(9); + S123_BETA_0->SetLineStyle(1); + S123_BETA_0->SetLineWidth(1); + S123_BETA_0->SetFillColor(9); + S123_BETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_246","mystack"); + stack->Add(S123_BETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#beta [ j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_122.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_122.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_122.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_122.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_122.py new file mode 100644 index 00000000..c574ec44 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_122.py @@ -0,0 +1,62 @@ +def selection_122(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1.2,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.012,0.036000000000000004,0.06,0.084,0.108,0.132,0.156,0.18,0.20400000000000001,0.228,0.252,0.276,0.3,0.324,0.34800000000000003,0.372,0.396,0.42,0.444,0.468,0.492,0.516,0.54,0.5640000000000001,0.588,0.612,0.636,0.66,0.684,0.708,0.732,0.756,0.78,0.804,0.8280000000000001,0.852,0.876,0.9,0.924,0.9480000000000001,0.972,0.996,1.02,1.044,1.068,1.092,1.116,1.1400000000000001,1.164,1.188]) + + # Creating weights for histo: y123_BETA_0 + y123_BETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.89566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y123_BETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\beta$ $[ j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y123_BETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y123_BETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_122.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_122.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_122.eps') + +# Running! +if __name__ == '__main__': + selection_122() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_123.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_123.C new file mode 100644 index 00000000..02ff4318 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_123.C @@ -0,0 +1,117 @@ +void selection_123() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo247","canvas_plotflow_tempo247",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S124_GAMMA_0 = new TH1F("S124_GAMMA_0","S124_GAMMA_0",50,1.0,100.0); + // Content + S124_GAMMA_0->SetBinContent(0,0.0); // underflow + S124_GAMMA_0->SetBinContent(1,15.72589); + S124_GAMMA_0->SetBinContent(2,0.0); + S124_GAMMA_0->SetBinContent(3,0.0); + S124_GAMMA_0->SetBinContent(4,0.0); + S124_GAMMA_0->SetBinContent(5,0.0); + S124_GAMMA_0->SetBinContent(6,0.0); + S124_GAMMA_0->SetBinContent(7,0.0); + S124_GAMMA_0->SetBinContent(8,0.0); + S124_GAMMA_0->SetBinContent(9,0.0); + S124_GAMMA_0->SetBinContent(10,0.0); + S124_GAMMA_0->SetBinContent(11,0.0); + S124_GAMMA_0->SetBinContent(12,0.0); + S124_GAMMA_0->SetBinContent(13,0.0); + S124_GAMMA_0->SetBinContent(14,0.0); + S124_GAMMA_0->SetBinContent(15,0.0); + S124_GAMMA_0->SetBinContent(16,0.0); + S124_GAMMA_0->SetBinContent(17,0.0); + S124_GAMMA_0->SetBinContent(18,0.0); + S124_GAMMA_0->SetBinContent(19,0.0); + S124_GAMMA_0->SetBinContent(20,0.0); + S124_GAMMA_0->SetBinContent(21,0.0); + S124_GAMMA_0->SetBinContent(22,0.0); + S124_GAMMA_0->SetBinContent(23,0.0); + S124_GAMMA_0->SetBinContent(24,0.0); + S124_GAMMA_0->SetBinContent(25,0.0); + S124_GAMMA_0->SetBinContent(26,0.0); + S124_GAMMA_0->SetBinContent(27,0.0); + S124_GAMMA_0->SetBinContent(28,0.0); + S124_GAMMA_0->SetBinContent(29,0.0); + S124_GAMMA_0->SetBinContent(30,0.0); + S124_GAMMA_0->SetBinContent(31,0.0); + S124_GAMMA_0->SetBinContent(32,0.0); + S124_GAMMA_0->SetBinContent(33,0.0); + S124_GAMMA_0->SetBinContent(34,0.0); + S124_GAMMA_0->SetBinContent(35,0.0); + S124_GAMMA_0->SetBinContent(36,0.0); + S124_GAMMA_0->SetBinContent(37,0.0); + S124_GAMMA_0->SetBinContent(38,0.0); + S124_GAMMA_0->SetBinContent(39,0.0); + S124_GAMMA_0->SetBinContent(40,0.0); + S124_GAMMA_0->SetBinContent(41,0.0); + S124_GAMMA_0->SetBinContent(42,0.0); + S124_GAMMA_0->SetBinContent(43,0.0); + S124_GAMMA_0->SetBinContent(44,0.0); + S124_GAMMA_0->SetBinContent(45,0.0); + S124_GAMMA_0->SetBinContent(46,0.0); + S124_GAMMA_0->SetBinContent(47,0.0); + S124_GAMMA_0->SetBinContent(48,0.0); + S124_GAMMA_0->SetBinContent(49,0.0); + S124_GAMMA_0->SetBinContent(50,0.0); + S124_GAMMA_0->SetBinContent(51,15.16977); // overflow + S124_GAMMA_0->SetEntries(2000); + // Style + S124_GAMMA_0->SetLineColor(9); + S124_GAMMA_0->SetLineStyle(1); + S124_GAMMA_0->SetLineWidth(1); + S124_GAMMA_0->SetFillColor(9); + S124_GAMMA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_248","mystack"); + stack->Add(S124_GAMMA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#gamma [ j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_123.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_123.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_123.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_123.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_123.py new file mode 100644 index 00000000..95ca7153 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_123.py @@ -0,0 +1,62 @@ +def selection_123(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(1.0,100.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([1.99,3.9699999999999998,5.95,7.93,9.91,11.89,13.87,15.85,17.83,19.81,21.79,23.77,25.75,27.73,29.71,31.69,33.67,35.65,37.63,39.61,41.589999999999996,43.57,45.55,47.53,49.51,51.49,53.47,55.45,57.43,59.41,61.39,63.37,65.35,67.33,69.31,71.29,73.27,75.25,77.23,79.21,81.19,83.17,85.15,87.13,89.11,91.09,93.07,95.05,97.03,99.01]) + + # Creating weights for histo: y124_GAMMA_0 + y124_GAMMA_0_weights = numpy.array([15.72589,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y124_GAMMA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\gamma$ $[ j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y124_GAMMA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y124_GAMMA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_123.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_123.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_123.eps') + +# Running! +if __name__ == '__main__': + selection_123() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_124.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_124.C new file mode 100644 index 00000000..7ce9afd3 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_124.C @@ -0,0 +1,117 @@ +void selection_124() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo249","canvas_plotflow_tempo249",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S125_PT_0 = new TH1F("S125_PT_0","S125_PT_0",50,0.0,1000.0); + // Content + S125_PT_0->SetBinContent(0,0.0); // underflow + S125_PT_0->SetBinContent(1,0.0); + S125_PT_0->SetBinContent(2,1.235826); + S125_PT_0->SetBinContent(3,4.927858); + S125_PT_0->SetBinContent(4,4.418079); + S125_PT_0->SetBinContent(5,2.301727); + S125_PT_0->SetBinContent(6,1.112244); + S125_PT_0->SetBinContent(7,0.6797045); + S125_PT_0->SetBinContent(8,0.4016436); + S125_PT_0->SetBinContent(9,0.1235826); + S125_PT_0->SetBinContent(10,0.1235826); + S125_PT_0->SetBinContent(11,0.06179132); + S125_PT_0->SetBinContent(12,0.01544783); + S125_PT_0->SetBinContent(13,0.0); + S125_PT_0->SetBinContent(14,0.01544783); + S125_PT_0->SetBinContent(15,0.01544783); + S125_PT_0->SetBinContent(16,0.01544783); + S125_PT_0->SetBinContent(17,0.0); + S125_PT_0->SetBinContent(18,0.0); + S125_PT_0->SetBinContent(19,0.0); + S125_PT_0->SetBinContent(20,0.0); + S125_PT_0->SetBinContent(21,0.0); + S125_PT_0->SetBinContent(22,0.0); + S125_PT_0->SetBinContent(23,0.0); + S125_PT_0->SetBinContent(24,0.0); + S125_PT_0->SetBinContent(25,0.0); + S125_PT_0->SetBinContent(26,0.0); + S125_PT_0->SetBinContent(27,0.0); + S125_PT_0->SetBinContent(28,0.0); + S125_PT_0->SetBinContent(29,0.0); + S125_PT_0->SetBinContent(30,0.0); + S125_PT_0->SetBinContent(31,0.0); + S125_PT_0->SetBinContent(32,0.0); + S125_PT_0->SetBinContent(33,0.0); + S125_PT_0->SetBinContent(34,0.0); + S125_PT_0->SetBinContent(35,0.0); + S125_PT_0->SetBinContent(36,0.0); + S125_PT_0->SetBinContent(37,0.0); + S125_PT_0->SetBinContent(38,0.0); + S125_PT_0->SetBinContent(39,0.0); + S125_PT_0->SetBinContent(40,0.0); + S125_PT_0->SetBinContent(41,0.0); + S125_PT_0->SetBinContent(42,0.0); + S125_PT_0->SetBinContent(43,0.0); + S125_PT_0->SetBinContent(44,0.0); + S125_PT_0->SetBinContent(45,0.0); + S125_PT_0->SetBinContent(46,0.0); + S125_PT_0->SetBinContent(47,0.0); + S125_PT_0->SetBinContent(48,0.0); + S125_PT_0->SetBinContent(49,0.0); + S125_PT_0->SetBinContent(50,0.0); + S125_PT_0->SetBinContent(51,0.0); // overflow + S125_PT_0->SetEntries(1000); + // Style + S125_PT_0->SetLineColor(9); + S125_PT_0->SetLineStyle(1); + S125_PT_0->SetLineWidth(1); + S125_PT_0->SetFillColor(9); + S125_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_250","mystack"); + stack->Add(S125_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ j_{1} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_124.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_124.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_124.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_124.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_124.py new file mode 100644 index 00000000..a7a62088 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_124.py @@ -0,0 +1,62 @@ +def selection_124(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y125_PT_0 + y125_PT_0_weights = numpy.array([0.0,1.235826,4.927858,4.418079,2.301727,1.112244,0.6797045,0.4016436,0.1235826,0.1235826,0.06179132,0.01544783,0.0,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y125_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ j_{1} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y125_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y125_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_124.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_124.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_124.eps') + +# Running! +if __name__ == '__main__': + selection_124() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_125.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_125.C new file mode 100644 index 00000000..cc766bf9 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_125.C @@ -0,0 +1,117 @@ +void selection_125() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo251","canvas_plotflow_tempo251",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S126_ETA_0 = new TH1F("S126_ETA_0","S126_ETA_0",50,-8.0,8.0); + // Content + S126_ETA_0->SetBinContent(0,0.0); // underflow + S126_ETA_0->SetBinContent(1,0.0); + S126_ETA_0->SetBinContent(2,0.0); + S126_ETA_0->SetBinContent(3,0.0); + S126_ETA_0->SetBinContent(4,0.0); + S126_ETA_0->SetBinContent(5,0.0); + S126_ETA_0->SetBinContent(6,0.0); + S126_ETA_0->SetBinContent(7,0.0); + S126_ETA_0->SetBinContent(8,0.0); + S126_ETA_0->SetBinContent(9,0.0); + S126_ETA_0->SetBinContent(10,0.0); + S126_ETA_0->SetBinContent(11,0.0); + S126_ETA_0->SetBinContent(12,0.0); + S126_ETA_0->SetBinContent(13,0.0); + S126_ETA_0->SetBinContent(14,0.0); + S126_ETA_0->SetBinContent(15,0.01544783); + S126_ETA_0->SetBinContent(16,0.0); + S126_ETA_0->SetBinContent(17,0.04634349); + S126_ETA_0->SetBinContent(18,0.185374); + S126_ETA_0->SetBinContent(19,0.3707479); + S126_ETA_0->SetBinContent(20,0.6024654); + S126_ETA_0->SetBinContent(21,0.8959741); + S126_ETA_0->SetBinContent(22,0.8650785); + S126_ETA_0->SetBinContent(23,1.498439); + S126_ETA_0->SetBinContent(24,1.513887); + S126_ETA_0->SetBinContent(25,1.622022); + S126_ETA_0->SetBinContent(26,1.652918); + S126_ETA_0->SetBinContent(27,1.436648); + S126_ETA_0->SetBinContent(28,1.390305); + S126_ETA_0->SetBinContent(29,1.189483); + S126_ETA_0->SetBinContent(30,0.818735); + S126_ETA_0->SetBinContent(31,0.6797045); + S126_ETA_0->SetBinContent(32,0.3553001); + S126_ETA_0->SetBinContent(33,0.1699261); + S126_ETA_0->SetBinContent(34,0.1235826); + S126_ETA_0->SetBinContent(35,0.01544783); + S126_ETA_0->SetBinContent(36,0.0); + S126_ETA_0->SetBinContent(37,0.0); + S126_ETA_0->SetBinContent(38,0.0); + S126_ETA_0->SetBinContent(39,0.0); + S126_ETA_0->SetBinContent(40,0.0); + S126_ETA_0->SetBinContent(41,0.0); + S126_ETA_0->SetBinContent(42,0.0); + S126_ETA_0->SetBinContent(43,0.0); + S126_ETA_0->SetBinContent(44,0.0); + S126_ETA_0->SetBinContent(45,0.0); + S126_ETA_0->SetBinContent(46,0.0); + S126_ETA_0->SetBinContent(47,0.0); + S126_ETA_0->SetBinContent(48,0.0); + S126_ETA_0->SetBinContent(49,0.0); + S126_ETA_0->SetBinContent(50,0.0); + S126_ETA_0->SetBinContent(51,0.0); // overflow + S126_ETA_0->SetEntries(1000); + // Style + S126_ETA_0->SetLineColor(9); + S126_ETA_0->SetLineStyle(1); + S126_ETA_0->SetLineWidth(1); + S126_ETA_0->SetFillColor(9); + S126_ETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_252","mystack"); + stack->Add(S126_ETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#eta [ j_{1} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_125.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_125.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_125.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_125.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_125.py new file mode 100644 index 00000000..58448f8f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_125.py @@ -0,0 +1,62 @@ +def selection_125(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y126_ETA_0 + y126_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.04634349,0.185374,0.3707479,0.6024654,0.8959741,0.8650785,1.498439,1.513887,1.622022,1.652918,1.436648,1.390305,1.189483,0.818735,0.6797045,0.3553001,0.1699261,0.1235826,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y126_ETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\eta$ $[ j_{1} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y126_ETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y126_ETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_125.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_125.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_125.eps') + +# Running! +if __name__ == '__main__': + selection_125() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_126.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_126.C new file mode 100644 index 00000000..34688b08 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_126.C @@ -0,0 +1,99 @@ +void selection_126() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo253","canvas_plotflow_tempo253",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S127_PHI_0 = new TH1F("S127_PHI_0","S127_PHI_0",32,-3.2,3.2); + // Content + S127_PHI_0->SetBinContent(0,0.0); // underflow + S127_PHI_0->SetBinContent(1,0.2471653); + S127_PHI_0->SetBinContent(2,0.5715697); + S127_PHI_0->SetBinContent(3,0.4943306); + S127_PHI_0->SetBinContent(4,0.540674); + S127_PHI_0->SetBinContent(5,0.4479871); + S127_PHI_0->SetBinContent(6,0.3398523); + S127_PHI_0->SetBinContent(7,0.6024654); + S127_PHI_0->SetBinContent(8,0.633361); + S127_PHI_0->SetBinContent(9,0.4788827); + S127_PHI_0->SetBinContent(10,0.4788827); + S127_PHI_0->SetBinContent(11,0.4325392); + S127_PHI_0->SetBinContent(12,0.4634349); + S127_PHI_0->SetBinContent(13,0.4943306); + S127_PHI_0->SetBinContent(14,0.5252262); + S127_PHI_0->SetBinContent(15,0.3553001); + S127_PHI_0->SetBinContent(16,0.4943306); + S127_PHI_0->SetBinContent(17,0.4634349); + S127_PHI_0->SetBinContent(18,0.4016436); + S127_PHI_0->SetBinContent(19,0.4325392); + S127_PHI_0->SetBinContent(20,0.3861957); + S127_PHI_0->SetBinContent(21,0.4170914); + S127_PHI_0->SetBinContent(22,0.5252262); + S127_PHI_0->SetBinContent(23,0.5715697); + S127_PHI_0->SetBinContent(24,0.4788827); + S127_PHI_0->SetBinContent(25,0.4634349); + S127_PHI_0->SetBinContent(26,0.4788827); + S127_PHI_0->SetBinContent(27,0.5870175); + S127_PHI_0->SetBinContent(28,0.5561219); + S127_PHI_0->SetBinContent(29,0.5715697); + S127_PHI_0->SetBinContent(30,0.6179132); + S127_PHI_0->SetBinContent(31,0.3861957); + S127_PHI_0->SetBinContent(32,0.5097784); + S127_PHI_0->SetBinContent(33,0.0); // overflow + S127_PHI_0->SetEntries(1000); + // Style + S127_PHI_0->SetLineColor(9); + S127_PHI_0->SetLineStyle(1); + S127_PHI_0->SetLineWidth(1); + S127_PHI_0->SetFillColor(9); + S127_PHI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_254","mystack"); + stack->Add(S127_PHI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#phi [ j_{1} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_126.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_126.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_126.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_126.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_126.py new file mode 100644 index 00000000..731e3905 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_126.py @@ -0,0 +1,62 @@ +def selection_126(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) + + # Creating weights for histo: y127_PHI_0 + y127_PHI_0_weights = numpy.array([0.2471653,0.5715697,0.4943306,0.540674,0.4479871,0.3398523,0.6024654,0.633361,0.4788827,0.4788827,0.4325392,0.4634349,0.4943306,0.5252262,0.3553001,0.4943306,0.4634349,0.4016436,0.4325392,0.3861957,0.4170914,0.5252262,0.5715697,0.4788827,0.4634349,0.4788827,0.5870175,0.5561219,0.5715697,0.6179132,0.3861957,0.5097784]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y127_PHI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\phi$ $[ j_{1} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y127_PHI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y127_PHI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_126.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_126.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_126.eps') + +# Running! +if __name__ == '__main__': + selection_126() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_127.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_127.C new file mode 100644 index 00000000..6ed45422 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_127.C @@ -0,0 +1,117 @@ +void selection_127() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo255","canvas_plotflow_tempo255",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S128_E_0 = new TH1F("S128_E_0","S128_E_0",50,0.0,2000.0); + // Content + S128_E_0->SetBinContent(0,0.0); // underflow + S128_E_0->SetBinContent(1,0.2626131); + S128_E_0->SetBinContent(2,5.205919); + S128_E_0->SetBinContent(3,3.861957); + S128_E_0->SetBinContent(4,2.409861); + S128_E_0->SetBinContent(5,1.359409); + S128_E_0->SetBinContent(6,0.7723915); + S128_E_0->SetBinContent(7,0.4325392); + S128_E_0->SetBinContent(8,0.4016436); + S128_E_0->SetBinContent(9,0.2471653); + S128_E_0->SetBinContent(10,0.1081348); + S128_E_0->SetBinContent(11,0.1390305); + S128_E_0->SetBinContent(12,0.1081348); + S128_E_0->SetBinContent(13,0.04634349); + S128_E_0->SetBinContent(14,0.0); + S128_E_0->SetBinContent(15,0.03089566); + S128_E_0->SetBinContent(16,0.03089566); + S128_E_0->SetBinContent(17,0.0); + S128_E_0->SetBinContent(18,0.0); + S128_E_0->SetBinContent(19,0.0); + S128_E_0->SetBinContent(20,0.03089566); + S128_E_0->SetBinContent(21,0.0); + S128_E_0->SetBinContent(22,0.0); + S128_E_0->SetBinContent(23,0.0); + S128_E_0->SetBinContent(24,0.0); + S128_E_0->SetBinContent(25,0.0); + S128_E_0->SetBinContent(26,0.0); + S128_E_0->SetBinContent(27,0.0); + S128_E_0->SetBinContent(28,0.0); + S128_E_0->SetBinContent(29,0.0); + S128_E_0->SetBinContent(30,0.0); + S128_E_0->SetBinContent(31,0.0); + S128_E_0->SetBinContent(32,0.0); + S128_E_0->SetBinContent(33,0.0); + S128_E_0->SetBinContent(34,0.0); + S128_E_0->SetBinContent(35,0.0); + S128_E_0->SetBinContent(36,0.0); + S128_E_0->SetBinContent(37,0.0); + S128_E_0->SetBinContent(38,0.0); + S128_E_0->SetBinContent(39,0.0); + S128_E_0->SetBinContent(40,0.0); + S128_E_0->SetBinContent(41,0.0); + S128_E_0->SetBinContent(42,0.0); + S128_E_0->SetBinContent(43,0.0); + S128_E_0->SetBinContent(44,0.0); + S128_E_0->SetBinContent(45,0.0); + S128_E_0->SetBinContent(46,0.0); + S128_E_0->SetBinContent(47,0.0); + S128_E_0->SetBinContent(48,0.0); + S128_E_0->SetBinContent(49,0.0); + S128_E_0->SetBinContent(50,0.0); + S128_E_0->SetBinContent(51,0.0); // overflow + S128_E_0->SetEntries(1000); + // Style + S128_E_0->SetLineColor(9); + S128_E_0->SetLineStyle(1); + S128_E_0->SetLineWidth(1); + S128_E_0->SetFillColor(9); + S128_E_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_256","mystack"); + stack->Add(S128_E_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E [ j_{1} ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_127.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_127.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_127.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_127.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_127.py new file mode 100644 index 00000000..0740cacb --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_127.py @@ -0,0 +1,62 @@ +def selection_127(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y128_E_0 + y128_E_0_weights = numpy.array([0.2626131,5.205919,3.861957,2.409861,1.359409,0.7723915,0.4325392,0.4016436,0.2471653,0.1081348,0.1390305,0.1081348,0.04634349,0.0,0.03089566,0.03089566,0.0,0.0,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y128_E_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E$ $[ j_{1} ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y128_E_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y128_E_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_127.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_127.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_127.eps') + +# Running! +if __name__ == '__main__': + selection_127() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_128.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_128.C new file mode 100644 index 00000000..35dfda8c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_128.C @@ -0,0 +1,117 @@ +void selection_128() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo257","canvas_plotflow_tempo257",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S129_MT_MET_0 = new TH1F("S129_MT_MET_0","S129_MT_MET_0",50,0.0,1000.0); + // Content + S129_MT_MET_0->SetBinContent(0,0.0); // underflow + S129_MT_MET_0->SetBinContent(1,1.467544); + S129_MT_MET_0->SetBinContent(2,1.63747); + S129_MT_MET_0->SetBinContent(3,1.745605); + S129_MT_MET_0->SetBinContent(4,1.915531); + S129_MT_MET_0->SetBinContent(5,2.116353); + S129_MT_MET_0->SetBinContent(6,1.85374); + S129_MT_MET_0->SetBinContent(7,1.204931); + S129_MT_MET_0->SetBinContent(8,1.019557); + S129_MT_MET_0->SetBinContent(9,0.633361); + S129_MT_MET_0->SetBinContent(10,0.726048); + S129_MT_MET_0->SetBinContent(11,0.3244044); + S129_MT_MET_0->SetBinContent(12,0.185374); + S129_MT_MET_0->SetBinContent(13,0.185374); + S129_MT_MET_0->SetBinContent(14,0.1235826); + S129_MT_MET_0->SetBinContent(15,0.07723915); + S129_MT_MET_0->SetBinContent(16,0.1081348); + S129_MT_MET_0->SetBinContent(17,0.03089566); + S129_MT_MET_0->SetBinContent(18,0.03089566); + S129_MT_MET_0->SetBinContent(19,0.03089566); + S129_MT_MET_0->SetBinContent(20,0.0); + S129_MT_MET_0->SetBinContent(21,0.0); + S129_MT_MET_0->SetBinContent(22,0.01544783); + S129_MT_MET_0->SetBinContent(23,0.0); + S129_MT_MET_0->SetBinContent(24,0.0); + S129_MT_MET_0->SetBinContent(25,0.01544783); + S129_MT_MET_0->SetBinContent(26,0.0); + S129_MT_MET_0->SetBinContent(27,0.0); + S129_MT_MET_0->SetBinContent(28,0.0); + S129_MT_MET_0->SetBinContent(29,0.0); + S129_MT_MET_0->SetBinContent(30,0.0); + S129_MT_MET_0->SetBinContent(31,0.0); + S129_MT_MET_0->SetBinContent(32,0.0); + S129_MT_MET_0->SetBinContent(33,0.0); + S129_MT_MET_0->SetBinContent(34,0.0); + S129_MT_MET_0->SetBinContent(35,0.0); + S129_MT_MET_0->SetBinContent(36,0.0); + S129_MT_MET_0->SetBinContent(37,0.0); + S129_MT_MET_0->SetBinContent(38,0.0); + S129_MT_MET_0->SetBinContent(39,0.0); + S129_MT_MET_0->SetBinContent(40,0.0); + S129_MT_MET_0->SetBinContent(41,0.0); + S129_MT_MET_0->SetBinContent(42,0.0); + S129_MT_MET_0->SetBinContent(43,0.0); + S129_MT_MET_0->SetBinContent(44,0.0); + S129_MT_MET_0->SetBinContent(45,0.0); + S129_MT_MET_0->SetBinContent(46,0.0); + S129_MT_MET_0->SetBinContent(47,0.0); + S129_MT_MET_0->SetBinContent(48,0.0); + S129_MT_MET_0->SetBinContent(49,0.0); + S129_MT_MET_0->SetBinContent(50,0.0); + S129_MT_MET_0->SetBinContent(51,0.0); // overflow + S129_MT_MET_0->SetEntries(1000); + // Style + S129_MT_MET_0->SetLineColor(9); + S129_MT_MET_0->SetLineStyle(1); + S129_MT_MET_0->SetLineWidth(1); + S129_MT_MET_0->SetFillColor(9); + S129_MT_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_258","mystack"); + stack->Add(S129_MT_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ j_{1} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_128.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_128.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_128.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_128.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_128.py new file mode 100644 index 00000000..7ffaee9c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_128.py @@ -0,0 +1,62 @@ +def selection_128(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y129_MT_MET_0 + y129_MT_MET_0_weights = numpy.array([1.467544,1.63747,1.745605,1.915531,2.116353,1.85374,1.204931,1.019557,0.633361,0.726048,0.3244044,0.185374,0.185374,0.1235826,0.07723915,0.1081348,0.03089566,0.03089566,0.03089566,0.0,0.0,0.01544783,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y129_MT_MET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ j_{1} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y129_MT_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y129_MT_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_128.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_128.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_128.eps') + +# Running! +if __name__ == '__main__': + selection_128() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_129.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_129.C new file mode 100644 index 00000000..c2938a87 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_129.C @@ -0,0 +1,117 @@ +void selection_129() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo259","canvas_plotflow_tempo259",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S130_PT_0 = new TH1F("S130_PT_0","S130_PT_0",50,0.0,1000.0); + // Content + S130_PT_0->SetBinContent(0,0.0); // underflow + S130_PT_0->SetBinContent(1,0.0); + S130_PT_0->SetBinContent(2,10.22646); + S130_PT_0->SetBinContent(3,3.614792); + S130_PT_0->SetBinContent(4,1.081348); + S130_PT_0->SetBinContent(5,0.3089566); + S130_PT_0->SetBinContent(6,0.1544783); + S130_PT_0->SetBinContent(7,0.01544783); + S130_PT_0->SetBinContent(8,0.04634349); + S130_PT_0->SetBinContent(9,0.0); + S130_PT_0->SetBinContent(10,0.0); + S130_PT_0->SetBinContent(11,0.0); + S130_PT_0->SetBinContent(12,0.0); + S130_PT_0->SetBinContent(13,0.0); + S130_PT_0->SetBinContent(14,0.0); + S130_PT_0->SetBinContent(15,0.0); + S130_PT_0->SetBinContent(16,0.0); + S130_PT_0->SetBinContent(17,0.0); + S130_PT_0->SetBinContent(18,0.0); + S130_PT_0->SetBinContent(19,0.0); + S130_PT_0->SetBinContent(20,0.0); + S130_PT_0->SetBinContent(21,0.0); + S130_PT_0->SetBinContent(22,0.0); + S130_PT_0->SetBinContent(23,0.0); + S130_PT_0->SetBinContent(24,0.0); + S130_PT_0->SetBinContent(25,0.0); + S130_PT_0->SetBinContent(26,0.0); + S130_PT_0->SetBinContent(27,0.0); + S130_PT_0->SetBinContent(28,0.0); + S130_PT_0->SetBinContent(29,0.0); + S130_PT_0->SetBinContent(30,0.0); + S130_PT_0->SetBinContent(31,0.0); + S130_PT_0->SetBinContent(32,0.0); + S130_PT_0->SetBinContent(33,0.0); + S130_PT_0->SetBinContent(34,0.0); + S130_PT_0->SetBinContent(35,0.0); + S130_PT_0->SetBinContent(36,0.0); + S130_PT_0->SetBinContent(37,0.0); + S130_PT_0->SetBinContent(38,0.0); + S130_PT_0->SetBinContent(39,0.0); + S130_PT_0->SetBinContent(40,0.0); + S130_PT_0->SetBinContent(41,0.0); + S130_PT_0->SetBinContent(42,0.0); + S130_PT_0->SetBinContent(43,0.0); + S130_PT_0->SetBinContent(44,0.0); + S130_PT_0->SetBinContent(45,0.0); + S130_PT_0->SetBinContent(46,0.0); + S130_PT_0->SetBinContent(47,0.0); + S130_PT_0->SetBinContent(48,0.0); + S130_PT_0->SetBinContent(49,0.0); + S130_PT_0->SetBinContent(50,0.0); + S130_PT_0->SetBinContent(51,0.0); // overflow + S130_PT_0->SetEntries(1000); + // Style + S130_PT_0->SetLineColor(9); + S130_PT_0->SetLineStyle(1); + S130_PT_0->SetLineWidth(1); + S130_PT_0->SetFillColor(9); + S130_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_260","mystack"); + stack->Add(S130_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ j_{2} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_129.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_129.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_129.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_129.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_129.py new file mode 100644 index 00000000..0685c81d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_129.py @@ -0,0 +1,62 @@ +def selection_129(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y130_PT_0 + y130_PT_0_weights = numpy.array([0.0,10.22646,3.614792,1.081348,0.3089566,0.1544783,0.01544783,0.04634349,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y130_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ j_{2} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y130_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y130_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_129.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_129.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_129.eps') + +# Running! +if __name__ == '__main__': + selection_129() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_13.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_13.C new file mode 100644 index 00000000..53ed2c1a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_13.C @@ -0,0 +1,117 @@ +void selection_13() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo27","canvas_plotflow_tempo27",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S14_ABSETA_0 = new TH1F("S14_ABSETA_0","S14_ABSETA_0",50,0.0,8.0); + // Content + S14_ABSETA_0->SetBinContent(0,0.0); // underflow + S14_ABSETA_0->SetBinContent(1,0.8805263); + S14_ABSETA_0->SetBinContent(2,0.8032872); + S14_ABSETA_0->SetBinContent(3,0.6488089); + S14_ABSETA_0->SetBinContent(4,0.8032872); + S14_ABSETA_0->SetBinContent(5,0.5252262); + S14_ABSETA_0->SetBinContent(6,0.6179132); + S14_ABSETA_0->SetBinContent(7,0.5870175); + S14_ABSETA_0->SetBinContent(8,0.633361); + S14_ABSETA_0->SetBinContent(9,0.4016436); + S14_ABSETA_0->SetBinContent(10,0.4479871); + S14_ABSETA_0->SetBinContent(11,0.3398523); + S14_ABSETA_0->SetBinContent(12,0.3861957); + S14_ABSETA_0->SetBinContent(13,0.1699261); + S14_ABSETA_0->SetBinContent(14,0.2780609); + S14_ABSETA_0->SetBinContent(15,0.1699261); + S14_ABSETA_0->SetBinContent(16,0.1235826); + S14_ABSETA_0->SetBinContent(17,0.0); + S14_ABSETA_0->SetBinContent(18,0.0); + S14_ABSETA_0->SetBinContent(19,0.0); + S14_ABSETA_0->SetBinContent(20,0.0); + S14_ABSETA_0->SetBinContent(21,0.0); + S14_ABSETA_0->SetBinContent(22,0.0); + S14_ABSETA_0->SetBinContent(23,0.0); + S14_ABSETA_0->SetBinContent(24,0.0); + S14_ABSETA_0->SetBinContent(25,0.0); + S14_ABSETA_0->SetBinContent(26,0.0); + S14_ABSETA_0->SetBinContent(27,0.0); + S14_ABSETA_0->SetBinContent(28,0.0); + S14_ABSETA_0->SetBinContent(29,0.0); + S14_ABSETA_0->SetBinContent(30,0.0); + S14_ABSETA_0->SetBinContent(31,0.0); + S14_ABSETA_0->SetBinContent(32,0.0); + S14_ABSETA_0->SetBinContent(33,0.0); + S14_ABSETA_0->SetBinContent(34,0.0); + S14_ABSETA_0->SetBinContent(35,0.0); + S14_ABSETA_0->SetBinContent(36,0.0); + S14_ABSETA_0->SetBinContent(37,0.0); + S14_ABSETA_0->SetBinContent(38,0.0); + S14_ABSETA_0->SetBinContent(39,0.0); + S14_ABSETA_0->SetBinContent(40,0.0); + S14_ABSETA_0->SetBinContent(41,0.0); + S14_ABSETA_0->SetBinContent(42,0.0); + S14_ABSETA_0->SetBinContent(43,0.0); + S14_ABSETA_0->SetBinContent(44,0.0); + S14_ABSETA_0->SetBinContent(45,0.0); + S14_ABSETA_0->SetBinContent(46,0.0); + S14_ABSETA_0->SetBinContent(47,0.0); + S14_ABSETA_0->SetBinContent(48,0.0); + S14_ABSETA_0->SetBinContent(49,0.0); + S14_ABSETA_0->SetBinContent(50,0.0); + S14_ABSETA_0->SetBinContent(51,0.0); // overflow + S14_ABSETA_0->SetEntries(506); + // Style + S14_ABSETA_0->SetLineColor(9); + S14_ABSETA_0->SetLineStyle(1); + S14_ABSETA_0->SetLineWidth(1); + S14_ABSETA_0->SetFillColor(9); + S14_ABSETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_28","mystack"); + stack->Add(S14_ABSETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("|#eta| [ e ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_13.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_13.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_13.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_13.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_13.py new file mode 100644 index 00000000..9d39d421 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_13.py @@ -0,0 +1,62 @@ +def selection_13(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.08,0.24,0.4,0.56,0.72,0.88,1.04,1.2,1.36,1.52,1.68,1.84,2.0,2.16,2.32,2.48,2.64,2.8000000000000003,2.96,3.12,3.2800000000000002,3.44,3.6,3.7600000000000002,3.92,4.08,4.24,4.4,4.5600000000000005,4.72,4.88,5.04,5.2,5.36,5.5200000000000005,5.68,5.84,6.0,6.16,6.32,6.48,6.640000000000001,6.8,6.96,7.12,7.28,7.44,7.6000000000000005,7.76,7.92]) + + # Creating weights for histo: y14_ABSETA_0 + y14_ABSETA_0_weights = numpy.array([0.8805263,0.8032872,0.6488089,0.8032872,0.5252262,0.6179132,0.5870175,0.633361,0.4016436,0.4479871,0.3398523,0.3861957,0.1699261,0.2780609,0.1699261,0.1235826,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y14_ABSETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$|\eta|$ $[ e ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y14_ABSETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y14_ABSETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_13.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_13.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_13.eps') + +# Running! +if __name__ == '__main__': + selection_13() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_130.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_130.C new file mode 100644 index 00000000..8928f863 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_130.C @@ -0,0 +1,117 @@ +void selection_130() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo261","canvas_plotflow_tempo261",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S131_ETA_0 = new TH1F("S131_ETA_0","S131_ETA_0",50,-8.0,8.0); + // Content + S131_ETA_0->SetBinContent(0,0.0); // underflow + S131_ETA_0->SetBinContent(1,0.0); + S131_ETA_0->SetBinContent(2,0.0); + S131_ETA_0->SetBinContent(3,0.0); + S131_ETA_0->SetBinContent(4,0.0); + S131_ETA_0->SetBinContent(5,0.0); + S131_ETA_0->SetBinContent(6,0.0); + S131_ETA_0->SetBinContent(7,0.0); + S131_ETA_0->SetBinContent(8,0.0); + S131_ETA_0->SetBinContent(9,0.0); + S131_ETA_0->SetBinContent(10,0.0); + S131_ETA_0->SetBinContent(11,0.0); + S131_ETA_0->SetBinContent(12,0.0); + S131_ETA_0->SetBinContent(13,0.0); + S131_ETA_0->SetBinContent(14,0.0); + S131_ETA_0->SetBinContent(15,0.04634349); + S131_ETA_0->SetBinContent(16,0.1235826); + S131_ETA_0->SetBinContent(17,0.1081348); + S131_ETA_0->SetBinContent(18,0.2935088); + S131_ETA_0->SetBinContent(19,0.4788827); + S131_ETA_0->SetBinContent(20,0.5097784); + S131_ETA_0->SetBinContent(21,0.8496306); + S131_ETA_0->SetBinContent(22,1.019557); + S131_ETA_0->SetBinContent(23,1.374857); + S131_ETA_0->SetBinContent(24,1.374857); + S131_ETA_0->SetBinContent(25,1.544783); + S131_ETA_0->SetBinContent(26,1.683813); + S131_ETA_0->SetBinContent(27,1.220379); + S131_ETA_0->SetBinContent(28,1.035005); + S131_ETA_0->SetBinContent(29,0.8959741); + S131_ETA_0->SetBinContent(30,1.035005); + S131_ETA_0->SetBinContent(31,0.7106002); + S131_ETA_0->SetBinContent(32,0.4634349); + S131_ETA_0->SetBinContent(33,0.2626131); + S131_ETA_0->SetBinContent(34,0.3244044); + S131_ETA_0->SetBinContent(35,0.07723915); + S131_ETA_0->SetBinContent(36,0.01544783); + S131_ETA_0->SetBinContent(37,0.0); + S131_ETA_0->SetBinContent(38,0.0); + S131_ETA_0->SetBinContent(39,0.0); + S131_ETA_0->SetBinContent(40,0.0); + S131_ETA_0->SetBinContent(41,0.0); + S131_ETA_0->SetBinContent(42,0.0); + S131_ETA_0->SetBinContent(43,0.0); + S131_ETA_0->SetBinContent(44,0.0); + S131_ETA_0->SetBinContent(45,0.0); + S131_ETA_0->SetBinContent(46,0.0); + S131_ETA_0->SetBinContent(47,0.0); + S131_ETA_0->SetBinContent(48,0.0); + S131_ETA_0->SetBinContent(49,0.0); + S131_ETA_0->SetBinContent(50,0.0); + S131_ETA_0->SetBinContent(51,0.0); // overflow + S131_ETA_0->SetEntries(1000); + // Style + S131_ETA_0->SetLineColor(9); + S131_ETA_0->SetLineStyle(1); + S131_ETA_0->SetLineWidth(1); + S131_ETA_0->SetFillColor(9); + S131_ETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_262","mystack"); + stack->Add(S131_ETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#eta [ j_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_130.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_130.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_130.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_130.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_130.py new file mode 100644 index 00000000..e1b47be0 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_130.py @@ -0,0 +1,62 @@ +def selection_130(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y131_ETA_0 + y131_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04634349,0.1235826,0.1081348,0.2935088,0.4788827,0.5097784,0.8496306,1.019557,1.374857,1.374857,1.544783,1.683813,1.220379,1.035005,0.8959741,1.035005,0.7106002,0.4634349,0.2626131,0.3244044,0.07723915,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y131_ETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\eta$ $[ j_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y131_ETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y131_ETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_130.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_130.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_130.eps') + +# Running! +if __name__ == '__main__': + selection_130() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_131.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_131.C new file mode 100644 index 00000000..28d5e803 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_131.C @@ -0,0 +1,99 @@ +void selection_131() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo263","canvas_plotflow_tempo263",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S132_PHI_0 = new TH1F("S132_PHI_0","S132_PHI_0",32,-3.2,3.2); + // Content + S132_PHI_0->SetBinContent(0,0.0); // underflow + S132_PHI_0->SetBinContent(1,0.4479871); + S132_PHI_0->SetBinContent(2,0.4479871); + S132_PHI_0->SetBinContent(3,0.4170914); + S132_PHI_0->SetBinContent(4,0.3707479); + S132_PHI_0->SetBinContent(5,0.4170914); + S132_PHI_0->SetBinContent(6,0.4016436); + S132_PHI_0->SetBinContent(7,0.6179132); + S132_PHI_0->SetBinContent(8,0.5870175); + S132_PHI_0->SetBinContent(9,0.4943306); + S132_PHI_0->SetBinContent(10,0.4634349); + S132_PHI_0->SetBinContent(11,0.5097784); + S132_PHI_0->SetBinContent(12,0.4170914); + S132_PHI_0->SetBinContent(13,0.3553001); + S132_PHI_0->SetBinContent(14,0.4634349); + S132_PHI_0->SetBinContent(15,0.5252262); + S132_PHI_0->SetBinContent(16,0.4788827); + S132_PHI_0->SetBinContent(17,0.3861957); + S132_PHI_0->SetBinContent(18,0.6179132); + S132_PHI_0->SetBinContent(19,0.4170914); + S132_PHI_0->SetBinContent(20,0.6024654); + S132_PHI_0->SetBinContent(21,0.4170914); + S132_PHI_0->SetBinContent(22,0.4325392); + S132_PHI_0->SetBinContent(23,0.4943306); + S132_PHI_0->SetBinContent(24,0.4170914); + S132_PHI_0->SetBinContent(25,0.5715697); + S132_PHI_0->SetBinContent(26,0.4943306); + S132_PHI_0->SetBinContent(27,0.4634349); + S132_PHI_0->SetBinContent(28,0.6024654); + S132_PHI_0->SetBinContent(29,0.5561219); + S132_PHI_0->SetBinContent(30,0.5561219); + S132_PHI_0->SetBinContent(31,0.5870175); + S132_PHI_0->SetBinContent(32,0.4170914); + S132_PHI_0->SetBinContent(33,0.0); // overflow + S132_PHI_0->SetEntries(1000); + // Style + S132_PHI_0->SetLineColor(9); + S132_PHI_0->SetLineStyle(1); + S132_PHI_0->SetLineWidth(1); + S132_PHI_0->SetFillColor(9); + S132_PHI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_264","mystack"); + stack->Add(S132_PHI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#phi [ j_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_131.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_131.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_131.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_131.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_131.py new file mode 100644 index 00000000..5e9ea3d1 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_131.py @@ -0,0 +1,62 @@ +def selection_131(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) + + # Creating weights for histo: y132_PHI_0 + y132_PHI_0_weights = numpy.array([0.4479871,0.4479871,0.4170914,0.3707479,0.4170914,0.4016436,0.6179132,0.5870175,0.4943306,0.4634349,0.5097784,0.4170914,0.3553001,0.4634349,0.5252262,0.4788827,0.3861957,0.6179132,0.4170914,0.6024654,0.4170914,0.4325392,0.4943306,0.4170914,0.5715697,0.4943306,0.4634349,0.6024654,0.5561219,0.5561219,0.5870175,0.4170914]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y132_PHI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\phi$ $[ j_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y132_PHI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y132_PHI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_131.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_131.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_131.eps') + +# Running! +if __name__ == '__main__': + selection_131() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_132.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_132.C new file mode 100644 index 00000000..efd10ae5 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_132.C @@ -0,0 +1,117 @@ +void selection_132() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo265","canvas_plotflow_tempo265",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S133_E_0 = new TH1F("S133_E_0","S133_E_0",50,0.0,2000.0); + // Content + S133_E_0->SetBinContent(0,0.0); // underflow + S133_E_0->SetBinContent(1,4.294497); + S133_E_0->SetBinContent(2,6.271819); + S133_E_0->SetBinContent(3,2.224487); + S133_E_0->SetBinContent(4,1.174035); + S133_E_0->SetBinContent(5,0.4788827); + S133_E_0->SetBinContent(6,0.3861957); + S133_E_0->SetBinContent(7,0.2626131); + S133_E_0->SetBinContent(8,0.1544783); + S133_E_0->SetBinContent(9,0.03089566); + S133_E_0->SetBinContent(10,0.06179132); + S133_E_0->SetBinContent(11,0.04634349); + S133_E_0->SetBinContent(12,0.03089566); + S133_E_0->SetBinContent(13,0.0); + S133_E_0->SetBinContent(14,0.01544783); + S133_E_0->SetBinContent(15,0.01544783); + S133_E_0->SetBinContent(16,0.0); + S133_E_0->SetBinContent(17,0.0); + S133_E_0->SetBinContent(18,0.0); + S133_E_0->SetBinContent(19,0.0); + S133_E_0->SetBinContent(20,0.0); + S133_E_0->SetBinContent(21,0.0); + S133_E_0->SetBinContent(22,0.0); + S133_E_0->SetBinContent(23,0.0); + S133_E_0->SetBinContent(24,0.0); + S133_E_0->SetBinContent(25,0.0); + S133_E_0->SetBinContent(26,0.0); + S133_E_0->SetBinContent(27,0.0); + S133_E_0->SetBinContent(28,0.0); + S133_E_0->SetBinContent(29,0.0); + S133_E_0->SetBinContent(30,0.0); + S133_E_0->SetBinContent(31,0.0); + S133_E_0->SetBinContent(32,0.0); + S133_E_0->SetBinContent(33,0.0); + S133_E_0->SetBinContent(34,0.0); + S133_E_0->SetBinContent(35,0.0); + S133_E_0->SetBinContent(36,0.0); + S133_E_0->SetBinContent(37,0.0); + S133_E_0->SetBinContent(38,0.0); + S133_E_0->SetBinContent(39,0.0); + S133_E_0->SetBinContent(40,0.0); + S133_E_0->SetBinContent(41,0.0); + S133_E_0->SetBinContent(42,0.0); + S133_E_0->SetBinContent(43,0.0); + S133_E_0->SetBinContent(44,0.0); + S133_E_0->SetBinContent(45,0.0); + S133_E_0->SetBinContent(46,0.0); + S133_E_0->SetBinContent(47,0.0); + S133_E_0->SetBinContent(48,0.0); + S133_E_0->SetBinContent(49,0.0); + S133_E_0->SetBinContent(50,0.0); + S133_E_0->SetBinContent(51,0.0); // overflow + S133_E_0->SetEntries(1000); + // Style + S133_E_0->SetLineColor(9); + S133_E_0->SetLineStyle(1); + S133_E_0->SetLineWidth(1); + S133_E_0->SetFillColor(9); + S133_E_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_266","mystack"); + stack->Add(S133_E_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E [ j_{2} ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_132.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_132.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_132.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_132.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_132.py new file mode 100644 index 00000000..7bdac76a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_132.py @@ -0,0 +1,62 @@ +def selection_132(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y133_E_0 + y133_E_0_weights = numpy.array([4.294497,6.271819,2.224487,1.174035,0.4788827,0.3861957,0.2626131,0.1544783,0.03089566,0.06179132,0.04634349,0.03089566,0.0,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y133_E_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E$ $[ j_{2} ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y133_E_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y133_E_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_132.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_132.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_132.eps') + +# Running! +if __name__ == '__main__': + selection_132() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_133.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_133.C new file mode 100644 index 00000000..32fc0cd9 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_133.C @@ -0,0 +1,117 @@ +void selection_133() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo267","canvas_plotflow_tempo267",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S134_MT_MET_0 = new TH1F("S134_MT_MET_0","S134_MT_MET_0",50,0.0,1000.0); + // Content + S134_MT_MET_0->SetBinContent(0,0.0); // underflow + S134_MT_MET_0->SetBinContent(1,2.116353); + S134_MT_MET_0->SetBinContent(2,2.626131); + S134_MT_MET_0->SetBinContent(3,3.321283); + S134_MT_MET_0->SetBinContent(4,2.70337); + S134_MT_MET_0->SetBinContent(5,1.915531); + S134_MT_MET_0->SetBinContent(6,1.050452); + S134_MT_MET_0->SetBinContent(7,0.6024654); + S134_MT_MET_0->SetBinContent(8,0.3861957); + S134_MT_MET_0->SetBinContent(9,0.3707479); + S134_MT_MET_0->SetBinContent(10,0.1390305); + S134_MT_MET_0->SetBinContent(11,0.07723915); + S134_MT_MET_0->SetBinContent(12,0.01544783); + S134_MT_MET_0->SetBinContent(13,0.03089566); + S134_MT_MET_0->SetBinContent(14,0.04634349); + S134_MT_MET_0->SetBinContent(15,0.01544783); + S134_MT_MET_0->SetBinContent(16,0.0); + S134_MT_MET_0->SetBinContent(17,0.01544783); + S134_MT_MET_0->SetBinContent(18,0.01544783); + S134_MT_MET_0->SetBinContent(19,0.0); + S134_MT_MET_0->SetBinContent(20,0.0); + S134_MT_MET_0->SetBinContent(21,0.0); + S134_MT_MET_0->SetBinContent(22,0.0); + S134_MT_MET_0->SetBinContent(23,0.0); + S134_MT_MET_0->SetBinContent(24,0.0); + S134_MT_MET_0->SetBinContent(25,0.0); + S134_MT_MET_0->SetBinContent(26,0.0); + S134_MT_MET_0->SetBinContent(27,0.0); + S134_MT_MET_0->SetBinContent(28,0.0); + S134_MT_MET_0->SetBinContent(29,0.0); + S134_MT_MET_0->SetBinContent(30,0.0); + S134_MT_MET_0->SetBinContent(31,0.0); + S134_MT_MET_0->SetBinContent(32,0.0); + S134_MT_MET_0->SetBinContent(33,0.0); + S134_MT_MET_0->SetBinContent(34,0.0); + S134_MT_MET_0->SetBinContent(35,0.0); + S134_MT_MET_0->SetBinContent(36,0.0); + S134_MT_MET_0->SetBinContent(37,0.0); + S134_MT_MET_0->SetBinContent(38,0.0); + S134_MT_MET_0->SetBinContent(39,0.0); + S134_MT_MET_0->SetBinContent(40,0.0); + S134_MT_MET_0->SetBinContent(41,0.0); + S134_MT_MET_0->SetBinContent(42,0.0); + S134_MT_MET_0->SetBinContent(43,0.0); + S134_MT_MET_0->SetBinContent(44,0.0); + S134_MT_MET_0->SetBinContent(45,0.0); + S134_MT_MET_0->SetBinContent(46,0.0); + S134_MT_MET_0->SetBinContent(47,0.0); + S134_MT_MET_0->SetBinContent(48,0.0); + S134_MT_MET_0->SetBinContent(49,0.0); + S134_MT_MET_0->SetBinContent(50,0.0); + S134_MT_MET_0->SetBinContent(51,0.0); // overflow + S134_MT_MET_0->SetEntries(1000); + // Style + S134_MT_MET_0->SetLineColor(9); + S134_MT_MET_0->SetLineStyle(1); + S134_MT_MET_0->SetLineWidth(1); + S134_MT_MET_0->SetFillColor(9); + S134_MT_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_268","mystack"); + stack->Add(S134_MT_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ j_{2} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_133.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_133.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_133.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_133.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_133.py new file mode 100644 index 00000000..9a44c040 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_133.py @@ -0,0 +1,62 @@ +def selection_133(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y134_MT_MET_0 + y134_MT_MET_0_weights = numpy.array([2.116353,2.626131,3.321283,2.70337,1.915531,1.050452,0.6024654,0.3861957,0.3707479,0.1390305,0.07723915,0.01544783,0.03089566,0.04634349,0.01544783,0.0,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y134_MT_MET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ j_{2} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y134_MT_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y134_MT_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_133.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_133.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_133.eps') + +# Running! +if __name__ == '__main__': + selection_133() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_134.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_134.C new file mode 100644 index 00000000..51da5bc7 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_134.C @@ -0,0 +1,117 @@ +void selection_134() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo269","canvas_plotflow_tempo269",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S135_M_0 = new TH1F("S135_M_0","S135_M_0",50,0.0,3000.0); + // Content + S135_M_0->SetBinContent(0,0.0); // underflow + S135_M_0->SetBinContent(1,0.07723915); + S135_M_0->SetBinContent(2,15.37059); + S135_M_0->SetBinContent(3,0.0); + S135_M_0->SetBinContent(4,0.0); + S135_M_0->SetBinContent(5,0.0); + S135_M_0->SetBinContent(6,0.0); + S135_M_0->SetBinContent(7,0.0); + S135_M_0->SetBinContent(8,0.0); + S135_M_0->SetBinContent(9,0.0); + S135_M_0->SetBinContent(10,0.0); + S135_M_0->SetBinContent(11,0.0); + S135_M_0->SetBinContent(12,0.0); + S135_M_0->SetBinContent(13,0.0); + S135_M_0->SetBinContent(14,0.0); + S135_M_0->SetBinContent(15,0.0); + S135_M_0->SetBinContent(16,0.0); + S135_M_0->SetBinContent(17,0.0); + S135_M_0->SetBinContent(18,0.0); + S135_M_0->SetBinContent(19,0.0); + S135_M_0->SetBinContent(20,0.0); + S135_M_0->SetBinContent(21,0.0); + S135_M_0->SetBinContent(22,0.0); + S135_M_0->SetBinContent(23,0.0); + S135_M_0->SetBinContent(24,0.0); + S135_M_0->SetBinContent(25,0.0); + S135_M_0->SetBinContent(26,0.0); + S135_M_0->SetBinContent(27,0.0); + S135_M_0->SetBinContent(28,0.0); + S135_M_0->SetBinContent(29,0.0); + S135_M_0->SetBinContent(30,0.0); + S135_M_0->SetBinContent(31,0.0); + S135_M_0->SetBinContent(32,0.0); + S135_M_0->SetBinContent(33,0.0); + S135_M_0->SetBinContent(34,0.0); + S135_M_0->SetBinContent(35,0.0); + S135_M_0->SetBinContent(36,0.0); + S135_M_0->SetBinContent(37,0.0); + S135_M_0->SetBinContent(38,0.0); + S135_M_0->SetBinContent(39,0.0); + S135_M_0->SetBinContent(40,0.0); + S135_M_0->SetBinContent(41,0.0); + S135_M_0->SetBinContent(42,0.0); + S135_M_0->SetBinContent(43,0.0); + S135_M_0->SetBinContent(44,0.0); + S135_M_0->SetBinContent(45,0.0); + S135_M_0->SetBinContent(46,0.0); + S135_M_0->SetBinContent(47,0.0); + S135_M_0->SetBinContent(48,0.0); + S135_M_0->SetBinContent(49,0.0); + S135_M_0->SetBinContent(50,0.0); + S135_M_0->SetBinContent(51,0.0); // overflow + S135_M_0->SetEntries(1000); + // Style + S135_M_0->SetLineColor(9); + S135_M_0->SetLineStyle(1); + S135_M_0->SetLineWidth(1); + S135_M_0->SetFillColor(9); + S135_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_270","mystack"); + stack->Add(S135_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ j_{1} j_{2} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_134.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_134.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_134.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_134.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_134.py new file mode 100644 index 00000000..ff330a2b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_134.py @@ -0,0 +1,62 @@ +def selection_134(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) + + # Creating weights for histo: y135_M_0 + y135_M_0_weights = numpy.array([0.07723915,15.37059,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y135_M_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ j_{1} j_{2} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y135_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y135_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_134.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_134.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_134.eps') + +# Running! +if __name__ == '__main__': + selection_134() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_135.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_135.C new file mode 100644 index 00000000..f0f1c99d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_135.C @@ -0,0 +1,117 @@ +void selection_135() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo271","canvas_plotflow_tempo271",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S136_PT_0 = new TH1F("S136_PT_0","S136_PT_0",50,0.0,3000.0); + // Content + S136_PT_0->SetBinContent(0,0.0); // underflow + S136_PT_0->SetBinContent(1,5.514875); + S136_PT_0->SetBinContent(2,6.472641); + S136_PT_0->SetBinContent(3,2.595235); + S136_PT_0->SetBinContent(4,0.6024654); + S136_PT_0->SetBinContent(5,0.1544783); + S136_PT_0->SetBinContent(6,0.07723915); + S136_PT_0->SetBinContent(7,0.03089566); + S136_PT_0->SetBinContent(8,0.0); + S136_PT_0->SetBinContent(9,0.0); + S136_PT_0->SetBinContent(10,0.0); + S136_PT_0->SetBinContent(11,0.0); + S136_PT_0->SetBinContent(12,0.0); + S136_PT_0->SetBinContent(13,0.0); + S136_PT_0->SetBinContent(14,0.0); + S136_PT_0->SetBinContent(15,0.0); + S136_PT_0->SetBinContent(16,0.0); + S136_PT_0->SetBinContent(17,0.0); + S136_PT_0->SetBinContent(18,0.0); + S136_PT_0->SetBinContent(19,0.0); + S136_PT_0->SetBinContent(20,0.0); + S136_PT_0->SetBinContent(21,0.0); + S136_PT_0->SetBinContent(22,0.0); + S136_PT_0->SetBinContent(23,0.0); + S136_PT_0->SetBinContent(24,0.0); + S136_PT_0->SetBinContent(25,0.0); + S136_PT_0->SetBinContent(26,0.0); + S136_PT_0->SetBinContent(27,0.0); + S136_PT_0->SetBinContent(28,0.0); + S136_PT_0->SetBinContent(29,0.0); + S136_PT_0->SetBinContent(30,0.0); + S136_PT_0->SetBinContent(31,0.0); + S136_PT_0->SetBinContent(32,0.0); + S136_PT_0->SetBinContent(33,0.0); + S136_PT_0->SetBinContent(34,0.0); + S136_PT_0->SetBinContent(35,0.0); + S136_PT_0->SetBinContent(36,0.0); + S136_PT_0->SetBinContent(37,0.0); + S136_PT_0->SetBinContent(38,0.0); + S136_PT_0->SetBinContent(39,0.0); + S136_PT_0->SetBinContent(40,0.0); + S136_PT_0->SetBinContent(41,0.0); + S136_PT_0->SetBinContent(42,0.0); + S136_PT_0->SetBinContent(43,0.0); + S136_PT_0->SetBinContent(44,0.0); + S136_PT_0->SetBinContent(45,0.0); + S136_PT_0->SetBinContent(46,0.0); + S136_PT_0->SetBinContent(47,0.0); + S136_PT_0->SetBinContent(48,0.0); + S136_PT_0->SetBinContent(49,0.0); + S136_PT_0->SetBinContent(50,0.0); + S136_PT_0->SetBinContent(51,0.0); // overflow + S136_PT_0->SetEntries(1000); + // Style + S136_PT_0->SetLineColor(9); + S136_PT_0->SetLineStyle(1); + S136_PT_0->SetLineWidth(1); + S136_PT_0->SetFillColor(9); + S136_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_272","mystack"); + stack->Add(S136_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ j_{1} j_{2} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_135.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_135.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_135.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_135.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_135.py new file mode 100644 index 00000000..43f9ae0f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_135.py @@ -0,0 +1,62 @@ +def selection_135(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) + + # Creating weights for histo: y136_PT_0 + y136_PT_0_weights = numpy.array([5.514875,6.472641,2.595235,0.6024654,0.1544783,0.07723915,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y136_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ j_{1} j_{2} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y136_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y136_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_135.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_135.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_135.eps') + +# Running! +if __name__ == '__main__': + selection_135() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_136.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_136.C new file mode 100644 index 00000000..ffc5d07d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_136.C @@ -0,0 +1,117 @@ +void selection_136() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo273","canvas_plotflow_tempo273",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S137_DELTAR_0 = new TH1F("S137_DELTAR_0","S137_DELTAR_0",50,0.0,10.0); + // Content + S137_DELTAR_0->SetBinContent(0,0.0); // underflow + S137_DELTAR_0->SetBinContent(1,0.0); + S137_DELTAR_0->SetBinContent(2,0.0); + S137_DELTAR_0->SetBinContent(3,0.1390305); + S137_DELTAR_0->SetBinContent(4,0.3553001); + S137_DELTAR_0->SetBinContent(5,0.6642567); + S137_DELTAR_0->SetBinContent(6,1.4212); + S137_DELTAR_0->SetBinContent(7,1.4212); + S137_DELTAR_0->SetBinContent(8,1.63747); + S137_DELTAR_0->SetBinContent(9,1.560231); + S137_DELTAR_0->SetBinContent(10,1.591126); + S137_DELTAR_0->SetBinContent(11,1.683813); + S137_DELTAR_0->SetBinContent(12,1.112244); + S137_DELTAR_0->SetBinContent(13,0.9423176); + S137_DELTAR_0->SetBinContent(14,1.035005); + S137_DELTAR_0->SetBinContent(15,0.8805263); + S137_DELTAR_0->SetBinContent(16,0.6024654); + S137_DELTAR_0->SetBinContent(17,0.2780609); + S137_DELTAR_0->SetBinContent(18,0.1081348); + S137_DELTAR_0->SetBinContent(19,0.0); + S137_DELTAR_0->SetBinContent(20,0.01544783); + S137_DELTAR_0->SetBinContent(21,0.0); + S137_DELTAR_0->SetBinContent(22,0.0); + S137_DELTAR_0->SetBinContent(23,0.0); + S137_DELTAR_0->SetBinContent(24,0.0); + S137_DELTAR_0->SetBinContent(25,0.0); + S137_DELTAR_0->SetBinContent(26,0.0); + S137_DELTAR_0->SetBinContent(27,0.0); + S137_DELTAR_0->SetBinContent(28,0.0); + S137_DELTAR_0->SetBinContent(29,0.0); + S137_DELTAR_0->SetBinContent(30,0.0); + S137_DELTAR_0->SetBinContent(31,0.0); + S137_DELTAR_0->SetBinContent(32,0.0); + S137_DELTAR_0->SetBinContent(33,0.0); + S137_DELTAR_0->SetBinContent(34,0.0); + S137_DELTAR_0->SetBinContent(35,0.0); + S137_DELTAR_0->SetBinContent(36,0.0); + S137_DELTAR_0->SetBinContent(37,0.0); + S137_DELTAR_0->SetBinContent(38,0.0); + S137_DELTAR_0->SetBinContent(39,0.0); + S137_DELTAR_0->SetBinContent(40,0.0); + S137_DELTAR_0->SetBinContent(41,0.0); + S137_DELTAR_0->SetBinContent(42,0.0); + S137_DELTAR_0->SetBinContent(43,0.0); + S137_DELTAR_0->SetBinContent(44,0.0); + S137_DELTAR_0->SetBinContent(45,0.0); + S137_DELTAR_0->SetBinContent(46,0.0); + S137_DELTAR_0->SetBinContent(47,0.0); + S137_DELTAR_0->SetBinContent(48,0.0); + S137_DELTAR_0->SetBinContent(49,0.0); + S137_DELTAR_0->SetBinContent(50,0.0); + S137_DELTAR_0->SetBinContent(51,0.0); // overflow + S137_DELTAR_0->SetEntries(1000); + // Style + S137_DELTAR_0->SetLineColor(9); + S137_DELTAR_0->SetLineStyle(1); + S137_DELTAR_0->SetLineWidth(1); + S137_DELTAR_0->SetFillColor(9); + S137_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_274","mystack"); + stack->Add(S137_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ j_{1}, j_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_136.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_136.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_136.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_136.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_136.py new file mode 100644 index 00000000..37de1d37 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_136.py @@ -0,0 +1,62 @@ +def selection_136(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y137_DELTAR_0 + y137_DELTAR_0_weights = numpy.array([0.0,0.0,0.1390305,0.3553001,0.6642567,1.4212,1.4212,1.63747,1.560231,1.591126,1.683813,1.112244,0.9423176,1.035005,0.8805263,0.6024654,0.2780609,0.1081348,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y137_DELTAR_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ j_{1}, j_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y137_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y137_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_136.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_136.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_136.eps') + +# Running! +if __name__ == '__main__': + selection_136() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_137.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_137.C new file mode 100644 index 00000000..0b02ac87 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_137.C @@ -0,0 +1,99 @@ +void selection_137() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo275","canvas_plotflow_tempo275",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S138_DPHI_0_PI_0 = new TH1F("S138_DPHI_0_PI_0","S138_DPHI_0_PI_0",32,0.0,3.2); + // Content + S138_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow + S138_DPHI_0_PI_0->SetBinContent(1,0.2935088); + S138_DPHI_0_PI_0->SetBinContent(2,0.3861957); + S138_DPHI_0_PI_0->SetBinContent(3,0.3553001); + S138_DPHI_0_PI_0->SetBinContent(4,0.3244044); + S138_DPHI_0_PI_0->SetBinContent(5,0.4016436); + S138_DPHI_0_PI_0->SetBinContent(6,0.3707479); + S138_DPHI_0_PI_0->SetBinContent(7,0.4325392); + S138_DPHI_0_PI_0->SetBinContent(8,0.4634349); + S138_DPHI_0_PI_0->SetBinContent(9,0.6024654); + S138_DPHI_0_PI_0->SetBinContent(10,0.5715697); + S138_DPHI_0_PI_0->SetBinContent(11,0.7878393); + S138_DPHI_0_PI_0->SetBinContent(12,0.6797045); + S138_DPHI_0_PI_0->SetBinContent(13,0.7878393); + S138_DPHI_0_PI_0->SetBinContent(14,0.4170914); + S138_DPHI_0_PI_0->SetBinContent(15,0.6024654); + S138_DPHI_0_PI_0->SetBinContent(16,0.7723915); + S138_DPHI_0_PI_0->SetBinContent(17,0.5715697); + S138_DPHI_0_PI_0->SetBinContent(18,0.540674); + S138_DPHI_0_PI_0->SetBinContent(19,0.5561219); + S138_DPHI_0_PI_0->SetBinContent(20,0.5870175); + S138_DPHI_0_PI_0->SetBinContent(21,0.6488089); + S138_DPHI_0_PI_0->SetBinContent(22,0.5715697); + S138_DPHI_0_PI_0->SetBinContent(23,0.4943306); + S138_DPHI_0_PI_0->SetBinContent(24,0.4325392); + S138_DPHI_0_PI_0->SetBinContent(25,0.3553001); + S138_DPHI_0_PI_0->SetBinContent(26,0.3861957); + S138_DPHI_0_PI_0->SetBinContent(27,0.4788827); + S138_DPHI_0_PI_0->SetBinContent(28,0.4479871); + S138_DPHI_0_PI_0->SetBinContent(29,0.3398523); + S138_DPHI_0_PI_0->SetBinContent(30,0.3553001); + S138_DPHI_0_PI_0->SetBinContent(31,0.2317174); + S138_DPHI_0_PI_0->SetBinContent(32,0.2008218); + S138_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow + S138_DPHI_0_PI_0->SetEntries(1000); + // Style + S138_DPHI_0_PI_0->SetLineColor(9); + S138_DPHI_0_PI_0->SetLineStyle(1); + S138_DPHI_0_PI_0->SetLineWidth(1); + S138_DPHI_0_PI_0->SetFillColor(9); + S138_DPHI_0_PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_276","mystack"); + stack->Add(S138_DPHI_0_PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ j_{1}, j_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_137.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_137.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_137.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_137.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_137.py new file mode 100644 index 00000000..fb394255 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_137.py @@ -0,0 +1,62 @@ +def selection_137(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) + + # Creating weights for histo: y138_DPHI_0_PI_0 + y138_DPHI_0_PI_0_weights = numpy.array([0.2935088,0.3861957,0.3553001,0.3244044,0.4016436,0.3707479,0.4325392,0.4634349,0.6024654,0.5715697,0.7878393,0.6797045,0.7878393,0.4170914,0.6024654,0.7723915,0.5715697,0.540674,0.5561219,0.5870175,0.6488089,0.5715697,0.4943306,0.4325392,0.3553001,0.3861957,0.4788827,0.4479871,0.3398523,0.3553001,0.2317174,0.2008218]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y138_DPHI_0_PI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ j_{1}, j_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y138_DPHI_0_PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y138_DPHI_0_PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_137.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_137.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_137.eps') + +# Running! +if __name__ == '__main__': + selection_137() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_138.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_138.C new file mode 100644 index 00000000..f94db17d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_138.C @@ -0,0 +1,99 @@ +void selection_138() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo277","canvas_plotflow_tempo277",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S139_DPHI_0_2PI_0 = new TH1F("S139_DPHI_0_2PI_0","S139_DPHI_0_2PI_0",32,0.0,6.4); + // Content + S139_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow + S139_DPHI_0_2PI_0->SetBinContent(1,0.4170914); + S139_DPHI_0_2PI_0->SetBinContent(2,0.4788827); + S139_DPHI_0_2PI_0->SetBinContent(3,0.3244044); + S139_DPHI_0_2PI_0->SetBinContent(4,0.4788827); + S139_DPHI_0_2PI_0->SetBinContent(5,0.6951523); + S139_DPHI_0_2PI_0->SetBinContent(6,0.7106002); + S139_DPHI_0_2PI_0->SetBinContent(7,0.5715697); + S139_DPHI_0_2PI_0->SetBinContent(8,0.8496306); + S139_DPHI_0_2PI_0->SetBinContent(9,0.6179132); + S139_DPHI_0_2PI_0->SetBinContent(10,0.4943306); + S139_DPHI_0_2PI_0->SetBinContent(11,0.6179132); + S139_DPHI_0_2PI_0->SetBinContent(12,0.4170914); + S139_DPHI_0_2PI_0->SetBinContent(13,0.3244044); + S139_DPHI_0_2PI_0->SetBinContent(14,0.4943306); + S139_DPHI_0_2PI_0->SetBinContent(15,0.4325392); + S139_DPHI_0_2PI_0->SetBinContent(16,0.3398523); + S139_DPHI_0_2PI_0->SetBinContent(17,0.2935088); + S139_DPHI_0_2PI_0->SetBinContent(18,0.3089566); + S139_DPHI_0_2PI_0->SetBinContent(19,0.4325392); + S139_DPHI_0_2PI_0->SetBinContent(20,0.4479871); + S139_DPHI_0_2PI_0->SetBinContent(21,0.6179132); + S139_DPHI_0_2PI_0->SetBinContent(22,0.6024654); + S139_DPHI_0_2PI_0->SetBinContent(23,0.5097784); + S139_DPHI_0_2PI_0->SetBinContent(24,0.5561219); + S139_DPHI_0_2PI_0->SetBinContent(25,0.5252262); + S139_DPHI_0_2PI_0->SetBinContent(26,0.8496306); + S139_DPHI_0_2PI_0->SetBinContent(27,0.4788827); + S139_DPHI_0_2PI_0->SetBinContent(28,0.4943306); + S139_DPHI_0_2PI_0->SetBinContent(29,0.3707479); + S139_DPHI_0_2PI_0->SetBinContent(30,0.3553001); + S139_DPHI_0_2PI_0->SetBinContent(31,0.2317174); + S139_DPHI_0_2PI_0->SetBinContent(32,0.1081348); + S139_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow + S139_DPHI_0_2PI_0->SetEntries(1000); + // Style + S139_DPHI_0_2PI_0->SetLineColor(9); + S139_DPHI_0_2PI_0->SetLineStyle(1); + S139_DPHI_0_2PI_0->SetLineWidth(1); + S139_DPHI_0_2PI_0->SetFillColor(9); + S139_DPHI_0_2PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_278","mystack"); + stack->Add(S139_DPHI_0_2PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ j_{1}, j_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_138.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_138.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_138.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_138.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_138.py new file mode 100644 index 00000000..7f167423 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_138.py @@ -0,0 +1,62 @@ +def selection_138(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) + + # Creating weights for histo: y139_DPHI_0_2PI_0 + y139_DPHI_0_2PI_0_weights = numpy.array([0.4170914,0.4788827,0.3244044,0.4788827,0.6951523,0.7106002,0.5715697,0.8496306,0.6179132,0.4943306,0.6179132,0.4170914,0.3244044,0.4943306,0.4325392,0.3398523,0.2935088,0.3089566,0.4325392,0.4479871,0.6179132,0.6024654,0.5097784,0.5561219,0.5252262,0.8496306,0.4788827,0.4943306,0.3707479,0.3553001,0.2317174,0.1081348]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y139_DPHI_0_2PI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ j_{1}, j_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y139_DPHI_0_2PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y139_DPHI_0_2PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_138.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_138.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_138.eps') + +# Running! +if __name__ == '__main__': + selection_138() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_139.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_139.C new file mode 100644 index 00000000..60ca6406 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_139.C @@ -0,0 +1,117 @@ +void selection_139() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo279","canvas_plotflow_tempo279",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S140_DELTAR_0 = new TH1F("S140_DELTAR_0","S140_DELTAR_0",50,0.0,10.0); + // Content + S140_DELTAR_0->SetBinContent(0,0.0); // underflow + S140_DELTAR_0->SetBinContent(1,0.0); + S140_DELTAR_0->SetBinContent(2,0.0); + S140_DELTAR_0->SetBinContent(3,0.0); + S140_DELTAR_0->SetBinContent(4,0.0); + S140_DELTAR_0->SetBinContent(5,0.0); + S140_DELTAR_0->SetBinContent(6,0.0); + S140_DELTAR_0->SetBinContent(7,0.0); + S140_DELTAR_0->SetBinContent(8,0.0); + S140_DELTAR_0->SetBinContent(9,0.0); + S140_DELTAR_0->SetBinContent(10,0.0); + S140_DELTAR_0->SetBinContent(11,0.0); + S140_DELTAR_0->SetBinContent(12,0.0); + S140_DELTAR_0->SetBinContent(13,0.0); + S140_DELTAR_0->SetBinContent(14,0.0); + S140_DELTAR_0->SetBinContent(15,0.0); + S140_DELTAR_0->SetBinContent(16,0.0); + S140_DELTAR_0->SetBinContent(17,0.0); + S140_DELTAR_0->SetBinContent(18,0.0); + S140_DELTAR_0->SetBinContent(19,0.0); + S140_DELTAR_0->SetBinContent(20,0.0); + S140_DELTAR_0->SetBinContent(21,0.0); + S140_DELTAR_0->SetBinContent(22,0.0); + S140_DELTAR_0->SetBinContent(23,0.0); + S140_DELTAR_0->SetBinContent(24,0.0); + S140_DELTAR_0->SetBinContent(25,0.0); + S140_DELTAR_0->SetBinContent(26,0.0); + S140_DELTAR_0->SetBinContent(27,0.0); + S140_DELTAR_0->SetBinContent(28,0.0); + S140_DELTAR_0->SetBinContent(29,0.0); + S140_DELTAR_0->SetBinContent(30,0.0); + S140_DELTAR_0->SetBinContent(31,0.0); + S140_DELTAR_0->SetBinContent(32,0.0); + S140_DELTAR_0->SetBinContent(33,0.0); + S140_DELTAR_0->SetBinContent(34,0.0); + S140_DELTAR_0->SetBinContent(35,0.0); + S140_DELTAR_0->SetBinContent(36,0.0); + S140_DELTAR_0->SetBinContent(37,0.0); + S140_DELTAR_0->SetBinContent(38,0.0); + S140_DELTAR_0->SetBinContent(39,0.0); + S140_DELTAR_0->SetBinContent(40,0.0); + S140_DELTAR_0->SetBinContent(41,0.0); + S140_DELTAR_0->SetBinContent(42,0.0); + S140_DELTAR_0->SetBinContent(43,0.0); + S140_DELTAR_0->SetBinContent(44,0.0); + S140_DELTAR_0->SetBinContent(45,0.0); + S140_DELTAR_0->SetBinContent(46,0.0); + S140_DELTAR_0->SetBinContent(47,0.0); + S140_DELTAR_0->SetBinContent(48,0.0); + S140_DELTAR_0->SetBinContent(49,0.0); + S140_DELTAR_0->SetBinContent(50,0.0); + S140_DELTAR_0->SetBinContent(51,0.0); // overflow + S140_DELTAR_0->SetEntries(0); + // Style + S140_DELTAR_0->SetLineColor(9); + S140_DELTAR_0->SetLineStyle(1); + S140_DELTAR_0->SetLineWidth(1); + S140_DELTAR_0->SetFillColor(9); + S140_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_280","mystack"); + stack->Add(S140_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (e, e) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ e, e ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_139.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_139.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_139.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_139.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_139.py new file mode 100644 index 00000000..03e19202 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_139.py @@ -0,0 +1,62 @@ +def selection_139(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y140_DELTAR_0 + y140_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y140_DELTAR_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ e, e ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (e, e)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y140_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y140_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_139.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_139.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_139.eps') + +# Running! +if __name__ == '__main__': + selection_139() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_14.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_14.C new file mode 100644 index 00000000..4ef68096 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_14.C @@ -0,0 +1,99 @@ +void selection_14() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo29","canvas_plotflow_tempo29",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S15_PHI_0 = new TH1F("S15_PHI_0","S15_PHI_0",32,-3.2,3.2); + // Content + S15_PHI_0->SetBinContent(0,0.0); // underflow + S15_PHI_0->SetBinContent(1,0.185374); + S15_PHI_0->SetBinContent(2,0.1081348); + S15_PHI_0->SetBinContent(3,0.2626131); + S15_PHI_0->SetBinContent(4,0.2317174); + S15_PHI_0->SetBinContent(5,0.185374); + S15_PHI_0->SetBinContent(6,0.1544783); + S15_PHI_0->SetBinContent(7,0.3089566); + S15_PHI_0->SetBinContent(8,0.2935088); + S15_PHI_0->SetBinContent(9,0.4016436); + S15_PHI_0->SetBinContent(10,0.3089566); + S15_PHI_0->SetBinContent(11,0.2162696); + S15_PHI_0->SetBinContent(12,0.3089566); + S15_PHI_0->SetBinContent(13,0.2008218); + S15_PHI_0->SetBinContent(14,0.2008218); + S15_PHI_0->SetBinContent(15,0.2008218); + S15_PHI_0->SetBinContent(16,0.2626131); + S15_PHI_0->SetBinContent(17,0.2935088); + S15_PHI_0->SetBinContent(18,0.3244044); + S15_PHI_0->SetBinContent(19,0.3553001); + S15_PHI_0->SetBinContent(20,0.1699261); + S15_PHI_0->SetBinContent(21,0.1699261); + S15_PHI_0->SetBinContent(22,0.2317174); + S15_PHI_0->SetBinContent(23,0.2162696); + S15_PHI_0->SetBinContent(24,0.2317174); + S15_PHI_0->SetBinContent(25,0.2935088); + S15_PHI_0->SetBinContent(26,0.2317174); + S15_PHI_0->SetBinContent(27,0.3398523); + S15_PHI_0->SetBinContent(28,0.3553001); + S15_PHI_0->SetBinContent(29,0.2471653); + S15_PHI_0->SetBinContent(30,0.2780609); + S15_PHI_0->SetBinContent(31,0.1544783); + S15_PHI_0->SetBinContent(32,0.09268698); + S15_PHI_0->SetBinContent(33,0.0); // overflow + S15_PHI_0->SetEntries(506); + // Style + S15_PHI_0->SetLineColor(9); + S15_PHI_0->SetLineStyle(1); + S15_PHI_0->SetLineWidth(1); + S15_PHI_0->SetFillColor(9); + S15_PHI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_30","mystack"); + stack->Add(S15_PHI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#phi [ e ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_14.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_14.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_14.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_14.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_14.py new file mode 100644 index 00000000..5b7a217a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_14.py @@ -0,0 +1,62 @@ +def selection_14(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) + + # Creating weights for histo: y15_PHI_0 + y15_PHI_0_weights = numpy.array([0.185374,0.1081348,0.2626131,0.2317174,0.185374,0.1544783,0.3089566,0.2935088,0.4016436,0.3089566,0.2162696,0.3089566,0.2008218,0.2008218,0.2008218,0.2626131,0.2935088,0.3244044,0.3553001,0.1699261,0.1699261,0.2317174,0.2162696,0.2317174,0.2935088,0.2317174,0.3398523,0.3553001,0.2471653,0.2780609,0.1544783,0.09268698]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y15_PHI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\phi$ $[ e ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y15_PHI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y15_PHI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_14.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_14.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_14.eps') + +# Running! +if __name__ == '__main__': + selection_14() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_140.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_140.C new file mode 100644 index 00000000..e5946a2d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_140.C @@ -0,0 +1,99 @@ +void selection_140() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo281","canvas_plotflow_tempo281",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S141_DPHI_0_PI_0 = new TH1F("S141_DPHI_0_PI_0","S141_DPHI_0_PI_0",32,0.0,3.2); + // Content + S141_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow + S141_DPHI_0_PI_0->SetBinContent(1,0.0); + S141_DPHI_0_PI_0->SetBinContent(2,0.0); + S141_DPHI_0_PI_0->SetBinContent(3,0.0); + S141_DPHI_0_PI_0->SetBinContent(4,0.0); + S141_DPHI_0_PI_0->SetBinContent(5,0.0); + S141_DPHI_0_PI_0->SetBinContent(6,0.0); + S141_DPHI_0_PI_0->SetBinContent(7,0.0); + S141_DPHI_0_PI_0->SetBinContent(8,0.0); + S141_DPHI_0_PI_0->SetBinContent(9,0.0); + S141_DPHI_0_PI_0->SetBinContent(10,0.0); + S141_DPHI_0_PI_0->SetBinContent(11,0.0); + S141_DPHI_0_PI_0->SetBinContent(12,0.0); + S141_DPHI_0_PI_0->SetBinContent(13,0.0); + S141_DPHI_0_PI_0->SetBinContent(14,0.0); + S141_DPHI_0_PI_0->SetBinContent(15,0.0); + S141_DPHI_0_PI_0->SetBinContent(16,0.0); + S141_DPHI_0_PI_0->SetBinContent(17,0.0); + S141_DPHI_0_PI_0->SetBinContent(18,0.0); + S141_DPHI_0_PI_0->SetBinContent(19,0.0); + S141_DPHI_0_PI_0->SetBinContent(20,0.0); + S141_DPHI_0_PI_0->SetBinContent(21,0.0); + S141_DPHI_0_PI_0->SetBinContent(22,0.0); + S141_DPHI_0_PI_0->SetBinContent(23,0.0); + S141_DPHI_0_PI_0->SetBinContent(24,0.0); + S141_DPHI_0_PI_0->SetBinContent(25,0.0); + S141_DPHI_0_PI_0->SetBinContent(26,0.0); + S141_DPHI_0_PI_0->SetBinContent(27,0.0); + S141_DPHI_0_PI_0->SetBinContent(28,0.0); + S141_DPHI_0_PI_0->SetBinContent(29,0.0); + S141_DPHI_0_PI_0->SetBinContent(30,0.0); + S141_DPHI_0_PI_0->SetBinContent(31,0.0); + S141_DPHI_0_PI_0->SetBinContent(32,0.0); + S141_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow + S141_DPHI_0_PI_0->SetEntries(0); + // Style + S141_DPHI_0_PI_0->SetLineColor(9); + S141_DPHI_0_PI_0->SetLineStyle(1); + S141_DPHI_0_PI_0->SetLineWidth(1); + S141_DPHI_0_PI_0->SetFillColor(9); + S141_DPHI_0_PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_282","mystack"); + stack->Add(S141_DPHI_0_PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (e, e) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ e, e ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_140.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_140.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_140.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_140.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_140.py new file mode 100644 index 00000000..82a173af --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_140.py @@ -0,0 +1,62 @@ +def selection_140(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) + + # Creating weights for histo: y141_DPHI_0_PI_0 + y141_DPHI_0_PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y141_DPHI_0_PI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ e, e ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (e, e)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y141_DPHI_0_PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y141_DPHI_0_PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_140.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_140.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_140.eps') + +# Running! +if __name__ == '__main__': + selection_140() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_141.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_141.C new file mode 100644 index 00000000..f46f6577 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_141.C @@ -0,0 +1,99 @@ +void selection_141() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo283","canvas_plotflow_tempo283",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S142_DPHI_0_2PI_0 = new TH1F("S142_DPHI_0_2PI_0","S142_DPHI_0_2PI_0",32,0.0,6.4); + // Content + S142_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow + S142_DPHI_0_2PI_0->SetBinContent(1,0.0); + S142_DPHI_0_2PI_0->SetBinContent(2,0.0); + S142_DPHI_0_2PI_0->SetBinContent(3,0.0); + S142_DPHI_0_2PI_0->SetBinContent(4,0.0); + S142_DPHI_0_2PI_0->SetBinContent(5,0.0); + S142_DPHI_0_2PI_0->SetBinContent(6,0.0); + S142_DPHI_0_2PI_0->SetBinContent(7,0.0); + S142_DPHI_0_2PI_0->SetBinContent(8,0.0); + S142_DPHI_0_2PI_0->SetBinContent(9,0.0); + S142_DPHI_0_2PI_0->SetBinContent(10,0.0); + S142_DPHI_0_2PI_0->SetBinContent(11,0.0); + S142_DPHI_0_2PI_0->SetBinContent(12,0.0); + S142_DPHI_0_2PI_0->SetBinContent(13,0.0); + S142_DPHI_0_2PI_0->SetBinContent(14,0.0); + S142_DPHI_0_2PI_0->SetBinContent(15,0.0); + S142_DPHI_0_2PI_0->SetBinContent(16,0.0); + S142_DPHI_0_2PI_0->SetBinContent(17,0.0); + S142_DPHI_0_2PI_0->SetBinContent(18,0.0); + S142_DPHI_0_2PI_0->SetBinContent(19,0.0); + S142_DPHI_0_2PI_0->SetBinContent(20,0.0); + S142_DPHI_0_2PI_0->SetBinContent(21,0.0); + S142_DPHI_0_2PI_0->SetBinContent(22,0.0); + S142_DPHI_0_2PI_0->SetBinContent(23,0.0); + S142_DPHI_0_2PI_0->SetBinContent(24,0.0); + S142_DPHI_0_2PI_0->SetBinContent(25,0.0); + S142_DPHI_0_2PI_0->SetBinContent(26,0.0); + S142_DPHI_0_2PI_0->SetBinContent(27,0.0); + S142_DPHI_0_2PI_0->SetBinContent(28,0.0); + S142_DPHI_0_2PI_0->SetBinContent(29,0.0); + S142_DPHI_0_2PI_0->SetBinContent(30,0.0); + S142_DPHI_0_2PI_0->SetBinContent(31,0.0); + S142_DPHI_0_2PI_0->SetBinContent(32,0.0); + S142_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow + S142_DPHI_0_2PI_0->SetEntries(0); + // Style + S142_DPHI_0_2PI_0->SetLineColor(9); + S142_DPHI_0_2PI_0->SetLineStyle(1); + S142_DPHI_0_2PI_0->SetLineWidth(1); + S142_DPHI_0_2PI_0->SetFillColor(9); + S142_DPHI_0_2PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_284","mystack"); + stack->Add(S142_DPHI_0_2PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (e, e) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ e, e ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_141.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_141.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_141.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_141.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_141.py new file mode 100644 index 00000000..66594f48 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_141.py @@ -0,0 +1,62 @@ +def selection_141(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) + + # Creating weights for histo: y142_DPHI_0_2PI_0 + y142_DPHI_0_2PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y142_DPHI_0_2PI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ e, e ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (e, e)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y142_DPHI_0_2PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y142_DPHI_0_2PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_141.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_141.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_141.eps') + +# Running! +if __name__ == '__main__': + selection_141() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_142.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_142.C new file mode 100644 index 00000000..adb709ee --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_142.C @@ -0,0 +1,117 @@ +void selection_142() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo285","canvas_plotflow_tempo285",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S143_M_0 = new TH1F("S143_M_0","S143_M_0",50,0.0,1000.0); + // Content + S143_M_0->SetBinContent(0,0.0); // underflow + S143_M_0->SetBinContent(1,0.0); + S143_M_0->SetBinContent(2,0.0); + S143_M_0->SetBinContent(3,0.0); + S143_M_0->SetBinContent(4,0.0); + S143_M_0->SetBinContent(5,0.0); + S143_M_0->SetBinContent(6,0.0); + S143_M_0->SetBinContent(7,0.0); + S143_M_0->SetBinContent(8,0.0); + S143_M_0->SetBinContent(9,0.0); + S143_M_0->SetBinContent(10,0.0); + S143_M_0->SetBinContent(11,0.0); + S143_M_0->SetBinContent(12,0.0); + S143_M_0->SetBinContent(13,0.0); + S143_M_0->SetBinContent(14,0.0); + S143_M_0->SetBinContent(15,0.0); + S143_M_0->SetBinContent(16,0.0); + S143_M_0->SetBinContent(17,0.0); + S143_M_0->SetBinContent(18,0.0); + S143_M_0->SetBinContent(19,0.0); + S143_M_0->SetBinContent(20,0.0); + S143_M_0->SetBinContent(21,0.0); + S143_M_0->SetBinContent(22,0.0); + S143_M_0->SetBinContent(23,0.0); + S143_M_0->SetBinContent(24,0.0); + S143_M_0->SetBinContent(25,0.0); + S143_M_0->SetBinContent(26,0.0); + S143_M_0->SetBinContent(27,0.0); + S143_M_0->SetBinContent(28,0.0); + S143_M_0->SetBinContent(29,0.0); + S143_M_0->SetBinContent(30,0.0); + S143_M_0->SetBinContent(31,0.0); + S143_M_0->SetBinContent(32,0.0); + S143_M_0->SetBinContent(33,0.0); + S143_M_0->SetBinContent(34,0.0); + S143_M_0->SetBinContent(35,0.0); + S143_M_0->SetBinContent(36,0.0); + S143_M_0->SetBinContent(37,0.0); + S143_M_0->SetBinContent(38,0.0); + S143_M_0->SetBinContent(39,0.0); + S143_M_0->SetBinContent(40,0.0); + S143_M_0->SetBinContent(41,0.0); + S143_M_0->SetBinContent(42,0.0); + S143_M_0->SetBinContent(43,0.0); + S143_M_0->SetBinContent(44,0.0); + S143_M_0->SetBinContent(45,0.0); + S143_M_0->SetBinContent(46,0.0); + S143_M_0->SetBinContent(47,0.0); + S143_M_0->SetBinContent(48,0.0); + S143_M_0->SetBinContent(49,0.0); + S143_M_0->SetBinContent(50,0.0); + S143_M_0->SetBinContent(51,0.0); // overflow + S143_M_0->SetEntries(0); + // Style + S143_M_0->SetLineColor(9); + S143_M_0->SetLineStyle(1); + S143_M_0->SetLineWidth(1); + S143_M_0->SetFillColor(9); + S143_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_286","mystack"); + stack->Add(S143_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e e pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ e e ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_142.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_142.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_142.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_142.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_142.py new file mode 100644 index 00000000..6e096021 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_142.py @@ -0,0 +1,62 @@ +def selection_142(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y143_M_0 + y143_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y143_M_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ e e ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ e e\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y143_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y143_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_142.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_142.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_142.eps') + +# Running! +if __name__ == '__main__': + selection_142() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_143.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_143.C new file mode 100644 index 00000000..7b2f4de3 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_143.C @@ -0,0 +1,117 @@ +void selection_143() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo287","canvas_plotflow_tempo287",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S144_PT_0 = new TH1F("S144_PT_0","S144_PT_0",50,0.0,1500.0); + // Content + S144_PT_0->SetBinContent(0,0.0); // underflow + S144_PT_0->SetBinContent(1,0.0); + S144_PT_0->SetBinContent(2,0.0); + S144_PT_0->SetBinContent(3,0.0); + S144_PT_0->SetBinContent(4,0.0); + S144_PT_0->SetBinContent(5,0.0); + S144_PT_0->SetBinContent(6,0.0); + S144_PT_0->SetBinContent(7,0.0); + S144_PT_0->SetBinContent(8,0.0); + S144_PT_0->SetBinContent(9,0.0); + S144_PT_0->SetBinContent(10,0.0); + S144_PT_0->SetBinContent(11,0.0); + S144_PT_0->SetBinContent(12,0.0); + S144_PT_0->SetBinContent(13,0.0); + S144_PT_0->SetBinContent(14,0.0); + S144_PT_0->SetBinContent(15,0.0); + S144_PT_0->SetBinContent(16,0.0); + S144_PT_0->SetBinContent(17,0.0); + S144_PT_0->SetBinContent(18,0.0); + S144_PT_0->SetBinContent(19,0.0); + S144_PT_0->SetBinContent(20,0.0); + S144_PT_0->SetBinContent(21,0.0); + S144_PT_0->SetBinContent(22,0.0); + S144_PT_0->SetBinContent(23,0.0); + S144_PT_0->SetBinContent(24,0.0); + S144_PT_0->SetBinContent(25,0.0); + S144_PT_0->SetBinContent(26,0.0); + S144_PT_0->SetBinContent(27,0.0); + S144_PT_0->SetBinContent(28,0.0); + S144_PT_0->SetBinContent(29,0.0); + S144_PT_0->SetBinContent(30,0.0); + S144_PT_0->SetBinContent(31,0.0); + S144_PT_0->SetBinContent(32,0.0); + S144_PT_0->SetBinContent(33,0.0); + S144_PT_0->SetBinContent(34,0.0); + S144_PT_0->SetBinContent(35,0.0); + S144_PT_0->SetBinContent(36,0.0); + S144_PT_0->SetBinContent(37,0.0); + S144_PT_0->SetBinContent(38,0.0); + S144_PT_0->SetBinContent(39,0.0); + S144_PT_0->SetBinContent(40,0.0); + S144_PT_0->SetBinContent(41,0.0); + S144_PT_0->SetBinContent(42,0.0); + S144_PT_0->SetBinContent(43,0.0); + S144_PT_0->SetBinContent(44,0.0); + S144_PT_0->SetBinContent(45,0.0); + S144_PT_0->SetBinContent(46,0.0); + S144_PT_0->SetBinContent(47,0.0); + S144_PT_0->SetBinContent(48,0.0); + S144_PT_0->SetBinContent(49,0.0); + S144_PT_0->SetBinContent(50,0.0); + S144_PT_0->SetBinContent(51,0.0); // overflow + S144_PT_0->SetEntries(0); + // Style + S144_PT_0->SetLineColor(9); + S144_PT_0->SetLineStyle(1); + S144_PT_0->SetLineWidth(1); + S144_PT_0->SetFillColor(9); + S144_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_288","mystack"); + stack->Add(S144_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e e pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ e e ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_143.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_143.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_143.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_143.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_143.py new file mode 100644 index 00000000..0e5f74bb --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_143.py @@ -0,0 +1,62 @@ +def selection_143(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) + + # Creating weights for histo: y144_PT_0 + y144_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y144_PT_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ e e ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ e e\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y144_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y144_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_143.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_143.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_143.eps') + +# Running! +if __name__ == '__main__': + selection_143() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_144.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_144.C new file mode 100644 index 00000000..b992e6b1 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_144.C @@ -0,0 +1,117 @@ +void selection_144() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo289","canvas_plotflow_tempo289",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S145_DELTAR_0 = new TH1F("S145_DELTAR_0","S145_DELTAR_0",50,0.0,10.0); + // Content + S145_DELTAR_0->SetBinContent(0,0.0); // underflow + S145_DELTAR_0->SetBinContent(1,0.0); + S145_DELTAR_0->SetBinContent(2,0.0); + S145_DELTAR_0->SetBinContent(3,0.0); + S145_DELTAR_0->SetBinContent(4,0.0); + S145_DELTAR_0->SetBinContent(5,0.0); + S145_DELTAR_0->SetBinContent(6,0.0); + S145_DELTAR_0->SetBinContent(7,0.0); + S145_DELTAR_0->SetBinContent(8,0.0); + S145_DELTAR_0->SetBinContent(9,0.0); + S145_DELTAR_0->SetBinContent(10,0.0); + S145_DELTAR_0->SetBinContent(11,0.0); + S145_DELTAR_0->SetBinContent(12,0.0); + S145_DELTAR_0->SetBinContent(13,0.0); + S145_DELTAR_0->SetBinContent(14,0.0); + S145_DELTAR_0->SetBinContent(15,0.0); + S145_DELTAR_0->SetBinContent(16,0.0); + S145_DELTAR_0->SetBinContent(17,0.0); + S145_DELTAR_0->SetBinContent(18,0.0); + S145_DELTAR_0->SetBinContent(19,0.0); + S145_DELTAR_0->SetBinContent(20,0.0); + S145_DELTAR_0->SetBinContent(21,0.0); + S145_DELTAR_0->SetBinContent(22,0.0); + S145_DELTAR_0->SetBinContent(23,0.0); + S145_DELTAR_0->SetBinContent(24,0.0); + S145_DELTAR_0->SetBinContent(25,0.0); + S145_DELTAR_0->SetBinContent(26,0.0); + S145_DELTAR_0->SetBinContent(27,0.0); + S145_DELTAR_0->SetBinContent(28,0.0); + S145_DELTAR_0->SetBinContent(29,0.0); + S145_DELTAR_0->SetBinContent(30,0.0); + S145_DELTAR_0->SetBinContent(31,0.0); + S145_DELTAR_0->SetBinContent(32,0.0); + S145_DELTAR_0->SetBinContent(33,0.0); + S145_DELTAR_0->SetBinContent(34,0.0); + S145_DELTAR_0->SetBinContent(35,0.0); + S145_DELTAR_0->SetBinContent(36,0.0); + S145_DELTAR_0->SetBinContent(37,0.0); + S145_DELTAR_0->SetBinContent(38,0.0); + S145_DELTAR_0->SetBinContent(39,0.0); + S145_DELTAR_0->SetBinContent(40,0.0); + S145_DELTAR_0->SetBinContent(41,0.0); + S145_DELTAR_0->SetBinContent(42,0.0); + S145_DELTAR_0->SetBinContent(43,0.0); + S145_DELTAR_0->SetBinContent(44,0.0); + S145_DELTAR_0->SetBinContent(45,0.0); + S145_DELTAR_0->SetBinContent(46,0.0); + S145_DELTAR_0->SetBinContent(47,0.0); + S145_DELTAR_0->SetBinContent(48,0.0); + S145_DELTAR_0->SetBinContent(49,0.0); + S145_DELTAR_0->SetBinContent(50,0.0); + S145_DELTAR_0->SetBinContent(51,0.0); // overflow + S145_DELTAR_0->SetEntries(0); + // Style + S145_DELTAR_0->SetLineColor(9); + S145_DELTAR_0->SetLineStyle(1); + S145_DELTAR_0->SetLineWidth(1); + S145_DELTAR_0->SetFillColor(9); + S145_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_290","mystack"); + stack->Add(S145_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.04); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (mu, mu) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ mu, mu ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_144.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_144.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_144.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_144.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_144.py new file mode 100644 index 00000000..f3e1c227 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_144.py @@ -0,0 +1,62 @@ +def selection_144(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y145_DELTAR_0 + y145_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y145_DELTAR_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ mu, mu ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (mu, mu)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y145_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y145_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_144.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_144.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_144.eps') + +# Running! +if __name__ == '__main__': + selection_144() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_145.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_145.C new file mode 100644 index 00000000..054ecc7d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_145.C @@ -0,0 +1,99 @@ +void selection_145() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo291","canvas_plotflow_tempo291",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S146_DPHI_0_PI_0 = new TH1F("S146_DPHI_0_PI_0","S146_DPHI_0_PI_0",32,0.0,3.2); + // Content + S146_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow + S146_DPHI_0_PI_0->SetBinContent(1,0.0); + S146_DPHI_0_PI_0->SetBinContent(2,0.0); + S146_DPHI_0_PI_0->SetBinContent(3,0.0); + S146_DPHI_0_PI_0->SetBinContent(4,0.0); + S146_DPHI_0_PI_0->SetBinContent(5,0.0); + S146_DPHI_0_PI_0->SetBinContent(6,0.0); + S146_DPHI_0_PI_0->SetBinContent(7,0.0); + S146_DPHI_0_PI_0->SetBinContent(8,0.0); + S146_DPHI_0_PI_0->SetBinContent(9,0.0); + S146_DPHI_0_PI_0->SetBinContent(10,0.0); + S146_DPHI_0_PI_0->SetBinContent(11,0.0); + S146_DPHI_0_PI_0->SetBinContent(12,0.0); + S146_DPHI_0_PI_0->SetBinContent(13,0.0); + S146_DPHI_0_PI_0->SetBinContent(14,0.0); + S146_DPHI_0_PI_0->SetBinContent(15,0.0); + S146_DPHI_0_PI_0->SetBinContent(16,0.0); + S146_DPHI_0_PI_0->SetBinContent(17,0.0); + S146_DPHI_0_PI_0->SetBinContent(18,0.0); + S146_DPHI_0_PI_0->SetBinContent(19,0.0); + S146_DPHI_0_PI_0->SetBinContent(20,0.0); + S146_DPHI_0_PI_0->SetBinContent(21,0.0); + S146_DPHI_0_PI_0->SetBinContent(22,0.0); + S146_DPHI_0_PI_0->SetBinContent(23,0.0); + S146_DPHI_0_PI_0->SetBinContent(24,0.0); + S146_DPHI_0_PI_0->SetBinContent(25,0.0); + S146_DPHI_0_PI_0->SetBinContent(26,0.0); + S146_DPHI_0_PI_0->SetBinContent(27,0.0); + S146_DPHI_0_PI_0->SetBinContent(28,0.0); + S146_DPHI_0_PI_0->SetBinContent(29,0.0); + S146_DPHI_0_PI_0->SetBinContent(30,0.0); + S146_DPHI_0_PI_0->SetBinContent(31,0.0); + S146_DPHI_0_PI_0->SetBinContent(32,0.0); + S146_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow + S146_DPHI_0_PI_0->SetEntries(0); + // Style + S146_DPHI_0_PI_0->SetLineColor(9); + S146_DPHI_0_PI_0->SetLineStyle(1); + S146_DPHI_0_PI_0->SetLineWidth(1); + S146_DPHI_0_PI_0->SetFillColor(9); + S146_DPHI_0_PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_292","mystack"); + stack->Add(S146_DPHI_0_PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.04); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (mu, mu) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ mu, mu ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_145.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_145.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_145.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_145.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_145.py new file mode 100644 index 00000000..20f7740f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_145.py @@ -0,0 +1,62 @@ +def selection_145(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) + + # Creating weights for histo: y146_DPHI_0_PI_0 + y146_DPHI_0_PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y146_DPHI_0_PI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ mu, mu ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (mu, mu)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y146_DPHI_0_PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y146_DPHI_0_PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_145.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_145.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_145.eps') + +# Running! +if __name__ == '__main__': + selection_145() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_146.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_146.C new file mode 100644 index 00000000..ab8bdbb5 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_146.C @@ -0,0 +1,99 @@ +void selection_146() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo293","canvas_plotflow_tempo293",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S147_DPHI_0_2PI_0 = new TH1F("S147_DPHI_0_2PI_0","S147_DPHI_0_2PI_0",32,0.0,6.4); + // Content + S147_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow + S147_DPHI_0_2PI_0->SetBinContent(1,0.0); + S147_DPHI_0_2PI_0->SetBinContent(2,0.0); + S147_DPHI_0_2PI_0->SetBinContent(3,0.0); + S147_DPHI_0_2PI_0->SetBinContent(4,0.0); + S147_DPHI_0_2PI_0->SetBinContent(5,0.0); + S147_DPHI_0_2PI_0->SetBinContent(6,0.0); + S147_DPHI_0_2PI_0->SetBinContent(7,0.0); + S147_DPHI_0_2PI_0->SetBinContent(8,0.0); + S147_DPHI_0_2PI_0->SetBinContent(9,0.0); + S147_DPHI_0_2PI_0->SetBinContent(10,0.0); + S147_DPHI_0_2PI_0->SetBinContent(11,0.0); + S147_DPHI_0_2PI_0->SetBinContent(12,0.0); + S147_DPHI_0_2PI_0->SetBinContent(13,0.0); + S147_DPHI_0_2PI_0->SetBinContent(14,0.0); + S147_DPHI_0_2PI_0->SetBinContent(15,0.0); + S147_DPHI_0_2PI_0->SetBinContent(16,0.0); + S147_DPHI_0_2PI_0->SetBinContent(17,0.0); + S147_DPHI_0_2PI_0->SetBinContent(18,0.0); + S147_DPHI_0_2PI_0->SetBinContent(19,0.0); + S147_DPHI_0_2PI_0->SetBinContent(20,0.0); + S147_DPHI_0_2PI_0->SetBinContent(21,0.0); + S147_DPHI_0_2PI_0->SetBinContent(22,0.0); + S147_DPHI_0_2PI_0->SetBinContent(23,0.0); + S147_DPHI_0_2PI_0->SetBinContent(24,0.0); + S147_DPHI_0_2PI_0->SetBinContent(25,0.0); + S147_DPHI_0_2PI_0->SetBinContent(26,0.0); + S147_DPHI_0_2PI_0->SetBinContent(27,0.0); + S147_DPHI_0_2PI_0->SetBinContent(28,0.0); + S147_DPHI_0_2PI_0->SetBinContent(29,0.0); + S147_DPHI_0_2PI_0->SetBinContent(30,0.0); + S147_DPHI_0_2PI_0->SetBinContent(31,0.0); + S147_DPHI_0_2PI_0->SetBinContent(32,0.0); + S147_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow + S147_DPHI_0_2PI_0->SetEntries(0); + // Style + S147_DPHI_0_2PI_0->SetLineColor(9); + S147_DPHI_0_2PI_0->SetLineStyle(1); + S147_DPHI_0_2PI_0->SetLineWidth(1); + S147_DPHI_0_2PI_0->SetFillColor(9); + S147_DPHI_0_2PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_294","mystack"); + stack->Add(S147_DPHI_0_2PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.04); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (mu, mu) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ mu, mu ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_146.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_146.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_146.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_146.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_146.py new file mode 100644 index 00000000..3278149a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_146.py @@ -0,0 +1,62 @@ +def selection_146(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) + + # Creating weights for histo: y147_DPHI_0_2PI_0 + y147_DPHI_0_2PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y147_DPHI_0_2PI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ mu, mu ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (mu, mu)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y147_DPHI_0_2PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y147_DPHI_0_2PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_146.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_146.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_146.eps') + +# Running! +if __name__ == '__main__': + selection_146() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_147.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_147.C new file mode 100644 index 00000000..895ecf2e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_147.C @@ -0,0 +1,117 @@ +void selection_147() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo295","canvas_plotflow_tempo295",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S148_M_0 = new TH1F("S148_M_0","S148_M_0",50,0.0,1000.0); + // Content + S148_M_0->SetBinContent(0,0.0); // underflow + S148_M_0->SetBinContent(1,0.0); + S148_M_0->SetBinContent(2,0.0); + S148_M_0->SetBinContent(3,0.0); + S148_M_0->SetBinContent(4,0.0); + S148_M_0->SetBinContent(5,0.0); + S148_M_0->SetBinContent(6,0.0); + S148_M_0->SetBinContent(7,0.0); + S148_M_0->SetBinContent(8,0.0); + S148_M_0->SetBinContent(9,0.0); + S148_M_0->SetBinContent(10,0.0); + S148_M_0->SetBinContent(11,0.0); + S148_M_0->SetBinContent(12,0.0); + S148_M_0->SetBinContent(13,0.0); + S148_M_0->SetBinContent(14,0.0); + S148_M_0->SetBinContent(15,0.0); + S148_M_0->SetBinContent(16,0.0); + S148_M_0->SetBinContent(17,0.0); + S148_M_0->SetBinContent(18,0.0); + S148_M_0->SetBinContent(19,0.0); + S148_M_0->SetBinContent(20,0.0); + S148_M_0->SetBinContent(21,0.0); + S148_M_0->SetBinContent(22,0.0); + S148_M_0->SetBinContent(23,0.0); + S148_M_0->SetBinContent(24,0.0); + S148_M_0->SetBinContent(25,0.0); + S148_M_0->SetBinContent(26,0.0); + S148_M_0->SetBinContent(27,0.0); + S148_M_0->SetBinContent(28,0.0); + S148_M_0->SetBinContent(29,0.0); + S148_M_0->SetBinContent(30,0.0); + S148_M_0->SetBinContent(31,0.0); + S148_M_0->SetBinContent(32,0.0); + S148_M_0->SetBinContent(33,0.0); + S148_M_0->SetBinContent(34,0.0); + S148_M_0->SetBinContent(35,0.0); + S148_M_0->SetBinContent(36,0.0); + S148_M_0->SetBinContent(37,0.0); + S148_M_0->SetBinContent(38,0.0); + S148_M_0->SetBinContent(39,0.0); + S148_M_0->SetBinContent(40,0.0); + S148_M_0->SetBinContent(41,0.0); + S148_M_0->SetBinContent(42,0.0); + S148_M_0->SetBinContent(43,0.0); + S148_M_0->SetBinContent(44,0.0); + S148_M_0->SetBinContent(45,0.0); + S148_M_0->SetBinContent(46,0.0); + S148_M_0->SetBinContent(47,0.0); + S148_M_0->SetBinContent(48,0.0); + S148_M_0->SetBinContent(49,0.0); + S148_M_0->SetBinContent(50,0.0); + S148_M_0->SetBinContent(51,0.0); // overflow + S148_M_0->SetEntries(0); + // Style + S148_M_0->SetLineColor(9); + S148_M_0->SetLineStyle(1); + S148_M_0->SetLineWidth(1); + S148_M_0->SetFillColor(9); + S148_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_296","mystack"); + stack->Add(S148_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu mu pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ mu mu ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_147.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_147.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_147.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_147.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_147.py new file mode 100644 index 00000000..988f8ace --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_147.py @@ -0,0 +1,62 @@ +def selection_147(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y148_M_0 + y148_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y148_M_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ mu mu ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ mu mu\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y148_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y148_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_147.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_147.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_147.eps') + +# Running! +if __name__ == '__main__': + selection_147() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_148.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_148.C new file mode 100644 index 00000000..de030aee --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_148.C @@ -0,0 +1,117 @@ +void selection_148() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo297","canvas_plotflow_tempo297",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S149_PT_0 = new TH1F("S149_PT_0","S149_PT_0",50,0.0,1500.0); + // Content + S149_PT_0->SetBinContent(0,0.0); // underflow + S149_PT_0->SetBinContent(1,0.0); + S149_PT_0->SetBinContent(2,0.0); + S149_PT_0->SetBinContent(3,0.0); + S149_PT_0->SetBinContent(4,0.0); + S149_PT_0->SetBinContent(5,0.0); + S149_PT_0->SetBinContent(6,0.0); + S149_PT_0->SetBinContent(7,0.0); + S149_PT_0->SetBinContent(8,0.0); + S149_PT_0->SetBinContent(9,0.0); + S149_PT_0->SetBinContent(10,0.0); + S149_PT_0->SetBinContent(11,0.0); + S149_PT_0->SetBinContent(12,0.0); + S149_PT_0->SetBinContent(13,0.0); + S149_PT_0->SetBinContent(14,0.0); + S149_PT_0->SetBinContent(15,0.0); + S149_PT_0->SetBinContent(16,0.0); + S149_PT_0->SetBinContent(17,0.0); + S149_PT_0->SetBinContent(18,0.0); + S149_PT_0->SetBinContent(19,0.0); + S149_PT_0->SetBinContent(20,0.0); + S149_PT_0->SetBinContent(21,0.0); + S149_PT_0->SetBinContent(22,0.0); + S149_PT_0->SetBinContent(23,0.0); + S149_PT_0->SetBinContent(24,0.0); + S149_PT_0->SetBinContent(25,0.0); + S149_PT_0->SetBinContent(26,0.0); + S149_PT_0->SetBinContent(27,0.0); + S149_PT_0->SetBinContent(28,0.0); + S149_PT_0->SetBinContent(29,0.0); + S149_PT_0->SetBinContent(30,0.0); + S149_PT_0->SetBinContent(31,0.0); + S149_PT_0->SetBinContent(32,0.0); + S149_PT_0->SetBinContent(33,0.0); + S149_PT_0->SetBinContent(34,0.0); + S149_PT_0->SetBinContent(35,0.0); + S149_PT_0->SetBinContent(36,0.0); + S149_PT_0->SetBinContent(37,0.0); + S149_PT_0->SetBinContent(38,0.0); + S149_PT_0->SetBinContent(39,0.0); + S149_PT_0->SetBinContent(40,0.0); + S149_PT_0->SetBinContent(41,0.0); + S149_PT_0->SetBinContent(42,0.0); + S149_PT_0->SetBinContent(43,0.0); + S149_PT_0->SetBinContent(44,0.0); + S149_PT_0->SetBinContent(45,0.0); + S149_PT_0->SetBinContent(46,0.0); + S149_PT_0->SetBinContent(47,0.0); + S149_PT_0->SetBinContent(48,0.0); + S149_PT_0->SetBinContent(49,0.0); + S149_PT_0->SetBinContent(50,0.0); + S149_PT_0->SetBinContent(51,0.0); // overflow + S149_PT_0->SetEntries(0); + // Style + S149_PT_0->SetLineColor(9); + S149_PT_0->SetLineStyle(1); + S149_PT_0->SetLineWidth(1); + S149_PT_0->SetFillColor(9); + S149_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_298","mystack"); + stack->Add(S149_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu mu pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ mu mu ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_148.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_148.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_148.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_148.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_148.py new file mode 100644 index 00000000..fc44105b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_148.py @@ -0,0 +1,62 @@ +def selection_148(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) + + # Creating weights for histo: y149_PT_0 + y149_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y149_PT_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ mu mu ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ mu mu\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y149_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y149_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_148.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_148.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_148.eps') + +# Running! +if __name__ == '__main__': + selection_148() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_149.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_149.C new file mode 100644 index 00000000..f09950d7 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_149.C @@ -0,0 +1,117 @@ +void selection_149() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo299","canvas_plotflow_tempo299",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S150_DELTAR_0 = new TH1F("S150_DELTAR_0","S150_DELTAR_0",50,0.0,10.0); + // Content + S150_DELTAR_0->SetBinContent(0,0.0); // underflow + S150_DELTAR_0->SetBinContent(1,0.0); + S150_DELTAR_0->SetBinContent(2,0.0); + S150_DELTAR_0->SetBinContent(3,0.0); + S150_DELTAR_0->SetBinContent(4,0.0); + S150_DELTAR_0->SetBinContent(5,0.0); + S150_DELTAR_0->SetBinContent(6,0.0); + S150_DELTAR_0->SetBinContent(7,0.0); + S150_DELTAR_0->SetBinContent(8,0.0); + S150_DELTAR_0->SetBinContent(9,0.0); + S150_DELTAR_0->SetBinContent(10,0.0); + S150_DELTAR_0->SetBinContent(11,0.0); + S150_DELTAR_0->SetBinContent(12,0.0); + S150_DELTAR_0->SetBinContent(13,0.0); + S150_DELTAR_0->SetBinContent(14,0.0); + S150_DELTAR_0->SetBinContent(15,0.0); + S150_DELTAR_0->SetBinContent(16,0.0); + S150_DELTAR_0->SetBinContent(17,0.0); + S150_DELTAR_0->SetBinContent(18,0.0); + S150_DELTAR_0->SetBinContent(19,0.0); + S150_DELTAR_0->SetBinContent(20,0.0); + S150_DELTAR_0->SetBinContent(21,0.0); + S150_DELTAR_0->SetBinContent(22,0.0); + S150_DELTAR_0->SetBinContent(23,0.0); + S150_DELTAR_0->SetBinContent(24,0.0); + S150_DELTAR_0->SetBinContent(25,0.0); + S150_DELTAR_0->SetBinContent(26,0.0); + S150_DELTAR_0->SetBinContent(27,0.0); + S150_DELTAR_0->SetBinContent(28,0.0); + S150_DELTAR_0->SetBinContent(29,0.0); + S150_DELTAR_0->SetBinContent(30,0.0); + S150_DELTAR_0->SetBinContent(31,0.0); + S150_DELTAR_0->SetBinContent(32,0.0); + S150_DELTAR_0->SetBinContent(33,0.0); + S150_DELTAR_0->SetBinContent(34,0.0); + S150_DELTAR_0->SetBinContent(35,0.0); + S150_DELTAR_0->SetBinContent(36,0.0); + S150_DELTAR_0->SetBinContent(37,0.0); + S150_DELTAR_0->SetBinContent(38,0.0); + S150_DELTAR_0->SetBinContent(39,0.0); + S150_DELTAR_0->SetBinContent(40,0.0); + S150_DELTAR_0->SetBinContent(41,0.0); + S150_DELTAR_0->SetBinContent(42,0.0); + S150_DELTAR_0->SetBinContent(43,0.0); + S150_DELTAR_0->SetBinContent(44,0.0); + S150_DELTAR_0->SetBinContent(45,0.0); + S150_DELTAR_0->SetBinContent(46,0.0); + S150_DELTAR_0->SetBinContent(47,0.0); + S150_DELTAR_0->SetBinContent(48,0.0); + S150_DELTAR_0->SetBinContent(49,0.0); + S150_DELTAR_0->SetBinContent(50,0.0); + S150_DELTAR_0->SetBinContent(51,0.0); // overflow + S150_DELTAR_0->SetEntries(0); + // Style + S150_DELTAR_0->SetLineColor(9); + S150_DELTAR_0->SetLineStyle(1); + S150_DELTAR_0->SetLineWidth(1); + S150_DELTAR_0->SetFillColor(9); + S150_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_300","mystack"); + stack->Add(S150_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (b, b) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ b, b ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_149.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_149.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_149.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_149.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_149.py new file mode 100644 index 00000000..0311f16e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_149.py @@ -0,0 +1,62 @@ +def selection_149(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y150_DELTAR_0 + y150_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y150_DELTAR_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ b, b ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (b, b)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y150_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y150_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_149.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_149.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_149.eps') + +# Running! +if __name__ == '__main__': + selection_149() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_15.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_15.C new file mode 100644 index 00000000..fe92eda0 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_15.C @@ -0,0 +1,117 @@ +void selection_15() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo31","canvas_plotflow_tempo31",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S16_E_0 = new TH1F("S16_E_0","S16_E_0",50,0.0,2000.0); + // Content + S16_E_0->SetBinContent(0,0.0); // underflow + S16_E_0->SetBinContent(1,2.178144); + S16_E_0->SetBinContent(2,2.718818); + S16_E_0->SetBinContent(3,1.220379); + S16_E_0->SetBinContent(4,0.6179132); + S16_E_0->SetBinContent(5,0.4634349); + S16_E_0->SetBinContent(6,0.1544783); + S16_E_0->SetBinContent(7,0.1544783); + S16_E_0->SetBinContent(8,0.1544783); + S16_E_0->SetBinContent(9,0.04634349); + S16_E_0->SetBinContent(10,0.04634349); + S16_E_0->SetBinContent(11,0.01544783); + S16_E_0->SetBinContent(12,0.0); + S16_E_0->SetBinContent(13,0.04634349); + S16_E_0->SetBinContent(14,0.0); + S16_E_0->SetBinContent(15,0.0); + S16_E_0->SetBinContent(16,0.0); + S16_E_0->SetBinContent(17,0.0); + S16_E_0->SetBinContent(18,0.0); + S16_E_0->SetBinContent(19,0.0); + S16_E_0->SetBinContent(20,0.0); + S16_E_0->SetBinContent(21,0.0); + S16_E_0->SetBinContent(22,0.0); + S16_E_0->SetBinContent(23,0.0); + S16_E_0->SetBinContent(24,0.0); + S16_E_0->SetBinContent(25,0.0); + S16_E_0->SetBinContent(26,0.0); + S16_E_0->SetBinContent(27,0.0); + S16_E_0->SetBinContent(28,0.0); + S16_E_0->SetBinContent(29,0.0); + S16_E_0->SetBinContent(30,0.0); + S16_E_0->SetBinContent(31,0.0); + S16_E_0->SetBinContent(32,0.0); + S16_E_0->SetBinContent(33,0.0); + S16_E_0->SetBinContent(34,0.0); + S16_E_0->SetBinContent(35,0.0); + S16_E_0->SetBinContent(36,0.0); + S16_E_0->SetBinContent(37,0.0); + S16_E_0->SetBinContent(38,0.0); + S16_E_0->SetBinContent(39,0.0); + S16_E_0->SetBinContent(40,0.0); + S16_E_0->SetBinContent(41,0.0); + S16_E_0->SetBinContent(42,0.0); + S16_E_0->SetBinContent(43,0.0); + S16_E_0->SetBinContent(44,0.0); + S16_E_0->SetBinContent(45,0.0); + S16_E_0->SetBinContent(46,0.0); + S16_E_0->SetBinContent(47,0.0); + S16_E_0->SetBinContent(48,0.0); + S16_E_0->SetBinContent(49,0.0); + S16_E_0->SetBinContent(50,0.0); + S16_E_0->SetBinContent(51,0.0); // overflow + S16_E_0->SetEntries(506); + // Style + S16_E_0->SetLineColor(9); + S16_E_0->SetLineStyle(1); + S16_E_0->SetLineWidth(1); + S16_E_0->SetFillColor(9); + S16_E_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_32","mystack"); + stack->Add(S16_E_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E [ e ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_15.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_15.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_15.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_15.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_15.py new file mode 100644 index 00000000..62f9722d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_15.py @@ -0,0 +1,62 @@ +def selection_15(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y16_E_0 + y16_E_0_weights = numpy.array([2.178144,2.718818,1.220379,0.6179132,0.4634349,0.1544783,0.1544783,0.1544783,0.04634349,0.04634349,0.01544783,0.0,0.04634349,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y16_E_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E$ $[ e ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y16_E_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y16_E_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_15.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_15.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_15.eps') + +# Running! +if __name__ == '__main__': + selection_15() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_150.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_150.C new file mode 100644 index 00000000..3086f211 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_150.C @@ -0,0 +1,99 @@ +void selection_150() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo301","canvas_plotflow_tempo301",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S151_DPHI_0_PI_0 = new TH1F("S151_DPHI_0_PI_0","S151_DPHI_0_PI_0",32,0.0,3.2); + // Content + S151_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow + S151_DPHI_0_PI_0->SetBinContent(1,0.0); + S151_DPHI_0_PI_0->SetBinContent(2,0.0); + S151_DPHI_0_PI_0->SetBinContent(3,0.0); + S151_DPHI_0_PI_0->SetBinContent(4,0.0); + S151_DPHI_0_PI_0->SetBinContent(5,0.0); + S151_DPHI_0_PI_0->SetBinContent(6,0.0); + S151_DPHI_0_PI_0->SetBinContent(7,0.0); + S151_DPHI_0_PI_0->SetBinContent(8,0.0); + S151_DPHI_0_PI_0->SetBinContent(9,0.0); + S151_DPHI_0_PI_0->SetBinContent(10,0.0); + S151_DPHI_0_PI_0->SetBinContent(11,0.0); + S151_DPHI_0_PI_0->SetBinContent(12,0.0); + S151_DPHI_0_PI_0->SetBinContent(13,0.0); + S151_DPHI_0_PI_0->SetBinContent(14,0.0); + S151_DPHI_0_PI_0->SetBinContent(15,0.0); + S151_DPHI_0_PI_0->SetBinContent(16,0.0); + S151_DPHI_0_PI_0->SetBinContent(17,0.0); + S151_DPHI_0_PI_0->SetBinContent(18,0.0); + S151_DPHI_0_PI_0->SetBinContent(19,0.0); + S151_DPHI_0_PI_0->SetBinContent(20,0.0); + S151_DPHI_0_PI_0->SetBinContent(21,0.0); + S151_DPHI_0_PI_0->SetBinContent(22,0.0); + S151_DPHI_0_PI_0->SetBinContent(23,0.0); + S151_DPHI_0_PI_0->SetBinContent(24,0.0); + S151_DPHI_0_PI_0->SetBinContent(25,0.0); + S151_DPHI_0_PI_0->SetBinContent(26,0.0); + S151_DPHI_0_PI_0->SetBinContent(27,0.0); + S151_DPHI_0_PI_0->SetBinContent(28,0.0); + S151_DPHI_0_PI_0->SetBinContent(29,0.0); + S151_DPHI_0_PI_0->SetBinContent(30,0.0); + S151_DPHI_0_PI_0->SetBinContent(31,0.0); + S151_DPHI_0_PI_0->SetBinContent(32,0.0); + S151_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow + S151_DPHI_0_PI_0->SetEntries(0); + // Style + S151_DPHI_0_PI_0->SetLineColor(9); + S151_DPHI_0_PI_0->SetLineStyle(1); + S151_DPHI_0_PI_0->SetLineWidth(1); + S151_DPHI_0_PI_0->SetFillColor(9); + S151_DPHI_0_PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_302","mystack"); + stack->Add(S151_DPHI_0_PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (b, b) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ b, b ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_150.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_150.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_150.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_150.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_150.py new file mode 100644 index 00000000..199e2f02 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_150.py @@ -0,0 +1,62 @@ +def selection_150(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) + + # Creating weights for histo: y151_DPHI_0_PI_0 + y151_DPHI_0_PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y151_DPHI_0_PI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ b, b ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (b, b)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y151_DPHI_0_PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y151_DPHI_0_PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_150.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_150.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_150.eps') + +# Running! +if __name__ == '__main__': + selection_150() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_151.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_151.C new file mode 100644 index 00000000..9e3cf7b4 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_151.C @@ -0,0 +1,99 @@ +void selection_151() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo303","canvas_plotflow_tempo303",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S152_DPHI_0_2PI_0 = new TH1F("S152_DPHI_0_2PI_0","S152_DPHI_0_2PI_0",32,0.0,6.4); + // Content + S152_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow + S152_DPHI_0_2PI_0->SetBinContent(1,0.0); + S152_DPHI_0_2PI_0->SetBinContent(2,0.0); + S152_DPHI_0_2PI_0->SetBinContent(3,0.0); + S152_DPHI_0_2PI_0->SetBinContent(4,0.0); + S152_DPHI_0_2PI_0->SetBinContent(5,0.0); + S152_DPHI_0_2PI_0->SetBinContent(6,0.0); + S152_DPHI_0_2PI_0->SetBinContent(7,0.0); + S152_DPHI_0_2PI_0->SetBinContent(8,0.0); + S152_DPHI_0_2PI_0->SetBinContent(9,0.0); + S152_DPHI_0_2PI_0->SetBinContent(10,0.0); + S152_DPHI_0_2PI_0->SetBinContent(11,0.0); + S152_DPHI_0_2PI_0->SetBinContent(12,0.0); + S152_DPHI_0_2PI_0->SetBinContent(13,0.0); + S152_DPHI_0_2PI_0->SetBinContent(14,0.0); + S152_DPHI_0_2PI_0->SetBinContent(15,0.0); + S152_DPHI_0_2PI_0->SetBinContent(16,0.0); + S152_DPHI_0_2PI_0->SetBinContent(17,0.0); + S152_DPHI_0_2PI_0->SetBinContent(18,0.0); + S152_DPHI_0_2PI_0->SetBinContent(19,0.0); + S152_DPHI_0_2PI_0->SetBinContent(20,0.0); + S152_DPHI_0_2PI_0->SetBinContent(21,0.0); + S152_DPHI_0_2PI_0->SetBinContent(22,0.0); + S152_DPHI_0_2PI_0->SetBinContent(23,0.0); + S152_DPHI_0_2PI_0->SetBinContent(24,0.0); + S152_DPHI_0_2PI_0->SetBinContent(25,0.0); + S152_DPHI_0_2PI_0->SetBinContent(26,0.0); + S152_DPHI_0_2PI_0->SetBinContent(27,0.0); + S152_DPHI_0_2PI_0->SetBinContent(28,0.0); + S152_DPHI_0_2PI_0->SetBinContent(29,0.0); + S152_DPHI_0_2PI_0->SetBinContent(30,0.0); + S152_DPHI_0_2PI_0->SetBinContent(31,0.0); + S152_DPHI_0_2PI_0->SetBinContent(32,0.0); + S152_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow + S152_DPHI_0_2PI_0->SetEntries(0); + // Style + S152_DPHI_0_2PI_0->SetLineColor(9); + S152_DPHI_0_2PI_0->SetLineStyle(1); + S152_DPHI_0_2PI_0->SetLineWidth(1); + S152_DPHI_0_2PI_0->SetFillColor(9); + S152_DPHI_0_2PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_304","mystack"); + stack->Add(S152_DPHI_0_2PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (b, b) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ b, b ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_151.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_151.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_151.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_151.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_151.py new file mode 100644 index 00000000..ad2ba20e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_151.py @@ -0,0 +1,62 @@ +def selection_151(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) + + # Creating weights for histo: y152_DPHI_0_2PI_0 + y152_DPHI_0_2PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y152_DPHI_0_2PI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ b, b ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (b, b)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y152_DPHI_0_2PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y152_DPHI_0_2PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_151.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_151.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_151.eps') + +# Running! +if __name__ == '__main__': + selection_151() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_152.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_152.C new file mode 100644 index 00000000..0b5e36c0 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_152.C @@ -0,0 +1,117 @@ +void selection_152() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo305","canvas_plotflow_tempo305",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S153_M_0 = new TH1F("S153_M_0","S153_M_0",50,0.0,2000.0); + // Content + S153_M_0->SetBinContent(0,0.0); // underflow + S153_M_0->SetBinContent(1,0.0); + S153_M_0->SetBinContent(2,0.0); + S153_M_0->SetBinContent(3,0.0); + S153_M_0->SetBinContent(4,0.0); + S153_M_0->SetBinContent(5,0.0); + S153_M_0->SetBinContent(6,0.0); + S153_M_0->SetBinContent(7,0.0); + S153_M_0->SetBinContent(8,0.0); + S153_M_0->SetBinContent(9,0.0); + S153_M_0->SetBinContent(10,0.0); + S153_M_0->SetBinContent(11,0.0); + S153_M_0->SetBinContent(12,0.0); + S153_M_0->SetBinContent(13,0.0); + S153_M_0->SetBinContent(14,0.0); + S153_M_0->SetBinContent(15,0.0); + S153_M_0->SetBinContent(16,0.0); + S153_M_0->SetBinContent(17,0.0); + S153_M_0->SetBinContent(18,0.0); + S153_M_0->SetBinContent(19,0.0); + S153_M_0->SetBinContent(20,0.0); + S153_M_0->SetBinContent(21,0.0); + S153_M_0->SetBinContent(22,0.0); + S153_M_0->SetBinContent(23,0.0); + S153_M_0->SetBinContent(24,0.0); + S153_M_0->SetBinContent(25,0.0); + S153_M_0->SetBinContent(26,0.0); + S153_M_0->SetBinContent(27,0.0); + S153_M_0->SetBinContent(28,0.0); + S153_M_0->SetBinContent(29,0.0); + S153_M_0->SetBinContent(30,0.0); + S153_M_0->SetBinContent(31,0.0); + S153_M_0->SetBinContent(32,0.0); + S153_M_0->SetBinContent(33,0.0); + S153_M_0->SetBinContent(34,0.0); + S153_M_0->SetBinContent(35,0.0); + S153_M_0->SetBinContent(36,0.0); + S153_M_0->SetBinContent(37,0.0); + S153_M_0->SetBinContent(38,0.0); + S153_M_0->SetBinContent(39,0.0); + S153_M_0->SetBinContent(40,0.0); + S153_M_0->SetBinContent(41,0.0); + S153_M_0->SetBinContent(42,0.0); + S153_M_0->SetBinContent(43,0.0); + S153_M_0->SetBinContent(44,0.0); + S153_M_0->SetBinContent(45,0.0); + S153_M_0->SetBinContent(46,0.0); + S153_M_0->SetBinContent(47,0.0); + S153_M_0->SetBinContent(48,0.0); + S153_M_0->SetBinContent(49,0.0); + S153_M_0->SetBinContent(50,0.0); + S153_M_0->SetBinContent(51,0.0); // overflow + S153_M_0->SetEntries(0); + // Style + S153_M_0->SetLineColor(9); + S153_M_0->SetLineStyle(1); + S153_M_0->SetLineWidth(1); + S153_M_0->SetFillColor(9); + S153_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_306","mystack"); + stack->Add(S153_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b b pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ b b ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_152.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_152.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_152.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_152.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_152.py new file mode 100644 index 00000000..1424fd49 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_152.py @@ -0,0 +1,62 @@ +def selection_152(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y153_M_0 + y153_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y153_M_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ b b ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ b b\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y153_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y153_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_152.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_152.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_152.eps') + +# Running! +if __name__ == '__main__': + selection_152() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_153.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_153.C new file mode 100644 index 00000000..5ba0e74b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_153.C @@ -0,0 +1,117 @@ +void selection_153() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo307","canvas_plotflow_tempo307",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S154_PT_0 = new TH1F("S154_PT_0","S154_PT_0",50,0.0,2000.0); + // Content + S154_PT_0->SetBinContent(0,0.0); // underflow + S154_PT_0->SetBinContent(1,0.0); + S154_PT_0->SetBinContent(2,0.0); + S154_PT_0->SetBinContent(3,0.0); + S154_PT_0->SetBinContent(4,0.0); + S154_PT_0->SetBinContent(5,0.0); + S154_PT_0->SetBinContent(6,0.0); + S154_PT_0->SetBinContent(7,0.0); + S154_PT_0->SetBinContent(8,0.0); + S154_PT_0->SetBinContent(9,0.0); + S154_PT_0->SetBinContent(10,0.0); + S154_PT_0->SetBinContent(11,0.0); + S154_PT_0->SetBinContent(12,0.0); + S154_PT_0->SetBinContent(13,0.0); + S154_PT_0->SetBinContent(14,0.0); + S154_PT_0->SetBinContent(15,0.0); + S154_PT_0->SetBinContent(16,0.0); + S154_PT_0->SetBinContent(17,0.0); + S154_PT_0->SetBinContent(18,0.0); + S154_PT_0->SetBinContent(19,0.0); + S154_PT_0->SetBinContent(20,0.0); + S154_PT_0->SetBinContent(21,0.0); + S154_PT_0->SetBinContent(22,0.0); + S154_PT_0->SetBinContent(23,0.0); + S154_PT_0->SetBinContent(24,0.0); + S154_PT_0->SetBinContent(25,0.0); + S154_PT_0->SetBinContent(26,0.0); + S154_PT_0->SetBinContent(27,0.0); + S154_PT_0->SetBinContent(28,0.0); + S154_PT_0->SetBinContent(29,0.0); + S154_PT_0->SetBinContent(30,0.0); + S154_PT_0->SetBinContent(31,0.0); + S154_PT_0->SetBinContent(32,0.0); + S154_PT_0->SetBinContent(33,0.0); + S154_PT_0->SetBinContent(34,0.0); + S154_PT_0->SetBinContent(35,0.0); + S154_PT_0->SetBinContent(36,0.0); + S154_PT_0->SetBinContent(37,0.0); + S154_PT_0->SetBinContent(38,0.0); + S154_PT_0->SetBinContent(39,0.0); + S154_PT_0->SetBinContent(40,0.0); + S154_PT_0->SetBinContent(41,0.0); + S154_PT_0->SetBinContent(42,0.0); + S154_PT_0->SetBinContent(43,0.0); + S154_PT_0->SetBinContent(44,0.0); + S154_PT_0->SetBinContent(45,0.0); + S154_PT_0->SetBinContent(46,0.0); + S154_PT_0->SetBinContent(47,0.0); + S154_PT_0->SetBinContent(48,0.0); + S154_PT_0->SetBinContent(49,0.0); + S154_PT_0->SetBinContent(50,0.0); + S154_PT_0->SetBinContent(51,0.0); // overflow + S154_PT_0->SetEntries(0); + // Style + S154_PT_0->SetLineColor(9); + S154_PT_0->SetLineStyle(1); + S154_PT_0->SetLineWidth(1); + S154_PT_0->SetFillColor(9); + S154_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_308","mystack"); + stack->Add(S154_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b b pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ b b ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_153.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_153.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_153.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_153.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_153.py new file mode 100644 index 00000000..bcd4cb36 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_153.py @@ -0,0 +1,62 @@ +def selection_153(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y154_PT_0 + y154_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y154_PT_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ b b ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ b b\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y154_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y154_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_153.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_153.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_153.eps') + +# Running! +if __name__ == '__main__': + selection_153() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_154.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_154.C new file mode 100644 index 00000000..ac45e14c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_154.C @@ -0,0 +1,117 @@ +void selection_154() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo309","canvas_plotflow_tempo309",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S155_DELTAR_0 = new TH1F("S155_DELTAR_0","S155_DELTAR_0",50,0.0,10.0); + // Content + S155_DELTAR_0->SetBinContent(0,0.0); // underflow + S155_DELTAR_0->SetBinContent(1,0.0); + S155_DELTAR_0->SetBinContent(2,0.0); + S155_DELTAR_0->SetBinContent(3,0.2780609); + S155_DELTAR_0->SetBinContent(4,0.7106002); + S155_DELTAR_0->SetBinContent(5,1.328513); + S155_DELTAR_0->SetBinContent(6,2.842401); + S155_DELTAR_0->SetBinContent(7,2.842401); + S155_DELTAR_0->SetBinContent(8,3.27494); + S155_DELTAR_0->SetBinContent(9,3.120462); + S155_DELTAR_0->SetBinContent(10,3.182253); + S155_DELTAR_0->SetBinContent(11,3.367627); + S155_DELTAR_0->SetBinContent(12,2.224487); + S155_DELTAR_0->SetBinContent(13,1.884635); + S155_DELTAR_0->SetBinContent(14,2.070009); + S155_DELTAR_0->SetBinContent(15,1.761053); + S155_DELTAR_0->SetBinContent(16,1.204931); + S155_DELTAR_0->SetBinContent(17,0.5561219); + S155_DELTAR_0->SetBinContent(18,0.2162696); + S155_DELTAR_0->SetBinContent(19,0.0); + S155_DELTAR_0->SetBinContent(20,0.03089566); + S155_DELTAR_0->SetBinContent(21,0.0); + S155_DELTAR_0->SetBinContent(22,0.0); + S155_DELTAR_0->SetBinContent(23,0.0); + S155_DELTAR_0->SetBinContent(24,0.0); + S155_DELTAR_0->SetBinContent(25,0.0); + S155_DELTAR_0->SetBinContent(26,0.0); + S155_DELTAR_0->SetBinContent(27,0.0); + S155_DELTAR_0->SetBinContent(28,0.0); + S155_DELTAR_0->SetBinContent(29,0.0); + S155_DELTAR_0->SetBinContent(30,0.0); + S155_DELTAR_0->SetBinContent(31,0.0); + S155_DELTAR_0->SetBinContent(32,0.0); + S155_DELTAR_0->SetBinContent(33,0.0); + S155_DELTAR_0->SetBinContent(34,0.0); + S155_DELTAR_0->SetBinContent(35,0.0); + S155_DELTAR_0->SetBinContent(36,0.0); + S155_DELTAR_0->SetBinContent(37,0.0); + S155_DELTAR_0->SetBinContent(38,0.0); + S155_DELTAR_0->SetBinContent(39,0.0); + S155_DELTAR_0->SetBinContent(40,0.0); + S155_DELTAR_0->SetBinContent(41,0.0); + S155_DELTAR_0->SetBinContent(42,0.0); + S155_DELTAR_0->SetBinContent(43,0.0); + S155_DELTAR_0->SetBinContent(44,0.0); + S155_DELTAR_0->SetBinContent(45,0.0); + S155_DELTAR_0->SetBinContent(46,0.0); + S155_DELTAR_0->SetBinContent(47,0.0); + S155_DELTAR_0->SetBinContent(48,0.0); + S155_DELTAR_0->SetBinContent(49,0.0); + S155_DELTAR_0->SetBinContent(50,0.0); + S155_DELTAR_0->SetBinContent(51,0.0); // overflow + S155_DELTAR_0->SetEntries(2000); + // Style + S155_DELTAR_0->SetLineColor(9); + S155_DELTAR_0->SetLineStyle(1); + S155_DELTAR_0->SetLineWidth(1); + S155_DELTAR_0->SetFillColor(9); + S155_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_310","mystack"); + stack->Add(S155_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (j, j) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ j, j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_154.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_154.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_154.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_154.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_154.py new file mode 100644 index 00000000..77081d33 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_154.py @@ -0,0 +1,62 @@ +def selection_154(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y155_DELTAR_0 + y155_DELTAR_0_weights = numpy.array([0.0,0.0,0.2780609,0.7106002,1.328513,2.842401,2.842401,3.27494,3.120462,3.182253,3.367627,2.224487,1.884635,2.070009,1.761053,1.204931,0.5561219,0.2162696,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y155_DELTAR_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ j, j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (j, j)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y155_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y155_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_154.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_154.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_154.eps') + +# Running! +if __name__ == '__main__': + selection_154() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_155.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_155.C new file mode 100644 index 00000000..073031e4 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_155.C @@ -0,0 +1,99 @@ +void selection_155() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo311","canvas_plotflow_tempo311",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S156_DPHI_0_PI_0 = new TH1F("S156_DPHI_0_PI_0","S156_DPHI_0_PI_0",32,0.0,3.2); + // Content + S156_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow + S156_DPHI_0_PI_0->SetBinContent(1,0.5870175); + S156_DPHI_0_PI_0->SetBinContent(2,0.7723915); + S156_DPHI_0_PI_0->SetBinContent(3,0.7106002); + S156_DPHI_0_PI_0->SetBinContent(4,0.6488089); + S156_DPHI_0_PI_0->SetBinContent(5,0.8032872); + S156_DPHI_0_PI_0->SetBinContent(6,0.7414958); + S156_DPHI_0_PI_0->SetBinContent(7,0.8650785); + S156_DPHI_0_PI_0->SetBinContent(8,0.9268698); + S156_DPHI_0_PI_0->SetBinContent(9,1.204931); + S156_DPHI_0_PI_0->SetBinContent(10,1.143139); + S156_DPHI_0_PI_0->SetBinContent(11,1.575679); + S156_DPHI_0_PI_0->SetBinContent(12,1.359409); + S156_DPHI_0_PI_0->SetBinContent(13,1.575679); + S156_DPHI_0_PI_0->SetBinContent(14,0.8341828); + S156_DPHI_0_PI_0->SetBinContent(15,1.204931); + S156_DPHI_0_PI_0->SetBinContent(16,1.544783); + S156_DPHI_0_PI_0->SetBinContent(17,1.143139); + S156_DPHI_0_PI_0->SetBinContent(18,1.081348); + S156_DPHI_0_PI_0->SetBinContent(19,1.112244); + S156_DPHI_0_PI_0->SetBinContent(20,1.174035); + S156_DPHI_0_PI_0->SetBinContent(21,1.297618); + S156_DPHI_0_PI_0->SetBinContent(22,1.143139); + S156_DPHI_0_PI_0->SetBinContent(23,0.9886611); + S156_DPHI_0_PI_0->SetBinContent(24,0.8650785); + S156_DPHI_0_PI_0->SetBinContent(25,0.7106002); + S156_DPHI_0_PI_0->SetBinContent(26,0.7723915); + S156_DPHI_0_PI_0->SetBinContent(27,0.9577655); + S156_DPHI_0_PI_0->SetBinContent(28,0.8959741); + S156_DPHI_0_PI_0->SetBinContent(29,0.6797045); + S156_DPHI_0_PI_0->SetBinContent(30,0.7106002); + S156_DPHI_0_PI_0->SetBinContent(31,0.4634349); + S156_DPHI_0_PI_0->SetBinContent(32,0.4016436); + S156_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow + S156_DPHI_0_PI_0->SetEntries(2000); + // Style + S156_DPHI_0_PI_0->SetLineColor(9); + S156_DPHI_0_PI_0->SetLineStyle(1); + S156_DPHI_0_PI_0->SetLineWidth(1); + S156_DPHI_0_PI_0->SetFillColor(9); + S156_DPHI_0_PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_312","mystack"); + stack->Add(S156_DPHI_0_PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (j, j) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ j, j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_155.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_155.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_155.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_155.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_155.py new file mode 100644 index 00000000..ea7a8456 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_155.py @@ -0,0 +1,62 @@ +def selection_155(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) + + # Creating weights for histo: y156_DPHI_0_PI_0 + y156_DPHI_0_PI_0_weights = numpy.array([0.5870175,0.7723915,0.7106002,0.6488089,0.8032872,0.7414958,0.8650785,0.9268698,1.204931,1.143139,1.575679,1.359409,1.575679,0.8341828,1.204931,1.544783,1.143139,1.081348,1.112244,1.174035,1.297618,1.143139,0.9886611,0.8650785,0.7106002,0.7723915,0.9577655,0.8959741,0.6797045,0.7106002,0.4634349,0.4016436]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y156_DPHI_0_PI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ j, j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (j, j)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y156_DPHI_0_PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y156_DPHI_0_PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_155.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_155.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_155.eps') + +# Running! +if __name__ == '__main__': + selection_155() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_156.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_156.C new file mode 100644 index 00000000..4ff0d868 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_156.C @@ -0,0 +1,99 @@ +void selection_156() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo313","canvas_plotflow_tempo313",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S157_DPHI_0_2PI_0 = new TH1F("S157_DPHI_0_2PI_0","S157_DPHI_0_2PI_0",32,0.0,6.4); + // Content + S157_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow + S157_DPHI_0_2PI_0->SetBinContent(1,0.6797045); + S157_DPHI_0_2PI_0->SetBinContent(2,0.6797045); + S157_DPHI_0_2PI_0->SetBinContent(3,0.7723915); + S157_DPHI_0_2PI_0->SetBinContent(4,0.8959741); + S157_DPHI_0_2PI_0->SetBinContent(5,1.174035); + S157_DPHI_0_2PI_0->SetBinContent(6,1.467544); + S157_DPHI_0_2PI_0->SetBinContent(7,1.204931); + S157_DPHI_0_2PI_0->SetBinContent(8,1.374857); + S157_DPHI_0_2PI_0->SetBinContent(9,1.112244); + S157_DPHI_0_2PI_0->SetBinContent(10,1.143139); + S157_DPHI_0_2PI_0->SetBinContent(11,1.220379); + S157_DPHI_0_2PI_0->SetBinContent(12,0.9268698); + S157_DPHI_0_2PI_0->SetBinContent(13,0.7414958); + S157_DPHI_0_2PI_0->SetBinContent(14,0.9268698); + S157_DPHI_0_2PI_0->SetBinContent(15,0.6951523); + S157_DPHI_0_2PI_0->SetBinContent(16,0.6488089); + S157_DPHI_0_2PI_0->SetBinContent(17,0.5870175); + S157_DPHI_0_2PI_0->SetBinContent(18,0.8805263); + S157_DPHI_0_2PI_0->SetBinContent(19,0.8032872); + S157_DPHI_0_2PI_0->SetBinContent(20,0.8650785); + S157_DPHI_0_2PI_0->SetBinContent(21,1.0659); + S157_DPHI_0_2PI_0->SetBinContent(22,1.189483); + S157_DPHI_0_2PI_0->SetBinContent(23,1.112244); + S157_DPHI_0_2PI_0->SetBinContent(24,1.390305); + S157_DPHI_0_2PI_0->SetBinContent(25,1.004109); + S157_DPHI_0_2PI_0->SetBinContent(26,1.436648); + S157_DPHI_0_2PI_0->SetBinContent(27,1.359409); + S157_DPHI_0_2PI_0->SetBinContent(28,1.019557); + S157_DPHI_0_2PI_0->SetBinContent(29,0.8341828); + S157_DPHI_0_2PI_0->SetBinContent(30,0.726048); + S157_DPHI_0_2PI_0->SetBinContent(31,0.726048); + S157_DPHI_0_2PI_0->SetBinContent(32,0.2317174); + S157_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow + S157_DPHI_0_2PI_0->SetEntries(2000); + // Style + S157_DPHI_0_2PI_0->SetLineColor(9); + S157_DPHI_0_2PI_0->SetLineStyle(1); + S157_DPHI_0_2PI_0->SetLineWidth(1); + S157_DPHI_0_2PI_0->SetFillColor(9); + S157_DPHI_0_2PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_314","mystack"); + stack->Add(S157_DPHI_0_2PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (j, j) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ j, j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_156.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_156.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_156.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_156.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_156.py new file mode 100644 index 00000000..9d4151e1 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_156.py @@ -0,0 +1,62 @@ +def selection_156(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) + + # Creating weights for histo: y157_DPHI_0_2PI_0 + y157_DPHI_0_2PI_0_weights = numpy.array([0.6797045,0.6797045,0.7723915,0.8959741,1.174035,1.467544,1.204931,1.374857,1.112244,1.143139,1.220379,0.9268698,0.7414958,0.9268698,0.6951523,0.6488089,0.5870175,0.8805263,0.8032872,0.8650785,1.0659,1.189483,1.112244,1.390305,1.004109,1.436648,1.359409,1.019557,0.8341828,0.726048,0.726048,0.2317174]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y157_DPHI_0_2PI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ j, j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (j, j)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y157_DPHI_0_2PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y157_DPHI_0_2PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_156.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_156.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_156.eps') + +# Running! +if __name__ == '__main__': + selection_156() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_157.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_157.C new file mode 100644 index 00000000..9cbe4150 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_157.C @@ -0,0 +1,117 @@ +void selection_157() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo315","canvas_plotflow_tempo315",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S158_M_0 = new TH1F("S158_M_0","S158_M_0",50,0.0,3000.0); + // Content + S158_M_0->SetBinContent(0,0.0); // underflow + S158_M_0->SetBinContent(1,0.07723915); + S158_M_0->SetBinContent(2,15.37059); + S158_M_0->SetBinContent(3,0.0); + S158_M_0->SetBinContent(4,0.0); + S158_M_0->SetBinContent(5,0.0); + S158_M_0->SetBinContent(6,0.0); + S158_M_0->SetBinContent(7,0.0); + S158_M_0->SetBinContent(8,0.0); + S158_M_0->SetBinContent(9,0.0); + S158_M_0->SetBinContent(10,0.0); + S158_M_0->SetBinContent(11,0.0); + S158_M_0->SetBinContent(12,0.0); + S158_M_0->SetBinContent(13,0.0); + S158_M_0->SetBinContent(14,0.0); + S158_M_0->SetBinContent(15,0.0); + S158_M_0->SetBinContent(16,0.0); + S158_M_0->SetBinContent(17,0.0); + S158_M_0->SetBinContent(18,0.0); + S158_M_0->SetBinContent(19,0.0); + S158_M_0->SetBinContent(20,0.0); + S158_M_0->SetBinContent(21,0.0); + S158_M_0->SetBinContent(22,0.0); + S158_M_0->SetBinContent(23,0.0); + S158_M_0->SetBinContent(24,0.0); + S158_M_0->SetBinContent(25,0.0); + S158_M_0->SetBinContent(26,0.0); + S158_M_0->SetBinContent(27,0.0); + S158_M_0->SetBinContent(28,0.0); + S158_M_0->SetBinContent(29,0.0); + S158_M_0->SetBinContent(30,0.0); + S158_M_0->SetBinContent(31,0.0); + S158_M_0->SetBinContent(32,0.0); + S158_M_0->SetBinContent(33,0.0); + S158_M_0->SetBinContent(34,0.0); + S158_M_0->SetBinContent(35,0.0); + S158_M_0->SetBinContent(36,0.0); + S158_M_0->SetBinContent(37,0.0); + S158_M_0->SetBinContent(38,0.0); + S158_M_0->SetBinContent(39,0.0); + S158_M_0->SetBinContent(40,0.0); + S158_M_0->SetBinContent(41,0.0); + S158_M_0->SetBinContent(42,0.0); + S158_M_0->SetBinContent(43,0.0); + S158_M_0->SetBinContent(44,0.0); + S158_M_0->SetBinContent(45,0.0); + S158_M_0->SetBinContent(46,0.0); + S158_M_0->SetBinContent(47,0.0); + S158_M_0->SetBinContent(48,0.0); + S158_M_0->SetBinContent(49,0.0); + S158_M_0->SetBinContent(50,0.0); + S158_M_0->SetBinContent(51,0.0); // overflow + S158_M_0->SetEntries(1000); + // Style + S158_M_0->SetLineColor(9); + S158_M_0->SetLineStyle(1); + S158_M_0->SetLineWidth(1); + S158_M_0->SetFillColor(9); + S158_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_316","mystack"); + stack->Add(S158_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j j pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ j j ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_157.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_157.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_157.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_157.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_157.py new file mode 100644 index 00000000..63c5575a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_157.py @@ -0,0 +1,62 @@ +def selection_157(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) + + # Creating weights for histo: y158_M_0 + y158_M_0_weights = numpy.array([0.07723915,15.37059,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y158_M_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ j j ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ j j\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y158_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y158_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_157.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_157.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_157.eps') + +# Running! +if __name__ == '__main__': + selection_157() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_158.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_158.C new file mode 100644 index 00000000..057a6641 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_158.C @@ -0,0 +1,117 @@ +void selection_158() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo317","canvas_plotflow_tempo317",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S159_PT_0 = new TH1F("S159_PT_0","S159_PT_0",50,0.0,3000.0); + // Content + S159_PT_0->SetBinContent(0,0.0); // underflow + S159_PT_0->SetBinContent(1,5.514875); + S159_PT_0->SetBinContent(2,6.472641); + S159_PT_0->SetBinContent(3,2.595235); + S159_PT_0->SetBinContent(4,0.6024654); + S159_PT_0->SetBinContent(5,0.1544783); + S159_PT_0->SetBinContent(6,0.07723915); + S159_PT_0->SetBinContent(7,0.03089566); + S159_PT_0->SetBinContent(8,0.0); + S159_PT_0->SetBinContent(9,0.0); + S159_PT_0->SetBinContent(10,0.0); + S159_PT_0->SetBinContent(11,0.0); + S159_PT_0->SetBinContent(12,0.0); + S159_PT_0->SetBinContent(13,0.0); + S159_PT_0->SetBinContent(14,0.0); + S159_PT_0->SetBinContent(15,0.0); + S159_PT_0->SetBinContent(16,0.0); + S159_PT_0->SetBinContent(17,0.0); + S159_PT_0->SetBinContent(18,0.0); + S159_PT_0->SetBinContent(19,0.0); + S159_PT_0->SetBinContent(20,0.0); + S159_PT_0->SetBinContent(21,0.0); + S159_PT_0->SetBinContent(22,0.0); + S159_PT_0->SetBinContent(23,0.0); + S159_PT_0->SetBinContent(24,0.0); + S159_PT_0->SetBinContent(25,0.0); + S159_PT_0->SetBinContent(26,0.0); + S159_PT_0->SetBinContent(27,0.0); + S159_PT_0->SetBinContent(28,0.0); + S159_PT_0->SetBinContent(29,0.0); + S159_PT_0->SetBinContent(30,0.0); + S159_PT_0->SetBinContent(31,0.0); + S159_PT_0->SetBinContent(32,0.0); + S159_PT_0->SetBinContent(33,0.0); + S159_PT_0->SetBinContent(34,0.0); + S159_PT_0->SetBinContent(35,0.0); + S159_PT_0->SetBinContent(36,0.0); + S159_PT_0->SetBinContent(37,0.0); + S159_PT_0->SetBinContent(38,0.0); + S159_PT_0->SetBinContent(39,0.0); + S159_PT_0->SetBinContent(40,0.0); + S159_PT_0->SetBinContent(41,0.0); + S159_PT_0->SetBinContent(42,0.0); + S159_PT_0->SetBinContent(43,0.0); + S159_PT_0->SetBinContent(44,0.0); + S159_PT_0->SetBinContent(45,0.0); + S159_PT_0->SetBinContent(46,0.0); + S159_PT_0->SetBinContent(47,0.0); + S159_PT_0->SetBinContent(48,0.0); + S159_PT_0->SetBinContent(49,0.0); + S159_PT_0->SetBinContent(50,0.0); + S159_PT_0->SetBinContent(51,0.0); // overflow + S159_PT_0->SetEntries(1000); + // Style + S159_PT_0->SetLineColor(9); + S159_PT_0->SetLineStyle(1); + S159_PT_0->SetLineWidth(1); + S159_PT_0->SetFillColor(9); + S159_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_318","mystack"); + stack->Add(S159_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j j pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ j j ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_158.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_158.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_158.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_158.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_158.py new file mode 100644 index 00000000..e574388a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_158.py @@ -0,0 +1,62 @@ +def selection_158(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) + + # Creating weights for histo: y159_PT_0 + y159_PT_0_weights = numpy.array([5.514875,6.472641,2.595235,0.6024654,0.1544783,0.07723915,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y159_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ j j ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ j j\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y159_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y159_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_158.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_158.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_158.eps') + +# Running! +if __name__ == '__main__': + selection_158() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_159.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_159.C new file mode 100644 index 00000000..d8d31adc --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_159.C @@ -0,0 +1,117 @@ +void selection_159() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo319","canvas_plotflow_tempo319",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S160_DELTAR_0 = new TH1F("S160_DELTAR_0","S160_DELTAR_0",50,0.0,10.0); + // Content + S160_DELTAR_0->SetBinContent(0,0.0); // underflow + S160_DELTAR_0->SetBinContent(1,0.0); + S160_DELTAR_0->SetBinContent(2,0.0); + S160_DELTAR_0->SetBinContent(3,0.0); + S160_DELTAR_0->SetBinContent(4,0.0); + S160_DELTAR_0->SetBinContent(5,0.0); + S160_DELTAR_0->SetBinContent(6,0.0); + S160_DELTAR_0->SetBinContent(7,0.0); + S160_DELTAR_0->SetBinContent(8,0.0); + S160_DELTAR_0->SetBinContent(9,0.0); + S160_DELTAR_0->SetBinContent(10,0.0); + S160_DELTAR_0->SetBinContent(11,0.0); + S160_DELTAR_0->SetBinContent(12,0.0); + S160_DELTAR_0->SetBinContent(13,0.0); + S160_DELTAR_0->SetBinContent(14,0.0); + S160_DELTAR_0->SetBinContent(15,0.0); + S160_DELTAR_0->SetBinContent(16,0.0); + S160_DELTAR_0->SetBinContent(17,0.0); + S160_DELTAR_0->SetBinContent(18,0.0); + S160_DELTAR_0->SetBinContent(19,0.0); + S160_DELTAR_0->SetBinContent(20,0.0); + S160_DELTAR_0->SetBinContent(21,0.0); + S160_DELTAR_0->SetBinContent(22,0.0); + S160_DELTAR_0->SetBinContent(23,0.0); + S160_DELTAR_0->SetBinContent(24,0.0); + S160_DELTAR_0->SetBinContent(25,0.0); + S160_DELTAR_0->SetBinContent(26,0.0); + S160_DELTAR_0->SetBinContent(27,0.0); + S160_DELTAR_0->SetBinContent(28,0.0); + S160_DELTAR_0->SetBinContent(29,0.0); + S160_DELTAR_0->SetBinContent(30,0.0); + S160_DELTAR_0->SetBinContent(31,0.0); + S160_DELTAR_0->SetBinContent(32,0.0); + S160_DELTAR_0->SetBinContent(33,0.0); + S160_DELTAR_0->SetBinContent(34,0.0); + S160_DELTAR_0->SetBinContent(35,0.0); + S160_DELTAR_0->SetBinContent(36,0.0); + S160_DELTAR_0->SetBinContent(37,0.0); + S160_DELTAR_0->SetBinContent(38,0.0); + S160_DELTAR_0->SetBinContent(39,0.0); + S160_DELTAR_0->SetBinContent(40,0.0); + S160_DELTAR_0->SetBinContent(41,0.0); + S160_DELTAR_0->SetBinContent(42,0.0); + S160_DELTAR_0->SetBinContent(43,0.0); + S160_DELTAR_0->SetBinContent(44,0.0); + S160_DELTAR_0->SetBinContent(45,0.0); + S160_DELTAR_0->SetBinContent(46,0.0); + S160_DELTAR_0->SetBinContent(47,0.0); + S160_DELTAR_0->SetBinContent(48,0.0); + S160_DELTAR_0->SetBinContent(49,0.0); + S160_DELTAR_0->SetBinContent(50,0.0); + S160_DELTAR_0->SetBinContent(51,0.0); // overflow + S160_DELTAR_0->SetEntries(0); + // Style + S160_DELTAR_0->SetLineColor(9); + S160_DELTAR_0->SetLineStyle(1); + S160_DELTAR_0->SetLineWidth(1); + S160_DELTAR_0->SetFillColor(9); + S160_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_320","mystack"); + stack->Add(S160_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.04); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (e, mu) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ e, mu ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_159.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_159.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_159.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_159.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_159.py new file mode 100644 index 00000000..9deec3e5 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_159.py @@ -0,0 +1,62 @@ +def selection_159(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y160_DELTAR_0 + y160_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y160_DELTAR_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ e, mu ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (e, mu)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y160_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y160_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_159.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_159.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_159.eps') + +# Running! +if __name__ == '__main__': + selection_159() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_16.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_16.C new file mode 100644 index 00000000..d5d13fc9 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_16.C @@ -0,0 +1,117 @@ +void selection_16() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo33","canvas_plotflow_tempo33",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S17_ET_0 = new TH1F("S17_ET_0","S17_ET_0",50,0.0,2000.0); + // Content + S17_ET_0->SetBinContent(0,0.0); // underflow + S17_ET_0->SetBinContent(1,3.815614); + S17_ET_0->SetBinContent(2,2.873296); + S17_ET_0->SetBinContent(3,0.7723915); + S17_ET_0->SetBinContent(4,0.185374); + S17_ET_0->SetBinContent(5,0.1235826); + S17_ET_0->SetBinContent(6,0.0); + S17_ET_0->SetBinContent(7,0.01544783); + S17_ET_0->SetBinContent(8,0.01544783); + S17_ET_0->SetBinContent(9,0.01544783); + S17_ET_0->SetBinContent(10,0.0); + S17_ET_0->SetBinContent(11,0.0); + S17_ET_0->SetBinContent(12,0.0); + S17_ET_0->SetBinContent(13,0.0); + S17_ET_0->SetBinContent(14,0.0); + S17_ET_0->SetBinContent(15,0.0); + S17_ET_0->SetBinContent(16,0.0); + S17_ET_0->SetBinContent(17,0.0); + S17_ET_0->SetBinContent(18,0.0); + S17_ET_0->SetBinContent(19,0.0); + S17_ET_0->SetBinContent(20,0.0); + S17_ET_0->SetBinContent(21,0.0); + S17_ET_0->SetBinContent(22,0.0); + S17_ET_0->SetBinContent(23,0.0); + S17_ET_0->SetBinContent(24,0.0); + S17_ET_0->SetBinContent(25,0.0); + S17_ET_0->SetBinContent(26,0.0); + S17_ET_0->SetBinContent(27,0.0); + S17_ET_0->SetBinContent(28,0.0); + S17_ET_0->SetBinContent(29,0.0); + S17_ET_0->SetBinContent(30,0.0); + S17_ET_0->SetBinContent(31,0.0); + S17_ET_0->SetBinContent(32,0.0); + S17_ET_0->SetBinContent(33,0.0); + S17_ET_0->SetBinContent(34,0.0); + S17_ET_0->SetBinContent(35,0.0); + S17_ET_0->SetBinContent(36,0.0); + S17_ET_0->SetBinContent(37,0.0); + S17_ET_0->SetBinContent(38,0.0); + S17_ET_0->SetBinContent(39,0.0); + S17_ET_0->SetBinContent(40,0.0); + S17_ET_0->SetBinContent(41,0.0); + S17_ET_0->SetBinContent(42,0.0); + S17_ET_0->SetBinContent(43,0.0); + S17_ET_0->SetBinContent(44,0.0); + S17_ET_0->SetBinContent(45,0.0); + S17_ET_0->SetBinContent(46,0.0); + S17_ET_0->SetBinContent(47,0.0); + S17_ET_0->SetBinContent(48,0.0); + S17_ET_0->SetBinContent(49,0.0); + S17_ET_0->SetBinContent(50,0.0); + S17_ET_0->SetBinContent(51,0.0); // overflow + S17_ET_0->SetEntries(506); + // Style + S17_ET_0->SetLineColor(9); + S17_ET_0->SetLineStyle(1); + S17_ET_0->SetLineWidth(1); + S17_ET_0->SetFillColor(9); + S17_ET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_34","mystack"); + stack->Add(S17_ET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E_{T} [ e ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_16.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_16.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_16.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_16.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_16.py new file mode 100644 index 00000000..5340ee48 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_16.py @@ -0,0 +1,62 @@ +def selection_16(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y17_ET_0 + y17_ET_0_weights = numpy.array([3.815614,2.873296,0.7723915,0.185374,0.1235826,0.0,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y17_ET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E_{T}$ $[ e ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y17_ET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y17_ET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_16.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_16.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_16.eps') + +# Running! +if __name__ == '__main__': + selection_16() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_160.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_160.C new file mode 100644 index 00000000..50a5d229 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_160.C @@ -0,0 +1,117 @@ +void selection_160() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo321","canvas_plotflow_tempo321",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S161_DELTAR_0 = new TH1F("S161_DELTAR_0","S161_DELTAR_0",50,0.0,10.0); + // Content + S161_DELTAR_0->SetBinContent(0,0.0); // underflow + S161_DELTAR_0->SetBinContent(1,0.07723915); + S161_DELTAR_0->SetBinContent(2,0.1081348); + S161_DELTAR_0->SetBinContent(3,0.3398523); + S161_DELTAR_0->SetBinContent(4,0.3861957); + S161_DELTAR_0->SetBinContent(5,0.5097784); + S161_DELTAR_0->SetBinContent(6,0.5715697); + S161_DELTAR_0->SetBinContent(7,0.6797045); + S161_DELTAR_0->SetBinContent(8,0.9268698); + S161_DELTAR_0->SetBinContent(9,0.8959741); + S161_DELTAR_0->SetBinContent(10,0.9732133); + S161_DELTAR_0->SetBinContent(11,1.127692); + S161_DELTAR_0->SetBinContent(12,0.9423176); + S161_DELTAR_0->SetBinContent(13,1.452096); + S161_DELTAR_0->SetBinContent(14,1.297618); + S161_DELTAR_0->SetBinContent(15,1.99277); + S161_DELTAR_0->SetBinContent(16,1.251274); + S161_DELTAR_0->SetBinContent(17,0.7569437); + S161_DELTAR_0->SetBinContent(18,0.6024654); + S161_DELTAR_0->SetBinContent(19,0.3089566); + S161_DELTAR_0->SetBinContent(20,0.1699261); + S161_DELTAR_0->SetBinContent(21,0.1544783); + S161_DELTAR_0->SetBinContent(22,0.03089566); + S161_DELTAR_0->SetBinContent(23,0.03089566); + S161_DELTAR_0->SetBinContent(24,0.03089566); + S161_DELTAR_0->SetBinContent(25,0.01544783); + S161_DELTAR_0->SetBinContent(26,0.0); + S161_DELTAR_0->SetBinContent(27,0.0); + S161_DELTAR_0->SetBinContent(28,0.0); + S161_DELTAR_0->SetBinContent(29,0.0); + S161_DELTAR_0->SetBinContent(30,0.0); + S161_DELTAR_0->SetBinContent(31,0.0); + S161_DELTAR_0->SetBinContent(32,0.0); + S161_DELTAR_0->SetBinContent(33,0.0); + S161_DELTAR_0->SetBinContent(34,0.0); + S161_DELTAR_0->SetBinContent(35,0.0); + S161_DELTAR_0->SetBinContent(36,0.0); + S161_DELTAR_0->SetBinContent(37,0.0); + S161_DELTAR_0->SetBinContent(38,0.0); + S161_DELTAR_0->SetBinContent(39,0.0); + S161_DELTAR_0->SetBinContent(40,0.0); + S161_DELTAR_0->SetBinContent(41,0.0); + S161_DELTAR_0->SetBinContent(42,0.0); + S161_DELTAR_0->SetBinContent(43,0.0); + S161_DELTAR_0->SetBinContent(44,0.0); + S161_DELTAR_0->SetBinContent(45,0.0); + S161_DELTAR_0->SetBinContent(46,0.0); + S161_DELTAR_0->SetBinContent(47,0.0); + S161_DELTAR_0->SetBinContent(48,0.0); + S161_DELTAR_0->SetBinContent(49,0.0); + S161_DELTAR_0->SetBinContent(50,0.0); + S161_DELTAR_0->SetBinContent(51,0.0); // overflow + S161_DELTAR_0->SetEntries(1012); + // Style + S161_DELTAR_0->SetLineColor(9); + S161_DELTAR_0->SetLineStyle(1); + S161_DELTAR_0->SetLineWidth(1); + S161_DELTAR_0->SetFillColor(9); + S161_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_322","mystack"); + stack->Add(S161_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (e, j) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ e, j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_160.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_160.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_160.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_160.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_160.py new file mode 100644 index 00000000..8c8de18d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_160.py @@ -0,0 +1,62 @@ +def selection_160(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y161_DELTAR_0 + y161_DELTAR_0_weights = numpy.array([0.07723915,0.1081348,0.3398523,0.3861957,0.5097784,0.5715697,0.6797045,0.9268698,0.8959741,0.9732133,1.127692,0.9423176,1.452096,1.297618,1.99277,1.251274,0.7569437,0.6024654,0.3089566,0.1699261,0.1544783,0.03089566,0.03089566,0.03089566,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y161_DELTAR_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ e, j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (e, j)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y161_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y161_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_160.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_160.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_160.eps') + +# Running! +if __name__ == '__main__': + selection_160() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_161.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_161.C new file mode 100644 index 00000000..36ffed02 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_161.C @@ -0,0 +1,117 @@ +void selection_161() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo323","canvas_plotflow_tempo323",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S162_DELTAR_0 = new TH1F("S162_DELTAR_0","S162_DELTAR_0",50,0.0,10.0); + // Content + S162_DELTAR_0->SetBinContent(0,0.0); // underflow + S162_DELTAR_0->SetBinContent(1,0.06179132); + S162_DELTAR_0->SetBinContent(2,0.2008218); + S162_DELTAR_0->SetBinContent(3,0.2626131); + S162_DELTAR_0->SetBinContent(4,0.4016436); + S162_DELTAR_0->SetBinContent(5,0.4943306); + S162_DELTAR_0->SetBinContent(6,0.5870175); + S162_DELTAR_0->SetBinContent(7,0.818735); + S162_DELTAR_0->SetBinContent(8,0.8959741); + S162_DELTAR_0->SetBinContent(9,1.127692); + S162_DELTAR_0->SetBinContent(10,0.818735); + S162_DELTAR_0->SetBinContent(11,1.143139); + S162_DELTAR_0->SetBinContent(12,1.204931); + S162_DELTAR_0->SetBinContent(13,1.220379); + S162_DELTAR_0->SetBinContent(14,1.374857); + S162_DELTAR_0->SetBinContent(15,1.390305); + S162_DELTAR_0->SetBinContent(16,1.204931); + S162_DELTAR_0->SetBinContent(17,0.7106002); + S162_DELTAR_0->SetBinContent(18,0.6179132); + S162_DELTAR_0->SetBinContent(19,0.3553001); + S162_DELTAR_0->SetBinContent(20,0.1699261); + S162_DELTAR_0->SetBinContent(21,0.09268698); + S162_DELTAR_0->SetBinContent(22,0.03089566); + S162_DELTAR_0->SetBinContent(23,0.03089566); + S162_DELTAR_0->SetBinContent(24,0.01544783); + S162_DELTAR_0->SetBinContent(25,0.01544783); + S162_DELTAR_0->SetBinContent(26,0.0); + S162_DELTAR_0->SetBinContent(27,0.0); + S162_DELTAR_0->SetBinContent(28,0.0); + S162_DELTAR_0->SetBinContent(29,0.0); + S162_DELTAR_0->SetBinContent(30,0.01544783); + S162_DELTAR_0->SetBinContent(31,0.0); + S162_DELTAR_0->SetBinContent(32,0.0); + S162_DELTAR_0->SetBinContent(33,0.0); + S162_DELTAR_0->SetBinContent(34,0.0); + S162_DELTAR_0->SetBinContent(35,0.0); + S162_DELTAR_0->SetBinContent(36,0.0); + S162_DELTAR_0->SetBinContent(37,0.0); + S162_DELTAR_0->SetBinContent(38,0.0); + S162_DELTAR_0->SetBinContent(39,0.0); + S162_DELTAR_0->SetBinContent(40,0.0); + S162_DELTAR_0->SetBinContent(41,0.0); + S162_DELTAR_0->SetBinContent(42,0.0); + S162_DELTAR_0->SetBinContent(43,0.0); + S162_DELTAR_0->SetBinContent(44,0.0); + S162_DELTAR_0->SetBinContent(45,0.0); + S162_DELTAR_0->SetBinContent(46,0.0); + S162_DELTAR_0->SetBinContent(47,0.0); + S162_DELTAR_0->SetBinContent(48,0.0); + S162_DELTAR_0->SetBinContent(49,0.0); + S162_DELTAR_0->SetBinContent(50,0.0); + S162_DELTAR_0->SetBinContent(51,0.0); // overflow + S162_DELTAR_0->SetEntries(988); + // Style + S162_DELTAR_0->SetLineColor(9); + S162_DELTAR_0->SetLineStyle(1); + S162_DELTAR_0->SetLineWidth(1); + S162_DELTAR_0->SetFillColor(9); + S162_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_324","mystack"); + stack->Add(S162_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.04); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (mu, j) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ mu, j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_161.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_161.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_161.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_161.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_161.py new file mode 100644 index 00000000..0e50f4be --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_161.py @@ -0,0 +1,62 @@ +def selection_161(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y162_DELTAR_0 + y162_DELTAR_0_weights = numpy.array([0.06179132,0.2008218,0.2626131,0.4016436,0.4943306,0.5870175,0.818735,0.8959741,1.127692,0.818735,1.143139,1.204931,1.220379,1.374857,1.390305,1.204931,0.7106002,0.6179132,0.3553001,0.1699261,0.09268698,0.03089566,0.03089566,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y162_DELTAR_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ mu, j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (mu, j)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y162_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y162_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_161.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_161.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_161.eps') + +# Running! +if __name__ == '__main__': + selection_161() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_162.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_162.C new file mode 100644 index 00000000..0897b2eb --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_162.C @@ -0,0 +1,117 @@ +void selection_162() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo325","canvas_plotflow_tempo325",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S163_DELTAR_0 = new TH1F("S163_DELTAR_0","S163_DELTAR_0",50,0.0,10.0); + // Content + S163_DELTAR_0->SetBinContent(0,0.0); // underflow + S163_DELTAR_0->SetBinContent(1,0.0); + S163_DELTAR_0->SetBinContent(2,0.0); + S163_DELTAR_0->SetBinContent(3,0.4634349); + S163_DELTAR_0->SetBinContent(4,0.7878393); + S163_DELTAR_0->SetBinContent(5,1.0659); + S163_DELTAR_0->SetBinContent(6,1.560231); + S163_DELTAR_0->SetBinContent(7,1.374857); + S163_DELTAR_0->SetBinContent(8,1.99277); + S163_DELTAR_0->SetBinContent(9,2.178144); + S163_DELTAR_0->SetBinContent(10,2.270831); + S163_DELTAR_0->SetBinContent(11,2.301727); + S163_DELTAR_0->SetBinContent(12,2.595235); + S163_DELTAR_0->SetBinContent(13,2.657027); + S163_DELTAR_0->SetBinContent(14,2.626131); + S163_DELTAR_0->SetBinContent(15,2.965983); + S163_DELTAR_0->SetBinContent(16,2.657027); + S163_DELTAR_0->SetBinContent(17,1.4212); + S163_DELTAR_0->SetBinContent(18,0.7723915); + S163_DELTAR_0->SetBinContent(19,0.5870175); + S163_DELTAR_0->SetBinContent(20,0.3244044); + S163_DELTAR_0->SetBinContent(21,0.1081348); + S163_DELTAR_0->SetBinContent(22,0.06179132); + S163_DELTAR_0->SetBinContent(23,0.07723915); + S163_DELTAR_0->SetBinContent(24,0.01544783); + S163_DELTAR_0->SetBinContent(25,0.01544783); + S163_DELTAR_0->SetBinContent(26,0.01544783); + S163_DELTAR_0->SetBinContent(27,0.0); + S163_DELTAR_0->SetBinContent(28,0.0); + S163_DELTAR_0->SetBinContent(29,0.0); + S163_DELTAR_0->SetBinContent(30,0.0); + S163_DELTAR_0->SetBinContent(31,0.0); + S163_DELTAR_0->SetBinContent(32,0.0); + S163_DELTAR_0->SetBinContent(33,0.0); + S163_DELTAR_0->SetBinContent(34,0.0); + S163_DELTAR_0->SetBinContent(35,0.0); + S163_DELTAR_0->SetBinContent(36,0.0); + S163_DELTAR_0->SetBinContent(37,0.0); + S163_DELTAR_0->SetBinContent(38,0.0); + S163_DELTAR_0->SetBinContent(39,0.0); + S163_DELTAR_0->SetBinContent(40,0.0); + S163_DELTAR_0->SetBinContent(41,0.0); + S163_DELTAR_0->SetBinContent(42,0.0); + S163_DELTAR_0->SetBinContent(43,0.0); + S163_DELTAR_0->SetBinContent(44,0.0); + S163_DELTAR_0->SetBinContent(45,0.0); + S163_DELTAR_0->SetBinContent(46,0.0); + S163_DELTAR_0->SetBinContent(47,0.0); + S163_DELTAR_0->SetBinContent(48,0.0); + S163_DELTAR_0->SetBinContent(49,0.0); + S163_DELTAR_0->SetBinContent(50,0.0); + S163_DELTAR_0->SetBinContent(51,0.0); // overflow + S163_DELTAR_0->SetEntries(2000); + // Style + S163_DELTAR_0->SetLineColor(9); + S163_DELTAR_0->SetLineStyle(1); + S163_DELTAR_0->SetLineWidth(1); + S163_DELTAR_0->SetFillColor(9); + S163_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_326","mystack"); + stack->Add(S163_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of (b, j) pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ b, j ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_162.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_162.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_162.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_162.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_162.py new file mode 100644 index 00000000..10c7a8f1 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_162.py @@ -0,0 +1,62 @@ +def selection_162(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y163_DELTAR_0 + y163_DELTAR_0_weights = numpy.array([0.0,0.0,0.4634349,0.7878393,1.0659,1.560231,1.374857,1.99277,2.178144,2.270831,2.301727,2.595235,2.657027,2.626131,2.965983,2.657027,1.4212,0.7723915,0.5870175,0.3244044,0.1081348,0.06179132,0.07723915,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y163_DELTAR_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ b, j ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (b, j)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y163_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y163_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_162.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_162.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_162.eps') + +# Running! +if __name__ == '__main__': + selection_162() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_163.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_163.C new file mode 100644 index 00000000..356832d7 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_163.C @@ -0,0 +1,117 @@ +void selection_163() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo327","canvas_plotflow_tempo327",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S164_M_0 = new TH1F("S164_M_0","S164_M_0",50,0.0,1000.0); + // Content + S164_M_0->SetBinContent(0,0.0); // underflow + S164_M_0->SetBinContent(1,0.0); + S164_M_0->SetBinContent(2,0.0); + S164_M_0->SetBinContent(3,0.0); + S164_M_0->SetBinContent(4,0.0); + S164_M_0->SetBinContent(5,0.0); + S164_M_0->SetBinContent(6,0.0); + S164_M_0->SetBinContent(7,0.0); + S164_M_0->SetBinContent(8,0.0); + S164_M_0->SetBinContent(9,0.0); + S164_M_0->SetBinContent(10,0.0); + S164_M_0->SetBinContent(11,0.0); + S164_M_0->SetBinContent(12,0.0); + S164_M_0->SetBinContent(13,0.0); + S164_M_0->SetBinContent(14,0.0); + S164_M_0->SetBinContent(15,0.0); + S164_M_0->SetBinContent(16,0.0); + S164_M_0->SetBinContent(17,0.0); + S164_M_0->SetBinContent(18,0.0); + S164_M_0->SetBinContent(19,0.0); + S164_M_0->SetBinContent(20,0.0); + S164_M_0->SetBinContent(21,0.0); + S164_M_0->SetBinContent(22,0.0); + S164_M_0->SetBinContent(23,0.0); + S164_M_0->SetBinContent(24,0.0); + S164_M_0->SetBinContent(25,0.0); + S164_M_0->SetBinContent(26,0.0); + S164_M_0->SetBinContent(27,0.0); + S164_M_0->SetBinContent(28,0.0); + S164_M_0->SetBinContent(29,0.0); + S164_M_0->SetBinContent(30,0.0); + S164_M_0->SetBinContent(31,0.0); + S164_M_0->SetBinContent(32,0.0); + S164_M_0->SetBinContent(33,0.0); + S164_M_0->SetBinContent(34,0.0); + S164_M_0->SetBinContent(35,0.0); + S164_M_0->SetBinContent(36,0.0); + S164_M_0->SetBinContent(37,0.0); + S164_M_0->SetBinContent(38,0.0); + S164_M_0->SetBinContent(39,0.0); + S164_M_0->SetBinContent(40,0.0); + S164_M_0->SetBinContent(41,0.0); + S164_M_0->SetBinContent(42,0.0); + S164_M_0->SetBinContent(43,0.0); + S164_M_0->SetBinContent(44,0.0); + S164_M_0->SetBinContent(45,0.0); + S164_M_0->SetBinContent(46,0.0); + S164_M_0->SetBinContent(47,0.0); + S164_M_0->SetBinContent(48,0.0); + S164_M_0->SetBinContent(49,0.0); + S164_M_0->SetBinContent(50,0.0); + S164_M_0->SetBinContent(51,0.0); // overflow + S164_M_0->SetEntries(0); + // Style + S164_M_0->SetLineColor(9); + S164_M_0->SetLineStyle(1); + S164_M_0->SetLineWidth(1); + S164_M_0->SetFillColor(9); + S164_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_328","mystack"); + stack->Add(S164_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e mu pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ e mu ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_163.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_163.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_163.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_163.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_163.py new file mode 100644 index 00000000..dc3ac7ab --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_163.py @@ -0,0 +1,62 @@ +def selection_163(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y164_M_0 + y164_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y164_M_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ e mu ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ e mu\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y164_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y164_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_163.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_163.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_163.eps') + +# Running! +if __name__ == '__main__': + selection_163() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_164.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_164.C new file mode 100644 index 00000000..d2bc51c1 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_164.C @@ -0,0 +1,117 @@ +void selection_164() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo329","canvas_plotflow_tempo329",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S165_M_0 = new TH1F("S165_M_0","S165_M_0",50,0.0,2000.0); + // Content + S165_M_0->SetBinContent(0,0.0); // underflow + S165_M_0->SetBinContent(1,2.070009); + S165_M_0->SetBinContent(2,4.881514); + S165_M_0->SetBinContent(3,3.861957); + S165_M_0->SetBinContent(4,2.239935); + S165_M_0->SetBinContent(5,1.004109); + S165_M_0->SetBinContent(6,0.6179132); + S165_M_0->SetBinContent(7,0.3861957); + S165_M_0->SetBinContent(8,0.2471653); + S165_M_0->SetBinContent(9,0.185374); + S165_M_0->SetBinContent(10,0.03089566); + S165_M_0->SetBinContent(11,0.06179132); + S165_M_0->SetBinContent(12,0.01544783); + S165_M_0->SetBinContent(13,0.0); + S165_M_0->SetBinContent(14,0.01544783); + S165_M_0->SetBinContent(15,0.01544783); + S165_M_0->SetBinContent(16,0.0); + S165_M_0->SetBinContent(17,0.0); + S165_M_0->SetBinContent(18,0.0); + S165_M_0->SetBinContent(19,0.0); + S165_M_0->SetBinContent(20,0.0); + S165_M_0->SetBinContent(21,0.0); + S165_M_0->SetBinContent(22,0.0); + S165_M_0->SetBinContent(23,0.0); + S165_M_0->SetBinContent(24,0.0); + S165_M_0->SetBinContent(25,0.0); + S165_M_0->SetBinContent(26,0.0); + S165_M_0->SetBinContent(27,0.0); + S165_M_0->SetBinContent(28,0.0); + S165_M_0->SetBinContent(29,0.0); + S165_M_0->SetBinContent(30,0.0); + S165_M_0->SetBinContent(31,0.0); + S165_M_0->SetBinContent(32,0.0); + S165_M_0->SetBinContent(33,0.0); + S165_M_0->SetBinContent(34,0.0); + S165_M_0->SetBinContent(35,0.0); + S165_M_0->SetBinContent(36,0.0); + S165_M_0->SetBinContent(37,0.0); + S165_M_0->SetBinContent(38,0.0); + S165_M_0->SetBinContent(39,0.0); + S165_M_0->SetBinContent(40,0.0); + S165_M_0->SetBinContent(41,0.0); + S165_M_0->SetBinContent(42,0.0); + S165_M_0->SetBinContent(43,0.0); + S165_M_0->SetBinContent(44,0.0); + S165_M_0->SetBinContent(45,0.0); + S165_M_0->SetBinContent(46,0.0); + S165_M_0->SetBinContent(47,0.0); + S165_M_0->SetBinContent(48,0.0); + S165_M_0->SetBinContent(49,0.0); + S165_M_0->SetBinContent(50,0.0); + S165_M_0->SetBinContent(51,0.0); // overflow + S165_M_0->SetEntries(1012); + // Style + S165_M_0->SetLineColor(9); + S165_M_0->SetLineStyle(1); + S165_M_0->SetLineWidth(1); + S165_M_0->SetFillColor(9); + S165_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_330","mystack"); + stack->Add(S165_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e j pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ e j ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_164.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_164.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_164.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_164.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_164.py new file mode 100644 index 00000000..fcba0f8d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_164.py @@ -0,0 +1,62 @@ +def selection_164(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y165_M_0 + y165_M_0_weights = numpy.array([2.070009,4.881514,3.861957,2.239935,1.004109,0.6179132,0.3861957,0.2471653,0.185374,0.03089566,0.06179132,0.01544783,0.0,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y165_M_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ e j ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ e j\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y165_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y165_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_164.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_164.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_164.eps') + +# Running! +if __name__ == '__main__': + selection_164() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_165.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_165.C new file mode 100644 index 00000000..195c688b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_165.C @@ -0,0 +1,117 @@ +void selection_165() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo331","canvas_plotflow_tempo331",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S166_M_0 = new TH1F("S166_M_0","S166_M_0",50,0.0,2000.0); + // Content + S166_M_0->SetBinContent(0,0.0); // underflow + S166_M_0->SetBinContent(1,2.131801); + S166_M_0->SetBinContent(2,4.649797); + S166_M_0->SetBinContent(3,3.800166); + S166_M_0->SetBinContent(4,2.224487); + S166_M_0->SetBinContent(5,1.204931); + S166_M_0->SetBinContent(6,0.5561219); + S166_M_0->SetBinContent(7,0.3707479); + S166_M_0->SetBinContent(8,0.1699261); + S166_M_0->SetBinContent(9,0.09268698); + S166_M_0->SetBinContent(10,0.03089566); + S166_M_0->SetBinContent(11,0.01544783); + S166_M_0->SetBinContent(12,0.01544783); + S166_M_0->SetBinContent(13,0.0); + S166_M_0->SetBinContent(14,0.0); + S166_M_0->SetBinContent(15,0.0); + S166_M_0->SetBinContent(16,0.0); + S166_M_0->SetBinContent(17,0.0); + S166_M_0->SetBinContent(18,0.0); + S166_M_0->SetBinContent(19,0.0); + S166_M_0->SetBinContent(20,0.0); + S166_M_0->SetBinContent(21,0.0); + S166_M_0->SetBinContent(22,0.0); + S166_M_0->SetBinContent(23,0.0); + S166_M_0->SetBinContent(24,0.0); + S166_M_0->SetBinContent(25,0.0); + S166_M_0->SetBinContent(26,0.0); + S166_M_0->SetBinContent(27,0.0); + S166_M_0->SetBinContent(28,0.0); + S166_M_0->SetBinContent(29,0.0); + S166_M_0->SetBinContent(30,0.0); + S166_M_0->SetBinContent(31,0.0); + S166_M_0->SetBinContent(32,0.0); + S166_M_0->SetBinContent(33,0.0); + S166_M_0->SetBinContent(34,0.0); + S166_M_0->SetBinContent(35,0.0); + S166_M_0->SetBinContent(36,0.0); + S166_M_0->SetBinContent(37,0.0); + S166_M_0->SetBinContent(38,0.0); + S166_M_0->SetBinContent(39,0.0); + S166_M_0->SetBinContent(40,0.0); + S166_M_0->SetBinContent(41,0.0); + S166_M_0->SetBinContent(42,0.0); + S166_M_0->SetBinContent(43,0.0); + S166_M_0->SetBinContent(44,0.0); + S166_M_0->SetBinContent(45,0.0); + S166_M_0->SetBinContent(46,0.0); + S166_M_0->SetBinContent(47,0.0); + S166_M_0->SetBinContent(48,0.0); + S166_M_0->SetBinContent(49,0.0); + S166_M_0->SetBinContent(50,0.0); + S166_M_0->SetBinContent(51,0.0); // overflow + S166_M_0->SetEntries(988); + // Style + S166_M_0->SetLineColor(9); + S166_M_0->SetLineStyle(1); + S166_M_0->SetLineWidth(1); + S166_M_0->SetFillColor(9); + S166_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_332","mystack"); + stack->Add(S166_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of j mu pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ j mu ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_165.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_165.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_165.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_165.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_165.py new file mode 100644 index 00000000..95b547c6 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_165.py @@ -0,0 +1,62 @@ +def selection_165(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y166_M_0 + y166_M_0_weights = numpy.array([2.131801,4.649797,3.800166,2.224487,1.204931,0.5561219,0.3707479,0.1699261,0.09268698,0.03089566,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y166_M_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ j mu ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ j mu\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y166_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y166_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_165.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_165.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_165.eps') + +# Running! +if __name__ == '__main__': + selection_165() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_166.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_166.C new file mode 100644 index 00000000..24ff8427 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_166.C @@ -0,0 +1,117 @@ +void selection_166() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo333","canvas_plotflow_tempo333",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S167_M_0 = new TH1F("S167_M_0","S167_M_0",50,0.0,3000.0); + // Content + S167_M_0->SetBinContent(0,0.0); // underflow + S167_M_0->SetBinContent(1,3.599344); + S167_M_0->SetBinContent(2,14.47462); + S167_M_0->SetBinContent(3,9.222354); + S167_M_0->SetBinContent(4,2.054561); + S167_M_0->SetBinContent(5,0.8341828); + S167_M_0->SetBinContent(6,0.4170914); + S167_M_0->SetBinContent(7,0.185374); + S167_M_0->SetBinContent(8,0.04634349); + S167_M_0->SetBinContent(9,0.04634349); + S167_M_0->SetBinContent(10,0.0); + S167_M_0->SetBinContent(11,0.0); + S167_M_0->SetBinContent(12,0.01544783); + S167_M_0->SetBinContent(13,0.0); + S167_M_0->SetBinContent(14,0.0); + S167_M_0->SetBinContent(15,0.0); + S167_M_0->SetBinContent(16,0.0); + S167_M_0->SetBinContent(17,0.0); + S167_M_0->SetBinContent(18,0.0); + S167_M_0->SetBinContent(19,0.0); + S167_M_0->SetBinContent(20,0.0); + S167_M_0->SetBinContent(21,0.0); + S167_M_0->SetBinContent(22,0.0); + S167_M_0->SetBinContent(23,0.0); + S167_M_0->SetBinContent(24,0.0); + S167_M_0->SetBinContent(25,0.0); + S167_M_0->SetBinContent(26,0.0); + S167_M_0->SetBinContent(27,0.0); + S167_M_0->SetBinContent(28,0.0); + S167_M_0->SetBinContent(29,0.0); + S167_M_0->SetBinContent(30,0.0); + S167_M_0->SetBinContent(31,0.0); + S167_M_0->SetBinContent(32,0.0); + S167_M_0->SetBinContent(33,0.0); + S167_M_0->SetBinContent(34,0.0); + S167_M_0->SetBinContent(35,0.0); + S167_M_0->SetBinContent(36,0.0); + S167_M_0->SetBinContent(37,0.0); + S167_M_0->SetBinContent(38,0.0); + S167_M_0->SetBinContent(39,0.0); + S167_M_0->SetBinContent(40,0.0); + S167_M_0->SetBinContent(41,0.0); + S167_M_0->SetBinContent(42,0.0); + S167_M_0->SetBinContent(43,0.0); + S167_M_0->SetBinContent(44,0.0); + S167_M_0->SetBinContent(45,0.0); + S167_M_0->SetBinContent(46,0.0); + S167_M_0->SetBinContent(47,0.0); + S167_M_0->SetBinContent(48,0.0); + S167_M_0->SetBinContent(49,0.0); + S167_M_0->SetBinContent(50,0.0); + S167_M_0->SetBinContent(51,0.0); // overflow + S167_M_0->SetEntries(2000); + // Style + S167_M_0->SetLineColor(9); + S167_M_0->SetLineStyle(1); + S167_M_0->SetLineWidth(1); + S167_M_0->SetFillColor(9); + S167_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_334","mystack"); + stack->Add(S167_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b j pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ b j ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_166.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_166.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_166.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_166.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_166.py new file mode 100644 index 00000000..f9ec6240 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_166.py @@ -0,0 +1,62 @@ +def selection_166(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) + + # Creating weights for histo: y167_M_0 + y167_M_0_weights = numpy.array([3.599344,14.47462,9.222354,2.054561,0.8341828,0.4170914,0.185374,0.04634349,0.04634349,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y167_M_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ b j ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ b j\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y167_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y167_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_166.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_166.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_166.eps') + +# Running! +if __name__ == '__main__': + selection_166() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_167.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_167.C new file mode 100644 index 00000000..bcd98616 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_167.C @@ -0,0 +1,117 @@ +void selection_167() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo335","canvas_plotflow_tempo335",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S168_PT_0 = new TH1F("S168_PT_0","S168_PT_0",50,0.0,1500.0); + // Content + S168_PT_0->SetBinContent(0,0.0); // underflow + S168_PT_0->SetBinContent(1,0.0); + S168_PT_0->SetBinContent(2,0.0); + S168_PT_0->SetBinContent(3,0.0); + S168_PT_0->SetBinContent(4,0.0); + S168_PT_0->SetBinContent(5,0.0); + S168_PT_0->SetBinContent(6,0.0); + S168_PT_0->SetBinContent(7,0.0); + S168_PT_0->SetBinContent(8,0.0); + S168_PT_0->SetBinContent(9,0.0); + S168_PT_0->SetBinContent(10,0.0); + S168_PT_0->SetBinContent(11,0.0); + S168_PT_0->SetBinContent(12,0.0); + S168_PT_0->SetBinContent(13,0.0); + S168_PT_0->SetBinContent(14,0.0); + S168_PT_0->SetBinContent(15,0.0); + S168_PT_0->SetBinContent(16,0.0); + S168_PT_0->SetBinContent(17,0.0); + S168_PT_0->SetBinContent(18,0.0); + S168_PT_0->SetBinContent(19,0.0); + S168_PT_0->SetBinContent(20,0.0); + S168_PT_0->SetBinContent(21,0.0); + S168_PT_0->SetBinContent(22,0.0); + S168_PT_0->SetBinContent(23,0.0); + S168_PT_0->SetBinContent(24,0.0); + S168_PT_0->SetBinContent(25,0.0); + S168_PT_0->SetBinContent(26,0.0); + S168_PT_0->SetBinContent(27,0.0); + S168_PT_0->SetBinContent(28,0.0); + S168_PT_0->SetBinContent(29,0.0); + S168_PT_0->SetBinContent(30,0.0); + S168_PT_0->SetBinContent(31,0.0); + S168_PT_0->SetBinContent(32,0.0); + S168_PT_0->SetBinContent(33,0.0); + S168_PT_0->SetBinContent(34,0.0); + S168_PT_0->SetBinContent(35,0.0); + S168_PT_0->SetBinContent(36,0.0); + S168_PT_0->SetBinContent(37,0.0); + S168_PT_0->SetBinContent(38,0.0); + S168_PT_0->SetBinContent(39,0.0); + S168_PT_0->SetBinContent(40,0.0); + S168_PT_0->SetBinContent(41,0.0); + S168_PT_0->SetBinContent(42,0.0); + S168_PT_0->SetBinContent(43,0.0); + S168_PT_0->SetBinContent(44,0.0); + S168_PT_0->SetBinContent(45,0.0); + S168_PT_0->SetBinContent(46,0.0); + S168_PT_0->SetBinContent(47,0.0); + S168_PT_0->SetBinContent(48,0.0); + S168_PT_0->SetBinContent(49,0.0); + S168_PT_0->SetBinContent(50,0.0); + S168_PT_0->SetBinContent(51,0.0); // overflow + S168_PT_0->SetEntries(0); + // Style + S168_PT_0->SetLineColor(9); + S168_PT_0->SetLineStyle(1); + S168_PT_0->SetLineWidth(1); + S168_PT_0->SetFillColor(9); + S168_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_336","mystack"); + stack->Add(S168_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e mu pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ e mu ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_167.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_167.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_167.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_167.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_167.py new file mode 100644 index 00000000..84d5211f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_167.py @@ -0,0 +1,62 @@ +def selection_167(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) + + # Creating weights for histo: y168_PT_0 + y168_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y168_PT_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ e mu ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ e mu\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y168_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y168_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_167.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_167.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_167.eps') + +# Running! +if __name__ == '__main__': + selection_167() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_168.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_168.C new file mode 100644 index 00000000..f419ec8a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_168.C @@ -0,0 +1,117 @@ +void selection_168() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo337","canvas_plotflow_tempo337",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S169_PT_0 = new TH1F("S169_PT_0","S169_PT_0",50,0.0,3000.0); + // Content + S169_PT_0->SetBinContent(0,0.0); // underflow + S169_PT_0->SetBinContent(1,10.93706); + S169_PT_0->SetBinContent(2,15.15432); + S169_PT_0->SetBinContent(3,3.815614); + S169_PT_0->SetBinContent(4,0.6488089); + S169_PT_0->SetBinContent(5,0.2317174); + S169_PT_0->SetBinContent(6,0.07723915); + S169_PT_0->SetBinContent(7,0.03089566); + S169_PT_0->SetBinContent(8,0.0); + S169_PT_0->SetBinContent(9,0.0); + S169_PT_0->SetBinContent(10,0.0); + S169_PT_0->SetBinContent(11,0.0); + S169_PT_0->SetBinContent(12,0.0); + S169_PT_0->SetBinContent(13,0.0); + S169_PT_0->SetBinContent(14,0.0); + S169_PT_0->SetBinContent(15,0.0); + S169_PT_0->SetBinContent(16,0.0); + S169_PT_0->SetBinContent(17,0.0); + S169_PT_0->SetBinContent(18,0.0); + S169_PT_0->SetBinContent(19,0.0); + S169_PT_0->SetBinContent(20,0.0); + S169_PT_0->SetBinContent(21,0.0); + S169_PT_0->SetBinContent(22,0.0); + S169_PT_0->SetBinContent(23,0.0); + S169_PT_0->SetBinContent(24,0.0); + S169_PT_0->SetBinContent(25,0.0); + S169_PT_0->SetBinContent(26,0.0); + S169_PT_0->SetBinContent(27,0.0); + S169_PT_0->SetBinContent(28,0.0); + S169_PT_0->SetBinContent(29,0.0); + S169_PT_0->SetBinContent(30,0.0); + S169_PT_0->SetBinContent(31,0.0); + S169_PT_0->SetBinContent(32,0.0); + S169_PT_0->SetBinContent(33,0.0); + S169_PT_0->SetBinContent(34,0.0); + S169_PT_0->SetBinContent(35,0.0); + S169_PT_0->SetBinContent(36,0.0); + S169_PT_0->SetBinContent(37,0.0); + S169_PT_0->SetBinContent(38,0.0); + S169_PT_0->SetBinContent(39,0.0); + S169_PT_0->SetBinContent(40,0.0); + S169_PT_0->SetBinContent(41,0.0); + S169_PT_0->SetBinContent(42,0.0); + S169_PT_0->SetBinContent(43,0.0); + S169_PT_0->SetBinContent(44,0.0); + S169_PT_0->SetBinContent(45,0.0); + S169_PT_0->SetBinContent(46,0.0); + S169_PT_0->SetBinContent(47,0.0); + S169_PT_0->SetBinContent(48,0.0); + S169_PT_0->SetBinContent(49,0.0); + S169_PT_0->SetBinContent(50,0.0); + S169_PT_0->SetBinContent(51,0.0); // overflow + S169_PT_0->SetEntries(2000); + // Style + S169_PT_0->SetLineColor(9); + S169_PT_0->SetLineStyle(1); + S169_PT_0->SetLineWidth(1); + S169_PT_0->SetFillColor(9); + S169_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_338","mystack"); + stack->Add(S169_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b j pairs (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ b j ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_168.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_168.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_168.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_168.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_168.py new file mode 100644 index 00000000..38a8306d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_168.py @@ -0,0 +1,62 @@ +def selection_168(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) + + # Creating weights for histo: y169_PT_0 + y169_PT_0_weights = numpy.array([10.93706,15.15432,3.815614,0.6488089,0.2317174,0.07723915,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y169_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ b j ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ b j\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y169_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y169_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_168.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_168.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_168.eps') + +# Running! +if __name__ == '__main__': + selection_168() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_169.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_169.C new file mode 100644 index 00000000..affd6c15 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_169.C @@ -0,0 +1,117 @@ +void selection_169() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo339","canvas_plotflow_tempo339",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S170_DELTAR_0 = new TH1F("S170_DELTAR_0","S170_DELTAR_0",50,0.0,10.0); + // Content + S170_DELTAR_0->SetBinContent(0,0.0); // underflow + S170_DELTAR_0->SetBinContent(1,0.0); + S170_DELTAR_0->SetBinContent(2,0.0); + S170_DELTAR_0->SetBinContent(3,0.0); + S170_DELTAR_0->SetBinContent(4,0.0); + S170_DELTAR_0->SetBinContent(5,0.0); + S170_DELTAR_0->SetBinContent(6,0.0); + S170_DELTAR_0->SetBinContent(7,0.0); + S170_DELTAR_0->SetBinContent(8,0.0); + S170_DELTAR_0->SetBinContent(9,0.0); + S170_DELTAR_0->SetBinContent(10,0.0); + S170_DELTAR_0->SetBinContent(11,0.0); + S170_DELTAR_0->SetBinContent(12,0.0); + S170_DELTAR_0->SetBinContent(13,0.0); + S170_DELTAR_0->SetBinContent(14,0.0); + S170_DELTAR_0->SetBinContent(15,0.0); + S170_DELTAR_0->SetBinContent(16,0.0); + S170_DELTAR_0->SetBinContent(17,0.0); + S170_DELTAR_0->SetBinContent(18,0.0); + S170_DELTAR_0->SetBinContent(19,0.0); + S170_DELTAR_0->SetBinContent(20,0.0); + S170_DELTAR_0->SetBinContent(21,0.0); + S170_DELTAR_0->SetBinContent(22,0.0); + S170_DELTAR_0->SetBinContent(23,0.0); + S170_DELTAR_0->SetBinContent(24,0.0); + S170_DELTAR_0->SetBinContent(25,0.0); + S170_DELTAR_0->SetBinContent(26,0.0); + S170_DELTAR_0->SetBinContent(27,0.0); + S170_DELTAR_0->SetBinContent(28,0.0); + S170_DELTAR_0->SetBinContent(29,0.0); + S170_DELTAR_0->SetBinContent(30,0.0); + S170_DELTAR_0->SetBinContent(31,0.0); + S170_DELTAR_0->SetBinContent(32,0.0); + S170_DELTAR_0->SetBinContent(33,0.0); + S170_DELTAR_0->SetBinContent(34,0.0); + S170_DELTAR_0->SetBinContent(35,0.0); + S170_DELTAR_0->SetBinContent(36,0.0); + S170_DELTAR_0->SetBinContent(37,0.0); + S170_DELTAR_0->SetBinContent(38,0.0); + S170_DELTAR_0->SetBinContent(39,0.0); + S170_DELTAR_0->SetBinContent(40,0.0); + S170_DELTAR_0->SetBinContent(41,0.0); + S170_DELTAR_0->SetBinContent(42,0.0); + S170_DELTAR_0->SetBinContent(43,0.0); + S170_DELTAR_0->SetBinContent(44,0.0); + S170_DELTAR_0->SetBinContent(45,0.0); + S170_DELTAR_0->SetBinContent(46,0.0); + S170_DELTAR_0->SetBinContent(47,0.0); + S170_DELTAR_0->SetBinContent(48,0.0); + S170_DELTAR_0->SetBinContent(49,0.0); + S170_DELTAR_0->SetBinContent(50,0.0); + S170_DELTAR_0->SetBinContent(51,0.0); // overflow + S170_DELTAR_0->SetEntries(0); + // Style + S170_DELTAR_0->SetLineColor(9); + S170_DELTAR_0->SetLineStyle(1); + S170_DELTAR_0->SetLineWidth(1); + S170_DELTAR_0->SetFillColor(9); + S170_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_340","mystack"); + stack->Add(S170_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ e_{1}, mu_{1} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_169.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_169.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_169.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_169.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_169.py new file mode 100644 index 00000000..b8be258a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_169.py @@ -0,0 +1,62 @@ +def selection_169(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y170_DELTAR_0 + y170_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y170_DELTAR_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ e_{1}, mu_{1} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y170_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y170_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_169.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_169.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_169.eps') + +# Running! +if __name__ == '__main__': + selection_169() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_17.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_17.C new file mode 100644 index 00000000..b2a0628c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_17.C @@ -0,0 +1,117 @@ +void selection_17() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo35","canvas_plotflow_tempo35",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S18_M_0 = new TH1F("S18_M_0","S18_M_0",50,0.0,20.0); + // Content + S18_M_0->SetBinContent(0,4.031884); // underflow + S18_M_0->SetBinContent(1,3.784718); + S18_M_0->SetBinContent(2,0.0); + S18_M_0->SetBinContent(3,0.0); + S18_M_0->SetBinContent(4,0.0); + S18_M_0->SetBinContent(5,0.0); + S18_M_0->SetBinContent(6,0.0); + S18_M_0->SetBinContent(7,0.0); + S18_M_0->SetBinContent(8,0.0); + S18_M_0->SetBinContent(9,0.0); + S18_M_0->SetBinContent(10,0.0); + S18_M_0->SetBinContent(11,0.0); + S18_M_0->SetBinContent(12,0.0); + S18_M_0->SetBinContent(13,0.0); + S18_M_0->SetBinContent(14,0.0); + S18_M_0->SetBinContent(15,0.0); + S18_M_0->SetBinContent(16,0.0); + S18_M_0->SetBinContent(17,0.0); + S18_M_0->SetBinContent(18,0.0); + S18_M_0->SetBinContent(19,0.0); + S18_M_0->SetBinContent(20,0.0); + S18_M_0->SetBinContent(21,0.0); + S18_M_0->SetBinContent(22,0.0); + S18_M_0->SetBinContent(23,0.0); + S18_M_0->SetBinContent(24,0.0); + S18_M_0->SetBinContent(25,0.0); + S18_M_0->SetBinContent(26,0.0); + S18_M_0->SetBinContent(27,0.0); + S18_M_0->SetBinContent(28,0.0); + S18_M_0->SetBinContent(29,0.0); + S18_M_0->SetBinContent(30,0.0); + S18_M_0->SetBinContent(31,0.0); + S18_M_0->SetBinContent(32,0.0); + S18_M_0->SetBinContent(33,0.0); + S18_M_0->SetBinContent(34,0.0); + S18_M_0->SetBinContent(35,0.0); + S18_M_0->SetBinContent(36,0.0); + S18_M_0->SetBinContent(37,0.0); + S18_M_0->SetBinContent(38,0.0); + S18_M_0->SetBinContent(39,0.0); + S18_M_0->SetBinContent(40,0.0); + S18_M_0->SetBinContent(41,0.0); + S18_M_0->SetBinContent(42,0.0); + S18_M_0->SetBinContent(43,0.0); + S18_M_0->SetBinContent(44,0.0); + S18_M_0->SetBinContent(45,0.0); + S18_M_0->SetBinContent(46,0.0); + S18_M_0->SetBinContent(47,0.0); + S18_M_0->SetBinContent(48,0.0); + S18_M_0->SetBinContent(49,0.0); + S18_M_0->SetBinContent(50,0.0); + S18_M_0->SetBinContent(51,0.0); // overflow + S18_M_0->SetEntries(506); + // Style + S18_M_0->SetLineColor(9); + S18_M_0->SetLineStyle(1); + S18_M_0->SetLineWidth(1); + S18_M_0->SetFillColor(9); + S18_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_36","mystack"); + stack->Add(S18_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ e ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_17.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_17.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_17.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_17.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_17.py new file mode 100644 index 00000000..6f7a1d68 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_17.py @@ -0,0 +1,62 @@ +def selection_17(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,20.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.2,0.6000000000000001,1.0,1.4000000000000001,1.8,2.2,2.6,3.0,3.4000000000000004,3.8000000000000003,4.2,4.6000000000000005,5.0,5.4,5.800000000000001,6.2,6.6000000000000005,7.0,7.4,7.800000000000001,8.200000000000001,8.6,9.0,9.4,9.8,10.200000000000001,10.600000000000001,11.0,11.4,11.8,12.200000000000001,12.600000000000001,13.0,13.4,13.8,14.200000000000001,14.600000000000001,15.0,15.4,15.8,16.2,16.6,17.0,17.400000000000002,17.8,18.2,18.6,19.0,19.400000000000002,19.8]) + + # Creating weights for histo: y18_M_0 + y18_M_0_weights = numpy.array([3.784718,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y18_M_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ e ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y18_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y18_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_17.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_17.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_17.eps') + +# Running! +if __name__ == '__main__': + selection_17() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_170.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_170.C new file mode 100644 index 00000000..97de8931 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_170.C @@ -0,0 +1,117 @@ +void selection_170() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo341","canvas_plotflow_tempo341",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S171_DELTAR_0 = new TH1F("S171_DELTAR_0","S171_DELTAR_0",50,0.0,10.0); + // Content + S171_DELTAR_0->SetBinContent(0,0.0); // underflow + S171_DELTAR_0->SetBinContent(1,0.03089566); + S171_DELTAR_0->SetBinContent(2,0.03089566); + S171_DELTAR_0->SetBinContent(3,0.1699261); + S171_DELTAR_0->SetBinContent(4,0.1390305); + S171_DELTAR_0->SetBinContent(5,0.2162696); + S171_DELTAR_0->SetBinContent(6,0.3553001); + S171_DELTAR_0->SetBinContent(7,0.2626131); + S171_DELTAR_0->SetBinContent(8,0.5097784); + S171_DELTAR_0->SetBinContent(9,0.4170914); + S171_DELTAR_0->SetBinContent(10,0.540674); + S171_DELTAR_0->SetBinContent(11,0.540674); + S171_DELTAR_0->SetBinContent(12,0.4170914); + S171_DELTAR_0->SetBinContent(13,0.6024654); + S171_DELTAR_0->SetBinContent(14,0.6642567); + S171_DELTAR_0->SetBinContent(15,1.096796); + S171_DELTAR_0->SetBinContent(16,0.6797045); + S171_DELTAR_0->SetBinContent(17,0.5097784); + S171_DELTAR_0->SetBinContent(18,0.3244044); + S171_DELTAR_0->SetBinContent(19,0.1235826); + S171_DELTAR_0->SetBinContent(20,0.1081348); + S171_DELTAR_0->SetBinContent(21,0.06179132); + S171_DELTAR_0->SetBinContent(22,0.0); + S171_DELTAR_0->SetBinContent(23,0.0); + S171_DELTAR_0->SetBinContent(24,0.01544783); + S171_DELTAR_0->SetBinContent(25,0.0); + S171_DELTAR_0->SetBinContent(26,0.0); + S171_DELTAR_0->SetBinContent(27,0.0); + S171_DELTAR_0->SetBinContent(28,0.0); + S171_DELTAR_0->SetBinContent(29,0.0); + S171_DELTAR_0->SetBinContent(30,0.0); + S171_DELTAR_0->SetBinContent(31,0.0); + S171_DELTAR_0->SetBinContent(32,0.0); + S171_DELTAR_0->SetBinContent(33,0.0); + S171_DELTAR_0->SetBinContent(34,0.0); + S171_DELTAR_0->SetBinContent(35,0.0); + S171_DELTAR_0->SetBinContent(36,0.0); + S171_DELTAR_0->SetBinContent(37,0.0); + S171_DELTAR_0->SetBinContent(38,0.0); + S171_DELTAR_0->SetBinContent(39,0.0); + S171_DELTAR_0->SetBinContent(40,0.0); + S171_DELTAR_0->SetBinContent(41,0.0); + S171_DELTAR_0->SetBinContent(42,0.0); + S171_DELTAR_0->SetBinContent(43,0.0); + S171_DELTAR_0->SetBinContent(44,0.0); + S171_DELTAR_0->SetBinContent(45,0.0); + S171_DELTAR_0->SetBinContent(46,0.0); + S171_DELTAR_0->SetBinContent(47,0.0); + S171_DELTAR_0->SetBinContent(48,0.0); + S171_DELTAR_0->SetBinContent(49,0.0); + S171_DELTAR_0->SetBinContent(50,0.0); + S171_DELTAR_0->SetBinContent(51,0.0); // overflow + S171_DELTAR_0->SetEntries(506); + // Style + S171_DELTAR_0->SetLineColor(9); + S171_DELTAR_0->SetLineStyle(1); + S171_DELTAR_0->SetLineWidth(1); + S171_DELTAR_0->SetFillColor(9); + S171_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_342","mystack"); + stack->Add(S171_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ e_{1}, j_{1} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_170.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_170.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_170.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_170.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_170.py new file mode 100644 index 00000000..e9c32f30 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_170.py @@ -0,0 +1,62 @@ +def selection_170(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y171_DELTAR_0 + y171_DELTAR_0_weights = numpy.array([0.03089566,0.03089566,0.1699261,0.1390305,0.2162696,0.3553001,0.2626131,0.5097784,0.4170914,0.540674,0.540674,0.4170914,0.6024654,0.6642567,1.096796,0.6797045,0.5097784,0.3244044,0.1235826,0.1081348,0.06179132,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y171_DELTAR_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ e_{1}, j_{1} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y171_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y171_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_170.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_170.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_170.eps') + +# Running! +if __name__ == '__main__': + selection_170() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_171.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_171.C new file mode 100644 index 00000000..65e8178c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_171.C @@ -0,0 +1,117 @@ +void selection_171() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo343","canvas_plotflow_tempo343",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S172_DELTAR_0 = new TH1F("S172_DELTAR_0","S172_DELTAR_0",50,0.0,10.0); + // Content + S172_DELTAR_0->SetBinContent(0,0.0); // underflow + S172_DELTAR_0->SetBinContent(1,0.01544783); + S172_DELTAR_0->SetBinContent(2,0.09268698); + S172_DELTAR_0->SetBinContent(3,0.1390305); + S172_DELTAR_0->SetBinContent(4,0.2008218); + S172_DELTAR_0->SetBinContent(5,0.1699261); + S172_DELTAR_0->SetBinContent(6,0.2317174); + S172_DELTAR_0->SetBinContent(7,0.2626131); + S172_DELTAR_0->SetBinContent(8,0.4170914); + S172_DELTAR_0->SetBinContent(9,0.540674); + S172_DELTAR_0->SetBinContent(10,0.4170914); + S172_DELTAR_0->SetBinContent(11,0.5561219); + S172_DELTAR_0->SetBinContent(12,0.6179132); + S172_DELTAR_0->SetBinContent(13,0.6488089); + S172_DELTAR_0->SetBinContent(14,0.7414958); + S172_DELTAR_0->SetBinContent(15,0.9577655); + S172_DELTAR_0->SetBinContent(16,0.6797045); + S172_DELTAR_0->SetBinContent(17,0.3707479); + S172_DELTAR_0->SetBinContent(18,0.3244044); + S172_DELTAR_0->SetBinContent(19,0.1081348); + S172_DELTAR_0->SetBinContent(20,0.07723915); + S172_DELTAR_0->SetBinContent(21,0.04634349); + S172_DELTAR_0->SetBinContent(22,0.01544783); + S172_DELTAR_0->SetBinContent(23,0.0); + S172_DELTAR_0->SetBinContent(24,0.0); + S172_DELTAR_0->SetBinContent(25,0.0); + S172_DELTAR_0->SetBinContent(26,0.0); + S172_DELTAR_0->SetBinContent(27,0.0); + S172_DELTAR_0->SetBinContent(28,0.0); + S172_DELTAR_0->SetBinContent(29,0.0); + S172_DELTAR_0->SetBinContent(30,0.0); + S172_DELTAR_0->SetBinContent(31,0.0); + S172_DELTAR_0->SetBinContent(32,0.0); + S172_DELTAR_0->SetBinContent(33,0.0); + S172_DELTAR_0->SetBinContent(34,0.0); + S172_DELTAR_0->SetBinContent(35,0.0); + S172_DELTAR_0->SetBinContent(36,0.0); + S172_DELTAR_0->SetBinContent(37,0.0); + S172_DELTAR_0->SetBinContent(38,0.0); + S172_DELTAR_0->SetBinContent(39,0.0); + S172_DELTAR_0->SetBinContent(40,0.0); + S172_DELTAR_0->SetBinContent(41,0.0); + S172_DELTAR_0->SetBinContent(42,0.0); + S172_DELTAR_0->SetBinContent(43,0.0); + S172_DELTAR_0->SetBinContent(44,0.0); + S172_DELTAR_0->SetBinContent(45,0.0); + S172_DELTAR_0->SetBinContent(46,0.0); + S172_DELTAR_0->SetBinContent(47,0.0); + S172_DELTAR_0->SetBinContent(48,0.0); + S172_DELTAR_0->SetBinContent(49,0.0); + S172_DELTAR_0->SetBinContent(50,0.0); + S172_DELTAR_0->SetBinContent(51,0.0); // overflow + S172_DELTAR_0->SetEntries(494); + // Style + S172_DELTAR_0->SetLineColor(9); + S172_DELTAR_0->SetLineStyle(1); + S172_DELTAR_0->SetLineWidth(1); + S172_DELTAR_0->SetFillColor(9); + S172_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_344","mystack"); + stack->Add(S172_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ mu_{1}, j_{1} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_171.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_171.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_171.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_171.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_171.py new file mode 100644 index 00000000..a50b57d4 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_171.py @@ -0,0 +1,62 @@ +def selection_171(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y172_DELTAR_0 + y172_DELTAR_0_weights = numpy.array([0.01544783,0.09268698,0.1390305,0.2008218,0.1699261,0.2317174,0.2626131,0.4170914,0.540674,0.4170914,0.5561219,0.6179132,0.6488089,0.7414958,0.9577655,0.6797045,0.3707479,0.3244044,0.1081348,0.07723915,0.04634349,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y172_DELTAR_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ mu_{1}, j_{1} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y172_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y172_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_171.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_171.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_171.eps') + +# Running! +if __name__ == '__main__': + selection_171() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_172.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_172.C new file mode 100644 index 00000000..6e2db93d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_172.C @@ -0,0 +1,117 @@ +void selection_172() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo345","canvas_plotflow_tempo345",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S173_DELTAR_0 = new TH1F("S173_DELTAR_0","S173_DELTAR_0",50,0.0,10.0); + // Content + S173_DELTAR_0->SetBinContent(0,0.0); // underflow + S173_DELTAR_0->SetBinContent(1,0.0); + S173_DELTAR_0->SetBinContent(2,0.0); + S173_DELTAR_0->SetBinContent(3,0.185374); + S173_DELTAR_0->SetBinContent(4,0.3707479); + S173_DELTAR_0->SetBinContent(5,0.6024654); + S173_DELTAR_0->SetBinContent(6,0.8496306); + S173_DELTAR_0->SetBinContent(7,0.4943306); + S173_DELTAR_0->SetBinContent(8,0.9732133); + S173_DELTAR_0->SetBinContent(9,1.158587); + S173_DELTAR_0->SetBinContent(10,1.050452); + S173_DELTAR_0->SetBinContent(11,1.266722); + S173_DELTAR_0->SetBinContent(12,1.251274); + S173_DELTAR_0->SetBinContent(13,1.467544); + S173_DELTAR_0->SetBinContent(14,1.235826); + S173_DELTAR_0->SetBinContent(15,1.544783); + S173_DELTAR_0->SetBinContent(16,1.436648); + S173_DELTAR_0->SetBinContent(17,0.726048); + S173_DELTAR_0->SetBinContent(18,0.3861957); + S173_DELTAR_0->SetBinContent(19,0.2317174); + S173_DELTAR_0->SetBinContent(20,0.09268698); + S173_DELTAR_0->SetBinContent(21,0.03089566); + S173_DELTAR_0->SetBinContent(22,0.03089566); + S173_DELTAR_0->SetBinContent(23,0.04634349); + S173_DELTAR_0->SetBinContent(24,0.01544783); + S173_DELTAR_0->SetBinContent(25,0.0); + S173_DELTAR_0->SetBinContent(26,0.0); + S173_DELTAR_0->SetBinContent(27,0.0); + S173_DELTAR_0->SetBinContent(28,0.0); + S173_DELTAR_0->SetBinContent(29,0.0); + S173_DELTAR_0->SetBinContent(30,0.0); + S173_DELTAR_0->SetBinContent(31,0.0); + S173_DELTAR_0->SetBinContent(32,0.0); + S173_DELTAR_0->SetBinContent(33,0.0); + S173_DELTAR_0->SetBinContent(34,0.0); + S173_DELTAR_0->SetBinContent(35,0.0); + S173_DELTAR_0->SetBinContent(36,0.0); + S173_DELTAR_0->SetBinContent(37,0.0); + S173_DELTAR_0->SetBinContent(38,0.0); + S173_DELTAR_0->SetBinContent(39,0.0); + S173_DELTAR_0->SetBinContent(40,0.0); + S173_DELTAR_0->SetBinContent(41,0.0); + S173_DELTAR_0->SetBinContent(42,0.0); + S173_DELTAR_0->SetBinContent(43,0.0); + S173_DELTAR_0->SetBinContent(44,0.0); + S173_DELTAR_0->SetBinContent(45,0.0); + S173_DELTAR_0->SetBinContent(46,0.0); + S173_DELTAR_0->SetBinContent(47,0.0); + S173_DELTAR_0->SetBinContent(48,0.0); + S173_DELTAR_0->SetBinContent(49,0.0); + S173_DELTAR_0->SetBinContent(50,0.0); + S173_DELTAR_0->SetBinContent(51,0.0); // overflow + S173_DELTAR_0->SetEntries(1000); + // Style + S173_DELTAR_0->SetLineColor(9); + S173_DELTAR_0->SetLineStyle(1); + S173_DELTAR_0->SetLineWidth(1); + S173_DELTAR_0->SetFillColor(9); + S173_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_346","mystack"); + stack->Add(S173_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ b_{1}, j_{1} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_172.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_172.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_172.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_172.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_172.py new file mode 100644 index 00000000..6a855a86 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_172.py @@ -0,0 +1,62 @@ +def selection_172(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y173_DELTAR_0 + y173_DELTAR_0_weights = numpy.array([0.0,0.0,0.185374,0.3707479,0.6024654,0.8496306,0.4943306,0.9732133,1.158587,1.050452,1.266722,1.251274,1.467544,1.235826,1.544783,1.436648,0.726048,0.3861957,0.2317174,0.09268698,0.03089566,0.03089566,0.04634349,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y173_DELTAR_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ b_{1}, j_{1} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y173_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y173_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_172.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_172.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_172.eps') + +# Running! +if __name__ == '__main__': + selection_172() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_173.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_173.C new file mode 100644 index 00000000..02a3c472 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_173.C @@ -0,0 +1,117 @@ +void selection_173() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo347","canvas_plotflow_tempo347",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S174_M_0 = new TH1F("S174_M_0","S174_M_0",50,0.0,1000.0); + // Content + S174_M_0->SetBinContent(0,0.0); // underflow + S174_M_0->SetBinContent(1,0.0); + S174_M_0->SetBinContent(2,0.0); + S174_M_0->SetBinContent(3,0.0); + S174_M_0->SetBinContent(4,0.0); + S174_M_0->SetBinContent(5,0.0); + S174_M_0->SetBinContent(6,0.0); + S174_M_0->SetBinContent(7,0.0); + S174_M_0->SetBinContent(8,0.0); + S174_M_0->SetBinContent(9,0.0); + S174_M_0->SetBinContent(10,0.0); + S174_M_0->SetBinContent(11,0.0); + S174_M_0->SetBinContent(12,0.0); + S174_M_0->SetBinContent(13,0.0); + S174_M_0->SetBinContent(14,0.0); + S174_M_0->SetBinContent(15,0.0); + S174_M_0->SetBinContent(16,0.0); + S174_M_0->SetBinContent(17,0.0); + S174_M_0->SetBinContent(18,0.0); + S174_M_0->SetBinContent(19,0.0); + S174_M_0->SetBinContent(20,0.0); + S174_M_0->SetBinContent(21,0.0); + S174_M_0->SetBinContent(22,0.0); + S174_M_0->SetBinContent(23,0.0); + S174_M_0->SetBinContent(24,0.0); + S174_M_0->SetBinContent(25,0.0); + S174_M_0->SetBinContent(26,0.0); + S174_M_0->SetBinContent(27,0.0); + S174_M_0->SetBinContent(28,0.0); + S174_M_0->SetBinContent(29,0.0); + S174_M_0->SetBinContent(30,0.0); + S174_M_0->SetBinContent(31,0.0); + S174_M_0->SetBinContent(32,0.0); + S174_M_0->SetBinContent(33,0.0); + S174_M_0->SetBinContent(34,0.0); + S174_M_0->SetBinContent(35,0.0); + S174_M_0->SetBinContent(36,0.0); + S174_M_0->SetBinContent(37,0.0); + S174_M_0->SetBinContent(38,0.0); + S174_M_0->SetBinContent(39,0.0); + S174_M_0->SetBinContent(40,0.0); + S174_M_0->SetBinContent(41,0.0); + S174_M_0->SetBinContent(42,0.0); + S174_M_0->SetBinContent(43,0.0); + S174_M_0->SetBinContent(44,0.0); + S174_M_0->SetBinContent(45,0.0); + S174_M_0->SetBinContent(46,0.0); + S174_M_0->SetBinContent(47,0.0); + S174_M_0->SetBinContent(48,0.0); + S174_M_0->SetBinContent(49,0.0); + S174_M_0->SetBinContent(50,0.0); + S174_M_0->SetBinContent(51,0.0); // overflow + S174_M_0->SetEntries(0); + // Style + S174_M_0->SetLineColor(9); + S174_M_0->SetLineStyle(1); + S174_M_0->SetLineWidth(1); + S174_M_0->SetFillColor(9); + S174_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_348","mystack"); + stack->Add(S174_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ e_{1} mu_{1} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_173.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_173.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_173.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_173.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_173.py new file mode 100644 index 00000000..ffedb085 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_173.py @@ -0,0 +1,62 @@ +def selection_173(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y174_M_0 + y174_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y174_M_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ e_{1} mu_{1} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y174_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y174_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_173.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_173.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_173.eps') + +# Running! +if __name__ == '__main__': + selection_173() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_174.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_174.C new file mode 100644 index 00000000..550b3b14 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_174.C @@ -0,0 +1,117 @@ +void selection_174() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo349","canvas_plotflow_tempo349",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S175_M_0 = new TH1F("S175_M_0","S175_M_0",50,0.0,2000.0); + // Content + S175_M_0->SetBinContent(0,0.0); // underflow + S175_M_0->SetBinContent(1,0.7106002); + S175_M_0->SetBinContent(2,2.008218); + S175_M_0->SetBinContent(3,1.946427); + S175_M_0->SetBinContent(4,1.313066); + S175_M_0->SetBinContent(5,0.633361); + S175_M_0->SetBinContent(6,0.4788827); + S175_M_0->SetBinContent(7,0.3244044); + S175_M_0->SetBinContent(8,0.1699261); + S175_M_0->SetBinContent(9,0.1235826); + S175_M_0->SetBinContent(10,0.01544783); + S175_M_0->SetBinContent(11,0.04634349); + S175_M_0->SetBinContent(12,0.01544783); + S175_M_0->SetBinContent(13,0.0); + S175_M_0->SetBinContent(14,0.01544783); + S175_M_0->SetBinContent(15,0.01544783); + S175_M_0->SetBinContent(16,0.0); + S175_M_0->SetBinContent(17,0.0); + S175_M_0->SetBinContent(18,0.0); + S175_M_0->SetBinContent(19,0.0); + S175_M_0->SetBinContent(20,0.0); + S175_M_0->SetBinContent(21,0.0); + S175_M_0->SetBinContent(22,0.0); + S175_M_0->SetBinContent(23,0.0); + S175_M_0->SetBinContent(24,0.0); + S175_M_0->SetBinContent(25,0.0); + S175_M_0->SetBinContent(26,0.0); + S175_M_0->SetBinContent(27,0.0); + S175_M_0->SetBinContent(28,0.0); + S175_M_0->SetBinContent(29,0.0); + S175_M_0->SetBinContent(30,0.0); + S175_M_0->SetBinContent(31,0.0); + S175_M_0->SetBinContent(32,0.0); + S175_M_0->SetBinContent(33,0.0); + S175_M_0->SetBinContent(34,0.0); + S175_M_0->SetBinContent(35,0.0); + S175_M_0->SetBinContent(36,0.0); + S175_M_0->SetBinContent(37,0.0); + S175_M_0->SetBinContent(38,0.0); + S175_M_0->SetBinContent(39,0.0); + S175_M_0->SetBinContent(40,0.0); + S175_M_0->SetBinContent(41,0.0); + S175_M_0->SetBinContent(42,0.0); + S175_M_0->SetBinContent(43,0.0); + S175_M_0->SetBinContent(44,0.0); + S175_M_0->SetBinContent(45,0.0); + S175_M_0->SetBinContent(46,0.0); + S175_M_0->SetBinContent(47,0.0); + S175_M_0->SetBinContent(48,0.0); + S175_M_0->SetBinContent(49,0.0); + S175_M_0->SetBinContent(50,0.0); + S175_M_0->SetBinContent(51,0.0); // overflow + S175_M_0->SetEntries(506); + // Style + S175_M_0->SetLineColor(9); + S175_M_0->SetLineStyle(1); + S175_M_0->SetLineWidth(1); + S175_M_0->SetFillColor(9); + S175_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_350","mystack"); + stack->Add(S175_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ e_{1} j_{1} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_174.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_174.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_174.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_174.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_174.py new file mode 100644 index 00000000..b96cada5 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_174.py @@ -0,0 +1,62 @@ +def selection_174(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y175_M_0 + y175_M_0_weights = numpy.array([0.7106002,2.008218,1.946427,1.313066,0.633361,0.4788827,0.3244044,0.1699261,0.1235826,0.01544783,0.04634349,0.01544783,0.0,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y175_M_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ e_{1} j_{1} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y175_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y175_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_174.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_174.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_174.eps') + +# Running! +if __name__ == '__main__': + selection_174() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_175.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_175.C new file mode 100644 index 00000000..e27a8178 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_175.C @@ -0,0 +1,117 @@ +void selection_175() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo351","canvas_plotflow_tempo351",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S176_M_0 = new TH1F("S176_M_0","S176_M_0",50,0.0,2000.0); + // Content + S176_M_0->SetBinContent(0,0.0); // underflow + S176_M_0->SetBinContent(1,0.6951523); + S176_M_0->SetBinContent(2,1.85374); + S176_M_0->SetBinContent(3,1.961874); + S176_M_0->SetBinContent(4,1.452096); + S176_M_0->SetBinContent(5,0.726048); + S176_M_0->SetBinContent(6,0.4016436); + S176_M_0->SetBinContent(7,0.3089566); + S176_M_0->SetBinContent(8,0.1390305); + S176_M_0->SetBinContent(9,0.04634349); + S176_M_0->SetBinContent(10,0.01544783); + S176_M_0->SetBinContent(11,0.01544783); + S176_M_0->SetBinContent(12,0.01544783); + S176_M_0->SetBinContent(13,0.0); + S176_M_0->SetBinContent(14,0.0); + S176_M_0->SetBinContent(15,0.0); + S176_M_0->SetBinContent(16,0.0); + S176_M_0->SetBinContent(17,0.0); + S176_M_0->SetBinContent(18,0.0); + S176_M_0->SetBinContent(19,0.0); + S176_M_0->SetBinContent(20,0.0); + S176_M_0->SetBinContent(21,0.0); + S176_M_0->SetBinContent(22,0.0); + S176_M_0->SetBinContent(23,0.0); + S176_M_0->SetBinContent(24,0.0); + S176_M_0->SetBinContent(25,0.0); + S176_M_0->SetBinContent(26,0.0); + S176_M_0->SetBinContent(27,0.0); + S176_M_0->SetBinContent(28,0.0); + S176_M_0->SetBinContent(29,0.0); + S176_M_0->SetBinContent(30,0.0); + S176_M_0->SetBinContent(31,0.0); + S176_M_0->SetBinContent(32,0.0); + S176_M_0->SetBinContent(33,0.0); + S176_M_0->SetBinContent(34,0.0); + S176_M_0->SetBinContent(35,0.0); + S176_M_0->SetBinContent(36,0.0); + S176_M_0->SetBinContent(37,0.0); + S176_M_0->SetBinContent(38,0.0); + S176_M_0->SetBinContent(39,0.0); + S176_M_0->SetBinContent(40,0.0); + S176_M_0->SetBinContent(41,0.0); + S176_M_0->SetBinContent(42,0.0); + S176_M_0->SetBinContent(43,0.0); + S176_M_0->SetBinContent(44,0.0); + S176_M_0->SetBinContent(45,0.0); + S176_M_0->SetBinContent(46,0.0); + S176_M_0->SetBinContent(47,0.0); + S176_M_0->SetBinContent(48,0.0); + S176_M_0->SetBinContent(49,0.0); + S176_M_0->SetBinContent(50,0.0); + S176_M_0->SetBinContent(51,0.0); // overflow + S176_M_0->SetEntries(494); + // Style + S176_M_0->SetLineColor(9); + S176_M_0->SetLineStyle(1); + S176_M_0->SetLineWidth(1); + S176_M_0->SetFillColor(9); + S176_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_352","mystack"); + stack->Add(S176_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ j_{1} mu_{1} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_175.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_175.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_175.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_175.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_175.py new file mode 100644 index 00000000..2c651657 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_175.py @@ -0,0 +1,62 @@ +def selection_175(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y176_M_0 + y176_M_0_weights = numpy.array([0.6951523,1.85374,1.961874,1.452096,0.726048,0.4016436,0.3089566,0.1390305,0.04634349,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y176_M_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ j_{1} mu_{1} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y176_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y176_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_175.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_175.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_175.eps') + +# Running! +if __name__ == '__main__': + selection_175() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_176.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_176.C new file mode 100644 index 00000000..671a83d7 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_176.C @@ -0,0 +1,117 @@ +void selection_176() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo353","canvas_plotflow_tempo353",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S177_M_0 = new TH1F("S177_M_0","S177_M_0",50,0.0,3000.0); + // Content + S177_M_0->SetBinContent(0,0.0); // underflow + S177_M_0->SetBinContent(1,0.8650785); + S177_M_0->SetBinContent(2,5.808384); + S177_M_0->SetBinContent(3,6.225475); + S177_M_0->SetBinContent(4,1.482992); + S177_M_0->SetBinContent(5,0.540674); + S177_M_0->SetBinContent(6,0.2935088); + S177_M_0->SetBinContent(7,0.1390305); + S177_M_0->SetBinContent(8,0.03089566); + S177_M_0->SetBinContent(9,0.04634349); + S177_M_0->SetBinContent(10,0.0); + S177_M_0->SetBinContent(11,0.0); + S177_M_0->SetBinContent(12,0.01544783); + S177_M_0->SetBinContent(13,0.0); + S177_M_0->SetBinContent(14,0.0); + S177_M_0->SetBinContent(15,0.0); + S177_M_0->SetBinContent(16,0.0); + S177_M_0->SetBinContent(17,0.0); + S177_M_0->SetBinContent(18,0.0); + S177_M_0->SetBinContent(19,0.0); + S177_M_0->SetBinContent(20,0.0); + S177_M_0->SetBinContent(21,0.0); + S177_M_0->SetBinContent(22,0.0); + S177_M_0->SetBinContent(23,0.0); + S177_M_0->SetBinContent(24,0.0); + S177_M_0->SetBinContent(25,0.0); + S177_M_0->SetBinContent(26,0.0); + S177_M_0->SetBinContent(27,0.0); + S177_M_0->SetBinContent(28,0.0); + S177_M_0->SetBinContent(29,0.0); + S177_M_0->SetBinContent(30,0.0); + S177_M_0->SetBinContent(31,0.0); + S177_M_0->SetBinContent(32,0.0); + S177_M_0->SetBinContent(33,0.0); + S177_M_0->SetBinContent(34,0.0); + S177_M_0->SetBinContent(35,0.0); + S177_M_0->SetBinContent(36,0.0); + S177_M_0->SetBinContent(37,0.0); + S177_M_0->SetBinContent(38,0.0); + S177_M_0->SetBinContent(39,0.0); + S177_M_0->SetBinContent(40,0.0); + S177_M_0->SetBinContent(41,0.0); + S177_M_0->SetBinContent(42,0.0); + S177_M_0->SetBinContent(43,0.0); + S177_M_0->SetBinContent(44,0.0); + S177_M_0->SetBinContent(45,0.0); + S177_M_0->SetBinContent(46,0.0); + S177_M_0->SetBinContent(47,0.0); + S177_M_0->SetBinContent(48,0.0); + S177_M_0->SetBinContent(49,0.0); + S177_M_0->SetBinContent(50,0.0); + S177_M_0->SetBinContent(51,0.0); // overflow + S177_M_0->SetEntries(1000); + // Style + S177_M_0->SetLineColor(9); + S177_M_0->SetLineStyle(1); + S177_M_0->SetLineWidth(1); + S177_M_0->SetFillColor(9); + S177_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_354","mystack"); + stack->Add(S177_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ b_{1} j_{1} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_176.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_176.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_176.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_176.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_176.py new file mode 100644 index 00000000..c18bcd99 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_176.py @@ -0,0 +1,62 @@ +def selection_176(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) + + # Creating weights for histo: y177_M_0 + y177_M_0_weights = numpy.array([0.8650785,5.808384,6.225475,1.482992,0.540674,0.2935088,0.1390305,0.03089566,0.04634349,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y177_M_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ b_{1} j_{1} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y177_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y177_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_176.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_176.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_176.eps') + +# Running! +if __name__ == '__main__': + selection_176() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_177.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_177.C new file mode 100644 index 00000000..82a70733 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_177.C @@ -0,0 +1,117 @@ +void selection_177() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo355","canvas_plotflow_tempo355",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S178_PT_0 = new TH1F("S178_PT_0","S178_PT_0",50,0.0,1500.0); + // Content + S178_PT_0->SetBinContent(0,0.0); // underflow + S178_PT_0->SetBinContent(1,0.0); + S178_PT_0->SetBinContent(2,0.0); + S178_PT_0->SetBinContent(3,0.0); + S178_PT_0->SetBinContent(4,0.0); + S178_PT_0->SetBinContent(5,0.0); + S178_PT_0->SetBinContent(6,0.0); + S178_PT_0->SetBinContent(7,0.0); + S178_PT_0->SetBinContent(8,0.0); + S178_PT_0->SetBinContent(9,0.0); + S178_PT_0->SetBinContent(10,0.0); + S178_PT_0->SetBinContent(11,0.0); + S178_PT_0->SetBinContent(12,0.0); + S178_PT_0->SetBinContent(13,0.0); + S178_PT_0->SetBinContent(14,0.0); + S178_PT_0->SetBinContent(15,0.0); + S178_PT_0->SetBinContent(16,0.0); + S178_PT_0->SetBinContent(17,0.0); + S178_PT_0->SetBinContent(18,0.0); + S178_PT_0->SetBinContent(19,0.0); + S178_PT_0->SetBinContent(20,0.0); + S178_PT_0->SetBinContent(21,0.0); + S178_PT_0->SetBinContent(22,0.0); + S178_PT_0->SetBinContent(23,0.0); + S178_PT_0->SetBinContent(24,0.0); + S178_PT_0->SetBinContent(25,0.0); + S178_PT_0->SetBinContent(26,0.0); + S178_PT_0->SetBinContent(27,0.0); + S178_PT_0->SetBinContent(28,0.0); + S178_PT_0->SetBinContent(29,0.0); + S178_PT_0->SetBinContent(30,0.0); + S178_PT_0->SetBinContent(31,0.0); + S178_PT_0->SetBinContent(32,0.0); + S178_PT_0->SetBinContent(33,0.0); + S178_PT_0->SetBinContent(34,0.0); + S178_PT_0->SetBinContent(35,0.0); + S178_PT_0->SetBinContent(36,0.0); + S178_PT_0->SetBinContent(37,0.0); + S178_PT_0->SetBinContent(38,0.0); + S178_PT_0->SetBinContent(39,0.0); + S178_PT_0->SetBinContent(40,0.0); + S178_PT_0->SetBinContent(41,0.0); + S178_PT_0->SetBinContent(42,0.0); + S178_PT_0->SetBinContent(43,0.0); + S178_PT_0->SetBinContent(44,0.0); + S178_PT_0->SetBinContent(45,0.0); + S178_PT_0->SetBinContent(46,0.0); + S178_PT_0->SetBinContent(47,0.0); + S178_PT_0->SetBinContent(48,0.0); + S178_PT_0->SetBinContent(49,0.0); + S178_PT_0->SetBinContent(50,0.0); + S178_PT_0->SetBinContent(51,0.0); // overflow + S178_PT_0->SetEntries(0); + // Style + S178_PT_0->SetLineColor(9); + S178_PT_0->SetLineStyle(1); + S178_PT_0->SetLineWidth(1); + S178_PT_0->SetFillColor(9); + S178_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_356","mystack"); + stack->Add(S178_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ e_{1} mu_{1} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_177.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_177.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_177.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_177.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_177.py new file mode 100644 index 00000000..7b983c86 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_177.py @@ -0,0 +1,62 @@ +def selection_177(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) + + # Creating weights for histo: y178_PT_0 + y178_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y178_PT_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ e_{1} mu_{1} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y178_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y178_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_177.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_177.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_177.eps') + +# Running! +if __name__ == '__main__': + selection_177() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_178.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_178.C new file mode 100644 index 00000000..71580d92 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_178.C @@ -0,0 +1,117 @@ +void selection_178() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo357","canvas_plotflow_tempo357",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S179_PT_0 = new TH1F("S179_PT_0","S179_PT_0",50,0.0,3000.0); + // Content + S179_PT_0->SetBinContent(0,0.0); // underflow + S179_PT_0->SetBinContent(1,5.082336); + S179_PT_0->SetBinContent(2,7.291376); + S179_PT_0->SetBinContent(3,2.34807); + S179_PT_0->SetBinContent(4,0.4943306); + S179_PT_0->SetBinContent(5,0.1544783); + S179_PT_0->SetBinContent(6,0.04634349); + S179_PT_0->SetBinContent(7,0.03089566); + S179_PT_0->SetBinContent(8,0.0); + S179_PT_0->SetBinContent(9,0.0); + S179_PT_0->SetBinContent(10,0.0); + S179_PT_0->SetBinContent(11,0.0); + S179_PT_0->SetBinContent(12,0.0); + S179_PT_0->SetBinContent(13,0.0); + S179_PT_0->SetBinContent(14,0.0); + S179_PT_0->SetBinContent(15,0.0); + S179_PT_0->SetBinContent(16,0.0); + S179_PT_0->SetBinContent(17,0.0); + S179_PT_0->SetBinContent(18,0.0); + S179_PT_0->SetBinContent(19,0.0); + S179_PT_0->SetBinContent(20,0.0); + S179_PT_0->SetBinContent(21,0.0); + S179_PT_0->SetBinContent(22,0.0); + S179_PT_0->SetBinContent(23,0.0); + S179_PT_0->SetBinContent(24,0.0); + S179_PT_0->SetBinContent(25,0.0); + S179_PT_0->SetBinContent(26,0.0); + S179_PT_0->SetBinContent(27,0.0); + S179_PT_0->SetBinContent(28,0.0); + S179_PT_0->SetBinContent(29,0.0); + S179_PT_0->SetBinContent(30,0.0); + S179_PT_0->SetBinContent(31,0.0); + S179_PT_0->SetBinContent(32,0.0); + S179_PT_0->SetBinContent(33,0.0); + S179_PT_0->SetBinContent(34,0.0); + S179_PT_0->SetBinContent(35,0.0); + S179_PT_0->SetBinContent(36,0.0); + S179_PT_0->SetBinContent(37,0.0); + S179_PT_0->SetBinContent(38,0.0); + S179_PT_0->SetBinContent(39,0.0); + S179_PT_0->SetBinContent(40,0.0); + S179_PT_0->SetBinContent(41,0.0); + S179_PT_0->SetBinContent(42,0.0); + S179_PT_0->SetBinContent(43,0.0); + S179_PT_0->SetBinContent(44,0.0); + S179_PT_0->SetBinContent(45,0.0); + S179_PT_0->SetBinContent(46,0.0); + S179_PT_0->SetBinContent(47,0.0); + S179_PT_0->SetBinContent(48,0.0); + S179_PT_0->SetBinContent(49,0.0); + S179_PT_0->SetBinContent(50,0.0); + S179_PT_0->SetBinContent(51,0.0); // overflow + S179_PT_0->SetEntries(1000); + // Style + S179_PT_0->SetLineColor(9); + S179_PT_0->SetLineStyle(1); + S179_PT_0->SetLineWidth(1); + S179_PT_0->SetFillColor(9); + S179_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_358","mystack"); + stack->Add(S179_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ b_{1} j_{1} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_178.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_178.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_178.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_178.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_178.py new file mode 100644 index 00000000..119e6c5e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_178.py @@ -0,0 +1,62 @@ +def selection_178(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) + + # Creating weights for histo: y179_PT_0 + y179_PT_0_weights = numpy.array([5.082336,7.291376,2.34807,0.4943306,0.1544783,0.04634349,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y179_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ b_{1} j_{1} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y179_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y179_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_178.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_178.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_178.eps') + +# Running! +if __name__ == '__main__': + selection_178() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_18.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_18.C new file mode 100644 index 00000000..9c61ea60 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_18.C @@ -0,0 +1,117 @@ +void selection_18() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo37","canvas_plotflow_tempo37",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S19_MT_0 = new TH1F("S19_MT_0","S19_MT_0",50,0.0,1000.0); + // Content + S19_MT_0->SetBinContent(0,0.0); // underflow + S19_MT_0->SetBinContent(1,7.816602); + S19_MT_0->SetBinContent(2,0.0); + S19_MT_0->SetBinContent(3,0.0); + S19_MT_0->SetBinContent(4,0.0); + S19_MT_0->SetBinContent(5,0.0); + S19_MT_0->SetBinContent(6,0.0); + S19_MT_0->SetBinContent(7,0.0); + S19_MT_0->SetBinContent(8,0.0); + S19_MT_0->SetBinContent(9,0.0); + S19_MT_0->SetBinContent(10,0.0); + S19_MT_0->SetBinContent(11,0.0); + S19_MT_0->SetBinContent(12,0.0); + S19_MT_0->SetBinContent(13,0.0); + S19_MT_0->SetBinContent(14,0.0); + S19_MT_0->SetBinContent(15,0.0); + S19_MT_0->SetBinContent(16,0.0); + S19_MT_0->SetBinContent(17,0.0); + S19_MT_0->SetBinContent(18,0.0); + S19_MT_0->SetBinContent(19,0.0); + S19_MT_0->SetBinContent(20,0.0); + S19_MT_0->SetBinContent(21,0.0); + S19_MT_0->SetBinContent(22,0.0); + S19_MT_0->SetBinContent(23,0.0); + S19_MT_0->SetBinContent(24,0.0); + S19_MT_0->SetBinContent(25,0.0); + S19_MT_0->SetBinContent(26,0.0); + S19_MT_0->SetBinContent(27,0.0); + S19_MT_0->SetBinContent(28,0.0); + S19_MT_0->SetBinContent(29,0.0); + S19_MT_0->SetBinContent(30,0.0); + S19_MT_0->SetBinContent(31,0.0); + S19_MT_0->SetBinContent(32,0.0); + S19_MT_0->SetBinContent(33,0.0); + S19_MT_0->SetBinContent(34,0.0); + S19_MT_0->SetBinContent(35,0.0); + S19_MT_0->SetBinContent(36,0.0); + S19_MT_0->SetBinContent(37,0.0); + S19_MT_0->SetBinContent(38,0.0); + S19_MT_0->SetBinContent(39,0.0); + S19_MT_0->SetBinContent(40,0.0); + S19_MT_0->SetBinContent(41,0.0); + S19_MT_0->SetBinContent(42,0.0); + S19_MT_0->SetBinContent(43,0.0); + S19_MT_0->SetBinContent(44,0.0); + S19_MT_0->SetBinContent(45,0.0); + S19_MT_0->SetBinContent(46,0.0); + S19_MT_0->SetBinContent(47,0.0); + S19_MT_0->SetBinContent(48,0.0); + S19_MT_0->SetBinContent(49,0.0); + S19_MT_0->SetBinContent(50,0.0); + S19_MT_0->SetBinContent(51,0.0); // overflow + S19_MT_0->SetEntries(506); + // Style + S19_MT_0->SetLineColor(9); + S19_MT_0->SetLineStyle(1); + S19_MT_0->SetLineWidth(1); + S19_MT_0->SetFillColor(9); + S19_MT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_38","mystack"); + stack->Add(S19_MT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ e ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_18.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_18.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_18.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_18.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_18.py new file mode 100644 index 00000000..2742ace2 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_18.py @@ -0,0 +1,62 @@ +def selection_18(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y19_MT_0 + y19_MT_0_weights = numpy.array([7.816602,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y19_MT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ e ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y19_MT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y19_MT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_18.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_18.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_18.eps') + +# Running! +if __name__ == '__main__': + selection_18() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_19.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_19.C new file mode 100644 index 00000000..b64c0592 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_19.C @@ -0,0 +1,117 @@ +void selection_19() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo39","canvas_plotflow_tempo39",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S20_MT_MET_0 = new TH1F("S20_MT_MET_0","S20_MT_MET_0",50,0.0,1000.0); + // Content + S20_MT_MET_0->SetBinContent(0,0.0); // underflow + S20_MT_MET_0->SetBinContent(1,0.6179132); + S20_MT_MET_0->SetBinContent(2,0.9886611); + S20_MT_MET_0->SetBinContent(3,1.699261); + S20_MT_MET_0->SetBinContent(4,3.63024); + S20_MT_MET_0->SetBinContent(5,0.8650785); + S20_MT_MET_0->SetBinContent(6,0.01544783); + S20_MT_MET_0->SetBinContent(7,0.0); + S20_MT_MET_0->SetBinContent(8,0.0); + S20_MT_MET_0->SetBinContent(9,0.0); + S20_MT_MET_0->SetBinContent(10,0.0); + S20_MT_MET_0->SetBinContent(11,0.0); + S20_MT_MET_0->SetBinContent(12,0.0); + S20_MT_MET_0->SetBinContent(13,0.0); + S20_MT_MET_0->SetBinContent(14,0.0); + S20_MT_MET_0->SetBinContent(15,0.0); + S20_MT_MET_0->SetBinContent(16,0.0); + S20_MT_MET_0->SetBinContent(17,0.0); + S20_MT_MET_0->SetBinContent(18,0.0); + S20_MT_MET_0->SetBinContent(19,0.0); + S20_MT_MET_0->SetBinContent(20,0.0); + S20_MT_MET_0->SetBinContent(21,0.0); + S20_MT_MET_0->SetBinContent(22,0.0); + S20_MT_MET_0->SetBinContent(23,0.0); + S20_MT_MET_0->SetBinContent(24,0.0); + S20_MT_MET_0->SetBinContent(25,0.0); + S20_MT_MET_0->SetBinContent(26,0.0); + S20_MT_MET_0->SetBinContent(27,0.0); + S20_MT_MET_0->SetBinContent(28,0.0); + S20_MT_MET_0->SetBinContent(29,0.0); + S20_MT_MET_0->SetBinContent(30,0.0); + S20_MT_MET_0->SetBinContent(31,0.0); + S20_MT_MET_0->SetBinContent(32,0.0); + S20_MT_MET_0->SetBinContent(33,0.0); + S20_MT_MET_0->SetBinContent(34,0.0); + S20_MT_MET_0->SetBinContent(35,0.0); + S20_MT_MET_0->SetBinContent(36,0.0); + S20_MT_MET_0->SetBinContent(37,0.0); + S20_MT_MET_0->SetBinContent(38,0.0); + S20_MT_MET_0->SetBinContent(39,0.0); + S20_MT_MET_0->SetBinContent(40,0.0); + S20_MT_MET_0->SetBinContent(41,0.0); + S20_MT_MET_0->SetBinContent(42,0.0); + S20_MT_MET_0->SetBinContent(43,0.0); + S20_MT_MET_0->SetBinContent(44,0.0); + S20_MT_MET_0->SetBinContent(45,0.0); + S20_MT_MET_0->SetBinContent(46,0.0); + S20_MT_MET_0->SetBinContent(47,0.0); + S20_MT_MET_0->SetBinContent(48,0.0); + S20_MT_MET_0->SetBinContent(49,0.0); + S20_MT_MET_0->SetBinContent(50,0.0); + S20_MT_MET_0->SetBinContent(51,0.0); // overflow + S20_MT_MET_0->SetEntries(506); + // Style + S20_MT_MET_0->SetLineColor(9); + S20_MT_MET_0->SetLineStyle(1); + S20_MT_MET_0->SetLineWidth(1); + S20_MT_MET_0->SetFillColor(9); + S20_MT_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_40","mystack"); + stack->Add(S20_MT_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ e ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_19.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_19.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_19.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_19.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_19.py new file mode 100644 index 00000000..62a69782 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_19.py @@ -0,0 +1,62 @@ +def selection_19(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y20_MT_MET_0 + y20_MT_MET_0_weights = numpy.array([0.6179132,0.9886611,1.699261,3.63024,0.8650785,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y20_MT_MET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ e ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y20_MT_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y20_MT_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_19.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_19.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_19.eps') + +# Running! +if __name__ == '__main__': + selection_19() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_2.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_2.C new file mode 100644 index 00000000..b35178b2 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_2.C @@ -0,0 +1,117 @@ +void selection_2() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo5","canvas_plotflow_tempo5",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S3_ALPHA_QCD_0 = new TH1F("S3_ALPHA_QCD_0","S3_ALPHA_QCD_0",50,0.0,0.3); + // Content + S3_ALPHA_QCD_0->SetBinContent(0,0.0); // underflow + S3_ALPHA_QCD_0->SetBinContent(1,0.0); + S3_ALPHA_QCD_0->SetBinContent(2,0.0); + S3_ALPHA_QCD_0->SetBinContent(3,0.0); + S3_ALPHA_QCD_0->SetBinContent(4,0.0); + S3_ALPHA_QCD_0->SetBinContent(5,0.0); + S3_ALPHA_QCD_0->SetBinContent(6,0.0); + S3_ALPHA_QCD_0->SetBinContent(7,0.0); + S3_ALPHA_QCD_0->SetBinContent(8,0.0); + S3_ALPHA_QCD_0->SetBinContent(9,0.0); + S3_ALPHA_QCD_0->SetBinContent(10,0.0); + S3_ALPHA_QCD_0->SetBinContent(11,0.0); + S3_ALPHA_QCD_0->SetBinContent(12,0.0); + S3_ALPHA_QCD_0->SetBinContent(13,0.0); + S3_ALPHA_QCD_0->SetBinContent(14,0.0); + S3_ALPHA_QCD_0->SetBinContent(15,0.0); + S3_ALPHA_QCD_0->SetBinContent(16,0.0); + S3_ALPHA_QCD_0->SetBinContent(17,0.01544783); + S3_ALPHA_QCD_0->SetBinContent(18,0.5097784); + S3_ALPHA_QCD_0->SetBinContent(19,3.738375); + S3_ALPHA_QCD_0->SetBinContent(20,11.18423); + S3_ALPHA_QCD_0->SetBinContent(21,0.0); + S3_ALPHA_QCD_0->SetBinContent(22,0.0); + S3_ALPHA_QCD_0->SetBinContent(23,0.0); + S3_ALPHA_QCD_0->SetBinContent(24,0.0); + S3_ALPHA_QCD_0->SetBinContent(25,0.0); + S3_ALPHA_QCD_0->SetBinContent(26,0.0); + S3_ALPHA_QCD_0->SetBinContent(27,0.0); + S3_ALPHA_QCD_0->SetBinContent(28,0.0); + S3_ALPHA_QCD_0->SetBinContent(29,0.0); + S3_ALPHA_QCD_0->SetBinContent(30,0.0); + S3_ALPHA_QCD_0->SetBinContent(31,0.0); + S3_ALPHA_QCD_0->SetBinContent(32,0.0); + S3_ALPHA_QCD_0->SetBinContent(33,0.0); + S3_ALPHA_QCD_0->SetBinContent(34,0.0); + S3_ALPHA_QCD_0->SetBinContent(35,0.0); + S3_ALPHA_QCD_0->SetBinContent(36,0.0); + S3_ALPHA_QCD_0->SetBinContent(37,0.0); + S3_ALPHA_QCD_0->SetBinContent(38,0.0); + S3_ALPHA_QCD_0->SetBinContent(39,0.0); + S3_ALPHA_QCD_0->SetBinContent(40,0.0); + S3_ALPHA_QCD_0->SetBinContent(41,0.0); + S3_ALPHA_QCD_0->SetBinContent(42,0.0); + S3_ALPHA_QCD_0->SetBinContent(43,0.0); + S3_ALPHA_QCD_0->SetBinContent(44,0.0); + S3_ALPHA_QCD_0->SetBinContent(45,0.0); + S3_ALPHA_QCD_0->SetBinContent(46,0.0); + S3_ALPHA_QCD_0->SetBinContent(47,0.0); + S3_ALPHA_QCD_0->SetBinContent(48,0.0); + S3_ALPHA_QCD_0->SetBinContent(49,0.0); + S3_ALPHA_QCD_0->SetBinContent(50,0.0); + S3_ALPHA_QCD_0->SetBinContent(51,0.0); // overflow + S3_ALPHA_QCD_0->SetEntries(1000); + // Style + S3_ALPHA_QCD_0->SetLineColor(9); + S3_ALPHA_QCD_0->SetLineStyle(1); + S3_ALPHA_QCD_0->SetLineWidth(1); + S3_ALPHA_QCD_0->SetFillColor(9); + S3_ALPHA_QCD_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_6","mystack"); + stack->Add(S3_ALPHA_QCD_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#alpha_{QCD} "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_2.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_2.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_2.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_2.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_2.py new file mode 100644 index 00000000..e943cb43 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_2.py @@ -0,0 +1,62 @@ +def selection_2(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,0.3,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.003,0.009000000000000001,0.015,0.021,0.027,0.033,0.039,0.045,0.051000000000000004,0.057,0.063,0.069,0.075,0.081,0.08700000000000001,0.093,0.099,0.105,0.111,0.117,0.123,0.129,0.135,0.14100000000000001,0.147,0.153,0.159,0.165,0.171,0.177,0.183,0.189,0.195,0.201,0.20700000000000002,0.213,0.219,0.225,0.231,0.23700000000000002,0.243,0.249,0.255,0.261,0.267,0.273,0.279,0.28500000000000003,0.291,0.297]) + + # Creating weights for histo: y3_ALPHA_QCD_0 + y3_ALPHA_QCD_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.5097784,3.738375,11.18423,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y3_ALPHA_QCD_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\alpha_{QCD}$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y3_ALPHA_QCD_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y3_ALPHA_QCD_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_2.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_2.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_2.eps') + +# Running! +if __name__ == '__main__': + selection_2() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_20.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_20.C new file mode 100644 index 00000000..db953030 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_20.C @@ -0,0 +1,117 @@ +void selection_20() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo41","canvas_plotflow_tempo41",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S21_P_0 = new TH1F("S21_P_0","S21_P_0",50,0.0,2000.0); + // Content + S21_P_0->SetBinContent(0,0.0); // underflow + S21_P_0->SetBinContent(1,2.178144); + S21_P_0->SetBinContent(2,2.718818); + S21_P_0->SetBinContent(3,1.220379); + S21_P_0->SetBinContent(4,0.6179132); + S21_P_0->SetBinContent(5,0.4634349); + S21_P_0->SetBinContent(6,0.1544783); + S21_P_0->SetBinContent(7,0.1544783); + S21_P_0->SetBinContent(8,0.1544783); + S21_P_0->SetBinContent(9,0.04634349); + S21_P_0->SetBinContent(10,0.04634349); + S21_P_0->SetBinContent(11,0.01544783); + S21_P_0->SetBinContent(12,0.0); + S21_P_0->SetBinContent(13,0.04634349); + S21_P_0->SetBinContent(14,0.0); + S21_P_0->SetBinContent(15,0.0); + S21_P_0->SetBinContent(16,0.0); + S21_P_0->SetBinContent(17,0.0); + S21_P_0->SetBinContent(18,0.0); + S21_P_0->SetBinContent(19,0.0); + S21_P_0->SetBinContent(20,0.0); + S21_P_0->SetBinContent(21,0.0); + S21_P_0->SetBinContent(22,0.0); + S21_P_0->SetBinContent(23,0.0); + S21_P_0->SetBinContent(24,0.0); + S21_P_0->SetBinContent(25,0.0); + S21_P_0->SetBinContent(26,0.0); + S21_P_0->SetBinContent(27,0.0); + S21_P_0->SetBinContent(28,0.0); + S21_P_0->SetBinContent(29,0.0); + S21_P_0->SetBinContent(30,0.0); + S21_P_0->SetBinContent(31,0.0); + S21_P_0->SetBinContent(32,0.0); + S21_P_0->SetBinContent(33,0.0); + S21_P_0->SetBinContent(34,0.0); + S21_P_0->SetBinContent(35,0.0); + S21_P_0->SetBinContent(36,0.0); + S21_P_0->SetBinContent(37,0.0); + S21_P_0->SetBinContent(38,0.0); + S21_P_0->SetBinContent(39,0.0); + S21_P_0->SetBinContent(40,0.0); + S21_P_0->SetBinContent(41,0.0); + S21_P_0->SetBinContent(42,0.0); + S21_P_0->SetBinContent(43,0.0); + S21_P_0->SetBinContent(44,0.0); + S21_P_0->SetBinContent(45,0.0); + S21_P_0->SetBinContent(46,0.0); + S21_P_0->SetBinContent(47,0.0); + S21_P_0->SetBinContent(48,0.0); + S21_P_0->SetBinContent(49,0.0); + S21_P_0->SetBinContent(50,0.0); + S21_P_0->SetBinContent(51,0.0); // overflow + S21_P_0->SetEntries(506); + // Style + S21_P_0->SetLineColor(9); + S21_P_0->SetLineStyle(1); + S21_P_0->SetLineWidth(1); + S21_P_0->SetFillColor(9); + S21_P_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_42","mystack"); + stack->Add(S21_P_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p [ e ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_20.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_20.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_20.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_20.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_20.py new file mode 100644 index 00000000..94e194dc --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_20.py @@ -0,0 +1,62 @@ +def selection_20(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y21_P_0 + y21_P_0_weights = numpy.array([2.178144,2.718818,1.220379,0.6179132,0.4634349,0.1544783,0.1544783,0.1544783,0.04634349,0.04634349,0.01544783,0.0,0.04634349,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y21_P_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p$ $[ e ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y21_P_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y21_P_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_20.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_20.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_20.eps') + +# Running! +if __name__ == '__main__': + selection_20() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_21.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_21.C new file mode 100644 index 00000000..5be07a53 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_21.C @@ -0,0 +1,117 @@ +void selection_21() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo43","canvas_plotflow_tempo43",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S22_PX_0 = new TH1F("S22_PX_0","S22_PX_0",50,-1000.0,1000.0); + // Content + S22_PX_0->SetBinContent(0,0.0); // underflow + S22_PX_0->SetBinContent(1,0.0); + S22_PX_0->SetBinContent(2,0.0); + S22_PX_0->SetBinContent(3,0.0); + S22_PX_0->SetBinContent(4,0.0); + S22_PX_0->SetBinContent(5,0.0); + S22_PX_0->SetBinContent(6,0.0); + S22_PX_0->SetBinContent(7,0.0); + S22_PX_0->SetBinContent(8,0.0); + S22_PX_0->SetBinContent(9,0.0); + S22_PX_0->SetBinContent(10,0.0); + S22_PX_0->SetBinContent(11,0.0); + S22_PX_0->SetBinContent(12,0.0); + S22_PX_0->SetBinContent(13,0.0); + S22_PX_0->SetBinContent(14,0.0); + S22_PX_0->SetBinContent(15,0.0); + S22_PX_0->SetBinContent(16,0.0); + S22_PX_0->SetBinContent(17,0.0); + S22_PX_0->SetBinContent(18,0.01544783); + S22_PX_0->SetBinContent(19,0.0); + S22_PX_0->SetBinContent(20,0.0); + S22_PX_0->SetBinContent(21,0.0); + S22_PX_0->SetBinContent(22,0.01544783); + S22_PX_0->SetBinContent(23,0.2008218); + S22_PX_0->SetBinContent(24,0.6179132); + S22_PX_0->SetBinContent(25,2.996879); + S22_PX_0->SetBinContent(26,2.888744); + S22_PX_0->SetBinContent(27,0.8341828); + S22_PX_0->SetBinContent(28,0.1235826); + S22_PX_0->SetBinContent(29,0.09268698); + S22_PX_0->SetBinContent(30,0.03089566); + S22_PX_0->SetBinContent(31,0.0); + S22_PX_0->SetBinContent(32,0.0); + S22_PX_0->SetBinContent(33,0.0); + S22_PX_0->SetBinContent(34,0.0); + S22_PX_0->SetBinContent(35,0.0); + S22_PX_0->SetBinContent(36,0.0); + S22_PX_0->SetBinContent(37,0.0); + S22_PX_0->SetBinContent(38,0.0); + S22_PX_0->SetBinContent(39,0.0); + S22_PX_0->SetBinContent(40,0.0); + S22_PX_0->SetBinContent(41,0.0); + S22_PX_0->SetBinContent(42,0.0); + S22_PX_0->SetBinContent(43,0.0); + S22_PX_0->SetBinContent(44,0.0); + S22_PX_0->SetBinContent(45,0.0); + S22_PX_0->SetBinContent(46,0.0); + S22_PX_0->SetBinContent(47,0.0); + S22_PX_0->SetBinContent(48,0.0); + S22_PX_0->SetBinContent(49,0.0); + S22_PX_0->SetBinContent(50,0.0); + S22_PX_0->SetBinContent(51,0.0); // overflow + S22_PX_0->SetEntries(506); + // Style + S22_PX_0->SetLineColor(9); + S22_PX_0->SetLineStyle(1); + S22_PX_0->SetLineWidth(1); + S22_PX_0->SetFillColor(9); + S22_PX_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_44","mystack"); + stack->Add(S22_PX_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{x} [ e ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_21.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_21.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_21.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_21.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_21.py new file mode 100644 index 00000000..dc3d7e60 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_21.py @@ -0,0 +1,62 @@ +def selection_21(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) + + # Creating weights for histo: y22_PX_0 + y22_PX_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.01544783,0.2008218,0.6179132,2.996879,2.888744,0.8341828,0.1235826,0.09268698,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y22_PX_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{x}$ $[ e ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y22_PX_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y22_PX_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_21.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_21.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_21.eps') + +# Running! +if __name__ == '__main__': + selection_21() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_22.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_22.C new file mode 100644 index 00000000..f1fb8ff8 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_22.C @@ -0,0 +1,117 @@ +void selection_22() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo45","canvas_plotflow_tempo45",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S23_PY_0 = new TH1F("S23_PY_0","S23_PY_0",50,-1000.0,1000.0); + // Content + S23_PY_0->SetBinContent(0,0.0); // underflow + S23_PY_0->SetBinContent(1,0.0); + S23_PY_0->SetBinContent(2,0.0); + S23_PY_0->SetBinContent(3,0.0); + S23_PY_0->SetBinContent(4,0.0); + S23_PY_0->SetBinContent(5,0.0); + S23_PY_0->SetBinContent(6,0.0); + S23_PY_0->SetBinContent(7,0.0); + S23_PY_0->SetBinContent(8,0.0); + S23_PY_0->SetBinContent(9,0.0); + S23_PY_0->SetBinContent(10,0.0); + S23_PY_0->SetBinContent(11,0.0); + S23_PY_0->SetBinContent(12,0.0); + S23_PY_0->SetBinContent(13,0.0); + S23_PY_0->SetBinContent(14,0.0); + S23_PY_0->SetBinContent(15,0.0); + S23_PY_0->SetBinContent(16,0.0); + S23_PY_0->SetBinContent(17,0.0); + S23_PY_0->SetBinContent(18,0.0); + S23_PY_0->SetBinContent(19,0.0); + S23_PY_0->SetBinContent(20,0.01544783); + S23_PY_0->SetBinContent(21,0.04634349); + S23_PY_0->SetBinContent(22,0.04634349); + S23_PY_0->SetBinContent(23,0.1235826); + S23_PY_0->SetBinContent(24,0.9423176); + S23_PY_0->SetBinContent(25,2.657027); + S23_PY_0->SetBinContent(26,2.796057); + S23_PY_0->SetBinContent(27,0.911422); + S23_PY_0->SetBinContent(28,0.2008218); + S23_PY_0->SetBinContent(29,0.06179132); + S23_PY_0->SetBinContent(30,0.0); + S23_PY_0->SetBinContent(31,0.0); + S23_PY_0->SetBinContent(32,0.01544783); + S23_PY_0->SetBinContent(33,0.0); + S23_PY_0->SetBinContent(34,0.0); + S23_PY_0->SetBinContent(35,0.0); + S23_PY_0->SetBinContent(36,0.0); + S23_PY_0->SetBinContent(37,0.0); + S23_PY_0->SetBinContent(38,0.0); + S23_PY_0->SetBinContent(39,0.0); + S23_PY_0->SetBinContent(40,0.0); + S23_PY_0->SetBinContent(41,0.0); + S23_PY_0->SetBinContent(42,0.0); + S23_PY_0->SetBinContent(43,0.0); + S23_PY_0->SetBinContent(44,0.0); + S23_PY_0->SetBinContent(45,0.0); + S23_PY_0->SetBinContent(46,0.0); + S23_PY_0->SetBinContent(47,0.0); + S23_PY_0->SetBinContent(48,0.0); + S23_PY_0->SetBinContent(49,0.0); + S23_PY_0->SetBinContent(50,0.0); + S23_PY_0->SetBinContent(51,0.0); // overflow + S23_PY_0->SetEntries(506); + // Style + S23_PY_0->SetLineColor(9); + S23_PY_0->SetLineStyle(1); + S23_PY_0->SetLineWidth(1); + S23_PY_0->SetFillColor(9); + S23_PY_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_46","mystack"); + stack->Add(S23_PY_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{y} [ e ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_22.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_22.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_22.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_22.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_22.py new file mode 100644 index 00000000..8782d87c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_22.py @@ -0,0 +1,62 @@ +def selection_22(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) + + # Creating weights for histo: y23_PY_0 + y23_PY_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.04634349,0.04634349,0.1235826,0.9423176,2.657027,2.796057,0.911422,0.2008218,0.06179132,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y23_PY_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{y}$ $[ e ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y23_PY_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y23_PY_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_22.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_22.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_22.eps') + +# Running! +if __name__ == '__main__': + selection_22() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_23.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_23.C new file mode 100644 index 00000000..73806244 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_23.C @@ -0,0 +1,117 @@ +void selection_23() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo47","canvas_plotflow_tempo47",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S24_PZ_0 = new TH1F("S24_PZ_0","S24_PZ_0",50,-2000.0,2000.0); + // Content + S24_PZ_0->SetBinContent(0,0.0); // underflow + S24_PZ_0->SetBinContent(1,0.0); + S24_PZ_0->SetBinContent(2,0.0); + S24_PZ_0->SetBinContent(3,0.0); + S24_PZ_0->SetBinContent(4,0.0); + S24_PZ_0->SetBinContent(5,0.0); + S24_PZ_0->SetBinContent(6,0.0); + S24_PZ_0->SetBinContent(7,0.0); + S24_PZ_0->SetBinContent(8,0.0); + S24_PZ_0->SetBinContent(9,0.0); + S24_PZ_0->SetBinContent(10,0.0); + S24_PZ_0->SetBinContent(11,0.0); + S24_PZ_0->SetBinContent(12,0.0); + S24_PZ_0->SetBinContent(13,0.0); + S24_PZ_0->SetBinContent(14,0.0); + S24_PZ_0->SetBinContent(15,0.0); + S24_PZ_0->SetBinContent(16,0.0); + S24_PZ_0->SetBinContent(17,0.0); + S24_PZ_0->SetBinContent(18,0.0); + S24_PZ_0->SetBinContent(19,0.01544783); + S24_PZ_0->SetBinContent(20,0.0); + S24_PZ_0->SetBinContent(21,0.06179132); + S24_PZ_0->SetBinContent(22,0.09268698); + S24_PZ_0->SetBinContent(23,0.1699261); + S24_PZ_0->SetBinContent(24,0.4634349); + S24_PZ_0->SetBinContent(25,3.027775); + S24_PZ_0->SetBinContent(26,2.734266); + S24_PZ_0->SetBinContent(27,0.7723915); + S24_PZ_0->SetBinContent(28,0.2780609); + S24_PZ_0->SetBinContent(29,0.1390305); + S24_PZ_0->SetBinContent(30,0.04634349); + S24_PZ_0->SetBinContent(31,0.0); + S24_PZ_0->SetBinContent(32,0.01544783); + S24_PZ_0->SetBinContent(33,0.0); + S24_PZ_0->SetBinContent(34,0.0); + S24_PZ_0->SetBinContent(35,0.0); + S24_PZ_0->SetBinContent(36,0.0); + S24_PZ_0->SetBinContent(37,0.0); + S24_PZ_0->SetBinContent(38,0.0); + S24_PZ_0->SetBinContent(39,0.0); + S24_PZ_0->SetBinContent(40,0.0); + S24_PZ_0->SetBinContent(41,0.0); + S24_PZ_0->SetBinContent(42,0.0); + S24_PZ_0->SetBinContent(43,0.0); + S24_PZ_0->SetBinContent(44,0.0); + S24_PZ_0->SetBinContent(45,0.0); + S24_PZ_0->SetBinContent(46,0.0); + S24_PZ_0->SetBinContent(47,0.0); + S24_PZ_0->SetBinContent(48,0.0); + S24_PZ_0->SetBinContent(49,0.0); + S24_PZ_0->SetBinContent(50,0.0); + S24_PZ_0->SetBinContent(51,0.0); // overflow + S24_PZ_0->SetEntries(506); + // Style + S24_PZ_0->SetLineColor(9); + S24_PZ_0->SetLineStyle(1); + S24_PZ_0->SetLineWidth(1); + S24_PZ_0->SetFillColor(9); + S24_PZ_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_48","mystack"); + stack->Add(S24_PZ_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{z} [ e ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_23.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_23.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_23.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_23.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_23.py new file mode 100644 index 00000000..b51b6d6d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_23.py @@ -0,0 +1,62 @@ +def selection_23(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-2000.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-1960.0,-1880.0,-1800.0,-1720.0,-1640.0,-1560.0,-1480.0,-1400.0,-1320.0,-1240.0,-1160.0,-1080.0,-1000.0,-920.0,-840.0,-760.0,-680.0,-600.0,-520.0,-440.0,-360.0,-280.0,-200.0,-120.0,-40.0,40.0,120.0,200.0,280.0,360.0,440.0,520.0,600.0,680.0,760.0,840.0,920.0,1000.0,1080.0,1160.0,1240.0,1320.0,1400.0,1480.0,1560.0,1640.0,1720.0,1800.0,1880.0,1960.0]) + + # Creating weights for histo: y24_PZ_0 + y24_PZ_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.06179132,0.09268698,0.1699261,0.4634349,3.027775,2.734266,0.7723915,0.2780609,0.1390305,0.04634349,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y24_PZ_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{z}$ $[ e ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y24_PZ_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y24_PZ_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_23.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_23.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_23.eps') + +# Running! +if __name__ == '__main__': + selection_23() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_24.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_24.C new file mode 100644 index 00000000..90f8fcec --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_24.C @@ -0,0 +1,117 @@ +void selection_24() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo49","canvas_plotflow_tempo49",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S25_R_0 = new TH1F("S25_R_0","S25_R_0",50,0.0,10.0); + // Content + S25_R_0->SetBinContent(0,0.0); // underflow + S25_R_0->SetBinContent(1,0.04634349); + S25_R_0->SetBinContent(2,0.1699261); + S25_R_0->SetBinContent(3,0.2935088); + S25_R_0->SetBinContent(4,0.3861957); + S25_R_0->SetBinContent(5,0.3244044); + S25_R_0->SetBinContent(6,0.4170914); + S25_R_0->SetBinContent(7,0.540674); + S25_R_0->SetBinContent(8,0.6642567); + S25_R_0->SetBinContent(9,0.6179132); + S25_R_0->SetBinContent(10,0.5097784); + S25_R_0->SetBinContent(11,0.5870175); + S25_R_0->SetBinContent(12,0.6951523); + S25_R_0->SetBinContent(13,0.5870175); + S25_R_0->SetBinContent(14,0.7106002); + S25_R_0->SetBinContent(15,0.4325392); + S25_R_0->SetBinContent(16,0.4788827); + S25_R_0->SetBinContent(17,0.2317174); + S25_R_0->SetBinContent(18,0.1081348); + S25_R_0->SetBinContent(19,0.01544783); + S25_R_0->SetBinContent(20,0.0); + S25_R_0->SetBinContent(21,0.0); + S25_R_0->SetBinContent(22,0.0); + S25_R_0->SetBinContent(23,0.0); + S25_R_0->SetBinContent(24,0.0); + S25_R_0->SetBinContent(25,0.0); + S25_R_0->SetBinContent(26,0.0); + S25_R_0->SetBinContent(27,0.0); + S25_R_0->SetBinContent(28,0.0); + S25_R_0->SetBinContent(29,0.0); + S25_R_0->SetBinContent(30,0.0); + S25_R_0->SetBinContent(31,0.0); + S25_R_0->SetBinContent(32,0.0); + S25_R_0->SetBinContent(33,0.0); + S25_R_0->SetBinContent(34,0.0); + S25_R_0->SetBinContent(35,0.0); + S25_R_0->SetBinContent(36,0.0); + S25_R_0->SetBinContent(37,0.0); + S25_R_0->SetBinContent(38,0.0); + S25_R_0->SetBinContent(39,0.0); + S25_R_0->SetBinContent(40,0.0); + S25_R_0->SetBinContent(41,0.0); + S25_R_0->SetBinContent(42,0.0); + S25_R_0->SetBinContent(43,0.0); + S25_R_0->SetBinContent(44,0.0); + S25_R_0->SetBinContent(45,0.0); + S25_R_0->SetBinContent(46,0.0); + S25_R_0->SetBinContent(47,0.0); + S25_R_0->SetBinContent(48,0.0); + S25_R_0->SetBinContent(49,0.0); + S25_R_0->SetBinContent(50,0.0); + S25_R_0->SetBinContent(51,0.0); // overflow + S25_R_0->SetEntries(506); + // Style + S25_R_0->SetLineColor(9); + S25_R_0->SetLineStyle(1); + S25_R_0->SetLineWidth(1); + S25_R_0->SetFillColor(9); + S25_R_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_50","mystack"); + stack->Add(S25_R_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("R [ e ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_24.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_24.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_24.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_24.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_24.py new file mode 100644 index 00000000..ce1211f5 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_24.py @@ -0,0 +1,62 @@ +def selection_24(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y25_R_0 + y25_R_0_weights = numpy.array([0.04634349,0.1699261,0.2935088,0.3861957,0.3244044,0.4170914,0.540674,0.6642567,0.6179132,0.5097784,0.5870175,0.6951523,0.5870175,0.7106002,0.4325392,0.4788827,0.2317174,0.1081348,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y25_R_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$R$ $[ e ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y25_R_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y25_R_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_24.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_24.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_24.eps') + +# Running! +if __name__ == '__main__': + selection_24() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_25.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_25.C new file mode 100644 index 00000000..b03e6c5b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_25.C @@ -0,0 +1,117 @@ +void selection_25() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo51","canvas_plotflow_tempo51",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S26_Y_0 = new TH1F("S26_Y_0","S26_Y_0",50,-8.0,8.0); + // Content + S26_Y_0->SetBinContent(0,0.0); // underflow + S26_Y_0->SetBinContent(1,0.0); + S26_Y_0->SetBinContent(2,0.0); + S26_Y_0->SetBinContent(3,0.0); + S26_Y_0->SetBinContent(4,0.0); + S26_Y_0->SetBinContent(5,0.0); + S26_Y_0->SetBinContent(6,0.0); + S26_Y_0->SetBinContent(7,0.0); + S26_Y_0->SetBinContent(8,0.0); + S26_Y_0->SetBinContent(9,0.0); + S26_Y_0->SetBinContent(10,0.0); + S26_Y_0->SetBinContent(11,0.0); + S26_Y_0->SetBinContent(12,0.0); + S26_Y_0->SetBinContent(13,0.0); + S26_Y_0->SetBinContent(14,0.0); + S26_Y_0->SetBinContent(15,0.0); + S26_Y_0->SetBinContent(16,0.0); + S26_Y_0->SetBinContent(17,0.0); + S26_Y_0->SetBinContent(18,0.1544783); + S26_Y_0->SetBinContent(19,0.2317174); + S26_Y_0->SetBinContent(20,0.3861957); + S26_Y_0->SetBinContent(21,0.2626131); + S26_Y_0->SetBinContent(22,0.5561219); + S26_Y_0->SetBinContent(23,0.5097784); + S26_Y_0->SetBinContent(24,0.8650785); + S26_Y_0->SetBinContent(25,0.8650785); + S26_Y_0->SetBinContent(26,0.818735); + S26_Y_0->SetBinContent(27,0.5870175); + S26_Y_0->SetBinContent(28,0.633361); + S26_Y_0->SetBinContent(29,0.6642567); + S26_Y_0->SetBinContent(30,0.5870175); + S26_Y_0->SetBinContent(31,0.3398523); + S26_Y_0->SetBinContent(32,0.2162696); + S26_Y_0->SetBinContent(33,0.1390305); + S26_Y_0->SetBinContent(34,0.0); + S26_Y_0->SetBinContent(35,0.0); + S26_Y_0->SetBinContent(36,0.0); + S26_Y_0->SetBinContent(37,0.0); + S26_Y_0->SetBinContent(38,0.0); + S26_Y_0->SetBinContent(39,0.0); + S26_Y_0->SetBinContent(40,0.0); + S26_Y_0->SetBinContent(41,0.0); + S26_Y_0->SetBinContent(42,0.0); + S26_Y_0->SetBinContent(43,0.0); + S26_Y_0->SetBinContent(44,0.0); + S26_Y_0->SetBinContent(45,0.0); + S26_Y_0->SetBinContent(46,0.0); + S26_Y_0->SetBinContent(47,0.0); + S26_Y_0->SetBinContent(48,0.0); + S26_Y_0->SetBinContent(49,0.0); + S26_Y_0->SetBinContent(50,0.0); + S26_Y_0->SetBinContent(51,0.0); // overflow + S26_Y_0->SetEntries(506); + // Style + S26_Y_0->SetLineColor(9); + S26_Y_0->SetLineStyle(1); + S26_Y_0->SetLineWidth(1); + S26_Y_0->SetFillColor(9); + S26_Y_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_52","mystack"); + stack->Add(S26_Y_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("y [ e ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_25.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_25.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_25.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_25.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_25.py new file mode 100644 index 00000000..f6261786 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_25.py @@ -0,0 +1,62 @@ +def selection_25(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y26_Y_0 + y26_Y_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1544783,0.2317174,0.3861957,0.2626131,0.5561219,0.5097784,0.8650785,0.8650785,0.818735,0.5870175,0.633361,0.6642567,0.5870175,0.3398523,0.2162696,0.1390305,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y26_Y_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$y$ $[ e ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y26_Y_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y26_Y_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_25.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_25.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_25.eps') + +# Running! +if __name__ == '__main__': + selection_25() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_26.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_26.C new file mode 100644 index 00000000..0291de9b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_26.C @@ -0,0 +1,117 @@ +void selection_26() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo53","canvas_plotflow_tempo53",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S27_BETA_0 = new TH1F("S27_BETA_0","S27_BETA_0",50,0.0,1.2); + // Content + S27_BETA_0->SetBinContent(0,0.0); // underflow + S27_BETA_0->SetBinContent(1,0.0); + S27_BETA_0->SetBinContent(2,0.0); + S27_BETA_0->SetBinContent(3,0.0); + S27_BETA_0->SetBinContent(4,0.0); + S27_BETA_0->SetBinContent(5,0.0); + S27_BETA_0->SetBinContent(6,0.0); + S27_BETA_0->SetBinContent(7,0.0); + S27_BETA_0->SetBinContent(8,0.0); + S27_BETA_0->SetBinContent(9,0.0); + S27_BETA_0->SetBinContent(10,0.0); + S27_BETA_0->SetBinContent(11,0.0); + S27_BETA_0->SetBinContent(12,0.0); + S27_BETA_0->SetBinContent(13,0.0); + S27_BETA_0->SetBinContent(14,0.0); + S27_BETA_0->SetBinContent(15,0.0); + S27_BETA_0->SetBinContent(16,0.0); + S27_BETA_0->SetBinContent(17,0.0); + S27_BETA_0->SetBinContent(18,0.0); + S27_BETA_0->SetBinContent(19,0.0); + S27_BETA_0->SetBinContent(20,0.0); + S27_BETA_0->SetBinContent(21,0.0); + S27_BETA_0->SetBinContent(22,0.0); + S27_BETA_0->SetBinContent(23,0.0); + S27_BETA_0->SetBinContent(24,0.0); + S27_BETA_0->SetBinContent(25,0.0); + S27_BETA_0->SetBinContent(26,0.0); + S27_BETA_0->SetBinContent(27,0.0); + S27_BETA_0->SetBinContent(28,0.0); + S27_BETA_0->SetBinContent(29,0.0); + S27_BETA_0->SetBinContent(30,0.0); + S27_BETA_0->SetBinContent(31,0.0); + S27_BETA_0->SetBinContent(32,0.0); + S27_BETA_0->SetBinContent(33,0.0); + S27_BETA_0->SetBinContent(34,0.0); + S27_BETA_0->SetBinContent(35,0.0); + S27_BETA_0->SetBinContent(36,0.0); + S27_BETA_0->SetBinContent(37,0.0); + S27_BETA_0->SetBinContent(38,0.0); + S27_BETA_0->SetBinContent(39,0.0); + S27_BETA_0->SetBinContent(40,0.0); + S27_BETA_0->SetBinContent(41,0.0); + S27_BETA_0->SetBinContent(42,7.816602); + S27_BETA_0->SetBinContent(43,0.0); + S27_BETA_0->SetBinContent(44,0.0); + S27_BETA_0->SetBinContent(45,0.0); + S27_BETA_0->SetBinContent(46,0.0); + S27_BETA_0->SetBinContent(47,0.0); + S27_BETA_0->SetBinContent(48,0.0); + S27_BETA_0->SetBinContent(49,0.0); + S27_BETA_0->SetBinContent(50,0.0); + S27_BETA_0->SetBinContent(51,0.0); // overflow + S27_BETA_0->SetEntries(506); + // Style + S27_BETA_0->SetLineColor(9); + S27_BETA_0->SetLineStyle(1); + S27_BETA_0->SetLineWidth(1); + S27_BETA_0->SetFillColor(9); + S27_BETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_54","mystack"); + stack->Add(S27_BETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#beta [ e ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_26.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_26.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_26.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_26.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_26.py new file mode 100644 index 00000000..750fef7d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_26.py @@ -0,0 +1,62 @@ +def selection_26(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1.2,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.012,0.036000000000000004,0.06,0.084,0.108,0.132,0.156,0.18,0.20400000000000001,0.228,0.252,0.276,0.3,0.324,0.34800000000000003,0.372,0.396,0.42,0.444,0.468,0.492,0.516,0.54,0.5640000000000001,0.588,0.612,0.636,0.66,0.684,0.708,0.732,0.756,0.78,0.804,0.8280000000000001,0.852,0.876,0.9,0.924,0.9480000000000001,0.972,0.996,1.02,1.044,1.068,1.092,1.116,1.1400000000000001,1.164,1.188]) + + # Creating weights for histo: y27_BETA_0 + y27_BETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.816602,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y27_BETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\beta$ $[ e ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y27_BETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y27_BETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_26.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_26.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_26.eps') + +# Running! +if __name__ == '__main__': + selection_26() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_27.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_27.C new file mode 100644 index 00000000..8083f7ee --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_27.C @@ -0,0 +1,117 @@ +void selection_27() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo55","canvas_plotflow_tempo55",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S28_GAMMA_0 = new TH1F("S28_GAMMA_0","S28_GAMMA_0",50,1.0,100.0); + // Content + S28_GAMMA_0->SetBinContent(0,0.0); // underflow + S28_GAMMA_0->SetBinContent(1,4.031884); + S28_GAMMA_0->SetBinContent(2,0.0); + S28_GAMMA_0->SetBinContent(3,0.0); + S28_GAMMA_0->SetBinContent(4,0.0); + S28_GAMMA_0->SetBinContent(5,0.0); + S28_GAMMA_0->SetBinContent(6,0.0); + S28_GAMMA_0->SetBinContent(7,0.0); + S28_GAMMA_0->SetBinContent(8,0.0); + S28_GAMMA_0->SetBinContent(9,0.0); + S28_GAMMA_0->SetBinContent(10,0.0); + S28_GAMMA_0->SetBinContent(11,0.0); + S28_GAMMA_0->SetBinContent(12,0.0); + S28_GAMMA_0->SetBinContent(13,0.0); + S28_GAMMA_0->SetBinContent(14,0.0); + S28_GAMMA_0->SetBinContent(15,0.0); + S28_GAMMA_0->SetBinContent(16,0.0); + S28_GAMMA_0->SetBinContent(17,0.0); + S28_GAMMA_0->SetBinContent(18,0.0); + S28_GAMMA_0->SetBinContent(19,0.0); + S28_GAMMA_0->SetBinContent(20,0.0); + S28_GAMMA_0->SetBinContent(21,0.0); + S28_GAMMA_0->SetBinContent(22,0.0); + S28_GAMMA_0->SetBinContent(23,0.0); + S28_GAMMA_0->SetBinContent(24,0.0); + S28_GAMMA_0->SetBinContent(25,0.0); + S28_GAMMA_0->SetBinContent(26,0.0); + S28_GAMMA_0->SetBinContent(27,0.0); + S28_GAMMA_0->SetBinContent(28,0.0); + S28_GAMMA_0->SetBinContent(29,0.0); + S28_GAMMA_0->SetBinContent(30,0.0); + S28_GAMMA_0->SetBinContent(31,0.0); + S28_GAMMA_0->SetBinContent(32,0.0); + S28_GAMMA_0->SetBinContent(33,0.0); + S28_GAMMA_0->SetBinContent(34,0.0); + S28_GAMMA_0->SetBinContent(35,0.0); + S28_GAMMA_0->SetBinContent(36,0.0); + S28_GAMMA_0->SetBinContent(37,0.0); + S28_GAMMA_0->SetBinContent(38,0.0); + S28_GAMMA_0->SetBinContent(39,0.0); + S28_GAMMA_0->SetBinContent(40,0.0); + S28_GAMMA_0->SetBinContent(41,0.0); + S28_GAMMA_0->SetBinContent(42,0.0); + S28_GAMMA_0->SetBinContent(43,0.0); + S28_GAMMA_0->SetBinContent(44,0.0); + S28_GAMMA_0->SetBinContent(45,0.0); + S28_GAMMA_0->SetBinContent(46,0.0); + S28_GAMMA_0->SetBinContent(47,0.0); + S28_GAMMA_0->SetBinContent(48,0.0); + S28_GAMMA_0->SetBinContent(49,0.0); + S28_GAMMA_0->SetBinContent(50,0.0); + S28_GAMMA_0->SetBinContent(51,3.784718); // overflow + S28_GAMMA_0->SetEntries(506); + // Style + S28_GAMMA_0->SetLineColor(9); + S28_GAMMA_0->SetLineStyle(1); + S28_GAMMA_0->SetLineWidth(1); + S28_GAMMA_0->SetFillColor(9); + S28_GAMMA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_56","mystack"); + stack->Add(S28_GAMMA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of e (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#gamma [ e ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_27.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_27.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_27.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_27.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_27.py new file mode 100644 index 00000000..3f523e25 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_27.py @@ -0,0 +1,62 @@ +def selection_27(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(1.0,100.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([1.99,3.9699999999999998,5.95,7.93,9.91,11.89,13.87,15.85,17.83,19.81,21.79,23.77,25.75,27.73,29.71,31.69,33.67,35.65,37.63,39.61,41.589999999999996,43.57,45.55,47.53,49.51,51.49,53.47,55.45,57.43,59.41,61.39,63.37,65.35,67.33,69.31,71.29,73.27,75.25,77.23,79.21,81.19,83.17,85.15,87.13,89.11,91.09,93.07,95.05,97.03,99.01]) + + # Creating weights for histo: y28_GAMMA_0 + y28_GAMMA_0_weights = numpy.array([4.031884,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y28_GAMMA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\gamma$ $[ e ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y28_GAMMA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y28_GAMMA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_27.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_27.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_27.eps') + +# Running! +if __name__ == '__main__': + selection_27() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_28.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_28.C new file mode 100644 index 00000000..c0602287 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_28.C @@ -0,0 +1,117 @@ +void selection_28() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo57","canvas_plotflow_tempo57",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S29_PT_0 = new TH1F("S29_PT_0","S29_PT_0",50,0.0,1000.0); + // Content + S29_PT_0->SetBinContent(0,0.0); // underflow + S29_PT_0->SetBinContent(1,1.158587); + S29_PT_0->SetBinContent(2,2.657027); + S29_PT_0->SetBinContent(3,1.869187); + S29_PT_0->SetBinContent(4,1.004109); + S29_PT_0->SetBinContent(5,0.5252262); + S29_PT_0->SetBinContent(6,0.2471653); + S29_PT_0->SetBinContent(7,0.1235826); + S29_PT_0->SetBinContent(8,0.06179132); + S29_PT_0->SetBinContent(9,0.04634349); + S29_PT_0->SetBinContent(10,0.07723915); + S29_PT_0->SetBinContent(11,0.0); + S29_PT_0->SetBinContent(12,0.0); + S29_PT_0->SetBinContent(13,0.0); + S29_PT_0->SetBinContent(14,0.01544783); + S29_PT_0->SetBinContent(15,0.01544783); + S29_PT_0->SetBinContent(16,0.0); + S29_PT_0->SetBinContent(17,0.01544783); + S29_PT_0->SetBinContent(18,0.0); + S29_PT_0->SetBinContent(19,0.0); + S29_PT_0->SetBinContent(20,0.0); + S29_PT_0->SetBinContent(21,0.0); + S29_PT_0->SetBinContent(22,0.0); + S29_PT_0->SetBinContent(23,0.0); + S29_PT_0->SetBinContent(24,0.0); + S29_PT_0->SetBinContent(25,0.0); + S29_PT_0->SetBinContent(26,0.0); + S29_PT_0->SetBinContent(27,0.0); + S29_PT_0->SetBinContent(28,0.0); + S29_PT_0->SetBinContent(29,0.0); + S29_PT_0->SetBinContent(30,0.0); + S29_PT_0->SetBinContent(31,0.0); + S29_PT_0->SetBinContent(32,0.0); + S29_PT_0->SetBinContent(33,0.0); + S29_PT_0->SetBinContent(34,0.0); + S29_PT_0->SetBinContent(35,0.0); + S29_PT_0->SetBinContent(36,0.0); + S29_PT_0->SetBinContent(37,0.0); + S29_PT_0->SetBinContent(38,0.0); + S29_PT_0->SetBinContent(39,0.0); + S29_PT_0->SetBinContent(40,0.0); + S29_PT_0->SetBinContent(41,0.0); + S29_PT_0->SetBinContent(42,0.0); + S29_PT_0->SetBinContent(43,0.0); + S29_PT_0->SetBinContent(44,0.0); + S29_PT_0->SetBinContent(45,0.0); + S29_PT_0->SetBinContent(46,0.0); + S29_PT_0->SetBinContent(47,0.0); + S29_PT_0->SetBinContent(48,0.0); + S29_PT_0->SetBinContent(49,0.0); + S29_PT_0->SetBinContent(50,0.0); + S29_PT_0->SetBinContent(51,0.0); // overflow + S29_PT_0->SetEntries(506); + // Style + S29_PT_0->SetLineColor(9); + S29_PT_0->SetLineStyle(1); + S29_PT_0->SetLineWidth(1); + S29_PT_0->SetFillColor(9); + S29_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_58","mystack"); + stack->Add(S29_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ e_{1} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_28.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_28.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_28.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_28.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_28.py new file mode 100644 index 00000000..4ab9f78e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_28.py @@ -0,0 +1,62 @@ +def selection_28(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y29_PT_0 + y29_PT_0_weights = numpy.array([1.158587,2.657027,1.869187,1.004109,0.5252262,0.2471653,0.1235826,0.06179132,0.04634349,0.07723915,0.0,0.0,0.0,0.01544783,0.01544783,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y29_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ e_{1} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y29_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y29_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_28.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_28.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_28.eps') + +# Running! +if __name__ == '__main__': + selection_28() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_29.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_29.C new file mode 100644 index 00000000..8de3da6d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_29.C @@ -0,0 +1,117 @@ +void selection_29() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo59","canvas_plotflow_tempo59",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S30_ETA_0 = new TH1F("S30_ETA_0","S30_ETA_0",50,-8.0,8.0); + // Content + S30_ETA_0->SetBinContent(0,0.0); // underflow + S30_ETA_0->SetBinContent(1,0.0); + S30_ETA_0->SetBinContent(2,0.0); + S30_ETA_0->SetBinContent(3,0.0); + S30_ETA_0->SetBinContent(4,0.0); + S30_ETA_0->SetBinContent(5,0.0); + S30_ETA_0->SetBinContent(6,0.0); + S30_ETA_0->SetBinContent(7,0.0); + S30_ETA_0->SetBinContent(8,0.0); + S30_ETA_0->SetBinContent(9,0.0); + S30_ETA_0->SetBinContent(10,0.0); + S30_ETA_0->SetBinContent(11,0.0); + S30_ETA_0->SetBinContent(12,0.0); + S30_ETA_0->SetBinContent(13,0.0); + S30_ETA_0->SetBinContent(14,0.0); + S30_ETA_0->SetBinContent(15,0.0); + S30_ETA_0->SetBinContent(16,0.0); + S30_ETA_0->SetBinContent(17,0.0); + S30_ETA_0->SetBinContent(18,0.1544783); + S30_ETA_0->SetBinContent(19,0.2317174); + S30_ETA_0->SetBinContent(20,0.3861957); + S30_ETA_0->SetBinContent(21,0.2626131); + S30_ETA_0->SetBinContent(22,0.5561219); + S30_ETA_0->SetBinContent(23,0.5097784); + S30_ETA_0->SetBinContent(24,0.8650785); + S30_ETA_0->SetBinContent(25,0.8650785); + S30_ETA_0->SetBinContent(26,0.818735); + S30_ETA_0->SetBinContent(27,0.5870175); + S30_ETA_0->SetBinContent(28,0.633361); + S30_ETA_0->SetBinContent(29,0.6642567); + S30_ETA_0->SetBinContent(30,0.5870175); + S30_ETA_0->SetBinContent(31,0.3398523); + S30_ETA_0->SetBinContent(32,0.2162696); + S30_ETA_0->SetBinContent(33,0.1390305); + S30_ETA_0->SetBinContent(34,0.0); + S30_ETA_0->SetBinContent(35,0.0); + S30_ETA_0->SetBinContent(36,0.0); + S30_ETA_0->SetBinContent(37,0.0); + S30_ETA_0->SetBinContent(38,0.0); + S30_ETA_0->SetBinContent(39,0.0); + S30_ETA_0->SetBinContent(40,0.0); + S30_ETA_0->SetBinContent(41,0.0); + S30_ETA_0->SetBinContent(42,0.0); + S30_ETA_0->SetBinContent(43,0.0); + S30_ETA_0->SetBinContent(44,0.0); + S30_ETA_0->SetBinContent(45,0.0); + S30_ETA_0->SetBinContent(46,0.0); + S30_ETA_0->SetBinContent(47,0.0); + S30_ETA_0->SetBinContent(48,0.0); + S30_ETA_0->SetBinContent(49,0.0); + S30_ETA_0->SetBinContent(50,0.0); + S30_ETA_0->SetBinContent(51,0.0); // overflow + S30_ETA_0->SetEntries(506); + // Style + S30_ETA_0->SetLineColor(9); + S30_ETA_0->SetLineStyle(1); + S30_ETA_0->SetLineWidth(1); + S30_ETA_0->SetFillColor(9); + S30_ETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_60","mystack"); + stack->Add(S30_ETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#eta [ e_{1} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_29.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_29.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_29.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_29.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_29.py new file mode 100644 index 00000000..7e35f552 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_29.py @@ -0,0 +1,62 @@ +def selection_29(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y30_ETA_0 + y30_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1544783,0.2317174,0.3861957,0.2626131,0.5561219,0.5097784,0.8650785,0.8650785,0.818735,0.5870175,0.633361,0.6642567,0.5870175,0.3398523,0.2162696,0.1390305,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y30_ETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\eta$ $[ e_{1} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y30_ETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y30_ETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_29.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_29.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_29.eps') + +# Running! +if __name__ == '__main__': + selection_29() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_3.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_3.C new file mode 100644 index 00000000..1c7b6740 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_3.C @@ -0,0 +1,117 @@ +void selection_3() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo7","canvas_plotflow_tempo7",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S4_ALPHA_QED_0 = new TH1F("S4_ALPHA_QED_0","S4_ALPHA_QED_0",50,0.0,0.02); + // Content + S4_ALPHA_QED_0->SetBinContent(0,0.0); // underflow + S4_ALPHA_QED_0->SetBinContent(1,0.0); + S4_ALPHA_QED_0->SetBinContent(2,0.0); + S4_ALPHA_QED_0->SetBinContent(3,0.0); + S4_ALPHA_QED_0->SetBinContent(4,0.0); + S4_ALPHA_QED_0->SetBinContent(5,0.0); + S4_ALPHA_QED_0->SetBinContent(6,0.0); + S4_ALPHA_QED_0->SetBinContent(7,0.0); + S4_ALPHA_QED_0->SetBinContent(8,0.0); + S4_ALPHA_QED_0->SetBinContent(9,0.0); + S4_ALPHA_QED_0->SetBinContent(10,0.0); + S4_ALPHA_QED_0->SetBinContent(11,0.0); + S4_ALPHA_QED_0->SetBinContent(12,0.0); + S4_ALPHA_QED_0->SetBinContent(13,0.0); + S4_ALPHA_QED_0->SetBinContent(14,0.0); + S4_ALPHA_QED_0->SetBinContent(15,0.0); + S4_ALPHA_QED_0->SetBinContent(16,0.0); + S4_ALPHA_QED_0->SetBinContent(17,0.0); + S4_ALPHA_QED_0->SetBinContent(18,0.0); + S4_ALPHA_QED_0->SetBinContent(19,0.0); + S4_ALPHA_QED_0->SetBinContent(20,0.0); + S4_ALPHA_QED_0->SetBinContent(21,0.0); + S4_ALPHA_QED_0->SetBinContent(22,0.0); + S4_ALPHA_QED_0->SetBinContent(23,0.0); + S4_ALPHA_QED_0->SetBinContent(24,0.0); + S4_ALPHA_QED_0->SetBinContent(25,0.0); + S4_ALPHA_QED_0->SetBinContent(26,0.0); + S4_ALPHA_QED_0->SetBinContent(27,0.0); + S4_ALPHA_QED_0->SetBinContent(28,0.0); + S4_ALPHA_QED_0->SetBinContent(29,0.0); + S4_ALPHA_QED_0->SetBinContent(30,0.0); + S4_ALPHA_QED_0->SetBinContent(31,0.0); + S4_ALPHA_QED_0->SetBinContent(32,0.0); + S4_ALPHA_QED_0->SetBinContent(33,0.0); + S4_ALPHA_QED_0->SetBinContent(34,0.0); + S4_ALPHA_QED_0->SetBinContent(35,0.0); + S4_ALPHA_QED_0->SetBinContent(36,0.0); + S4_ALPHA_QED_0->SetBinContent(37,0.0); + S4_ALPHA_QED_0->SetBinContent(38,0.0); + S4_ALPHA_QED_0->SetBinContent(39,0.0); + S4_ALPHA_QED_0->SetBinContent(40,0.0); + S4_ALPHA_QED_0->SetBinContent(41,0.0); + S4_ALPHA_QED_0->SetBinContent(42,0.0); + S4_ALPHA_QED_0->SetBinContent(43,0.0); + S4_ALPHA_QED_0->SetBinContent(44,0.0); + S4_ALPHA_QED_0->SetBinContent(45,0.0); + S4_ALPHA_QED_0->SetBinContent(46,0.0); + S4_ALPHA_QED_0->SetBinContent(47,0.0); + S4_ALPHA_QED_0->SetBinContent(48,0.0); + S4_ALPHA_QED_0->SetBinContent(49,0.0); + S4_ALPHA_QED_0->SetBinContent(50,0.0); + S4_ALPHA_QED_0->SetBinContent(51,15.44783); // overflow + S4_ALPHA_QED_0->SetEntries(1000); + // Style + S4_ALPHA_QED_0->SetLineColor(9); + S4_ALPHA_QED_0->SetLineStyle(1); + S4_ALPHA_QED_0->SetLineWidth(1); + S4_ALPHA_QED_0->SetFillColor(9); + S4_ALPHA_QED_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_8","mystack"); + stack->Add(S4_ALPHA_QED_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#alpha_{QED} "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_3.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_3.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_3.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_3.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_3.py new file mode 100644 index 00000000..2ed3c66e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_3.py @@ -0,0 +1,62 @@ +def selection_3(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,0.02,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.0002,0.0006000000000000001,0.001,0.0014,0.0018000000000000002,0.0022,0.0026000000000000003,0.003,0.0034000000000000002,0.0038,0.004200000000000001,0.0046,0.005,0.0054,0.0058000000000000005,0.006200000000000001,0.0066,0.007,0.0074,0.0078000000000000005,0.0082,0.0086,0.009000000000000001,0.0094,0.0098,0.0102,0.0106,0.011000000000000001,0.0114,0.0118,0.0122,0.0126,0.013000000000000001,0.0134,0.013800000000000002,0.0142,0.0146,0.015000000000000001,0.0154,0.0158,0.0162,0.0166,0.017,0.017400000000000002,0.0178,0.0182,0.018600000000000002,0.019,0.0194,0.0198]) + + # Creating weights for histo: y4_ALPHA_QED_0 + y4_ALPHA_QED_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y4_ALPHA_QED_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\alpha_{QED}$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y4_ALPHA_QED_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y4_ALPHA_QED_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_3.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_3.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_3.eps') + +# Running! +if __name__ == '__main__': + selection_3() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_30.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_30.C new file mode 100644 index 00000000..22a5155a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_30.C @@ -0,0 +1,99 @@ +void selection_30() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo61","canvas_plotflow_tempo61",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S31_PHI_0 = new TH1F("S31_PHI_0","S31_PHI_0",32,-3.2,3.2); + // Content + S31_PHI_0->SetBinContent(0,0.0); // underflow + S31_PHI_0->SetBinContent(1,0.185374); + S31_PHI_0->SetBinContent(2,0.1081348); + S31_PHI_0->SetBinContent(3,0.2626131); + S31_PHI_0->SetBinContent(4,0.2317174); + S31_PHI_0->SetBinContent(5,0.185374); + S31_PHI_0->SetBinContent(6,0.1544783); + S31_PHI_0->SetBinContent(7,0.3089566); + S31_PHI_0->SetBinContent(8,0.2935088); + S31_PHI_0->SetBinContent(9,0.4016436); + S31_PHI_0->SetBinContent(10,0.3089566); + S31_PHI_0->SetBinContent(11,0.2162696); + S31_PHI_0->SetBinContent(12,0.3089566); + S31_PHI_0->SetBinContent(13,0.2008218); + S31_PHI_0->SetBinContent(14,0.2008218); + S31_PHI_0->SetBinContent(15,0.2008218); + S31_PHI_0->SetBinContent(16,0.2626131); + S31_PHI_0->SetBinContent(17,0.2935088); + S31_PHI_0->SetBinContent(18,0.3244044); + S31_PHI_0->SetBinContent(19,0.3553001); + S31_PHI_0->SetBinContent(20,0.1699261); + S31_PHI_0->SetBinContent(21,0.1699261); + S31_PHI_0->SetBinContent(22,0.2317174); + S31_PHI_0->SetBinContent(23,0.2162696); + S31_PHI_0->SetBinContent(24,0.2317174); + S31_PHI_0->SetBinContent(25,0.2935088); + S31_PHI_0->SetBinContent(26,0.2317174); + S31_PHI_0->SetBinContent(27,0.3398523); + S31_PHI_0->SetBinContent(28,0.3553001); + S31_PHI_0->SetBinContent(29,0.2471653); + S31_PHI_0->SetBinContent(30,0.2780609); + S31_PHI_0->SetBinContent(31,0.1544783); + S31_PHI_0->SetBinContent(32,0.09268698); + S31_PHI_0->SetBinContent(33,0.0); // overflow + S31_PHI_0->SetEntries(506); + // Style + S31_PHI_0->SetLineColor(9); + S31_PHI_0->SetLineStyle(1); + S31_PHI_0->SetLineWidth(1); + S31_PHI_0->SetFillColor(9); + S31_PHI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_62","mystack"); + stack->Add(S31_PHI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#phi [ e_{1} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_30.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_30.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_30.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_30.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_30.py new file mode 100644 index 00000000..a88da9dd --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_30.py @@ -0,0 +1,62 @@ +def selection_30(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) + + # Creating weights for histo: y31_PHI_0 + y31_PHI_0_weights = numpy.array([0.185374,0.1081348,0.2626131,0.2317174,0.185374,0.1544783,0.3089566,0.2935088,0.4016436,0.3089566,0.2162696,0.3089566,0.2008218,0.2008218,0.2008218,0.2626131,0.2935088,0.3244044,0.3553001,0.1699261,0.1699261,0.2317174,0.2162696,0.2317174,0.2935088,0.2317174,0.3398523,0.3553001,0.2471653,0.2780609,0.1544783,0.09268698]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y31_PHI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\phi$ $[ e_{1} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y31_PHI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y31_PHI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_30.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_30.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_30.eps') + +# Running! +if __name__ == '__main__': + selection_30() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_31.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_31.C new file mode 100644 index 00000000..62e3a6fb --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_31.C @@ -0,0 +1,117 @@ +void selection_31() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo63","canvas_plotflow_tempo63",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S32_E_0 = new TH1F("S32_E_0","S32_E_0",50,0.0,2000.0); + // Content + S32_E_0->SetBinContent(0,0.0); // underflow + S32_E_0->SetBinContent(1,2.178144); + S32_E_0->SetBinContent(2,2.718818); + S32_E_0->SetBinContent(3,1.220379); + S32_E_0->SetBinContent(4,0.6179132); + S32_E_0->SetBinContent(5,0.4634349); + S32_E_0->SetBinContent(6,0.1544783); + S32_E_0->SetBinContent(7,0.1544783); + S32_E_0->SetBinContent(8,0.1544783); + S32_E_0->SetBinContent(9,0.04634349); + S32_E_0->SetBinContent(10,0.04634349); + S32_E_0->SetBinContent(11,0.01544783); + S32_E_0->SetBinContent(12,0.0); + S32_E_0->SetBinContent(13,0.04634349); + S32_E_0->SetBinContent(14,0.0); + S32_E_0->SetBinContent(15,0.0); + S32_E_0->SetBinContent(16,0.0); + S32_E_0->SetBinContent(17,0.0); + S32_E_0->SetBinContent(18,0.0); + S32_E_0->SetBinContent(19,0.0); + S32_E_0->SetBinContent(20,0.0); + S32_E_0->SetBinContent(21,0.0); + S32_E_0->SetBinContent(22,0.0); + S32_E_0->SetBinContent(23,0.0); + S32_E_0->SetBinContent(24,0.0); + S32_E_0->SetBinContent(25,0.0); + S32_E_0->SetBinContent(26,0.0); + S32_E_0->SetBinContent(27,0.0); + S32_E_0->SetBinContent(28,0.0); + S32_E_0->SetBinContent(29,0.0); + S32_E_0->SetBinContent(30,0.0); + S32_E_0->SetBinContent(31,0.0); + S32_E_0->SetBinContent(32,0.0); + S32_E_0->SetBinContent(33,0.0); + S32_E_0->SetBinContent(34,0.0); + S32_E_0->SetBinContent(35,0.0); + S32_E_0->SetBinContent(36,0.0); + S32_E_0->SetBinContent(37,0.0); + S32_E_0->SetBinContent(38,0.0); + S32_E_0->SetBinContent(39,0.0); + S32_E_0->SetBinContent(40,0.0); + S32_E_0->SetBinContent(41,0.0); + S32_E_0->SetBinContent(42,0.0); + S32_E_0->SetBinContent(43,0.0); + S32_E_0->SetBinContent(44,0.0); + S32_E_0->SetBinContent(45,0.0); + S32_E_0->SetBinContent(46,0.0); + S32_E_0->SetBinContent(47,0.0); + S32_E_0->SetBinContent(48,0.0); + S32_E_0->SetBinContent(49,0.0); + S32_E_0->SetBinContent(50,0.0); + S32_E_0->SetBinContent(51,0.0); // overflow + S32_E_0->SetEntries(506); + // Style + S32_E_0->SetLineColor(9); + S32_E_0->SetLineStyle(1); + S32_E_0->SetLineWidth(1); + S32_E_0->SetFillColor(9); + S32_E_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_64","mystack"); + stack->Add(S32_E_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E [ e_{1} ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_31.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_31.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_31.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_31.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_31.py new file mode 100644 index 00000000..58848bb4 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_31.py @@ -0,0 +1,62 @@ +def selection_31(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y32_E_0 + y32_E_0_weights = numpy.array([2.178144,2.718818,1.220379,0.6179132,0.4634349,0.1544783,0.1544783,0.1544783,0.04634349,0.04634349,0.01544783,0.0,0.04634349,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y32_E_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E$ $[ e_{1} ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y32_E_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y32_E_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_31.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_31.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_31.eps') + +# Running! +if __name__ == '__main__': + selection_31() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_32.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_32.C new file mode 100644 index 00000000..c5d0216a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_32.C @@ -0,0 +1,117 @@ +void selection_32() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo65","canvas_plotflow_tempo65",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S33_MT_MET_0 = new TH1F("S33_MT_MET_0","S33_MT_MET_0",50,0.0,1000.0); + // Content + S33_MT_MET_0->SetBinContent(0,0.0); // underflow + S33_MT_MET_0->SetBinContent(1,0.6179132); + S33_MT_MET_0->SetBinContent(2,0.9886611); + S33_MT_MET_0->SetBinContent(3,1.699261); + S33_MT_MET_0->SetBinContent(4,3.63024); + S33_MT_MET_0->SetBinContent(5,0.8650785); + S33_MT_MET_0->SetBinContent(6,0.01544783); + S33_MT_MET_0->SetBinContent(7,0.0); + S33_MT_MET_0->SetBinContent(8,0.0); + S33_MT_MET_0->SetBinContent(9,0.0); + S33_MT_MET_0->SetBinContent(10,0.0); + S33_MT_MET_0->SetBinContent(11,0.0); + S33_MT_MET_0->SetBinContent(12,0.0); + S33_MT_MET_0->SetBinContent(13,0.0); + S33_MT_MET_0->SetBinContent(14,0.0); + S33_MT_MET_0->SetBinContent(15,0.0); + S33_MT_MET_0->SetBinContent(16,0.0); + S33_MT_MET_0->SetBinContent(17,0.0); + S33_MT_MET_0->SetBinContent(18,0.0); + S33_MT_MET_0->SetBinContent(19,0.0); + S33_MT_MET_0->SetBinContent(20,0.0); + S33_MT_MET_0->SetBinContent(21,0.0); + S33_MT_MET_0->SetBinContent(22,0.0); + S33_MT_MET_0->SetBinContent(23,0.0); + S33_MT_MET_0->SetBinContent(24,0.0); + S33_MT_MET_0->SetBinContent(25,0.0); + S33_MT_MET_0->SetBinContent(26,0.0); + S33_MT_MET_0->SetBinContent(27,0.0); + S33_MT_MET_0->SetBinContent(28,0.0); + S33_MT_MET_0->SetBinContent(29,0.0); + S33_MT_MET_0->SetBinContent(30,0.0); + S33_MT_MET_0->SetBinContent(31,0.0); + S33_MT_MET_0->SetBinContent(32,0.0); + S33_MT_MET_0->SetBinContent(33,0.0); + S33_MT_MET_0->SetBinContent(34,0.0); + S33_MT_MET_0->SetBinContent(35,0.0); + S33_MT_MET_0->SetBinContent(36,0.0); + S33_MT_MET_0->SetBinContent(37,0.0); + S33_MT_MET_0->SetBinContent(38,0.0); + S33_MT_MET_0->SetBinContent(39,0.0); + S33_MT_MET_0->SetBinContent(40,0.0); + S33_MT_MET_0->SetBinContent(41,0.0); + S33_MT_MET_0->SetBinContent(42,0.0); + S33_MT_MET_0->SetBinContent(43,0.0); + S33_MT_MET_0->SetBinContent(44,0.0); + S33_MT_MET_0->SetBinContent(45,0.0); + S33_MT_MET_0->SetBinContent(46,0.0); + S33_MT_MET_0->SetBinContent(47,0.0); + S33_MT_MET_0->SetBinContent(48,0.0); + S33_MT_MET_0->SetBinContent(49,0.0); + S33_MT_MET_0->SetBinContent(50,0.0); + S33_MT_MET_0->SetBinContent(51,0.0); // overflow + S33_MT_MET_0->SetEntries(506); + // Style + S33_MT_MET_0->SetLineColor(9); + S33_MT_MET_0->SetLineStyle(1); + S33_MT_MET_0->SetLineWidth(1); + S33_MT_MET_0->SetFillColor(9); + S33_MT_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_66","mystack"); + stack->Add(S33_MT_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ e_{1} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_32.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_32.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_32.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_32.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_32.py new file mode 100644 index 00000000..2ffbdbfb --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_32.py @@ -0,0 +1,62 @@ +def selection_32(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y33_MT_MET_0 + y33_MT_MET_0_weights = numpy.array([0.6179132,0.9886611,1.699261,3.63024,0.8650785,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y33_MT_MET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ e_{1} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y33_MT_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y33_MT_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_32.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_32.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_32.eps') + +# Running! +if __name__ == '__main__': + selection_32() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_33.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_33.C new file mode 100644 index 00000000..46f1f567 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_33.C @@ -0,0 +1,117 @@ +void selection_33() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo67","canvas_plotflow_tempo67",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S34_PT_0 = new TH1F("S34_PT_0","S34_PT_0",50,0.0,1000.0); + // Content + S34_PT_0->SetBinContent(0,0.0); // underflow + S34_PT_0->SetBinContent(1,0.0); + S34_PT_0->SetBinContent(2,0.0); + S34_PT_0->SetBinContent(3,0.0); + S34_PT_0->SetBinContent(4,0.0); + S34_PT_0->SetBinContent(5,0.0); + S34_PT_0->SetBinContent(6,0.0); + S34_PT_0->SetBinContent(7,0.0); + S34_PT_0->SetBinContent(8,0.0); + S34_PT_0->SetBinContent(9,0.0); + S34_PT_0->SetBinContent(10,0.0); + S34_PT_0->SetBinContent(11,0.0); + S34_PT_0->SetBinContent(12,0.0); + S34_PT_0->SetBinContent(13,0.0); + S34_PT_0->SetBinContent(14,0.0); + S34_PT_0->SetBinContent(15,0.0); + S34_PT_0->SetBinContent(16,0.0); + S34_PT_0->SetBinContent(17,0.0); + S34_PT_0->SetBinContent(18,0.0); + S34_PT_0->SetBinContent(19,0.0); + S34_PT_0->SetBinContent(20,0.0); + S34_PT_0->SetBinContent(21,0.0); + S34_PT_0->SetBinContent(22,0.0); + S34_PT_0->SetBinContent(23,0.0); + S34_PT_0->SetBinContent(24,0.0); + S34_PT_0->SetBinContent(25,0.0); + S34_PT_0->SetBinContent(26,0.0); + S34_PT_0->SetBinContent(27,0.0); + S34_PT_0->SetBinContent(28,0.0); + S34_PT_0->SetBinContent(29,0.0); + S34_PT_0->SetBinContent(30,0.0); + S34_PT_0->SetBinContent(31,0.0); + S34_PT_0->SetBinContent(32,0.0); + S34_PT_0->SetBinContent(33,0.0); + S34_PT_0->SetBinContent(34,0.0); + S34_PT_0->SetBinContent(35,0.0); + S34_PT_0->SetBinContent(36,0.0); + S34_PT_0->SetBinContent(37,0.0); + S34_PT_0->SetBinContent(38,0.0); + S34_PT_0->SetBinContent(39,0.0); + S34_PT_0->SetBinContent(40,0.0); + S34_PT_0->SetBinContent(41,0.0); + S34_PT_0->SetBinContent(42,0.0); + S34_PT_0->SetBinContent(43,0.0); + S34_PT_0->SetBinContent(44,0.0); + S34_PT_0->SetBinContent(45,0.0); + S34_PT_0->SetBinContent(46,0.0); + S34_PT_0->SetBinContent(47,0.0); + S34_PT_0->SetBinContent(48,0.0); + S34_PT_0->SetBinContent(49,0.0); + S34_PT_0->SetBinContent(50,0.0); + S34_PT_0->SetBinContent(51,0.0); // overflow + S34_PT_0->SetEntries(0); + // Style + S34_PT_0->SetLineColor(9); + S34_PT_0->SetLineStyle(1); + S34_PT_0->SetLineWidth(1); + S34_PT_0->SetFillColor(9); + S34_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_68","mystack"); + stack->Add(S34_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ e_{2} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_33.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_33.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_33.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_33.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_33.py new file mode 100644 index 00000000..d3a437c8 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_33.py @@ -0,0 +1,62 @@ +def selection_33(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y34_PT_0 + y34_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y34_PT_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ e_{2} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y34_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y34_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_33.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_33.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_33.eps') + +# Running! +if __name__ == '__main__': + selection_33() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_34.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_34.C new file mode 100644 index 00000000..6aedf59d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_34.C @@ -0,0 +1,117 @@ +void selection_34() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo69","canvas_plotflow_tempo69",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S35_ETA_0 = new TH1F("S35_ETA_0","S35_ETA_0",50,-8.0,8.0); + // Content + S35_ETA_0->SetBinContent(0,0.0); // underflow + S35_ETA_0->SetBinContent(1,0.0); + S35_ETA_0->SetBinContent(2,0.0); + S35_ETA_0->SetBinContent(3,0.0); + S35_ETA_0->SetBinContent(4,0.0); + S35_ETA_0->SetBinContent(5,0.0); + S35_ETA_0->SetBinContent(6,0.0); + S35_ETA_0->SetBinContent(7,0.0); + S35_ETA_0->SetBinContent(8,0.0); + S35_ETA_0->SetBinContent(9,0.0); + S35_ETA_0->SetBinContent(10,0.0); + S35_ETA_0->SetBinContent(11,0.0); + S35_ETA_0->SetBinContent(12,0.0); + S35_ETA_0->SetBinContent(13,0.0); + S35_ETA_0->SetBinContent(14,0.0); + S35_ETA_0->SetBinContent(15,0.0); + S35_ETA_0->SetBinContent(16,0.0); + S35_ETA_0->SetBinContent(17,0.0); + S35_ETA_0->SetBinContent(18,0.0); + S35_ETA_0->SetBinContent(19,0.0); + S35_ETA_0->SetBinContent(20,0.0); + S35_ETA_0->SetBinContent(21,0.0); + S35_ETA_0->SetBinContent(22,0.0); + S35_ETA_0->SetBinContent(23,0.0); + S35_ETA_0->SetBinContent(24,0.0); + S35_ETA_0->SetBinContent(25,0.0); + S35_ETA_0->SetBinContent(26,0.0); + S35_ETA_0->SetBinContent(27,0.0); + S35_ETA_0->SetBinContent(28,0.0); + S35_ETA_0->SetBinContent(29,0.0); + S35_ETA_0->SetBinContent(30,0.0); + S35_ETA_0->SetBinContent(31,0.0); + S35_ETA_0->SetBinContent(32,0.0); + S35_ETA_0->SetBinContent(33,0.0); + S35_ETA_0->SetBinContent(34,0.0); + S35_ETA_0->SetBinContent(35,0.0); + S35_ETA_0->SetBinContent(36,0.0); + S35_ETA_0->SetBinContent(37,0.0); + S35_ETA_0->SetBinContent(38,0.0); + S35_ETA_0->SetBinContent(39,0.0); + S35_ETA_0->SetBinContent(40,0.0); + S35_ETA_0->SetBinContent(41,0.0); + S35_ETA_0->SetBinContent(42,0.0); + S35_ETA_0->SetBinContent(43,0.0); + S35_ETA_0->SetBinContent(44,0.0); + S35_ETA_0->SetBinContent(45,0.0); + S35_ETA_0->SetBinContent(46,0.0); + S35_ETA_0->SetBinContent(47,0.0); + S35_ETA_0->SetBinContent(48,0.0); + S35_ETA_0->SetBinContent(49,0.0); + S35_ETA_0->SetBinContent(50,0.0); + S35_ETA_0->SetBinContent(51,0.0); // overflow + S35_ETA_0->SetEntries(0); + // Style + S35_ETA_0->SetLineColor(9); + S35_ETA_0->SetLineStyle(1); + S35_ETA_0->SetLineWidth(1); + S35_ETA_0->SetFillColor(9); + S35_ETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_70","mystack"); + stack->Add(S35_ETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#eta [ e_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_34.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_34.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_34.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_34.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_34.py new file mode 100644 index 00000000..16ce2b67 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_34.py @@ -0,0 +1,62 @@ +def selection_34(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y35_ETA_0 + y35_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y35_ETA_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\eta$ $[ e_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y35_ETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y35_ETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_34.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_34.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_34.eps') + +# Running! +if __name__ == '__main__': + selection_34() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_35.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_35.C new file mode 100644 index 00000000..c526b42f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_35.C @@ -0,0 +1,99 @@ +void selection_35() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo71","canvas_plotflow_tempo71",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S36_PHI_0 = new TH1F("S36_PHI_0","S36_PHI_0",32,-3.2,3.2); + // Content + S36_PHI_0->SetBinContent(0,0.0); // underflow + S36_PHI_0->SetBinContent(1,0.0); + S36_PHI_0->SetBinContent(2,0.0); + S36_PHI_0->SetBinContent(3,0.0); + S36_PHI_0->SetBinContent(4,0.0); + S36_PHI_0->SetBinContent(5,0.0); + S36_PHI_0->SetBinContent(6,0.0); + S36_PHI_0->SetBinContent(7,0.0); + S36_PHI_0->SetBinContent(8,0.0); + S36_PHI_0->SetBinContent(9,0.0); + S36_PHI_0->SetBinContent(10,0.0); + S36_PHI_0->SetBinContent(11,0.0); + S36_PHI_0->SetBinContent(12,0.0); + S36_PHI_0->SetBinContent(13,0.0); + S36_PHI_0->SetBinContent(14,0.0); + S36_PHI_0->SetBinContent(15,0.0); + S36_PHI_0->SetBinContent(16,0.0); + S36_PHI_0->SetBinContent(17,0.0); + S36_PHI_0->SetBinContent(18,0.0); + S36_PHI_0->SetBinContent(19,0.0); + S36_PHI_0->SetBinContent(20,0.0); + S36_PHI_0->SetBinContent(21,0.0); + S36_PHI_0->SetBinContent(22,0.0); + S36_PHI_0->SetBinContent(23,0.0); + S36_PHI_0->SetBinContent(24,0.0); + S36_PHI_0->SetBinContent(25,0.0); + S36_PHI_0->SetBinContent(26,0.0); + S36_PHI_0->SetBinContent(27,0.0); + S36_PHI_0->SetBinContent(28,0.0); + S36_PHI_0->SetBinContent(29,0.0); + S36_PHI_0->SetBinContent(30,0.0); + S36_PHI_0->SetBinContent(31,0.0); + S36_PHI_0->SetBinContent(32,0.0); + S36_PHI_0->SetBinContent(33,0.0); // overflow + S36_PHI_0->SetEntries(0); + // Style + S36_PHI_0->SetLineColor(9); + S36_PHI_0->SetLineStyle(1); + S36_PHI_0->SetLineWidth(1); + S36_PHI_0->SetFillColor(9); + S36_PHI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_72","mystack"); + stack->Add(S36_PHI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#phi [ e_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_35.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_35.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_35.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_35.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_35.py new file mode 100644 index 00000000..cfdacd65 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_35.py @@ -0,0 +1,62 @@ +def selection_35(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) + + # Creating weights for histo: y36_PHI_0 + y36_PHI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y36_PHI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\phi$ $[ e_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y36_PHI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y36_PHI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_35.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_35.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_35.eps') + +# Running! +if __name__ == '__main__': + selection_35() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_36.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_36.C new file mode 100644 index 00000000..fd92ef2a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_36.C @@ -0,0 +1,117 @@ +void selection_36() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo73","canvas_plotflow_tempo73",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S37_E_0 = new TH1F("S37_E_0","S37_E_0",50,0.0,2000.0); + // Content + S37_E_0->SetBinContent(0,0.0); // underflow + S37_E_0->SetBinContent(1,0.0); + S37_E_0->SetBinContent(2,0.0); + S37_E_0->SetBinContent(3,0.0); + S37_E_0->SetBinContent(4,0.0); + S37_E_0->SetBinContent(5,0.0); + S37_E_0->SetBinContent(6,0.0); + S37_E_0->SetBinContent(7,0.0); + S37_E_0->SetBinContent(8,0.0); + S37_E_0->SetBinContent(9,0.0); + S37_E_0->SetBinContent(10,0.0); + S37_E_0->SetBinContent(11,0.0); + S37_E_0->SetBinContent(12,0.0); + S37_E_0->SetBinContent(13,0.0); + S37_E_0->SetBinContent(14,0.0); + S37_E_0->SetBinContent(15,0.0); + S37_E_0->SetBinContent(16,0.0); + S37_E_0->SetBinContent(17,0.0); + S37_E_0->SetBinContent(18,0.0); + S37_E_0->SetBinContent(19,0.0); + S37_E_0->SetBinContent(20,0.0); + S37_E_0->SetBinContent(21,0.0); + S37_E_0->SetBinContent(22,0.0); + S37_E_0->SetBinContent(23,0.0); + S37_E_0->SetBinContent(24,0.0); + S37_E_0->SetBinContent(25,0.0); + S37_E_0->SetBinContent(26,0.0); + S37_E_0->SetBinContent(27,0.0); + S37_E_0->SetBinContent(28,0.0); + S37_E_0->SetBinContent(29,0.0); + S37_E_0->SetBinContent(30,0.0); + S37_E_0->SetBinContent(31,0.0); + S37_E_0->SetBinContent(32,0.0); + S37_E_0->SetBinContent(33,0.0); + S37_E_0->SetBinContent(34,0.0); + S37_E_0->SetBinContent(35,0.0); + S37_E_0->SetBinContent(36,0.0); + S37_E_0->SetBinContent(37,0.0); + S37_E_0->SetBinContent(38,0.0); + S37_E_0->SetBinContent(39,0.0); + S37_E_0->SetBinContent(40,0.0); + S37_E_0->SetBinContent(41,0.0); + S37_E_0->SetBinContent(42,0.0); + S37_E_0->SetBinContent(43,0.0); + S37_E_0->SetBinContent(44,0.0); + S37_E_0->SetBinContent(45,0.0); + S37_E_0->SetBinContent(46,0.0); + S37_E_0->SetBinContent(47,0.0); + S37_E_0->SetBinContent(48,0.0); + S37_E_0->SetBinContent(49,0.0); + S37_E_0->SetBinContent(50,0.0); + S37_E_0->SetBinContent(51,0.0); // overflow + S37_E_0->SetEntries(0); + // Style + S37_E_0->SetLineColor(9); + S37_E_0->SetLineStyle(1); + S37_E_0->SetLineWidth(1); + S37_E_0->SetFillColor(9); + S37_E_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_74","mystack"); + stack->Add(S37_E_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E [ e_{2} ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_36.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_36.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_36.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_36.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_36.py new file mode 100644 index 00000000..231823d3 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_36.py @@ -0,0 +1,62 @@ +def selection_36(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y37_E_0 + y37_E_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y37_E_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E$ $[ e_{2} ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y37_E_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y37_E_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_36.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_36.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_36.eps') + +# Running! +if __name__ == '__main__': + selection_36() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_37.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_37.C new file mode 100644 index 00000000..2b5cd3eb --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_37.C @@ -0,0 +1,117 @@ +void selection_37() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo75","canvas_plotflow_tempo75",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S38_MT_MET_0 = new TH1F("S38_MT_MET_0","S38_MT_MET_0",50,0.0,1000.0); + // Content + S38_MT_MET_0->SetBinContent(0,0.0); // underflow + S38_MT_MET_0->SetBinContent(1,0.0); + S38_MT_MET_0->SetBinContent(2,0.0); + S38_MT_MET_0->SetBinContent(3,0.0); + S38_MT_MET_0->SetBinContent(4,0.0); + S38_MT_MET_0->SetBinContent(5,0.0); + S38_MT_MET_0->SetBinContent(6,0.0); + S38_MT_MET_0->SetBinContent(7,0.0); + S38_MT_MET_0->SetBinContent(8,0.0); + S38_MT_MET_0->SetBinContent(9,0.0); + S38_MT_MET_0->SetBinContent(10,0.0); + S38_MT_MET_0->SetBinContent(11,0.0); + S38_MT_MET_0->SetBinContent(12,0.0); + S38_MT_MET_0->SetBinContent(13,0.0); + S38_MT_MET_0->SetBinContent(14,0.0); + S38_MT_MET_0->SetBinContent(15,0.0); + S38_MT_MET_0->SetBinContent(16,0.0); + S38_MT_MET_0->SetBinContent(17,0.0); + S38_MT_MET_0->SetBinContent(18,0.0); + S38_MT_MET_0->SetBinContent(19,0.0); + S38_MT_MET_0->SetBinContent(20,0.0); + S38_MT_MET_0->SetBinContent(21,0.0); + S38_MT_MET_0->SetBinContent(22,0.0); + S38_MT_MET_0->SetBinContent(23,0.0); + S38_MT_MET_0->SetBinContent(24,0.0); + S38_MT_MET_0->SetBinContent(25,0.0); + S38_MT_MET_0->SetBinContent(26,0.0); + S38_MT_MET_0->SetBinContent(27,0.0); + S38_MT_MET_0->SetBinContent(28,0.0); + S38_MT_MET_0->SetBinContent(29,0.0); + S38_MT_MET_0->SetBinContent(30,0.0); + S38_MT_MET_0->SetBinContent(31,0.0); + S38_MT_MET_0->SetBinContent(32,0.0); + S38_MT_MET_0->SetBinContent(33,0.0); + S38_MT_MET_0->SetBinContent(34,0.0); + S38_MT_MET_0->SetBinContent(35,0.0); + S38_MT_MET_0->SetBinContent(36,0.0); + S38_MT_MET_0->SetBinContent(37,0.0); + S38_MT_MET_0->SetBinContent(38,0.0); + S38_MT_MET_0->SetBinContent(39,0.0); + S38_MT_MET_0->SetBinContent(40,0.0); + S38_MT_MET_0->SetBinContent(41,0.0); + S38_MT_MET_0->SetBinContent(42,0.0); + S38_MT_MET_0->SetBinContent(43,0.0); + S38_MT_MET_0->SetBinContent(44,0.0); + S38_MT_MET_0->SetBinContent(45,0.0); + S38_MT_MET_0->SetBinContent(46,0.0); + S38_MT_MET_0->SetBinContent(47,0.0); + S38_MT_MET_0->SetBinContent(48,0.0); + S38_MT_MET_0->SetBinContent(49,0.0); + S38_MT_MET_0->SetBinContent(50,0.0); + S38_MT_MET_0->SetBinContent(51,0.0); // overflow + S38_MT_MET_0->SetEntries(0); + // Style + S38_MT_MET_0->SetLineColor(9); + S38_MT_MET_0->SetLineStyle(1); + S38_MT_MET_0->SetLineWidth(1); + S38_MT_MET_0->SetFillColor(9); + S38_MT_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_76","mystack"); + stack->Add(S38_MT_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ e_{2} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_37.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_37.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_37.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_37.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_37.py new file mode 100644 index 00000000..a3c7ce07 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_37.py @@ -0,0 +1,62 @@ +def selection_37(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y38_MT_MET_0 + y38_MT_MET_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y38_MT_MET_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ e_{2} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y38_MT_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y38_MT_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_37.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_37.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_37.eps') + +# Running! +if __name__ == '__main__': + selection_37() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_38.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_38.C new file mode 100644 index 00000000..5a7834a7 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_38.C @@ -0,0 +1,117 @@ +void selection_38() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo77","canvas_plotflow_tempo77",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S39_M_0 = new TH1F("S39_M_0","S39_M_0",50,0.0,1000.0); + // Content + S39_M_0->SetBinContent(0,0.0); // underflow + S39_M_0->SetBinContent(1,0.0); + S39_M_0->SetBinContent(2,0.0); + S39_M_0->SetBinContent(3,0.0); + S39_M_0->SetBinContent(4,0.0); + S39_M_0->SetBinContent(5,0.0); + S39_M_0->SetBinContent(6,0.0); + S39_M_0->SetBinContent(7,0.0); + S39_M_0->SetBinContent(8,0.0); + S39_M_0->SetBinContent(9,0.0); + S39_M_0->SetBinContent(10,0.0); + S39_M_0->SetBinContent(11,0.0); + S39_M_0->SetBinContent(12,0.0); + S39_M_0->SetBinContent(13,0.0); + S39_M_0->SetBinContent(14,0.0); + S39_M_0->SetBinContent(15,0.0); + S39_M_0->SetBinContent(16,0.0); + S39_M_0->SetBinContent(17,0.0); + S39_M_0->SetBinContent(18,0.0); + S39_M_0->SetBinContent(19,0.0); + S39_M_0->SetBinContent(20,0.0); + S39_M_0->SetBinContent(21,0.0); + S39_M_0->SetBinContent(22,0.0); + S39_M_0->SetBinContent(23,0.0); + S39_M_0->SetBinContent(24,0.0); + S39_M_0->SetBinContent(25,0.0); + S39_M_0->SetBinContent(26,0.0); + S39_M_0->SetBinContent(27,0.0); + S39_M_0->SetBinContent(28,0.0); + S39_M_0->SetBinContent(29,0.0); + S39_M_0->SetBinContent(30,0.0); + S39_M_0->SetBinContent(31,0.0); + S39_M_0->SetBinContent(32,0.0); + S39_M_0->SetBinContent(33,0.0); + S39_M_0->SetBinContent(34,0.0); + S39_M_0->SetBinContent(35,0.0); + S39_M_0->SetBinContent(36,0.0); + S39_M_0->SetBinContent(37,0.0); + S39_M_0->SetBinContent(38,0.0); + S39_M_0->SetBinContent(39,0.0); + S39_M_0->SetBinContent(40,0.0); + S39_M_0->SetBinContent(41,0.0); + S39_M_0->SetBinContent(42,0.0); + S39_M_0->SetBinContent(43,0.0); + S39_M_0->SetBinContent(44,0.0); + S39_M_0->SetBinContent(45,0.0); + S39_M_0->SetBinContent(46,0.0); + S39_M_0->SetBinContent(47,0.0); + S39_M_0->SetBinContent(48,0.0); + S39_M_0->SetBinContent(49,0.0); + S39_M_0->SetBinContent(50,0.0); + S39_M_0->SetBinContent(51,0.0); // overflow + S39_M_0->SetEntries(0); + // Style + S39_M_0->SetLineColor(9); + S39_M_0->SetLineStyle(1); + S39_M_0->SetLineWidth(1); + S39_M_0->SetFillColor(9); + S39_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_78","mystack"); + stack->Add(S39_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ e_{1} e_{2} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_38.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_38.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_38.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_38.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_38.py new file mode 100644 index 00000000..e78a90ca --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_38.py @@ -0,0 +1,62 @@ +def selection_38(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y39_M_0 + y39_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y39_M_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ e_{1} e_{2} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y39_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y39_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_38.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_38.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_38.eps') + +# Running! +if __name__ == '__main__': + selection_38() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_39.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_39.C new file mode 100644 index 00000000..a8c5b4fe --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_39.C @@ -0,0 +1,117 @@ +void selection_39() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo79","canvas_plotflow_tempo79",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S40_PT_0 = new TH1F("S40_PT_0","S40_PT_0",50,0.0,1500.0); + // Content + S40_PT_0->SetBinContent(0,0.0); // underflow + S40_PT_0->SetBinContent(1,0.0); + S40_PT_0->SetBinContent(2,0.0); + S40_PT_0->SetBinContent(3,0.0); + S40_PT_0->SetBinContent(4,0.0); + S40_PT_0->SetBinContent(5,0.0); + S40_PT_0->SetBinContent(6,0.0); + S40_PT_0->SetBinContent(7,0.0); + S40_PT_0->SetBinContent(8,0.0); + S40_PT_0->SetBinContent(9,0.0); + S40_PT_0->SetBinContent(10,0.0); + S40_PT_0->SetBinContent(11,0.0); + S40_PT_0->SetBinContent(12,0.0); + S40_PT_0->SetBinContent(13,0.0); + S40_PT_0->SetBinContent(14,0.0); + S40_PT_0->SetBinContent(15,0.0); + S40_PT_0->SetBinContent(16,0.0); + S40_PT_0->SetBinContent(17,0.0); + S40_PT_0->SetBinContent(18,0.0); + S40_PT_0->SetBinContent(19,0.0); + S40_PT_0->SetBinContent(20,0.0); + S40_PT_0->SetBinContent(21,0.0); + S40_PT_0->SetBinContent(22,0.0); + S40_PT_0->SetBinContent(23,0.0); + S40_PT_0->SetBinContent(24,0.0); + S40_PT_0->SetBinContent(25,0.0); + S40_PT_0->SetBinContent(26,0.0); + S40_PT_0->SetBinContent(27,0.0); + S40_PT_0->SetBinContent(28,0.0); + S40_PT_0->SetBinContent(29,0.0); + S40_PT_0->SetBinContent(30,0.0); + S40_PT_0->SetBinContent(31,0.0); + S40_PT_0->SetBinContent(32,0.0); + S40_PT_0->SetBinContent(33,0.0); + S40_PT_0->SetBinContent(34,0.0); + S40_PT_0->SetBinContent(35,0.0); + S40_PT_0->SetBinContent(36,0.0); + S40_PT_0->SetBinContent(37,0.0); + S40_PT_0->SetBinContent(38,0.0); + S40_PT_0->SetBinContent(39,0.0); + S40_PT_0->SetBinContent(40,0.0); + S40_PT_0->SetBinContent(41,0.0); + S40_PT_0->SetBinContent(42,0.0); + S40_PT_0->SetBinContent(43,0.0); + S40_PT_0->SetBinContent(44,0.0); + S40_PT_0->SetBinContent(45,0.0); + S40_PT_0->SetBinContent(46,0.0); + S40_PT_0->SetBinContent(47,0.0); + S40_PT_0->SetBinContent(48,0.0); + S40_PT_0->SetBinContent(49,0.0); + S40_PT_0->SetBinContent(50,0.0); + S40_PT_0->SetBinContent(51,0.0); // overflow + S40_PT_0->SetEntries(0); + // Style + S40_PT_0->SetLineColor(9); + S40_PT_0->SetLineStyle(1); + S40_PT_0->SetLineWidth(1); + S40_PT_0->SetFillColor(9); + S40_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_80","mystack"); + stack->Add(S40_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ e_{1} e_{2} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_39.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_39.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_39.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_39.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_39.py new file mode 100644 index 00000000..ea6de740 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_39.py @@ -0,0 +1,62 @@ +def selection_39(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) + + # Creating weights for histo: y40_PT_0 + y40_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y40_PT_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ e_{1} e_{2} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y40_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y40_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_39.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_39.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_39.eps') + +# Running! +if __name__ == '__main__': + selection_39() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_4.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_4.C new file mode 100644 index 00000000..33e89f62 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_4.C @@ -0,0 +1,117 @@ +void selection_4() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo9","canvas_plotflow_tempo9",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S5_TET_0 = new TH1F("S5_TET_0","S5_TET_0",50,0.0,5000.0); + // Content + S5_TET_0->SetBinContent(0,0.0); // underflow + S5_TET_0->SetBinContent(1,0.0); + S5_TET_0->SetBinContent(2,0.5561219); + S5_TET_0->SetBinContent(3,8.341828); + S5_TET_0->SetBinContent(4,4.788827); + S5_TET_0->SetBinContent(5,1.127692); + S5_TET_0->SetBinContent(6,0.2935088); + S5_TET_0->SetBinContent(7,0.1544783); + S5_TET_0->SetBinContent(8,0.1544783); + S5_TET_0->SetBinContent(9,0.03089566); + S5_TET_0->SetBinContent(10,0.0); + S5_TET_0->SetBinContent(11,0.0); + S5_TET_0->SetBinContent(12,0.0); + S5_TET_0->SetBinContent(13,0.0); + S5_TET_0->SetBinContent(14,0.0); + S5_TET_0->SetBinContent(15,0.0); + S5_TET_0->SetBinContent(16,0.0); + S5_TET_0->SetBinContent(17,0.0); + S5_TET_0->SetBinContent(18,0.0); + S5_TET_0->SetBinContent(19,0.0); + S5_TET_0->SetBinContent(20,0.0); + S5_TET_0->SetBinContent(21,0.0); + S5_TET_0->SetBinContent(22,0.0); + S5_TET_0->SetBinContent(23,0.0); + S5_TET_0->SetBinContent(24,0.0); + S5_TET_0->SetBinContent(25,0.0); + S5_TET_0->SetBinContent(26,0.0); + S5_TET_0->SetBinContent(27,0.0); + S5_TET_0->SetBinContent(28,0.0); + S5_TET_0->SetBinContent(29,0.0); + S5_TET_0->SetBinContent(30,0.0); + S5_TET_0->SetBinContent(31,0.0); + S5_TET_0->SetBinContent(32,0.0); + S5_TET_0->SetBinContent(33,0.0); + S5_TET_0->SetBinContent(34,0.0); + S5_TET_0->SetBinContent(35,0.0); + S5_TET_0->SetBinContent(36,0.0); + S5_TET_0->SetBinContent(37,0.0); + S5_TET_0->SetBinContent(38,0.0); + S5_TET_0->SetBinContent(39,0.0); + S5_TET_0->SetBinContent(40,0.0); + S5_TET_0->SetBinContent(41,0.0); + S5_TET_0->SetBinContent(42,0.0); + S5_TET_0->SetBinContent(43,0.0); + S5_TET_0->SetBinContent(44,0.0); + S5_TET_0->SetBinContent(45,0.0); + S5_TET_0->SetBinContent(46,0.0); + S5_TET_0->SetBinContent(47,0.0); + S5_TET_0->SetBinContent(48,0.0); + S5_TET_0->SetBinContent(49,0.0); + S5_TET_0->SetBinContent(50,0.0); + S5_TET_0->SetBinContent(51,0.0); // overflow + S5_TET_0->SetEntries(1000); + // Style + S5_TET_0->SetLineColor(9); + S5_TET_0->SetLineStyle(1); + S5_TET_0->SetLineWidth(1); + S5_TET_0->SetFillColor(9); + S5_TET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_10","mystack"); + stack->Add(S5_TET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E_{T} (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_4.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_4.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_4.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_4.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_4.py new file mode 100644 index 00000000..5a4f3528 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_4.py @@ -0,0 +1,62 @@ +def selection_4(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,5000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([50.0,150.0,250.0,350.0,450.0,550.0,650.0,750.0,850.0,950.0,1050.0,1150.0,1250.0,1350.0,1450.0,1550.0,1650.0,1750.0,1850.0,1950.0,2050.0,2150.0,2250.0,2350.0,2450.0,2550.0,2650.0,2750.0,2850.0,2950.0,3050.0,3150.0,3250.0,3350.0,3450.0,3550.0,3650.0,3750.0,3850.0,3950.0,4050.0,4150.0,4250.0,4350.0,4450.0,4550.0,4650.0,4750.0,4850.0,4950.0]) + + # Creating weights for histo: y5_TET_0 + y5_TET_0_weights = numpy.array([0.0,0.5561219,8.341828,4.788827,1.127692,0.2935088,0.1544783,0.1544783,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y5_TET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E_{T}$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y5_TET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y5_TET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_4.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_4.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_4.eps') + +# Running! +if __name__ == '__main__': + selection_4() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_40.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_40.C new file mode 100644 index 00000000..12efd003 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_40.C @@ -0,0 +1,117 @@ +void selection_40() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo81","canvas_plotflow_tempo81",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S41_DELTAR_0 = new TH1F("S41_DELTAR_0","S41_DELTAR_0",50,0.0,10.0); + // Content + S41_DELTAR_0->SetBinContent(0,0.0); // underflow + S41_DELTAR_0->SetBinContent(1,0.0); + S41_DELTAR_0->SetBinContent(2,0.0); + S41_DELTAR_0->SetBinContent(3,0.0); + S41_DELTAR_0->SetBinContent(4,0.0); + S41_DELTAR_0->SetBinContent(5,0.0); + S41_DELTAR_0->SetBinContent(6,0.0); + S41_DELTAR_0->SetBinContent(7,0.0); + S41_DELTAR_0->SetBinContent(8,0.0); + S41_DELTAR_0->SetBinContent(9,0.0); + S41_DELTAR_0->SetBinContent(10,0.0); + S41_DELTAR_0->SetBinContent(11,0.0); + S41_DELTAR_0->SetBinContent(12,0.0); + S41_DELTAR_0->SetBinContent(13,0.0); + S41_DELTAR_0->SetBinContent(14,0.0); + S41_DELTAR_0->SetBinContent(15,0.0); + S41_DELTAR_0->SetBinContent(16,0.0); + S41_DELTAR_0->SetBinContent(17,0.0); + S41_DELTAR_0->SetBinContent(18,0.0); + S41_DELTAR_0->SetBinContent(19,0.0); + S41_DELTAR_0->SetBinContent(20,0.0); + S41_DELTAR_0->SetBinContent(21,0.0); + S41_DELTAR_0->SetBinContent(22,0.0); + S41_DELTAR_0->SetBinContent(23,0.0); + S41_DELTAR_0->SetBinContent(24,0.0); + S41_DELTAR_0->SetBinContent(25,0.0); + S41_DELTAR_0->SetBinContent(26,0.0); + S41_DELTAR_0->SetBinContent(27,0.0); + S41_DELTAR_0->SetBinContent(28,0.0); + S41_DELTAR_0->SetBinContent(29,0.0); + S41_DELTAR_0->SetBinContent(30,0.0); + S41_DELTAR_0->SetBinContent(31,0.0); + S41_DELTAR_0->SetBinContent(32,0.0); + S41_DELTAR_0->SetBinContent(33,0.0); + S41_DELTAR_0->SetBinContent(34,0.0); + S41_DELTAR_0->SetBinContent(35,0.0); + S41_DELTAR_0->SetBinContent(36,0.0); + S41_DELTAR_0->SetBinContent(37,0.0); + S41_DELTAR_0->SetBinContent(38,0.0); + S41_DELTAR_0->SetBinContent(39,0.0); + S41_DELTAR_0->SetBinContent(40,0.0); + S41_DELTAR_0->SetBinContent(41,0.0); + S41_DELTAR_0->SetBinContent(42,0.0); + S41_DELTAR_0->SetBinContent(43,0.0); + S41_DELTAR_0->SetBinContent(44,0.0); + S41_DELTAR_0->SetBinContent(45,0.0); + S41_DELTAR_0->SetBinContent(46,0.0); + S41_DELTAR_0->SetBinContent(47,0.0); + S41_DELTAR_0->SetBinContent(48,0.0); + S41_DELTAR_0->SetBinContent(49,0.0); + S41_DELTAR_0->SetBinContent(50,0.0); + S41_DELTAR_0->SetBinContent(51,0.0); // overflow + S41_DELTAR_0->SetEntries(0); + // Style + S41_DELTAR_0->SetLineColor(9); + S41_DELTAR_0->SetLineStyle(1); + S41_DELTAR_0->SetLineWidth(1); + S41_DELTAR_0->SetFillColor(9); + S41_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_82","mystack"); + stack->Add(S41_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ e_{1}, e_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_40.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_40.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_40.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_40.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_40.py new file mode 100644 index 00000000..0bf0bbad --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_40.py @@ -0,0 +1,62 @@ +def selection_40(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y41_DELTAR_0 + y41_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y41_DELTAR_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ e_{1}, e_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y41_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y41_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_40.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_40.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_40.eps') + +# Running! +if __name__ == '__main__': + selection_40() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_41.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_41.C new file mode 100644 index 00000000..a4ed18a1 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_41.C @@ -0,0 +1,99 @@ +void selection_41() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo83","canvas_plotflow_tempo83",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S42_DPHI_0_PI_0 = new TH1F("S42_DPHI_0_PI_0","S42_DPHI_0_PI_0",32,0.0,3.2); + // Content + S42_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow + S42_DPHI_0_PI_0->SetBinContent(1,0.0); + S42_DPHI_0_PI_0->SetBinContent(2,0.0); + S42_DPHI_0_PI_0->SetBinContent(3,0.0); + S42_DPHI_0_PI_0->SetBinContent(4,0.0); + S42_DPHI_0_PI_0->SetBinContent(5,0.0); + S42_DPHI_0_PI_0->SetBinContent(6,0.0); + S42_DPHI_0_PI_0->SetBinContent(7,0.0); + S42_DPHI_0_PI_0->SetBinContent(8,0.0); + S42_DPHI_0_PI_0->SetBinContent(9,0.0); + S42_DPHI_0_PI_0->SetBinContent(10,0.0); + S42_DPHI_0_PI_0->SetBinContent(11,0.0); + S42_DPHI_0_PI_0->SetBinContent(12,0.0); + S42_DPHI_0_PI_0->SetBinContent(13,0.0); + S42_DPHI_0_PI_0->SetBinContent(14,0.0); + S42_DPHI_0_PI_0->SetBinContent(15,0.0); + S42_DPHI_0_PI_0->SetBinContent(16,0.0); + S42_DPHI_0_PI_0->SetBinContent(17,0.0); + S42_DPHI_0_PI_0->SetBinContent(18,0.0); + S42_DPHI_0_PI_0->SetBinContent(19,0.0); + S42_DPHI_0_PI_0->SetBinContent(20,0.0); + S42_DPHI_0_PI_0->SetBinContent(21,0.0); + S42_DPHI_0_PI_0->SetBinContent(22,0.0); + S42_DPHI_0_PI_0->SetBinContent(23,0.0); + S42_DPHI_0_PI_0->SetBinContent(24,0.0); + S42_DPHI_0_PI_0->SetBinContent(25,0.0); + S42_DPHI_0_PI_0->SetBinContent(26,0.0); + S42_DPHI_0_PI_0->SetBinContent(27,0.0); + S42_DPHI_0_PI_0->SetBinContent(28,0.0); + S42_DPHI_0_PI_0->SetBinContent(29,0.0); + S42_DPHI_0_PI_0->SetBinContent(30,0.0); + S42_DPHI_0_PI_0->SetBinContent(31,0.0); + S42_DPHI_0_PI_0->SetBinContent(32,0.0); + S42_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow + S42_DPHI_0_PI_0->SetEntries(0); + // Style + S42_DPHI_0_PI_0->SetLineColor(9); + S42_DPHI_0_PI_0->SetLineStyle(1); + S42_DPHI_0_PI_0->SetLineWidth(1); + S42_DPHI_0_PI_0->SetFillColor(9); + S42_DPHI_0_PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_84","mystack"); + stack->Add(S42_DPHI_0_PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ e_{1}, e_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_41.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_41.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_41.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_41.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_41.py new file mode 100644 index 00000000..6bf8e82b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_41.py @@ -0,0 +1,62 @@ +def selection_41(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) + + # Creating weights for histo: y42_DPHI_0_PI_0 + y42_DPHI_0_PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y42_DPHI_0_PI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ e_{1}, e_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y42_DPHI_0_PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y42_DPHI_0_PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_41.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_41.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_41.eps') + +# Running! +if __name__ == '__main__': + selection_41() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_42.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_42.C new file mode 100644 index 00000000..9b8cd431 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_42.C @@ -0,0 +1,99 @@ +void selection_42() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo85","canvas_plotflow_tempo85",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S43_DPHI_0_2PI_0 = new TH1F("S43_DPHI_0_2PI_0","S43_DPHI_0_2PI_0",32,0.0,6.4); + // Content + S43_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow + S43_DPHI_0_2PI_0->SetBinContent(1,0.0); + S43_DPHI_0_2PI_0->SetBinContent(2,0.0); + S43_DPHI_0_2PI_0->SetBinContent(3,0.0); + S43_DPHI_0_2PI_0->SetBinContent(4,0.0); + S43_DPHI_0_2PI_0->SetBinContent(5,0.0); + S43_DPHI_0_2PI_0->SetBinContent(6,0.0); + S43_DPHI_0_2PI_0->SetBinContent(7,0.0); + S43_DPHI_0_2PI_0->SetBinContent(8,0.0); + S43_DPHI_0_2PI_0->SetBinContent(9,0.0); + S43_DPHI_0_2PI_0->SetBinContent(10,0.0); + S43_DPHI_0_2PI_0->SetBinContent(11,0.0); + S43_DPHI_0_2PI_0->SetBinContent(12,0.0); + S43_DPHI_0_2PI_0->SetBinContent(13,0.0); + S43_DPHI_0_2PI_0->SetBinContent(14,0.0); + S43_DPHI_0_2PI_0->SetBinContent(15,0.0); + S43_DPHI_0_2PI_0->SetBinContent(16,0.0); + S43_DPHI_0_2PI_0->SetBinContent(17,0.0); + S43_DPHI_0_2PI_0->SetBinContent(18,0.0); + S43_DPHI_0_2PI_0->SetBinContent(19,0.0); + S43_DPHI_0_2PI_0->SetBinContent(20,0.0); + S43_DPHI_0_2PI_0->SetBinContent(21,0.0); + S43_DPHI_0_2PI_0->SetBinContent(22,0.0); + S43_DPHI_0_2PI_0->SetBinContent(23,0.0); + S43_DPHI_0_2PI_0->SetBinContent(24,0.0); + S43_DPHI_0_2PI_0->SetBinContent(25,0.0); + S43_DPHI_0_2PI_0->SetBinContent(26,0.0); + S43_DPHI_0_2PI_0->SetBinContent(27,0.0); + S43_DPHI_0_2PI_0->SetBinContent(28,0.0); + S43_DPHI_0_2PI_0->SetBinContent(29,0.0); + S43_DPHI_0_2PI_0->SetBinContent(30,0.0); + S43_DPHI_0_2PI_0->SetBinContent(31,0.0); + S43_DPHI_0_2PI_0->SetBinContent(32,0.0); + S43_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow + S43_DPHI_0_2PI_0->SetEntries(0); + // Style + S43_DPHI_0_2PI_0->SetLineColor(9); + S43_DPHI_0_2PI_0->SetLineStyle(1); + S43_DPHI_0_2PI_0->SetLineWidth(1); + S43_DPHI_0_2PI_0->SetFillColor(9); + S43_DPHI_0_2PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_86","mystack"); + stack->Add(S43_DPHI_0_2PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ e_{1}, e_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_42.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_42.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_42.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_42.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_42.py new file mode 100644 index 00000000..ec365b65 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_42.py @@ -0,0 +1,62 @@ +def selection_42(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) + + # Creating weights for histo: y43_DPHI_0_2PI_0 + y43_DPHI_0_2PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y43_DPHI_0_2PI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ e_{1}, e_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y43_DPHI_0_2PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y43_DPHI_0_2PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_42.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_42.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_42.eps') + +# Running! +if __name__ == '__main__': + selection_42() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_43.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_43.C new file mode 100644 index 00000000..8d783243 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_43.C @@ -0,0 +1,117 @@ +void selection_43() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo87","canvas_plotflow_tempo87",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S44_PT_0 = new TH1F("S44_PT_0","S44_PT_0",50,0.0,1000.0); + // Content + S44_PT_0->SetBinContent(0,0.0); // underflow + S44_PT_0->SetBinContent(1,1.174035); + S44_PT_0->SetBinContent(2,2.641579); + S44_PT_0->SetBinContent(3,1.7765); + S44_PT_0->SetBinContent(4,1.004109); + S44_PT_0->SetBinContent(5,0.4943306); + S44_PT_0->SetBinContent(6,0.3089566); + S44_PT_0->SetBinContent(7,0.09268698); + S44_PT_0->SetBinContent(8,0.01544783); + S44_PT_0->SetBinContent(9,0.04634349); + S44_PT_0->SetBinContent(10,0.03089566); + S44_PT_0->SetBinContent(11,0.03089566); + S44_PT_0->SetBinContent(12,0.01544783); + S44_PT_0->SetBinContent(13,0.0); + S44_PT_0->SetBinContent(14,0.0); + S44_PT_0->SetBinContent(15,0.0); + S44_PT_0->SetBinContent(16,0.0); + S44_PT_0->SetBinContent(17,0.0); + S44_PT_0->SetBinContent(18,0.0); + S44_PT_0->SetBinContent(19,0.0); + S44_PT_0->SetBinContent(20,0.0); + S44_PT_0->SetBinContent(21,0.0); + S44_PT_0->SetBinContent(22,0.0); + S44_PT_0->SetBinContent(23,0.0); + S44_PT_0->SetBinContent(24,0.0); + S44_PT_0->SetBinContent(25,0.0); + S44_PT_0->SetBinContent(26,0.0); + S44_PT_0->SetBinContent(27,0.0); + S44_PT_0->SetBinContent(28,0.0); + S44_PT_0->SetBinContent(29,0.0); + S44_PT_0->SetBinContent(30,0.0); + S44_PT_0->SetBinContent(31,0.0); + S44_PT_0->SetBinContent(32,0.0); + S44_PT_0->SetBinContent(33,0.0); + S44_PT_0->SetBinContent(34,0.0); + S44_PT_0->SetBinContent(35,0.0); + S44_PT_0->SetBinContent(36,0.0); + S44_PT_0->SetBinContent(37,0.0); + S44_PT_0->SetBinContent(38,0.0); + S44_PT_0->SetBinContent(39,0.0); + S44_PT_0->SetBinContent(40,0.0); + S44_PT_0->SetBinContent(41,0.0); + S44_PT_0->SetBinContent(42,0.0); + S44_PT_0->SetBinContent(43,0.0); + S44_PT_0->SetBinContent(44,0.0); + S44_PT_0->SetBinContent(45,0.0); + S44_PT_0->SetBinContent(46,0.0); + S44_PT_0->SetBinContent(47,0.0); + S44_PT_0->SetBinContent(48,0.0); + S44_PT_0->SetBinContent(49,0.0); + S44_PT_0->SetBinContent(50,0.0); + S44_PT_0->SetBinContent(51,0.0); // overflow + S44_PT_0->SetEntries(494); + // Style + S44_PT_0->SetLineColor(9); + S44_PT_0->SetLineStyle(1); + S44_PT_0->SetLineWidth(1); + S44_PT_0->SetFillColor(9); + S44_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_88","mystack"); + stack->Add(S44_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ mu ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_43.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_43.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_43.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_43.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_43.py new file mode 100644 index 00000000..b1cab8bf --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_43.py @@ -0,0 +1,62 @@ +def selection_43(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y44_PT_0 + y44_PT_0_weights = numpy.array([1.174035,2.641579,1.7765,1.004109,0.4943306,0.3089566,0.09268698,0.01544783,0.04634349,0.03089566,0.03089566,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y44_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ mu ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y44_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y44_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_43.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_43.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_43.eps') + +# Running! +if __name__ == '__main__': + selection_43() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_44.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_44.C new file mode 100644 index 00000000..86e761af --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_44.C @@ -0,0 +1,117 @@ +void selection_44() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo89","canvas_plotflow_tempo89",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S45_ETA_0 = new TH1F("S45_ETA_0","S45_ETA_0",50,-8.0,8.0); + // Content + S45_ETA_0->SetBinContent(0,0.0); // underflow + S45_ETA_0->SetBinContent(1,0.0); + S45_ETA_0->SetBinContent(2,0.0); + S45_ETA_0->SetBinContent(3,0.0); + S45_ETA_0->SetBinContent(4,0.0); + S45_ETA_0->SetBinContent(5,0.0); + S45_ETA_0->SetBinContent(6,0.0); + S45_ETA_0->SetBinContent(7,0.0); + S45_ETA_0->SetBinContent(8,0.0); + S45_ETA_0->SetBinContent(9,0.0); + S45_ETA_0->SetBinContent(10,0.0); + S45_ETA_0->SetBinContent(11,0.0); + S45_ETA_0->SetBinContent(12,0.0); + S45_ETA_0->SetBinContent(13,0.0); + S45_ETA_0->SetBinContent(14,0.0); + S45_ETA_0->SetBinContent(15,0.0); + S45_ETA_0->SetBinContent(16,0.0); + S45_ETA_0->SetBinContent(17,0.0); + S45_ETA_0->SetBinContent(18,0.1081348); + S45_ETA_0->SetBinContent(19,0.2935088); + S45_ETA_0->SetBinContent(20,0.3089566); + S45_ETA_0->SetBinContent(21,0.4170914); + S45_ETA_0->SetBinContent(22,0.4788827); + S45_ETA_0->SetBinContent(23,0.6024654); + S45_ETA_0->SetBinContent(24,0.726048); + S45_ETA_0->SetBinContent(25,0.6179132); + S45_ETA_0->SetBinContent(26,0.8959741); + S45_ETA_0->SetBinContent(27,0.726048); + S45_ETA_0->SetBinContent(28,0.6797045); + S45_ETA_0->SetBinContent(29,0.6488089); + S45_ETA_0->SetBinContent(30,0.4479871); + S45_ETA_0->SetBinContent(31,0.3707479); + S45_ETA_0->SetBinContent(32,0.185374); + S45_ETA_0->SetBinContent(33,0.1235826); + S45_ETA_0->SetBinContent(34,0.0); + S45_ETA_0->SetBinContent(35,0.0); + S45_ETA_0->SetBinContent(36,0.0); + S45_ETA_0->SetBinContent(37,0.0); + S45_ETA_0->SetBinContent(38,0.0); + S45_ETA_0->SetBinContent(39,0.0); + S45_ETA_0->SetBinContent(40,0.0); + S45_ETA_0->SetBinContent(41,0.0); + S45_ETA_0->SetBinContent(42,0.0); + S45_ETA_0->SetBinContent(43,0.0); + S45_ETA_0->SetBinContent(44,0.0); + S45_ETA_0->SetBinContent(45,0.0); + S45_ETA_0->SetBinContent(46,0.0); + S45_ETA_0->SetBinContent(47,0.0); + S45_ETA_0->SetBinContent(48,0.0); + S45_ETA_0->SetBinContent(49,0.0); + S45_ETA_0->SetBinContent(50,0.0); + S45_ETA_0->SetBinContent(51,0.0); // overflow + S45_ETA_0->SetEntries(494); + // Style + S45_ETA_0->SetLineColor(9); + S45_ETA_0->SetLineStyle(1); + S45_ETA_0->SetLineWidth(1); + S45_ETA_0->SetFillColor(9); + S45_ETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_90","mystack"); + stack->Add(S45_ETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#eta [ mu ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_44.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_44.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_44.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_44.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_44.py new file mode 100644 index 00000000..df8ed2c5 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_44.py @@ -0,0 +1,62 @@ +def selection_44(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y45_ETA_0 + y45_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1081348,0.2935088,0.3089566,0.4170914,0.4788827,0.6024654,0.726048,0.6179132,0.8959741,0.726048,0.6797045,0.6488089,0.4479871,0.3707479,0.185374,0.1235826,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y45_ETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\eta$ $[ mu ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y45_ETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y45_ETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_44.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_44.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_44.eps') + +# Running! +if __name__ == '__main__': + selection_44() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_45.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_45.C new file mode 100644 index 00000000..01c119de --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_45.C @@ -0,0 +1,117 @@ +void selection_45() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo91","canvas_plotflow_tempo91",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S46_ABSETA_0 = new TH1F("S46_ABSETA_0","S46_ABSETA_0",50,0.0,8.0); + // Content + S46_ABSETA_0->SetBinContent(0,0.0); // underflow + S46_ABSETA_0->SetBinContent(1,0.7878393); + S46_ABSETA_0->SetBinContent(2,0.726048); + S46_ABSETA_0->SetBinContent(3,0.7414958); + S46_ABSETA_0->SetBinContent(4,0.7106002); + S46_ABSETA_0->SetBinContent(5,0.6642567); + S46_ABSETA_0->SetBinContent(6,0.6179132); + S46_ABSETA_0->SetBinContent(7,0.633361); + S46_ABSETA_0->SetBinContent(8,0.4943306); + S46_ABSETA_0->SetBinContent(9,0.4788827); + S46_ABSETA_0->SetBinContent(10,0.3861957); + S46_ABSETA_0->SetBinContent(11,0.4325392); + S46_ABSETA_0->SetBinContent(12,0.2471653); + S46_ABSETA_0->SetBinContent(13,0.3244044); + S46_ABSETA_0->SetBinContent(14,0.1544783); + S46_ABSETA_0->SetBinContent(15,0.1235826); + S46_ABSETA_0->SetBinContent(16,0.1081348); + S46_ABSETA_0->SetBinContent(17,0.0); + S46_ABSETA_0->SetBinContent(18,0.0); + S46_ABSETA_0->SetBinContent(19,0.0); + S46_ABSETA_0->SetBinContent(20,0.0); + S46_ABSETA_0->SetBinContent(21,0.0); + S46_ABSETA_0->SetBinContent(22,0.0); + S46_ABSETA_0->SetBinContent(23,0.0); + S46_ABSETA_0->SetBinContent(24,0.0); + S46_ABSETA_0->SetBinContent(25,0.0); + S46_ABSETA_0->SetBinContent(26,0.0); + S46_ABSETA_0->SetBinContent(27,0.0); + S46_ABSETA_0->SetBinContent(28,0.0); + S46_ABSETA_0->SetBinContent(29,0.0); + S46_ABSETA_0->SetBinContent(30,0.0); + S46_ABSETA_0->SetBinContent(31,0.0); + S46_ABSETA_0->SetBinContent(32,0.0); + S46_ABSETA_0->SetBinContent(33,0.0); + S46_ABSETA_0->SetBinContent(34,0.0); + S46_ABSETA_0->SetBinContent(35,0.0); + S46_ABSETA_0->SetBinContent(36,0.0); + S46_ABSETA_0->SetBinContent(37,0.0); + S46_ABSETA_0->SetBinContent(38,0.0); + S46_ABSETA_0->SetBinContent(39,0.0); + S46_ABSETA_0->SetBinContent(40,0.0); + S46_ABSETA_0->SetBinContent(41,0.0); + S46_ABSETA_0->SetBinContent(42,0.0); + S46_ABSETA_0->SetBinContent(43,0.0); + S46_ABSETA_0->SetBinContent(44,0.0); + S46_ABSETA_0->SetBinContent(45,0.0); + S46_ABSETA_0->SetBinContent(46,0.0); + S46_ABSETA_0->SetBinContent(47,0.0); + S46_ABSETA_0->SetBinContent(48,0.0); + S46_ABSETA_0->SetBinContent(49,0.0); + S46_ABSETA_0->SetBinContent(50,0.0); + S46_ABSETA_0->SetBinContent(51,0.0); // overflow + S46_ABSETA_0->SetEntries(494); + // Style + S46_ABSETA_0->SetLineColor(9); + S46_ABSETA_0->SetLineStyle(1); + S46_ABSETA_0->SetLineWidth(1); + S46_ABSETA_0->SetFillColor(9); + S46_ABSETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_92","mystack"); + stack->Add(S46_ABSETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("|#eta| [ mu ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_45.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_45.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_45.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_45.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_45.py new file mode 100644 index 00000000..a515dfb2 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_45.py @@ -0,0 +1,62 @@ +def selection_45(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.08,0.24,0.4,0.56,0.72,0.88,1.04,1.2,1.36,1.52,1.68,1.84,2.0,2.16,2.32,2.48,2.64,2.8000000000000003,2.96,3.12,3.2800000000000002,3.44,3.6,3.7600000000000002,3.92,4.08,4.24,4.4,4.5600000000000005,4.72,4.88,5.04,5.2,5.36,5.5200000000000005,5.68,5.84,6.0,6.16,6.32,6.48,6.640000000000001,6.8,6.96,7.12,7.28,7.44,7.6000000000000005,7.76,7.92]) + + # Creating weights for histo: y46_ABSETA_0 + y46_ABSETA_0_weights = numpy.array([0.7878393,0.726048,0.7414958,0.7106002,0.6642567,0.6179132,0.633361,0.4943306,0.4788827,0.3861957,0.4325392,0.2471653,0.3244044,0.1544783,0.1235826,0.1081348,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y46_ABSETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$|\eta|$ $[ mu ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y46_ABSETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y46_ABSETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_45.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_45.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_45.eps') + +# Running! +if __name__ == '__main__': + selection_45() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_46.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_46.C new file mode 100644 index 00000000..20673149 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_46.C @@ -0,0 +1,99 @@ +void selection_46() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo93","canvas_plotflow_tempo93",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S47_PHI_0 = new TH1F("S47_PHI_0","S47_PHI_0",32,-3.2,3.2); + // Content + S47_PHI_0->SetBinContent(0,0.0); // underflow + S47_PHI_0->SetBinContent(1,0.2162696); + S47_PHI_0->SetBinContent(2,0.2317174); + S47_PHI_0->SetBinContent(3,0.2317174); + S47_PHI_0->SetBinContent(4,0.2935088); + S47_PHI_0->SetBinContent(5,0.2008218); + S47_PHI_0->SetBinContent(6,0.3553001); + S47_PHI_0->SetBinContent(7,0.185374); + S47_PHI_0->SetBinContent(8,0.2317174); + S47_PHI_0->SetBinContent(9,0.2317174); + S47_PHI_0->SetBinContent(10,0.2935088); + S47_PHI_0->SetBinContent(11,0.2626131); + S47_PHI_0->SetBinContent(12,0.2471653); + S47_PHI_0->SetBinContent(13,0.2935088); + S47_PHI_0->SetBinContent(14,0.2317174); + S47_PHI_0->SetBinContent(15,0.2162696); + S47_PHI_0->SetBinContent(16,0.1390305); + S47_PHI_0->SetBinContent(17,0.3089566); + S47_PHI_0->SetBinContent(18,0.3707479); + S47_PHI_0->SetBinContent(19,0.2780609); + S47_PHI_0->SetBinContent(20,0.3089566); + S47_PHI_0->SetBinContent(21,0.2008218); + S47_PHI_0->SetBinContent(22,0.1544783); + S47_PHI_0->SetBinContent(23,0.185374); + S47_PHI_0->SetBinContent(24,0.2008218); + S47_PHI_0->SetBinContent(25,0.2317174); + S47_PHI_0->SetBinContent(26,0.2780609); + S47_PHI_0->SetBinContent(27,0.2162696); + S47_PHI_0->SetBinContent(28,0.185374); + S47_PHI_0->SetBinContent(29,0.2162696); + S47_PHI_0->SetBinContent(30,0.1699261); + S47_PHI_0->SetBinContent(31,0.2780609); + S47_PHI_0->SetBinContent(32,0.185374); + S47_PHI_0->SetBinContent(33,0.0); // overflow + S47_PHI_0->SetEntries(494); + // Style + S47_PHI_0->SetLineColor(9); + S47_PHI_0->SetLineStyle(1); + S47_PHI_0->SetLineWidth(1); + S47_PHI_0->SetFillColor(9); + S47_PHI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_94","mystack"); + stack->Add(S47_PHI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#phi [ mu ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_46.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_46.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_46.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_46.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_46.py new file mode 100644 index 00000000..b1e9c030 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_46.py @@ -0,0 +1,62 @@ +def selection_46(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) + + # Creating weights for histo: y47_PHI_0 + y47_PHI_0_weights = numpy.array([0.2162696,0.2317174,0.2317174,0.2935088,0.2008218,0.3553001,0.185374,0.2317174,0.2317174,0.2935088,0.2626131,0.2471653,0.2935088,0.2317174,0.2162696,0.1390305,0.3089566,0.3707479,0.2780609,0.3089566,0.2008218,0.1544783,0.185374,0.2008218,0.2317174,0.2780609,0.2162696,0.185374,0.2162696,0.1699261,0.2780609,0.185374]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y47_PHI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\phi$ $[ mu ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y47_PHI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y47_PHI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_46.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_46.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_46.eps') + +# Running! +if __name__ == '__main__': + selection_46() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_47.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_47.C new file mode 100644 index 00000000..6cb02ae4 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_47.C @@ -0,0 +1,117 @@ +void selection_47() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo95","canvas_plotflow_tempo95",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S48_E_0 = new TH1F("S48_E_0","S48_E_0",50,0.0,2000.0); + // Content + S48_E_0->SetBinContent(0,0.0); // underflow + S48_E_0->SetBinContent(1,2.193592); + S48_E_0->SetBinContent(2,2.70337); + S48_E_0->SetBinContent(3,1.174035); + S48_E_0->SetBinContent(4,0.5870175); + S48_E_0->SetBinContent(5,0.3707479); + S48_E_0->SetBinContent(6,0.3089566); + S48_E_0->SetBinContent(7,0.1235826); + S48_E_0->SetBinContent(8,0.1081348); + S48_E_0->SetBinContent(9,0.01544783); + S48_E_0->SetBinContent(10,0.01544783); + S48_E_0->SetBinContent(11,0.01544783); + S48_E_0->SetBinContent(12,0.0); + S48_E_0->SetBinContent(13,0.0); + S48_E_0->SetBinContent(14,0.0); + S48_E_0->SetBinContent(15,0.01544783); + S48_E_0->SetBinContent(16,0.0); + S48_E_0->SetBinContent(17,0.0); + S48_E_0->SetBinContent(18,0.0); + S48_E_0->SetBinContent(19,0.0); + S48_E_0->SetBinContent(20,0.0); + S48_E_0->SetBinContent(21,0.0); + S48_E_0->SetBinContent(22,0.0); + S48_E_0->SetBinContent(23,0.0); + S48_E_0->SetBinContent(24,0.0); + S48_E_0->SetBinContent(25,0.0); + S48_E_0->SetBinContent(26,0.0); + S48_E_0->SetBinContent(27,0.0); + S48_E_0->SetBinContent(28,0.0); + S48_E_0->SetBinContent(29,0.0); + S48_E_0->SetBinContent(30,0.0); + S48_E_0->SetBinContent(31,0.0); + S48_E_0->SetBinContent(32,0.0); + S48_E_0->SetBinContent(33,0.0); + S48_E_0->SetBinContent(34,0.0); + S48_E_0->SetBinContent(35,0.0); + S48_E_0->SetBinContent(36,0.0); + S48_E_0->SetBinContent(37,0.0); + S48_E_0->SetBinContent(38,0.0); + S48_E_0->SetBinContent(39,0.0); + S48_E_0->SetBinContent(40,0.0); + S48_E_0->SetBinContent(41,0.0); + S48_E_0->SetBinContent(42,0.0); + S48_E_0->SetBinContent(43,0.0); + S48_E_0->SetBinContent(44,0.0); + S48_E_0->SetBinContent(45,0.0); + S48_E_0->SetBinContent(46,0.0); + S48_E_0->SetBinContent(47,0.0); + S48_E_0->SetBinContent(48,0.0); + S48_E_0->SetBinContent(49,0.0); + S48_E_0->SetBinContent(50,0.0); + S48_E_0->SetBinContent(51,0.0); // overflow + S48_E_0->SetEntries(494); + // Style + S48_E_0->SetLineColor(9); + S48_E_0->SetLineStyle(1); + S48_E_0->SetLineWidth(1); + S48_E_0->SetFillColor(9); + S48_E_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_96","mystack"); + stack->Add(S48_E_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E [ mu ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_47.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_47.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_47.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_47.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_47.py new file mode 100644 index 00000000..cd610312 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_47.py @@ -0,0 +1,62 @@ +def selection_47(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y48_E_0 + y48_E_0_weights = numpy.array([2.193592,2.70337,1.174035,0.5870175,0.3707479,0.3089566,0.1235826,0.1081348,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y48_E_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E$ $[ mu ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y48_E_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y48_E_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_47.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_47.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_47.eps') + +# Running! +if __name__ == '__main__': + selection_47() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_48.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_48.C new file mode 100644 index 00000000..2c2e1c79 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_48.C @@ -0,0 +1,117 @@ +void selection_48() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo97","canvas_plotflow_tempo97",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S49_ET_0 = new TH1F("S49_ET_0","S49_ET_0",50,0.0,2000.0); + // Content + S49_ET_0->SetBinContent(0,0.0); // underflow + S49_ET_0->SetBinContent(1,3.815614); + S49_ET_0->SetBinContent(2,2.780609); + S49_ET_0->SetBinContent(3,0.8032872); + S49_ET_0->SetBinContent(4,0.1081348); + S49_ET_0->SetBinContent(5,0.07723915); + S49_ET_0->SetBinContent(6,0.04634349); + S49_ET_0->SetBinContent(7,0.0); + S49_ET_0->SetBinContent(8,0.0); + S49_ET_0->SetBinContent(9,0.0); + S49_ET_0->SetBinContent(10,0.0); + S49_ET_0->SetBinContent(11,0.0); + S49_ET_0->SetBinContent(12,0.0); + S49_ET_0->SetBinContent(13,0.0); + S49_ET_0->SetBinContent(14,0.0); + S49_ET_0->SetBinContent(15,0.0); + S49_ET_0->SetBinContent(16,0.0); + S49_ET_0->SetBinContent(17,0.0); + S49_ET_0->SetBinContent(18,0.0); + S49_ET_0->SetBinContent(19,0.0); + S49_ET_0->SetBinContent(20,0.0); + S49_ET_0->SetBinContent(21,0.0); + S49_ET_0->SetBinContent(22,0.0); + S49_ET_0->SetBinContent(23,0.0); + S49_ET_0->SetBinContent(24,0.0); + S49_ET_0->SetBinContent(25,0.0); + S49_ET_0->SetBinContent(26,0.0); + S49_ET_0->SetBinContent(27,0.0); + S49_ET_0->SetBinContent(28,0.0); + S49_ET_0->SetBinContent(29,0.0); + S49_ET_0->SetBinContent(30,0.0); + S49_ET_0->SetBinContent(31,0.0); + S49_ET_0->SetBinContent(32,0.0); + S49_ET_0->SetBinContent(33,0.0); + S49_ET_0->SetBinContent(34,0.0); + S49_ET_0->SetBinContent(35,0.0); + S49_ET_0->SetBinContent(36,0.0); + S49_ET_0->SetBinContent(37,0.0); + S49_ET_0->SetBinContent(38,0.0); + S49_ET_0->SetBinContent(39,0.0); + S49_ET_0->SetBinContent(40,0.0); + S49_ET_0->SetBinContent(41,0.0); + S49_ET_0->SetBinContent(42,0.0); + S49_ET_0->SetBinContent(43,0.0); + S49_ET_0->SetBinContent(44,0.0); + S49_ET_0->SetBinContent(45,0.0); + S49_ET_0->SetBinContent(46,0.0); + S49_ET_0->SetBinContent(47,0.0); + S49_ET_0->SetBinContent(48,0.0); + S49_ET_0->SetBinContent(49,0.0); + S49_ET_0->SetBinContent(50,0.0); + S49_ET_0->SetBinContent(51,0.0); // overflow + S49_ET_0->SetEntries(494); + // Style + S49_ET_0->SetLineColor(9); + S49_ET_0->SetLineStyle(1); + S49_ET_0->SetLineWidth(1); + S49_ET_0->SetFillColor(9); + S49_ET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_98","mystack"); + stack->Add(S49_ET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E_{T} [ mu ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_48.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_48.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_48.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_48.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_48.py new file mode 100644 index 00000000..6845a932 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_48.py @@ -0,0 +1,62 @@ +def selection_48(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y49_ET_0 + y49_ET_0_weights = numpy.array([3.815614,2.780609,0.8032872,0.1081348,0.07723915,0.04634349,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y49_ET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E_{T}$ $[ mu ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y49_ET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y49_ET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_48.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_48.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_48.eps') + +# Running! +if __name__ == '__main__': + selection_48() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_49.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_49.C new file mode 100644 index 00000000..90c5cb4c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_49.C @@ -0,0 +1,117 @@ +void selection_49() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo99","canvas_plotflow_tempo99",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S50_M_0 = new TH1F("S50_M_0","S50_M_0",50,0.0,20.0); + // Content + S50_M_0->SetBinContent(0,3.63024); // underflow + S50_M_0->SetBinContent(1,4.000988); + S50_M_0->SetBinContent(2,0.0); + S50_M_0->SetBinContent(3,0.0); + S50_M_0->SetBinContent(4,0.0); + S50_M_0->SetBinContent(5,0.0); + S50_M_0->SetBinContent(6,0.0); + S50_M_0->SetBinContent(7,0.0); + S50_M_0->SetBinContent(8,0.0); + S50_M_0->SetBinContent(9,0.0); + S50_M_0->SetBinContent(10,0.0); + S50_M_0->SetBinContent(11,0.0); + S50_M_0->SetBinContent(12,0.0); + S50_M_0->SetBinContent(13,0.0); + S50_M_0->SetBinContent(14,0.0); + S50_M_0->SetBinContent(15,0.0); + S50_M_0->SetBinContent(16,0.0); + S50_M_0->SetBinContent(17,0.0); + S50_M_0->SetBinContent(18,0.0); + S50_M_0->SetBinContent(19,0.0); + S50_M_0->SetBinContent(20,0.0); + S50_M_0->SetBinContent(21,0.0); + S50_M_0->SetBinContent(22,0.0); + S50_M_0->SetBinContent(23,0.0); + S50_M_0->SetBinContent(24,0.0); + S50_M_0->SetBinContent(25,0.0); + S50_M_0->SetBinContent(26,0.0); + S50_M_0->SetBinContent(27,0.0); + S50_M_0->SetBinContent(28,0.0); + S50_M_0->SetBinContent(29,0.0); + S50_M_0->SetBinContent(30,0.0); + S50_M_0->SetBinContent(31,0.0); + S50_M_0->SetBinContent(32,0.0); + S50_M_0->SetBinContent(33,0.0); + S50_M_0->SetBinContent(34,0.0); + S50_M_0->SetBinContent(35,0.0); + S50_M_0->SetBinContent(36,0.0); + S50_M_0->SetBinContent(37,0.0); + S50_M_0->SetBinContent(38,0.0); + S50_M_0->SetBinContent(39,0.0); + S50_M_0->SetBinContent(40,0.0); + S50_M_0->SetBinContent(41,0.0); + S50_M_0->SetBinContent(42,0.0); + S50_M_0->SetBinContent(43,0.0); + S50_M_0->SetBinContent(44,0.0); + S50_M_0->SetBinContent(45,0.0); + S50_M_0->SetBinContent(46,0.0); + S50_M_0->SetBinContent(47,0.0); + S50_M_0->SetBinContent(48,0.0); + S50_M_0->SetBinContent(49,0.0); + S50_M_0->SetBinContent(50,0.0); + S50_M_0->SetBinContent(51,0.0); // overflow + S50_M_0->SetEntries(494); + // Style + S50_M_0->SetLineColor(9); + S50_M_0->SetLineStyle(1); + S50_M_0->SetLineWidth(1); + S50_M_0->SetFillColor(9); + S50_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_100","mystack"); + stack->Add(S50_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ mu ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_49.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_49.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_49.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_49.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_49.py new file mode 100644 index 00000000..362f8dda --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_49.py @@ -0,0 +1,62 @@ +def selection_49(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,20.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.2,0.6000000000000001,1.0,1.4000000000000001,1.8,2.2,2.6,3.0,3.4000000000000004,3.8000000000000003,4.2,4.6000000000000005,5.0,5.4,5.800000000000001,6.2,6.6000000000000005,7.0,7.4,7.800000000000001,8.200000000000001,8.6,9.0,9.4,9.8,10.200000000000001,10.600000000000001,11.0,11.4,11.8,12.200000000000001,12.600000000000001,13.0,13.4,13.8,14.200000000000001,14.600000000000001,15.0,15.4,15.8,16.2,16.6,17.0,17.400000000000002,17.8,18.2,18.6,19.0,19.400000000000002,19.8]) + + # Creating weights for histo: y50_M_0 + y50_M_0_weights = numpy.array([4.000988,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y50_M_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ mu ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y50_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y50_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_49.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_49.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_49.eps') + +# Running! +if __name__ == '__main__': + selection_49() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_5.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_5.C new file mode 100644 index 00000000..a0be26ab --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_5.C @@ -0,0 +1,117 @@ +void selection_5() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo11","canvas_plotflow_tempo11",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S6_THT_0 = new TH1F("S6_THT_0","S6_THT_0",50,0.0,5000.0); + // Content + S6_THT_0->SetBinContent(0,0.0); // underflow + S6_THT_0->SetBinContent(1,0.0); + S6_THT_0->SetBinContent(2,3.012327); + S6_THT_0->SetBinContent(3,9.160563); + S6_THT_0->SetBinContent(4,2.394414); + S6_THT_0->SetBinContent(5,0.5870175); + S6_THT_0->SetBinContent(6,0.1699261); + S6_THT_0->SetBinContent(7,0.09268698); + S6_THT_0->SetBinContent(8,0.03089566); + S6_THT_0->SetBinContent(9,0.0); + S6_THT_0->SetBinContent(10,0.0); + S6_THT_0->SetBinContent(11,0.0); + S6_THT_0->SetBinContent(12,0.0); + S6_THT_0->SetBinContent(13,0.0); + S6_THT_0->SetBinContent(14,0.0); + S6_THT_0->SetBinContent(15,0.0); + S6_THT_0->SetBinContent(16,0.0); + S6_THT_0->SetBinContent(17,0.0); + S6_THT_0->SetBinContent(18,0.0); + S6_THT_0->SetBinContent(19,0.0); + S6_THT_0->SetBinContent(20,0.0); + S6_THT_0->SetBinContent(21,0.0); + S6_THT_0->SetBinContent(22,0.0); + S6_THT_0->SetBinContent(23,0.0); + S6_THT_0->SetBinContent(24,0.0); + S6_THT_0->SetBinContent(25,0.0); + S6_THT_0->SetBinContent(26,0.0); + S6_THT_0->SetBinContent(27,0.0); + S6_THT_0->SetBinContent(28,0.0); + S6_THT_0->SetBinContent(29,0.0); + S6_THT_0->SetBinContent(30,0.0); + S6_THT_0->SetBinContent(31,0.0); + S6_THT_0->SetBinContent(32,0.0); + S6_THT_0->SetBinContent(33,0.0); + S6_THT_0->SetBinContent(34,0.0); + S6_THT_0->SetBinContent(35,0.0); + S6_THT_0->SetBinContent(36,0.0); + S6_THT_0->SetBinContent(37,0.0); + S6_THT_0->SetBinContent(38,0.0); + S6_THT_0->SetBinContent(39,0.0); + S6_THT_0->SetBinContent(40,0.0); + S6_THT_0->SetBinContent(41,0.0); + S6_THT_0->SetBinContent(42,0.0); + S6_THT_0->SetBinContent(43,0.0); + S6_THT_0->SetBinContent(44,0.0); + S6_THT_0->SetBinContent(45,0.0); + S6_THT_0->SetBinContent(46,0.0); + S6_THT_0->SetBinContent(47,0.0); + S6_THT_0->SetBinContent(48,0.0); + S6_THT_0->SetBinContent(49,0.0); + S6_THT_0->SetBinContent(50,0.0); + S6_THT_0->SetBinContent(51,0.0); // overflow + S6_THT_0->SetEntries(1000); + // Style + S6_THT_0->SetLineColor(9); + S6_THT_0->SetLineStyle(1); + S6_THT_0->SetLineWidth(1); + S6_THT_0->SetFillColor(9); + S6_THT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_12","mystack"); + stack->Add(S6_THT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("H_{T} (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_5.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_5.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_5.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_5.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_5.py new file mode 100644 index 00000000..e68ed610 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_5.py @@ -0,0 +1,62 @@ +def selection_5(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,5000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([50.0,150.0,250.0,350.0,450.0,550.0,650.0,750.0,850.0,950.0,1050.0,1150.0,1250.0,1350.0,1450.0,1550.0,1650.0,1750.0,1850.0,1950.0,2050.0,2150.0,2250.0,2350.0,2450.0,2550.0,2650.0,2750.0,2850.0,2950.0,3050.0,3150.0,3250.0,3350.0,3450.0,3550.0,3650.0,3750.0,3850.0,3950.0,4050.0,4150.0,4250.0,4350.0,4450.0,4550.0,4650.0,4750.0,4850.0,4950.0]) + + # Creating weights for histo: y6_THT_0 + y6_THT_0_weights = numpy.array([0.0,3.012327,9.160563,2.394414,0.5870175,0.1699261,0.09268698,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y6_THT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$H_{T}$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y6_THT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y6_THT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_5.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_5.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_5.eps') + +# Running! +if __name__ == '__main__': + selection_5() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_50.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_50.C new file mode 100644 index 00000000..265cdc1d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_50.C @@ -0,0 +1,117 @@ +void selection_50() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo101","canvas_plotflow_tempo101",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S51_MT_0 = new TH1F("S51_MT_0","S51_MT_0",50,0.0,1000.0); + // Content + S51_MT_0->SetBinContent(0,0.0); // underflow + S51_MT_0->SetBinContent(1,7.631228); + S51_MT_0->SetBinContent(2,0.0); + S51_MT_0->SetBinContent(3,0.0); + S51_MT_0->SetBinContent(4,0.0); + S51_MT_0->SetBinContent(5,0.0); + S51_MT_0->SetBinContent(6,0.0); + S51_MT_0->SetBinContent(7,0.0); + S51_MT_0->SetBinContent(8,0.0); + S51_MT_0->SetBinContent(9,0.0); + S51_MT_0->SetBinContent(10,0.0); + S51_MT_0->SetBinContent(11,0.0); + S51_MT_0->SetBinContent(12,0.0); + S51_MT_0->SetBinContent(13,0.0); + S51_MT_0->SetBinContent(14,0.0); + S51_MT_0->SetBinContent(15,0.0); + S51_MT_0->SetBinContent(16,0.0); + S51_MT_0->SetBinContent(17,0.0); + S51_MT_0->SetBinContent(18,0.0); + S51_MT_0->SetBinContent(19,0.0); + S51_MT_0->SetBinContent(20,0.0); + S51_MT_0->SetBinContent(21,0.0); + S51_MT_0->SetBinContent(22,0.0); + S51_MT_0->SetBinContent(23,0.0); + S51_MT_0->SetBinContent(24,0.0); + S51_MT_0->SetBinContent(25,0.0); + S51_MT_0->SetBinContent(26,0.0); + S51_MT_0->SetBinContent(27,0.0); + S51_MT_0->SetBinContent(28,0.0); + S51_MT_0->SetBinContent(29,0.0); + S51_MT_0->SetBinContent(30,0.0); + S51_MT_0->SetBinContent(31,0.0); + S51_MT_0->SetBinContent(32,0.0); + S51_MT_0->SetBinContent(33,0.0); + S51_MT_0->SetBinContent(34,0.0); + S51_MT_0->SetBinContent(35,0.0); + S51_MT_0->SetBinContent(36,0.0); + S51_MT_0->SetBinContent(37,0.0); + S51_MT_0->SetBinContent(38,0.0); + S51_MT_0->SetBinContent(39,0.0); + S51_MT_0->SetBinContent(40,0.0); + S51_MT_0->SetBinContent(41,0.0); + S51_MT_0->SetBinContent(42,0.0); + S51_MT_0->SetBinContent(43,0.0); + S51_MT_0->SetBinContent(44,0.0); + S51_MT_0->SetBinContent(45,0.0); + S51_MT_0->SetBinContent(46,0.0); + S51_MT_0->SetBinContent(47,0.0); + S51_MT_0->SetBinContent(48,0.0); + S51_MT_0->SetBinContent(49,0.0); + S51_MT_0->SetBinContent(50,0.0); + S51_MT_0->SetBinContent(51,0.0); // overflow + S51_MT_0->SetEntries(494); + // Style + S51_MT_0->SetLineColor(9); + S51_MT_0->SetLineStyle(1); + S51_MT_0->SetLineWidth(1); + S51_MT_0->SetFillColor(9); + S51_MT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_102","mystack"); + stack->Add(S51_MT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ mu ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_50.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_50.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_50.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_50.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_50.py new file mode 100644 index 00000000..0b05acbf --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_50.py @@ -0,0 +1,62 @@ +def selection_50(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y51_MT_0 + y51_MT_0_weights = numpy.array([7.631228,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y51_MT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ mu ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y51_MT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y51_MT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_50.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_50.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_50.eps') + +# Running! +if __name__ == '__main__': + selection_50() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_51.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_51.C new file mode 100644 index 00000000..9615b16a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_51.C @@ -0,0 +1,117 @@ +void selection_51() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo103","canvas_plotflow_tempo103",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S52_MT_MET_0 = new TH1F("S52_MT_MET_0","S52_MT_MET_0",50,0.0,1000.0); + // Content + S52_MT_MET_0->SetBinContent(0,0.0); // underflow + S52_MT_MET_0->SetBinContent(1,0.6024654); + S52_MT_MET_0->SetBinContent(2,0.8805263); + S52_MT_MET_0->SetBinContent(3,1.498439); + S52_MT_MET_0->SetBinContent(4,3.738375); + S52_MT_MET_0->SetBinContent(5,0.8959741); + S52_MT_MET_0->SetBinContent(6,0.01544783); + S52_MT_MET_0->SetBinContent(7,0.0); + S52_MT_MET_0->SetBinContent(8,0.0); + S52_MT_MET_0->SetBinContent(9,0.0); + S52_MT_MET_0->SetBinContent(10,0.0); + S52_MT_MET_0->SetBinContent(11,0.0); + S52_MT_MET_0->SetBinContent(12,0.0); + S52_MT_MET_0->SetBinContent(13,0.0); + S52_MT_MET_0->SetBinContent(14,0.0); + S52_MT_MET_0->SetBinContent(15,0.0); + S52_MT_MET_0->SetBinContent(16,0.0); + S52_MT_MET_0->SetBinContent(17,0.0); + S52_MT_MET_0->SetBinContent(18,0.0); + S52_MT_MET_0->SetBinContent(19,0.0); + S52_MT_MET_0->SetBinContent(20,0.0); + S52_MT_MET_0->SetBinContent(21,0.0); + S52_MT_MET_0->SetBinContent(22,0.0); + S52_MT_MET_0->SetBinContent(23,0.0); + S52_MT_MET_0->SetBinContent(24,0.0); + S52_MT_MET_0->SetBinContent(25,0.0); + S52_MT_MET_0->SetBinContent(26,0.0); + S52_MT_MET_0->SetBinContent(27,0.0); + S52_MT_MET_0->SetBinContent(28,0.0); + S52_MT_MET_0->SetBinContent(29,0.0); + S52_MT_MET_0->SetBinContent(30,0.0); + S52_MT_MET_0->SetBinContent(31,0.0); + S52_MT_MET_0->SetBinContent(32,0.0); + S52_MT_MET_0->SetBinContent(33,0.0); + S52_MT_MET_0->SetBinContent(34,0.0); + S52_MT_MET_0->SetBinContent(35,0.0); + S52_MT_MET_0->SetBinContent(36,0.0); + S52_MT_MET_0->SetBinContent(37,0.0); + S52_MT_MET_0->SetBinContent(38,0.0); + S52_MT_MET_0->SetBinContent(39,0.0); + S52_MT_MET_0->SetBinContent(40,0.0); + S52_MT_MET_0->SetBinContent(41,0.0); + S52_MT_MET_0->SetBinContent(42,0.0); + S52_MT_MET_0->SetBinContent(43,0.0); + S52_MT_MET_0->SetBinContent(44,0.0); + S52_MT_MET_0->SetBinContent(45,0.0); + S52_MT_MET_0->SetBinContent(46,0.0); + S52_MT_MET_0->SetBinContent(47,0.0); + S52_MT_MET_0->SetBinContent(48,0.0); + S52_MT_MET_0->SetBinContent(49,0.0); + S52_MT_MET_0->SetBinContent(50,0.0); + S52_MT_MET_0->SetBinContent(51,0.0); // overflow + S52_MT_MET_0->SetEntries(494); + // Style + S52_MT_MET_0->SetLineColor(9); + S52_MT_MET_0->SetLineStyle(1); + S52_MT_MET_0->SetLineWidth(1); + S52_MT_MET_0->SetFillColor(9); + S52_MT_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_104","mystack"); + stack->Add(S52_MT_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ mu ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_51.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_51.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_51.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_51.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_51.py new file mode 100644 index 00000000..16ccab0a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_51.py @@ -0,0 +1,62 @@ +def selection_51(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y52_MT_MET_0 + y52_MT_MET_0_weights = numpy.array([0.6024654,0.8805263,1.498439,3.738375,0.8959741,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y52_MT_MET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ mu ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y52_MT_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y52_MT_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_51.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_51.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_51.eps') + +# Running! +if __name__ == '__main__': + selection_51() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_52.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_52.C new file mode 100644 index 00000000..60cb2ee4 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_52.C @@ -0,0 +1,117 @@ +void selection_52() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo105","canvas_plotflow_tempo105",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S53_P_0 = new TH1F("S53_P_0","S53_P_0",50,0.0,2000.0); + // Content + S53_P_0->SetBinContent(0,0.0); // underflow + S53_P_0->SetBinContent(1,2.193592); + S53_P_0->SetBinContent(2,2.70337); + S53_P_0->SetBinContent(3,1.174035); + S53_P_0->SetBinContent(4,0.5870175); + S53_P_0->SetBinContent(5,0.3707479); + S53_P_0->SetBinContent(6,0.3089566); + S53_P_0->SetBinContent(7,0.1235826); + S53_P_0->SetBinContent(8,0.1081348); + S53_P_0->SetBinContent(9,0.01544783); + S53_P_0->SetBinContent(10,0.01544783); + S53_P_0->SetBinContent(11,0.01544783); + S53_P_0->SetBinContent(12,0.0); + S53_P_0->SetBinContent(13,0.0); + S53_P_0->SetBinContent(14,0.0); + S53_P_0->SetBinContent(15,0.01544783); + S53_P_0->SetBinContent(16,0.0); + S53_P_0->SetBinContent(17,0.0); + S53_P_0->SetBinContent(18,0.0); + S53_P_0->SetBinContent(19,0.0); + S53_P_0->SetBinContent(20,0.0); + S53_P_0->SetBinContent(21,0.0); + S53_P_0->SetBinContent(22,0.0); + S53_P_0->SetBinContent(23,0.0); + S53_P_0->SetBinContent(24,0.0); + S53_P_0->SetBinContent(25,0.0); + S53_P_0->SetBinContent(26,0.0); + S53_P_0->SetBinContent(27,0.0); + S53_P_0->SetBinContent(28,0.0); + S53_P_0->SetBinContent(29,0.0); + S53_P_0->SetBinContent(30,0.0); + S53_P_0->SetBinContent(31,0.0); + S53_P_0->SetBinContent(32,0.0); + S53_P_0->SetBinContent(33,0.0); + S53_P_0->SetBinContent(34,0.0); + S53_P_0->SetBinContent(35,0.0); + S53_P_0->SetBinContent(36,0.0); + S53_P_0->SetBinContent(37,0.0); + S53_P_0->SetBinContent(38,0.0); + S53_P_0->SetBinContent(39,0.0); + S53_P_0->SetBinContent(40,0.0); + S53_P_0->SetBinContent(41,0.0); + S53_P_0->SetBinContent(42,0.0); + S53_P_0->SetBinContent(43,0.0); + S53_P_0->SetBinContent(44,0.0); + S53_P_0->SetBinContent(45,0.0); + S53_P_0->SetBinContent(46,0.0); + S53_P_0->SetBinContent(47,0.0); + S53_P_0->SetBinContent(48,0.0); + S53_P_0->SetBinContent(49,0.0); + S53_P_0->SetBinContent(50,0.0); + S53_P_0->SetBinContent(51,0.0); // overflow + S53_P_0->SetEntries(494); + // Style + S53_P_0->SetLineColor(9); + S53_P_0->SetLineStyle(1); + S53_P_0->SetLineWidth(1); + S53_P_0->SetFillColor(9); + S53_P_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_106","mystack"); + stack->Add(S53_P_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p [ mu ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_52.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_52.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_52.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_52.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_52.py new file mode 100644 index 00000000..60a2b680 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_52.py @@ -0,0 +1,62 @@ +def selection_52(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y53_P_0 + y53_P_0_weights = numpy.array([2.193592,2.70337,1.174035,0.5870175,0.3707479,0.3089566,0.1235826,0.1081348,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y53_P_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p$ $[ mu ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y53_P_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y53_P_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_52.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_52.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_52.eps') + +# Running! +if __name__ == '__main__': + selection_52() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_53.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_53.C new file mode 100644 index 00000000..3f91d4a6 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_53.C @@ -0,0 +1,117 @@ +void selection_53() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo107","canvas_plotflow_tempo107",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S54_PX_0 = new TH1F("S54_PX_0","S54_PX_0",50,-1000.0,1000.0); + // Content + S54_PX_0->SetBinContent(0,0.0); // underflow + S54_PX_0->SetBinContent(1,0.0); + S54_PX_0->SetBinContent(2,0.0); + S54_PX_0->SetBinContent(3,0.0); + S54_PX_0->SetBinContent(4,0.0); + S54_PX_0->SetBinContent(5,0.0); + S54_PX_0->SetBinContent(6,0.0); + S54_PX_0->SetBinContent(7,0.0); + S54_PX_0->SetBinContent(8,0.0); + S54_PX_0->SetBinContent(9,0.0); + S54_PX_0->SetBinContent(10,0.0); + S54_PX_0->SetBinContent(11,0.0); + S54_PX_0->SetBinContent(12,0.0); + S54_PX_0->SetBinContent(13,0.0); + S54_PX_0->SetBinContent(14,0.0); + S54_PX_0->SetBinContent(15,0.0); + S54_PX_0->SetBinContent(16,0.0); + S54_PX_0->SetBinContent(17,0.0); + S54_PX_0->SetBinContent(18,0.0); + S54_PX_0->SetBinContent(19,0.0); + S54_PX_0->SetBinContent(20,0.0); + S54_PX_0->SetBinContent(21,0.03089566); + S54_PX_0->SetBinContent(22,0.0); + S54_PX_0->SetBinContent(23,0.1544783); + S54_PX_0->SetBinContent(24,0.7106002); + S54_PX_0->SetBinContent(25,2.888744); + S54_PX_0->SetBinContent(26,2.718818); + S54_PX_0->SetBinContent(27,0.8805263); + S54_PX_0->SetBinContent(28,0.1699261); + S54_PX_0->SetBinContent(29,0.04634349); + S54_PX_0->SetBinContent(30,0.03089566); + S54_PX_0->SetBinContent(31,0.0); + S54_PX_0->SetBinContent(32,0.0); + S54_PX_0->SetBinContent(33,0.0); + S54_PX_0->SetBinContent(34,0.0); + S54_PX_0->SetBinContent(35,0.0); + S54_PX_0->SetBinContent(36,0.0); + S54_PX_0->SetBinContent(37,0.0); + S54_PX_0->SetBinContent(38,0.0); + S54_PX_0->SetBinContent(39,0.0); + S54_PX_0->SetBinContent(40,0.0); + S54_PX_0->SetBinContent(41,0.0); + S54_PX_0->SetBinContent(42,0.0); + S54_PX_0->SetBinContent(43,0.0); + S54_PX_0->SetBinContent(44,0.0); + S54_PX_0->SetBinContent(45,0.0); + S54_PX_0->SetBinContent(46,0.0); + S54_PX_0->SetBinContent(47,0.0); + S54_PX_0->SetBinContent(48,0.0); + S54_PX_0->SetBinContent(49,0.0); + S54_PX_0->SetBinContent(50,0.0); + S54_PX_0->SetBinContent(51,0.0); // overflow + S54_PX_0->SetEntries(494); + // Style + S54_PX_0->SetLineColor(9); + S54_PX_0->SetLineStyle(1); + S54_PX_0->SetLineWidth(1); + S54_PX_0->SetFillColor(9); + S54_PX_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_108","mystack"); + stack->Add(S54_PX_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{x} [ mu ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_53.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_53.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_53.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_53.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_53.py new file mode 100644 index 00000000..2d8a050e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_53.py @@ -0,0 +1,62 @@ +def selection_53(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) + + # Creating weights for histo: y54_PX_0 + y54_PX_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03089566,0.0,0.1544783,0.7106002,2.888744,2.718818,0.8805263,0.1699261,0.04634349,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y54_PX_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{x}$ $[ mu ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y54_PX_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y54_PX_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_53.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_53.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_53.eps') + +# Running! +if __name__ == '__main__': + selection_53() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_54.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_54.C new file mode 100644 index 00000000..8cadde06 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_54.C @@ -0,0 +1,117 @@ +void selection_54() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo109","canvas_plotflow_tempo109",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S55_PY_0 = new TH1F("S55_PY_0","S55_PY_0",50,-1000.0,1000.0); + // Content + S55_PY_0->SetBinContent(0,0.0); // underflow + S55_PY_0->SetBinContent(1,0.0); + S55_PY_0->SetBinContent(2,0.0); + S55_PY_0->SetBinContent(3,0.0); + S55_PY_0->SetBinContent(4,0.0); + S55_PY_0->SetBinContent(5,0.0); + S55_PY_0->SetBinContent(6,0.0); + S55_PY_0->SetBinContent(7,0.0); + S55_PY_0->SetBinContent(8,0.0); + S55_PY_0->SetBinContent(9,0.0); + S55_PY_0->SetBinContent(10,0.0); + S55_PY_0->SetBinContent(11,0.0); + S55_PY_0->SetBinContent(12,0.0); + S55_PY_0->SetBinContent(13,0.0); + S55_PY_0->SetBinContent(14,0.0); + S55_PY_0->SetBinContent(15,0.0); + S55_PY_0->SetBinContent(16,0.0); + S55_PY_0->SetBinContent(17,0.0); + S55_PY_0->SetBinContent(18,0.0); + S55_PY_0->SetBinContent(19,0.0); + S55_PY_0->SetBinContent(20,0.01544783); + S55_PY_0->SetBinContent(21,0.0); + S55_PY_0->SetBinContent(22,0.01544783); + S55_PY_0->SetBinContent(23,0.09268698); + S55_PY_0->SetBinContent(24,0.8650785); + S55_PY_0->SetBinContent(25,2.873296); + S55_PY_0->SetBinContent(26,2.796057); + S55_PY_0->SetBinContent(27,0.7878393); + S55_PY_0->SetBinContent(28,0.1081348); + S55_PY_0->SetBinContent(29,0.04634349); + S55_PY_0->SetBinContent(30,0.03089566); + S55_PY_0->SetBinContent(31,0.0); + S55_PY_0->SetBinContent(32,0.0); + S55_PY_0->SetBinContent(33,0.0); + S55_PY_0->SetBinContent(34,0.0); + S55_PY_0->SetBinContent(35,0.0); + S55_PY_0->SetBinContent(36,0.0); + S55_PY_0->SetBinContent(37,0.0); + S55_PY_0->SetBinContent(38,0.0); + S55_PY_0->SetBinContent(39,0.0); + S55_PY_0->SetBinContent(40,0.0); + S55_PY_0->SetBinContent(41,0.0); + S55_PY_0->SetBinContent(42,0.0); + S55_PY_0->SetBinContent(43,0.0); + S55_PY_0->SetBinContent(44,0.0); + S55_PY_0->SetBinContent(45,0.0); + S55_PY_0->SetBinContent(46,0.0); + S55_PY_0->SetBinContent(47,0.0); + S55_PY_0->SetBinContent(48,0.0); + S55_PY_0->SetBinContent(49,0.0); + S55_PY_0->SetBinContent(50,0.0); + S55_PY_0->SetBinContent(51,0.0); // overflow + S55_PY_0->SetEntries(494); + // Style + S55_PY_0->SetLineColor(9); + S55_PY_0->SetLineStyle(1); + S55_PY_0->SetLineWidth(1); + S55_PY_0->SetFillColor(9); + S55_PY_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_110","mystack"); + stack->Add(S55_PY_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{y} [ mu ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_54.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_54.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_54.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_54.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_54.py new file mode 100644 index 00000000..45604227 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_54.py @@ -0,0 +1,62 @@ +def selection_54(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) + + # Creating weights for histo: y55_PY_0 + y55_PY_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.01544783,0.09268698,0.8650785,2.873296,2.796057,0.7878393,0.1081348,0.04634349,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y55_PY_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{y}$ $[ mu ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y55_PY_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y55_PY_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_54.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_54.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_54.eps') + +# Running! +if __name__ == '__main__': + selection_54() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_55.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_55.C new file mode 100644 index 00000000..ec6f26e8 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_55.C @@ -0,0 +1,117 @@ +void selection_55() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo111","canvas_plotflow_tempo111",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S56_PZ_0 = new TH1F("S56_PZ_0","S56_PZ_0",50,-2000.0,2000.0); + // Content + S56_PZ_0->SetBinContent(0,0.0); // underflow + S56_PZ_0->SetBinContent(1,0.0); + S56_PZ_0->SetBinContent(2,0.0); + S56_PZ_0->SetBinContent(3,0.0); + S56_PZ_0->SetBinContent(4,0.0); + S56_PZ_0->SetBinContent(5,0.0); + S56_PZ_0->SetBinContent(6,0.0); + S56_PZ_0->SetBinContent(7,0.0); + S56_PZ_0->SetBinContent(8,0.0); + S56_PZ_0->SetBinContent(9,0.0); + S56_PZ_0->SetBinContent(10,0.0); + S56_PZ_0->SetBinContent(11,0.0); + S56_PZ_0->SetBinContent(12,0.0); + S56_PZ_0->SetBinContent(13,0.0); + S56_PZ_0->SetBinContent(14,0.0); + S56_PZ_0->SetBinContent(15,0.0); + S56_PZ_0->SetBinContent(16,0.0); + S56_PZ_0->SetBinContent(17,0.0); + S56_PZ_0->SetBinContent(18,0.0); + S56_PZ_0->SetBinContent(19,0.01544783); + S56_PZ_0->SetBinContent(20,0.01544783); + S56_PZ_0->SetBinContent(21,0.01544783); + S56_PZ_0->SetBinContent(22,0.06179132); + S56_PZ_0->SetBinContent(23,0.2780609); + S56_PZ_0->SetBinContent(24,0.540674); + S56_PZ_0->SetBinContent(25,2.626131); + S56_PZ_0->SetBinContent(26,3.151357); + S56_PZ_0->SetBinContent(27,0.5561219); + S56_PZ_0->SetBinContent(28,0.2935088); + S56_PZ_0->SetBinContent(29,0.07723915); + S56_PZ_0->SetBinContent(30,0.0); + S56_PZ_0->SetBinContent(31,0.0); + S56_PZ_0->SetBinContent(32,0.0); + S56_PZ_0->SetBinContent(33,0.0); + S56_PZ_0->SetBinContent(34,0.0); + S56_PZ_0->SetBinContent(35,0.0); + S56_PZ_0->SetBinContent(36,0.0); + S56_PZ_0->SetBinContent(37,0.0); + S56_PZ_0->SetBinContent(38,0.0); + S56_PZ_0->SetBinContent(39,0.0); + S56_PZ_0->SetBinContent(40,0.0); + S56_PZ_0->SetBinContent(41,0.0); + S56_PZ_0->SetBinContent(42,0.0); + S56_PZ_0->SetBinContent(43,0.0); + S56_PZ_0->SetBinContent(44,0.0); + S56_PZ_0->SetBinContent(45,0.0); + S56_PZ_0->SetBinContent(46,0.0); + S56_PZ_0->SetBinContent(47,0.0); + S56_PZ_0->SetBinContent(48,0.0); + S56_PZ_0->SetBinContent(49,0.0); + S56_PZ_0->SetBinContent(50,0.0); + S56_PZ_0->SetBinContent(51,0.0); // overflow + S56_PZ_0->SetEntries(494); + // Style + S56_PZ_0->SetLineColor(9); + S56_PZ_0->SetLineStyle(1); + S56_PZ_0->SetLineWidth(1); + S56_PZ_0->SetFillColor(9); + S56_PZ_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_112","mystack"); + stack->Add(S56_PZ_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{z} [ mu ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_55.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_55.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_55.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_55.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_55.py new file mode 100644 index 00000000..0078a1b8 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_55.py @@ -0,0 +1,62 @@ +def selection_55(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-2000.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-1960.0,-1880.0,-1800.0,-1720.0,-1640.0,-1560.0,-1480.0,-1400.0,-1320.0,-1240.0,-1160.0,-1080.0,-1000.0,-920.0,-840.0,-760.0,-680.0,-600.0,-520.0,-440.0,-360.0,-280.0,-200.0,-120.0,-40.0,40.0,120.0,200.0,280.0,360.0,440.0,520.0,600.0,680.0,760.0,840.0,920.0,1000.0,1080.0,1160.0,1240.0,1320.0,1400.0,1480.0,1560.0,1640.0,1720.0,1800.0,1880.0,1960.0]) + + # Creating weights for histo: y56_PZ_0 + y56_PZ_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.01544783,0.01544783,0.06179132,0.2780609,0.540674,2.626131,3.151357,0.5561219,0.2935088,0.07723915,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y56_PZ_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{z}$ $[ mu ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y56_PZ_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y56_PZ_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_55.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_55.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_55.eps') + +# Running! +if __name__ == '__main__': + selection_55() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_56.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_56.C new file mode 100644 index 00000000..40289018 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_56.C @@ -0,0 +1,117 @@ +void selection_56() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo113","canvas_plotflow_tempo113",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S57_R_0 = new TH1F("S57_R_0","S57_R_0",50,0.0,10.0); + // Content + S57_R_0->SetBinContent(0,0.0); // underflow + S57_R_0->SetBinContent(1,0.06179132); + S57_R_0->SetBinContent(2,0.2008218); + S57_R_0->SetBinContent(3,0.2471653); + S57_R_0->SetBinContent(4,0.3861957); + S57_R_0->SetBinContent(5,0.4325392); + S57_R_0->SetBinContent(6,0.3861957); + S57_R_0->SetBinContent(7,0.4325392); + S57_R_0->SetBinContent(8,0.5715697); + S57_R_0->SetBinContent(9,0.5870175); + S57_R_0->SetBinContent(10,0.5715697); + S57_R_0->SetBinContent(11,0.6642567); + S57_R_0->SetBinContent(12,0.5715697); + S57_R_0->SetBinContent(13,0.5870175); + S57_R_0->SetBinContent(14,0.5252262); + S57_R_0->SetBinContent(15,0.3398523); + S57_R_0->SetBinContent(16,0.5252262); + S57_R_0->SetBinContent(17,0.2008218); + S57_R_0->SetBinContent(18,0.2317174); + S57_R_0->SetBinContent(19,0.1081348); + S57_R_0->SetBinContent(20,0.0); + S57_R_0->SetBinContent(21,0.0); + S57_R_0->SetBinContent(22,0.0); + S57_R_0->SetBinContent(23,0.0); + S57_R_0->SetBinContent(24,0.0); + S57_R_0->SetBinContent(25,0.0); + S57_R_0->SetBinContent(26,0.0); + S57_R_0->SetBinContent(27,0.0); + S57_R_0->SetBinContent(28,0.0); + S57_R_0->SetBinContent(29,0.0); + S57_R_0->SetBinContent(30,0.0); + S57_R_0->SetBinContent(31,0.0); + S57_R_0->SetBinContent(32,0.0); + S57_R_0->SetBinContent(33,0.0); + S57_R_0->SetBinContent(34,0.0); + S57_R_0->SetBinContent(35,0.0); + S57_R_0->SetBinContent(36,0.0); + S57_R_0->SetBinContent(37,0.0); + S57_R_0->SetBinContent(38,0.0); + S57_R_0->SetBinContent(39,0.0); + S57_R_0->SetBinContent(40,0.0); + S57_R_0->SetBinContent(41,0.0); + S57_R_0->SetBinContent(42,0.0); + S57_R_0->SetBinContent(43,0.0); + S57_R_0->SetBinContent(44,0.0); + S57_R_0->SetBinContent(45,0.0); + S57_R_0->SetBinContent(46,0.0); + S57_R_0->SetBinContent(47,0.0); + S57_R_0->SetBinContent(48,0.0); + S57_R_0->SetBinContent(49,0.0); + S57_R_0->SetBinContent(50,0.0); + S57_R_0->SetBinContent(51,0.0); // overflow + S57_R_0->SetEntries(494); + // Style + S57_R_0->SetLineColor(9); + S57_R_0->SetLineStyle(1); + S57_R_0->SetLineWidth(1); + S57_R_0->SetFillColor(9); + S57_R_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_114","mystack"); + stack->Add(S57_R_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("R [ mu ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_56.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_56.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_56.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_56.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_56.py new file mode 100644 index 00000000..4193983c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_56.py @@ -0,0 +1,62 @@ +def selection_56(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y57_R_0 + y57_R_0_weights = numpy.array([0.06179132,0.2008218,0.2471653,0.3861957,0.4325392,0.3861957,0.4325392,0.5715697,0.5870175,0.5715697,0.6642567,0.5715697,0.5870175,0.5252262,0.3398523,0.5252262,0.2008218,0.2317174,0.1081348,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y57_R_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$R$ $[ mu ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y57_R_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y57_R_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_56.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_56.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_56.eps') + +# Running! +if __name__ == '__main__': + selection_56() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_57.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_57.C new file mode 100644 index 00000000..c6a88512 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_57.C @@ -0,0 +1,117 @@ +void selection_57() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo115","canvas_plotflow_tempo115",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S58_Y_0 = new TH1F("S58_Y_0","S58_Y_0",50,-8.0,8.0); + // Content + S58_Y_0->SetBinContent(0,0.0); // underflow + S58_Y_0->SetBinContent(1,0.0); + S58_Y_0->SetBinContent(2,0.0); + S58_Y_0->SetBinContent(3,0.0); + S58_Y_0->SetBinContent(4,0.0); + S58_Y_0->SetBinContent(5,0.0); + S58_Y_0->SetBinContent(6,0.0); + S58_Y_0->SetBinContent(7,0.0); + S58_Y_0->SetBinContent(8,0.0); + S58_Y_0->SetBinContent(9,0.0); + S58_Y_0->SetBinContent(10,0.0); + S58_Y_0->SetBinContent(11,0.0); + S58_Y_0->SetBinContent(12,0.0); + S58_Y_0->SetBinContent(13,0.0); + S58_Y_0->SetBinContent(14,0.0); + S58_Y_0->SetBinContent(15,0.0); + S58_Y_0->SetBinContent(16,0.0); + S58_Y_0->SetBinContent(17,0.0); + S58_Y_0->SetBinContent(18,0.1081348); + S58_Y_0->SetBinContent(19,0.2935088); + S58_Y_0->SetBinContent(20,0.3089566); + S58_Y_0->SetBinContent(21,0.4170914); + S58_Y_0->SetBinContent(22,0.4788827); + S58_Y_0->SetBinContent(23,0.6024654); + S58_Y_0->SetBinContent(24,0.726048); + S58_Y_0->SetBinContent(25,0.6179132); + S58_Y_0->SetBinContent(26,0.8959741); + S58_Y_0->SetBinContent(27,0.726048); + S58_Y_0->SetBinContent(28,0.6797045); + S58_Y_0->SetBinContent(29,0.6488089); + S58_Y_0->SetBinContent(30,0.4479871); + S58_Y_0->SetBinContent(31,0.3707479); + S58_Y_0->SetBinContent(32,0.185374); + S58_Y_0->SetBinContent(33,0.1235826); + S58_Y_0->SetBinContent(34,0.0); + S58_Y_0->SetBinContent(35,0.0); + S58_Y_0->SetBinContent(36,0.0); + S58_Y_0->SetBinContent(37,0.0); + S58_Y_0->SetBinContent(38,0.0); + S58_Y_0->SetBinContent(39,0.0); + S58_Y_0->SetBinContent(40,0.0); + S58_Y_0->SetBinContent(41,0.0); + S58_Y_0->SetBinContent(42,0.0); + S58_Y_0->SetBinContent(43,0.0); + S58_Y_0->SetBinContent(44,0.0); + S58_Y_0->SetBinContent(45,0.0); + S58_Y_0->SetBinContent(46,0.0); + S58_Y_0->SetBinContent(47,0.0); + S58_Y_0->SetBinContent(48,0.0); + S58_Y_0->SetBinContent(49,0.0); + S58_Y_0->SetBinContent(50,0.0); + S58_Y_0->SetBinContent(51,0.0); // overflow + S58_Y_0->SetEntries(494); + // Style + S58_Y_0->SetLineColor(9); + S58_Y_0->SetLineStyle(1); + S58_Y_0->SetLineWidth(1); + S58_Y_0->SetFillColor(9); + S58_Y_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_116","mystack"); + stack->Add(S58_Y_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("y [ mu ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_57.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_57.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_57.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_57.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_57.py new file mode 100644 index 00000000..00fdfafe --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_57.py @@ -0,0 +1,62 @@ +def selection_57(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y58_Y_0 + y58_Y_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1081348,0.2935088,0.3089566,0.4170914,0.4788827,0.6024654,0.726048,0.6179132,0.8959741,0.726048,0.6797045,0.6488089,0.4479871,0.3707479,0.185374,0.1235826,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y58_Y_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$y$ $[ mu ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y58_Y_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y58_Y_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_57.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_57.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_57.eps') + +# Running! +if __name__ == '__main__': + selection_57() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_58.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_58.C new file mode 100644 index 00000000..d163fbc3 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_58.C @@ -0,0 +1,117 @@ +void selection_58() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo117","canvas_plotflow_tempo117",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S59_BETA_0 = new TH1F("S59_BETA_0","S59_BETA_0",50,0.0,1.2); + // Content + S59_BETA_0->SetBinContent(0,0.0); // underflow + S59_BETA_0->SetBinContent(1,0.0); + S59_BETA_0->SetBinContent(2,0.0); + S59_BETA_0->SetBinContent(3,0.0); + S59_BETA_0->SetBinContent(4,0.0); + S59_BETA_0->SetBinContent(5,0.0); + S59_BETA_0->SetBinContent(6,0.0); + S59_BETA_0->SetBinContent(7,0.0); + S59_BETA_0->SetBinContent(8,0.0); + S59_BETA_0->SetBinContent(9,0.0); + S59_BETA_0->SetBinContent(10,0.0); + S59_BETA_0->SetBinContent(11,0.0); + S59_BETA_0->SetBinContent(12,0.0); + S59_BETA_0->SetBinContent(13,0.0); + S59_BETA_0->SetBinContent(14,0.0); + S59_BETA_0->SetBinContent(15,0.0); + S59_BETA_0->SetBinContent(16,0.0); + S59_BETA_0->SetBinContent(17,0.0); + S59_BETA_0->SetBinContent(18,0.0); + S59_BETA_0->SetBinContent(19,0.0); + S59_BETA_0->SetBinContent(20,0.0); + S59_BETA_0->SetBinContent(21,0.0); + S59_BETA_0->SetBinContent(22,0.0); + S59_BETA_0->SetBinContent(23,0.0); + S59_BETA_0->SetBinContent(24,0.0); + S59_BETA_0->SetBinContent(25,0.0); + S59_BETA_0->SetBinContent(26,0.0); + S59_BETA_0->SetBinContent(27,0.0); + S59_BETA_0->SetBinContent(28,0.0); + S59_BETA_0->SetBinContent(29,0.0); + S59_BETA_0->SetBinContent(30,0.0); + S59_BETA_0->SetBinContent(31,0.0); + S59_BETA_0->SetBinContent(32,0.0); + S59_BETA_0->SetBinContent(33,0.0); + S59_BETA_0->SetBinContent(34,0.0); + S59_BETA_0->SetBinContent(35,0.0); + S59_BETA_0->SetBinContent(36,0.0); + S59_BETA_0->SetBinContent(37,0.0); + S59_BETA_0->SetBinContent(38,0.0); + S59_BETA_0->SetBinContent(39,0.0); + S59_BETA_0->SetBinContent(40,0.0); + S59_BETA_0->SetBinContent(41,0.0); + S59_BETA_0->SetBinContent(42,7.631228); + S59_BETA_0->SetBinContent(43,0.0); + S59_BETA_0->SetBinContent(44,0.0); + S59_BETA_0->SetBinContent(45,0.0); + S59_BETA_0->SetBinContent(46,0.0); + S59_BETA_0->SetBinContent(47,0.0); + S59_BETA_0->SetBinContent(48,0.0); + S59_BETA_0->SetBinContent(49,0.0); + S59_BETA_0->SetBinContent(50,0.0); + S59_BETA_0->SetBinContent(51,0.0); // overflow + S59_BETA_0->SetEntries(494); + // Style + S59_BETA_0->SetLineColor(9); + S59_BETA_0->SetLineStyle(1); + S59_BETA_0->SetLineWidth(1); + S59_BETA_0->SetFillColor(9); + S59_BETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_118","mystack"); + stack->Add(S59_BETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#beta [ mu ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_58.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_58.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_58.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_58.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_58.py new file mode 100644 index 00000000..b9bc1fb8 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_58.py @@ -0,0 +1,62 @@ +def selection_58(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1.2,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.012,0.036000000000000004,0.06,0.084,0.108,0.132,0.156,0.18,0.20400000000000001,0.228,0.252,0.276,0.3,0.324,0.34800000000000003,0.372,0.396,0.42,0.444,0.468,0.492,0.516,0.54,0.5640000000000001,0.588,0.612,0.636,0.66,0.684,0.708,0.732,0.756,0.78,0.804,0.8280000000000001,0.852,0.876,0.9,0.924,0.9480000000000001,0.972,0.996,1.02,1.044,1.068,1.092,1.116,1.1400000000000001,1.164,1.188]) + + # Creating weights for histo: y59_BETA_0 + y59_BETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.631228,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y59_BETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\beta$ $[ mu ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y59_BETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y59_BETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_58.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_58.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_58.eps') + +# Running! +if __name__ == '__main__': + selection_58() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_59.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_59.C new file mode 100644 index 00000000..33c4a741 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_59.C @@ -0,0 +1,117 @@ +void selection_59() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo119","canvas_plotflow_tempo119",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S60_GAMMA_0 = new TH1F("S60_GAMMA_0","S60_GAMMA_0",50,1.0,100.0); + // Content + S60_GAMMA_0->SetBinContent(0,0.0); // underflow + S60_GAMMA_0->SetBinContent(1,3.63024); + S60_GAMMA_0->SetBinContent(2,0.0); + S60_GAMMA_0->SetBinContent(3,0.0); + S60_GAMMA_0->SetBinContent(4,0.0); + S60_GAMMA_0->SetBinContent(5,0.0); + S60_GAMMA_0->SetBinContent(6,0.0); + S60_GAMMA_0->SetBinContent(7,0.0); + S60_GAMMA_0->SetBinContent(8,0.0); + S60_GAMMA_0->SetBinContent(9,0.0); + S60_GAMMA_0->SetBinContent(10,0.0); + S60_GAMMA_0->SetBinContent(11,0.0); + S60_GAMMA_0->SetBinContent(12,0.0); + S60_GAMMA_0->SetBinContent(13,0.0); + S60_GAMMA_0->SetBinContent(14,0.0); + S60_GAMMA_0->SetBinContent(15,0.0); + S60_GAMMA_0->SetBinContent(16,0.0); + S60_GAMMA_0->SetBinContent(17,0.0); + S60_GAMMA_0->SetBinContent(18,0.0); + S60_GAMMA_0->SetBinContent(19,0.0); + S60_GAMMA_0->SetBinContent(20,0.0); + S60_GAMMA_0->SetBinContent(21,0.0); + S60_GAMMA_0->SetBinContent(22,0.0); + S60_GAMMA_0->SetBinContent(23,0.0); + S60_GAMMA_0->SetBinContent(24,0.0); + S60_GAMMA_0->SetBinContent(25,0.0); + S60_GAMMA_0->SetBinContent(26,0.0); + S60_GAMMA_0->SetBinContent(27,0.0); + S60_GAMMA_0->SetBinContent(28,0.0); + S60_GAMMA_0->SetBinContent(29,0.0); + S60_GAMMA_0->SetBinContent(30,0.0); + S60_GAMMA_0->SetBinContent(31,0.0); + S60_GAMMA_0->SetBinContent(32,0.0); + S60_GAMMA_0->SetBinContent(33,0.0); + S60_GAMMA_0->SetBinContent(34,0.0); + S60_GAMMA_0->SetBinContent(35,0.0); + S60_GAMMA_0->SetBinContent(36,0.0); + S60_GAMMA_0->SetBinContent(37,0.0); + S60_GAMMA_0->SetBinContent(38,0.0); + S60_GAMMA_0->SetBinContent(39,0.0); + S60_GAMMA_0->SetBinContent(40,0.0); + S60_GAMMA_0->SetBinContent(41,0.0); + S60_GAMMA_0->SetBinContent(42,0.0); + S60_GAMMA_0->SetBinContent(43,0.0); + S60_GAMMA_0->SetBinContent(44,0.0); + S60_GAMMA_0->SetBinContent(45,0.0); + S60_GAMMA_0->SetBinContent(46,0.0); + S60_GAMMA_0->SetBinContent(47,0.0); + S60_GAMMA_0->SetBinContent(48,0.0); + S60_GAMMA_0->SetBinContent(49,0.0); + S60_GAMMA_0->SetBinContent(50,0.0); + S60_GAMMA_0->SetBinContent(51,4.000988); // overflow + S60_GAMMA_0->SetEntries(494); + // Style + S60_GAMMA_0->SetLineColor(9); + S60_GAMMA_0->SetLineStyle(1); + S60_GAMMA_0->SetLineWidth(1); + S60_GAMMA_0->SetFillColor(9); + S60_GAMMA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_120","mystack"); + stack->Add(S60_GAMMA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#gamma [ mu ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_59.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_59.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_59.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_59.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_59.py new file mode 100644 index 00000000..4a1bb92a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_59.py @@ -0,0 +1,62 @@ +def selection_59(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(1.0,100.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([1.99,3.9699999999999998,5.95,7.93,9.91,11.89,13.87,15.85,17.83,19.81,21.79,23.77,25.75,27.73,29.71,31.69,33.67,35.65,37.63,39.61,41.589999999999996,43.57,45.55,47.53,49.51,51.49,53.47,55.45,57.43,59.41,61.39,63.37,65.35,67.33,69.31,71.29,73.27,75.25,77.23,79.21,81.19,83.17,85.15,87.13,89.11,91.09,93.07,95.05,97.03,99.01]) + + # Creating weights for histo: y60_GAMMA_0 + y60_GAMMA_0_weights = numpy.array([3.63024,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y60_GAMMA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\gamma$ $[ mu ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y60_GAMMA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y60_GAMMA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_59.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_59.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_59.eps') + +# Running! +if __name__ == '__main__': + selection_59() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_6.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_6.C new file mode 100644 index 00000000..402c0eda --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_6.C @@ -0,0 +1,117 @@ +void selection_6() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo13","canvas_plotflow_tempo13",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S7_MET_0 = new TH1F("S7_MET_0","S7_MET_0",50,0.0,1500.0); + // Content + S7_MET_0->SetBinContent(0,0.0); // underflow + S7_MET_0->SetBinContent(1,3.444866); + S7_MET_0->SetBinContent(2,5.870175); + S7_MET_0->SetBinContent(3,3.553001); + S7_MET_0->SetBinContent(4,1.467544); + S7_MET_0->SetBinContent(5,0.7106002); + S7_MET_0->SetBinContent(6,0.1699261); + S7_MET_0->SetBinContent(7,0.1699261); + S7_MET_0->SetBinContent(8,0.01544783); + S7_MET_0->SetBinContent(9,0.01544783); + S7_MET_0->SetBinContent(10,0.01544783); + S7_MET_0->SetBinContent(11,0.01544783); + S7_MET_0->SetBinContent(12,0.0); + S7_MET_0->SetBinContent(13,0.0); + S7_MET_0->SetBinContent(14,0.0); + S7_MET_0->SetBinContent(15,0.0); + S7_MET_0->SetBinContent(16,0.0); + S7_MET_0->SetBinContent(17,0.0); + S7_MET_0->SetBinContent(18,0.0); + S7_MET_0->SetBinContent(19,0.0); + S7_MET_0->SetBinContent(20,0.0); + S7_MET_0->SetBinContent(21,0.0); + S7_MET_0->SetBinContent(22,0.0); + S7_MET_0->SetBinContent(23,0.0); + S7_MET_0->SetBinContent(24,0.0); + S7_MET_0->SetBinContent(25,0.0); + S7_MET_0->SetBinContent(26,0.0); + S7_MET_0->SetBinContent(27,0.0); + S7_MET_0->SetBinContent(28,0.0); + S7_MET_0->SetBinContent(29,0.0); + S7_MET_0->SetBinContent(30,0.0); + S7_MET_0->SetBinContent(31,0.0); + S7_MET_0->SetBinContent(32,0.0); + S7_MET_0->SetBinContent(33,0.0); + S7_MET_0->SetBinContent(34,0.0); + S7_MET_0->SetBinContent(35,0.0); + S7_MET_0->SetBinContent(36,0.0); + S7_MET_0->SetBinContent(37,0.0); + S7_MET_0->SetBinContent(38,0.0); + S7_MET_0->SetBinContent(39,0.0); + S7_MET_0->SetBinContent(40,0.0); + S7_MET_0->SetBinContent(41,0.0); + S7_MET_0->SetBinContent(42,0.0); + S7_MET_0->SetBinContent(43,0.0); + S7_MET_0->SetBinContent(44,0.0); + S7_MET_0->SetBinContent(45,0.0); + S7_MET_0->SetBinContent(46,0.0); + S7_MET_0->SetBinContent(47,0.0); + S7_MET_0->SetBinContent(48,0.0); + S7_MET_0->SetBinContent(49,0.0); + S7_MET_0->SetBinContent(50,0.0); + S7_MET_0->SetBinContent(51,0.0); // overflow + S7_MET_0->SetEntries(1000); + // Style + S7_MET_0->SetLineColor(9); + S7_MET_0->SetLineStyle(1); + S7_MET_0->SetLineWidth(1); + S7_MET_0->SetFillColor(9); + S7_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_14","mystack"); + stack->Add(S7_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#slash{E}_{T} (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_6.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_6.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_6.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_6.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_6.py new file mode 100644 index 00000000..7f10c337 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_6.py @@ -0,0 +1,62 @@ +def selection_6(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) + + # Creating weights for histo: y7_MET_0 + y7_MET_0_weights = numpy.array([3.444866,5.870175,3.553001,1.467544,0.7106002,0.1699261,0.1699261,0.01544783,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y7_MET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\slash{E}_{T}$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y7_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y7_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_6.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_6.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_6.eps') + +# Running! +if __name__ == '__main__': + selection_6() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_60.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_60.C new file mode 100644 index 00000000..c0c10935 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_60.C @@ -0,0 +1,117 @@ +void selection_60() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo121","canvas_plotflow_tempo121",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S61_PT_0 = new TH1F("S61_PT_0","S61_PT_0",50,0.0,1000.0); + // Content + S61_PT_0->SetBinContent(0,0.0); // underflow + S61_PT_0->SetBinContent(1,1.174035); + S61_PT_0->SetBinContent(2,2.641579); + S61_PT_0->SetBinContent(3,1.7765); + S61_PT_0->SetBinContent(4,1.004109); + S61_PT_0->SetBinContent(5,0.4943306); + S61_PT_0->SetBinContent(6,0.3089566); + S61_PT_0->SetBinContent(7,0.09268698); + S61_PT_0->SetBinContent(8,0.01544783); + S61_PT_0->SetBinContent(9,0.04634349); + S61_PT_0->SetBinContent(10,0.03089566); + S61_PT_0->SetBinContent(11,0.03089566); + S61_PT_0->SetBinContent(12,0.01544783); + S61_PT_0->SetBinContent(13,0.0); + S61_PT_0->SetBinContent(14,0.0); + S61_PT_0->SetBinContent(15,0.0); + S61_PT_0->SetBinContent(16,0.0); + S61_PT_0->SetBinContent(17,0.0); + S61_PT_0->SetBinContent(18,0.0); + S61_PT_0->SetBinContent(19,0.0); + S61_PT_0->SetBinContent(20,0.0); + S61_PT_0->SetBinContent(21,0.0); + S61_PT_0->SetBinContent(22,0.0); + S61_PT_0->SetBinContent(23,0.0); + S61_PT_0->SetBinContent(24,0.0); + S61_PT_0->SetBinContent(25,0.0); + S61_PT_0->SetBinContent(26,0.0); + S61_PT_0->SetBinContent(27,0.0); + S61_PT_0->SetBinContent(28,0.0); + S61_PT_0->SetBinContent(29,0.0); + S61_PT_0->SetBinContent(30,0.0); + S61_PT_0->SetBinContent(31,0.0); + S61_PT_0->SetBinContent(32,0.0); + S61_PT_0->SetBinContent(33,0.0); + S61_PT_0->SetBinContent(34,0.0); + S61_PT_0->SetBinContent(35,0.0); + S61_PT_0->SetBinContent(36,0.0); + S61_PT_0->SetBinContent(37,0.0); + S61_PT_0->SetBinContent(38,0.0); + S61_PT_0->SetBinContent(39,0.0); + S61_PT_0->SetBinContent(40,0.0); + S61_PT_0->SetBinContent(41,0.0); + S61_PT_0->SetBinContent(42,0.0); + S61_PT_0->SetBinContent(43,0.0); + S61_PT_0->SetBinContent(44,0.0); + S61_PT_0->SetBinContent(45,0.0); + S61_PT_0->SetBinContent(46,0.0); + S61_PT_0->SetBinContent(47,0.0); + S61_PT_0->SetBinContent(48,0.0); + S61_PT_0->SetBinContent(49,0.0); + S61_PT_0->SetBinContent(50,0.0); + S61_PT_0->SetBinContent(51,0.0); // overflow + S61_PT_0->SetEntries(494); + // Style + S61_PT_0->SetLineColor(9); + S61_PT_0->SetLineStyle(1); + S61_PT_0->SetLineWidth(1); + S61_PT_0->SetFillColor(9); + S61_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_122","mystack"); + stack->Add(S61_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ mu_{1} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_60.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_60.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_60.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_60.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_60.py new file mode 100644 index 00000000..a17deb95 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_60.py @@ -0,0 +1,62 @@ +def selection_60(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y61_PT_0 + y61_PT_0_weights = numpy.array([1.174035,2.641579,1.7765,1.004109,0.4943306,0.3089566,0.09268698,0.01544783,0.04634349,0.03089566,0.03089566,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y61_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ mu_{1} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y61_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y61_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_60.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_60.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_60.eps') + +# Running! +if __name__ == '__main__': + selection_60() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_61.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_61.C new file mode 100644 index 00000000..35dea86f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_61.C @@ -0,0 +1,117 @@ +void selection_61() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo123","canvas_plotflow_tempo123",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S62_ETA_0 = new TH1F("S62_ETA_0","S62_ETA_0",50,-8.0,8.0); + // Content + S62_ETA_0->SetBinContent(0,0.0); // underflow + S62_ETA_0->SetBinContent(1,0.0); + S62_ETA_0->SetBinContent(2,0.0); + S62_ETA_0->SetBinContent(3,0.0); + S62_ETA_0->SetBinContent(4,0.0); + S62_ETA_0->SetBinContent(5,0.0); + S62_ETA_0->SetBinContent(6,0.0); + S62_ETA_0->SetBinContent(7,0.0); + S62_ETA_0->SetBinContent(8,0.0); + S62_ETA_0->SetBinContent(9,0.0); + S62_ETA_0->SetBinContent(10,0.0); + S62_ETA_0->SetBinContent(11,0.0); + S62_ETA_0->SetBinContent(12,0.0); + S62_ETA_0->SetBinContent(13,0.0); + S62_ETA_0->SetBinContent(14,0.0); + S62_ETA_0->SetBinContent(15,0.0); + S62_ETA_0->SetBinContent(16,0.0); + S62_ETA_0->SetBinContent(17,0.0); + S62_ETA_0->SetBinContent(18,0.1081348); + S62_ETA_0->SetBinContent(19,0.2935088); + S62_ETA_0->SetBinContent(20,0.3089566); + S62_ETA_0->SetBinContent(21,0.4170914); + S62_ETA_0->SetBinContent(22,0.4788827); + S62_ETA_0->SetBinContent(23,0.6024654); + S62_ETA_0->SetBinContent(24,0.726048); + S62_ETA_0->SetBinContent(25,0.6179132); + S62_ETA_0->SetBinContent(26,0.8959741); + S62_ETA_0->SetBinContent(27,0.726048); + S62_ETA_0->SetBinContent(28,0.6797045); + S62_ETA_0->SetBinContent(29,0.6488089); + S62_ETA_0->SetBinContent(30,0.4479871); + S62_ETA_0->SetBinContent(31,0.3707479); + S62_ETA_0->SetBinContent(32,0.185374); + S62_ETA_0->SetBinContent(33,0.1235826); + S62_ETA_0->SetBinContent(34,0.0); + S62_ETA_0->SetBinContent(35,0.0); + S62_ETA_0->SetBinContent(36,0.0); + S62_ETA_0->SetBinContent(37,0.0); + S62_ETA_0->SetBinContent(38,0.0); + S62_ETA_0->SetBinContent(39,0.0); + S62_ETA_0->SetBinContent(40,0.0); + S62_ETA_0->SetBinContent(41,0.0); + S62_ETA_0->SetBinContent(42,0.0); + S62_ETA_0->SetBinContent(43,0.0); + S62_ETA_0->SetBinContent(44,0.0); + S62_ETA_0->SetBinContent(45,0.0); + S62_ETA_0->SetBinContent(46,0.0); + S62_ETA_0->SetBinContent(47,0.0); + S62_ETA_0->SetBinContent(48,0.0); + S62_ETA_0->SetBinContent(49,0.0); + S62_ETA_0->SetBinContent(50,0.0); + S62_ETA_0->SetBinContent(51,0.0); // overflow + S62_ETA_0->SetEntries(494); + // Style + S62_ETA_0->SetLineColor(9); + S62_ETA_0->SetLineStyle(1); + S62_ETA_0->SetLineWidth(1); + S62_ETA_0->SetFillColor(9); + S62_ETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_124","mystack"); + stack->Add(S62_ETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#eta [ mu_{1} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_61.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_61.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_61.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_61.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_61.py new file mode 100644 index 00000000..4f9c829b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_61.py @@ -0,0 +1,62 @@ +def selection_61(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y62_ETA_0 + y62_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1081348,0.2935088,0.3089566,0.4170914,0.4788827,0.6024654,0.726048,0.6179132,0.8959741,0.726048,0.6797045,0.6488089,0.4479871,0.3707479,0.185374,0.1235826,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y62_ETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\eta$ $[ mu_{1} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y62_ETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y62_ETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_61.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_61.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_61.eps') + +# Running! +if __name__ == '__main__': + selection_61() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_62.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_62.C new file mode 100644 index 00000000..b711b14c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_62.C @@ -0,0 +1,99 @@ +void selection_62() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo125","canvas_plotflow_tempo125",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S63_PHI_0 = new TH1F("S63_PHI_0","S63_PHI_0",32,-3.2,3.2); + // Content + S63_PHI_0->SetBinContent(0,0.0); // underflow + S63_PHI_0->SetBinContent(1,0.2162696); + S63_PHI_0->SetBinContent(2,0.2317174); + S63_PHI_0->SetBinContent(3,0.2317174); + S63_PHI_0->SetBinContent(4,0.2935088); + S63_PHI_0->SetBinContent(5,0.2008218); + S63_PHI_0->SetBinContent(6,0.3553001); + S63_PHI_0->SetBinContent(7,0.185374); + S63_PHI_0->SetBinContent(8,0.2317174); + S63_PHI_0->SetBinContent(9,0.2317174); + S63_PHI_0->SetBinContent(10,0.2935088); + S63_PHI_0->SetBinContent(11,0.2626131); + S63_PHI_0->SetBinContent(12,0.2471653); + S63_PHI_0->SetBinContent(13,0.2935088); + S63_PHI_0->SetBinContent(14,0.2317174); + S63_PHI_0->SetBinContent(15,0.2162696); + S63_PHI_0->SetBinContent(16,0.1390305); + S63_PHI_0->SetBinContent(17,0.3089566); + S63_PHI_0->SetBinContent(18,0.3707479); + S63_PHI_0->SetBinContent(19,0.2780609); + S63_PHI_0->SetBinContent(20,0.3089566); + S63_PHI_0->SetBinContent(21,0.2008218); + S63_PHI_0->SetBinContent(22,0.1544783); + S63_PHI_0->SetBinContent(23,0.185374); + S63_PHI_0->SetBinContent(24,0.2008218); + S63_PHI_0->SetBinContent(25,0.2317174); + S63_PHI_0->SetBinContent(26,0.2780609); + S63_PHI_0->SetBinContent(27,0.2162696); + S63_PHI_0->SetBinContent(28,0.185374); + S63_PHI_0->SetBinContent(29,0.2162696); + S63_PHI_0->SetBinContent(30,0.1699261); + S63_PHI_0->SetBinContent(31,0.2780609); + S63_PHI_0->SetBinContent(32,0.185374); + S63_PHI_0->SetBinContent(33,0.0); // overflow + S63_PHI_0->SetEntries(494); + // Style + S63_PHI_0->SetLineColor(9); + S63_PHI_0->SetLineStyle(1); + S63_PHI_0->SetLineWidth(1); + S63_PHI_0->SetFillColor(9); + S63_PHI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_126","mystack"); + stack->Add(S63_PHI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#phi [ mu_{1} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_62.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_62.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_62.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_62.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_62.py new file mode 100644 index 00000000..4bb15b15 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_62.py @@ -0,0 +1,62 @@ +def selection_62(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) + + # Creating weights for histo: y63_PHI_0 + y63_PHI_0_weights = numpy.array([0.2162696,0.2317174,0.2317174,0.2935088,0.2008218,0.3553001,0.185374,0.2317174,0.2317174,0.2935088,0.2626131,0.2471653,0.2935088,0.2317174,0.2162696,0.1390305,0.3089566,0.3707479,0.2780609,0.3089566,0.2008218,0.1544783,0.185374,0.2008218,0.2317174,0.2780609,0.2162696,0.185374,0.2162696,0.1699261,0.2780609,0.185374]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y63_PHI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\phi$ $[ mu_{1} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y63_PHI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y63_PHI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_62.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_62.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_62.eps') + +# Running! +if __name__ == '__main__': + selection_62() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_63.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_63.C new file mode 100644 index 00000000..0c6b8365 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_63.C @@ -0,0 +1,117 @@ +void selection_63() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo127","canvas_plotflow_tempo127",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S64_E_0 = new TH1F("S64_E_0","S64_E_0",50,0.0,2000.0); + // Content + S64_E_0->SetBinContent(0,0.0); // underflow + S64_E_0->SetBinContent(1,2.193592); + S64_E_0->SetBinContent(2,2.70337); + S64_E_0->SetBinContent(3,1.174035); + S64_E_0->SetBinContent(4,0.5870175); + S64_E_0->SetBinContent(5,0.3707479); + S64_E_0->SetBinContent(6,0.3089566); + S64_E_0->SetBinContent(7,0.1235826); + S64_E_0->SetBinContent(8,0.1081348); + S64_E_0->SetBinContent(9,0.01544783); + S64_E_0->SetBinContent(10,0.01544783); + S64_E_0->SetBinContent(11,0.01544783); + S64_E_0->SetBinContent(12,0.0); + S64_E_0->SetBinContent(13,0.0); + S64_E_0->SetBinContent(14,0.0); + S64_E_0->SetBinContent(15,0.01544783); + S64_E_0->SetBinContent(16,0.0); + S64_E_0->SetBinContent(17,0.0); + S64_E_0->SetBinContent(18,0.0); + S64_E_0->SetBinContent(19,0.0); + S64_E_0->SetBinContent(20,0.0); + S64_E_0->SetBinContent(21,0.0); + S64_E_0->SetBinContent(22,0.0); + S64_E_0->SetBinContent(23,0.0); + S64_E_0->SetBinContent(24,0.0); + S64_E_0->SetBinContent(25,0.0); + S64_E_0->SetBinContent(26,0.0); + S64_E_0->SetBinContent(27,0.0); + S64_E_0->SetBinContent(28,0.0); + S64_E_0->SetBinContent(29,0.0); + S64_E_0->SetBinContent(30,0.0); + S64_E_0->SetBinContent(31,0.0); + S64_E_0->SetBinContent(32,0.0); + S64_E_0->SetBinContent(33,0.0); + S64_E_0->SetBinContent(34,0.0); + S64_E_0->SetBinContent(35,0.0); + S64_E_0->SetBinContent(36,0.0); + S64_E_0->SetBinContent(37,0.0); + S64_E_0->SetBinContent(38,0.0); + S64_E_0->SetBinContent(39,0.0); + S64_E_0->SetBinContent(40,0.0); + S64_E_0->SetBinContent(41,0.0); + S64_E_0->SetBinContent(42,0.0); + S64_E_0->SetBinContent(43,0.0); + S64_E_0->SetBinContent(44,0.0); + S64_E_0->SetBinContent(45,0.0); + S64_E_0->SetBinContent(46,0.0); + S64_E_0->SetBinContent(47,0.0); + S64_E_0->SetBinContent(48,0.0); + S64_E_0->SetBinContent(49,0.0); + S64_E_0->SetBinContent(50,0.0); + S64_E_0->SetBinContent(51,0.0); // overflow + S64_E_0->SetEntries(494); + // Style + S64_E_0->SetLineColor(9); + S64_E_0->SetLineStyle(1); + S64_E_0->SetLineWidth(1); + S64_E_0->SetFillColor(9); + S64_E_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_128","mystack"); + stack->Add(S64_E_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E [ mu_{1} ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_63.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_63.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_63.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_63.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_63.py new file mode 100644 index 00000000..623ef5d6 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_63.py @@ -0,0 +1,62 @@ +def selection_63(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y64_E_0 + y64_E_0_weights = numpy.array([2.193592,2.70337,1.174035,0.5870175,0.3707479,0.3089566,0.1235826,0.1081348,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y64_E_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E$ $[ mu_{1} ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y64_E_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y64_E_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_63.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_63.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_63.eps') + +# Running! +if __name__ == '__main__': + selection_63() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_64.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_64.C new file mode 100644 index 00000000..3ceaad84 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_64.C @@ -0,0 +1,117 @@ +void selection_64() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo129","canvas_plotflow_tempo129",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S65_MT_MET_0 = new TH1F("S65_MT_MET_0","S65_MT_MET_0",50,0.0,1000.0); + // Content + S65_MT_MET_0->SetBinContent(0,0.0); // underflow + S65_MT_MET_0->SetBinContent(1,0.6024654); + S65_MT_MET_0->SetBinContent(2,0.8805263); + S65_MT_MET_0->SetBinContent(3,1.498439); + S65_MT_MET_0->SetBinContent(4,3.738375); + S65_MT_MET_0->SetBinContent(5,0.8959741); + S65_MT_MET_0->SetBinContent(6,0.01544783); + S65_MT_MET_0->SetBinContent(7,0.0); + S65_MT_MET_0->SetBinContent(8,0.0); + S65_MT_MET_0->SetBinContent(9,0.0); + S65_MT_MET_0->SetBinContent(10,0.0); + S65_MT_MET_0->SetBinContent(11,0.0); + S65_MT_MET_0->SetBinContent(12,0.0); + S65_MT_MET_0->SetBinContent(13,0.0); + S65_MT_MET_0->SetBinContent(14,0.0); + S65_MT_MET_0->SetBinContent(15,0.0); + S65_MT_MET_0->SetBinContent(16,0.0); + S65_MT_MET_0->SetBinContent(17,0.0); + S65_MT_MET_0->SetBinContent(18,0.0); + S65_MT_MET_0->SetBinContent(19,0.0); + S65_MT_MET_0->SetBinContent(20,0.0); + S65_MT_MET_0->SetBinContent(21,0.0); + S65_MT_MET_0->SetBinContent(22,0.0); + S65_MT_MET_0->SetBinContent(23,0.0); + S65_MT_MET_0->SetBinContent(24,0.0); + S65_MT_MET_0->SetBinContent(25,0.0); + S65_MT_MET_0->SetBinContent(26,0.0); + S65_MT_MET_0->SetBinContent(27,0.0); + S65_MT_MET_0->SetBinContent(28,0.0); + S65_MT_MET_0->SetBinContent(29,0.0); + S65_MT_MET_0->SetBinContent(30,0.0); + S65_MT_MET_0->SetBinContent(31,0.0); + S65_MT_MET_0->SetBinContent(32,0.0); + S65_MT_MET_0->SetBinContent(33,0.0); + S65_MT_MET_0->SetBinContent(34,0.0); + S65_MT_MET_0->SetBinContent(35,0.0); + S65_MT_MET_0->SetBinContent(36,0.0); + S65_MT_MET_0->SetBinContent(37,0.0); + S65_MT_MET_0->SetBinContent(38,0.0); + S65_MT_MET_0->SetBinContent(39,0.0); + S65_MT_MET_0->SetBinContent(40,0.0); + S65_MT_MET_0->SetBinContent(41,0.0); + S65_MT_MET_0->SetBinContent(42,0.0); + S65_MT_MET_0->SetBinContent(43,0.0); + S65_MT_MET_0->SetBinContent(44,0.0); + S65_MT_MET_0->SetBinContent(45,0.0); + S65_MT_MET_0->SetBinContent(46,0.0); + S65_MT_MET_0->SetBinContent(47,0.0); + S65_MT_MET_0->SetBinContent(48,0.0); + S65_MT_MET_0->SetBinContent(49,0.0); + S65_MT_MET_0->SetBinContent(50,0.0); + S65_MT_MET_0->SetBinContent(51,0.0); // overflow + S65_MT_MET_0->SetEntries(494); + // Style + S65_MT_MET_0->SetLineColor(9); + S65_MT_MET_0->SetLineStyle(1); + S65_MT_MET_0->SetLineWidth(1); + S65_MT_MET_0->SetFillColor(9); + S65_MT_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_130","mystack"); + stack->Add(S65_MT_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ mu_{1} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_64.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_64.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_64.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_64.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_64.py new file mode 100644 index 00000000..dee58982 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_64.py @@ -0,0 +1,62 @@ +def selection_64(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y65_MT_MET_0 + y65_MT_MET_0_weights = numpy.array([0.6024654,0.8805263,1.498439,3.738375,0.8959741,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y65_MT_MET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ mu_{1} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y65_MT_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y65_MT_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_64.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_64.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_64.eps') + +# Running! +if __name__ == '__main__': + selection_64() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_65.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_65.C new file mode 100644 index 00000000..3dd9e2a3 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_65.C @@ -0,0 +1,117 @@ +void selection_65() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo131","canvas_plotflow_tempo131",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S66_PT_0 = new TH1F("S66_PT_0","S66_PT_0",50,0.0,1000.0); + // Content + S66_PT_0->SetBinContent(0,0.0); // underflow + S66_PT_0->SetBinContent(1,0.0); + S66_PT_0->SetBinContent(2,0.0); + S66_PT_0->SetBinContent(3,0.0); + S66_PT_0->SetBinContent(4,0.0); + S66_PT_0->SetBinContent(5,0.0); + S66_PT_0->SetBinContent(6,0.0); + S66_PT_0->SetBinContent(7,0.0); + S66_PT_0->SetBinContent(8,0.0); + S66_PT_0->SetBinContent(9,0.0); + S66_PT_0->SetBinContent(10,0.0); + S66_PT_0->SetBinContent(11,0.0); + S66_PT_0->SetBinContent(12,0.0); + S66_PT_0->SetBinContent(13,0.0); + S66_PT_0->SetBinContent(14,0.0); + S66_PT_0->SetBinContent(15,0.0); + S66_PT_0->SetBinContent(16,0.0); + S66_PT_0->SetBinContent(17,0.0); + S66_PT_0->SetBinContent(18,0.0); + S66_PT_0->SetBinContent(19,0.0); + S66_PT_0->SetBinContent(20,0.0); + S66_PT_0->SetBinContent(21,0.0); + S66_PT_0->SetBinContent(22,0.0); + S66_PT_0->SetBinContent(23,0.0); + S66_PT_0->SetBinContent(24,0.0); + S66_PT_0->SetBinContent(25,0.0); + S66_PT_0->SetBinContent(26,0.0); + S66_PT_0->SetBinContent(27,0.0); + S66_PT_0->SetBinContent(28,0.0); + S66_PT_0->SetBinContent(29,0.0); + S66_PT_0->SetBinContent(30,0.0); + S66_PT_0->SetBinContent(31,0.0); + S66_PT_0->SetBinContent(32,0.0); + S66_PT_0->SetBinContent(33,0.0); + S66_PT_0->SetBinContent(34,0.0); + S66_PT_0->SetBinContent(35,0.0); + S66_PT_0->SetBinContent(36,0.0); + S66_PT_0->SetBinContent(37,0.0); + S66_PT_0->SetBinContent(38,0.0); + S66_PT_0->SetBinContent(39,0.0); + S66_PT_0->SetBinContent(40,0.0); + S66_PT_0->SetBinContent(41,0.0); + S66_PT_0->SetBinContent(42,0.0); + S66_PT_0->SetBinContent(43,0.0); + S66_PT_0->SetBinContent(44,0.0); + S66_PT_0->SetBinContent(45,0.0); + S66_PT_0->SetBinContent(46,0.0); + S66_PT_0->SetBinContent(47,0.0); + S66_PT_0->SetBinContent(48,0.0); + S66_PT_0->SetBinContent(49,0.0); + S66_PT_0->SetBinContent(50,0.0); + S66_PT_0->SetBinContent(51,0.0); // overflow + S66_PT_0->SetEntries(0); + // Style + S66_PT_0->SetLineColor(9); + S66_PT_0->SetLineStyle(1); + S66_PT_0->SetLineWidth(1); + S66_PT_0->SetFillColor(9); + S66_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_132","mystack"); + stack->Add(S66_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ mu_{2} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_65.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_65.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_65.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_65.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_65.py new file mode 100644 index 00000000..bf5b3018 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_65.py @@ -0,0 +1,62 @@ +def selection_65(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y66_PT_0 + y66_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y66_PT_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ mu_{2} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y66_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y66_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_65.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_65.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_65.eps') + +# Running! +if __name__ == '__main__': + selection_65() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_66.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_66.C new file mode 100644 index 00000000..ceb329a0 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_66.C @@ -0,0 +1,117 @@ +void selection_66() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo133","canvas_plotflow_tempo133",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S67_ETA_0 = new TH1F("S67_ETA_0","S67_ETA_0",50,-8.0,8.0); + // Content + S67_ETA_0->SetBinContent(0,0.0); // underflow + S67_ETA_0->SetBinContent(1,0.0); + S67_ETA_0->SetBinContent(2,0.0); + S67_ETA_0->SetBinContent(3,0.0); + S67_ETA_0->SetBinContent(4,0.0); + S67_ETA_0->SetBinContent(5,0.0); + S67_ETA_0->SetBinContent(6,0.0); + S67_ETA_0->SetBinContent(7,0.0); + S67_ETA_0->SetBinContent(8,0.0); + S67_ETA_0->SetBinContent(9,0.0); + S67_ETA_0->SetBinContent(10,0.0); + S67_ETA_0->SetBinContent(11,0.0); + S67_ETA_0->SetBinContent(12,0.0); + S67_ETA_0->SetBinContent(13,0.0); + S67_ETA_0->SetBinContent(14,0.0); + S67_ETA_0->SetBinContent(15,0.0); + S67_ETA_0->SetBinContent(16,0.0); + S67_ETA_0->SetBinContent(17,0.0); + S67_ETA_0->SetBinContent(18,0.0); + S67_ETA_0->SetBinContent(19,0.0); + S67_ETA_0->SetBinContent(20,0.0); + S67_ETA_0->SetBinContent(21,0.0); + S67_ETA_0->SetBinContent(22,0.0); + S67_ETA_0->SetBinContent(23,0.0); + S67_ETA_0->SetBinContent(24,0.0); + S67_ETA_0->SetBinContent(25,0.0); + S67_ETA_0->SetBinContent(26,0.0); + S67_ETA_0->SetBinContent(27,0.0); + S67_ETA_0->SetBinContent(28,0.0); + S67_ETA_0->SetBinContent(29,0.0); + S67_ETA_0->SetBinContent(30,0.0); + S67_ETA_0->SetBinContent(31,0.0); + S67_ETA_0->SetBinContent(32,0.0); + S67_ETA_0->SetBinContent(33,0.0); + S67_ETA_0->SetBinContent(34,0.0); + S67_ETA_0->SetBinContent(35,0.0); + S67_ETA_0->SetBinContent(36,0.0); + S67_ETA_0->SetBinContent(37,0.0); + S67_ETA_0->SetBinContent(38,0.0); + S67_ETA_0->SetBinContent(39,0.0); + S67_ETA_0->SetBinContent(40,0.0); + S67_ETA_0->SetBinContent(41,0.0); + S67_ETA_0->SetBinContent(42,0.0); + S67_ETA_0->SetBinContent(43,0.0); + S67_ETA_0->SetBinContent(44,0.0); + S67_ETA_0->SetBinContent(45,0.0); + S67_ETA_0->SetBinContent(46,0.0); + S67_ETA_0->SetBinContent(47,0.0); + S67_ETA_0->SetBinContent(48,0.0); + S67_ETA_0->SetBinContent(49,0.0); + S67_ETA_0->SetBinContent(50,0.0); + S67_ETA_0->SetBinContent(51,0.0); // overflow + S67_ETA_0->SetEntries(0); + // Style + S67_ETA_0->SetLineColor(9); + S67_ETA_0->SetLineStyle(1); + S67_ETA_0->SetLineWidth(1); + S67_ETA_0->SetFillColor(9); + S67_ETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_134","mystack"); + stack->Add(S67_ETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#eta [ mu_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_66.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_66.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_66.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_66.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_66.py new file mode 100644 index 00000000..657d0030 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_66.py @@ -0,0 +1,62 @@ +def selection_66(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y67_ETA_0 + y67_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y67_ETA_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\eta$ $[ mu_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y67_ETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y67_ETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_66.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_66.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_66.eps') + +# Running! +if __name__ == '__main__': + selection_66() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_67.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_67.C new file mode 100644 index 00000000..325fa603 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_67.C @@ -0,0 +1,99 @@ +void selection_67() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo135","canvas_plotflow_tempo135",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S68_PHI_0 = new TH1F("S68_PHI_0","S68_PHI_0",32,-3.2,3.2); + // Content + S68_PHI_0->SetBinContent(0,0.0); // underflow + S68_PHI_0->SetBinContent(1,0.0); + S68_PHI_0->SetBinContent(2,0.0); + S68_PHI_0->SetBinContent(3,0.0); + S68_PHI_0->SetBinContent(4,0.0); + S68_PHI_0->SetBinContent(5,0.0); + S68_PHI_0->SetBinContent(6,0.0); + S68_PHI_0->SetBinContent(7,0.0); + S68_PHI_0->SetBinContent(8,0.0); + S68_PHI_0->SetBinContent(9,0.0); + S68_PHI_0->SetBinContent(10,0.0); + S68_PHI_0->SetBinContent(11,0.0); + S68_PHI_0->SetBinContent(12,0.0); + S68_PHI_0->SetBinContent(13,0.0); + S68_PHI_0->SetBinContent(14,0.0); + S68_PHI_0->SetBinContent(15,0.0); + S68_PHI_0->SetBinContent(16,0.0); + S68_PHI_0->SetBinContent(17,0.0); + S68_PHI_0->SetBinContent(18,0.0); + S68_PHI_0->SetBinContent(19,0.0); + S68_PHI_0->SetBinContent(20,0.0); + S68_PHI_0->SetBinContent(21,0.0); + S68_PHI_0->SetBinContent(22,0.0); + S68_PHI_0->SetBinContent(23,0.0); + S68_PHI_0->SetBinContent(24,0.0); + S68_PHI_0->SetBinContent(25,0.0); + S68_PHI_0->SetBinContent(26,0.0); + S68_PHI_0->SetBinContent(27,0.0); + S68_PHI_0->SetBinContent(28,0.0); + S68_PHI_0->SetBinContent(29,0.0); + S68_PHI_0->SetBinContent(30,0.0); + S68_PHI_0->SetBinContent(31,0.0); + S68_PHI_0->SetBinContent(32,0.0); + S68_PHI_0->SetBinContent(33,0.0); // overflow + S68_PHI_0->SetEntries(0); + // Style + S68_PHI_0->SetLineColor(9); + S68_PHI_0->SetLineStyle(1); + S68_PHI_0->SetLineWidth(1); + S68_PHI_0->SetFillColor(9); + S68_PHI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_136","mystack"); + stack->Add(S68_PHI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#phi [ mu_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_67.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_67.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_67.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_67.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_67.py new file mode 100644 index 00000000..4876c6b8 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_67.py @@ -0,0 +1,62 @@ +def selection_67(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) + + # Creating weights for histo: y68_PHI_0 + y68_PHI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y68_PHI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\phi$ $[ mu_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y68_PHI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y68_PHI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_67.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_67.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_67.eps') + +# Running! +if __name__ == '__main__': + selection_67() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_68.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_68.C new file mode 100644 index 00000000..22dd2d81 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_68.C @@ -0,0 +1,117 @@ +void selection_68() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo137","canvas_plotflow_tempo137",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S69_E_0 = new TH1F("S69_E_0","S69_E_0",50,0.0,2000.0); + // Content + S69_E_0->SetBinContent(0,0.0); // underflow + S69_E_0->SetBinContent(1,0.0); + S69_E_0->SetBinContent(2,0.0); + S69_E_0->SetBinContent(3,0.0); + S69_E_0->SetBinContent(4,0.0); + S69_E_0->SetBinContent(5,0.0); + S69_E_0->SetBinContent(6,0.0); + S69_E_0->SetBinContent(7,0.0); + S69_E_0->SetBinContent(8,0.0); + S69_E_0->SetBinContent(9,0.0); + S69_E_0->SetBinContent(10,0.0); + S69_E_0->SetBinContent(11,0.0); + S69_E_0->SetBinContent(12,0.0); + S69_E_0->SetBinContent(13,0.0); + S69_E_0->SetBinContent(14,0.0); + S69_E_0->SetBinContent(15,0.0); + S69_E_0->SetBinContent(16,0.0); + S69_E_0->SetBinContent(17,0.0); + S69_E_0->SetBinContent(18,0.0); + S69_E_0->SetBinContent(19,0.0); + S69_E_0->SetBinContent(20,0.0); + S69_E_0->SetBinContent(21,0.0); + S69_E_0->SetBinContent(22,0.0); + S69_E_0->SetBinContent(23,0.0); + S69_E_0->SetBinContent(24,0.0); + S69_E_0->SetBinContent(25,0.0); + S69_E_0->SetBinContent(26,0.0); + S69_E_0->SetBinContent(27,0.0); + S69_E_0->SetBinContent(28,0.0); + S69_E_0->SetBinContent(29,0.0); + S69_E_0->SetBinContent(30,0.0); + S69_E_0->SetBinContent(31,0.0); + S69_E_0->SetBinContent(32,0.0); + S69_E_0->SetBinContent(33,0.0); + S69_E_0->SetBinContent(34,0.0); + S69_E_0->SetBinContent(35,0.0); + S69_E_0->SetBinContent(36,0.0); + S69_E_0->SetBinContent(37,0.0); + S69_E_0->SetBinContent(38,0.0); + S69_E_0->SetBinContent(39,0.0); + S69_E_0->SetBinContent(40,0.0); + S69_E_0->SetBinContent(41,0.0); + S69_E_0->SetBinContent(42,0.0); + S69_E_0->SetBinContent(43,0.0); + S69_E_0->SetBinContent(44,0.0); + S69_E_0->SetBinContent(45,0.0); + S69_E_0->SetBinContent(46,0.0); + S69_E_0->SetBinContent(47,0.0); + S69_E_0->SetBinContent(48,0.0); + S69_E_0->SetBinContent(49,0.0); + S69_E_0->SetBinContent(50,0.0); + S69_E_0->SetBinContent(51,0.0); // overflow + S69_E_0->SetEntries(0); + // Style + S69_E_0->SetLineColor(9); + S69_E_0->SetLineStyle(1); + S69_E_0->SetLineWidth(1); + S69_E_0->SetFillColor(9); + S69_E_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_138","mystack"); + stack->Add(S69_E_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E [ mu_{2} ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_68.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_68.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_68.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_68.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_68.py new file mode 100644 index 00000000..779b279b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_68.py @@ -0,0 +1,62 @@ +def selection_68(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y69_E_0 + y69_E_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y69_E_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E$ $[ mu_{2} ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y69_E_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y69_E_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_68.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_68.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_68.eps') + +# Running! +if __name__ == '__main__': + selection_68() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_69.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_69.C new file mode 100644 index 00000000..da7c6181 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_69.C @@ -0,0 +1,117 @@ +void selection_69() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo139","canvas_plotflow_tempo139",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S70_MT_MET_0 = new TH1F("S70_MT_MET_0","S70_MT_MET_0",50,0.0,1000.0); + // Content + S70_MT_MET_0->SetBinContent(0,0.0); // underflow + S70_MT_MET_0->SetBinContent(1,0.0); + S70_MT_MET_0->SetBinContent(2,0.0); + S70_MT_MET_0->SetBinContent(3,0.0); + S70_MT_MET_0->SetBinContent(4,0.0); + S70_MT_MET_0->SetBinContent(5,0.0); + S70_MT_MET_0->SetBinContent(6,0.0); + S70_MT_MET_0->SetBinContent(7,0.0); + S70_MT_MET_0->SetBinContent(8,0.0); + S70_MT_MET_0->SetBinContent(9,0.0); + S70_MT_MET_0->SetBinContent(10,0.0); + S70_MT_MET_0->SetBinContent(11,0.0); + S70_MT_MET_0->SetBinContent(12,0.0); + S70_MT_MET_0->SetBinContent(13,0.0); + S70_MT_MET_0->SetBinContent(14,0.0); + S70_MT_MET_0->SetBinContent(15,0.0); + S70_MT_MET_0->SetBinContent(16,0.0); + S70_MT_MET_0->SetBinContent(17,0.0); + S70_MT_MET_0->SetBinContent(18,0.0); + S70_MT_MET_0->SetBinContent(19,0.0); + S70_MT_MET_0->SetBinContent(20,0.0); + S70_MT_MET_0->SetBinContent(21,0.0); + S70_MT_MET_0->SetBinContent(22,0.0); + S70_MT_MET_0->SetBinContent(23,0.0); + S70_MT_MET_0->SetBinContent(24,0.0); + S70_MT_MET_0->SetBinContent(25,0.0); + S70_MT_MET_0->SetBinContent(26,0.0); + S70_MT_MET_0->SetBinContent(27,0.0); + S70_MT_MET_0->SetBinContent(28,0.0); + S70_MT_MET_0->SetBinContent(29,0.0); + S70_MT_MET_0->SetBinContent(30,0.0); + S70_MT_MET_0->SetBinContent(31,0.0); + S70_MT_MET_0->SetBinContent(32,0.0); + S70_MT_MET_0->SetBinContent(33,0.0); + S70_MT_MET_0->SetBinContent(34,0.0); + S70_MT_MET_0->SetBinContent(35,0.0); + S70_MT_MET_0->SetBinContent(36,0.0); + S70_MT_MET_0->SetBinContent(37,0.0); + S70_MT_MET_0->SetBinContent(38,0.0); + S70_MT_MET_0->SetBinContent(39,0.0); + S70_MT_MET_0->SetBinContent(40,0.0); + S70_MT_MET_0->SetBinContent(41,0.0); + S70_MT_MET_0->SetBinContent(42,0.0); + S70_MT_MET_0->SetBinContent(43,0.0); + S70_MT_MET_0->SetBinContent(44,0.0); + S70_MT_MET_0->SetBinContent(45,0.0); + S70_MT_MET_0->SetBinContent(46,0.0); + S70_MT_MET_0->SetBinContent(47,0.0); + S70_MT_MET_0->SetBinContent(48,0.0); + S70_MT_MET_0->SetBinContent(49,0.0); + S70_MT_MET_0->SetBinContent(50,0.0); + S70_MT_MET_0->SetBinContent(51,0.0); // overflow + S70_MT_MET_0->SetEntries(0); + // Style + S70_MT_MET_0->SetLineColor(9); + S70_MT_MET_0->SetLineStyle(1); + S70_MT_MET_0->SetLineWidth(1); + S70_MT_MET_0->SetFillColor(9); + S70_MT_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_140","mystack"); + stack->Add(S70_MT_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ mu_{2} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_69.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_69.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_69.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_69.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_69.py new file mode 100644 index 00000000..6a6e8f78 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_69.py @@ -0,0 +1,62 @@ +def selection_69(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y70_MT_MET_0 + y70_MT_MET_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y70_MT_MET_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ mu_{2} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y70_MT_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y70_MT_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_69.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_69.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_69.eps') + +# Running! +if __name__ == '__main__': + selection_69() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_7.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_7.C new file mode 100644 index 00000000..4eac4ce7 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_7.C @@ -0,0 +1,117 @@ +void selection_7() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo15","canvas_plotflow_tempo15",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S8_MHT_0 = new TH1F("S8_MHT_0","S8_MHT_0",50,0.0,1500.0); + // Content + S8_MHT_0->SetBinContent(0,0.0); // underflow + S8_MHT_0->SetBinContent(1,1.977322); + S8_MHT_0->SetBinContent(2,3.923749); + S8_MHT_0->SetBinContent(3,3.861957); + S8_MHT_0->SetBinContent(4,2.687922); + S8_MHT_0->SetBinContent(5,1.436648); + S8_MHT_0->SetBinContent(6,0.818735); + S8_MHT_0->SetBinContent(7,0.2471653); + S8_MHT_0->SetBinContent(8,0.2935088); + S8_MHT_0->SetBinContent(9,0.06179132); + S8_MHT_0->SetBinContent(10,0.04634349); + S8_MHT_0->SetBinContent(11,0.04634349); + S8_MHT_0->SetBinContent(12,0.03089566); + S8_MHT_0->SetBinContent(13,0.01544783); + S8_MHT_0->SetBinContent(14,0.0); + S8_MHT_0->SetBinContent(15,0.0); + S8_MHT_0->SetBinContent(16,0.0); + S8_MHT_0->SetBinContent(17,0.0); + S8_MHT_0->SetBinContent(18,0.0); + S8_MHT_0->SetBinContent(19,0.0); + S8_MHT_0->SetBinContent(20,0.0); + S8_MHT_0->SetBinContent(21,0.0); + S8_MHT_0->SetBinContent(22,0.0); + S8_MHT_0->SetBinContent(23,0.0); + S8_MHT_0->SetBinContent(24,0.0); + S8_MHT_0->SetBinContent(25,0.0); + S8_MHT_0->SetBinContent(26,0.0); + S8_MHT_0->SetBinContent(27,0.0); + S8_MHT_0->SetBinContent(28,0.0); + S8_MHT_0->SetBinContent(29,0.0); + S8_MHT_0->SetBinContent(30,0.0); + S8_MHT_0->SetBinContent(31,0.0); + S8_MHT_0->SetBinContent(32,0.0); + S8_MHT_0->SetBinContent(33,0.0); + S8_MHT_0->SetBinContent(34,0.0); + S8_MHT_0->SetBinContent(35,0.0); + S8_MHT_0->SetBinContent(36,0.0); + S8_MHT_0->SetBinContent(37,0.0); + S8_MHT_0->SetBinContent(38,0.0); + S8_MHT_0->SetBinContent(39,0.0); + S8_MHT_0->SetBinContent(40,0.0); + S8_MHT_0->SetBinContent(41,0.0); + S8_MHT_0->SetBinContent(42,0.0); + S8_MHT_0->SetBinContent(43,0.0); + S8_MHT_0->SetBinContent(44,0.0); + S8_MHT_0->SetBinContent(45,0.0); + S8_MHT_0->SetBinContent(46,0.0); + S8_MHT_0->SetBinContent(47,0.0); + S8_MHT_0->SetBinContent(48,0.0); + S8_MHT_0->SetBinContent(49,0.0); + S8_MHT_0->SetBinContent(50,0.0); + S8_MHT_0->SetBinContent(51,0.0); // overflow + S8_MHT_0->SetEntries(1000); + // Style + S8_MHT_0->SetLineColor(9); + S8_MHT_0->SetLineStyle(1); + S8_MHT_0->SetLineWidth(1); + S8_MHT_0->SetFillColor(9); + S8_MHT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_16","mystack"); + stack->Add(S8_MHT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#slash{H}_{T} (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_7.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_7.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_7.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_7.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_7.py new file mode 100644 index 00000000..c939b9ff --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_7.py @@ -0,0 +1,62 @@ +def selection_7(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) + + # Creating weights for histo: y8_MHT_0 + y8_MHT_0_weights = numpy.array([1.977322,3.923749,3.861957,2.687922,1.436648,0.818735,0.2471653,0.2935088,0.06179132,0.04634349,0.04634349,0.03089566,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y8_MHT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\slash{H}_{T}$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y8_MHT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y8_MHT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_7.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_7.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_7.eps') + +# Running! +if __name__ == '__main__': + selection_7() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_70.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_70.C new file mode 100644 index 00000000..fe41e6f4 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_70.C @@ -0,0 +1,117 @@ +void selection_70() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo141","canvas_plotflow_tempo141",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S71_M_0 = new TH1F("S71_M_0","S71_M_0",50,0.0,1000.0); + // Content + S71_M_0->SetBinContent(0,0.0); // underflow + S71_M_0->SetBinContent(1,0.0); + S71_M_0->SetBinContent(2,0.0); + S71_M_0->SetBinContent(3,0.0); + S71_M_0->SetBinContent(4,0.0); + S71_M_0->SetBinContent(5,0.0); + S71_M_0->SetBinContent(6,0.0); + S71_M_0->SetBinContent(7,0.0); + S71_M_0->SetBinContent(8,0.0); + S71_M_0->SetBinContent(9,0.0); + S71_M_0->SetBinContent(10,0.0); + S71_M_0->SetBinContent(11,0.0); + S71_M_0->SetBinContent(12,0.0); + S71_M_0->SetBinContent(13,0.0); + S71_M_0->SetBinContent(14,0.0); + S71_M_0->SetBinContent(15,0.0); + S71_M_0->SetBinContent(16,0.0); + S71_M_0->SetBinContent(17,0.0); + S71_M_0->SetBinContent(18,0.0); + S71_M_0->SetBinContent(19,0.0); + S71_M_0->SetBinContent(20,0.0); + S71_M_0->SetBinContent(21,0.0); + S71_M_0->SetBinContent(22,0.0); + S71_M_0->SetBinContent(23,0.0); + S71_M_0->SetBinContent(24,0.0); + S71_M_0->SetBinContent(25,0.0); + S71_M_0->SetBinContent(26,0.0); + S71_M_0->SetBinContent(27,0.0); + S71_M_0->SetBinContent(28,0.0); + S71_M_0->SetBinContent(29,0.0); + S71_M_0->SetBinContent(30,0.0); + S71_M_0->SetBinContent(31,0.0); + S71_M_0->SetBinContent(32,0.0); + S71_M_0->SetBinContent(33,0.0); + S71_M_0->SetBinContent(34,0.0); + S71_M_0->SetBinContent(35,0.0); + S71_M_0->SetBinContent(36,0.0); + S71_M_0->SetBinContent(37,0.0); + S71_M_0->SetBinContent(38,0.0); + S71_M_0->SetBinContent(39,0.0); + S71_M_0->SetBinContent(40,0.0); + S71_M_0->SetBinContent(41,0.0); + S71_M_0->SetBinContent(42,0.0); + S71_M_0->SetBinContent(43,0.0); + S71_M_0->SetBinContent(44,0.0); + S71_M_0->SetBinContent(45,0.0); + S71_M_0->SetBinContent(46,0.0); + S71_M_0->SetBinContent(47,0.0); + S71_M_0->SetBinContent(48,0.0); + S71_M_0->SetBinContent(49,0.0); + S71_M_0->SetBinContent(50,0.0); + S71_M_0->SetBinContent(51,0.0); // overflow + S71_M_0->SetEntries(0); + // Style + S71_M_0->SetLineColor(9); + S71_M_0->SetLineStyle(1); + S71_M_0->SetLineWidth(1); + S71_M_0->SetFillColor(9); + S71_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_142","mystack"); + stack->Add(S71_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ mu_{1} mu_{2} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_70.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_70.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_70.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_70.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_70.py new file mode 100644 index 00000000..29694ed3 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_70.py @@ -0,0 +1,62 @@ +def selection_70(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y71_M_0 + y71_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y71_M_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ mu_{1} mu_{2} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y71_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y71_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_70.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_70.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_70.eps') + +# Running! +if __name__ == '__main__': + selection_70() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_71.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_71.C new file mode 100644 index 00000000..72472cc7 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_71.C @@ -0,0 +1,117 @@ +void selection_71() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo143","canvas_plotflow_tempo143",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S72_PT_0 = new TH1F("S72_PT_0","S72_PT_0",50,0.0,1500.0); + // Content + S72_PT_0->SetBinContent(0,0.0); // underflow + S72_PT_0->SetBinContent(1,0.0); + S72_PT_0->SetBinContent(2,0.0); + S72_PT_0->SetBinContent(3,0.0); + S72_PT_0->SetBinContent(4,0.0); + S72_PT_0->SetBinContent(5,0.0); + S72_PT_0->SetBinContent(6,0.0); + S72_PT_0->SetBinContent(7,0.0); + S72_PT_0->SetBinContent(8,0.0); + S72_PT_0->SetBinContent(9,0.0); + S72_PT_0->SetBinContent(10,0.0); + S72_PT_0->SetBinContent(11,0.0); + S72_PT_0->SetBinContent(12,0.0); + S72_PT_0->SetBinContent(13,0.0); + S72_PT_0->SetBinContent(14,0.0); + S72_PT_0->SetBinContent(15,0.0); + S72_PT_0->SetBinContent(16,0.0); + S72_PT_0->SetBinContent(17,0.0); + S72_PT_0->SetBinContent(18,0.0); + S72_PT_0->SetBinContent(19,0.0); + S72_PT_0->SetBinContent(20,0.0); + S72_PT_0->SetBinContent(21,0.0); + S72_PT_0->SetBinContent(22,0.0); + S72_PT_0->SetBinContent(23,0.0); + S72_PT_0->SetBinContent(24,0.0); + S72_PT_0->SetBinContent(25,0.0); + S72_PT_0->SetBinContent(26,0.0); + S72_PT_0->SetBinContent(27,0.0); + S72_PT_0->SetBinContent(28,0.0); + S72_PT_0->SetBinContent(29,0.0); + S72_PT_0->SetBinContent(30,0.0); + S72_PT_0->SetBinContent(31,0.0); + S72_PT_0->SetBinContent(32,0.0); + S72_PT_0->SetBinContent(33,0.0); + S72_PT_0->SetBinContent(34,0.0); + S72_PT_0->SetBinContent(35,0.0); + S72_PT_0->SetBinContent(36,0.0); + S72_PT_0->SetBinContent(37,0.0); + S72_PT_0->SetBinContent(38,0.0); + S72_PT_0->SetBinContent(39,0.0); + S72_PT_0->SetBinContent(40,0.0); + S72_PT_0->SetBinContent(41,0.0); + S72_PT_0->SetBinContent(42,0.0); + S72_PT_0->SetBinContent(43,0.0); + S72_PT_0->SetBinContent(44,0.0); + S72_PT_0->SetBinContent(45,0.0); + S72_PT_0->SetBinContent(46,0.0); + S72_PT_0->SetBinContent(47,0.0); + S72_PT_0->SetBinContent(48,0.0); + S72_PT_0->SetBinContent(49,0.0); + S72_PT_0->SetBinContent(50,0.0); + S72_PT_0->SetBinContent(51,0.0); // overflow + S72_PT_0->SetEntries(0); + // Style + S72_PT_0->SetLineColor(9); + S72_PT_0->SetLineStyle(1); + S72_PT_0->SetLineWidth(1); + S72_PT_0->SetFillColor(9); + S72_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_144","mystack"); + stack->Add(S72_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ mu_{1} mu_{2} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_71.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_71.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_71.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_71.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_71.py new file mode 100644 index 00000000..f065be7f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_71.py @@ -0,0 +1,62 @@ +def selection_71(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) + + # Creating weights for histo: y72_PT_0 + y72_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y72_PT_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ mu_{1} mu_{2} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y72_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y72_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_71.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_71.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_71.eps') + +# Running! +if __name__ == '__main__': + selection_71() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_72.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_72.C new file mode 100644 index 00000000..528fdf2d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_72.C @@ -0,0 +1,117 @@ +void selection_72() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo145","canvas_plotflow_tempo145",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S73_DELTAR_0 = new TH1F("S73_DELTAR_0","S73_DELTAR_0",50,0.0,10.0); + // Content + S73_DELTAR_0->SetBinContent(0,0.0); // underflow + S73_DELTAR_0->SetBinContent(1,0.0); + S73_DELTAR_0->SetBinContent(2,0.0); + S73_DELTAR_0->SetBinContent(3,0.0); + S73_DELTAR_0->SetBinContent(4,0.0); + S73_DELTAR_0->SetBinContent(5,0.0); + S73_DELTAR_0->SetBinContent(6,0.0); + S73_DELTAR_0->SetBinContent(7,0.0); + S73_DELTAR_0->SetBinContent(8,0.0); + S73_DELTAR_0->SetBinContent(9,0.0); + S73_DELTAR_0->SetBinContent(10,0.0); + S73_DELTAR_0->SetBinContent(11,0.0); + S73_DELTAR_0->SetBinContent(12,0.0); + S73_DELTAR_0->SetBinContent(13,0.0); + S73_DELTAR_0->SetBinContent(14,0.0); + S73_DELTAR_0->SetBinContent(15,0.0); + S73_DELTAR_0->SetBinContent(16,0.0); + S73_DELTAR_0->SetBinContent(17,0.0); + S73_DELTAR_0->SetBinContent(18,0.0); + S73_DELTAR_0->SetBinContent(19,0.0); + S73_DELTAR_0->SetBinContent(20,0.0); + S73_DELTAR_0->SetBinContent(21,0.0); + S73_DELTAR_0->SetBinContent(22,0.0); + S73_DELTAR_0->SetBinContent(23,0.0); + S73_DELTAR_0->SetBinContent(24,0.0); + S73_DELTAR_0->SetBinContent(25,0.0); + S73_DELTAR_0->SetBinContent(26,0.0); + S73_DELTAR_0->SetBinContent(27,0.0); + S73_DELTAR_0->SetBinContent(28,0.0); + S73_DELTAR_0->SetBinContent(29,0.0); + S73_DELTAR_0->SetBinContent(30,0.0); + S73_DELTAR_0->SetBinContent(31,0.0); + S73_DELTAR_0->SetBinContent(32,0.0); + S73_DELTAR_0->SetBinContent(33,0.0); + S73_DELTAR_0->SetBinContent(34,0.0); + S73_DELTAR_0->SetBinContent(35,0.0); + S73_DELTAR_0->SetBinContent(36,0.0); + S73_DELTAR_0->SetBinContent(37,0.0); + S73_DELTAR_0->SetBinContent(38,0.0); + S73_DELTAR_0->SetBinContent(39,0.0); + S73_DELTAR_0->SetBinContent(40,0.0); + S73_DELTAR_0->SetBinContent(41,0.0); + S73_DELTAR_0->SetBinContent(42,0.0); + S73_DELTAR_0->SetBinContent(43,0.0); + S73_DELTAR_0->SetBinContent(44,0.0); + S73_DELTAR_0->SetBinContent(45,0.0); + S73_DELTAR_0->SetBinContent(46,0.0); + S73_DELTAR_0->SetBinContent(47,0.0); + S73_DELTAR_0->SetBinContent(48,0.0); + S73_DELTAR_0->SetBinContent(49,0.0); + S73_DELTAR_0->SetBinContent(50,0.0); + S73_DELTAR_0->SetBinContent(51,0.0); // overflow + S73_DELTAR_0->SetEntries(0); + // Style + S73_DELTAR_0->SetLineColor(9); + S73_DELTAR_0->SetLineStyle(1); + S73_DELTAR_0->SetLineWidth(1); + S73_DELTAR_0->SetFillColor(9); + S73_DELTAR_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_146","mystack"); + stack->Add(S73_DELTAR_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#DeltaR [ mu_{1}, mu_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_72.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_72.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_72.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_72.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_72.py new file mode 100644 index 00000000..805bd5bb --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_72.py @@ -0,0 +1,62 @@ +def selection_72(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y73_DELTAR_0 + y73_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y73_DELTAR_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta R$ $[ mu_{1}, mu_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y73_DELTAR_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y73_DELTAR_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_72.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_72.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_72.eps') + +# Running! +if __name__ == '__main__': + selection_72() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_73.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_73.C new file mode 100644 index 00000000..28c0c545 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_73.C @@ -0,0 +1,99 @@ +void selection_73() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo147","canvas_plotflow_tempo147",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S74_DPHI_0_PI_0 = new TH1F("S74_DPHI_0_PI_0","S74_DPHI_0_PI_0",32,0.0,3.2); + // Content + S74_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow + S74_DPHI_0_PI_0->SetBinContent(1,0.0); + S74_DPHI_0_PI_0->SetBinContent(2,0.0); + S74_DPHI_0_PI_0->SetBinContent(3,0.0); + S74_DPHI_0_PI_0->SetBinContent(4,0.0); + S74_DPHI_0_PI_0->SetBinContent(5,0.0); + S74_DPHI_0_PI_0->SetBinContent(6,0.0); + S74_DPHI_0_PI_0->SetBinContent(7,0.0); + S74_DPHI_0_PI_0->SetBinContent(8,0.0); + S74_DPHI_0_PI_0->SetBinContent(9,0.0); + S74_DPHI_0_PI_0->SetBinContent(10,0.0); + S74_DPHI_0_PI_0->SetBinContent(11,0.0); + S74_DPHI_0_PI_0->SetBinContent(12,0.0); + S74_DPHI_0_PI_0->SetBinContent(13,0.0); + S74_DPHI_0_PI_0->SetBinContent(14,0.0); + S74_DPHI_0_PI_0->SetBinContent(15,0.0); + S74_DPHI_0_PI_0->SetBinContent(16,0.0); + S74_DPHI_0_PI_0->SetBinContent(17,0.0); + S74_DPHI_0_PI_0->SetBinContent(18,0.0); + S74_DPHI_0_PI_0->SetBinContent(19,0.0); + S74_DPHI_0_PI_0->SetBinContent(20,0.0); + S74_DPHI_0_PI_0->SetBinContent(21,0.0); + S74_DPHI_0_PI_0->SetBinContent(22,0.0); + S74_DPHI_0_PI_0->SetBinContent(23,0.0); + S74_DPHI_0_PI_0->SetBinContent(24,0.0); + S74_DPHI_0_PI_0->SetBinContent(25,0.0); + S74_DPHI_0_PI_0->SetBinContent(26,0.0); + S74_DPHI_0_PI_0->SetBinContent(27,0.0); + S74_DPHI_0_PI_0->SetBinContent(28,0.0); + S74_DPHI_0_PI_0->SetBinContent(29,0.0); + S74_DPHI_0_PI_0->SetBinContent(30,0.0); + S74_DPHI_0_PI_0->SetBinContent(31,0.0); + S74_DPHI_0_PI_0->SetBinContent(32,0.0); + S74_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow + S74_DPHI_0_PI_0->SetEntries(0); + // Style + S74_DPHI_0_PI_0->SetLineColor(9); + S74_DPHI_0_PI_0->SetLineStyle(1); + S74_DPHI_0_PI_0->SetLineWidth(1); + S74_DPHI_0_PI_0->SetFillColor(9); + S74_DPHI_0_PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_148","mystack"); + stack->Add(S74_DPHI_0_PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ mu_{1}, mu_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_73.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_73.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_73.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_73.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_73.py new file mode 100644 index 00000000..d237ac45 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_73.py @@ -0,0 +1,62 @@ +def selection_73(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) + + # Creating weights for histo: y74_DPHI_0_PI_0 + y74_DPHI_0_PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y74_DPHI_0_PI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ mu_{1}, mu_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y74_DPHI_0_PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y74_DPHI_0_PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_73.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_73.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_73.eps') + +# Running! +if __name__ == '__main__': + selection_73() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_74.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_74.C new file mode 100644 index 00000000..9d875f85 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_74.C @@ -0,0 +1,99 @@ +void selection_74() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo149","canvas_plotflow_tempo149",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S75_DPHI_0_2PI_0 = new TH1F("S75_DPHI_0_2PI_0","S75_DPHI_0_2PI_0",32,0.0,6.4); + // Content + S75_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow + S75_DPHI_0_2PI_0->SetBinContent(1,0.0); + S75_DPHI_0_2PI_0->SetBinContent(2,0.0); + S75_DPHI_0_2PI_0->SetBinContent(3,0.0); + S75_DPHI_0_2PI_0->SetBinContent(4,0.0); + S75_DPHI_0_2PI_0->SetBinContent(5,0.0); + S75_DPHI_0_2PI_0->SetBinContent(6,0.0); + S75_DPHI_0_2PI_0->SetBinContent(7,0.0); + S75_DPHI_0_2PI_0->SetBinContent(8,0.0); + S75_DPHI_0_2PI_0->SetBinContent(9,0.0); + S75_DPHI_0_2PI_0->SetBinContent(10,0.0); + S75_DPHI_0_2PI_0->SetBinContent(11,0.0); + S75_DPHI_0_2PI_0->SetBinContent(12,0.0); + S75_DPHI_0_2PI_0->SetBinContent(13,0.0); + S75_DPHI_0_2PI_0->SetBinContent(14,0.0); + S75_DPHI_0_2PI_0->SetBinContent(15,0.0); + S75_DPHI_0_2PI_0->SetBinContent(16,0.0); + S75_DPHI_0_2PI_0->SetBinContent(17,0.0); + S75_DPHI_0_2PI_0->SetBinContent(18,0.0); + S75_DPHI_0_2PI_0->SetBinContent(19,0.0); + S75_DPHI_0_2PI_0->SetBinContent(20,0.0); + S75_DPHI_0_2PI_0->SetBinContent(21,0.0); + S75_DPHI_0_2PI_0->SetBinContent(22,0.0); + S75_DPHI_0_2PI_0->SetBinContent(23,0.0); + S75_DPHI_0_2PI_0->SetBinContent(24,0.0); + S75_DPHI_0_2PI_0->SetBinContent(25,0.0); + S75_DPHI_0_2PI_0->SetBinContent(26,0.0); + S75_DPHI_0_2PI_0->SetBinContent(27,0.0); + S75_DPHI_0_2PI_0->SetBinContent(28,0.0); + S75_DPHI_0_2PI_0->SetBinContent(29,0.0); + S75_DPHI_0_2PI_0->SetBinContent(30,0.0); + S75_DPHI_0_2PI_0->SetBinContent(31,0.0); + S75_DPHI_0_2PI_0->SetBinContent(32,0.0); + S75_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow + S75_DPHI_0_2PI_0->SetEntries(0); + // Style + S75_DPHI_0_2PI_0->SetLineColor(9); + S75_DPHI_0_2PI_0->SetLineStyle(1); + S75_DPHI_0_2PI_0->SetLineWidth(1); + S75_DPHI_0_2PI_0->SetFillColor(9); + S75_DPHI_0_2PI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_150","mystack"); + stack->Add(S75_DPHI_0_2PI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ mu_{1}, mu_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_74.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_74.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_74.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_74.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_74.py new file mode 100644 index 00000000..be508f20 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_74.py @@ -0,0 +1,62 @@ +def selection_74(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) + + # Creating weights for histo: y75_DPHI_0_2PI_0 + y75_DPHI_0_2PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y75_DPHI_0_2PI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ mu_{1}, mu_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y75_DPHI_0_2PI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y75_DPHI_0_2PI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_74.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_74.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_74.eps') + +# Running! +if __name__ == '__main__': + selection_74() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_75.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_75.C new file mode 100644 index 00000000..3413abe4 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_75.C @@ -0,0 +1,117 @@ +void selection_75() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo151","canvas_plotflow_tempo151",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S76_PT_0 = new TH1F("S76_PT_0","S76_PT_0",50,0.0,1000.0); + // Content + S76_PT_0->SetBinContent(0,0.0); // underflow + S76_PT_0->SetBinContent(1,0.0); + S76_PT_0->SetBinContent(2,2.734266); + S76_PT_0->SetBinContent(3,4.124571); + S76_PT_0->SetBinContent(4,3.244044); + S76_PT_0->SetBinContent(5,2.626131); + S76_PT_0->SetBinContent(6,1.0659); + S76_PT_0->SetBinContent(7,0.7878393); + S76_PT_0->SetBinContent(8,0.4479871); + S76_PT_0->SetBinContent(9,0.1699261); + S76_PT_0->SetBinContent(10,0.06179132); + S76_PT_0->SetBinContent(11,0.04634349); + S76_PT_0->SetBinContent(12,0.07723915); + S76_PT_0->SetBinContent(13,0.0); + S76_PT_0->SetBinContent(14,0.03089566); + S76_PT_0->SetBinContent(15,0.0); + S76_PT_0->SetBinContent(16,0.03089566); + S76_PT_0->SetBinContent(17,0.0); + S76_PT_0->SetBinContent(18,0.0); + S76_PT_0->SetBinContent(19,0.0); + S76_PT_0->SetBinContent(20,0.0); + S76_PT_0->SetBinContent(21,0.0); + S76_PT_0->SetBinContent(22,0.0); + S76_PT_0->SetBinContent(23,0.0); + S76_PT_0->SetBinContent(24,0.0); + S76_PT_0->SetBinContent(25,0.0); + S76_PT_0->SetBinContent(26,0.0); + S76_PT_0->SetBinContent(27,0.0); + S76_PT_0->SetBinContent(28,0.0); + S76_PT_0->SetBinContent(29,0.0); + S76_PT_0->SetBinContent(30,0.0); + S76_PT_0->SetBinContent(31,0.0); + S76_PT_0->SetBinContent(32,0.0); + S76_PT_0->SetBinContent(33,0.0); + S76_PT_0->SetBinContent(34,0.0); + S76_PT_0->SetBinContent(35,0.0); + S76_PT_0->SetBinContent(36,0.0); + S76_PT_0->SetBinContent(37,0.0); + S76_PT_0->SetBinContent(38,0.0); + S76_PT_0->SetBinContent(39,0.0); + S76_PT_0->SetBinContent(40,0.0); + S76_PT_0->SetBinContent(41,0.0); + S76_PT_0->SetBinContent(42,0.0); + S76_PT_0->SetBinContent(43,0.0); + S76_PT_0->SetBinContent(44,0.0); + S76_PT_0->SetBinContent(45,0.0); + S76_PT_0->SetBinContent(46,0.0); + S76_PT_0->SetBinContent(47,0.0); + S76_PT_0->SetBinContent(48,0.0); + S76_PT_0->SetBinContent(49,0.0); + S76_PT_0->SetBinContent(50,0.0); + S76_PT_0->SetBinContent(51,0.0); // overflow + S76_PT_0->SetEntries(1000); + // Style + S76_PT_0->SetLineColor(9); + S76_PT_0->SetLineStyle(1); + S76_PT_0->SetLineWidth(1); + S76_PT_0->SetFillColor(9); + S76_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_152","mystack"); + stack->Add(S76_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ b ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_75.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_75.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_75.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_75.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_75.py new file mode 100644 index 00000000..db3c4016 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_75.py @@ -0,0 +1,62 @@ +def selection_75(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y76_PT_0 + y76_PT_0_weights = numpy.array([0.0,2.734266,4.124571,3.244044,2.626131,1.0659,0.7878393,0.4479871,0.1699261,0.06179132,0.04634349,0.07723915,0.0,0.03089566,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y76_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ b ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y76_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y76_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_75.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_75.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_75.eps') + +# Running! +if __name__ == '__main__': + selection_75() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_76.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_76.C new file mode 100644 index 00000000..9aa670db --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_76.C @@ -0,0 +1,117 @@ +void selection_76() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo153","canvas_plotflow_tempo153",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S77_ETA_0 = new TH1F("S77_ETA_0","S77_ETA_0",50,-8.0,8.0); + // Content + S77_ETA_0->SetBinContent(0,0.0); // underflow + S77_ETA_0->SetBinContent(1,0.0); + S77_ETA_0->SetBinContent(2,0.0); + S77_ETA_0->SetBinContent(3,0.0); + S77_ETA_0->SetBinContent(4,0.0); + S77_ETA_0->SetBinContent(5,0.0); + S77_ETA_0->SetBinContent(6,0.0); + S77_ETA_0->SetBinContent(7,0.0); + S77_ETA_0->SetBinContent(8,0.0); + S77_ETA_0->SetBinContent(9,0.0); + S77_ETA_0->SetBinContent(10,0.0); + S77_ETA_0->SetBinContent(11,0.0); + S77_ETA_0->SetBinContent(12,0.0); + S77_ETA_0->SetBinContent(13,0.0); + S77_ETA_0->SetBinContent(14,0.01544783); + S77_ETA_0->SetBinContent(15,0.04634349); + S77_ETA_0->SetBinContent(16,0.06179132); + S77_ETA_0->SetBinContent(17,0.2008218); + S77_ETA_0->SetBinContent(18,0.4016436); + S77_ETA_0->SetBinContent(19,0.3089566); + S77_ETA_0->SetBinContent(20,0.4943306); + S77_ETA_0->SetBinContent(21,0.7723915); + S77_ETA_0->SetBinContent(22,1.050452); + S77_ETA_0->SetBinContent(23,1.328513); + S77_ETA_0->SetBinContent(24,1.204931); + S77_ETA_0->SetBinContent(25,1.467544); + S77_ETA_0->SetBinContent(26,1.529335); + S77_ETA_0->SetBinContent(27,1.405753); + S77_ETA_0->SetBinContent(28,1.560231); + S77_ETA_0->SetBinContent(29,1.050452); + S77_ETA_0->SetBinContent(30,0.8032872); + S77_ETA_0->SetBinContent(31,0.6951523); + S77_ETA_0->SetBinContent(32,0.4016436); + S77_ETA_0->SetBinContent(33,0.3089566); + S77_ETA_0->SetBinContent(34,0.2008218); + S77_ETA_0->SetBinContent(35,0.1081348); + S77_ETA_0->SetBinContent(36,0.01544783); + S77_ETA_0->SetBinContent(37,0.01544783); + S77_ETA_0->SetBinContent(38,0.0); + S77_ETA_0->SetBinContent(39,0.0); + S77_ETA_0->SetBinContent(40,0.0); + S77_ETA_0->SetBinContent(41,0.0); + S77_ETA_0->SetBinContent(42,0.0); + S77_ETA_0->SetBinContent(43,0.0); + S77_ETA_0->SetBinContent(44,0.0); + S77_ETA_0->SetBinContent(45,0.0); + S77_ETA_0->SetBinContent(46,0.0); + S77_ETA_0->SetBinContent(47,0.0); + S77_ETA_0->SetBinContent(48,0.0); + S77_ETA_0->SetBinContent(49,0.0); + S77_ETA_0->SetBinContent(50,0.0); + S77_ETA_0->SetBinContent(51,0.0); // overflow + S77_ETA_0->SetEntries(1000); + // Style + S77_ETA_0->SetLineColor(9); + S77_ETA_0->SetLineStyle(1); + S77_ETA_0->SetLineWidth(1); + S77_ETA_0->SetFillColor(9); + S77_ETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_154","mystack"); + stack->Add(S77_ETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#eta [ b ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_76.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_76.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_76.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_76.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_76.py new file mode 100644 index 00000000..a5e73e1d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_76.py @@ -0,0 +1,62 @@ +def selection_76(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y77_ETA_0 + y77_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.04634349,0.06179132,0.2008218,0.4016436,0.3089566,0.4943306,0.7723915,1.050452,1.328513,1.204931,1.467544,1.529335,1.405753,1.560231,1.050452,0.8032872,0.6951523,0.4016436,0.3089566,0.2008218,0.1081348,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y77_ETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\eta$ $[ b ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y77_ETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y77_ETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_76.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_76.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_76.eps') + +# Running! +if __name__ == '__main__': + selection_76() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_77.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_77.C new file mode 100644 index 00000000..158c3479 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_77.C @@ -0,0 +1,117 @@ +void selection_77() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo155","canvas_plotflow_tempo155",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S78_ABSETA_0 = new TH1F("S78_ABSETA_0","S78_ABSETA_0",50,0.0,8.0); + // Content + S78_ABSETA_0->SetBinContent(0,0.0); // underflow + S78_ABSETA_0->SetBinContent(1,1.575679); + S78_ABSETA_0->SetBinContent(2,1.4212); + S78_ABSETA_0->SetBinContent(3,1.297618); + S78_ABSETA_0->SetBinContent(4,1.313066); + S78_ABSETA_0->SetBinContent(5,1.560231); + S78_ABSETA_0->SetBinContent(6,1.328513); + S78_ABSETA_0->SetBinContent(7,1.081348); + S78_ABSETA_0->SetBinContent(8,1.019557); + S78_ABSETA_0->SetBinContent(9,0.8496306); + S78_ABSETA_0->SetBinContent(10,0.726048); + S78_ABSETA_0->SetBinContent(11,0.6642567); + S78_ABSETA_0->SetBinContent(12,0.5252262); + S78_ABSETA_0->SetBinContent(13,0.4170914); + S78_ABSETA_0->SetBinContent(14,0.2935088); + S78_ABSETA_0->SetBinContent(15,0.4170914); + S78_ABSETA_0->SetBinContent(16,0.2935088); + S78_ABSETA_0->SetBinContent(17,0.3089566); + S78_ABSETA_0->SetBinContent(18,0.09268698); + S78_ABSETA_0->SetBinContent(19,0.07723915); + S78_ABSETA_0->SetBinContent(20,0.09268698); + S78_ABSETA_0->SetBinContent(21,0.03089566); + S78_ABSETA_0->SetBinContent(22,0.03089566); + S78_ABSETA_0->SetBinContent(23,0.03089566); + S78_ABSETA_0->SetBinContent(24,0.0); + S78_ABSETA_0->SetBinContent(25,0.0); + S78_ABSETA_0->SetBinContent(26,0.0); + S78_ABSETA_0->SetBinContent(27,0.0); + S78_ABSETA_0->SetBinContent(28,0.0); + S78_ABSETA_0->SetBinContent(29,0.0); + S78_ABSETA_0->SetBinContent(30,0.0); + S78_ABSETA_0->SetBinContent(31,0.0); + S78_ABSETA_0->SetBinContent(32,0.0); + S78_ABSETA_0->SetBinContent(33,0.0); + S78_ABSETA_0->SetBinContent(34,0.0); + S78_ABSETA_0->SetBinContent(35,0.0); + S78_ABSETA_0->SetBinContent(36,0.0); + S78_ABSETA_0->SetBinContent(37,0.0); + S78_ABSETA_0->SetBinContent(38,0.0); + S78_ABSETA_0->SetBinContent(39,0.0); + S78_ABSETA_0->SetBinContent(40,0.0); + S78_ABSETA_0->SetBinContent(41,0.0); + S78_ABSETA_0->SetBinContent(42,0.0); + S78_ABSETA_0->SetBinContent(43,0.0); + S78_ABSETA_0->SetBinContent(44,0.0); + S78_ABSETA_0->SetBinContent(45,0.0); + S78_ABSETA_0->SetBinContent(46,0.0); + S78_ABSETA_0->SetBinContent(47,0.0); + S78_ABSETA_0->SetBinContent(48,0.0); + S78_ABSETA_0->SetBinContent(49,0.0); + S78_ABSETA_0->SetBinContent(50,0.0); + S78_ABSETA_0->SetBinContent(51,0.0); // overflow + S78_ABSETA_0->SetEntries(1000); + // Style + S78_ABSETA_0->SetLineColor(9); + S78_ABSETA_0->SetLineStyle(1); + S78_ABSETA_0->SetLineWidth(1); + S78_ABSETA_0->SetFillColor(9); + S78_ABSETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_156","mystack"); + stack->Add(S78_ABSETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("|#eta| [ b ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_77.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_77.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_77.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_77.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_77.py new file mode 100644 index 00000000..ede9d70d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_77.py @@ -0,0 +1,62 @@ +def selection_77(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.08,0.24,0.4,0.56,0.72,0.88,1.04,1.2,1.36,1.52,1.68,1.84,2.0,2.16,2.32,2.48,2.64,2.8000000000000003,2.96,3.12,3.2800000000000002,3.44,3.6,3.7600000000000002,3.92,4.08,4.24,4.4,4.5600000000000005,4.72,4.88,5.04,5.2,5.36,5.5200000000000005,5.68,5.84,6.0,6.16,6.32,6.48,6.640000000000001,6.8,6.96,7.12,7.28,7.44,7.6000000000000005,7.76,7.92]) + + # Creating weights for histo: y78_ABSETA_0 + y78_ABSETA_0_weights = numpy.array([1.575679,1.4212,1.297618,1.313066,1.560231,1.328513,1.081348,1.019557,0.8496306,0.726048,0.6642567,0.5252262,0.4170914,0.2935088,0.4170914,0.2935088,0.3089566,0.09268698,0.07723915,0.09268698,0.03089566,0.03089566,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y78_ABSETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$|\eta|$ $[ b ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y78_ABSETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y78_ABSETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_77.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_77.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_77.eps') + +# Running! +if __name__ == '__main__': + selection_77() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_78.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_78.C new file mode 100644 index 00000000..2d7c340b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_78.C @@ -0,0 +1,99 @@ +void selection_78() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo157","canvas_plotflow_tempo157",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S79_PHI_0 = new TH1F("S79_PHI_0","S79_PHI_0",32,-3.2,3.2); + // Content + S79_PHI_0->SetBinContent(0,0.0); // underflow + S79_PHI_0->SetBinContent(1,0.185374); + S79_PHI_0->SetBinContent(2,0.726048); + S79_PHI_0->SetBinContent(3,0.4788827); + S79_PHI_0->SetBinContent(4,0.4943306); + S79_PHI_0->SetBinContent(5,0.4016436); + S79_PHI_0->SetBinContent(6,0.5561219); + S79_PHI_0->SetBinContent(7,0.4943306); + S79_PHI_0->SetBinContent(8,0.4479871); + S79_PHI_0->SetBinContent(9,0.3707479); + S79_PHI_0->SetBinContent(10,0.5097784); + S79_PHI_0->SetBinContent(11,0.4170914); + S79_PHI_0->SetBinContent(12,0.633361); + S79_PHI_0->SetBinContent(13,0.4325392); + S79_PHI_0->SetBinContent(14,0.6797045); + S79_PHI_0->SetBinContent(15,0.4634349); + S79_PHI_0->SetBinContent(16,0.4479871); + S79_PHI_0->SetBinContent(17,0.3553001); + S79_PHI_0->SetBinContent(18,0.4325392); + S79_PHI_0->SetBinContent(19,0.5252262); + S79_PHI_0->SetBinContent(20,0.3861957); + S79_PHI_0->SetBinContent(21,0.5715697); + S79_PHI_0->SetBinContent(22,0.6024654); + S79_PHI_0->SetBinContent(23,0.4479871); + S79_PHI_0->SetBinContent(24,0.3707479); + S79_PHI_0->SetBinContent(25,0.5715697); + S79_PHI_0->SetBinContent(26,0.633361); + S79_PHI_0->SetBinContent(27,0.3553001); + S79_PHI_0->SetBinContent(28,0.5561219); + S79_PHI_0->SetBinContent(29,0.6179132); + S79_PHI_0->SetBinContent(30,0.4325392); + S79_PHI_0->SetBinContent(31,0.5870175); + S79_PHI_0->SetBinContent(32,0.2626131); + S79_PHI_0->SetBinContent(33,0.0); // overflow + S79_PHI_0->SetEntries(1000); + // Style + S79_PHI_0->SetLineColor(9); + S79_PHI_0->SetLineStyle(1); + S79_PHI_0->SetLineWidth(1); + S79_PHI_0->SetFillColor(9); + S79_PHI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_158","mystack"); + stack->Add(S79_PHI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#phi [ b ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_78.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_78.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_78.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_78.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_78.py new file mode 100644 index 00000000..15299e6f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_78.py @@ -0,0 +1,62 @@ +def selection_78(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) + + # Creating weights for histo: y79_PHI_0 + y79_PHI_0_weights = numpy.array([0.185374,0.726048,0.4788827,0.4943306,0.4016436,0.5561219,0.4943306,0.4479871,0.3707479,0.5097784,0.4170914,0.633361,0.4325392,0.6797045,0.4634349,0.4479871,0.3553001,0.4325392,0.5252262,0.3861957,0.5715697,0.6024654,0.4479871,0.3707479,0.5715697,0.633361,0.3553001,0.5561219,0.6179132,0.4325392,0.5870175,0.2626131]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y79_PHI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\phi$ $[ b ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y79_PHI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y79_PHI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_78.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_78.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_78.eps') + +# Running! +if __name__ == '__main__': + selection_78() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_79.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_79.C new file mode 100644 index 00000000..09f38fb0 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_79.C @@ -0,0 +1,117 @@ +void selection_79() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo159","canvas_plotflow_tempo159",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S80_E_0 = new TH1F("S80_E_0","S80_E_0",50,0.0,2000.0); + // Content + S80_E_0->SetBinContent(0,0.0); // underflow + S80_E_0->SetBinContent(1,0.8341828); + S80_E_0->SetBinContent(2,4.186362); + S80_E_0->SetBinContent(3,3.831062); + S80_E_0->SetBinContent(4,2.224487); + S80_E_0->SetBinContent(5,1.359409); + S80_E_0->SetBinContent(6,0.8650785); + S80_E_0->SetBinContent(7,0.7414958); + S80_E_0->SetBinContent(8,0.3553001); + S80_E_0->SetBinContent(9,0.2780609); + S80_E_0->SetBinContent(10,0.2008218); + S80_E_0->SetBinContent(11,0.1235826); + S80_E_0->SetBinContent(12,0.1235826); + S80_E_0->SetBinContent(13,0.1390305); + S80_E_0->SetBinContent(14,0.07723915); + S80_E_0->SetBinContent(15,0.06179132); + S80_E_0->SetBinContent(16,0.01544783); + S80_E_0->SetBinContent(17,0.01544783); + S80_E_0->SetBinContent(18,0.0); + S80_E_0->SetBinContent(19,0.0); + S80_E_0->SetBinContent(20,0.0); + S80_E_0->SetBinContent(21,0.0); + S80_E_0->SetBinContent(22,0.0); + S80_E_0->SetBinContent(23,0.0); + S80_E_0->SetBinContent(24,0.01544783); + S80_E_0->SetBinContent(25,0.0); + S80_E_0->SetBinContent(26,0.0); + S80_E_0->SetBinContent(27,0.0); + S80_E_0->SetBinContent(28,0.0); + S80_E_0->SetBinContent(29,0.0); + S80_E_0->SetBinContent(30,0.0); + S80_E_0->SetBinContent(31,0.0); + S80_E_0->SetBinContent(32,0.0); + S80_E_0->SetBinContent(33,0.0); + S80_E_0->SetBinContent(34,0.0); + S80_E_0->SetBinContent(35,0.0); + S80_E_0->SetBinContent(36,0.0); + S80_E_0->SetBinContent(37,0.0); + S80_E_0->SetBinContent(38,0.0); + S80_E_0->SetBinContent(39,0.0); + S80_E_0->SetBinContent(40,0.0); + S80_E_0->SetBinContent(41,0.0); + S80_E_0->SetBinContent(42,0.0); + S80_E_0->SetBinContent(43,0.0); + S80_E_0->SetBinContent(44,0.0); + S80_E_0->SetBinContent(45,0.0); + S80_E_0->SetBinContent(46,0.0); + S80_E_0->SetBinContent(47,0.0); + S80_E_0->SetBinContent(48,0.0); + S80_E_0->SetBinContent(49,0.0); + S80_E_0->SetBinContent(50,0.0); + S80_E_0->SetBinContent(51,0.0); // overflow + S80_E_0->SetEntries(1000); + // Style + S80_E_0->SetLineColor(9); + S80_E_0->SetLineStyle(1); + S80_E_0->SetLineWidth(1); + S80_E_0->SetFillColor(9); + S80_E_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_160","mystack"); + stack->Add(S80_E_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E [ b ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_79.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_79.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_79.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_79.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_79.py new file mode 100644 index 00000000..ac5fba9e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_79.py @@ -0,0 +1,62 @@ +def selection_79(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y80_E_0 + y80_E_0_weights = numpy.array([0.8341828,4.186362,3.831062,2.224487,1.359409,0.8650785,0.7414958,0.3553001,0.2780609,0.2008218,0.1235826,0.1235826,0.1390305,0.07723915,0.06179132,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y80_E_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E$ $[ b ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y80_E_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y80_E_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_79.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_79.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_79.eps') + +# Running! +if __name__ == '__main__': + selection_79() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_8.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_8.C new file mode 100644 index 00000000..e67a561a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_8.C @@ -0,0 +1,105 @@ +void selection_8() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo17","canvas_plotflow_tempo17",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S9_NPID_0 = new TH1F("S9_NPID_0","S9_NPID_0",18,0.0,18); + // Content + S9_NPID_0->SetBinContent(0,0.0); // underflow + S9_NPID_0->SetBinContent(1,4.078227); + S9_NPID_0->SetBinContent(2,3.553001); + S9_NPID_0->SetBinContent(3,3.583897); + S9_NPID_0->SetBinContent(4,4.232705); + S9_NPID_0->SetBinContent(5,15.44783); + S9_NPID_0->SetBinContent(6,3.692031); + S9_NPID_0->SetBinContent(7,3.614792); + S9_NPID_0->SetBinContent(8,4.093675); + S9_NPID_0->SetBinContent(9,4.047331); + S9_NPID_0->SetBinContent(10,4.093675); + S9_NPID_0->SetBinContent(11,4.047331); + S9_NPID_0->SetBinContent(12,3.692031); + S9_NPID_0->SetBinContent(13,3.614792); + S9_NPID_0->SetBinContent(14,15.44783); + S9_NPID_0->SetBinContent(15,3.583897); + S9_NPID_0->SetBinContent(16,4.232705); + S9_NPID_0->SetBinContent(17,4.078227); + S9_NPID_0->SetBinContent(18,3.553001); + S9_NPID_0->SetBinContent(19,0.0); // overflow + S9_NPID_0->SetEntries(0); + // Style + S9_NPID_0->SetLineColor(9); + S9_NPID_0->SetLineStyle(1); + S9_NPID_0->SetLineWidth(1); + S9_NPID_0->SetFillColor(9); + S9_NPID_0->SetFillStyle(1001); + S9_NPID_0->SetBarWidth(0.8); + S9_NPID_0->SetBarOffset(0.1); + + // Creating a new THStack + THStack* stack = new THStack("mystack_18","mystack"); + stack->Add(S9_NPID_0); + stack->Draw("bar1"); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of particles (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("NPID "); + stack->GetXaxis()->SetBinLabel(1,"vm~"); + stack->GetXaxis()->SetBinLabel(2,"mu+"); + stack->GetXaxis()->SetBinLabel(3,"ve~"); + stack->GetXaxis()->SetBinLabel(4,"e+"); + stack->GetXaxis()->SetBinLabel(5,"b~"); + stack->GetXaxis()->SetBinLabel(6,"c~"); + stack->GetXaxis()->SetBinLabel(7,"s~"); + stack->GetXaxis()->SetBinLabel(8,"u~"); + stack->GetXaxis()->SetBinLabel(9,"d~"); + stack->GetXaxis()->SetBinLabel(10,"d"); + stack->GetXaxis()->SetBinLabel(11,"u"); + stack->GetXaxis()->SetBinLabel(12,"s"); + stack->GetXaxis()->SetBinLabel(13,"c"); + stack->GetXaxis()->SetBinLabel(14,"b"); + stack->GetXaxis()->SetBinLabel(15,"e-"); + stack->GetXaxis()->SetBinLabel(16,"ve"); + stack->GetXaxis()->SetBinLabel(17,"mu-"); + stack->GetXaxis()->SetBinLabel(18,"vm"); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_8.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_8.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_8.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_8.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_8.py new file mode 100644 index 00000000..736eb9ef --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_8.py @@ -0,0 +1,66 @@ +def selection_8(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,18,19,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5,12.5,13.5,14.5,15.5,16.5,17.5]) + + # Creating weights for histo: y9_NPID_0 + y9_NPID_0_weights = numpy.array([4.078227,3.553001,3.583897,4.232705,15.44783,3.692031,3.614792,4.093675,4.047331,4.093675,4.047331,3.692031,3.614792,15.44783,3.583897,4.232705,4.078227,3.553001]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y9_NPID_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$NPID$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ \mathrm{particles}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y9_NPID_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y9_NPID_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Labels for x-Axis + xLabels = numpy.array(["vm~","mu+","ve~","e+","b~","c~","s~","u~","d~","d","u","s","c","b","e-","ve","mu-","vm"]) + plt.xticks(xData, xLabels, rotation="vertical") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_8.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_8.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_8.eps') + +# Running! +if __name__ == '__main__': + selection_8() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_80.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_80.C new file mode 100644 index 00000000..fead93f0 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_80.C @@ -0,0 +1,117 @@ +void selection_80() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo161","canvas_plotflow_tempo161",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S81_ET_0 = new TH1F("S81_ET_0","S81_ET_0",50,0.0,2000.0); + // Content + S81_ET_0->SetBinContent(0,0.0); // underflow + S81_ET_0->SetBinContent(1,2.718818); + S81_ET_0->SetBinContent(2,7.337719); + S81_ET_0->SetBinContent(3,3.722927); + S81_ET_0->SetBinContent(4,1.251274); + S81_ET_0->SetBinContent(5,0.2317174); + S81_ET_0->SetBinContent(6,0.1235826); + S81_ET_0->SetBinContent(7,0.03089566); + S81_ET_0->SetBinContent(8,0.03089566); + S81_ET_0->SetBinContent(9,0.0); + S81_ET_0->SetBinContent(10,0.0); + S81_ET_0->SetBinContent(11,0.0); + S81_ET_0->SetBinContent(12,0.0); + S81_ET_0->SetBinContent(13,0.0); + S81_ET_0->SetBinContent(14,0.0); + S81_ET_0->SetBinContent(15,0.0); + S81_ET_0->SetBinContent(16,0.0); + S81_ET_0->SetBinContent(17,0.0); + S81_ET_0->SetBinContent(18,0.0); + S81_ET_0->SetBinContent(19,0.0); + S81_ET_0->SetBinContent(20,0.0); + S81_ET_0->SetBinContent(21,0.0); + S81_ET_0->SetBinContent(22,0.0); + S81_ET_0->SetBinContent(23,0.0); + S81_ET_0->SetBinContent(24,0.0); + S81_ET_0->SetBinContent(25,0.0); + S81_ET_0->SetBinContent(26,0.0); + S81_ET_0->SetBinContent(27,0.0); + S81_ET_0->SetBinContent(28,0.0); + S81_ET_0->SetBinContent(29,0.0); + S81_ET_0->SetBinContent(30,0.0); + S81_ET_0->SetBinContent(31,0.0); + S81_ET_0->SetBinContent(32,0.0); + S81_ET_0->SetBinContent(33,0.0); + S81_ET_0->SetBinContent(34,0.0); + S81_ET_0->SetBinContent(35,0.0); + S81_ET_0->SetBinContent(36,0.0); + S81_ET_0->SetBinContent(37,0.0); + S81_ET_0->SetBinContent(38,0.0); + S81_ET_0->SetBinContent(39,0.0); + S81_ET_0->SetBinContent(40,0.0); + S81_ET_0->SetBinContent(41,0.0); + S81_ET_0->SetBinContent(42,0.0); + S81_ET_0->SetBinContent(43,0.0); + S81_ET_0->SetBinContent(44,0.0); + S81_ET_0->SetBinContent(45,0.0); + S81_ET_0->SetBinContent(46,0.0); + S81_ET_0->SetBinContent(47,0.0); + S81_ET_0->SetBinContent(48,0.0); + S81_ET_0->SetBinContent(49,0.0); + S81_ET_0->SetBinContent(50,0.0); + S81_ET_0->SetBinContent(51,0.0); // overflow + S81_ET_0->SetEntries(1000); + // Style + S81_ET_0->SetLineColor(9); + S81_ET_0->SetLineStyle(1); + S81_ET_0->SetLineWidth(1); + S81_ET_0->SetFillColor(9); + S81_ET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_162","mystack"); + stack->Add(S81_ET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E_{T} [ b ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_80.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_80.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_80.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_80.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_80.py new file mode 100644 index 00000000..c43e5ef3 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_80.py @@ -0,0 +1,62 @@ +def selection_80(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y81_ET_0 + y81_ET_0_weights = numpy.array([2.718818,7.337719,3.722927,1.251274,0.2317174,0.1235826,0.03089566,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y81_ET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E_{T}$ $[ b ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y81_ET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y81_ET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_80.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_80.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_80.eps') + +# Running! +if __name__ == '__main__': + selection_80() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_81.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_81.C new file mode 100644 index 00000000..1fa5634c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_81.C @@ -0,0 +1,117 @@ +void selection_81() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo163","canvas_plotflow_tempo163",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S82_M_0 = new TH1F("S82_M_0","S82_M_0",50,0.0,50.0); + // Content + S82_M_0->SetBinContent(0,0.0); // underflow + S82_M_0->SetBinContent(1,0.0); + S82_M_0->SetBinContent(2,0.0); + S82_M_0->SetBinContent(3,0.0); + S82_M_0->SetBinContent(4,0.0); + S82_M_0->SetBinContent(5,15.44783); + S82_M_0->SetBinContent(6,0.0); + S82_M_0->SetBinContent(7,0.0); + S82_M_0->SetBinContent(8,0.0); + S82_M_0->SetBinContent(9,0.0); + S82_M_0->SetBinContent(10,0.0); + S82_M_0->SetBinContent(11,0.0); + S82_M_0->SetBinContent(12,0.0); + S82_M_0->SetBinContent(13,0.0); + S82_M_0->SetBinContent(14,0.0); + S82_M_0->SetBinContent(15,0.0); + S82_M_0->SetBinContent(16,0.0); + S82_M_0->SetBinContent(17,0.0); + S82_M_0->SetBinContent(18,0.0); + S82_M_0->SetBinContent(19,0.0); + S82_M_0->SetBinContent(20,0.0); + S82_M_0->SetBinContent(21,0.0); + S82_M_0->SetBinContent(22,0.0); + S82_M_0->SetBinContent(23,0.0); + S82_M_0->SetBinContent(24,0.0); + S82_M_0->SetBinContent(25,0.0); + S82_M_0->SetBinContent(26,0.0); + S82_M_0->SetBinContent(27,0.0); + S82_M_0->SetBinContent(28,0.0); + S82_M_0->SetBinContent(29,0.0); + S82_M_0->SetBinContent(30,0.0); + S82_M_0->SetBinContent(31,0.0); + S82_M_0->SetBinContent(32,0.0); + S82_M_0->SetBinContent(33,0.0); + S82_M_0->SetBinContent(34,0.0); + S82_M_0->SetBinContent(35,0.0); + S82_M_0->SetBinContent(36,0.0); + S82_M_0->SetBinContent(37,0.0); + S82_M_0->SetBinContent(38,0.0); + S82_M_0->SetBinContent(39,0.0); + S82_M_0->SetBinContent(40,0.0); + S82_M_0->SetBinContent(41,0.0); + S82_M_0->SetBinContent(42,0.0); + S82_M_0->SetBinContent(43,0.0); + S82_M_0->SetBinContent(44,0.0); + S82_M_0->SetBinContent(45,0.0); + S82_M_0->SetBinContent(46,0.0); + S82_M_0->SetBinContent(47,0.0); + S82_M_0->SetBinContent(48,0.0); + S82_M_0->SetBinContent(49,0.0); + S82_M_0->SetBinContent(50,0.0); + S82_M_0->SetBinContent(51,0.0); // overflow + S82_M_0->SetEntries(1000); + // Style + S82_M_0->SetLineColor(9); + S82_M_0->SetLineStyle(1); + S82_M_0->SetLineWidth(1); + S82_M_0->SetFillColor(9); + S82_M_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_164","mystack"); + stack->Add(S82_M_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M [ b ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_81.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_81.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_81.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_81.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_81.py new file mode 100644 index 00000000..4a84e99c --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_81.py @@ -0,0 +1,62 @@ +def selection_81(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,50.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5,12.5,13.5,14.5,15.5,16.5,17.5,18.5,19.5,20.5,21.5,22.5,23.5,24.5,25.5,26.5,27.5,28.5,29.5,30.5,31.5,32.5,33.5,34.5,35.5,36.5,37.5,38.5,39.5,40.5,41.5,42.5,43.5,44.5,45.5,46.5,47.5,48.5,49.5]) + + # Creating weights for histo: y82_M_0 + y82_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,15.44783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y82_M_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M$ $[ b ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y82_M_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y82_M_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_81.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_81.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_81.eps') + +# Running! +if __name__ == '__main__': + selection_81() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_82.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_82.C new file mode 100644 index 00000000..f789a10d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_82.C @@ -0,0 +1,117 @@ +void selection_82() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo165","canvas_plotflow_tempo165",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S83_MT_0 = new TH1F("S83_MT_0","S83_MT_0",50,0.0,1000.0); + // Content + S83_MT_0->SetBinContent(0,0.0); // underflow + S83_MT_0->SetBinContent(1,15.44783); + S83_MT_0->SetBinContent(2,0.0); + S83_MT_0->SetBinContent(3,0.0); + S83_MT_0->SetBinContent(4,0.0); + S83_MT_0->SetBinContent(5,0.0); + S83_MT_0->SetBinContent(6,0.0); + S83_MT_0->SetBinContent(7,0.0); + S83_MT_0->SetBinContent(8,0.0); + S83_MT_0->SetBinContent(9,0.0); + S83_MT_0->SetBinContent(10,0.0); + S83_MT_0->SetBinContent(11,0.0); + S83_MT_0->SetBinContent(12,0.0); + S83_MT_0->SetBinContent(13,0.0); + S83_MT_0->SetBinContent(14,0.0); + S83_MT_0->SetBinContent(15,0.0); + S83_MT_0->SetBinContent(16,0.0); + S83_MT_0->SetBinContent(17,0.0); + S83_MT_0->SetBinContent(18,0.0); + S83_MT_0->SetBinContent(19,0.0); + S83_MT_0->SetBinContent(20,0.0); + S83_MT_0->SetBinContent(21,0.0); + S83_MT_0->SetBinContent(22,0.0); + S83_MT_0->SetBinContent(23,0.0); + S83_MT_0->SetBinContent(24,0.0); + S83_MT_0->SetBinContent(25,0.0); + S83_MT_0->SetBinContent(26,0.0); + S83_MT_0->SetBinContent(27,0.0); + S83_MT_0->SetBinContent(28,0.0); + S83_MT_0->SetBinContent(29,0.0); + S83_MT_0->SetBinContent(30,0.0); + S83_MT_0->SetBinContent(31,0.0); + S83_MT_0->SetBinContent(32,0.0); + S83_MT_0->SetBinContent(33,0.0); + S83_MT_0->SetBinContent(34,0.0); + S83_MT_0->SetBinContent(35,0.0); + S83_MT_0->SetBinContent(36,0.0); + S83_MT_0->SetBinContent(37,0.0); + S83_MT_0->SetBinContent(38,0.0); + S83_MT_0->SetBinContent(39,0.0); + S83_MT_0->SetBinContent(40,0.0); + S83_MT_0->SetBinContent(41,0.0); + S83_MT_0->SetBinContent(42,0.0); + S83_MT_0->SetBinContent(43,0.0); + S83_MT_0->SetBinContent(44,0.0); + S83_MT_0->SetBinContent(45,0.0); + S83_MT_0->SetBinContent(46,0.0); + S83_MT_0->SetBinContent(47,0.0); + S83_MT_0->SetBinContent(48,0.0); + S83_MT_0->SetBinContent(49,0.0); + S83_MT_0->SetBinContent(50,0.0); + S83_MT_0->SetBinContent(51,0.0); // overflow + S83_MT_0->SetEntries(1000); + // Style + S83_MT_0->SetLineColor(9); + S83_MT_0->SetLineStyle(1); + S83_MT_0->SetLineWidth(1); + S83_MT_0->SetFillColor(9); + S83_MT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_166","mystack"); + stack->Add(S83_MT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ b ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_82.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_82.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_82.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_82.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_82.py new file mode 100644 index 00000000..135660e0 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_82.py @@ -0,0 +1,62 @@ +def selection_82(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y83_MT_0 + y83_MT_0_weights = numpy.array([15.44783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y83_MT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ b ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y83_MT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y83_MT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_82.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_82.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_82.eps') + +# Running! +if __name__ == '__main__': + selection_82() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_83.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_83.C new file mode 100644 index 00000000..533a4474 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_83.C @@ -0,0 +1,117 @@ +void selection_83() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo167","canvas_plotflow_tempo167",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S84_MT_MET_0 = new TH1F("S84_MT_MET_0","S84_MT_MET_0",50,0.0,1000.0); + // Content + S84_MT_MET_0->SetBinContent(0,0.0); // underflow + S84_MT_MET_0->SetBinContent(1,1.266722); + S84_MT_MET_0->SetBinContent(2,1.683813); + S84_MT_MET_0->SetBinContent(3,1.930979); + S84_MT_MET_0->SetBinContent(4,2.224487); + S84_MT_MET_0->SetBinContent(5,2.579788); + S84_MT_MET_0->SetBinContent(6,2.502548); + S84_MT_MET_0->SetBinContent(7,1.405753); + S84_MT_MET_0->SetBinContent(8,0.8805263); + S84_MT_MET_0->SetBinContent(9,0.3398523); + S84_MT_MET_0->SetBinContent(10,0.1699261); + S84_MT_MET_0->SetBinContent(11,0.09268698); + S84_MT_MET_0->SetBinContent(12,0.1235826); + S84_MT_MET_0->SetBinContent(13,0.06179132); + S84_MT_MET_0->SetBinContent(14,0.04634349); + S84_MT_MET_0->SetBinContent(15,0.06179132); + S84_MT_MET_0->SetBinContent(16,0.03089566); + S84_MT_MET_0->SetBinContent(17,0.01544783); + S84_MT_MET_0->SetBinContent(18,0.0); + S84_MT_MET_0->SetBinContent(19,0.0); + S84_MT_MET_0->SetBinContent(20,0.0); + S84_MT_MET_0->SetBinContent(21,0.0); + S84_MT_MET_0->SetBinContent(22,0.0); + S84_MT_MET_0->SetBinContent(23,0.01544783); + S84_MT_MET_0->SetBinContent(24,0.0); + S84_MT_MET_0->SetBinContent(25,0.0); + S84_MT_MET_0->SetBinContent(26,0.0); + S84_MT_MET_0->SetBinContent(27,0.0); + S84_MT_MET_0->SetBinContent(28,0.0); + S84_MT_MET_0->SetBinContent(29,0.0); + S84_MT_MET_0->SetBinContent(30,0.0); + S84_MT_MET_0->SetBinContent(31,0.01544783); + S84_MT_MET_0->SetBinContent(32,0.0); + S84_MT_MET_0->SetBinContent(33,0.0); + S84_MT_MET_0->SetBinContent(34,0.0); + S84_MT_MET_0->SetBinContent(35,0.0); + S84_MT_MET_0->SetBinContent(36,0.0); + S84_MT_MET_0->SetBinContent(37,0.0); + S84_MT_MET_0->SetBinContent(38,0.0); + S84_MT_MET_0->SetBinContent(39,0.0); + S84_MT_MET_0->SetBinContent(40,0.0); + S84_MT_MET_0->SetBinContent(41,0.0); + S84_MT_MET_0->SetBinContent(42,0.0); + S84_MT_MET_0->SetBinContent(43,0.0); + S84_MT_MET_0->SetBinContent(44,0.0); + S84_MT_MET_0->SetBinContent(45,0.0); + S84_MT_MET_0->SetBinContent(46,0.0); + S84_MT_MET_0->SetBinContent(47,0.0); + S84_MT_MET_0->SetBinContent(48,0.0); + S84_MT_MET_0->SetBinContent(49,0.0); + S84_MT_MET_0->SetBinContent(50,0.0); + S84_MT_MET_0->SetBinContent(51,0.0); // overflow + S84_MT_MET_0->SetEntries(1000); + // Style + S84_MT_MET_0->SetLineColor(9); + S84_MT_MET_0->SetLineStyle(1); + S84_MT_MET_0->SetLineWidth(1); + S84_MT_MET_0->SetFillColor(9); + S84_MT_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_168","mystack"); + stack->Add(S84_MT_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ b ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_83.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_83.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_83.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_83.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_83.py new file mode 100644 index 00000000..11890f20 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_83.py @@ -0,0 +1,62 @@ +def selection_83(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y84_MT_MET_0 + y84_MT_MET_0_weights = numpy.array([1.266722,1.683813,1.930979,2.224487,2.579788,2.502548,1.405753,0.8805263,0.3398523,0.1699261,0.09268698,0.1235826,0.06179132,0.04634349,0.06179132,0.03089566,0.01544783,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y84_MT_MET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ b ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y84_MT_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y84_MT_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_83.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_83.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_83.eps') + +# Running! +if __name__ == '__main__': + selection_83() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_84.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_84.C new file mode 100644 index 00000000..db703e17 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_84.C @@ -0,0 +1,117 @@ +void selection_84() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo169","canvas_plotflow_tempo169",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S85_P_0 = new TH1F("S85_P_0","S85_P_0",50,0.0,2000.0); + // Content + S85_P_0->SetBinContent(0,0.0); // underflow + S85_P_0->SetBinContent(1,0.8496306); + S85_P_0->SetBinContent(2,4.170914); + S85_P_0->SetBinContent(3,3.84651); + S85_P_0->SetBinContent(4,2.224487); + S85_P_0->SetBinContent(5,1.343961); + S85_P_0->SetBinContent(6,0.8650785); + S85_P_0->SetBinContent(7,0.7414958); + S85_P_0->SetBinContent(8,0.3553001); + S85_P_0->SetBinContent(9,0.2780609); + S85_P_0->SetBinContent(10,0.2008218); + S85_P_0->SetBinContent(11,0.1235826); + S85_P_0->SetBinContent(12,0.1235826); + S85_P_0->SetBinContent(13,0.1390305); + S85_P_0->SetBinContent(14,0.07723915); + S85_P_0->SetBinContent(15,0.06179132); + S85_P_0->SetBinContent(16,0.01544783); + S85_P_0->SetBinContent(17,0.01544783); + S85_P_0->SetBinContent(18,0.0); + S85_P_0->SetBinContent(19,0.0); + S85_P_0->SetBinContent(20,0.0); + S85_P_0->SetBinContent(21,0.0); + S85_P_0->SetBinContent(22,0.0); + S85_P_0->SetBinContent(23,0.0); + S85_P_0->SetBinContent(24,0.01544783); + S85_P_0->SetBinContent(25,0.0); + S85_P_0->SetBinContent(26,0.0); + S85_P_0->SetBinContent(27,0.0); + S85_P_0->SetBinContent(28,0.0); + S85_P_0->SetBinContent(29,0.0); + S85_P_0->SetBinContent(30,0.0); + S85_P_0->SetBinContent(31,0.0); + S85_P_0->SetBinContent(32,0.0); + S85_P_0->SetBinContent(33,0.0); + S85_P_0->SetBinContent(34,0.0); + S85_P_0->SetBinContent(35,0.0); + S85_P_0->SetBinContent(36,0.0); + S85_P_0->SetBinContent(37,0.0); + S85_P_0->SetBinContent(38,0.0); + S85_P_0->SetBinContent(39,0.0); + S85_P_0->SetBinContent(40,0.0); + S85_P_0->SetBinContent(41,0.0); + S85_P_0->SetBinContent(42,0.0); + S85_P_0->SetBinContent(43,0.0); + S85_P_0->SetBinContent(44,0.0); + S85_P_0->SetBinContent(45,0.0); + S85_P_0->SetBinContent(46,0.0); + S85_P_0->SetBinContent(47,0.0); + S85_P_0->SetBinContent(48,0.0); + S85_P_0->SetBinContent(49,0.0); + S85_P_0->SetBinContent(50,0.0); + S85_P_0->SetBinContent(51,0.0); // overflow + S85_P_0->SetEntries(1000); + // Style + S85_P_0->SetLineColor(9); + S85_P_0->SetLineStyle(1); + S85_P_0->SetLineWidth(1); + S85_P_0->SetFillColor(9); + S85_P_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_170","mystack"); + stack->Add(S85_P_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p [ b ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_84.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_84.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_84.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_84.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_84.py new file mode 100644 index 00000000..dfb81ae6 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_84.py @@ -0,0 +1,62 @@ +def selection_84(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y85_P_0 + y85_P_0_weights = numpy.array([0.8496306,4.170914,3.84651,2.224487,1.343961,0.8650785,0.7414958,0.3553001,0.2780609,0.2008218,0.1235826,0.1235826,0.1390305,0.07723915,0.06179132,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y85_P_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p$ $[ b ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y85_P_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y85_P_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_84.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_84.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_84.eps') + +# Running! +if __name__ == '__main__': + selection_84() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_85.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_85.C new file mode 100644 index 00000000..881db5f3 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_85.C @@ -0,0 +1,117 @@ +void selection_85() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo171","canvas_plotflow_tempo171",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S86_PX_0 = new TH1F("S86_PX_0","S86_PX_0",50,-1000.0,1000.0); + // Content + S86_PX_0->SetBinContent(0,0.0); // underflow + S86_PX_0->SetBinContent(1,0.0); + S86_PX_0->SetBinContent(2,0.0); + S86_PX_0->SetBinContent(3,0.0); + S86_PX_0->SetBinContent(4,0.0); + S86_PX_0->SetBinContent(5,0.0); + S86_PX_0->SetBinContent(6,0.0); + S86_PX_0->SetBinContent(7,0.0); + S86_PX_0->SetBinContent(8,0.0); + S86_PX_0->SetBinContent(9,0.0); + S86_PX_0->SetBinContent(10,0.0); + S86_PX_0->SetBinContent(11,0.0); + S86_PX_0->SetBinContent(12,0.0); + S86_PX_0->SetBinContent(13,0.0); + S86_PX_0->SetBinContent(14,0.0); + S86_PX_0->SetBinContent(15,0.0); + S86_PX_0->SetBinContent(16,0.0); + S86_PX_0->SetBinContent(17,0.0); + S86_PX_0->SetBinContent(18,0.0); + S86_PX_0->SetBinContent(19,0.0); + S86_PX_0->SetBinContent(20,0.03089566); + S86_PX_0->SetBinContent(21,0.07723915); + S86_PX_0->SetBinContent(22,0.1699261); + S86_PX_0->SetBinContent(23,0.8496306); + S86_PX_0->SetBinContent(24,2.811505); + S86_PX_0->SetBinContent(25,3.98554); + S86_PX_0->SetBinContent(26,3.892853); + S86_PX_0->SetBinContent(27,2.595235); + S86_PX_0->SetBinContent(28,0.818735); + S86_PX_0->SetBinContent(29,0.1390305); + S86_PX_0->SetBinContent(30,0.04634349); + S86_PX_0->SetBinContent(31,0.03089566); + S86_PX_0->SetBinContent(32,0.0); + S86_PX_0->SetBinContent(33,0.0); + S86_PX_0->SetBinContent(34,0.0); + S86_PX_0->SetBinContent(35,0.0); + S86_PX_0->SetBinContent(36,0.0); + S86_PX_0->SetBinContent(37,0.0); + S86_PX_0->SetBinContent(38,0.0); + S86_PX_0->SetBinContent(39,0.0); + S86_PX_0->SetBinContent(40,0.0); + S86_PX_0->SetBinContent(41,0.0); + S86_PX_0->SetBinContent(42,0.0); + S86_PX_0->SetBinContent(43,0.0); + S86_PX_0->SetBinContent(44,0.0); + S86_PX_0->SetBinContent(45,0.0); + S86_PX_0->SetBinContent(46,0.0); + S86_PX_0->SetBinContent(47,0.0); + S86_PX_0->SetBinContent(48,0.0); + S86_PX_0->SetBinContent(49,0.0); + S86_PX_0->SetBinContent(50,0.0); + S86_PX_0->SetBinContent(51,0.0); // overflow + S86_PX_0->SetEntries(1000); + // Style + S86_PX_0->SetLineColor(9); + S86_PX_0->SetLineStyle(1); + S86_PX_0->SetLineWidth(1); + S86_PX_0->SetFillColor(9); + S86_PX_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_172","mystack"); + stack->Add(S86_PX_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{x} [ b ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_85.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_85.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_85.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_85.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_85.py new file mode 100644 index 00000000..b833746a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_85.py @@ -0,0 +1,62 @@ +def selection_85(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) + + # Creating weights for histo: y86_PX_0 + y86_PX_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03089566,0.07723915,0.1699261,0.8496306,2.811505,3.98554,3.892853,2.595235,0.818735,0.1390305,0.04634349,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y86_PX_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{x}$ $[ b ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y86_PX_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y86_PX_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_85.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_85.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_85.eps') + +# Running! +if __name__ == '__main__': + selection_85() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_86.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_86.C new file mode 100644 index 00000000..4c664b2e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_86.C @@ -0,0 +1,117 @@ +void selection_86() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo173","canvas_plotflow_tempo173",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S87_PY_0 = new TH1F("S87_PY_0","S87_PY_0",50,-1000.0,1000.0); + // Content + S87_PY_0->SetBinContent(0,0.0); // underflow + S87_PY_0->SetBinContent(1,0.0); + S87_PY_0->SetBinContent(2,0.0); + S87_PY_0->SetBinContent(3,0.0); + S87_PY_0->SetBinContent(4,0.0); + S87_PY_0->SetBinContent(5,0.0); + S87_PY_0->SetBinContent(6,0.0); + S87_PY_0->SetBinContent(7,0.0); + S87_PY_0->SetBinContent(8,0.0); + S87_PY_0->SetBinContent(9,0.0); + S87_PY_0->SetBinContent(10,0.0); + S87_PY_0->SetBinContent(11,0.0); + S87_PY_0->SetBinContent(12,0.0); + S87_PY_0->SetBinContent(13,0.0); + S87_PY_0->SetBinContent(14,0.0); + S87_PY_0->SetBinContent(15,0.0); + S87_PY_0->SetBinContent(16,0.0); + S87_PY_0->SetBinContent(17,0.0); + S87_PY_0->SetBinContent(18,0.0); + S87_PY_0->SetBinContent(19,0.01544783); + S87_PY_0->SetBinContent(20,0.01544783); + S87_PY_0->SetBinContent(21,0.07723915); + S87_PY_0->SetBinContent(22,0.2317174); + S87_PY_0->SetBinContent(23,0.7414958); + S87_PY_0->SetBinContent(24,2.718818); + S87_PY_0->SetBinContent(25,3.939197); + S87_PY_0->SetBinContent(26,3.692031); + S87_PY_0->SetBinContent(27,2.780609); + S87_PY_0->SetBinContent(28,0.8650785); + S87_PY_0->SetBinContent(29,0.3089566); + S87_PY_0->SetBinContent(30,0.04634349); + S87_PY_0->SetBinContent(31,0.01544783); + S87_PY_0->SetBinContent(32,0.0); + S87_PY_0->SetBinContent(33,0.0); + S87_PY_0->SetBinContent(34,0.0); + S87_PY_0->SetBinContent(35,0.0); + S87_PY_0->SetBinContent(36,0.0); + S87_PY_0->SetBinContent(37,0.0); + S87_PY_0->SetBinContent(38,0.0); + S87_PY_0->SetBinContent(39,0.0); + S87_PY_0->SetBinContent(40,0.0); + S87_PY_0->SetBinContent(41,0.0); + S87_PY_0->SetBinContent(42,0.0); + S87_PY_0->SetBinContent(43,0.0); + S87_PY_0->SetBinContent(44,0.0); + S87_PY_0->SetBinContent(45,0.0); + S87_PY_0->SetBinContent(46,0.0); + S87_PY_0->SetBinContent(47,0.0); + S87_PY_0->SetBinContent(48,0.0); + S87_PY_0->SetBinContent(49,0.0); + S87_PY_0->SetBinContent(50,0.0); + S87_PY_0->SetBinContent(51,0.0); // overflow + S87_PY_0->SetEntries(1000); + // Style + S87_PY_0->SetLineColor(9); + S87_PY_0->SetLineStyle(1); + S87_PY_0->SetLineWidth(1); + S87_PY_0->SetFillColor(9); + S87_PY_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_174","mystack"); + stack->Add(S87_PY_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{y} [ b ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_86.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_86.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_86.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_86.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_86.py new file mode 100644 index 00000000..65b4a521 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_86.py @@ -0,0 +1,62 @@ +def selection_86(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) + + # Creating weights for histo: y87_PY_0 + y87_PY_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.01544783,0.07723915,0.2317174,0.7414958,2.718818,3.939197,3.692031,2.780609,0.8650785,0.3089566,0.04634349,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y87_PY_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{y}$ $[ b ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y87_PY_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y87_PY_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_86.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_86.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_86.eps') + +# Running! +if __name__ == '__main__': + selection_86() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_87.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_87.C new file mode 100644 index 00000000..4e29726d --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_87.C @@ -0,0 +1,117 @@ +void selection_87() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo175","canvas_plotflow_tempo175",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S88_PZ_0 = new TH1F("S88_PZ_0","S88_PZ_0",50,-2000.0,2000.0); + // Content + S88_PZ_0->SetBinContent(0,0.0); // underflow + S88_PZ_0->SetBinContent(1,0.0); + S88_PZ_0->SetBinContent(2,0.0); + S88_PZ_0->SetBinContent(3,0.0); + S88_PZ_0->SetBinContent(4,0.0); + S88_PZ_0->SetBinContent(5,0.0); + S88_PZ_0->SetBinContent(6,0.0); + S88_PZ_0->SetBinContent(7,0.0); + S88_PZ_0->SetBinContent(8,0.0); + S88_PZ_0->SetBinContent(9,0.0); + S88_PZ_0->SetBinContent(10,0.0); + S88_PZ_0->SetBinContent(11,0.0); + S88_PZ_0->SetBinContent(12,0.0); + S88_PZ_0->SetBinContent(13,0.0); + S88_PZ_0->SetBinContent(14,0.0); + S88_PZ_0->SetBinContent(15,0.0); + S88_PZ_0->SetBinContent(16,0.0); + S88_PZ_0->SetBinContent(17,0.01544783); + S88_PZ_0->SetBinContent(18,0.04634349); + S88_PZ_0->SetBinContent(19,0.07723915); + S88_PZ_0->SetBinContent(20,0.185374); + S88_PZ_0->SetBinContent(21,0.1235826); + S88_PZ_0->SetBinContent(22,0.4634349); + S88_PZ_0->SetBinContent(23,0.7106002); + S88_PZ_0->SetBinContent(24,1.482992); + S88_PZ_0->SetBinContent(25,4.248153); + S88_PZ_0->SetBinContent(26,4.433527); + S88_PZ_0->SetBinContent(27,2.023666); + S88_PZ_0->SetBinContent(28,0.7723915); + S88_PZ_0->SetBinContent(29,0.4170914); + S88_PZ_0->SetBinContent(30,0.2008218); + S88_PZ_0->SetBinContent(31,0.1081348); + S88_PZ_0->SetBinContent(32,0.1081348); + S88_PZ_0->SetBinContent(33,0.01544783); + S88_PZ_0->SetBinContent(34,0.0); + S88_PZ_0->SetBinContent(35,0.0); + S88_PZ_0->SetBinContent(36,0.0); + S88_PZ_0->SetBinContent(37,0.01544783); + S88_PZ_0->SetBinContent(38,0.0); + S88_PZ_0->SetBinContent(39,0.0); + S88_PZ_0->SetBinContent(40,0.0); + S88_PZ_0->SetBinContent(41,0.0); + S88_PZ_0->SetBinContent(42,0.0); + S88_PZ_0->SetBinContent(43,0.0); + S88_PZ_0->SetBinContent(44,0.0); + S88_PZ_0->SetBinContent(45,0.0); + S88_PZ_0->SetBinContent(46,0.0); + S88_PZ_0->SetBinContent(47,0.0); + S88_PZ_0->SetBinContent(48,0.0); + S88_PZ_0->SetBinContent(49,0.0); + S88_PZ_0->SetBinContent(50,0.0); + S88_PZ_0->SetBinContent(51,0.0); // overflow + S88_PZ_0->SetEntries(1000); + // Style + S88_PZ_0->SetLineColor(9); + S88_PZ_0->SetLineStyle(1); + S88_PZ_0->SetLineWidth(1); + S88_PZ_0->SetFillColor(9); + S88_PZ_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_176","mystack"); + stack->Add(S88_PZ_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{z} [ b ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_87.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_87.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_87.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_87.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_87.py new file mode 100644 index 00000000..a33ae43b --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_87.py @@ -0,0 +1,62 @@ +def selection_87(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-2000.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-1960.0,-1880.0,-1800.0,-1720.0,-1640.0,-1560.0,-1480.0,-1400.0,-1320.0,-1240.0,-1160.0,-1080.0,-1000.0,-920.0,-840.0,-760.0,-680.0,-600.0,-520.0,-440.0,-360.0,-280.0,-200.0,-120.0,-40.0,40.0,120.0,200.0,280.0,360.0,440.0,520.0,600.0,680.0,760.0,840.0,920.0,1000.0,1080.0,1160.0,1240.0,1320.0,1400.0,1480.0,1560.0,1640.0,1720.0,1800.0,1880.0,1960.0]) + + # Creating weights for histo: y88_PZ_0 + y88_PZ_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.04634349,0.07723915,0.185374,0.1235826,0.4634349,0.7106002,1.482992,4.248153,4.433527,2.023666,0.7723915,0.4170914,0.2008218,0.1081348,0.1081348,0.01544783,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y88_PZ_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{z}$ $[ b ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y88_PZ_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y88_PZ_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_87.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_87.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_87.eps') + +# Running! +if __name__ == '__main__': + selection_87() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_88.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_88.C new file mode 100644 index 00000000..b351c85e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_88.C @@ -0,0 +1,117 @@ +void selection_88() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo177","canvas_plotflow_tempo177",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S89_R_0 = new TH1F("S89_R_0","S89_R_0",50,0.0,10.0); + // Content + S89_R_0->SetBinContent(0,0.0); // underflow + S89_R_0->SetBinContent(1,0.06179132); + S89_R_0->SetBinContent(2,0.3244044); + S89_R_0->SetBinContent(3,0.4634349); + S89_R_0->SetBinContent(4,0.540674); + S89_R_0->SetBinContent(5,0.911422); + S89_R_0->SetBinContent(6,0.8650785); + S89_R_0->SetBinContent(7,1.004109); + S89_R_0->SetBinContent(8,0.8341828); + S89_R_0->SetBinContent(9,1.158587); + S89_R_0->SetBinContent(10,1.035005); + S89_R_0->SetBinContent(11,1.158587); + S89_R_0->SetBinContent(12,1.158587); + S89_R_0->SetBinContent(13,1.189483); + S89_R_0->SetBinContent(14,1.174035); + S89_R_0->SetBinContent(15,1.297618); + S89_R_0->SetBinContent(16,1.096796); + S89_R_0->SetBinContent(17,0.5715697); + S89_R_0->SetBinContent(18,0.2935088); + S89_R_0->SetBinContent(19,0.1235826); + S89_R_0->SetBinContent(20,0.1235826); + S89_R_0->SetBinContent(21,0.04634349); + S89_R_0->SetBinContent(22,0.01544783); + S89_R_0->SetBinContent(23,0.0); + S89_R_0->SetBinContent(24,0.0); + S89_R_0->SetBinContent(25,0.0); + S89_R_0->SetBinContent(26,0.0); + S89_R_0->SetBinContent(27,0.0); + S89_R_0->SetBinContent(28,0.0); + S89_R_0->SetBinContent(29,0.0); + S89_R_0->SetBinContent(30,0.0); + S89_R_0->SetBinContent(31,0.0); + S89_R_0->SetBinContent(32,0.0); + S89_R_0->SetBinContent(33,0.0); + S89_R_0->SetBinContent(34,0.0); + S89_R_0->SetBinContent(35,0.0); + S89_R_0->SetBinContent(36,0.0); + S89_R_0->SetBinContent(37,0.0); + S89_R_0->SetBinContent(38,0.0); + S89_R_0->SetBinContent(39,0.0); + S89_R_0->SetBinContent(40,0.0); + S89_R_0->SetBinContent(41,0.0); + S89_R_0->SetBinContent(42,0.0); + S89_R_0->SetBinContent(43,0.0); + S89_R_0->SetBinContent(44,0.0); + S89_R_0->SetBinContent(45,0.0); + S89_R_0->SetBinContent(46,0.0); + S89_R_0->SetBinContent(47,0.0); + S89_R_0->SetBinContent(48,0.0); + S89_R_0->SetBinContent(49,0.0); + S89_R_0->SetBinContent(50,0.0); + S89_R_0->SetBinContent(51,0.0); // overflow + S89_R_0->SetEntries(1000); + // Style + S89_R_0->SetLineColor(9); + S89_R_0->SetLineStyle(1); + S89_R_0->SetLineWidth(1); + S89_R_0->SetFillColor(9); + S89_R_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_178","mystack"); + stack->Add(S89_R_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("R [ b ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_88.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_88.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_88.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_88.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_88.py new file mode 100644 index 00000000..a1610c75 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_88.py @@ -0,0 +1,62 @@ +def selection_88(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) + + # Creating weights for histo: y89_R_0 + y89_R_0_weights = numpy.array([0.06179132,0.3244044,0.4634349,0.540674,0.911422,0.8650785,1.004109,0.8341828,1.158587,1.035005,1.158587,1.158587,1.189483,1.174035,1.297618,1.096796,0.5715697,0.2935088,0.1235826,0.1235826,0.04634349,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y89_R_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$R$ $[ b ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y89_R_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y89_R_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_88.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_88.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_88.eps') + +# Running! +if __name__ == '__main__': + selection_88() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_89.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_89.C new file mode 100644 index 00000000..a446af3a --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_89.C @@ -0,0 +1,117 @@ +void selection_89() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo179","canvas_plotflow_tempo179",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S90_Y_0 = new TH1F("S90_Y_0","S90_Y_0",50,-8.0,8.0); + // Content + S90_Y_0->SetBinContent(0,0.0); // underflow + S90_Y_0->SetBinContent(1,0.0); + S90_Y_0->SetBinContent(2,0.0); + S90_Y_0->SetBinContent(3,0.0); + S90_Y_0->SetBinContent(4,0.0); + S90_Y_0->SetBinContent(5,0.0); + S90_Y_0->SetBinContent(6,0.0); + S90_Y_0->SetBinContent(7,0.0); + S90_Y_0->SetBinContent(8,0.0); + S90_Y_0->SetBinContent(9,0.0); + S90_Y_0->SetBinContent(10,0.0); + S90_Y_0->SetBinContent(11,0.0); + S90_Y_0->SetBinContent(12,0.0); + S90_Y_0->SetBinContent(13,0.0); + S90_Y_0->SetBinContent(14,0.01544783); + S90_Y_0->SetBinContent(15,0.04634349); + S90_Y_0->SetBinContent(16,0.06179132); + S90_Y_0->SetBinContent(17,0.2008218); + S90_Y_0->SetBinContent(18,0.3861957); + S90_Y_0->SetBinContent(19,0.3244044); + S90_Y_0->SetBinContent(20,0.4634349); + S90_Y_0->SetBinContent(21,0.8032872); + S90_Y_0->SetBinContent(22,1.035005); + S90_Y_0->SetBinContent(23,1.328513); + S90_Y_0->SetBinContent(24,1.189483); + S90_Y_0->SetBinContent(25,1.498439); + S90_Y_0->SetBinContent(26,1.544783); + S90_Y_0->SetBinContent(27,1.405753); + S90_Y_0->SetBinContent(28,1.544783); + S90_Y_0->SetBinContent(29,1.0659); + S90_Y_0->SetBinContent(30,0.7878393); + S90_Y_0->SetBinContent(31,0.7106002); + S90_Y_0->SetBinContent(32,0.3861957); + S90_Y_0->SetBinContent(33,0.3089566); + S90_Y_0->SetBinContent(34,0.2008218); + S90_Y_0->SetBinContent(35,0.1081348); + S90_Y_0->SetBinContent(36,0.03089566); + S90_Y_0->SetBinContent(37,0.0); + S90_Y_0->SetBinContent(38,0.0); + S90_Y_0->SetBinContent(39,0.0); + S90_Y_0->SetBinContent(40,0.0); + S90_Y_0->SetBinContent(41,0.0); + S90_Y_0->SetBinContent(42,0.0); + S90_Y_0->SetBinContent(43,0.0); + S90_Y_0->SetBinContent(44,0.0); + S90_Y_0->SetBinContent(45,0.0); + S90_Y_0->SetBinContent(46,0.0); + S90_Y_0->SetBinContent(47,0.0); + S90_Y_0->SetBinContent(48,0.0); + S90_Y_0->SetBinContent(49,0.0); + S90_Y_0->SetBinContent(50,0.0); + S90_Y_0->SetBinContent(51,0.0); // overflow + S90_Y_0->SetEntries(1000); + // Style + S90_Y_0->SetLineColor(9); + S90_Y_0->SetLineStyle(1); + S90_Y_0->SetLineWidth(1); + S90_Y_0->SetFillColor(9); + S90_Y_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_180","mystack"); + stack->Add(S90_Y_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("y [ b ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_89.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_89.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_89.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_89.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_89.py new file mode 100644 index 00000000..a2f8dd9f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_89.py @@ -0,0 +1,62 @@ +def selection_89(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y90_Y_0 + y90_Y_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.04634349,0.06179132,0.2008218,0.3861957,0.3244044,0.4634349,0.8032872,1.035005,1.328513,1.189483,1.498439,1.544783,1.405753,1.544783,1.0659,0.7878393,0.7106002,0.3861957,0.3089566,0.2008218,0.1081348,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y90_Y_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$y$ $[ b ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y90_Y_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y90_Y_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_89.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_89.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_89.eps') + +# Running! +if __name__ == '__main__': + selection_89() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_9.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_9.C new file mode 100644 index 00000000..d6a8d2fd --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_9.C @@ -0,0 +1,87 @@ +void selection_9() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo19","canvas_plotflow_tempo19",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S10_NAPID_0 = new TH1F("S10_NAPID_0","S10_NAPID_0",9,0.0,9); + // Content + S10_NAPID_0->SetBinContent(0,0.0); // underflow + S10_NAPID_0->SetBinContent(1,8.141006); + S10_NAPID_0->SetBinContent(2,8.141006); + S10_NAPID_0->SetBinContent(3,7.306824); + S10_NAPID_0->SetBinContent(4,7.306824); + S10_NAPID_0->SetBinContent(5,30.89566); + S10_NAPID_0->SetBinContent(6,7.816602); + S10_NAPID_0->SetBinContent(7,7.816602); + S10_NAPID_0->SetBinContent(8,7.631228); + S10_NAPID_0->SetBinContent(9,7.631228); + S10_NAPID_0->SetBinContent(10,0.0); // overflow + S10_NAPID_0->SetEntries(0); + // Style + S10_NAPID_0->SetLineColor(9); + S10_NAPID_0->SetLineStyle(1); + S10_NAPID_0->SetLineWidth(1); + S10_NAPID_0->SetFillColor(9); + S10_NAPID_0->SetFillStyle(1001); + S10_NAPID_0->SetBarWidth(0.8); + S10_NAPID_0->SetBarOffset(0.1); + + // Creating a new THStack + THStack* stack = new THStack("mystack_20","mystack"); + stack->Add(S10_NAPID_0); + stack->Draw("bar1"); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of particles (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("|NPID| "); + stack->GetXaxis()->SetBinLabel(1,"d~/d"); + stack->GetXaxis()->SetBinLabel(2,"u~/u"); + stack->GetXaxis()->SetBinLabel(3,"s~/s"); + stack->GetXaxis()->SetBinLabel(4,"c~/c"); + stack->GetXaxis()->SetBinLabel(5,"b~/b"); + stack->GetXaxis()->SetBinLabel(6,"e+/e-"); + stack->GetXaxis()->SetBinLabel(7,"ve~/ve"); + stack->GetXaxis()->SetBinLabel(8,"mu+/mu-"); + stack->GetXaxis()->SetBinLabel(9,"vm~/vm"); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_9.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_9.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_9.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_9.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_9.py new file mode 100644 index 00000000..f83b9fbe --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_9.py @@ -0,0 +1,66 @@ +def selection_9(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,9,10,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5]) + + # Creating weights for histo: y10_NAPID_0 + y10_NAPID_0_weights = numpy.array([8.141006,8.141006,7.306824,7.306824,30.89566,7.816602,7.816602,7.631228,7.631228]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y10_NAPID_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$|NPID|$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ \mathrm{particles}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y10_NAPID_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y10_NAPID_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Labels for x-Axis + xLabels = numpy.array(["d~/d","u~/u","s~/s","c~/c","b~/b","e+/e-","ve~/ve","mu+/mu-","vm~/vm"]) + plt.xticks(xData, xLabels, rotation="vertical") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_9.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_9.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_9.eps') + +# Running! +if __name__ == '__main__': + selection_9() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_90.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_90.C new file mode 100644 index 00000000..9624a9dd --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_90.C @@ -0,0 +1,117 @@ +void selection_90() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo181","canvas_plotflow_tempo181",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S91_BETA_0 = new TH1F("S91_BETA_0","S91_BETA_0",50,0.0,1.2); + // Content + S91_BETA_0->SetBinContent(0,0.0); // underflow + S91_BETA_0->SetBinContent(1,0.0); + S91_BETA_0->SetBinContent(2,0.0); + S91_BETA_0->SetBinContent(3,0.0); + S91_BETA_0->SetBinContent(4,0.0); + S91_BETA_0->SetBinContent(5,0.0); + S91_BETA_0->SetBinContent(6,0.0); + S91_BETA_0->SetBinContent(7,0.0); + S91_BETA_0->SetBinContent(8,0.0); + S91_BETA_0->SetBinContent(9,0.0); + S91_BETA_0->SetBinContent(10,0.0); + S91_BETA_0->SetBinContent(11,0.0); + S91_BETA_0->SetBinContent(12,0.0); + S91_BETA_0->SetBinContent(13,0.0); + S91_BETA_0->SetBinContent(14,0.0); + S91_BETA_0->SetBinContent(15,0.0); + S91_BETA_0->SetBinContent(16,0.0); + S91_BETA_0->SetBinContent(17,0.0); + S91_BETA_0->SetBinContent(18,0.0); + S91_BETA_0->SetBinContent(19,0.0); + S91_BETA_0->SetBinContent(20,0.0); + S91_BETA_0->SetBinContent(21,0.0); + S91_BETA_0->SetBinContent(22,0.0); + S91_BETA_0->SetBinContent(23,0.0); + S91_BETA_0->SetBinContent(24,0.0); + S91_BETA_0->SetBinContent(25,0.0); + S91_BETA_0->SetBinContent(26,0.0); + S91_BETA_0->SetBinContent(27,0.0); + S91_BETA_0->SetBinContent(28,0.0); + S91_BETA_0->SetBinContent(29,0.0); + S91_BETA_0->SetBinContent(30,0.0); + S91_BETA_0->SetBinContent(31,0.0); + S91_BETA_0->SetBinContent(32,0.0); + S91_BETA_0->SetBinContent(33,0.0); + S91_BETA_0->SetBinContent(34,0.0); + S91_BETA_0->SetBinContent(35,0.0); + S91_BETA_0->SetBinContent(36,0.0); + S91_BETA_0->SetBinContent(37,0.0); + S91_BETA_0->SetBinContent(38,0.0); + S91_BETA_0->SetBinContent(39,0.0); + S91_BETA_0->SetBinContent(40,0.0); + S91_BETA_0->SetBinContent(41,0.1081348); + S91_BETA_0->SetBinContent(42,15.3397); + S91_BETA_0->SetBinContent(43,0.0); + S91_BETA_0->SetBinContent(44,0.0); + S91_BETA_0->SetBinContent(45,0.0); + S91_BETA_0->SetBinContent(46,0.0); + S91_BETA_0->SetBinContent(47,0.0); + S91_BETA_0->SetBinContent(48,0.0); + S91_BETA_0->SetBinContent(49,0.0); + S91_BETA_0->SetBinContent(50,0.0); + S91_BETA_0->SetBinContent(51,0.0); // overflow + S91_BETA_0->SetEntries(1000); + // Style + S91_BETA_0->SetLineColor(9); + S91_BETA_0->SetLineStyle(1); + S91_BETA_0->SetLineWidth(1); + S91_BETA_0->SetFillColor(9); + S91_BETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_182","mystack"); + stack->Add(S91_BETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#beta [ b ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_90.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_90.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_90.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_90.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_90.py new file mode 100644 index 00000000..6524f777 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_90.py @@ -0,0 +1,62 @@ +def selection_90(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1.2,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([0.012,0.036000000000000004,0.06,0.084,0.108,0.132,0.156,0.18,0.20400000000000001,0.228,0.252,0.276,0.3,0.324,0.34800000000000003,0.372,0.396,0.42,0.444,0.468,0.492,0.516,0.54,0.5640000000000001,0.588,0.612,0.636,0.66,0.684,0.708,0.732,0.756,0.78,0.804,0.8280000000000001,0.852,0.876,0.9,0.924,0.9480000000000001,0.972,0.996,1.02,1.044,1.068,1.092,1.116,1.1400000000000001,1.164,1.188]) + + # Creating weights for histo: y91_BETA_0 + y91_BETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1081348,15.3397,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y91_BETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\beta$ $[ b ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y91_BETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y91_BETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_90.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_90.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_90.eps') + +# Running! +if __name__ == '__main__': + selection_90() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_91.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_91.C new file mode 100644 index 00000000..ef71b62f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_91.C @@ -0,0 +1,117 @@ +void selection_91() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo183","canvas_plotflow_tempo183",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S92_GAMMA_0 = new TH1F("S92_GAMMA_0","S92_GAMMA_0",50,1.0,100.0); + // Content + S92_GAMMA_0->SetBinContent(0,0.0); // underflow + S92_GAMMA_0->SetBinContent(1,0.0); + S92_GAMMA_0->SetBinContent(2,0.06179132); + S92_GAMMA_0->SetBinContent(3,0.2626131); + S92_GAMMA_0->SetBinContent(4,0.6951523); + S92_GAMMA_0->SetBinContent(5,0.911422); + S92_GAMMA_0->SetBinContent(6,0.9268698); + S92_GAMMA_0->SetBinContent(7,1.112244); + S92_GAMMA_0->SetBinContent(8,0.9886611); + S92_GAMMA_0->SetBinContent(9,0.9268698); + S92_GAMMA_0->SetBinContent(10,1.050452); + S92_GAMMA_0->SetBinContent(11,0.8341828); + S92_GAMMA_0->SetBinContent(12,0.818735); + S92_GAMMA_0->SetBinContent(13,0.6024654); + S92_GAMMA_0->SetBinContent(14,0.5561219); + S92_GAMMA_0->SetBinContent(15,0.5252262); + S92_GAMMA_0->SetBinContent(16,0.5097784); + S92_GAMMA_0->SetBinContent(17,0.4479871); + S92_GAMMA_0->SetBinContent(18,0.4170914); + S92_GAMMA_0->SetBinContent(19,0.3244044); + S92_GAMMA_0->SetBinContent(20,0.2626131); + S92_GAMMA_0->SetBinContent(21,0.2008218); + S92_GAMMA_0->SetBinContent(22,0.2935088); + S92_GAMMA_0->SetBinContent(23,0.2008218); + S92_GAMMA_0->SetBinContent(24,0.2471653); + S92_GAMMA_0->SetBinContent(25,0.07723915); + S92_GAMMA_0->SetBinContent(26,0.1544783); + S92_GAMMA_0->SetBinContent(27,0.2008218); + S92_GAMMA_0->SetBinContent(28,0.2471653); + S92_GAMMA_0->SetBinContent(29,0.1699261); + S92_GAMMA_0->SetBinContent(30,0.01544783); + S92_GAMMA_0->SetBinContent(31,0.06179132); + S92_GAMMA_0->SetBinContent(32,0.07723915); + S92_GAMMA_0->SetBinContent(33,0.07723915); + S92_GAMMA_0->SetBinContent(34,0.1390305); + S92_GAMMA_0->SetBinContent(35,0.09268698); + S92_GAMMA_0->SetBinContent(36,0.04634349); + S92_GAMMA_0->SetBinContent(37,0.06179132); + S92_GAMMA_0->SetBinContent(38,0.07723915); + S92_GAMMA_0->SetBinContent(39,0.04634349); + S92_GAMMA_0->SetBinContent(40,0.03089566); + S92_GAMMA_0->SetBinContent(41,0.07723915); + S92_GAMMA_0->SetBinContent(42,0.03089566); + S92_GAMMA_0->SetBinContent(43,0.01544783); + S92_GAMMA_0->SetBinContent(44,0.03089566); + S92_GAMMA_0->SetBinContent(45,0.0); + S92_GAMMA_0->SetBinContent(46,0.04634349); + S92_GAMMA_0->SetBinContent(47,0.04634349); + S92_GAMMA_0->SetBinContent(48,0.03089566); + S92_GAMMA_0->SetBinContent(49,0.06179132); + S92_GAMMA_0->SetBinContent(50,0.0); + S92_GAMMA_0->SetBinContent(51,0.3553001); // overflow + S92_GAMMA_0->SetEntries(1000); + // Style + S92_GAMMA_0->SetLineColor(9); + S92_GAMMA_0->SetLineStyle(1); + S92_GAMMA_0->SetLineWidth(1); + S92_GAMMA_0->SetFillColor(9); + S92_GAMMA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_184","mystack"); + stack->Add(S92_GAMMA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("N. of b (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#gamma [ b ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_91.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_91.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_91.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_91.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_91.py new file mode 100644 index 00000000..ea9d7614 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_91.py @@ -0,0 +1,62 @@ +def selection_91(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(1.0,100.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([1.99,3.9699999999999998,5.95,7.93,9.91,11.89,13.87,15.85,17.83,19.81,21.79,23.77,25.75,27.73,29.71,31.69,33.67,35.65,37.63,39.61,41.589999999999996,43.57,45.55,47.53,49.51,51.49,53.47,55.45,57.43,59.41,61.39,63.37,65.35,67.33,69.31,71.29,73.27,75.25,77.23,79.21,81.19,83.17,85.15,87.13,89.11,91.09,93.07,95.05,97.03,99.01]) + + # Creating weights for histo: y92_GAMMA_0 + y92_GAMMA_0_weights = numpy.array([0.0,0.06179132,0.2626131,0.6951523,0.911422,0.9268698,1.112244,0.9886611,0.9268698,1.050452,0.8341828,0.818735,0.6024654,0.5561219,0.5252262,0.5097784,0.4479871,0.4170914,0.3244044,0.2626131,0.2008218,0.2935088,0.2008218,0.2471653,0.07723915,0.1544783,0.2008218,0.2471653,0.1699261,0.01544783,0.06179132,0.07723915,0.07723915,0.1390305,0.09268698,0.04634349,0.06179132,0.07723915,0.04634349,0.03089566,0.07723915,0.03089566,0.01544783,0.03089566,0.0,0.04634349,0.04634349,0.03089566,0.06179132,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y92_GAMMA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\gamma$ $[ b ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y92_GAMMA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y92_GAMMA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_91.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_91.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_91.eps') + +# Running! +if __name__ == '__main__': + selection_91() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_92.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_92.C new file mode 100644 index 00000000..eb6c8fb5 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_92.C @@ -0,0 +1,117 @@ +void selection_92() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo185","canvas_plotflow_tempo185",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S93_PT_0 = new TH1F("S93_PT_0","S93_PT_0",50,0.0,1000.0); + // Content + S93_PT_0->SetBinContent(0,0.0); // underflow + S93_PT_0->SetBinContent(1,0.0); + S93_PT_0->SetBinContent(2,2.734266); + S93_PT_0->SetBinContent(3,4.124571); + S93_PT_0->SetBinContent(4,3.244044); + S93_PT_0->SetBinContent(5,2.626131); + S93_PT_0->SetBinContent(6,1.0659); + S93_PT_0->SetBinContent(7,0.7878393); + S93_PT_0->SetBinContent(8,0.4479871); + S93_PT_0->SetBinContent(9,0.1699261); + S93_PT_0->SetBinContent(10,0.06179132); + S93_PT_0->SetBinContent(11,0.04634349); + S93_PT_0->SetBinContent(12,0.07723915); + S93_PT_0->SetBinContent(13,0.0); + S93_PT_0->SetBinContent(14,0.03089566); + S93_PT_0->SetBinContent(15,0.0); + S93_PT_0->SetBinContent(16,0.03089566); + S93_PT_0->SetBinContent(17,0.0); + S93_PT_0->SetBinContent(18,0.0); + S93_PT_0->SetBinContent(19,0.0); + S93_PT_0->SetBinContent(20,0.0); + S93_PT_0->SetBinContent(21,0.0); + S93_PT_0->SetBinContent(22,0.0); + S93_PT_0->SetBinContent(23,0.0); + S93_PT_0->SetBinContent(24,0.0); + S93_PT_0->SetBinContent(25,0.0); + S93_PT_0->SetBinContent(26,0.0); + S93_PT_0->SetBinContent(27,0.0); + S93_PT_0->SetBinContent(28,0.0); + S93_PT_0->SetBinContent(29,0.0); + S93_PT_0->SetBinContent(30,0.0); + S93_PT_0->SetBinContent(31,0.0); + S93_PT_0->SetBinContent(32,0.0); + S93_PT_0->SetBinContent(33,0.0); + S93_PT_0->SetBinContent(34,0.0); + S93_PT_0->SetBinContent(35,0.0); + S93_PT_0->SetBinContent(36,0.0); + S93_PT_0->SetBinContent(37,0.0); + S93_PT_0->SetBinContent(38,0.0); + S93_PT_0->SetBinContent(39,0.0); + S93_PT_0->SetBinContent(40,0.0); + S93_PT_0->SetBinContent(41,0.0); + S93_PT_0->SetBinContent(42,0.0); + S93_PT_0->SetBinContent(43,0.0); + S93_PT_0->SetBinContent(44,0.0); + S93_PT_0->SetBinContent(45,0.0); + S93_PT_0->SetBinContent(46,0.0); + S93_PT_0->SetBinContent(47,0.0); + S93_PT_0->SetBinContent(48,0.0); + S93_PT_0->SetBinContent(49,0.0); + S93_PT_0->SetBinContent(50,0.0); + S93_PT_0->SetBinContent(51,0.0); // overflow + S93_PT_0->SetEntries(1000); + // Style + S93_PT_0->SetLineColor(9); + S93_PT_0->SetLineStyle(1); + S93_PT_0->SetLineWidth(1); + S93_PT_0->SetFillColor(9); + S93_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_186","mystack"); + stack->Add(S93_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ b_{1} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_92.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_92.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_92.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_92.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_92.py new file mode 100644 index 00000000..39f917f4 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_92.py @@ -0,0 +1,62 @@ +def selection_92(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y93_PT_0 + y93_PT_0_weights = numpy.array([0.0,2.734266,4.124571,3.244044,2.626131,1.0659,0.7878393,0.4479871,0.1699261,0.06179132,0.04634349,0.07723915,0.0,0.03089566,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y93_PT_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ b_{1} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y93_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y93_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_92.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_92.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_92.eps') + +# Running! +if __name__ == '__main__': + selection_92() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_93.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_93.C new file mode 100644 index 00000000..b7c8e370 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_93.C @@ -0,0 +1,117 @@ +void selection_93() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo187","canvas_plotflow_tempo187",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S94_ETA_0 = new TH1F("S94_ETA_0","S94_ETA_0",50,-8.0,8.0); + // Content + S94_ETA_0->SetBinContent(0,0.0); // underflow + S94_ETA_0->SetBinContent(1,0.0); + S94_ETA_0->SetBinContent(2,0.0); + S94_ETA_0->SetBinContent(3,0.0); + S94_ETA_0->SetBinContent(4,0.0); + S94_ETA_0->SetBinContent(5,0.0); + S94_ETA_0->SetBinContent(6,0.0); + S94_ETA_0->SetBinContent(7,0.0); + S94_ETA_0->SetBinContent(8,0.0); + S94_ETA_0->SetBinContent(9,0.0); + S94_ETA_0->SetBinContent(10,0.0); + S94_ETA_0->SetBinContent(11,0.0); + S94_ETA_0->SetBinContent(12,0.0); + S94_ETA_0->SetBinContent(13,0.0); + S94_ETA_0->SetBinContent(14,0.01544783); + S94_ETA_0->SetBinContent(15,0.04634349); + S94_ETA_0->SetBinContent(16,0.06179132); + S94_ETA_0->SetBinContent(17,0.2008218); + S94_ETA_0->SetBinContent(18,0.4016436); + S94_ETA_0->SetBinContent(19,0.3089566); + S94_ETA_0->SetBinContent(20,0.4943306); + S94_ETA_0->SetBinContent(21,0.7723915); + S94_ETA_0->SetBinContent(22,1.050452); + S94_ETA_0->SetBinContent(23,1.328513); + S94_ETA_0->SetBinContent(24,1.204931); + S94_ETA_0->SetBinContent(25,1.467544); + S94_ETA_0->SetBinContent(26,1.529335); + S94_ETA_0->SetBinContent(27,1.405753); + S94_ETA_0->SetBinContent(28,1.560231); + S94_ETA_0->SetBinContent(29,1.050452); + S94_ETA_0->SetBinContent(30,0.8032872); + S94_ETA_0->SetBinContent(31,0.6951523); + S94_ETA_0->SetBinContent(32,0.4016436); + S94_ETA_0->SetBinContent(33,0.3089566); + S94_ETA_0->SetBinContent(34,0.2008218); + S94_ETA_0->SetBinContent(35,0.1081348); + S94_ETA_0->SetBinContent(36,0.01544783); + S94_ETA_0->SetBinContent(37,0.01544783); + S94_ETA_0->SetBinContent(38,0.0); + S94_ETA_0->SetBinContent(39,0.0); + S94_ETA_0->SetBinContent(40,0.0); + S94_ETA_0->SetBinContent(41,0.0); + S94_ETA_0->SetBinContent(42,0.0); + S94_ETA_0->SetBinContent(43,0.0); + S94_ETA_0->SetBinContent(44,0.0); + S94_ETA_0->SetBinContent(45,0.0); + S94_ETA_0->SetBinContent(46,0.0); + S94_ETA_0->SetBinContent(47,0.0); + S94_ETA_0->SetBinContent(48,0.0); + S94_ETA_0->SetBinContent(49,0.0); + S94_ETA_0->SetBinContent(50,0.0); + S94_ETA_0->SetBinContent(51,0.0); // overflow + S94_ETA_0->SetEntries(1000); + // Style + S94_ETA_0->SetLineColor(9); + S94_ETA_0->SetLineStyle(1); + S94_ETA_0->SetLineWidth(1); + S94_ETA_0->SetFillColor(9); + S94_ETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_188","mystack"); + stack->Add(S94_ETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#eta [ b_{1} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_93.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_93.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_93.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_93.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_93.py new file mode 100644 index 00000000..ef30c822 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_93.py @@ -0,0 +1,62 @@ +def selection_93(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y94_ETA_0 + y94_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.04634349,0.06179132,0.2008218,0.4016436,0.3089566,0.4943306,0.7723915,1.050452,1.328513,1.204931,1.467544,1.529335,1.405753,1.560231,1.050452,0.8032872,0.6951523,0.4016436,0.3089566,0.2008218,0.1081348,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y94_ETA_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\eta$ $[ b_{1} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y94_ETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y94_ETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_93.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_93.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_93.eps') + +# Running! +if __name__ == '__main__': + selection_93() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_94.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_94.C new file mode 100644 index 00000000..1cf528e6 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_94.C @@ -0,0 +1,99 @@ +void selection_94() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo189","canvas_plotflow_tempo189",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S95_PHI_0 = new TH1F("S95_PHI_0","S95_PHI_0",32,-3.2,3.2); + // Content + S95_PHI_0->SetBinContent(0,0.0); // underflow + S95_PHI_0->SetBinContent(1,0.185374); + S95_PHI_0->SetBinContent(2,0.726048); + S95_PHI_0->SetBinContent(3,0.4788827); + S95_PHI_0->SetBinContent(4,0.4943306); + S95_PHI_0->SetBinContent(5,0.4016436); + S95_PHI_0->SetBinContent(6,0.5561219); + S95_PHI_0->SetBinContent(7,0.4943306); + S95_PHI_0->SetBinContent(8,0.4479871); + S95_PHI_0->SetBinContent(9,0.3707479); + S95_PHI_0->SetBinContent(10,0.5097784); + S95_PHI_0->SetBinContent(11,0.4170914); + S95_PHI_0->SetBinContent(12,0.633361); + S95_PHI_0->SetBinContent(13,0.4325392); + S95_PHI_0->SetBinContent(14,0.6797045); + S95_PHI_0->SetBinContent(15,0.4634349); + S95_PHI_0->SetBinContent(16,0.4479871); + S95_PHI_0->SetBinContent(17,0.3553001); + S95_PHI_0->SetBinContent(18,0.4325392); + S95_PHI_0->SetBinContent(19,0.5252262); + S95_PHI_0->SetBinContent(20,0.3861957); + S95_PHI_0->SetBinContent(21,0.5715697); + S95_PHI_0->SetBinContent(22,0.6024654); + S95_PHI_0->SetBinContent(23,0.4479871); + S95_PHI_0->SetBinContent(24,0.3707479); + S95_PHI_0->SetBinContent(25,0.5715697); + S95_PHI_0->SetBinContent(26,0.633361); + S95_PHI_0->SetBinContent(27,0.3553001); + S95_PHI_0->SetBinContent(28,0.5561219); + S95_PHI_0->SetBinContent(29,0.6179132); + S95_PHI_0->SetBinContent(30,0.4325392); + S95_PHI_0->SetBinContent(31,0.5870175); + S95_PHI_0->SetBinContent(32,0.2626131); + S95_PHI_0->SetBinContent(33,0.0); // overflow + S95_PHI_0->SetEntries(1000); + // Style + S95_PHI_0->SetLineColor(9); + S95_PHI_0->SetLineStyle(1); + S95_PHI_0->SetLineWidth(1); + S95_PHI_0->SetFillColor(9); + S95_PHI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_190","mystack"); + stack->Add(S95_PHI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#phi [ b_{1} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_94.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_94.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_94.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_94.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_94.py new file mode 100644 index 00000000..6d918959 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_94.py @@ -0,0 +1,62 @@ +def selection_94(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) + + # Creating weights for histo: y95_PHI_0 + y95_PHI_0_weights = numpy.array([0.185374,0.726048,0.4788827,0.4943306,0.4016436,0.5561219,0.4943306,0.4479871,0.3707479,0.5097784,0.4170914,0.633361,0.4325392,0.6797045,0.4634349,0.4479871,0.3553001,0.4325392,0.5252262,0.3861957,0.5715697,0.6024654,0.4479871,0.3707479,0.5715697,0.633361,0.3553001,0.5561219,0.6179132,0.4325392,0.5870175,0.2626131]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y95_PHI_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\phi$ $[ b_{1} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y95_PHI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y95_PHI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_94.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_94.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_94.eps') + +# Running! +if __name__ == '__main__': + selection_94() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_95.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_95.C new file mode 100644 index 00000000..6449f2fb --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_95.C @@ -0,0 +1,117 @@ +void selection_95() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo191","canvas_plotflow_tempo191",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S96_E_0 = new TH1F("S96_E_0","S96_E_0",50,0.0,2000.0); + // Content + S96_E_0->SetBinContent(0,0.0); // underflow + S96_E_0->SetBinContent(1,0.8341828); + S96_E_0->SetBinContent(2,4.186362); + S96_E_0->SetBinContent(3,3.831062); + S96_E_0->SetBinContent(4,2.224487); + S96_E_0->SetBinContent(5,1.359409); + S96_E_0->SetBinContent(6,0.8650785); + S96_E_0->SetBinContent(7,0.7414958); + S96_E_0->SetBinContent(8,0.3553001); + S96_E_0->SetBinContent(9,0.2780609); + S96_E_0->SetBinContent(10,0.2008218); + S96_E_0->SetBinContent(11,0.1235826); + S96_E_0->SetBinContent(12,0.1235826); + S96_E_0->SetBinContent(13,0.1390305); + S96_E_0->SetBinContent(14,0.07723915); + S96_E_0->SetBinContent(15,0.06179132); + S96_E_0->SetBinContent(16,0.01544783); + S96_E_0->SetBinContent(17,0.01544783); + S96_E_0->SetBinContent(18,0.0); + S96_E_0->SetBinContent(19,0.0); + S96_E_0->SetBinContent(20,0.0); + S96_E_0->SetBinContent(21,0.0); + S96_E_0->SetBinContent(22,0.0); + S96_E_0->SetBinContent(23,0.0); + S96_E_0->SetBinContent(24,0.01544783); + S96_E_0->SetBinContent(25,0.0); + S96_E_0->SetBinContent(26,0.0); + S96_E_0->SetBinContent(27,0.0); + S96_E_0->SetBinContent(28,0.0); + S96_E_0->SetBinContent(29,0.0); + S96_E_0->SetBinContent(30,0.0); + S96_E_0->SetBinContent(31,0.0); + S96_E_0->SetBinContent(32,0.0); + S96_E_0->SetBinContent(33,0.0); + S96_E_0->SetBinContent(34,0.0); + S96_E_0->SetBinContent(35,0.0); + S96_E_0->SetBinContent(36,0.0); + S96_E_0->SetBinContent(37,0.0); + S96_E_0->SetBinContent(38,0.0); + S96_E_0->SetBinContent(39,0.0); + S96_E_0->SetBinContent(40,0.0); + S96_E_0->SetBinContent(41,0.0); + S96_E_0->SetBinContent(42,0.0); + S96_E_0->SetBinContent(43,0.0); + S96_E_0->SetBinContent(44,0.0); + S96_E_0->SetBinContent(45,0.0); + S96_E_0->SetBinContent(46,0.0); + S96_E_0->SetBinContent(47,0.0); + S96_E_0->SetBinContent(48,0.0); + S96_E_0->SetBinContent(49,0.0); + S96_E_0->SetBinContent(50,0.0); + S96_E_0->SetBinContent(51,0.0); // overflow + S96_E_0->SetEntries(1000); + // Style + S96_E_0->SetLineColor(9); + S96_E_0->SetLineStyle(1); + S96_E_0->SetLineWidth(1); + S96_E_0->SetFillColor(9); + S96_E_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_192","mystack"); + stack->Add(S96_E_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("E [ b_{1} ] (GeV) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_95.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_95.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_95.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_95.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_95.py new file mode 100644 index 00000000..4c448342 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_95.py @@ -0,0 +1,62 @@ +def selection_95(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) + + # Creating weights for histo: y96_E_0 + y96_E_0_weights = numpy.array([0.8341828,4.186362,3.831062,2.224487,1.359409,0.8650785,0.7414958,0.3553001,0.2780609,0.2008218,0.1235826,0.1235826,0.1390305,0.07723915,0.06179132,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y96_E_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$E$ $[ b_{1} ]$ $(GeV)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y96_E_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y96_E_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_95.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_95.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_95.eps') + +# Running! +if __name__ == '__main__': + selection_95() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_96.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_96.C new file mode 100644 index 00000000..ff565e1e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_96.C @@ -0,0 +1,117 @@ +void selection_96() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo193","canvas_plotflow_tempo193",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S97_MT_MET_0 = new TH1F("S97_MT_MET_0","S97_MT_MET_0",50,0.0,1000.0); + // Content + S97_MT_MET_0->SetBinContent(0,0.0); // underflow + S97_MT_MET_0->SetBinContent(1,1.266722); + S97_MT_MET_0->SetBinContent(2,1.683813); + S97_MT_MET_0->SetBinContent(3,1.930979); + S97_MT_MET_0->SetBinContent(4,2.224487); + S97_MT_MET_0->SetBinContent(5,2.579788); + S97_MT_MET_0->SetBinContent(6,2.502548); + S97_MT_MET_0->SetBinContent(7,1.405753); + S97_MT_MET_0->SetBinContent(8,0.8805263); + S97_MT_MET_0->SetBinContent(9,0.3398523); + S97_MT_MET_0->SetBinContent(10,0.1699261); + S97_MT_MET_0->SetBinContent(11,0.09268698); + S97_MT_MET_0->SetBinContent(12,0.1235826); + S97_MT_MET_0->SetBinContent(13,0.06179132); + S97_MT_MET_0->SetBinContent(14,0.04634349); + S97_MT_MET_0->SetBinContent(15,0.06179132); + S97_MT_MET_0->SetBinContent(16,0.03089566); + S97_MT_MET_0->SetBinContent(17,0.01544783); + S97_MT_MET_0->SetBinContent(18,0.0); + S97_MT_MET_0->SetBinContent(19,0.0); + S97_MT_MET_0->SetBinContent(20,0.0); + S97_MT_MET_0->SetBinContent(21,0.0); + S97_MT_MET_0->SetBinContent(22,0.0); + S97_MT_MET_0->SetBinContent(23,0.01544783); + S97_MT_MET_0->SetBinContent(24,0.0); + S97_MT_MET_0->SetBinContent(25,0.0); + S97_MT_MET_0->SetBinContent(26,0.0); + S97_MT_MET_0->SetBinContent(27,0.0); + S97_MT_MET_0->SetBinContent(28,0.0); + S97_MT_MET_0->SetBinContent(29,0.0); + S97_MT_MET_0->SetBinContent(30,0.0); + S97_MT_MET_0->SetBinContent(31,0.01544783); + S97_MT_MET_0->SetBinContent(32,0.0); + S97_MT_MET_0->SetBinContent(33,0.0); + S97_MT_MET_0->SetBinContent(34,0.0); + S97_MT_MET_0->SetBinContent(35,0.0); + S97_MT_MET_0->SetBinContent(36,0.0); + S97_MT_MET_0->SetBinContent(37,0.0); + S97_MT_MET_0->SetBinContent(38,0.0); + S97_MT_MET_0->SetBinContent(39,0.0); + S97_MT_MET_0->SetBinContent(40,0.0); + S97_MT_MET_0->SetBinContent(41,0.0); + S97_MT_MET_0->SetBinContent(42,0.0); + S97_MT_MET_0->SetBinContent(43,0.0); + S97_MT_MET_0->SetBinContent(44,0.0); + S97_MT_MET_0->SetBinContent(45,0.0); + S97_MT_MET_0->SetBinContent(46,0.0); + S97_MT_MET_0->SetBinContent(47,0.0); + S97_MT_MET_0->SetBinContent(48,0.0); + S97_MT_MET_0->SetBinContent(49,0.0); + S97_MT_MET_0->SetBinContent(50,0.0); + S97_MT_MET_0->SetBinContent(51,0.0); // overflow + S97_MT_MET_0->SetEntries(1000); + // Style + S97_MT_MET_0->SetLineColor(9); + S97_MT_MET_0->SetLineStyle(1); + S97_MT_MET_0->SetLineWidth(1); + S97_MT_MET_0->SetFillColor(9); + S97_MT_MET_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_194","mystack"); + stack->Add(S97_MT_MET_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("M_{T} [ b_{1} ] (GeV/c^{2}) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_96.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_96.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_96.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_96.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_96.py new file mode 100644 index 00000000..87b7a28e --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_96.py @@ -0,0 +1,62 @@ +def selection_96(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y97_MT_MET_0 + y97_MT_MET_0_weights = numpy.array([1.266722,1.683813,1.930979,2.224487,2.579788,2.502548,1.405753,0.8805263,0.3398523,0.1699261,0.09268698,0.1235826,0.06179132,0.04634349,0.06179132,0.03089566,0.01544783,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y97_MT_MET_0_weights,\ + label="$testset$", histtype="stepfilled", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$M_{T}$ $[ b_{1} ]$ $(GeV/c^{2})$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y97_MT_MET_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y97_MT_MET_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_96.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_96.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_96.eps') + +# Running! +if __name__ == '__main__': + selection_96() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_97.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_97.C new file mode 100644 index 00000000..3219d2d3 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_97.C @@ -0,0 +1,117 @@ +void selection_97() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo195","canvas_plotflow_tempo195",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S98_PT_0 = new TH1F("S98_PT_0","S98_PT_0",50,0.0,1000.0); + // Content + S98_PT_0->SetBinContent(0,0.0); // underflow + S98_PT_0->SetBinContent(1,0.0); + S98_PT_0->SetBinContent(2,0.0); + S98_PT_0->SetBinContent(3,0.0); + S98_PT_0->SetBinContent(4,0.0); + S98_PT_0->SetBinContent(5,0.0); + S98_PT_0->SetBinContent(6,0.0); + S98_PT_0->SetBinContent(7,0.0); + S98_PT_0->SetBinContent(8,0.0); + S98_PT_0->SetBinContent(9,0.0); + S98_PT_0->SetBinContent(10,0.0); + S98_PT_0->SetBinContent(11,0.0); + S98_PT_0->SetBinContent(12,0.0); + S98_PT_0->SetBinContent(13,0.0); + S98_PT_0->SetBinContent(14,0.0); + S98_PT_0->SetBinContent(15,0.0); + S98_PT_0->SetBinContent(16,0.0); + S98_PT_0->SetBinContent(17,0.0); + S98_PT_0->SetBinContent(18,0.0); + S98_PT_0->SetBinContent(19,0.0); + S98_PT_0->SetBinContent(20,0.0); + S98_PT_0->SetBinContent(21,0.0); + S98_PT_0->SetBinContent(22,0.0); + S98_PT_0->SetBinContent(23,0.0); + S98_PT_0->SetBinContent(24,0.0); + S98_PT_0->SetBinContent(25,0.0); + S98_PT_0->SetBinContent(26,0.0); + S98_PT_0->SetBinContent(27,0.0); + S98_PT_0->SetBinContent(28,0.0); + S98_PT_0->SetBinContent(29,0.0); + S98_PT_0->SetBinContent(30,0.0); + S98_PT_0->SetBinContent(31,0.0); + S98_PT_0->SetBinContent(32,0.0); + S98_PT_0->SetBinContent(33,0.0); + S98_PT_0->SetBinContent(34,0.0); + S98_PT_0->SetBinContent(35,0.0); + S98_PT_0->SetBinContent(36,0.0); + S98_PT_0->SetBinContent(37,0.0); + S98_PT_0->SetBinContent(38,0.0); + S98_PT_0->SetBinContent(39,0.0); + S98_PT_0->SetBinContent(40,0.0); + S98_PT_0->SetBinContent(41,0.0); + S98_PT_0->SetBinContent(42,0.0); + S98_PT_0->SetBinContent(43,0.0); + S98_PT_0->SetBinContent(44,0.0); + S98_PT_0->SetBinContent(45,0.0); + S98_PT_0->SetBinContent(46,0.0); + S98_PT_0->SetBinContent(47,0.0); + S98_PT_0->SetBinContent(48,0.0); + S98_PT_0->SetBinContent(49,0.0); + S98_PT_0->SetBinContent(50,0.0); + S98_PT_0->SetBinContent(51,0.0); // overflow + S98_PT_0->SetEntries(0); + // Style + S98_PT_0->SetLineColor(9); + S98_PT_0->SetLineStyle(1); + S98_PT_0->SetLineWidth(1); + S98_PT_0->SetFillColor(9); + S98_PT_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_196","mystack"); + stack->Add(S98_PT_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("p_{T} [ b_{2} ] (GeV/c) "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_97.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_97.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_97.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_97.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_97.py new file mode 100644 index 00000000..1da51b88 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_97.py @@ -0,0 +1,62 @@ +def selection_97(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) + + # Creating weights for histo: y98_PT_0 + y98_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y98_PT_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$p_{T}$ $[ b_{2} ]$ $(GeV/c)$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y98_PT_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y98_PT_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_97.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_97.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_97.eps') + +# Running! +if __name__ == '__main__': + selection_97() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_98.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_98.C new file mode 100644 index 00000000..98734549 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_98.C @@ -0,0 +1,117 @@ +void selection_98() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo197","canvas_plotflow_tempo197",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S99_ETA_0 = new TH1F("S99_ETA_0","S99_ETA_0",50,-8.0,8.0); + // Content + S99_ETA_0->SetBinContent(0,0.0); // underflow + S99_ETA_0->SetBinContent(1,0.0); + S99_ETA_0->SetBinContent(2,0.0); + S99_ETA_0->SetBinContent(3,0.0); + S99_ETA_0->SetBinContent(4,0.0); + S99_ETA_0->SetBinContent(5,0.0); + S99_ETA_0->SetBinContent(6,0.0); + S99_ETA_0->SetBinContent(7,0.0); + S99_ETA_0->SetBinContent(8,0.0); + S99_ETA_0->SetBinContent(9,0.0); + S99_ETA_0->SetBinContent(10,0.0); + S99_ETA_0->SetBinContent(11,0.0); + S99_ETA_0->SetBinContent(12,0.0); + S99_ETA_0->SetBinContent(13,0.0); + S99_ETA_0->SetBinContent(14,0.0); + S99_ETA_0->SetBinContent(15,0.0); + S99_ETA_0->SetBinContent(16,0.0); + S99_ETA_0->SetBinContent(17,0.0); + S99_ETA_0->SetBinContent(18,0.0); + S99_ETA_0->SetBinContent(19,0.0); + S99_ETA_0->SetBinContent(20,0.0); + S99_ETA_0->SetBinContent(21,0.0); + S99_ETA_0->SetBinContent(22,0.0); + S99_ETA_0->SetBinContent(23,0.0); + S99_ETA_0->SetBinContent(24,0.0); + S99_ETA_0->SetBinContent(25,0.0); + S99_ETA_0->SetBinContent(26,0.0); + S99_ETA_0->SetBinContent(27,0.0); + S99_ETA_0->SetBinContent(28,0.0); + S99_ETA_0->SetBinContent(29,0.0); + S99_ETA_0->SetBinContent(30,0.0); + S99_ETA_0->SetBinContent(31,0.0); + S99_ETA_0->SetBinContent(32,0.0); + S99_ETA_0->SetBinContent(33,0.0); + S99_ETA_0->SetBinContent(34,0.0); + S99_ETA_0->SetBinContent(35,0.0); + S99_ETA_0->SetBinContent(36,0.0); + S99_ETA_0->SetBinContent(37,0.0); + S99_ETA_0->SetBinContent(38,0.0); + S99_ETA_0->SetBinContent(39,0.0); + S99_ETA_0->SetBinContent(40,0.0); + S99_ETA_0->SetBinContent(41,0.0); + S99_ETA_0->SetBinContent(42,0.0); + S99_ETA_0->SetBinContent(43,0.0); + S99_ETA_0->SetBinContent(44,0.0); + S99_ETA_0->SetBinContent(45,0.0); + S99_ETA_0->SetBinContent(46,0.0); + S99_ETA_0->SetBinContent(47,0.0); + S99_ETA_0->SetBinContent(48,0.0); + S99_ETA_0->SetBinContent(49,0.0); + S99_ETA_0->SetBinContent(50,0.0); + S99_ETA_0->SetBinContent(51,0.0); // overflow + S99_ETA_0->SetEntries(0); + // Style + S99_ETA_0->SetLineColor(9); + S99_ETA_0->SetLineStyle(1); + S99_ETA_0->SetLineWidth(1); + S99_ETA_0->SetFillColor(9); + S99_ETA_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_198","mystack"); + stack->Add(S99_ETA_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#eta [ b_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_98.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_98.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_98.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_98.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_98.py new file mode 100644 index 00000000..434faed7 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_98.py @@ -0,0 +1,62 @@ +def selection_98(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) + + # Creating weights for histo: y99_ETA_0 + y99_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y99_ETA_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\eta$ $[ b_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y99_ETA_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y99_ETA_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_98.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_98.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_98.eps') + +# Running! +if __name__ == '__main__': + selection_98() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_99.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_99.C new file mode 100644 index 00000000..72faa985 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_99.C @@ -0,0 +1,99 @@ +void selection_99() +{ + + // ROOT version + Int_t root_version = gROOT->GetVersionInt(); + + // Creating a new TCanvas + TCanvas* canvas = new TCanvas("canvas_plotflow_tempo199","canvas_plotflow_tempo199",0,0,700,500); + gStyle->SetOptStat(0); + gStyle->SetOptTitle(0); + canvas->SetHighLightColor(2); + canvas->SetFillColor(0); + canvas->SetBorderMode(0); + canvas->SetBorderSize(3); + canvas->SetFrameBorderMode(0); + canvas->SetFrameBorderSize(0); + canvas->SetTickx(1); + canvas->SetTicky(1); + canvas->SetLeftMargin(0.14); + canvas->SetRightMargin(0.05); + canvas->SetBottomMargin(0.15); + canvas->SetTopMargin(0.05); + + // Creating a new TH1F + TH1F* S100_PHI_0 = new TH1F("S100_PHI_0","S100_PHI_0",32,-3.2,3.2); + // Content + S100_PHI_0->SetBinContent(0,0.0); // underflow + S100_PHI_0->SetBinContent(1,0.0); + S100_PHI_0->SetBinContent(2,0.0); + S100_PHI_0->SetBinContent(3,0.0); + S100_PHI_0->SetBinContent(4,0.0); + S100_PHI_0->SetBinContent(5,0.0); + S100_PHI_0->SetBinContent(6,0.0); + S100_PHI_0->SetBinContent(7,0.0); + S100_PHI_0->SetBinContent(8,0.0); + S100_PHI_0->SetBinContent(9,0.0); + S100_PHI_0->SetBinContent(10,0.0); + S100_PHI_0->SetBinContent(11,0.0); + S100_PHI_0->SetBinContent(12,0.0); + S100_PHI_0->SetBinContent(13,0.0); + S100_PHI_0->SetBinContent(14,0.0); + S100_PHI_0->SetBinContent(15,0.0); + S100_PHI_0->SetBinContent(16,0.0); + S100_PHI_0->SetBinContent(17,0.0); + S100_PHI_0->SetBinContent(18,0.0); + S100_PHI_0->SetBinContent(19,0.0); + S100_PHI_0->SetBinContent(20,0.0); + S100_PHI_0->SetBinContent(21,0.0); + S100_PHI_0->SetBinContent(22,0.0); + S100_PHI_0->SetBinContent(23,0.0); + S100_PHI_0->SetBinContent(24,0.0); + S100_PHI_0->SetBinContent(25,0.0); + S100_PHI_0->SetBinContent(26,0.0); + S100_PHI_0->SetBinContent(27,0.0); + S100_PHI_0->SetBinContent(28,0.0); + S100_PHI_0->SetBinContent(29,0.0); + S100_PHI_0->SetBinContent(30,0.0); + S100_PHI_0->SetBinContent(31,0.0); + S100_PHI_0->SetBinContent(32,0.0); + S100_PHI_0->SetBinContent(33,0.0); // overflow + S100_PHI_0->SetEntries(0); + // Style + S100_PHI_0->SetLineColor(9); + S100_PHI_0->SetLineStyle(1); + S100_PHI_0->SetLineWidth(1); + S100_PHI_0->SetFillColor(9); + S100_PHI_0->SetFillStyle(1001); + + // Creating a new THStack + THStack* stack = new THStack("mystack_200","mystack"); + stack->Add(S100_PHI_0); + stack->Draw(""); + + // Y axis + stack->GetYaxis()->SetLabelSize(0.04); + stack->GetYaxis()->SetLabelOffset(0.005); + stack->GetYaxis()->SetTitleSize(0.06); + stack->GetYaxis()->SetTitleFont(22); + stack->GetYaxis()->SetTitleOffset(1); + stack->GetYaxis()->SetTitle("Events (not normalized)"); + + // X axis + stack->GetXaxis()->SetLabelSize(0.04); + stack->GetXaxis()->SetLabelOffset(0.005); + stack->GetXaxis()->SetTitleSize(0.06); + stack->GetXaxis()->SetTitleFont(22); + stack->GetXaxis()->SetTitleOffset(1); + stack->GetXaxis()->SetTitle("#phi [ b_{2} ] "); + + // Finalizing the TCanvas + canvas->SetLogx(0); + canvas->SetLogy(0); + + // Saving the image + canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_99.png"); + canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_99.png"); + canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_99.eps"); + +} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_99.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_99.py new file mode 100644 index 00000000..1640de43 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_99.py @@ -0,0 +1,62 @@ +def selection_99(): + + # Library import + import numpy + import matplotlib + import matplotlib.pyplot as plt + import matplotlib.gridspec as gridspec + + # Library version + matplotlib_version = matplotlib.__version__ + numpy_version = numpy.__version__ + + # Histo binning + xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) + + # Creating data sequence: middle of each bin + xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) + + # Creating weights for histo: y100_PHI_0 + y100_PHI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) + + # Creating a new Canvas + fig = plt.figure(figsize=(8.75,6.25),dpi=80) + frame = gridspec.GridSpec(1,1) + pad = fig.add_subplot(frame[0]) + + # Creating a new Stack + pad.hist(x=xData, bins=xBinning, weights=y100_PHI_0_weights,\ + label="$testset$", rwidth=1.0,\ + color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ + bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") + + + # Axis + plt.rc('text',usetex=False) + plt.xlabel(r"$\phi$ $[ b_{2} ]$ ",\ + fontsize=16,color="black") + plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ + fontsize=16,color="black") + + # Boundary of y-axis + ymax=(y100_PHI_0_weights).max()*1.1 + ymin=0 # linear scale + #ymin=min([x for x in (y100_PHI_0_weights) if x])/100. # log scale + plt.gca().set_ylim(ymin,ymax) + + # Log/Linear scale for X-axis + plt.gca().set_xscale("linear") + #plt.gca().set_xscale("log",nonpositive="clip") + + # Log/Linear scale for Y-axis + plt.gca().set_yscale("linear") + #plt.gca().set_yscale("log",nonpositive="clip") + + # Saving the image + plt.savefig('../../HTML/MadAnalysis5job_0/selection_99.png') + plt.savefig('../../PDF/MadAnalysis5job_0/selection_99.png') + plt.savefig('../../DVI/MadAnalysis5job_0/selection_99.eps') + +# Running! +if __name__ == '__main__': + selection_99() diff --git 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write the footnote mark +% it has an optional argument that will be used as footnote mark when given +% WARNING: when the optional argument is used, the footnotecounter is not increased +% WARNING: the character ``!'' cannot be used. +% If you really need it use somthing like [\relax !] as the optional arg. +\newcommand\note[2][]{% +\if!#1!% +\stepcounter{footnote}\footnotetext{#2}% +\else% +{\renewcommand\thefootnote{#1}% +\footnotetext{#2}}% +\fi} + + + +%Use this if you want to try to keep some piece of the abstract on a +%very long first page +\newcommand\compress{% +\renewcommand\afterProceedingsSpace{\bigskip}% +\renewcommand\afterTitleSpace{\bigskip}% +\renewcommand\afterRuleSpace{\bigskip\bigskip} +\renewcommand\afterEmailSpace{\par\bigskip}} + +%authors and affiliations +\newtoks\auth@toks +\renewcommand{\author}[2][]{% + \if!#1!% + \auth@toks=\expandafter{\the\auth@toks#2\ }% + \else + \auth@toks=\expandafter{\the\auth@toks#2$^{#1}$\ }% + \fi +} + +\newtoks\affil@toks\newif\ifaffil\affilfalse +\newcommand{\affiliation}[2][]{% +\affiltrue + \if!#1!% + \affil@toks=\expandafter{\the\affil@toks{\item[]#2}}% + \else + \affil@toks=\expandafter{\the\affil@toks{\item[$^{#1}$]#2}}% + \fi +} + +%emails +%automatically put a comma between emails +\newtoks\email@toks\newcounter{email@counter}% +\setcounter{email@counter}{0}% +\newcommand{\emailAdd}[1]{% +\emailaddtrue% +\ifnum\theemail@counter>0\email@toks=\expandafter{\the\email@toks, \@email{#1}}% +\else\email@toks=\expandafter{\the\email@toks\@email{#1}}% +\fi\stepcounter{email@counter}} +\newcommand{\@email}[1]{\href{mailto:#1}{\tt #1}} + + +% Collaboration macros +\newcommand*\collaboration[1]{\gdef\@collaboration{#1}} +\newcommand*\collaborationImg[2][]{\gdef\@collaborationImg{#2}} + +%all pieces get a ``after'' spacing +\newcommand\afterLogoSpace{\smallskip} +\newcommand\afterSubheaderSpace{\vskip3pt plus 2pt minus 1pt} +\newcommand\afterProceedingsSpace{\vskip21pt plus0.4fil 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+ \fi \fi +l.1788 \newpage + <./selection_57.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1794--1801 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1791--1802 + +[66pdfTeX warning (ext4): destination with the same identifier (name{figure.59} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1810 \newpage + <./selection_58.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1816--1823 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1813--1824 + +[67pdfTeX warning (ext4): destination with the same identifier (name{figure.60} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1832 \newpage + <./selection_59.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1838--1845 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1835--1846 + +[68pdfTeX warning (ext4): destination with the same identifier (name{figure.61} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1854 \newpage + <./selection_60.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1860--1867 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1857--1868 + +[69pdfTeX warning (ext4): destination with the same identifier (name{figure.62} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1876 \newpage + <./selection_61.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1882--1889 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1879--1890 + +[70pdfTeX warning (ext4): destination with the same identifier (name{figure.63} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1898 \newpage + <./selection_62.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1904--1911 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1901--1912 + +[71pdfTeX warning (ext4): destination with the same identifier (name{figure.64} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1920 \newpage + <./selection_63.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1926--1933 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1923--1934 + +[72pdfTeX warning (ext4): destination with the same identifier (name{figure.65} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1942 \newpage + <./selection_64.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1948--1955 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1945--1956 + +[73pdfTeX warning (ext4): destination with the same identifier (name{figure.66} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox 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identifier (name{figure.69} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2030 \newpage + <./selection_68.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2036--2043 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2033--2044 + +[77pdfTeX warning (ext4): destination with the same identifier (name{figure.70} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2052 \newpage + <./selection_69.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2058--2065 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2055--2066 + +[78pdfTeX warning (ext4): destination with the same identifier (name{figure.71} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2074 \newpage + <./selection_70.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2080--2087 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2077--2088 + +[79pdfTeX warning (ext4): destination with the same identifier (name{figure.72} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2096 \newpage + <./selection_71.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2102--2109 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2099--2110 + +[80pdfTeX warning (ext4): destination with the same identifier (name{figure.73} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2118 \newpage + <./selection_72.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2124--2131 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2121--2132 + +[81pdfTeX warning (ext4): destination with the same identifier (name{figure.74} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox 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identifier (name{figure.77} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2206 \newpage + <./selection_76.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2212--2219 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2209--2220 + +[85pdfTeX warning (ext4): destination with the same identifier (name{figure.78} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2228 \newpage + <./selection_77.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2234--2241 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2231--2242 + +[86pdfTeX warning (ext4): destination with the same identifier (name{figure.79} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2250 \newpage + <./selection_78.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2256--2263 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2253--2264 + +[87pdfTeX warning (ext4): destination with the same identifier (name{figure.80} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2272 \newpage + <./selection_79.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2278--2285 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2275--2286 + +[88pdfTeX warning (ext4): destination with the same identifier (name{figure.81} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2294 \newpage + <./selection_80.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2300--2307 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2297--2308 + +[89pdfTeX warning (ext4): destination with the same identifier (name{figure.82} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox 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identifier (name{figure.85} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2382 \newpage + <./selection_84.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2388--2395 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2385--2396 + +[93pdfTeX warning (ext4): destination with the same identifier (name{figure.86} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2404 \newpage + <./selection_85.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2410--2417 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2407--2418 + +[94pdfTeX warning (ext4): destination with the same identifier (name{figure.87} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2426 \newpage + <./selection_86.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2432--2439 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2429--2440 + +[95pdfTeX warning (ext4): destination with the same identifier (name{figure.88} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2448 \newpage + <./selection_87.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2454--2461 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2451--2462 + +[96pdfTeX warning (ext4): destination with the same identifier (name{figure.89} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2470 \newpage + <./selection_88.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2476--2483 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2473--2484 + +[97pdfTeX warning (ext4): destination with the same identifier (name{figure.90} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2492 \newpage + <./selection_89.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2498--2505 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2495--2506 + +[98pdfTeX warning (ext4): destination with the same identifier (name{figure.91} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2514 \newpage + <./selection_90.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2520--2527 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2517--2528 + +[99pdfTeX warning (ext4): destination with the same identifier (name{figure.92} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2536 \newpage + <./selection_91.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2542--2549 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2539--2550 + +[100pdfTeX warning (ext4): destination with the same identifier (name{figure.93 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2558 \newpage + <./selection_92.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2564--2571 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2561--2572 + +[101pdfTeX warning (ext4): destination with the same identifier (name{figure.94 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2580 \newpage + <./selection_93.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2586--2593 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2583--2594 + +[102pdfTeX warning (ext4): destination with the same identifier (name{figure.95 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2602 \newpage + <./selection_94.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2608--2615 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2605--2616 + +[103pdfTeX warning (ext4): destination with the same identifier (name{figure.96 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2624 \newpage + <./selection_95.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2630--2637 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2627--2638 + +[104pdfTeX warning (ext4): destination with the same identifier (name{figure.97 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2646 \newpage + <./selection_96.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2652--2659 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2649--2660 + +[105pdfTeX warning (ext4): destination with the same identifier (name{figure.98 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2668 \newpage + <./selection_97.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2674--2681 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2671--2682 + +[106pdfTeX warning (ext4): destination with the same identifier (name{figure.99 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2690 \newpage + <./selection_98.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2696--2703 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2693--2704 + +[107pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +0}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2712 \newpage + <./selection_99.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2718--2725 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2715--2726 + +[108pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +1}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2734 \newpage + <./selection_100.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2740--2747 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2737--2748 + +[109pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +2}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2756 \newpage + <./selection_101.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2762--2769 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2759--2770 + +[110pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +3}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2778 \newpage + <./selection_102.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2784--2791 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2781--2792 + +[111pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +4}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2800 \newpage + <./selection_103.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2806--2813 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2803--2814 + +[112pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +5}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2822 \newpage + <./selection_104.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2828--2835 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2825--2836 + +[113pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +6}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2844 \newpage + <./selection_105.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2850--2857 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2847--2858 + +[114pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +7}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2866 \newpage + <./selection_106.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2872--2879 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2869--2880 + +[115pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +8}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2888 \newpage + <./selection_107.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2894--2901 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2891--2902 + +[116pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +9}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2910 \newpage + <./selection_108.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2916--2923 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2913--2924 + +[117pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +0}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2932 \newpage + <./selection_109.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2938--2945 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2935--2946 + +[118pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +1}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2954 \newpage + <./selection_110.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2960--2967 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2957--2968 + +[119pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +2}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2976 \newpage + <./selection_111.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2982--2989 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2979--2990 + +[120pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +3}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2998 \newpage + <./selection_112.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3004--3011 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3001--3012 + +[121pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +4}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3020 \newpage + <./selection_113.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3026--3033 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3023--3034 + +[122pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +5}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3042 \newpage + <./selection_114.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3048--3055 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3045--3056 + +[123pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +6}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3064 \newpage + <./selection_115.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3070--3077 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3067--3078 + +[124pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +7}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3086 \newpage + <./selection_116.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3092--3099 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3089--3100 + +[125pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +8}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3108 \newpage + <./selection_117.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3114--3121 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3111--3122 + +[126pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +9}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3130 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(name{figure.12 +2}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3196 \newpage + <./selection_121.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3202--3209 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3199--3210 + +[130pdfTeX warning (ext4): destination with the same identifier (name{figure.12 +3}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3218 \newpage + <./selection_122.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3224--3231 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3221--3232 + +[131pdfTeX warning (ext4): destination with the same identifier (name{figure.12 +4}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3240 \newpage + <./selection_123.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3246--3253 + [] + 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destination with the same identifier (name{figure.13 +0}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3372 \newpage + <./selection_129.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3378--3385 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3375--3386 + +[138pdfTeX warning (ext4): destination with the same identifier (name{figure.13 +1}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3394 \newpage + <./selection_130.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3400--3407 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3397--3408 + +[139pdfTeX warning (ext4): destination with the same identifier (name{figure.13 +2}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3416 \newpage + <./selection_131.png>] +Overfull \hbox (55.33208pt too wide) in 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already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3658 \newpage + <./selection_142.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3664--3671 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3661--3672 + +[151pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +4}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3680 \newpage + <./selection_143.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3686--3693 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3683--3694 + +[152pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +5}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3702 \newpage + <./selection_144.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3708--3715 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3705--3716 + +[153pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +6}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3724 \newpage + <./selection_145.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3730--3737 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3727--3738 + +[154pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +7}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3746 \newpage + <./selection_146.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3752--3759 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3749--3760 + +[155pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +8}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3768 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(name{figure.15 +1}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3834 \newpage + <./selection_150.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3840--3847 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3837--3848 + +[159pdfTeX warning (ext4): destination with the same identifier (name{figure.15 +2}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3856 \newpage + <./selection_151.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3862--3869 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3859--3870 + +[160pdfTeX warning (ext4): destination with the same identifier (name{figure.15 +3}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3878 \newpage + <./selection_152.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3884--3891 + [] + 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destination with the same identifier (name{figure.15 +9}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.4010 \newpage + <./selection_158.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 4016--4023 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 4013--4024 + +[167pdfTeX warning (ext4): destination with the same identifier (name{figure.16 +0}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.4032 \newpage + <./selection_159.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 4038--4045 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 4035--4046 + +[168pdfTeX warning (ext4): destination with the same identifier (name{figure.16 +1}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.4054 \newpage + <./selection_160.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 4060--4067 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 4057--4068 + +[169pdfTeX warning (ext4): destination with the same identifier (name{figure.16 +2}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.4076 \newpage + <./selection_161.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 4082--4089 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 4079--4090 + +[170pdfTeX warning (ext4): destination with the same identifier (name{figure.16 +3}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.4098 \newpage + <./selection_162.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 4104--4111 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 4101--4112 + +[171pdfTeX warning (ext4): destination with the same identifier (name{figure.16 +4}) has been already used, duplicate ignored + 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already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.4296 \newpage + <./selection_171.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 4302--4309 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 4299--4310 + +[180pdfTeX warning (ext4): destination with the same identifier (name{figure.17 +3}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.4318 \newpage + <./selection_172.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 4324--4331 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 4321--4332 + +[181pdfTeX warning (ext4): destination with the same identifier (name{figure.17 +4}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.4340 \newpage + <./selection_173.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 4346--4353 + [] + +Underfull \hbox (badness 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+ \fi \fi +l.1436 \newpage + <./selection_41.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1442--1449 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1439--1450 + +[50pdfTeX warning (ext4): destination with the same identifier (name{figure.43} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1458 \newpage + <./selection_42.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1464--1471 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1461--1472 + +[51pdfTeX warning (ext4): destination with the same identifier (name{figure.44} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1480 \newpage + <./selection_43.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1486--1493 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1483--1494 + +[52pdfTeX warning (ext4): destination with the same identifier (name{figure.45} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1502 \newpage + <./selection_44.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1508--1515 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1505--1516 + +[53pdfTeX warning (ext4): destination with the same identifier (name{figure.46} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1524 \newpage + <./selection_45.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1530--1537 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1527--1538 + +[54pdfTeX warning (ext4): destination with the same identifier (name{figure.47} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1546 \newpage + <./selection_46.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1552--1559 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1549--1560 + +[55pdfTeX warning (ext4): destination with the same identifier (name{figure.48} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1568 \newpage + <./selection_47.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1574--1581 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1571--1582 + +[56pdfTeX warning (ext4): destination with the same identifier (name{figure.49} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1590 \newpage + <./selection_48.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1596--1603 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1593--1604 + +[57pdfTeX warning (ext4): destination with the same identifier (name{figure.50} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1612 \newpage + <./selection_49.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1618--1625 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1615--1626 + +[58pdfTeX warning (ext4): destination with the same identifier (name{figure.51} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1634 \newpage + <./selection_50.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1640--1647 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1637--1648 + +[59pdfTeX warning (ext4): destination with the same identifier (name{figure.52} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1656 \newpage + <./selection_51.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1662--1669 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1659--1670 + +[60pdfTeX warning (ext4): destination with the same identifier (name{figure.53} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1678 \newpage + <./selection_52.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1684--1691 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1681--1692 + +[61pdfTeX warning (ext4): destination with the same identifier (name{figure.54} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1700 \newpage + <./selection_53.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1706--1713 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1703--1714 + +[62pdfTeX warning (ext4): destination with the same identifier (name{figure.55} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1722 \newpage + <./selection_54.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1728--1735 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1725--1736 + +[63pdfTeX warning (ext4): destination with the same identifier (name{figure.56} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1744 \newpage + <./selection_55.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1750--1757 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1747--1758 + +[64pdfTeX warning (ext4): destination with the same identifier (name{figure.57} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1766 \newpage + <./selection_56.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1772--1779 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1769--1780 + +[65pdfTeX warning (ext4): destination with the same identifier (name{figure.58} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox 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identifier (name{figure.61} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1854 \newpage + <./selection_60.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1860--1867 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1857--1868 + +[69pdfTeX warning (ext4): destination with the same identifier (name{figure.62} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1876 \newpage + <./selection_61.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1882--1889 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1879--1890 + +[70pdfTeX warning (ext4): destination with the same identifier (name{figure.63} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1898 \newpage + <./selection_62.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1904--1911 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1901--1912 + +[71pdfTeX warning (ext4): destination with the same identifier (name{figure.64} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1920 \newpage + <./selection_63.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1926--1933 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1923--1934 + +[72pdfTeX warning (ext4): destination with the same identifier (name{figure.65} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.1942 \newpage + <./selection_64.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 1948--1955 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 1945--1956 + +[73pdfTeX warning (ext4): destination with the same identifier (name{figure.66} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox 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identifier (name{figure.69} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2030 \newpage + <./selection_68.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2036--2043 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2033--2044 + +[77pdfTeX warning (ext4): destination with the same identifier (name{figure.70} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2052 \newpage + <./selection_69.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2058--2065 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2055--2066 + +[78pdfTeX warning (ext4): destination with the same identifier (name{figure.71} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2074 \newpage + <./selection_70.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2080--2087 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2077--2088 + +[79pdfTeX warning (ext4): destination with the same identifier (name{figure.72} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2096 \newpage + <./selection_71.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2102--2109 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2099--2110 + +[80pdfTeX warning (ext4): destination with the same identifier (name{figure.73} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2118 \newpage + <./selection_72.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2124--2131 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2121--2132 + +[81pdfTeX warning (ext4): destination with the same identifier (name{figure.74} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox 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identifier (name{figure.77} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2206 \newpage + <./selection_76.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2212--2219 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2209--2220 + +[85pdfTeX warning (ext4): destination with the same identifier (name{figure.78} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2228 \newpage + <./selection_77.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2234--2241 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2231--2242 + +[86pdfTeX warning (ext4): destination with the same identifier (name{figure.79} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2250 \newpage + <./selection_78.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2256--2263 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2253--2264 + +[87pdfTeX warning (ext4): destination with the same identifier (name{figure.80} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2272 \newpage + <./selection_79.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2278--2285 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2275--2286 + +[88pdfTeX warning (ext4): destination with the same identifier (name{figure.81} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2294 \newpage + <./selection_80.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2300--2307 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2297--2308 + +[89pdfTeX warning (ext4): destination with the same identifier (name{figure.82} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox 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identifier (name{figure.85} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2382 \newpage + <./selection_84.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2388--2395 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2385--2396 + +[93pdfTeX warning (ext4): destination with the same identifier (name{figure.86} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2404 \newpage + <./selection_85.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2410--2417 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2407--2418 + +[94pdfTeX warning (ext4): destination with the same identifier (name{figure.87} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2426 \newpage + <./selection_86.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2432--2439 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2429--2440 + +[95pdfTeX warning (ext4): destination with the same identifier (name{figure.88} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2448 \newpage + <./selection_87.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2454--2461 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2451--2462 + +[96pdfTeX warning (ext4): destination with the same identifier (name{figure.89} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2470 \newpage + <./selection_88.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2476--2483 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2473--2484 + +[97pdfTeX warning (ext4): destination with the same identifier (name{figure.90} +) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox 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identifier (name{figure.93 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2558 \newpage + <./selection_92.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2564--2571 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2561--2572 + +[101pdfTeX warning (ext4): destination with the same identifier (name{figure.94 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2580 \newpage + <./selection_93.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2586--2593 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2583--2594 + +[102pdfTeX warning (ext4): destination with the same identifier (name{figure.95 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2602 \newpage + <./selection_94.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2608--2615 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2605--2616 + +[103pdfTeX warning (ext4): destination with the same identifier (name{figure.96 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2624 \newpage + <./selection_95.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2630--2637 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2627--2638 + +[104pdfTeX warning (ext4): destination with the same identifier (name{figure.97 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2646 \newpage + <./selection_96.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2652--2659 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2649--2660 + +[105pdfTeX warning (ext4): destination with the same identifier (name{figure.98 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2668 \newpage + <./selection_97.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2674--2681 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2671--2682 + +[106pdfTeX warning (ext4): destination with the same identifier (name{figure.99 +}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2690 \newpage + <./selection_98.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2696--2703 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2693--2704 + +[107pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +0}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2712 \newpage + <./selection_99.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2718--2725 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2715--2726 + +[108pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +1}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2734 \newpage + <./selection_100.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2740--2747 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2737--2748 + +[109pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +2}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2756 \newpage + <./selection_101.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2762--2769 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2759--2770 + +[110pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +3}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2778 \newpage + <./selection_102.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2784--2791 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2781--2792 + +[111pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +4}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2800 \newpage + <./selection_103.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2806--2813 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2803--2814 + +[112pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +5}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2822 \newpage + <./selection_104.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2828--2835 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2825--2836 + +[113pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +6}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2844 \newpage + <./selection_105.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2850--2857 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2847--2858 + +[114pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +7}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2866 \newpage + <./selection_106.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2872--2879 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2869--2880 + +[115pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +8}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2888 \newpage + <./selection_107.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2894--2901 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2891--2902 + +[116pdfTeX warning (ext4): destination with the same identifier (name{figure.10 +9}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2910 \newpage + <./selection_108.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2916--2923 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2913--2924 + +[117pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +0}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2932 \newpage + <./selection_109.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2938--2945 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2935--2946 + +[118pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +1}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2954 \newpage + <./selection_110.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2960--2967 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2957--2968 + +[119pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +2}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2976 \newpage + <./selection_111.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 2982--2989 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 2979--2990 + +[120pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +3}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.2998 \newpage + <./selection_112.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3004--3011 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3001--3012 + +[121pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +4}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3020 \newpage + <./selection_113.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3026--3033 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3023--3034 + +[122pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +5}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3042 \newpage + <./selection_114.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3048--3055 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3045--3056 + +[123pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +6}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3064 \newpage + <./selection_115.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3070--3077 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3067--3078 + +[124pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +7}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3086 \newpage + <./selection_116.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3092--3099 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3089--3100 + +[125pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +8}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3108 \newpage + <./selection_117.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3114--3121 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3111--3122 + +[126pdfTeX warning (ext4): destination with the same identifier (name{figure.11 +9}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3130 \newpage + <./selection_118.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3136--3143 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3133--3144 + +[127pdfTeX warning (ext4): destination with the same identifier (name{figure.12 +0}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3152 \newpage + <./selection_119.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3158--3165 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3155--3166 + +[128pdfTeX warning (ext4): destination with the same identifier (name{figure.12 +1}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3174 \newpage + <./selection_120.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3180--3187 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3177--3188 + +[129pdfTeX warning (ext4): destination with the same identifier (name{figure.12 +2}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3196 \newpage + <./selection_121.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3202--3209 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3199--3210 + +[130pdfTeX warning (ext4): destination with the same identifier (name{figure.12 +3}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3218 \newpage + <./selection_122.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3224--3231 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3221--3232 + +[131pdfTeX warning (ext4): destination with the same identifier (name{figure.12 +4}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3240 \newpage + <./selection_123.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3246--3253 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3243--3254 + +[132pdfTeX warning (ext4): destination with the same identifier (name{figure.12 +5}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3262 \newpage + <./selection_124.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3268--3275 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3265--3276 + +[133pdfTeX warning (ext4): destination with the same identifier (name{figure.12 +6}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3284 \newpage + <./selection_125.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3290--3297 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3287--3298 + +[134pdfTeX warning (ext4): destination with the same identifier (name{figure.12 +7}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3306 \newpage + <./selection_126.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3312--3319 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3309--3320 + +[135pdfTeX warning (ext4): destination with the same identifier (name{figure.12 +8}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3328 \newpage + <./selection_127.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3334--3341 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3331--3342 + +[136pdfTeX warning (ext4): destination with the same identifier (name{figure.12 +9}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3350 \newpage + <./selection_128.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3356--3363 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3353--3364 + +[137pdfTeX warning (ext4): destination with the same identifier (name{figure.13 +0}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3372 \newpage + <./selection_129.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3378--3385 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3375--3386 + +[138pdfTeX warning (ext4): destination with the same identifier (name{figure.13 +1}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3394 \newpage + <./selection_130.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3400--3407 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3397--3408 + +[139pdfTeX warning (ext4): destination with the same identifier (name{figure.13 +2}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3416 \newpage + <./selection_131.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3422--3429 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3419--3430 + +[140pdfTeX warning (ext4): destination with the same identifier (name{figure.13 +3}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3438 \newpage + <./selection_132.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3444--3451 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3441--3452 + +[141pdfTeX warning (ext4): destination with the same identifier (name{figure.13 +4}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3460 \newpage + <./selection_133.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3466--3473 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3463--3474 + +[142pdfTeX warning (ext4): destination with the same identifier (name{figure.13 +5}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3482 \newpage + <./selection_134.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3488--3495 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3485--3496 + +[143pdfTeX warning (ext4): destination with the same identifier (name{figure.13 +6}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3504 \newpage + <./selection_135.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3510--3517 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3507--3518 + +[144pdfTeX warning (ext4): destination with the same identifier (name{figure.13 +7}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3526 \newpage + <./selection_136.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3532--3539 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3529--3540 + +[145pdfTeX warning (ext4): destination with the same identifier (name{figure.13 +8}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3548 \newpage + <./selection_137.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3554--3561 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3551--3562 + +[146pdfTeX warning (ext4): destination with the same identifier (name{figure.13 +9}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3570 \newpage + <./selection_138.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3576--3583 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3573--3584 + +[147pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +0}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3592 \newpage + <./selection_139.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3598--3605 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3595--3606 + +[148pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +1}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3614 \newpage + <./selection_140.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3620--3627 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3617--3628 + +[149pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +2}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3636 \newpage + <./selection_141.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3642--3649 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3639--3650 + +[150pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +3}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3658 \newpage + <./selection_142.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3664--3671 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3661--3672 + +[151pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +4}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3680 \newpage + <./selection_143.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3686--3693 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3683--3694 + +[152pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +5}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3702 \newpage + <./selection_144.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3708--3715 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3705--3716 + +[153pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +6}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3724 \newpage + <./selection_145.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3730--3737 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3727--3738 + +[154pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +7}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3746 \newpage + <./selection_146.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3752--3759 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3749--3760 + +[155pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +8}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3768 \newpage + <./selection_147.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3774--3781 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3771--3782 + +[156pdfTeX warning (ext4): destination with the same identifier (name{figure.14 +9}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3790 \newpage + <./selection_148.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3796--3803 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3793--3804 + +[157pdfTeX warning (ext4): destination with the same identifier (name{figure.15 +0}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3812 \newpage + <./selection_149.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3818--3825 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3815--3826 + +[158pdfTeX warning (ext4): destination with the same identifier (name{figure.15 +1}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3834 \newpage + <./selection_150.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3840--3847 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3837--3848 + +[159pdfTeX warning (ext4): destination with the same identifier (name{figure.15 +2}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3856 \newpage + <./selection_151.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3862--3869 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3859--3870 + +[160pdfTeX warning (ext4): destination with the same identifier (name{figure.15 +3}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3878 \newpage + <./selection_152.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3884--3891 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3881--3892 + +[161pdfTeX warning (ext4): destination with the same identifier (name{figure.15 +4}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3900 \newpage + <./selection_153.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3906--3913 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3903--3914 + +[162pdfTeX warning (ext4): destination with the same identifier (name{figure.15 +5}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3922 \newpage + <./selection_154.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3928--3935 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3925--3936 + +[163pdfTeX warning (ext4): destination with the same identifier (name{figure.15 +6}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3944 \newpage + <./selection_155.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3950--3957 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3947--3958 + +[164pdfTeX warning (ext4): destination with the same identifier (name{figure.15 +7}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3966 \newpage + <./selection_156.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3972--3979 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3969--3980 + +[165pdfTeX warning (ext4): destination with the same identifier (name{figure.15 +8}) has been already used, duplicate ignored + +\AtBegShi@Output ...ipout \box \AtBeginShipoutBox + \fi \fi +l.3988 \newpage + <./selection_157.png>] +Overfull \hbox (55.33208pt too wide) in paragraph at lines 3994--4001 + [] + +Underfull \hbox (badness 10000) in paragraph at lines 3991--4002 + +[166pdfTeX warning (ext4): 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zSYDdOe4Z0v&6}CM<1gPrGp<={A6~0VzJjs3;+lhbP)Ph6>6bbr!we~#@+z*L-da{KlZw_AClKHa(%Z*Y0O#HJ_5|3#kg zs7tyrseBuExw7&!ohyA`fT{F}c{%rY#l_QVeoa55d}4-beQfor<`aqDs;^p)PblNGG;>Qx{NfKPMyV@%`8oPQxg>36a{jb(U<$qBGW&ywQ8sW>DsbP~221a~kEVd? z^OfE68Mx&>G%fv?IyKu&8cwGIu30saWTipVrw;g-C_3`3@*0k(9R=`rRH7wia zb1~42Es>8`W&_jZg}mPUU2!X9m-}VcGJAn~-Wq?6d|Z5AJZtuf`%?3-X6gs* zIMlE-`oA;KoaSkH`xLJHyEtKKc?Pf8mcPb1FB@-7ytMUD$I|Cn&l}c>ZklEnDhA}Q zSi1h_VxYH<>HJ+*&iOLRF@DL_@ZF2cj%mgu-nq0rRukxaPw)DluD}Y!C-PUfIX6(^ z)+PJ(dx1scjE!H;zY_(TqT|0lTEENp5d;M*!WvwvtG8Q%%ut8zdQ1d zG*_%WS>0dvVDqw#)?ZKL`+hHd8F*mUysC))rfYBhb<4G`sl3f<%N6~Zcm3tXR@wh9 zYJbs4I=ese!r~QM-`ri`eusDF-NuaId=B6kneuMIw{LnQyff3kddz>YNPEW))|c+v zlyeR@6tBGGdRO=O^~;aI9ki0ucQg*M-BY^!!}V_3 zs^8B}oy-XQ ze(B@g%`0~Mb*hKgUf!SVAbv*BzptX`$mGXumt{VGld0Zo`LBF3x6+-`S=`DwKb|Rh zh&)Vr{)l7uKFevfeRogDe4qd9#+)-74W}osH#)v9weRm~nd+&Q-|CBNHa?lAbf-vAjv!DJXV2)=O cmn0UIQ~=kga2c8#7#W!wbE&Gj`nz!f0NwgEeE\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>import samples/\-ttbar\_sl\_1.lhe.gz as testset\\ +} +\texttt{ }\texttt{ }\texttt{ma5>set main.normalize = none\\ +} +\texttt{ }\texttt{ }\texttt{ma5>set main.lumi = 1.0\\ +} +\texttt{ }\texttt{ }\texttt{ma5>define e = e+ e-\\ +} +\texttt{ }\texttt{ }\texttt{ma5>define mu = mu+ mu-\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot SQRTS 50 0 5000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot SCALE 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ALPHA\_QCD 50 0 0.3\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ALPHA\_QED 50 0 0.02\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot TET 50 0 5000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot THT 50 0 5000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MET 50 0 1500\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MHT 50 0 1500\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot NPID\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot NAPID\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot WEIGHTS\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(e) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(e) 50 0 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(e) 32 -3.2 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(e) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ET(e) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e) 50 0 20\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT(e) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(e) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot P(e) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PX(e) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PY(e) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PZ(e) 50 -2000 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot R(e) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot Y(e) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot BETA(e) 50 0 1.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(e) 50 1 100\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(e[1]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(e[1]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(e[1]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(e[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(e[2]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(e[2]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(e[2]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(e[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e[1] e[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[1] e[2]) 50 0 1500 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e[1],e[2]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(e[1],e[2]) 32 0 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(e[1],e[2]) 32 0 6.4 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(mu) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(mu) 50 0 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(mu) 32 -3.2 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(mu) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ET(mu) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(mu) 50 0 20\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT(mu) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(mu) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot P(mu) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PX(mu) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PY(mu) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PZ(mu) 50 -2000 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot R(mu) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot Y(mu) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot BETA(mu) 50 0 1.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(mu) 50 1 100\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(mu[1]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(mu[1]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(mu[1]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(mu[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(mu[2]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(mu[2]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(mu[2]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(mu[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(mu[1] mu[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu[1] mu[2]) 50 0 1500 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu[1],mu[2]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(mu[1],mu[2]) 32 0 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(mu[1],mu[2]) 32 0 6.4 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(b) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(b) 50 0 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(b) 32 -3.2 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(b) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ET(b) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(b) 50 0 50\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT(b) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(b) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot P(b) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PX(b) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PY(b) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PZ(b) 50 -2000 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot R(b) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot Y(b) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot BETA(b) 50 0 1.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(b) 50 1 100\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(b[1]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(b[1]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(b[1]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(b[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(b[2]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(b[2]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(b[2]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(b[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(b[1] b[2]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[1] b[2]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b[1],b[2]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(b[1],b[2]) 32 0 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(b[1],b[2]) 32 0 6.4 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(j) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(j) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(j) 50 0 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(j) 32 -3.2 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(j) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ET(j) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(j) 50 0 200\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT(j) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(j) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot P(j) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PX(j) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PY(j) 50 -1000 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PZ(j) 50 -2000 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot R(j) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot Y(j) 50 -8 8\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot BETA(j) 50 0 1.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(j) 50 1 100\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(j[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(j[1]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(j[1]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(j[1]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(j[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(j[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot ETA(j[2]) 50 -8 8 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PHI(j[2]) 32 -3.2 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot E(j[2]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(j[2]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(j[1] j[2]) 50 0 3000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(j[1] j[2]) 50 0 3000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(j[1],j[2]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(j[1],j[2]) 32 0 3.2 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(j[1],j[2]) 32 0 6.4 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e,e) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(e,e) 32 0 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(e,e) 32 0 6.4\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e e) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e e) 50 0 1500\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu,mu) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(mu,mu) 32 0 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(mu,mu) 32 0 6.4\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(mu mu) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu mu) 50 0 1500\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b,b) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(b,b) 32 0 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(b,b) 32 0 6.4\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(b b) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b b) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(j,j) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(j,j) 32 0 3.2\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(j,j) 32 0 6.4\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(j j) 50 0 3000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(j j) 50 0 3000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e,mu) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e,j) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu,j) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b,j) 50 0 10\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e mu) 50 0 1000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e j) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(mu j) 50 0 2000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(b j) 50 0 3000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e mu) 50 0 1500\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b j) 50 0 3000\\ +} +\texttt{ }\texttt{ }\texttt{ma5>\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e[1],mu[1]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e[1],j[1]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu[1],j[1]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b[1],j[1]) 50 0 10 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e[1] mu[1]) 50 0 1000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(e[1] j[1]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(mu[1] j[1]) 50 0 2000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot M(b[1] j[1]) 50 0 3000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[1] mu[1]) 50 0 1500 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[1] j[1]) 50 0 3000 [PTordering]\\ +} +\texttt{ }\texttt{ }\texttt{ma5>submit\\ +} +\texttt{ }\texttt{ }\subsection{ Configuration} + +\begin{itemize} + \item MadAnalysis version 1.11.0 (2025/\-04/\-23). + \item Histograms are not scaled. + +\end{itemize} +% ----------------------------------------------------------------------------- +% SECTION Datasets +% ----------------------------------------------------------------------------- +\newpage +\section{ Datasets} + +\subsection{ testset} + +\begin{itemize} + \item Sample consisting of: \textcolor{blue}{signal} events. + \item Generated events: \textcolor{blue}{1000 } events. + \item Normalization to the luminosity: \textcolor{blue}{15447}\textcolor{blue}{ +/\-- }\textcolor{blue}{114 } events. + \item\textcolor{red}{Ratio (event weight): }\textcolor{red}{15 }\textcolor{red}{ - warning: please generate more events (weight larger than 1)!} +\textcolor{red}{} +\end{itemize} +\begin{table}[H] + \begin{center} + \begin{tabular}{|m{55.0mm}|m{25.0mm}|m{30.0mm}|m{30.0mm}|} + \hline + {\cellcolor{yellow} Path to the event file}& {\cellcolor{yellow} Nr. of events}& {\cellcolor{yellow} Cross section (pb)}& {\cellcolor{yellow} Negative wgts (\%)}\\ + \hline + {\cellcolor{white} samples/\-ttbar\_sl\_1.lhe.gz}& {\cellcolor{white} 1000}& {\cellcolor{white} 15.4 @ 0.74\%}& {\cellcolor{white} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +% ----------------------------------------------------------------------------- +% SECTION Histos and cuts +% ----------------------------------------------------------------------------- +\newpage +\section{ Histos and cuts} + +\subsection{ Histogram 1} + +\textbf{* Plot: SQRTS}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 489.445}& {\cellcolor{white} 124.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_0.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 2} + +\textbf{* Plot: SCALE}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 214.211}& {\cellcolor{white} 45.19}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_1.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 3} + +\textbf{* Plot: ALPHA\_QCD}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.114843}& {\cellcolor{white} 0.002765}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_2.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 4} + +\textbf{* Plot: ALPHA\_QED}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0795775}& {\cellcolor{white} 4.683e-05}& {\cellcolor{red} 0.0}& {\cellcolor{red} 100.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_3.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 5} + +\textbf{* Plot: TET}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 308.078}& {\cellcolor{white} 93.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_4.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 6} + +\textbf{* Plot: THT}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 258.83}& {\cellcolor{white} 79.71}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_5.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 7} + +\textbf{* Plot: MET}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 58.7171}& {\cellcolor{white} 37.97}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_6.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 8} + +\textbf{* Plot: MHT}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.1686}& {\cellcolor{white} 52.75}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_7.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 9} + +\textbf{* Plot: NPID}\\ + \begin{table}[H] + \begin{center} + \caption{ Statistics table} + \begin{tabular}{|m{40.0mm}|m{64.0mm}|m{36.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries /\- events}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 92.7}& {\cellcolor{white} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_8.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 10} + +\textbf{* Plot: NAPID}\\ + \begin{table}[H] + \begin{center} + \caption{ Statistics table} + \begin{tabular}{|m{40.0mm}|m{64.0mm}|m{36.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries /\- events}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 92.7}& {\cellcolor{white} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_9.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 11} + +\textbf{* Plot: WEIGHTS}\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0154478}& {\cellcolor{white} 1.051e-05}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_10.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 12} + +\textbf{* Plot: PT ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 49.9595}& {\cellcolor{white} 38.03}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_11.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 13} + +\textbf{* Plot: ETA ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0509938}& {\cellcolor{white} 1.152}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_12.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 14} + +\textbf{* Plot: ABSETA ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.946635}& {\cellcolor{white} 0.6582}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_13.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 15} + +\textbf{* Plot: PHI ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0207825}& {\cellcolor{white} 1.754}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_14.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 16} + +\textbf{* Plot: E ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.8171}& {\cellcolor{white} 77.33}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_15.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 17} + +\textbf{* Plot: ET ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 49.9595}& {\cellcolor{white} 38.03}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_16.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 18} + +\textbf{* Plot: M ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.44661e-06}& {\cellcolor{white} 0.0005939}& {\cellcolor{red} 51.58}& {\cellcolor{red} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_17.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 19} + +\textbf{* Plot: MT ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.000106287}& {\cellcolor{white} 0.0001899}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_18.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 20} + +\textbf{* Plot: MT\_MET ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 58.4921}& {\cellcolor{white} 22.25}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_19.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 21} + +\textbf{* Plot: P ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.8171}& {\cellcolor{white} 77.33}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_20.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 22} + +\textbf{* Plot: PX ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.09172}& {\cellcolor{white} 43.07}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_21.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 23} + +\textbf{* Plot: PY ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.615749}& {\cellcolor{white} 45.63}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_22.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 24} + +\textbf{* Plot: PZ ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 7.00982}& {\cellcolor{white} 98.49}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_23.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 25} + +\textbf{* Plot: R ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.93047}& {\cellcolor{white} 0.8241}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_24.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 26} + +\textbf{* Plot: Y ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0509938}& {\cellcolor{white} 1.152}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_25.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 27} + +\textbf{* Plot: BETA ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_26.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 28} + +\textbf{* Plot: GAMMA ( e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} nan}& {\cellcolor{white} nan}& {\cellcolor{red} 0.0}& {\cellcolor{red} 48.42}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_27.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 29} + +\textbf{* Plot: PT ( e[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 49.9595}& {\cellcolor{white} 38.03}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_28.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 30} + +\textbf{* Plot: ETA ( e[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0509938}& {\cellcolor{white} 1.152}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_29.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 31} + +\textbf{* Plot: PHI ( e[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0207825}& {\cellcolor{white} 1.754}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_30.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 32} + +\textbf{* Plot: E ( e[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.8171}& {\cellcolor{white} 77.33}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_31.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 33} + +\textbf{* Plot: MT\_MET ( e[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 58.4921}& {\cellcolor{white} 22.25}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_32.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 34} + +\textbf{* Plot: PT ( e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_33.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 35} + +\textbf{* Plot: ETA ( e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_34.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 36} + +\textbf{* Plot: PHI ( e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_35.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 37} + +\textbf{* Plot: E ( e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_36.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 38} + +\textbf{* Plot: MT\_MET ( e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_37.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 39} + +\textbf{* Plot: M ( e[1] e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_38.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 40} + +\textbf{* Plot: PT ( e[1] e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_39.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 41} + +\textbf{* Plot: DELTAR ( e[1] , e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_40.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 42} + +\textbf{* Plot: DPHI\_0\_PI ( e[1] , e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_41.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 43} + +\textbf{* Plot: DPHI\_0\_2PI ( e[1] , e[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_42.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 44} + +\textbf{* Plot: PT ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 48.5205}& {\cellcolor{white} 33.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_43.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 45} + +\textbf{* Plot: ETA ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0359047}& {\cellcolor{white} 1.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_44.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 46} + +\textbf{* Plot: ABSETA ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.938579}& {\cellcolor{white} 0.6297}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_45.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 47} + +\textbf{* Plot: PHI ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.0970943}& {\cellcolor{white} 1.804}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_46.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 48} + +\textbf{* Plot: E ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.6679}& {\cellcolor{white} 68.85}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_47.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 49} + +\textbf{* Plot: ET ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 48.5205}& {\cellcolor{white} 33.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_48.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 50} + +\textbf{* Plot: M ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 5.6886e-06}& {\cellcolor{white} 0.0005586}& {\cellcolor{red} 47.57}& {\cellcolor{red} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_49.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 51} + +\textbf{* Plot: MT ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.000106791}& {\cellcolor{white} 0.0001948}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_50.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 52} + +\textbf{* Plot: MT\_MET ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 59.2324}& {\cellcolor{white} 21.72}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_51.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 53} + +\textbf{* Plot: P ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.6679}& {\cellcolor{white} 68.85}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_52.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 54} + +\textbf{* Plot: PX ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.91001}& {\cellcolor{white} 42.25}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_53.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 55} + +\textbf{* Plot: PY ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.97706}& {\cellcolor{white} 40.74}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_54.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 56} + +\textbf{* Plot: PZ ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.0695523}& {\cellcolor{white} 91.06}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_55.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 57} + +\textbf{* Plot: R ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.9459}& {\cellcolor{white} 0.8686}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_56.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 58} + +\textbf{* Plot: Y ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0359047}& {\cellcolor{white} 1.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_57.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 59} + +\textbf{* Plot: BETA ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_58.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 60} + +\textbf{* Plot: GAMMA ( mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} nan}& {\cellcolor{white} nan}& {\cellcolor{red} 0.0}& {\cellcolor{red} 52.43}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_59.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 61} + +\textbf{* Plot: PT ( mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 48.5205}& {\cellcolor{white} 33.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_60.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 62} + +\textbf{* Plot: ETA ( mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0359047}& {\cellcolor{white} 1.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_61.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 63} + +\textbf{* Plot: PHI ( mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.0970943}& {\cellcolor{white} 1.804}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_62.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 64} + +\textbf{* Plot: E ( mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.6679}& {\cellcolor{white} 68.85}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_63.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 65} + +\textbf{* Plot: MT\_MET ( mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 59.2324}& {\cellcolor{white} 21.72}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_64.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 66} + +\textbf{* Plot: PT ( mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_65.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 67} + +\textbf{* Plot: ETA ( mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_66.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 68} + +\textbf{* Plot: PHI ( mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_67.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 69} + +\textbf{* Plot: E ( mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_68.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 70} + +\textbf{* Plot: MT\_MET ( mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_69.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 71} + +\textbf{* Plot: M ( mu[1] mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_70.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 72} + +\textbf{* Plot: PT ( mu[1] mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_71.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 73} + +\textbf{* Plot: DELTAR ( mu[1] , mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_72.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 74} + +\textbf{* Plot: DPHI\_0\_PI ( mu[1] , mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_73.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 75} + +\textbf{* Plot: DPHI\_0\_2PI ( mu[1] , mu[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_74.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 76} + +\textbf{* Plot: PT ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 72.2733}& {\cellcolor{white} 38.02}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_75.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 77} + +\textbf{* Plot: ETA ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.048521}& {\cellcolor{white} 1.264}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_76.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 78} + +\textbf{* Plot: ABSETA ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.02001}& {\cellcolor{white} 0.7485}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_77.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 79} + +\textbf{* Plot: PHI ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0257839}& {\cellcolor{white} 1.82}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_78.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 80} + +\textbf{* Plot: E ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 139.461}& {\cellcolor{white} 106.8}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_79.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 81} + +\textbf{* Plot: ET ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 72.3671}& {\cellcolor{white} 37.99}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_80.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 82} + +\textbf{* Plot: M ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 4.7}& {\cellcolor{white} 0.001892}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_81.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 83} + +\textbf{* Plot: MT ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 3.10162}& {\cellcolor{white} 1.297}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_82.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 84} + +\textbf{* Plot: MT\_MET ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.6682}& {\cellcolor{white} 54.39}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_83.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 85} + +\textbf{* Plot: P ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 139.338}& {\cellcolor{white} 106.9}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_84.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 86} + +\textbf{* Plot: PX ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} -1.79812}& {\cellcolor{white} 56.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_85.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 87} + +\textbf{* Plot: PY ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.05422}& {\cellcolor{white} 58.87}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_86.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 88} + +\textbf{* Plot: PZ ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.7842}& {\cellcolor{white} 155.5}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_87.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 89} + +\textbf{* Plot: R ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.03579}& {\cellcolor{white} 0.878}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_88.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 90} + +\textbf{* Plot: Y ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0482562}& {\cellcolor{white} 1.261}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_89.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 91} + +\textbf{* Plot: BETA ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.998042}& {\cellcolor{white} 0.002796}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_90.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 92} + +\textbf{* Plot: GAMMA ( b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 29.6726}& {\cellcolor{white} 22.73}& {\cellcolor{green} 0.0}& {\cellcolor{green} 2.3}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_91.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 93} + +\textbf{* Plot: PT ( b[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 72.2733}& {\cellcolor{white} 38.02}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_92.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 94} + +\textbf{* Plot: ETA ( b[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.048521}& {\cellcolor{white} 1.264}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_93.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 95} + +\textbf{* Plot: PHI ( b[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0257839}& {\cellcolor{white} 1.82}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_94.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 96} + +\textbf{* Plot: E ( b[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 139.461}& {\cellcolor{white} 106.8}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_95.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 97} + +\textbf{* Plot: MT\_MET ( b[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.6682}& {\cellcolor{white} 54.39}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_96.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 98} + +\textbf{* Plot: PT ( b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_97.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 99} + +\textbf{* Plot: ETA ( b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_98.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 100} + +\textbf{* Plot: PHI ( b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_99.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 101} + +\textbf{* Plot: E ( b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_100.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 102} + +\textbf{* Plot: MT\_MET ( b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_101.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 103} + +\textbf{* Plot: M ( b[1] b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_102.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 104} + +\textbf{* Plot: PT ( b[1] b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_103.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 105} + +\textbf{* Plot: DELTAR ( b[1] , b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_104.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 106} + +\textbf{* Plot: DPHI\_0\_PI ( b[1] , b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_105.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 107} + +\textbf{* Plot: DPHI\_0\_2PI ( b[1] , b[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_106.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 108} + +\textbf{* Plot: PT ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 56.3608}& {\cellcolor{white} 32.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_107.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 109} + +\textbf{* Plot: ETA ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.0219264}& {\cellcolor{white} 1.2}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_108.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 110} + +\textbf{* Plot: ABSETA ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.971377}& {\cellcolor{white} 0.7051}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_109.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 111} + +\textbf{* Plot: PHI ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.0781512}& {\cellcolor{white} 1.851}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_110.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 112} + +\textbf{* Plot: E ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 104.57}& {\cellcolor{white} 85.46}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_111.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 113} + +\textbf{* Plot: ET ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 56.3608}& {\cellcolor{white} 32.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_112.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 114} + +\textbf{* Plot: M ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} -1.3327e-05}& {\cellcolor{white} 0.0006733}& {\cellcolor{red} 50.9}& {\cellcolor{red} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_113.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 115} + +\textbf{* Plot: MT ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.000121728}& {\cellcolor{white} 0.0002075}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_114.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 116} + +\textbf{* Plot: MT\_MET ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 82.308}& {\cellcolor{white} 60.37}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_115.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 117} + +\textbf{* Plot: P ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 104.57}& {\cellcolor{white} 85.46}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_116.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 118} + +\textbf{* Plot: PX ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} -2.36396}& {\cellcolor{white} 45.86}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_117.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 119} + +\textbf{* Plot: PY ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.06079}& {\cellcolor{white} 46.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_118.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 120} + +\textbf{* Plot: PZ ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 4.14477}& {\cellcolor{white} 118.3}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_119.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 121} + +\textbf{* Plot: R ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.036}& {\cellcolor{white} 0.8521}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_120.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 122} + +\textbf{* Plot: Y ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.0219264}& {\cellcolor{white} 1.2}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_121.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 123} + +\textbf{* Plot: BETA ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_122.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 124} + +\textbf{* Plot: GAMMA ( j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} nan}& {\cellcolor{white} nan}& {\cellcolor{red} 0.0}& {\cellcolor{red} 49.1}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_123.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 125} + +\textbf{* Plot: PT ( j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 74.0942}& {\cellcolor{white} 34.32}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_124.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 126} + +\textbf{* Plot: ETA ( j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0200712}& {\cellcolor{white} 1.117}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_125.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 127} + +\textbf{* Plot: PHI ( j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0625323}& {\cellcolor{white} 1.856}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_126.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 128} + +\textbf{* Plot: E ( j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 129.519}& {\cellcolor{white} 93.36}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_127.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 129} + +\textbf{* Plot: MT\_MET ( j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 98.7583}& {\cellcolor{white} 67.56}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_128.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 130} + +\textbf{* Plot: PT ( j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 38.6273}& {\cellcolor{white} 17.75}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_129.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 131} + +\textbf{* Plot: ETA ( j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0237817}& {\cellcolor{white} 1.278}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_130.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 132} + +\textbf{* Plot: PHI ( j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0937701}& {\cellcolor{white} 1.845}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_131.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 133} + +\textbf{* Plot: E ( j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 79.6223}& {\cellcolor{white} 68.15}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_132.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 134} + +\textbf{* Plot: MT\_MET ( j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 65.8576}& {\cellcolor{white} 46.73}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_133.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 135} + +\textbf{* Plot: M ( j[1] j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 80.3339}& {\cellcolor{white} 4.323}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_134.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 136} + +\textbf{* Plot: PT ( j[1] j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 86.6463}& {\cellcolor{white} 54.96}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_135.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 137} + +\textbf{* Plot: DELTAR ( j[1] , j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.90737}& {\cellcolor{white} 0.6749}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_136.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 138} + +\textbf{* Plot: DPHI\_0\_PI ( j[1] , j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.55671}& {\cellcolor{white} 0.809}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_137.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 139} + +\textbf{* Plot: DPHI\_0\_2PI ( j[1] , j[2] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 3.02239}& {\cellcolor{white} 1.775}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_138.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 140} + +\textbf{* Plot: DELTAR ( e , e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_139.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 141} + +\textbf{* Plot: DPHI\_0\_PI ( e , e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_140.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 142} + +\textbf{* Plot: DPHI\_0\_2PI ( e , e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_141.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 143} + +\textbf{* Plot: M ( e e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_142.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 144} + +\textbf{* Plot: PT ( e e ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_143.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 145} + +\textbf{* Plot: DELTAR ( mu , mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_144.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 146} + +\textbf{* Plot: DPHI\_0\_PI ( mu , mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_145.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 147} + +\textbf{* Plot: DPHI\_0\_2PI ( mu , mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_146.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 148} + +\textbf{* Plot: M ( mu mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_147.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 149} + +\textbf{* Plot: PT ( mu mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_148.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 150} + +\textbf{* Plot: DELTAR ( b , b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_149.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 151} + +\textbf{* Plot: DPHI\_0\_PI ( b , b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_150.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 152} + +\textbf{* Plot: DPHI\_0\_2PI ( b , b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_151.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 153} + +\textbf{* Plot: M ( b b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_152.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 154} + +\textbf{* Plot: PT ( b b ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_153.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 155} + +\textbf{* Plot: DELTAR ( j , j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.90737}& {\cellcolor{white} 0.6749}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_154.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 156} + +\textbf{* Plot: DPHI\_0\_PI ( j , j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.55671}& {\cellcolor{white} 0.809}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_155.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 157} + +\textbf{* Plot: DPHI\_0\_2PI ( j , j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 3.14159}& {\cellcolor{white} 1.779}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_156.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 158} + +\textbf{* Plot: M ( j j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 80.3339}& {\cellcolor{white} 4.323}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_157.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 159} + +\textbf{* Plot: PT ( j j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 86.6463}& {\cellcolor{white} 54.96}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_158.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 160} + +\textbf{* Plot: DELTAR ( e , mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_159.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 161} + +\textbf{* Plot: DELTAR ( e , j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.6}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.3081}& {\cellcolor{white} 0.8766}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_160.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 162} + +\textbf{* Plot: DELTAR ( mu , j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.3}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.25996}& {\cellcolor{white} 0.8857}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_161.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 163} + +\textbf{* Plot: DELTAR ( b , j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.25698}& {\cellcolor{white} 0.8185}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_162.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 164} + +\textbf{* Plot: M ( e mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_163.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 165} + +\textbf{* Plot: M ( e j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.6}& {\cellcolor{white} 2.0}& {\cellcolor{white} 106.004}& {\cellcolor{white} 73.86}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_164.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 166} + +\textbf{* Plot: M ( j mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.3}& {\cellcolor{white} 2.0}& {\cellcolor{white} 101.989}& {\cellcolor{white} 66.26}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_165.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 167} + +\textbf{* Plot: M ( b j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 120.153}& {\cellcolor{white} 62.93}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_166.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 168} + +\textbf{* Plot: PT ( e mu ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_167.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 169} + +\textbf{* Plot: PT ( b j ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 80.8933}& {\cellcolor{white} 46.34}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_168.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 170} + +\textbf{* Plot: DELTAR ( e[1] , mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_169.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 171} + +\textbf{* Plot: DELTAR ( e[1] , j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.34591}& {\cellcolor{white} 0.8529}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_170.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 172} + +\textbf{* Plot: DELTAR ( mu[1] , j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.32408}& {\cellcolor{white} 0.8288}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_171.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 173} + +\textbf{* Plot: DELTAR ( b[1] , j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.26008}& {\cellcolor{white} 0.798}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_172.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 174} + +\textbf{* Plot: M ( e[1] mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_173.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 175} + +\textbf{* Plot: M ( e[1] j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 123.783}& {\cellcolor{white} 81.94}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_174.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 176} + +\textbf{* Plot: M ( j[1] mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 117.989}& {\cellcolor{white} 70.7}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_175.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 177} + +\textbf{* Plot: M ( b[1] j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 137.213}& {\cellcolor{white} 66.95}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_176.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 178} + +\textbf{* Plot: PT ( e[1] mu[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_177.png}\\ +\caption{ } + \end{center} +\end{figure} + \newpage +\subsection{ Histogram 179} + +\textbf{* Plot: PT ( b[1] j[1] ) }\\ + \begin{table}[H] + \begin{center} + \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} + \hline + {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ + \hline + {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.1047}& {\cellcolor{white} 50.81}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ +\hline + \end{tabular} + \end{center} +\end{table} + +\begin{figure}[H] + \begin{center} + \includegraphics[scale=0.45]{selection_178.png}\\ +\caption{ } + \end{center} +\end{figure} + \end{document} diff --git a/validation/outputs/lhe_histos_0/Output/PDF/MadAnalysis5job_0/main.toc 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0.000000e+00 # sum of weights^2 + + + + diff --git a/validation/outputs/lhe_histos_0/Output/SAF/_testset/MadAnalysis5job_0/Histograms/histos.saf b/validation/outputs/lhe_histos_0/Output/SAF/_testset/MadAnalysis5job_0/Histograms/histos.saf new file mode 100644 index 00000000..7a04d2dc --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/SAF/_testset/MadAnalysis5job_0/Histograms/histos.saf @@ -0,0 +1,12531 @@ + + + + + + "1_SQRTS" + # nbins xmin xmax + 50 0.000000e+00 5.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 7.560860e+03 0.000000e+00 # sum value*weight + 3.938538e+06 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 3.738375e+00 0.000000e+00 + 6.457193e+00 0.000000e+00 + 2.965983e+00 0.000000e+00 + 1.158587e+00 0.000000e+00 + 5.870175e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "2_SCALE" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 3.309096e+03 0.000000e+00 # sum value*weight + 7.403862e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 7.785706e+00 0.000000e+00 + 4.896962e+00 0.000000e+00 + 1.606574e+00 0.000000e+00 + 4.943306e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "3_ALPHA_QCD" + # nbins xmin xmax + 50 0.000000e+00 3.000000e-01 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.774076e+00 0.000000e+00 # sum value*weight + 2.038584e-01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 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0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "4_ALPHA_QED" + # nbins xmin xmax + 50 0.000000e+00 2.000000e-02 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.229299e+00 0.000000e+00 # sum value*weight + 9.782452e-02 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 1.544783e+01 0.000000e+00 # overflow + + + + + + "5_TET" + # nbins xmin xmax + 50 0.000000e+00 5.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 4.759141e+03 0.000000e+00 # sum value*weight + 1.601426e+06 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 5.561219e-01 0.000000e+00 # bin 2 / 50 + 8.341828e+00 0.000000e+00 + 4.788827e+00 0.000000e+00 + 1.127692e+00 0.000000e+00 + 2.935088e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "6_THT" + # nbins xmin xmax + 50 0.000000e+00 5.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 3.998356e+03 0.000000e+00 # sum value*weight + 1.133044e+06 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 3.012327e+00 0.000000e+00 # bin 2 / 50 + 9.160563e+00 0.000000e+00 + 2.394414e+00 0.000000e+00 + 5.870175e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "7_MET" + # nbins xmin xmax + 50 0.000000e+00 1.500000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 9.070516e+02 0.000000e+00 # sum value*weight + 7.553049e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 3.444866e+00 0.000000e+00 # bin 1 / 50 + 5.870175e+00 0.000000e+00 # bin 2 / 50 + 3.553001e+00 0.000000e+00 + 1.467544e+00 0.000000e+00 + 7.106002e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "8_MHT" + # nbins xmin xmax + 50 0.000000e+00 1.500000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.284774e+03 0.000000e+00 # sum value*weight + 1.498319e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.977322e+00 0.000000e+00 # bin 1 / 50 + 3.923749e+00 0.000000e+00 # bin 2 / 50 + 3.861957e+00 0.000000e+00 + 2.687922e+00 0.000000e+00 + 1.436648e+00 0.000000e+00 + 8.187350e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "9_NPID" + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 6000 0 # nentries + 9.268698e+01 0.000000e+00 # sum of event-weights over entries + + + -14 4.078227e+00 0.000000e+00 # bin 1 / 18 + -13 3.553001e+00 0.000000e+00 # bin 2 / 18 + -12 3.583897e+00 0.000000e+00 + -11 4.232705e+00 0.000000e+00 + -5 1.544783e+01 0.000000e+00 + -4 3.692031e+00 0.000000e+00 + -3 3.614792e+00 0.000000e+00 + -2 4.093675e+00 0.000000e+00 + -1 4.047331e+00 0.000000e+00 + 1 4.093675e+00 0.000000e+00 + 2 4.047331e+00 0.000000e+00 + 3 3.692031e+00 0.000000e+00 + 4 3.614792e+00 0.000000e+00 + 5 1.544783e+01 0.000000e+00 + 11 3.583897e+00 0.000000e+00 + 12 4.232705e+00 0.000000e+00 + 13 4.078227e+00 0.000000e+00 # bin 17 / 18 + 14 3.553001e+00 0.000000e+00 # bin 18 / 18 + + + + + + "10_NAPID" + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 6000 0 # nentries + 9.268698e+01 0.000000e+00 # sum of event-weights over entries + + + 1 8.141006e+00 0.000000e+00 # bin 1 / 9 + 2 8.141006e+00 0.000000e+00 # bin 2 / 9 + 3 7.306824e+00 0.000000e+00 + 4 7.306824e+00 0.000000e+00 + 5 3.089566e+01 0.000000e+00 + 11 7.816602e+00 0.000000e+00 + 12 7.816602e+00 0.000000e+00 + 13 7.631228e+00 0.000000e+00 # bin 8 / 9 + 14 7.631228e+00 0.000000e+00 # bin 9 / 9 + + + + + + "11_WEIGHTS" + # nbins xmin xmax + 100 -1.000000e+00 1.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 2.386354e-01 0.000000e+00 # sum value*weight + 3.686400e-03 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 100 + 0.000000e+00 0.000000e+00 # bin 2 / 100 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e+01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 99 / 100 + 0.000000e+00 0.000000e+00 # bin 100 / 100 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "12_PT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 3.905137e+02 0.000000e+00 # sum value*weight + 3.081525e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.158587e+00 0.000000e+00 # bin 1 / 50 + 2.657027e+00 0.000000e+00 # bin 2 / 50 + 1.869187e+00 0.000000e+00 + 1.004109e+00 0.000000e+00 + 5.252262e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "13_ETA" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 3.985985e-01 0.000000e+00 # sum value*weight + 1.039056e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 8.650785e-01 0.000000e+00 + 8.650785e-01 0.000000e+00 + 8.187350e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 6.333610e-01 0.000000e+00 + 6.642567e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "14_ABSETA" + # nbins xmin xmax + 50 0.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 7.399467e+00 0.000000e+00 # sum value*weight + 1.039056e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 8.805263e-01 0.000000e+00 # bin 1 / 50 + 8.032872e-01 0.000000e+00 # bin 2 / 50 + 6.488089e-01 0.000000e+00 + 8.032872e-01 0.000000e+00 + 5.252262e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 6.333610e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "15_PHI" + # nbins xmin xmax + 32 -3.200000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 1.624488e-01 0.000000e+00 # sum value*weight + 2.404804e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.853740e-01 0.000000e+00 # bin 1 / 32 + 1.081348e-01 0.000000e+00 # bin 2 / 32 + 2.626131e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 # bin 31 / 32 + 9.268698e-02 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "16_E" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 6.864314e+02 0.000000e+00 # sum value*weight + 1.070211e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.178144e+00 0.000000e+00 # bin 1 / 50 + 2.718818e+00 0.000000e+00 # bin 2 / 50 + 1.220379e+00 0.000000e+00 + 6.179132e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 4.634349e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "17_ET" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 3.905137e+02 0.000000e+00 # sum value*weight + 3.081525e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 3.815614e+00 0.000000e+00 # bin 1 / 50 + 2.873296e+00 0.000000e+00 # bin 2 / 50 + 7.723915e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "18_M" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 1.130754e-05 0.000000e+00 # sum value*weight + 2.756728e-06 0.000000e+00 # sum value^2*weight + + + 4.031884e+00 0.000000e+00 # underflow + 3.784718e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "19_MT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 8.307993e-04 0.000000e+00 # sum value*weight + 3.702199e-07 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 7.816602e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "20_MT_MET" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 4.572095e+02 0.000000e+00 # sum value*weight + 3.061422e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 6.179132e-01 0.000000e+00 # bin 1 / 50 + 9.886611e-01 0.000000e+00 # bin 2 / 50 + 1.699261e+00 0.000000e+00 + 3.630240e+00 0.000000e+00 + 8.650785e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "21_P" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 6.864314e+02 0.000000e+00 # sum value*weight + 1.070211e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.178144e+00 0.000000e+00 # bin 1 / 50 + 2.718818e+00 0.000000e+00 # bin 2 / 50 + 1.220379e+00 0.000000e+00 + 6.179132e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 4.634349e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "22_PX" + # nbins xmin xmax + 50 -1.000000e+03 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 1.635014e+01 0.000000e+00 # sum value*weight + 1.453728e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 2.008218e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 2.996879e+00 0.000000e+00 + 2.888744e+00 0.000000e+00 + 8.341828e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "23_PY" + # nbins xmin xmax + 50 -1.000000e+03 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 4.813067e+00 0.000000e+00 # sum value*weight + 1.627797e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.235826e-01 0.000000e+00 + 9.423176e-01 0.000000e+00 + 2.657027e+00 0.000000e+00 + 2.796057e+00 0.000000e+00 + 9.114220e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "24_PZ" + # nbins xmin xmax + 50 -2.000000e+03 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 5.479296e+01 0.000000e+00 # sum value*weight + 7.620584e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 6.179132e-02 0.000000e+00 + 9.268698e-02 0.000000e+00 + 1.699261e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 3.027775e+00 0.000000e+00 + 2.734266e+00 0.000000e+00 + 7.723915e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "25_R" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 1.508969e+01 0.000000e+00 # sum value*weight + 3.443860e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 4.634349e-02 0.000000e+00 # bin 1 / 50 + 1.699261e-01 0.000000e+00 # bin 2 / 50 + 2.935088e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 5.406740e-01 0.000000e+00 + 6.642567e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 6.951523e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 7.106002e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "26_Y" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 3.985985e-01 0.000000e+00 # sum value*weight + 1.039056e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 8.650785e-01 0.000000e+00 + 8.650785e-01 0.000000e+00 + 8.187350e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 6.333610e-01 0.000000e+00 + 6.642567e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "27_BETA" + # nbins xmin xmax + 50 0.000000e+00 1.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 7.816602e+00 0.000000e+00 # sum value*weight + 7.816602e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 7.816602e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "28_GAMMA" + # nbins xmin xmax + 50 1.000000e+00 1.000000e+02 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + nan 0.000000e+00 # sum value*weight + nan 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 4.031884e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 3.784718e+00 0.000000e+00 # overflow + + + + + + "29_PT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 3.905137e+02 0.000000e+00 # sum value*weight + 3.081525e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.158587e+00 0.000000e+00 # bin 1 / 50 + 2.657027e+00 0.000000e+00 # bin 2 / 50 + 1.869187e+00 0.000000e+00 + 1.004109e+00 0.000000e+00 + 5.252262e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "30_ETA" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 3.985985e-01 0.000000e+00 # sum value*weight + 1.039056e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 8.650785e-01 0.000000e+00 + 8.650785e-01 0.000000e+00 + 8.187350e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 6.333610e-01 0.000000e+00 + 6.642567e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "31_PHI" + # nbins xmin xmax + 32 -3.200000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 1.624488e-01 0.000000e+00 # sum value*weight + 2.404804e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.853740e-01 0.000000e+00 # bin 1 / 32 + 1.081348e-01 0.000000e+00 # bin 2 / 32 + 2.626131e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 # bin 31 / 32 + 9.268698e-02 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "32_E" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 6.864314e+02 0.000000e+00 # sum value*weight + 1.070211e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.178144e+00 0.000000e+00 # bin 1 / 50 + 2.718818e+00 0.000000e+00 # bin 2 / 50 + 1.220379e+00 0.000000e+00 + 6.179132e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 4.634349e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "33_MT_MET" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 4.572095e+02 0.000000e+00 # sum value*weight + 3.061422e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 6.179132e-01 0.000000e+00 # bin 1 / 50 + 9.886611e-01 0.000000e+00 # bin 2 / 50 + 1.699261e+00 0.000000e+00 + 3.630240e+00 0.000000e+00 + 8.650785e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "34_PT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "35_ETA" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "36_PHI" + # nbins xmin xmax + 32 -3.200000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "37_E" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "38_MT_MET" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "39_M" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "40_PT" + # nbins xmin xmax + 50 0.000000e+00 1.500000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "41_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "42_DPHI_0_PI" + # nbins xmin xmax + 32 0.000000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "43_DPHI_0_2PI" + # nbins xmin xmax + 32 0.000000e+00 6.400000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "44_PT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 3.702710e+02 0.000000e+00 # sum value*weight + 2.632720e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.174035e+00 0.000000e+00 # bin 1 / 50 + 2.641579e+00 0.000000e+00 # bin 2 / 50 + 1.776500e+00 0.000000e+00 + 1.004109e+00 0.000000e+00 + 4.943306e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "45_ETA" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 2.739970e-01 0.000000e+00 # sum value*weight + 9.748510e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.081348e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 7.260480e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 8.959741e-01 0.000000e+00 + 7.260480e-01 0.000000e+00 + 6.797045e-01 0.000000e+00 + 6.488089e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "46_ABSETA" + # nbins xmin xmax + 50 0.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 7.162511e+00 0.000000e+00 # sum value*weight + 9.748510e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 7.878393e-01 0.000000e+00 # bin 1 / 50 + 7.260480e-01 0.000000e+00 # bin 2 / 50 + 7.414958e-01 0.000000e+00 + 7.106002e-01 0.000000e+00 + 6.642567e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 6.333610e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "47_PHI" + # nbins xmin xmax + 32 -3.200000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + -7.409484e-01 0.000000e+00 # sum value*weight + 2.490426e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.162696e-01 0.000000e+00 # bin 1 / 32 + 2.317174e-01 0.000000e+00 # bin 2 / 32 + 2.317174e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 # bin 31 / 32 + 1.853740e-01 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "48_E" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 6.384889e+02 0.000000e+00 # sum value*weight + 8.959949e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.193592e+00 0.000000e+00 # bin 1 / 50 + 2.703370e+00 0.000000e+00 # bin 2 / 50 + 1.174035e+00 0.000000e+00 + 5.870175e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "49_ET" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 3.702710e+02 0.000000e+00 # sum value*weight + 2.632720e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 3.815614e+00 0.000000e+00 # bin 1 / 50 + 2.780609e+00 0.000000e+00 # bin 2 / 50 + 8.032872e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "50_M" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 4.341101e-05 0.000000e+00 # sum value*weight + 2.381371e-06 0.000000e+00 # sum value^2*weight + + + 3.630240e+00 0.000000e+00 # underflow + 4.000988e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "51_MT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 8.149434e-04 0.000000e+00 # sum value*weight + 3.766985e-07 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 7.631228e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "52_MT_MET" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 4.520159e+02 0.000000e+00 # sum value*weight + 3.037527e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 6.024654e-01 0.000000e+00 # bin 1 / 50 + 8.805263e-01 0.000000e+00 # bin 2 / 50 + 1.498439e+00 0.000000e+00 + 3.738375e+00 0.000000e+00 + 8.959741e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "53_P" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 6.384889e+02 0.000000e+00 # sum value*weight + 8.959949e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.193592e+00 0.000000e+00 # bin 1 / 50 + 2.703370e+00 0.000000e+00 # bin 2 / 50 + 1.174035e+00 0.000000e+00 + 5.870175e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "54_PX" + # nbins xmin xmax + 50 -1.000000e+03 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 1.457569e+01 0.000000e+00 # sum value*weight + 1.365179e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-01 0.000000e+00 + 7.106002e-01 0.000000e+00 + 2.888744e+00 0.000000e+00 + 2.718818e+00 0.000000e+00 + 8.805263e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "55_PY" + # nbins xmin xmax + 50 -1.000000e+03 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + -7.456166e+00 0.000000e+00 # sum value*weight + 1.267541e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 9.268698e-02 0.000000e+00 + 8.650785e-01 0.000000e+00 + 2.873296e+00 0.000000e+00 + 2.796057e+00 0.000000e+00 + 7.878393e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "56_PZ" + # nbins xmin xmax + 50 -2.000000e+03 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + -5.307692e-01 0.000000e+00 # sum value*weight + 6.327229e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 2.780609e-01 0.000000e+00 + 5.406740e-01 0.000000e+00 + 2.626131e+00 0.000000e+00 + 3.151357e+00 0.000000e+00 + 5.561219e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "57_R" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 1.484958e+01 0.000000e+00 # sum value*weight + 3.465277e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 6.179132e-02 0.000000e+00 # bin 1 / 50 + 2.008218e-01 0.000000e+00 # bin 2 / 50 + 2.471653e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 6.642567e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 5.252262e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 5.252262e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "58_Y" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 2.739970e-01 0.000000e+00 # sum value*weight + 9.748510e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.081348e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 7.260480e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 8.959741e-01 0.000000e+00 + 7.260480e-01 0.000000e+00 + 6.797045e-01 0.000000e+00 + 6.488089e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "59_BETA" + # nbins xmin xmax + 50 0.000000e+00 1.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 7.631228e+00 0.000000e+00 # sum value*weight + 7.631228e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 7.631228e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "60_GAMMA" + # nbins xmin xmax + 50 1.000000e+00 1.000000e+02 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + nan 0.000000e+00 # sum value*weight + nan 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 3.630240e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 4.000988e+00 0.000000e+00 # overflow + + + + + + "61_PT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 3.702710e+02 0.000000e+00 # sum value*weight + 2.632720e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.174035e+00 0.000000e+00 # bin 1 / 50 + 2.641579e+00 0.000000e+00 # bin 2 / 50 + 1.776500e+00 0.000000e+00 + 1.004109e+00 0.000000e+00 + 4.943306e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "62_ETA" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 2.739970e-01 0.000000e+00 # sum value*weight + 9.748510e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.081348e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 7.260480e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 8.959741e-01 0.000000e+00 + 7.260480e-01 0.000000e+00 + 6.797045e-01 0.000000e+00 + 6.488089e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "63_PHI" + # nbins xmin xmax + 32 -3.200000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + -7.409484e-01 0.000000e+00 # sum value*weight + 2.490426e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.162696e-01 0.000000e+00 # bin 1 / 32 + 2.317174e-01 0.000000e+00 # bin 2 / 32 + 2.317174e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 # bin 31 / 32 + 1.853740e-01 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "64_E" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 6.384889e+02 0.000000e+00 # sum value*weight + 8.959949e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.193592e+00 0.000000e+00 # bin 1 / 50 + 2.703370e+00 0.000000e+00 # bin 2 / 50 + 1.174035e+00 0.000000e+00 + 5.870175e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "65_MT_MET" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 4.520159e+02 0.000000e+00 # sum value*weight + 3.037527e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 6.024654e-01 0.000000e+00 # bin 1 / 50 + 8.805263e-01 0.000000e+00 # bin 2 / 50 + 1.498439e+00 0.000000e+00 + 3.738375e+00 0.000000e+00 + 8.959741e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "66_PT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "67_ETA" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "68_PHI" + # nbins xmin xmax + 32 -3.200000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "69_E" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "70_MT_MET" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "71_M" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "72_PT" + # nbins xmin xmax + 50 0.000000e+00 1.500000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "73_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "74_DPHI_0_PI" + # nbins xmin xmax + 32 0.000000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "75_DPHI_0_2PI" + # nbins xmin xmax + 32 0.000000e+00 6.400000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "76_PT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.116466e+03 0.000000e+00 # sum value*weight + 1.030253e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 2.734266e+00 0.000000e+00 # bin 2 / 50 + 4.124571e+00 0.000000e+00 + 3.244044e+00 0.000000e+00 + 2.626131e+00 0.000000e+00 + 1.065900e+00 0.000000e+00 + 7.878393e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "77_ETA" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 7.495445e-01 0.000000e+00 # sum value*weight + 2.472743e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 2.008218e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 7.723915e-01 0.000000e+00 + 1.050452e+00 0.000000e+00 + 1.328513e+00 0.000000e+00 + 1.204931e+00 0.000000e+00 + 1.467544e+00 0.000000e+00 + 1.529335e+00 0.000000e+00 + 1.405753e+00 0.000000e+00 + 1.560231e+00 0.000000e+00 + 1.050452e+00 0.000000e+00 + 8.032872e-01 0.000000e+00 + 6.951523e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "78_ABSETA" + # nbins xmin xmax + 50 0.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.575701e+01 0.000000e+00 # sum value*weight + 2.472743e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.575679e+00 0.000000e+00 # bin 1 / 50 + 1.421200e+00 0.000000e+00 # bin 2 / 50 + 1.297618e+00 0.000000e+00 + 1.313066e+00 0.000000e+00 + 1.560231e+00 0.000000e+00 + 1.328513e+00 0.000000e+00 + 1.081348e+00 0.000000e+00 + 1.019557e+00 0.000000e+00 + 8.496306e-01 0.000000e+00 + 7.260480e-01 0.000000e+00 + 6.642567e-01 0.000000e+00 + 5.252262e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 9.268698e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "79_PHI" + # nbins xmin xmax + 32 -3.200000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 3.983059e-01 0.000000e+00 # sum value*weight + 5.120302e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.853740e-01 0.000000e+00 # bin 1 / 32 + 7.260480e-01 0.000000e+00 # bin 2 / 32 + 4.788827e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 6.333610e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 6.797045e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 5.252262e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 6.333610e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 # bin 31 / 32 + 2.626131e-01 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "80_E" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 2.154376e+03 0.000000e+00 # sum value*weight + 4.768009e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 8.341828e-01 0.000000e+00 # bin 1 / 50 + 4.186362e+00 0.000000e+00 # bin 2 / 50 + 3.831062e+00 0.000000e+00 + 2.224487e+00 0.000000e+00 + 1.359409e+00 0.000000e+00 + 8.650785e-01 0.000000e+00 + 7.414958e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "81_ET" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.117915e+03 0.000000e+00 # sum value*weight + 1.031999e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.718818e+00 0.000000e+00 # bin 1 / 50 + 7.337719e+00 0.000000e+00 # bin 2 / 50 + 3.722927e+00 0.000000e+00 + 1.251274e+00 0.000000e+00 + 2.317174e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 3.089566e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "82_M" + # nbins xmin xmax + 50 0.000000e+00 5.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 7.260480e+01 0.000000e+00 # sum value*weight + 3.412425e+02 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e+01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "83_MT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 4.791326e+01 0.000000e+00 # sum value*weight + 1.745903e+02 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.544783e+01 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "84_MT_MET" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.354283e+03 0.000000e+00 # sum value*weight + 1.644331e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.266722e+00 0.000000e+00 # bin 1 / 50 + 1.683813e+00 0.000000e+00 # bin 2 / 50 + 1.930979e+00 0.000000e+00 + 2.224487e+00 0.000000e+00 + 2.579788e+00 0.000000e+00 + 2.502548e+00 0.000000e+00 + 1.405753e+00 0.000000e+00 + 8.805263e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 1.235826e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "85_P" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 2.152475e+03 0.000000e+00 # sum value*weight + 4.764596e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 8.496306e-01 0.000000e+00 # bin 1 / 50 + 4.170914e+00 0.000000e+00 # bin 2 / 50 + 3.846510e+00 0.000000e+00 + 2.224487e+00 0.000000e+00 + 1.343961e+00 0.000000e+00 + 8.650785e-01 0.000000e+00 + 7.414958e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "86_PX" + # nbins xmin xmax + 50 -1.000000e+03 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + -2.777710e+01 0.000000e+00 # sum value*weight + 4.947865e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 1.699261e-01 0.000000e+00 + 8.496306e-01 0.000000e+00 + 2.811505e+00 0.000000e+00 + 3.985540e+00 0.000000e+00 + 3.892853e+00 0.000000e+00 + 2.595235e+00 0.000000e+00 + 8.187350e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "87_PY" + # nbins xmin xmax + 50 -1.000000e+03 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.628535e+01 0.000000e+00 # sum value*weight + 5.354667e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 2.317174e-01 0.000000e+00 + 7.414958e-01 0.000000e+00 + 2.718818e+00 0.000000e+00 + 3.939197e+00 0.000000e+00 + 3.692031e+00 0.000000e+00 + 2.780609e+00 0.000000e+00 + 8.650785e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "88_PZ" + # nbins xmin xmax + 50 -2.000000e+03 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 4.300979e+01 0.000000e+00 # sum value*weight + 3.734343e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 1.853740e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 7.106002e-01 0.000000e+00 + 1.482992e+00 0.000000e+00 + 4.248153e+00 0.000000e+00 + 4.433527e+00 0.000000e+00 + 2.023666e+00 0.000000e+00 + 7.723915e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "89_R" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 3.144850e+01 0.000000e+00 # sum value*weight + 7.593045e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 6.179132e-02 0.000000e+00 # bin 1 / 50 + 3.244044e-01 0.000000e+00 # bin 2 / 50 + 4.634349e-01 0.000000e+00 + 5.406740e-01 0.000000e+00 + 9.114220e-01 0.000000e+00 + 8.650785e-01 0.000000e+00 + 1.004109e+00 0.000000e+00 + 8.341828e-01 0.000000e+00 + 1.158587e+00 0.000000e+00 + 1.035005e+00 0.000000e+00 + 1.158587e+00 0.000000e+00 + 1.158587e+00 0.000000e+00 + 1.189483e+00 0.000000e+00 + 1.174035e+00 0.000000e+00 + 1.297618e+00 0.000000e+00 + 1.096796e+00 0.000000e+00 + 5.715697e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "90_Y" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 7.454531e-01 0.000000e+00 # sum value*weight + 2.458731e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 2.008218e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 8.032872e-01 0.000000e+00 + 1.035005e+00 0.000000e+00 + 1.328513e+00 0.000000e+00 + 1.189483e+00 0.000000e+00 + 1.498439e+00 0.000000e+00 + 1.544783e+00 0.000000e+00 + 1.405753e+00 0.000000e+00 + 1.544783e+00 0.000000e+00 + 1.065900e+00 0.000000e+00 + 7.878393e-01 0.000000e+00 + 7.106002e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "91_BETA" + # nbins xmin xmax + 50 0.000000e+00 1.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.541759e+01 0.000000e+00 # sum value*weight + 1.538753e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.081348e-01 0.000000e+00 + 1.533970e+01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "92_GAMMA" + # nbins xmin xmax + 50 1.000000e+00 1.000000e+02 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 4.583778e+02 0.000000e+00 # sum value*weight + 2.158447e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 6.179132e-02 0.000000e+00 # bin 2 / 50 + 2.626131e-01 0.000000e+00 + 6.951523e-01 0.000000e+00 + 9.114220e-01 0.000000e+00 + 9.268698e-01 0.000000e+00 + 1.112244e+00 0.000000e+00 + 9.886611e-01 0.000000e+00 + 9.268698e-01 0.000000e+00 + 1.050452e+00 0.000000e+00 + 8.341828e-01 0.000000e+00 + 8.187350e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 5.252262e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 1.544783e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 1.390305e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 4.634349e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 3.553001e-01 0.000000e+00 # overflow + + + + + + "93_PT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.116466e+03 0.000000e+00 # sum value*weight + 1.030253e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 2.734266e+00 0.000000e+00 # bin 2 / 50 + 4.124571e+00 0.000000e+00 + 3.244044e+00 0.000000e+00 + 2.626131e+00 0.000000e+00 + 1.065900e+00 0.000000e+00 + 7.878393e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "94_ETA" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 7.495445e-01 0.000000e+00 # sum value*weight + 2.472743e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 2.008218e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 7.723915e-01 0.000000e+00 + 1.050452e+00 0.000000e+00 + 1.328513e+00 0.000000e+00 + 1.204931e+00 0.000000e+00 + 1.467544e+00 0.000000e+00 + 1.529335e+00 0.000000e+00 + 1.405753e+00 0.000000e+00 + 1.560231e+00 0.000000e+00 + 1.050452e+00 0.000000e+00 + 8.032872e-01 0.000000e+00 + 6.951523e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "95_PHI" + # nbins xmin xmax + 32 -3.200000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 3.983059e-01 0.000000e+00 # sum value*weight + 5.120302e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.853740e-01 0.000000e+00 # bin 1 / 32 + 7.260480e-01 0.000000e+00 # bin 2 / 32 + 4.788827e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 6.333610e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 6.797045e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 5.252262e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 6.333610e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 # bin 31 / 32 + 2.626131e-01 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "96_E" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 2.154376e+03 0.000000e+00 # sum value*weight + 4.768009e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 8.341828e-01 0.000000e+00 # bin 1 / 50 + 4.186362e+00 0.000000e+00 # bin 2 / 50 + 3.831062e+00 0.000000e+00 + 2.224487e+00 0.000000e+00 + 1.359409e+00 0.000000e+00 + 8.650785e-01 0.000000e+00 + 7.414958e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "97_MT_MET" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.354283e+03 0.000000e+00 # sum value*weight + 1.644331e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.266722e+00 0.000000e+00 # bin 1 / 50 + 1.683813e+00 0.000000e+00 # bin 2 / 50 + 1.930979e+00 0.000000e+00 + 2.224487e+00 0.000000e+00 + 2.579788e+00 0.000000e+00 + 2.502548e+00 0.000000e+00 + 1.405753e+00 0.000000e+00 + 8.805263e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 1.235826e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "98_PT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "99_ETA" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "100_PHI" + # nbins xmin xmax + 32 -3.200000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "101_E" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "102_MT_MET" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "103_M" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "104_PT" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "105_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "106_DPHI_0_PI" + # nbins xmin xmax + 32 0.000000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "107_DPHI_0_2PI" + # nbins xmin xmax + 32 0.000000e+00 6.400000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "108_PT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 1.741303e+03 0.000000e+00 # sum value*weight + 1.309156e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 1.146229e+01 0.000000e+00 # bin 2 / 50 + 8.542650e+00 0.000000e+00 + 5.499427e+00 0.000000e+00 + 2.610683e+00 0.000000e+00 + 1.266722e+00 0.000000e+00 + 6.951523e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "109_ETA" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 6.774316e-01 0.000000e+00 # sum value*weight + 4.451328e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 6.179132e-02 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 8.496306e-01 0.000000e+00 + 1.112244e+00 0.000000e+00 + 1.745605e+00 0.000000e+00 + 1.884635e+00 0.000000e+00 + 2.873296e+00 0.000000e+00 + 2.888744e+00 0.000000e+00 + 3.166805e+00 0.000000e+00 + 3.336731e+00 0.000000e+00 + 2.657027e+00 0.000000e+00 + 2.425309e+00 0.000000e+00 + 2.085457e+00 0.000000e+00 + 1.853740e+00 0.000000e+00 + 1.390305e+00 0.000000e+00 + 8.187350e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "110_ABSETA" + # nbins xmin xmax + 50 0.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 3.001133e+01 0.000000e+00 # sum value*weight + 4.451328e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 3.274940e+00 0.000000e+00 # bin 1 / 50 + 3.228596e+00 0.000000e+00 # bin 2 / 50 + 2.826953e+00 0.000000e+00 + 2.718818e+00 0.000000e+00 + 2.734266e+00 0.000000e+00 + 2.564340e+00 0.000000e+00 + 1.915531e+00 0.000000e+00 + 2.054561e+00 0.000000e+00 + 1.930979e+00 0.000000e+00 + 1.668366e+00 0.000000e+00 + 1.328513e+00 0.000000e+00 + 1.174035e+00 0.000000e+00 + 1.019557e+00 0.000000e+00 + 6.488089e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "111_PHI" + # nbins xmin xmax + 32 -3.200000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 2.414534e+00 0.000000e+00 # sum value*weight + 1.059899e+02 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 6.951523e-01 0.000000e+00 # bin 1 / 32 + 1.019557e+00 0.000000e+00 # bin 2 / 32 + 9.114220e-01 0.000000e+00 + 9.114220e-01 0.000000e+00 + 8.650785e-01 0.000000e+00 + 7.414958e-01 0.000000e+00 + 1.220379e+00 0.000000e+00 + 1.220379e+00 0.000000e+00 + 9.732133e-01 0.000000e+00 + 9.423176e-01 0.000000e+00 + 9.423176e-01 0.000000e+00 + 8.805263e-01 0.000000e+00 + 8.496306e-01 0.000000e+00 + 9.886611e-01 0.000000e+00 + 8.805263e-01 0.000000e+00 + 9.732133e-01 0.000000e+00 + 8.496306e-01 0.000000e+00 + 1.019557e+00 0.000000e+00 + 8.496306e-01 0.000000e+00 + 9.886611e-01 0.000000e+00 + 8.341828e-01 0.000000e+00 + 9.577655e-01 0.000000e+00 + 1.065900e+00 0.000000e+00 + 8.959741e-01 0.000000e+00 + 1.035005e+00 0.000000e+00 + 9.732133e-01 0.000000e+00 + 1.050452e+00 0.000000e+00 + 1.158587e+00 0.000000e+00 + 1.127692e+00 0.000000e+00 + 1.174035e+00 0.000000e+00 + 9.732133e-01 0.000000e+00 # bin 31 / 32 + 9.268698e-01 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "112_E" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 3.230772e+03 0.000000e+00 # sum value*weight + 5.634637e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 4.557110e+00 0.000000e+00 # bin 1 / 50 + 1.147774e+01 0.000000e+00 # bin 2 / 50 + 6.086445e+00 0.000000e+00 + 3.583897e+00 0.000000e+00 + 1.838292e+00 0.000000e+00 + 1.158587e+00 0.000000e+00 + 6.951523e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "113_ET" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 1.741303e+03 0.000000e+00 # sum value*weight + 1.309156e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.146229e+01 0.000000e+00 # bin 1 / 50 + 1.404208e+01 0.000000e+00 # bin 2 / 50 + 3.877405e+00 0.000000e+00 + 1.143139e+00 0.000000e+00 + 2.471653e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "114_M" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+02 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + -4.117471e-04 0.000000e+00 # sum value*weight + 1.400965e-05 0.000000e+00 # sum value^2*weight + + + 1.572589e+01 0.000000e+00 # underflow + 1.516977e+01 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "115_MT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 3.760853e-03 0.000000e+00 # sum value*weight + 1.788649e-06 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 3.089566e+01 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "116_MT_MET" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 2.542959e+03 0.000000e+00 # sum value*weight + 3.219044e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 3.583897e+00 0.000000e+00 # bin 1 / 50 + 4.263601e+00 0.000000e+00 # bin 2 / 50 + 5.066888e+00 0.000000e+00 + 4.618901e+00 0.000000e+00 + 4.031884e+00 0.000000e+00 + 2.904192e+00 0.000000e+00 + 1.807396e+00 0.000000e+00 + 1.405753e+00 0.000000e+00 + 1.004109e+00 0.000000e+00 + 8.650785e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 1.081348e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "117_P" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 3.230772e+03 0.000000e+00 # sum value*weight + 5.634637e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 4.557110e+00 0.000000e+00 # bin 1 / 50 + 1.147774e+01 0.000000e+00 # bin 2 / 50 + 6.086445e+00 0.000000e+00 + 3.583897e+00 0.000000e+00 + 1.838292e+00 0.000000e+00 + 1.158587e+00 0.000000e+00 + 6.951523e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "118_PX" + # nbins xmin xmax + 50 -1.000000e+03 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + -7.303598e+01 0.000000e+00 # sum value*weight + 6.514231e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 2.935088e-01 0.000000e+00 + 8.341828e-01 0.000000e+00 + 4.170914e+00 0.000000e+00 + 1.090617e+01 0.000000e+00 + 1.008743e+01 0.000000e+00 + 3.398523e+00 0.000000e+00 + 8.496306e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "119_PY" + # nbins xmin xmax + 50 -1.000000e+03 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 3.277366e+01 0.000000e+00 # sum value*weight + 6.577325e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.081348e-01 0.000000e+00 + 9.114220e-01 0.000000e+00 + 4.124571e+00 0.000000e+00 + 9.793924e+00 0.000000e+00 + 1.064355e+01 0.000000e+00 + 4.000988e+00 0.000000e+00 + 9.268698e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "120_PZ" + # nbins xmin xmax + 50 -2.000000e+03 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 1.280553e+02 0.000000e+00 # sum value*weight + 4.325481e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 9.268698e-02 0.000000e+00 + 1.235826e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 1.019557e+00 0.000000e+00 + 2.857849e+00 0.000000e+00 + 1.062811e+01 0.000000e+00 + 1.044273e+01 0.000000e+00 + 2.904192e+00 0.000000e+00 + 1.251274e+00 0.000000e+00 + 4.634349e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "121_R" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 6.290370e+01 0.000000e+00 # sum value*weight + 1.505032e+02 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 3.089566e-01 0.000000e+00 # bin 1 / 50 + 5.870175e-01 0.000000e+00 # bin 2 / 50 + 7.106002e-01 0.000000e+00 + 1.050452e+00 0.000000e+00 + 1.343961e+00 0.000000e+00 + 1.714709e+00 0.000000e+00 + 2.116353e+00 0.000000e+00 + 2.116353e+00 0.000000e+00 + 2.317174e+00 0.000000e+00 + 2.440757e+00 0.000000e+00 + 2.023666e+00 0.000000e+00 + 2.502548e+00 0.000000e+00 + 2.672475e+00 0.000000e+00 + 2.425309e+00 0.000000e+00 + 1.915531e+00 0.000000e+00 + 2.363518e+00 0.000000e+00 + 1.220379e+00 0.000000e+00 + 6.179132e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "122_Y" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 6.774316e-01 0.000000e+00 # sum value*weight + 4.451328e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 6.179132e-02 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 8.496306e-01 0.000000e+00 + 1.112244e+00 0.000000e+00 + 1.745605e+00 0.000000e+00 + 1.884635e+00 0.000000e+00 + 2.873296e+00 0.000000e+00 + 2.888744e+00 0.000000e+00 + 3.166805e+00 0.000000e+00 + 3.336731e+00 0.000000e+00 + 2.657027e+00 0.000000e+00 + 2.425309e+00 0.000000e+00 + 2.085457e+00 0.000000e+00 + 1.853740e+00 0.000000e+00 + 1.390305e+00 0.000000e+00 + 8.187350e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "123_BETA" + # nbins xmin xmax + 50 0.000000e+00 1.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 3.089566e+01 0.000000e+00 # sum value*weight + 3.089566e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e+01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "124_GAMMA" + # nbins xmin xmax + 50 1.000000e+00 1.000000e+02 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + nan 0.000000e+00 # sum value*weight + nan 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.572589e+01 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 1.516977e+01 0.000000e+00 # overflow + + + + + + "125_PT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.144595e+03 0.000000e+00 # sum value*weight + 1.029998e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 1.235826e+00 0.000000e+00 # bin 2 / 50 + 4.927858e+00 0.000000e+00 + 4.418079e+00 0.000000e+00 + 2.301727e+00 0.000000e+00 + 1.112244e+00 0.000000e+00 + 6.797045e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "126_ETA" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 3.100565e-01 0.000000e+00 # sum value*weight + 1.929278e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.853740e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 8.959741e-01 0.000000e+00 + 8.650785e-01 0.000000e+00 + 1.498439e+00 0.000000e+00 + 1.513887e+00 0.000000e+00 + 1.622022e+00 0.000000e+00 + 1.652918e+00 0.000000e+00 + 1.436648e+00 0.000000e+00 + 1.390305e+00 0.000000e+00 + 1.189483e+00 0.000000e+00 + 8.187350e-01 0.000000e+00 + 6.797045e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "127_PHI" + # nbins xmin xmax + 32 -3.200000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 9.659884e-01 0.000000e+00 # sum value*weight + 5.325114e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.471653e-01 0.000000e+00 # bin 1 / 32 + 5.715697e-01 0.000000e+00 # bin 2 / 32 + 4.943306e-01 0.000000e+00 + 5.406740e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 6.333610e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 5.252262e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 5.252262e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 # bin 31 / 32 + 5.097784e-01 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "128_E" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 2.000782e+03 0.000000e+00 # sum value*weight + 3.937855e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.626131e-01 0.000000e+00 # bin 1 / 50 + 5.205919e+00 0.000000e+00 # bin 2 / 50 + 3.861957e+00 0.000000e+00 + 2.409861e+00 0.000000e+00 + 1.359409e+00 0.000000e+00 + 7.723915e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "129_MT_MET" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.525602e+03 0.000000e+00 # sum value*weight + 2.211726e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.467544e+00 0.000000e+00 # bin 1 / 50 + 1.637470e+00 0.000000e+00 # bin 2 / 50 + 1.745605e+00 0.000000e+00 + 1.915531e+00 0.000000e+00 + 2.116353e+00 0.000000e+00 + 1.853740e+00 0.000000e+00 + 1.204931e+00 0.000000e+00 + 1.019557e+00 0.000000e+00 + 6.333610e-01 0.000000e+00 + 7.260480e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 1.081348e-01 0.000000e+00 + 3.089566e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "130_PT" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 5.967076e+02 0.000000e+00 # sum value*weight + 2.791573e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 1.022646e+01 0.000000e+00 # bin 2 / 50 + 3.614792e+00 0.000000e+00 + 1.081348e+00 0.000000e+00 + 3.089566e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "131_ETA" + # nbins xmin xmax + 50 -8.000000e+00 8.000000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 3.673751e-01 0.000000e+00 # sum value*weight + 2.522050e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 8.496306e-01 0.000000e+00 + 1.019557e+00 0.000000e+00 + 1.374857e+00 0.000000e+00 + 1.374857e+00 0.000000e+00 + 1.544783e+00 0.000000e+00 + 1.683813e+00 0.000000e+00 + 1.220379e+00 0.000000e+00 + 1.035005e+00 0.000000e+00 + 8.959741e-01 0.000000e+00 + 1.035005e+00 0.000000e+00 + 7.106002e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "132_PHI" + # nbins xmin xmax + 32 -3.200000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.448545e+00 0.000000e+00 # sum value*weight + 5.273879e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 4.479871e-01 0.000000e+00 # bin 1 / 32 + 4.479871e-01 0.000000e+00 # bin 2 / 32 + 4.170914e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 5.252262e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 # bin 31 / 32 + 4.170914e-01 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "133_E" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.229991e+03 0.000000e+00 # sum value*weight + 1.696782e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 4.294497e+00 0.000000e+00 # bin 1 / 50 + 6.271819e+00 0.000000e+00 # bin 2 / 50 + 2.224487e+00 0.000000e+00 + 1.174035e+00 0.000000e+00 + 4.788827e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 3.089566e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "134_MT_MET" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.017357e+03 0.000000e+00 # sum value*weight + 1.007318e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.116353e+00 0.000000e+00 # bin 1 / 50 + 2.626131e+00 0.000000e+00 # bin 2 / 50 + 3.321283e+00 0.000000e+00 + 2.703370e+00 0.000000e+00 + 1.915531e+00 0.000000e+00 + 1.050452e+00 0.000000e+00 + 6.024654e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "135_M" + # nbins xmin xmax + 50 0.000000e+00 3.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.240984e+03 0.000000e+00 # sum value*weight + 9.998170e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 7.723915e-02 0.000000e+00 # bin 1 / 50 + 1.537059e+01 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "136_PT" + # nbins xmin xmax + 50 0.000000e+00 3.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.338497e+03 0.000000e+00 # sum value*weight + 1.626351e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 5.514875e+00 0.000000e+00 # bin 1 / 50 + 6.472641e+00 0.000000e+00 # bin 2 / 50 + 2.595235e+00 0.000000e+00 + 6.024654e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "137_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 2.946472e+01 0.000000e+00 # sum value*weight + 6.323703e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 1.390305e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 6.642567e-01 0.000000e+00 + 1.421200e+00 0.000000e+00 + 1.421200e+00 0.000000e+00 + 1.637470e+00 0.000000e+00 + 1.560231e+00 0.000000e+00 + 1.591126e+00 0.000000e+00 + 1.683813e+00 0.000000e+00 + 1.112244e+00 0.000000e+00 + 9.423176e-01 0.000000e+00 + 1.035005e+00 0.000000e+00 + 8.805263e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 2.780609e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "138_DPHI_0_PI" + # nbins xmin xmax + 32 0.000000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 2.404774e+01 0.000000e+00 # sum value*weight + 4.754578e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.935088e-01 0.000000e+00 # bin 1 / 32 + 3.861957e-01 0.000000e+00 # bin 2 / 32 + 3.553001e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 7.878393e-01 0.000000e+00 + 6.797045e-01 0.000000e+00 + 7.878393e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 7.723915e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 5.406740e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 6.488089e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 # bin 31 / 32 + 2.008218e-01 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "139_DPHI_0_2PI" + # nbins xmin xmax + 32 0.000000e+00 6.400000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 4.668937e+01 0.000000e+00 # sum value*weight + 1.898073e+02 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 4.170914e-01 0.000000e+00 # bin 1 / 32 + 4.788827e-01 0.000000e+00 # bin 2 / 32 + 3.244044e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 6.951523e-01 0.000000e+00 + 7.106002e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 8.496306e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 3.398523e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 4.325392e-01 0.000000e+00 + 4.479871e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 5.252262e-01 0.000000e+00 + 8.496306e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 # bin 31 / 32 + 1.081348e-01 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "140_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "141_DPHI_0_PI" + # nbins xmin xmax + 32 0.000000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "142_DPHI_0_2PI" + # nbins xmin xmax + 32 0.000000e+00 6.400000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "143_M" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "144_PT" + # nbins xmin xmax + 50 0.000000e+00 1.500000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "145_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "146_DPHI_0_PI" + # nbins xmin xmax + 32 0.000000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "147_DPHI_0_2PI" + # nbins xmin xmax + 32 0.000000e+00 6.400000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "148_M" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "149_PT" + # nbins xmin xmax + 50 0.000000e+00 1.500000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "150_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "151_DPHI_0_PI" + # nbins xmin xmax + 32 0.000000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "152_DPHI_0_2PI" + # nbins xmin xmax + 32 0.000000e+00 6.400000e+00 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 32 + 0.000000e+00 0.000000e+00 # bin 2 / 32 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 31 / 32 + 0.000000e+00 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "153_M" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "154_PT" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "155_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 5.892945e+01 0.000000e+00 # sum value*weight + 1.264741e+02 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 2.780609e-01 0.000000e+00 + 7.106002e-01 0.000000e+00 + 1.328513e+00 0.000000e+00 + 2.842401e+00 0.000000e+00 + 2.842401e+00 0.000000e+00 + 3.274940e+00 0.000000e+00 + 3.120462e+00 0.000000e+00 + 3.182253e+00 0.000000e+00 + 3.367627e+00 0.000000e+00 + 2.224487e+00 0.000000e+00 + 1.884635e+00 0.000000e+00 + 2.070009e+00 0.000000e+00 + 1.761053e+00 0.000000e+00 + 1.204931e+00 0.000000e+00 + 5.561219e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 0.000000e+00 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "156_DPHI_0_PI" + # nbins xmin xmax + 32 0.000000e+00 3.200000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 4.809548e+01 0.000000e+00 # sum value*weight + 9.509156e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 5.870175e-01 0.000000e+00 # bin 1 / 32 + 7.723915e-01 0.000000e+00 # bin 2 / 32 + 7.106002e-01 0.000000e+00 + 6.488089e-01 0.000000e+00 + 8.032872e-01 0.000000e+00 + 7.414958e-01 0.000000e+00 + 8.650785e-01 0.000000e+00 + 9.268698e-01 0.000000e+00 + 1.204931e+00 0.000000e+00 + 1.143139e+00 0.000000e+00 + 1.575679e+00 0.000000e+00 + 1.359409e+00 0.000000e+00 + 1.575679e+00 0.000000e+00 + 8.341828e-01 0.000000e+00 + 1.204931e+00 0.000000e+00 + 1.544783e+00 0.000000e+00 + 1.143139e+00 0.000000e+00 + 1.081348e+00 0.000000e+00 + 1.112244e+00 0.000000e+00 + 1.174035e+00 0.000000e+00 + 1.297618e+00 0.000000e+00 + 1.143139e+00 0.000000e+00 + 9.886611e-01 0.000000e+00 + 8.650785e-01 0.000000e+00 + 7.106002e-01 0.000000e+00 + 7.723915e-01 0.000000e+00 + 9.577655e-01 0.000000e+00 + 8.959741e-01 0.000000e+00 + 6.797045e-01 0.000000e+00 + 7.106002e-01 0.000000e+00 + 4.634349e-01 0.000000e+00 # bin 31 / 32 + 4.016436e-01 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "157_DPHI_0_2PI" + # nbins xmin xmax + 32 0.000000e+00 6.400000e+00 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 9.706158e+01 0.000000e+00 # sum value*weight + 4.027546e+02 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 6.797045e-01 0.000000e+00 # bin 1 / 32 + 6.797045e-01 0.000000e+00 # bin 2 / 32 + 7.723915e-01 0.000000e+00 + 8.959741e-01 0.000000e+00 + 1.174035e+00 0.000000e+00 + 1.467544e+00 0.000000e+00 + 1.204931e+00 0.000000e+00 + 1.374857e+00 0.000000e+00 + 1.112244e+00 0.000000e+00 + 1.143139e+00 0.000000e+00 + 1.220379e+00 0.000000e+00 + 9.268698e-01 0.000000e+00 + 7.414958e-01 0.000000e+00 + 9.268698e-01 0.000000e+00 + 6.951523e-01 0.000000e+00 + 6.488089e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 8.805263e-01 0.000000e+00 + 8.032872e-01 0.000000e+00 + 8.650785e-01 0.000000e+00 + 1.065900e+00 0.000000e+00 + 1.189483e+00 0.000000e+00 + 1.112244e+00 0.000000e+00 + 1.390305e+00 0.000000e+00 + 1.004109e+00 0.000000e+00 + 1.436648e+00 0.000000e+00 + 1.359409e+00 0.000000e+00 + 1.019557e+00 0.000000e+00 + 8.341828e-01 0.000000e+00 + 7.260480e-01 0.000000e+00 + 7.260480e-01 0.000000e+00 # bin 31 / 32 + 2.317174e-01 0.000000e+00 # bin 32 / 32 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "158_M" + # nbins xmin xmax + 50 0.000000e+00 3.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.240984e+03 0.000000e+00 # sum value*weight + 9.998170e+04 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 7.723915e-02 0.000000e+00 # bin 1 / 50 + 1.537059e+01 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "159_PT" + # nbins xmin xmax + 50 0.000000e+00 3.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.338497e+03 0.000000e+00 # sum value*weight + 1.626351e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 5.514875e+00 0.000000e+00 # bin 1 / 50 + 6.472641e+00 0.000000e+00 # bin 2 / 50 + 2.595235e+00 0.000000e+00 + 6.024654e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "160_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "161_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 1012 0 # nentries + 1.563320e+01 0.000000e+00 # sum of event-weights over entries + 2.414991e-01 0.000000e+00 # sum weights^2 + 3.608304e+01 0.000000e+00 # sum value*weight + 9.529575e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 7.723915e-02 0.000000e+00 # bin 1 / 50 + 1.081348e-01 0.000000e+00 # bin 2 / 50 + 3.398523e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 5.715697e-01 0.000000e+00 + 6.797045e-01 0.000000e+00 + 9.268698e-01 0.000000e+00 + 8.959741e-01 0.000000e+00 + 9.732133e-01 0.000000e+00 + 1.127692e+00 0.000000e+00 + 9.423176e-01 0.000000e+00 + 1.452096e+00 0.000000e+00 + 1.297618e+00 0.000000e+00 + 1.992770e+00 0.000000e+00 + 1.251274e+00 0.000000e+00 + 7.569437e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 3.089566e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "162_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 988 0 # nentries + 1.526246e+01 0.000000e+00 # sum of event-weights over entries + 2.357718e-01 0.000000e+00 # sum weights^2 + 3.449258e+01 0.000000e+00 # sum value*weight + 8.992396e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 6.179132e-02 0.000000e+00 # bin 1 / 50 + 2.008218e-01 0.000000e+00 # bin 2 / 50 + 2.626131e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 8.187350e-01 0.000000e+00 + 8.959741e-01 0.000000e+00 + 1.127692e+00 0.000000e+00 + 8.187350e-01 0.000000e+00 + 1.143139e+00 0.000000e+00 + 1.204931e+00 0.000000e+00 + 1.220379e+00 0.000000e+00 + 1.374857e+00 0.000000e+00 + 1.390305e+00 0.000000e+00 + 1.204931e+00 0.000000e+00 + 7.106002e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "163_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 6.973088e+01 0.000000e+00 # sum value*weight + 1.780816e+02 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 4.634349e-01 0.000000e+00 + 7.878393e-01 0.000000e+00 + 1.065900e+00 0.000000e+00 + 1.560231e+00 0.000000e+00 + 1.374857e+00 0.000000e+00 + 1.992770e+00 0.000000e+00 + 2.178144e+00 0.000000e+00 + 2.270831e+00 0.000000e+00 + 2.301727e+00 0.000000e+00 + 2.595235e+00 0.000000e+00 + 2.657027e+00 0.000000e+00 + 2.626131e+00 0.000000e+00 + 2.965983e+00 0.000000e+00 + 2.657027e+00 0.000000e+00 + 1.421200e+00 0.000000e+00 + 7.723915e-01 0.000000e+00 + 5.870175e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 7.723915e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "164_M" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "165_M" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 1012 0 # nentries + 1.563320e+01 0.000000e+00 # sum of event-weights over entries + 2.414991e-01 0.000000e+00 # sum weights^2 + 1.657189e+03 0.000000e+00 # sum value*weight + 2.609509e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.070009e+00 0.000000e+00 # bin 1 / 50 + 4.881514e+00 0.000000e+00 # bin 2 / 50 + 3.861957e+00 0.000000e+00 + 2.239935e+00 0.000000e+00 + 1.004109e+00 0.000000e+00 + 6.179132e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 2.471653e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 3.089566e-02 0.000000e+00 + 6.179132e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "166_M" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 988 0 # nentries + 1.526246e+01 0.000000e+00 # sum of event-weights over entries + 2.357718e-01 0.000000e+00 # sum weights^2 + 1.556602e+03 0.000000e+00 # sum value*weight + 2.257558e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 2.131801e+00 0.000000e+00 # bin 1 / 50 + 4.649797e+00 0.000000e+00 # bin 2 / 50 + 3.800166e+00 0.000000e+00 + 2.224487e+00 0.000000e+00 + 1.204931e+00 0.000000e+00 + 5.561219e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "167_M" + # nbins xmin xmax + 50 0.000000e+00 3.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 3.712194e+03 0.000000e+00 # sum value*weight + 5.683734e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 3.599344e+00 0.000000e+00 # bin 1 / 50 + 1.447462e+01 0.000000e+00 # bin 2 / 50 + 9.222354e+00 0.000000e+00 + 2.054561e+00 0.000000e+00 + 8.341828e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 1.853740e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "168_PT" + # nbins xmin xmax + 50 0.000000e+00 1.500000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "169_PT" + # nbins xmin xmax + 50 0.000000e+00 3.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 2000 0 # nentries + 3.089566e+01 0.000000e+00 # sum of event-weights over entries + 4.772709e-01 0.000000e+00 # sum weights^2 + 2.499253e+03 0.000000e+00 # sum value*weight + 2.685261e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.093706e+01 0.000000e+00 # bin 1 / 50 + 1.515432e+01 0.000000e+00 # bin 2 / 50 + 3.815614e+00 0.000000e+00 + 6.488089e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "170_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "171_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 1.833704e+01 0.000000e+00 # sum value*weight + 4.870302e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 3.089566e-02 0.000000e+00 # bin 1 / 50 + 3.089566e-02 0.000000e+00 # bin 2 / 50 + 1.699261e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 2.162696e-01 0.000000e+00 + 3.553001e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 5.406740e-01 0.000000e+00 + 5.406740e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 6.642567e-01 0.000000e+00 + 1.096796e+00 0.000000e+00 + 6.797045e-01 0.000000e+00 + 5.097784e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 6.179132e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "172_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 1.773561e+01 0.000000e+00 # sum value*weight + 4.646131e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 1.544783e-02 0.000000e+00 # bin 1 / 50 + 9.268698e-02 0.000000e+00 # bin 2 / 50 + 1.390305e-01 0.000000e+00 + 2.008218e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 2.626131e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 5.406740e-01 0.000000e+00 + 4.170914e-01 0.000000e+00 + 5.561219e-01 0.000000e+00 + 6.179132e-01 0.000000e+00 + 6.488089e-01 0.000000e+00 + 7.414958e-01 0.000000e+00 + 9.577655e-01 0.000000e+00 + 6.797045e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 1.081348e-01 0.000000e+00 + 7.723915e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "173_DELTAR" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+01 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 3.491326e+01 0.000000e+00 # sum value*weight + 8.874266e+01 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 1.853740e-01 0.000000e+00 + 3.707479e-01 0.000000e+00 + 6.024654e-01 0.000000e+00 + 8.496306e-01 0.000000e+00 + 4.943306e-01 0.000000e+00 + 9.732133e-01 0.000000e+00 + 1.158587e+00 0.000000e+00 + 1.050452e+00 0.000000e+00 + 1.266722e+00 0.000000e+00 + 1.251274e+00 0.000000e+00 + 1.467544e+00 0.000000e+00 + 1.235826e+00 0.000000e+00 + 1.544783e+00 0.000000e+00 + 1.436648e+00 0.000000e+00 + 7.260480e-01 0.000000e+00 + 3.861957e-01 0.000000e+00 + 2.317174e-01 0.000000e+00 + 9.268698e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "174_M" + # nbins xmin xmax + 50 0.000000e+00 1.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "175_M" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 506 0 # nevents + 7.816602e+00 0.000000e+00 # sum of event-weights over events + 506 0 # nentries + 7.816602e+00 0.000000e+00 # sum of event-weights over entries + 1.207495e-01 0.000000e+00 # sum weights^2 + 9.675606e+02 0.000000e+00 # sum value*weight + 1.722430e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 7.106002e-01 0.000000e+00 # bin 1 / 50 + 2.008218e+00 0.000000e+00 # bin 2 / 50 + 1.946427e+00 0.000000e+00 + 1.313066e+00 0.000000e+00 + 6.333610e-01 0.000000e+00 + 4.788827e-01 0.000000e+00 + 3.244044e-01 0.000000e+00 + 1.699261e-01 0.000000e+00 + 1.235826e-01 0.000000e+00 + 1.544783e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "176_M" + # nbins xmin xmax + 50 0.000000e+00 2.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 494 0 # nevents + 7.631228e+00 0.000000e+00 # sum of event-weights over events + 494 0 # nentries + 7.631228e+00 0.000000e+00 # sum of event-weights over entries + 1.178859e-01 0.000000e+00 # sum weights^2 + 9.003978e+02 0.000000e+00 # sum value*weight + 1.443803e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 6.951523e-01 0.000000e+00 # bin 1 / 50 + 1.853740e+00 0.000000e+00 # bin 2 / 50 + 1.961874e+00 0.000000e+00 + 1.452096e+00 0.000000e+00 + 7.260480e-01 0.000000e+00 + 4.016436e-01 0.000000e+00 + 3.089566e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "177_M" + # nbins xmin xmax + 50 0.000000e+00 3.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 2.119639e+03 0.000000e+00 # sum value*weight + 3.600863e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 8.650785e-01 0.000000e+00 # bin 1 / 50 + 5.808384e+00 0.000000e+00 # bin 2 / 50 + 6.225475e+00 0.000000e+00 + 1.482992e+00 0.000000e+00 + 5.406740e-01 0.000000e+00 + 2.935088e-01 0.000000e+00 + 1.390305e-01 0.000000e+00 + 3.089566e-02 0.000000e+00 + 4.634349e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 1.544783e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "178_PT" + # nbins xmin xmax + 50 0.000000e+00 1.500000e+03 + # Defined regions + myregion # Region nr. 1 + + + 0 0 # nevents + 0.000000e+00 0.000000e+00 # sum of event-weights over events + 0 0 # nentries + 0.000000e+00 0.000000e+00 # sum of event-weights over entries + 0.000000e+00 0.000000e+00 # sum weights^2 + 0.000000e+00 0.000000e+00 # sum value*weight + 0.000000e+00 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 0.000000e+00 0.000000e+00 # bin 1 / 50 + 0.000000e+00 0.000000e+00 # bin 2 / 50 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + + "179_PT" + # nbins xmin xmax + 50 0.000000e+00 3.000000e+03 + # Defined regions + myregion # Region nr. 1 + + + 1000 0 # nevents + 1.544783e+01 0.000000e+00 # sum of event-weights over events + 1000 0 # nentries + 1.544783e+01 0.000000e+00 # sum of event-weights over entries + 2.386354e-01 0.000000e+00 # sum weights^2 + 1.345579e+03 0.000000e+00 # sum value*weight + 1.570812e+05 0.000000e+00 # sum value^2*weight + + + 0.000000e+00 0.000000e+00 # underflow + 5.082336e+00 0.000000e+00 # bin 1 / 50 + 7.291376e+00 0.000000e+00 # bin 2 / 50 + 2.348070e+00 0.000000e+00 + 4.943306e-01 0.000000e+00 + 1.544783e-01 0.000000e+00 + 4.634349e-02 0.000000e+00 + 3.089566e-02 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 + 0.000000e+00 0.000000e+00 # bin 49 / 50 + 0.000000e+00 0.000000e+00 # bin 50 / 50 + 0.000000e+00 0.000000e+00 # overflow + + + + + diff --git a/validation/outputs/lhe_histos_0/Output/SAF/_testset/MadAnalysis5job_0/MadAnalysis5job.saf b/validation/outputs/lhe_histos_0/Output/SAF/_testset/MadAnalysis5job_0/MadAnalysis5job.saf new file mode 100644 index 00000000..0ccdda29 --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/SAF/_testset/MadAnalysis5job_0/MadAnalysis5job.saf @@ -0,0 +1,9 @@ + + + + + "myregion" + + + + diff --git a/validation/outputs/lhe_histos_0/Output/SAF/_testset/_testset.saf b/validation/outputs/lhe_histos_0/Output/SAF/_testset/_testset.saf new file mode 100644 index 00000000..1e98112f --- /dev/null +++ b/validation/outputs/lhe_histos_0/Output/SAF/_testset/_testset.saf @@ -0,0 +1,19 @@ + + + + +# xsection xsection_error nevents sum_weight+ sum_weight- +1.544783e+01 1.139396e-01 1000 1.544783e+01 0.000000e+00 + + + +"/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/samples/ttbar_sl_1.lhe.gz" # file 1 / 1 + + + +# xsection xsection_error nevents sum_weight+ sum_weight- +1.544783e+01 1.139396e-01 1000 1.544783e+01 0.000000e+00 # file 1 / 1 + + + + diff --git a/validation/outputs/lhe_histos_0/history.ma5 b/validation/outputs/lhe_histos_0/history.ma5 new file mode 100644 index 00000000..971429b5 --- /dev/null +++ b/validation/outputs/lhe_histos_0/history.ma5 @@ -0,0 +1,211 @@ +set main.currentdir = /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5 + + +import samples/ttbar_sl_1.lhe.gz as testset +set main.normalize = none +set main.lumi = 1.0 +define e = e+ e- +define mu = mu+ mu- + + + +plot SQRTS 50 0 5000 +plot SCALE 50 0 2000 +plot ALPHA_QCD 50 0 0.3 +plot ALPHA_QED 50 0 0.02 +plot TET 50 0 5000 +plot THT 50 0 5000 +plot MET 50 0 1500 +plot MHT 50 0 1500 +plot NPID +plot NAPID +plot WEIGHTS + + + +plot PT(e) 50 0 1000 [PTordering] +plot ETA(e) 50 -8 8 +plot ABSETA(e) 50 0 8 +plot PHI(e) 32 -3.2 3.2 +plot E(e) 50 0 2000 +plot ET(e) 50 0 2000 +plot M(e) 50 0 20 +plot MT(e) 50 0 1000 +plot MT_MET(e) 50 0 1000 +plot P(e) 50 0 2000 +plot PX(e) 50 -1000 1000 +plot PY(e) 50 -1000 1000 +plot PZ(e) 50 -2000 2000 +plot R(e) 50 0 10 +plot Y(e) 50 -8 8 +plot BETA(e) 50 0 1.2 +plot GAMMA(e) 50 1 100 + +plot PT(e[1]) 50 0 1000 [PTordering] +plot ETA(e[1]) 50 -8 8 [PTordering] +plot PHI(e[1]) 32 -3.2 3.2 [PTordering] +plot E(e[1]) 50 0 2000 [PTordering] +plot MT_MET(e[1]) 50 0 1000 [PTordering] +plot PT(e[2]) 50 0 1000 [PTordering] +plot ETA(e[2]) 50 -8 8 [PTordering] +plot PHI(e[2]) 32 -3.2 3.2 [PTordering] +plot E(e[2]) 50 0 2000 [PTordering] +plot MT_MET(e[2]) 50 0 1000 [PTordering] +plot M(e[1] e[2]) 50 0 1000 [PTordering] +plot PT(e[1] e[2]) 50 0 1500 [PTordering] +plot DELTAR(e[1],e[2]) 50 0 10 [PTordering] +plot DPHI_0_PI(e[1],e[2]) 32 0 3.2 [PTordering] +plot DPHI_0_2PI(e[1],e[2]) 32 0 6.4 [PTordering] + + + +plot PT(mu) 50 0 1000 [PTordering] +plot ETA(mu) 50 -8 8 +plot ABSETA(mu) 50 0 8 +plot PHI(mu) 32 -3.2 3.2 +plot E(mu) 50 0 2000 +plot ET(mu) 50 0 2000 +plot M(mu) 50 0 20 +plot MT(mu) 50 0 1000 +plot MT_MET(mu) 50 0 1000 +plot P(mu) 50 0 2000 +plot PX(mu) 50 -1000 1000 +plot PY(mu) 50 -1000 1000 +plot PZ(mu) 50 -2000 2000 +plot R(mu) 50 0 10 +plot Y(mu) 50 -8 8 +plot BETA(mu) 50 0 1.2 +plot GAMMA(mu) 50 1 100 + +plot PT(mu[1]) 50 0 1000 [PTordering] +plot ETA(mu[1]) 50 -8 8 [PTordering] +plot PHI(mu[1]) 32 -3.2 3.2 [PTordering] +plot E(mu[1]) 50 0 2000 [PTordering] +plot MT_MET(mu[1]) 50 0 1000 [PTordering] +plot PT(mu[2]) 50 0 1000 [PTordering] +plot ETA(mu[2]) 50 -8 8 [PTordering] +plot PHI(mu[2]) 32 -3.2 3.2 [PTordering] +plot E(mu[2]) 50 0 2000 [PTordering] +plot MT_MET(mu[2]) 50 0 1000 [PTordering] +plot M(mu[1] mu[2]) 50 0 1000 [PTordering] +plot PT(mu[1] mu[2]) 50 0 1500 [PTordering] +plot DELTAR(mu[1],mu[2]) 50 0 10 [PTordering] +plot DPHI_0_PI(mu[1],mu[2]) 32 0 3.2 [PTordering] +plot DPHI_0_2PI(mu[1],mu[2]) 32 0 6.4 [PTordering] + + + +plot PT(b) 50 0 1000 [PTordering] +plot ETA(b) 50 -8 8 +plot ABSETA(b) 50 0 8 +plot PHI(b) 32 -3.2 3.2 +plot E(b) 50 0 2000 +plot ET(b) 50 0 2000 +plot M(b) 50 0 50 +plot MT(b) 50 0 1000 +plot MT_MET(b) 50 0 1000 +plot P(b) 50 0 2000 +plot PX(b) 50 -1000 1000 +plot PY(b) 50 -1000 1000 +plot PZ(b) 50 -2000 2000 +plot R(b) 50 0 10 +plot Y(b) 50 -8 8 +plot BETA(b) 50 0 1.2 +plot GAMMA(b) 50 1 100 + +plot PT(b[1]) 50 0 1000 [PTordering] +plot ETA(b[1]) 50 -8 8 [PTordering] +plot PHI(b[1]) 32 -3.2 3.2 [PTordering] +plot E(b[1]) 50 0 2000 [PTordering] +plot MT_MET(b[1]) 50 0 1000 [PTordering] +plot PT(b[2]) 50 0 1000 [PTordering] +plot ETA(b[2]) 50 -8 8 [PTordering] +plot PHI(b[2]) 32 -3.2 3.2 [PTordering] +plot E(b[2]) 50 0 2000 [PTordering] +plot MT_MET(b[2]) 50 0 1000 [PTordering] +plot M(b[1] b[2]) 50 0 2000 [PTordering] +plot PT(b[1] b[2]) 50 0 2000 [PTordering] +plot DELTAR(b[1],b[2]) 50 0 10 [PTordering] +plot DPHI_0_PI(b[1],b[2]) 32 0 3.2 [PTordering] +plot DPHI_0_2PI(b[1],b[2]) 32 0 6.4 [PTordering] + + + +plot PT(j) 50 0 1000 [PTordering] +plot ETA(j) 50 -8 8 +plot ABSETA(j) 50 0 8 +plot PHI(j) 32 -3.2 3.2 +plot E(j) 50 0 2000 +plot ET(j) 50 0 2000 +plot M(j) 50 0 200 +plot MT(j) 50 0 1000 +plot MT_MET(j) 50 0 1000 +plot P(j) 50 0 2000 +plot PX(j) 50 -1000 1000 +plot PY(j) 50 -1000 1000 +plot PZ(j) 50 -2000 2000 +plot R(j) 50 0 10 +plot Y(j) 50 -8 8 +plot BETA(j) 50 0 1.2 +plot GAMMA(j) 50 1 100 + +plot PT(j[1]) 50 0 1000 [PTordering] +plot ETA(j[1]) 50 -8 8 [PTordering] +plot PHI(j[1]) 32 -3.2 3.2 [PTordering] +plot E(j[1]) 50 0 2000 [PTordering] +plot MT_MET(j[1]) 50 0 1000 [PTordering] +plot PT(j[2]) 50 0 1000 [PTordering] +plot ETA(j[2]) 50 -8 8 [PTordering] +plot PHI(j[2]) 32 -3.2 3.2 [PTordering] +plot E(j[2]) 50 0 2000 [PTordering] +plot MT_MET(j[2]) 50 0 1000 [PTordering] +plot M(j[1] j[2]) 50 0 3000 [PTordering] +plot PT(j[1] j[2]) 50 0 3000 [PTordering] +plot DELTAR(j[1],j[2]) 50 0 10 [PTordering] +plot DPHI_0_PI(j[1],j[2]) 32 0 3.2 [PTordering] +plot DPHI_0_2PI(j[1],j[2]) 32 0 6.4 [PTordering] + + + +plot DELTAR(e,e) 50 0 10 +plot DPHI_0_PI(e,e) 32 0 3.2 +plot DPHI_0_2PI(e,e) 32 0 6.4 +plot M(e e) 50 0 1000 +plot PT(e e) 50 0 1500 +plot DELTAR(mu,mu) 50 0 10 +plot DPHI_0_PI(mu,mu) 32 0 3.2 +plot DPHI_0_2PI(mu,mu) 32 0 6.4 +plot M(mu mu) 50 0 1000 +plot PT(mu mu) 50 0 1500 +plot DELTAR(b,b) 50 0 10 +plot DPHI_0_PI(b,b) 32 0 3.2 +plot DPHI_0_2PI(b,b) 32 0 6.4 +plot M(b b) 50 0 2000 +plot PT(b b) 50 0 2000 +plot DELTAR(j,j) 50 0 10 +plot DPHI_0_PI(j,j) 32 0 3.2 +plot DPHI_0_2PI(j,j) 32 0 6.4 +plot M(j j) 50 0 3000 +plot PT(j j) 50 0 3000 + +plot DELTAR(e,mu) 50 0 10 +plot DELTAR(e,j) 50 0 10 +plot DELTAR(mu,j) 50 0 10 +plot DELTAR(b,j) 50 0 10 +plot M(e mu) 50 0 1000 +plot M(e j) 50 0 2000 +plot M(mu j) 50 0 2000 +plot M(b j) 50 0 3000 +plot PT(e mu) 50 0 1500 +plot PT(b j) 50 0 3000 + +plot DELTAR(e[1],mu[1]) 50 0 10 [PTordering] +plot DELTAR(e[1],j[1]) 50 0 10 [PTordering] +plot DELTAR(mu[1],j[1]) 50 0 10 [PTordering] +plot DELTAR(b[1],j[1]) 50 0 10 [PTordering] +plot M(e[1] mu[1]) 50 0 1000 [PTordering] +plot M(e[1] j[1]) 50 0 2000 [PTordering] +plot M(mu[1] j[1]) 50 0 2000 [PTordering] +plot M(b[1] j[1]) 50 0 3000 [PTordering] +plot PT(e[1] mu[1]) 50 0 1500 [PTordering] +plot PT(b[1] j[1]) 50 0 3000 [PTordering] diff --git a/validation/outputs/lhe_histos_0/layout.ma5 b/validation/outputs/lhe_histos_0/layout.ma5 new file mode 100644 index 00000000..35b70ec7 --- /dev/null +++ b/validation/outputs/lhe_histos_0/layout.ma5 @@ -0,0 +1,1617 @@ +################################################################################ +# MADANALYSIS5 CONFIGURATION FILE FOR PLOTS # +# produced by MadAnalysis5 version 1.11.0 # +# 2025/04/23 # +################################################################################ + +################################################################################ +# Files and Paths # +################################################################################ + + jobdir = /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/ANALYSIS_0 + html = 1 + latex = 1 + pdflatex = 1 + + +################################################################################ +# Global information related to the layout # +################################################################################ +

    + + normalize = "0" + lumi = 1.0 # fb^{-1} + + + stack = 1 + + + fom = "4" + x = "0" + +
    + +################################################################################ +# Definition of datasets # +################################################################################ + + + + background = False + weight = 1.0 + xsection = 0.0 + + + title = testset + linecolor = 0 + linestyle = 0 + lineshade = 0 + linewidth = 1 + backcolor = 0 + backstyle = 1 + backshade = 0 + + + + +################################################################################ +# Definition of regions # +################################################################################ + + + +################################################################################ +# Definition of the selection : histograms and cuts # +################################################################################ + + + stack = 0 + titleX = "#sqrt{#hat{s}} (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 5000.0 + + + stack = 0 + titleX = "event scale Q (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "#alpha_{QCD} " + titleY = "Events " + xmin = 0.0 + xmax = 0.3 + + + stack = 0 + titleX = "#alpha_{QED} " + titleY = "Events " + xmin = 0.0 + xmax = 0.02 + + + stack = 0 + titleX = "E_{T} (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 5000.0 + + + stack = 0 + titleX = "H_{T} (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 5000.0 + + + stack = 0 + titleX = "#slash{E}_{T} (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 1500.0 + + + stack = 0 + titleX = "#slash{H}_{T} (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 1500.0 + + + stack = 0 + titleX = "NPID " + titleY = "N. of particles" + xmin = 0.0 + xmax = 100.0 + + + stack = 0 + titleX = "|NPID| " + titleY = "N. of particles" + xmin = 0.0 + xmax = 100.0 + + + stack = 0 + titleX = "#omega " + titleY = "Events " + xmin = -1.0 + xmax = 1.0 + + + stack = 0 + titleX = "p_{T} [ e ] (GeV/c) " + titleY = "N. of e" + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "#eta [ e ] " + titleY = "N. of e" + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "|#eta| [ e ] " + titleY = "N. of e" + xmin = 0.0 + xmax = 8.0 + + + stack = 0 + titleX = "#phi [ e ] " + titleY = "N. of e" + xmin = -3.2 + xmax = 3.2 + + + stack = 0 + titleX = "E [ e ] (GeV) " + titleY = "N. of e" + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "E_{T} [ e ] (GeV) " + titleY = "N. of e" + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M [ e ] (GeV/c^{2}) " + titleY = "N. of e" + xmin = 0.0 + xmax = 20.0 + + + stack = 0 + titleX = "M_{T} [ e ] (GeV/c^{2}) " + titleY = "N. of e" + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "M_{T} [ e ] (GeV/c^{2}) " + titleY = "N. of e" + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p [ e ] (GeV/c) " + titleY = "N. of e" + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "p_{x} [ e ] (GeV/c) " + titleY = "N. of e" + xmin = -1000.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{y} [ e ] (GeV/c) " + titleY = "N. of e" + xmin = -1000.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{z} [ e ] (GeV/c) " + titleY = "N. of e" + xmin = -2000.0 + xmax = 2000.0 + + + stack = 0 + titleX = "R [ e ] " + titleY = "N. of e" + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "y [ e ] " + titleY = "N. of e" + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "#beta [ e ] " + titleY = "N. of e" + xmin = 0.0 + xmax = 1.2 + + + stack = 0 + titleX = "#gamma [ e ] " + titleY = "N. of e" + xmin = 1.0 + xmax = 100.0 + + + stack = 0 + titleX = "p_{T} [ e_{1} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "#eta [ e_{1} ] " + titleY = "Events " + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "#phi [ e_{1} ] " + titleY = "Events " + xmin = -3.2 + xmax = 3.2 + + + stack = 0 + titleX = "E [ e_{1} ] (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M_{T} [ e_{1} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{T} [ e_{2} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "#eta [ e_{2} ] " + titleY = "Events " + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "#phi [ e_{2} ] " + titleY = "Events " + xmin = -3.2 + xmax = 3.2 + + + stack = 0 + titleX = "E [ e_{2} ] (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M_{T} [ e_{2} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "M [ e_{1} e_{2} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{T} [ e_{1} e_{2} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 1500.0 + + + stack = 0 + titleX = "#DeltaR [ e_{1}, e_{2} ] " + titleY = "Events " + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#Delta#Phi_{0,#pi} [ e_{1}, e_{2} ] " + titleY = "Events " + xmin = 0.0 + xmax = 3.2 + + + stack = 0 + titleX = "#Delta#Phi_{0,2#pi} [ e_{1}, e_{2} ] " + titleY = "Events " + xmin = 0.0 + xmax = 6.4 + + + stack = 0 + titleX = "p_{T} [ mu ] (GeV/c) " + titleY = "N. of mu" + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "#eta [ mu ] " + titleY = "N. of mu" + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "|#eta| [ mu ] " + titleY = "N. of mu" + xmin = 0.0 + xmax = 8.0 + + + stack = 0 + titleX = "#phi [ mu ] " + titleY = "N. of mu" + xmin = -3.2 + xmax = 3.2 + + + stack = 0 + titleX = "E [ mu ] (GeV) " + titleY = "N. of mu" + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "E_{T} [ mu ] (GeV) " + titleY = "N. of mu" + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M [ mu ] (GeV/c^{2}) " + titleY = "N. of mu" + xmin = 0.0 + xmax = 20.0 + + + stack = 0 + titleX = "M_{T} [ mu ] (GeV/c^{2}) " + titleY = "N. of mu" + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "M_{T} [ mu ] (GeV/c^{2}) " + titleY = "N. of mu" + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p [ mu ] (GeV/c) " + titleY = "N. of mu" + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "p_{x} [ mu ] (GeV/c) " + titleY = "N. of mu" + xmin = -1000.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{y} [ mu ] (GeV/c) " + titleY = "N. of mu" + xmin = -1000.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{z} [ mu ] (GeV/c) " + titleY = "N. of mu" + xmin = -2000.0 + xmax = 2000.0 + + + stack = 0 + titleX = "R [ mu ] " + titleY = "N. of mu" + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "y [ mu ] " + titleY = "N. of mu" + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "#beta [ mu ] " + titleY = "N. of mu" + xmin = 0.0 + xmax = 1.2 + + + stack = 0 + titleX = "#gamma [ mu ] " + titleY = "N. of mu" + xmin = 1.0 + xmax = 100.0 + + + stack = 0 + titleX = "p_{T} [ mu_{1} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "#eta [ mu_{1} ] " + titleY = "Events " + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "#phi [ mu_{1} ] " + titleY = "Events " + xmin = -3.2 + xmax = 3.2 + + + stack = 0 + titleX = "E [ mu_{1} ] (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M_{T} [ mu_{1} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{T} [ mu_{2} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "#eta [ mu_{2} ] " + titleY = "Events " + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "#phi [ mu_{2} ] " + titleY = "Events " + xmin = -3.2 + xmax = 3.2 + + + stack = 0 + titleX = "E [ mu_{2} ] (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M_{T} [ mu_{2} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "M [ mu_{1} mu_{2} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{T} [ mu_{1} mu_{2} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 1500.0 + + + stack = 0 + titleX = "#DeltaR [ mu_{1}, mu_{2} ] " + titleY = "Events " + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#Delta#Phi_{0,#pi} [ mu_{1}, mu_{2} ] " + titleY = "Events " + xmin = 0.0 + xmax = 3.2 + + + stack = 0 + titleX = "#Delta#Phi_{0,2#pi} [ mu_{1}, mu_{2} ] " + titleY = "Events " + xmin = 0.0 + xmax = 6.4 + + + stack = 0 + titleX = "p_{T} [ b ] (GeV/c) " + titleY = "N. of b" + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "#eta [ b ] " + titleY = "N. of b" + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "|#eta| [ b ] " + titleY = "N. of b" + xmin = 0.0 + xmax = 8.0 + + + stack = 0 + titleX = "#phi [ b ] " + titleY = "N. of b" + xmin = -3.2 + xmax = 3.2 + + + stack = 0 + titleX = "E [ b ] (GeV) " + titleY = "N. of b" + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "E_{T} [ b ] (GeV) " + titleY = "N. of b" + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M [ b ] (GeV/c^{2}) " + titleY = "N. of b" + xmin = 0.0 + xmax = 50.0 + + + stack = 0 + titleX = "M_{T} [ b ] (GeV/c^{2}) " + titleY = "N. of b" + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "M_{T} [ b ] (GeV/c^{2}) " + titleY = "N. of b" + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p [ b ] (GeV/c) " + titleY = "N. of b" + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "p_{x} [ b ] (GeV/c) " + titleY = "N. of b" + xmin = -1000.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{y} [ b ] (GeV/c) " + titleY = "N. of b" + xmin = -1000.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{z} [ b ] (GeV/c) " + titleY = "N. of b" + xmin = -2000.0 + xmax = 2000.0 + + + stack = 0 + titleX = "R [ b ] " + titleY = "N. of b" + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "y [ b ] " + titleY = "N. of b" + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "#beta [ b ] " + titleY = "N. of b" + xmin = 0.0 + xmax = 1.2 + + + stack = 0 + titleX = "#gamma [ b ] " + titleY = "N. of b" + xmin = 1.0 + xmax = 100.0 + + + stack = 0 + titleX = "p_{T} [ b_{1} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "#eta [ b_{1} ] " + titleY = "Events " + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "#phi [ b_{1} ] " + titleY = "Events " + xmin = -3.2 + xmax = 3.2 + + + stack = 0 + titleX = "E [ b_{1} ] (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M_{T} [ b_{1} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{T} [ b_{2} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "#eta [ b_{2} ] " + titleY = "Events " + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "#phi [ b_{2} ] " + titleY = "Events " + xmin = -3.2 + xmax = 3.2 + + + stack = 0 + titleX = "E [ b_{2} ] (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M_{T} [ b_{2} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "M [ b_{1} b_{2} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "p_{T} [ b_{1} b_{2} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "#DeltaR [ b_{1}, b_{2} ] " + titleY = "Events " + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#Delta#Phi_{0,#pi} [ b_{1}, b_{2} ] " + titleY = "Events " + xmin = 0.0 + xmax = 3.2 + + + stack = 0 + titleX = "#Delta#Phi_{0,2#pi} [ b_{1}, b_{2} ] " + titleY = "Events " + xmin = 0.0 + xmax = 6.4 + + + stack = 0 + titleX = "p_{T} [ j ] (GeV/c) " + titleY = "N. of j" + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "#eta [ j ] " + titleY = "N. of j" + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "|#eta| [ j ] " + titleY = "N. of j" + xmin = 0.0 + xmax = 8.0 + + + stack = 0 + titleX = "#phi [ j ] " + titleY = "N. of j" + xmin = -3.2 + xmax = 3.2 + + + stack = 0 + titleX = "E [ j ] (GeV) " + titleY = "N. of j" + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "E_{T} [ j ] (GeV) " + titleY = "N. of j" + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M [ j ] (GeV/c^{2}) " + titleY = "N. of j" + xmin = 0.0 + xmax = 200.0 + + + stack = 0 + titleX = "M_{T} [ j ] (GeV/c^{2}) " + titleY = "N. of j" + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "M_{T} [ j ] (GeV/c^{2}) " + titleY = "N. of j" + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p [ j ] (GeV/c) " + titleY = "N. of j" + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "p_{x} [ j ] (GeV/c) " + titleY = "N. of j" + xmin = -1000.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{y} [ j ] (GeV/c) " + titleY = "N. of j" + xmin = -1000.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{z} [ j ] (GeV/c) " + titleY = "N. of j" + xmin = -2000.0 + xmax = 2000.0 + + + stack = 0 + titleX = "R [ j ] " + titleY = "N. of j" + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "y [ j ] " + titleY = "N. of j" + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "#beta [ j ] " + titleY = "N. of j" + xmin = 0.0 + xmax = 1.2 + + + stack = 0 + titleX = "#gamma [ j ] " + titleY = "N. of j" + xmin = 1.0 + xmax = 100.0 + + + stack = 0 + titleX = "p_{T} [ j_{1} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "#eta [ j_{1} ] " + titleY = "Events " + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "#phi [ j_{1} ] " + titleY = "Events " + xmin = -3.2 + xmax = 3.2 + + + stack = 0 + titleX = "E [ j_{1} ] (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M_{T} [ j_{1} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{T} [ j_{2} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "#eta [ j_{2} ] " + titleY = "Events " + xmin = -8.0 + xmax = 8.0 + + + stack = 0 + titleX = "#phi [ j_{2} ] " + titleY = "Events " + xmin = -3.2 + xmax = 3.2 + + + stack = 0 + titleX = "E [ j_{2} ] (GeV) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M_{T} [ j_{2} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "M [ j_{1} j_{2} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 3000.0 + + + stack = 0 + titleX = "p_{T} [ j_{1} j_{2} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 3000.0 + + + stack = 0 + titleX = "#DeltaR [ j_{1}, j_{2} ] " + titleY = "Events " + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#Delta#Phi_{0,#pi} [ j_{1}, j_{2} ] " + titleY = "Events " + xmin = 0.0 + xmax = 3.2 + + + stack = 0 + titleX = "#Delta#Phi_{0,2#pi} [ j_{1}, j_{2} ] " + titleY = "Events " + xmin = 0.0 + xmax = 6.4 + + + stack = 0 + titleX = "#DeltaR [ e, e ] " + titleY = "N. of (e, e) pairs" + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#Delta#Phi_{0,#pi} [ e, e ] " + titleY = "N. of (e, e) pairs" + xmin = 0.0 + xmax = 3.2 + + + stack = 0 + titleX = "#Delta#Phi_{0,2#pi} [ e, e ] " + titleY = "N. of (e, e) pairs" + xmin = 0.0 + xmax = 6.4 + + + stack = 0 + titleX = "M [ e e ] (GeV/c^{2}) " + titleY = "N. of e e pairs " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{T} [ e e ] (GeV/c) " + titleY = "N. of e e pairs " + xmin = 0.0 + xmax = 1500.0 + + + stack = 0 + titleX = "#DeltaR [ mu, mu ] " + titleY = "N. of (mu, mu) pairs" + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#Delta#Phi_{0,#pi} [ mu, mu ] " + titleY = "N. of (mu, mu) pairs" + xmin = 0.0 + xmax = 3.2 + + + stack = 0 + titleX = "#Delta#Phi_{0,2#pi} [ mu, mu ] " + titleY = "N. of (mu, mu) pairs" + xmin = 0.0 + xmax = 6.4 + + + stack = 0 + titleX = "M [ mu mu ] (GeV/c^{2}) " + titleY = "N. of mu mu pairs " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "p_{T} [ mu mu ] (GeV/c) " + titleY = "N. of mu mu pairs " + xmin = 0.0 + xmax = 1500.0 + + + stack = 0 + titleX = "#DeltaR [ b, b ] " + titleY = "N. of (b, b) pairs" + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#Delta#Phi_{0,#pi} [ b, b ] " + titleY = "N. of (b, b) pairs" + xmin = 0.0 + xmax = 3.2 + + + stack = 0 + titleX = "#Delta#Phi_{0,2#pi} [ b, b ] " + titleY = "N. of (b, b) pairs" + xmin = 0.0 + xmax = 6.4 + + + stack = 0 + titleX = "M [ b b ] (GeV/c^{2}) " + titleY = "N. of b b pairs " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "p_{T} [ b b ] (GeV/c) " + titleY = "N. of b b pairs " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "#DeltaR [ j, j ] " + titleY = "N. of (j, j) pairs" + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#Delta#Phi_{0,#pi} [ j, j ] " + titleY = "N. of (j, j) pairs" + xmin = 0.0 + xmax = 3.2 + + + stack = 0 + titleX = "#Delta#Phi_{0,2#pi} [ j, j ] " + titleY = "N. of (j, j) pairs" + xmin = 0.0 + xmax = 6.4 + + + stack = 0 + titleX = "M [ j j ] (GeV/c^{2}) " + titleY = "N. of j j pairs " + xmin = 0.0 + xmax = 3000.0 + + + stack = 0 + titleX = "p_{T} [ j j ] (GeV/c) " + titleY = "N. of j j pairs " + xmin = 0.0 + xmax = 3000.0 + + + stack = 0 + titleX = "#DeltaR [ e, mu ] " + titleY = "N. of (e, mu) pairs" + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#DeltaR [ e, j ] " + titleY = "N. of (e, j) pairs" + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#DeltaR [ mu, j ] " + titleY = "N. of (mu, j) pairs" + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#DeltaR [ b, j ] " + titleY = "N. of (b, j) pairs" + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "M [ e mu ] (GeV/c^{2}) " + titleY = "N. of e mu pairs " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "M [ e j ] (GeV/c^{2}) " + titleY = "N. of e j pairs " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M [ j mu ] (GeV/c^{2}) " + titleY = "N. of j mu pairs " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M [ b j ] (GeV/c^{2}) " + titleY = "N. of b j pairs " + xmin = 0.0 + xmax = 3000.0 + + + stack = 0 + titleX = "p_{T} [ e mu ] (GeV/c) " + titleY = "N. of e mu pairs " + xmin = 0.0 + xmax = 1500.0 + + + stack = 0 + titleX = "p_{T} [ b j ] (GeV/c) " + titleY = "N. of b j pairs " + xmin = 0.0 + xmax = 3000.0 + + + stack = 0 + titleX = "#DeltaR [ e_{1}, mu_{1} ] " + titleY = "Events " + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#DeltaR [ e_{1}, j_{1} ] " + titleY = "Events " + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#DeltaR [ mu_{1}, j_{1} ] " + titleY = "Events " + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "#DeltaR [ b_{1}, j_{1} ] " + titleY = "Events " + xmin = 0.0 + xmax = 10.0 + + + stack = 0 + titleX = "M [ e_{1} mu_{1} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 1000.0 + + + stack = 0 + titleX = "M [ e_{1} j_{1} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M [ j_{1} mu_{1} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 2000.0 + + + stack = 0 + titleX = "M [ b_{1} j_{1} ] (GeV/c^{2}) " + titleY = "Events " + xmin = 0.0 + xmax = 3000.0 + + + stack = 0 + titleX = "p_{T} [ e_{1} mu_{1} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 1500.0 + + + stack = 0 + titleX = "p_{T} [ b_{1} j_{1} ] (GeV/c) " + titleY = "Events " + xmin = 0.0 + xmax = 3000.0 + + + +################################################################################ +# Definition of the multiparticles used # +################################################################################ + + + 22 + + + 5 + + + 1000005 + + + -1000005 + + + 2000005 + + + -2000005 + + + -5 + + + 4 + + + 1000004 + + + -1000004 + + + 2000004 + + + -2000004 + + + -4 + + + 1 + + + 1000001 + + + -1000001 + + + 2000001 + + + -2000001 + + + -1 + + + -11 11 + + + -11 + + + 11 + + + -1000011 + + + 1000011 + + + -2000011 + + + 2000011 + + + 21 + + + 1000021 + + + 37 + + + -37 + + + 25 + + + 35 + + + 36 + + + -5 -4 -3 -2 -1 1 2 3 4 5 21 + + + -16 -14 -12 12 14 16 1000022 + + + -4 -3 -2 -1 1 2 3 4 21 + + + -13 -11 + + + 11 13 + + + 100 + + + 99 + + + -13 13 + + + -13 + + + 13 + + + -1000013 + + + 1000013 + + + -2000013 + + + 2000013 + + + 1000022 + + + 1000023 + + + 1000025 + + + 1000035 + + + -4 -3 -2 -1 1 2 3 4 21 + + + 3 + + + 1000003 + + + -1000003 + + + 2000003 + + + -2000003 + + + 1000012 + + + -1000012 + + + 1000014 + + + -1000014 + + + 1000016 + + + -1000016 + + + -3 + + + 6 + + + 1000006 + + + -1000006 + + + 2000006 + + + -2000006 + + + -15 + + + 15 + + + -1000015 + + + 1000015 + + + -2000015 + + + 2000015 + + + -6 + + + 2 + + + 1000002 + + + -1000002 + + + 2000002 + + + -2000002 + + + -2 + + + 12 + + + -12 + + + 12 14 16 + + + -16 -14 -12 + + + 14 + + + -14 + + + 16 + + + -16 + + + 24 + + + -24 + + + 1000024 + + + -1000024 + + + 1000037 + + + -1000037 + + + 23 + + diff --git a/validation/requirements.txt b/validation/requirements.txt deleted file mode 100644 index b13b9a11..00000000 --- a/validation/requirements.txt +++ /dev/null @@ -1,4 +0,0 @@ -numpy>=1.19.5 -scipy>=1.7.1 -matplotlib>=3.4.2 -pyhf>=0.6.3 diff --git a/validation/scripts/lhe_histos_0.ma5 b/validation/scripts/lhe_histos_0.ma5 new file mode 100644 index 00000000..1efe036c --- /dev/null +++ b/validation/scripts/lhe_histos_0.ma5 @@ -0,0 +1,229 @@ +#TITLE Histogram-only regression tests in parton level +#MODE PARTON + +import samples/ttbar_sl_1.lhe.gz as testset + +set main.normalize = none +set main.lumi = 1.0 + +define e = e+ e- +define mu = mu+ mu- +# ------------------------------------------------------------------ +# Event-level histograms +# ------------------------------------------------------------------ +plot SQRTS 50 0 5000 +plot SCALE 50 0 2000 +plot ALPHA_QCD 50 0 0.3 +plot ALPHA_QED 50 0 0.02 +plot TET 50 0 5000 +plot THT 50 0 5000 +plot MET 50 0 1500 +plot MHT 50 0 1500 +plot NPID +plot NAPID +plot WEIGHTS + +# ------------------------------------------------------------------ +# Inclusive electron histograms +# ------------------------------------------------------------------ +plot PT(e) 50 0 1000 [PTordering] +plot ETA(e) 50 -8 8 +plot ABSETA(e) 50 0 8 +plot PHI(e) 32 -3.2 3.2 +plot E(e) 50 0 2000 +plot ET(e) 50 0 2000 +plot M(e) 50 0 20 +plot MT(e) 50 0 1000 +plot MT_MET(e) 50 0 1000 +plot P(e) 50 0 2000 +plot PX(e) 50 -1000 1000 +plot PY(e) 50 -1000 1000 +plot PZ(e) 50 -2000 2000 +plot R(e) 50 0 10 +plot Y(e) 50 -8 8 +plot BETA(e) 50 0 1.2 +plot GAMMA(e) 50 1 100 + +# Leading/subleading electrons +plot PT(e[1]) 50 0 1000 [PTordering] +plot ETA(e[1]) 50 -8 8 [PTordering] +plot PHI(e[1]) 32 -3.2 3.2 [PTordering] +plot E(e[1]) 50 0 2000 [PTordering] +plot MT_MET(e[1]) 50 0 1000 [PTordering] +plot PT(e[2]) 50 0 1000 [PTordering] +plot ETA(e[2]) 50 -8 8 [PTordering] +plot PHI(e[2]) 32 -3.2 3.2 [PTordering] +plot E(e[2]) 50 0 2000 [PTordering] +plot MT_MET(e[2]) 50 0 1000 [PTordering] +plot M(e[1] e[2]) 50 0 1000 [PTordering] +plot PT(e[1] e[2]) 50 0 1500 [PTordering] +plot DELTAR(e[1],e[2]) 50 0 10 [PTordering] +plot DPHI_0_PI(e[1],e[2]) 32 0 3.2 [PTordering] +plot DPHI_0_2PI(e[1],e[2]) 32 0 6.4 [PTordering] + +# ------------------------------------------------------------------ +# Inclusive muon histograms +# ------------------------------------------------------------------ +plot PT(mu) 50 0 1000 [PTordering] +plot ETA(mu) 50 -8 8 +plot ABSETA(mu) 50 0 8 +plot PHI(mu) 32 -3.2 3.2 +plot E(mu) 50 0 2000 +plot ET(mu) 50 0 2000 +plot M(mu) 50 0 20 +plot MT(mu) 50 0 1000 +plot MT_MET(mu) 50 0 1000 +plot P(mu) 50 0 2000 +plot PX(mu) 50 -1000 1000 +plot PY(mu) 50 -1000 1000 +plot PZ(mu) 50 -2000 2000 +plot R(mu) 50 0 10 +plot Y(mu) 50 -8 8 +plot BETA(mu) 50 0 1.2 +plot GAMMA(mu) 50 1 100 + +# Leading/subleading muons +plot PT(mu[1]) 50 0 1000 [PTordering] +plot ETA(mu[1]) 50 -8 8 [PTordering] +plot PHI(mu[1]) 32 -3.2 3.2 [PTordering] +plot E(mu[1]) 50 0 2000 [PTordering] +plot MT_MET(mu[1]) 50 0 1000 [PTordering] +plot PT(mu[2]) 50 0 1000 [PTordering] +plot ETA(mu[2]) 50 -8 8 [PTordering] +plot PHI(mu[2]) 32 -3.2 3.2 [PTordering] +plot E(mu[2]) 50 0 2000 [PTordering] +plot MT_MET(mu[2]) 50 0 1000 [PTordering] +plot M(mu[1] mu[2]) 50 0 1000 [PTordering] +plot PT(mu[1] mu[2]) 50 0 1500 [PTordering] +plot DELTAR(mu[1],mu[2]) 50 0 10 [PTordering] +plot DPHI_0_PI(mu[1],mu[2]) 32 0 3.2 [PTordering] +plot DPHI_0_2PI(mu[1],mu[2]) 32 0 6.4 [PTordering] + +# ------------------------------------------------------------------ +# Inclusive b-jet / b-parton histograms +# ------------------------------------------------------------------ +plot PT(b) 50 0 1000 [PTordering] +plot ETA(b) 50 -8 8 +plot ABSETA(b) 50 0 8 +plot PHI(b) 32 -3.2 3.2 +plot E(b) 50 0 2000 +plot ET(b) 50 0 2000 +plot M(b) 50 0 50 +plot MT(b) 50 0 1000 +plot MT_MET(b) 50 0 1000 +plot P(b) 50 0 2000 +plot PX(b) 50 -1000 1000 +plot PY(b) 50 -1000 1000 +plot PZ(b) 50 -2000 2000 +plot R(b) 50 0 10 +plot Y(b) 50 -8 8 +plot BETA(b) 50 0 1.2 +plot GAMMA(b) 50 1 100 + +# Leading/subleading b objects +plot PT(b[1]) 50 0 1000 [PTordering] +plot ETA(b[1]) 50 -8 8 [PTordering] +plot PHI(b[1]) 32 -3.2 3.2 [PTordering] +plot E(b[1]) 50 0 2000 [PTordering] +plot MT_MET(b[1]) 50 0 1000 [PTordering] +plot PT(b[2]) 50 0 1000 [PTordering] +plot ETA(b[2]) 50 -8 8 [PTordering] +plot PHI(b[2]) 32 -3.2 3.2 [PTordering] +plot E(b[2]) 50 0 2000 [PTordering] +plot MT_MET(b[2]) 50 0 1000 [PTordering] +plot M(b[1] b[2]) 50 0 2000 [PTordering] +plot PT(b[1] b[2]) 50 0 2000 [PTordering] +plot DELTAR(b[1],b[2]) 50 0 10 [PTordering] +plot DPHI_0_PI(b[1],b[2]) 32 0 3.2 [PTordering] +plot DPHI_0_2PI(b[1],b[2]) 32 0 6.4 [PTordering] + +# ------------------------------------------------------------------ +# Inclusive light-jet / light-parton histograms +# ------------------------------------------------------------------ +plot PT(j) 50 0 1000 [PTordering] +plot ETA(j) 50 -8 8 +plot ABSETA(j) 50 0 8 +plot PHI(j) 32 -3.2 3.2 +plot E(j) 50 0 2000 +plot ET(j) 50 0 2000 +plot M(j) 50 0 200 +plot MT(j) 50 0 1000 +plot MT_MET(j) 50 0 1000 +plot P(j) 50 0 2000 +plot PX(j) 50 -1000 1000 +plot PY(j) 50 -1000 1000 +plot PZ(j) 50 -2000 2000 +plot R(j) 50 0 10 +plot Y(j) 50 -8 8 +plot BETA(j) 50 0 1.2 +plot GAMMA(j) 50 1 100 + +# Leading/subleading light jets +plot PT(j[1]) 50 0 1000 [PTordering] +plot ETA(j[1]) 50 -8 8 [PTordering] +plot PHI(j[1]) 32 -3.2 3.2 [PTordering] +plot E(j[1]) 50 0 2000 [PTordering] +plot MT_MET(j[1]) 50 0 1000 [PTordering] +plot PT(j[2]) 50 0 1000 [PTordering] +plot ETA(j[2]) 50 -8 8 [PTordering] +plot PHI(j[2]) 32 -3.2 3.2 [PTordering] +plot E(j[2]) 50 0 2000 [PTordering] +plot MT_MET(j[2]) 50 0 1000 [PTordering] +plot M(j[1] j[2]) 50 0 3000 [PTordering] +plot PT(j[1] j[2]) 50 0 3000 [PTordering] +plot DELTAR(j[1],j[2]) 50 0 10 [PTordering] +plot DPHI_0_PI(j[1],j[2]) 32 0 3.2 [PTordering] +plot DPHI_0_2PI(j[1],j[2]) 32 0 6.4 [PTordering] + +# ------------------------------------------------------------------ +# Inclusive two-object histograms by object category +# ------------------------------------------------------------------ +plot DELTAR(e,e) 50 0 10 +plot DPHI_0_PI(e,e) 32 0 3.2 +plot DPHI_0_2PI(e,e) 32 0 6.4 +plot M(e e) 50 0 1000 +plot PT(e e) 50 0 1500 + +plot DELTAR(mu,mu) 50 0 10 +plot DPHI_0_PI(mu,mu) 32 0 3.2 +plot DPHI_0_2PI(mu,mu) 32 0 6.4 +plot M(mu mu) 50 0 1000 +plot PT(mu mu) 50 0 1500 + +plot DELTAR(b,b) 50 0 10 +plot DPHI_0_PI(b,b) 32 0 3.2 +plot DPHI_0_2PI(b,b) 32 0 6.4 +plot M(b b) 50 0 2000 +plot PT(b b) 50 0 2000 + +plot DELTAR(j,j) 50 0 10 +plot DPHI_0_PI(j,j) 32 0 3.2 +plot DPHI_0_2PI(j,j) 32 0 6.4 +plot M(j j) 50 0 3000 +plot PT(j j) 50 0 3000 + +# Mixed-object histograms +plot DELTAR(e,mu) 50 0 10 +plot DELTAR(e,j) 50 0 10 +plot DELTAR(mu,j) 50 0 10 +plot DELTAR(b,j) 50 0 10 +plot M(e mu) 50 0 1000 +plot M(e j) 50 0 2000 +plot M(mu j) 50 0 2000 +plot M(b j) 50 0 3000 +plot PT(e mu) 50 0 1500 +plot PT(b j) 50 0 3000 + +# Leading mixed-object combinations +plot DELTAR(e[1],mu[1]) 50 0 10 [PTordering] +plot DELTAR(e[1],j[1]) 50 0 10 [PTordering] +plot DELTAR(mu[1],j[1]) 50 0 10 [PTordering] +plot DELTAR(b[1],j[1]) 50 0 10 [PTordering] +plot M(e[1] mu[1]) 50 0 1000 [PTordering] +plot M(e[1] j[1]) 50 0 2000 [PTordering] +plot M(mu[1] j[1]) 50 0 2000 [PTordering] +plot M(b[1] j[1]) 50 0 3000 [PTordering] +plot PT(e[1] mu[1]) 50 0 1500 [PTordering] +plot PT(b[1] j[1]) 50 0 3000 [PTordering] + +submit diff --git a/validation/scripts/validation_bootstrap b/validation/scripts/validation_bootstrap deleted file mode 100755 index 49a8778f..00000000 --- a/validation/scripts/validation_bootstrap +++ /dev/null @@ -1,309 +0,0 @@ -#!/usr/bin/env python3 - -################################################################################ -# -# Copyright (C) 2012-2022 Jack Araz, Eric Conte & Benjamin Fuks -# The MadAnalysis development team, email: -# -# This file is part of MadAnalysis 5. -# Official website: -# -# MadAnalysis 5 is free software: you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation, either version 3 of the License, or -# (at your option) any later version. -# -# MadAnalysis 5 is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with MadAnalysis 5. If not, see -# -################################################################################ - -import argparse -import os, sys -from typing import Text - -try: - import ma5_validation as ma5 -except ModuleNotFoundError as err: - sys.exit("The validation interface has not been found. Please install the interface first. " - "For details, see `validation/README.md`") - - -def run_scripts(path: Text): - """ - A generic function to run MadAnalysis 5 scripts - - Parameters - ---------- - path : Text - Path to the folder containing the scripts, or the full path of the script itself. - - Raises - ------ - MadAnalysis5ExecutionError - If execution has failed. - MadAnalysis5Error - If check has failed. - For other exceptions please see `ma5_validation.utils.JobHandler` internal exceptions. - """ - - def execute(script: ma5.utils.ScriptReader): - script.decode() - job = ma5.utils.JobHandler(script) - if not job.execute(): - raise ma5.system.MadAnalysis5ExecutionError("MadAnalysis execution has failed.") - if not job.check(): - raise ma5.system.MadAnalysis5Error("MadAnalysis has raised an error.") - - if os.path.isdir(path): - for script in [f for f in os.listdir(path) if f.endswith(".ma5")]: - execute(ma5.utils.ScriptReader(os.path.join(path, script))) - else: - if path.endswith(".ma5"): - execute(ma5.utils.ScriptReader(path)) - else: - raise ma5.system.InvalidScript(f"Unknown file format: {path}") - - -def main(args): - - ma5.utils.PathHandler.set_ma5path(args.MA5DIR) - ma5.utils.PathHandler.set_logpath(args.LOGDIR) - - list_of_samples = [ - "mg5_ttbar2l.lhco", - "MinBias.pileup", - "ttbar_sl_1.lhe", - "ttbar_sl_2.lhe", - "zz.lhe.gz", - "mg5_zll.lhco", - "ttbar_fh.lhe.gz", - "ttbar_sl_1.lhe.gz", - "ttbar_sl_2.lhe.gz", - "wplus_prod.hepmc.gz", - ] - - def install_samples(): - smp_installation = ma5.utils.InstallationHandler("samples") - job = ma5.utils.JobHandler(smp_installation) - if not (job.execute() and job.check()): - raise ma5.system.MadAnalysis5Error("A problem has occurred during the installation of the samples.") - - # Check if samples are installed - if not os.path.isdir(ma5.utils.PathHandler.SMP_PATH): - install_samples() - else: - # Satisfy minimum requirement for samples - for smp in list_of_samples: - if smp not in os.listdir(ma5.utils.PathHandler.SMP_PATH): - install_samples() - break - - session_info, archi_info = ma5.utils.PathHandler.check_ma5_setup() - - if not archi_info.has_zlib: - zlib_installation = ma5.utils.InstallationHandler("zlib") - job = ma5.utils.JobHandler(zlib_installation) - if not (job.execute() and job.check()): - raise ma5.system.MadAnalysis5Error("A problem has occurred during the installation of zlib.") - archi_info.has_zlib = True - - # Validate Parton Level - if args.PARTON: - run_scripts(ma5.utils.PathHandler.PARTON_LEVEL_PATH) - - # Validate Hadron Level - if args.HADRON: - run_scripts(ma5.utils.PathHandler.HADRON_LEVEL_PATH) - - # Validate Reco level - if args.RECO: - run_scripts(ma5.utils.PathHandler.RECO_LEVEL_PATH) - - # Validate Expert Mode - if args.EXPERT: - if not archi_info.has_fastjet: - job = ma5.utils.JobHandler(ma5.utils.InstallationHandler("fastjet")) - if not (job.execute() and job.check()): - raise ma5.system.MadAnalysis5Error( - "A problem has occurred during the installation of fastjet." - ) - archi_info.has_fastjet = True - run_scripts(ma5.utils.PathHandler.EXPERT_LEVEL_PATH) - - # Validate custom script - if args.CUSTOM is not None: - run_scripts(args.CUSTOM) - - # Validate Fastjet - if args.FASTJET: - if not archi_info.has_fastjet: - job = ma5.utils.JobHandler(ma5.utils.InstallationHandler("fastjet")) - if not (job.execute() and job.check()): - raise ma5.system.MadAnalysis5Error( - "A problem has occurred during the installation of fastjet ." - ) - archi_info.has_fastjet = True - run_scripts(ma5.utils.PathHandler.FASTJET_INTERFACE_PATH) - - # Validate Delphes - if args.DELPHES: - if not archi_info.has_delphes: - if not archi_info.has_root: - job = ma5.utils.JobHandler(ma5.utils.InstallationHandler("root")) - if not (job.execute() and job.check()): - raise ma5.system.MadAnalysis5Error( - "A problem has occurred during the installation of root." - ) - archi_info.has_root = True - job = ma5.utils.JobHandler(ma5.utils.InstallationHandler("delphes")) - if not (job.execute() and job.check()): - raise ma5.system.MadAnalysis5Error( - "A problem has occurred during the installation of delphes." - ) - archi_info.has_delphes = True - run_scripts(ma5.utils.PathHandler.DELPHES_INTERFACE_PATH) - - # Validate PAD - if args.PAD: - if not archi_info.has_delphes: - if not archi_info.has_root: - job = ma5.utils.JobHandler(ma5.utils.InstallationHandler("root")) - if not (job.execute() and job.check()): - raise ma5.system.MadAnalysis5Error( - "A problem has occurred during the installation of root." - ) - archi_info.has_root = True - job = ma5.utils.JobHandler(ma5.utils.InstallationHandler("delphes")) - if not (job.execute() and job.check()): - raise ma5.system.MadAnalysis5Error( - "A problem has occurred during the installation of delphes." - ) - archi_info.has_delphes = True - if not session_info.has_pad: - job = ma5.utils.JobHandler(ma5.utils.InstallationHandler("PAD")) - if not (job.execute() and job.check()): - raise ma5.system.MadAnalysis5Error( - "A problem has occurred during the installation of the PAD." - ) - session_info.has_pad = True - session_info.has_padsfs = True - run_scripts(ma5.utils.PathHandler.PAD_INTERFACE_PATH) - - # Validate PADForSFS - if args.PADForSFS: - if not archi_info.has_fastjet: - job = ma5.utils.JobHandler(ma5.utils.InstallationHandler("fastjet")) - if not (job.execute() and job.check()): - raise ma5.system.MadAnalysis5Error( - "A problem has occurred during the installation of fastjet." - ) - archi_info.has_fastjet = True - if not session_info.has_padsfs: - job = ma5.utils.JobHandler(ma5.utils.InstallationHandler("PADForSFS")) - if not (job.execute() and job.check()): - raise ma5.system.MadAnalysis5Error( - "A problem has occurred during the installation of the PAD for SFS." - ) - session_info.has_padsfs = True - run_scripts(ma5.utils.PathHandler.PAD_INTERFACE_PATH) - - - -if __name__ == "__main__": - - parser = argparse.ArgumentParser(description="Validation module executor for MadAnalysis 5") - - paths = parser.add_argument_group("Path handling.") - paths.add_argument( - "--ma5-dir", - type=str, - dest="MA5DIR", - default=ma5.utils.PathHandler.MA5PATH, - help=f"MadAnalysis 5 directory path. " f"Default `{ma5.utils.PathHandler.MA5PATH}`", - ) - paths.add_argument( - "--log-dir", - type=str, - dest="LOGDIR", - default=ma5.utils.PathHandler.LOGPATH, - help=f"Log directory path. " f"Default `{ma5.utils.PathHandler.LOGPATH}`", - ) - - validation = parser.add_argument_group("Validation Handling") - validation.add_argument( - "-P", - "--parton-level", - dest="PARTON", - action="store_true", - default=False, - help="Validate normal mode in parton level.", - ) - validation.add_argument( - "-H", - "--hadron-level", - dest="HADRON", - action="store_true", - default=False, - help="Validate normal mode in hadron level.", - ) - validation.add_argument( - "-R", - "--reco-level", - dest="RECO", - action="store_true", - default=False, - help="Validate normal mode in reco level.", - ) - validation.add_argument( - "-e", - "--expert-mode", - dest="EXPERT", - action="store_true", - default=False, - help="Validate expert mode.", - ) - validation.add_argument( - "--fastjet", - dest="FASTJET", - action="store_true", - default=False, - help="Validate FastJet interface.", - ) - validation.add_argument( - "--delphes", - dest="DELPHES", - action="store_true", - default=False, - help="Validate Delphes interface.", - ) - validation.add_argument( - "--pad", - dest="PAD", - action="store_true", - default=False, - help="Validate PAD interface including PAD.", - ) - validation.add_argument( - "--padforsfs", - dest="PADForSFS", - action="store_true", - default=False, - help="Validate PADForSFS interface including PADForSFS.", - ) - validation.add_argument( - "--custom-script", - dest="CUSTOM", - default=None, - type=str, - help="Validate a custom MadAnalysis 5 script. Script needs to be written in `ma5_validation` syntax.", - ) - - args = parser.parse_args() - - main(args) diff --git a/validation/setup.py b/validation/setup.py deleted file mode 100644 index 60fa67a6..00000000 --- a/validation/setup.py +++ /dev/null @@ -1,53 +0,0 @@ -################################################################################ -# -# Copyright (C) 2012-2022 Jack Araz, Eric Conte & Benjamin Fuks -# The MadAnalysis development team, email: -# -# This file is part of MadAnalysis 5. -# Official website: -# -# MadAnalysis 5 is free software: you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation, either version 3 of the License, or -# (at your option) any later version. -# -# MadAnalysis 5 is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with MadAnalysis 5. If not, see -# -################################################################################ - -from setuptools import setup - -with open("README.md", "r", encoding="utf-8") as f: - long_description = f.read() - -with open("requirements.txt", "r") as f: - requirements = f.read() -requirements = [x for x in requirements.split("\n") if x != ""] - - -setup( - name="ma5_validation", - version="0.0.1", - description=("Validation module for MadAnalysis 5"), - long_description=long_description, - long_description_content_type="text/markdown", - url="https://github.com/MadAnalysis/madanalysis5", - author="J.Y. Araz, B. Fuks, E. Conte", - author_email=("jack.araz@durham.ac.uk, fuks@lpthe.jussieu.fr, eric.conte@iphc.cnrs.fr"), - license="GPL-3.0", - package_dir={"": "src"}, - install_requires=requirements, - python_requires=">=3.6", - classifiers=[ - "Intended Audience :: Science/Research", - "Operating System :: OS Independent", - "Programming Language :: Python :: 3", - "Topic :: Scientific/Engineering :: Physics", - ], -) diff --git a/validation/src/ma5_validation/__init__.py b/validation/src/ma5_validation/__init__.py deleted file mode 100644 index 32f1c342..00000000 --- a/validation/src/ma5_validation/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -from ma5_validation import utils -from ma5_validation import system - -__all__ = utils.__all__ + system.__all__ diff --git a/validation/src/ma5_validation/ma5_scripts/delphes_interface/delphes_atlas.ma5 b/validation/src/ma5_validation/ma5_scripts/delphes_interface/delphes_atlas.ma5 deleted file mode 100644 index 2e8bf3c1..00000000 --- a/validation/src/ma5_validation/ma5_scripts/delphes_interface/delphes_atlas.ma5 +++ /dev/null @@ -1,13 +0,0 @@ -#TITLE Delphes fastsimulation: ATLAS + no pileup -#MODE RECO - -set main.fastsim.package = delphes -set main.fastsim.detector = atlas -set main.fastsim.pileup = none -display main -plot MET - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit -#END \ No newline at end of file diff --git a/validation/src/ma5_validation/ma5_scripts/delphes_interface/delphes_atlas_pileup.ma5 b/validation/src/ma5_validation/ma5_scripts/delphes_interface/delphes_atlas_pileup.ma5 deleted file mode 100644 index cd2168c1..00000000 --- a/validation/src/ma5_validation/ma5_scripts/delphes_interface/delphes_atlas_pileup.ma5 +++ /dev/null @@ -1,13 +0,0 @@ -#TITLE Delphes fastsimulation: ATLAS + pileup -#MODE RECO - -set main.fastsim.package = delphes -set main.fastsim.detector = atlas -set main.fastsim.pileup = $SMP_PATH/MinBias.pileup -display main -plot MET - -import $SMP_PATH/*hep* -import $SMP_PATH/*hepmc* -submit -#END \ No newline at end of file diff --git a/validation/src/ma5_validation/ma5_scripts/delphes_interface/delphes_cms.ma5 b/validation/src/ma5_validation/ma5_scripts/delphes_interface/delphes_cms.ma5 deleted file mode 100644 index a489c06e..00000000 --- a/validation/src/ma5_validation/ma5_scripts/delphes_interface/delphes_cms.ma5 +++ /dev/null @@ -1,13 +0,0 @@ -#TITLE Delphes fastsimulation: CMS + no pileup -#MODE RECO - -set main.fastsim.package = delphes -set main.fastsim.detector = cms -set main.fastsim.pileup = none -display main -plot MET - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit -#END \ No newline at end of file diff --git a/validation/src/ma5_validation/ma5_scripts/delphes_interface/delphes_cms_pileup.ma5 b/validation/src/ma5_validation/ma5_scripts/delphes_interface/delphes_cms_pileup.ma5 deleted file mode 100644 index 040be41b..00000000 --- a/validation/src/ma5_validation/ma5_scripts/delphes_interface/delphes_cms_pileup.ma5 +++ /dev/null @@ -1,13 +0,0 @@ -#TITLE Delphes fastsimulation: CMS + pileup -#MODE RECO - -set main.fastsim.package = delphes -set main.fastsim.detector = cms -set main.fastsim.pileup = $SMP_PATH/MinBias.pileup -display main -plot MET - -import $SMP_PATH/*hep* -import $SMP_PATH/*hepmc* -submit -#END \ No newline at end of file diff --git a/validation/src/ma5_validation/ma5_scripts/expert_level/datastructure.cpp b/validation/src/ma5_validation/ma5_scripts/expert_level/datastructure.cpp deleted file mode 100644 index 06c0bc8f..00000000 --- a/validation/src/ma5_validation/ma5_scripts/expert_level/datastructure.cpp +++ /dev/null @@ -1,98 +0,0 @@ -#include "SampleAnalyzer/User/Analyzer/datastructure.h" -using namespace MA5; -using namespace std; - -// ----------------------------------------------------------------------------- -// Initialize -// function called one time at the beginning of the analysis -// ----------------------------------------------------------------------------- -bool datastructure::Initialize(const MA5::Configuration& cfg, - const std::map& parameters) -{ - // Initializing PhysicsService for MC - PHYSICS->mcConfig().Reset(); - AddDefaultHadronic(); - AddDefaultInvisible(); - - MAint32 test = getOption("test", 0); - - if (test == 0) {ERROR << "Commandline input has not been registered." << endmsg;} - - return true; -} - -// ----------------------------------------------------------------------------- -// Finalize -// function called one time at the end of the analysis -// ----------------------------------------------------------------------------- -void datastructure::Finalize(const SampleFormat& summary, const std::vector& files) {} - -// ----------------------------------------------------------------------------- -// Execute -// function called each time one event is read -// ----------------------------------------------------------------------------- -bool datastructure::Execute(SampleFormat& sample, const EventFormat& event) -{ - // Event weight - MAdouble64 EvWeight; - if(Configuration().IsNoEventWeight()) EvWeight=1.; - else if(event.mc()->weight()!=0.) EvWeight=event.mc()->weight(); - else { return false;} - Manager()->InitializeForNewEvent(EvWeight); - // Empty event - if (event.rec()==0) {return true;} - - std::vector SignalElectrons = filter(event.rec()->electrons(), 10, 2.5); - std::vector SignalMuons = filter(event.rec()->muons(), 10, 2.5); - std::vector SignalPhotons = filter(event.rec()->photons(), 10, 2.5); - std::vector SignalTaus = filter(event.rec()->taus(), 10, 2.5); - - std::vector SignalJets = filter_select(event.rec()->jets(), - [] (const RecJetFormat* jet) { return (jet->pt()>20. && jet->eta()<4.); }); - - std::vector SignalTracks = filter_select(event.rec()->tracks(), \ - [] (const RecTrackFormat* trk) { return (trk->eta() > 2. && trk->eta()<4.); }); - - // Object overlap removal - SignalJets = OverlapRemoval(SignalJets, SignalElectrons, 0.2); - SignalElectrons = OverlapRemoval(SignalElectrons, SignalJets, 0.5); - - // Test attributes of each data structure - if (SignalJets.size() > 0) - { - MAuint16 ntracks = SignalJets[0]->ntracks(); - MAbool btag = SignalJets[0]->btag(); - MAbool ctag = SignalJets[0]->ctag(); - MAbool true_ctag = SignalJets[0]->true_ctag(); - MAbool true_btag = SignalJets[0]->true_btag(); - MAint32 nconstit = SignalJets[0]->constituents().size(); -// SignalJets[0]->Print(); - } - if (SignalElectrons.size() > 0) - { - MAint32 charge = SignalElectrons[0]->charge(); - MAfloat32 sumET_isol = SignalElectrons[0]->sumET_isol(); - MAfloat32 sumPT_isol = SignalElectrons[0]->sumPT_isol(); - MAfloat32 ET_PT_isol = SignalElectrons[0]->ET_PT_isol(); - MAuint64 refmc = SignalElectrons[0]->refmc(); - MAbool isElectron = SignalElectrons[0]->isElectron(); - MAbool isMuon = SignalElectrons[0]->isMuon(); - MAfloat32 d0error = SignalElectrons[0]->d0error(); - MAfloat32 dzerror = SignalElectrons[0]->dzerror(); -// SignalElectrons[0]->Print(); - } - if (SignalTaus.size() > 0) - { - MAint32 charge = SignalTaus[0]->charge(); - MAuint16 ntracks = SignalTaus[0]->ntracks(); - MAint32 DecayMode = SignalTaus[0]->DecayMode(); - } - if (SignalTracks.size() > 0) - { - MAint32 charge = SignalTracks[0]->charge(); - MAint32 pdgid = SignalTracks[0]->pdgid(); -// SignalTracks[0]->Print(); - } - - return true; -} diff --git a/validation/src/ma5_validation/ma5_scripts/expert_level/datastructure.h b/validation/src/ma5_validation/ma5_scripts/expert_level/datastructure.h deleted file mode 100644 index e64d1ae5..00000000 --- a/validation/src/ma5_validation/ma5_scripts/expert_level/datastructure.h +++ /dev/null @@ -1,21 +0,0 @@ -#ifndef analysis_datastructure_h -#define analysis_datastructure_h - -#include "SampleAnalyzer/Process/Analyzer/AnalyzerBase.h" - -namespace MA5 -{ -class datastructure : public AnalyzerBase -{ - INIT_ANALYSIS(datastructure,"datastructure") - - public: - virtual bool Initialize(const MA5::Configuration& cfg, const std::map& parameters); - virtual void Finalize(const SampleFormat& summary, const std::vector& files); - virtual bool Execute(SampleFormat& sample, const EventFormat& event); - - private: -}; -} - -#endif \ No newline at end of file diff --git a/validation/src/ma5_validation/ma5_scripts/expert_level/datastructure_reco.ma5 b/validation/src/ma5_validation/ma5_scripts/expert_level/datastructure_reco.ma5 deleted file mode 100644 index fe8a29c2..00000000 --- a/validation/src/ma5_validation/ma5_scripts/expert_level/datastructure_reco.ma5 +++ /dev/null @@ -1,10 +0,0 @@ -#TITLE Test datastructure in expert reco mode -#MODE EXPERTRECO - -set main.fastsim.package = fastjet - -import $MA5PATH/samples/*hepmc* - -#CPP $EXPERT_LEVEL_PATH/datastructure.cpp -#HEADER $EXPERT_LEVEL_PATH/datastructure.h -#COMMANDLINE --test=1 \ No newline at end of file diff --git a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/LHCO_output.ma5 b/validation/src/ma5_validation/ma5_scripts/fastjet_interface/LHCO_output.ma5 deleted file mode 100644 index c040d3b5..00000000 --- a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/LHCO_output.ma5 +++ /dev/null @@ -1,12 +0,0 @@ -#TITLE clustering + LHCO output -#MODE RECO - -set main.fastsim.package = fastjet -set main.fastsim.algorithm = antikt -set main.outputfile = "test.lhco" -display main - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit -#END diff --git a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/LHE_output.ma5 b/validation/src/ma5_validation/ma5_scripts/fastjet_interface/LHE_output.ma5 deleted file mode 100644 index 1d1778bd..00000000 --- a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/LHE_output.ma5 +++ /dev/null @@ -1,12 +0,0 @@ -#TITLE clustering + LHE output -#MODE RECO - -set main.fastsim.package = fastjet -set main.fastsim.algorithm = antikt -set main.outputfile = "test.lhe" -display main - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit -#END diff --git a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_antikt.ma5 b/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_antikt.ma5 deleted file mode 100644 index 81b4cfad..00000000 --- a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_antikt.ma5 +++ /dev/null @@ -1,14 +0,0 @@ -#TITLE clustering with antikt algorithm -#MODE RECO - -set main.fastsim.package = fastjet -set main.fastsim.algorithm = antikt -set main.fastsim.ptmin = 20.0 -set main.fastsim.radius = 0.4 -display main -plot MET - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit -#END \ No newline at end of file diff --git a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_cambridge.ma5 b/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_cambridge.ma5 deleted file mode 100644 index 563e5cfc..00000000 --- a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_cambridge.ma5 +++ /dev/null @@ -1,14 +0,0 @@ -#TITLE clustering with cambridge/achen algorithm -#MODE RECO - -set main.fastsim.package = fastjet -set main.fastsim.algorithm = cambridge -set main.fastsim.ptmin = 20 -set main.fastsim.radius = 0.4 -display main -plot MET - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit -#END diff --git a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_cdfjetclu.ma5 b/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_cdfjetclu.ma5 deleted file mode 100644 index a44c0eaf..00000000 --- a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_cdfjetclu.ma5 +++ /dev/null @@ -1,17 +0,0 @@ -#TITLE clustering with cdfjet algorithm -#MODE RECO - -set main.fastsim.package = fastjet -set main.fastsim.algorithm = cdfjetclu -set main.fastsim.ptmin = 5 -set main.fastsim.radius = 1.0 -set main.fastsim.seed = 1.0 -set main.fastsim.overlap = 0.5 -set main.fastsim.iratch = 0 -display main -plot MET - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit -#END diff --git a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_cdfmidpoint.ma5 b/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_cdfmidpoint.ma5 deleted file mode 100644 index edbc6df5..00000000 --- a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_cdfmidpoint.ma5 +++ /dev/null @@ -1,17 +0,0 @@ -#TITLE clustering with cdfmidpoint algorithm -#MODE RECO - -set main.fastsim.package = fastjet -set main.fastsim.algorithm = cdfmidpoint -set main.fastsim.ptmin = 5 -set main.fastsim.radius = 1.0 -set main.fastsim.seed = 1.0 -set main.fastsim.overlap = 0.5 -set main.fastsim.areafraction = 1.0 -display main -plot MET - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit -#END diff --git a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_genkt.ma5 b/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_genkt.ma5 deleted file mode 100644 index 4595aa11..00000000 --- a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_genkt.ma5 +++ /dev/null @@ -1,16 +0,0 @@ -#TITLE fastsim with genkt algorithm -#MODE RECO - -set main.fastsim.package = fastjet -set main.fastsim.algorithm = genkt -set main.fastsim.exclusive = false -set main.fastsim.p = -1.0 -set main.fastsim.ptmin = 5.0 -set main.fastsim.radius = 1.0 -display main -plot MET - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit -#END diff --git a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_gridjet.ma5 b/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_gridjet.ma5 deleted file mode 100644 index 8f3025ff..00000000 --- a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_gridjet.ma5 +++ /dev/null @@ -1,15 +0,0 @@ -#TITLE fastjet with gridjet algorithm -#MODE RECO - -set main.fastsim.package = fastjet -set main.fastsim.algorithm = gridjet -set main.fastsim.ptmin = 5 -set main.fastsim.spacing = 0.1 -set main.fastsim.ymax = 3.0 -display main -plot MET - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit -#END diff --git a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_kt.ma5 b/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_kt.ma5 deleted file mode 100644 index 548c8d1a..00000000 --- a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_kt.ma5 +++ /dev/null @@ -1,23 +0,0 @@ -#TITLE fastsim with kt algorithm -#MODE RECO - -set main.fastsim.package = fastjet -set main.fastsim.algorithm = kt -set main.fastsim.exclusive = false -set main.fastsim.ptmin = 5.0 -set main.fastsim.radius = 0.4 -set main.fastsim.exclusive_id = false -set main.fastsim.bjet_id.efficiency = 0.5 -set main.fastsim.bjet_id.exclusive = true -set main.fastsim.bjet_id.matching_dr = 1 -set main.fastsim.tau_id.efficiency = 0.5 -set main.fastsim.bjet_id.misid_cjet = 0.5 -set main.fastsim.bjet_id.misid_ljet = 0.5 -set main.fastsim.tau_id.misid_ljet = 0.5 -display main -plot MET - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit -#END diff --git a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_siscone.ma5 b/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_siscone.ma5 deleted file mode 100644 index cde96786..00000000 --- a/validation/src/ma5_validation/ma5_scripts/fastjet_interface/clustering_siscone.ma5 +++ /dev/null @@ -1,17 +0,0 @@ -#TITLE fastsim with kt algorithm -#MODE RECO - -set main.fastsim.package = fastjet -set main.fastsim.algorithm = siscone -set main.fastsim.input_ptmin = 0 -set main.fastsim.npassmax = 0 -set main.fastsim.overlap = 0.5 -set main.fastsim.ptmin = 5 -set main.fastsim.radius = 1.0 -display main -plot MET - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit -#END diff --git a/validation/src/ma5_validation/ma5_scripts/hadron_level/plot_observables.ma5 b/validation/src/ma5_validation/ma5_scripts/hadron_level/plot_observables.ma5 deleted file mode 100644 index c73ed47c..00000000 --- a/validation/src/ma5_validation/ma5_scripts/hadron_level/plot_observables.ma5 +++ /dev/null @@ -1,808 +0,0 @@ -#TITLE Testing plotting tool in hadronic mode -#MODE HADRON - -plot SQRTS -plot TET -plot MET -plot THT -plot MHT -plot NPID -plot NAPID - -# single particle plots - -define mu = mu+ mu- - -plot E (mu+) -plot vE (mu+) -plot sE (mu+) -plot M (mu+) -plot vM (mu+) -plot sM (mu+) -plot vP (mu+) -plot sP (mu+) -plot ET (mu+) -plot vET (mu+) -plot sET (mu+) -plot MT (mu+) -plot vMT (mu+) -plot sMT (mu+) -plot PT (mu+) -plot vPT (mu+) -plot sPT (mu+) -plot PX (mu+) -plot vPX (mu+) -plot sPX (mu+) -plot PY (mu+) -plot vPY (mu+) -plot sPY (mu+) -plot PZ (mu+) -plot vPZ (mu+) -plot sPZ (mu+) -plot R (mu+) -plot vR (mu+) -plot sR (mu+) -plot DELTAR (mu+,mu+) -plot vDELTAR (mu+,mu+) -plot ETA (mu+) -plot vETA (mu+) -plot sETA (mu+) -plot THETA (mu+) -plot vTHETA (mu+) -plot sTHETA (mu+) -plot PHI (mu+) -plot vPHI (mu+) -plot sPHI (mu+) -plot Y (mu+) -plot vY (mu+) -plot sY (mu+) -plot BETA (mu+) -plot vBETA (mu+) -plot sBETA (mu+) -plot GAMMA (mu+) -plot vGAMMA (mu+) -plot sGAMMA (mu+) -plot N (mu+) -plot vN (mu+) - -plot E (mu) -plot vE (mu) -plot sE (mu) -plot M (mu) -plot vM (mu) -plot sM (mu) -plot vP (mu) -plot sP (mu) -plot ET (mu) -plot vET (mu) -plot sET (mu) -plot MT (mu) -plot vMT (mu) -plot sMT (mu) -plot PT (mu) -plot vPT (mu) -plot sPT (mu) -plot PX (mu) -plot vPX (mu) -plot sPX (mu) -plot vPY (mu) -plot sPY (mu) -plot PZ (mu) -plot vPZ (mu) -plot sPZ (mu) -plot R (mu) -plot vR (mu) -plot sR (mu) -plot DELTAR (mu,mu) -plot vDELTAR (mu,mu) -plot ETA (mu) -plot vETA (mu) -plot sETA (mu) -plot THETA (mu) -plot vTHETA (mu) -plot sTHETA (mu) -plot PHI (mu) -plot vPHI (mu) -plot sPHI (mu) -plot Y (mu) -plot vY (mu) -plot sY (mu) -plot BETA (mu) -plot vBETA (mu) -plot sBETA (mu) -plot GAMMA (mu) -plot vGAMMA (mu) -plot sGAMMA (mu) -plot N (mu) -plot vN (mu) -plot sN (mu) - -plot DELTAR (mu+,e+) -plot vDELTAR (mu+,e+) - -plot DELTAR (e+,mu+) -plot vDELTAR (e+,mu+) - -# two particle plots - -plot E (mu+ mu-) -plot vE (mu+ mu-) -plot sE (mu+ mu-) -plot sdE (mu+ mu-) -plot dsE (mu+ mu-) -plot dE (mu+ mu-) -plot dvE (mu+ mu-) -plot vdE (mu+ mu-) -plot rE (mu+ mu-) -plot M (mu+ mu-) -plot vM (mu+ mu-) -plot sM (mu+ mu-) -plot sdM (mu+ mu-) -plot dsM (mu+ mu-) -plot dM (mu+ mu-) -plot dvM (mu+ mu-) -plot vdM (mu+ mu-) -plot rM (mu+ mu-) -plot vP (mu+ mu-) -plot sP (mu+ mu-) -plot sdP (mu+ mu-) -plot dsP (mu+ mu-) -plot dP (mu+ mu-) -plot dvP (mu+ mu-) -plot vdP (mu+ mu-) -plot rP (mu+ mu-) -plot ET (mu+ mu-) -plot vET (mu+ mu-) -plot sET (mu+ mu-) -plot sdET (mu+ mu-) -plot dsET (mu+ mu-) -plot dET (mu+ mu-) -plot dvET (mu+ mu-) -plot vdET (mu+ mu-) -plot rET (mu+ mu-) -plot MT (mu+ mu-) -plot vMT (mu+ mu-) -plot sMT (mu+ mu-) -plot sdMT (mu+ mu-) -plot dsMT (mu+ mu-) -plot dMT (mu+ mu-) -plot dvMT (mu+ mu-) -plot vdMT (mu+ mu-) -plot rMT (mu+ mu-) -plot PT (mu+ mu-) -plot vPT (mu+ mu-) -plot sPT (mu+ mu-) -plot sdPT (mu+ mu-) -plot dsPT (mu+ mu-) -plot dPT (mu+ mu-) -plot dvPT (mu+ mu-) -plot vdPT (mu+ mu-) -plot rPT (mu+ mu-) -plot PX (mu+ mu-) -plot vPX (mu+ mu-) -plot sPX (mu+ mu-) -plot sdPX (mu+ mu-) -plot dsPX (mu+ mu-) -plot dPX (mu+ mu-) -plot dvPX (mu+ mu-) -plot vdPX (mu+ mu-) -plot rPX (mu+ mu-) -plot PY (mu+ mu-) -plot vPY (mu+ mu-) -plot sPY (mu+ mu-) -plot sdPY (mu+ mu-) -plot dsPY (mu+ mu-) -plot dPY (mu+ mu-) -plot dvPY (mu+ mu-) -plot vdPY (mu+ mu-) -plot rPY (mu+ mu-) -plot PZ (mu+ mu-) -plot vPZ (mu+ mu-) -plot sPZ (mu+ mu-) -plot sdPZ (mu+ mu-) -plot dsPZ (mu+ mu-) -plot dPZ (mu+ mu-) -plot dvPZ (mu+ mu-) -plot vdPZ (mu+ mu-) -plot rPZ (mu+ mu-) -plot R (mu+ mu-) -plot vR (mu+ mu-) -plot sR (mu+ mu-) -plot sdR (mu+ mu-) -plot dsR (mu+ mu-) -plot dR (mu+ mu-) -plot dvR (mu+ mu-) -plot vdR (mu+ mu-) -plot rR (mu+ mu-) -plot DELTAR (mu+ mu-,mu+ mu-) -plot vDELTAR (mu+ mu-,mu+ mu-) -plot dDELTAR (mu+ mu-,mu+ mu-) -plot dvDELTAR (mu+ mu-,mu+ mu-) -plot vdDELTAR (mu+ mu-,mu+ mu-) -plot vETA (mu+ mu-) -plot sETA (mu+ mu-) -plot sdETA (mu+ mu-) -plot dsETA (mu+ mu-) -plot dETA (mu+ mu-) -plot dvETA (mu+ mu-) -plot vdETA (mu+ mu-) -plot rETA (mu+ mu-) -plot THETA (mu+ mu-) -plot vTHETA (mu+ mu-) -plot sTHETA (mu+ mu-) -plot sdTHETA (mu+ mu-) -plot dsTHETA (mu+ mu-) -plot dTHETA (mu+ mu-) -plot dvTHETA (mu+ mu-) -plot vdTHETA (mu+ mu-) -plot rTHETA (mu+ mu-) -plot PHI (mu+ mu-) -plot vPHI (mu+ mu-) -plot sPHI (mu+ mu-) -plot sdPHI (mu+ mu-) -plot dsPHI (mu+ mu-) -plot dPHI (mu+ mu-) -plot dvPHI (mu+ mu-) -plot vdPHI (mu+ mu-) -plot rPHI (mu+ mu-) -plot Y (mu+ mu-) -plot vY (mu+ mu-) -plot sY (mu+ mu-) -plot sdY (mu+ mu-) -plot dsY (mu+ mu-) -plot dY (mu+ mu-) -plot dvY (mu+ mu-) -plot vdY (mu+ mu-) -plot rY (mu+ mu-) -plot BETA (mu+ mu-) -plot vBETA (mu+ mu-) -plot sBETA (mu+ mu-) -plot sdBETA (mu+ mu-) -plot dsBETA (mu+ mu-) -plot dBETA (mu+ mu-) -plot dvBETA (mu+ mu-) -plot vdBETA (mu+ mu-) -plot rBETA (mu+ mu-) -plot GAMMA (mu+ mu-) -plot vGAMMA (mu+ mu-) -plot sGAMMA (mu+ mu-) -plot sdGAMMA (mu+ mu-) -plot dsGAMMA (mu+ mu-) -plot dGAMMA (mu+ mu-) -plot dvGAMMA (mu+ mu-) -plot vdGAMMA (mu+ mu-) -plot rGAMMA (mu+ mu-) -plot N (mu+ mu-) -plot vN (mu+ mu-) -plot sN (mu+ mu-) -plot sdN (mu+ mu-) -plot dsN (mu+ mu-) -plot dN (mu+ mu-) -plot dvN (mu+ mu-) -plot vdN (mu+ mu-) -plot rN (mu+ mu-) - -plot E (mu+ mu) -plot vE (mu+ mu) -plot sE (mu+ mu) -plot sdE (mu+ mu) -plot dsE (mu+ mu) -plot dE (mu+ mu) -plot dvE (mu+ mu) -plot vdE (mu+ mu) -plot rE (mu+ mu) -plot M (mu+ mu) -plot vM (mu+ mu) -plot sM (mu+ mu) -plot sdM (mu+ mu) -plot dsM (mu+ mu) -plot dM (mu+ mu) -plot dvM (mu+ mu) -plot vdM (mu+ mu) -plot rM (mu+ mu) -plot vP (mu+ mu) -plot sP (mu+ mu) -plot sdP (mu+ mu) -plot dsP (mu+ mu) -plot dP (mu+ mu) -plot dvP (mu+ mu) -plot vdP (mu+ mu) -plot rP (mu+ mu) -plot ET (mu+ mu) -plot vET (mu+ mu) -plot sET (mu+ mu) -plot sdET (mu+ mu) -plot dsET (mu+ mu) -plot dET (mu+ mu) -plot dvET (mu+ mu) -plot vdET (mu+ mu) -plot rET (mu+ mu) -plot MT (mu+ mu) -plot vMT (mu+ mu) -plot sMT (mu+ mu) -plot sdMT (mu+ mu) -plot dsMT (mu+ mu) -plot dMT (mu+ mu) -plot dvMT (mu+ mu) -plot vdMT (mu+ mu) -plot rMT (mu+ mu) -plot PT (mu+ mu) -plot vPT (mu+ mu) -plot sPT (mu+ mu) -plot sdPT (mu+ mu) -plot dsPT (mu+ mu) -plot dPT (mu+ mu) -plot dvPT (mu+ mu) -plot vdPT (mu+ mu) -plot rPT (mu+ mu) -plot PX (mu+ mu) -plot vPX (mu+ mu) -plot sPX (mu+ mu) -plot sdPX (mu+ mu) -plot dsPX (mu+ mu) -plot dPX (mu+ mu) -plot dvPX (mu+ mu) -plot vdPX (mu+ mu) -plot rPX (mu+ mu) -plot PY (mu+ mu) -plot vPY (mu+ mu) -plot sPY (mu+ mu) -plot sdPY (mu+ mu) -plot dsPY (mu+ mu) -plot dPY (mu+ mu) -plot dvPY (mu+ mu) -plot vdPY (mu+ mu) -plot rPY (mu+ mu) -plot PZ (mu+ mu) -plot vPZ (mu+ mu) -plot sPZ (mu+ mu) -plot sdPZ (mu+ mu) -plot dsPZ (mu+ mu) -plot dPZ (mu+ mu) -plot dvPZ (mu+ mu) -plot vdPZ (mu+ mu) -plot rPZ (mu+ mu) -plot R (mu+ mu) -plot vR (mu+ mu) -plot sR (mu+ mu) -plot sdR (mu+ mu) -plot dsR (mu+ mu) -plot dR (mu+ mu) -plot dvR (mu+ mu) -plot vdR (mu+ mu) -plot rR (mu+ mu) -plot DELTAR (mu+ mu,mu+ mu) -plot vDELTAR (mu+ mu,mu+ mu) -plot dDELTAR (mu+ mu,mu+ mu) -plot dvDELTAR (mu+ mu,mu+ mu) -plot vdDELTAR (mu+ mu,mu+ mu) -plot ETA (mu+ mu) -plot vETA (mu+ mu) -plot sETA (mu+ mu) -plot sdETA (mu+ mu) -plot dsETA (mu+ mu) -plot dETA (mu+ mu) -plot dvETA (mu+ mu) -plot vdETA (mu+ mu) -plot rETA (mu+ mu) -plot THETA (mu+ mu) -plot vTHETA (mu+ mu) -plot sTHETA (mu+ mu) -plot sdTHETA (mu+ mu) -plot dsTHETA (mu+ mu) -plot dTHETA (mu+ mu) -plot dvTHETA (mu+ mu) -plot vdTHETA (mu+ mu) -plot rTHETA (mu+ mu) -plot PHI (mu+ mu) -plot vPHI (mu+ mu) -plot sPHI (mu+ mu) -plot sdPHI (mu+ mu) -plot dsPHI (mu+ mu) -plot dPHI (mu+ mu) -plot dvPHI (mu+ mu) -plot vdPHI (mu+ mu) -plot rPHI (mu+ mu) -plot Y (mu+ mu) -plot vY (mu+ mu) -plot sY (mu+ mu) -plot sdY (mu+ mu) -plot dsY (mu+ mu) -plot dY (mu+ mu) -plot dvY (mu+ mu) -plot vdY (mu+ mu) -plot rY (mu+ mu) -plot BETA (mu+ mu) -plot vBETA (mu+ mu) -plot sBETA (mu+ mu) -plot sdBETA (mu+ mu) -plot dsBETA (mu+ mu) -plot dBETA (mu+ mu) -plot dvBETA (mu+ mu) -plot vdBETA (mu+ mu) -plot rBETA (mu+ mu) -plot GAMMA (mu+ mu) -plot vGAMMA (mu+ mu) -plot sGAMMA (mu+ mu) -plot sdGAMMA (mu+ mu) -plot dsGAMMA (mu+ mu) -plot dGAMMA (mu+ mu) -plot dvGAMMA (mu+ mu) -plot vdGAMMA (mu+ mu) -plot rGAMMA (mu+ mu) -plot N (mu+ mu) -plot vN (mu+ mu) -plot sN (mu+ mu) -plot sdN (mu+ mu) -plot dsN (mu+ mu) -plot dN (mu+ mu) -plot dvN (mu+ mu) -plot vdN (mu+ mu) -plot rN (mu+ mu) - -plot DELTAR (mu+ mu-,e+) -plot vDELTAR (mu+ mu-,e+) - -plot DELTAR (e+,mu+ mu-) -plot vDELTAR (e+,mu+ mu-) - -# three particle plots - -plot E (mu+ mu- e+) -plot vE (mu+ mu- e+) -plot sE (mu+ mu- e+) -plot M (mu+ mu- e+) -plot vM (mu+ mu- e+) -plot sM (mu+ mu- e+) -plot vP (mu+ mu- e+) -plot sP (mu+ mu- e+) -plot ET (mu+ mu- e+) -plot vET (mu+ mu- e+) -plot sET (mu+ mu- e+) -plot MT (mu+ mu- e+) -plot vMT (mu+ mu- e+) -plot sMT (mu+ mu- e+) -plot PT (mu+ mu- e+) -plot vPT (mu+ mu- e+) -plot sPT (mu+ mu- e+) -plot PX (mu+ mu- e+) -plot vPX (mu+ mu- e+) -plot sPX (mu+ mu- e+) -plot PY (mu+ mu- e+) -plot vPY (mu+ mu- e+) -plot sPY (mu+ mu- e+) -plot PZ (mu+ mu- e+) -plot vPZ (mu+ mu- e+) -plot sPZ (mu+ mu- e+) -plot R (mu+ mu- e+) -plot vR (mu+ mu- e+) -plot sR (mu+ mu- e+) -plot DELTAR (mu+ mu- e+,mu+ mu- e+) -plot vDELTAR (mu+ mu- e+,mu+ mu- e+) -plot ETA (mu+ mu- e+) -plot vETA (mu+ mu- e+) -plot sETA (mu+ mu- e+) -plot THETA (mu+ mu- e+) -plot vTHETA (mu+ mu- e+) -plot sTHETA (mu+ mu- e+) -plot PHI (mu+ mu- e+) -plot vPHI (mu+ mu- e+) -plot sPHI (mu+ mu- e+) -plot Y (mu+ mu- e+) -plot vY (mu+ mu- e+) -plot sY (mu+ mu- e+) -plot BETA (mu+ mu- e+) -plot vBETA (mu+ mu- e+) -plot sBETA (mu+ mu- e+) -plot GAMMA (mu+ mu- e+) -plot vGAMMA (mu+ mu- e+) -plot sGAMMA (mu+ mu- e+) -plot N (mu+ mu- e+) -plot vN (mu+ mu- e+) - -plot E (mu mu e+) -plot vE (mu mu e+) -plot sE (mu mu e+) -plot M (mu mu e+) -plot vM (mu mu e+) -plot sM (mu mu e+) -plot vP (mu mu e+) -plot sP (mu mu e+) -plot ET (mu mu e+) -plot vET (mu mu e+) -plot sET (mu mu e+) -plot MT (mu mu e+) -plot vMT (mu mu e+) -plot sMT (mu mu e+) -plot PT (mu mu e+) -plot vPT (mu mu e+) -plot sPT (mu mu e+) -plot PX (mu mu e+) -plot vPX (mu mu e+) -plot sPX (mu mu e+) -plot vPY (mu mu e+) -plot sPY (mu mu e+) -plot PZ (mu mu e+) -plot vPZ (mu mu e+) -plot sPZ (mu mu e+) -plot R (mu mu e+) -plot vR (mu mu e+) -plot sR (mu mu e+) -plot DELTAR (mu mu e+,mu mu e+) -plot vDELTAR (mu mu e+,mu mu e+) -plot ETA (mu mu e+) -plot vETA (mu mu e+) -plot sETA (mu mu e+) -plot THETA (mu mu e+) -plot vTHETA (mu mu e+) -plot sTHETA (mu mu e+) -plot PHI (mu mu e+) -plot vPHI (mu mu e+) -plot sPHI (mu mu e+) -plot Y (mu mu e+) -plot vY (mu mu e+) -plot sY (mu mu e+) -plot BETA (mu mu e+) -plot vBETA (mu mu e+) -plot sBETA (mu mu e+) -plot GAMMA (mu mu e+) -plot vGAMMA (mu mu e+) -plot sGAMMA (mu mu e+) -plot N (mu mu e+) -plot vN (mu mu e+) -plot sN (mu mu e+) - -plot DELTAR (mu+ mu- e+,e+) -plot vDELTAR (mu+ mu- e+,e+) -plot DELTAR (e+,mu+ mu- e+) -plot vDELTAR (e+,mu+ mu- e+) -plot DELTAR (mu mu e+,e+) -plot vDELTAR (mu mu e+,e+) -plot DELTAR (e+,mu mu e+) -plot vDELTAR (e+,mu mu e+) -plot DELTAR (e+ e+,mu mu e+) -plot vDELTAR (e+ e+,mu mu e+) -plot DELTAR (mu mu e+,e+ e+) -plot vDELTAR (mu mu e+,e+ e+) - -# four particle plots - -plot E (mu+ mu- e+ e-) -plot vE (mu+ mu- e+ e-) -plot sE (mu+ mu- e+ e-) -plot M (mu+ mu- e+ e-) -plot vM (mu+ mu- e+ e-) -plot sM (mu+ mu- e+ e-) -plot vP (mu+ mu- e+ e-) -plot sP (mu+ mu- e+ e-) -plot ET (mu+ mu- e+ e-) -plot vET (mu+ mu- e+ e-) -plot sET (mu+ mu- e+ e-) -plot MT (mu+ mu- e+ e-) -plot vMT (mu+ mu- e+ e-) -plot sMT (mu+ mu- e+ e-) -plot PT (mu+ mu- e+ e-) -plot vPT (mu+ mu- e+ e-) -plot sPT (mu+ mu- e+ e-) -plot PX (mu+ mu- e+ e-) -plot vPX (mu+ mu- e+ e-) -plot sPX (mu+ mu- e+ e-) -plot PY (mu+ mu- e+ e-) -plot vPY (mu+ mu- e+ e-) -plot sPY (mu+ mu- e+ e-) -plot PZ (mu+ mu- e+ e-) -plot vPZ (mu+ mu- e+ e-) -plot sPZ (mu+ mu- e+ e-) -plot R (mu+ mu- e+ e-) -plot vR (mu+ mu- e+ e-) -plot sR (mu+ mu- e+ e-) -plot DELTAR (mu+ mu- e+ e-,mu+ mu- e+ e-) -plot vDELTAR (mu+ mu- e+ e-,mu+ mu- e+ e-) -plot ETA (mu+ mu- e+ e-) -plot vETA (mu+ mu- e+ e-) -plot sETA (mu+ mu- e+ e-) -plot THETA (mu+ mu- e+ e-) -plot vTHETA (mu+ mu- e+ e-) -plot sTHETA (mu+ mu- e+ e-) -plot PHI (mu+ mu- e+ e-) -plot vPHI (mu+ mu- e+ e-) -plot sPHI (mu+ mu- e+ e-) -plot Y (mu+ mu- e+ e-) -plot vY (mu+ mu- e+ e-) -plot sY (mu+ mu- e+ e-) -plot BETA (mu+ mu- e+ e-) -plot vBETA (mu+ mu- e+ e-) -plot sBETA (mu+ mu- e+ e-) -plot GAMMA (mu+ mu- e+ e-) -plot vGAMMA (mu+ mu- e+ e-) -plot sGAMMA (mu+ mu- e+ e-) -plot N (mu+ mu- e+ e-) -plot vN (mu+ mu- e+ e-) - -plot E (mu mu e+ e-) -plot vE (mu mu e+ e-) -plot sE (mu mu e+ e-) -plot M (mu mu e+ e-) -plot vM (mu mu e+ e-) -plot sM (mu mu e+ e-) -plot vP (mu mu e+ e-) -plot sP (mu mu e+ e-) -plot ET (mu mu e+ e-) -plot vET (mu mu e+ e-) -plot sET (mu mu e+ e-) -plot MT (mu mu e+ e-) -plot vMT (mu mu e+ e-) -plot sMT (mu mu e+ e-) -plot PT (mu mu e+ e-) -plot vPT (mu mu e+ e-) -plot sPT (mu mu e+ e-) -plot PX (mu mu e+ e-) -plot vPX (mu mu e+ e-) -plot sPX (mu mu e+ e-) -plot vPY (mu mu e+ e-) -plot sPY (mu mu e+ e-) -plot PZ (mu mu e+ e-) -plot vPZ (mu mu e+ e-) -plot sPZ (mu mu e+ e-) -plot R (mu mu e+ e-) -plot vR (mu mu e+ e-) -plot sR (mu mu e+ e-) -plot DELTAR (mu mu e+ e-,mu mu e+ e-) -plot vDELTAR (mu mu e+ e-,mu mu e+ e-) -plot ETA (mu mu e+ e-) -plot vETA (mu mu e+ e-) -plot sETA (mu mu e+ e-) -plot THETA (mu mu e+ e-) -plot vTHETA (mu mu e+ e-) -plot sTHETA (mu mu e+ e-) -plot PHI (mu mu e+ e-) -plot vPHI (mu mu e+ e-) -plot sPHI (mu mu e+ e-) -plot Y (mu mu e+ e-) -plot vY (mu mu e+ e-) -plot sY (mu mu e+ e-) -plot BETA (mu mu e+ e-) -plot vBETA (mu mu e+ e-) -plot sBETA (mu mu e+ e-) -plot GAMMA (mu mu e+ e-) -plot vGAMMA (mu mu e+ e-) -plot sGAMMA (mu mu e+ e-) -plot N (mu mu e+ e-) -plot vN (mu mu e+ e-) -plot sN (mu mu e+ e-) - -plot DELTAR (mu+ mu- e+ e-,e+ e-) -plot vDELTAR (mu+ mu- e+ e-,e+ e-) -plot DELTAR (e+ e-,mu+ mu- e+ e-) -plot vDELTAR (e+ e-,mu+ mu- e+ e-) -plot DELTAR (mu mu e+ e-,e+ e-) -plot vDELTAR (mu mu e+ e-,e+ e-) -plot DELTAR (e+ e-,mu mu e+ e-) -plot vDELTAR (e+ e-,mu mu e+ e-) -plot DELTAR (e+ e- e+ e-,mu mu e+ e-) -plot vDELTAR (e+ e- e+ e-,mu mu e+ e-) -plot DELTAR (mu mu e+ e-,e+ e- e+ e-) -plot vDELTAR (mu mu e+ e-,e+ e- e+ e-) - -# multiparticle plots - -plot E (all mu+) -plot vE (all mu+) -plot sE (all mu+) -plot M (all mu+) -plot vM (all mu+) -plot sM (all mu+) -plot vP (all mu+) -plot sP (all mu+) -plot ET (all mu+) -plot vET (all mu+) -plot sET (all mu+) -plot MT (all mu+) -plot vMT (all mu+) -plot sMT (all mu+) -plot PT (all mu+) -plot vPT (all mu+) -plot sPT (all mu+) -plot PX (all mu+) -plot vPX (all mu+) -plot sPX (all mu+) -plot PY (all mu+) -plot vPY (all mu+) -plot sPY (all mu+) -plot PZ (all mu+) -plot vPZ (all mu+) -plot sPZ (all mu+) -plot R (all mu+) -plot vR (all mu+) -plot sR (all mu+) -plot DELTAR (all mu+,all mu+) -plot vDELTAR (all mu+,all mu+) -plot ETA (all mu+) -plot vETA (all mu+) -plot sETA (all mu+) -plot THETA (all mu+) -plot vTHETA (all mu+) -plot sTHETA (all mu+) -plot PHI (all mu+) -plot vPHI (all mu+) -plot sPHI (all mu+) -plot Y (all mu+) -plot vY (all mu+) -plot sY (all mu+) -plot BETA (all mu+) -plot vBETA (all mu+) -plot sBETA (all mu+) -plot GAMMA (all mu+) -plot vGAMMA (all mu+) -plot sGAMMA (all mu+) -plot N (all mu+) -plot vN (all mu+) - -plot E (all mu) -plot vE (all mu) -plot sE (all mu) -plot M (all mu) -plot vM (all mu) -plot sM (all mu) -plot vP (all mu) -plot sP (all mu) -plot ET (all mu) -plot vET (all mu) -plot sET (all mu) -plot MT (all mu) -plot vMT (all mu) -plot sMT (all mu) -plot PT (all mu) -plot vPT (all mu) -plot sPT (all mu) -plot PX (all mu) -plot vPX (all mu) -plot sPX (all mu) -plot vPY (all mu) -plot sPY (all mu) -plot PZ (all mu) -plot vPZ (all mu) -plot sPZ (all mu) -plot R (all mu) -plot vR (all mu) -plot sR (all mu) -plot DELTAR (all mu,all mu) -plot vDELTAR (all mu,all mu) -plot ETA (all mu) -plot vETA (all mu) -plot sETA (all mu) -plot THETA (all mu) -plot vTHETA (all mu) -plot sTHETA (all mu) -plot PHI (all mu) -plot vPHI (all mu) -plot sPHI (all mu) -plot Y (all mu) -plot vY (all mu) -plot sY (all mu) -plot BETA (all mu) -plot vBETA (all mu) -plot sBETA (all mu) -plot GAMMA (all mu) -plot vGAMMA (all mu) -plot sGAMMA (all mu) -plot N (all mu) -plot vN (all mu) -plot sN (all mu) - -plot DELTAR (all mu+,e+) -plot vDELTAR (all mu+,e+) - -plot DELTAR (e+,all mu+) -plot vDELTAR (e+,all mu+) - -import $MA5PATH/samples/*hep* -import $MA5PATH/samples/*hepmc* -submit - -# test resubmit - -plot PT (mu) -select PT (e+) > 3.0 -reject (mu+) ETA > 1.5 -resubmit \ No newline at end of file diff --git a/validation/src/ma5_validation/ma5_scripts/pad_interface/pad_interface.ma5 b/validation/src/ma5_validation/ma5_scripts/pad_interface/pad_interface.ma5 deleted file mode 100644 index 4514ef54..00000000 --- a/validation/src/ma5_validation/ma5_scripts/pad_interface/pad_interface.ma5 +++ /dev/null @@ -1,15 +0,0 @@ -#TITLE Validate PAD Interface: PAD & PADForSFS -#MODE RECO - -set main.recast = on -import $MA5PATH/samples/*hepmc* as smp -set smp.xsection = 123. -set smp.scale_up_variation = 0.2 -set smp.scale_down_variation = 0.15 -set smp.pdf_down_variation = 0.3 -set smp.pdf_up_variation = 0.25 -set main.recast.add.extrapolated_luminosity = 300 3000 -set main.recast.add.systematics = 0.2 0.3 -set main.recast.add.systematics = 0.15 0.35 - -submit diff --git a/validation/src/ma5_validation/ma5_scripts/parton_level/plot_observables.ma5 b/validation/src/ma5_validation/ma5_scripts/parton_level/plot_observables.ma5 deleted file mode 100644 index 0dcaf519..00000000 --- a/validation/src/ma5_validation/ma5_scripts/parton_level/plot_observables.ma5 +++ /dev/null @@ -1,891 +0,0 @@ -#TITLE Testing plotting module in parton level -#MODE PARTON - -plot SQRTS -plot TET -plot MET -plot THT -plot MHT -plot NPID -plot NAPID - -define mu = mu+ mu- - -plot E (mu+) -plot vE (mu+) -plot sE (mu+) -plot M (mu+) -plot vM (mu+) -plot sM (mu+) -plot vP (mu+) -plot sP (mu+) -plot ET (mu+) -plot vET (mu+) -plot sET (mu+) -plot MT (mu+) -plot vMT (mu+) -plot sMT (mu+) -plot PT (mu+) -plot vPT (mu+) -plot sPT (mu+) -plot PX (mu+) -plot vPX (mu+) -plot sPX (mu+) -plot PY (mu+) -plot vPY (mu+) -plot sPY (mu+) -plot PZ (mu+) -plot vPZ (mu+) -plot sPZ (mu+) -plot R (mu+) -plot vR (mu+) -plot sR (mu+) -plot DELTAR (mu+,mu+) -plot vDELTAR (mu+,mu+) -plot ETA (mu+) -plot vETA (mu+) -plot sETA (mu+) -plot THETA (mu+) -plot vTHETA (mu+) -plot sTHETA (mu+) -plot PHI (mu+) -plot vPHI (mu+) -plot sPHI (mu+) -plot Y (mu+) -plot vY (mu+) -plot sY (mu+) -plot BETA (mu+) -plot vBETA (mu+) -plot sBETA (mu+) -plot GAMMA (mu+) -plot vGAMMA (mu+) -plot sGAMMA (mu+) -plot N (mu+) -plot vN (mu+) - -plot E (mu) -plot vE (mu) -plot sE (mu) -plot M (mu) -plot vM (mu) -plot sM (mu) -plot vP (mu) -plot sP (mu) -plot ET (mu) -plot vET (mu) -plot sET (mu) -plot MT (mu) -plot vMT (mu) -plot sMT (mu) -plot PT (mu) -plot vPT (mu) -plot sPT (mu) -plot PX (mu) -plot vPX (mu) -plot sPX (mu) -plot vPY (mu) -plot sPY (mu) -plot PZ (mu) -plot vPZ (mu) -plot sPZ (mu) -plot R (mu) -plot vR (mu) -plot sR (mu) -plot DELTAR (mu,mu) -plot vDELTAR (mu,mu) -plot ETA (mu) -plot vETA (mu) -plot sETA (mu) -plot THETA (mu) -plot vTHETA (mu) -plot sTHETA (mu) -plot PHI (mu) -plot vPHI (mu) -plot sPHI (mu) -plot Y (mu) -plot vY (mu) -plot sY (mu) -plot BETA (mu) -plot vBETA (mu) -plot sBETA (mu) -plot GAMMA (mu) -plot vGAMMA (mu) -plot sGAMMA (mu) -plot N (mu) -plot vN (mu) -plot sN (mu) - -plot DELTAR (mu+,j) -plot vDELTAR (mu+,j) - -plot DELTAR (j,mu+) -plot vDELTAR (j,mu+) - -plot E (mu+ mu-) -plot vE (mu+ mu-) -plot sE (mu+ mu-) -plot sdE (mu+ mu-) -plot dsE (mu+ mu-) -plot dE (mu+ mu-) -plot dvE (mu+ mu-) -plot vdE (mu+ mu-) -plot rE (mu+ mu-) -plot M (mu+ mu-) -plot vM (mu+ mu-) -plot sM (mu+ mu-) -plot sdM (mu+ mu-) -plot dsM (mu+ mu-) -plot dM (mu+ mu-) -plot dvM (mu+ mu-) -plot vdM (mu+ mu-) -plot rM (mu+ mu-) -plot vP (mu+ mu-) -plot sP (mu+ mu-) -plot sdP (mu+ mu-) -plot dsP (mu+ mu-) -plot dP (mu+ mu-) -plot dvP (mu+ mu-) -plot vdP (mu+ mu-) -plot rP (mu+ mu-) -plot ET (mu+ mu-) -plot vET (mu+ mu-) -plot sET (mu+ mu-) -plot sdET (mu+ mu-) -plot dsET (mu+ mu-) -plot dET (mu+ mu-) -plot dvET (mu+ mu-) -plot vdET (mu+ mu-) -plot rET (mu+ mu-) -plot MT (mu+ mu-) -plot vMT (mu+ mu-) -plot sMT (mu+ mu-) -plot sdMT (mu+ mu-) -plot dsMT (mu+ mu-) -plot dMT (mu+ mu-) -plot dvMT (mu+ mu-) -plot vdMT (mu+ mu-) -plot rMT (mu+ mu-) -plot PT (mu+ mu-) -plot vPT (mu+ mu-) -plot sPT (mu+ mu-) -plot sdPT (mu+ mu-) -plot dsPT (mu+ mu-) -plot dPT (mu+ mu-) -plot dvPT (mu+ mu-) -plot vdPT (mu+ mu-) -plot rPT (mu+ mu-) -plot PX (mu+ mu-) -plot vPX (mu+ mu-) -plot sPX (mu+ mu-) -plot sdPX (mu+ mu-) -plot dsPX (mu+ mu-) -plot dPX (mu+ mu-) -plot dvPX (mu+ mu-) -plot vdPX (mu+ mu-) -plot rPX (mu+ mu-) -plot PY (mu+ mu-) -plot vPY (mu+ mu-) -plot sPY (mu+ mu-) -plot sdPY (mu+ mu-) -plot dsPY (mu+ mu-) -plot dPY (mu+ mu-) -plot dvPY (mu+ mu-) -plot vdPY (mu+ mu-) -plot rPY (mu+ mu-) -plot PZ (mu+ mu-) -plot vPZ (mu+ mu-) -plot sPZ (mu+ mu-) -plot sdPZ (mu+ mu-) -plot dsPZ (mu+ mu-) -plot dPZ (mu+ mu-) -plot dvPZ (mu+ mu-) -plot vdPZ (mu+ mu-) -plot rPZ (mu+ mu-) -plot R (mu+ mu-) -plot vR (mu+ mu-) -plot sR (mu+ mu-) -plot sdR (mu+ mu-) -plot dsR (mu+ mu-) -plot dR (mu+ mu-) -plot dvR (mu+ mu-) -plot vdR (mu+ mu-) -plot rR (mu+ mu-) -plot DELTAR (mu+ mu-,mu+ mu-) -plot vDELTAR (mu+ mu-,mu+ mu-) -plot dDELTAR (mu+ mu-,mu+ mu-) -plot dvDELTAR (mu+ mu-,mu+ mu-) -plot vdDELTAR (mu+ mu-,mu+ mu-) -plot ETA (mu+ mu-) -plot vETA (mu+ mu-) -plot sETA (mu+ mu-) -plot sdETA (mu+ mu-) -plot dsETA (mu+ mu-) -plot dETA (mu+ mu-) -plot dvETA (mu+ mu-) -plot vdETA (mu+ mu-) -plot rETA (mu+ mu-) -plot THETA (mu+ mu-) -plot vTHETA (mu+ mu-) -plot sTHETA (mu+ mu-) -plot sdTHETA (mu+ mu-) -plot dsTHETA (mu+ mu-) -plot dTHETA (mu+ mu-) -plot dvTHETA (mu+ mu-) -plot vdTHETA (mu+ mu-) -plot rTHETA (mu+ mu-) -plot PHI (mu+ mu-) -plot vPHI (mu+ mu-) -plot sPHI (mu+ mu-) -plot sdPHI (mu+ mu-) -plot dsPHI (mu+ mu-) -plot dPHI (mu+ mu-) -plot dvPHI (mu+ mu-) -plot vdPHI (mu+ mu-) -plot rPHI (mu+ mu-) -plot Y (mu+ mu-) -plot vY (mu+ mu-) -plot sY (mu+ mu-) -plot sdY (mu+ mu-) -plot dsY (mu+ mu-) -plot dY (mu+ mu-) -plot dvY (mu+ mu-) -plot vdY (mu+ mu-) -plot rY (mu+ mu-) -plot BETA (mu+ mu-) -plot vBETA (mu+ mu-) -plot sBETA (mu+ mu-) -plot sdBETA (mu+ mu-) -plot dsBETA (mu+ mu-) -plot dBETA (mu+ mu-) -plot dvBETA (mu+ mu-) -plot vdBETA (mu+ mu-) -plot rBETA (mu+ mu-) -plot GAMMA (mu+ mu-) -plot vGAMMA (mu+ mu-) -plot sGAMMA (mu+ mu-) -plot sdGAMMA (mu+ mu-) -plot dsGAMMA (mu+ mu-) -plot dGAMMA (mu+ mu-) -plot dvGAMMA (mu+ mu-) -plot vdGAMMA (mu+ mu-) -plot rGAMMA (mu+ mu-) -plot N (mu+ mu-) -plot vN (mu+ mu-) -plot sN (mu+ mu-) -plot sdN (mu+ mu-) -plot dsN (mu+ mu-) -plot dN (mu+ mu-) -plot dvN (mu+ mu-) -plot vdN (mu+ mu-) -plot rN (mu+ mu-) - -plot E (mu+ mu) -plot vE (mu+ mu) -plot sE (mu+ mu) -plot sdE (mu+ mu) -plot dsE (mu+ mu) -plot dE (mu+ mu) -plot dvE (mu+ mu) -plot vdE (mu+ mu) -plot rE (mu+ mu) -plot M (mu+ mu) -plot vM (mu+ mu) -plot sM (mu+ mu) -plot sdM (mu+ mu) -plot dsM (mu+ mu) -plot dM (mu+ mu) -plot dvM (mu+ mu) -plot vdM (mu+ mu) -plot rM (mu+ mu) -plot vP (mu+ mu) -plot sP (mu+ mu) -plot sdP (mu+ mu) -plot dsP (mu+ mu) -plot dP (mu+ mu) -plot dvP (mu+ mu) -plot vdP (mu+ mu) -plot rP (mu+ mu) -plot ET (mu+ mu) -plot vET (mu+ mu) -plot sET (mu+ mu) -plot sdET (mu+ mu) -plot dsET (mu+ mu) -plot dET (mu+ mu) -plot dvET (mu+ mu) -plot vdET (mu+ mu) -plot rET (mu+ mu) -plot MT (mu+ mu) -plot vMT (mu+ mu) -plot sMT (mu+ mu) -plot sdMT (mu+ mu) -plot dsMT (mu+ mu) -plot dMT (mu+ mu) -plot dvMT (mu+ mu) -plot vdMT (mu+ mu) -plot rMT (mu+ mu) -plot PT (mu+ mu) -plot vPT (mu+ mu) -plot sPT (mu+ mu) -plot sdPT (mu+ mu) -plot dsPT (mu+ mu) -plot dPT (mu+ mu) -plot dvPT (mu+ mu) -plot vdPT (mu+ mu) -plot rPT (mu+ mu) -plot PX (mu+ mu) -plot vPX (mu+ mu) -plot sPX (mu+ mu) -plot sdPX (mu+ mu) -plot dsPX (mu+ mu) -plot dPX (mu+ mu) -plot dvPX (mu+ mu) -plot vdPX (mu+ mu) -plot rPX (mu+ mu) -plot PY (mu+ mu) -plot vPY (mu+ mu) -plot sPY (mu+ mu) -plot sdPY (mu+ mu) -plot dsPY (mu+ mu) -plot dPY (mu+ mu) -plot dvPY (mu+ mu) -plot vdPY (mu+ mu) -plot rPY (mu+ mu) -plot PZ (mu+ mu) -plot vPZ (mu+ mu) -plot sPZ (mu+ mu) -plot sdPZ (mu+ mu) -plot dsPZ (mu+ mu) -plot dPZ (mu+ mu) -plot dvPZ (mu+ mu) -plot vdPZ (mu+ mu) -plot rPZ (mu+ mu) -plot R (mu+ mu) -plot vR (mu+ mu) -plot sR (mu+ mu) -plot sdR (mu+ mu) -plot dsR (mu+ mu) -plot dR (mu+ mu) -plot dvR (mu+ mu) -plot vdR (mu+ mu) -plot rR (mu+ mu) -plot DELTAR (mu+ mu,mu+ mu) -plot vDELTAR (mu+ mu,mu+ mu) -plot dDELTAR (mu+ mu,mu+ mu) -plot dvDELTAR (mu+ mu,mu+ mu) -plot vdDELTAR (mu+ mu,mu+ mu) -plot ETA (mu+ mu) -plot vETA (mu+ mu) -plot sETA (mu+ mu) -plot sdETA (mu+ mu) -plot dsETA (mu+ mu) -plot dETA (mu+ mu) -plot dvETA (mu+ mu) -plot vdETA (mu+ mu) -plot rETA (mu+ mu) -plot THETA (mu+ mu) -plot vTHETA (mu+ mu) -plot sTHETA (mu+ mu) -plot sdTHETA (mu+ mu) -plot dsTHETA (mu+ mu) -plot dTHETA (mu+ mu) -plot dvTHETA (mu+ mu) -plot vdTHETA (mu+ mu) -plot rTHETA (mu+ mu) -plot PHI (mu+ mu) -plot vPHI (mu+ mu) -plot sPHI (mu+ mu) -plot sdPHI (mu+ mu) -plot dsPHI (mu+ mu) -plot dPHI (mu+ mu) -plot dvPHI (mu+ mu) -plot vdPHI (mu+ mu) -plot rPHI (mu+ mu) -plot Y (mu+ mu) -plot vY (mu+ mu) -plot sY (mu+ mu) -plot sdY (mu+ mu) -plot dsY (mu+ mu) -plot dY (mu+ mu) -plot dvY (mu+ mu) -plot vdY (mu+ mu) -plot rY (mu+ mu) -plot BETA (mu+ mu) -plot vBETA (mu+ mu) -plot sBETA (mu+ mu) -plot sdBETA (mu+ mu) -plot dsBETA (mu+ mu) -plot dBETA (mu+ mu) -plot dvBETA (mu+ mu) -plot vdBETA (mu+ mu) -plot rBETA (mu+ mu) -plot GAMMA (mu+ mu) -plot vGAMMA (mu+ mu) -plot sGAMMA (mu+ mu) -plot sdGAMMA (mu+ mu) -plot dsGAMMA (mu+ mu) -plot dGAMMA (mu+ mu) -plot dvGAMMA (mu+ mu) -plot vdGAMMA (mu+ mu) -plot rGAMMA (mu+ mu) -plot N (mu+ mu) -plot vN (mu+ mu) -plot sN (mu+ mu) -plot sdN (mu+ mu) -plot dsN (mu+ mu) -plot dN (mu+ mu) -plot dvN (mu+ mu) -plot vdN (mu+ mu) -plot rN (mu+ mu) - -plot DELTAR (mu+ mu-,j) -plot vDELTAR (mu+ mu-,j) - -plot DELTAR (j,mu+ mu-) -plot vDELTAR (j,mu+ mu-) - -plot E (mu+ mu- e+) -plot vE (mu+ mu- e+) -plot sE (mu+ mu- e+) -plot M (mu+ mu- e+) -plot vM (mu+ mu- e+) -plot sM (mu+ mu- e+) -plot vP (mu+ mu- e+) -plot sP (mu+ mu- e+) -plot ET (mu+ mu- e+) -plot vET (mu+ mu- e+) -plot sET (mu+ mu- e+) -plot MT (mu+ mu- e+) -plot vMT (mu+ mu- e+) -plot sMT (mu+ mu- e+) -plot PT (mu+ mu- e+) -plot vPT (mu+ mu- e+) -plot sPT (mu+ mu- e+) -plot PX (mu+ mu- e+) -plot vPX (mu+ mu- e+) -plot sPX (mu+ mu- e+) -plot PY (mu+ mu- e+) -plot vPY (mu+ mu- e+) -plot sPY (mu+ mu- e+) -plot PZ (mu+ mu- e+) -plot vPZ (mu+ mu- e+) -plot sPZ (mu+ mu- e+) -plot R (mu+ mu- e+) -plot vR (mu+ mu- e+) -plot sR (mu+ mu- e+) -plot DELTAR (mu+ mu- e+,mu+ mu- e+) -plot vDELTAR (mu+ mu- e+,mu+ mu- e+) -plot ETA (mu+ mu- e+) -plot vETA (mu+ mu- e+) -plot sETA (mu+ mu- e+) -plot THETA (mu+ mu- e+) -plot vTHETA (mu+ mu- e+) -plot sTHETA (mu+ mu- e+) -plot PHI (mu+ mu- e+) -plot vPHI (mu+ mu- e+) -plot sPHI (mu+ mu- e+) -plot Y (mu+ mu- e+) -plot vY (mu+ mu- e+) -plot sY (mu+ mu- e+) -plot BETA (mu+ mu- e+) -plot vBETA (mu+ mu- e+) -plot sBETA (mu+ mu- e+) -plot GAMMA (mu+ mu- e+) -plot vGAMMA (mu+ mu- e+) -plot sGAMMA (mu+ mu- e+) -plot N (mu+ mu- e+) -plot vN (mu+ mu- e+) - -plot E (mu mu e+) -plot vE (mu mu e+) -plot sE (mu mu e+) -plot M (mu mu e+) -plot vM (mu mu e+) -plot sM (mu mu e+) -plot vP (mu mu e+) -plot sP (mu mu e+) -plot ET (mu mu e+) -plot vET (mu mu e+) -plot sET (mu mu e+) -plot MT (mu mu e+) -plot vMT (mu mu e+) -plot sMT (mu mu e+) -plot PT (mu mu e+) -plot vPT (mu mu e+) -plot sPT (mu mu e+) -plot PX (mu mu e+) -plot vPX (mu mu e+) -plot sPX (mu mu e+) -plot vPY (mu mu e+) -plot sPY (mu mu e+) -plot PZ (mu mu e+) -plot vPZ (mu mu e+) -plot sPZ (mu mu e+) -plot R (mu mu e+) -plot vR (mu mu e+) -plot sR (mu mu e+) -plot DELTAR (mu mu e+,mu mu e+) -plot vDELTAR (mu mu e+,mu mu e+) -plot ETA (mu mu e+) -plot vETA (mu mu e+) -plot sETA (mu mu e+) -plot THETA (mu mu e+) -plot vTHETA (mu mu e+) -plot sTHETA (mu mu e+) -plot PHI (mu mu e+) -plot vPHI (mu mu e+) -plot sPHI (mu mu e+) -plot Y (mu mu e+) -plot vY (mu mu e+) -plot sY (mu mu e+) -plot BETA (mu mu e+) -plot vBETA (mu mu e+) -plot sBETA (mu mu e+) -plot GAMMA (mu mu e+) -plot vGAMMA (mu mu e+) -plot sGAMMA (mu mu e+) -plot N (mu mu e+) -plot vN (mu mu e+) -plot sN (mu mu e+) - -plot DELTAR (mu+ mu- e+,j) -plot vDELTAR (mu+ mu- e+,j) -plot DELTAR (j,mu+ mu- e+) -plot vDELTAR (j,mu+ mu- e+) -plot DELTAR (mu mu e+,j) -plot vDELTAR (mu mu e+,j) -plot DELTAR (j,mu mu e+) -plot vDELTAR (j,mu mu e+) -plot DELTAR (j j,mu mu e+) -plot vDELTAR (j j,mu mu e+) -plot DELTAR (mu mu e+,j j) -plot vDELTAR (mu mu e+,j j) - -plot E (mu+ mu- e+ e-) -plot vE (mu+ mu- e+ e-) -plot sE (mu+ mu- e+ e-) -plot M (mu+ mu- e+ e-) -plot vM (mu+ mu- e+ e-) -plot sM (mu+ mu- e+ e-) -plot vP (mu+ mu- e+ e-) -plot sP (mu+ mu- e+ e-) -plot ET (mu+ mu- e+ e-) -plot vET (mu+ mu- e+ e-) -plot sET (mu+ mu- e+ e-) -plot MT (mu+ mu- e+ e-) -plot vMT (mu+ mu- e+ e-) -plot sMT (mu+ mu- e+ e-) -plot PT (mu+ mu- e+ e-) -plot vPT (mu+ mu- e+ e-) -plot sPT (mu+ mu- e+ e-) -plot PX (mu+ mu- e+ e-) -plot vPX (mu+ mu- e+ e-) -plot sPX (mu+ mu- e+ e-) -plot PY (mu+ mu- e+ e-) -plot vPY (mu+ mu- e+ e-) -plot sPY (mu+ mu- e+ e-) -plot PZ (mu+ mu- e+ e-) -plot vPZ (mu+ mu- e+ e-) -plot sPZ (mu+ mu- e+ e-) -plot R (mu+ mu- e+ e-) -plot vR (mu+ mu- e+ e-) -plot sR (mu+ mu- e+ e-) -plot DELTAR (mu+ mu- e+ e-,mu+ mu- e+ e-) -plot vDELTAR (mu+ mu- e+ e-,mu+ mu- e+ e-) -plot ETA (mu+ mu- e+ e-) -plot vETA (mu+ mu- e+ e-) -plot sETA (mu+ mu- e+ e-) -plot THETA (mu+ mu- e+ e-) -plot vTHETA (mu+ mu- e+ e-) -plot sTHETA (mu+ mu- e+ e-) -plot PHI (mu+ mu- e+ e-) -plot vPHI (mu+ mu- e+ e-) -plot sPHI (mu+ mu- e+ e-) -plot Y (mu+ mu- e+ e-) -plot vY (mu+ mu- e+ e-) -plot sY (mu+ mu- e+ e-) -plot BETA (mu+ mu- e+ e-) -plot vBETA (mu+ mu- e+ e-) -plot sBETA (mu+ mu- e+ e-) -plot GAMMA (mu+ mu- e+ e-) -plot vGAMMA (mu+ mu- e+ e-) -plot sGAMMA (mu+ mu- e+ e-) -plot N (mu+ mu- e+ e-) -plot vN (mu+ mu- e+ e-) - -plot E (mu mu e+ e-) -plot vE (mu mu e+ e-) -plot sE (mu mu e+ e-) -plot M (mu mu e+ e-) -plot vM (mu mu e+ e-) -plot sM (mu mu e+ e-) -plot vP (mu mu e+ e-) -plot sP (mu mu e+ e-) -plot ET (mu mu e+ e-) -plot vET (mu mu e+ e-) -plot sET (mu mu e+ e-) -plot MT (mu mu e+ e-) -plot vMT (mu mu e+ e-) -plot sMT (mu mu e+ e-) -plot PT (mu mu e+ e-) -plot vPT (mu mu e+ e-) -plot sPT (mu mu e+ e-) -plot PX (mu mu e+ e-) -plot vPX (mu mu e+ e-) -plot sPX (mu mu e+ e-) -plot vPY (mu mu e+ e-) -plot sPY (mu mu e+ e-) -plot PZ (mu mu e+ e-) -plot vPZ (mu mu e+ e-) -plot sPZ (mu mu e+ e-) -plot R (mu mu e+ e-) -plot vR (mu mu e+ e-) -plot sR (mu mu e+ e-) -plot DELTAR (mu mu e+ e-,mu mu e+ e-) -plot vDELTAR (mu mu e+ e-,mu mu e+ e-) -plot ETA (mu mu e+ e-) -plot vETA (mu mu e+ e-) -plot sETA (mu mu e+ e-) -plot THETA (mu mu e+ e-) -plot vTHETA (mu mu e+ e-) -plot sTHETA (mu mu e+ e-) -plot PHI (mu mu e+ e-) -plot vPHI (mu mu e+ e-) -plot sPHI (mu mu e+ e-) -plot Y (mu mu e+ e-) -plot vY (mu mu e+ e-) -plot sY (mu mu e+ e-) -plot BETA (mu mu e+ e-) -plot vBETA (mu mu e+ e-) -plot sBETA (mu mu e+ e-) -plot GAMMA (mu mu e+ e-) -plot vGAMMA (mu mu e+ e-) -plot sGAMMA (mu mu e+ e-) -plot N (mu mu e+ e-) -plot vN (mu mu e+ e-) -plot sN (mu mu e+ e-) - -plot DELTAR (mu+ mu- e+ e-,j) -plot vDELTAR (mu+ mu- e+ e-,j) -plot DELTAR (j,mu+ mu- e+ e-) -plot vDELTAR (j,mu+ mu- e+ e-) -plot DELTAR (mu mu e+ e-,j) -plot vDELTAR (mu mu e+ e-,j) -plot DELTAR (j,mu mu e+ e-) -plot vDELTAR (j,mu mu e+ e-) -plot DELTAR (j j,mu mu e+ e-) -plot vDELTAR (j j,mu mu e+ e-) -plot DELTAR (mu mu e+ e-,j j) -plot vDELTAR (mu mu e+ e-,j j) -plot DELTAR (j j j,mu mu e+ e-) -plot vDELTAR (j j j,mu mu e+ e-) -plot DELTAR (mu mu e+ e-,j j j) -plot vDELTAR (mu mu e+ e-,j j j) - -plot E (all mu+) -plot vE (all mu+) -plot sE (all mu+) -plot M (all mu+) -plot vM (all mu+) -plot sM (all mu+) -plot vP (all mu+) -plot sP (all mu+) -plot ET (all mu+) -plot vET (all mu+) -plot sET (all mu+) -plot MT (all mu+) -plot vMT (all mu+) -plot sMT (all mu+) -plot PT (all mu+) -plot vPT (all mu+) -plot sPT (all mu+) -plot PX (all mu+) -plot vPX (all mu+) -plot sPX (all mu+) -plot PY (all mu+) -plot vPY (all mu+) -plot sPY (all mu+) -plot PZ (all mu+) -plot vPZ (all mu+) -plot sPZ (all mu+) -plot R (all mu+) -plot vR (all mu+) -plot sR (all mu+) -plot DELTAR (all mu+,all mu+) -plot vDELTAR (all mu+,all mu+) -plot ETA (all mu+) -plot vETA (all mu+) -plot sETA (all mu+) -plot THETA (all mu+) -plot vTHETA (all mu+) -plot sTHETA (all mu+) -plot PHI (all mu+) -plot vPHI (all mu+) -plot sPHI (all mu+) -plot Y (all mu+) -plot vY (all mu+) -plot sY (all mu+) -plot BETA (all mu+) -plot vBETA (all mu+) -plot sBETA (all mu+) -plot GAMMA (all mu+) -plot vGAMMA (all mu+) -plot sGAMMA (all mu+) -plot N (all mu+) -plot vN (all mu+) - -plot E (all mu) -plot vE (all mu) -plot sE (all mu) -plot M (all mu) -plot vM (all mu) -plot sM (all mu) -plot vP (all mu) -plot sP (all mu) -plot ET (all mu) -plot vET (all mu) -plot sET (all mu) -plot MT (all mu) -plot vMT (all mu) -plot sMT (all mu) -plot PT (all mu) -plot vPT (all mu) -plot sPT (all mu) -plot PX (all mu) -plot vPX (all mu) -plot sPX (all mu) -plot vPY (all mu) -plot sPY (all mu) -plot PZ (all mu) -plot vPZ (all mu) -plot sPZ (all mu) -plot R (all mu) -plot vR (all mu) -plot sR (all mu) -plot DELTAR (all mu,all mu) -plot vDELTAR (all mu,all mu) -plot ETA (all mu) -plot vETA (all mu) -plot sETA (all mu) -plot THETA (all mu) -plot vTHETA (all mu) -plot sTHETA (all mu) -plot PHI (all mu) -plot vPHI (all mu) -plot sPHI (all mu) -plot Y (all mu) -plot vY (all mu) -plot sY (all mu) -plot BETA (all mu) -plot vBETA (all mu) -plot sBETA (all mu) -plot GAMMA (all mu) -plot vGAMMA (all mu) -plot sGAMMA (all mu) -plot N (all mu) -plot vN (all mu) -plot sN (all mu) - -plot DELTAR (all mu+,j) -plot vDELTAR (all mu+,j) - -plot DELTAR (j,all mu+) -plot vDELTAR (j,all mu+) - -display_multiparticles - -define w = w+ w- -plot M (mu- mu- and mu+ mu+) -plot M (mu-[1] mu- and mu+ mu+[2]) -plot M (mu- 2.0 -select 80 < M (mu+ mu-) < 120 - -import $MA5PATH/samples/*lhco* - -submit - -plot PT (j) -select PT (e+) > 3.0 -reject (mu+) ETA > 1.5 - -resubmit \ No newline at end of file diff --git a/validation/src/ma5_validation/system/__init__.py b/validation/src/ma5_validation/system/__init__.py deleted file mode 100644 index 2ca11725..00000000 --- a/validation/src/ma5_validation/system/__init__.py +++ /dev/null @@ -1,17 +0,0 @@ -from .exceptions import ( - InvalidMode, - InvalidScript, - InvalidMadAnalysisPath, - MadAnalysis5Error, - MadAnalysis5ExecutionError, - InvalidSyntax, -) - -__all__ = [ - "InvalidScript", - "InvalidMode", - "InvalidMadAnalysisPath", - "MadAnalysis5Error", - "MadAnalysis5ExecutionError", - "InvalidSyntax", -] diff --git a/validation/src/ma5_validation/system/exceptions.py b/validation/src/ma5_validation/system/exceptions.py deleted file mode 100644 index 19887b29..00000000 --- a/validation/src/ma5_validation/system/exceptions.py +++ /dev/null @@ -1,66 +0,0 @@ -################################################################################ -# -# Copyright (C) 2012-2022 Jack Araz, Eric Conte & Benjamin Fuks -# The MadAnalysis development team, email: -# -# This file is part of MadAnalysis 5. -# Official website: -# -# MadAnalysis 5 is free software: you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation, either version 3 of the License, or -# (at your option) any later version. -# -# MadAnalysis 5 is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with MadAnalysis 5. If not, see -# -################################################################################ - -import warnings - -Red = "\x1b[31m" -End = "\x1b[0m" - - -class InvalidScript(Exception): - """Invalid Script Exception""" - - def __init__(self, message="Invalid Script!"): - super(InvalidScript, self).__init__(Red + message + End) - - -class InvalidMode(Exception): - """Invalid Mode Exception""" - - def __init__(self, message="Invalid mode!"): - super(InvalidMode, self).__init__(Red + message + End) - - -class InvalidMadAnalysisPath(Exception): - """Invalid path for MadAnalysis 5 Package""" - - def __init__(self, message="Invalid MadAnalysis 5 path!"): - super(InvalidMadAnalysisPath, self).__init__(Red + message + End) - - -class MadAnalysis5Error(Exception): - """MadAnalysis 5 Error""" - - def __init__(self, message="MadAnalysis 5 raised an error!"): - super(MadAnalysis5Error, self).__init__(Red + message + End) - - -class MadAnalysis5ExecutionError(Exception): - """MadAnalysis 5 execution has failed""" - - def __init__(self, message="MadAnalysis 5 failed during execution!"): - super(MadAnalysis5ExecutionError, self).__init__(Red + message + End) - - -def InvalidSyntax(message): - warnings.warn(message, SyntaxWarning, stacklevel=2) diff --git a/validation/src/ma5_validation/utils/__init__.py b/validation/src/ma5_validation/utils/__init__.py deleted file mode 100644 index 128ac12d..00000000 --- a/validation/src/ma5_validation/utils/__init__.py +++ /dev/null @@ -1,13 +0,0 @@ -from .script_handler import ScriptReader -from .job_handler import JobHandler -from .path_handler import PathHandler -from .installation_handler import InstallationHandler -from .mode_handler import MA5Mode - -__all__ = [ - "ScriptReader", - "JobHandler", - "PathHandler", - "InstallationHandler", - "MA5Mode", -] diff --git a/validation/src/ma5_validation/utils/installation_handler.py b/validation/src/ma5_validation/utils/installation_handler.py deleted file mode 100644 index bb937f9e..00000000 --- a/validation/src/ma5_validation/utils/installation_handler.py +++ /dev/null @@ -1,56 +0,0 @@ -################################################################################ -# -# Copyright (C) 2012-2022 Jack Araz, Eric Conte & Benjamin Fuks -# The MadAnalysis development team, email: -# -# This file is part of MadAnalysis 5. -# Official website: -# -# MadAnalysis 5 is free software: you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation, either version 3 of the License, or -# (at your option) any later version. -# -# MadAnalysis 5 is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with MadAnalysis 5. If not, see -# -################################################################################ - - -import os -from typing import Text, Sequence, Union - -from ma5_validation.system.exceptions import InvalidMadAnalysisPath -from .path_handler import PathHandler -from .script_handler import ScriptReader - - -class InstallationHandler(ScriptReader): - _installable = [ - "fastjet", - "delphes", - "root", - "PAD", - "PADForSFS", - "PADForMA5Tune", - "samples", - "zlib", - ] - - def __init__(self, packages: Union[Text, Sequence[Text]]): - super(InstallationHandler, self).__init__(name="install") - - if isinstance(packages, str): - packages = [packages] - - self.title = "Package Installation: " + ", ".join(packages) - - self._ma5_commands = [f"#BEGIN\nset main.currentdir = {PathHandler.MA5PATH}\n"] - for package in packages: - if package in InstallationHandler._installable: - self._ma5_commands.append(f"install {package}\n") diff --git a/validation/src/ma5_validation/utils/job_handler.py b/validation/src/ma5_validation/utils/job_handler.py deleted file mode 100644 index 136ab669..00000000 --- a/validation/src/ma5_validation/utils/job_handler.py +++ /dev/null @@ -1,240 +0,0 @@ -################################################################################ -# -# Copyright (C) 2012-2022 Jack Araz, Eric Conte & Benjamin Fuks -# The MadAnalysis development team, email: -# -# This file is part of MadAnalysis 5. -# Official website: -# -# MadAnalysis 5 is free software: you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation, either version 3 of the License, or -# (at your option) any later version. -# -# MadAnalysis 5 is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with MadAnalysis 5. If not, see -# -################################################################################ - - -import os -import shutil -import subprocess -from typing import Text, Sequence, Union - -from ma5_validation.system.exceptions import ( - MadAnalysis5Error, - InvalidSyntax, - MadAnalysis5ExecutionError, -) -from .path_handler import PathHandler -import warnings - -from .script_handler import ScriptReader - - -class JobHandler: - """ - Execute and analyse the MadAnalysis 5 jobs. - - Parameters - ---------- - script : ScriptReader - Parsed madanalysis script to be executed - paths : PathHandler - Validated paths. - debug: bool - Enable or disable debug mode. Default True. - """ - - def __init__(self, script: ScriptReader, paths: PathHandler = None, debug: bool = True): - assert isinstance(script, ScriptReader), f"Unknown input type: {type(script)}" - self.script = script - self.debug = debug - - if paths is None: - self.ma5_path = PathHandler.MA5PATH - self.log_path = PathHandler.LOGPATH - else: - self.ma5_path = paths.MA5PATH - self.log_path = paths.LOGPATH - self.log_file = os.path.join(self.log_path, self.script.name + ".log") - - def write_ma5script(self, commands: Text, name: Text = None) -> None: - """ - Write dedicated MadAnalysis 5 script - Parameters - ---------- - commands : Text - Commands to be executed - name : Text - Name of the script - """ - script_name = os.path.join( - self.log_path, name if name is not None else self.script.name + ".ma5" - ) - with open(script_name, "w") as script: - script.write(commands) - - def __execute_command(self, commands: Sequence[Text], path: Text, **kwargs) -> bool: - """ - Execute a command - - Parameters - ---------- - commands : Sequence[Text] - list of commands - path : Text - path where the execution takes place - kwargs - additional parameters - - Returns - ------- - bool - """ - - print(" ".join(commands)) - result = subprocess.Popen(" ".join(commands), cwd=path, **kwargs) - p_wait = result.wait() - out, err = result.communicate() - - return result.returncode == 0 - - def execute(self) -> bool: - """ - Execute MadAnalysis 5 script - """ - if not self.script.IsExpert: - self.write_ma5script(self.script.commands) - - commands = [ - "./bin/ma5", - "--forced", - "--script", - # "--debug", - self.script.mode_flag(), - os.path.join(self.log_path, self.script.name + ".ma5"), - "&>", - self.log_file, - ] - if self.debug: - commands.insert(3, "--debug") - - print(" * Running MadAnalysis 5: " + self.script.title) - try: - result = self.__execute_command(commands, self.ma5_path, shell=True) - except Exception as err: - log_file = "" - with open(self.log_file, "r", encoding="utf-8") as log: - log_file = log.read() - raise MadAnalysis5ExecutionError( - f"A problem has occured during MadAnalysis 5 execution\n\n{err}\n\n{log_file}" - ) - else: - self.write_ma5script(self.script.commands) - commands = [ - "./bin/ma5", - "--forced", - "--script", - # "--debug", - self.script.mode_flag(), - os.path.join(self.log_path, self.script.name), - self.script.expert_name, - os.path.join(self.log_path, self.script.name + ".ma5"), - "&>", - self.log_file, - ] - - print(" * Running MadAnalysis 5: " + self.script.title) - try: - result = self.__execute_command(commands, self.ma5_path, shell=True) - - if not os.path.isdir(os.path.join(self.log_path, self.script.name)): - raise MadAnalysis5ExecutionError( - f"Expert mode workspace is not created: {os.path.join(self.log_path, self.script.name)}" - ) - - with open( - os.path.join(self.log_path, self.script.name, "Input/_defaultset.list"), "w" - ) as inputs: - inputs.write("\n".join(self.script.sample)) - - # Copy analysis files - for file in [self.script.cpp, self.script.header]: - shutil.copy( - file, - os.path.join( - self.log_path, self.script.name, "Build/SampleAnalyzer/User/Analyzer/" - ), - ) - - # Execute - result = self.__execute_command( - ["source", "setup.sh", "&>", "setup.log" , "&&"] + - ["make", "clean", "all", "&>", "compilation.log", "&&"] + - [ - "./MadAnalysis5job", - os.path.join(self.log_path, self.script.name, "Input/_defaultset.list"), - self.script.command_line, - "&>", - self.log_file, - ], - os.path.join(self.log_path, self.script.name, "Build"), - shell=True, - ) - - except Exception as err: - log_file = "" - with open(self.log_file, "r", encoding="utf-8") as log: - log_file = log.read() - raise MadAnalysis5ExecutionError( - f"A problem has occured during MadAnalysis 5 execution\n\n{err}\n\n{log_file}" - ) - - print(" * Execution completed: " + self.script.title) - return True - - def check(self): - """ - Check the log file for errors - - Raises - ------ - MadAnalysis5Error - If MadAnalysis 5 raised an error during the execution. - """ - beginTag = False - errorTag = False - log_file = None - with open(self.log_file, "r", encoding="utf-8") as log: - for line in log: - # Start from the beginning of the validation script to validate the session instead of the end. - # This will give the ability to check the errors on the python-interface as well - if line.find("ma5>#BEGIN") != -1: - beginTag = True - if not self.script.IsExpert: - if beginTag: - if line.find("ERROR") != -1 or line.find("MA5-ERROR") != -1: - errorTag = True - log_file = log.read() - break - if not beginTag and not self.script.IsExpert: - InvalidSyntax(" * Can not find the beginning of the script.") - - if errorTag: - raise MadAnalysis5Error( - f"MadAnalysis has raised an error. For details, please see: {self.log_file}" - f"\n\n\n{log_file}" - ) - - # TODO: This checker needs an numerical validation as well. Currently it only checks - # if there is a problem with the execution of the scripts i.e. if SampleAnalyzer or python - # interface raises an error. - - return True diff --git a/validation/src/ma5_validation/utils/mode_handler.py b/validation/src/ma5_validation/utils/mode_handler.py deleted file mode 100644 index 2b6bdd46..00000000 --- a/validation/src/ma5_validation/utils/mode_handler.py +++ /dev/null @@ -1,97 +0,0 @@ -################################################################################ -# -# Copyright (C) 2012-2022 Jack Araz, Eric Conte & Benjamin Fuks -# The MadAnalysis development team, email: -# -# This file is part of MadAnalysis 5. -# Official website: -# -# MadAnalysis 5 is free software: you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation, either version 3 of the License, or -# (at your option) any later version. -# -# MadAnalysis 5 is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with MadAnalysis 5. If not, see -# -################################################################################ - -from enum import Enum, auto -from typing import Text - - -class _AutoName(Enum): - def _generate_next_value_(name, start, count, last_values): - return name - - -class MA5Mode(_AutoName): - """ - MadAnalysis 5 mode handler. Available modes are; - - PARTON - HADRON - RECO - RECOFAC - EXPERTRECO - EXPERTHADRON - EXPERTPARTON - EXPERT - - See MadAnalysis 5 packege for details. - """ - - PARTON = auto() - HADRON = auto() - RECO = auto() - RECOFAC = auto() - EXPERTRECO = auto() - EXPERTHADRON = auto() - EXPERTPARTON = auto() - EXPERT = auto() - - @staticmethod - def get_mode(mode: Text): - """ - Get mode indicator - Parameters - ---------- - mode : Text - MadAnalysis 5 mode - - Returns - ------- - Enumerated MadAnalysis Mode - - Raises - ------ - InvalidMode - If an unknown mode has been given. - """ - if mode.upper() not in MA5Mode._member_names_: - raise InvalidMode( - f"Unknown mode: {mode}. Available modes are: " + ", ".join(MA5Mode._member_names_) - ) - - else: - return MA5Mode.__dict__.get(mode.upper(), False) - - @staticmethod - def get_flag(mode): - flags = { - MA5Mode.PARTON: "--partonlevel", - MA5Mode.HADRON: "--hadronlevel", - MA5Mode.RECO: "--recolevel", - MA5Mode.RECOFAC: "--FAC --recolevel", - MA5Mode.EXPERTRECO: "-Re", - MA5Mode.EXPERTHADRON: "--hadronlevel -e", - MA5Mode.EXPERTPARTON: "--partonlevel -e", - MA5Mode.EXPERT: "-e", - } - - return flags.get(mode, " ") diff --git a/validation/src/ma5_validation/utils/path_handler.py b/validation/src/ma5_validation/utils/path_handler.py deleted file mode 100644 index 2273291a..00000000 --- a/validation/src/ma5_validation/utils/path_handler.py +++ /dev/null @@ -1,137 +0,0 @@ -################################################################################ -# -# Copyright (C) 2012-2022 Jack Araz, Eric Conte & Benjamin Fuks -# The MadAnalysis development team, email: -# -# This file is part of MadAnalysis 5. -# Official website: -# -# MadAnalysis 5 is free software: you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation, either version 3 of the License, or -# (at your option) any later version. -# -# MadAnalysis 5 is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with MadAnalysis 5. If not, see -# -################################################################################ - - -import os, sys -from typing import Text - -from ma5_validation.system.exceptions import InvalidMadAnalysisPath - - -class PathHandler: - """ - Class includes all the paths defined within the validation suite - - LOGPATH: Location for the outputs of the validation scripts will be exported. Can be changed - via `PathHandler.set_logpath(PATH)` - MA5PATH: MadAnalysis 5 path. By default the path is the one that hosts validation suite. - Can be changed via `PathHandler.set_ma5path(PATH)`. - MA5_SCRIPTPATH: Main path for the validation scripts. - PARTON_LEVEL_PATH: Main path for the parton level validation scripts. - HADRON_LEVEL_PATH: Main path for the hadron level validation scripts. - RECO_LEVEL_PATH: Main path for the reco level validation scripts. - EXPERT_LEVEL_PATH: Main path for the expert level validation scripts. - FASTJET_INTERFACE_PATH: Main path for the fastjet interface validation scripts. - """ - - # Set defult log path - LOGPATH = os.path.dirname(os.path.realpath(__file__)) - for _ in range(3): - LOGPATH = os.path.split(LOGPATH)[0] - LOGPATH = os.path.join(LOGPATH, "scripts", "log") - if not os.path.isdir(LOGPATH): - os.mkdir(LOGPATH) - - # Default MA5 path - MA5PATH = os.path.dirname(os.path.realpath(__file__)) - for _ in range(4): - MA5PATH = os.path.split(MA5PATH)[0] - - # Sample path - SMP_PATH = os.path.join(MA5PATH, "samples") - - # Main path for the validation scripts - MA5_SCRIPTPATH = os.path.join( - os.path.split(os.path.dirname(os.path.realpath(__file__)))[0], "ma5_scripts" - ) - - # These paths defines the location of the validation scripts - PARTON_LEVEL_PATH = os.path.join(MA5_SCRIPTPATH, "parton_level") - HADRON_LEVEL_PATH = os.path.join(MA5_SCRIPTPATH, "hadron_level") - RECO_LEVEL_PATH = os.path.join(MA5_SCRIPTPATH, "reco_level") - EXPERT_LEVEL_PATH = os.path.join(MA5_SCRIPTPATH, "expert_level") - FASTJET_INTERFACE_PATH = os.path.join(MA5_SCRIPTPATH, "fastjet_interface") - DELPHES_INTERFACE_PATH = os.path.join(MA5_SCRIPTPATH, "delphes_interface") - PAD_INTERFACE_PATH = os.path.join(MA5_SCRIPTPATH, "pad_interface") - - @staticmethod - def set_ma5path(ma5_path: Text) -> None: - """ - Set MadAnalysis path - Parameters - ---------- - ma5_path : Text - A valid path for MadAnalysis 5 package - """ - if not os.path.isdir(ma5_path): - raise InvalidMadAnalysisPath(f"Invalid path: {ma5_path}") - if not os.path.isdir(os.path.join(ma5_path, "tools/ReportGenerator/Services")): - raise InvalidMadAnalysisPath(f"Invalid path: {ma5_path}") - PathHandler.MA5PATH = os.path.normpath(ma5_path) - SMP_PATH = os.path.join(PathHandler.MA5PATH, "samples") - - @staticmethod - def set_logpath(logpath: Text) -> None: - """ - Set log path for validation suite - Parameters - ---------- - logpath : Text - The path where log file should be - """ - if not os.path.isdir(logpath): - os.mkdir(logpath) - PathHandler.LOGPATH = logpath - - @staticmethod - def check_ma5_setup(): - """ - Check current MadAnalysis Architecture - - Returns - ------- - session and architecture info - """ - if not os.path.isdir(PathHandler.MA5PATH): - raise InvalidMadAnalysisPath( - "Detected MadAnalysis 5 general folder is not correct: " + PathHandler.MA5PATH - ) - os.environ["MA5_BASE"] = PathHandler.MA5PATH - sys.path.insert(0, PathHandler.MA5PATH) - servicedir = os.path.join(PathHandler.MA5PATH, "tools/ReportGenerator/Services") - if not os.path.isdir(servicedir): - raise InvalidMadAnalysisPath( - "Detected MadAnalysis 5 service folder is not correct: " + PathHandler.MA5PATH - ) - sys.path.insert(0, servicedir) - from madanalysis.core.main import Main as ma5_main - - curdir = os.getcwd() - os.chdir(os.path.join(PathHandler.MA5PATH, "bin")) - main = ma5_main() - main.archi_info.ma5dir = PathHandler.MA5PATH - main.CheckConfig(debug=True) - main.CheckConfig2(debug=True) - main.Display() - os.chdir(curdir) - return main.session_info, main.archi_info diff --git a/validation/src/ma5_validation/utils/script_handler.py b/validation/src/ma5_validation/utils/script_handler.py deleted file mode 100644 index 99593b9f..00000000 --- a/validation/src/ma5_validation/utils/script_handler.py +++ /dev/null @@ -1,259 +0,0 @@ -################################################################################ -# -# Copyright (C) 2012-2022 Jack Araz, Eric Conte & Benjamin Fuks -# The MadAnalysis development team, email: -# -# This file is part of MadAnalysis 5. -# Official website: -# -# MadAnalysis 5 is free software: you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation, either version 3 of the License, or -# (at your option) any later version. -# -# MadAnalysis 5 is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with MadAnalysis 5. If not, see -# -################################################################################ -import os -from typing import Text - -from ma5_validation.system.exceptions import InvalidScript -from .mode_handler import MA5Mode -from .path_handler import PathHandler - - -class ScriptReader: - """ - Validation script reader. - - Format of the valiation script: - ``` - #TITLE Script title - #MODE Ma5 run mode - - plot MET - select MET > 20 - import $MA5PATH/samples/*lhe* - ``` - `$MA5PATH` indicates madanalysis path which has been in use with the current validation run. - - Parameters - ---------- - filename : Text - script name or full path. - """ - - _modes = MA5Mode._member_names_ - - def __init__(self, filename: Text = None, name: Text = None): - if name is None: - self.name = os.path.basename(filename).split(".ma5")[0] - else: - self.name = name - self.filename = filename - self._mode = None - self.title = None - self._ma5_commands = [] - - @staticmethod - def _modifier(line: Text) -> Text: - """ - Modifies the input string's keywords - - Parameters - ---------- - line : Text - input string - - Returns - ------- - Text: - modified line - """ - modifications = { - "$MA5PATH": PathHandler.MA5PATH, - "$SMP_PATH": PathHandler.SMP_PATH, - "$LOGPATH": PathHandler.LOGPATH, - "$PARTON_LEVEL_PATH": PathHandler.PARTON_LEVEL_PATH, - "$HADRON_LEVEL_PATH": PathHandler.HADRON_LEVEL_PATH, - "$RECO_LEVEL_PATH": PathHandler.RECO_LEVEL_PATH, - "$EXPERT_LEVEL_PATH": PathHandler.EXPERT_LEVEL_PATH, - "$FASTJET_INTERFACE_PATH": PathHandler.FASTJET_INTERFACE_PATH, - "$DELPHES_INTERFACE_PATH": PathHandler.DELPHES_INTERFACE_PATH, - } - for key, path in modifications.items(): - line = line.replace(key, path) - return line - - def decode(self) -> None: - """ - Decode MadAnalysis 5 validation script. Format: - - ``` - #TITLE Script title - #MODE Ma5 run mode - #SUBMIT Submission folder name i.e. sfs_test - - plot MET - select MET > 20 - ``` - """ - if self.filename is None: - raise InvalidScript("File name is not defined.") - - if len(self.filename.split("/")) > 1: - if os.path.isfile(self.filename): - filename = self.filename - else: - raise FileNotFoundError(f"Can't find ma5 script: {self.filename}") - else: - filename = os.path.join( - os.path.split(os.path.dirname(os.path.realpath(__file__)))[0], - "ma5_scripts", - self.filename, - ) - if not os.path.isfile(filename): - raise FileNotFoundError(f"Can't find ma5 script: {filename}") - - with open(filename, "r", encoding="utf-8") as script: - script_lines = [] - for line in script: - if line.startswith("#TITLE"): - self.title = " ".join(line[6:-1].split()) - continue - elif line.startswith("#MODE"): - self.mode = line.split()[1] - - if self.IsExpert: - # initialize Expert mode attributes - for attr in ["cpp", "header", "sample", "expert_name", "command_line"]: - setattr(self, attr, None) - - continue - - if None in [self.mode, self.title]: - raise InvalidScript( - f"First two lines of the script needs to include #TITLE and #MODE: {filename}" - ) - - # Read location of the cpp and header files - if self.IsExpert: - if line.startswith("#CPP"): - self.cpp = self._modifier(line.split()[1]) - elif line.startswith("#HEADER"): - self.header = self._modifier(line.split()[1]) - elif line.startswith("#COMMANDLINE"): - self.command_line = " ".join(line.split("#COMMANDLINE")[1:]) - - if not line.startswith("#") and not line.startswith("\n"): - line = self._modifier(line) - if line.startswith("import"): - if not self.IsExpert: - script_lines.append(line) - else: - sample = line.split()[-1] - if "*" in sample: - from glob import glob - - self.sample = glob(sample) - else: - self.sample = [sample] - - elif "submit" in line and not self.IsExpert: - script_lines.append( - f"submit {os.path.join(PathHandler.LOGPATH, self.name + '_' + self.mode.name)}\n" - ) - else: - script_lines.append(line) - - if None in [self.mode, self.title]: - raise InvalidScript( - f"Script does not have mode or title. Please check the script: {filename}" - ) - - if self.IsExpert: - assert None not in [self.cpp, self.header], "CPP and Header files are not defined" - assert ( - os.path.basename(self.cpp).split(".cpp")[0] - == os.path.basename(self.header).split(".h")[0] - ), "Invalid expert analysis decleration" - assert self.sample is not None, "No sample has been provided." - assert os.path.isfile(self.cpp), f"Can't find {self.cpp}" - assert os.path.isfile(self.header), f"Can't find {self.header}" - self.expert_name = os.path.basename(self.cpp).split(".cpp")[0] - self.command_line = "" if self.command_line is None else self.command_line - - self._ma5_commands = script_lines - - @property - def commands(self) -> Text: - """ - Write commands list to text format - - Returns - ------- - Text: MadAnalysis 5 commands - """ - return "#BEGIN\n" + "".join(self._ma5_commands) + "\n#END\n" - - @property - def mode(self): - """ - Get or set MadAnalysis 5 Mode - - Parameters - ---------- - mode : Text - Mode indicator - - Raises - ------ - InvalidMode: If Mode has not been implemented in validation suite - """ - return self._mode - - @mode.setter - def mode(self, mode: Text) -> None: - """ - Set MadAnalysis 5 mode - - Parameters - ---------- - mode : Text - Mode indicator - - Raises - ------ - InvalidMode: If Mode has not been implemented in validation suite - """ - self._mode = MA5Mode.get_mode(mode.upper()) - - @property - def IsExpert(self) -> bool: - """ - Is the script tagged as expert mode. - - Returns - ------- - Bool - """ - try: - return "EXPERT" in self.mode.name - except AttributeError as err: - return False - - def mode_flag(self) -> Text: - """ - Return commandline execution mode - - Returns - ------- - Text: ma5 execution mode - """ - return MA5Mode.get_flag(self.mode) From 55a31facfb5d637e8220e6705e03550c9df0ba16 Mon Sep 17 00:00:00 2001 From: BFuks Date: Thu, 2 Apr 2026 00:00:32 +0200 Subject: [PATCH 2/7] updating the version number --- bin/ma5 | 4 ++-- doc/releases/changelog-v1.11.md | 4 +++- tools/SampleAnalyzer/Commons/Base/Configuration.cpp | 4 ++-- 3 files changed, 7 insertions(+), 5 deletions(-) diff --git a/bin/ma5 b/bin/ma5 index 1d3e1b34..a0e912c8 100755 --- a/bin/ma5 +++ b/bin/ma5 @@ -74,8 +74,8 @@ sys.path.insert(0, servicedir) # Release version # Do not touch it !!!!! -version = "1.11.0" -date = "2025/04/23" +version = "1.11.1" +date = "2026/04/01" # Loading the MadAnalysis session import madanalysis.core.launcher diff --git a/doc/releases/changelog-v1.11.md b/doc/releases/changelog-v1.11.md index 89c63ddd..7766fe57 100644 --- a/doc/releases/changelog-v1.11.md +++ b/doc/releases/changelog-v1.11.md @@ -9,10 +9,12 @@ * Statistical inference has been moved to Spey ## Bug fixes +* Bug fix in the HistFrequency module + (The first time an entry was found, it was not added to the histo) ## Contributors This release contains contributions from (in alphabetical order): * Jack Y. Araz -* Benjamin Fuks \ No newline at end of file +* Benjamin Fuks diff --git a/tools/SampleAnalyzer/Commons/Base/Configuration.cpp b/tools/SampleAnalyzer/Commons/Base/Configuration.cpp index 9d1692bb..e9359ca5 100644 --- a/tools/SampleAnalyzer/Commons/Base/Configuration.cpp +++ b/tools/SampleAnalyzer/Commons/Base/Configuration.cpp @@ -37,8 +37,8 @@ using namespace MA5; // Initializing static data members // ----------------------------------------------------------------------------- // DO NOT TOUCH THESE LINES -const std::string Configuration::sampleanalyzer_version_ = "1.11.0"; -const std::string Configuration::sampleanalyzer_date_ = "2025/04/23"; +const std::string Configuration::sampleanalyzer_version_ = "1.11.1"; +const std::string Configuration::sampleanalyzer_date_ = "2026/04/01"; // DO NOT TOUCH THESE LINES // ----------------------------------------------------------------------------- From d133265ecc071f07742e943d98533dbfa48453ad Mon Sep 17 00:00:00 2001 From: BFuks Date: 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validation/outputs/lhe_histos_0/Output/SAF/_testset/MadAnalysis5job_0/Histograms/histos.saf rename to validation/outputs/lhe_histos_0.saf diff --git a/validation/outputs/lhe_histos_0/Build/Log/compilation.log b/validation/outputs/lhe_histos_0/Build/Log/compilation.log deleted file mode 100644 index 106ed858..00000000 --- a/validation/outputs/lhe_histos_0/Build/Log/compilation.log +++ /dev/null @@ -1,64 +0,0 @@ -c++ -Wall -std=c++11 -O3 -fPIC -I/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/ -I./ -stdlib=libc++ -pthread -std=c++14 -m64 -I/Applications/Root/include -o Main/main.o -c Main/main.cpp -In file included from Main/main.cpp:12: -In file included from ./SampleAnalyzer/User/Analyzer/analysisList.h:2: -In file included from ./SampleAnalyzer/User/Analyzer/user.h:5: -In file included from /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.h:32: -In file included from /Applications/Root/include/TTree.h:46: -In file included from /Applications/Root/include/TBranch.h:29: -In file included from /Applications/Root/include/TBranchCacheInfo.h:25: -/Applications/Root/include/TBits.h:150:11: warning: use of bitwise '&' with boolean operands [-Wbitwise-instead-of-logical] - return (Bool_t)lhs & rhs; - ^~~~~~~~~~~~~~~~~ - && -/Applications/Root/include/TBits.h:150:11: note: cast one or both operands to int to silence this warning -/Applications/Root/include/TBits.h:155:11: warning: use of bitwise '|' with boolean operands [-Wbitwise-instead-of-logical] - return (Bool_t)lhs | rhs; - ^~~~~~~~~~~~~~~~~ - || -/Applications/Root/include/TBits.h:155:11: note: cast one or both operands to int to silence this warning -In file included from Main/main.cpp:12: -In file included from ./SampleAnalyzer/User/Analyzer/analysisList.h:2: -In file included from ./SampleAnalyzer/User/Analyzer/user.h:5: -In file included from /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.h:39: -In file included from /Applications/Root/include/TCanvas.h:15: -In file included from /Applications/Root/include/TPad.h:15: -In file included from /Applications/Root/include/TVirtualPad.h:30: -In file included from /Applications/Root/include/TQObject.h:42: -/Applications/Root/include/TVirtualQConnection.h:53:42: warning: 'sizeof (val)' will return the size of the pointer, not the array itself [-Wsizeof-pointer-div] - constexpr size_t size = sizeof(val)/sizeof(val[0]); - ~~~~~~~~~~~^ -/Applications/Root/include/TVirtualQConnection.h:51:25: note: pointer 'val' declared here - void SetArg(const T* val) - ^ -3 warnings generated. -c++ -Wall -std=c++11 -O3 -fPIC -I/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/ -I./ -stdlib=libc++ -pthread -std=c++14 -m64 -I/Applications/Root/include -o SampleAnalyzer/User/Analyzer/user.o -c SampleAnalyzer/User/Analyzer/user.cpp -In file included from SampleAnalyzer/User/Analyzer/user.cpp:1: -In file included from ./SampleAnalyzer/User/Analyzer/user.h:5: -In file included from /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.h:32: -In file included from /Applications/Root/include/TTree.h:46: -In file included from /Applications/Root/include/TBranch.h:29: -In file included from /Applications/Root/include/TBranchCacheInfo.h:25: -/Applications/Root/include/TBits.h:150:11: warning: use of bitwise '&' with boolean operands [-Wbitwise-instead-of-logical] - return (Bool_t)lhs & rhs; - ^~~~~~~~~~~~~~~~~ - && -/Applications/Root/include/TBits.h:150:11: note: cast one or both operands to int to silence this warning -/Applications/Root/include/TBits.h:155:11: warning: use of bitwise '|' with boolean operands [-Wbitwise-instead-of-logical] - return (Bool_t)lhs | rhs; - ^~~~~~~~~~~~~~~~~ - || -/Applications/Root/include/TBits.h:155:11: note: cast one or both operands to int to silence this warning -In file included from SampleAnalyzer/User/Analyzer/user.cpp:1: -In file included from ./SampleAnalyzer/User/Analyzer/user.h:5: -In file included from /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.h:39: -In file included from /Applications/Root/include/TCanvas.h:15: -In file included from /Applications/Root/include/TPad.h:15: -In file included from /Applications/Root/include/TVirtualPad.h:30: -In file included from /Applications/Root/include/TQObject.h:42: -/Applications/Root/include/TVirtualQConnection.h:53:42: warning: 'sizeof (val)' will return the size of the pointer, not the array itself [-Wsizeof-pointer-div] - constexpr size_t size = sizeof(val)/sizeof(val[0]); - ~~~~~~~~~~~^ -/Applications/Root/include/TVirtualQConnection.h:51:25: note: pointer 'val' declared here - void SetArg(const T* val) - ^ -3 warnings generated. diff --git a/validation/outputs/lhe_histos_0/Build/Log/linking.log b/validation/outputs/lhe_histos_0/Build/Log/linking.log deleted file mode 100644 index f236ac53..00000000 --- a/validation/outputs/lhe_histos_0/Build/Log/linking.log +++ /dev/null @@ -1 +0,0 @@ -c++ Main/main.o SampleAnalyzer/User/Analyzer/user.o -L/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/Lib -L/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/ExternalSymLink/Lib -lprocess_for_ma5 -lprocess_for_ma5 -L/Applications/Root/lib -lCore -lImt -lRIO -lNet -lHist -lGraf -lGraf3d -lGpad -lROOTVecOps -lTree -lTreePlayer -lRint -lPostscript -lMatrix -lPhysics -lMathCore -lThread -lMultiProc -lROOTDataFrame -Wl,-rpath,/Applications/Root/lib -stdlib=libc++ -lpthread -lm -ldl -lEG -lcommons_for_ma5 -o ./MadAnalysis5job diff --git a/validation/outputs/lhe_histos_0/Build/MadAnalysis5job 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zxUS&UJ7Pb0;foJ;yzTya`wN>dd->Udw)@X4u5A88OZJH=ce;y{+cr1cCR`q~@tTVs ze6s$QJ^S5{fAHn4AC|1R+EKmlUmJEV%dwd(hRY{DbXmot8(c4ZwzXDz`}Nm%it9EQ zf7xHP|B?gmJbi8a)pPDUUiXPhM{eu*{qEP2!_NF`-Nq+#`zWJAL{+Sc|?LpyOOOEjU z?t9G#3+?Qzf-|Pw>D*oYwD(=_iDi5Kao?Ly-hAQTmX&WlwD3>&2!_P3I>#SudGg7Z zcFov0{NRhX?Or+m+YzU~x&Kq?g8k>-TJ_E)EB1WR)i73h<&W2#=Y01v%ZcAio4LYT z^ZAD21H=FQ^z$_nJQEIdOpCi}+YY_x$rGKQVW2bNIJcXJ2#ArQ=^-a>XyF9D43i l`I>8oNBr~gkjoqYbLj>54d1b5 -// Jack Araz, Eric Conte and Benjamin Fuks -// Official website: -// -//////////////////////////////////////////////////////////////////////////////// - -// SampleHeader header -#include "SampleAnalyzer/Process/Core/SampleAnalyzer.h" -#include "SampleAnalyzer/User/Analyzer/analysisList.h" -using namespace MA5; - -// ----------------------------------------------------------------------- -// Info function -// ----------------------------------------------------------------------- -int Info(SampleAnalyzer& manager) -{ - INFO << "BEGIN " << __FILE__ << endmsg; - manager.AnalyzerList().Print(); - INFO << "END " << __FILE__ << endmsg; - return 0; -} -// ----------------------------------------------------------------------- -// main program -// ----------------------------------------------------------------------- -int main(int argc, char *argv[]) -{ - // Creating a manager - SampleAnalyzer manager; - BuildUserTable(manager.AnalyzerList()); - - // Identifying --info argument - if (argc==2) - { - std::string arg=argv[1]; - if (arg=="--info") return Info(manager); - } - - // --------------------------------------------------- - // INITIALIZATION - // --------------------------------------------------- - INFO << " * Initializing all components" << endmsg; - - // Initializing the manager - if (!manager.Initialize(argc,argv,"pdg.ma5")) return 1; - - // Creating data format for storing data - EventFormat myEvent; - std::vector mySamples; - - // Getting pointer to the analyzer - std::map parametersA1; - AnalyzerBase* analyzer1 = - manager.InitializeAnalyzer("MadAnalysis5job","MadAnalysis5job.saf",parametersA1); - if (analyzer1==0) return 1; - - // Post initialization (creates the new output directory structure) - if(!manager.PostInitialize()) return 1; - // --------------------------------------------------- - // EXECUTION - // --------------------------------------------------- - INFO << " * Running over files ..." << endmsg; - - // Loop over files - while(1) - { - // Opening input file - mySamples.push_back(SampleFormat()); - SampleFormat& mySample=mySamples.back(); - StatusCode::Type result1 = manager.NextFile(mySample); - if (result1!=StatusCode::KEEP) - { - if (result1==StatusCode::SKIP) continue; - else if (result1==StatusCode::FAILURE) {mySamples.pop_back(); break;} - } - - // Loop over events - while(1) - { - StatusCode::Type result2 = manager.NextEvent(mySample,myEvent); - if (result2!=StatusCode::KEEP) - { - if (result2==StatusCode::SKIP) continue; - else if (result2==StatusCode::FAILURE) break; - } - manager.UpdateProgressBar(); - if (!analyzer1->Execute(mySample,myEvent)) continue; - } - } - - // --------------------------------------------------- - // FINALIZATION - // --------------------------------------------------- - INFO << " * Finalizing all components ..." << endmsg; - - // Finalizing all components - manager.Finalize(mySamples,myEvent); - return 0; -} diff --git a/validation/outputs/lhe_histos_0/Build/Main/main.o b/validation/outputs/lhe_histos_0/Build/Main/main.o deleted file mode 100644 index c7e3b4f6943113e511577e92af01af4de51b75ce..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 31720 zcmdUY4_H*!weLP>1~?!pi704Hz(46ljfO!)uu=zvL=$Q#jL|mY%mAZmZ)9EN(=@?2IPyV^`iTJ5_>?;x?M1om`UsB{x zr*myhjnlKS#?$0;`rOsg{0u&sEZ36xlAoD}`Pu2L^tpX?HA@@nbSb0xb>+#@sa(ms zK=Si{O$fb-5%N{Hw3r%jI!lTi=!@|&^h8~Y^@+}RI%`^d&2`sdKOpG7Mg31e0Dn5 zH`Y4qFdEJ^tqnD>m*M(rVt$4!`QS(6a2oQF3Jkk5IFo$qo7^=%XKTa5bq%#nXIY6s 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zdBOv#=Z>g8H`geeGm>bF5Qmkaa)8q^n@(1&KbdIWX{~22& parameters) -{ - // Initializing PhysicsService for MC - PHYSICS->mcConfig().Reset(); - - // definition of the multiparticle "hadronic" - PHYSICS->mcConfig().AddHadronicId(-5); - PHYSICS->mcConfig().AddHadronicId(-4); - PHYSICS->mcConfig().AddHadronicId(-3); - PHYSICS->mcConfig().AddHadronicId(-2); - PHYSICS->mcConfig().AddHadronicId(-1); - PHYSICS->mcConfig().AddHadronicId(1); - PHYSICS->mcConfig().AddHadronicId(2); - PHYSICS->mcConfig().AddHadronicId(3); - PHYSICS->mcConfig().AddHadronicId(4); - PHYSICS->mcConfig().AddHadronicId(5); - PHYSICS->mcConfig().AddHadronicId(21); - - // definition of the multiparticle "invisible" - PHYSICS->mcConfig().AddInvisibleId(-16); - PHYSICS->mcConfig().AddInvisibleId(-14); - PHYSICS->mcConfig().AddInvisibleId(-12); - PHYSICS->mcConfig().AddInvisibleId(12); - PHYSICS->mcConfig().AddInvisibleId(14); - PHYSICS->mcConfig().AddInvisibleId(16); - PHYSICS->mcConfig().AddInvisibleId(1000022); - - // ===== Signal region ===== // - Manager()->AddRegionSelection("myregion"); - - // ===== Selections ===== // - - // ===== Histograms ===== // - Manager()->AddHisto("1_SQRTS", 50,0.0,5000.0); - Manager()->AddHisto("2_SCALE", 50,0.0,2000.0); - Manager()->AddHisto("3_ALPHA_QCD", 50,0.0,0.3); - Manager()->AddHisto("4_ALPHA_QED", 50,0.0,0.02); - Manager()->AddHisto("5_TET", 50,0.0,5000.0); - Manager()->AddHisto("6_THT", 50,0.0,5000.0); - Manager()->AddHisto("7_MET", 50,0.0,1500.0); - Manager()->AddHisto("8_MHT", 50,0.0,1500.0); - Manager()->AddHistoFrequency("9_NPID"); - Manager()->AddHistoFrequency("10_NAPID"); - Manager()->AddHisto("11_WEIGHTS", 100,-1.0,1.0); - Manager()->AddHisto("12_PT", 50,0.0,1000.0); - Manager()->AddHisto("13_ETA", 50,-8.0,8.0); - Manager()->AddHisto("14_ABSETA", 50,0.0,8.0); - Manager()->AddHisto("15_PHI", 32,-3.2,3.2); - Manager()->AddHisto("16_E", 50,0.0,2000.0); - Manager()->AddHisto("17_ET", 50,0.0,2000.0); - Manager()->AddHisto("18_M", 50,0.0,20.0); - Manager()->AddHisto("19_MT", 50,0.0,1000.0); - Manager()->AddHisto("20_MT_MET", 50,0.0,1000.0); - Manager()->AddHisto("21_P", 50,0.0,2000.0); - Manager()->AddHisto("22_PX", 50,-1000.0,1000.0); - Manager()->AddHisto("23_PY", 50,-1000.0,1000.0); - Manager()->AddHisto("24_PZ", 50,-2000.0,2000.0); - Manager()->AddHisto("25_R", 50,0.0,10.0); - Manager()->AddHisto("26_Y", 50,-8.0,8.0); - Manager()->AddHisto("27_BETA", 50,0.0,1.2); - Manager()->AddHisto("28_GAMMA", 50,1.0,100.0); - Manager()->AddHisto("29_PT", 50,0.0,1000.0); - Manager()->AddHisto("30_ETA", 50,-8.0,8.0); - Manager()->AddHisto("31_PHI", 32,-3.2,3.2); - Manager()->AddHisto("32_E", 50,0.0,2000.0); - Manager()->AddHisto("33_MT_MET", 50,0.0,1000.0); - Manager()->AddHisto("34_PT", 50,0.0,1000.0); - Manager()->AddHisto("35_ETA", 50,-8.0,8.0); - Manager()->AddHisto("36_PHI", 32,-3.2,3.2); - Manager()->AddHisto("37_E", 50,0.0,2000.0); - Manager()->AddHisto("38_MT_MET", 50,0.0,1000.0); - Manager()->AddHisto("39_M", 50,0.0,1000.0); - Manager()->AddHisto("40_PT", 50,0.0,1500.0); - Manager()->AddHisto("41_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("42_DPHI_0_PI", 32,0.0,3.2); - Manager()->AddHisto("43_DPHI_0_2PI", 32,0.0,6.4); - Manager()->AddHisto("44_PT", 50,0.0,1000.0); - Manager()->AddHisto("45_ETA", 50,-8.0,8.0); - Manager()->AddHisto("46_ABSETA", 50,0.0,8.0); - Manager()->AddHisto("47_PHI", 32,-3.2,3.2); - Manager()->AddHisto("48_E", 50,0.0,2000.0); - Manager()->AddHisto("49_ET", 50,0.0,2000.0); - Manager()->AddHisto("50_M", 50,0.0,20.0); - Manager()->AddHisto("51_MT", 50,0.0,1000.0); - Manager()->AddHisto("52_MT_MET", 50,0.0,1000.0); - Manager()->AddHisto("53_P", 50,0.0,2000.0); - Manager()->AddHisto("54_PX", 50,-1000.0,1000.0); - Manager()->AddHisto("55_PY", 50,-1000.0,1000.0); - Manager()->AddHisto("56_PZ", 50,-2000.0,2000.0); - Manager()->AddHisto("57_R", 50,0.0,10.0); - Manager()->AddHisto("58_Y", 50,-8.0,8.0); - Manager()->AddHisto("59_BETA", 50,0.0,1.2); - Manager()->AddHisto("60_GAMMA", 50,1.0,100.0); - Manager()->AddHisto("61_PT", 50,0.0,1000.0); - Manager()->AddHisto("62_ETA", 50,-8.0,8.0); - Manager()->AddHisto("63_PHI", 32,-3.2,3.2); - Manager()->AddHisto("64_E", 50,0.0,2000.0); - Manager()->AddHisto("65_MT_MET", 50,0.0,1000.0); - Manager()->AddHisto("66_PT", 50,0.0,1000.0); - Manager()->AddHisto("67_ETA", 50,-8.0,8.0); - Manager()->AddHisto("68_PHI", 32,-3.2,3.2); - Manager()->AddHisto("69_E", 50,0.0,2000.0); - Manager()->AddHisto("70_MT_MET", 50,0.0,1000.0); - Manager()->AddHisto("71_M", 50,0.0,1000.0); - Manager()->AddHisto("72_PT", 50,0.0,1500.0); - Manager()->AddHisto("73_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("74_DPHI_0_PI", 32,0.0,3.2); - Manager()->AddHisto("75_DPHI_0_2PI", 32,0.0,6.4); - Manager()->AddHisto("76_PT", 50,0.0,1000.0); - Manager()->AddHisto("77_ETA", 50,-8.0,8.0); - Manager()->AddHisto("78_ABSETA", 50,0.0,8.0); - Manager()->AddHisto("79_PHI", 32,-3.2,3.2); - Manager()->AddHisto("80_E", 50,0.0,2000.0); - Manager()->AddHisto("81_ET", 50,0.0,2000.0); - Manager()->AddHisto("82_M", 50,0.0,50.0); - Manager()->AddHisto("83_MT", 50,0.0,1000.0); - Manager()->AddHisto("84_MT_MET", 50,0.0,1000.0); - Manager()->AddHisto("85_P", 50,0.0,2000.0); - Manager()->AddHisto("86_PX", 50,-1000.0,1000.0); - Manager()->AddHisto("87_PY", 50,-1000.0,1000.0); - Manager()->AddHisto("88_PZ", 50,-2000.0,2000.0); - Manager()->AddHisto("89_R", 50,0.0,10.0); - Manager()->AddHisto("90_Y", 50,-8.0,8.0); - Manager()->AddHisto("91_BETA", 50,0.0,1.2); - Manager()->AddHisto("92_GAMMA", 50,1.0,100.0); - Manager()->AddHisto("93_PT", 50,0.0,1000.0); - Manager()->AddHisto("94_ETA", 50,-8.0,8.0); - Manager()->AddHisto("95_PHI", 32,-3.2,3.2); - Manager()->AddHisto("96_E", 50,0.0,2000.0); - Manager()->AddHisto("97_MT_MET", 50,0.0,1000.0); - Manager()->AddHisto("98_PT", 50,0.0,1000.0); - Manager()->AddHisto("99_ETA", 50,-8.0,8.0); - Manager()->AddHisto("100_PHI", 32,-3.2,3.2); - Manager()->AddHisto("101_E", 50,0.0,2000.0); - Manager()->AddHisto("102_MT_MET", 50,0.0,1000.0); - Manager()->AddHisto("103_M", 50,0.0,2000.0); - Manager()->AddHisto("104_PT", 50,0.0,2000.0); - Manager()->AddHisto("105_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("106_DPHI_0_PI", 32,0.0,3.2); - Manager()->AddHisto("107_DPHI_0_2PI", 32,0.0,6.4); - Manager()->AddHisto("108_PT", 50,0.0,1000.0); - Manager()->AddHisto("109_ETA", 50,-8.0,8.0); - Manager()->AddHisto("110_ABSETA", 50,0.0,8.0); - Manager()->AddHisto("111_PHI", 32,-3.2,3.2); - Manager()->AddHisto("112_E", 50,0.0,2000.0); - Manager()->AddHisto("113_ET", 50,0.0,2000.0); - Manager()->AddHisto("114_M", 50,0.0,200.0); - Manager()->AddHisto("115_MT", 50,0.0,1000.0); - Manager()->AddHisto("116_MT_MET", 50,0.0,1000.0); - Manager()->AddHisto("117_P", 50,0.0,2000.0); - Manager()->AddHisto("118_PX", 50,-1000.0,1000.0); - Manager()->AddHisto("119_PY", 50,-1000.0,1000.0); - Manager()->AddHisto("120_PZ", 50,-2000.0,2000.0); - Manager()->AddHisto("121_R", 50,0.0,10.0); - Manager()->AddHisto("122_Y", 50,-8.0,8.0); - Manager()->AddHisto("123_BETA", 50,0.0,1.2); - Manager()->AddHisto("124_GAMMA", 50,1.0,100.0); - Manager()->AddHisto("125_PT", 50,0.0,1000.0); - Manager()->AddHisto("126_ETA", 50,-8.0,8.0); - Manager()->AddHisto("127_PHI", 32,-3.2,3.2); - Manager()->AddHisto("128_E", 50,0.0,2000.0); - Manager()->AddHisto("129_MT_MET", 50,0.0,1000.0); - Manager()->AddHisto("130_PT", 50,0.0,1000.0); - Manager()->AddHisto("131_ETA", 50,-8.0,8.0); - Manager()->AddHisto("132_PHI", 32,-3.2,3.2); - Manager()->AddHisto("133_E", 50,0.0,2000.0); - Manager()->AddHisto("134_MT_MET", 50,0.0,1000.0); - Manager()->AddHisto("135_M", 50,0.0,3000.0); - Manager()->AddHisto("136_PT", 50,0.0,3000.0); - Manager()->AddHisto("137_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("138_DPHI_0_PI", 32,0.0,3.2); - Manager()->AddHisto("139_DPHI_0_2PI", 32,0.0,6.4); - Manager()->AddHisto("140_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("141_DPHI_0_PI", 32,0.0,3.2); - Manager()->AddHisto("142_DPHI_0_2PI", 32,0.0,6.4); - Manager()->AddHisto("143_M", 50,0.0,1000.0); - Manager()->AddHisto("144_PT", 50,0.0,1500.0); - Manager()->AddHisto("145_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("146_DPHI_0_PI", 32,0.0,3.2); - Manager()->AddHisto("147_DPHI_0_2PI", 32,0.0,6.4); - Manager()->AddHisto("148_M", 50,0.0,1000.0); - Manager()->AddHisto("149_PT", 50,0.0,1500.0); - Manager()->AddHisto("150_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("151_DPHI_0_PI", 32,0.0,3.2); - Manager()->AddHisto("152_DPHI_0_2PI", 32,0.0,6.4); - Manager()->AddHisto("153_M", 50,0.0,2000.0); - Manager()->AddHisto("154_PT", 50,0.0,2000.0); - Manager()->AddHisto("155_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("156_DPHI_0_PI", 32,0.0,3.2); - Manager()->AddHisto("157_DPHI_0_2PI", 32,0.0,6.4); - Manager()->AddHisto("158_M", 50,0.0,3000.0); - Manager()->AddHisto("159_PT", 50,0.0,3000.0); - Manager()->AddHisto("160_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("161_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("162_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("163_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("164_M", 50,0.0,1000.0); - Manager()->AddHisto("165_M", 50,0.0,2000.0); - Manager()->AddHisto("166_M", 50,0.0,2000.0); - Manager()->AddHisto("167_M", 50,0.0,3000.0); - Manager()->AddHisto("168_PT", 50,0.0,1500.0); - Manager()->AddHisto("169_PT", 50,0.0,3000.0); - Manager()->AddHisto("170_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("171_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("172_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("173_DELTAR", 50,0.0,10.0); - Manager()->AddHisto("174_M", 50,0.0,1000.0); - Manager()->AddHisto("175_M", 50,0.0,2000.0); - Manager()->AddHisto("176_M", 50,0.0,2000.0); - Manager()->AddHisto("177_M", 50,0.0,3000.0); - Manager()->AddHisto("178_PT", 50,0.0,1500.0); - Manager()->AddHisto("179_PT", 50,0.0,3000.0); - - // No problem during initialization - return true; -} - -MAbool user::Execute(SampleFormat& sample, const EventFormat& event) -{ - MAfloat32 __event_weight__ = 1.0; - if (weighted_events_ && event.mc()!=0) __event_weight__ = event.mc()->weight(); - - if (sample.mc()!=0) sample.mc()->addWeightedEvents(__event_weight__); - Manager()->InitializeForNewEvent(__event_weight__); - - // Clearing particle containers - { - _P_e_I2I_PTorderingfinalstate_REG_.clear(); - _P_mu_I2I_PTorderingfinalstate_REG_.clear(); - _P_b_I2I_PTorderingfinalstate_REG_.clear(); - _P_j_I2I_PTorderingfinalstate_REG_.clear(); - _P_e_I1I_PTorderingfinalstate_REG_.clear(); - _P_mu_I1I_PTorderingfinalstate_REG_.clear(); - _P_b_I1I_PTorderingfinalstate_REG_.clear(); - _P_j_I1I_PTorderingfinalstate_REG_.clear(); - _P_ePTorderingfinalstate_REG_.clear(); - _P_muPTorderingfinalstate_REG_.clear(); - _P_bPTorderingfinalstate_REG_.clear(); - _P_jPTorderingfinalstate_REG_.clear(); - } - - // Filling particle containers - { - for (MAuint32 i=0;iparticles().size();i++) - { - if (isP__ePTorderingfinalstate((&(event.mc()->particles()[i])))) _P_ePTorderingfinalstate_REG_.push_back(&(event.mc()->particles()[i])); - if (isP__muPTorderingfinalstate((&(event.mc()->particles()[i])))) _P_muPTorderingfinalstate_REG_.push_back(&(event.mc()->particles()[i])); - if (isP__bPTorderingfinalstate((&(event.mc()->particles()[i])))) _P_bPTorderingfinalstate_REG_.push_back(&(event.mc()->particles()[i])); - if (isP__jPTorderingfinalstate((&(event.mc()->particles()[i])))) _P_jPTorderingfinalstate_REG_.push_back(&(event.mc()->particles()[i])); - } - } - - // Sorting particles - // Sorting particle collection according to PTordering - // for getting 2th particle - _P_e_I2I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_ePTorderingfinalstate_REG_,2,PTordering); - - // Sorting particle collection according to PTordering - // for getting 2th particle - _P_mu_I2I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_muPTorderingfinalstate_REG_,2,PTordering); - - // Sorting particle collection according to PTordering - // for getting 2th particle - _P_b_I2I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_bPTorderingfinalstate_REG_,2,PTordering); - - // Sorting particle collection according to PTordering - // for getting 2th particle - _P_j_I2I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_jPTorderingfinalstate_REG_,2,PTordering); - - // Sorting particle collection according to PTordering - // for getting 1th particle - _P_e_I1I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_ePTorderingfinalstate_REG_,1,PTordering); - - // Sorting particle collection according to PTordering - // for getting 1th particle - _P_mu_I1I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_muPTorderingfinalstate_REG_,1,PTordering); - - // Sorting particle collection according to PTordering - // for getting 1th particle - _P_b_I1I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_bPTorderingfinalstate_REG_,1,PTordering); - - // Sorting particle collection according to PTordering - // for getting 1th particle - _P_j_I1I_PTorderingfinalstate_REG_=SORTER->rankFilter(_P_jPTorderingfinalstate_REG_,1,PTordering); - - // Histogram number 1 - // * Plot: SQRTS - { - Manager()->FillHisto("1_SQRTS", PHYSICS->SqrtS(event.mc())); - } - - // Histogram number 2 - // * Plot: SCALE - { - Manager()->FillHisto("2_SCALE", event.mc()->scale()); - } - - // Histogram number 3 - // * Plot: ALPHA_QCD - { - Manager()->FillHisto("3_ALPHA_QCD", event.mc()->alphaQCD()); - } - - // Histogram number 4 - // * Plot: ALPHA_QED - { - Manager()->FillHisto("4_ALPHA_QED", event.mc()->alphaQED()); - } - - // Histogram number 5 - // * Plot: TET - { - Manager()->FillHisto("5_TET", PHYSICS->Transverse->EventTET(event.mc())); - } - - // Histogram number 6 - // * Plot: THT - { - Manager()->FillHisto("6_THT", PHYSICS->Transverse->EventTHT(event.mc())); - } - - // Histogram number 7 - // * Plot: MET - { - Manager()->FillHisto("7_MET", PHYSICS->Transverse->EventMET(event.mc())); - } - - // Histogram number 8 - // * Plot: MHT - { - Manager()->FillHisto("8_MHT", PHYSICS->Transverse->EventMHT(event.mc())); - } - - // Histogram number 9 - // * Plot: NPID - { - for (unsigned int i=0;iparticles().size();i++) - { - if (!PHYSICS->Id->IsFinalState(event.mc()->particles()[i])) continue; - Manager()->FillHisto("9_NPID", event.mc()->particles()[i].pdgid()); - } - } - - // Histogram number 10 - // * Plot: NAPID - { - for (unsigned int i=0;iparticles().size();i++) - { - if (!PHYSICS->Id->IsFinalState(event.mc()->particles()[i])) continue; - Manager()->FillHisto("10_NAPID", std::abs(event.mc()->particles()[i].pdgid())); - } - } - - // Histogram number 11 - // * Plot: WEIGHTS - { - Manager()->FillHisto("11_WEIGHTS", PHYSICS->weights(event.mc())); - } - - // Histogram number 12 - // * Plot: PT ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("12_PT", _P_ePTorderingfinalstate_REG_[ind[0]]->pt()); - } - } - } - - // Histogram number 13 - // * Plot: ETA ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("13_ETA", _P_ePTorderingfinalstate_REG_[ind[0]]->eta()); - } - } - } - - // Histogram number 14 - // * Plot: ABSETA ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("14_ABSETA", _P_ePTorderingfinalstate_REG_[ind[0]]->abseta()); - } - } - } - - // Histogram number 15 - // * Plot: PHI ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("15_PHI", _P_ePTorderingfinalstate_REG_[ind[0]]->phi()); - } - } - } - - // Histogram number 16 - // * Plot: E ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("16_E", _P_ePTorderingfinalstate_REG_[ind[0]]->e()); - } - } - } - - // Histogram number 17 - // * Plot: ET ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("17_ET", _P_ePTorderingfinalstate_REG_[ind[0]]->et()); - } - } - } - - // Histogram number 18 - // * Plot: M ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("18_M", _P_ePTorderingfinalstate_REG_[ind[0]]->m()); - } - } - } - - // Histogram number 19 - // * Plot: MT ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("19_MT", _P_ePTorderingfinalstate_REG_[ind[0]]->mt()); - } - } - } - - // Histogram number 20 - // * Plot: MT_MET ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("20_MT_MET", _P_ePTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); - } - } - } - - // Histogram number 21 - // * Plot: P ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("21_P", _P_ePTorderingfinalstate_REG_[ind[0]]->p()); - } - } - } - - // Histogram number 22 - // * Plot: PX ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("22_PX", _P_ePTorderingfinalstate_REG_[ind[0]]->px()); - } - } - } - - // Histogram number 23 - // * Plot: PY ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("23_PY", _P_ePTorderingfinalstate_REG_[ind[0]]->py()); - } - } - } - - // Histogram number 24 - // * Plot: PZ ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("24_PZ", _P_ePTorderingfinalstate_REG_[ind[0]]->pz()); - } - } - } - - // Histogram number 25 - // * Plot: R ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("25_R", _P_ePTorderingfinalstate_REG_[ind[0]]->r()); - } - } - } - - // Histogram number 26 - // * Plot: Y ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("26_Y", _P_ePTorderingfinalstate_REG_[ind[0]]->y()); - } - } - } - - // Histogram number 27 - // * Plot: BETA ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("27_BETA", _P_ePTorderingfinalstate_REG_[ind[0]]->beta()); - } - } - } - - // Histogram number 28 - // * Plot: GAMMA ( e ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("28_GAMMA", _P_ePTorderingfinalstate_REG_[ind[0]]->gamma()); - } - } - } - - // Histogram number 29 - // * Plot: PT ( e[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("29_PT", _P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->pt()); - } - } - } - - // Histogram number 30 - // * Plot: ETA ( e[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("30_ETA", _P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->eta()); - } - } - } - - // Histogram number 31 - // * Plot: PHI ( e[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("31_PHI", _P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->phi()); - } - } - } - - // Histogram number 32 - // * Plot: E ( e[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("32_E", _P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->e()); - } - } - } - - // Histogram number 33 - // * Plot: MT_MET ( e[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("33_MT_MET", _P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); - } - } - } - - // Histogram number 34 - // * Plot: PT ( e[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("34_PT", _P_e_I2I_PTorderingfinalstate_REG_[ind[0]]->pt()); - } - } - } - - // Histogram number 35 - // * Plot: ETA ( e[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("35_ETA", _P_e_I2I_PTorderingfinalstate_REG_[ind[0]]->eta()); - } - } - } - - // Histogram number 36 - // * Plot: PHI ( e[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("36_PHI", _P_e_I2I_PTorderingfinalstate_REG_[ind[0]]->phi()); - } - } - } - - // Histogram number 37 - // * Plot: E ( e[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("37_E", _P_e_I2I_PTorderingfinalstate_REG_[ind[0]]->e()); - } - } - } - - // Histogram number 38 - // * Plot: MT_MET ( e[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("38_MT_MET", _P_e_I2I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); - } - } - } - - // Histogram number 39 - // * Plot: M ( e[1] e[2] ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_e_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_e_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_e_I1I_PTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_e_I2I_PTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_e_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("39_M", q.m()); - } - } - } - } - - // Histogram number 40 - // * Plot: PT ( e[1] e[2] ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_e_I2I_PTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_e_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_e_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_e_I1I_PTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_e_I2I_PTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_e_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("40_PT", q.pt()); - } - } - } - } - - // Histogram number 41 - // * Plot: DELTAR ( e[1] , e[2] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_e_I1I_PTorderingfinalstate_REG_[a[0]] == _P_e_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("41_DELTAR", _P_e_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_e_I2I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 42 - // * Plot: DPHI_0_PI ( e[1] , e[2] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_e_I1I_PTorderingfinalstate_REG_[a[0]] == _P_e_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("42_DPHI_0_PI", _P_e_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_e_I2I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 43 - // * Plot: DPHI_0_2PI ( e[1] , e[2] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_e_I2I_PTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_e_I1I_PTorderingfinalstate_REG_[a[0]] == _P_e_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("43_DPHI_0_2PI", _P_e_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_e_I2I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 44 - // * Plot: PT ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("44_PT", _P_muPTorderingfinalstate_REG_[ind[0]]->pt()); - } - } - } - - // Histogram number 45 - // * Plot: ETA ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("45_ETA", _P_muPTorderingfinalstate_REG_[ind[0]]->eta()); - } - } - } - - // Histogram number 46 - // * Plot: ABSETA ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("46_ABSETA", _P_muPTorderingfinalstate_REG_[ind[0]]->abseta()); - } - } - } - - // Histogram number 47 - // * Plot: PHI ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("47_PHI", _P_muPTorderingfinalstate_REG_[ind[0]]->phi()); - } - } - } - - // Histogram number 48 - // * Plot: E ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("48_E", _P_muPTorderingfinalstate_REG_[ind[0]]->e()); - } - } - } - - // Histogram number 49 - // * Plot: ET ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("49_ET", _P_muPTorderingfinalstate_REG_[ind[0]]->et()); - } - } - } - - // Histogram number 50 - // * Plot: M ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("50_M", _P_muPTorderingfinalstate_REG_[ind[0]]->m()); - } - } - } - - // Histogram number 51 - // * Plot: MT ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("51_MT", _P_muPTorderingfinalstate_REG_[ind[0]]->mt()); - } - } - } - - // Histogram number 52 - // * Plot: MT_MET ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("52_MT_MET", _P_muPTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); - } - } - } - - // Histogram number 53 - // * Plot: P ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("53_P", _P_muPTorderingfinalstate_REG_[ind[0]]->p()); - } - } - } - - // Histogram number 54 - // * Plot: PX ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("54_PX", _P_muPTorderingfinalstate_REG_[ind[0]]->px()); - } - } - } - - // Histogram number 55 - // * Plot: PY ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("55_PY", _P_muPTorderingfinalstate_REG_[ind[0]]->py()); - } - } - } - - // Histogram number 56 - // * Plot: PZ ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("56_PZ", _P_muPTorderingfinalstate_REG_[ind[0]]->pz()); - } - } - } - - // Histogram number 57 - // * Plot: R ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("57_R", _P_muPTorderingfinalstate_REG_[ind[0]]->r()); - } - } - } - - // Histogram number 58 - // * Plot: Y ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("58_Y", _P_muPTorderingfinalstate_REG_[ind[0]]->y()); - } - } - } - - // Histogram number 59 - // * Plot: BETA ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("59_BETA", _P_muPTorderingfinalstate_REG_[ind[0]]->beta()); - } - } - } - - // Histogram number 60 - // * Plot: GAMMA ( mu ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("60_GAMMA", _P_muPTorderingfinalstate_REG_[ind[0]]->gamma()); - } - } - } - - // Histogram number 61 - // * Plot: PT ( mu[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("61_PT", _P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]->pt()); - } - } - } - - // Histogram number 62 - // * Plot: ETA ( mu[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("62_ETA", _P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]->eta()); - } - } - } - - // Histogram number 63 - // * Plot: PHI ( mu[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("63_PHI", _P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]->phi()); - } - } - } - - // Histogram number 64 - // * Plot: E ( mu[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("64_E", _P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]->e()); - } - } - } - - // Histogram number 65 - // * Plot: MT_MET ( mu[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("65_MT_MET", _P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); - } - } - } - - // Histogram number 66 - // * Plot: PT ( mu[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("66_PT", _P_mu_I2I_PTorderingfinalstate_REG_[ind[0]]->pt()); - } - } - } - - // Histogram number 67 - // * Plot: ETA ( mu[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("67_ETA", _P_mu_I2I_PTorderingfinalstate_REG_[ind[0]]->eta()); - } - } - } - - // Histogram number 68 - // * Plot: PHI ( mu[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("68_PHI", _P_mu_I2I_PTorderingfinalstate_REG_[ind[0]]->phi()); - } - } - } - - // Histogram number 69 - // * Plot: E ( mu[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("69_E", _P_mu_I2I_PTorderingfinalstate_REG_[ind[0]]->e()); - } - } - } - - // Histogram number 70 - // * Plot: MT_MET ( mu[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("70_MT_MET", _P_mu_I2I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); - } - } - } - - // Histogram number 71 - // * Plot: M ( mu[1] mu[2] ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_mu_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_mu_I1I_PTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_mu_I2I_PTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_mu_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("71_M", q.m()); - } - } - } - } - - // Histogram number 72 - // * Plot: PT ( mu[1] mu[2] ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_mu_I2I_PTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_mu_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_mu_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_mu_I1I_PTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_mu_I2I_PTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_mu_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("72_PT", q.pt()); - } - } - } - } - - // Histogram number 73 - // * Plot: DELTAR ( mu[1] , mu[2] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_mu_I1I_PTorderingfinalstate_REG_[a[0]] == _P_mu_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("73_DELTAR", _P_mu_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_mu_I2I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 74 - // * Plot: DPHI_0_PI ( mu[1] , mu[2] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_mu_I1I_PTorderingfinalstate_REG_[a[0]] == _P_mu_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("74_DPHI_0_PI", _P_mu_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_mu_I2I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 75 - // * Plot: DPHI_0_2PI ( mu[1] , mu[2] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_mu_I2I_PTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_mu_I1I_PTorderingfinalstate_REG_[a[0]] == _P_mu_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("75_DPHI_0_2PI", _P_mu_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_mu_I2I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 76 - // * Plot: PT ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("76_PT", _P_bPTorderingfinalstate_REG_[ind[0]]->pt()); - } - } - } - - // Histogram number 77 - // * Plot: ETA ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("77_ETA", _P_bPTorderingfinalstate_REG_[ind[0]]->eta()); - } - } - } - - // Histogram number 78 - // * Plot: ABSETA ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("78_ABSETA", _P_bPTorderingfinalstate_REG_[ind[0]]->abseta()); - } - } - } - - // Histogram number 79 - // * Plot: PHI ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("79_PHI", _P_bPTorderingfinalstate_REG_[ind[0]]->phi()); - } - } - } - - // Histogram number 80 - // * Plot: E ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("80_E", _P_bPTorderingfinalstate_REG_[ind[0]]->e()); - } - } - } - - // Histogram number 81 - // * Plot: ET ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("81_ET", _P_bPTorderingfinalstate_REG_[ind[0]]->et()); - } - } - } - - // Histogram number 82 - // * Plot: M ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("82_M", _P_bPTorderingfinalstate_REG_[ind[0]]->m()); - } - } - } - - // Histogram number 83 - // * Plot: MT ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("83_MT", _P_bPTorderingfinalstate_REG_[ind[0]]->mt()); - } - } - } - - // Histogram number 84 - // * Plot: MT_MET ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("84_MT_MET", _P_bPTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); - } - } - } - - // Histogram number 85 - // * Plot: P ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("85_P", _P_bPTorderingfinalstate_REG_[ind[0]]->p()); - } - } - } - - // Histogram number 86 - // * Plot: PX ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("86_PX", _P_bPTorderingfinalstate_REG_[ind[0]]->px()); - } - } - } - - // Histogram number 87 - // * Plot: PY ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("87_PY", _P_bPTorderingfinalstate_REG_[ind[0]]->py()); - } - } - } - - // Histogram number 88 - // * Plot: PZ ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("88_PZ", _P_bPTorderingfinalstate_REG_[ind[0]]->pz()); - } - } - } - - // Histogram number 89 - // * Plot: R ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("89_R", _P_bPTorderingfinalstate_REG_[ind[0]]->r()); - } - } - } - - // Histogram number 90 - // * Plot: Y ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("90_Y", _P_bPTorderingfinalstate_REG_[ind[0]]->y()); - } - } - } - - // Histogram number 91 - // * Plot: BETA ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("91_BETA", _P_bPTorderingfinalstate_REG_[ind[0]]->beta()); - } - } - } - - // Histogram number 92 - // * Plot: GAMMA ( b ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("92_GAMMA", _P_bPTorderingfinalstate_REG_[ind[0]]->gamma()); - } - } - } - - // Histogram number 93 - // * Plot: PT ( b[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("93_PT", _P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->pt()); - } - } - } - - // Histogram number 94 - // * Plot: ETA ( b[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("94_ETA", _P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->eta()); - } - } - } - - // Histogram number 95 - // * Plot: PHI ( b[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("95_PHI", _P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->phi()); - } - } - } - - // Histogram number 96 - // * Plot: E ( b[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("96_E", _P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->e()); - } - } - } - - // Histogram number 97 - // * Plot: MT_MET ( b[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("97_MT_MET", _P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); - } - } - } - - // Histogram number 98 - // * Plot: PT ( b[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("98_PT", _P_b_I2I_PTorderingfinalstate_REG_[ind[0]]->pt()); - } - } - } - - // Histogram number 99 - // * Plot: ETA ( b[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("99_ETA", _P_b_I2I_PTorderingfinalstate_REG_[ind[0]]->eta()); - } - } - } - - // Histogram number 100 - // * Plot: PHI ( b[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("100_PHI", _P_b_I2I_PTorderingfinalstate_REG_[ind[0]]->phi()); - } - } - } - - // Histogram number 101 - // * Plot: E ( b[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("101_E", _P_b_I2I_PTorderingfinalstate_REG_[ind[0]]->e()); - } - } - } - - // Histogram number 102 - // * Plot: MT_MET ( b[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("102_MT_MET", _P_b_I2I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); - } - } - } - - // Histogram number 103 - // * Plot: M ( b[1] b[2] ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_b_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_b_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_b_I1I_PTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_b_I2I_PTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_b_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("103_M", q.m()); - } - } - } - } - - // Histogram number 104 - // * Plot: PT ( b[1] b[2] ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_b_I2I_PTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_b_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_b_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_b_I1I_PTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_b_I2I_PTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_b_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("104_PT", q.pt()); - } - } - } - } - - // Histogram number 105 - // * Plot: DELTAR ( b[1] , b[2] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_b_I1I_PTorderingfinalstate_REG_[a[0]] == _P_b_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("105_DELTAR", _P_b_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_b_I2I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 106 - // * Plot: DPHI_0_PI ( b[1] , b[2] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_b_I1I_PTorderingfinalstate_REG_[a[0]] == _P_b_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("106_DPHI_0_PI", _P_b_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_b_I2I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 107 - // * Plot: DPHI_0_2PI ( b[1] , b[2] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_b_I2I_PTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_b_I1I_PTorderingfinalstate_REG_[a[0]] == _P_b_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("107_DPHI_0_2PI", _P_b_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_b_I2I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 108 - // * Plot: PT ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("108_PT", _P_jPTorderingfinalstate_REG_[ind[0]]->pt()); - } - } - } - - // Histogram number 109 - // * Plot: ETA ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("109_ETA", _P_jPTorderingfinalstate_REG_[ind[0]]->eta()); - } - } - } - - // Histogram number 110 - // * Plot: ABSETA ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("110_ABSETA", _P_jPTorderingfinalstate_REG_[ind[0]]->abseta()); - } - } - } - - // Histogram number 111 - // * Plot: PHI ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("111_PHI", _P_jPTorderingfinalstate_REG_[ind[0]]->phi()); - } - } - } - - // Histogram number 112 - // * Plot: E ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("112_E", _P_jPTorderingfinalstate_REG_[ind[0]]->e()); - } - } - } - - // Histogram number 113 - // * Plot: ET ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("113_ET", _P_jPTorderingfinalstate_REG_[ind[0]]->et()); - } - } - } - - // Histogram number 114 - // * Plot: M ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("114_M", _P_jPTorderingfinalstate_REG_[ind[0]]->m()); - } - } - } - - // Histogram number 115 - // * Plot: MT ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("115_MT", _P_jPTorderingfinalstate_REG_[ind[0]]->mt()); - } - } - } - - // Histogram number 116 - // * Plot: MT_MET ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("116_MT_MET", _P_jPTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); - } - } - } - - // Histogram number 117 - // * Plot: P ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("117_P", _P_jPTorderingfinalstate_REG_[ind[0]]->p()); - } - } - } - - // Histogram number 118 - // * Plot: PX ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("118_PX", _P_jPTorderingfinalstate_REG_[ind[0]]->px()); - } - } - } - - // Histogram number 119 - // * Plot: PY ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("119_PY", _P_jPTorderingfinalstate_REG_[ind[0]]->py()); - } - } - } - - // Histogram number 120 - // * Plot: PZ ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("120_PZ", _P_jPTorderingfinalstate_REG_[ind[0]]->pz()); - } - } - } - - // Histogram number 121 - // * Plot: R ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("121_R", _P_jPTorderingfinalstate_REG_[ind[0]]->r()); - } - } - } - - // Histogram number 122 - // * Plot: Y ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("122_Y", _P_jPTorderingfinalstate_REG_[ind[0]]->y()); - } - } - } - - // Histogram number 123 - // * Plot: BETA ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("123_BETA", _P_jPTorderingfinalstate_REG_[ind[0]]->beta()); - } - } - } - - // Histogram number 124 - // * Plot: GAMMA ( j ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("124_GAMMA", _P_jPTorderingfinalstate_REG_[ind[0]]->gamma()); - } - } - } - - // Histogram number 125 - // * Plot: PT ( j[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("125_PT", _P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->pt()); - } - } - } - - // Histogram number 126 - // * Plot: ETA ( j[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("126_ETA", _P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->eta()); - } - } - } - - // Histogram number 127 - // * Plot: PHI ( j[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("127_PHI", _P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->phi()); - } - } - } - - // Histogram number 128 - // * Plot: E ( j[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("128_E", _P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->e()); - } - } - } - - // Histogram number 129 - // * Plot: MT_MET ( j[1] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("129_MT_MET", _P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); - } - } - } - - // Histogram number 130 - // * Plot: PT ( j[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("130_PT", _P_j_I2I_PTorderingfinalstate_REG_[ind[0]]->pt()); - } - } - } - - // Histogram number 131 - // * Plot: ETA ( j[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("131_ETA", _P_j_I2I_PTorderingfinalstate_REG_[ind[0]]->eta()); - } - } - } - - // Histogram number 132 - // * Plot: PHI ( j[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("132_PHI", _P_j_I2I_PTorderingfinalstate_REG_[ind[0]]->phi()); - } - } - } - - // Histogram number 133 - // * Plot: E ( j[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("133_E", _P_j_I2I_PTorderingfinalstate_REG_[ind[0]]->e()); - } - } - } - - // Histogram number 134 - // * Plot: MT_MET ( j[2] ) - { - { - MAuint32 ind[1]; - for (ind[0]=0;ind[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[0]++) - { - Manager()->FillHisto("134_MT_MET", _P_j_I2I_PTorderingfinalstate_REG_[ind[0]]->mt_met(event.mc()->MET().momentum())); - } - } - } - - // Histogram number 135 - // * Plot: M ( j[1] j[2] ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_j_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_j_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_j_I1I_PTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_j_I2I_PTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_j_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("135_M", q.m()); - } - } - } - } - - // Histogram number 136 - // * Plot: PT ( j[1] j[2] ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_j_I2I_PTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_j_I2I_PTorderingfinalstate_REG_[ind[1]]==_P_j_I1I_PTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_j_I1I_PTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_j_I2I_PTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_j_I2I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("136_PT", q.pt()); - } - } - } - } - - // Histogram number 137 - // * Plot: DELTAR ( j[1] , j[2] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_j_I1I_PTorderingfinalstate_REG_[a[0]] == _P_j_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("137_DELTAR", _P_j_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_j_I2I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 138 - // * Plot: DPHI_0_PI ( j[1] , j[2] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_j_I1I_PTorderingfinalstate_REG_[a[0]] == _P_j_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("138_DPHI_0_PI", _P_j_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_j_I2I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 139 - // * Plot: DPHI_0_2PI ( j[1] , j[2] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_j_I2I_PTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_j_I1I_PTorderingfinalstate_REG_[a[0]] == _P_j_I2I_PTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("139_DPHI_0_2PI", _P_j_I1I_PTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_j_I2I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 140 - // * Plot: DELTAR ( e , e ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_ePTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_ePTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_ePTorderingfinalstate_REG_[a[0]] == _P_ePTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("140_DELTAR", _P_ePTorderingfinalstate_REG_[a[0]]->dr(_P_ePTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 141 - // * Plot: DPHI_0_PI ( e , e ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_ePTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_ePTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_ePTorderingfinalstate_REG_[a[0]] == _P_ePTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("141_DPHI_0_PI", _P_ePTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_ePTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 142 - // * Plot: DPHI_0_2PI ( e , e ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_ePTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_ePTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_ePTorderingfinalstate_REG_[a[0]] == _P_ePTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("142_DPHI_0_2PI", _P_ePTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_ePTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 143 - // * Plot: M ( e e ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_ePTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_ePTorderingfinalstate_REG_[ind[1]]==_P_ePTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_ePTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_ePTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_ePTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("143_M", q.m()); - } - } - } - } - - // Histogram number 144 - // * Plot: PT ( e e ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_ePTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_ePTorderingfinalstate_REG_[ind[1]]==_P_ePTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_ePTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_ePTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_ePTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("144_PT", q.pt()); - } - } - } - } - - // Histogram number 145 - // * Plot: DELTAR ( mu , mu ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_muPTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_muPTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_muPTorderingfinalstate_REG_[a[0]] == _P_muPTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("145_DELTAR", _P_muPTorderingfinalstate_REG_[a[0]]->dr(_P_muPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 146 - // * Plot: DPHI_0_PI ( mu , mu ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_muPTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_muPTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_muPTorderingfinalstate_REG_[a[0]] == _P_muPTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("146_DPHI_0_PI", _P_muPTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_muPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 147 - // * Plot: DPHI_0_2PI ( mu , mu ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_muPTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_muPTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_muPTorderingfinalstate_REG_[a[0]] == _P_muPTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("147_DPHI_0_2PI", _P_muPTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_muPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 148 - // * Plot: M ( mu mu ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_muPTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_muPTorderingfinalstate_REG_[ind[1]]==_P_muPTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_muPTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_muPTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_muPTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("148_M", q.m()); - } - } - } - } - - // Histogram number 149 - // * Plot: PT ( mu mu ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_muPTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_muPTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_muPTorderingfinalstate_REG_[ind[1]]==_P_muPTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_muPTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_muPTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_muPTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("149_PT", q.pt()); - } - } - } - } - - // Histogram number 150 - // * Plot: DELTAR ( b , b ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_bPTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_bPTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_bPTorderingfinalstate_REG_[a[0]] == _P_bPTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("150_DELTAR", _P_bPTorderingfinalstate_REG_[a[0]]->dr(_P_bPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 151 - // * Plot: DPHI_0_PI ( b , b ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_bPTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_bPTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_bPTorderingfinalstate_REG_[a[0]] == _P_bPTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("151_DPHI_0_PI", _P_bPTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_bPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 152 - // * Plot: DPHI_0_2PI ( b , b ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_bPTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_bPTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_bPTorderingfinalstate_REG_[a[0]] == _P_bPTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("152_DPHI_0_2PI", _P_bPTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_bPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 153 - // * Plot: M ( b b ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_bPTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_bPTorderingfinalstate_REG_[ind[1]]==_P_bPTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_bPTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_bPTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_bPTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("153_M", q.m()); - } - } - } - } - - // Histogram number 154 - // * Plot: PT ( b b ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_bPTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_bPTorderingfinalstate_REG_[ind[1]]==_P_bPTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_bPTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_bPTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_bPTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("154_PT", q.pt()); - } - } - } - } - - // Histogram number 155 - // * Plot: DELTAR ( j , j ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_jPTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_jPTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_jPTorderingfinalstate_REG_[a[0]] == _P_jPTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("155_DELTAR", _P_jPTorderingfinalstate_REG_[a[0]]->dr(_P_jPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 156 - // * Plot: DPHI_0_PI ( j , j ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_jPTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_jPTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_jPTorderingfinalstate_REG_[a[0]] == _P_jPTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("156_DPHI_0_PI", _P_jPTorderingfinalstate_REG_[a[0]]->dphi_0_pi(_P_jPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 157 - // * Plot: DPHI_0_2PI ( j , j ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_jPTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_jPTorderingfinalstate_REG_.size();b[0]++) - { - if ( _P_jPTorderingfinalstate_REG_[a[0]] == _P_jPTorderingfinalstate_REG_[b[0]] ) continue; - Manager()->FillHisto("157_DPHI_0_2PI", _P_jPTorderingfinalstate_REG_[a[0]]->dphi_0_2pi(_P_jPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 158 - // * Plot: M ( j j ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_jPTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_jPTorderingfinalstate_REG_[ind[1]]==_P_jPTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_jPTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_jPTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_jPTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("158_M", q.m()); - } - } - } - } - - // Histogram number 159 - // * Plot: PT ( j j ) - { - { - MAuint32 ind[2]; - std::vector > combis; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_jPTorderingfinalstate_REG_.size();ind[1]++) - { - if (_P_jPTorderingfinalstate_REG_[ind[1]]==_P_jPTorderingfinalstate_REG_[ind[0]]) continue; - - // Checking if consistent combination - std::set mycombi; - for (MAuint32 i=0;i<2;i++) - { - mycombi.insert(_P_jPTorderingfinalstate_REG_[ind[i]]); - mycombi.insert(_P_jPTorderingfinalstate_REG_[ind[i]]); - } - MAbool matched=false; - for (MAuint32 i=0;imomentum(); - q+=_P_jPTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("159_PT", q.pt()); - } - } - } - } - - // Histogram number 160 - // * Plot: DELTAR ( e , mu ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_ePTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_muPTorderingfinalstate_REG_.size();b[0]++) - { - Manager()->FillHisto("160_DELTAR", _P_ePTorderingfinalstate_REG_[a[0]]->dr(_P_muPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 161 - // * Plot: DELTAR ( e , j ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_ePTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_jPTorderingfinalstate_REG_.size();b[0]++) - { - Manager()->FillHisto("161_DELTAR", _P_ePTorderingfinalstate_REG_[a[0]]->dr(_P_jPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 162 - // * Plot: DELTAR ( mu , j ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_muPTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_jPTorderingfinalstate_REG_.size();b[0]++) - { - Manager()->FillHisto("162_DELTAR", _P_muPTorderingfinalstate_REG_[a[0]]->dr(_P_jPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 163 - // * Plot: DELTAR ( b , j ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_bPTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_jPTorderingfinalstate_REG_.size();b[0]++) - { - Manager()->FillHisto("163_DELTAR", _P_bPTorderingfinalstate_REG_[a[0]]->dr(_P_jPTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 164 - // * Plot: M ( e mu ) - { - { - MAuint32 ind[2]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_muPTorderingfinalstate_REG_.size();ind[1]++) - { - ParticleBaseFormat q; - q+=_P_ePTorderingfinalstate_REG_[ind[0]]->momentum(); - q+=_P_muPTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("164_M", q.m()); - } - } - } - } - - // Histogram number 165 - // * Plot: M ( e j ) - { - { - MAuint32 ind[2]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_jPTorderingfinalstate_REG_.size();ind[1]++) - { - ParticleBaseFormat q; - q+=_P_ePTorderingfinalstate_REG_[ind[0]]->momentum(); - q+=_P_jPTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("165_M", q.m()); - } - } - } - } - - // Histogram number 166 - // * Plot: M ( j mu ) - { - { - MAuint32 ind[2]; - for (ind[0]=0;ind[0]<_P_jPTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_muPTorderingfinalstate_REG_.size();ind[1]++) - { - ParticleBaseFormat q; - q+=_P_jPTorderingfinalstate_REG_[ind[0]]->momentum(); - q+=_P_muPTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("166_M", q.m()); - } - } - } - } - - // Histogram number 167 - // * Plot: M ( b j ) - { - { - MAuint32 ind[2]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_jPTorderingfinalstate_REG_.size();ind[1]++) - { - ParticleBaseFormat q; - q+=_P_bPTorderingfinalstate_REG_[ind[0]]->momentum(); - q+=_P_jPTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("167_M", q.m()); - } - } - } - } - - // Histogram number 168 - // * Plot: PT ( e mu ) - { - { - MAuint32 ind[2]; - for (ind[0]=0;ind[0]<_P_ePTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_muPTorderingfinalstate_REG_.size();ind[1]++) - { - ParticleBaseFormat q; - q+=_P_ePTorderingfinalstate_REG_[ind[0]]->momentum(); - q+=_P_muPTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("168_PT", q.pt()); - } - } - } - } - - // Histogram number 169 - // * Plot: PT ( b j ) - { - { - MAuint32 ind[2]; - for (ind[0]=0;ind[0]<_P_bPTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_jPTorderingfinalstate_REG_.size();ind[1]++) - { - ParticleBaseFormat q; - q+=_P_bPTorderingfinalstate_REG_[ind[0]]->momentum(); - q+=_P_jPTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("169_PT", q.pt()); - } - } - } - } - - // Histogram number 170 - // * Plot: DELTAR ( e[1] , mu[1] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();b[0]++) - { - Manager()->FillHisto("170_DELTAR", _P_e_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_mu_I1I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 171 - // * Plot: DELTAR ( e[1] , j[1] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();b[0]++) - { - Manager()->FillHisto("171_DELTAR", _P_e_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_j_I1I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 172 - // * Plot: DELTAR ( mu[1] , j[1] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_mu_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();b[0]++) - { - Manager()->FillHisto("172_DELTAR", _P_mu_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_j_I1I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 173 - // * Plot: DELTAR ( b[1] , j[1] ) - { - { - MAuint32 a[1]; - for (a[0]=0;a[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();a[0]++) - { - MAuint32 b[1]; - for (b[0]=0;b[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();b[0]++) - { - Manager()->FillHisto("173_DELTAR", _P_b_I1I_PTorderingfinalstate_REG_[a[0]]->dr(_P_j_I1I_PTorderingfinalstate_REG_[b[0]])); - } - } - } - } - - // Histogram number 174 - // * Plot: M ( e[1] mu[1] ) - { - { - MAuint32 ind[2]; - for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[1]++) - { - ParticleBaseFormat q; - q+=_P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); - q+=_P_mu_I1I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("174_M", q.m()); - } - } - } - } - - // Histogram number 175 - // * Plot: M ( e[1] j[1] ) - { - { - MAuint32 ind[2]; - for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[1]++) - { - ParticleBaseFormat q; - q+=_P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); - q+=_P_j_I1I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("175_M", q.m()); - } - } - } - } - - // Histogram number 176 - // * Plot: M ( j[1] mu[1] ) - { - { - MAuint32 ind[2]; - for (ind[0]=0;ind[0]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[1]++) - { - ParticleBaseFormat q; - q+=_P_j_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); - q+=_P_mu_I1I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("176_M", q.m()); - } - } - } - } - - // Histogram number 177 - // * Plot: M ( b[1] j[1] ) - { - { - MAuint32 ind[2]; - for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[1]++) - { - ParticleBaseFormat q; - q+=_P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); - q+=_P_j_I1I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("177_M", q.m()); - } - } - } - } - - // Histogram number 178 - // * Plot: PT ( e[1] mu[1] ) - { - { - MAuint32 ind[2]; - for (ind[0]=0;ind[0]<_P_e_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_mu_I1I_PTorderingfinalstate_REG_.size();ind[1]++) - { - ParticleBaseFormat q; - q+=_P_e_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); - q+=_P_mu_I1I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("178_PT", q.pt()); - } - } - } - } - - // Histogram number 179 - // * Plot: PT ( b[1] j[1] ) - { - { - MAuint32 ind[2]; - for (ind[0]=0;ind[0]<_P_b_I1I_PTorderingfinalstate_REG_.size();ind[0]++) - { - for (ind[1]=0;ind[1]<_P_j_I1I_PTorderingfinalstate_REG_.size();ind[1]++) - { - ParticleBaseFormat q; - q+=_P_b_I1I_PTorderingfinalstate_REG_[ind[0]]->momentum(); - q+=_P_j_I1I_PTorderingfinalstate_REG_[ind[1]]->momentum(); - Manager()->FillHisto("179_PT", q.pt()); - } - } - } - } - - return true; -} - -void user::Finalize(const SampleFormat& summary, const std::vector& files) -{ -} diff --git a/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/user.h b/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/user.h deleted file mode 100644 index 4486ed3b..00000000 --- a/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/user.h +++ /dev/null @@ -1,56 +0,0 @@ -#ifndef analysis_user_h -#define analysis_user_h - -#include "SampleAnalyzer/Process/Analyzer/AnalyzerBase.h" -#include "SampleAnalyzer/Interfaces/root/RootMainHeaders.h" - -namespace MA5 -{ -class user : public AnalyzerBase -{ - INIT_ANALYSIS(user, "MadAnalysis5job") - - public : - MAbool Initialize(const MA5::Configuration& cfg, - const std::map& parameters); - void Finalize(const SampleFormat& summary, const std::vector& files); - MAbool Execute(SampleFormat& sample, const EventFormat& event); - - private : - // Declaring particle containers - std::vector _P_e_I2I_PTorderingfinalstate_REG_; - std::vector _P_mu_I2I_PTorderingfinalstate_REG_; - std::vector _P_b_I2I_PTorderingfinalstate_REG_; - std::vector _P_j_I2I_PTorderingfinalstate_REG_; - std::vector _P_e_I1I_PTorderingfinalstate_REG_; - std::vector _P_mu_I1I_PTorderingfinalstate_REG_; - std::vector _P_b_I1I_PTorderingfinalstate_REG_; - std::vector _P_j_I1I_PTorderingfinalstate_REG_; - std::vector _P_ePTorderingfinalstate_REG_; - MAbool isP__ePTorderingfinalstate(const MCParticleFormat* part) const { - if ( part==0 ) return false; - if ( !PHYSICS->Id->IsFinalState(part) ) return false; - if ( (part->pdgid()!=-11)&&(part->pdgid()!=11) ) return false; - return true; } - std::vector _P_muPTorderingfinalstate_REG_; - MAbool isP__muPTorderingfinalstate(const MCParticleFormat* part) const { - if ( part==0 ) return false; - if ( !PHYSICS->Id->IsFinalState(part) ) return false; - if ( (part->pdgid()!=-13)&&(part->pdgid()!=13) ) return false; - return true; } - std::vector _P_bPTorderingfinalstate_REG_; - MAbool isP__bPTorderingfinalstate(const MCParticleFormat* part) const { - if ( part==0 ) return false; - if ( !PHYSICS->Id->IsFinalState(part) ) return false; - if ( (part->pdgid()!=5) ) return false; - return true; } - std::vector _P_jPTorderingfinalstate_REG_; - MAbool isP__jPTorderingfinalstate(const MCParticleFormat* part) const { - if ( part==0 ) return false; - if ( !PHYSICS->Id->IsFinalState(part) ) return false; - if ( (part->pdgid()!=-4)&&(part->pdgid()!=-3)&&(part->pdgid()!=-2)&&(part->pdgid()!=-1)&&(part->pdgid()!=1)&&(part->pdgid()!=2)&&(part->pdgid()!=3)&&(part->pdgid()!=4)&&(part->pdgid()!=21) ) return false; - return true; } -}; -} - -#endif \ No newline at end of file diff --git a/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/user.o b/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/User/Analyzer/user.o deleted file mode 100644 index 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z)sKzn+m1)s_ge57I64_PY*w8LN%p8y5to@-3KC!X(F*meN2gpp@)HXVO8u#pRX%jD z@`$}UTCvQr(J{ParB=k6HH#F@DfTkpyL%x#wt^n%9)ni2{ANP*%|HFzq$Y61^0dnQ zCEXg8_t4)#xAHkc= z9IPMlU&m{S1J*_Q0ocN0Z&O|!r;A@8dPex1`J-((j= z{j^vyR?=)yd#t48uZ)uy_0wX-xRMsL#}%WMdATb?YN%TtZmftpOhj?iQW7o3N?LKW zGFH-xqLs0dRv4{BX~pD3jaoshXp0r|qs3TB%Zpa#Y0;t05Vt%n=tfUpj>;=&xO386-QKJ?s z#!6a#)Q(beV-pxHmPAWhakPk1a-v01 zqZTX1N?Kvm9xG`DE92Orep;*;D{1*rd#scft;^G*MLdxa9Zs~Amm4i=u_Ed)A9)66 z1Ac>2-io1>RT#z#o$o?40kz-6#qY55{^Xx diff --git a/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/newAnalyzer.py b/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/newAnalyzer.py deleted file mode 100755 index ff643da6..00000000 --- a/validation/outputs/lhe_histos_0/Build/SampleAnalyzer/newAnalyzer.py +++ /dev/null @@ -1,439 +0,0 @@ -#!/usr/bin/env python - -################################################################################ -# -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks -# The MadAnalysis development team, email: -# -# This file is part of MadAnalysis 5. -# Official website: -# -# MadAnalysis 5 is free software: you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation, either version 3 of the License, or -# (at your option) any later version. -# -# MadAnalysis 5 is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with MadAnalysis 5. If not, see -# -################################################################################ - - -from __future__ import absolute_import -from __future__ import print_function -import os -import sys -import shutil -from six.moves import input - -class AnalyzerManager: - - def __init__(self,name,title): - self.name = name - self.title = title - self.currentdir = os.getcwd() - - def CheckFilePresence(self): - if not os.path.isdir(self.currentdir + "/User/Analyzer"): - print(" Error: the directory called 'User/Analyzer' is not found.") - return False - if os.path.isfile(self.currentdir + "/User/Analyzer/" + self.name + ".cpp"): - print(" Error: a file called 'User/Analyzer/"+self.name+\ - ".cpp' is already defined.") - print(" Please remove this file before.") - return False - if os.path.isfile(self.currentdir + "/User/Analyzer/" + self.name + ".h"): - print(" Error: a file called 'User/Analyzer/"+self.name+\ - ".h' is already defined.") - print(" Please remove this file before.") - return False - return True - - def AddAnalyzer(self): - # creating the file from scratch - if not os.path.isfile(self.currentdir + "/User/Analyzer/analysisList.h"): - output = open(self.currentdir + "/User/Analyzer/analysisList.h","w") - path = os.path.normpath(self.name+".h") - output.write('#include "SampleAnalyzer/User/Analyzer/'+path+'"\n') - output.write('#include "SampleAnalyzer/Process/Analyzer/AnalyzerManager.h"\n') - output.write('#include "SampleAnalyzer/Commons/Service/LogStream.h"\n') - output.write('\n') - output.write('// -----------------------------------------------------------------------------\n') - output.write('// BuildTable\n') - output.write('// -----------------------------------------------------------------------------\n') - output.write('void BuildUserTable(MA5::AnalyzerManager& manager)\n') - output.write('{\n') - output.write(' using namespace MA5;\n') - output.write(' manager.Add("'+self.title+'",new '+self.name+");\n") - output.write('}\n') - output.close() - - # updating the file - else: - shutil.copy(self.currentdir + "/User/Analyzer/analysisList.h", - self.currentdir + "/User/Analyzer/analysisList.bak") - output = open(self.currentdir + "/User/Analyzer/analysisList.h","w") - input = open(self.currentdir + "/User/Analyzer/analysisList.bak") - - path = os.path.normpath(self.name+".h") - output.write('#include "SampleAnalyzer/User/Analyzer/'+path+'"\n') - - for line in input: - - theline = line.lstrip() - theline = theline.split() - tit = self.title.replace(' ','_') - for word in theline: - if word=="}": - output.write(' manager.Add("'+self.title+'",new '+self.name+');\n') - continue - - output.write(line) - - input.close() - output.close() - - def WriteHeader(self): - - file = open(self.currentdir + "/User/Analyzer/" + self.name + ".h","w") - file.write('#ifndef ANALYSIS_'+self.name.upper()+'_H\n') - file.write('#define ANALYSIS_'+self.name.upper()+'_H\n\n') - file.write('#include "SampleAnalyzer/Process/Analyzer/AnalyzerBase.h"\n\n') - file.write('namespace MA5\n') - file.write('{\n') - file.write(' class '+self.name+' : public AnalyzerBase\n') - file.write(' {\n') - file.write(' INIT_ANALYSIS('+self.name+', "'+self.title+'")\n\n') - file.write(' public:\n') - file.write(' bool Initialize(const MA5::Configuration& cfg,\n') - file.write(' const std::map& parameters);\n') - file.write(' void Finalize(const SampleFormat& summary, const std::vector& files);\n') - file.write(' bool Execute(SampleFormat& sample, const EventFormat& event);\n\n') - file.write(' private:\n') - file.write(' };\n') - file.write('}\n\n') - file.write('#endif // ANALYSIS_'+self.name.upper()+'_H') - file.close() - def WriteSource(self): - - file = open(self.currentdir + "/User/Analyzer/" + self.name + ".cpp","w") - file.write('#include "SampleAnalyzer/User/Analyzer/'+self.name+'.h"\n') - file.write('using namespace MA5;\n') - file.write('using namespace std;\n') - file.write('\n') - file.write('// -----------------------------------------------------------------------------\n') - file.write('// Initialize\n') - file.write('// function called one time at the beginning of the analysis\n') - file.write('// -----------------------------------------------------------------------------\n') - file.write('bool '+self.name+'::Initialize(const MA5::Configuration& cfg, const std::map& parameters)\n') - file.write('{\n') - file.write(' cout << "BEGIN Initialization" << endl;\n') - file.write(' // initialize variables, histos\n') - file.write(' cout << "END Initialization" << endl;\n') - file.write(' return true;\n') - file.write('}\n') - file.write('\n') - file.write('// -----------------------------------------------------------------------------\n') - file.write('// Finalize\n') - file.write('// function called one time at the end of the analysis\n') - file.write('// -----------------------------------------------------------------------------\n') - file.write('void '+self.name+'::Finalize(const SampleFormat& summary, const std::vector& files)\n') - file.write('{\n') - file.write(' cout << "BEGIN Finalization" << endl;\n') - file.write(' // saving histos\n') - file.write(' cout << "END Finalization" << endl;\n') - file.write('}\n') - file.write('\n') - file.write('// -----------------------------------------------------------------------------\n') - file.write('// Execute\n') - file.write('// function called each time one event is read\n') - file.write('// -----------------------------------------------------------------------------\n') - file.write('bool '+self.name+'::Execute(SampleFormat& sample, const EventFormat& event)\n') - file.write('{\n') - file.write(' // ***************************************************************************\n') - file.write(' // Example of analysis with generated particles\n') - file.write(' // Concerned samples : LHE/STDHEP/HEPMC\n') - file.write(' // ***************************************************************************\n') - file.write(' /*\n') - file.write(' if (event.mc()!=0)\n') - file.write(' {\n') - file.write(' cout << "---------------NEW EVENT-------------------" << endl;\n') - file.write('\n') - file.write(' // Event weight\n') - file.write(' double myWeight=1.;\n') - file.write(' if (!Configuration().IsNoEventWeight()) myWeight=event.mc()->weight();\n') - file.write('\n') - file.write(' // Initial state\n') - file.write(' for (MAuint32 i=0;iparticles().size();i++)\n') - file.write(' {\n') - file.write(' const MCParticleFormat& part = event.mc()->particles()[i];\n') - file.write('\n') - file.write(' cout << "----------------------------------" << endl;\n') - file.write(' cout << "MC particle" << endl;\n') - file.write(' cout << "----------------------------------" << endl;\n') - file.write('\n') - file.write(' // display index particle\n') - file.write(' cout << "index=" << i+1;\n') - file.write('\n') - file.write(' // display the status code\n') - file.write(' cout << "Status Code=" << part.statuscode() << endl;\n') - file.write(' if (PHYSICS->Id->IsInitialState(part)) cout << " (Initial state) ";\n') - file.write(' else if (PHYSICS->Id->IsFinalState(part)) cout << " (Final state) ";\n') - file.write(' else cout << " (Intermediate state) ";\n') - file.write(' cout << endl;\n') - file.write('\n') - file.write(' // pdgid\n') - file.write(' cout << "pdg id=" << part.pdgid() << endl;\n') - file.write(' if (PHYSICS->Id->IsInvisible(part)) cout << " (invisible particle) ";\n') - file.write(' else cout << " (visible particle) ";\n') - file.write(' cout << endl;\n') - file.write('\n') - file.write(' // display kinematics information\n') - file.write(' cout << "px=" << part.px()\n') - file.write(' << " py=" << part.py()\n') - file.write(' << " pz=" << part.pz()\n') - file.write(' << " e=" << part.e()\n') - file.write(' << " m=" << part.m() << endl;\n') - file.write(' cout << "pt=" << part.pt() \n') - file.write(' << " eta=" << part.eta() \n') - file.write(' << " phi=" << part.phi() << endl;\n') - file.write('\n') - file.write(' // display particle mother id\n') - file.write(' if (part.mothers().empty()) \n') - file.write(' {\n') - file.write(' cout << "particle with no mother." << endl;\n') - file.write(' }\n') - file.write(' else\n') - file.write(' {\n') - file.write(' std::cout << "particle coming from the decay of";\n') - file.write(' for(MAuint32 j=0;jpdgid();\n') - file.write(' }\n') - file.write(' std::cout << "." << endl;\n') - file.write(' }\n') - file.write(' }\n') - file.write('\n') - file.write(' // Transverse missing energy (MET)\n') - file.write(' cout << "MET pt=" << event.mc()->MET().pt()\n') - file.write(' << " phi=" << event.mc()->MET().phi() << endl;\n') - file.write(' cout << endl;\n') - file.write('\n') - file.write(' // Transverse missing hadronic energy (MHT)\n') - file.write(' cout << "MHT pt=" << event.mc()->MHT().pt()\n') - file.write(' << " phi=" << event.mc()->MHT().phi() << endl;\n') - file.write(' cout << endl;\n') - file.write('\n') - file.write(' // Total transverse energy (TET)\n') - file.write(' cout << "TET=" << event.mc()->TET() << endl;\n') - file.write(' cout << endl;\n') - file.write('\n') - file.write(' // Total transverse hadronic energy (THT)\n') - file.write(' cout << "THT=" << event.mc()->THT() << endl; \n') - file.write(' cout << endl;\n') - file.write('\n') - file.write(' return true;\n') - file.write(' }\n') - file.write(' */\n') - file.write('\n\n') - file.write(' // ***************************************************************************\n') - file.write(' // Example of analysis with reconstructed objects\n') - file.write(' // Concerned samples : \n') - file.write(' // - LHCO samples\n') - file.write(' // - LHE/STDHEP/HEPMC samples after applying jet-clustering algorithm\n') - file.write(' // ***************************************************************************\n') - file.write(' /*\n') - file.write(' // Event weight\n') - file.write(' double myWeight=1.;\n') - file.write(' if (!Configuration().IsNoEventWeight() && event.mc()!=0) myWeight=event.mc()->weight();\n') - file.write('\n') - file.write(' Manager()->InitializeForNewEvent(myWeight);\n\n') - file.write(' if (event.rec()!=0)\n') - file.write(' {\n') - file.write(' cout << "---------------NEW EVENT-------------------" << endl;\n') - file.write('\n') - file.write(' // Looking through the reconstructed electron collection\n') - file.write(' for (MAuint32 i=0;ielectrons().size();i++)\n') - file.write(' {\n') - file.write(' const RecLeptonFormat& elec = event.rec()->electrons()[i];\n') - file.write(' cout << "----------------------------------" << endl;\n') - file.write(' cout << "Electron" << endl;\n') - file.write(' cout << "----------------------------------" << endl;\n') - file.write(' cout << "index=" << i+1 \n') - file.write(' << " charge=" << elec.charge() << endl;\n') - file.write(' cout << "px=" << elec.px()\n') - file.write(' << " py=" << elec.py()\n') - file.write(' << " pz=" << elec.pz()\n') - file.write(' << " e=" << elec.e()\n') - file.write(' << " m=" << elec.m() << endl;\n') - file.write(' cout << "pt=" << elec.pt() \n') - file.write(' << " eta=" << elec.eta() \n') - file.write(' << " phi=" << elec.phi() << endl;\n') - file.write(' cout << "pointer address to the matching MC particle: " \n') - file.write(' << elec.mc() << endl;\n') - file.write(' cout << endl;\n') - file.write(' }\n') - file.write('\n') - file.write(' // Looking through the reconstructed muon collection\n') - file.write(' for (MAuint32 i=0;imuons().size();i++)\n') - file.write(' {\n') - file.write(' const RecLeptonFormat& mu = event.rec()->muons()[i];\n') - file.write(' cout << "----------------------------------" << endl;\n') - file.write(' cout << "Muon" << endl;\n') - file.write(' cout << "----------------------------------" << endl;\n') - file.write(' cout << "index=" << i+1 \n') - file.write(' << " charge=" << mu.charge() << endl;\n') - file.write(' cout << "px=" << mu.px()\n') - file.write(' << " py=" << mu.py()\n') - file.write(' << " pz=" << mu.pz()\n') - file.write(' << " e=" << mu.e()\n') - file.write(' << " m=" << mu.m() << endl;\n') - file.write(' cout << "pt=" << mu.pt() \n') - file.write(' << " eta=" << mu.eta() \n') - file.write(' << " phi=" << mu.phi() << endl;\n') - file.write(' cout << "ET/PT isolation criterion =" << mu.ET_PT_isol() << endl;\n') - file.write(' cout << "pointer address to the matching MC particle: " \n') - file.write(' << mu.mc() << endl;\n') - file.write(' cout << endl;\n') - file.write(' }\n') - file.write('\n') - file.write(' // Looking through the reconstructed hadronic tau collection\n') - file.write(' for (MAuint32 i=0;itaus().size();i++)\n') - file.write(' {\n') - file.write(' const RecTauFormat& tau = event.rec()->taus()[i];\n') - file.write(' cout << "----------------------------------" << endl;\n') - file.write(' cout << "Tau" << endl;\n') - file.write(' cout << "----------------------------------" << endl;\n') - file.write(' cout << "tau: index=" << i+1 \n') - file.write(' << " charge=" << tau.charge() << endl;\n') - file.write(' cout << "px=" << tau.px()\n') - file.write(' << " py=" << tau.py()\n') - file.write(' << " pz=" << tau.pz()\n') - file.write(' << " e=" << tau.e()\n') - file.write(' << " m=" << tau.m() << endl;\n') - file.write(' cout << "pt=" << tau.pt() \n') - file.write(' << " eta=" << tau.eta() \n') - file.write(' << " phi=" << tau.phi() << endl;\n') - file.write(' cout << "pointer address to the matching MC particle: " \n') - file.write(' << tau.mc() << endl;\n') - file.write(' cout << endl;\n') - file.write(' }\n') - file.write('\n') - file.write(' // Looking through the reconstructed jet collection\n') - file.write(' for (MAuint32 i=0;ijets().size();i++)\n') - file.write(' {\n') - file.write(' const RecJetFormat& jet = event.rec()->jets()[i];\n') - file.write(' cout << "----------------------------------" << endl;\n') - file.write(' cout << "Jet" << endl;\n') - file.write(' cout << "----------------------------------" << endl;\n') - file.write(' cout << "jet: index=" << i+1 \n') - file.write(' << " charge=" << jet.charge() << endl;\n') - file.write(' cout << "px=" << jet.px()\n') - file.write(' << " py=" << jet.py()\n') - file.write(' << " pz=" << jet.pz()\n') - file.write(' << " e=" << jet.e()\n') - file.write(' << " m=" << jet.m() << endl;\n') - file.write(' cout << "pt=" << jet.pt() \n') - file.write(' << " eta=" << jet.eta() \n') - file.write(' << " phi=" << jet.phi() << endl;\n') - file.write(' cout << "b-tag=" << jet.btag()\n') - file.write(' << " true b-tag (before eventual efficiency)=" \n') - file.write(' << jet.true_btag() << endl;\n') - file.write(' cout << "EE/HE=" << jet.EEoverHE()\n') - file.write(' << " ntracks=" << jet.ntracks() << endl;\n') - file.write(' cout << endl;\n') - file.write(' }\n') - file.write('\n') - file.write(' // Transverse missing energy (MET)\n') - file.write(' cout << "MET pt=" << event.rec()->MET().pt()\n') - file.write(' << " phi=" << event.rec()->MET().phi() << endl;\n') - file.write(' cout << endl;\n') - file.write('\n') - file.write(' // Transverse missing hadronic energy (MHT)\n') - file.write(' cout << "MHT pt=" << event.rec()->MHT().pt()\n') - file.write(' << " phi=" << event.rec()->MHT().phi() << endl;\n') - file.write(' cout << endl;\n') - file.write('\n') - file.write(' // Total transverse energy (TET)\n') - file.write(' cout << "TET=" << event.rec()->TET() << endl;\n') - file.write(' cout << endl;\n') - file.write('\n') - file.write(' // Total transverse hadronic energy (THT)\n') - file.write(' cout << "THT=" << event.rec()->THT() << endl;\n') - file.write(' cout << endl;\n') - file.write(' }\n') - file.write(' */\n') - file.write(' return true;\n') - file.write('}\n') - file.write('\n') - file.close() - - def UpdateMain(self,title): - if not os.path.isfile(self.currentdir + "/../Main/main.cpp"): - return; - else: - shutil.copy(self.currentdir + "/../Main/main.cpp", - self.currentdir + "/../Main/main.bak") - output = open(self.currentdir + "/../Main/main.cpp","w") - input = open(self.currentdir + "/../Main/main.bak") - IsExecuted=False - for line in input: - if "Getting pointer to the analyzer" in line: - output.write(line) - TheName = title.replace(' ','_'); - TheName = title.replace('-','_'); - output.write(" std::map prm" + TheName + ";\n") - output.write(" AnalyzerBase* analyzer_" + TheName + "=\n") - output.write(" manager.InitializeAnalyzer(\"" + TheName + "\",\"" +\ - title + ".saf\",prm" + TheName + ");\n") - output.write(" if (analyzer_" + TheName + "==0) return 1;\n\n") - elif "Execute" in line and not IsExecuted: - IsExecuted = True - output.write(" if (!analyzer_" + TheName + "->Execute(mySample,myEvent)) continue;\n") - output.write(line) - else: - output.write(line) - - - -# Reading arguments -mute=False -if len(sys.argv)==3: - mute=True -elif len(sys.argv)!=2: - print(" Error: number of argument incorrect") - print(" Syntax: ./newAnalyzer.py name") - print(" with name the name of the analyzer") - sys.exit() - - -print(" A new class called '" + sys.argv[1] + "' will be created.") -if not mute: - print(" Please enter a title for your analyzer : ") - title=input(" Title : ") -else: - title=sys.argv[1] - -analyzer = AnalyzerManager(sys.argv[1],title) - -# Checking presence of required files -if not analyzer.CheckFilePresence(): - sys.exit() - -analyzer.UpdateMain(title) -analyzer.WriteHeader() -analyzer.WriteSource() - -# Adding analysis in analysisList.h -analyzer.AddAnalyzer() - -print(" Done !") - - - diff --git a/validation/outputs/lhe_histos_0/Build/setup.csh b/validation/outputs/lhe_histos_0/Build/setup.csh deleted file mode 100644 index 88b5bbff..00000000 --- a/validation/outputs/lhe_histos_0/Build/setup.csh +++ /dev/null @@ -1,41 +0,0 @@ -#!/bin/csh -f - -# Defining colours for shell -set GREEN = "\033[1;32m" -set RED = "\033[1;31m" -set PINK = "\033[1;35m" -set BLUE = "\033[1;34m" -set YELLOW = "\033[1;33m" -set CYAN = "\033[1;36m" -set NORMAL = "\033[0;39m" - -# Configuring MA5 environment variable -setenv MA5_BASE /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5 - -# Configuring PATH environment variable -if ( $?PATH ) then -setenv PATH $MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Bin:/Applications/Root/bin:"$PATH" -else -setenv PATH $MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Bin:/Applications/Root/bin -endif - -# Configuring LD_LIBRARY_PATH environment variable -if ( $?LD_LIBRARY_PATH ) then -setenv LD_LIBRARY_PATH $MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib:"$LD_LIBRARY_PATH" -else -setenv LD_LIBRARY_PATH $MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib -endif - -# Configuring DYLD_LIBRARY_PATH environment variable -if ( $?DYLD_LIBRARY_PATH ) then -setenv DYLD_LIBRARY_PATH $MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib:"$DYLD_LIBRARY_PATH" -else -setenv DYLD_LIBRARY_PATH $MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib -endif - -# Checking that all environment variables are defined -if ( $?MA5_BASE && $?PATH && $?LD_LIBRARY_PATH && $?DYLD_LIBRARY_PATH ) then -echo $YELLOW"--------------------------------------------------------" -echo " Your environment is properly configured for MA5 " -echo "--------------------------------------------------------"$NORMAL -endif diff --git a/validation/outputs/lhe_histos_0/Build/setup.sh b/validation/outputs/lhe_histos_0/Build/setup.sh deleted file mode 100644 index 7f11edc4..00000000 --- a/validation/outputs/lhe_histos_0/Build/setup.sh +++ /dev/null @@ -1,41 +0,0 @@ -#!/bin/sh - -# Defining colours for shell -GREEN="\\033[1;32m" -RED="\\033[1;31m" -PINK="\\033[1;35m" -BLUE="\\033[1;34m" -YELLOW="\\033[1;33m" -CYAN="\\033[1;36m" -NORMAL="\\033[0;39m" - -# Configuring MA5 environment variable -export MA5_BASE=/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5 - -# Configuring PATH environment variable -if [ $PATH ]; then -export PATH=$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Bin:/Applications/Root/bin:$PATH -else -export PATH=$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Bin:/Applications/Root/bin -fi - -# Configuring LD_LIBRARY_PATH environment variable -if [ $LD_LIBRARY_PATH ]; then -export LD_LIBRARY_PATH=$MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib:$LD_LIBRARY_PATH -else -export LD_LIBRARY_PATH=$MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib -fi - -# Configuring DYLD_LIBRARY_PATH environment variable -if [ $DYLD_LIBRARY_PATH ]; then -export DYLD_LIBRARY_PATH=$MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib:$DYLD_LIBRARY_PATH -else -export DYLD_LIBRARY_PATH=$MA5_BASE/tools/SampleAnalyzer/Lib:$MA5_BASE/tools/SampleAnalyzer/ExternalSymLink/Lib:/Applications/Root/lib -fi - -# Checking that all environment variables are defined -if [[ $MA5_BASE && $PATH && $LD_LIBRARY_PATH && $DYLD_LIBRARY_PATH ]]; then -echo -e $YELLOW"--------------------------------------------------------" -echo -e " Your environment is properly configured for MA5 " -echo -e "--------------------------------------------------------"$NORMAL -fi diff --git a/validation/outputs/lhe_histos_0/Input/_testset.list b/validation/outputs/lhe_histos_0/Input/_testset.list deleted file mode 100644 index 9072f2fe..00000000 --- a/validation/outputs/lhe_histos_0/Input/_testset.list +++ /dev/null @@ -1 +0,0 @@ -/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/samples/ttbar_sl_1.lhe.gz diff --git a/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/jheppub.sty b/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/jheppub.sty deleted file mode 100644 index 90b55d9f..00000000 --- a/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/jheppub.sty +++ /dev/null @@ -1,353 +0,0 @@ -\NeedsTeXFormat{LaTeX2e} -\ProvidesPackage{jheppub}[2012/06/08 r448] - - -\gdef\@fpheader{} -\gdef\@journal{jhep} - -\RequirePackage{amsmath} -\RequirePackage{amssymb} -\RequirePackage{epsfig} -\RequirePackage{graphicx} -\RequirePackage[numbers,sort&compress]{natbib} -\RequirePackage{color} -\RequirePackage[colorlinks=true -,urlcolor=blue -,anchorcolor=blue -,citecolor=blue -,filecolor=blue -,linkcolor=blue -,menucolor=blue -,pagecolor=blue -,linktocpage=true -,pdfproducer=medialab -]{hyperref} - -\newif\ifnotoc\notocfalse -\newif\ifemailadd\emailaddfalse -\newif\iftoccontinuous\toccontinuousfalse - -\def\@subheader{\@empty} -\def\@keywords{\@empty} -\def\@abstract{\@empty} -\def\@xtum{\@empty} -\def\@dedicated{\@empty} -\def\@arxivnumber{\@empty} -\def\@collaboration{\@empty} -\def\@collaborationImg{\@empty} -\def\@proceeding{\@empty} -\def\@preprint{\@empty} - -\newcommand{\subheader}[1]{\gdef\@subheader{#1}} -\newcommand{\keywords}[1]{\if!\@keywords!\gdef\@keywords{#1}\else% -\PackageWarningNoLine{\jname}{Keywords already defined.\MessageBreak Ignoring last definition.}\fi} -\renewcommand{\abstract}[1]{\gdef\@abstract{#1}} -\newcommand{\dedicated}[1]{\gdef\@dedicated{#1}} -\newcommand{\arxivnumber}[1]{\gdef\@arxivnumber{#1}} -\newcommand{\proceeding}[1]{\gdef\@proceeding{#1}} -\newcommand{\xtumfont}[1]{\textsc{#1}} -\newcommand{\correctionref}[3]{\gdef\@xtum{\xtumfont{#1} \href{#2}{#3}}} -\newcommand\jname{JHEP} -\newcommand\acknowledgments{\section*{Acknowledgments}} -\newcommand\notoc{\notoctrue} -\newcommand\preprint[1]{\gdef\@preprint{\hfill #1}} - - - -%Equivalent to ``\footnote'', but can be used inside the \author macro -% because it does not write the footnote mark -% it has an optional argument that will be used as footnote mark when given -% WARNING: when the optional argument is used, the footnotecounter is not increased -% WARNING: the character ``!'' cannot be used. -% If you really need it use somthing like [\relax !] as the optional arg. -\newcommand\note[2][]{% -\if!#1!% -\stepcounter{footnote}\footnotetext{#2}% -\else% -{\renewcommand\thefootnote{#1}% -\footnotetext{#2}}% -\fi} - - - -%Use this if you want to try to keep some piece of the abstract on a -%very long first page -\newcommand\compress{% -\renewcommand\afterProceedingsSpace{\bigskip}% -\renewcommand\afterTitleSpace{\bigskip}% -\renewcommand\afterRuleSpace{\bigskip\bigskip} -\renewcommand\afterEmailSpace{\par\bigskip}} - -%authors and affiliations -\newtoks\auth@toks -\renewcommand{\author}[2][]{% - \if!#1!% - \auth@toks=\expandafter{\the\auth@toks#2\ }% - 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a/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/main.tex +++ /dev/null @@ -1,4450 +0,0 @@ -% ----------------------------------------------------------------------------- -% HEADER -% ----------------------------------------------------------------------------- -\documentclass[a4paper, 10pt]{article} -\usepackage{jheppub} -\usepackage[T1]{fontenc} -\usepackage{colortbl,xcolor,float} -\definecolor{orange}{rgb}{1,0.5,0} -% ----------------------------------------------------------------------------- -% COVER PAGE -% ----------------------------------------------------------------------------- -\title{{\includegraphics[scale=.4]{logo.eps}}\ The LaTeX report} - -\author{Generated by fuks on 01 April 2026, 23:53:44} - -\abstract{ - This report has been generated automatically - by {\sc MadAnalysis} 5.\\$~$\\ - Please cite:\\ - \begin{quote} - \textbf{E.~Conte, B.~Fuks and G.~Serret},\\ - \textit{MadAnalysis 5, A User-Friendly - Framework for Collider Phenomenology},\\ - Comput. Phys. Commun. {\bf 184} (2013) 222-256,\\ - arXiv:1206.1599 [hep-ph].\\ - \end{quote} - To contact us:\\ - \begin{quote} - \textbf{http://madanalysis.irmp.ucl.ac.be}\\ - \textbf{ma5team@iphc.cnrs.fr}\\ - \end{quote} -} - -% ----------------------------------------------------------------------------- -% BEGIN DOCUMENT -% ----------------------------------------------------------------------------- -\begin{document} -\maketitle -\flushbottom - -% ----------------------------------------------------------------------------- -% SECTION Setup -% ----------------------------------------------------------------------------- -\newpage -\section{ Setup} - -\subsection{ Command history} - -\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>import samples/\-ttbar\_sl\_1.lhe.gz as testset\\ -} -\texttt{ }\texttt{ }\texttt{ma5>set main.normalize = none\\ -} -\texttt{ }\texttt{ }\texttt{ma5>set main.lumi = 1.0\\ -} -\texttt{ }\texttt{ }\texttt{ma5>define e = e+ e-\\ -} -\texttt{ }\texttt{ }\texttt{ma5>define mu = mu+ mu-\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot SQRTS 50 0 5000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot SCALE 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ALPHA\_QCD 50 0 0.3\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ALPHA\_QED 50 0 0.02\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot TET 50 0 5000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot THT 50 0 5000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MET 50 0 1500\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MHT 50 0 1500\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot NPID\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot NAPID\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot WEIGHTS\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(e) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(e) 50 0 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(e) 32 -3.2 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(e) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ET(e) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e) 50 0 20\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT(e) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(e) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot P(e) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PX(e) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PY(e) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PZ(e) 50 -2000 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot R(e) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot Y(e) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot BETA(e) 50 0 1.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(e) 50 1 100\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(e[1]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(e[1]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(e[1]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(e[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(e[2]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(e[2]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(e[2]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(e[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e[1] e[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[1] e[2]) 50 0 1500 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e[1],e[2]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(e[1],e[2]) 32 0 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(e[1],e[2]) 32 0 6.4 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(mu) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(mu) 50 0 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(mu) 32 -3.2 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(mu) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ET(mu) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(mu) 50 0 20\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT(mu) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(mu) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot P(mu) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PX(mu) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PY(mu) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PZ(mu) 50 -2000 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot R(mu) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot Y(mu) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot BETA(mu) 50 0 1.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(mu) 50 1 100\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(mu[1]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(mu[1]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(mu[1]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(mu[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(mu[2]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(mu[2]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(mu[2]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(mu[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(mu[1] mu[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu[1] mu[2]) 50 0 1500 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu[1],mu[2]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(mu[1],mu[2]) 32 0 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(mu[1],mu[2]) 32 0 6.4 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(b) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(b) 50 0 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(b) 32 -3.2 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(b) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ET(b) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(b) 50 0 50\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT(b) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(b) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot P(b) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PX(b) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PY(b) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PZ(b) 50 -2000 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot R(b) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot Y(b) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot BETA(b) 50 0 1.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(b) 50 1 100\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(b[1]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(b[1]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(b[1]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(b[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(b[2]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(b[2]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(b[2]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(b[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(b[1] b[2]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[1] b[2]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b[1],b[2]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(b[1],b[2]) 32 0 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(b[1],b[2]) 32 0 6.4 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(j) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(j) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(j) 50 0 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(j) 32 -3.2 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(j) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ET(j) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(j) 50 0 200\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT(j) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(j) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot P(j) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PX(j) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PY(j) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PZ(j) 50 -2000 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot R(j) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot Y(j) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot BETA(j) 50 0 1.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(j) 50 1 100\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(j[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(j[1]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(j[1]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(j[1]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(j[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(j[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(j[2]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(j[2]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(j[2]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(j[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(j[1] j[2]) 50 0 3000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(j[1] j[2]) 50 0 3000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(j[1],j[2]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(j[1],j[2]) 32 0 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(j[1],j[2]) 32 0 6.4 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e,e) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(e,e) 32 0 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(e,e) 32 0 6.4\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e e) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e e) 50 0 1500\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu,mu) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(mu,mu) 32 0 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(mu,mu) 32 0 6.4\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(mu mu) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu mu) 50 0 1500\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b,b) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(b,b) 32 0 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(b,b) 32 0 6.4\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(b b) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b b) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(j,j) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(j,j) 32 0 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(j,j) 32 0 6.4\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(j j) 50 0 3000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(j j) 50 0 3000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e,mu) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e,j) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu,j) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b,j) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e mu) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e j) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(mu j) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(b j) 50 0 3000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e mu) 50 0 1500\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b j) 50 0 3000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e[1],mu[1]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e[1],j[1]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu[1],j[1]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b[1],j[1]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e[1] mu[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e[1] j[1]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(mu[1] j[1]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(b[1] j[1]) 50 0 3000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[1] mu[1]) 50 0 1500 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[1] j[1]) 50 0 3000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>submit\\ -} -\texttt{ }\texttt{ }\subsection{ Configuration} - -\begin{itemize} - \item MadAnalysis version 1.11.0 (2025/\-04/\-23). - \item Histograms are not scaled. - -\end{itemize} -% ----------------------------------------------------------------------------- -% SECTION Datasets -% ----------------------------------------------------------------------------- -\newpage -\section{ Datasets} - -\subsection{ testset} - -\begin{itemize} - \item Sample consisting of: \textcolor{blue}{signal} events. - \item Generated events: \textcolor{blue}{1000 } events. - \item Normalization to the luminosity: \textcolor{blue}{15447}\textcolor{blue}{ +/\-- }\textcolor{blue}{114 } events. - \item\textcolor{red}{Ratio (event weight): }\textcolor{red}{15 }\textcolor{red}{ - warning: please generate more events (weight larger than 1)!} -\textcolor{red}{} -\end{itemize} -\begin{table}[H] - \begin{center} - \begin{tabular}{|m{55.0mm}|m{25.0mm}|m{30.0mm}|m{30.0mm}|} - \hline - {\cellcolor{yellow} Path to the event file}& {\cellcolor{yellow} Nr. of events}& {\cellcolor{yellow} Cross section (pb)}& {\cellcolor{yellow} Negative wgts (\%)}\\ - \hline - {\cellcolor{white} samples/\-ttbar\_sl\_1.lhe.gz}& {\cellcolor{white} 1000}& {\cellcolor{white} 15.4 @ 0.74\%}& {\cellcolor{white} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -% ----------------------------------------------------------------------------- -% SECTION Histos and cuts -% ----------------------------------------------------------------------------- -\newpage -\section{ Histos and cuts} - -\subsection{ Histogram 1} - -\textbf{* Plot: SQRTS}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 489.445}& {\cellcolor{white} 124.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_0.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 2} - -\textbf{* Plot: SCALE}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 214.211}& {\cellcolor{white} 45.19}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_1.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 3} - -\textbf{* Plot: ALPHA\_QCD}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.114843}& {\cellcolor{white} 0.002765}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_2.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 4} - -\textbf{* Plot: ALPHA\_QED}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0795775}& {\cellcolor{white} 4.683e-05}& {\cellcolor{red} 0.0}& {\cellcolor{red} 100.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_3.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 5} - -\textbf{* Plot: TET}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 308.078}& {\cellcolor{white} 93.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_4.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 6} - -\textbf{* Plot: THT}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 258.83}& {\cellcolor{white} 79.71}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_5.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 7} - -\textbf{* Plot: MET}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 58.7171}& {\cellcolor{white} 37.97}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_6.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 8} - -\textbf{* Plot: MHT}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.1686}& {\cellcolor{white} 52.75}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_7.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 9} - -\textbf{* Plot: NPID}\\ - \begin{table}[H] - \begin{center} - \caption{ Statistics table} - \begin{tabular}{|m{40.0mm}|m{64.0mm}|m{36.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries /\- events}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 92.7}& {\cellcolor{white} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_8.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 10} - -\textbf{* Plot: NAPID}\\ - \begin{table}[H] - \begin{center} - \caption{ Statistics table} - \begin{tabular}{|m{40.0mm}|m{64.0mm}|m{36.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries /\- events}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 92.7}& {\cellcolor{white} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_9.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 11} - -\textbf{* Plot: WEIGHTS}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0154478}& {\cellcolor{white} 1.051e-05}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_10.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 12} - -\textbf{* Plot: PT ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 49.9595}& {\cellcolor{white} 38.03}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_11.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 13} - -\textbf{* Plot: ETA ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0509938}& {\cellcolor{white} 1.152}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_12.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 14} - -\textbf{* Plot: ABSETA ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.946635}& {\cellcolor{white} 0.6582}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_13.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 15} - -\textbf{* Plot: PHI ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0207825}& {\cellcolor{white} 1.754}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_14.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 16} - -\textbf{* Plot: E ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.8171}& {\cellcolor{white} 77.33}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_15.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 17} - -\textbf{* Plot: ET ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 49.9595}& {\cellcolor{white} 38.03}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_16.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 18} - -\textbf{* Plot: M ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.44661e-06}& {\cellcolor{white} 0.0005939}& {\cellcolor{red} 51.58}& {\cellcolor{red} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_17.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 19} - -\textbf{* Plot: MT ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.000106287}& {\cellcolor{white} 0.0001899}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_18.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 20} - -\textbf{* Plot: MT\_MET ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 58.4921}& {\cellcolor{white} 22.25}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_19.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 21} - -\textbf{* Plot: P ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.8171}& {\cellcolor{white} 77.33}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_20.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 22} - -\textbf{* Plot: PX ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.09172}& {\cellcolor{white} 43.07}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_21.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 23} - -\textbf{* Plot: PY ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.615749}& {\cellcolor{white} 45.63}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_22.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 24} - -\textbf{* Plot: PZ ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 7.00982}& {\cellcolor{white} 98.49}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_23.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 25} - -\textbf{* Plot: R ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.93047}& {\cellcolor{white} 0.8241}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_24.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 26} - -\textbf{* Plot: Y ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0509938}& {\cellcolor{white} 1.152}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_25.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 27} - -\textbf{* Plot: BETA ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_26.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 28} - -\textbf{* Plot: GAMMA ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} nan}& {\cellcolor{white} nan}& {\cellcolor{red} 0.0}& {\cellcolor{red} 48.42}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_27.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 29} - -\textbf{* Plot: PT ( e[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 49.9595}& {\cellcolor{white} 38.03}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_28.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 30} - -\textbf{* Plot: ETA ( e[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0509938}& {\cellcolor{white} 1.152}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_29.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 31} - -\textbf{* Plot: PHI ( e[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0207825}& {\cellcolor{white} 1.754}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_30.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 32} - -\textbf{* Plot: E ( e[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.8171}& {\cellcolor{white} 77.33}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_31.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 33} - -\textbf{* Plot: MT\_MET ( e[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 58.4921}& {\cellcolor{white} 22.25}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_32.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 34} - -\textbf{* Plot: PT ( e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_33.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 35} - -\textbf{* Plot: ETA ( e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_34.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 36} - -\textbf{* Plot: PHI ( e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_35.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 37} - -\textbf{* Plot: E ( e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_36.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 38} - -\textbf{* Plot: MT\_MET ( e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_37.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 39} - -\textbf{* Plot: M ( e[1] e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_38.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 40} - -\textbf{* Plot: PT ( e[1] e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_39.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 41} - -\textbf{* Plot: DELTAR ( e[1] , e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_40.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 42} - -\textbf{* Plot: DPHI\_0\_PI ( e[1] , e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_41.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 43} - -\textbf{* Plot: DPHI\_0\_2PI ( e[1] , e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_42.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 44} - -\textbf{* Plot: PT ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 48.5205}& {\cellcolor{white} 33.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_43.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 45} - -\textbf{* Plot: ETA ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0359047}& {\cellcolor{white} 1.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_44.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 46} - -\textbf{* Plot: ABSETA ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.938579}& {\cellcolor{white} 0.6297}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_45.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 47} - -\textbf{* Plot: PHI ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.0970943}& {\cellcolor{white} 1.804}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_46.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 48} - -\textbf{* Plot: E ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.6679}& {\cellcolor{white} 68.85}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_47.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 49} - -\textbf{* Plot: ET ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 48.5205}& {\cellcolor{white} 33.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_48.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 50} - -\textbf{* Plot: M ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 5.6886e-06}& {\cellcolor{white} 0.0005586}& {\cellcolor{red} 47.57}& {\cellcolor{red} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_49.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 51} - -\textbf{* Plot: MT ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.000106791}& {\cellcolor{white} 0.0001948}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_50.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 52} - -\textbf{* Plot: MT\_MET ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 59.2324}& {\cellcolor{white} 21.72}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_51.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 53} - -\textbf{* Plot: P ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.6679}& {\cellcolor{white} 68.85}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_52.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 54} - -\textbf{* Plot: PX ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.91001}& {\cellcolor{white} 42.25}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_53.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 55} - -\textbf{* Plot: PY ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.97706}& {\cellcolor{white} 40.74}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_54.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 56} - -\textbf{* Plot: PZ ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.0695523}& {\cellcolor{white} 91.06}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_55.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 57} - -\textbf{* Plot: R ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.9459}& {\cellcolor{white} 0.8686}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_56.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 58} - -\textbf{* Plot: Y ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0359047}& {\cellcolor{white} 1.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_57.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 59} - -\textbf{* Plot: BETA ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_58.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 60} - -\textbf{* Plot: GAMMA ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} nan}& {\cellcolor{white} nan}& {\cellcolor{red} 0.0}& {\cellcolor{red} 52.43}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_59.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 61} - -\textbf{* Plot: PT ( mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 48.5205}& {\cellcolor{white} 33.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_60.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 62} - -\textbf{* Plot: ETA ( mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0359047}& {\cellcolor{white} 1.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_61.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 63} - -\textbf{* Plot: PHI ( mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.0970943}& {\cellcolor{white} 1.804}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_62.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 64} - -\textbf{* Plot: E ( mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.6679}& {\cellcolor{white} 68.85}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_63.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 65} - -\textbf{* Plot: MT\_MET ( mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 59.2324}& {\cellcolor{white} 21.72}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_64.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 66} - -\textbf{* Plot: PT ( mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_65.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 67} - -\textbf{* Plot: ETA ( mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_66.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 68} - -\textbf{* Plot: PHI ( mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_67.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 69} - -\textbf{* Plot: E ( mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_68.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 70} - -\textbf{* Plot: MT\_MET ( mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_69.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 71} - -\textbf{* Plot: M ( mu[1] mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_70.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 72} - -\textbf{* Plot: PT ( mu[1] mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_71.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 73} - -\textbf{* Plot: DELTAR ( mu[1] , mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_72.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 74} - -\textbf{* Plot: DPHI\_0\_PI ( mu[1] , mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_73.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 75} - -\textbf{* Plot: DPHI\_0\_2PI ( mu[1] , mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_74.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 76} - -\textbf{* Plot: PT ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 72.2733}& {\cellcolor{white} 38.02}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_75.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 77} - -\textbf{* Plot: ETA ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.048521}& {\cellcolor{white} 1.264}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_76.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 78} - -\textbf{* Plot: ABSETA ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.02001}& {\cellcolor{white} 0.7485}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_77.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 79} - -\textbf{* Plot: PHI ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0257839}& {\cellcolor{white} 1.82}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_78.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 80} - -\textbf{* Plot: E ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 139.461}& {\cellcolor{white} 106.8}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_79.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 81} - -\textbf{* Plot: ET ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 72.3671}& {\cellcolor{white} 37.99}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_80.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 82} - -\textbf{* Plot: M ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 4.7}& {\cellcolor{white} 0.001892}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_81.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 83} - -\textbf{* Plot: MT ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 3.10162}& {\cellcolor{white} 1.297}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_82.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 84} - -\textbf{* Plot: MT\_MET ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.6682}& {\cellcolor{white} 54.39}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_83.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 85} - -\textbf{* Plot: P ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 139.338}& {\cellcolor{white} 106.9}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_84.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 86} - -\textbf{* Plot: PX ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} -1.79812}& {\cellcolor{white} 56.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_85.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 87} - -\textbf{* Plot: PY ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.05422}& {\cellcolor{white} 58.87}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_86.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 88} - -\textbf{* Plot: PZ ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.7842}& {\cellcolor{white} 155.5}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_87.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 89} - -\textbf{* Plot: R ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.03579}& {\cellcolor{white} 0.878}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_88.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 90} - -\textbf{* Plot: Y ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0482562}& {\cellcolor{white} 1.261}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_89.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 91} - -\textbf{* Plot: BETA ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.998042}& {\cellcolor{white} 0.002796}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_90.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 92} - -\textbf{* Plot: GAMMA ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 29.6726}& {\cellcolor{white} 22.73}& {\cellcolor{green} 0.0}& {\cellcolor{green} 2.3}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_91.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 93} - -\textbf{* Plot: PT ( b[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 72.2733}& {\cellcolor{white} 38.02}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_92.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 94} - -\textbf{* Plot: ETA ( b[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.048521}& {\cellcolor{white} 1.264}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_93.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 95} - -\textbf{* Plot: PHI ( b[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0257839}& {\cellcolor{white} 1.82}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_94.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 96} - -\textbf{* Plot: E ( b[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 139.461}& {\cellcolor{white} 106.8}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_95.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 97} - -\textbf{* Plot: MT\_MET ( b[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.6682}& {\cellcolor{white} 54.39}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_96.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 98} - -\textbf{* Plot: PT ( b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_97.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 99} - -\textbf{* Plot: ETA ( b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_98.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 100} - -\textbf{* Plot: PHI ( b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_99.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 101} - -\textbf{* Plot: E ( b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_100.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 102} - -\textbf{* Plot: MT\_MET ( b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_101.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 103} - -\textbf{* Plot: M ( b[1] b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_102.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 104} - -\textbf{* Plot: PT ( b[1] b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_103.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 105} - -\textbf{* Plot: DELTAR ( b[1] , b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_104.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 106} - -\textbf{* Plot: DPHI\_0\_PI ( b[1] , b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_105.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 107} - -\textbf{* Plot: DPHI\_0\_2PI ( b[1] , b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_106.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 108} - -\textbf{* Plot: PT ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 56.3608}& {\cellcolor{white} 32.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_107.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 109} - -\textbf{* Plot: ETA ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.0219264}& {\cellcolor{white} 1.2}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_108.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 110} - -\textbf{* Plot: ABSETA ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.971377}& {\cellcolor{white} 0.7051}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_109.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 111} - -\textbf{* Plot: PHI ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.0781512}& {\cellcolor{white} 1.851}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_110.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 112} - -\textbf{* Plot: E ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 104.57}& {\cellcolor{white} 85.46}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_111.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 113} - -\textbf{* Plot: ET ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 56.3608}& {\cellcolor{white} 32.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_112.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 114} - -\textbf{* Plot: M ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} -1.3327e-05}& {\cellcolor{white} 0.0006733}& {\cellcolor{red} 50.9}& {\cellcolor{red} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_113.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 115} - -\textbf{* Plot: MT ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.000121728}& {\cellcolor{white} 0.0002075}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_114.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 116} - -\textbf{* Plot: MT\_MET ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 82.308}& {\cellcolor{white} 60.37}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_115.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 117} - -\textbf{* Plot: P ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 104.57}& {\cellcolor{white} 85.46}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_116.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 118} - -\textbf{* Plot: PX ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} -2.36396}& {\cellcolor{white} 45.86}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_117.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 119} - -\textbf{* Plot: PY ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.06079}& {\cellcolor{white} 46.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_118.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 120} - -\textbf{* Plot: PZ ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 4.14477}& {\cellcolor{white} 118.3}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_119.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 121} - -\textbf{* Plot: R ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.036}& {\cellcolor{white} 0.8521}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_120.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 122} - -\textbf{* Plot: Y ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.0219264}& {\cellcolor{white} 1.2}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_121.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 123} - -\textbf{* Plot: BETA ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_122.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 124} - -\textbf{* Plot: GAMMA ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} nan}& {\cellcolor{white} nan}& {\cellcolor{red} 0.0}& {\cellcolor{red} 49.1}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_123.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 125} - -\textbf{* Plot: PT ( j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 74.0942}& {\cellcolor{white} 34.32}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_124.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 126} - -\textbf{* Plot: ETA ( j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0200712}& {\cellcolor{white} 1.117}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_125.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 127} - -\textbf{* Plot: PHI ( j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0625323}& {\cellcolor{white} 1.856}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_126.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 128} - -\textbf{* Plot: E ( j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 129.519}& {\cellcolor{white} 93.36}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_127.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 129} - -\textbf{* Plot: MT\_MET ( j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 98.7583}& {\cellcolor{white} 67.56}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_128.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 130} - -\textbf{* Plot: PT ( j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 38.6273}& {\cellcolor{white} 17.75}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_129.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 131} - -\textbf{* Plot: ETA ( j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0237817}& {\cellcolor{white} 1.278}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_130.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 132} - -\textbf{* Plot: PHI ( j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0937701}& {\cellcolor{white} 1.845}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_131.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 133} - -\textbf{* Plot: E ( j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 79.6223}& {\cellcolor{white} 68.15}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_132.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 134} - -\textbf{* Plot: MT\_MET ( j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 65.8576}& {\cellcolor{white} 46.73}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_133.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 135} - -\textbf{* Plot: M ( j[1] j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 80.3339}& {\cellcolor{white} 4.323}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_134.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 136} - -\textbf{* Plot: PT ( j[1] j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 86.6463}& {\cellcolor{white} 54.96}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_135.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 137} - -\textbf{* Plot: DELTAR ( j[1] , j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.90737}& {\cellcolor{white} 0.6749}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_136.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 138} - -\textbf{* Plot: DPHI\_0\_PI ( j[1] , j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.55671}& {\cellcolor{white} 0.809}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_137.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 139} - -\textbf{* Plot: DPHI\_0\_2PI ( j[1] , j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 3.02239}& {\cellcolor{white} 1.775}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_138.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 140} - -\textbf{* Plot: DELTAR ( e , e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_139.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 141} - -\textbf{* Plot: DPHI\_0\_PI ( e , e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_140.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 142} - -\textbf{* Plot: DPHI\_0\_2PI ( e , e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_141.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 143} - -\textbf{* Plot: M ( e e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_142.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 144} - -\textbf{* Plot: PT ( e e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_143.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 145} - -\textbf{* Plot: DELTAR ( mu , mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_144.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 146} - -\textbf{* Plot: DPHI\_0\_PI ( mu , mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_145.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 147} - -\textbf{* Plot: DPHI\_0\_2PI ( mu , mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_146.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 148} - -\textbf{* Plot: M ( mu mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_147.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 149} - -\textbf{* Plot: PT ( mu mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_148.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 150} - -\textbf{* Plot: DELTAR ( b , b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_149.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 151} - -\textbf{* Plot: DPHI\_0\_PI ( b , b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_150.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 152} - -\textbf{* Plot: DPHI\_0\_2PI ( b , b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_151.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 153} - -\textbf{* Plot: M ( b b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_152.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 154} - -\textbf{* Plot: PT ( b b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_153.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 155} - -\textbf{* Plot: DELTAR ( j , j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.90737}& {\cellcolor{white} 0.6749}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_154.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 156} - -\textbf{* Plot: DPHI\_0\_PI ( j , j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.55671}& {\cellcolor{white} 0.809}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_155.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 157} - -\textbf{* Plot: DPHI\_0\_2PI ( j , j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 3.14159}& {\cellcolor{white} 1.779}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_156.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 158} - -\textbf{* Plot: M ( j j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 80.3339}& {\cellcolor{white} 4.323}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_157.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 159} - -\textbf{* Plot: PT ( j j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 86.6463}& {\cellcolor{white} 54.96}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_158.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 160} - -\textbf{* Plot: DELTAR ( e , mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_159.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 161} - -\textbf{* Plot: DELTAR ( e , j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.6}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.3081}& {\cellcolor{white} 0.8766}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_160.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 162} - -\textbf{* Plot: DELTAR ( mu , j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.3}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.25996}& {\cellcolor{white} 0.8857}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_161.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 163} - -\textbf{* Plot: DELTAR ( b , j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.25698}& {\cellcolor{white} 0.8185}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_162.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 164} - -\textbf{* Plot: M ( e mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_163.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 165} - -\textbf{* Plot: M ( e j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.6}& {\cellcolor{white} 2.0}& {\cellcolor{white} 106.004}& {\cellcolor{white} 73.86}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_164.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 166} - -\textbf{* Plot: M ( j mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.3}& {\cellcolor{white} 2.0}& {\cellcolor{white} 101.989}& {\cellcolor{white} 66.26}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_165.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 167} - -\textbf{* Plot: M ( b j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 120.153}& {\cellcolor{white} 62.93}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_166.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 168} - -\textbf{* Plot: PT ( e mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_167.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 169} - -\textbf{* Plot: PT ( b j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 80.8933}& {\cellcolor{white} 46.34}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_168.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 170} - -\textbf{* Plot: DELTAR ( e[1] , mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_169.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 171} - -\textbf{* Plot: DELTAR ( e[1] , j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.34591}& {\cellcolor{white} 0.8529}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_170.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 172} - -\textbf{* Plot: DELTAR ( mu[1] , j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.32408}& {\cellcolor{white} 0.8288}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_171.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 173} - -\textbf{* Plot: DELTAR ( b[1] , j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.26008}& {\cellcolor{white} 0.798}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_172.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 174} - -\textbf{* Plot: M ( e[1] mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_173.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 175} - -\textbf{* Plot: M ( e[1] j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 123.783}& {\cellcolor{white} 81.94}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_174.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 176} - -\textbf{* Plot: M ( j[1] mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 117.989}& {\cellcolor{white} 70.7}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_175.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 177} - -\textbf{* Plot: M ( b[1] j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 137.213}& {\cellcolor{white} 66.95}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_176.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 178} - -\textbf{* Plot: PT ( e[1] mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_177.eps}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 179} - -\textbf{* Plot: PT ( b[1] j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.1047}& {\cellcolor{white} 50.81}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_178.eps}\\ -\caption{ } - \end{center} -\end{figure} - \end{document} diff --git a/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/main.toc b/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/main.toc deleted file mode 100644 index 373c135c..00000000 --- a/validation/outputs/lhe_histos_0/Output/DVI/MadAnalysis5job_0/main.toc +++ /dev/null @@ -1,185 +0,0 @@ -\contentsline {section}{\numberline {1} Setup}{2}{section.1}% -\contentsline {subsection}{\numberline {1.1} Command history}{2}{subsection.1.1}% -\contentsline {subsection}{\numberline {1.2} Configuration}{6}{subsection.1.2}% -\contentsline {section}{\numberline {2} Datasets}{7}{section.2}% -\contentsline {subsection}{\numberline {2.1} testset}{7}{subsection.2.1}% -\contentsline {section}{\numberline {3} Histos and cuts}{8}{section.3}% -\contentsline {subsection}{\numberline {3.1} Histogram 1}{8}{subsection.3.1}% -\contentsline {subsection}{\numberline {3.2} Histogram 2}{9}{subsection.3.2}% -\contentsline {subsection}{\numberline {3.3} Histogram 3}{10}{subsection.3.3}% -\contentsline {subsection}{\numberline {3.4} Histogram 4}{11}{subsection.3.4}% -\contentsline {subsection}{\numberline {3.5} Histogram 5}{12}{subsection.3.5}% -\contentsline {subsection}{\numberline {3.6} Histogram 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neg w4 d w4 neg w4 neg d w4 w4 neg d w4 neg w4 neg d w4 neg w4 d w4 w4 d cl f} def -/m49 {mp x w2 sub w3 add y w2 sub w3 add m 0 w3 neg d w3 0 d 0 w3 d w3 0 d 0 w3 d w3 neg 0 d 0 w3 d w3 neg 0 d 0 w3 neg d w3 neg 0 d 0 w3 neg d w3 0 d 0 w3 d w3 0 d 0 w3 neg d w3 neg 0 d cl f } def -/m2 {mp x y w2 sub m 0 w d x w2 sub y m w 0 d s} def -/m5 {mp x w2 .707 mul sub y w2 .707 mul sub m w 1.44 div w 1.44 div d x w2 .707 mul sub y w2 .707 mul add m w 1.44 div w 1.44 div neg d s} def -%%IncludeResource: ProcSet (FontSetInit) -%%IncludeResource: font Times-Roman -%%IncludeResource: font Times-Italic -%%IncludeResource: font Times-Bold -%%IncludeResource: font Times-BoldItalic -%%IncludeResource: font Helvetica -%%IncludeResource: font Helvetica-Oblique -%%IncludeResource: font Helvetica-Bold -%%IncludeResource: font Helvetica-BoldOblique -%%IncludeResource: font Courier -%%IncludeResource: font Courier-Oblique -%%IncludeResource: font Courier-Bold -%%IncludeResource: font Courier-BoldOblique 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1 c 2268 1538 0 0 bf black 1 1 1 c 1837 1230 317 231 bf black 1837 1230 317 231 bl 1 1 1 c 1837 1230 317 231 bf black 1837 1230 317 231 bl 0 0 0.6 c 1 1 1 c black 0 0 0.6 c 317 231 m - 1837 X s black 317 231 m 1837 X s 375 268 m -37 Y s 432 249 m -18 Y s 490 249 m -18 Y s 547 249 m -18 Y s 604 249 m -18 Y s 662 268 m -37 Y s 719 249 m -18 Y s 777 249 m -18 Y s 834 249 m -18 Y s 891 249 m -18 Y s 949 268 m -37 Y s 1006 249 m -18 Y - s 1064 249 m -18 Y s 1121 249 m -18 Y s 1179 249 m -18 Y s 1236 268 m -37 Y s 1293 249 m -18 Y s 1351 249 m -18 Y s 1408 249 m -18 Y s 1466 249 m -18 Y s 1523 268 m -37 Y s 1580 249 m -18 Y s 1638 249 m -18 Y s 1695 249 m -18 Y s 1753 249 m -18 Y s - 1810 268 m -37 Y s 1867 249 m -18 Y s 1925 249 m -18 Y s 1982 249 m -18 Y s 2040 249 m -18 Y s 2097 268 m -37 Y s 375 268 m -37 Y s 317 249 m -18 Y s 2097 268 m -37 Y s 2154 249 m -18 Y s - gsave 2268 1538 0 0 C 371.436 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (3) show NC gr - gsave 2268 1538 0 0 C 342.112 175.944 t 0 r /Symbol findfont 58.6478 sf 0 0 m (-) show NC gr - gsave 2268 1538 0 0 C 658.159 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (2) show NC gr - gsave 2268 1538 0 0 C 628.835 175.944 t 0 r /Symbol findfont 58.6478 sf 0 0 m (-) show NC gr - gsave 2268 1538 0 0 C 951.398 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (1) show NC gr - gsave 2268 1538 0 0 C 918.816 175.944 t 0 r /Symbol findfont 58.6478 sf 0 0 m (-) show NC gr - gsave 2268 1538 0 0 C 1218.57 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0) show NC gr - gsave 2268 1538 0 0 C 1508.55 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (1) show NC gr - gsave 2268 1538 0 0 C 1792.02 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (2) show NC gr - gsave 2268 1538 0 0 C 2078.74 175.944 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (3) show NC gr - gsave 2268 1538 0 0 C 2062.45 74.9389 t 0 r /Times-Bold findfont 84.7136 sf 0 0 m ( ] ) show NC gr - gsave 2268 1538 0 0 C 2033.13 32.5821 t 0 r /Times-Bold findfont 58.6478 sf 0 0 m (2) show NC gr - gsave 2268 1538 0 0 C 1915.83 74.9389 t 0 r /Times-Bold findfont 84.7136 sf 0 0 m ( [ b) show NC gr - gsave 2268 1538 0 0 C 1873.47 74.9389 t 0 r /Symbol findfont 84.7136 sf 0 0 m (f) show NC gr 317 1461 m 1837 X s 375 1424 m 37 Y s 432 1442 m 19 Y s 490 1442 m 19 Y s 547 1442 m 19 Y s 604 1442 m 19 Y s 662 1424 m 37 Y s 719 1442 m 19 Y s 777 1442 - m 19 Y s 834 1442 m 19 Y s 891 1442 m 19 Y s 949 1424 m 37 Y s 1006 1442 m 19 Y s 1064 1442 m 19 Y s 1121 1442 m 19 Y s 1179 1442 m 19 Y s 1236 1424 m 37 Y s 1293 1442 m 19 Y s 1351 1442 m 19 Y s 1408 1442 m 19 Y s 1466 1442 m 19 Y s 1523 1424 m 37 - Y s 1580 1442 m 19 Y s 1638 1442 m 19 Y s 1695 1442 m 19 Y s 1753 1442 m 19 Y s 1810 1424 m 37 Y s 1867 1442 m 19 Y s 1925 1442 m 19 Y s 1982 1442 m 19 Y s 2040 1442 m 19 Y s 2097 1424 m 37 Y s 375 1424 m 37 Y s 317 1442 m 19 Y s 2097 1424 m 37 Y s - 2154 1442 m 19 Y s 317 231 m 1230 Y s 372 231 m -55 X s 345 255 m -28 X s 345 280 m -28 X s 345 304 m -28 X s 345 329 m -28 X s 372 354 m -55 X s 345 378 m -28 X s 345 403 m -28 X s 345 428 m -28 X s 345 452 m -28 X s 372 477 m -55 X s 345 501 m -28 - X s 345 526 m -28 X s 345 551 m -28 X s 345 575 m -28 X s 372 600 m -55 X s 345 624 m -28 X s 345 649 m -28 X s 345 674 m -28 X s 345 698 m -28 X s 372 723 m -55 X s 345 747 m -28 X s 345 772 m -28 X s 345 797 m -28 X s 345 821 m -28 X s 372 846 m - -55 X s 345 870 m -28 X s 345 895 m -28 X s 345 920 m -28 X s 345 944 m -28 X s 372 969 m -55 X s 345 993 m -28 X s 345 1018 m -28 X s 345 1043 m -28 X s 345 1067 m -28 X s 372 1092 m -55 X s 345 1116 m -28 X s 345 1141 m -28 X s 345 1166 m -28 X s - 345 1190 m -28 X s 372 1215 m -55 X s 345 1240 m -28 X s 345 1264 m -28 X s 345 1289 m -28 X s 345 1313 m -28 X s 372 1338 m -55 X s 345 1363 m -28 X s 345 1387 m -28 X s 345 1412 m -28 X s 345 1436 m -28 X s 372 1461 m -55 X s - gsave 2268 1538 0 0 C 270.432 208.526 t 0 r /Helvetica findfont 58.6478 sf 0 0 m (0) show NC gr - gsave 2268 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0 0 C 120.554 573.446 t 90 r /Times-Bold findfont 84.7136 sf 0 0 m (Events \(not normalized\)) show NC gr 2154 231 m 1230 Y s 2100 231 m 54 X s 2127 255 m 27 X s 2127 280 m 27 X s 2127 304 m 27 X s 2127 329 m 27 X s 2100 354 m 54 - X s 2127 378 m 27 X s 2127 403 m 27 X s 2127 428 m 27 X s 2127 452 m 27 X s 2100 477 m 54 X s 2127 501 m 27 X s 2127 526 m 27 X s 2127 551 m 27 X s 2127 575 m 27 X s 2100 600 m 54 X s 2127 624 m 27 X s 2127 649 m 27 X s 2127 674 m 27 X s 2127 698 m - 27 X s 2100 723 m 54 X s 2127 747 m 27 X s 2127 772 m 27 X s 2127 797 m 27 X s 2127 821 m 27 X s 2100 846 m 54 X s 2127 870 m 27 X s 2127 895 m 27 X s 2127 920 m 27 X s 2127 944 m 27 X s 2100 969 m 54 X s 2127 993 m 27 X s 2127 1018 m 27 X s 2127 - 1043 m 27 X s 2127 1067 m 27 X s 2100 1092 m 54 X s 2127 1116 m 27 X s 2127 1141 m 27 X s 2127 1166 m 27 X s 2127 1190 m 27 X s 2100 1215 m 54 X s 2127 1240 m 27 X s 2127 1264 m 27 X s 2127 1289 m 27 X s 2127 1313 m 27 X s 2100 1338 m 54 X s 2127 - 1363 m 27 X s 2127 1387 m 27 X s 2127 1412 m 27 X s 2127 1436 m 27 X s 2100 1461 m 54 X s 0.35 0.33 0.85 c black 0.35 0.33 0.85 c 317 231 m 1837 X f 317 231 m 1837 X s black 317 231 m 1837 X s 375 268 m -37 Y s 432 249 m -18 Y s 490 249 m -18 Y s - 547 249 m -18 Y s 604 249 m -18 Y s 662 268 m -37 Y s 719 249 m -18 Y s 777 249 m -18 Y s 834 249 m -18 Y s 891 249 m -18 Y s 949 268 m -37 Y s 1006 249 m -18 Y s 1064 249 m -18 Y s 1121 249 m -18 Y s 1179 249 m -18 Y s 1236 268 m -37 Y s 1293 249 m - -18 Y s 1351 249 m -18 Y s 1408 249 m -18 Y s 1466 249 m -18 Y s 1523 268 m -37 Y s 1580 249 m -18 Y s 1638 249 m -18 Y s 1695 249 m -18 Y s 1753 249 m -18 Y s 1810 268 m -37 Y s 1867 249 m -18 Y s 1925 249 m -18 Y s 1982 249 m -18 Y s 2040 249 m - -18 Y s 2097 268 m -37 Y s 375 268 m -37 Y s 317 249 m -18 Y s 2097 268 m -37 Y s 2154 249 m -18 Y s 317 1461 m 1837 X s 375 1424 m 37 Y s 432 1442 m 19 Y s 490 1442 m 19 Y s 547 1442 m 19 Y s 604 1442 m 19 Y s 662 1424 m 37 Y s 719 1442 m 19 Y s - 777 1442 m 19 Y s 834 1442 m 19 Y s 891 1442 m 19 Y s 949 1424 m 37 Y s 1006 1442 m 19 Y s 1064 1442 m 19 Y s 1121 1442 m 19 Y s 1179 1442 m 19 Y s 1236 1424 m 37 Y s 1293 1442 m 19 Y s 1351 1442 m 19 Y s 1408 1442 m 19 Y s 1466 1442 m 19 Y s 1523 - 1424 m 37 Y s 1580 1442 m 19 Y s 1638 1442 m 19 Y s 1695 1442 m 19 Y s 1753 1442 m 19 Y s 1810 1424 m 37 Y s 1867 1442 m 19 Y s 1925 1442 m 19 Y s 1982 1442 m 19 Y s 2040 1442 m 19 Y s 2097 1424 m 37 Y s 375 1424 m 37 Y s 317 1442 m 19 Y s 2097 1424 - m 37 Y s 2154 1442 m 19 Y s 317 231 m 1230 Y s 372 231 m -55 X s 345 255 m -28 X s 345 280 m -28 X s 345 304 m -28 X s 345 329 m -28 X s 372 354 m -55 X s 345 378 m -28 X s 345 403 m -28 X s 345 428 m -28 X s 345 452 m -28 X s 372 477 m -55 X s 345 - 501 m -28 X s 345 526 m -28 X s 345 551 m -28 X s 345 575 m -28 X s 372 600 m -55 X s 345 624 m -28 X s 345 649 m -28 X s 345 674 m -28 X s 345 698 m -28 X s 372 723 m -55 X s 345 747 m -28 X s 345 772 m -28 X s 345 797 m -28 X s 345 821 m -28 X s - 372 846 m -55 X s 345 870 m -28 X s 345 895 m -28 X s 345 920 m -28 X s 345 944 m -28 X s 372 969 m -55 X s 345 993 m -28 X s 345 1018 m -28 X s 345 1043 m -28 X s 345 1067 m -28 X s 372 1092 m -55 X s 345 1116 m -28 X s 345 1141 m -28 X s 345 1166 - m -28 X s 345 1190 m -28 X s 372 1215 m -55 X s 345 1240 m -28 X s 345 1264 m -28 X s 345 1289 m -28 X s 345 1313 m -28 X s 372 1338 m -55 X s 345 1363 m -28 X s 345 1387 m -28 X s 345 1412 m -28 X s 345 1436 m -28 X s 372 1461 m -55 X s 2154 231 m - 1230 Y s 2100 231 m 54 X s 2127 255 m 27 X s 2127 280 m 27 X s 2127 304 m 27 X s 2127 329 m 27 X s 2100 354 m 54 X s 2127 378 m 27 X s 2127 403 m 27 X s 2127 428 m 27 X s 2127 452 m 27 X s 2100 477 m 54 X s 2127 501 m 27 X s 2127 526 m 27 X s 2127 - 551 m 27 X s 2127 575 m 27 X s 2100 600 m 54 X s 2127 624 m 27 X s 2127 649 m 27 X s 2127 674 m 27 X s 2127 698 m 27 X s 2100 723 m 54 X s 2127 747 m 27 X s 2127 772 m 27 X s 2127 797 m 27 X s 2127 821 m 27 X s 2100 846 m 54 X s 2127 870 m 27 X s - 2127 895 m 27 X s 2127 920 m 27 X s 2127 944 m 27 X s 2100 969 m 54 X s 2127 993 m 27 X s 2127 1018 m 27 X s 2127 1043 m 27 X s 2127 1067 m 27 X s 2100 1092 m 54 X s 2127 1116 m 27 X s 2127 1141 m 27 X s 2127 1166 m 27 X s 2127 1190 m 27 X s 2100 - 1215 m 54 X s 2127 1240 m 27 X s 2127 1264 m 27 X s 2127 1289 m 27 X s 2127 1313 m 27 X s 2100 1338 m 54 X s 2127 1363 m 27 X s 2127 1387 m 27 X s 2127 1412 m 27 X s 2127 1436 m 27 X s 2100 1461 m 54 X s - gr gr showpage -end -%%EOF diff --git a/validation/outputs/lhe_histos_0/Output/HTML/MadAnalysis5job_0/index.html b/validation/outputs/lhe_histos_0/Output/HTML/MadAnalysis5job_0/index.html deleted file mode 100644 index be6be21b..00000000 --- a/validation/outputs/lhe_histos_0/Output/HTML/MadAnalysis5job_0/index.html +++ /dev/null @@ -1,10306 +0,0 @@ - - - - - MadAnalysis 5 HTML report - - - - - -
    - - - - - -
    - ma5-logo
    - Please visit us. -     		-

    MadAnalysis 5 report


    - Created by fuks on 01 April 2026, 23:53:35 -
    -
    - - - -
    -

    - -

    Setup


    -

    Command history


    - ma5>
    - ma5>
    - ma5>import samples/ttbar_sl_1.lhe.gz as testset
    - ma5>set main.normalize = none
    - ma5>set main.lumi = 1.0
    - ma5>define e = e+ e-
    - ma5>define mu = mu+ mu-
    - ma5>
    - ma5>
    - ma5>
    - ma5>plot SQRTS 50 0 5000
    - ma5>plot SCALE 50 0 2000
    - ma5>plot ALPHA_QCD 50 0 0.3
    - ma5>plot ALPHA_QED 50 0 0.02
    - ma5>plot TET 50 0 5000
    - ma5>plot THT 50 0 5000
    - ma5>plot MET 50 0 1500
    - ma5>plot MHT 50 0 1500
    - ma5>plot NPID
    - ma5>plot NAPID
    - ma5>plot WEIGHTS
    - ma5>
    - ma5>
    - ma5>
    - ma5>plot PT(e) 50 0 1000 [PTordering]
    - ma5>plot ETA(e) 50 -8 8
    - ma5>plot ABSETA(e) 50 0 8
    - ma5>plot PHI(e) 32 -3.2 3.2
    - ma5>plot E(e) 50 0 2000
    - ma5>plot ET(e) 50 0 2000
    - ma5>plot M(e) 50 0 20
    - ma5>plot MT(e) 50 0 1000
    - ma5>plot MT_MET(e) 50 0 1000
    - ma5>plot P(e) 50 0 2000
    - ma5>plot PX(e) 50 -1000 1000
    - ma5>plot PY(e) 50 -1000 1000
    - ma5>plot PZ(e) 50 -2000 2000
    - ma5>plot R(e) 50 0 10
    - ma5>plot Y(e) 50 -8 8
    - ma5>plot BETA(e) 50 0 1.2
    - ma5>plot GAMMA(e) 50 1 100
    - ma5>
    - ma5>plot PT(e[1]) 50 0 1000 [PTordering]
    - ma5>plot ETA(e[1]) 50 -8 8 [PTordering]
    - ma5>plot PHI(e[1]) 32 -3.2 3.2 [PTordering]
    - ma5>plot E(e[1]) 50 0 2000 [PTordering]
    - ma5>plot MT_MET(e[1]) 50 0 1000 [PTordering]
    - ma5>plot PT(e[2]) 50 0 1000 [PTordering]
    - ma5>plot ETA(e[2]) 50 -8 8 [PTordering]
    - ma5>plot PHI(e[2]) 32 -3.2 3.2 [PTordering]
    - ma5>plot E(e[2]) 50 0 2000 [PTordering]
    - ma5>plot MT_MET(e[2]) 50 0 1000 [PTordering]
    - ma5>plot M(e[1] e[2]) 50 0 1000 [PTordering]
    - ma5>plot PT(e[1] e[2]) 50 0 1500 [PTordering]
    - ma5>plot DELTAR(e[1],e[2]) 50 0 10 [PTordering]
    - ma5>plot DPHI_0_PI(e[1],e[2]) 32 0 3.2 [PTordering]
    - ma5>plot DPHI_0_2PI(e[1],e[2]) 32 0 6.4 [PTordering]
    - ma5>
    - ma5>
    - ma5>
    - ma5>plot PT(mu) 50 0 1000 [PTordering]
    - ma5>plot ETA(mu) 50 -8 8
    - ma5>plot ABSETA(mu) 50 0 8
    - ma5>plot PHI(mu) 32 -3.2 3.2
    - ma5>plot E(mu) 50 0 2000
    - ma5>plot ET(mu) 50 0 2000
    - ma5>plot M(mu) 50 0 20
    - ma5>plot MT(mu) 50 0 1000
    - ma5>plot MT_MET(mu) 50 0 1000
    - ma5>plot P(mu) 50 0 2000
    - ma5>plot PX(mu) 50 -1000 1000
    - ma5>plot PY(mu) 50 -1000 1000
    - ma5>plot PZ(mu) 50 -2000 2000
    - ma5>plot R(mu) 50 0 10
    - ma5>plot Y(mu) 50 -8 8
    - ma5>plot BETA(mu) 50 0 1.2
    - ma5>plot GAMMA(mu) 50 1 100
    - ma5>
    - ma5>plot PT(mu[1]) 50 0 1000 [PTordering]
    - ma5>plot ETA(mu[1]) 50 -8 8 [PTordering]
    - ma5>plot PHI(mu[1]) 32 -3.2 3.2 [PTordering]
    - ma5>plot E(mu[1]) 50 0 2000 [PTordering]
    - ma5>plot MT_MET(mu[1]) 50 0 1000 [PTordering]
    - ma5>plot PT(mu[2]) 50 0 1000 [PTordering]
    - ma5>plot ETA(mu[2]) 50 -8 8 [PTordering]
    - ma5>plot PHI(mu[2]) 32 -3.2 3.2 [PTordering]
    - ma5>plot E(mu[2]) 50 0 2000 [PTordering]
    - ma5>plot MT_MET(mu[2]) 50 0 1000 [PTordering]
    - ma5>plot M(mu[1] mu[2]) 50 0 1000 [PTordering]
    - ma5>plot PT(mu[1] mu[2]) 50 0 1500 [PTordering]
    - ma5>plot DELTAR(mu[1],mu[2]) 50 0 10 [PTordering]
    - ma5>plot DPHI_0_PI(mu[1],mu[2]) 32 0 3.2 [PTordering]
    - ma5>plot DPHI_0_2PI(mu[1],mu[2]) 32 0 6.4 [PTordering]
    - ma5>
    - ma5>
    - ma5>
    - ma5>plot PT(b) 50 0 1000 [PTordering]
    - ma5>plot ETA(b) 50 -8 8
    - ma5>plot ABSETA(b) 50 0 8
    - ma5>plot PHI(b) 32 -3.2 3.2
    - ma5>plot E(b) 50 0 2000
    - ma5>plot ET(b) 50 0 2000
    - ma5>plot M(b) 50 0 50
    - ma5>plot MT(b) 50 0 1000
    - ma5>plot MT_MET(b) 50 0 1000
    - ma5>plot P(b) 50 0 2000
    - ma5>plot PX(b) 50 -1000 1000
    - ma5>plot PY(b) 50 -1000 1000
    - ma5>plot PZ(b) 50 -2000 2000
    - ma5>plot R(b) 50 0 10
    - ma5>plot Y(b) 50 -8 8
    - ma5>plot BETA(b) 50 0 1.2
    - ma5>plot GAMMA(b) 50 1 100
    - ma5>
    - ma5>plot PT(b[1]) 50 0 1000 [PTordering]
    - ma5>plot ETA(b[1]) 50 -8 8 [PTordering]
    - ma5>plot PHI(b[1]) 32 -3.2 3.2 [PTordering]
    - ma5>plot E(b[1]) 50 0 2000 [PTordering]
    - ma5>plot MT_MET(b[1]) 50 0 1000 [PTordering]
    - ma5>plot PT(b[2]) 50 0 1000 [PTordering]
    - ma5>plot ETA(b[2]) 50 -8 8 [PTordering]
    - ma5>plot PHI(b[2]) 32 -3.2 3.2 [PTordering]
    - ma5>plot E(b[2]) 50 0 2000 [PTordering]
    - ma5>plot MT_MET(b[2]) 50 0 1000 [PTordering]
    - ma5>plot M(b[1] b[2]) 50 0 2000 [PTordering]
    - ma5>plot PT(b[1] b[2]) 50 0 2000 [PTordering]
    - ma5>plot DELTAR(b[1],b[2]) 50 0 10 [PTordering]
    - ma5>plot DPHI_0_PI(b[1],b[2]) 32 0 3.2 [PTordering]
    - ma5>plot DPHI_0_2PI(b[1],b[2]) 32 0 6.4 [PTordering]
    - ma5>
    - ma5>
    - ma5>
    - ma5>plot PT(j) 50 0 1000 [PTordering]
    - ma5>plot ETA(j) 50 -8 8
    - ma5>plot ABSETA(j) 50 0 8
    - ma5>plot PHI(j) 32 -3.2 3.2
    - ma5>plot E(j) 50 0 2000
    - ma5>plot ET(j) 50 0 2000
    - ma5>plot M(j) 50 0 200
    - ma5>plot MT(j) 50 0 1000
    - ma5>plot MT_MET(j) 50 0 1000
    - ma5>plot P(j) 50 0 2000
    - ma5>plot PX(j) 50 -1000 1000
    - ma5>plot PY(j) 50 -1000 1000
    - ma5>plot PZ(j) 50 -2000 2000
    - ma5>plot R(j) 50 0 10
    - ma5>plot Y(j) 50 -8 8
    - ma5>plot BETA(j) 50 0 1.2
    - ma5>plot GAMMA(j) 50 1 100
    - ma5>
    - ma5>plot PT(j[1]) 50 0 1000 [PTordering]
    - ma5>plot ETA(j[1]) 50 -8 8 [PTordering]
    - ma5>plot PHI(j[1]) 32 -3.2 3.2 [PTordering]
    - ma5>plot E(j[1]) 50 0 2000 [PTordering]
    - ma5>plot MT_MET(j[1]) 50 0 1000 [PTordering]
    - ma5>plot PT(j[2]) 50 0 1000 [PTordering]
    - ma5>plot ETA(j[2]) 50 -8 8 [PTordering]
    - ma5>plot PHI(j[2]) 32 -3.2 3.2 [PTordering]
    - ma5>plot E(j[2]) 50 0 2000 [PTordering]
    - ma5>plot MT_MET(j[2]) 50 0 1000 [PTordering]
    - ma5>plot M(j[1] j[2]) 50 0 3000 [PTordering]
    - ma5>plot PT(j[1] j[2]) 50 0 3000 [PTordering]
    - ma5>plot DELTAR(j[1],j[2]) 50 0 10 [PTordering]
    - ma5>plot DPHI_0_PI(j[1],j[2]) 32 0 3.2 [PTordering]
    - ma5>plot DPHI_0_2PI(j[1],j[2]) 32 0 6.4 [PTordering]
    - ma5>
    - ma5>
    - ma5>
    - ma5>plot DELTAR(e,e) 50 0 10
    - ma5>plot DPHI_0_PI(e,e) 32 0 3.2
    - ma5>plot DPHI_0_2PI(e,e) 32 0 6.4
    - ma5>plot M(e e) 50 0 1000
    - ma5>plot PT(e e) 50 0 1500
    - ma5>plot DELTAR(mu,mu) 50 0 10
    - ma5>plot DPHI_0_PI(mu,mu) 32 0 3.2
    - ma5>plot DPHI_0_2PI(mu,mu) 32 0 6.4
    - ma5>plot M(mu mu) 50 0 1000
    - ma5>plot PT(mu mu) 50 0 1500
    - ma5>plot DELTAR(b,b) 50 0 10
    - ma5>plot DPHI_0_PI(b,b) 32 0 3.2
    - ma5>plot DPHI_0_2PI(b,b) 32 0 6.4
    - ma5>plot M(b b) 50 0 2000
    - ma5>plot PT(b b) 50 0 2000
    - ma5>plot DELTAR(j,j) 50 0 10
    - ma5>plot DPHI_0_PI(j,j) 32 0 3.2
    - ma5>plot DPHI_0_2PI(j,j) 32 0 6.4
    - ma5>plot M(j j) 50 0 3000
    - ma5>plot PT(j j) 50 0 3000
    - ma5>
    - ma5>plot DELTAR(e,mu) 50 0 10
    - ma5>plot DELTAR(e,j) 50 0 10
    - ma5>plot DELTAR(mu,j) 50 0 10
    - ma5>plot DELTAR(b,j) 50 0 10
    - ma5>plot M(e mu) 50 0 1000
    - ma5>plot M(e j) 50 0 2000
    - ma5>plot M(mu j) 50 0 2000
    - ma5>plot M(b j) 50 0 3000
    - ma5>plot PT(e mu) 50 0 1500
    - ma5>plot PT(b j) 50 0 3000
    - ma5>
    - ma5>plot DELTAR(e[1],mu[1]) 50 0 10 [PTordering]
    - ma5>plot DELTAR(e[1],j[1]) 50 0 10 [PTordering]
    - ma5>plot DELTAR(mu[1],j[1]) 50 0 10 [PTordering]
    - ma5>plot DELTAR(b[1],j[1]) 50 0 10 [PTordering]
    - ma5>plot M(e[1] mu[1]) 50 0 1000 [PTordering]
    - ma5>plot M(e[1] j[1]) 50 0 2000 [PTordering]
    - ma5>plot M(mu[1] j[1]) 50 0 2000 [PTordering]
    - ma5>plot M(b[1] j[1]) 50 0 3000 [PTordering]
    - ma5>plot PT(e[1] mu[1]) 50 0 1500 [PTordering]
    - ma5>plot PT(b[1] j[1]) 50 0 3000 [PTordering]
    - ma5>submit
    -
    -

    Configuration

    -
      -
    • - MadAnalysis version 1.11.0 (2025/04/23).
      -
      • -
    • - Histograms are not scaled.
      -
      • -
    -

    - -

    Datasets


    -

    testset

    -
      -
    • - Sample consisting of: signal events.
      -
      • -
    • - Generated events: 1000 events.
      -
      • -
    • - Normalization to the luminosity: 15447 +/- 114 events.
      -
      • -
    • - Ratio (event weight): 15 - warning: please generate more events (weight larger than 1)!
      -
      • -
    - - - - - - - - - - - - - -
    - Path to the event file
    -     		- Nr. of events
    -     		- Cross section (pb)
    -     		- Negative wgts (%)
    -
    - samples/ttbar_sl_1.lhe.gz
    -     		- 1000
    -     		- 15.4 @ 0.74%
    -     		- 0.0
    -


    -

    - -

    Histos and cuts


    -

    Histogram 1


    -* Plot: SQRTS
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 489.445
    -     		- 124.1
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 2


    -* Plot: SCALE
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 214.211
    -     		- 45.19
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 3


    -* Plot: ALPHA_QCD
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.114843
    -     		- 0.002765
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 4


    -* Plot: ALPHA_QED
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.0795775
    -     		- 4.683e-05
    -     		- 0.0
    -     		- 100.0
    -


    -
    - -


    -
    -

    Histogram 5


    -* Plot: TET
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 308.078
    -     		- 93.57
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 6


    -* Plot: THT
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 258.83
    -     		- 79.71
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 7


    -* Plot: MET
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 58.7171
    -     		- 37.97
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 8


    -* Plot: MHT
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 83.1686
    -     		- 52.75
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 9


    -* Plot: NPID
    -

    - - - - - - - - - - - - -
    - Statistics table
    -
    - Dataset
    -     		- Integral
    -     		- Entries / events
    -
    - testset
    -     		- 92.7
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 10


    -* Plot: NAPID
    -

    - - - - - - - - - - - - -
    - Statistics table
    -
    - Dataset
    -     		- Integral
    -     		- Entries / events
    -
    - testset
    -     		- 92.7
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 11


    -* Plot: WEIGHTS
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.0154478
    -     		- 1.051e-05
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 12


    -* Plot: PT ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 49.9595
    -     		- 38.03
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 13


    -* Plot: ETA ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 0.0509938
    -     		- 1.152
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 14


    -* Plot: ABSETA ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 0.946635
    -     		- 0.6582
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 15


    -* Plot: PHI ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 0.0207825
    -     		- 1.754
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 16


    -* Plot: E ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 87.8171
    -     		- 77.33
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 17


    -* Plot: ET ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 49.9595
    -     		- 38.03
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 18


    -* Plot: M ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 1.44661e-06
    -     		- 0.0005939
    -     		- 51.58
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 19


    -* Plot: MT ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 0.000106287
    -     		- 0.0001899
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 20


    -* Plot: MT_MET ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 58.4921
    -     		- 22.25
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 21


    -* Plot: P ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 87.8171
    -     		- 77.33
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 22


    -* Plot: PX ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 2.09172
    -     		- 43.07
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 23


    -* Plot: PY ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 0.615749
    -     		- 45.63
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 24


    -* Plot: PZ ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 7.00982
    -     		- 98.49
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 25


    -* Plot: R ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 1.93047
    -     		- 0.8241
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 26


    -* Plot: Y ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 0.0509938
    -     		- 1.152
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 27


    -* Plot: BETA ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 1.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 28


    -* Plot: GAMMA ( e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- nan
    -     		- nan
    -     		- 0.0
    -     		- 48.42
    -


    -
    - -


    -
    -

    Histogram 29


    -* Plot: PT ( e[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 49.9595
    -     		- 38.03
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 30


    -* Plot: ETA ( e[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 0.0509938
    -     		- 1.152
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 31


    -* Plot: PHI ( e[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 0.0207825
    -     		- 1.754
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 32


    -* Plot: E ( e[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 87.8171
    -     		- 77.33
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 33


    -* Plot: MT_MET ( e[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 58.4921
    -     		- 22.25
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 34


    -* Plot: PT ( e[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 35


    -* Plot: ETA ( e[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 36


    -* Plot: PHI ( e[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 37


    -* Plot: E ( e[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 38


    -* Plot: MT_MET ( e[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 39


    -* Plot: M ( e[1] e[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 40


    -* Plot: PT ( e[1] e[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 41


    -* Plot: DELTAR ( e[1] , e[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 42


    -* Plot: DPHI_0_PI ( e[1] , e[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 43


    -* Plot: DPHI_0_2PI ( e[1] , e[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 44


    -* Plot: PT ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 48.5205
    -     		- 33.1
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 45


    -* Plot: ETA ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 0.0359047
    -     		- 1.13
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 46


    -* Plot: ABSETA ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 0.938579
    -     		- 0.6297
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 47


    -* Plot: PHI ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- -0.0970943
    -     		- 1.804
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 48


    -* Plot: E ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 83.6679
    -     		- 68.85
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 49


    -* Plot: ET ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 48.5205
    -     		- 33.1
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 50


    -* Plot: M ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 5.6886e-06
    -     		- 0.0005586
    -     		- 47.57
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 51


    -* Plot: MT ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 0.000106791
    -     		- 0.0001948
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 52


    -* Plot: MT_MET ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 59.2324
    -     		- 21.72
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 53


    -* Plot: P ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 83.6679
    -     		- 68.85
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 54


    -* Plot: PX ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 1.91001
    -     		- 42.25
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 55


    -* Plot: PY ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- -0.97706
    -     		- 40.74
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 56


    -* Plot: PZ ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- -0.0695523
    -     		- 91.06
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 57


    -* Plot: R ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 1.9459
    -     		- 0.8686
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 58


    -* Plot: Y ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 0.0359047
    -     		- 1.13
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 59


    -* Plot: BETA ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 1.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 60


    -* Plot: GAMMA ( mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- nan
    -     		- nan
    -     		- 0.0
    -     		- 52.43
    -


    -
    - -


    -
    -

    Histogram 61


    -* Plot: PT ( mu[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 48.5205
    -     		- 33.1
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 62


    -* Plot: ETA ( mu[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 0.0359047
    -     		- 1.13
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 63


    -* Plot: PHI ( mu[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- -0.0970943
    -     		- 1.804
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 64


    -* Plot: E ( mu[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 83.6679
    -     		- 68.85
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 65


    -* Plot: MT_MET ( mu[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 59.2324
    -     		- 21.72
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 66


    -* Plot: PT ( mu[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 67


    -* Plot: ETA ( mu[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 68


    -* Plot: PHI ( mu[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 69


    -* Plot: E ( mu[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 70


    -* Plot: MT_MET ( mu[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 71


    -* Plot: M ( mu[1] mu[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 72


    -* Plot: PT ( mu[1] mu[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 73


    -* Plot: DELTAR ( mu[1] , mu[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 74


    -* Plot: DPHI_0_PI ( mu[1] , mu[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 75


    -* Plot: DPHI_0_2PI ( mu[1] , mu[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 76


    -* Plot: PT ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 72.2733
    -     		- 38.02
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 77


    -* Plot: ETA ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.048521
    -     		- 1.264
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 78


    -* Plot: ABSETA ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 1.02001
    -     		- 0.7485
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 79


    -* Plot: PHI ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.0257839
    -     		- 1.82
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 80


    -* Plot: E ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 139.461
    -     		- 106.8
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 81


    -* Plot: ET ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 72.3671
    -     		- 37.99
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 82


    -* Plot: M ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 4.7
    -     		- 0.001892
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 83


    -* Plot: MT ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 3.10162
    -     		- 1.297
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 84


    -* Plot: MT_MET ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 87.6682
    -     		- 54.39
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 85


    -* Plot: P ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 139.338
    -     		- 106.9
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 86


    -* Plot: PX ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- -1.79812
    -     		- 56.57
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 87


    -* Plot: PY ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 1.05422
    -     		- 58.87
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 88


    -* Plot: PZ ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 2.7842
    -     		- 155.5
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 89


    -* Plot: R ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 2.03579
    -     		- 0.878
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 90


    -* Plot: Y ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.0482562
    -     		- 1.261
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 91


    -* Plot: BETA ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.998042
    -     		- 0.002796
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 92


    -* Plot: GAMMA ( b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 29.6726
    -     		- 22.73
    -     		- 0.0
    -     		- 2.3
    -


    -
    - -


    -
    -

    Histogram 93


    -* Plot: PT ( b[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 72.2733
    -     		- 38.02
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 94


    -* Plot: ETA ( b[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.048521
    -     		- 1.264
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 95


    -* Plot: PHI ( b[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.0257839
    -     		- 1.82
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 96


    -* Plot: E ( b[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 139.461
    -     		- 106.8
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 97


    -* Plot: MT_MET ( b[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 87.6682
    -     		- 54.39
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 98


    -* Plot: PT ( b[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 99


    -* Plot: ETA ( b[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 100


    -* Plot: PHI ( b[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 101


    -* Plot: E ( b[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 102


    -* Plot: MT_MET ( b[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 103


    -* Plot: M ( b[1] b[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 104


    -* Plot: PT ( b[1] b[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 105


    -* Plot: DELTAR ( b[1] , b[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 106


    -* Plot: DPHI_0_PI ( b[1] , b[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 107


    -* Plot: DPHI_0_2PI ( b[1] , b[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 108


    -* Plot: PT ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 56.3608
    -     		- 32.57
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 109


    -* Plot: ETA ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 0.0219264
    -     		- 1.2
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 110


    -* Plot: ABSETA ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 0.971377
    -     		- 0.7051
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 111


    -* Plot: PHI ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 0.0781512
    -     		- 1.851
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 112


    -* Plot: E ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 104.57
    -     		- 85.46
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 113


    -* Plot: ET ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 56.3608
    -     		- 32.57
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 114


    -* Plot: M ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- -1.3327e-05
    -     		- 0.0006733
    -     		- 50.9
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 115


    -* Plot: MT ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 0.000121728
    -     		- 0.0002075
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 116


    -* Plot: MT_MET ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 82.308
    -     		- 60.37
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 117


    -* Plot: P ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 104.57
    -     		- 85.46
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 118


    -* Plot: PX ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- -2.36396
    -     		- 45.86
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 119


    -* Plot: PY ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 1.06079
    -     		- 46.13
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 120


    -* Plot: PZ ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 4.14477
    -     		- 118.3
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 121


    -* Plot: R ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 2.036
    -     		- 0.8521
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 122


    -* Plot: Y ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 0.0219264
    -     		- 1.2
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 123


    -* Plot: BETA ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 1.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 124


    -* Plot: GAMMA ( j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- nan
    -     		- nan
    -     		- 0.0
    -     		- 49.1
    -


    -
    - -


    -
    -

    Histogram 125


    -* Plot: PT ( j[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 74.0942
    -     		- 34.32
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 126


    -* Plot: ETA ( j[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.0200712
    -     		- 1.117
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 127


    -* Plot: PHI ( j[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.0625323
    -     		- 1.856
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 128


    -* Plot: E ( j[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 129.519
    -     		- 93.36
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 129


    -* Plot: MT_MET ( j[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 98.7583
    -     		- 67.56
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 130


    -* Plot: PT ( j[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 38.6273
    -     		- 17.75
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 131


    -* Plot: ETA ( j[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.0237817
    -     		- 1.278
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 132


    -* Plot: PHI ( j[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 0.0937701
    -     		- 1.845
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 133


    -* Plot: E ( j[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 79.6223
    -     		- 68.15
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 134


    -* Plot: MT_MET ( j[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 65.8576
    -     		- 46.73
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 135


    -* Plot: M ( j[1] j[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 80.3339
    -     		- 4.323
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 136


    -* Plot: PT ( j[1] j[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 86.6463
    -     		- 54.96
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 137


    -* Plot: DELTAR ( j[1] , j[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 1.90737
    -     		- 0.6749
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 138


    -* Plot: DPHI_0_PI ( j[1] , j[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 1.55671
    -     		- 0.809
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 139


    -* Plot: DPHI_0_2PI ( j[1] , j[2] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 3.02239
    -     		- 1.775
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 140


    -* Plot: DELTAR ( e , e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 141


    -* Plot: DPHI_0_PI ( e , e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 142


    -* Plot: DPHI_0_2PI ( e , e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 143


    -* Plot: M ( e e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 144


    -* Plot: PT ( e e )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 145


    -* Plot: DELTAR ( mu , mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 146


    -* Plot: DPHI_0_PI ( mu , mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 147


    -* Plot: DPHI_0_2PI ( mu , mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 148


    -* Plot: M ( mu mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 149


    -* Plot: PT ( mu mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 150


    -* Plot: DELTAR ( b , b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 151


    -* Plot: DPHI_0_PI ( b , b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 152


    -* Plot: DPHI_0_2PI ( b , b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 153


    -* Plot: M ( b b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 154


    -* Plot: PT ( b b )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 155


    -* Plot: DELTAR ( j , j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 1.90737
    -     		- 0.6749
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 156


    -* Plot: DPHI_0_PI ( j , j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 1.55671
    -     		- 0.809
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 157


    -* Plot: DPHI_0_2PI ( j , j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 3.14159
    -     		- 1.779
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 158


    -* Plot: M ( j j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 80.3339
    -     		- 4.323
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 159


    -* Plot: PT ( j j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 86.6463
    -     		- 54.96
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 160


    -* Plot: DELTAR ( e , mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 161


    -* Plot: DELTAR ( e , j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.6
    -     		- 2.0
    -     		- 2.3081
    -     		- 0.8766
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 162


    -* Plot: DELTAR ( mu , j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.3
    -     		- 2.0
    -     		- 2.25996
    -     		- 0.8857
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 163


    -* Plot: DELTAR ( b , j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 2.25698
    -     		- 0.8185
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 164


    -* Plot: M ( e mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 165


    -* Plot: M ( e j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.6
    -     		- 2.0
    -     		- 106.004
    -     		- 73.86
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 166


    -* Plot: M ( j mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.3
    -     		- 2.0
    -     		- 101.989
    -     		- 66.26
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 167


    -* Plot: M ( b j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 120.153
    -     		- 62.93
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 168


    -* Plot: PT ( e mu )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 169


    -* Plot: PT ( b j )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 30.9
    -     		- 2.0
    -     		- 80.8933
    -     		- 46.34
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 170


    -* Plot: DELTAR ( e[1] , mu[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 171


    -* Plot: DELTAR ( e[1] , j[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 2.34591
    -     		- 0.8529
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 172


    -* Plot: DELTAR ( mu[1] , j[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 2.32408
    -     		- 0.8288
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 173


    -* Plot: DELTAR ( b[1] , j[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 2.26008
    -     		- 0.798
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 174


    -* Plot: M ( e[1] mu[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 175


    -* Plot: M ( e[1] j[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.82
    -     		- 1.0
    -     		- 123.783
    -     		- 81.94
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 176


    -* Plot: M ( j[1] mu[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 7.63
    -     		- 1.0
    -     		- 117.989
    -     		- 70.7
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 177


    -* Plot: M ( b[1] j[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 137.213
    -     		- 66.95
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 178


    -* Plot: PT ( e[1] mu[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 0.0 +/- 0.0
    -     		- 0.
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -

    Histogram 179


    -* Plot: PT ( b[1] j[1] )
    -

    - - - - - - - - - - - - - - - - - - - -
    - Dataset
    -     		- Integral
    -     		- Entries per event
    -     		- Mean
    -     		- RMS
    -     		- % underflow
    -     		- % overflow
    -
    - testset
    -     		- 15.4
    -     		- 1.0
    -     		- 87.1047
    -     		- 50.81
    -     		- 0.0
    -     		- 0.0
    -


    -
    - -


    -
    -
    -
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zXDrG%<*XrzdVTI6Kpzd~mVxsJ{^z}z-Mz1RzkKjC%I;V9O~b~6-8VDAxvk?k`ro!c z_4L`|zwOoF0dGO)->lNK%<@;Km#RMAT^tTrIWvqKcsM++?&tpe$w=*)D(;NbcD(nd zq;C56ul{N%xM>R*tk_tl?O3iaA{70C=;W7Nec)EaNHu*& zGs49##uLm#w&<~iaXVjMr|NzLVV>$oo=Gx<*CE}7d$)*Jl1) z*w2+r*ZDf#v4mVVurTg__d6Ok|2y?PV4bC&53&CgTm*(>@-#PNJ_ebnSmI9zrhl1(@Wtx$_&X z`n}mD(R86uKGxm+Zv9j9=4j>I>K&h%%EB*4@gv>-dy@%2S9S284FCG$zVlmO0@8i) zBWw8j+3wVB3&Z-o)b!su*6O$GhYYe${GiAGB=9uFB(wAkl zS*1qQS`1o4%PTx-lJVQT7FA@zxN;_d%YT-4G`*hf;(2VaUWS=HF* ztzH$#k}VAf?`3^yHlKqNX;~;ldcO|0uSttB6r!6%HG$)PC+@IQKf zA>g;6aG_l0lOpi25rYqU?xv+>7gsK>hVpc&TG)$@TZCC&9mc3Ro%f$!gA+LtZKKX` z_d|P0pTSn2bi>nnwycOj)^?G#o;AD;rT1ikh6>sd8T#o`5pq1b@_@#1oM0bLt?ot$aE*4m8vW~4t zqNo*V0z(zEO=(FEx-M1i6Ew<#jY0_HD0^GU%;wI!P_LnpSD57G__#BnJY;39-Tf5t#eo8^_WSyfF*vs~C zoOe4dd7+v_g`+fewa+R~Q~%5aXX8x}(D@xRv_aJkUrV!(AyRXv+j*kPNOMX1#3{xF5At;TghonPKbESXf9kW9du@ld z@=9xEI2_9~bblJx^NWzxCrN~V@v2e#?7#6 - -// ROOT headers -#include -#include -#include -#include -#include -#include -#include -#include -#include - -// Including histograms -#include "selection_0.C" -#include "selection_1.C" -#include "selection_2.C" -#include "selection_3.C" -#include "selection_4.C" -#include "selection_5.C" -#include "selection_6.C" -#include "selection_7.C" -#include "selection_8.C" -#include "selection_9.C" -#include "selection_10.C" -#include "selection_11.C" -#include "selection_12.C" -#include "selection_13.C" -#include "selection_14.C" -#include "selection_15.C" -#include "selection_16.C" -#include "selection_17.C" -#include "selection_18.C" -#include "selection_19.C" -#include "selection_20.C" -#include "selection_21.C" -#include "selection_22.C" -#include "selection_23.C" -#include "selection_24.C" -#include "selection_25.C" -#include "selection_26.C" -#include "selection_27.C" -#include "selection_28.C" -#include "selection_29.C" -#include "selection_30.C" -#include "selection_31.C" -#include "selection_32.C" -#include "selection_33.C" -#include "selection_34.C" -#include "selection_35.C" -#include "selection_36.C" -#include "selection_37.C" -#include "selection_38.C" -#include "selection_39.C" -#include "selection_40.C" -#include "selection_41.C" -#include "selection_42.C" -#include "selection_43.C" -#include "selection_44.C" -#include "selection_45.C" -#include "selection_46.C" -#include "selection_47.C" -#include "selection_48.C" -#include "selection_49.C" -#include "selection_50.C" -#include "selection_51.C" -#include "selection_52.C" -#include "selection_53.C" -#include "selection_54.C" -#include "selection_55.C" -#include "selection_56.C" -#include "selection_57.C" -#include "selection_58.C" -#include "selection_59.C" -#include "selection_60.C" -#include "selection_61.C" -#include "selection_62.C" -#include "selection_63.C" -#include "selection_64.C" -#include "selection_65.C" -#include "selection_66.C" -#include "selection_67.C" -#include "selection_68.C" -#include "selection_69.C" -#include "selection_70.C" -#include "selection_71.C" -#include "selection_72.C" -#include "selection_73.C" -#include "selection_74.C" -#include "selection_75.C" -#include "selection_76.C" -#include "selection_77.C" -#include "selection_78.C" -#include "selection_79.C" -#include "selection_80.C" -#include "selection_81.C" -#include "selection_82.C" -#include "selection_83.C" -#include "selection_84.C" -#include "selection_85.C" -#include "selection_86.C" -#include "selection_87.C" -#include "selection_88.C" -#include "selection_89.C" -#include "selection_90.C" -#include "selection_91.C" -#include "selection_92.C" -#include "selection_93.C" -#include "selection_94.C" -#include "selection_95.C" -#include "selection_96.C" -#include "selection_97.C" -#include "selection_98.C" -#include "selection_99.C" -#include "selection_100.C" -#include "selection_101.C" -#include "selection_102.C" -#include "selection_103.C" -#include "selection_104.C" -#include "selection_105.C" -#include "selection_106.C" -#include "selection_107.C" -#include "selection_108.C" -#include "selection_109.C" -#include "selection_110.C" -#include "selection_111.C" -#include "selection_112.C" -#include "selection_113.C" -#include "selection_114.C" -#include "selection_115.C" -#include "selection_116.C" -#include "selection_117.C" -#include "selection_118.C" -#include "selection_119.C" -#include "selection_120.C" -#include "selection_121.C" -#include "selection_122.C" -#include "selection_123.C" -#include "selection_124.C" -#include "selection_125.C" -#include "selection_126.C" -#include "selection_127.C" -#include "selection_128.C" -#include "selection_129.C" -#include "selection_130.C" -#include "selection_131.C" -#include "selection_132.C" -#include "selection_133.C" -#include "selection_134.C" -#include "selection_135.C" -#include "selection_136.C" -#include "selection_137.C" -#include "selection_138.C" -#include "selection_139.C" -#include "selection_140.C" -#include "selection_141.C" -#include "selection_142.C" -#include "selection_143.C" -#include "selection_144.C" -#include "selection_145.C" -#include "selection_146.C" -#include "selection_147.C" -#include "selection_148.C" -#include "selection_149.C" -#include "selection_150.C" -#include "selection_151.C" -#include "selection_152.C" -#include "selection_153.C" -#include "selection_154.C" -#include "selection_155.C" -#include "selection_156.C" -#include "selection_157.C" -#include "selection_158.C" -#include "selection_159.C" -#include "selection_160.C" -#include "selection_161.C" -#include "selection_162.C" -#include "selection_163.C" -#include "selection_164.C" -#include "selection_165.C" -#include "selection_166.C" -#include "selection_167.C" -#include "selection_168.C" -#include "selection_169.C" -#include "selection_170.C" -#include "selection_171.C" -#include "selection_172.C" -#include "selection_173.C" -#include "selection_174.C" -#include "selection_175.C" -#include "selection_176.C" -#include "selection_177.C" -#include "selection_178.C" - -// Main program -int main() -{ - std::cout << "BEGIN-STAMP" << std::endl; - selection_0(); - selection_1(); - selection_2(); - selection_3(); - selection_4(); - selection_5(); - selection_6(); - selection_7(); - selection_8(); - selection_9(); - selection_10(); - selection_11(); - selection_12(); - selection_13(); - selection_14(); - selection_15(); - selection_16(); - selection_17(); - selection_18(); - selection_19(); - selection_20(); - selection_21(); - selection_22(); - selection_23(); - selection_24(); - selection_25(); - selection_26(); - selection_27(); - selection_28(); - selection_29(); - selection_30(); - selection_31(); - selection_32(); - selection_33(); - selection_34(); - selection_35(); - selection_36(); - selection_37(); - selection_38(); - selection_39(); - selection_40(); - selection_41(); - selection_42(); - selection_43(); - selection_44(); - selection_45(); - selection_46(); - selection_47(); - selection_48(); - selection_49(); - selection_50(); - selection_51(); - selection_52(); - selection_53(); - selection_54(); - selection_55(); - selection_56(); - selection_57(); - selection_58(); - selection_59(); - selection_60(); - selection_61(); - selection_62(); - selection_63(); - selection_64(); - selection_65(); - selection_66(); - selection_67(); - selection_68(); - selection_69(); - selection_70(); - selection_71(); - selection_72(); - selection_73(); - selection_74(); - selection_75(); - selection_76(); - selection_77(); - selection_78(); - selection_79(); - selection_80(); - selection_81(); - selection_82(); - selection_83(); - selection_84(); - selection_85(); - selection_86(); - selection_87(); - selection_88(); - selection_89(); - selection_90(); - selection_91(); - selection_92(); - selection_93(); - selection_94(); - selection_95(); - selection_96(); - selection_97(); - selection_98(); - selection_99(); - selection_100(); - selection_101(); - selection_102(); - selection_103(); - selection_104(); - selection_105(); - selection_106(); - selection_107(); - selection_108(); - selection_109(); - selection_110(); - selection_111(); - selection_112(); - selection_113(); - selection_114(); - selection_115(); - selection_116(); - selection_117(); - selection_118(); - selection_119(); - selection_120(); - selection_121(); - selection_122(); - selection_123(); - selection_124(); - selection_125(); - selection_126(); - selection_127(); - selection_128(); - selection_129(); - selection_130(); - selection_131(); - selection_132(); - selection_133(); - selection_134(); - selection_135(); - selection_136(); - selection_137(); - selection_138(); - selection_139(); - selection_140(); - selection_141(); - selection_142(); - selection_143(); - selection_144(); - selection_145(); - selection_146(); - selection_147(); - selection_148(); - selection_149(); - selection_150(); - selection_151(); - selection_152(); - selection_153(); - selection_154(); - selection_155(); - selection_156(); - selection_157(); - selection_158(); - selection_159(); - selection_160(); - selection_161(); - selection_162(); - selection_163(); - selection_164(); - selection_165(); - selection_166(); - selection_167(); - selection_168(); - selection_169(); - selection_170(); - selection_171(); - selection_172(); - selection_173(); - selection_174(); - selection_175(); - selection_176(); - selection_177(); - selection_178(); - std::cout << "END-STAMP" << std::endl; - return 0; -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/compile_root.log b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/compile_root.log deleted file mode 100644 index efac683b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/compile_root.log +++ /dev/null @@ -1,13 +0,0 @@ -`/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/ExternalSymLink/Bin/root-config --cxx` `/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/ExternalSymLink/Bin/root-config --cflags` all.C `/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/tools/SampleAnalyzer/ExternalSymLink/Bin/root-config --libs` -o goROOT -In file included from all.C:8: -In file included from /Applications/Root/include/TCanvas.h:15: -In file included from /Applications/Root/include/TPad.h:15: -In file included from /Applications/Root/include/TVirtualPad.h:30: -In file included from /Applications/Root/include/TQObject.h:42: -/Applications/Root/include/TVirtualQConnection.h:53:42: warning: 'sizeof (val)' will return the size of the pointer, not the array itself [-Wsizeof-pointer-div] - constexpr size_t size = sizeof(val)/sizeof(val[0]); - ~~~~~~~~~~~^ -/Applications/Root/include/TVirtualQConnection.h:51:25: note: pointer 'val' declared here - void SetArg(const T* val) - ^ -1 warning generated. diff --git 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../../HTML/MadAnalysis5job_0/selection_173.png has been created -Info in : png file ../../PDF/MadAnalysis5job_0/selection_173.png has been created -Info in : eps file ../../DVI/MadAnalysis5job_0/selection_173.eps has been created -Info in : png file ../../HTML/MadAnalysis5job_0/selection_174.png has been created -Info in : png file ../../PDF/MadAnalysis5job_0/selection_174.png has been created -Info in : eps file ../../DVI/MadAnalysis5job_0/selection_174.eps has been created -Info in : png file ../../HTML/MadAnalysis5job_0/selection_175.png has been created -Info in : png file ../../PDF/MadAnalysis5job_0/selection_175.png has been created -Info in : eps file ../../DVI/MadAnalysis5job_0/selection_175.eps has been created -Info in : png file ../../HTML/MadAnalysis5job_0/selection_176.png has been created -Info in : png file ../../PDF/MadAnalysis5job_0/selection_176.png has been created -Info in : eps file ../../DVI/MadAnalysis5job_0/selection_176.eps has been created -Info in : png file ../../HTML/MadAnalysis5job_0/selection_177.png has been created -Info in : png file ../../PDF/MadAnalysis5job_0/selection_177.png has been created -Info in : eps file ../../DVI/MadAnalysis5job_0/selection_177.eps has been created -Info in : png file ../../HTML/MadAnalysis5job_0/selection_178.png has been created -Info in : png file ../../PDF/MadAnalysis5job_0/selection_178.png has been created -Info in : eps file ../../DVI/MadAnalysis5job_0/selection_178.eps has been created -END-STAMP diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_0.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_0.C deleted file mode 100644 index 07f6e5b3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_0.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_0() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo1","canvas_plotflow_tempo1",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S1_SQRTS_0 = new TH1F("S1_SQRTS_0","S1_SQRTS_0",50,0.0,5000.0); - // Content - S1_SQRTS_0->SetBinContent(0,0.0); // underflow - S1_SQRTS_0->SetBinContent(1,0.0); - S1_SQRTS_0->SetBinContent(2,0.0); - S1_SQRTS_0->SetBinContent(3,0.0); - S1_SQRTS_0->SetBinContent(4,3.738375); - S1_SQRTS_0->SetBinContent(5,6.457193); - S1_SQRTS_0->SetBinContent(6,2.965983); - S1_SQRTS_0->SetBinContent(7,1.158587); - S1_SQRTS_0->SetBinContent(8,0.5870175); - S1_SQRTS_0->SetBinContent(9,0.3553001); - S1_SQRTS_0->SetBinContent(10,0.1235826); - S1_SQRTS_0->SetBinContent(11,0.04634349); - S1_SQRTS_0->SetBinContent(12,0.0); - S1_SQRTS_0->SetBinContent(13,0.01544783); - S1_SQRTS_0->SetBinContent(14,0.0); - S1_SQRTS_0->SetBinContent(15,0.0); - S1_SQRTS_0->SetBinContent(16,0.0); - S1_SQRTS_0->SetBinContent(17,0.0); - S1_SQRTS_0->SetBinContent(18,0.0); - S1_SQRTS_0->SetBinContent(19,0.0); - S1_SQRTS_0->SetBinContent(20,0.0); - S1_SQRTS_0->SetBinContent(21,0.0); - S1_SQRTS_0->SetBinContent(22,0.0); - S1_SQRTS_0->SetBinContent(23,0.0); - S1_SQRTS_0->SetBinContent(24,0.0); - S1_SQRTS_0->SetBinContent(25,0.0); - S1_SQRTS_0->SetBinContent(26,0.0); - S1_SQRTS_0->SetBinContent(27,0.0); - S1_SQRTS_0->SetBinContent(28,0.0); - S1_SQRTS_0->SetBinContent(29,0.0); - S1_SQRTS_0->SetBinContent(30,0.0); - S1_SQRTS_0->SetBinContent(31,0.0); - S1_SQRTS_0->SetBinContent(32,0.0); - S1_SQRTS_0->SetBinContent(33,0.0); - S1_SQRTS_0->SetBinContent(34,0.0); - S1_SQRTS_0->SetBinContent(35,0.0); - S1_SQRTS_0->SetBinContent(36,0.0); - S1_SQRTS_0->SetBinContent(37,0.0); - S1_SQRTS_0->SetBinContent(38,0.0); - S1_SQRTS_0->SetBinContent(39,0.0); - S1_SQRTS_0->SetBinContent(40,0.0); - S1_SQRTS_0->SetBinContent(41,0.0); - S1_SQRTS_0->SetBinContent(42,0.0); - S1_SQRTS_0->SetBinContent(43,0.0); - S1_SQRTS_0->SetBinContent(44,0.0); - S1_SQRTS_0->SetBinContent(45,0.0); - S1_SQRTS_0->SetBinContent(46,0.0); - S1_SQRTS_0->SetBinContent(47,0.0); - S1_SQRTS_0->SetBinContent(48,0.0); - S1_SQRTS_0->SetBinContent(49,0.0); - S1_SQRTS_0->SetBinContent(50,0.0); - S1_SQRTS_0->SetBinContent(51,0.0); // overflow - S1_SQRTS_0->SetEntries(1000); - // Style - S1_SQRTS_0->SetLineColor(9); - S1_SQRTS_0->SetLineStyle(1); - S1_SQRTS_0->SetLineWidth(1); - S1_SQRTS_0->SetFillColor(9); - S1_SQRTS_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_2","mystack"); - stack->Add(S1_SQRTS_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#sqrt{#hat{s}} (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_0.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_0.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_0.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_0.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_0.py deleted file mode 100644 index e5b21933..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_0.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_0(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,5000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([50.0,150.0,250.0,350.0,450.0,550.0,650.0,750.0,850.0,950.0,1050.0,1150.0,1250.0,1350.0,1450.0,1550.0,1650.0,1750.0,1850.0,1950.0,2050.0,2150.0,2250.0,2350.0,2450.0,2550.0,2650.0,2750.0,2850.0,2950.0,3050.0,3150.0,3250.0,3350.0,3450.0,3550.0,3650.0,3750.0,3850.0,3950.0,4050.0,4150.0,4250.0,4350.0,4450.0,4550.0,4650.0,4750.0,4850.0,4950.0]) - - # Creating weights for histo: y1_SQRTS_0 - y1_SQRTS_0_weights = numpy.array([0.0,0.0,0.0,3.738375,6.457193,2.965983,1.158587,0.5870175,0.3553001,0.1235826,0.04634349,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y1_SQRTS_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\sqrt{\hat{s}}$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y1_SQRTS_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y1_SQRTS_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_0.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_0.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_0.eps') - -# Running! -if __name__ == '__main__': - selection_0() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_1.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_1.C deleted file mode 100644 index f6c5a389..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_1.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_1() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo3","canvas_plotflow_tempo3",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S2_SCALE_0 = new TH1F("S2_SCALE_0","S2_SCALE_0",50,0.0,2000.0); - // Content - S2_SCALE_0->SetBinContent(0,0.0); // underflow - S2_SCALE_0->SetBinContent(1,0.0); - S2_SCALE_0->SetBinContent(2,0.0); - S2_SCALE_0->SetBinContent(3,0.0); - S2_SCALE_0->SetBinContent(4,0.0); - S2_SCALE_0->SetBinContent(5,7.785706); - S2_SCALE_0->SetBinContent(6,4.896962); - S2_SCALE_0->SetBinContent(7,1.606574); - S2_SCALE_0->SetBinContent(8,0.4943306); - S2_SCALE_0->SetBinContent(9,0.3553001); - S2_SCALE_0->SetBinContent(10,0.1544783); - S2_SCALE_0->SetBinContent(11,0.1081348); - S2_SCALE_0->SetBinContent(12,0.03089566); - S2_SCALE_0->SetBinContent(13,0.0); - S2_SCALE_0->SetBinContent(14,0.01544783); - S2_SCALE_0->SetBinContent(15,0.0); - S2_SCALE_0->SetBinContent(16,0.0); - S2_SCALE_0->SetBinContent(17,0.0); - S2_SCALE_0->SetBinContent(18,0.0); - S2_SCALE_0->SetBinContent(19,0.0); - S2_SCALE_0->SetBinContent(20,0.0); - S2_SCALE_0->SetBinContent(21,0.0); - S2_SCALE_0->SetBinContent(22,0.0); - S2_SCALE_0->SetBinContent(23,0.0); - S2_SCALE_0->SetBinContent(24,0.0); - S2_SCALE_0->SetBinContent(25,0.0); - S2_SCALE_0->SetBinContent(26,0.0); - S2_SCALE_0->SetBinContent(27,0.0); - S2_SCALE_0->SetBinContent(28,0.0); - S2_SCALE_0->SetBinContent(29,0.0); - S2_SCALE_0->SetBinContent(30,0.0); - S2_SCALE_0->SetBinContent(31,0.0); - S2_SCALE_0->SetBinContent(32,0.0); - S2_SCALE_0->SetBinContent(33,0.0); - S2_SCALE_0->SetBinContent(34,0.0); - S2_SCALE_0->SetBinContent(35,0.0); - S2_SCALE_0->SetBinContent(36,0.0); - S2_SCALE_0->SetBinContent(37,0.0); - S2_SCALE_0->SetBinContent(38,0.0); - S2_SCALE_0->SetBinContent(39,0.0); - S2_SCALE_0->SetBinContent(40,0.0); - S2_SCALE_0->SetBinContent(41,0.0); - S2_SCALE_0->SetBinContent(42,0.0); - S2_SCALE_0->SetBinContent(43,0.0); - S2_SCALE_0->SetBinContent(44,0.0); - S2_SCALE_0->SetBinContent(45,0.0); - S2_SCALE_0->SetBinContent(46,0.0); - S2_SCALE_0->SetBinContent(47,0.0); - S2_SCALE_0->SetBinContent(48,0.0); - S2_SCALE_0->SetBinContent(49,0.0); - S2_SCALE_0->SetBinContent(50,0.0); - S2_SCALE_0->SetBinContent(51,0.0); // overflow - S2_SCALE_0->SetEntries(1000); - // Style - S2_SCALE_0->SetLineColor(9); - S2_SCALE_0->SetLineStyle(1); - S2_SCALE_0->SetLineWidth(1); - S2_SCALE_0->SetFillColor(9); - S2_SCALE_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_4","mystack"); - stack->Add(S2_SCALE_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("event scale Q (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_1.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_1.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_1.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_1.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_1.py deleted file mode 100644 index 7209c71d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_1.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_1(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y2_SCALE_0 - y2_SCALE_0_weights = numpy.array([0.0,0.0,0.0,0.0,7.785706,4.896962,1.606574,0.4943306,0.3553001,0.1544783,0.1081348,0.03089566,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y2_SCALE_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$event scale Q$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y2_SCALE_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y2_SCALE_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_1.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_1.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_1.eps') - -# Running! -if __name__ == '__main__': - selection_1() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_10.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_10.C deleted file mode 100644 index 62d89726..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_10.C +++ /dev/null @@ -1,167 +0,0 @@ -void selection_10() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo21","canvas_plotflow_tempo21",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S11_WEIGHTS_0 = new TH1F("S11_WEIGHTS_0","S11_WEIGHTS_0",100,-1.0,1.0); - // Content - S11_WEIGHTS_0->SetBinContent(0,0.0); // underflow - S11_WEIGHTS_0->SetBinContent(1,0.0); - S11_WEIGHTS_0->SetBinContent(2,0.0); - S11_WEIGHTS_0->SetBinContent(3,0.0); - S11_WEIGHTS_0->SetBinContent(4,0.0); - S11_WEIGHTS_0->SetBinContent(5,0.0); - S11_WEIGHTS_0->SetBinContent(6,0.0); - S11_WEIGHTS_0->SetBinContent(7,0.0); - S11_WEIGHTS_0->SetBinContent(8,0.0); - S11_WEIGHTS_0->SetBinContent(9,0.0); - S11_WEIGHTS_0->SetBinContent(10,0.0); - S11_WEIGHTS_0->SetBinContent(11,0.0); - S11_WEIGHTS_0->SetBinContent(12,0.0); - S11_WEIGHTS_0->SetBinContent(13,0.0); - S11_WEIGHTS_0->SetBinContent(14,0.0); - S11_WEIGHTS_0->SetBinContent(15,0.0); - S11_WEIGHTS_0->SetBinContent(16,0.0); - S11_WEIGHTS_0->SetBinContent(17,0.0); - S11_WEIGHTS_0->SetBinContent(18,0.0); - S11_WEIGHTS_0->SetBinContent(19,0.0); - S11_WEIGHTS_0->SetBinContent(20,0.0); - S11_WEIGHTS_0->SetBinContent(21,0.0); - S11_WEIGHTS_0->SetBinContent(22,0.0); - S11_WEIGHTS_0->SetBinContent(23,0.0); - S11_WEIGHTS_0->SetBinContent(24,0.0); - S11_WEIGHTS_0->SetBinContent(25,0.0); - S11_WEIGHTS_0->SetBinContent(26,0.0); - S11_WEIGHTS_0->SetBinContent(27,0.0); - S11_WEIGHTS_0->SetBinContent(28,0.0); - S11_WEIGHTS_0->SetBinContent(29,0.0); - S11_WEIGHTS_0->SetBinContent(30,0.0); - S11_WEIGHTS_0->SetBinContent(31,0.0); - S11_WEIGHTS_0->SetBinContent(32,0.0); - S11_WEIGHTS_0->SetBinContent(33,0.0); - S11_WEIGHTS_0->SetBinContent(34,0.0); - S11_WEIGHTS_0->SetBinContent(35,0.0); - S11_WEIGHTS_0->SetBinContent(36,0.0); - S11_WEIGHTS_0->SetBinContent(37,0.0); - S11_WEIGHTS_0->SetBinContent(38,0.0); - S11_WEIGHTS_0->SetBinContent(39,0.0); - S11_WEIGHTS_0->SetBinContent(40,0.0); - S11_WEIGHTS_0->SetBinContent(41,0.0); - S11_WEIGHTS_0->SetBinContent(42,0.0); - S11_WEIGHTS_0->SetBinContent(43,0.0); - S11_WEIGHTS_0->SetBinContent(44,0.0); - S11_WEIGHTS_0->SetBinContent(45,0.0); - S11_WEIGHTS_0->SetBinContent(46,0.0); - S11_WEIGHTS_0->SetBinContent(47,0.0); - S11_WEIGHTS_0->SetBinContent(48,0.0); - S11_WEIGHTS_0->SetBinContent(49,0.0); - S11_WEIGHTS_0->SetBinContent(50,0.0); - S11_WEIGHTS_0->SetBinContent(51,15.44783); - S11_WEIGHTS_0->SetBinContent(52,0.0); - S11_WEIGHTS_0->SetBinContent(53,0.0); - S11_WEIGHTS_0->SetBinContent(54,0.0); - S11_WEIGHTS_0->SetBinContent(55,0.0); - S11_WEIGHTS_0->SetBinContent(56,0.0); - S11_WEIGHTS_0->SetBinContent(57,0.0); - S11_WEIGHTS_0->SetBinContent(58,0.0); - S11_WEIGHTS_0->SetBinContent(59,0.0); - S11_WEIGHTS_0->SetBinContent(60,0.0); - S11_WEIGHTS_0->SetBinContent(61,0.0); - S11_WEIGHTS_0->SetBinContent(62,0.0); - S11_WEIGHTS_0->SetBinContent(63,0.0); - S11_WEIGHTS_0->SetBinContent(64,0.0); - S11_WEIGHTS_0->SetBinContent(65,0.0); - S11_WEIGHTS_0->SetBinContent(66,0.0); - S11_WEIGHTS_0->SetBinContent(67,0.0); - S11_WEIGHTS_0->SetBinContent(68,0.0); - S11_WEIGHTS_0->SetBinContent(69,0.0); - S11_WEIGHTS_0->SetBinContent(70,0.0); - S11_WEIGHTS_0->SetBinContent(71,0.0); - S11_WEIGHTS_0->SetBinContent(72,0.0); - S11_WEIGHTS_0->SetBinContent(73,0.0); - S11_WEIGHTS_0->SetBinContent(74,0.0); - S11_WEIGHTS_0->SetBinContent(75,0.0); - S11_WEIGHTS_0->SetBinContent(76,0.0); - S11_WEIGHTS_0->SetBinContent(77,0.0); - S11_WEIGHTS_0->SetBinContent(78,0.0); - S11_WEIGHTS_0->SetBinContent(79,0.0); - S11_WEIGHTS_0->SetBinContent(80,0.0); - S11_WEIGHTS_0->SetBinContent(81,0.0); - S11_WEIGHTS_0->SetBinContent(82,0.0); - S11_WEIGHTS_0->SetBinContent(83,0.0); - S11_WEIGHTS_0->SetBinContent(84,0.0); - S11_WEIGHTS_0->SetBinContent(85,0.0); - S11_WEIGHTS_0->SetBinContent(86,0.0); - S11_WEIGHTS_0->SetBinContent(87,0.0); - S11_WEIGHTS_0->SetBinContent(88,0.0); - S11_WEIGHTS_0->SetBinContent(89,0.0); - S11_WEIGHTS_0->SetBinContent(90,0.0); - S11_WEIGHTS_0->SetBinContent(91,0.0); - S11_WEIGHTS_0->SetBinContent(92,0.0); - S11_WEIGHTS_0->SetBinContent(93,0.0); - S11_WEIGHTS_0->SetBinContent(94,0.0); - S11_WEIGHTS_0->SetBinContent(95,0.0); - S11_WEIGHTS_0->SetBinContent(96,0.0); - S11_WEIGHTS_0->SetBinContent(97,0.0); - S11_WEIGHTS_0->SetBinContent(98,0.0); - S11_WEIGHTS_0->SetBinContent(99,0.0); - S11_WEIGHTS_0->SetBinContent(100,0.0); - S11_WEIGHTS_0->SetBinContent(101,0.0); // overflow - S11_WEIGHTS_0->SetEntries(1000); - // Style - S11_WEIGHTS_0->SetLineColor(9); - S11_WEIGHTS_0->SetLineStyle(1); - S11_WEIGHTS_0->SetLineWidth(1); - S11_WEIGHTS_0->SetFillColor(9); - S11_WEIGHTS_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_22","mystack"); - stack->Add(S11_WEIGHTS_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#omega "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_10.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_10.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_10.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_10.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_10.py deleted file mode 100644 index c721ff6b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_10.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_10(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-1.0,1.0,101,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-0.99,-0.97,-0.95,-0.9299999999999999,-0.91,-0.89,-0.87,-0.85,-0.83,-0.81,-0.79,-0.77,-0.75,-0.73,-0.71,-0.69,-0.6699999999999999,-0.6499999999999999,-0.63,-0.61,-0.59,-0.5700000000000001,-0.55,-0.53,-0.51,-0.49,-0.47,-0.44999999999999996,-0.42999999999999994,-0.41000000000000003,-0.39,-0.37,-0.35,-0.32999999999999996,-0.30999999999999994,-0.29000000000000004,-0.27,-0.25,-0.22999999999999998,-0.20999999999999996,-0.18999999999999995,-0.16999999999999993,-0.15000000000000002,-0.13,-0.10999999999999999,-0.08999999999999997,-0.06999999999999995,-0.04999999999999993,-0.030000000000000027,-0.010000000000000009,0.010000000000000009,0.030000000000000027,0.050000000000000044,0.07000000000000006,0.09000000000000008,0.1100000000000001,0.13000000000000012,0.15000000000000013,0.16999999999999993,0.18999999999999995,0.20999999999999996,0.22999999999999998,0.25,0.27,0.29000000000000004,0.31000000000000005,0.33000000000000007,0.3500000000000001,0.3700000000000001,0.3900000000000001,0.4099999999999999,0.42999999999999994,0.44999999999999996,0.47,0.49,0.51,0.53,0.55,0.5700000000000001,0.5900000000000001,0.6100000000000001,0.6300000000000001,0.6500000000000001,0.6699999999999999,0.69,0.71,0.73,0.75,0.77,0.79,0.81,0.8300000000000001,0.8500000000000001,0.8700000000000001,0.8900000000000001,0.9100000000000001,0.9299999999999999,0.95,0.97,0.99]) - - # Creating weights for histo: y11_WEIGHTS_0 - y11_WEIGHTS_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.44783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y11_WEIGHTS_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\omega$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y11_WEIGHTS_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y11_WEIGHTS_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_10.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_10.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_10.eps') - -# Running! -if __name__ == '__main__': - selection_10() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_100.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_100.C deleted file mode 100644 index ee6cfd31..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_100.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_100() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo201","canvas_plotflow_tempo201",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S101_E_0 = new TH1F("S101_E_0","S101_E_0",50,0.0,2000.0); - // Content - S101_E_0->SetBinContent(0,0.0); // underflow - S101_E_0->SetBinContent(1,0.0); - S101_E_0->SetBinContent(2,0.0); - S101_E_0->SetBinContent(3,0.0); - S101_E_0->SetBinContent(4,0.0); - S101_E_0->SetBinContent(5,0.0); - S101_E_0->SetBinContent(6,0.0); - S101_E_0->SetBinContent(7,0.0); - S101_E_0->SetBinContent(8,0.0); - S101_E_0->SetBinContent(9,0.0); - S101_E_0->SetBinContent(10,0.0); - S101_E_0->SetBinContent(11,0.0); - S101_E_0->SetBinContent(12,0.0); - S101_E_0->SetBinContent(13,0.0); - S101_E_0->SetBinContent(14,0.0); - S101_E_0->SetBinContent(15,0.0); - S101_E_0->SetBinContent(16,0.0); - S101_E_0->SetBinContent(17,0.0); - S101_E_0->SetBinContent(18,0.0); - S101_E_0->SetBinContent(19,0.0); - S101_E_0->SetBinContent(20,0.0); - S101_E_0->SetBinContent(21,0.0); - S101_E_0->SetBinContent(22,0.0); - S101_E_0->SetBinContent(23,0.0); - S101_E_0->SetBinContent(24,0.0); - S101_E_0->SetBinContent(25,0.0); - S101_E_0->SetBinContent(26,0.0); - S101_E_0->SetBinContent(27,0.0); - S101_E_0->SetBinContent(28,0.0); - S101_E_0->SetBinContent(29,0.0); - S101_E_0->SetBinContent(30,0.0); - S101_E_0->SetBinContent(31,0.0); - S101_E_0->SetBinContent(32,0.0); - S101_E_0->SetBinContent(33,0.0); - S101_E_0->SetBinContent(34,0.0); - S101_E_0->SetBinContent(35,0.0); - S101_E_0->SetBinContent(36,0.0); - S101_E_0->SetBinContent(37,0.0); - S101_E_0->SetBinContent(38,0.0); - S101_E_0->SetBinContent(39,0.0); - S101_E_0->SetBinContent(40,0.0); - S101_E_0->SetBinContent(41,0.0); - S101_E_0->SetBinContent(42,0.0); - S101_E_0->SetBinContent(43,0.0); - S101_E_0->SetBinContent(44,0.0); - S101_E_0->SetBinContent(45,0.0); - S101_E_0->SetBinContent(46,0.0); - S101_E_0->SetBinContent(47,0.0); - S101_E_0->SetBinContent(48,0.0); - S101_E_0->SetBinContent(49,0.0); - S101_E_0->SetBinContent(50,0.0); - S101_E_0->SetBinContent(51,0.0); // overflow - S101_E_0->SetEntries(0); - // Style - S101_E_0->SetLineColor(9); - S101_E_0->SetLineStyle(1); - S101_E_0->SetLineWidth(1); - S101_E_0->SetFillColor(9); - S101_E_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_202","mystack"); - stack->Add(S101_E_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E [ b_{2} ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_100.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_100.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_100.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_100.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_100.py deleted file mode 100644 index 347dda80..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_100.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_100(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y101_E_0 - y101_E_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y101_E_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E$ $[ b_{2} ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y101_E_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y101_E_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_100.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_100.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_100.eps') - -# Running! -if __name__ == '__main__': - selection_100() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_101.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_101.C deleted file mode 100644 index 41459a10..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_101.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_101() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo203","canvas_plotflow_tempo203",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S102_MT_MET_0 = new TH1F("S102_MT_MET_0","S102_MT_MET_0",50,0.0,1000.0); - // Content - S102_MT_MET_0->SetBinContent(0,0.0); // underflow - S102_MT_MET_0->SetBinContent(1,0.0); - S102_MT_MET_0->SetBinContent(2,0.0); - S102_MT_MET_0->SetBinContent(3,0.0); - S102_MT_MET_0->SetBinContent(4,0.0); - S102_MT_MET_0->SetBinContent(5,0.0); - S102_MT_MET_0->SetBinContent(6,0.0); - S102_MT_MET_0->SetBinContent(7,0.0); - S102_MT_MET_0->SetBinContent(8,0.0); - S102_MT_MET_0->SetBinContent(9,0.0); - S102_MT_MET_0->SetBinContent(10,0.0); - S102_MT_MET_0->SetBinContent(11,0.0); - S102_MT_MET_0->SetBinContent(12,0.0); - S102_MT_MET_0->SetBinContent(13,0.0); - S102_MT_MET_0->SetBinContent(14,0.0); - S102_MT_MET_0->SetBinContent(15,0.0); - S102_MT_MET_0->SetBinContent(16,0.0); - S102_MT_MET_0->SetBinContent(17,0.0); - S102_MT_MET_0->SetBinContent(18,0.0); - S102_MT_MET_0->SetBinContent(19,0.0); - S102_MT_MET_0->SetBinContent(20,0.0); - S102_MT_MET_0->SetBinContent(21,0.0); - S102_MT_MET_0->SetBinContent(22,0.0); - S102_MT_MET_0->SetBinContent(23,0.0); - S102_MT_MET_0->SetBinContent(24,0.0); - S102_MT_MET_0->SetBinContent(25,0.0); - S102_MT_MET_0->SetBinContent(26,0.0); - S102_MT_MET_0->SetBinContent(27,0.0); - S102_MT_MET_0->SetBinContent(28,0.0); - S102_MT_MET_0->SetBinContent(29,0.0); - S102_MT_MET_0->SetBinContent(30,0.0); - S102_MT_MET_0->SetBinContent(31,0.0); - S102_MT_MET_0->SetBinContent(32,0.0); - S102_MT_MET_0->SetBinContent(33,0.0); - S102_MT_MET_0->SetBinContent(34,0.0); - S102_MT_MET_0->SetBinContent(35,0.0); - S102_MT_MET_0->SetBinContent(36,0.0); - S102_MT_MET_0->SetBinContent(37,0.0); - S102_MT_MET_0->SetBinContent(38,0.0); - S102_MT_MET_0->SetBinContent(39,0.0); - S102_MT_MET_0->SetBinContent(40,0.0); - S102_MT_MET_0->SetBinContent(41,0.0); - S102_MT_MET_0->SetBinContent(42,0.0); - S102_MT_MET_0->SetBinContent(43,0.0); - S102_MT_MET_0->SetBinContent(44,0.0); - S102_MT_MET_0->SetBinContent(45,0.0); - S102_MT_MET_0->SetBinContent(46,0.0); - S102_MT_MET_0->SetBinContent(47,0.0); - S102_MT_MET_0->SetBinContent(48,0.0); - S102_MT_MET_0->SetBinContent(49,0.0); - S102_MT_MET_0->SetBinContent(50,0.0); - S102_MT_MET_0->SetBinContent(51,0.0); // overflow - S102_MT_MET_0->SetEntries(0); - // Style - S102_MT_MET_0->SetLineColor(9); - S102_MT_MET_0->SetLineStyle(1); - S102_MT_MET_0->SetLineWidth(1); - S102_MT_MET_0->SetFillColor(9); - S102_MT_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_204","mystack"); - stack->Add(S102_MT_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ b_{2} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_101.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_101.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_101.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_101.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_101.py deleted file mode 100644 index 1bfb8474..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_101.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_101(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y102_MT_MET_0 - y102_MT_MET_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y102_MT_MET_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ b_{2} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y102_MT_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y102_MT_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_101.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_101.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_101.eps') - -# Running! -if __name__ == '__main__': - selection_101() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_102.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_102.C deleted file mode 100644 index 27fcd560..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_102.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_102() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo205","canvas_plotflow_tempo205",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S103_M_0 = new TH1F("S103_M_0","S103_M_0",50,0.0,2000.0); - // Content - S103_M_0->SetBinContent(0,0.0); // underflow - S103_M_0->SetBinContent(1,0.0); - S103_M_0->SetBinContent(2,0.0); - S103_M_0->SetBinContent(3,0.0); - S103_M_0->SetBinContent(4,0.0); - S103_M_0->SetBinContent(5,0.0); - S103_M_0->SetBinContent(6,0.0); - S103_M_0->SetBinContent(7,0.0); - S103_M_0->SetBinContent(8,0.0); - S103_M_0->SetBinContent(9,0.0); - S103_M_0->SetBinContent(10,0.0); - S103_M_0->SetBinContent(11,0.0); - S103_M_0->SetBinContent(12,0.0); - S103_M_0->SetBinContent(13,0.0); - S103_M_0->SetBinContent(14,0.0); - S103_M_0->SetBinContent(15,0.0); - S103_M_0->SetBinContent(16,0.0); - S103_M_0->SetBinContent(17,0.0); - S103_M_0->SetBinContent(18,0.0); - S103_M_0->SetBinContent(19,0.0); - S103_M_0->SetBinContent(20,0.0); - S103_M_0->SetBinContent(21,0.0); - S103_M_0->SetBinContent(22,0.0); - S103_M_0->SetBinContent(23,0.0); - S103_M_0->SetBinContent(24,0.0); - S103_M_0->SetBinContent(25,0.0); - S103_M_0->SetBinContent(26,0.0); - S103_M_0->SetBinContent(27,0.0); - S103_M_0->SetBinContent(28,0.0); - S103_M_0->SetBinContent(29,0.0); - S103_M_0->SetBinContent(30,0.0); - S103_M_0->SetBinContent(31,0.0); - S103_M_0->SetBinContent(32,0.0); - S103_M_0->SetBinContent(33,0.0); - S103_M_0->SetBinContent(34,0.0); - S103_M_0->SetBinContent(35,0.0); - S103_M_0->SetBinContent(36,0.0); - S103_M_0->SetBinContent(37,0.0); - S103_M_0->SetBinContent(38,0.0); - S103_M_0->SetBinContent(39,0.0); - S103_M_0->SetBinContent(40,0.0); - S103_M_0->SetBinContent(41,0.0); - S103_M_0->SetBinContent(42,0.0); - S103_M_0->SetBinContent(43,0.0); - S103_M_0->SetBinContent(44,0.0); - S103_M_0->SetBinContent(45,0.0); - S103_M_0->SetBinContent(46,0.0); - S103_M_0->SetBinContent(47,0.0); - S103_M_0->SetBinContent(48,0.0); - S103_M_0->SetBinContent(49,0.0); - S103_M_0->SetBinContent(50,0.0); - S103_M_0->SetBinContent(51,0.0); // overflow - S103_M_0->SetEntries(0); - // Style - S103_M_0->SetLineColor(9); - S103_M_0->SetLineStyle(1); - S103_M_0->SetLineWidth(1); - S103_M_0->SetFillColor(9); - S103_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_206","mystack"); - stack->Add(S103_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ b_{1} b_{2} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_102.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_102.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_102.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_102.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_102.py deleted file mode 100644 index 02873c83..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_102.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_102(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y103_M_0 - y103_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y103_M_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ b_{1} b_{2} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y103_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y103_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_102.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_102.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_102.eps') - -# Running! -if __name__ == '__main__': - selection_102() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_103.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_103.C deleted file mode 100644 index b65f0bab..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_103.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_103() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo207","canvas_plotflow_tempo207",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S104_PT_0 = new TH1F("S104_PT_0","S104_PT_0",50,0.0,2000.0); - // Content - S104_PT_0->SetBinContent(0,0.0); // underflow - S104_PT_0->SetBinContent(1,0.0); - S104_PT_0->SetBinContent(2,0.0); - S104_PT_0->SetBinContent(3,0.0); - S104_PT_0->SetBinContent(4,0.0); - S104_PT_0->SetBinContent(5,0.0); - S104_PT_0->SetBinContent(6,0.0); - S104_PT_0->SetBinContent(7,0.0); - S104_PT_0->SetBinContent(8,0.0); - S104_PT_0->SetBinContent(9,0.0); - S104_PT_0->SetBinContent(10,0.0); - S104_PT_0->SetBinContent(11,0.0); - S104_PT_0->SetBinContent(12,0.0); - S104_PT_0->SetBinContent(13,0.0); - S104_PT_0->SetBinContent(14,0.0); - S104_PT_0->SetBinContent(15,0.0); - S104_PT_0->SetBinContent(16,0.0); - S104_PT_0->SetBinContent(17,0.0); - S104_PT_0->SetBinContent(18,0.0); - S104_PT_0->SetBinContent(19,0.0); - S104_PT_0->SetBinContent(20,0.0); - S104_PT_0->SetBinContent(21,0.0); - S104_PT_0->SetBinContent(22,0.0); - S104_PT_0->SetBinContent(23,0.0); - S104_PT_0->SetBinContent(24,0.0); - S104_PT_0->SetBinContent(25,0.0); - S104_PT_0->SetBinContent(26,0.0); - S104_PT_0->SetBinContent(27,0.0); - S104_PT_0->SetBinContent(28,0.0); - S104_PT_0->SetBinContent(29,0.0); - S104_PT_0->SetBinContent(30,0.0); - S104_PT_0->SetBinContent(31,0.0); - S104_PT_0->SetBinContent(32,0.0); - S104_PT_0->SetBinContent(33,0.0); - S104_PT_0->SetBinContent(34,0.0); - S104_PT_0->SetBinContent(35,0.0); - S104_PT_0->SetBinContent(36,0.0); - S104_PT_0->SetBinContent(37,0.0); - S104_PT_0->SetBinContent(38,0.0); - S104_PT_0->SetBinContent(39,0.0); - S104_PT_0->SetBinContent(40,0.0); - S104_PT_0->SetBinContent(41,0.0); - S104_PT_0->SetBinContent(42,0.0); - S104_PT_0->SetBinContent(43,0.0); - S104_PT_0->SetBinContent(44,0.0); - S104_PT_0->SetBinContent(45,0.0); - S104_PT_0->SetBinContent(46,0.0); - S104_PT_0->SetBinContent(47,0.0); - S104_PT_0->SetBinContent(48,0.0); - S104_PT_0->SetBinContent(49,0.0); - S104_PT_0->SetBinContent(50,0.0); - S104_PT_0->SetBinContent(51,0.0); // overflow - S104_PT_0->SetEntries(0); - // Style - S104_PT_0->SetLineColor(9); - S104_PT_0->SetLineStyle(1); - S104_PT_0->SetLineWidth(1); - S104_PT_0->SetFillColor(9); - S104_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_208","mystack"); - stack->Add(S104_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ b_{1} b_{2} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_103.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_103.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_103.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_103.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_103.py deleted file mode 100644 index 4b27b02a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_103.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_103(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y104_PT_0 - y104_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y104_PT_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ b_{1} b_{2} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y104_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y104_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_103.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_103.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_103.eps') - -# Running! -if __name__ == '__main__': - selection_103() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_104.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_104.C deleted file mode 100644 index 0d98508a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_104.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_104() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo209","canvas_plotflow_tempo209",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S105_DELTAR_0 = new TH1F("S105_DELTAR_0","S105_DELTAR_0",50,0.0,10.0); - // Content - S105_DELTAR_0->SetBinContent(0,0.0); // underflow - S105_DELTAR_0->SetBinContent(1,0.0); - S105_DELTAR_0->SetBinContent(2,0.0); - S105_DELTAR_0->SetBinContent(3,0.0); - S105_DELTAR_0->SetBinContent(4,0.0); - S105_DELTAR_0->SetBinContent(5,0.0); - S105_DELTAR_0->SetBinContent(6,0.0); - S105_DELTAR_0->SetBinContent(7,0.0); - S105_DELTAR_0->SetBinContent(8,0.0); - S105_DELTAR_0->SetBinContent(9,0.0); - S105_DELTAR_0->SetBinContent(10,0.0); - S105_DELTAR_0->SetBinContent(11,0.0); - S105_DELTAR_0->SetBinContent(12,0.0); - S105_DELTAR_0->SetBinContent(13,0.0); - S105_DELTAR_0->SetBinContent(14,0.0); - S105_DELTAR_0->SetBinContent(15,0.0); - S105_DELTAR_0->SetBinContent(16,0.0); - S105_DELTAR_0->SetBinContent(17,0.0); - S105_DELTAR_0->SetBinContent(18,0.0); - S105_DELTAR_0->SetBinContent(19,0.0); - S105_DELTAR_0->SetBinContent(20,0.0); - S105_DELTAR_0->SetBinContent(21,0.0); - S105_DELTAR_0->SetBinContent(22,0.0); - S105_DELTAR_0->SetBinContent(23,0.0); - S105_DELTAR_0->SetBinContent(24,0.0); - S105_DELTAR_0->SetBinContent(25,0.0); - S105_DELTAR_0->SetBinContent(26,0.0); - S105_DELTAR_0->SetBinContent(27,0.0); - S105_DELTAR_0->SetBinContent(28,0.0); - S105_DELTAR_0->SetBinContent(29,0.0); - S105_DELTAR_0->SetBinContent(30,0.0); - S105_DELTAR_0->SetBinContent(31,0.0); - S105_DELTAR_0->SetBinContent(32,0.0); - S105_DELTAR_0->SetBinContent(33,0.0); - S105_DELTAR_0->SetBinContent(34,0.0); - S105_DELTAR_0->SetBinContent(35,0.0); - S105_DELTAR_0->SetBinContent(36,0.0); - S105_DELTAR_0->SetBinContent(37,0.0); - S105_DELTAR_0->SetBinContent(38,0.0); - S105_DELTAR_0->SetBinContent(39,0.0); - S105_DELTAR_0->SetBinContent(40,0.0); - S105_DELTAR_0->SetBinContent(41,0.0); - S105_DELTAR_0->SetBinContent(42,0.0); - S105_DELTAR_0->SetBinContent(43,0.0); - S105_DELTAR_0->SetBinContent(44,0.0); - S105_DELTAR_0->SetBinContent(45,0.0); - S105_DELTAR_0->SetBinContent(46,0.0); - S105_DELTAR_0->SetBinContent(47,0.0); - S105_DELTAR_0->SetBinContent(48,0.0); - S105_DELTAR_0->SetBinContent(49,0.0); - S105_DELTAR_0->SetBinContent(50,0.0); - S105_DELTAR_0->SetBinContent(51,0.0); // overflow - S105_DELTAR_0->SetEntries(0); - // Style - S105_DELTAR_0->SetLineColor(9); - S105_DELTAR_0->SetLineStyle(1); - S105_DELTAR_0->SetLineWidth(1); - S105_DELTAR_0->SetFillColor(9); - S105_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_210","mystack"); - stack->Add(S105_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ b_{1}, b_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_104.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_104.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_104.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_104.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_104.py deleted file mode 100644 index a24efa81..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_104.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_104(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y105_DELTAR_0 - y105_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y105_DELTAR_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ b_{1}, b_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y105_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y105_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_104.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_104.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_104.eps') - -# Running! -if __name__ == '__main__': - selection_104() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_105.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_105.C deleted file mode 100644 index 5fc62e0e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_105.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_105() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo211","canvas_plotflow_tempo211",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S106_DPHI_0_PI_0 = new TH1F("S106_DPHI_0_PI_0","S106_DPHI_0_PI_0",32,0.0,3.2); - // Content - S106_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow - S106_DPHI_0_PI_0->SetBinContent(1,0.0); - S106_DPHI_0_PI_0->SetBinContent(2,0.0); - S106_DPHI_0_PI_0->SetBinContent(3,0.0); - S106_DPHI_0_PI_0->SetBinContent(4,0.0); - S106_DPHI_0_PI_0->SetBinContent(5,0.0); - S106_DPHI_0_PI_0->SetBinContent(6,0.0); - S106_DPHI_0_PI_0->SetBinContent(7,0.0); - S106_DPHI_0_PI_0->SetBinContent(8,0.0); - S106_DPHI_0_PI_0->SetBinContent(9,0.0); - S106_DPHI_0_PI_0->SetBinContent(10,0.0); - S106_DPHI_0_PI_0->SetBinContent(11,0.0); - S106_DPHI_0_PI_0->SetBinContent(12,0.0); - S106_DPHI_0_PI_0->SetBinContent(13,0.0); - S106_DPHI_0_PI_0->SetBinContent(14,0.0); - S106_DPHI_0_PI_0->SetBinContent(15,0.0); - S106_DPHI_0_PI_0->SetBinContent(16,0.0); - S106_DPHI_0_PI_0->SetBinContent(17,0.0); - S106_DPHI_0_PI_0->SetBinContent(18,0.0); - S106_DPHI_0_PI_0->SetBinContent(19,0.0); - S106_DPHI_0_PI_0->SetBinContent(20,0.0); - S106_DPHI_0_PI_0->SetBinContent(21,0.0); - S106_DPHI_0_PI_0->SetBinContent(22,0.0); - S106_DPHI_0_PI_0->SetBinContent(23,0.0); - S106_DPHI_0_PI_0->SetBinContent(24,0.0); - S106_DPHI_0_PI_0->SetBinContent(25,0.0); - S106_DPHI_0_PI_0->SetBinContent(26,0.0); - S106_DPHI_0_PI_0->SetBinContent(27,0.0); - S106_DPHI_0_PI_0->SetBinContent(28,0.0); - S106_DPHI_0_PI_0->SetBinContent(29,0.0); - S106_DPHI_0_PI_0->SetBinContent(30,0.0); - S106_DPHI_0_PI_0->SetBinContent(31,0.0); - S106_DPHI_0_PI_0->SetBinContent(32,0.0); - S106_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow - S106_DPHI_0_PI_0->SetEntries(0); - // Style - S106_DPHI_0_PI_0->SetLineColor(9); - S106_DPHI_0_PI_0->SetLineStyle(1); - S106_DPHI_0_PI_0->SetLineWidth(1); - S106_DPHI_0_PI_0->SetFillColor(9); - S106_DPHI_0_PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_212","mystack"); - stack->Add(S106_DPHI_0_PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ b_{1}, b_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_105.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_105.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_105.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_105.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_105.py deleted file mode 100644 index 915054ce..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_105.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_105(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) - - # Creating weights for histo: y106_DPHI_0_PI_0 - y106_DPHI_0_PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y106_DPHI_0_PI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ b_{1}, b_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y106_DPHI_0_PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y106_DPHI_0_PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_105.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_105.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_105.eps') - -# Running! -if __name__ == '__main__': - selection_105() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_106.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_106.C deleted file mode 100644 index 0a393881..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_106.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_106() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo213","canvas_plotflow_tempo213",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S107_DPHI_0_2PI_0 = new TH1F("S107_DPHI_0_2PI_0","S107_DPHI_0_2PI_0",32,0.0,6.4); - // Content - S107_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow - S107_DPHI_0_2PI_0->SetBinContent(1,0.0); - S107_DPHI_0_2PI_0->SetBinContent(2,0.0); - S107_DPHI_0_2PI_0->SetBinContent(3,0.0); - S107_DPHI_0_2PI_0->SetBinContent(4,0.0); - S107_DPHI_0_2PI_0->SetBinContent(5,0.0); - S107_DPHI_0_2PI_0->SetBinContent(6,0.0); - S107_DPHI_0_2PI_0->SetBinContent(7,0.0); - S107_DPHI_0_2PI_0->SetBinContent(8,0.0); - S107_DPHI_0_2PI_0->SetBinContent(9,0.0); - S107_DPHI_0_2PI_0->SetBinContent(10,0.0); - S107_DPHI_0_2PI_0->SetBinContent(11,0.0); - S107_DPHI_0_2PI_0->SetBinContent(12,0.0); - S107_DPHI_0_2PI_0->SetBinContent(13,0.0); - S107_DPHI_0_2PI_0->SetBinContent(14,0.0); - S107_DPHI_0_2PI_0->SetBinContent(15,0.0); - S107_DPHI_0_2PI_0->SetBinContent(16,0.0); - S107_DPHI_0_2PI_0->SetBinContent(17,0.0); - S107_DPHI_0_2PI_0->SetBinContent(18,0.0); - S107_DPHI_0_2PI_0->SetBinContent(19,0.0); - S107_DPHI_0_2PI_0->SetBinContent(20,0.0); - S107_DPHI_0_2PI_0->SetBinContent(21,0.0); - S107_DPHI_0_2PI_0->SetBinContent(22,0.0); - S107_DPHI_0_2PI_0->SetBinContent(23,0.0); - S107_DPHI_0_2PI_0->SetBinContent(24,0.0); - S107_DPHI_0_2PI_0->SetBinContent(25,0.0); - S107_DPHI_0_2PI_0->SetBinContent(26,0.0); - S107_DPHI_0_2PI_0->SetBinContent(27,0.0); - S107_DPHI_0_2PI_0->SetBinContent(28,0.0); - S107_DPHI_0_2PI_0->SetBinContent(29,0.0); - S107_DPHI_0_2PI_0->SetBinContent(30,0.0); - S107_DPHI_0_2PI_0->SetBinContent(31,0.0); - S107_DPHI_0_2PI_0->SetBinContent(32,0.0); - S107_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow - S107_DPHI_0_2PI_0->SetEntries(0); - // Style - S107_DPHI_0_2PI_0->SetLineColor(9); - S107_DPHI_0_2PI_0->SetLineStyle(1); - S107_DPHI_0_2PI_0->SetLineWidth(1); - S107_DPHI_0_2PI_0->SetFillColor(9); - S107_DPHI_0_2PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_214","mystack"); - stack->Add(S107_DPHI_0_2PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ b_{1}, b_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_106.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_106.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_106.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_106.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_106.py deleted file mode 100644 index 7f346cad..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_106.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_106(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) - - # Creating weights for histo: y107_DPHI_0_2PI_0 - y107_DPHI_0_2PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y107_DPHI_0_2PI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ b_{1}, b_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y107_DPHI_0_2PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y107_DPHI_0_2PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_106.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_106.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_106.eps') - -# Running! -if __name__ == '__main__': - selection_106() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_107.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_107.C deleted file mode 100644 index 14978f6e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_107.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_107() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo215","canvas_plotflow_tempo215",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S108_PT_0 = new TH1F("S108_PT_0","S108_PT_0",50,0.0,1000.0); - // Content - S108_PT_0->SetBinContent(0,0.0); // underflow - S108_PT_0->SetBinContent(1,0.0); - S108_PT_0->SetBinContent(2,11.46229); - S108_PT_0->SetBinContent(3,8.54265); - S108_PT_0->SetBinContent(4,5.499427); - S108_PT_0->SetBinContent(5,2.610683); - S108_PT_0->SetBinContent(6,1.266722); - S108_PT_0->SetBinContent(7,0.6951523); - S108_PT_0->SetBinContent(8,0.4479871); - S108_PT_0->SetBinContent(9,0.1235826); - S108_PT_0->SetBinContent(10,0.1235826); - S108_PT_0->SetBinContent(11,0.06179132); - S108_PT_0->SetBinContent(12,0.01544783); - S108_PT_0->SetBinContent(13,0.0); - S108_PT_0->SetBinContent(14,0.01544783); - S108_PT_0->SetBinContent(15,0.01544783); - S108_PT_0->SetBinContent(16,0.01544783); - S108_PT_0->SetBinContent(17,0.0); - S108_PT_0->SetBinContent(18,0.0); - S108_PT_0->SetBinContent(19,0.0); - S108_PT_0->SetBinContent(20,0.0); - S108_PT_0->SetBinContent(21,0.0); - S108_PT_0->SetBinContent(22,0.0); - S108_PT_0->SetBinContent(23,0.0); - S108_PT_0->SetBinContent(24,0.0); - S108_PT_0->SetBinContent(25,0.0); - S108_PT_0->SetBinContent(26,0.0); - S108_PT_0->SetBinContent(27,0.0); - S108_PT_0->SetBinContent(28,0.0); - S108_PT_0->SetBinContent(29,0.0); - S108_PT_0->SetBinContent(30,0.0); - S108_PT_0->SetBinContent(31,0.0); - S108_PT_0->SetBinContent(32,0.0); - S108_PT_0->SetBinContent(33,0.0); - S108_PT_0->SetBinContent(34,0.0); - S108_PT_0->SetBinContent(35,0.0); - S108_PT_0->SetBinContent(36,0.0); - S108_PT_0->SetBinContent(37,0.0); - S108_PT_0->SetBinContent(38,0.0); - S108_PT_0->SetBinContent(39,0.0); - S108_PT_0->SetBinContent(40,0.0); - S108_PT_0->SetBinContent(41,0.0); - S108_PT_0->SetBinContent(42,0.0); - S108_PT_0->SetBinContent(43,0.0); - S108_PT_0->SetBinContent(44,0.0); - S108_PT_0->SetBinContent(45,0.0); - S108_PT_0->SetBinContent(46,0.0); - S108_PT_0->SetBinContent(47,0.0); - S108_PT_0->SetBinContent(48,0.0); - S108_PT_0->SetBinContent(49,0.0); - S108_PT_0->SetBinContent(50,0.0); - S108_PT_0->SetBinContent(51,0.0); // overflow - S108_PT_0->SetEntries(2000); - // Style - S108_PT_0->SetLineColor(9); - S108_PT_0->SetLineStyle(1); - S108_PT_0->SetLineWidth(1); - S108_PT_0->SetFillColor(9); - S108_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_216","mystack"); - stack->Add(S108_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ j ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_107.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_107.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_107.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_107.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_107.py deleted file mode 100644 index 04ab2b7a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_107.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_107(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y108_PT_0 - y108_PT_0_weights = numpy.array([0.0,11.46229,8.54265,5.499427,2.610683,1.266722,0.6951523,0.4479871,0.1235826,0.1235826,0.06179132,0.01544783,0.0,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y108_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ j ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y108_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y108_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_107.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_107.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_107.eps') - -# Running! -if __name__ == '__main__': - selection_107() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_108.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_108.C deleted file mode 100644 index 851aff79..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_108.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_108() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo217","canvas_plotflow_tempo217",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S109_ETA_0 = new TH1F("S109_ETA_0","S109_ETA_0",50,-8.0,8.0); - // Content - S109_ETA_0->SetBinContent(0,0.0); // underflow - S109_ETA_0->SetBinContent(1,0.0); - S109_ETA_0->SetBinContent(2,0.0); - S109_ETA_0->SetBinContent(3,0.0); - S109_ETA_0->SetBinContent(4,0.0); - S109_ETA_0->SetBinContent(5,0.0); - S109_ETA_0->SetBinContent(6,0.0); - S109_ETA_0->SetBinContent(7,0.0); - S109_ETA_0->SetBinContent(8,0.0); - S109_ETA_0->SetBinContent(9,0.0); - S109_ETA_0->SetBinContent(10,0.0); - S109_ETA_0->SetBinContent(11,0.0); - S109_ETA_0->SetBinContent(12,0.0); - S109_ETA_0->SetBinContent(13,0.0); - S109_ETA_0->SetBinContent(14,0.0); - S109_ETA_0->SetBinContent(15,0.06179132); - S109_ETA_0->SetBinContent(16,0.1235826); - S109_ETA_0->SetBinContent(17,0.1544783); - S109_ETA_0->SetBinContent(18,0.4788827); - S109_ETA_0->SetBinContent(19,0.8496306); - S109_ETA_0->SetBinContent(20,1.112244); - S109_ETA_0->SetBinContent(21,1.745605); - S109_ETA_0->SetBinContent(22,1.884635); - S109_ETA_0->SetBinContent(23,2.873296); - S109_ETA_0->SetBinContent(24,2.888744); - S109_ETA_0->SetBinContent(25,3.166805); - S109_ETA_0->SetBinContent(26,3.336731); - S109_ETA_0->SetBinContent(27,2.657027); - S109_ETA_0->SetBinContent(28,2.425309); - S109_ETA_0->SetBinContent(29,2.085457); - S109_ETA_0->SetBinContent(30,1.85374); - S109_ETA_0->SetBinContent(31,1.390305); - S109_ETA_0->SetBinContent(32,0.818735); - S109_ETA_0->SetBinContent(33,0.4325392); - S109_ETA_0->SetBinContent(34,0.4479871); - S109_ETA_0->SetBinContent(35,0.09268698); - S109_ETA_0->SetBinContent(36,0.01544783); - S109_ETA_0->SetBinContent(37,0.0); - S109_ETA_0->SetBinContent(38,0.0); - S109_ETA_0->SetBinContent(39,0.0); - S109_ETA_0->SetBinContent(40,0.0); - S109_ETA_0->SetBinContent(41,0.0); - S109_ETA_0->SetBinContent(42,0.0); - S109_ETA_0->SetBinContent(43,0.0); - S109_ETA_0->SetBinContent(44,0.0); - S109_ETA_0->SetBinContent(45,0.0); - S109_ETA_0->SetBinContent(46,0.0); - S109_ETA_0->SetBinContent(47,0.0); - S109_ETA_0->SetBinContent(48,0.0); - S109_ETA_0->SetBinContent(49,0.0); - S109_ETA_0->SetBinContent(50,0.0); - S109_ETA_0->SetBinContent(51,0.0); // overflow - S109_ETA_0->SetEntries(2000); - // Style - S109_ETA_0->SetLineColor(9); - S109_ETA_0->SetLineStyle(1); - S109_ETA_0->SetLineWidth(1); - S109_ETA_0->SetFillColor(9); - S109_ETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_218","mystack"); - stack->Add(S109_ETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#eta [ j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_108.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_108.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_108.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_108.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_108.py deleted file mode 100644 index cd7c230e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_108.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_108(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y109_ETA_0 - y109_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06179132,0.1235826,0.1544783,0.4788827,0.8496306,1.112244,1.745605,1.884635,2.873296,2.888744,3.166805,3.336731,2.657027,2.425309,2.085457,1.85374,1.390305,0.818735,0.4325392,0.4479871,0.09268698,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y109_ETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\eta$ $[ j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y109_ETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y109_ETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_108.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_108.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_108.eps') - -# Running! -if __name__ == '__main__': - selection_108() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_109.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_109.C deleted file mode 100644 index 16301219..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_109.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_109() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo219","canvas_plotflow_tempo219",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S110_ABSETA_0 = new TH1F("S110_ABSETA_0","S110_ABSETA_0",50,0.0,8.0); - // Content - S110_ABSETA_0->SetBinContent(0,0.0); // underflow - S110_ABSETA_0->SetBinContent(1,3.27494); - S110_ABSETA_0->SetBinContent(2,3.228596); - S110_ABSETA_0->SetBinContent(3,2.826953); - S110_ABSETA_0->SetBinContent(4,2.718818); - S110_ABSETA_0->SetBinContent(5,2.734266); - S110_ABSETA_0->SetBinContent(6,2.56434); - S110_ABSETA_0->SetBinContent(7,1.915531); - S110_ABSETA_0->SetBinContent(8,2.054561); - S110_ABSETA_0->SetBinContent(9,1.930979); - S110_ABSETA_0->SetBinContent(10,1.668366); - S110_ABSETA_0->SetBinContent(11,1.328513); - S110_ABSETA_0->SetBinContent(12,1.174035); - S110_ABSETA_0->SetBinContent(13,1.019557); - S110_ABSETA_0->SetBinContent(14,0.6488089); - S110_ABSETA_0->SetBinContent(15,0.5715697); - S110_ABSETA_0->SetBinContent(16,0.3398523); - S110_ABSETA_0->SetBinContent(17,0.3553001); - S110_ABSETA_0->SetBinContent(18,0.2471653); - S110_ABSETA_0->SetBinContent(19,0.1699261); - S110_ABSETA_0->SetBinContent(20,0.04634349); - S110_ABSETA_0->SetBinContent(21,0.06179132); - S110_ABSETA_0->SetBinContent(22,0.01544783); - S110_ABSETA_0->SetBinContent(23,0.0); - S110_ABSETA_0->SetBinContent(24,0.0); - S110_ABSETA_0->SetBinContent(25,0.0); - S110_ABSETA_0->SetBinContent(26,0.0); - S110_ABSETA_0->SetBinContent(27,0.0); - S110_ABSETA_0->SetBinContent(28,0.0); - S110_ABSETA_0->SetBinContent(29,0.0); - S110_ABSETA_0->SetBinContent(30,0.0); - S110_ABSETA_0->SetBinContent(31,0.0); - S110_ABSETA_0->SetBinContent(32,0.0); - S110_ABSETA_0->SetBinContent(33,0.0); - S110_ABSETA_0->SetBinContent(34,0.0); - S110_ABSETA_0->SetBinContent(35,0.0); - S110_ABSETA_0->SetBinContent(36,0.0); - S110_ABSETA_0->SetBinContent(37,0.0); - S110_ABSETA_0->SetBinContent(38,0.0); - S110_ABSETA_0->SetBinContent(39,0.0); - S110_ABSETA_0->SetBinContent(40,0.0); - S110_ABSETA_0->SetBinContent(41,0.0); - S110_ABSETA_0->SetBinContent(42,0.0); - S110_ABSETA_0->SetBinContent(43,0.0); - S110_ABSETA_0->SetBinContent(44,0.0); - S110_ABSETA_0->SetBinContent(45,0.0); - S110_ABSETA_0->SetBinContent(46,0.0); - S110_ABSETA_0->SetBinContent(47,0.0); - S110_ABSETA_0->SetBinContent(48,0.0); - S110_ABSETA_0->SetBinContent(49,0.0); - S110_ABSETA_0->SetBinContent(50,0.0); - S110_ABSETA_0->SetBinContent(51,0.0); // overflow - S110_ABSETA_0->SetEntries(2000); - // Style - S110_ABSETA_0->SetLineColor(9); - S110_ABSETA_0->SetLineStyle(1); - S110_ABSETA_0->SetLineWidth(1); - S110_ABSETA_0->SetFillColor(9); - S110_ABSETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_220","mystack"); - stack->Add(S110_ABSETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("|#eta| [ j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_109.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_109.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_109.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_109.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_109.py deleted file mode 100644 index cb121cf2..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_109.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_109(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.08,0.24,0.4,0.56,0.72,0.88,1.04,1.2,1.36,1.52,1.68,1.84,2.0,2.16,2.32,2.48,2.64,2.8000000000000003,2.96,3.12,3.2800000000000002,3.44,3.6,3.7600000000000002,3.92,4.08,4.24,4.4,4.5600000000000005,4.72,4.88,5.04,5.2,5.36,5.5200000000000005,5.68,5.84,6.0,6.16,6.32,6.48,6.640000000000001,6.8,6.96,7.12,7.28,7.44,7.6000000000000005,7.76,7.92]) - - # Creating weights for histo: y110_ABSETA_0 - y110_ABSETA_0_weights = numpy.array([3.27494,3.228596,2.826953,2.718818,2.734266,2.56434,1.915531,2.054561,1.930979,1.668366,1.328513,1.174035,1.019557,0.6488089,0.5715697,0.3398523,0.3553001,0.2471653,0.1699261,0.04634349,0.06179132,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y110_ABSETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$|\eta|$ $[ j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y110_ABSETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y110_ABSETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_109.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_109.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_109.eps') - -# Running! -if __name__ == '__main__': - selection_109() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_11.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_11.C deleted file mode 100644 index 584fbcb3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_11.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_11() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo23","canvas_plotflow_tempo23",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S12_PT_0 = new TH1F("S12_PT_0","S12_PT_0",50,0.0,1000.0); - // Content - S12_PT_0->SetBinContent(0,0.0); // underflow - S12_PT_0->SetBinContent(1,1.158587); - S12_PT_0->SetBinContent(2,2.657027); - S12_PT_0->SetBinContent(3,1.869187); - S12_PT_0->SetBinContent(4,1.004109); - S12_PT_0->SetBinContent(5,0.5252262); - S12_PT_0->SetBinContent(6,0.2471653); - S12_PT_0->SetBinContent(7,0.1235826); - S12_PT_0->SetBinContent(8,0.06179132); - S12_PT_0->SetBinContent(9,0.04634349); - S12_PT_0->SetBinContent(10,0.07723915); - S12_PT_0->SetBinContent(11,0.0); - S12_PT_0->SetBinContent(12,0.0); - S12_PT_0->SetBinContent(13,0.0); - S12_PT_0->SetBinContent(14,0.01544783); - S12_PT_0->SetBinContent(15,0.01544783); - S12_PT_0->SetBinContent(16,0.0); - S12_PT_0->SetBinContent(17,0.01544783); - S12_PT_0->SetBinContent(18,0.0); - S12_PT_0->SetBinContent(19,0.0); - S12_PT_0->SetBinContent(20,0.0); - S12_PT_0->SetBinContent(21,0.0); - S12_PT_0->SetBinContent(22,0.0); - S12_PT_0->SetBinContent(23,0.0); - S12_PT_0->SetBinContent(24,0.0); - S12_PT_0->SetBinContent(25,0.0); - S12_PT_0->SetBinContent(26,0.0); - S12_PT_0->SetBinContent(27,0.0); - S12_PT_0->SetBinContent(28,0.0); - S12_PT_0->SetBinContent(29,0.0); - S12_PT_0->SetBinContent(30,0.0); - S12_PT_0->SetBinContent(31,0.0); - S12_PT_0->SetBinContent(32,0.0); - S12_PT_0->SetBinContent(33,0.0); - S12_PT_0->SetBinContent(34,0.0); - S12_PT_0->SetBinContent(35,0.0); - S12_PT_0->SetBinContent(36,0.0); - S12_PT_0->SetBinContent(37,0.0); - S12_PT_0->SetBinContent(38,0.0); - S12_PT_0->SetBinContent(39,0.0); - S12_PT_0->SetBinContent(40,0.0); - S12_PT_0->SetBinContent(41,0.0); - S12_PT_0->SetBinContent(42,0.0); - S12_PT_0->SetBinContent(43,0.0); - S12_PT_0->SetBinContent(44,0.0); - S12_PT_0->SetBinContent(45,0.0); - S12_PT_0->SetBinContent(46,0.0); - S12_PT_0->SetBinContent(47,0.0); - S12_PT_0->SetBinContent(48,0.0); - S12_PT_0->SetBinContent(49,0.0); - S12_PT_0->SetBinContent(50,0.0); - S12_PT_0->SetBinContent(51,0.0); // overflow - S12_PT_0->SetEntries(506); - // Style - S12_PT_0->SetLineColor(9); - S12_PT_0->SetLineStyle(1); - S12_PT_0->SetLineWidth(1); - S12_PT_0->SetFillColor(9); - S12_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_24","mystack"); - stack->Add(S12_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ e ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_11.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_11.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_11.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_11.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_11.py deleted file mode 100644 index bcb1b390..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_11.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_11(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y12_PT_0 - y12_PT_0_weights = numpy.array([1.158587,2.657027,1.869187,1.004109,0.5252262,0.2471653,0.1235826,0.06179132,0.04634349,0.07723915,0.0,0.0,0.0,0.01544783,0.01544783,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ e ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y12_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y12_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_11.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_11.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_11.eps') - -# Running! -if __name__ == '__main__': - selection_11() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_110.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_110.C deleted file mode 100644 index f206dd5f..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_110.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_110() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo221","canvas_plotflow_tempo221",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S111_PHI_0 = new TH1F("S111_PHI_0","S111_PHI_0",32,-3.2,3.2); - // Content - S111_PHI_0->SetBinContent(0,0.0); // underflow - S111_PHI_0->SetBinContent(1,0.6951523); - S111_PHI_0->SetBinContent(2,1.019557); - S111_PHI_0->SetBinContent(3,0.911422); - S111_PHI_0->SetBinContent(4,0.911422); - S111_PHI_0->SetBinContent(5,0.8650785); - S111_PHI_0->SetBinContent(6,0.7414958); - S111_PHI_0->SetBinContent(7,1.220379); - S111_PHI_0->SetBinContent(8,1.220379); - S111_PHI_0->SetBinContent(9,0.9732133); - S111_PHI_0->SetBinContent(10,0.9423176); - S111_PHI_0->SetBinContent(11,0.9423176); - S111_PHI_0->SetBinContent(12,0.8805263); - S111_PHI_0->SetBinContent(13,0.8496306); - S111_PHI_0->SetBinContent(14,0.9886611); - S111_PHI_0->SetBinContent(15,0.8805263); - S111_PHI_0->SetBinContent(16,0.9732133); - S111_PHI_0->SetBinContent(17,0.8496306); - S111_PHI_0->SetBinContent(18,1.019557); - S111_PHI_0->SetBinContent(19,0.8496306); - S111_PHI_0->SetBinContent(20,0.9886611); - S111_PHI_0->SetBinContent(21,0.8341828); - S111_PHI_0->SetBinContent(22,0.9577655); - S111_PHI_0->SetBinContent(23,1.0659); - S111_PHI_0->SetBinContent(24,0.8959741); - S111_PHI_0->SetBinContent(25,1.035005); - S111_PHI_0->SetBinContent(26,0.9732133); - S111_PHI_0->SetBinContent(27,1.050452); - S111_PHI_0->SetBinContent(28,1.158587); - S111_PHI_0->SetBinContent(29,1.127692); - S111_PHI_0->SetBinContent(30,1.174035); - S111_PHI_0->SetBinContent(31,0.9732133); - S111_PHI_0->SetBinContent(32,0.9268698); - S111_PHI_0->SetBinContent(33,0.0); // overflow - S111_PHI_0->SetEntries(2000); - // Style - S111_PHI_0->SetLineColor(9); - S111_PHI_0->SetLineStyle(1); - S111_PHI_0->SetLineWidth(1); - S111_PHI_0->SetFillColor(9); - S111_PHI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_222","mystack"); - stack->Add(S111_PHI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#phi [ j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_110.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_110.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_110.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_110.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_110.py deleted file mode 100644 index b147d5b3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_110.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_110(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) - - # Creating weights for histo: y111_PHI_0 - y111_PHI_0_weights = numpy.array([0.6951523,1.019557,0.911422,0.911422,0.8650785,0.7414958,1.220379,1.220379,0.9732133,0.9423176,0.9423176,0.8805263,0.8496306,0.9886611,0.8805263,0.9732133,0.8496306,1.019557,0.8496306,0.9886611,0.8341828,0.9577655,1.0659,0.8959741,1.035005,0.9732133,1.050452,1.158587,1.127692,1.174035,0.9732133,0.9268698]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y111_PHI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\phi$ $[ j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y111_PHI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y111_PHI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_110.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_110.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_110.eps') - -# Running! -if __name__ == '__main__': - selection_110() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_111.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_111.C deleted file mode 100644 index 48cdf195..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_111.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_111() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo223","canvas_plotflow_tempo223",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S112_E_0 = new TH1F("S112_E_0","S112_E_0",50,0.0,2000.0); - // Content - S112_E_0->SetBinContent(0,0.0); // underflow - S112_E_0->SetBinContent(1,4.55711); - S112_E_0->SetBinContent(2,11.47774); - S112_E_0->SetBinContent(3,6.086445); - S112_E_0->SetBinContent(4,3.583897); - S112_E_0->SetBinContent(5,1.838292); - S112_E_0->SetBinContent(6,1.158587); - S112_E_0->SetBinContent(7,0.6951523); - S112_E_0->SetBinContent(8,0.5561219); - S112_E_0->SetBinContent(9,0.2780609); - S112_E_0->SetBinContent(10,0.1699261); - S112_E_0->SetBinContent(11,0.185374); - S112_E_0->SetBinContent(12,0.1390305); - S112_E_0->SetBinContent(13,0.04634349); - S112_E_0->SetBinContent(14,0.01544783); - S112_E_0->SetBinContent(15,0.04634349); - S112_E_0->SetBinContent(16,0.03089566); - S112_E_0->SetBinContent(17,0.0); - S112_E_0->SetBinContent(18,0.0); - S112_E_0->SetBinContent(19,0.0); - S112_E_0->SetBinContent(20,0.03089566); - S112_E_0->SetBinContent(21,0.0); - S112_E_0->SetBinContent(22,0.0); - S112_E_0->SetBinContent(23,0.0); - S112_E_0->SetBinContent(24,0.0); - S112_E_0->SetBinContent(25,0.0); - S112_E_0->SetBinContent(26,0.0); - S112_E_0->SetBinContent(27,0.0); - S112_E_0->SetBinContent(28,0.0); - S112_E_0->SetBinContent(29,0.0); - S112_E_0->SetBinContent(30,0.0); - S112_E_0->SetBinContent(31,0.0); - S112_E_0->SetBinContent(32,0.0); - S112_E_0->SetBinContent(33,0.0); - S112_E_0->SetBinContent(34,0.0); - S112_E_0->SetBinContent(35,0.0); - S112_E_0->SetBinContent(36,0.0); - S112_E_0->SetBinContent(37,0.0); - S112_E_0->SetBinContent(38,0.0); - S112_E_0->SetBinContent(39,0.0); - S112_E_0->SetBinContent(40,0.0); - S112_E_0->SetBinContent(41,0.0); - S112_E_0->SetBinContent(42,0.0); - S112_E_0->SetBinContent(43,0.0); - S112_E_0->SetBinContent(44,0.0); - S112_E_0->SetBinContent(45,0.0); - S112_E_0->SetBinContent(46,0.0); - S112_E_0->SetBinContent(47,0.0); - S112_E_0->SetBinContent(48,0.0); - S112_E_0->SetBinContent(49,0.0); - S112_E_0->SetBinContent(50,0.0); - S112_E_0->SetBinContent(51,0.0); // overflow - S112_E_0->SetEntries(2000); - // Style - S112_E_0->SetLineColor(9); - S112_E_0->SetLineStyle(1); - S112_E_0->SetLineWidth(1); - S112_E_0->SetFillColor(9); - S112_E_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_224","mystack"); - stack->Add(S112_E_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E [ j ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_111.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_111.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_111.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_111.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_111.py deleted file mode 100644 index 1622820e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_111.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_111(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y112_E_0 - y112_E_0_weights = numpy.array([4.55711,11.47774,6.086445,3.583897,1.838292,1.158587,0.6951523,0.5561219,0.2780609,0.1699261,0.185374,0.1390305,0.04634349,0.01544783,0.04634349,0.03089566,0.0,0.0,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y112_E_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E$ $[ j ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y112_E_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y112_E_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_111.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_111.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_111.eps') - -# Running! -if __name__ == '__main__': - selection_111() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_112.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_112.C deleted file mode 100644 index c000d64c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_112.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_112() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo225","canvas_plotflow_tempo225",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S113_ET_0 = new TH1F("S113_ET_0","S113_ET_0",50,0.0,2000.0); - // Content - S113_ET_0->SetBinContent(0,0.0); // underflow - S113_ET_0->SetBinContent(1,11.46229); - S113_ET_0->SetBinContent(2,14.04208); - S113_ET_0->SetBinContent(3,3.877405); - S113_ET_0->SetBinContent(4,1.143139); - S113_ET_0->SetBinContent(5,0.2471653); - S113_ET_0->SetBinContent(6,0.07723915); - S113_ET_0->SetBinContent(7,0.01544783); - S113_ET_0->SetBinContent(8,0.03089566); - S113_ET_0->SetBinContent(9,0.0); - S113_ET_0->SetBinContent(10,0.0); - S113_ET_0->SetBinContent(11,0.0); - S113_ET_0->SetBinContent(12,0.0); - S113_ET_0->SetBinContent(13,0.0); - S113_ET_0->SetBinContent(14,0.0); - S113_ET_0->SetBinContent(15,0.0); - S113_ET_0->SetBinContent(16,0.0); - S113_ET_0->SetBinContent(17,0.0); - S113_ET_0->SetBinContent(18,0.0); - S113_ET_0->SetBinContent(19,0.0); - S113_ET_0->SetBinContent(20,0.0); - S113_ET_0->SetBinContent(21,0.0); - S113_ET_0->SetBinContent(22,0.0); - S113_ET_0->SetBinContent(23,0.0); - S113_ET_0->SetBinContent(24,0.0); - S113_ET_0->SetBinContent(25,0.0); - S113_ET_0->SetBinContent(26,0.0); - S113_ET_0->SetBinContent(27,0.0); - S113_ET_0->SetBinContent(28,0.0); - S113_ET_0->SetBinContent(29,0.0); - S113_ET_0->SetBinContent(30,0.0); - S113_ET_0->SetBinContent(31,0.0); - S113_ET_0->SetBinContent(32,0.0); - S113_ET_0->SetBinContent(33,0.0); - S113_ET_0->SetBinContent(34,0.0); - S113_ET_0->SetBinContent(35,0.0); - S113_ET_0->SetBinContent(36,0.0); - S113_ET_0->SetBinContent(37,0.0); - S113_ET_0->SetBinContent(38,0.0); - S113_ET_0->SetBinContent(39,0.0); - S113_ET_0->SetBinContent(40,0.0); - S113_ET_0->SetBinContent(41,0.0); - S113_ET_0->SetBinContent(42,0.0); - S113_ET_0->SetBinContent(43,0.0); - S113_ET_0->SetBinContent(44,0.0); - S113_ET_0->SetBinContent(45,0.0); - S113_ET_0->SetBinContent(46,0.0); - S113_ET_0->SetBinContent(47,0.0); - S113_ET_0->SetBinContent(48,0.0); - S113_ET_0->SetBinContent(49,0.0); - S113_ET_0->SetBinContent(50,0.0); - S113_ET_0->SetBinContent(51,0.0); // overflow - S113_ET_0->SetEntries(2000); - // Style - S113_ET_0->SetLineColor(9); - S113_ET_0->SetLineStyle(1); - S113_ET_0->SetLineWidth(1); - S113_ET_0->SetFillColor(9); - S113_ET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_226","mystack"); - stack->Add(S113_ET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E_{T} [ j ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_112.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_112.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_112.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_112.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_112.py deleted file mode 100644 index e0b6dbad..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_112.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_112(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y113_ET_0 - y113_ET_0_weights = numpy.array([11.46229,14.04208,3.877405,1.143139,0.2471653,0.07723915,0.01544783,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y113_ET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E_{T}$ $[ j ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y113_ET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y113_ET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_112.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_112.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_112.eps') - -# Running! -if __name__ == '__main__': - selection_112() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_113.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_113.C deleted file mode 100644 index a5f35b39..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_113.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_113() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo227","canvas_plotflow_tempo227",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S114_M_0 = new TH1F("S114_M_0","S114_M_0",50,0.0,200.0); - // Content - S114_M_0->SetBinContent(0,15.72589); // underflow - S114_M_0->SetBinContent(1,15.16977); - S114_M_0->SetBinContent(2,0.0); - S114_M_0->SetBinContent(3,0.0); - S114_M_0->SetBinContent(4,0.0); - S114_M_0->SetBinContent(5,0.0); - S114_M_0->SetBinContent(6,0.0); - S114_M_0->SetBinContent(7,0.0); - S114_M_0->SetBinContent(8,0.0); - S114_M_0->SetBinContent(9,0.0); - S114_M_0->SetBinContent(10,0.0); - S114_M_0->SetBinContent(11,0.0); - S114_M_0->SetBinContent(12,0.0); - S114_M_0->SetBinContent(13,0.0); - S114_M_0->SetBinContent(14,0.0); - S114_M_0->SetBinContent(15,0.0); - S114_M_0->SetBinContent(16,0.0); - S114_M_0->SetBinContent(17,0.0); - S114_M_0->SetBinContent(18,0.0); - S114_M_0->SetBinContent(19,0.0); - S114_M_0->SetBinContent(20,0.0); - S114_M_0->SetBinContent(21,0.0); - S114_M_0->SetBinContent(22,0.0); - S114_M_0->SetBinContent(23,0.0); - S114_M_0->SetBinContent(24,0.0); - S114_M_0->SetBinContent(25,0.0); - S114_M_0->SetBinContent(26,0.0); - S114_M_0->SetBinContent(27,0.0); - S114_M_0->SetBinContent(28,0.0); - S114_M_0->SetBinContent(29,0.0); - S114_M_0->SetBinContent(30,0.0); - S114_M_0->SetBinContent(31,0.0); - S114_M_0->SetBinContent(32,0.0); - S114_M_0->SetBinContent(33,0.0); - S114_M_0->SetBinContent(34,0.0); - S114_M_0->SetBinContent(35,0.0); - S114_M_0->SetBinContent(36,0.0); - S114_M_0->SetBinContent(37,0.0); - S114_M_0->SetBinContent(38,0.0); - S114_M_0->SetBinContent(39,0.0); - S114_M_0->SetBinContent(40,0.0); - S114_M_0->SetBinContent(41,0.0); - S114_M_0->SetBinContent(42,0.0); - S114_M_0->SetBinContent(43,0.0); - S114_M_0->SetBinContent(44,0.0); - S114_M_0->SetBinContent(45,0.0); - S114_M_0->SetBinContent(46,0.0); - S114_M_0->SetBinContent(47,0.0); - S114_M_0->SetBinContent(48,0.0); - S114_M_0->SetBinContent(49,0.0); - S114_M_0->SetBinContent(50,0.0); - S114_M_0->SetBinContent(51,0.0); // overflow - S114_M_0->SetEntries(2000); - // Style - S114_M_0->SetLineColor(9); - S114_M_0->SetLineStyle(1); - S114_M_0->SetLineWidth(1); - S114_M_0->SetFillColor(9); - S114_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_228","mystack"); - stack->Add(S114_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ j ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_113.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_113.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_113.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_113.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_113.py deleted file mode 100644 index 8d67e408..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_113.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_113(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,200.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([2.0,6.0,10.0,14.0,18.0,22.0,26.0,30.0,34.0,38.0,42.0,46.0,50.0,54.0,58.0,62.0,66.0,70.0,74.0,78.0,82.0,86.0,90.0,94.0,98.0,102.0,106.0,110.0,114.0,118.0,122.0,126.0,130.0,134.0,138.0,142.0,146.0,150.0,154.0,158.0,162.0,166.0,170.0,174.0,178.0,182.0,186.0,190.0,194.0,198.0]) - - # Creating weights for histo: y114_M_0 - y114_M_0_weights = numpy.array([15.16977,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y114_M_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ j ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y114_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y114_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_113.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_113.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_113.eps') - -# Running! -if __name__ == '__main__': - selection_113() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_114.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_114.C deleted file mode 100644 index e68271c0..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_114.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_114() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo229","canvas_plotflow_tempo229",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S115_MT_0 = new TH1F("S115_MT_0","S115_MT_0",50,0.0,1000.0); - // Content - S115_MT_0->SetBinContent(0,0.0); // underflow - S115_MT_0->SetBinContent(1,30.89566); - S115_MT_0->SetBinContent(2,0.0); - S115_MT_0->SetBinContent(3,0.0); - S115_MT_0->SetBinContent(4,0.0); - S115_MT_0->SetBinContent(5,0.0); - S115_MT_0->SetBinContent(6,0.0); - S115_MT_0->SetBinContent(7,0.0); - S115_MT_0->SetBinContent(8,0.0); - S115_MT_0->SetBinContent(9,0.0); - S115_MT_0->SetBinContent(10,0.0); - S115_MT_0->SetBinContent(11,0.0); - S115_MT_0->SetBinContent(12,0.0); - S115_MT_0->SetBinContent(13,0.0); - S115_MT_0->SetBinContent(14,0.0); - S115_MT_0->SetBinContent(15,0.0); - S115_MT_0->SetBinContent(16,0.0); - S115_MT_0->SetBinContent(17,0.0); - S115_MT_0->SetBinContent(18,0.0); - S115_MT_0->SetBinContent(19,0.0); - S115_MT_0->SetBinContent(20,0.0); - S115_MT_0->SetBinContent(21,0.0); - S115_MT_0->SetBinContent(22,0.0); - S115_MT_0->SetBinContent(23,0.0); - S115_MT_0->SetBinContent(24,0.0); - S115_MT_0->SetBinContent(25,0.0); - S115_MT_0->SetBinContent(26,0.0); - S115_MT_0->SetBinContent(27,0.0); - S115_MT_0->SetBinContent(28,0.0); - S115_MT_0->SetBinContent(29,0.0); - S115_MT_0->SetBinContent(30,0.0); - S115_MT_0->SetBinContent(31,0.0); - S115_MT_0->SetBinContent(32,0.0); - S115_MT_0->SetBinContent(33,0.0); - S115_MT_0->SetBinContent(34,0.0); - S115_MT_0->SetBinContent(35,0.0); - S115_MT_0->SetBinContent(36,0.0); - S115_MT_0->SetBinContent(37,0.0); - S115_MT_0->SetBinContent(38,0.0); - S115_MT_0->SetBinContent(39,0.0); - S115_MT_0->SetBinContent(40,0.0); - S115_MT_0->SetBinContent(41,0.0); - S115_MT_0->SetBinContent(42,0.0); - S115_MT_0->SetBinContent(43,0.0); - S115_MT_0->SetBinContent(44,0.0); - S115_MT_0->SetBinContent(45,0.0); - S115_MT_0->SetBinContent(46,0.0); - S115_MT_0->SetBinContent(47,0.0); - S115_MT_0->SetBinContent(48,0.0); - S115_MT_0->SetBinContent(49,0.0); - S115_MT_0->SetBinContent(50,0.0); - S115_MT_0->SetBinContent(51,0.0); // overflow - S115_MT_0->SetEntries(2000); - // Style - S115_MT_0->SetLineColor(9); - S115_MT_0->SetLineStyle(1); - S115_MT_0->SetLineWidth(1); - S115_MT_0->SetFillColor(9); - S115_MT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_230","mystack"); - stack->Add(S115_MT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ j ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_114.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_114.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_114.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_114.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_114.py deleted file mode 100644 index bcc1b399..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_114.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_114(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y115_MT_0 - y115_MT_0_weights = numpy.array([30.89566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y115_MT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ j ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y115_MT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y115_MT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_114.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_114.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_114.eps') - -# Running! -if __name__ == '__main__': - selection_114() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_115.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_115.C deleted file mode 100644 index 6ee78065..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_115.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_115() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo231","canvas_plotflow_tempo231",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S116_MT_MET_0 = new TH1F("S116_MT_MET_0","S116_MT_MET_0",50,0.0,1000.0); - // Content - S116_MT_MET_0->SetBinContent(0,0.0); // underflow - S116_MT_MET_0->SetBinContent(1,3.583897); - S116_MT_MET_0->SetBinContent(2,4.263601); - S116_MT_MET_0->SetBinContent(3,5.066888); - S116_MT_MET_0->SetBinContent(4,4.618901); - S116_MT_MET_0->SetBinContent(5,4.031884); - S116_MT_MET_0->SetBinContent(6,2.904192); - S116_MT_MET_0->SetBinContent(7,1.807396); - S116_MT_MET_0->SetBinContent(8,1.405753); - S116_MT_MET_0->SetBinContent(9,1.004109); - S116_MT_MET_0->SetBinContent(10,0.8650785); - S116_MT_MET_0->SetBinContent(11,0.4016436); - S116_MT_MET_0->SetBinContent(12,0.2008218); - S116_MT_MET_0->SetBinContent(13,0.2162696); - S116_MT_MET_0->SetBinContent(14,0.1699261); - S116_MT_MET_0->SetBinContent(15,0.09268698); - S116_MT_MET_0->SetBinContent(16,0.1081348); - S116_MT_MET_0->SetBinContent(17,0.04634349); - S116_MT_MET_0->SetBinContent(18,0.04634349); - S116_MT_MET_0->SetBinContent(19,0.03089566); - S116_MT_MET_0->SetBinContent(20,0.0); - S116_MT_MET_0->SetBinContent(21,0.0); - S116_MT_MET_0->SetBinContent(22,0.01544783); - S116_MT_MET_0->SetBinContent(23,0.0); - S116_MT_MET_0->SetBinContent(24,0.0); - S116_MT_MET_0->SetBinContent(25,0.01544783); - S116_MT_MET_0->SetBinContent(26,0.0); - S116_MT_MET_0->SetBinContent(27,0.0); - S116_MT_MET_0->SetBinContent(28,0.0); - S116_MT_MET_0->SetBinContent(29,0.0); - S116_MT_MET_0->SetBinContent(30,0.0); - S116_MT_MET_0->SetBinContent(31,0.0); - S116_MT_MET_0->SetBinContent(32,0.0); - S116_MT_MET_0->SetBinContent(33,0.0); - S116_MT_MET_0->SetBinContent(34,0.0); - S116_MT_MET_0->SetBinContent(35,0.0); - S116_MT_MET_0->SetBinContent(36,0.0); - S116_MT_MET_0->SetBinContent(37,0.0); - S116_MT_MET_0->SetBinContent(38,0.0); - S116_MT_MET_0->SetBinContent(39,0.0); - S116_MT_MET_0->SetBinContent(40,0.0); - S116_MT_MET_0->SetBinContent(41,0.0); - S116_MT_MET_0->SetBinContent(42,0.0); - S116_MT_MET_0->SetBinContent(43,0.0); - S116_MT_MET_0->SetBinContent(44,0.0); - S116_MT_MET_0->SetBinContent(45,0.0); - S116_MT_MET_0->SetBinContent(46,0.0); - S116_MT_MET_0->SetBinContent(47,0.0); - S116_MT_MET_0->SetBinContent(48,0.0); - S116_MT_MET_0->SetBinContent(49,0.0); - S116_MT_MET_0->SetBinContent(50,0.0); - S116_MT_MET_0->SetBinContent(51,0.0); // overflow - S116_MT_MET_0->SetEntries(2000); - // Style - S116_MT_MET_0->SetLineColor(9); - S116_MT_MET_0->SetLineStyle(1); - S116_MT_MET_0->SetLineWidth(1); - S116_MT_MET_0->SetFillColor(9); - S116_MT_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_232","mystack"); - stack->Add(S116_MT_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ j ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_115.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_115.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_115.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_115.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_115.py deleted file mode 100644 index 0cd51f6c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_115.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_115(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y116_MT_MET_0 - y116_MT_MET_0_weights = numpy.array([3.583897,4.263601,5.066888,4.618901,4.031884,2.904192,1.807396,1.405753,1.004109,0.8650785,0.4016436,0.2008218,0.2162696,0.1699261,0.09268698,0.1081348,0.04634349,0.04634349,0.03089566,0.0,0.0,0.01544783,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y116_MT_MET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ j ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y116_MT_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y116_MT_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_115.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_115.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_115.eps') - -# Running! -if __name__ == '__main__': - selection_115() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_116.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_116.C deleted file mode 100644 index 4b31b46e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_116.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_116() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo233","canvas_plotflow_tempo233",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S117_P_0 = new TH1F("S117_P_0","S117_P_0",50,0.0,2000.0); - // Content - S117_P_0->SetBinContent(0,0.0); // underflow - S117_P_0->SetBinContent(1,4.55711); - S117_P_0->SetBinContent(2,11.47774); - S117_P_0->SetBinContent(3,6.086445); - S117_P_0->SetBinContent(4,3.583897); - S117_P_0->SetBinContent(5,1.838292); - S117_P_0->SetBinContent(6,1.158587); - S117_P_0->SetBinContent(7,0.6951523); - S117_P_0->SetBinContent(8,0.5561219); - S117_P_0->SetBinContent(9,0.2780609); - S117_P_0->SetBinContent(10,0.1699261); - S117_P_0->SetBinContent(11,0.185374); - S117_P_0->SetBinContent(12,0.1390305); - S117_P_0->SetBinContent(13,0.04634349); - S117_P_0->SetBinContent(14,0.01544783); - S117_P_0->SetBinContent(15,0.04634349); - S117_P_0->SetBinContent(16,0.03089566); - S117_P_0->SetBinContent(17,0.0); - S117_P_0->SetBinContent(18,0.0); - S117_P_0->SetBinContent(19,0.0); - S117_P_0->SetBinContent(20,0.03089566); - S117_P_0->SetBinContent(21,0.0); - S117_P_0->SetBinContent(22,0.0); - S117_P_0->SetBinContent(23,0.0); - S117_P_0->SetBinContent(24,0.0); - S117_P_0->SetBinContent(25,0.0); - S117_P_0->SetBinContent(26,0.0); - S117_P_0->SetBinContent(27,0.0); - S117_P_0->SetBinContent(28,0.0); - S117_P_0->SetBinContent(29,0.0); - S117_P_0->SetBinContent(30,0.0); - S117_P_0->SetBinContent(31,0.0); - S117_P_0->SetBinContent(32,0.0); - S117_P_0->SetBinContent(33,0.0); - S117_P_0->SetBinContent(34,0.0); - S117_P_0->SetBinContent(35,0.0); - S117_P_0->SetBinContent(36,0.0); - S117_P_0->SetBinContent(37,0.0); - S117_P_0->SetBinContent(38,0.0); - S117_P_0->SetBinContent(39,0.0); - S117_P_0->SetBinContent(40,0.0); - S117_P_0->SetBinContent(41,0.0); - S117_P_0->SetBinContent(42,0.0); - S117_P_0->SetBinContent(43,0.0); - S117_P_0->SetBinContent(44,0.0); - S117_P_0->SetBinContent(45,0.0); - S117_P_0->SetBinContent(46,0.0); - S117_P_0->SetBinContent(47,0.0); - S117_P_0->SetBinContent(48,0.0); - S117_P_0->SetBinContent(49,0.0); - S117_P_0->SetBinContent(50,0.0); - S117_P_0->SetBinContent(51,0.0); // overflow - S117_P_0->SetEntries(2000); - // Style - S117_P_0->SetLineColor(9); - S117_P_0->SetLineStyle(1); - S117_P_0->SetLineWidth(1); - S117_P_0->SetFillColor(9); - S117_P_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_234","mystack"); - stack->Add(S117_P_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p [ j ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_116.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_116.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_116.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_116.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_116.py deleted file mode 100644 index 3697eccd..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_116.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_116(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y117_P_0 - y117_P_0_weights = numpy.array([4.55711,11.47774,6.086445,3.583897,1.838292,1.158587,0.6951523,0.5561219,0.2780609,0.1699261,0.185374,0.1390305,0.04634349,0.01544783,0.04634349,0.03089566,0.0,0.0,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y117_P_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p$ $[ j ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y117_P_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y117_P_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_116.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_116.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_116.eps') - -# Running! -if __name__ == '__main__': - selection_116() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_117.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_117.C deleted file mode 100644 index 6895f88a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_117.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_117() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo235","canvas_plotflow_tempo235",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S118_PX_0 = new TH1F("S118_PX_0","S118_PX_0",50,-1000.0,1000.0); - // Content - S118_PX_0->SetBinContent(0,0.0); // underflow - S118_PX_0->SetBinContent(1,0.0); - S118_PX_0->SetBinContent(2,0.0); - S118_PX_0->SetBinContent(3,0.0); - S118_PX_0->SetBinContent(4,0.0); - S118_PX_0->SetBinContent(5,0.0); - S118_PX_0->SetBinContent(6,0.0); - S118_PX_0->SetBinContent(7,0.0); - S118_PX_0->SetBinContent(8,0.0); - S118_PX_0->SetBinContent(9,0.0); - S118_PX_0->SetBinContent(10,0.0); - S118_PX_0->SetBinContent(11,0.0); - S118_PX_0->SetBinContent(12,0.0); - S118_PX_0->SetBinContent(13,0.0); - S118_PX_0->SetBinContent(14,0.0); - S118_PX_0->SetBinContent(15,0.0); - S118_PX_0->SetBinContent(16,0.0); - S118_PX_0->SetBinContent(17,0.0); - S118_PX_0->SetBinContent(18,0.0); - S118_PX_0->SetBinContent(19,0.0); - S118_PX_0->SetBinContent(20,0.01544783); - S118_PX_0->SetBinContent(21,0.03089566); - S118_PX_0->SetBinContent(22,0.2935088); - S118_PX_0->SetBinContent(23,0.8341828); - S118_PX_0->SetBinContent(24,4.170914); - S118_PX_0->SetBinContent(25,10.90617); - S118_PX_0->SetBinContent(26,10.08743); - S118_PX_0->SetBinContent(27,3.398523); - S118_PX_0->SetBinContent(28,0.8496306); - S118_PX_0->SetBinContent(29,0.2317174); - S118_PX_0->SetBinContent(30,0.07723915); - S118_PX_0->SetBinContent(31,0.0); - S118_PX_0->SetBinContent(32,0.0); - S118_PX_0->SetBinContent(33,0.0); - S118_PX_0->SetBinContent(34,0.0); - S118_PX_0->SetBinContent(35,0.0); - S118_PX_0->SetBinContent(36,0.0); - S118_PX_0->SetBinContent(37,0.0); - S118_PX_0->SetBinContent(38,0.0); - S118_PX_0->SetBinContent(39,0.0); - S118_PX_0->SetBinContent(40,0.0); - S118_PX_0->SetBinContent(41,0.0); - S118_PX_0->SetBinContent(42,0.0); - S118_PX_0->SetBinContent(43,0.0); - S118_PX_0->SetBinContent(44,0.0); - S118_PX_0->SetBinContent(45,0.0); - S118_PX_0->SetBinContent(46,0.0); - S118_PX_0->SetBinContent(47,0.0); - S118_PX_0->SetBinContent(48,0.0); - S118_PX_0->SetBinContent(49,0.0); - S118_PX_0->SetBinContent(50,0.0); - S118_PX_0->SetBinContent(51,0.0); // overflow - S118_PX_0->SetEntries(2000); - // Style - S118_PX_0->SetLineColor(9); - S118_PX_0->SetLineStyle(1); - S118_PX_0->SetLineWidth(1); - S118_PX_0->SetFillColor(9); - S118_PX_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_236","mystack"); - stack->Add(S118_PX_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{x} [ j ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_117.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_117.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_117.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_117.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_117.py deleted file mode 100644 index d9ee06e9..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_117.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_117(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) - - # Creating weights for histo: y118_PX_0 - y118_PX_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.03089566,0.2935088,0.8341828,4.170914,10.90617,10.08743,3.398523,0.8496306,0.2317174,0.07723915,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y118_PX_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{x}$ $[ j ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y118_PX_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y118_PX_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_117.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_117.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_117.eps') - -# Running! -if __name__ == '__main__': - selection_117() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_118.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_118.C deleted file mode 100644 index 7b62e55b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_118.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_118() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo237","canvas_plotflow_tempo237",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S119_PY_0 = new TH1F("S119_PY_0","S119_PY_0",50,-1000.0,1000.0); - // Content - S119_PY_0->SetBinContent(0,0.0); // underflow - S119_PY_0->SetBinContent(1,0.0); - S119_PY_0->SetBinContent(2,0.0); - S119_PY_0->SetBinContent(3,0.0); - S119_PY_0->SetBinContent(4,0.0); - S119_PY_0->SetBinContent(5,0.0); - S119_PY_0->SetBinContent(6,0.0); - S119_PY_0->SetBinContent(7,0.0); - S119_PY_0->SetBinContent(8,0.0); - S119_PY_0->SetBinContent(9,0.0); - S119_PY_0->SetBinContent(10,0.0); - S119_PY_0->SetBinContent(11,0.0); - S119_PY_0->SetBinContent(12,0.0); - S119_PY_0->SetBinContent(13,0.0); - S119_PY_0->SetBinContent(14,0.0); - S119_PY_0->SetBinContent(15,0.0); - S119_PY_0->SetBinContent(16,0.0); - S119_PY_0->SetBinContent(17,0.0); - S119_PY_0->SetBinContent(18,0.0); - S119_PY_0->SetBinContent(19,0.0); - S119_PY_0->SetBinContent(20,0.03089566); - S119_PY_0->SetBinContent(21,0.04634349); - S119_PY_0->SetBinContent(22,0.1081348); - S119_PY_0->SetBinContent(23,0.911422); - S119_PY_0->SetBinContent(24,4.124571); - S119_PY_0->SetBinContent(25,9.793924); - S119_PY_0->SetBinContent(26,10.64355); - S119_PY_0->SetBinContent(27,4.000988); - S119_PY_0->SetBinContent(28,0.9268698); - S119_PY_0->SetBinContent(29,0.2162696); - S119_PY_0->SetBinContent(30,0.06179132); - S119_PY_0->SetBinContent(31,0.0); - S119_PY_0->SetBinContent(32,0.03089566); - S119_PY_0->SetBinContent(33,0.0); - S119_PY_0->SetBinContent(34,0.0); - S119_PY_0->SetBinContent(35,0.0); - S119_PY_0->SetBinContent(36,0.0); - S119_PY_0->SetBinContent(37,0.0); - S119_PY_0->SetBinContent(38,0.0); - S119_PY_0->SetBinContent(39,0.0); - S119_PY_0->SetBinContent(40,0.0); - S119_PY_0->SetBinContent(41,0.0); - S119_PY_0->SetBinContent(42,0.0); - S119_PY_0->SetBinContent(43,0.0); - S119_PY_0->SetBinContent(44,0.0); - S119_PY_0->SetBinContent(45,0.0); - S119_PY_0->SetBinContent(46,0.0); - S119_PY_0->SetBinContent(47,0.0); - S119_PY_0->SetBinContent(48,0.0); - S119_PY_0->SetBinContent(49,0.0); - S119_PY_0->SetBinContent(50,0.0); - S119_PY_0->SetBinContent(51,0.0); // overflow - S119_PY_0->SetEntries(2000); - // Style - S119_PY_0->SetLineColor(9); - S119_PY_0->SetLineStyle(1); - S119_PY_0->SetLineWidth(1); - S119_PY_0->SetFillColor(9); - S119_PY_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_238","mystack"); - stack->Add(S119_PY_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{y} [ j ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_118.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_118.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_118.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_118.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_118.py deleted file mode 100644 index 3e35da94..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_118.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_118(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) - - # Creating weights for histo: y119_PY_0 - y119_PY_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03089566,0.04634349,0.1081348,0.911422,4.124571,9.793924,10.64355,4.000988,0.9268698,0.2162696,0.06179132,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y119_PY_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{y}$ $[ j ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y119_PY_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y119_PY_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_118.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_118.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_118.eps') - -# Running! -if __name__ == '__main__': - selection_118() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_119.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_119.C deleted file mode 100644 index 7fb170f3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_119.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_119() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo239","canvas_plotflow_tempo239",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S120_PZ_0 = new TH1F("S120_PZ_0","S120_PZ_0",50,-2000.0,2000.0); - // Content - S120_PZ_0->SetBinContent(0,0.0); // underflow - S120_PZ_0->SetBinContent(1,0.0); - S120_PZ_0->SetBinContent(2,0.0); - S120_PZ_0->SetBinContent(3,0.0); - S120_PZ_0->SetBinContent(4,0.0); - S120_PZ_0->SetBinContent(5,0.0); - S120_PZ_0->SetBinContent(6,0.0); - S120_PZ_0->SetBinContent(7,0.0); - S120_PZ_0->SetBinContent(8,0.0); - S120_PZ_0->SetBinContent(9,0.0); - S120_PZ_0->SetBinContent(10,0.0); - S120_PZ_0->SetBinContent(11,0.0); - S120_PZ_0->SetBinContent(12,0.0); - S120_PZ_0->SetBinContent(13,0.0); - S120_PZ_0->SetBinContent(14,0.0); - S120_PZ_0->SetBinContent(15,0.0); - S120_PZ_0->SetBinContent(16,0.0); - S120_PZ_0->SetBinContent(17,0.0); - S120_PZ_0->SetBinContent(18,0.04634349); - S120_PZ_0->SetBinContent(19,0.01544783); - S120_PZ_0->SetBinContent(20,0.09268698); - S120_PZ_0->SetBinContent(21,0.1235826); - S120_PZ_0->SetBinContent(22,0.5561219); - S120_PZ_0->SetBinContent(23,1.019557); - S120_PZ_0->SetBinContent(24,2.857849); - S120_PZ_0->SetBinContent(25,10.62811); - S120_PZ_0->SetBinContent(26,10.44273); - S120_PZ_0->SetBinContent(27,2.904192); - S120_PZ_0->SetBinContent(28,1.251274); - S120_PZ_0->SetBinContent(29,0.4634349); - S120_PZ_0->SetBinContent(30,0.2317174); - S120_PZ_0->SetBinContent(31,0.185374); - S120_PZ_0->SetBinContent(32,0.01544783); - S120_PZ_0->SetBinContent(33,0.03089566); - S120_PZ_0->SetBinContent(34,0.0); - S120_PZ_0->SetBinContent(35,0.03089566); - S120_PZ_0->SetBinContent(36,0.0); - S120_PZ_0->SetBinContent(37,0.0); - S120_PZ_0->SetBinContent(38,0.0); - S120_PZ_0->SetBinContent(39,0.0); - S120_PZ_0->SetBinContent(40,0.0); - S120_PZ_0->SetBinContent(41,0.0); - S120_PZ_0->SetBinContent(42,0.0); - S120_PZ_0->SetBinContent(43,0.0); - S120_PZ_0->SetBinContent(44,0.0); - S120_PZ_0->SetBinContent(45,0.0); - S120_PZ_0->SetBinContent(46,0.0); - S120_PZ_0->SetBinContent(47,0.0); - S120_PZ_0->SetBinContent(48,0.0); - S120_PZ_0->SetBinContent(49,0.0); - S120_PZ_0->SetBinContent(50,0.0); - S120_PZ_0->SetBinContent(51,0.0); // overflow - S120_PZ_0->SetEntries(2000); - // Style - S120_PZ_0->SetLineColor(9); - S120_PZ_0->SetLineStyle(1); - S120_PZ_0->SetLineWidth(1); - S120_PZ_0->SetFillColor(9); - S120_PZ_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_240","mystack"); - stack->Add(S120_PZ_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{z} [ j ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_119.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_119.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_119.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_119.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_119.py deleted file mode 100644 index 20b7bfd2..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_119.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_119(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-2000.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-1960.0,-1880.0,-1800.0,-1720.0,-1640.0,-1560.0,-1480.0,-1400.0,-1320.0,-1240.0,-1160.0,-1080.0,-1000.0,-920.0,-840.0,-760.0,-680.0,-600.0,-520.0,-440.0,-360.0,-280.0,-200.0,-120.0,-40.0,40.0,120.0,200.0,280.0,360.0,440.0,520.0,600.0,680.0,760.0,840.0,920.0,1000.0,1080.0,1160.0,1240.0,1320.0,1400.0,1480.0,1560.0,1640.0,1720.0,1800.0,1880.0,1960.0]) - - # Creating weights for histo: y120_PZ_0 - y120_PZ_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04634349,0.01544783,0.09268698,0.1235826,0.5561219,1.019557,2.857849,10.62811,10.44273,2.904192,1.251274,0.4634349,0.2317174,0.185374,0.01544783,0.03089566,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y120_PZ_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{z}$ $[ j ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y120_PZ_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y120_PZ_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_119.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_119.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_119.eps') - -# Running! -if __name__ == '__main__': - selection_119() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_12.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_12.C deleted file mode 100644 index 73fb70c2..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_12.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_12() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo25","canvas_plotflow_tempo25",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S13_ETA_0 = new TH1F("S13_ETA_0","S13_ETA_0",50,-8.0,8.0); - // Content - S13_ETA_0->SetBinContent(0,0.0); // underflow - S13_ETA_0->SetBinContent(1,0.0); - S13_ETA_0->SetBinContent(2,0.0); - S13_ETA_0->SetBinContent(3,0.0); - S13_ETA_0->SetBinContent(4,0.0); - S13_ETA_0->SetBinContent(5,0.0); - S13_ETA_0->SetBinContent(6,0.0); - S13_ETA_0->SetBinContent(7,0.0); - S13_ETA_0->SetBinContent(8,0.0); - S13_ETA_0->SetBinContent(9,0.0); - S13_ETA_0->SetBinContent(10,0.0); - S13_ETA_0->SetBinContent(11,0.0); - S13_ETA_0->SetBinContent(12,0.0); - S13_ETA_0->SetBinContent(13,0.0); - S13_ETA_0->SetBinContent(14,0.0); - S13_ETA_0->SetBinContent(15,0.0); - S13_ETA_0->SetBinContent(16,0.0); - S13_ETA_0->SetBinContent(17,0.0); - S13_ETA_0->SetBinContent(18,0.1544783); - S13_ETA_0->SetBinContent(19,0.2317174); - S13_ETA_0->SetBinContent(20,0.3861957); - S13_ETA_0->SetBinContent(21,0.2626131); - S13_ETA_0->SetBinContent(22,0.5561219); - S13_ETA_0->SetBinContent(23,0.5097784); - S13_ETA_0->SetBinContent(24,0.8650785); - S13_ETA_0->SetBinContent(25,0.8650785); - S13_ETA_0->SetBinContent(26,0.818735); - S13_ETA_0->SetBinContent(27,0.5870175); - S13_ETA_0->SetBinContent(28,0.633361); - S13_ETA_0->SetBinContent(29,0.6642567); - S13_ETA_0->SetBinContent(30,0.5870175); - S13_ETA_0->SetBinContent(31,0.3398523); - S13_ETA_0->SetBinContent(32,0.2162696); - S13_ETA_0->SetBinContent(33,0.1390305); - S13_ETA_0->SetBinContent(34,0.0); - S13_ETA_0->SetBinContent(35,0.0); - S13_ETA_0->SetBinContent(36,0.0); - S13_ETA_0->SetBinContent(37,0.0); - S13_ETA_0->SetBinContent(38,0.0); - S13_ETA_0->SetBinContent(39,0.0); - S13_ETA_0->SetBinContent(40,0.0); - S13_ETA_0->SetBinContent(41,0.0); - S13_ETA_0->SetBinContent(42,0.0); - S13_ETA_0->SetBinContent(43,0.0); - S13_ETA_0->SetBinContent(44,0.0); - S13_ETA_0->SetBinContent(45,0.0); - S13_ETA_0->SetBinContent(46,0.0); - S13_ETA_0->SetBinContent(47,0.0); - S13_ETA_0->SetBinContent(48,0.0); - S13_ETA_0->SetBinContent(49,0.0); - S13_ETA_0->SetBinContent(50,0.0); - S13_ETA_0->SetBinContent(51,0.0); // overflow - S13_ETA_0->SetEntries(506); - // Style - S13_ETA_0->SetLineColor(9); - S13_ETA_0->SetLineStyle(1); - S13_ETA_0->SetLineWidth(1); - S13_ETA_0->SetFillColor(9); - S13_ETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_26","mystack"); - stack->Add(S13_ETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#eta [ e ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_12.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_12.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_12.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_12.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_12.py deleted file mode 100644 index fec67054..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_12.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_12(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y13_ETA_0 - y13_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1544783,0.2317174,0.3861957,0.2626131,0.5561219,0.5097784,0.8650785,0.8650785,0.818735,0.5870175,0.633361,0.6642567,0.5870175,0.3398523,0.2162696,0.1390305,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y13_ETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\eta$ $[ e ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y13_ETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y13_ETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_12.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_12.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_12.eps') - -# Running! -if __name__ == '__main__': - selection_12() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_120.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_120.C deleted file mode 100644 index ee2f0c3c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_120.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_120() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo241","canvas_plotflow_tempo241",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S121_R_0 = new TH1F("S121_R_0","S121_R_0",50,0.0,10.0); - // Content - S121_R_0->SetBinContent(0,0.0); // underflow - S121_R_0->SetBinContent(1,0.3089566); - S121_R_0->SetBinContent(2,0.5870175); - S121_R_0->SetBinContent(3,0.7106002); - S121_R_0->SetBinContent(4,1.050452); - S121_R_0->SetBinContent(5,1.343961); - S121_R_0->SetBinContent(6,1.714709); - S121_R_0->SetBinContent(7,2.116353); - S121_R_0->SetBinContent(8,2.116353); - S121_R_0->SetBinContent(9,2.317174); - S121_R_0->SetBinContent(10,2.440757); - S121_R_0->SetBinContent(11,2.023666); - S121_R_0->SetBinContent(12,2.502548); - S121_R_0->SetBinContent(13,2.672475); - S121_R_0->SetBinContent(14,2.425309); - S121_R_0->SetBinContent(15,1.915531); - S121_R_0->SetBinContent(16,2.363518); - S121_R_0->SetBinContent(17,1.220379); - S121_R_0->SetBinContent(18,0.6179132); - S121_R_0->SetBinContent(19,0.2626131); - S121_R_0->SetBinContent(20,0.1081348); - S121_R_0->SetBinContent(21,0.04634349); - S121_R_0->SetBinContent(22,0.03089566); - S121_R_0->SetBinContent(23,0.0); - S121_R_0->SetBinContent(24,0.0); - S121_R_0->SetBinContent(25,0.0); - S121_R_0->SetBinContent(26,0.0); - S121_R_0->SetBinContent(27,0.0); - S121_R_0->SetBinContent(28,0.0); - S121_R_0->SetBinContent(29,0.0); - S121_R_0->SetBinContent(30,0.0); - S121_R_0->SetBinContent(31,0.0); - S121_R_0->SetBinContent(32,0.0); - S121_R_0->SetBinContent(33,0.0); - S121_R_0->SetBinContent(34,0.0); - S121_R_0->SetBinContent(35,0.0); - S121_R_0->SetBinContent(36,0.0); - S121_R_0->SetBinContent(37,0.0); - S121_R_0->SetBinContent(38,0.0); - S121_R_0->SetBinContent(39,0.0); - S121_R_0->SetBinContent(40,0.0); - S121_R_0->SetBinContent(41,0.0); - S121_R_0->SetBinContent(42,0.0); - S121_R_0->SetBinContent(43,0.0); - S121_R_0->SetBinContent(44,0.0); - S121_R_0->SetBinContent(45,0.0); - S121_R_0->SetBinContent(46,0.0); - S121_R_0->SetBinContent(47,0.0); - S121_R_0->SetBinContent(48,0.0); - S121_R_0->SetBinContent(49,0.0); - S121_R_0->SetBinContent(50,0.0); - S121_R_0->SetBinContent(51,0.0); // overflow - S121_R_0->SetEntries(2000); - // Style - S121_R_0->SetLineColor(9); - S121_R_0->SetLineStyle(1); - S121_R_0->SetLineWidth(1); - S121_R_0->SetFillColor(9); - S121_R_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_242","mystack"); - stack->Add(S121_R_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("R [ j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_120.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_120.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_120.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_120.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_120.py deleted file mode 100644 index 5713a042..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_120.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_120(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y121_R_0 - y121_R_0_weights = numpy.array([0.3089566,0.5870175,0.7106002,1.050452,1.343961,1.714709,2.116353,2.116353,2.317174,2.440757,2.023666,2.502548,2.672475,2.425309,1.915531,2.363518,1.220379,0.6179132,0.2626131,0.1081348,0.04634349,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y121_R_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$R$ $[ j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y121_R_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y121_R_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_120.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_120.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_120.eps') - -# Running! -if __name__ == '__main__': - selection_120() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_121.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_121.C deleted file mode 100644 index ab7d86b9..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_121.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_121() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo243","canvas_plotflow_tempo243",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S122_Y_0 = new TH1F("S122_Y_0","S122_Y_0",50,-8.0,8.0); - // Content - S122_Y_0->SetBinContent(0,0.0); // underflow - S122_Y_0->SetBinContent(1,0.0); - S122_Y_0->SetBinContent(2,0.0); - S122_Y_0->SetBinContent(3,0.0); - S122_Y_0->SetBinContent(4,0.0); - S122_Y_0->SetBinContent(5,0.0); - S122_Y_0->SetBinContent(6,0.0); - S122_Y_0->SetBinContent(7,0.0); - S122_Y_0->SetBinContent(8,0.0); - S122_Y_0->SetBinContent(9,0.0); - S122_Y_0->SetBinContent(10,0.0); - S122_Y_0->SetBinContent(11,0.0); - S122_Y_0->SetBinContent(12,0.0); - S122_Y_0->SetBinContent(13,0.0); - S122_Y_0->SetBinContent(14,0.0); - S122_Y_0->SetBinContent(15,0.06179132); - S122_Y_0->SetBinContent(16,0.1235826); - S122_Y_0->SetBinContent(17,0.1544783); - S122_Y_0->SetBinContent(18,0.4788827); - S122_Y_0->SetBinContent(19,0.8496306); - S122_Y_0->SetBinContent(20,1.112244); - S122_Y_0->SetBinContent(21,1.745605); - S122_Y_0->SetBinContent(22,1.884635); - S122_Y_0->SetBinContent(23,2.873296); - S122_Y_0->SetBinContent(24,2.888744); - S122_Y_0->SetBinContent(25,3.166805); - S122_Y_0->SetBinContent(26,3.336731); - S122_Y_0->SetBinContent(27,2.657027); - S122_Y_0->SetBinContent(28,2.425309); - S122_Y_0->SetBinContent(29,2.085457); - S122_Y_0->SetBinContent(30,1.85374); - S122_Y_0->SetBinContent(31,1.390305); - S122_Y_0->SetBinContent(32,0.818735); - S122_Y_0->SetBinContent(33,0.4325392); - S122_Y_0->SetBinContent(34,0.4479871); - S122_Y_0->SetBinContent(35,0.09268698); - S122_Y_0->SetBinContent(36,0.01544783); - S122_Y_0->SetBinContent(37,0.0); - S122_Y_0->SetBinContent(38,0.0); - S122_Y_0->SetBinContent(39,0.0); - S122_Y_0->SetBinContent(40,0.0); - S122_Y_0->SetBinContent(41,0.0); - S122_Y_0->SetBinContent(42,0.0); - S122_Y_0->SetBinContent(43,0.0); - S122_Y_0->SetBinContent(44,0.0); - S122_Y_0->SetBinContent(45,0.0); - S122_Y_0->SetBinContent(46,0.0); - S122_Y_0->SetBinContent(47,0.0); - S122_Y_0->SetBinContent(48,0.0); - S122_Y_0->SetBinContent(49,0.0); - S122_Y_0->SetBinContent(50,0.0); - S122_Y_0->SetBinContent(51,0.0); // overflow - S122_Y_0->SetEntries(2000); - // Style - S122_Y_0->SetLineColor(9); - S122_Y_0->SetLineStyle(1); - S122_Y_0->SetLineWidth(1); - S122_Y_0->SetFillColor(9); - S122_Y_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_244","mystack"); - stack->Add(S122_Y_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("y [ j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_121.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_121.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_121.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_121.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_121.py deleted file mode 100644 index 0d51ecb8..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_121.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_121(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y122_Y_0 - y122_Y_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06179132,0.1235826,0.1544783,0.4788827,0.8496306,1.112244,1.745605,1.884635,2.873296,2.888744,3.166805,3.336731,2.657027,2.425309,2.085457,1.85374,1.390305,0.818735,0.4325392,0.4479871,0.09268698,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y122_Y_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$y$ $[ j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y122_Y_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y122_Y_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_121.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_121.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_121.eps') - -# Running! -if __name__ == '__main__': - selection_121() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_122.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_122.C deleted file mode 100644 index 44cb1e77..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_122.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_122() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo245","canvas_plotflow_tempo245",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S123_BETA_0 = new TH1F("S123_BETA_0","S123_BETA_0",50,0.0,1.2); - // Content - S123_BETA_0->SetBinContent(0,0.0); // underflow - S123_BETA_0->SetBinContent(1,0.0); - S123_BETA_0->SetBinContent(2,0.0); - S123_BETA_0->SetBinContent(3,0.0); - S123_BETA_0->SetBinContent(4,0.0); - S123_BETA_0->SetBinContent(5,0.0); - S123_BETA_0->SetBinContent(6,0.0); - S123_BETA_0->SetBinContent(7,0.0); - S123_BETA_0->SetBinContent(8,0.0); - S123_BETA_0->SetBinContent(9,0.0); - S123_BETA_0->SetBinContent(10,0.0); - S123_BETA_0->SetBinContent(11,0.0); - S123_BETA_0->SetBinContent(12,0.0); - S123_BETA_0->SetBinContent(13,0.0); - S123_BETA_0->SetBinContent(14,0.0); - S123_BETA_0->SetBinContent(15,0.0); - S123_BETA_0->SetBinContent(16,0.0); - S123_BETA_0->SetBinContent(17,0.0); - S123_BETA_0->SetBinContent(18,0.0); - S123_BETA_0->SetBinContent(19,0.0); - S123_BETA_0->SetBinContent(20,0.0); - S123_BETA_0->SetBinContent(21,0.0); - S123_BETA_0->SetBinContent(22,0.0); - S123_BETA_0->SetBinContent(23,0.0); - S123_BETA_0->SetBinContent(24,0.0); - S123_BETA_0->SetBinContent(25,0.0); - S123_BETA_0->SetBinContent(26,0.0); - S123_BETA_0->SetBinContent(27,0.0); - S123_BETA_0->SetBinContent(28,0.0); - S123_BETA_0->SetBinContent(29,0.0); - S123_BETA_0->SetBinContent(30,0.0); - S123_BETA_0->SetBinContent(31,0.0); - S123_BETA_0->SetBinContent(32,0.0); - S123_BETA_0->SetBinContent(33,0.0); - S123_BETA_0->SetBinContent(34,0.0); - S123_BETA_0->SetBinContent(35,0.0); - S123_BETA_0->SetBinContent(36,0.0); - S123_BETA_0->SetBinContent(37,0.0); - S123_BETA_0->SetBinContent(38,0.0); - S123_BETA_0->SetBinContent(39,0.0); - S123_BETA_0->SetBinContent(40,0.0); - S123_BETA_0->SetBinContent(41,0.0); - S123_BETA_0->SetBinContent(42,30.89566); - S123_BETA_0->SetBinContent(43,0.0); - S123_BETA_0->SetBinContent(44,0.0); - S123_BETA_0->SetBinContent(45,0.0); - S123_BETA_0->SetBinContent(46,0.0); - S123_BETA_0->SetBinContent(47,0.0); - S123_BETA_0->SetBinContent(48,0.0); - S123_BETA_0->SetBinContent(49,0.0); - S123_BETA_0->SetBinContent(50,0.0); - S123_BETA_0->SetBinContent(51,0.0); // overflow - S123_BETA_0->SetEntries(2000); - // Style - S123_BETA_0->SetLineColor(9); - S123_BETA_0->SetLineStyle(1); - S123_BETA_0->SetLineWidth(1); - S123_BETA_0->SetFillColor(9); - S123_BETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_246","mystack"); - stack->Add(S123_BETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#beta [ j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_122.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_122.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_122.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_122.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_122.py deleted file mode 100644 index c574ec44..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_122.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_122(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1.2,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.012,0.036000000000000004,0.06,0.084,0.108,0.132,0.156,0.18,0.20400000000000001,0.228,0.252,0.276,0.3,0.324,0.34800000000000003,0.372,0.396,0.42,0.444,0.468,0.492,0.516,0.54,0.5640000000000001,0.588,0.612,0.636,0.66,0.684,0.708,0.732,0.756,0.78,0.804,0.8280000000000001,0.852,0.876,0.9,0.924,0.9480000000000001,0.972,0.996,1.02,1.044,1.068,1.092,1.116,1.1400000000000001,1.164,1.188]) - - # Creating weights for histo: y123_BETA_0 - y123_BETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.89566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y123_BETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\beta$ $[ j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y123_BETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y123_BETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_122.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_122.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_122.eps') - -# Running! -if __name__ == '__main__': - selection_122() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_123.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_123.C deleted file mode 100644 index 02ff4318..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_123.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_123() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo247","canvas_plotflow_tempo247",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S124_GAMMA_0 = new TH1F("S124_GAMMA_0","S124_GAMMA_0",50,1.0,100.0); - // Content - S124_GAMMA_0->SetBinContent(0,0.0); // underflow - S124_GAMMA_0->SetBinContent(1,15.72589); - S124_GAMMA_0->SetBinContent(2,0.0); - S124_GAMMA_0->SetBinContent(3,0.0); - S124_GAMMA_0->SetBinContent(4,0.0); - S124_GAMMA_0->SetBinContent(5,0.0); - S124_GAMMA_0->SetBinContent(6,0.0); - S124_GAMMA_0->SetBinContent(7,0.0); - S124_GAMMA_0->SetBinContent(8,0.0); - S124_GAMMA_0->SetBinContent(9,0.0); - S124_GAMMA_0->SetBinContent(10,0.0); - S124_GAMMA_0->SetBinContent(11,0.0); - S124_GAMMA_0->SetBinContent(12,0.0); - S124_GAMMA_0->SetBinContent(13,0.0); - S124_GAMMA_0->SetBinContent(14,0.0); - S124_GAMMA_0->SetBinContent(15,0.0); - S124_GAMMA_0->SetBinContent(16,0.0); - S124_GAMMA_0->SetBinContent(17,0.0); - S124_GAMMA_0->SetBinContent(18,0.0); - S124_GAMMA_0->SetBinContent(19,0.0); - S124_GAMMA_0->SetBinContent(20,0.0); - S124_GAMMA_0->SetBinContent(21,0.0); - S124_GAMMA_0->SetBinContent(22,0.0); - S124_GAMMA_0->SetBinContent(23,0.0); - S124_GAMMA_0->SetBinContent(24,0.0); - S124_GAMMA_0->SetBinContent(25,0.0); - S124_GAMMA_0->SetBinContent(26,0.0); - S124_GAMMA_0->SetBinContent(27,0.0); - S124_GAMMA_0->SetBinContent(28,0.0); - S124_GAMMA_0->SetBinContent(29,0.0); - S124_GAMMA_0->SetBinContent(30,0.0); - S124_GAMMA_0->SetBinContent(31,0.0); - S124_GAMMA_0->SetBinContent(32,0.0); - S124_GAMMA_0->SetBinContent(33,0.0); - S124_GAMMA_0->SetBinContent(34,0.0); - S124_GAMMA_0->SetBinContent(35,0.0); - S124_GAMMA_0->SetBinContent(36,0.0); - S124_GAMMA_0->SetBinContent(37,0.0); - S124_GAMMA_0->SetBinContent(38,0.0); - S124_GAMMA_0->SetBinContent(39,0.0); - S124_GAMMA_0->SetBinContent(40,0.0); - S124_GAMMA_0->SetBinContent(41,0.0); - S124_GAMMA_0->SetBinContent(42,0.0); - S124_GAMMA_0->SetBinContent(43,0.0); - S124_GAMMA_0->SetBinContent(44,0.0); - S124_GAMMA_0->SetBinContent(45,0.0); - S124_GAMMA_0->SetBinContent(46,0.0); - S124_GAMMA_0->SetBinContent(47,0.0); - S124_GAMMA_0->SetBinContent(48,0.0); - S124_GAMMA_0->SetBinContent(49,0.0); - S124_GAMMA_0->SetBinContent(50,0.0); - S124_GAMMA_0->SetBinContent(51,15.16977); // overflow - S124_GAMMA_0->SetEntries(2000); - // Style - S124_GAMMA_0->SetLineColor(9); - S124_GAMMA_0->SetLineStyle(1); - S124_GAMMA_0->SetLineWidth(1); - S124_GAMMA_0->SetFillColor(9); - S124_GAMMA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_248","mystack"); - stack->Add(S124_GAMMA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#gamma [ j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_123.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_123.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_123.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_123.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_123.py deleted file mode 100644 index 95ca7153..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_123.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_123(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(1.0,100.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([1.99,3.9699999999999998,5.95,7.93,9.91,11.89,13.87,15.85,17.83,19.81,21.79,23.77,25.75,27.73,29.71,31.69,33.67,35.65,37.63,39.61,41.589999999999996,43.57,45.55,47.53,49.51,51.49,53.47,55.45,57.43,59.41,61.39,63.37,65.35,67.33,69.31,71.29,73.27,75.25,77.23,79.21,81.19,83.17,85.15,87.13,89.11,91.09,93.07,95.05,97.03,99.01]) - - # Creating weights for histo: y124_GAMMA_0 - y124_GAMMA_0_weights = numpy.array([15.72589,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y124_GAMMA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\gamma$ $[ j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ j$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y124_GAMMA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y124_GAMMA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_123.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_123.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_123.eps') - -# Running! -if __name__ == '__main__': - selection_123() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_124.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_124.C deleted file mode 100644 index 7ce9afd3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_124.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_124() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo249","canvas_plotflow_tempo249",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S125_PT_0 = new TH1F("S125_PT_0","S125_PT_0",50,0.0,1000.0); - // Content - S125_PT_0->SetBinContent(0,0.0); // underflow - S125_PT_0->SetBinContent(1,0.0); - S125_PT_0->SetBinContent(2,1.235826); - S125_PT_0->SetBinContent(3,4.927858); - S125_PT_0->SetBinContent(4,4.418079); - S125_PT_0->SetBinContent(5,2.301727); - S125_PT_0->SetBinContent(6,1.112244); - S125_PT_0->SetBinContent(7,0.6797045); - S125_PT_0->SetBinContent(8,0.4016436); - S125_PT_0->SetBinContent(9,0.1235826); - S125_PT_0->SetBinContent(10,0.1235826); - S125_PT_0->SetBinContent(11,0.06179132); - S125_PT_0->SetBinContent(12,0.01544783); - S125_PT_0->SetBinContent(13,0.0); - S125_PT_0->SetBinContent(14,0.01544783); - S125_PT_0->SetBinContent(15,0.01544783); - S125_PT_0->SetBinContent(16,0.01544783); - S125_PT_0->SetBinContent(17,0.0); - S125_PT_0->SetBinContent(18,0.0); - S125_PT_0->SetBinContent(19,0.0); - S125_PT_0->SetBinContent(20,0.0); - S125_PT_0->SetBinContent(21,0.0); - S125_PT_0->SetBinContent(22,0.0); - S125_PT_0->SetBinContent(23,0.0); - S125_PT_0->SetBinContent(24,0.0); - S125_PT_0->SetBinContent(25,0.0); - S125_PT_0->SetBinContent(26,0.0); - S125_PT_0->SetBinContent(27,0.0); - S125_PT_0->SetBinContent(28,0.0); - S125_PT_0->SetBinContent(29,0.0); - S125_PT_0->SetBinContent(30,0.0); - S125_PT_0->SetBinContent(31,0.0); - S125_PT_0->SetBinContent(32,0.0); - S125_PT_0->SetBinContent(33,0.0); - S125_PT_0->SetBinContent(34,0.0); - S125_PT_0->SetBinContent(35,0.0); - S125_PT_0->SetBinContent(36,0.0); - S125_PT_0->SetBinContent(37,0.0); - S125_PT_0->SetBinContent(38,0.0); - S125_PT_0->SetBinContent(39,0.0); - S125_PT_0->SetBinContent(40,0.0); - S125_PT_0->SetBinContent(41,0.0); - S125_PT_0->SetBinContent(42,0.0); - S125_PT_0->SetBinContent(43,0.0); - S125_PT_0->SetBinContent(44,0.0); - S125_PT_0->SetBinContent(45,0.0); - S125_PT_0->SetBinContent(46,0.0); - S125_PT_0->SetBinContent(47,0.0); - S125_PT_0->SetBinContent(48,0.0); - S125_PT_0->SetBinContent(49,0.0); - S125_PT_0->SetBinContent(50,0.0); - S125_PT_0->SetBinContent(51,0.0); // overflow - S125_PT_0->SetEntries(1000); - // Style - S125_PT_0->SetLineColor(9); - S125_PT_0->SetLineStyle(1); - S125_PT_0->SetLineWidth(1); - S125_PT_0->SetFillColor(9); - S125_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_250","mystack"); - stack->Add(S125_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ j_{1} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_124.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_124.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_124.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_124.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_124.py deleted file mode 100644 index a7a62088..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_124.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_124(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y125_PT_0 - y125_PT_0_weights = numpy.array([0.0,1.235826,4.927858,4.418079,2.301727,1.112244,0.6797045,0.4016436,0.1235826,0.1235826,0.06179132,0.01544783,0.0,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y125_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ j_{1} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y125_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y125_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_124.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_124.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_124.eps') - -# Running! -if __name__ == '__main__': - selection_124() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_125.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_125.C deleted file mode 100644 index cc766bf9..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_125.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_125() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo251","canvas_plotflow_tempo251",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S126_ETA_0 = new TH1F("S126_ETA_0","S126_ETA_0",50,-8.0,8.0); - // Content - S126_ETA_0->SetBinContent(0,0.0); // underflow - S126_ETA_0->SetBinContent(1,0.0); - S126_ETA_0->SetBinContent(2,0.0); - S126_ETA_0->SetBinContent(3,0.0); - S126_ETA_0->SetBinContent(4,0.0); - S126_ETA_0->SetBinContent(5,0.0); - S126_ETA_0->SetBinContent(6,0.0); - S126_ETA_0->SetBinContent(7,0.0); - S126_ETA_0->SetBinContent(8,0.0); - S126_ETA_0->SetBinContent(9,0.0); - S126_ETA_0->SetBinContent(10,0.0); - S126_ETA_0->SetBinContent(11,0.0); - S126_ETA_0->SetBinContent(12,0.0); - S126_ETA_0->SetBinContent(13,0.0); - S126_ETA_0->SetBinContent(14,0.0); - S126_ETA_0->SetBinContent(15,0.01544783); - S126_ETA_0->SetBinContent(16,0.0); - S126_ETA_0->SetBinContent(17,0.04634349); - S126_ETA_0->SetBinContent(18,0.185374); - S126_ETA_0->SetBinContent(19,0.3707479); - S126_ETA_0->SetBinContent(20,0.6024654); - S126_ETA_0->SetBinContent(21,0.8959741); - S126_ETA_0->SetBinContent(22,0.8650785); - S126_ETA_0->SetBinContent(23,1.498439); - S126_ETA_0->SetBinContent(24,1.513887); - S126_ETA_0->SetBinContent(25,1.622022); - S126_ETA_0->SetBinContent(26,1.652918); - S126_ETA_0->SetBinContent(27,1.436648); - S126_ETA_0->SetBinContent(28,1.390305); - S126_ETA_0->SetBinContent(29,1.189483); - S126_ETA_0->SetBinContent(30,0.818735); - S126_ETA_0->SetBinContent(31,0.6797045); - S126_ETA_0->SetBinContent(32,0.3553001); - S126_ETA_0->SetBinContent(33,0.1699261); - S126_ETA_0->SetBinContent(34,0.1235826); - S126_ETA_0->SetBinContent(35,0.01544783); - S126_ETA_0->SetBinContent(36,0.0); - S126_ETA_0->SetBinContent(37,0.0); - S126_ETA_0->SetBinContent(38,0.0); - S126_ETA_0->SetBinContent(39,0.0); - S126_ETA_0->SetBinContent(40,0.0); - S126_ETA_0->SetBinContent(41,0.0); - S126_ETA_0->SetBinContent(42,0.0); - S126_ETA_0->SetBinContent(43,0.0); - S126_ETA_0->SetBinContent(44,0.0); - S126_ETA_0->SetBinContent(45,0.0); - S126_ETA_0->SetBinContent(46,0.0); - S126_ETA_0->SetBinContent(47,0.0); - S126_ETA_0->SetBinContent(48,0.0); - S126_ETA_0->SetBinContent(49,0.0); - S126_ETA_0->SetBinContent(50,0.0); - S126_ETA_0->SetBinContent(51,0.0); // overflow - S126_ETA_0->SetEntries(1000); - // Style - S126_ETA_0->SetLineColor(9); - S126_ETA_0->SetLineStyle(1); - S126_ETA_0->SetLineWidth(1); - S126_ETA_0->SetFillColor(9); - S126_ETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_252","mystack"); - stack->Add(S126_ETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#eta [ j_{1} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_125.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_125.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_125.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_125.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_125.py deleted file mode 100644 index 58448f8f..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_125.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_125(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y126_ETA_0 - y126_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.04634349,0.185374,0.3707479,0.6024654,0.8959741,0.8650785,1.498439,1.513887,1.622022,1.652918,1.436648,1.390305,1.189483,0.818735,0.6797045,0.3553001,0.1699261,0.1235826,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y126_ETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\eta$ $[ j_{1} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y126_ETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y126_ETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_125.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_125.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_125.eps') - -# Running! -if __name__ == '__main__': - selection_125() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_126.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_126.C deleted file mode 100644 index 34688b08..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_126.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_126() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo253","canvas_plotflow_tempo253",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S127_PHI_0 = new TH1F("S127_PHI_0","S127_PHI_0",32,-3.2,3.2); - // Content - S127_PHI_0->SetBinContent(0,0.0); // underflow - S127_PHI_0->SetBinContent(1,0.2471653); - S127_PHI_0->SetBinContent(2,0.5715697); - S127_PHI_0->SetBinContent(3,0.4943306); - S127_PHI_0->SetBinContent(4,0.540674); - S127_PHI_0->SetBinContent(5,0.4479871); - S127_PHI_0->SetBinContent(6,0.3398523); - S127_PHI_0->SetBinContent(7,0.6024654); - S127_PHI_0->SetBinContent(8,0.633361); - S127_PHI_0->SetBinContent(9,0.4788827); - S127_PHI_0->SetBinContent(10,0.4788827); - S127_PHI_0->SetBinContent(11,0.4325392); - S127_PHI_0->SetBinContent(12,0.4634349); - S127_PHI_0->SetBinContent(13,0.4943306); - S127_PHI_0->SetBinContent(14,0.5252262); - S127_PHI_0->SetBinContent(15,0.3553001); - S127_PHI_0->SetBinContent(16,0.4943306); - S127_PHI_0->SetBinContent(17,0.4634349); - S127_PHI_0->SetBinContent(18,0.4016436); - S127_PHI_0->SetBinContent(19,0.4325392); - S127_PHI_0->SetBinContent(20,0.3861957); - S127_PHI_0->SetBinContent(21,0.4170914); - S127_PHI_0->SetBinContent(22,0.5252262); - S127_PHI_0->SetBinContent(23,0.5715697); - S127_PHI_0->SetBinContent(24,0.4788827); - S127_PHI_0->SetBinContent(25,0.4634349); - S127_PHI_0->SetBinContent(26,0.4788827); - S127_PHI_0->SetBinContent(27,0.5870175); - S127_PHI_0->SetBinContent(28,0.5561219); - S127_PHI_0->SetBinContent(29,0.5715697); - S127_PHI_0->SetBinContent(30,0.6179132); - S127_PHI_0->SetBinContent(31,0.3861957); - S127_PHI_0->SetBinContent(32,0.5097784); - S127_PHI_0->SetBinContent(33,0.0); // overflow - S127_PHI_0->SetEntries(1000); - // Style - S127_PHI_0->SetLineColor(9); - S127_PHI_0->SetLineStyle(1); - S127_PHI_0->SetLineWidth(1); - S127_PHI_0->SetFillColor(9); - S127_PHI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_254","mystack"); - stack->Add(S127_PHI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#phi [ j_{1} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_126.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_126.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_126.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_126.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_126.py deleted file mode 100644 index 731e3905..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_126.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_126(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) - - # Creating weights for histo: y127_PHI_0 - y127_PHI_0_weights = numpy.array([0.2471653,0.5715697,0.4943306,0.540674,0.4479871,0.3398523,0.6024654,0.633361,0.4788827,0.4788827,0.4325392,0.4634349,0.4943306,0.5252262,0.3553001,0.4943306,0.4634349,0.4016436,0.4325392,0.3861957,0.4170914,0.5252262,0.5715697,0.4788827,0.4634349,0.4788827,0.5870175,0.5561219,0.5715697,0.6179132,0.3861957,0.5097784]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y127_PHI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\phi$ $[ j_{1} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y127_PHI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y127_PHI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_126.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_126.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_126.eps') - -# Running! -if __name__ == '__main__': - selection_126() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_127.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_127.C deleted file mode 100644 index 6ed45422..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_127.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_127() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo255","canvas_plotflow_tempo255",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S128_E_0 = new TH1F("S128_E_0","S128_E_0",50,0.0,2000.0); - // Content - S128_E_0->SetBinContent(0,0.0); // underflow - S128_E_0->SetBinContent(1,0.2626131); - S128_E_0->SetBinContent(2,5.205919); - S128_E_0->SetBinContent(3,3.861957); - S128_E_0->SetBinContent(4,2.409861); - S128_E_0->SetBinContent(5,1.359409); - S128_E_0->SetBinContent(6,0.7723915); - S128_E_0->SetBinContent(7,0.4325392); - S128_E_0->SetBinContent(8,0.4016436); - S128_E_0->SetBinContent(9,0.2471653); - S128_E_0->SetBinContent(10,0.1081348); - S128_E_0->SetBinContent(11,0.1390305); - S128_E_0->SetBinContent(12,0.1081348); - S128_E_0->SetBinContent(13,0.04634349); - S128_E_0->SetBinContent(14,0.0); - S128_E_0->SetBinContent(15,0.03089566); - S128_E_0->SetBinContent(16,0.03089566); - S128_E_0->SetBinContent(17,0.0); - S128_E_0->SetBinContent(18,0.0); - S128_E_0->SetBinContent(19,0.0); - S128_E_0->SetBinContent(20,0.03089566); - S128_E_0->SetBinContent(21,0.0); - S128_E_0->SetBinContent(22,0.0); - S128_E_0->SetBinContent(23,0.0); - S128_E_0->SetBinContent(24,0.0); - S128_E_0->SetBinContent(25,0.0); - S128_E_0->SetBinContent(26,0.0); - S128_E_0->SetBinContent(27,0.0); - S128_E_0->SetBinContent(28,0.0); - S128_E_0->SetBinContent(29,0.0); - S128_E_0->SetBinContent(30,0.0); - S128_E_0->SetBinContent(31,0.0); - S128_E_0->SetBinContent(32,0.0); - S128_E_0->SetBinContent(33,0.0); - S128_E_0->SetBinContent(34,0.0); - S128_E_0->SetBinContent(35,0.0); - S128_E_0->SetBinContent(36,0.0); - S128_E_0->SetBinContent(37,0.0); - S128_E_0->SetBinContent(38,0.0); - S128_E_0->SetBinContent(39,0.0); - S128_E_0->SetBinContent(40,0.0); - S128_E_0->SetBinContent(41,0.0); - S128_E_0->SetBinContent(42,0.0); - S128_E_0->SetBinContent(43,0.0); - S128_E_0->SetBinContent(44,0.0); - S128_E_0->SetBinContent(45,0.0); - S128_E_0->SetBinContent(46,0.0); - S128_E_0->SetBinContent(47,0.0); - S128_E_0->SetBinContent(48,0.0); - S128_E_0->SetBinContent(49,0.0); - S128_E_0->SetBinContent(50,0.0); - S128_E_0->SetBinContent(51,0.0); // overflow - S128_E_0->SetEntries(1000); - // Style - S128_E_0->SetLineColor(9); - S128_E_0->SetLineStyle(1); - S128_E_0->SetLineWidth(1); - S128_E_0->SetFillColor(9); - S128_E_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_256","mystack"); - stack->Add(S128_E_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E [ j_{1} ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_127.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_127.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_127.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_127.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_127.py deleted file mode 100644 index 0740cacb..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_127.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_127(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y128_E_0 - y128_E_0_weights = numpy.array([0.2626131,5.205919,3.861957,2.409861,1.359409,0.7723915,0.4325392,0.4016436,0.2471653,0.1081348,0.1390305,0.1081348,0.04634349,0.0,0.03089566,0.03089566,0.0,0.0,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y128_E_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E$ $[ j_{1} ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y128_E_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y128_E_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_127.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_127.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_127.eps') - -# Running! -if __name__ == '__main__': - selection_127() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_128.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_128.C deleted file mode 100644 index 35dfda8c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_128.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_128() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo257","canvas_plotflow_tempo257",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S129_MT_MET_0 = new TH1F("S129_MT_MET_0","S129_MT_MET_0",50,0.0,1000.0); - // Content - S129_MT_MET_0->SetBinContent(0,0.0); // underflow - S129_MT_MET_0->SetBinContent(1,1.467544); - S129_MT_MET_0->SetBinContent(2,1.63747); - S129_MT_MET_0->SetBinContent(3,1.745605); - S129_MT_MET_0->SetBinContent(4,1.915531); - S129_MT_MET_0->SetBinContent(5,2.116353); - S129_MT_MET_0->SetBinContent(6,1.85374); - S129_MT_MET_0->SetBinContent(7,1.204931); - S129_MT_MET_0->SetBinContent(8,1.019557); - S129_MT_MET_0->SetBinContent(9,0.633361); - S129_MT_MET_0->SetBinContent(10,0.726048); - S129_MT_MET_0->SetBinContent(11,0.3244044); - S129_MT_MET_0->SetBinContent(12,0.185374); - S129_MT_MET_0->SetBinContent(13,0.185374); - S129_MT_MET_0->SetBinContent(14,0.1235826); - S129_MT_MET_0->SetBinContent(15,0.07723915); - S129_MT_MET_0->SetBinContent(16,0.1081348); - S129_MT_MET_0->SetBinContent(17,0.03089566); - S129_MT_MET_0->SetBinContent(18,0.03089566); - S129_MT_MET_0->SetBinContent(19,0.03089566); - S129_MT_MET_0->SetBinContent(20,0.0); - S129_MT_MET_0->SetBinContent(21,0.0); - S129_MT_MET_0->SetBinContent(22,0.01544783); - S129_MT_MET_0->SetBinContent(23,0.0); - S129_MT_MET_0->SetBinContent(24,0.0); - S129_MT_MET_0->SetBinContent(25,0.01544783); - S129_MT_MET_0->SetBinContent(26,0.0); - S129_MT_MET_0->SetBinContent(27,0.0); - S129_MT_MET_0->SetBinContent(28,0.0); - S129_MT_MET_0->SetBinContent(29,0.0); - S129_MT_MET_0->SetBinContent(30,0.0); - S129_MT_MET_0->SetBinContent(31,0.0); - S129_MT_MET_0->SetBinContent(32,0.0); - S129_MT_MET_0->SetBinContent(33,0.0); - S129_MT_MET_0->SetBinContent(34,0.0); - S129_MT_MET_0->SetBinContent(35,0.0); - S129_MT_MET_0->SetBinContent(36,0.0); - S129_MT_MET_0->SetBinContent(37,0.0); - S129_MT_MET_0->SetBinContent(38,0.0); - S129_MT_MET_0->SetBinContent(39,0.0); - S129_MT_MET_0->SetBinContent(40,0.0); - S129_MT_MET_0->SetBinContent(41,0.0); - S129_MT_MET_0->SetBinContent(42,0.0); - S129_MT_MET_0->SetBinContent(43,0.0); - S129_MT_MET_0->SetBinContent(44,0.0); - S129_MT_MET_0->SetBinContent(45,0.0); - S129_MT_MET_0->SetBinContent(46,0.0); - S129_MT_MET_0->SetBinContent(47,0.0); - S129_MT_MET_0->SetBinContent(48,0.0); - S129_MT_MET_0->SetBinContent(49,0.0); - S129_MT_MET_0->SetBinContent(50,0.0); - S129_MT_MET_0->SetBinContent(51,0.0); // overflow - S129_MT_MET_0->SetEntries(1000); - // Style - S129_MT_MET_0->SetLineColor(9); - S129_MT_MET_0->SetLineStyle(1); - S129_MT_MET_0->SetLineWidth(1); - S129_MT_MET_0->SetFillColor(9); - S129_MT_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_258","mystack"); - stack->Add(S129_MT_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ j_{1} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_128.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_128.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_128.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_128.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_128.py deleted file mode 100644 index 7ffaee9c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_128.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_128(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y129_MT_MET_0 - y129_MT_MET_0_weights = numpy.array([1.467544,1.63747,1.745605,1.915531,2.116353,1.85374,1.204931,1.019557,0.633361,0.726048,0.3244044,0.185374,0.185374,0.1235826,0.07723915,0.1081348,0.03089566,0.03089566,0.03089566,0.0,0.0,0.01544783,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y129_MT_MET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ j_{1} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y129_MT_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y129_MT_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_128.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_128.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_128.eps') - -# Running! -if __name__ == '__main__': - selection_128() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_129.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_129.C deleted file mode 100644 index c2938a87..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_129.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_129() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo259","canvas_plotflow_tempo259",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S130_PT_0 = new TH1F("S130_PT_0","S130_PT_0",50,0.0,1000.0); - // Content - S130_PT_0->SetBinContent(0,0.0); // underflow - S130_PT_0->SetBinContent(1,0.0); - S130_PT_0->SetBinContent(2,10.22646); - S130_PT_0->SetBinContent(3,3.614792); - S130_PT_0->SetBinContent(4,1.081348); - S130_PT_0->SetBinContent(5,0.3089566); - S130_PT_0->SetBinContent(6,0.1544783); - S130_PT_0->SetBinContent(7,0.01544783); - S130_PT_0->SetBinContent(8,0.04634349); - S130_PT_0->SetBinContent(9,0.0); - S130_PT_0->SetBinContent(10,0.0); - S130_PT_0->SetBinContent(11,0.0); - S130_PT_0->SetBinContent(12,0.0); - S130_PT_0->SetBinContent(13,0.0); - S130_PT_0->SetBinContent(14,0.0); - S130_PT_0->SetBinContent(15,0.0); - S130_PT_0->SetBinContent(16,0.0); - S130_PT_0->SetBinContent(17,0.0); - S130_PT_0->SetBinContent(18,0.0); - S130_PT_0->SetBinContent(19,0.0); - S130_PT_0->SetBinContent(20,0.0); - S130_PT_0->SetBinContent(21,0.0); - S130_PT_0->SetBinContent(22,0.0); - S130_PT_0->SetBinContent(23,0.0); - S130_PT_0->SetBinContent(24,0.0); - S130_PT_0->SetBinContent(25,0.0); - S130_PT_0->SetBinContent(26,0.0); - S130_PT_0->SetBinContent(27,0.0); - S130_PT_0->SetBinContent(28,0.0); - S130_PT_0->SetBinContent(29,0.0); - S130_PT_0->SetBinContent(30,0.0); - S130_PT_0->SetBinContent(31,0.0); - S130_PT_0->SetBinContent(32,0.0); - S130_PT_0->SetBinContent(33,0.0); - S130_PT_0->SetBinContent(34,0.0); - S130_PT_0->SetBinContent(35,0.0); - S130_PT_0->SetBinContent(36,0.0); - S130_PT_0->SetBinContent(37,0.0); - S130_PT_0->SetBinContent(38,0.0); - S130_PT_0->SetBinContent(39,0.0); - S130_PT_0->SetBinContent(40,0.0); - S130_PT_0->SetBinContent(41,0.0); - S130_PT_0->SetBinContent(42,0.0); - S130_PT_0->SetBinContent(43,0.0); - S130_PT_0->SetBinContent(44,0.0); - S130_PT_0->SetBinContent(45,0.0); - S130_PT_0->SetBinContent(46,0.0); - S130_PT_0->SetBinContent(47,0.0); - S130_PT_0->SetBinContent(48,0.0); - S130_PT_0->SetBinContent(49,0.0); - S130_PT_0->SetBinContent(50,0.0); - S130_PT_0->SetBinContent(51,0.0); // overflow - S130_PT_0->SetEntries(1000); - // Style - S130_PT_0->SetLineColor(9); - S130_PT_0->SetLineStyle(1); - S130_PT_0->SetLineWidth(1); - S130_PT_0->SetFillColor(9); - S130_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_260","mystack"); - stack->Add(S130_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ j_{2} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_129.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_129.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_129.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_129.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_129.py deleted file mode 100644 index 0685c81d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_129.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_129(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y130_PT_0 - y130_PT_0_weights = numpy.array([0.0,10.22646,3.614792,1.081348,0.3089566,0.1544783,0.01544783,0.04634349,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y130_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ j_{2} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y130_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y130_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_129.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_129.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_129.eps') - -# Running! -if __name__ == '__main__': - selection_129() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_13.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_13.C deleted file mode 100644 index 53ed2c1a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_13.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_13() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo27","canvas_plotflow_tempo27",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S14_ABSETA_0 = new TH1F("S14_ABSETA_0","S14_ABSETA_0",50,0.0,8.0); - // Content - S14_ABSETA_0->SetBinContent(0,0.0); // underflow - S14_ABSETA_0->SetBinContent(1,0.8805263); - S14_ABSETA_0->SetBinContent(2,0.8032872); - S14_ABSETA_0->SetBinContent(3,0.6488089); - S14_ABSETA_0->SetBinContent(4,0.8032872); - S14_ABSETA_0->SetBinContent(5,0.5252262); - S14_ABSETA_0->SetBinContent(6,0.6179132); - S14_ABSETA_0->SetBinContent(7,0.5870175); - S14_ABSETA_0->SetBinContent(8,0.633361); - S14_ABSETA_0->SetBinContent(9,0.4016436); - S14_ABSETA_0->SetBinContent(10,0.4479871); - S14_ABSETA_0->SetBinContent(11,0.3398523); - S14_ABSETA_0->SetBinContent(12,0.3861957); - S14_ABSETA_0->SetBinContent(13,0.1699261); - S14_ABSETA_0->SetBinContent(14,0.2780609); - S14_ABSETA_0->SetBinContent(15,0.1699261); - S14_ABSETA_0->SetBinContent(16,0.1235826); - S14_ABSETA_0->SetBinContent(17,0.0); - S14_ABSETA_0->SetBinContent(18,0.0); - S14_ABSETA_0->SetBinContent(19,0.0); - S14_ABSETA_0->SetBinContent(20,0.0); - S14_ABSETA_0->SetBinContent(21,0.0); - S14_ABSETA_0->SetBinContent(22,0.0); - S14_ABSETA_0->SetBinContent(23,0.0); - S14_ABSETA_0->SetBinContent(24,0.0); - S14_ABSETA_0->SetBinContent(25,0.0); - S14_ABSETA_0->SetBinContent(26,0.0); - S14_ABSETA_0->SetBinContent(27,0.0); - S14_ABSETA_0->SetBinContent(28,0.0); - S14_ABSETA_0->SetBinContent(29,0.0); - S14_ABSETA_0->SetBinContent(30,0.0); - S14_ABSETA_0->SetBinContent(31,0.0); - S14_ABSETA_0->SetBinContent(32,0.0); - S14_ABSETA_0->SetBinContent(33,0.0); - S14_ABSETA_0->SetBinContent(34,0.0); - S14_ABSETA_0->SetBinContent(35,0.0); - S14_ABSETA_0->SetBinContent(36,0.0); - S14_ABSETA_0->SetBinContent(37,0.0); - S14_ABSETA_0->SetBinContent(38,0.0); - S14_ABSETA_0->SetBinContent(39,0.0); - S14_ABSETA_0->SetBinContent(40,0.0); - S14_ABSETA_0->SetBinContent(41,0.0); - S14_ABSETA_0->SetBinContent(42,0.0); - S14_ABSETA_0->SetBinContent(43,0.0); - S14_ABSETA_0->SetBinContent(44,0.0); - S14_ABSETA_0->SetBinContent(45,0.0); - S14_ABSETA_0->SetBinContent(46,0.0); - S14_ABSETA_0->SetBinContent(47,0.0); - S14_ABSETA_0->SetBinContent(48,0.0); - S14_ABSETA_0->SetBinContent(49,0.0); - S14_ABSETA_0->SetBinContent(50,0.0); - S14_ABSETA_0->SetBinContent(51,0.0); // overflow - S14_ABSETA_0->SetEntries(506); - // Style - S14_ABSETA_0->SetLineColor(9); - S14_ABSETA_0->SetLineStyle(1); - S14_ABSETA_0->SetLineWidth(1); - S14_ABSETA_0->SetFillColor(9); - S14_ABSETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_28","mystack"); - stack->Add(S14_ABSETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("|#eta| [ e ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_13.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_13.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_13.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_13.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_13.py deleted file mode 100644 index 9d39d421..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_13.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_13(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.08,0.24,0.4,0.56,0.72,0.88,1.04,1.2,1.36,1.52,1.68,1.84,2.0,2.16,2.32,2.48,2.64,2.8000000000000003,2.96,3.12,3.2800000000000002,3.44,3.6,3.7600000000000002,3.92,4.08,4.24,4.4,4.5600000000000005,4.72,4.88,5.04,5.2,5.36,5.5200000000000005,5.68,5.84,6.0,6.16,6.32,6.48,6.640000000000001,6.8,6.96,7.12,7.28,7.44,7.6000000000000005,7.76,7.92]) - - # Creating weights for histo: y14_ABSETA_0 - y14_ABSETA_0_weights = numpy.array([0.8805263,0.8032872,0.6488089,0.8032872,0.5252262,0.6179132,0.5870175,0.633361,0.4016436,0.4479871,0.3398523,0.3861957,0.1699261,0.2780609,0.1699261,0.1235826,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y14_ABSETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$|\eta|$ $[ e ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y14_ABSETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y14_ABSETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_13.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_13.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_13.eps') - -# Running! -if __name__ == '__main__': - selection_13() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_130.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_130.C deleted file mode 100644 index 8928f863..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_130.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_130() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo261","canvas_plotflow_tempo261",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S131_ETA_0 = new TH1F("S131_ETA_0","S131_ETA_0",50,-8.0,8.0); - // Content - S131_ETA_0->SetBinContent(0,0.0); // underflow - S131_ETA_0->SetBinContent(1,0.0); - S131_ETA_0->SetBinContent(2,0.0); - S131_ETA_0->SetBinContent(3,0.0); - S131_ETA_0->SetBinContent(4,0.0); - S131_ETA_0->SetBinContent(5,0.0); - S131_ETA_0->SetBinContent(6,0.0); - S131_ETA_0->SetBinContent(7,0.0); - S131_ETA_0->SetBinContent(8,0.0); - S131_ETA_0->SetBinContent(9,0.0); - S131_ETA_0->SetBinContent(10,0.0); - S131_ETA_0->SetBinContent(11,0.0); - S131_ETA_0->SetBinContent(12,0.0); - S131_ETA_0->SetBinContent(13,0.0); - S131_ETA_0->SetBinContent(14,0.0); - S131_ETA_0->SetBinContent(15,0.04634349); - S131_ETA_0->SetBinContent(16,0.1235826); - S131_ETA_0->SetBinContent(17,0.1081348); - S131_ETA_0->SetBinContent(18,0.2935088); - S131_ETA_0->SetBinContent(19,0.4788827); - S131_ETA_0->SetBinContent(20,0.5097784); - S131_ETA_0->SetBinContent(21,0.8496306); - S131_ETA_0->SetBinContent(22,1.019557); - S131_ETA_0->SetBinContent(23,1.374857); - S131_ETA_0->SetBinContent(24,1.374857); - S131_ETA_0->SetBinContent(25,1.544783); - S131_ETA_0->SetBinContent(26,1.683813); - S131_ETA_0->SetBinContent(27,1.220379); - S131_ETA_0->SetBinContent(28,1.035005); - S131_ETA_0->SetBinContent(29,0.8959741); - S131_ETA_0->SetBinContent(30,1.035005); - S131_ETA_0->SetBinContent(31,0.7106002); - S131_ETA_0->SetBinContent(32,0.4634349); - S131_ETA_0->SetBinContent(33,0.2626131); - S131_ETA_0->SetBinContent(34,0.3244044); - S131_ETA_0->SetBinContent(35,0.07723915); - S131_ETA_0->SetBinContent(36,0.01544783); - S131_ETA_0->SetBinContent(37,0.0); - S131_ETA_0->SetBinContent(38,0.0); - S131_ETA_0->SetBinContent(39,0.0); - S131_ETA_0->SetBinContent(40,0.0); - S131_ETA_0->SetBinContent(41,0.0); - S131_ETA_0->SetBinContent(42,0.0); - S131_ETA_0->SetBinContent(43,0.0); - S131_ETA_0->SetBinContent(44,0.0); - S131_ETA_0->SetBinContent(45,0.0); - S131_ETA_0->SetBinContent(46,0.0); - S131_ETA_0->SetBinContent(47,0.0); - S131_ETA_0->SetBinContent(48,0.0); - S131_ETA_0->SetBinContent(49,0.0); - S131_ETA_0->SetBinContent(50,0.0); - S131_ETA_0->SetBinContent(51,0.0); // overflow - S131_ETA_0->SetEntries(1000); - // Style - S131_ETA_0->SetLineColor(9); - S131_ETA_0->SetLineStyle(1); - S131_ETA_0->SetLineWidth(1); - S131_ETA_0->SetFillColor(9); - S131_ETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_262","mystack"); - stack->Add(S131_ETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#eta [ j_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_130.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_130.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_130.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_130.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_130.py deleted file mode 100644 index e1b47be0..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_130.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_130(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y131_ETA_0 - y131_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04634349,0.1235826,0.1081348,0.2935088,0.4788827,0.5097784,0.8496306,1.019557,1.374857,1.374857,1.544783,1.683813,1.220379,1.035005,0.8959741,1.035005,0.7106002,0.4634349,0.2626131,0.3244044,0.07723915,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y131_ETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\eta$ $[ j_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y131_ETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y131_ETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_130.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_130.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_130.eps') - -# Running! -if __name__ == '__main__': - selection_130() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_131.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_131.C deleted file mode 100644 index 28d5e803..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_131.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_131() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo263","canvas_plotflow_tempo263",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S132_PHI_0 = new TH1F("S132_PHI_0","S132_PHI_0",32,-3.2,3.2); - // Content - S132_PHI_0->SetBinContent(0,0.0); // underflow - S132_PHI_0->SetBinContent(1,0.4479871); - S132_PHI_0->SetBinContent(2,0.4479871); - S132_PHI_0->SetBinContent(3,0.4170914); - S132_PHI_0->SetBinContent(4,0.3707479); - S132_PHI_0->SetBinContent(5,0.4170914); - S132_PHI_0->SetBinContent(6,0.4016436); - S132_PHI_0->SetBinContent(7,0.6179132); - S132_PHI_0->SetBinContent(8,0.5870175); - S132_PHI_0->SetBinContent(9,0.4943306); - S132_PHI_0->SetBinContent(10,0.4634349); - S132_PHI_0->SetBinContent(11,0.5097784); - S132_PHI_0->SetBinContent(12,0.4170914); - S132_PHI_0->SetBinContent(13,0.3553001); - S132_PHI_0->SetBinContent(14,0.4634349); - S132_PHI_0->SetBinContent(15,0.5252262); - S132_PHI_0->SetBinContent(16,0.4788827); - S132_PHI_0->SetBinContent(17,0.3861957); - S132_PHI_0->SetBinContent(18,0.6179132); - S132_PHI_0->SetBinContent(19,0.4170914); - S132_PHI_0->SetBinContent(20,0.6024654); - S132_PHI_0->SetBinContent(21,0.4170914); - S132_PHI_0->SetBinContent(22,0.4325392); - S132_PHI_0->SetBinContent(23,0.4943306); - S132_PHI_0->SetBinContent(24,0.4170914); - S132_PHI_0->SetBinContent(25,0.5715697); - S132_PHI_0->SetBinContent(26,0.4943306); - S132_PHI_0->SetBinContent(27,0.4634349); - S132_PHI_0->SetBinContent(28,0.6024654); - S132_PHI_0->SetBinContent(29,0.5561219); - S132_PHI_0->SetBinContent(30,0.5561219); - S132_PHI_0->SetBinContent(31,0.5870175); - S132_PHI_0->SetBinContent(32,0.4170914); - S132_PHI_0->SetBinContent(33,0.0); // overflow - S132_PHI_0->SetEntries(1000); - // Style - S132_PHI_0->SetLineColor(9); - S132_PHI_0->SetLineStyle(1); - S132_PHI_0->SetLineWidth(1); - S132_PHI_0->SetFillColor(9); - S132_PHI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_264","mystack"); - stack->Add(S132_PHI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#phi [ j_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_131.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_131.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_131.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_131.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_131.py deleted file mode 100644 index 5e9ea3d1..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_131.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_131(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) - - # Creating weights for histo: y132_PHI_0 - y132_PHI_0_weights = numpy.array([0.4479871,0.4479871,0.4170914,0.3707479,0.4170914,0.4016436,0.6179132,0.5870175,0.4943306,0.4634349,0.5097784,0.4170914,0.3553001,0.4634349,0.5252262,0.4788827,0.3861957,0.6179132,0.4170914,0.6024654,0.4170914,0.4325392,0.4943306,0.4170914,0.5715697,0.4943306,0.4634349,0.6024654,0.5561219,0.5561219,0.5870175,0.4170914]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y132_PHI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\phi$ $[ j_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y132_PHI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y132_PHI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_131.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_131.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_131.eps') - -# Running! -if __name__ == '__main__': - selection_131() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_132.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_132.C deleted file mode 100644 index efd10ae5..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_132.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_132() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo265","canvas_plotflow_tempo265",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S133_E_0 = new TH1F("S133_E_0","S133_E_0",50,0.0,2000.0); - // Content - S133_E_0->SetBinContent(0,0.0); // underflow - S133_E_0->SetBinContent(1,4.294497); - S133_E_0->SetBinContent(2,6.271819); - S133_E_0->SetBinContent(3,2.224487); - S133_E_0->SetBinContent(4,1.174035); - S133_E_0->SetBinContent(5,0.4788827); - S133_E_0->SetBinContent(6,0.3861957); - S133_E_0->SetBinContent(7,0.2626131); - S133_E_0->SetBinContent(8,0.1544783); - S133_E_0->SetBinContent(9,0.03089566); - S133_E_0->SetBinContent(10,0.06179132); - S133_E_0->SetBinContent(11,0.04634349); - S133_E_0->SetBinContent(12,0.03089566); - S133_E_0->SetBinContent(13,0.0); - S133_E_0->SetBinContent(14,0.01544783); - S133_E_0->SetBinContent(15,0.01544783); - S133_E_0->SetBinContent(16,0.0); - S133_E_0->SetBinContent(17,0.0); - S133_E_0->SetBinContent(18,0.0); - S133_E_0->SetBinContent(19,0.0); - S133_E_0->SetBinContent(20,0.0); - S133_E_0->SetBinContent(21,0.0); - S133_E_0->SetBinContent(22,0.0); - S133_E_0->SetBinContent(23,0.0); - S133_E_0->SetBinContent(24,0.0); - S133_E_0->SetBinContent(25,0.0); - S133_E_0->SetBinContent(26,0.0); - S133_E_0->SetBinContent(27,0.0); - S133_E_0->SetBinContent(28,0.0); - S133_E_0->SetBinContent(29,0.0); - S133_E_0->SetBinContent(30,0.0); - S133_E_0->SetBinContent(31,0.0); - S133_E_0->SetBinContent(32,0.0); - S133_E_0->SetBinContent(33,0.0); - S133_E_0->SetBinContent(34,0.0); - S133_E_0->SetBinContent(35,0.0); - S133_E_0->SetBinContent(36,0.0); - S133_E_0->SetBinContent(37,0.0); - S133_E_0->SetBinContent(38,0.0); - S133_E_0->SetBinContent(39,0.0); - S133_E_0->SetBinContent(40,0.0); - S133_E_0->SetBinContent(41,0.0); - S133_E_0->SetBinContent(42,0.0); - S133_E_0->SetBinContent(43,0.0); - S133_E_0->SetBinContent(44,0.0); - S133_E_0->SetBinContent(45,0.0); - S133_E_0->SetBinContent(46,0.0); - S133_E_0->SetBinContent(47,0.0); - S133_E_0->SetBinContent(48,0.0); - S133_E_0->SetBinContent(49,0.0); - S133_E_0->SetBinContent(50,0.0); - S133_E_0->SetBinContent(51,0.0); // overflow - S133_E_0->SetEntries(1000); - // Style - S133_E_0->SetLineColor(9); - S133_E_0->SetLineStyle(1); - S133_E_0->SetLineWidth(1); - S133_E_0->SetFillColor(9); - S133_E_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_266","mystack"); - stack->Add(S133_E_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E [ j_{2} ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_132.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_132.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_132.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_132.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_132.py deleted file mode 100644 index 7bdac76a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_132.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_132(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y133_E_0 - y133_E_0_weights = numpy.array([4.294497,6.271819,2.224487,1.174035,0.4788827,0.3861957,0.2626131,0.1544783,0.03089566,0.06179132,0.04634349,0.03089566,0.0,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y133_E_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E$ $[ j_{2} ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y133_E_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y133_E_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_132.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_132.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_132.eps') - -# Running! -if __name__ == '__main__': - selection_132() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_133.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_133.C deleted file mode 100644 index 32fc0cd9..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_133.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_133() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo267","canvas_plotflow_tempo267",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S134_MT_MET_0 = new TH1F("S134_MT_MET_0","S134_MT_MET_0",50,0.0,1000.0); - // Content - S134_MT_MET_0->SetBinContent(0,0.0); // underflow - S134_MT_MET_0->SetBinContent(1,2.116353); - S134_MT_MET_0->SetBinContent(2,2.626131); - S134_MT_MET_0->SetBinContent(3,3.321283); - S134_MT_MET_0->SetBinContent(4,2.70337); - S134_MT_MET_0->SetBinContent(5,1.915531); - S134_MT_MET_0->SetBinContent(6,1.050452); - S134_MT_MET_0->SetBinContent(7,0.6024654); - S134_MT_MET_0->SetBinContent(8,0.3861957); - S134_MT_MET_0->SetBinContent(9,0.3707479); - S134_MT_MET_0->SetBinContent(10,0.1390305); - S134_MT_MET_0->SetBinContent(11,0.07723915); - S134_MT_MET_0->SetBinContent(12,0.01544783); - S134_MT_MET_0->SetBinContent(13,0.03089566); - S134_MT_MET_0->SetBinContent(14,0.04634349); - S134_MT_MET_0->SetBinContent(15,0.01544783); - S134_MT_MET_0->SetBinContent(16,0.0); - S134_MT_MET_0->SetBinContent(17,0.01544783); - S134_MT_MET_0->SetBinContent(18,0.01544783); - S134_MT_MET_0->SetBinContent(19,0.0); - S134_MT_MET_0->SetBinContent(20,0.0); - S134_MT_MET_0->SetBinContent(21,0.0); - S134_MT_MET_0->SetBinContent(22,0.0); - S134_MT_MET_0->SetBinContent(23,0.0); - S134_MT_MET_0->SetBinContent(24,0.0); - S134_MT_MET_0->SetBinContent(25,0.0); - S134_MT_MET_0->SetBinContent(26,0.0); - S134_MT_MET_0->SetBinContent(27,0.0); - S134_MT_MET_0->SetBinContent(28,0.0); - S134_MT_MET_0->SetBinContent(29,0.0); - S134_MT_MET_0->SetBinContent(30,0.0); - S134_MT_MET_0->SetBinContent(31,0.0); - S134_MT_MET_0->SetBinContent(32,0.0); - S134_MT_MET_0->SetBinContent(33,0.0); - S134_MT_MET_0->SetBinContent(34,0.0); - S134_MT_MET_0->SetBinContent(35,0.0); - S134_MT_MET_0->SetBinContent(36,0.0); - S134_MT_MET_0->SetBinContent(37,0.0); - S134_MT_MET_0->SetBinContent(38,0.0); - S134_MT_MET_0->SetBinContent(39,0.0); - S134_MT_MET_0->SetBinContent(40,0.0); - S134_MT_MET_0->SetBinContent(41,0.0); - S134_MT_MET_0->SetBinContent(42,0.0); - S134_MT_MET_0->SetBinContent(43,0.0); - S134_MT_MET_0->SetBinContent(44,0.0); - S134_MT_MET_0->SetBinContent(45,0.0); - S134_MT_MET_0->SetBinContent(46,0.0); - S134_MT_MET_0->SetBinContent(47,0.0); - S134_MT_MET_0->SetBinContent(48,0.0); - S134_MT_MET_0->SetBinContent(49,0.0); - S134_MT_MET_0->SetBinContent(50,0.0); - S134_MT_MET_0->SetBinContent(51,0.0); // overflow - S134_MT_MET_0->SetEntries(1000); - // Style - S134_MT_MET_0->SetLineColor(9); - S134_MT_MET_0->SetLineStyle(1); - S134_MT_MET_0->SetLineWidth(1); - S134_MT_MET_0->SetFillColor(9); - S134_MT_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_268","mystack"); - stack->Add(S134_MT_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ j_{2} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_133.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_133.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_133.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_133.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_133.py deleted file mode 100644 index 9a44c040..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_133.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_133(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y134_MT_MET_0 - y134_MT_MET_0_weights = numpy.array([2.116353,2.626131,3.321283,2.70337,1.915531,1.050452,0.6024654,0.3861957,0.3707479,0.1390305,0.07723915,0.01544783,0.03089566,0.04634349,0.01544783,0.0,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y134_MT_MET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ j_{2} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y134_MT_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y134_MT_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_133.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_133.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_133.eps') - -# Running! -if __name__ == '__main__': - selection_133() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_134.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_134.C deleted file mode 100644 index 51da5bc7..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_134.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_134() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo269","canvas_plotflow_tempo269",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S135_M_0 = new TH1F("S135_M_0","S135_M_0",50,0.0,3000.0); - // Content - S135_M_0->SetBinContent(0,0.0); // underflow - S135_M_0->SetBinContent(1,0.07723915); - S135_M_0->SetBinContent(2,15.37059); - S135_M_0->SetBinContent(3,0.0); - S135_M_0->SetBinContent(4,0.0); - S135_M_0->SetBinContent(5,0.0); - S135_M_0->SetBinContent(6,0.0); - S135_M_0->SetBinContent(7,0.0); - S135_M_0->SetBinContent(8,0.0); - S135_M_0->SetBinContent(9,0.0); - S135_M_0->SetBinContent(10,0.0); - S135_M_0->SetBinContent(11,0.0); - S135_M_0->SetBinContent(12,0.0); - S135_M_0->SetBinContent(13,0.0); - S135_M_0->SetBinContent(14,0.0); - S135_M_0->SetBinContent(15,0.0); - S135_M_0->SetBinContent(16,0.0); - S135_M_0->SetBinContent(17,0.0); - S135_M_0->SetBinContent(18,0.0); - S135_M_0->SetBinContent(19,0.0); - S135_M_0->SetBinContent(20,0.0); - S135_M_0->SetBinContent(21,0.0); - S135_M_0->SetBinContent(22,0.0); - S135_M_0->SetBinContent(23,0.0); - S135_M_0->SetBinContent(24,0.0); - S135_M_0->SetBinContent(25,0.0); - S135_M_0->SetBinContent(26,0.0); - S135_M_0->SetBinContent(27,0.0); - S135_M_0->SetBinContent(28,0.0); - S135_M_0->SetBinContent(29,0.0); - S135_M_0->SetBinContent(30,0.0); - S135_M_0->SetBinContent(31,0.0); - S135_M_0->SetBinContent(32,0.0); - S135_M_0->SetBinContent(33,0.0); - S135_M_0->SetBinContent(34,0.0); - S135_M_0->SetBinContent(35,0.0); - S135_M_0->SetBinContent(36,0.0); - S135_M_0->SetBinContent(37,0.0); - S135_M_0->SetBinContent(38,0.0); - S135_M_0->SetBinContent(39,0.0); - S135_M_0->SetBinContent(40,0.0); - S135_M_0->SetBinContent(41,0.0); - S135_M_0->SetBinContent(42,0.0); - S135_M_0->SetBinContent(43,0.0); - S135_M_0->SetBinContent(44,0.0); - S135_M_0->SetBinContent(45,0.0); - S135_M_0->SetBinContent(46,0.0); - S135_M_0->SetBinContent(47,0.0); - S135_M_0->SetBinContent(48,0.0); - S135_M_0->SetBinContent(49,0.0); - S135_M_0->SetBinContent(50,0.0); - S135_M_0->SetBinContent(51,0.0); // overflow - S135_M_0->SetEntries(1000); - // Style - S135_M_0->SetLineColor(9); - S135_M_0->SetLineStyle(1); - S135_M_0->SetLineWidth(1); - S135_M_0->SetFillColor(9); - S135_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_270","mystack"); - stack->Add(S135_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ j_{1} j_{2} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_134.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_134.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_134.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_134.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_134.py deleted file mode 100644 index ff330a2b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_134.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_134(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) - - # Creating weights for histo: y135_M_0 - y135_M_0_weights = numpy.array([0.07723915,15.37059,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y135_M_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ j_{1} j_{2} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y135_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y135_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_134.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_134.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_134.eps') - -# Running! -if __name__ == '__main__': - selection_134() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_135.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_135.C deleted file mode 100644 index f0f1c99d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_135.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_135() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo271","canvas_plotflow_tempo271",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S136_PT_0 = new TH1F("S136_PT_0","S136_PT_0",50,0.0,3000.0); - // Content - S136_PT_0->SetBinContent(0,0.0); // underflow - S136_PT_0->SetBinContent(1,5.514875); - S136_PT_0->SetBinContent(2,6.472641); - S136_PT_0->SetBinContent(3,2.595235); - S136_PT_0->SetBinContent(4,0.6024654); - S136_PT_0->SetBinContent(5,0.1544783); - S136_PT_0->SetBinContent(6,0.07723915); - S136_PT_0->SetBinContent(7,0.03089566); - S136_PT_0->SetBinContent(8,0.0); - S136_PT_0->SetBinContent(9,0.0); - S136_PT_0->SetBinContent(10,0.0); - S136_PT_0->SetBinContent(11,0.0); - S136_PT_0->SetBinContent(12,0.0); - S136_PT_0->SetBinContent(13,0.0); - S136_PT_0->SetBinContent(14,0.0); - S136_PT_0->SetBinContent(15,0.0); - S136_PT_0->SetBinContent(16,0.0); - S136_PT_0->SetBinContent(17,0.0); - S136_PT_0->SetBinContent(18,0.0); - S136_PT_0->SetBinContent(19,0.0); - S136_PT_0->SetBinContent(20,0.0); - S136_PT_0->SetBinContent(21,0.0); - S136_PT_0->SetBinContent(22,0.0); - S136_PT_0->SetBinContent(23,0.0); - S136_PT_0->SetBinContent(24,0.0); - S136_PT_0->SetBinContent(25,0.0); - S136_PT_0->SetBinContent(26,0.0); - S136_PT_0->SetBinContent(27,0.0); - S136_PT_0->SetBinContent(28,0.0); - S136_PT_0->SetBinContent(29,0.0); - S136_PT_0->SetBinContent(30,0.0); - S136_PT_0->SetBinContent(31,0.0); - S136_PT_0->SetBinContent(32,0.0); - S136_PT_0->SetBinContent(33,0.0); - S136_PT_0->SetBinContent(34,0.0); - S136_PT_0->SetBinContent(35,0.0); - S136_PT_0->SetBinContent(36,0.0); - S136_PT_0->SetBinContent(37,0.0); - S136_PT_0->SetBinContent(38,0.0); - S136_PT_0->SetBinContent(39,0.0); - S136_PT_0->SetBinContent(40,0.0); - S136_PT_0->SetBinContent(41,0.0); - S136_PT_0->SetBinContent(42,0.0); - S136_PT_0->SetBinContent(43,0.0); - S136_PT_0->SetBinContent(44,0.0); - S136_PT_0->SetBinContent(45,0.0); - S136_PT_0->SetBinContent(46,0.0); - S136_PT_0->SetBinContent(47,0.0); - S136_PT_0->SetBinContent(48,0.0); - S136_PT_0->SetBinContent(49,0.0); - S136_PT_0->SetBinContent(50,0.0); - S136_PT_0->SetBinContent(51,0.0); // overflow - S136_PT_0->SetEntries(1000); - // Style - S136_PT_0->SetLineColor(9); - S136_PT_0->SetLineStyle(1); - S136_PT_0->SetLineWidth(1); - S136_PT_0->SetFillColor(9); - S136_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_272","mystack"); - stack->Add(S136_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ j_{1} j_{2} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_135.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_135.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_135.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_135.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_135.py deleted file mode 100644 index 43f9ae0f..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_135.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_135(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) - - # Creating weights for histo: y136_PT_0 - y136_PT_0_weights = numpy.array([5.514875,6.472641,2.595235,0.6024654,0.1544783,0.07723915,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y136_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ j_{1} j_{2} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y136_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y136_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_135.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_135.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_135.eps') - -# Running! -if __name__ == '__main__': - selection_135() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_136.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_136.C deleted file mode 100644 index ffc5d07d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_136.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_136() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo273","canvas_plotflow_tempo273",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S137_DELTAR_0 = new TH1F("S137_DELTAR_0","S137_DELTAR_0",50,0.0,10.0); - // Content - S137_DELTAR_0->SetBinContent(0,0.0); // underflow - S137_DELTAR_0->SetBinContent(1,0.0); - S137_DELTAR_0->SetBinContent(2,0.0); - S137_DELTAR_0->SetBinContent(3,0.1390305); - S137_DELTAR_0->SetBinContent(4,0.3553001); - S137_DELTAR_0->SetBinContent(5,0.6642567); - S137_DELTAR_0->SetBinContent(6,1.4212); - S137_DELTAR_0->SetBinContent(7,1.4212); - S137_DELTAR_0->SetBinContent(8,1.63747); - S137_DELTAR_0->SetBinContent(9,1.560231); - S137_DELTAR_0->SetBinContent(10,1.591126); - S137_DELTAR_0->SetBinContent(11,1.683813); - S137_DELTAR_0->SetBinContent(12,1.112244); - S137_DELTAR_0->SetBinContent(13,0.9423176); - S137_DELTAR_0->SetBinContent(14,1.035005); - S137_DELTAR_0->SetBinContent(15,0.8805263); - S137_DELTAR_0->SetBinContent(16,0.6024654); - S137_DELTAR_0->SetBinContent(17,0.2780609); - S137_DELTAR_0->SetBinContent(18,0.1081348); - S137_DELTAR_0->SetBinContent(19,0.0); - S137_DELTAR_0->SetBinContent(20,0.01544783); - S137_DELTAR_0->SetBinContent(21,0.0); - S137_DELTAR_0->SetBinContent(22,0.0); - S137_DELTAR_0->SetBinContent(23,0.0); - S137_DELTAR_0->SetBinContent(24,0.0); - S137_DELTAR_0->SetBinContent(25,0.0); - S137_DELTAR_0->SetBinContent(26,0.0); - S137_DELTAR_0->SetBinContent(27,0.0); - S137_DELTAR_0->SetBinContent(28,0.0); - S137_DELTAR_0->SetBinContent(29,0.0); - S137_DELTAR_0->SetBinContent(30,0.0); - S137_DELTAR_0->SetBinContent(31,0.0); - S137_DELTAR_0->SetBinContent(32,0.0); - S137_DELTAR_0->SetBinContent(33,0.0); - S137_DELTAR_0->SetBinContent(34,0.0); - S137_DELTAR_0->SetBinContent(35,0.0); - S137_DELTAR_0->SetBinContent(36,0.0); - S137_DELTAR_0->SetBinContent(37,0.0); - S137_DELTAR_0->SetBinContent(38,0.0); - S137_DELTAR_0->SetBinContent(39,0.0); - S137_DELTAR_0->SetBinContent(40,0.0); - S137_DELTAR_0->SetBinContent(41,0.0); - S137_DELTAR_0->SetBinContent(42,0.0); - S137_DELTAR_0->SetBinContent(43,0.0); - S137_DELTAR_0->SetBinContent(44,0.0); - S137_DELTAR_0->SetBinContent(45,0.0); - S137_DELTAR_0->SetBinContent(46,0.0); - S137_DELTAR_0->SetBinContent(47,0.0); - S137_DELTAR_0->SetBinContent(48,0.0); - S137_DELTAR_0->SetBinContent(49,0.0); - S137_DELTAR_0->SetBinContent(50,0.0); - S137_DELTAR_0->SetBinContent(51,0.0); // overflow - S137_DELTAR_0->SetEntries(1000); - // Style - S137_DELTAR_0->SetLineColor(9); - S137_DELTAR_0->SetLineStyle(1); - S137_DELTAR_0->SetLineWidth(1); - S137_DELTAR_0->SetFillColor(9); - S137_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_274","mystack"); - stack->Add(S137_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ j_{1}, j_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_136.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_136.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_136.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_136.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_136.py deleted file mode 100644 index 37de1d37..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_136.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_136(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y137_DELTAR_0 - y137_DELTAR_0_weights = numpy.array([0.0,0.0,0.1390305,0.3553001,0.6642567,1.4212,1.4212,1.63747,1.560231,1.591126,1.683813,1.112244,0.9423176,1.035005,0.8805263,0.6024654,0.2780609,0.1081348,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y137_DELTAR_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ j_{1}, j_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y137_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y137_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_136.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_136.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_136.eps') - -# Running! -if __name__ == '__main__': - selection_136() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_137.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_137.C deleted file mode 100644 index 0b02ac87..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_137.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_137() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo275","canvas_plotflow_tempo275",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S138_DPHI_0_PI_0 = new TH1F("S138_DPHI_0_PI_0","S138_DPHI_0_PI_0",32,0.0,3.2); - // Content - S138_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow - S138_DPHI_0_PI_0->SetBinContent(1,0.2935088); - S138_DPHI_0_PI_0->SetBinContent(2,0.3861957); - S138_DPHI_0_PI_0->SetBinContent(3,0.3553001); - S138_DPHI_0_PI_0->SetBinContent(4,0.3244044); - S138_DPHI_0_PI_0->SetBinContent(5,0.4016436); - S138_DPHI_0_PI_0->SetBinContent(6,0.3707479); - S138_DPHI_0_PI_0->SetBinContent(7,0.4325392); - S138_DPHI_0_PI_0->SetBinContent(8,0.4634349); - S138_DPHI_0_PI_0->SetBinContent(9,0.6024654); - S138_DPHI_0_PI_0->SetBinContent(10,0.5715697); - S138_DPHI_0_PI_0->SetBinContent(11,0.7878393); - S138_DPHI_0_PI_0->SetBinContent(12,0.6797045); - S138_DPHI_0_PI_0->SetBinContent(13,0.7878393); - S138_DPHI_0_PI_0->SetBinContent(14,0.4170914); - S138_DPHI_0_PI_0->SetBinContent(15,0.6024654); - S138_DPHI_0_PI_0->SetBinContent(16,0.7723915); - S138_DPHI_0_PI_0->SetBinContent(17,0.5715697); - S138_DPHI_0_PI_0->SetBinContent(18,0.540674); - S138_DPHI_0_PI_0->SetBinContent(19,0.5561219); - S138_DPHI_0_PI_0->SetBinContent(20,0.5870175); - S138_DPHI_0_PI_0->SetBinContent(21,0.6488089); - S138_DPHI_0_PI_0->SetBinContent(22,0.5715697); - S138_DPHI_0_PI_0->SetBinContent(23,0.4943306); - S138_DPHI_0_PI_0->SetBinContent(24,0.4325392); - S138_DPHI_0_PI_0->SetBinContent(25,0.3553001); - S138_DPHI_0_PI_0->SetBinContent(26,0.3861957); - S138_DPHI_0_PI_0->SetBinContent(27,0.4788827); - S138_DPHI_0_PI_0->SetBinContent(28,0.4479871); - S138_DPHI_0_PI_0->SetBinContent(29,0.3398523); - S138_DPHI_0_PI_0->SetBinContent(30,0.3553001); - S138_DPHI_0_PI_0->SetBinContent(31,0.2317174); - S138_DPHI_0_PI_0->SetBinContent(32,0.2008218); - S138_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow - S138_DPHI_0_PI_0->SetEntries(1000); - // Style - S138_DPHI_0_PI_0->SetLineColor(9); - S138_DPHI_0_PI_0->SetLineStyle(1); - S138_DPHI_0_PI_0->SetLineWidth(1); - S138_DPHI_0_PI_0->SetFillColor(9); - S138_DPHI_0_PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_276","mystack"); - stack->Add(S138_DPHI_0_PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ j_{1}, j_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_137.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_137.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_137.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_137.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_137.py deleted file mode 100644 index fb394255..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_137.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_137(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) - - # Creating weights for histo: y138_DPHI_0_PI_0 - y138_DPHI_0_PI_0_weights = numpy.array([0.2935088,0.3861957,0.3553001,0.3244044,0.4016436,0.3707479,0.4325392,0.4634349,0.6024654,0.5715697,0.7878393,0.6797045,0.7878393,0.4170914,0.6024654,0.7723915,0.5715697,0.540674,0.5561219,0.5870175,0.6488089,0.5715697,0.4943306,0.4325392,0.3553001,0.3861957,0.4788827,0.4479871,0.3398523,0.3553001,0.2317174,0.2008218]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y138_DPHI_0_PI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ j_{1}, j_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y138_DPHI_0_PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y138_DPHI_0_PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_137.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_137.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_137.eps') - -# Running! -if __name__ == '__main__': - selection_137() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_138.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_138.C deleted file mode 100644 index f94db17d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_138.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_138() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo277","canvas_plotflow_tempo277",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S139_DPHI_0_2PI_0 = new TH1F("S139_DPHI_0_2PI_0","S139_DPHI_0_2PI_0",32,0.0,6.4); - // Content - S139_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow - S139_DPHI_0_2PI_0->SetBinContent(1,0.4170914); - S139_DPHI_0_2PI_0->SetBinContent(2,0.4788827); - S139_DPHI_0_2PI_0->SetBinContent(3,0.3244044); - S139_DPHI_0_2PI_0->SetBinContent(4,0.4788827); - S139_DPHI_0_2PI_0->SetBinContent(5,0.6951523); - S139_DPHI_0_2PI_0->SetBinContent(6,0.7106002); - S139_DPHI_0_2PI_0->SetBinContent(7,0.5715697); - S139_DPHI_0_2PI_0->SetBinContent(8,0.8496306); - S139_DPHI_0_2PI_0->SetBinContent(9,0.6179132); - S139_DPHI_0_2PI_0->SetBinContent(10,0.4943306); - S139_DPHI_0_2PI_0->SetBinContent(11,0.6179132); - S139_DPHI_0_2PI_0->SetBinContent(12,0.4170914); - S139_DPHI_0_2PI_0->SetBinContent(13,0.3244044); - S139_DPHI_0_2PI_0->SetBinContent(14,0.4943306); - S139_DPHI_0_2PI_0->SetBinContent(15,0.4325392); - S139_DPHI_0_2PI_0->SetBinContent(16,0.3398523); - S139_DPHI_0_2PI_0->SetBinContent(17,0.2935088); - S139_DPHI_0_2PI_0->SetBinContent(18,0.3089566); - S139_DPHI_0_2PI_0->SetBinContent(19,0.4325392); - S139_DPHI_0_2PI_0->SetBinContent(20,0.4479871); - S139_DPHI_0_2PI_0->SetBinContent(21,0.6179132); - S139_DPHI_0_2PI_0->SetBinContent(22,0.6024654); - S139_DPHI_0_2PI_0->SetBinContent(23,0.5097784); - S139_DPHI_0_2PI_0->SetBinContent(24,0.5561219); - S139_DPHI_0_2PI_0->SetBinContent(25,0.5252262); - S139_DPHI_0_2PI_0->SetBinContent(26,0.8496306); - S139_DPHI_0_2PI_0->SetBinContent(27,0.4788827); - S139_DPHI_0_2PI_0->SetBinContent(28,0.4943306); - S139_DPHI_0_2PI_0->SetBinContent(29,0.3707479); - S139_DPHI_0_2PI_0->SetBinContent(30,0.3553001); - S139_DPHI_0_2PI_0->SetBinContent(31,0.2317174); - S139_DPHI_0_2PI_0->SetBinContent(32,0.1081348); - S139_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow - S139_DPHI_0_2PI_0->SetEntries(1000); - // Style - S139_DPHI_0_2PI_0->SetLineColor(9); - S139_DPHI_0_2PI_0->SetLineStyle(1); - S139_DPHI_0_2PI_0->SetLineWidth(1); - S139_DPHI_0_2PI_0->SetFillColor(9); - S139_DPHI_0_2PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_278","mystack"); - stack->Add(S139_DPHI_0_2PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ j_{1}, j_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_138.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_138.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_138.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_138.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_138.py deleted file mode 100644 index 7f167423..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_138.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_138(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) - - # Creating weights for histo: y139_DPHI_0_2PI_0 - y139_DPHI_0_2PI_0_weights = numpy.array([0.4170914,0.4788827,0.3244044,0.4788827,0.6951523,0.7106002,0.5715697,0.8496306,0.6179132,0.4943306,0.6179132,0.4170914,0.3244044,0.4943306,0.4325392,0.3398523,0.2935088,0.3089566,0.4325392,0.4479871,0.6179132,0.6024654,0.5097784,0.5561219,0.5252262,0.8496306,0.4788827,0.4943306,0.3707479,0.3553001,0.2317174,0.1081348]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y139_DPHI_0_2PI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ j_{1}, j_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y139_DPHI_0_2PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y139_DPHI_0_2PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_138.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_138.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_138.eps') - -# Running! -if __name__ == '__main__': - selection_138() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_139.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_139.C deleted file mode 100644 index 60ca6406..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_139.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_139() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo279","canvas_plotflow_tempo279",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S140_DELTAR_0 = new TH1F("S140_DELTAR_0","S140_DELTAR_0",50,0.0,10.0); - // Content - S140_DELTAR_0->SetBinContent(0,0.0); // underflow - S140_DELTAR_0->SetBinContent(1,0.0); - S140_DELTAR_0->SetBinContent(2,0.0); - S140_DELTAR_0->SetBinContent(3,0.0); - S140_DELTAR_0->SetBinContent(4,0.0); - S140_DELTAR_0->SetBinContent(5,0.0); - S140_DELTAR_0->SetBinContent(6,0.0); - S140_DELTAR_0->SetBinContent(7,0.0); - S140_DELTAR_0->SetBinContent(8,0.0); - S140_DELTAR_0->SetBinContent(9,0.0); - S140_DELTAR_0->SetBinContent(10,0.0); - S140_DELTAR_0->SetBinContent(11,0.0); - S140_DELTAR_0->SetBinContent(12,0.0); - S140_DELTAR_0->SetBinContent(13,0.0); - S140_DELTAR_0->SetBinContent(14,0.0); - S140_DELTAR_0->SetBinContent(15,0.0); - S140_DELTAR_0->SetBinContent(16,0.0); - S140_DELTAR_0->SetBinContent(17,0.0); - S140_DELTAR_0->SetBinContent(18,0.0); - S140_DELTAR_0->SetBinContent(19,0.0); - S140_DELTAR_0->SetBinContent(20,0.0); - S140_DELTAR_0->SetBinContent(21,0.0); - S140_DELTAR_0->SetBinContent(22,0.0); - S140_DELTAR_0->SetBinContent(23,0.0); - S140_DELTAR_0->SetBinContent(24,0.0); - S140_DELTAR_0->SetBinContent(25,0.0); - S140_DELTAR_0->SetBinContent(26,0.0); - S140_DELTAR_0->SetBinContent(27,0.0); - S140_DELTAR_0->SetBinContent(28,0.0); - S140_DELTAR_0->SetBinContent(29,0.0); - S140_DELTAR_0->SetBinContent(30,0.0); - S140_DELTAR_0->SetBinContent(31,0.0); - S140_DELTAR_0->SetBinContent(32,0.0); - S140_DELTAR_0->SetBinContent(33,0.0); - S140_DELTAR_0->SetBinContent(34,0.0); - S140_DELTAR_0->SetBinContent(35,0.0); - S140_DELTAR_0->SetBinContent(36,0.0); - S140_DELTAR_0->SetBinContent(37,0.0); - S140_DELTAR_0->SetBinContent(38,0.0); - S140_DELTAR_0->SetBinContent(39,0.0); - S140_DELTAR_0->SetBinContent(40,0.0); - S140_DELTAR_0->SetBinContent(41,0.0); - S140_DELTAR_0->SetBinContent(42,0.0); - S140_DELTAR_0->SetBinContent(43,0.0); - S140_DELTAR_0->SetBinContent(44,0.0); - S140_DELTAR_0->SetBinContent(45,0.0); - S140_DELTAR_0->SetBinContent(46,0.0); - S140_DELTAR_0->SetBinContent(47,0.0); - S140_DELTAR_0->SetBinContent(48,0.0); - S140_DELTAR_0->SetBinContent(49,0.0); - S140_DELTAR_0->SetBinContent(50,0.0); - S140_DELTAR_0->SetBinContent(51,0.0); // overflow - S140_DELTAR_0->SetEntries(0); - // Style - S140_DELTAR_0->SetLineColor(9); - S140_DELTAR_0->SetLineStyle(1); - S140_DELTAR_0->SetLineWidth(1); - S140_DELTAR_0->SetFillColor(9); - S140_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_280","mystack"); - stack->Add(S140_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (e, e) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ e, e ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_139.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_139.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_139.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_139.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_139.py deleted file mode 100644 index 03e19202..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_139.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_139(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y140_DELTAR_0 - y140_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y140_DELTAR_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ e, e ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (e, e)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y140_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y140_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_139.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_139.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_139.eps') - -# Running! -if __name__ == '__main__': - selection_139() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_14.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_14.C deleted file mode 100644 index 4ef68096..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_14.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_14() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo29","canvas_plotflow_tempo29",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S15_PHI_0 = new TH1F("S15_PHI_0","S15_PHI_0",32,-3.2,3.2); - // Content - S15_PHI_0->SetBinContent(0,0.0); // underflow - S15_PHI_0->SetBinContent(1,0.185374); - S15_PHI_0->SetBinContent(2,0.1081348); - S15_PHI_0->SetBinContent(3,0.2626131); - S15_PHI_0->SetBinContent(4,0.2317174); - S15_PHI_0->SetBinContent(5,0.185374); - S15_PHI_0->SetBinContent(6,0.1544783); - S15_PHI_0->SetBinContent(7,0.3089566); - S15_PHI_0->SetBinContent(8,0.2935088); - S15_PHI_0->SetBinContent(9,0.4016436); - S15_PHI_0->SetBinContent(10,0.3089566); - S15_PHI_0->SetBinContent(11,0.2162696); - S15_PHI_0->SetBinContent(12,0.3089566); - S15_PHI_0->SetBinContent(13,0.2008218); - S15_PHI_0->SetBinContent(14,0.2008218); - S15_PHI_0->SetBinContent(15,0.2008218); - S15_PHI_0->SetBinContent(16,0.2626131); - S15_PHI_0->SetBinContent(17,0.2935088); - S15_PHI_0->SetBinContent(18,0.3244044); - S15_PHI_0->SetBinContent(19,0.3553001); - S15_PHI_0->SetBinContent(20,0.1699261); - S15_PHI_0->SetBinContent(21,0.1699261); - S15_PHI_0->SetBinContent(22,0.2317174); - S15_PHI_0->SetBinContent(23,0.2162696); - S15_PHI_0->SetBinContent(24,0.2317174); - S15_PHI_0->SetBinContent(25,0.2935088); - S15_PHI_0->SetBinContent(26,0.2317174); - S15_PHI_0->SetBinContent(27,0.3398523); - S15_PHI_0->SetBinContent(28,0.3553001); - S15_PHI_0->SetBinContent(29,0.2471653); - S15_PHI_0->SetBinContent(30,0.2780609); - S15_PHI_0->SetBinContent(31,0.1544783); - S15_PHI_0->SetBinContent(32,0.09268698); - S15_PHI_0->SetBinContent(33,0.0); // overflow - S15_PHI_0->SetEntries(506); - // Style - S15_PHI_0->SetLineColor(9); - S15_PHI_0->SetLineStyle(1); - S15_PHI_0->SetLineWidth(1); - S15_PHI_0->SetFillColor(9); - S15_PHI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_30","mystack"); - stack->Add(S15_PHI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#phi [ e ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_14.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_14.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_14.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_14.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_14.py deleted file mode 100644 index 5b7a217a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_14.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_14(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) - - # Creating weights for histo: y15_PHI_0 - y15_PHI_0_weights = numpy.array([0.185374,0.1081348,0.2626131,0.2317174,0.185374,0.1544783,0.3089566,0.2935088,0.4016436,0.3089566,0.2162696,0.3089566,0.2008218,0.2008218,0.2008218,0.2626131,0.2935088,0.3244044,0.3553001,0.1699261,0.1699261,0.2317174,0.2162696,0.2317174,0.2935088,0.2317174,0.3398523,0.3553001,0.2471653,0.2780609,0.1544783,0.09268698]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y15_PHI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\phi$ $[ e ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y15_PHI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y15_PHI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_14.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_14.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_14.eps') - -# Running! -if __name__ == '__main__': - selection_14() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_140.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_140.C deleted file mode 100644 index e5946a2d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_140.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_140() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo281","canvas_plotflow_tempo281",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S141_DPHI_0_PI_0 = new TH1F("S141_DPHI_0_PI_0","S141_DPHI_0_PI_0",32,0.0,3.2); - // Content - S141_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow - S141_DPHI_0_PI_0->SetBinContent(1,0.0); - S141_DPHI_0_PI_0->SetBinContent(2,0.0); - S141_DPHI_0_PI_0->SetBinContent(3,0.0); - S141_DPHI_0_PI_0->SetBinContent(4,0.0); - S141_DPHI_0_PI_0->SetBinContent(5,0.0); - S141_DPHI_0_PI_0->SetBinContent(6,0.0); - S141_DPHI_0_PI_0->SetBinContent(7,0.0); - S141_DPHI_0_PI_0->SetBinContent(8,0.0); - S141_DPHI_0_PI_0->SetBinContent(9,0.0); - S141_DPHI_0_PI_0->SetBinContent(10,0.0); - S141_DPHI_0_PI_0->SetBinContent(11,0.0); - S141_DPHI_0_PI_0->SetBinContent(12,0.0); - S141_DPHI_0_PI_0->SetBinContent(13,0.0); - S141_DPHI_0_PI_0->SetBinContent(14,0.0); - S141_DPHI_0_PI_0->SetBinContent(15,0.0); - S141_DPHI_0_PI_0->SetBinContent(16,0.0); - S141_DPHI_0_PI_0->SetBinContent(17,0.0); - S141_DPHI_0_PI_0->SetBinContent(18,0.0); - S141_DPHI_0_PI_0->SetBinContent(19,0.0); - S141_DPHI_0_PI_0->SetBinContent(20,0.0); - S141_DPHI_0_PI_0->SetBinContent(21,0.0); - S141_DPHI_0_PI_0->SetBinContent(22,0.0); - S141_DPHI_0_PI_0->SetBinContent(23,0.0); - S141_DPHI_0_PI_0->SetBinContent(24,0.0); - S141_DPHI_0_PI_0->SetBinContent(25,0.0); - S141_DPHI_0_PI_0->SetBinContent(26,0.0); - S141_DPHI_0_PI_0->SetBinContent(27,0.0); - S141_DPHI_0_PI_0->SetBinContent(28,0.0); - S141_DPHI_0_PI_0->SetBinContent(29,0.0); - S141_DPHI_0_PI_0->SetBinContent(30,0.0); - S141_DPHI_0_PI_0->SetBinContent(31,0.0); - S141_DPHI_0_PI_0->SetBinContent(32,0.0); - S141_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow - S141_DPHI_0_PI_0->SetEntries(0); - // Style - S141_DPHI_0_PI_0->SetLineColor(9); - S141_DPHI_0_PI_0->SetLineStyle(1); - S141_DPHI_0_PI_0->SetLineWidth(1); - S141_DPHI_0_PI_0->SetFillColor(9); - S141_DPHI_0_PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_282","mystack"); - stack->Add(S141_DPHI_0_PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (e, e) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ e, e ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_140.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_140.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_140.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_140.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_140.py deleted file mode 100644 index 82a173af..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_140.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_140(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) - - # Creating weights for histo: y141_DPHI_0_PI_0 - y141_DPHI_0_PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y141_DPHI_0_PI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ e, e ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (e, e)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y141_DPHI_0_PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y141_DPHI_0_PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_140.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_140.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_140.eps') - -# Running! -if __name__ == '__main__': - selection_140() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_141.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_141.C deleted file mode 100644 index f46f6577..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_141.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_141() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo283","canvas_plotflow_tempo283",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S142_DPHI_0_2PI_0 = new TH1F("S142_DPHI_0_2PI_0","S142_DPHI_0_2PI_0",32,0.0,6.4); - // Content - S142_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow - S142_DPHI_0_2PI_0->SetBinContent(1,0.0); - S142_DPHI_0_2PI_0->SetBinContent(2,0.0); - S142_DPHI_0_2PI_0->SetBinContent(3,0.0); - S142_DPHI_0_2PI_0->SetBinContent(4,0.0); - S142_DPHI_0_2PI_0->SetBinContent(5,0.0); - S142_DPHI_0_2PI_0->SetBinContent(6,0.0); - S142_DPHI_0_2PI_0->SetBinContent(7,0.0); - S142_DPHI_0_2PI_0->SetBinContent(8,0.0); - S142_DPHI_0_2PI_0->SetBinContent(9,0.0); - S142_DPHI_0_2PI_0->SetBinContent(10,0.0); - S142_DPHI_0_2PI_0->SetBinContent(11,0.0); - S142_DPHI_0_2PI_0->SetBinContent(12,0.0); - S142_DPHI_0_2PI_0->SetBinContent(13,0.0); - S142_DPHI_0_2PI_0->SetBinContent(14,0.0); - S142_DPHI_0_2PI_0->SetBinContent(15,0.0); - S142_DPHI_0_2PI_0->SetBinContent(16,0.0); - S142_DPHI_0_2PI_0->SetBinContent(17,0.0); - S142_DPHI_0_2PI_0->SetBinContent(18,0.0); - S142_DPHI_0_2PI_0->SetBinContent(19,0.0); - S142_DPHI_0_2PI_0->SetBinContent(20,0.0); - S142_DPHI_0_2PI_0->SetBinContent(21,0.0); - S142_DPHI_0_2PI_0->SetBinContent(22,0.0); - S142_DPHI_0_2PI_0->SetBinContent(23,0.0); - S142_DPHI_0_2PI_0->SetBinContent(24,0.0); - S142_DPHI_0_2PI_0->SetBinContent(25,0.0); - S142_DPHI_0_2PI_0->SetBinContent(26,0.0); - S142_DPHI_0_2PI_0->SetBinContent(27,0.0); - S142_DPHI_0_2PI_0->SetBinContent(28,0.0); - S142_DPHI_0_2PI_0->SetBinContent(29,0.0); - S142_DPHI_0_2PI_0->SetBinContent(30,0.0); - S142_DPHI_0_2PI_0->SetBinContent(31,0.0); - S142_DPHI_0_2PI_0->SetBinContent(32,0.0); - S142_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow - S142_DPHI_0_2PI_0->SetEntries(0); - // Style - S142_DPHI_0_2PI_0->SetLineColor(9); - S142_DPHI_0_2PI_0->SetLineStyle(1); - S142_DPHI_0_2PI_0->SetLineWidth(1); - S142_DPHI_0_2PI_0->SetFillColor(9); - S142_DPHI_0_2PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_284","mystack"); - stack->Add(S142_DPHI_0_2PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (e, e) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ e, e ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_141.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_141.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_141.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_141.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_141.py deleted file mode 100644 index 66594f48..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_141.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_141(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) - - # Creating weights for histo: y142_DPHI_0_2PI_0 - y142_DPHI_0_2PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y142_DPHI_0_2PI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ e, e ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (e, e)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y142_DPHI_0_2PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y142_DPHI_0_2PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_141.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_141.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_141.eps') - -# Running! -if __name__ == '__main__': - selection_141() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_142.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_142.C deleted file mode 100644 index adb709ee..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_142.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_142() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo285","canvas_plotflow_tempo285",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S143_M_0 = new TH1F("S143_M_0","S143_M_0",50,0.0,1000.0); - // Content - S143_M_0->SetBinContent(0,0.0); // underflow - S143_M_0->SetBinContent(1,0.0); - S143_M_0->SetBinContent(2,0.0); - S143_M_0->SetBinContent(3,0.0); - S143_M_0->SetBinContent(4,0.0); - S143_M_0->SetBinContent(5,0.0); - S143_M_0->SetBinContent(6,0.0); - S143_M_0->SetBinContent(7,0.0); - S143_M_0->SetBinContent(8,0.0); - S143_M_0->SetBinContent(9,0.0); - S143_M_0->SetBinContent(10,0.0); - S143_M_0->SetBinContent(11,0.0); - S143_M_0->SetBinContent(12,0.0); - S143_M_0->SetBinContent(13,0.0); - S143_M_0->SetBinContent(14,0.0); - S143_M_0->SetBinContent(15,0.0); - S143_M_0->SetBinContent(16,0.0); - S143_M_0->SetBinContent(17,0.0); - S143_M_0->SetBinContent(18,0.0); - S143_M_0->SetBinContent(19,0.0); - S143_M_0->SetBinContent(20,0.0); - S143_M_0->SetBinContent(21,0.0); - S143_M_0->SetBinContent(22,0.0); - S143_M_0->SetBinContent(23,0.0); - S143_M_0->SetBinContent(24,0.0); - S143_M_0->SetBinContent(25,0.0); - S143_M_0->SetBinContent(26,0.0); - S143_M_0->SetBinContent(27,0.0); - S143_M_0->SetBinContent(28,0.0); - S143_M_0->SetBinContent(29,0.0); - S143_M_0->SetBinContent(30,0.0); - S143_M_0->SetBinContent(31,0.0); - S143_M_0->SetBinContent(32,0.0); - S143_M_0->SetBinContent(33,0.0); - S143_M_0->SetBinContent(34,0.0); - S143_M_0->SetBinContent(35,0.0); - S143_M_0->SetBinContent(36,0.0); - S143_M_0->SetBinContent(37,0.0); - S143_M_0->SetBinContent(38,0.0); - S143_M_0->SetBinContent(39,0.0); - S143_M_0->SetBinContent(40,0.0); - S143_M_0->SetBinContent(41,0.0); - S143_M_0->SetBinContent(42,0.0); - S143_M_0->SetBinContent(43,0.0); - S143_M_0->SetBinContent(44,0.0); - S143_M_0->SetBinContent(45,0.0); - S143_M_0->SetBinContent(46,0.0); - S143_M_0->SetBinContent(47,0.0); - S143_M_0->SetBinContent(48,0.0); - S143_M_0->SetBinContent(49,0.0); - S143_M_0->SetBinContent(50,0.0); - S143_M_0->SetBinContent(51,0.0); // overflow - S143_M_0->SetEntries(0); - // Style - S143_M_0->SetLineColor(9); - S143_M_0->SetLineStyle(1); - S143_M_0->SetLineWidth(1); - S143_M_0->SetFillColor(9); - S143_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_286","mystack"); - stack->Add(S143_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e e pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ e e ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_142.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_142.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_142.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_142.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_142.py deleted file mode 100644 index 6e096021..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_142.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_142(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y143_M_0 - y143_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y143_M_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ e e ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ e e\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y143_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y143_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_142.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_142.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_142.eps') - -# Running! -if __name__ == '__main__': - selection_142() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_143.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_143.C deleted file mode 100644 index 7b2f4de3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_143.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_143() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo287","canvas_plotflow_tempo287",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S144_PT_0 = new TH1F("S144_PT_0","S144_PT_0",50,0.0,1500.0); - // Content - S144_PT_0->SetBinContent(0,0.0); // underflow - S144_PT_0->SetBinContent(1,0.0); - S144_PT_0->SetBinContent(2,0.0); - S144_PT_0->SetBinContent(3,0.0); - S144_PT_0->SetBinContent(4,0.0); - S144_PT_0->SetBinContent(5,0.0); - S144_PT_0->SetBinContent(6,0.0); - S144_PT_0->SetBinContent(7,0.0); - S144_PT_0->SetBinContent(8,0.0); - S144_PT_0->SetBinContent(9,0.0); - S144_PT_0->SetBinContent(10,0.0); - S144_PT_0->SetBinContent(11,0.0); - S144_PT_0->SetBinContent(12,0.0); - S144_PT_0->SetBinContent(13,0.0); - S144_PT_0->SetBinContent(14,0.0); - S144_PT_0->SetBinContent(15,0.0); - S144_PT_0->SetBinContent(16,0.0); - S144_PT_0->SetBinContent(17,0.0); - S144_PT_0->SetBinContent(18,0.0); - S144_PT_0->SetBinContent(19,0.0); - S144_PT_0->SetBinContent(20,0.0); - S144_PT_0->SetBinContent(21,0.0); - S144_PT_0->SetBinContent(22,0.0); - S144_PT_0->SetBinContent(23,0.0); - S144_PT_0->SetBinContent(24,0.0); - S144_PT_0->SetBinContent(25,0.0); - S144_PT_0->SetBinContent(26,0.0); - S144_PT_0->SetBinContent(27,0.0); - S144_PT_0->SetBinContent(28,0.0); - S144_PT_0->SetBinContent(29,0.0); - S144_PT_0->SetBinContent(30,0.0); - S144_PT_0->SetBinContent(31,0.0); - S144_PT_0->SetBinContent(32,0.0); - S144_PT_0->SetBinContent(33,0.0); - S144_PT_0->SetBinContent(34,0.0); - S144_PT_0->SetBinContent(35,0.0); - S144_PT_0->SetBinContent(36,0.0); - S144_PT_0->SetBinContent(37,0.0); - S144_PT_0->SetBinContent(38,0.0); - S144_PT_0->SetBinContent(39,0.0); - S144_PT_0->SetBinContent(40,0.0); - S144_PT_0->SetBinContent(41,0.0); - S144_PT_0->SetBinContent(42,0.0); - S144_PT_0->SetBinContent(43,0.0); - S144_PT_0->SetBinContent(44,0.0); - S144_PT_0->SetBinContent(45,0.0); - S144_PT_0->SetBinContent(46,0.0); - S144_PT_0->SetBinContent(47,0.0); - S144_PT_0->SetBinContent(48,0.0); - S144_PT_0->SetBinContent(49,0.0); - S144_PT_0->SetBinContent(50,0.0); - S144_PT_0->SetBinContent(51,0.0); // overflow - S144_PT_0->SetEntries(0); - // Style - S144_PT_0->SetLineColor(9); - S144_PT_0->SetLineStyle(1); - S144_PT_0->SetLineWidth(1); - S144_PT_0->SetFillColor(9); - S144_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_288","mystack"); - stack->Add(S144_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e e pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ e e ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_143.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_143.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_143.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_143.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_143.py deleted file mode 100644 index 0e5f74bb..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_143.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_143(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) - - # Creating weights for histo: y144_PT_0 - y144_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y144_PT_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ e e ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ e e\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y144_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y144_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_143.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_143.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_143.eps') - -# Running! -if __name__ == '__main__': - selection_143() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_144.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_144.C deleted file mode 100644 index b992e6b1..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_144.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_144() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo289","canvas_plotflow_tempo289",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S145_DELTAR_0 = new TH1F("S145_DELTAR_0","S145_DELTAR_0",50,0.0,10.0); - // Content - S145_DELTAR_0->SetBinContent(0,0.0); // underflow - S145_DELTAR_0->SetBinContent(1,0.0); - S145_DELTAR_0->SetBinContent(2,0.0); - S145_DELTAR_0->SetBinContent(3,0.0); - S145_DELTAR_0->SetBinContent(4,0.0); - S145_DELTAR_0->SetBinContent(5,0.0); - S145_DELTAR_0->SetBinContent(6,0.0); - S145_DELTAR_0->SetBinContent(7,0.0); - S145_DELTAR_0->SetBinContent(8,0.0); - S145_DELTAR_0->SetBinContent(9,0.0); - S145_DELTAR_0->SetBinContent(10,0.0); - S145_DELTAR_0->SetBinContent(11,0.0); - S145_DELTAR_0->SetBinContent(12,0.0); - S145_DELTAR_0->SetBinContent(13,0.0); - S145_DELTAR_0->SetBinContent(14,0.0); - S145_DELTAR_0->SetBinContent(15,0.0); - S145_DELTAR_0->SetBinContent(16,0.0); - S145_DELTAR_0->SetBinContent(17,0.0); - S145_DELTAR_0->SetBinContent(18,0.0); - S145_DELTAR_0->SetBinContent(19,0.0); - S145_DELTAR_0->SetBinContent(20,0.0); - S145_DELTAR_0->SetBinContent(21,0.0); - S145_DELTAR_0->SetBinContent(22,0.0); - S145_DELTAR_0->SetBinContent(23,0.0); - S145_DELTAR_0->SetBinContent(24,0.0); - S145_DELTAR_0->SetBinContent(25,0.0); - S145_DELTAR_0->SetBinContent(26,0.0); - S145_DELTAR_0->SetBinContent(27,0.0); - S145_DELTAR_0->SetBinContent(28,0.0); - S145_DELTAR_0->SetBinContent(29,0.0); - S145_DELTAR_0->SetBinContent(30,0.0); - S145_DELTAR_0->SetBinContent(31,0.0); - S145_DELTAR_0->SetBinContent(32,0.0); - S145_DELTAR_0->SetBinContent(33,0.0); - S145_DELTAR_0->SetBinContent(34,0.0); - S145_DELTAR_0->SetBinContent(35,0.0); - S145_DELTAR_0->SetBinContent(36,0.0); - S145_DELTAR_0->SetBinContent(37,0.0); - S145_DELTAR_0->SetBinContent(38,0.0); - S145_DELTAR_0->SetBinContent(39,0.0); - S145_DELTAR_0->SetBinContent(40,0.0); - S145_DELTAR_0->SetBinContent(41,0.0); - S145_DELTAR_0->SetBinContent(42,0.0); - S145_DELTAR_0->SetBinContent(43,0.0); - S145_DELTAR_0->SetBinContent(44,0.0); - S145_DELTAR_0->SetBinContent(45,0.0); - S145_DELTAR_0->SetBinContent(46,0.0); - S145_DELTAR_0->SetBinContent(47,0.0); - S145_DELTAR_0->SetBinContent(48,0.0); - S145_DELTAR_0->SetBinContent(49,0.0); - S145_DELTAR_0->SetBinContent(50,0.0); - S145_DELTAR_0->SetBinContent(51,0.0); // overflow - S145_DELTAR_0->SetEntries(0); - // Style - S145_DELTAR_0->SetLineColor(9); - S145_DELTAR_0->SetLineStyle(1); - S145_DELTAR_0->SetLineWidth(1); - S145_DELTAR_0->SetFillColor(9); - S145_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_290","mystack"); - stack->Add(S145_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.04); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (mu, mu) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ mu, mu ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_144.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_144.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_144.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_144.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_144.py deleted file mode 100644 index f3e1c227..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_144.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_144(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y145_DELTAR_0 - y145_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y145_DELTAR_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ mu, mu ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (mu, mu)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y145_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y145_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_144.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_144.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_144.eps') - -# Running! -if __name__ == '__main__': - selection_144() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_145.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_145.C deleted file mode 100644 index 054ecc7d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_145.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_145() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo291","canvas_plotflow_tempo291",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S146_DPHI_0_PI_0 = new TH1F("S146_DPHI_0_PI_0","S146_DPHI_0_PI_0",32,0.0,3.2); - // Content - S146_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow - S146_DPHI_0_PI_0->SetBinContent(1,0.0); - S146_DPHI_0_PI_0->SetBinContent(2,0.0); - S146_DPHI_0_PI_0->SetBinContent(3,0.0); - S146_DPHI_0_PI_0->SetBinContent(4,0.0); - S146_DPHI_0_PI_0->SetBinContent(5,0.0); - S146_DPHI_0_PI_0->SetBinContent(6,0.0); - S146_DPHI_0_PI_0->SetBinContent(7,0.0); - S146_DPHI_0_PI_0->SetBinContent(8,0.0); - S146_DPHI_0_PI_0->SetBinContent(9,0.0); - S146_DPHI_0_PI_0->SetBinContent(10,0.0); - S146_DPHI_0_PI_0->SetBinContent(11,0.0); - S146_DPHI_0_PI_0->SetBinContent(12,0.0); - S146_DPHI_0_PI_0->SetBinContent(13,0.0); - S146_DPHI_0_PI_0->SetBinContent(14,0.0); - S146_DPHI_0_PI_0->SetBinContent(15,0.0); - S146_DPHI_0_PI_0->SetBinContent(16,0.0); - S146_DPHI_0_PI_0->SetBinContent(17,0.0); - S146_DPHI_0_PI_0->SetBinContent(18,0.0); - S146_DPHI_0_PI_0->SetBinContent(19,0.0); - S146_DPHI_0_PI_0->SetBinContent(20,0.0); - S146_DPHI_0_PI_0->SetBinContent(21,0.0); - S146_DPHI_0_PI_0->SetBinContent(22,0.0); - S146_DPHI_0_PI_0->SetBinContent(23,0.0); - S146_DPHI_0_PI_0->SetBinContent(24,0.0); - S146_DPHI_0_PI_0->SetBinContent(25,0.0); - S146_DPHI_0_PI_0->SetBinContent(26,0.0); - S146_DPHI_0_PI_0->SetBinContent(27,0.0); - S146_DPHI_0_PI_0->SetBinContent(28,0.0); - S146_DPHI_0_PI_0->SetBinContent(29,0.0); - S146_DPHI_0_PI_0->SetBinContent(30,0.0); - S146_DPHI_0_PI_0->SetBinContent(31,0.0); - S146_DPHI_0_PI_0->SetBinContent(32,0.0); - S146_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow - S146_DPHI_0_PI_0->SetEntries(0); - // Style - S146_DPHI_0_PI_0->SetLineColor(9); - S146_DPHI_0_PI_0->SetLineStyle(1); - S146_DPHI_0_PI_0->SetLineWidth(1); - S146_DPHI_0_PI_0->SetFillColor(9); - S146_DPHI_0_PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_292","mystack"); - stack->Add(S146_DPHI_0_PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.04); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (mu, mu) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ mu, mu ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_145.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_145.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_145.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_145.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_145.py deleted file mode 100644 index 20f7740f..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_145.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_145(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) - - # Creating weights for histo: y146_DPHI_0_PI_0 - y146_DPHI_0_PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y146_DPHI_0_PI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ mu, mu ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (mu, mu)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y146_DPHI_0_PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y146_DPHI_0_PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_145.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_145.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_145.eps') - -# Running! -if __name__ == '__main__': - selection_145() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_146.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_146.C deleted file mode 100644 index ab8bdbb5..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_146.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_146() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo293","canvas_plotflow_tempo293",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S147_DPHI_0_2PI_0 = new TH1F("S147_DPHI_0_2PI_0","S147_DPHI_0_2PI_0",32,0.0,6.4); - // Content - S147_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow - S147_DPHI_0_2PI_0->SetBinContent(1,0.0); - S147_DPHI_0_2PI_0->SetBinContent(2,0.0); - S147_DPHI_0_2PI_0->SetBinContent(3,0.0); - S147_DPHI_0_2PI_0->SetBinContent(4,0.0); - S147_DPHI_0_2PI_0->SetBinContent(5,0.0); - S147_DPHI_0_2PI_0->SetBinContent(6,0.0); - S147_DPHI_0_2PI_0->SetBinContent(7,0.0); - S147_DPHI_0_2PI_0->SetBinContent(8,0.0); - S147_DPHI_0_2PI_0->SetBinContent(9,0.0); - S147_DPHI_0_2PI_0->SetBinContent(10,0.0); - S147_DPHI_0_2PI_0->SetBinContent(11,0.0); - S147_DPHI_0_2PI_0->SetBinContent(12,0.0); - S147_DPHI_0_2PI_0->SetBinContent(13,0.0); - S147_DPHI_0_2PI_0->SetBinContent(14,0.0); - S147_DPHI_0_2PI_0->SetBinContent(15,0.0); - S147_DPHI_0_2PI_0->SetBinContent(16,0.0); - S147_DPHI_0_2PI_0->SetBinContent(17,0.0); - S147_DPHI_0_2PI_0->SetBinContent(18,0.0); - S147_DPHI_0_2PI_0->SetBinContent(19,0.0); - S147_DPHI_0_2PI_0->SetBinContent(20,0.0); - S147_DPHI_0_2PI_0->SetBinContent(21,0.0); - S147_DPHI_0_2PI_0->SetBinContent(22,0.0); - S147_DPHI_0_2PI_0->SetBinContent(23,0.0); - S147_DPHI_0_2PI_0->SetBinContent(24,0.0); - S147_DPHI_0_2PI_0->SetBinContent(25,0.0); - S147_DPHI_0_2PI_0->SetBinContent(26,0.0); - S147_DPHI_0_2PI_0->SetBinContent(27,0.0); - S147_DPHI_0_2PI_0->SetBinContent(28,0.0); - S147_DPHI_0_2PI_0->SetBinContent(29,0.0); - S147_DPHI_0_2PI_0->SetBinContent(30,0.0); - S147_DPHI_0_2PI_0->SetBinContent(31,0.0); - S147_DPHI_0_2PI_0->SetBinContent(32,0.0); - S147_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow - S147_DPHI_0_2PI_0->SetEntries(0); - // Style - S147_DPHI_0_2PI_0->SetLineColor(9); - S147_DPHI_0_2PI_0->SetLineStyle(1); - S147_DPHI_0_2PI_0->SetLineWidth(1); - S147_DPHI_0_2PI_0->SetFillColor(9); - S147_DPHI_0_2PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_294","mystack"); - stack->Add(S147_DPHI_0_2PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.04); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (mu, mu) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ mu, mu ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_146.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_146.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_146.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_146.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_146.py deleted file mode 100644 index 3278149a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_146.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_146(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) - - # Creating weights for histo: y147_DPHI_0_2PI_0 - y147_DPHI_0_2PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y147_DPHI_0_2PI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ mu, mu ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (mu, mu)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y147_DPHI_0_2PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y147_DPHI_0_2PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_146.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_146.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_146.eps') - -# Running! -if __name__ == '__main__': - selection_146() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_147.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_147.C deleted file mode 100644 index 895ecf2e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_147.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_147() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo295","canvas_plotflow_tempo295",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S148_M_0 = new TH1F("S148_M_0","S148_M_0",50,0.0,1000.0); - // Content - S148_M_0->SetBinContent(0,0.0); // underflow - S148_M_0->SetBinContent(1,0.0); - S148_M_0->SetBinContent(2,0.0); - S148_M_0->SetBinContent(3,0.0); - S148_M_0->SetBinContent(4,0.0); - S148_M_0->SetBinContent(5,0.0); - S148_M_0->SetBinContent(6,0.0); - S148_M_0->SetBinContent(7,0.0); - S148_M_0->SetBinContent(8,0.0); - S148_M_0->SetBinContent(9,0.0); - S148_M_0->SetBinContent(10,0.0); - S148_M_0->SetBinContent(11,0.0); - S148_M_0->SetBinContent(12,0.0); - S148_M_0->SetBinContent(13,0.0); - S148_M_0->SetBinContent(14,0.0); - S148_M_0->SetBinContent(15,0.0); - S148_M_0->SetBinContent(16,0.0); - S148_M_0->SetBinContent(17,0.0); - S148_M_0->SetBinContent(18,0.0); - S148_M_0->SetBinContent(19,0.0); - S148_M_0->SetBinContent(20,0.0); - S148_M_0->SetBinContent(21,0.0); - S148_M_0->SetBinContent(22,0.0); - S148_M_0->SetBinContent(23,0.0); - S148_M_0->SetBinContent(24,0.0); - S148_M_0->SetBinContent(25,0.0); - S148_M_0->SetBinContent(26,0.0); - S148_M_0->SetBinContent(27,0.0); - S148_M_0->SetBinContent(28,0.0); - S148_M_0->SetBinContent(29,0.0); - S148_M_0->SetBinContent(30,0.0); - S148_M_0->SetBinContent(31,0.0); - S148_M_0->SetBinContent(32,0.0); - S148_M_0->SetBinContent(33,0.0); - S148_M_0->SetBinContent(34,0.0); - S148_M_0->SetBinContent(35,0.0); - S148_M_0->SetBinContent(36,0.0); - S148_M_0->SetBinContent(37,0.0); - S148_M_0->SetBinContent(38,0.0); - S148_M_0->SetBinContent(39,0.0); - S148_M_0->SetBinContent(40,0.0); - S148_M_0->SetBinContent(41,0.0); - S148_M_0->SetBinContent(42,0.0); - S148_M_0->SetBinContent(43,0.0); - S148_M_0->SetBinContent(44,0.0); - S148_M_0->SetBinContent(45,0.0); - S148_M_0->SetBinContent(46,0.0); - S148_M_0->SetBinContent(47,0.0); - S148_M_0->SetBinContent(48,0.0); - S148_M_0->SetBinContent(49,0.0); - S148_M_0->SetBinContent(50,0.0); - S148_M_0->SetBinContent(51,0.0); // overflow - S148_M_0->SetEntries(0); - // Style - S148_M_0->SetLineColor(9); - S148_M_0->SetLineStyle(1); - S148_M_0->SetLineWidth(1); - S148_M_0->SetFillColor(9); - S148_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_296","mystack"); - stack->Add(S148_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu mu pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ mu mu ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_147.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_147.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_147.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_147.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_147.py deleted file mode 100644 index 988f8ace..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_147.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_147(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y148_M_0 - y148_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y148_M_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ mu mu ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ mu mu\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y148_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y148_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_147.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_147.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_147.eps') - -# Running! -if __name__ == '__main__': - selection_147() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_148.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_148.C deleted file mode 100644 index de030aee..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_148.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_148() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo297","canvas_plotflow_tempo297",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S149_PT_0 = new TH1F("S149_PT_0","S149_PT_0",50,0.0,1500.0); - // Content - S149_PT_0->SetBinContent(0,0.0); // underflow - S149_PT_0->SetBinContent(1,0.0); - S149_PT_0->SetBinContent(2,0.0); - S149_PT_0->SetBinContent(3,0.0); - S149_PT_0->SetBinContent(4,0.0); - S149_PT_0->SetBinContent(5,0.0); - S149_PT_0->SetBinContent(6,0.0); - S149_PT_0->SetBinContent(7,0.0); - S149_PT_0->SetBinContent(8,0.0); - S149_PT_0->SetBinContent(9,0.0); - S149_PT_0->SetBinContent(10,0.0); - S149_PT_0->SetBinContent(11,0.0); - S149_PT_0->SetBinContent(12,0.0); - S149_PT_0->SetBinContent(13,0.0); - S149_PT_0->SetBinContent(14,0.0); - S149_PT_0->SetBinContent(15,0.0); - S149_PT_0->SetBinContent(16,0.0); - S149_PT_0->SetBinContent(17,0.0); - S149_PT_0->SetBinContent(18,0.0); - S149_PT_0->SetBinContent(19,0.0); - S149_PT_0->SetBinContent(20,0.0); - S149_PT_0->SetBinContent(21,0.0); - S149_PT_0->SetBinContent(22,0.0); - S149_PT_0->SetBinContent(23,0.0); - S149_PT_0->SetBinContent(24,0.0); - S149_PT_0->SetBinContent(25,0.0); - S149_PT_0->SetBinContent(26,0.0); - S149_PT_0->SetBinContent(27,0.0); - S149_PT_0->SetBinContent(28,0.0); - S149_PT_0->SetBinContent(29,0.0); - S149_PT_0->SetBinContent(30,0.0); - S149_PT_0->SetBinContent(31,0.0); - S149_PT_0->SetBinContent(32,0.0); - S149_PT_0->SetBinContent(33,0.0); - S149_PT_0->SetBinContent(34,0.0); - S149_PT_0->SetBinContent(35,0.0); - S149_PT_0->SetBinContent(36,0.0); - S149_PT_0->SetBinContent(37,0.0); - S149_PT_0->SetBinContent(38,0.0); - S149_PT_0->SetBinContent(39,0.0); - S149_PT_0->SetBinContent(40,0.0); - S149_PT_0->SetBinContent(41,0.0); - S149_PT_0->SetBinContent(42,0.0); - S149_PT_0->SetBinContent(43,0.0); - S149_PT_0->SetBinContent(44,0.0); - S149_PT_0->SetBinContent(45,0.0); - S149_PT_0->SetBinContent(46,0.0); - S149_PT_0->SetBinContent(47,0.0); - S149_PT_0->SetBinContent(48,0.0); - S149_PT_0->SetBinContent(49,0.0); - S149_PT_0->SetBinContent(50,0.0); - S149_PT_0->SetBinContent(51,0.0); // overflow - S149_PT_0->SetEntries(0); - // Style - S149_PT_0->SetLineColor(9); - S149_PT_0->SetLineStyle(1); - S149_PT_0->SetLineWidth(1); - S149_PT_0->SetFillColor(9); - S149_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_298","mystack"); - stack->Add(S149_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu mu pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ mu mu ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_148.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_148.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_148.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_148.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_148.py deleted file mode 100644 index fc44105b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_148.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_148(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) - - # Creating weights for histo: y149_PT_0 - y149_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y149_PT_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ mu mu ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ mu mu\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y149_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y149_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_148.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_148.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_148.eps') - -# Running! -if __name__ == '__main__': - selection_148() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_149.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_149.C deleted file mode 100644 index f09950d7..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_149.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_149() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo299","canvas_plotflow_tempo299",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S150_DELTAR_0 = new TH1F("S150_DELTAR_0","S150_DELTAR_0",50,0.0,10.0); - // Content - S150_DELTAR_0->SetBinContent(0,0.0); // underflow - S150_DELTAR_0->SetBinContent(1,0.0); - S150_DELTAR_0->SetBinContent(2,0.0); - S150_DELTAR_0->SetBinContent(3,0.0); - S150_DELTAR_0->SetBinContent(4,0.0); - S150_DELTAR_0->SetBinContent(5,0.0); - S150_DELTAR_0->SetBinContent(6,0.0); - S150_DELTAR_0->SetBinContent(7,0.0); - S150_DELTAR_0->SetBinContent(8,0.0); - S150_DELTAR_0->SetBinContent(9,0.0); - S150_DELTAR_0->SetBinContent(10,0.0); - S150_DELTAR_0->SetBinContent(11,0.0); - S150_DELTAR_0->SetBinContent(12,0.0); - S150_DELTAR_0->SetBinContent(13,0.0); - S150_DELTAR_0->SetBinContent(14,0.0); - S150_DELTAR_0->SetBinContent(15,0.0); - S150_DELTAR_0->SetBinContent(16,0.0); - S150_DELTAR_0->SetBinContent(17,0.0); - S150_DELTAR_0->SetBinContent(18,0.0); - S150_DELTAR_0->SetBinContent(19,0.0); - S150_DELTAR_0->SetBinContent(20,0.0); - S150_DELTAR_0->SetBinContent(21,0.0); - S150_DELTAR_0->SetBinContent(22,0.0); - S150_DELTAR_0->SetBinContent(23,0.0); - S150_DELTAR_0->SetBinContent(24,0.0); - S150_DELTAR_0->SetBinContent(25,0.0); - S150_DELTAR_0->SetBinContent(26,0.0); - S150_DELTAR_0->SetBinContent(27,0.0); - S150_DELTAR_0->SetBinContent(28,0.0); - S150_DELTAR_0->SetBinContent(29,0.0); - S150_DELTAR_0->SetBinContent(30,0.0); - S150_DELTAR_0->SetBinContent(31,0.0); - S150_DELTAR_0->SetBinContent(32,0.0); - S150_DELTAR_0->SetBinContent(33,0.0); - S150_DELTAR_0->SetBinContent(34,0.0); - S150_DELTAR_0->SetBinContent(35,0.0); - S150_DELTAR_0->SetBinContent(36,0.0); - S150_DELTAR_0->SetBinContent(37,0.0); - S150_DELTAR_0->SetBinContent(38,0.0); - S150_DELTAR_0->SetBinContent(39,0.0); - S150_DELTAR_0->SetBinContent(40,0.0); - S150_DELTAR_0->SetBinContent(41,0.0); - S150_DELTAR_0->SetBinContent(42,0.0); - S150_DELTAR_0->SetBinContent(43,0.0); - S150_DELTAR_0->SetBinContent(44,0.0); - S150_DELTAR_0->SetBinContent(45,0.0); - S150_DELTAR_0->SetBinContent(46,0.0); - S150_DELTAR_0->SetBinContent(47,0.0); - S150_DELTAR_0->SetBinContent(48,0.0); - S150_DELTAR_0->SetBinContent(49,0.0); - S150_DELTAR_0->SetBinContent(50,0.0); - S150_DELTAR_0->SetBinContent(51,0.0); // overflow - S150_DELTAR_0->SetEntries(0); - // Style - S150_DELTAR_0->SetLineColor(9); - S150_DELTAR_0->SetLineStyle(1); - S150_DELTAR_0->SetLineWidth(1); - S150_DELTAR_0->SetFillColor(9); - S150_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_300","mystack"); - stack->Add(S150_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (b, b) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ b, b ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_149.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_149.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_149.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_149.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_149.py deleted file mode 100644 index 0311f16e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_149.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_149(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y150_DELTAR_0 - y150_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y150_DELTAR_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ b, b ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (b, b)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y150_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y150_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_149.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_149.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_149.eps') - -# Running! -if __name__ == '__main__': - selection_149() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_15.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_15.C deleted file mode 100644 index fe92eda0..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_15.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_15() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo31","canvas_plotflow_tempo31",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S16_E_0 = new TH1F("S16_E_0","S16_E_0",50,0.0,2000.0); - // Content - S16_E_0->SetBinContent(0,0.0); // underflow - S16_E_0->SetBinContent(1,2.178144); - S16_E_0->SetBinContent(2,2.718818); - S16_E_0->SetBinContent(3,1.220379); - S16_E_0->SetBinContent(4,0.6179132); - S16_E_0->SetBinContent(5,0.4634349); - S16_E_0->SetBinContent(6,0.1544783); - S16_E_0->SetBinContent(7,0.1544783); - S16_E_0->SetBinContent(8,0.1544783); - S16_E_0->SetBinContent(9,0.04634349); - S16_E_0->SetBinContent(10,0.04634349); - S16_E_0->SetBinContent(11,0.01544783); - S16_E_0->SetBinContent(12,0.0); - S16_E_0->SetBinContent(13,0.04634349); - S16_E_0->SetBinContent(14,0.0); - S16_E_0->SetBinContent(15,0.0); - S16_E_0->SetBinContent(16,0.0); - S16_E_0->SetBinContent(17,0.0); - S16_E_0->SetBinContent(18,0.0); - S16_E_0->SetBinContent(19,0.0); - S16_E_0->SetBinContent(20,0.0); - S16_E_0->SetBinContent(21,0.0); - S16_E_0->SetBinContent(22,0.0); - S16_E_0->SetBinContent(23,0.0); - S16_E_0->SetBinContent(24,0.0); - S16_E_0->SetBinContent(25,0.0); - S16_E_0->SetBinContent(26,0.0); - S16_E_0->SetBinContent(27,0.0); - S16_E_0->SetBinContent(28,0.0); - S16_E_0->SetBinContent(29,0.0); - S16_E_0->SetBinContent(30,0.0); - S16_E_0->SetBinContent(31,0.0); - S16_E_0->SetBinContent(32,0.0); - S16_E_0->SetBinContent(33,0.0); - S16_E_0->SetBinContent(34,0.0); - S16_E_0->SetBinContent(35,0.0); - S16_E_0->SetBinContent(36,0.0); - S16_E_0->SetBinContent(37,0.0); - S16_E_0->SetBinContent(38,0.0); - S16_E_0->SetBinContent(39,0.0); - S16_E_0->SetBinContent(40,0.0); - S16_E_0->SetBinContent(41,0.0); - S16_E_0->SetBinContent(42,0.0); - S16_E_0->SetBinContent(43,0.0); - S16_E_0->SetBinContent(44,0.0); - S16_E_0->SetBinContent(45,0.0); - S16_E_0->SetBinContent(46,0.0); - S16_E_0->SetBinContent(47,0.0); - S16_E_0->SetBinContent(48,0.0); - S16_E_0->SetBinContent(49,0.0); - S16_E_0->SetBinContent(50,0.0); - S16_E_0->SetBinContent(51,0.0); // overflow - S16_E_0->SetEntries(506); - // Style - S16_E_0->SetLineColor(9); - S16_E_0->SetLineStyle(1); - S16_E_0->SetLineWidth(1); - S16_E_0->SetFillColor(9); - S16_E_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_32","mystack"); - stack->Add(S16_E_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E [ e ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_15.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_15.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_15.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_15.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_15.py deleted file mode 100644 index 62f9722d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_15.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_15(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y16_E_0 - y16_E_0_weights = numpy.array([2.178144,2.718818,1.220379,0.6179132,0.4634349,0.1544783,0.1544783,0.1544783,0.04634349,0.04634349,0.01544783,0.0,0.04634349,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y16_E_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E$ $[ e ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y16_E_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y16_E_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_15.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_15.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_15.eps') - -# Running! -if __name__ == '__main__': - selection_15() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_150.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_150.C deleted file mode 100644 index 3086f211..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_150.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_150() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo301","canvas_plotflow_tempo301",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S151_DPHI_0_PI_0 = new TH1F("S151_DPHI_0_PI_0","S151_DPHI_0_PI_0",32,0.0,3.2); - // Content - S151_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow - S151_DPHI_0_PI_0->SetBinContent(1,0.0); - S151_DPHI_0_PI_0->SetBinContent(2,0.0); - S151_DPHI_0_PI_0->SetBinContent(3,0.0); - S151_DPHI_0_PI_0->SetBinContent(4,0.0); - S151_DPHI_0_PI_0->SetBinContent(5,0.0); - S151_DPHI_0_PI_0->SetBinContent(6,0.0); - S151_DPHI_0_PI_0->SetBinContent(7,0.0); - S151_DPHI_0_PI_0->SetBinContent(8,0.0); - S151_DPHI_0_PI_0->SetBinContent(9,0.0); - S151_DPHI_0_PI_0->SetBinContent(10,0.0); - S151_DPHI_0_PI_0->SetBinContent(11,0.0); - S151_DPHI_0_PI_0->SetBinContent(12,0.0); - S151_DPHI_0_PI_0->SetBinContent(13,0.0); - S151_DPHI_0_PI_0->SetBinContent(14,0.0); - S151_DPHI_0_PI_0->SetBinContent(15,0.0); - S151_DPHI_0_PI_0->SetBinContent(16,0.0); - S151_DPHI_0_PI_0->SetBinContent(17,0.0); - S151_DPHI_0_PI_0->SetBinContent(18,0.0); - S151_DPHI_0_PI_0->SetBinContent(19,0.0); - S151_DPHI_0_PI_0->SetBinContent(20,0.0); - S151_DPHI_0_PI_0->SetBinContent(21,0.0); - S151_DPHI_0_PI_0->SetBinContent(22,0.0); - S151_DPHI_0_PI_0->SetBinContent(23,0.0); - S151_DPHI_0_PI_0->SetBinContent(24,0.0); - S151_DPHI_0_PI_0->SetBinContent(25,0.0); - S151_DPHI_0_PI_0->SetBinContent(26,0.0); - S151_DPHI_0_PI_0->SetBinContent(27,0.0); - S151_DPHI_0_PI_0->SetBinContent(28,0.0); - S151_DPHI_0_PI_0->SetBinContent(29,0.0); - S151_DPHI_0_PI_0->SetBinContent(30,0.0); - S151_DPHI_0_PI_0->SetBinContent(31,0.0); - S151_DPHI_0_PI_0->SetBinContent(32,0.0); - S151_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow - S151_DPHI_0_PI_0->SetEntries(0); - // Style - S151_DPHI_0_PI_0->SetLineColor(9); - S151_DPHI_0_PI_0->SetLineStyle(1); - S151_DPHI_0_PI_0->SetLineWidth(1); - S151_DPHI_0_PI_0->SetFillColor(9); - S151_DPHI_0_PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_302","mystack"); - stack->Add(S151_DPHI_0_PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (b, b) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ b, b ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_150.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_150.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_150.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_150.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_150.py deleted file mode 100644 index 199e2f02..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_150.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_150(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) - - # Creating weights for histo: y151_DPHI_0_PI_0 - y151_DPHI_0_PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y151_DPHI_0_PI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ b, b ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (b, b)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y151_DPHI_0_PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y151_DPHI_0_PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_150.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_150.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_150.eps') - -# Running! -if __name__ == '__main__': - selection_150() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_151.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_151.C deleted file mode 100644 index 9e3cf7b4..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_151.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_151() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo303","canvas_plotflow_tempo303",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S152_DPHI_0_2PI_0 = new TH1F("S152_DPHI_0_2PI_0","S152_DPHI_0_2PI_0",32,0.0,6.4); - // Content - S152_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow - S152_DPHI_0_2PI_0->SetBinContent(1,0.0); - S152_DPHI_0_2PI_0->SetBinContent(2,0.0); - S152_DPHI_0_2PI_0->SetBinContent(3,0.0); - S152_DPHI_0_2PI_0->SetBinContent(4,0.0); - S152_DPHI_0_2PI_0->SetBinContent(5,0.0); - S152_DPHI_0_2PI_0->SetBinContent(6,0.0); - S152_DPHI_0_2PI_0->SetBinContent(7,0.0); - S152_DPHI_0_2PI_0->SetBinContent(8,0.0); - S152_DPHI_0_2PI_0->SetBinContent(9,0.0); - S152_DPHI_0_2PI_0->SetBinContent(10,0.0); - S152_DPHI_0_2PI_0->SetBinContent(11,0.0); - S152_DPHI_0_2PI_0->SetBinContent(12,0.0); - S152_DPHI_0_2PI_0->SetBinContent(13,0.0); - S152_DPHI_0_2PI_0->SetBinContent(14,0.0); - S152_DPHI_0_2PI_0->SetBinContent(15,0.0); - S152_DPHI_0_2PI_0->SetBinContent(16,0.0); - S152_DPHI_0_2PI_0->SetBinContent(17,0.0); - S152_DPHI_0_2PI_0->SetBinContent(18,0.0); - S152_DPHI_0_2PI_0->SetBinContent(19,0.0); - S152_DPHI_0_2PI_0->SetBinContent(20,0.0); - S152_DPHI_0_2PI_0->SetBinContent(21,0.0); - S152_DPHI_0_2PI_0->SetBinContent(22,0.0); - S152_DPHI_0_2PI_0->SetBinContent(23,0.0); - S152_DPHI_0_2PI_0->SetBinContent(24,0.0); - S152_DPHI_0_2PI_0->SetBinContent(25,0.0); - S152_DPHI_0_2PI_0->SetBinContent(26,0.0); - S152_DPHI_0_2PI_0->SetBinContent(27,0.0); - S152_DPHI_0_2PI_0->SetBinContent(28,0.0); - S152_DPHI_0_2PI_0->SetBinContent(29,0.0); - S152_DPHI_0_2PI_0->SetBinContent(30,0.0); - S152_DPHI_0_2PI_0->SetBinContent(31,0.0); - S152_DPHI_0_2PI_0->SetBinContent(32,0.0); - S152_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow - S152_DPHI_0_2PI_0->SetEntries(0); - // Style - S152_DPHI_0_2PI_0->SetLineColor(9); - S152_DPHI_0_2PI_0->SetLineStyle(1); - S152_DPHI_0_2PI_0->SetLineWidth(1); - S152_DPHI_0_2PI_0->SetFillColor(9); - S152_DPHI_0_2PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_304","mystack"); - stack->Add(S152_DPHI_0_2PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (b, b) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ b, b ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_151.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_151.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_151.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_151.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_151.py deleted file mode 100644 index ad2ba20e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_151.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_151(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) - - # Creating weights for histo: y152_DPHI_0_2PI_0 - y152_DPHI_0_2PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y152_DPHI_0_2PI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ b, b ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (b, b)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y152_DPHI_0_2PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y152_DPHI_0_2PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_151.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_151.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_151.eps') - -# Running! -if __name__ == '__main__': - selection_151() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_152.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_152.C deleted file mode 100644 index 0b5e36c0..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_152.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_152() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo305","canvas_plotflow_tempo305",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S153_M_0 = new TH1F("S153_M_0","S153_M_0",50,0.0,2000.0); - // Content - S153_M_0->SetBinContent(0,0.0); // underflow - S153_M_0->SetBinContent(1,0.0); - S153_M_0->SetBinContent(2,0.0); - S153_M_0->SetBinContent(3,0.0); - S153_M_0->SetBinContent(4,0.0); - S153_M_0->SetBinContent(5,0.0); - S153_M_0->SetBinContent(6,0.0); - S153_M_0->SetBinContent(7,0.0); - S153_M_0->SetBinContent(8,0.0); - S153_M_0->SetBinContent(9,0.0); - S153_M_0->SetBinContent(10,0.0); - S153_M_0->SetBinContent(11,0.0); - S153_M_0->SetBinContent(12,0.0); - S153_M_0->SetBinContent(13,0.0); - S153_M_0->SetBinContent(14,0.0); - S153_M_0->SetBinContent(15,0.0); - S153_M_0->SetBinContent(16,0.0); - S153_M_0->SetBinContent(17,0.0); - S153_M_0->SetBinContent(18,0.0); - S153_M_0->SetBinContent(19,0.0); - S153_M_0->SetBinContent(20,0.0); - S153_M_0->SetBinContent(21,0.0); - S153_M_0->SetBinContent(22,0.0); - S153_M_0->SetBinContent(23,0.0); - S153_M_0->SetBinContent(24,0.0); - S153_M_0->SetBinContent(25,0.0); - S153_M_0->SetBinContent(26,0.0); - S153_M_0->SetBinContent(27,0.0); - S153_M_0->SetBinContent(28,0.0); - S153_M_0->SetBinContent(29,0.0); - S153_M_0->SetBinContent(30,0.0); - S153_M_0->SetBinContent(31,0.0); - S153_M_0->SetBinContent(32,0.0); - S153_M_0->SetBinContent(33,0.0); - S153_M_0->SetBinContent(34,0.0); - S153_M_0->SetBinContent(35,0.0); - S153_M_0->SetBinContent(36,0.0); - S153_M_0->SetBinContent(37,0.0); - S153_M_0->SetBinContent(38,0.0); - S153_M_0->SetBinContent(39,0.0); - S153_M_0->SetBinContent(40,0.0); - S153_M_0->SetBinContent(41,0.0); - S153_M_0->SetBinContent(42,0.0); - S153_M_0->SetBinContent(43,0.0); - S153_M_0->SetBinContent(44,0.0); - S153_M_0->SetBinContent(45,0.0); - S153_M_0->SetBinContent(46,0.0); - S153_M_0->SetBinContent(47,0.0); - S153_M_0->SetBinContent(48,0.0); - S153_M_0->SetBinContent(49,0.0); - S153_M_0->SetBinContent(50,0.0); - S153_M_0->SetBinContent(51,0.0); // overflow - S153_M_0->SetEntries(0); - // Style - S153_M_0->SetLineColor(9); - S153_M_0->SetLineStyle(1); - S153_M_0->SetLineWidth(1); - S153_M_0->SetFillColor(9); - S153_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_306","mystack"); - stack->Add(S153_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b b pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ b b ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_152.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_152.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_152.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_152.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_152.py deleted file mode 100644 index 1424fd49..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_152.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_152(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y153_M_0 - y153_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y153_M_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ b b ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ b b\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y153_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y153_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_152.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_152.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_152.eps') - -# Running! -if __name__ == '__main__': - selection_152() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_153.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_153.C deleted file mode 100644 index 5ba0e74b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_153.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_153() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo307","canvas_plotflow_tempo307",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S154_PT_0 = new TH1F("S154_PT_0","S154_PT_0",50,0.0,2000.0); - // Content - S154_PT_0->SetBinContent(0,0.0); // underflow - S154_PT_0->SetBinContent(1,0.0); - S154_PT_0->SetBinContent(2,0.0); - S154_PT_0->SetBinContent(3,0.0); - S154_PT_0->SetBinContent(4,0.0); - S154_PT_0->SetBinContent(5,0.0); - S154_PT_0->SetBinContent(6,0.0); - S154_PT_0->SetBinContent(7,0.0); - S154_PT_0->SetBinContent(8,0.0); - S154_PT_0->SetBinContent(9,0.0); - S154_PT_0->SetBinContent(10,0.0); - S154_PT_0->SetBinContent(11,0.0); - S154_PT_0->SetBinContent(12,0.0); - S154_PT_0->SetBinContent(13,0.0); - S154_PT_0->SetBinContent(14,0.0); - S154_PT_0->SetBinContent(15,0.0); - S154_PT_0->SetBinContent(16,0.0); - S154_PT_0->SetBinContent(17,0.0); - S154_PT_0->SetBinContent(18,0.0); - S154_PT_0->SetBinContent(19,0.0); - S154_PT_0->SetBinContent(20,0.0); - S154_PT_0->SetBinContent(21,0.0); - S154_PT_0->SetBinContent(22,0.0); - S154_PT_0->SetBinContent(23,0.0); - S154_PT_0->SetBinContent(24,0.0); - S154_PT_0->SetBinContent(25,0.0); - S154_PT_0->SetBinContent(26,0.0); - S154_PT_0->SetBinContent(27,0.0); - S154_PT_0->SetBinContent(28,0.0); - S154_PT_0->SetBinContent(29,0.0); - S154_PT_0->SetBinContent(30,0.0); - S154_PT_0->SetBinContent(31,0.0); - S154_PT_0->SetBinContent(32,0.0); - S154_PT_0->SetBinContent(33,0.0); - S154_PT_0->SetBinContent(34,0.0); - S154_PT_0->SetBinContent(35,0.0); - S154_PT_0->SetBinContent(36,0.0); - S154_PT_0->SetBinContent(37,0.0); - S154_PT_0->SetBinContent(38,0.0); - S154_PT_0->SetBinContent(39,0.0); - S154_PT_0->SetBinContent(40,0.0); - S154_PT_0->SetBinContent(41,0.0); - S154_PT_0->SetBinContent(42,0.0); - S154_PT_0->SetBinContent(43,0.0); - S154_PT_0->SetBinContent(44,0.0); - S154_PT_0->SetBinContent(45,0.0); - S154_PT_0->SetBinContent(46,0.0); - S154_PT_0->SetBinContent(47,0.0); - S154_PT_0->SetBinContent(48,0.0); - S154_PT_0->SetBinContent(49,0.0); - S154_PT_0->SetBinContent(50,0.0); - S154_PT_0->SetBinContent(51,0.0); // overflow - S154_PT_0->SetEntries(0); - // Style - S154_PT_0->SetLineColor(9); - S154_PT_0->SetLineStyle(1); - S154_PT_0->SetLineWidth(1); - S154_PT_0->SetFillColor(9); - S154_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_308","mystack"); - stack->Add(S154_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b b pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ b b ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_153.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_153.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_153.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_153.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_153.py deleted file mode 100644 index bcd4cb36..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_153.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_153(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y154_PT_0 - y154_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y154_PT_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ b b ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ b b\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y154_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y154_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_153.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_153.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_153.eps') - -# Running! -if __name__ == '__main__': - selection_153() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_154.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_154.C deleted file mode 100644 index ac45e14c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_154.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_154() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo309","canvas_plotflow_tempo309",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S155_DELTAR_0 = new TH1F("S155_DELTAR_0","S155_DELTAR_0",50,0.0,10.0); - // Content - S155_DELTAR_0->SetBinContent(0,0.0); // underflow - S155_DELTAR_0->SetBinContent(1,0.0); - S155_DELTAR_0->SetBinContent(2,0.0); - S155_DELTAR_0->SetBinContent(3,0.2780609); - S155_DELTAR_0->SetBinContent(4,0.7106002); - S155_DELTAR_0->SetBinContent(5,1.328513); - S155_DELTAR_0->SetBinContent(6,2.842401); - S155_DELTAR_0->SetBinContent(7,2.842401); - S155_DELTAR_0->SetBinContent(8,3.27494); - S155_DELTAR_0->SetBinContent(9,3.120462); - S155_DELTAR_0->SetBinContent(10,3.182253); - S155_DELTAR_0->SetBinContent(11,3.367627); - S155_DELTAR_0->SetBinContent(12,2.224487); - S155_DELTAR_0->SetBinContent(13,1.884635); - S155_DELTAR_0->SetBinContent(14,2.070009); - S155_DELTAR_0->SetBinContent(15,1.761053); - S155_DELTAR_0->SetBinContent(16,1.204931); - S155_DELTAR_0->SetBinContent(17,0.5561219); - S155_DELTAR_0->SetBinContent(18,0.2162696); - S155_DELTAR_0->SetBinContent(19,0.0); - S155_DELTAR_0->SetBinContent(20,0.03089566); - S155_DELTAR_0->SetBinContent(21,0.0); - S155_DELTAR_0->SetBinContent(22,0.0); - S155_DELTAR_0->SetBinContent(23,0.0); - S155_DELTAR_0->SetBinContent(24,0.0); - S155_DELTAR_0->SetBinContent(25,0.0); - S155_DELTAR_0->SetBinContent(26,0.0); - S155_DELTAR_0->SetBinContent(27,0.0); - S155_DELTAR_0->SetBinContent(28,0.0); - S155_DELTAR_0->SetBinContent(29,0.0); - S155_DELTAR_0->SetBinContent(30,0.0); - S155_DELTAR_0->SetBinContent(31,0.0); - S155_DELTAR_0->SetBinContent(32,0.0); - S155_DELTAR_0->SetBinContent(33,0.0); - S155_DELTAR_0->SetBinContent(34,0.0); - S155_DELTAR_0->SetBinContent(35,0.0); - S155_DELTAR_0->SetBinContent(36,0.0); - S155_DELTAR_0->SetBinContent(37,0.0); - S155_DELTAR_0->SetBinContent(38,0.0); - S155_DELTAR_0->SetBinContent(39,0.0); - S155_DELTAR_0->SetBinContent(40,0.0); - S155_DELTAR_0->SetBinContent(41,0.0); - S155_DELTAR_0->SetBinContent(42,0.0); - S155_DELTAR_0->SetBinContent(43,0.0); - S155_DELTAR_0->SetBinContent(44,0.0); - S155_DELTAR_0->SetBinContent(45,0.0); - S155_DELTAR_0->SetBinContent(46,0.0); - S155_DELTAR_0->SetBinContent(47,0.0); - S155_DELTAR_0->SetBinContent(48,0.0); - S155_DELTAR_0->SetBinContent(49,0.0); - S155_DELTAR_0->SetBinContent(50,0.0); - S155_DELTAR_0->SetBinContent(51,0.0); // overflow - S155_DELTAR_0->SetEntries(2000); - // Style - S155_DELTAR_0->SetLineColor(9); - S155_DELTAR_0->SetLineStyle(1); - S155_DELTAR_0->SetLineWidth(1); - S155_DELTAR_0->SetFillColor(9); - S155_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_310","mystack"); - stack->Add(S155_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (j, j) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ j, j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_154.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_154.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_154.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_154.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_154.py deleted file mode 100644 index 77081d33..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_154.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_154(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y155_DELTAR_0 - y155_DELTAR_0_weights = numpy.array([0.0,0.0,0.2780609,0.7106002,1.328513,2.842401,2.842401,3.27494,3.120462,3.182253,3.367627,2.224487,1.884635,2.070009,1.761053,1.204931,0.5561219,0.2162696,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y155_DELTAR_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ j, j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (j, j)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y155_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y155_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_154.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_154.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_154.eps') - -# Running! -if __name__ == '__main__': - selection_154() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_155.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_155.C deleted file mode 100644 index 073031e4..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_155.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_155() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo311","canvas_plotflow_tempo311",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S156_DPHI_0_PI_0 = new TH1F("S156_DPHI_0_PI_0","S156_DPHI_0_PI_0",32,0.0,3.2); - // Content - S156_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow - S156_DPHI_0_PI_0->SetBinContent(1,0.5870175); - S156_DPHI_0_PI_0->SetBinContent(2,0.7723915); - S156_DPHI_0_PI_0->SetBinContent(3,0.7106002); - S156_DPHI_0_PI_0->SetBinContent(4,0.6488089); - S156_DPHI_0_PI_0->SetBinContent(5,0.8032872); - S156_DPHI_0_PI_0->SetBinContent(6,0.7414958); - S156_DPHI_0_PI_0->SetBinContent(7,0.8650785); - S156_DPHI_0_PI_0->SetBinContent(8,0.9268698); - S156_DPHI_0_PI_0->SetBinContent(9,1.204931); - S156_DPHI_0_PI_0->SetBinContent(10,1.143139); - S156_DPHI_0_PI_0->SetBinContent(11,1.575679); - S156_DPHI_0_PI_0->SetBinContent(12,1.359409); - S156_DPHI_0_PI_0->SetBinContent(13,1.575679); - S156_DPHI_0_PI_0->SetBinContent(14,0.8341828); - S156_DPHI_0_PI_0->SetBinContent(15,1.204931); - S156_DPHI_0_PI_0->SetBinContent(16,1.544783); - S156_DPHI_0_PI_0->SetBinContent(17,1.143139); - S156_DPHI_0_PI_0->SetBinContent(18,1.081348); - S156_DPHI_0_PI_0->SetBinContent(19,1.112244); - S156_DPHI_0_PI_0->SetBinContent(20,1.174035); - S156_DPHI_0_PI_0->SetBinContent(21,1.297618); - S156_DPHI_0_PI_0->SetBinContent(22,1.143139); - S156_DPHI_0_PI_0->SetBinContent(23,0.9886611); - S156_DPHI_0_PI_0->SetBinContent(24,0.8650785); - S156_DPHI_0_PI_0->SetBinContent(25,0.7106002); - S156_DPHI_0_PI_0->SetBinContent(26,0.7723915); - S156_DPHI_0_PI_0->SetBinContent(27,0.9577655); - S156_DPHI_0_PI_0->SetBinContent(28,0.8959741); - S156_DPHI_0_PI_0->SetBinContent(29,0.6797045); - S156_DPHI_0_PI_0->SetBinContent(30,0.7106002); - S156_DPHI_0_PI_0->SetBinContent(31,0.4634349); - S156_DPHI_0_PI_0->SetBinContent(32,0.4016436); - S156_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow - S156_DPHI_0_PI_0->SetEntries(2000); - // Style - S156_DPHI_0_PI_0->SetLineColor(9); - S156_DPHI_0_PI_0->SetLineStyle(1); - S156_DPHI_0_PI_0->SetLineWidth(1); - S156_DPHI_0_PI_0->SetFillColor(9); - S156_DPHI_0_PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_312","mystack"); - stack->Add(S156_DPHI_0_PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (j, j) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ j, j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_155.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_155.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_155.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_155.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_155.py deleted file mode 100644 index ea7a8456..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_155.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_155(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) - - # Creating weights for histo: y156_DPHI_0_PI_0 - y156_DPHI_0_PI_0_weights = numpy.array([0.5870175,0.7723915,0.7106002,0.6488089,0.8032872,0.7414958,0.8650785,0.9268698,1.204931,1.143139,1.575679,1.359409,1.575679,0.8341828,1.204931,1.544783,1.143139,1.081348,1.112244,1.174035,1.297618,1.143139,0.9886611,0.8650785,0.7106002,0.7723915,0.9577655,0.8959741,0.6797045,0.7106002,0.4634349,0.4016436]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y156_DPHI_0_PI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ j, j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (j, j)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y156_DPHI_0_PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y156_DPHI_0_PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_155.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_155.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_155.eps') - -# Running! -if __name__ == '__main__': - selection_155() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_156.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_156.C deleted file mode 100644 index 4ff0d868..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_156.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_156() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo313","canvas_plotflow_tempo313",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S157_DPHI_0_2PI_0 = new TH1F("S157_DPHI_0_2PI_0","S157_DPHI_0_2PI_0",32,0.0,6.4); - // Content - S157_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow - S157_DPHI_0_2PI_0->SetBinContent(1,0.6797045); - S157_DPHI_0_2PI_0->SetBinContent(2,0.6797045); - S157_DPHI_0_2PI_0->SetBinContent(3,0.7723915); - S157_DPHI_0_2PI_0->SetBinContent(4,0.8959741); - S157_DPHI_0_2PI_0->SetBinContent(5,1.174035); - S157_DPHI_0_2PI_0->SetBinContent(6,1.467544); - S157_DPHI_0_2PI_0->SetBinContent(7,1.204931); - S157_DPHI_0_2PI_0->SetBinContent(8,1.374857); - S157_DPHI_0_2PI_0->SetBinContent(9,1.112244); - S157_DPHI_0_2PI_0->SetBinContent(10,1.143139); - S157_DPHI_0_2PI_0->SetBinContent(11,1.220379); - S157_DPHI_0_2PI_0->SetBinContent(12,0.9268698); - S157_DPHI_0_2PI_0->SetBinContent(13,0.7414958); - S157_DPHI_0_2PI_0->SetBinContent(14,0.9268698); - S157_DPHI_0_2PI_0->SetBinContent(15,0.6951523); - S157_DPHI_0_2PI_0->SetBinContent(16,0.6488089); - S157_DPHI_0_2PI_0->SetBinContent(17,0.5870175); - S157_DPHI_0_2PI_0->SetBinContent(18,0.8805263); - S157_DPHI_0_2PI_0->SetBinContent(19,0.8032872); - S157_DPHI_0_2PI_0->SetBinContent(20,0.8650785); - S157_DPHI_0_2PI_0->SetBinContent(21,1.0659); - S157_DPHI_0_2PI_0->SetBinContent(22,1.189483); - S157_DPHI_0_2PI_0->SetBinContent(23,1.112244); - S157_DPHI_0_2PI_0->SetBinContent(24,1.390305); - S157_DPHI_0_2PI_0->SetBinContent(25,1.004109); - S157_DPHI_0_2PI_0->SetBinContent(26,1.436648); - S157_DPHI_0_2PI_0->SetBinContent(27,1.359409); - S157_DPHI_0_2PI_0->SetBinContent(28,1.019557); - S157_DPHI_0_2PI_0->SetBinContent(29,0.8341828); - S157_DPHI_0_2PI_0->SetBinContent(30,0.726048); - S157_DPHI_0_2PI_0->SetBinContent(31,0.726048); - S157_DPHI_0_2PI_0->SetBinContent(32,0.2317174); - S157_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow - S157_DPHI_0_2PI_0->SetEntries(2000); - // Style - S157_DPHI_0_2PI_0->SetLineColor(9); - S157_DPHI_0_2PI_0->SetLineStyle(1); - S157_DPHI_0_2PI_0->SetLineWidth(1); - S157_DPHI_0_2PI_0->SetFillColor(9); - S157_DPHI_0_2PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_314","mystack"); - stack->Add(S157_DPHI_0_2PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (j, j) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ j, j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_156.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_156.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_156.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_156.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_156.py deleted file mode 100644 index 9d4151e1..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_156.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_156(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) - - # Creating weights for histo: y157_DPHI_0_2PI_0 - y157_DPHI_0_2PI_0_weights = numpy.array([0.6797045,0.6797045,0.7723915,0.8959741,1.174035,1.467544,1.204931,1.374857,1.112244,1.143139,1.220379,0.9268698,0.7414958,0.9268698,0.6951523,0.6488089,0.5870175,0.8805263,0.8032872,0.8650785,1.0659,1.189483,1.112244,1.390305,1.004109,1.436648,1.359409,1.019557,0.8341828,0.726048,0.726048,0.2317174]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y157_DPHI_0_2PI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ j, j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (j, j)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y157_DPHI_0_2PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y157_DPHI_0_2PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_156.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_156.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_156.eps') - -# Running! -if __name__ == '__main__': - selection_156() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_157.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_157.C deleted file mode 100644 index 9cbe4150..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_157.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_157() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo315","canvas_plotflow_tempo315",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S158_M_0 = new TH1F("S158_M_0","S158_M_0",50,0.0,3000.0); - // Content - S158_M_0->SetBinContent(0,0.0); // underflow - S158_M_0->SetBinContent(1,0.07723915); - S158_M_0->SetBinContent(2,15.37059); - S158_M_0->SetBinContent(3,0.0); - S158_M_0->SetBinContent(4,0.0); - S158_M_0->SetBinContent(5,0.0); - S158_M_0->SetBinContent(6,0.0); - S158_M_0->SetBinContent(7,0.0); - S158_M_0->SetBinContent(8,0.0); - S158_M_0->SetBinContent(9,0.0); - S158_M_0->SetBinContent(10,0.0); - S158_M_0->SetBinContent(11,0.0); - S158_M_0->SetBinContent(12,0.0); - S158_M_0->SetBinContent(13,0.0); - S158_M_0->SetBinContent(14,0.0); - S158_M_0->SetBinContent(15,0.0); - S158_M_0->SetBinContent(16,0.0); - S158_M_0->SetBinContent(17,0.0); - S158_M_0->SetBinContent(18,0.0); - S158_M_0->SetBinContent(19,0.0); - S158_M_0->SetBinContent(20,0.0); - S158_M_0->SetBinContent(21,0.0); - S158_M_0->SetBinContent(22,0.0); - S158_M_0->SetBinContent(23,0.0); - S158_M_0->SetBinContent(24,0.0); - S158_M_0->SetBinContent(25,0.0); - S158_M_0->SetBinContent(26,0.0); - S158_M_0->SetBinContent(27,0.0); - S158_M_0->SetBinContent(28,0.0); - S158_M_0->SetBinContent(29,0.0); - S158_M_0->SetBinContent(30,0.0); - S158_M_0->SetBinContent(31,0.0); - S158_M_0->SetBinContent(32,0.0); - S158_M_0->SetBinContent(33,0.0); - S158_M_0->SetBinContent(34,0.0); - S158_M_0->SetBinContent(35,0.0); - S158_M_0->SetBinContent(36,0.0); - S158_M_0->SetBinContent(37,0.0); - S158_M_0->SetBinContent(38,0.0); - S158_M_0->SetBinContent(39,0.0); - S158_M_0->SetBinContent(40,0.0); - S158_M_0->SetBinContent(41,0.0); - S158_M_0->SetBinContent(42,0.0); - S158_M_0->SetBinContent(43,0.0); - S158_M_0->SetBinContent(44,0.0); - S158_M_0->SetBinContent(45,0.0); - S158_M_0->SetBinContent(46,0.0); - S158_M_0->SetBinContent(47,0.0); - S158_M_0->SetBinContent(48,0.0); - S158_M_0->SetBinContent(49,0.0); - S158_M_0->SetBinContent(50,0.0); - S158_M_0->SetBinContent(51,0.0); // overflow - S158_M_0->SetEntries(1000); - // Style - S158_M_0->SetLineColor(9); - S158_M_0->SetLineStyle(1); - S158_M_0->SetLineWidth(1); - S158_M_0->SetFillColor(9); - S158_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_316","mystack"); - stack->Add(S158_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j j pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ j j ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_157.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_157.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_157.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_157.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_157.py deleted file mode 100644 index 63c5575a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_157.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_157(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) - - # Creating weights for histo: y158_M_0 - y158_M_0_weights = numpy.array([0.07723915,15.37059,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y158_M_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ j j ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ j j\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y158_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y158_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_157.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_157.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_157.eps') - -# Running! -if __name__ == '__main__': - selection_157() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_158.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_158.C deleted file mode 100644 index 057a6641..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_158.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_158() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo317","canvas_plotflow_tempo317",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S159_PT_0 = new TH1F("S159_PT_0","S159_PT_0",50,0.0,3000.0); - // Content - S159_PT_0->SetBinContent(0,0.0); // underflow - S159_PT_0->SetBinContent(1,5.514875); - S159_PT_0->SetBinContent(2,6.472641); - S159_PT_0->SetBinContent(3,2.595235); - S159_PT_0->SetBinContent(4,0.6024654); - S159_PT_0->SetBinContent(5,0.1544783); - S159_PT_0->SetBinContent(6,0.07723915); - S159_PT_0->SetBinContent(7,0.03089566); - S159_PT_0->SetBinContent(8,0.0); - S159_PT_0->SetBinContent(9,0.0); - S159_PT_0->SetBinContent(10,0.0); - S159_PT_0->SetBinContent(11,0.0); - S159_PT_0->SetBinContent(12,0.0); - S159_PT_0->SetBinContent(13,0.0); - S159_PT_0->SetBinContent(14,0.0); - S159_PT_0->SetBinContent(15,0.0); - S159_PT_0->SetBinContent(16,0.0); - S159_PT_0->SetBinContent(17,0.0); - S159_PT_0->SetBinContent(18,0.0); - S159_PT_0->SetBinContent(19,0.0); - S159_PT_0->SetBinContent(20,0.0); - S159_PT_0->SetBinContent(21,0.0); - S159_PT_0->SetBinContent(22,0.0); - S159_PT_0->SetBinContent(23,0.0); - S159_PT_0->SetBinContent(24,0.0); - S159_PT_0->SetBinContent(25,0.0); - S159_PT_0->SetBinContent(26,0.0); - S159_PT_0->SetBinContent(27,0.0); - S159_PT_0->SetBinContent(28,0.0); - S159_PT_0->SetBinContent(29,0.0); - S159_PT_0->SetBinContent(30,0.0); - S159_PT_0->SetBinContent(31,0.0); - S159_PT_0->SetBinContent(32,0.0); - S159_PT_0->SetBinContent(33,0.0); - S159_PT_0->SetBinContent(34,0.0); - S159_PT_0->SetBinContent(35,0.0); - S159_PT_0->SetBinContent(36,0.0); - S159_PT_0->SetBinContent(37,0.0); - S159_PT_0->SetBinContent(38,0.0); - S159_PT_0->SetBinContent(39,0.0); - S159_PT_0->SetBinContent(40,0.0); - S159_PT_0->SetBinContent(41,0.0); - S159_PT_0->SetBinContent(42,0.0); - S159_PT_0->SetBinContent(43,0.0); - S159_PT_0->SetBinContent(44,0.0); - S159_PT_0->SetBinContent(45,0.0); - S159_PT_0->SetBinContent(46,0.0); - S159_PT_0->SetBinContent(47,0.0); - S159_PT_0->SetBinContent(48,0.0); - S159_PT_0->SetBinContent(49,0.0); - S159_PT_0->SetBinContent(50,0.0); - S159_PT_0->SetBinContent(51,0.0); // overflow - S159_PT_0->SetEntries(1000); - // Style - S159_PT_0->SetLineColor(9); - S159_PT_0->SetLineStyle(1); - S159_PT_0->SetLineWidth(1); - S159_PT_0->SetFillColor(9); - S159_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_318","mystack"); - stack->Add(S159_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j j pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ j j ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_158.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_158.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_158.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_158.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_158.py deleted file mode 100644 index e574388a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_158.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_158(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) - - # Creating weights for histo: y159_PT_0 - y159_PT_0_weights = numpy.array([5.514875,6.472641,2.595235,0.6024654,0.1544783,0.07723915,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y159_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ j j ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ j j\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y159_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y159_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_158.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_158.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_158.eps') - -# Running! -if __name__ == '__main__': - selection_158() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_159.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_159.C deleted file mode 100644 index d8d31adc..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_159.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_159() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo319","canvas_plotflow_tempo319",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S160_DELTAR_0 = new TH1F("S160_DELTAR_0","S160_DELTAR_0",50,0.0,10.0); - // Content - S160_DELTAR_0->SetBinContent(0,0.0); // underflow - S160_DELTAR_0->SetBinContent(1,0.0); - S160_DELTAR_0->SetBinContent(2,0.0); - S160_DELTAR_0->SetBinContent(3,0.0); - S160_DELTAR_0->SetBinContent(4,0.0); - S160_DELTAR_0->SetBinContent(5,0.0); - S160_DELTAR_0->SetBinContent(6,0.0); - S160_DELTAR_0->SetBinContent(7,0.0); - S160_DELTAR_0->SetBinContent(8,0.0); - S160_DELTAR_0->SetBinContent(9,0.0); - S160_DELTAR_0->SetBinContent(10,0.0); - S160_DELTAR_0->SetBinContent(11,0.0); - S160_DELTAR_0->SetBinContent(12,0.0); - S160_DELTAR_0->SetBinContent(13,0.0); - S160_DELTAR_0->SetBinContent(14,0.0); - S160_DELTAR_0->SetBinContent(15,0.0); - S160_DELTAR_0->SetBinContent(16,0.0); - S160_DELTAR_0->SetBinContent(17,0.0); - S160_DELTAR_0->SetBinContent(18,0.0); - S160_DELTAR_0->SetBinContent(19,0.0); - S160_DELTAR_0->SetBinContent(20,0.0); - S160_DELTAR_0->SetBinContent(21,0.0); - S160_DELTAR_0->SetBinContent(22,0.0); - S160_DELTAR_0->SetBinContent(23,0.0); - S160_DELTAR_0->SetBinContent(24,0.0); - S160_DELTAR_0->SetBinContent(25,0.0); - S160_DELTAR_0->SetBinContent(26,0.0); - S160_DELTAR_0->SetBinContent(27,0.0); - S160_DELTAR_0->SetBinContent(28,0.0); - S160_DELTAR_0->SetBinContent(29,0.0); - S160_DELTAR_0->SetBinContent(30,0.0); - S160_DELTAR_0->SetBinContent(31,0.0); - S160_DELTAR_0->SetBinContent(32,0.0); - S160_DELTAR_0->SetBinContent(33,0.0); - S160_DELTAR_0->SetBinContent(34,0.0); - S160_DELTAR_0->SetBinContent(35,0.0); - S160_DELTAR_0->SetBinContent(36,0.0); - S160_DELTAR_0->SetBinContent(37,0.0); - S160_DELTAR_0->SetBinContent(38,0.0); - S160_DELTAR_0->SetBinContent(39,0.0); - S160_DELTAR_0->SetBinContent(40,0.0); - S160_DELTAR_0->SetBinContent(41,0.0); - S160_DELTAR_0->SetBinContent(42,0.0); - S160_DELTAR_0->SetBinContent(43,0.0); - S160_DELTAR_0->SetBinContent(44,0.0); - S160_DELTAR_0->SetBinContent(45,0.0); - S160_DELTAR_0->SetBinContent(46,0.0); - S160_DELTAR_0->SetBinContent(47,0.0); - S160_DELTAR_0->SetBinContent(48,0.0); - S160_DELTAR_0->SetBinContent(49,0.0); - S160_DELTAR_0->SetBinContent(50,0.0); - S160_DELTAR_0->SetBinContent(51,0.0); // overflow - S160_DELTAR_0->SetEntries(0); - // Style - S160_DELTAR_0->SetLineColor(9); - S160_DELTAR_0->SetLineStyle(1); - S160_DELTAR_0->SetLineWidth(1); - S160_DELTAR_0->SetFillColor(9); - S160_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_320","mystack"); - stack->Add(S160_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.04); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (e, mu) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ e, mu ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_159.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_159.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_159.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_159.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_159.py deleted file mode 100644 index 9deec3e5..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_159.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_159(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y160_DELTAR_0 - y160_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y160_DELTAR_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ e, mu ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (e, mu)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y160_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y160_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_159.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_159.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_159.eps') - -# Running! -if __name__ == '__main__': - selection_159() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_16.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_16.C deleted file mode 100644 index d5d13fc9..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_16.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_16() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo33","canvas_plotflow_tempo33",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S17_ET_0 = new TH1F("S17_ET_0","S17_ET_0",50,0.0,2000.0); - // Content - S17_ET_0->SetBinContent(0,0.0); // underflow - S17_ET_0->SetBinContent(1,3.815614); - S17_ET_0->SetBinContent(2,2.873296); - S17_ET_0->SetBinContent(3,0.7723915); - S17_ET_0->SetBinContent(4,0.185374); - S17_ET_0->SetBinContent(5,0.1235826); - S17_ET_0->SetBinContent(6,0.0); - S17_ET_0->SetBinContent(7,0.01544783); - S17_ET_0->SetBinContent(8,0.01544783); - S17_ET_0->SetBinContent(9,0.01544783); - S17_ET_0->SetBinContent(10,0.0); - S17_ET_0->SetBinContent(11,0.0); - S17_ET_0->SetBinContent(12,0.0); - S17_ET_0->SetBinContent(13,0.0); - S17_ET_0->SetBinContent(14,0.0); - S17_ET_0->SetBinContent(15,0.0); - S17_ET_0->SetBinContent(16,0.0); - S17_ET_0->SetBinContent(17,0.0); - S17_ET_0->SetBinContent(18,0.0); - S17_ET_0->SetBinContent(19,0.0); - S17_ET_0->SetBinContent(20,0.0); - S17_ET_0->SetBinContent(21,0.0); - S17_ET_0->SetBinContent(22,0.0); - S17_ET_0->SetBinContent(23,0.0); - S17_ET_0->SetBinContent(24,0.0); - S17_ET_0->SetBinContent(25,0.0); - S17_ET_0->SetBinContent(26,0.0); - S17_ET_0->SetBinContent(27,0.0); - S17_ET_0->SetBinContent(28,0.0); - S17_ET_0->SetBinContent(29,0.0); - S17_ET_0->SetBinContent(30,0.0); - S17_ET_0->SetBinContent(31,0.0); - S17_ET_0->SetBinContent(32,0.0); - S17_ET_0->SetBinContent(33,0.0); - S17_ET_0->SetBinContent(34,0.0); - S17_ET_0->SetBinContent(35,0.0); - S17_ET_0->SetBinContent(36,0.0); - S17_ET_0->SetBinContent(37,0.0); - S17_ET_0->SetBinContent(38,0.0); - S17_ET_0->SetBinContent(39,0.0); - S17_ET_0->SetBinContent(40,0.0); - S17_ET_0->SetBinContent(41,0.0); - S17_ET_0->SetBinContent(42,0.0); - S17_ET_0->SetBinContent(43,0.0); - S17_ET_0->SetBinContent(44,0.0); - S17_ET_0->SetBinContent(45,0.0); - S17_ET_0->SetBinContent(46,0.0); - S17_ET_0->SetBinContent(47,0.0); - S17_ET_0->SetBinContent(48,0.0); - S17_ET_0->SetBinContent(49,0.0); - S17_ET_0->SetBinContent(50,0.0); - S17_ET_0->SetBinContent(51,0.0); // overflow - S17_ET_0->SetEntries(506); - // Style - S17_ET_0->SetLineColor(9); - S17_ET_0->SetLineStyle(1); - S17_ET_0->SetLineWidth(1); - S17_ET_0->SetFillColor(9); - S17_ET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_34","mystack"); - stack->Add(S17_ET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E_{T} [ e ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_16.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_16.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_16.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_16.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_16.py deleted file mode 100644 index 5340ee48..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_16.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_16(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y17_ET_0 - y17_ET_0_weights = numpy.array([3.815614,2.873296,0.7723915,0.185374,0.1235826,0.0,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y17_ET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E_{T}$ $[ e ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y17_ET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y17_ET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_16.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_16.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_16.eps') - -# Running! -if __name__ == '__main__': - selection_16() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_160.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_160.C deleted file mode 100644 index 50a5d229..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_160.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_160() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo321","canvas_plotflow_tempo321",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S161_DELTAR_0 = new TH1F("S161_DELTAR_0","S161_DELTAR_0",50,0.0,10.0); - // Content - S161_DELTAR_0->SetBinContent(0,0.0); // underflow - S161_DELTAR_0->SetBinContent(1,0.07723915); - S161_DELTAR_0->SetBinContent(2,0.1081348); - S161_DELTAR_0->SetBinContent(3,0.3398523); - S161_DELTAR_0->SetBinContent(4,0.3861957); - S161_DELTAR_0->SetBinContent(5,0.5097784); - S161_DELTAR_0->SetBinContent(6,0.5715697); - S161_DELTAR_0->SetBinContent(7,0.6797045); - S161_DELTAR_0->SetBinContent(8,0.9268698); - S161_DELTAR_0->SetBinContent(9,0.8959741); - S161_DELTAR_0->SetBinContent(10,0.9732133); - S161_DELTAR_0->SetBinContent(11,1.127692); - S161_DELTAR_0->SetBinContent(12,0.9423176); - S161_DELTAR_0->SetBinContent(13,1.452096); - S161_DELTAR_0->SetBinContent(14,1.297618); - S161_DELTAR_0->SetBinContent(15,1.99277); - S161_DELTAR_0->SetBinContent(16,1.251274); - S161_DELTAR_0->SetBinContent(17,0.7569437); - S161_DELTAR_0->SetBinContent(18,0.6024654); - S161_DELTAR_0->SetBinContent(19,0.3089566); - S161_DELTAR_0->SetBinContent(20,0.1699261); - S161_DELTAR_0->SetBinContent(21,0.1544783); - S161_DELTAR_0->SetBinContent(22,0.03089566); - S161_DELTAR_0->SetBinContent(23,0.03089566); - S161_DELTAR_0->SetBinContent(24,0.03089566); - S161_DELTAR_0->SetBinContent(25,0.01544783); - S161_DELTAR_0->SetBinContent(26,0.0); - S161_DELTAR_0->SetBinContent(27,0.0); - S161_DELTAR_0->SetBinContent(28,0.0); - S161_DELTAR_0->SetBinContent(29,0.0); - S161_DELTAR_0->SetBinContent(30,0.0); - S161_DELTAR_0->SetBinContent(31,0.0); - S161_DELTAR_0->SetBinContent(32,0.0); - S161_DELTAR_0->SetBinContent(33,0.0); - S161_DELTAR_0->SetBinContent(34,0.0); - S161_DELTAR_0->SetBinContent(35,0.0); - S161_DELTAR_0->SetBinContent(36,0.0); - S161_DELTAR_0->SetBinContent(37,0.0); - S161_DELTAR_0->SetBinContent(38,0.0); - S161_DELTAR_0->SetBinContent(39,0.0); - S161_DELTAR_0->SetBinContent(40,0.0); - S161_DELTAR_0->SetBinContent(41,0.0); - S161_DELTAR_0->SetBinContent(42,0.0); - S161_DELTAR_0->SetBinContent(43,0.0); - S161_DELTAR_0->SetBinContent(44,0.0); - S161_DELTAR_0->SetBinContent(45,0.0); - S161_DELTAR_0->SetBinContent(46,0.0); - S161_DELTAR_0->SetBinContent(47,0.0); - S161_DELTAR_0->SetBinContent(48,0.0); - S161_DELTAR_0->SetBinContent(49,0.0); - S161_DELTAR_0->SetBinContent(50,0.0); - S161_DELTAR_0->SetBinContent(51,0.0); // overflow - S161_DELTAR_0->SetEntries(1012); - // Style - S161_DELTAR_0->SetLineColor(9); - S161_DELTAR_0->SetLineStyle(1); - S161_DELTAR_0->SetLineWidth(1); - S161_DELTAR_0->SetFillColor(9); - S161_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_322","mystack"); - stack->Add(S161_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (e, j) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ e, j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_160.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_160.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_160.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_160.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_160.py deleted file mode 100644 index 8c8de18d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_160.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_160(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y161_DELTAR_0 - y161_DELTAR_0_weights = numpy.array([0.07723915,0.1081348,0.3398523,0.3861957,0.5097784,0.5715697,0.6797045,0.9268698,0.8959741,0.9732133,1.127692,0.9423176,1.452096,1.297618,1.99277,1.251274,0.7569437,0.6024654,0.3089566,0.1699261,0.1544783,0.03089566,0.03089566,0.03089566,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y161_DELTAR_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ e, j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (e, j)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y161_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y161_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_160.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_160.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_160.eps') - -# Running! -if __name__ == '__main__': - selection_160() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_161.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_161.C deleted file mode 100644 index 36ffed02..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_161.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_161() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo323","canvas_plotflow_tempo323",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S162_DELTAR_0 = new TH1F("S162_DELTAR_0","S162_DELTAR_0",50,0.0,10.0); - // Content - S162_DELTAR_0->SetBinContent(0,0.0); // underflow - S162_DELTAR_0->SetBinContent(1,0.06179132); - S162_DELTAR_0->SetBinContent(2,0.2008218); - S162_DELTAR_0->SetBinContent(3,0.2626131); - S162_DELTAR_0->SetBinContent(4,0.4016436); - S162_DELTAR_0->SetBinContent(5,0.4943306); - S162_DELTAR_0->SetBinContent(6,0.5870175); - S162_DELTAR_0->SetBinContent(7,0.818735); - S162_DELTAR_0->SetBinContent(8,0.8959741); - S162_DELTAR_0->SetBinContent(9,1.127692); - S162_DELTAR_0->SetBinContent(10,0.818735); - S162_DELTAR_0->SetBinContent(11,1.143139); - S162_DELTAR_0->SetBinContent(12,1.204931); - S162_DELTAR_0->SetBinContent(13,1.220379); - S162_DELTAR_0->SetBinContent(14,1.374857); - S162_DELTAR_0->SetBinContent(15,1.390305); - S162_DELTAR_0->SetBinContent(16,1.204931); - S162_DELTAR_0->SetBinContent(17,0.7106002); - S162_DELTAR_0->SetBinContent(18,0.6179132); - S162_DELTAR_0->SetBinContent(19,0.3553001); - S162_DELTAR_0->SetBinContent(20,0.1699261); - S162_DELTAR_0->SetBinContent(21,0.09268698); - S162_DELTAR_0->SetBinContent(22,0.03089566); - S162_DELTAR_0->SetBinContent(23,0.03089566); - S162_DELTAR_0->SetBinContent(24,0.01544783); - S162_DELTAR_0->SetBinContent(25,0.01544783); - S162_DELTAR_0->SetBinContent(26,0.0); - S162_DELTAR_0->SetBinContent(27,0.0); - S162_DELTAR_0->SetBinContent(28,0.0); - S162_DELTAR_0->SetBinContent(29,0.0); - S162_DELTAR_0->SetBinContent(30,0.01544783); - S162_DELTAR_0->SetBinContent(31,0.0); - S162_DELTAR_0->SetBinContent(32,0.0); - S162_DELTAR_0->SetBinContent(33,0.0); - S162_DELTAR_0->SetBinContent(34,0.0); - S162_DELTAR_0->SetBinContent(35,0.0); - S162_DELTAR_0->SetBinContent(36,0.0); - S162_DELTAR_0->SetBinContent(37,0.0); - S162_DELTAR_0->SetBinContent(38,0.0); - S162_DELTAR_0->SetBinContent(39,0.0); - S162_DELTAR_0->SetBinContent(40,0.0); - S162_DELTAR_0->SetBinContent(41,0.0); - S162_DELTAR_0->SetBinContent(42,0.0); - S162_DELTAR_0->SetBinContent(43,0.0); - S162_DELTAR_0->SetBinContent(44,0.0); - S162_DELTAR_0->SetBinContent(45,0.0); - S162_DELTAR_0->SetBinContent(46,0.0); - S162_DELTAR_0->SetBinContent(47,0.0); - S162_DELTAR_0->SetBinContent(48,0.0); - S162_DELTAR_0->SetBinContent(49,0.0); - S162_DELTAR_0->SetBinContent(50,0.0); - S162_DELTAR_0->SetBinContent(51,0.0); // overflow - S162_DELTAR_0->SetEntries(988); - // Style - S162_DELTAR_0->SetLineColor(9); - S162_DELTAR_0->SetLineStyle(1); - S162_DELTAR_0->SetLineWidth(1); - S162_DELTAR_0->SetFillColor(9); - S162_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_324","mystack"); - stack->Add(S162_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.04); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (mu, j) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ mu, j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_161.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_161.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_161.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_161.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_161.py deleted file mode 100644 index 0e50f4be..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_161.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_161(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y162_DELTAR_0 - y162_DELTAR_0_weights = numpy.array([0.06179132,0.2008218,0.2626131,0.4016436,0.4943306,0.5870175,0.818735,0.8959741,1.127692,0.818735,1.143139,1.204931,1.220379,1.374857,1.390305,1.204931,0.7106002,0.6179132,0.3553001,0.1699261,0.09268698,0.03089566,0.03089566,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y162_DELTAR_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ mu, j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (mu, j)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y162_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y162_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_161.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_161.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_161.eps') - -# Running! -if __name__ == '__main__': - selection_161() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_162.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_162.C deleted file mode 100644 index 0897b2eb..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_162.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_162() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo325","canvas_plotflow_tempo325",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S163_DELTAR_0 = new TH1F("S163_DELTAR_0","S163_DELTAR_0",50,0.0,10.0); - // Content - S163_DELTAR_0->SetBinContent(0,0.0); // underflow - S163_DELTAR_0->SetBinContent(1,0.0); - S163_DELTAR_0->SetBinContent(2,0.0); - S163_DELTAR_0->SetBinContent(3,0.4634349); - S163_DELTAR_0->SetBinContent(4,0.7878393); - S163_DELTAR_0->SetBinContent(5,1.0659); - S163_DELTAR_0->SetBinContent(6,1.560231); - S163_DELTAR_0->SetBinContent(7,1.374857); - S163_DELTAR_0->SetBinContent(8,1.99277); - S163_DELTAR_0->SetBinContent(9,2.178144); - S163_DELTAR_0->SetBinContent(10,2.270831); - S163_DELTAR_0->SetBinContent(11,2.301727); - S163_DELTAR_0->SetBinContent(12,2.595235); - S163_DELTAR_0->SetBinContent(13,2.657027); - S163_DELTAR_0->SetBinContent(14,2.626131); - S163_DELTAR_0->SetBinContent(15,2.965983); - S163_DELTAR_0->SetBinContent(16,2.657027); - S163_DELTAR_0->SetBinContent(17,1.4212); - S163_DELTAR_0->SetBinContent(18,0.7723915); - S163_DELTAR_0->SetBinContent(19,0.5870175); - S163_DELTAR_0->SetBinContent(20,0.3244044); - S163_DELTAR_0->SetBinContent(21,0.1081348); - S163_DELTAR_0->SetBinContent(22,0.06179132); - S163_DELTAR_0->SetBinContent(23,0.07723915); - S163_DELTAR_0->SetBinContent(24,0.01544783); - S163_DELTAR_0->SetBinContent(25,0.01544783); - S163_DELTAR_0->SetBinContent(26,0.01544783); - S163_DELTAR_0->SetBinContent(27,0.0); - S163_DELTAR_0->SetBinContent(28,0.0); - S163_DELTAR_0->SetBinContent(29,0.0); - S163_DELTAR_0->SetBinContent(30,0.0); - S163_DELTAR_0->SetBinContent(31,0.0); - S163_DELTAR_0->SetBinContent(32,0.0); - S163_DELTAR_0->SetBinContent(33,0.0); - S163_DELTAR_0->SetBinContent(34,0.0); - S163_DELTAR_0->SetBinContent(35,0.0); - S163_DELTAR_0->SetBinContent(36,0.0); - S163_DELTAR_0->SetBinContent(37,0.0); - S163_DELTAR_0->SetBinContent(38,0.0); - S163_DELTAR_0->SetBinContent(39,0.0); - S163_DELTAR_0->SetBinContent(40,0.0); - S163_DELTAR_0->SetBinContent(41,0.0); - S163_DELTAR_0->SetBinContent(42,0.0); - S163_DELTAR_0->SetBinContent(43,0.0); - S163_DELTAR_0->SetBinContent(44,0.0); - S163_DELTAR_0->SetBinContent(45,0.0); - S163_DELTAR_0->SetBinContent(46,0.0); - S163_DELTAR_0->SetBinContent(47,0.0); - S163_DELTAR_0->SetBinContent(48,0.0); - S163_DELTAR_0->SetBinContent(49,0.0); - S163_DELTAR_0->SetBinContent(50,0.0); - S163_DELTAR_0->SetBinContent(51,0.0); // overflow - S163_DELTAR_0->SetEntries(2000); - // Style - S163_DELTAR_0->SetLineColor(9); - S163_DELTAR_0->SetLineStyle(1); - S163_DELTAR_0->SetLineWidth(1); - S163_DELTAR_0->SetFillColor(9); - S163_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_326","mystack"); - stack->Add(S163_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of (b, j) pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ b, j ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_162.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_162.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_162.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_162.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_162.py deleted file mode 100644 index 10c7a8f1..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_162.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_162(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y163_DELTAR_0 - y163_DELTAR_0_weights = numpy.array([0.0,0.0,0.4634349,0.7878393,1.0659,1.560231,1.374857,1.99277,2.178144,2.270831,2.301727,2.595235,2.657027,2.626131,2.965983,2.657027,1.4212,0.7723915,0.5870175,0.3244044,0.1081348,0.06179132,0.07723915,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y163_DELTAR_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ b, j ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ (b, j)\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y163_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y163_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_162.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_162.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_162.eps') - -# Running! -if __name__ == '__main__': - selection_162() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_163.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_163.C deleted file mode 100644 index 356832d7..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_163.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_163() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo327","canvas_plotflow_tempo327",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S164_M_0 = new TH1F("S164_M_0","S164_M_0",50,0.0,1000.0); - // Content - S164_M_0->SetBinContent(0,0.0); // underflow - S164_M_0->SetBinContent(1,0.0); - S164_M_0->SetBinContent(2,0.0); - S164_M_0->SetBinContent(3,0.0); - S164_M_0->SetBinContent(4,0.0); - S164_M_0->SetBinContent(5,0.0); - S164_M_0->SetBinContent(6,0.0); - S164_M_0->SetBinContent(7,0.0); - S164_M_0->SetBinContent(8,0.0); - S164_M_0->SetBinContent(9,0.0); - S164_M_0->SetBinContent(10,0.0); - S164_M_0->SetBinContent(11,0.0); - S164_M_0->SetBinContent(12,0.0); - S164_M_0->SetBinContent(13,0.0); - S164_M_0->SetBinContent(14,0.0); - S164_M_0->SetBinContent(15,0.0); - S164_M_0->SetBinContent(16,0.0); - S164_M_0->SetBinContent(17,0.0); - S164_M_0->SetBinContent(18,0.0); - S164_M_0->SetBinContent(19,0.0); - S164_M_0->SetBinContent(20,0.0); - S164_M_0->SetBinContent(21,0.0); - S164_M_0->SetBinContent(22,0.0); - S164_M_0->SetBinContent(23,0.0); - S164_M_0->SetBinContent(24,0.0); - S164_M_0->SetBinContent(25,0.0); - S164_M_0->SetBinContent(26,0.0); - S164_M_0->SetBinContent(27,0.0); - S164_M_0->SetBinContent(28,0.0); - S164_M_0->SetBinContent(29,0.0); - S164_M_0->SetBinContent(30,0.0); - S164_M_0->SetBinContent(31,0.0); - S164_M_0->SetBinContent(32,0.0); - S164_M_0->SetBinContent(33,0.0); - S164_M_0->SetBinContent(34,0.0); - S164_M_0->SetBinContent(35,0.0); - S164_M_0->SetBinContent(36,0.0); - S164_M_0->SetBinContent(37,0.0); - S164_M_0->SetBinContent(38,0.0); - S164_M_0->SetBinContent(39,0.0); - S164_M_0->SetBinContent(40,0.0); - S164_M_0->SetBinContent(41,0.0); - S164_M_0->SetBinContent(42,0.0); - S164_M_0->SetBinContent(43,0.0); - S164_M_0->SetBinContent(44,0.0); - S164_M_0->SetBinContent(45,0.0); - S164_M_0->SetBinContent(46,0.0); - S164_M_0->SetBinContent(47,0.0); - S164_M_0->SetBinContent(48,0.0); - S164_M_0->SetBinContent(49,0.0); - S164_M_0->SetBinContent(50,0.0); - S164_M_0->SetBinContent(51,0.0); // overflow - S164_M_0->SetEntries(0); - // Style - S164_M_0->SetLineColor(9); - S164_M_0->SetLineStyle(1); - S164_M_0->SetLineWidth(1); - S164_M_0->SetFillColor(9); - S164_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_328","mystack"); - stack->Add(S164_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e mu pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ e mu ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_163.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_163.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_163.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_163.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_163.py deleted file mode 100644 index dc3ac7ab..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_163.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_163(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y164_M_0 - y164_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y164_M_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ e mu ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ e mu\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y164_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y164_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_163.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_163.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_163.eps') - -# Running! -if __name__ == '__main__': - selection_163() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_164.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_164.C deleted file mode 100644 index d2bc51c1..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_164.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_164() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo329","canvas_plotflow_tempo329",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S165_M_0 = new TH1F("S165_M_0","S165_M_0",50,0.0,2000.0); - // Content - S165_M_0->SetBinContent(0,0.0); // underflow - S165_M_0->SetBinContent(1,2.070009); - S165_M_0->SetBinContent(2,4.881514); - S165_M_0->SetBinContent(3,3.861957); - S165_M_0->SetBinContent(4,2.239935); - S165_M_0->SetBinContent(5,1.004109); - S165_M_0->SetBinContent(6,0.6179132); - S165_M_0->SetBinContent(7,0.3861957); - S165_M_0->SetBinContent(8,0.2471653); - S165_M_0->SetBinContent(9,0.185374); - S165_M_0->SetBinContent(10,0.03089566); - S165_M_0->SetBinContent(11,0.06179132); - S165_M_0->SetBinContent(12,0.01544783); - S165_M_0->SetBinContent(13,0.0); - S165_M_0->SetBinContent(14,0.01544783); - S165_M_0->SetBinContent(15,0.01544783); - S165_M_0->SetBinContent(16,0.0); - S165_M_0->SetBinContent(17,0.0); - S165_M_0->SetBinContent(18,0.0); - S165_M_0->SetBinContent(19,0.0); - S165_M_0->SetBinContent(20,0.0); - S165_M_0->SetBinContent(21,0.0); - S165_M_0->SetBinContent(22,0.0); - S165_M_0->SetBinContent(23,0.0); - S165_M_0->SetBinContent(24,0.0); - S165_M_0->SetBinContent(25,0.0); - S165_M_0->SetBinContent(26,0.0); - S165_M_0->SetBinContent(27,0.0); - S165_M_0->SetBinContent(28,0.0); - S165_M_0->SetBinContent(29,0.0); - S165_M_0->SetBinContent(30,0.0); - S165_M_0->SetBinContent(31,0.0); - S165_M_0->SetBinContent(32,0.0); - S165_M_0->SetBinContent(33,0.0); - S165_M_0->SetBinContent(34,0.0); - S165_M_0->SetBinContent(35,0.0); - S165_M_0->SetBinContent(36,0.0); - S165_M_0->SetBinContent(37,0.0); - S165_M_0->SetBinContent(38,0.0); - S165_M_0->SetBinContent(39,0.0); - S165_M_0->SetBinContent(40,0.0); - S165_M_0->SetBinContent(41,0.0); - S165_M_0->SetBinContent(42,0.0); - S165_M_0->SetBinContent(43,0.0); - S165_M_0->SetBinContent(44,0.0); - S165_M_0->SetBinContent(45,0.0); - S165_M_0->SetBinContent(46,0.0); - S165_M_0->SetBinContent(47,0.0); - S165_M_0->SetBinContent(48,0.0); - S165_M_0->SetBinContent(49,0.0); - S165_M_0->SetBinContent(50,0.0); - S165_M_0->SetBinContent(51,0.0); // overflow - S165_M_0->SetEntries(1012); - // Style - S165_M_0->SetLineColor(9); - S165_M_0->SetLineStyle(1); - S165_M_0->SetLineWidth(1); - S165_M_0->SetFillColor(9); - S165_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_330","mystack"); - stack->Add(S165_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e j pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ e j ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_164.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_164.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_164.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_164.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_164.py deleted file mode 100644 index fcba0f8d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_164.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_164(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y165_M_0 - y165_M_0_weights = numpy.array([2.070009,4.881514,3.861957,2.239935,1.004109,0.6179132,0.3861957,0.2471653,0.185374,0.03089566,0.06179132,0.01544783,0.0,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y165_M_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ e j ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ e j\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y165_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y165_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_164.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_164.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_164.eps') - -# Running! -if __name__ == '__main__': - selection_164() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_165.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_165.C deleted file mode 100644 index 195c688b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_165.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_165() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo331","canvas_plotflow_tempo331",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S166_M_0 = new TH1F("S166_M_0","S166_M_0",50,0.0,2000.0); - // Content - S166_M_0->SetBinContent(0,0.0); // underflow - S166_M_0->SetBinContent(1,2.131801); - S166_M_0->SetBinContent(2,4.649797); - S166_M_0->SetBinContent(3,3.800166); - S166_M_0->SetBinContent(4,2.224487); - S166_M_0->SetBinContent(5,1.204931); - S166_M_0->SetBinContent(6,0.5561219); - S166_M_0->SetBinContent(7,0.3707479); - S166_M_0->SetBinContent(8,0.1699261); - S166_M_0->SetBinContent(9,0.09268698); - S166_M_0->SetBinContent(10,0.03089566); - S166_M_0->SetBinContent(11,0.01544783); - S166_M_0->SetBinContent(12,0.01544783); - S166_M_0->SetBinContent(13,0.0); - S166_M_0->SetBinContent(14,0.0); - S166_M_0->SetBinContent(15,0.0); - S166_M_0->SetBinContent(16,0.0); - S166_M_0->SetBinContent(17,0.0); - S166_M_0->SetBinContent(18,0.0); - S166_M_0->SetBinContent(19,0.0); - S166_M_0->SetBinContent(20,0.0); - S166_M_0->SetBinContent(21,0.0); - S166_M_0->SetBinContent(22,0.0); - S166_M_0->SetBinContent(23,0.0); - S166_M_0->SetBinContent(24,0.0); - S166_M_0->SetBinContent(25,0.0); - S166_M_0->SetBinContent(26,0.0); - S166_M_0->SetBinContent(27,0.0); - S166_M_0->SetBinContent(28,0.0); - S166_M_0->SetBinContent(29,0.0); - S166_M_0->SetBinContent(30,0.0); - S166_M_0->SetBinContent(31,0.0); - S166_M_0->SetBinContent(32,0.0); - S166_M_0->SetBinContent(33,0.0); - S166_M_0->SetBinContent(34,0.0); - S166_M_0->SetBinContent(35,0.0); - S166_M_0->SetBinContent(36,0.0); - S166_M_0->SetBinContent(37,0.0); - S166_M_0->SetBinContent(38,0.0); - S166_M_0->SetBinContent(39,0.0); - S166_M_0->SetBinContent(40,0.0); - S166_M_0->SetBinContent(41,0.0); - S166_M_0->SetBinContent(42,0.0); - S166_M_0->SetBinContent(43,0.0); - S166_M_0->SetBinContent(44,0.0); - S166_M_0->SetBinContent(45,0.0); - S166_M_0->SetBinContent(46,0.0); - S166_M_0->SetBinContent(47,0.0); - S166_M_0->SetBinContent(48,0.0); - S166_M_0->SetBinContent(49,0.0); - S166_M_0->SetBinContent(50,0.0); - S166_M_0->SetBinContent(51,0.0); // overflow - S166_M_0->SetEntries(988); - // Style - S166_M_0->SetLineColor(9); - S166_M_0->SetLineStyle(1); - S166_M_0->SetLineWidth(1); - S166_M_0->SetFillColor(9); - S166_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_332","mystack"); - stack->Add(S166_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of j mu pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ j mu ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_165.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_165.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_165.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_165.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_165.py deleted file mode 100644 index 95b547c6..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_165.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_165(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y166_M_0 - y166_M_0_weights = numpy.array([2.131801,4.649797,3.800166,2.224487,1.204931,0.5561219,0.3707479,0.1699261,0.09268698,0.03089566,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y166_M_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ j mu ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ j mu\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y166_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y166_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_165.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_165.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_165.eps') - -# Running! -if __name__ == '__main__': - selection_165() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_166.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_166.C deleted file mode 100644 index 24ff8427..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_166.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_166() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo333","canvas_plotflow_tempo333",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S167_M_0 = new TH1F("S167_M_0","S167_M_0",50,0.0,3000.0); - // Content - S167_M_0->SetBinContent(0,0.0); // underflow - S167_M_0->SetBinContent(1,3.599344); - S167_M_0->SetBinContent(2,14.47462); - S167_M_0->SetBinContent(3,9.222354); - S167_M_0->SetBinContent(4,2.054561); - S167_M_0->SetBinContent(5,0.8341828); - S167_M_0->SetBinContent(6,0.4170914); - S167_M_0->SetBinContent(7,0.185374); - S167_M_0->SetBinContent(8,0.04634349); - S167_M_0->SetBinContent(9,0.04634349); - S167_M_0->SetBinContent(10,0.0); - S167_M_0->SetBinContent(11,0.0); - S167_M_0->SetBinContent(12,0.01544783); - S167_M_0->SetBinContent(13,0.0); - S167_M_0->SetBinContent(14,0.0); - S167_M_0->SetBinContent(15,0.0); - S167_M_0->SetBinContent(16,0.0); - S167_M_0->SetBinContent(17,0.0); - S167_M_0->SetBinContent(18,0.0); - S167_M_0->SetBinContent(19,0.0); - S167_M_0->SetBinContent(20,0.0); - S167_M_0->SetBinContent(21,0.0); - S167_M_0->SetBinContent(22,0.0); - S167_M_0->SetBinContent(23,0.0); - S167_M_0->SetBinContent(24,0.0); - S167_M_0->SetBinContent(25,0.0); - S167_M_0->SetBinContent(26,0.0); - S167_M_0->SetBinContent(27,0.0); - S167_M_0->SetBinContent(28,0.0); - S167_M_0->SetBinContent(29,0.0); - S167_M_0->SetBinContent(30,0.0); - S167_M_0->SetBinContent(31,0.0); - S167_M_0->SetBinContent(32,0.0); - S167_M_0->SetBinContent(33,0.0); - S167_M_0->SetBinContent(34,0.0); - S167_M_0->SetBinContent(35,0.0); - S167_M_0->SetBinContent(36,0.0); - S167_M_0->SetBinContent(37,0.0); - S167_M_0->SetBinContent(38,0.0); - S167_M_0->SetBinContent(39,0.0); - S167_M_0->SetBinContent(40,0.0); - S167_M_0->SetBinContent(41,0.0); - S167_M_0->SetBinContent(42,0.0); - S167_M_0->SetBinContent(43,0.0); - S167_M_0->SetBinContent(44,0.0); - S167_M_0->SetBinContent(45,0.0); - S167_M_0->SetBinContent(46,0.0); - S167_M_0->SetBinContent(47,0.0); - S167_M_0->SetBinContent(48,0.0); - S167_M_0->SetBinContent(49,0.0); - S167_M_0->SetBinContent(50,0.0); - S167_M_0->SetBinContent(51,0.0); // overflow - S167_M_0->SetEntries(2000); - // Style - S167_M_0->SetLineColor(9); - S167_M_0->SetLineStyle(1); - S167_M_0->SetLineWidth(1); - S167_M_0->SetFillColor(9); - S167_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_334","mystack"); - stack->Add(S167_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b j pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ b j ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_166.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_166.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_166.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_166.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_166.py deleted file mode 100644 index f9ec6240..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_166.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_166(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) - - # Creating weights for histo: y167_M_0 - y167_M_0_weights = numpy.array([3.599344,14.47462,9.222354,2.054561,0.8341828,0.4170914,0.185374,0.04634349,0.04634349,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y167_M_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ b j ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ b j\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y167_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y167_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_166.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_166.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_166.eps') - -# Running! -if __name__ == '__main__': - selection_166() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_167.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_167.C deleted file mode 100644 index bcd98616..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_167.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_167() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo335","canvas_plotflow_tempo335",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S168_PT_0 = new TH1F("S168_PT_0","S168_PT_0",50,0.0,1500.0); - // Content - S168_PT_0->SetBinContent(0,0.0); // underflow - S168_PT_0->SetBinContent(1,0.0); - S168_PT_0->SetBinContent(2,0.0); - S168_PT_0->SetBinContent(3,0.0); - S168_PT_0->SetBinContent(4,0.0); - S168_PT_0->SetBinContent(5,0.0); - S168_PT_0->SetBinContent(6,0.0); - S168_PT_0->SetBinContent(7,0.0); - S168_PT_0->SetBinContent(8,0.0); - S168_PT_0->SetBinContent(9,0.0); - S168_PT_0->SetBinContent(10,0.0); - S168_PT_0->SetBinContent(11,0.0); - S168_PT_0->SetBinContent(12,0.0); - S168_PT_0->SetBinContent(13,0.0); - S168_PT_0->SetBinContent(14,0.0); - S168_PT_0->SetBinContent(15,0.0); - S168_PT_0->SetBinContent(16,0.0); - S168_PT_0->SetBinContent(17,0.0); - S168_PT_0->SetBinContent(18,0.0); - S168_PT_0->SetBinContent(19,0.0); - S168_PT_0->SetBinContent(20,0.0); - S168_PT_0->SetBinContent(21,0.0); - S168_PT_0->SetBinContent(22,0.0); - S168_PT_0->SetBinContent(23,0.0); - S168_PT_0->SetBinContent(24,0.0); - S168_PT_0->SetBinContent(25,0.0); - S168_PT_0->SetBinContent(26,0.0); - S168_PT_0->SetBinContent(27,0.0); - S168_PT_0->SetBinContent(28,0.0); - S168_PT_0->SetBinContent(29,0.0); - S168_PT_0->SetBinContent(30,0.0); - S168_PT_0->SetBinContent(31,0.0); - S168_PT_0->SetBinContent(32,0.0); - S168_PT_0->SetBinContent(33,0.0); - S168_PT_0->SetBinContent(34,0.0); - S168_PT_0->SetBinContent(35,0.0); - S168_PT_0->SetBinContent(36,0.0); - S168_PT_0->SetBinContent(37,0.0); - S168_PT_0->SetBinContent(38,0.0); - S168_PT_0->SetBinContent(39,0.0); - S168_PT_0->SetBinContent(40,0.0); - S168_PT_0->SetBinContent(41,0.0); - S168_PT_0->SetBinContent(42,0.0); - S168_PT_0->SetBinContent(43,0.0); - S168_PT_0->SetBinContent(44,0.0); - S168_PT_0->SetBinContent(45,0.0); - S168_PT_0->SetBinContent(46,0.0); - S168_PT_0->SetBinContent(47,0.0); - S168_PT_0->SetBinContent(48,0.0); - S168_PT_0->SetBinContent(49,0.0); - S168_PT_0->SetBinContent(50,0.0); - S168_PT_0->SetBinContent(51,0.0); // overflow - S168_PT_0->SetEntries(0); - // Style - S168_PT_0->SetLineColor(9); - S168_PT_0->SetLineStyle(1); - S168_PT_0->SetLineWidth(1); - S168_PT_0->SetFillColor(9); - S168_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_336","mystack"); - stack->Add(S168_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e mu pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ e mu ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_167.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_167.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_167.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_167.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_167.py deleted file mode 100644 index 84d5211f..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_167.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_167(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) - - # Creating weights for histo: y168_PT_0 - y168_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y168_PT_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ e mu ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ e mu\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y168_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y168_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_167.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_167.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_167.eps') - -# Running! -if __name__ == '__main__': - selection_167() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_168.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_168.C deleted file mode 100644 index f419ec8a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_168.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_168() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo337","canvas_plotflow_tempo337",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S169_PT_0 = new TH1F("S169_PT_0","S169_PT_0",50,0.0,3000.0); - // Content - S169_PT_0->SetBinContent(0,0.0); // underflow - S169_PT_0->SetBinContent(1,10.93706); - S169_PT_0->SetBinContent(2,15.15432); - S169_PT_0->SetBinContent(3,3.815614); - S169_PT_0->SetBinContent(4,0.6488089); - S169_PT_0->SetBinContent(5,0.2317174); - S169_PT_0->SetBinContent(6,0.07723915); - S169_PT_0->SetBinContent(7,0.03089566); - S169_PT_0->SetBinContent(8,0.0); - S169_PT_0->SetBinContent(9,0.0); - S169_PT_0->SetBinContent(10,0.0); - S169_PT_0->SetBinContent(11,0.0); - S169_PT_0->SetBinContent(12,0.0); - S169_PT_0->SetBinContent(13,0.0); - S169_PT_0->SetBinContent(14,0.0); - S169_PT_0->SetBinContent(15,0.0); - S169_PT_0->SetBinContent(16,0.0); - S169_PT_0->SetBinContent(17,0.0); - S169_PT_0->SetBinContent(18,0.0); - S169_PT_0->SetBinContent(19,0.0); - S169_PT_0->SetBinContent(20,0.0); - S169_PT_0->SetBinContent(21,0.0); - S169_PT_0->SetBinContent(22,0.0); - S169_PT_0->SetBinContent(23,0.0); - S169_PT_0->SetBinContent(24,0.0); - S169_PT_0->SetBinContent(25,0.0); - S169_PT_0->SetBinContent(26,0.0); - S169_PT_0->SetBinContent(27,0.0); - S169_PT_0->SetBinContent(28,0.0); - S169_PT_0->SetBinContent(29,0.0); - S169_PT_0->SetBinContent(30,0.0); - S169_PT_0->SetBinContent(31,0.0); - S169_PT_0->SetBinContent(32,0.0); - S169_PT_0->SetBinContent(33,0.0); - S169_PT_0->SetBinContent(34,0.0); - S169_PT_0->SetBinContent(35,0.0); - S169_PT_0->SetBinContent(36,0.0); - S169_PT_0->SetBinContent(37,0.0); - S169_PT_0->SetBinContent(38,0.0); - S169_PT_0->SetBinContent(39,0.0); - S169_PT_0->SetBinContent(40,0.0); - S169_PT_0->SetBinContent(41,0.0); - S169_PT_0->SetBinContent(42,0.0); - S169_PT_0->SetBinContent(43,0.0); - S169_PT_0->SetBinContent(44,0.0); - S169_PT_0->SetBinContent(45,0.0); - S169_PT_0->SetBinContent(46,0.0); - S169_PT_0->SetBinContent(47,0.0); - S169_PT_0->SetBinContent(48,0.0); - S169_PT_0->SetBinContent(49,0.0); - S169_PT_0->SetBinContent(50,0.0); - S169_PT_0->SetBinContent(51,0.0); // overflow - S169_PT_0->SetEntries(2000); - // Style - S169_PT_0->SetLineColor(9); - S169_PT_0->SetLineStyle(1); - S169_PT_0->SetLineWidth(1); - S169_PT_0->SetFillColor(9); - S169_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_338","mystack"); - stack->Add(S169_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b j pairs (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ b j ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_168.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_168.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_168.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_168.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_168.py deleted file mode 100644 index 38a8306d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_168.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_168(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) - - # Creating weights for histo: y169_PT_0 - y169_PT_0_weights = numpy.array([10.93706,15.15432,3.815614,0.6488089,0.2317174,0.07723915,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y169_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ b j ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.} \mathrm{of}\ b j\ \mathrm{pairs}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y169_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y169_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_168.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_168.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_168.eps') - -# Running! -if __name__ == '__main__': - selection_168() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_169.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_169.C deleted file mode 100644 index affd6c15..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_169.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_169() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo339","canvas_plotflow_tempo339",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S170_DELTAR_0 = new TH1F("S170_DELTAR_0","S170_DELTAR_0",50,0.0,10.0); - // Content - S170_DELTAR_0->SetBinContent(0,0.0); // underflow - S170_DELTAR_0->SetBinContent(1,0.0); - S170_DELTAR_0->SetBinContent(2,0.0); - S170_DELTAR_0->SetBinContent(3,0.0); - S170_DELTAR_0->SetBinContent(4,0.0); - S170_DELTAR_0->SetBinContent(5,0.0); - S170_DELTAR_0->SetBinContent(6,0.0); - S170_DELTAR_0->SetBinContent(7,0.0); - S170_DELTAR_0->SetBinContent(8,0.0); - S170_DELTAR_0->SetBinContent(9,0.0); - S170_DELTAR_0->SetBinContent(10,0.0); - S170_DELTAR_0->SetBinContent(11,0.0); - S170_DELTAR_0->SetBinContent(12,0.0); - S170_DELTAR_0->SetBinContent(13,0.0); - S170_DELTAR_0->SetBinContent(14,0.0); - S170_DELTAR_0->SetBinContent(15,0.0); - S170_DELTAR_0->SetBinContent(16,0.0); - S170_DELTAR_0->SetBinContent(17,0.0); - S170_DELTAR_0->SetBinContent(18,0.0); - S170_DELTAR_0->SetBinContent(19,0.0); - S170_DELTAR_0->SetBinContent(20,0.0); - S170_DELTAR_0->SetBinContent(21,0.0); - S170_DELTAR_0->SetBinContent(22,0.0); - S170_DELTAR_0->SetBinContent(23,0.0); - S170_DELTAR_0->SetBinContent(24,0.0); - S170_DELTAR_0->SetBinContent(25,0.0); - S170_DELTAR_0->SetBinContent(26,0.0); - S170_DELTAR_0->SetBinContent(27,0.0); - S170_DELTAR_0->SetBinContent(28,0.0); - S170_DELTAR_0->SetBinContent(29,0.0); - S170_DELTAR_0->SetBinContent(30,0.0); - S170_DELTAR_0->SetBinContent(31,0.0); - S170_DELTAR_0->SetBinContent(32,0.0); - S170_DELTAR_0->SetBinContent(33,0.0); - S170_DELTAR_0->SetBinContent(34,0.0); - S170_DELTAR_0->SetBinContent(35,0.0); - S170_DELTAR_0->SetBinContent(36,0.0); - S170_DELTAR_0->SetBinContent(37,0.0); - S170_DELTAR_0->SetBinContent(38,0.0); - S170_DELTAR_0->SetBinContent(39,0.0); - S170_DELTAR_0->SetBinContent(40,0.0); - S170_DELTAR_0->SetBinContent(41,0.0); - S170_DELTAR_0->SetBinContent(42,0.0); - S170_DELTAR_0->SetBinContent(43,0.0); - S170_DELTAR_0->SetBinContent(44,0.0); - S170_DELTAR_0->SetBinContent(45,0.0); - S170_DELTAR_0->SetBinContent(46,0.0); - S170_DELTAR_0->SetBinContent(47,0.0); - S170_DELTAR_0->SetBinContent(48,0.0); - S170_DELTAR_0->SetBinContent(49,0.0); - S170_DELTAR_0->SetBinContent(50,0.0); - S170_DELTAR_0->SetBinContent(51,0.0); // overflow - S170_DELTAR_0->SetEntries(0); - // Style - S170_DELTAR_0->SetLineColor(9); - S170_DELTAR_0->SetLineStyle(1); - S170_DELTAR_0->SetLineWidth(1); - S170_DELTAR_0->SetFillColor(9); - S170_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_340","mystack"); - stack->Add(S170_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ e_{1}, mu_{1} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_169.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_169.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_169.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_169.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_169.py deleted file mode 100644 index b8be258a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_169.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_169(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y170_DELTAR_0 - y170_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y170_DELTAR_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ e_{1}, mu_{1} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y170_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y170_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_169.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_169.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_169.eps') - -# Running! -if __name__ == '__main__': - selection_169() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_17.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_17.C deleted file mode 100644 index b2a0628c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_17.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_17() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo35","canvas_plotflow_tempo35",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S18_M_0 = new TH1F("S18_M_0","S18_M_0",50,0.0,20.0); - // Content - S18_M_0->SetBinContent(0,4.031884); // underflow - S18_M_0->SetBinContent(1,3.784718); - S18_M_0->SetBinContent(2,0.0); - S18_M_0->SetBinContent(3,0.0); - S18_M_0->SetBinContent(4,0.0); - S18_M_0->SetBinContent(5,0.0); - S18_M_0->SetBinContent(6,0.0); - S18_M_0->SetBinContent(7,0.0); - S18_M_0->SetBinContent(8,0.0); - S18_M_0->SetBinContent(9,0.0); - S18_M_0->SetBinContent(10,0.0); - S18_M_0->SetBinContent(11,0.0); - S18_M_0->SetBinContent(12,0.0); - S18_M_0->SetBinContent(13,0.0); - S18_M_0->SetBinContent(14,0.0); - S18_M_0->SetBinContent(15,0.0); - S18_M_0->SetBinContent(16,0.0); - S18_M_0->SetBinContent(17,0.0); - S18_M_0->SetBinContent(18,0.0); - S18_M_0->SetBinContent(19,0.0); - S18_M_0->SetBinContent(20,0.0); - S18_M_0->SetBinContent(21,0.0); - S18_M_0->SetBinContent(22,0.0); - S18_M_0->SetBinContent(23,0.0); - S18_M_0->SetBinContent(24,0.0); - S18_M_0->SetBinContent(25,0.0); - S18_M_0->SetBinContent(26,0.0); - S18_M_0->SetBinContent(27,0.0); - S18_M_0->SetBinContent(28,0.0); - S18_M_0->SetBinContent(29,0.0); - S18_M_0->SetBinContent(30,0.0); - S18_M_0->SetBinContent(31,0.0); - S18_M_0->SetBinContent(32,0.0); - S18_M_0->SetBinContent(33,0.0); - S18_M_0->SetBinContent(34,0.0); - S18_M_0->SetBinContent(35,0.0); - S18_M_0->SetBinContent(36,0.0); - S18_M_0->SetBinContent(37,0.0); - S18_M_0->SetBinContent(38,0.0); - S18_M_0->SetBinContent(39,0.0); - S18_M_0->SetBinContent(40,0.0); - S18_M_0->SetBinContent(41,0.0); - S18_M_0->SetBinContent(42,0.0); - S18_M_0->SetBinContent(43,0.0); - S18_M_0->SetBinContent(44,0.0); - S18_M_0->SetBinContent(45,0.0); - S18_M_0->SetBinContent(46,0.0); - S18_M_0->SetBinContent(47,0.0); - S18_M_0->SetBinContent(48,0.0); - S18_M_0->SetBinContent(49,0.0); - S18_M_0->SetBinContent(50,0.0); - S18_M_0->SetBinContent(51,0.0); // overflow - S18_M_0->SetEntries(506); - // Style - S18_M_0->SetLineColor(9); - S18_M_0->SetLineStyle(1); - S18_M_0->SetLineWidth(1); - S18_M_0->SetFillColor(9); - S18_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_36","mystack"); - stack->Add(S18_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ e ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_17.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_17.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_17.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_17.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_17.py deleted file mode 100644 index 6f7a1d68..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_17.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_17(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,20.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.2,0.6000000000000001,1.0,1.4000000000000001,1.8,2.2,2.6,3.0,3.4000000000000004,3.8000000000000003,4.2,4.6000000000000005,5.0,5.4,5.800000000000001,6.2,6.6000000000000005,7.0,7.4,7.800000000000001,8.200000000000001,8.6,9.0,9.4,9.8,10.200000000000001,10.600000000000001,11.0,11.4,11.8,12.200000000000001,12.600000000000001,13.0,13.4,13.8,14.200000000000001,14.600000000000001,15.0,15.4,15.8,16.2,16.6,17.0,17.400000000000002,17.8,18.2,18.6,19.0,19.400000000000002,19.8]) - - # Creating weights for histo: y18_M_0 - y18_M_0_weights = numpy.array([3.784718,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y18_M_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ e ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y18_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y18_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_17.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_17.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_17.eps') - -# Running! -if __name__ == '__main__': - selection_17() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_170.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_170.C deleted file mode 100644 index 97de8931..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_170.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_170() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo341","canvas_plotflow_tempo341",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S171_DELTAR_0 = new TH1F("S171_DELTAR_0","S171_DELTAR_0",50,0.0,10.0); - // Content - S171_DELTAR_0->SetBinContent(0,0.0); // underflow - S171_DELTAR_0->SetBinContent(1,0.03089566); - S171_DELTAR_0->SetBinContent(2,0.03089566); - S171_DELTAR_0->SetBinContent(3,0.1699261); - S171_DELTAR_0->SetBinContent(4,0.1390305); - S171_DELTAR_0->SetBinContent(5,0.2162696); - S171_DELTAR_0->SetBinContent(6,0.3553001); - S171_DELTAR_0->SetBinContent(7,0.2626131); - S171_DELTAR_0->SetBinContent(8,0.5097784); - S171_DELTAR_0->SetBinContent(9,0.4170914); - S171_DELTAR_0->SetBinContent(10,0.540674); - S171_DELTAR_0->SetBinContent(11,0.540674); - S171_DELTAR_0->SetBinContent(12,0.4170914); - S171_DELTAR_0->SetBinContent(13,0.6024654); - S171_DELTAR_0->SetBinContent(14,0.6642567); - S171_DELTAR_0->SetBinContent(15,1.096796); - S171_DELTAR_0->SetBinContent(16,0.6797045); - S171_DELTAR_0->SetBinContent(17,0.5097784); - S171_DELTAR_0->SetBinContent(18,0.3244044); - S171_DELTAR_0->SetBinContent(19,0.1235826); - S171_DELTAR_0->SetBinContent(20,0.1081348); - S171_DELTAR_0->SetBinContent(21,0.06179132); - S171_DELTAR_0->SetBinContent(22,0.0); - S171_DELTAR_0->SetBinContent(23,0.0); - S171_DELTAR_0->SetBinContent(24,0.01544783); - S171_DELTAR_0->SetBinContent(25,0.0); - S171_DELTAR_0->SetBinContent(26,0.0); - S171_DELTAR_0->SetBinContent(27,0.0); - S171_DELTAR_0->SetBinContent(28,0.0); - S171_DELTAR_0->SetBinContent(29,0.0); - S171_DELTAR_0->SetBinContent(30,0.0); - S171_DELTAR_0->SetBinContent(31,0.0); - S171_DELTAR_0->SetBinContent(32,0.0); - S171_DELTAR_0->SetBinContent(33,0.0); - S171_DELTAR_0->SetBinContent(34,0.0); - S171_DELTAR_0->SetBinContent(35,0.0); - S171_DELTAR_0->SetBinContent(36,0.0); - S171_DELTAR_0->SetBinContent(37,0.0); - S171_DELTAR_0->SetBinContent(38,0.0); - S171_DELTAR_0->SetBinContent(39,0.0); - S171_DELTAR_0->SetBinContent(40,0.0); - S171_DELTAR_0->SetBinContent(41,0.0); - S171_DELTAR_0->SetBinContent(42,0.0); - S171_DELTAR_0->SetBinContent(43,0.0); - S171_DELTAR_0->SetBinContent(44,0.0); - S171_DELTAR_0->SetBinContent(45,0.0); - S171_DELTAR_0->SetBinContent(46,0.0); - S171_DELTAR_0->SetBinContent(47,0.0); - S171_DELTAR_0->SetBinContent(48,0.0); - S171_DELTAR_0->SetBinContent(49,0.0); - S171_DELTAR_0->SetBinContent(50,0.0); - S171_DELTAR_0->SetBinContent(51,0.0); // overflow - S171_DELTAR_0->SetEntries(506); - // Style - S171_DELTAR_0->SetLineColor(9); - S171_DELTAR_0->SetLineStyle(1); - S171_DELTAR_0->SetLineWidth(1); - S171_DELTAR_0->SetFillColor(9); - S171_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_342","mystack"); - stack->Add(S171_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ e_{1}, j_{1} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_170.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_170.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_170.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_170.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_170.py deleted file mode 100644 index e9c32f30..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_170.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_170(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y171_DELTAR_0 - y171_DELTAR_0_weights = numpy.array([0.03089566,0.03089566,0.1699261,0.1390305,0.2162696,0.3553001,0.2626131,0.5097784,0.4170914,0.540674,0.540674,0.4170914,0.6024654,0.6642567,1.096796,0.6797045,0.5097784,0.3244044,0.1235826,0.1081348,0.06179132,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y171_DELTAR_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ e_{1}, j_{1} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y171_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y171_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_170.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_170.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_170.eps') - -# Running! -if __name__ == '__main__': - selection_170() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_171.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_171.C deleted file mode 100644 index 65e8178c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_171.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_171() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo343","canvas_plotflow_tempo343",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S172_DELTAR_0 = new TH1F("S172_DELTAR_0","S172_DELTAR_0",50,0.0,10.0); - // Content - S172_DELTAR_0->SetBinContent(0,0.0); // underflow - S172_DELTAR_0->SetBinContent(1,0.01544783); - S172_DELTAR_0->SetBinContent(2,0.09268698); - S172_DELTAR_0->SetBinContent(3,0.1390305); - S172_DELTAR_0->SetBinContent(4,0.2008218); - S172_DELTAR_0->SetBinContent(5,0.1699261); - S172_DELTAR_0->SetBinContent(6,0.2317174); - S172_DELTAR_0->SetBinContent(7,0.2626131); - S172_DELTAR_0->SetBinContent(8,0.4170914); - S172_DELTAR_0->SetBinContent(9,0.540674); - S172_DELTAR_0->SetBinContent(10,0.4170914); - S172_DELTAR_0->SetBinContent(11,0.5561219); - S172_DELTAR_0->SetBinContent(12,0.6179132); - S172_DELTAR_0->SetBinContent(13,0.6488089); - S172_DELTAR_0->SetBinContent(14,0.7414958); - S172_DELTAR_0->SetBinContent(15,0.9577655); - S172_DELTAR_0->SetBinContent(16,0.6797045); - S172_DELTAR_0->SetBinContent(17,0.3707479); - S172_DELTAR_0->SetBinContent(18,0.3244044); - S172_DELTAR_0->SetBinContent(19,0.1081348); - S172_DELTAR_0->SetBinContent(20,0.07723915); - S172_DELTAR_0->SetBinContent(21,0.04634349); - S172_DELTAR_0->SetBinContent(22,0.01544783); - S172_DELTAR_0->SetBinContent(23,0.0); - S172_DELTAR_0->SetBinContent(24,0.0); - S172_DELTAR_0->SetBinContent(25,0.0); - S172_DELTAR_0->SetBinContent(26,0.0); - S172_DELTAR_0->SetBinContent(27,0.0); - S172_DELTAR_0->SetBinContent(28,0.0); - S172_DELTAR_0->SetBinContent(29,0.0); - S172_DELTAR_0->SetBinContent(30,0.0); - S172_DELTAR_0->SetBinContent(31,0.0); - S172_DELTAR_0->SetBinContent(32,0.0); - S172_DELTAR_0->SetBinContent(33,0.0); - S172_DELTAR_0->SetBinContent(34,0.0); - S172_DELTAR_0->SetBinContent(35,0.0); - S172_DELTAR_0->SetBinContent(36,0.0); - S172_DELTAR_0->SetBinContent(37,0.0); - S172_DELTAR_0->SetBinContent(38,0.0); - S172_DELTAR_0->SetBinContent(39,0.0); - S172_DELTAR_0->SetBinContent(40,0.0); - S172_DELTAR_0->SetBinContent(41,0.0); - S172_DELTAR_0->SetBinContent(42,0.0); - S172_DELTAR_0->SetBinContent(43,0.0); - S172_DELTAR_0->SetBinContent(44,0.0); - S172_DELTAR_0->SetBinContent(45,0.0); - S172_DELTAR_0->SetBinContent(46,0.0); - S172_DELTAR_0->SetBinContent(47,0.0); - S172_DELTAR_0->SetBinContent(48,0.0); - S172_DELTAR_0->SetBinContent(49,0.0); - S172_DELTAR_0->SetBinContent(50,0.0); - S172_DELTAR_0->SetBinContent(51,0.0); // overflow - S172_DELTAR_0->SetEntries(494); - // Style - S172_DELTAR_0->SetLineColor(9); - S172_DELTAR_0->SetLineStyle(1); - S172_DELTAR_0->SetLineWidth(1); - S172_DELTAR_0->SetFillColor(9); - S172_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_344","mystack"); - stack->Add(S172_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ mu_{1}, j_{1} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_171.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_171.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_171.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_171.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_171.py deleted file mode 100644 index a50b57d4..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_171.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_171(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y172_DELTAR_0 - y172_DELTAR_0_weights = numpy.array([0.01544783,0.09268698,0.1390305,0.2008218,0.1699261,0.2317174,0.2626131,0.4170914,0.540674,0.4170914,0.5561219,0.6179132,0.6488089,0.7414958,0.9577655,0.6797045,0.3707479,0.3244044,0.1081348,0.07723915,0.04634349,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y172_DELTAR_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ mu_{1}, j_{1} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y172_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y172_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_171.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_171.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_171.eps') - -# Running! -if __name__ == '__main__': - selection_171() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_172.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_172.C deleted file mode 100644 index 6e2db93d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_172.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_172() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo345","canvas_plotflow_tempo345",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S173_DELTAR_0 = new TH1F("S173_DELTAR_0","S173_DELTAR_0",50,0.0,10.0); - // Content - S173_DELTAR_0->SetBinContent(0,0.0); // underflow - S173_DELTAR_0->SetBinContent(1,0.0); - S173_DELTAR_0->SetBinContent(2,0.0); - S173_DELTAR_0->SetBinContent(3,0.185374); - S173_DELTAR_0->SetBinContent(4,0.3707479); - S173_DELTAR_0->SetBinContent(5,0.6024654); - S173_DELTAR_0->SetBinContent(6,0.8496306); - S173_DELTAR_0->SetBinContent(7,0.4943306); - S173_DELTAR_0->SetBinContent(8,0.9732133); - S173_DELTAR_0->SetBinContent(9,1.158587); - S173_DELTAR_0->SetBinContent(10,1.050452); - S173_DELTAR_0->SetBinContent(11,1.266722); - S173_DELTAR_0->SetBinContent(12,1.251274); - S173_DELTAR_0->SetBinContent(13,1.467544); - S173_DELTAR_0->SetBinContent(14,1.235826); - S173_DELTAR_0->SetBinContent(15,1.544783); - S173_DELTAR_0->SetBinContent(16,1.436648); - S173_DELTAR_0->SetBinContent(17,0.726048); - S173_DELTAR_0->SetBinContent(18,0.3861957); - S173_DELTAR_0->SetBinContent(19,0.2317174); - S173_DELTAR_0->SetBinContent(20,0.09268698); - S173_DELTAR_0->SetBinContent(21,0.03089566); - S173_DELTAR_0->SetBinContent(22,0.03089566); - S173_DELTAR_0->SetBinContent(23,0.04634349); - S173_DELTAR_0->SetBinContent(24,0.01544783); - S173_DELTAR_0->SetBinContent(25,0.0); - S173_DELTAR_0->SetBinContent(26,0.0); - S173_DELTAR_0->SetBinContent(27,0.0); - S173_DELTAR_0->SetBinContent(28,0.0); - S173_DELTAR_0->SetBinContent(29,0.0); - S173_DELTAR_0->SetBinContent(30,0.0); - S173_DELTAR_0->SetBinContent(31,0.0); - S173_DELTAR_0->SetBinContent(32,0.0); - S173_DELTAR_0->SetBinContent(33,0.0); - S173_DELTAR_0->SetBinContent(34,0.0); - S173_DELTAR_0->SetBinContent(35,0.0); - S173_DELTAR_0->SetBinContent(36,0.0); - S173_DELTAR_0->SetBinContent(37,0.0); - S173_DELTAR_0->SetBinContent(38,0.0); - S173_DELTAR_0->SetBinContent(39,0.0); - S173_DELTAR_0->SetBinContent(40,0.0); - S173_DELTAR_0->SetBinContent(41,0.0); - S173_DELTAR_0->SetBinContent(42,0.0); - S173_DELTAR_0->SetBinContent(43,0.0); - S173_DELTAR_0->SetBinContent(44,0.0); - S173_DELTAR_0->SetBinContent(45,0.0); - S173_DELTAR_0->SetBinContent(46,0.0); - S173_DELTAR_0->SetBinContent(47,0.0); - S173_DELTAR_0->SetBinContent(48,0.0); - S173_DELTAR_0->SetBinContent(49,0.0); - S173_DELTAR_0->SetBinContent(50,0.0); - S173_DELTAR_0->SetBinContent(51,0.0); // overflow - S173_DELTAR_0->SetEntries(1000); - // Style - S173_DELTAR_0->SetLineColor(9); - S173_DELTAR_0->SetLineStyle(1); - S173_DELTAR_0->SetLineWidth(1); - S173_DELTAR_0->SetFillColor(9); - S173_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_346","mystack"); - stack->Add(S173_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ b_{1}, j_{1} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_172.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_172.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_172.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_172.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_172.py deleted file mode 100644 index 6a855a86..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_172.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_172(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y173_DELTAR_0 - y173_DELTAR_0_weights = numpy.array([0.0,0.0,0.185374,0.3707479,0.6024654,0.8496306,0.4943306,0.9732133,1.158587,1.050452,1.266722,1.251274,1.467544,1.235826,1.544783,1.436648,0.726048,0.3861957,0.2317174,0.09268698,0.03089566,0.03089566,0.04634349,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y173_DELTAR_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ b_{1}, j_{1} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y173_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y173_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_172.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_172.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_172.eps') - -# Running! -if __name__ == '__main__': - selection_172() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_173.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_173.C deleted file mode 100644 index 02a3c472..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_173.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_173() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo347","canvas_plotflow_tempo347",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S174_M_0 = new TH1F("S174_M_0","S174_M_0",50,0.0,1000.0); - // Content - S174_M_0->SetBinContent(0,0.0); // underflow - S174_M_0->SetBinContent(1,0.0); - S174_M_0->SetBinContent(2,0.0); - S174_M_0->SetBinContent(3,0.0); - S174_M_0->SetBinContent(4,0.0); - S174_M_0->SetBinContent(5,0.0); - S174_M_0->SetBinContent(6,0.0); - S174_M_0->SetBinContent(7,0.0); - S174_M_0->SetBinContent(8,0.0); - S174_M_0->SetBinContent(9,0.0); - S174_M_0->SetBinContent(10,0.0); - S174_M_0->SetBinContent(11,0.0); - S174_M_0->SetBinContent(12,0.0); - S174_M_0->SetBinContent(13,0.0); - S174_M_0->SetBinContent(14,0.0); - S174_M_0->SetBinContent(15,0.0); - S174_M_0->SetBinContent(16,0.0); - S174_M_0->SetBinContent(17,0.0); - S174_M_0->SetBinContent(18,0.0); - S174_M_0->SetBinContent(19,0.0); - S174_M_0->SetBinContent(20,0.0); - S174_M_0->SetBinContent(21,0.0); - S174_M_0->SetBinContent(22,0.0); - S174_M_0->SetBinContent(23,0.0); - S174_M_0->SetBinContent(24,0.0); - S174_M_0->SetBinContent(25,0.0); - S174_M_0->SetBinContent(26,0.0); - S174_M_0->SetBinContent(27,0.0); - S174_M_0->SetBinContent(28,0.0); - S174_M_0->SetBinContent(29,0.0); - S174_M_0->SetBinContent(30,0.0); - S174_M_0->SetBinContent(31,0.0); - S174_M_0->SetBinContent(32,0.0); - S174_M_0->SetBinContent(33,0.0); - S174_M_0->SetBinContent(34,0.0); - S174_M_0->SetBinContent(35,0.0); - S174_M_0->SetBinContent(36,0.0); - S174_M_0->SetBinContent(37,0.0); - S174_M_0->SetBinContent(38,0.0); - S174_M_0->SetBinContent(39,0.0); - S174_M_0->SetBinContent(40,0.0); - S174_M_0->SetBinContent(41,0.0); - S174_M_0->SetBinContent(42,0.0); - S174_M_0->SetBinContent(43,0.0); - S174_M_0->SetBinContent(44,0.0); - S174_M_0->SetBinContent(45,0.0); - S174_M_0->SetBinContent(46,0.0); - S174_M_0->SetBinContent(47,0.0); - S174_M_0->SetBinContent(48,0.0); - S174_M_0->SetBinContent(49,0.0); - S174_M_0->SetBinContent(50,0.0); - S174_M_0->SetBinContent(51,0.0); // overflow - S174_M_0->SetEntries(0); - // Style - S174_M_0->SetLineColor(9); - S174_M_0->SetLineStyle(1); - S174_M_0->SetLineWidth(1); - S174_M_0->SetFillColor(9); - S174_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_348","mystack"); - stack->Add(S174_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ e_{1} mu_{1} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_173.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_173.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_173.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_173.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_173.py deleted file mode 100644 index ffedb085..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_173.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_173(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y174_M_0 - y174_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y174_M_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ e_{1} mu_{1} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y174_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y174_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_173.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_173.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_173.eps') - -# Running! -if __name__ == '__main__': - selection_173() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_174.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_174.C deleted file mode 100644 index 550b3b14..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_174.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_174() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo349","canvas_plotflow_tempo349",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S175_M_0 = new TH1F("S175_M_0","S175_M_0",50,0.0,2000.0); - // Content - S175_M_0->SetBinContent(0,0.0); // underflow - S175_M_0->SetBinContent(1,0.7106002); - S175_M_0->SetBinContent(2,2.008218); - S175_M_0->SetBinContent(3,1.946427); - S175_M_0->SetBinContent(4,1.313066); - S175_M_0->SetBinContent(5,0.633361); - S175_M_0->SetBinContent(6,0.4788827); - S175_M_0->SetBinContent(7,0.3244044); - S175_M_0->SetBinContent(8,0.1699261); - S175_M_0->SetBinContent(9,0.1235826); - S175_M_0->SetBinContent(10,0.01544783); - S175_M_0->SetBinContent(11,0.04634349); - S175_M_0->SetBinContent(12,0.01544783); - S175_M_0->SetBinContent(13,0.0); - S175_M_0->SetBinContent(14,0.01544783); - S175_M_0->SetBinContent(15,0.01544783); - S175_M_0->SetBinContent(16,0.0); - S175_M_0->SetBinContent(17,0.0); - S175_M_0->SetBinContent(18,0.0); - S175_M_0->SetBinContent(19,0.0); - S175_M_0->SetBinContent(20,0.0); - S175_M_0->SetBinContent(21,0.0); - S175_M_0->SetBinContent(22,0.0); - S175_M_0->SetBinContent(23,0.0); - S175_M_0->SetBinContent(24,0.0); - S175_M_0->SetBinContent(25,0.0); - S175_M_0->SetBinContent(26,0.0); - S175_M_0->SetBinContent(27,0.0); - S175_M_0->SetBinContent(28,0.0); - S175_M_0->SetBinContent(29,0.0); - S175_M_0->SetBinContent(30,0.0); - S175_M_0->SetBinContent(31,0.0); - S175_M_0->SetBinContent(32,0.0); - S175_M_0->SetBinContent(33,0.0); - S175_M_0->SetBinContent(34,0.0); - S175_M_0->SetBinContent(35,0.0); - S175_M_0->SetBinContent(36,0.0); - S175_M_0->SetBinContent(37,0.0); - S175_M_0->SetBinContent(38,0.0); - S175_M_0->SetBinContent(39,0.0); - S175_M_0->SetBinContent(40,0.0); - S175_M_0->SetBinContent(41,0.0); - S175_M_0->SetBinContent(42,0.0); - S175_M_0->SetBinContent(43,0.0); - S175_M_0->SetBinContent(44,0.0); - S175_M_0->SetBinContent(45,0.0); - S175_M_0->SetBinContent(46,0.0); - S175_M_0->SetBinContent(47,0.0); - S175_M_0->SetBinContent(48,0.0); - S175_M_0->SetBinContent(49,0.0); - S175_M_0->SetBinContent(50,0.0); - S175_M_0->SetBinContent(51,0.0); // overflow - S175_M_0->SetEntries(506); - // Style - S175_M_0->SetLineColor(9); - S175_M_0->SetLineStyle(1); - S175_M_0->SetLineWidth(1); - S175_M_0->SetFillColor(9); - S175_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_350","mystack"); - stack->Add(S175_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ e_{1} j_{1} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_174.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_174.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_174.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_174.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_174.py deleted file mode 100644 index b96cada5..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_174.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_174(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y175_M_0 - y175_M_0_weights = numpy.array([0.7106002,2.008218,1.946427,1.313066,0.633361,0.4788827,0.3244044,0.1699261,0.1235826,0.01544783,0.04634349,0.01544783,0.0,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y175_M_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ e_{1} j_{1} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y175_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y175_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_174.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_174.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_174.eps') - -# Running! -if __name__ == '__main__': - selection_174() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_175.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_175.C deleted file mode 100644 index e27a8178..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_175.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_175() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo351","canvas_plotflow_tempo351",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S176_M_0 = new TH1F("S176_M_0","S176_M_0",50,0.0,2000.0); - // Content - S176_M_0->SetBinContent(0,0.0); // underflow - S176_M_0->SetBinContent(1,0.6951523); - S176_M_0->SetBinContent(2,1.85374); - S176_M_0->SetBinContent(3,1.961874); - S176_M_0->SetBinContent(4,1.452096); - S176_M_0->SetBinContent(5,0.726048); - S176_M_0->SetBinContent(6,0.4016436); - S176_M_0->SetBinContent(7,0.3089566); - S176_M_0->SetBinContent(8,0.1390305); - S176_M_0->SetBinContent(9,0.04634349); - S176_M_0->SetBinContent(10,0.01544783); - S176_M_0->SetBinContent(11,0.01544783); - S176_M_0->SetBinContent(12,0.01544783); - S176_M_0->SetBinContent(13,0.0); - S176_M_0->SetBinContent(14,0.0); - S176_M_0->SetBinContent(15,0.0); - S176_M_0->SetBinContent(16,0.0); - S176_M_0->SetBinContent(17,0.0); - S176_M_0->SetBinContent(18,0.0); - S176_M_0->SetBinContent(19,0.0); - S176_M_0->SetBinContent(20,0.0); - S176_M_0->SetBinContent(21,0.0); - S176_M_0->SetBinContent(22,0.0); - S176_M_0->SetBinContent(23,0.0); - S176_M_0->SetBinContent(24,0.0); - S176_M_0->SetBinContent(25,0.0); - S176_M_0->SetBinContent(26,0.0); - S176_M_0->SetBinContent(27,0.0); - S176_M_0->SetBinContent(28,0.0); - S176_M_0->SetBinContent(29,0.0); - S176_M_0->SetBinContent(30,0.0); - S176_M_0->SetBinContent(31,0.0); - S176_M_0->SetBinContent(32,0.0); - S176_M_0->SetBinContent(33,0.0); - S176_M_0->SetBinContent(34,0.0); - S176_M_0->SetBinContent(35,0.0); - S176_M_0->SetBinContent(36,0.0); - S176_M_0->SetBinContent(37,0.0); - S176_M_0->SetBinContent(38,0.0); - S176_M_0->SetBinContent(39,0.0); - S176_M_0->SetBinContent(40,0.0); - S176_M_0->SetBinContent(41,0.0); - S176_M_0->SetBinContent(42,0.0); - S176_M_0->SetBinContent(43,0.0); - S176_M_0->SetBinContent(44,0.0); - S176_M_0->SetBinContent(45,0.0); - S176_M_0->SetBinContent(46,0.0); - S176_M_0->SetBinContent(47,0.0); - S176_M_0->SetBinContent(48,0.0); - S176_M_0->SetBinContent(49,0.0); - S176_M_0->SetBinContent(50,0.0); - S176_M_0->SetBinContent(51,0.0); // overflow - S176_M_0->SetEntries(494); - // Style - S176_M_0->SetLineColor(9); - S176_M_0->SetLineStyle(1); - S176_M_0->SetLineWidth(1); - S176_M_0->SetFillColor(9); - S176_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_352","mystack"); - stack->Add(S176_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ j_{1} mu_{1} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_175.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_175.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_175.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_175.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_175.py deleted file mode 100644 index 2c651657..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_175.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_175(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y176_M_0 - y176_M_0_weights = numpy.array([0.6951523,1.85374,1.961874,1.452096,0.726048,0.4016436,0.3089566,0.1390305,0.04634349,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y176_M_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ j_{1} mu_{1} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y176_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y176_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_175.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_175.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_175.eps') - -# Running! -if __name__ == '__main__': - selection_175() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_176.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_176.C deleted file mode 100644 index 671a83d7..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_176.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_176() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo353","canvas_plotflow_tempo353",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S177_M_0 = new TH1F("S177_M_0","S177_M_0",50,0.0,3000.0); - // Content - S177_M_0->SetBinContent(0,0.0); // underflow - S177_M_0->SetBinContent(1,0.8650785); - S177_M_0->SetBinContent(2,5.808384); - S177_M_0->SetBinContent(3,6.225475); - S177_M_0->SetBinContent(4,1.482992); - S177_M_0->SetBinContent(5,0.540674); - S177_M_0->SetBinContent(6,0.2935088); - S177_M_0->SetBinContent(7,0.1390305); - S177_M_0->SetBinContent(8,0.03089566); - S177_M_0->SetBinContent(9,0.04634349); - S177_M_0->SetBinContent(10,0.0); - S177_M_0->SetBinContent(11,0.0); - S177_M_0->SetBinContent(12,0.01544783); - S177_M_0->SetBinContent(13,0.0); - S177_M_0->SetBinContent(14,0.0); - S177_M_0->SetBinContent(15,0.0); - S177_M_0->SetBinContent(16,0.0); - S177_M_0->SetBinContent(17,0.0); - S177_M_0->SetBinContent(18,0.0); - S177_M_0->SetBinContent(19,0.0); - S177_M_0->SetBinContent(20,0.0); - S177_M_0->SetBinContent(21,0.0); - S177_M_0->SetBinContent(22,0.0); - S177_M_0->SetBinContent(23,0.0); - S177_M_0->SetBinContent(24,0.0); - S177_M_0->SetBinContent(25,0.0); - S177_M_0->SetBinContent(26,0.0); - S177_M_0->SetBinContent(27,0.0); - S177_M_0->SetBinContent(28,0.0); - S177_M_0->SetBinContent(29,0.0); - S177_M_0->SetBinContent(30,0.0); - S177_M_0->SetBinContent(31,0.0); - S177_M_0->SetBinContent(32,0.0); - S177_M_0->SetBinContent(33,0.0); - S177_M_0->SetBinContent(34,0.0); - S177_M_0->SetBinContent(35,0.0); - S177_M_0->SetBinContent(36,0.0); - S177_M_0->SetBinContent(37,0.0); - S177_M_0->SetBinContent(38,0.0); - S177_M_0->SetBinContent(39,0.0); - S177_M_0->SetBinContent(40,0.0); - S177_M_0->SetBinContent(41,0.0); - S177_M_0->SetBinContent(42,0.0); - S177_M_0->SetBinContent(43,0.0); - S177_M_0->SetBinContent(44,0.0); - S177_M_0->SetBinContent(45,0.0); - S177_M_0->SetBinContent(46,0.0); - S177_M_0->SetBinContent(47,0.0); - S177_M_0->SetBinContent(48,0.0); - S177_M_0->SetBinContent(49,0.0); - S177_M_0->SetBinContent(50,0.0); - S177_M_0->SetBinContent(51,0.0); // overflow - S177_M_0->SetEntries(1000); - // Style - S177_M_0->SetLineColor(9); - S177_M_0->SetLineStyle(1); - S177_M_0->SetLineWidth(1); - S177_M_0->SetFillColor(9); - S177_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_354","mystack"); - stack->Add(S177_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ b_{1} j_{1} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_176.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_176.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_176.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_176.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_176.py deleted file mode 100644 index c18bcd99..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_176.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_176(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) - - # Creating weights for histo: y177_M_0 - y177_M_0_weights = numpy.array([0.8650785,5.808384,6.225475,1.482992,0.540674,0.2935088,0.1390305,0.03089566,0.04634349,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y177_M_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ b_{1} j_{1} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y177_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y177_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_176.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_176.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_176.eps') - -# Running! -if __name__ == '__main__': - selection_176() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_177.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_177.C deleted file mode 100644 index 82a70733..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_177.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_177() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo355","canvas_plotflow_tempo355",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S178_PT_0 = new TH1F("S178_PT_0","S178_PT_0",50,0.0,1500.0); - // Content - S178_PT_0->SetBinContent(0,0.0); // underflow - S178_PT_0->SetBinContent(1,0.0); - S178_PT_0->SetBinContent(2,0.0); - S178_PT_0->SetBinContent(3,0.0); - S178_PT_0->SetBinContent(4,0.0); - S178_PT_0->SetBinContent(5,0.0); - S178_PT_0->SetBinContent(6,0.0); - S178_PT_0->SetBinContent(7,0.0); - S178_PT_0->SetBinContent(8,0.0); - S178_PT_0->SetBinContent(9,0.0); - S178_PT_0->SetBinContent(10,0.0); - S178_PT_0->SetBinContent(11,0.0); - S178_PT_0->SetBinContent(12,0.0); - S178_PT_0->SetBinContent(13,0.0); - S178_PT_0->SetBinContent(14,0.0); - S178_PT_0->SetBinContent(15,0.0); - S178_PT_0->SetBinContent(16,0.0); - S178_PT_0->SetBinContent(17,0.0); - S178_PT_0->SetBinContent(18,0.0); - S178_PT_0->SetBinContent(19,0.0); - S178_PT_0->SetBinContent(20,0.0); - S178_PT_0->SetBinContent(21,0.0); - S178_PT_0->SetBinContent(22,0.0); - S178_PT_0->SetBinContent(23,0.0); - S178_PT_0->SetBinContent(24,0.0); - S178_PT_0->SetBinContent(25,0.0); - S178_PT_0->SetBinContent(26,0.0); - S178_PT_0->SetBinContent(27,0.0); - S178_PT_0->SetBinContent(28,0.0); - S178_PT_0->SetBinContent(29,0.0); - S178_PT_0->SetBinContent(30,0.0); - S178_PT_0->SetBinContent(31,0.0); - S178_PT_0->SetBinContent(32,0.0); - S178_PT_0->SetBinContent(33,0.0); - S178_PT_0->SetBinContent(34,0.0); - S178_PT_0->SetBinContent(35,0.0); - S178_PT_0->SetBinContent(36,0.0); - S178_PT_0->SetBinContent(37,0.0); - S178_PT_0->SetBinContent(38,0.0); - S178_PT_0->SetBinContent(39,0.0); - S178_PT_0->SetBinContent(40,0.0); - S178_PT_0->SetBinContent(41,0.0); - S178_PT_0->SetBinContent(42,0.0); - S178_PT_0->SetBinContent(43,0.0); - S178_PT_0->SetBinContent(44,0.0); - S178_PT_0->SetBinContent(45,0.0); - S178_PT_0->SetBinContent(46,0.0); - S178_PT_0->SetBinContent(47,0.0); - S178_PT_0->SetBinContent(48,0.0); - S178_PT_0->SetBinContent(49,0.0); - S178_PT_0->SetBinContent(50,0.0); - S178_PT_0->SetBinContent(51,0.0); // overflow - S178_PT_0->SetEntries(0); - // Style - S178_PT_0->SetLineColor(9); - S178_PT_0->SetLineStyle(1); - S178_PT_0->SetLineWidth(1); - S178_PT_0->SetFillColor(9); - S178_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_356","mystack"); - stack->Add(S178_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ e_{1} mu_{1} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_177.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_177.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_177.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_177.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_177.py deleted file mode 100644 index 7b983c86..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_177.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_177(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) - - # Creating weights for histo: y178_PT_0 - y178_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y178_PT_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ e_{1} mu_{1} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y178_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y178_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_177.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_177.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_177.eps') - -# Running! -if __name__ == '__main__': - selection_177() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_178.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_178.C deleted file mode 100644 index 71580d92..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_178.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_178() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo357","canvas_plotflow_tempo357",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S179_PT_0 = new TH1F("S179_PT_0","S179_PT_0",50,0.0,3000.0); - // Content - S179_PT_0->SetBinContent(0,0.0); // underflow - S179_PT_0->SetBinContent(1,5.082336); - S179_PT_0->SetBinContent(2,7.291376); - S179_PT_0->SetBinContent(3,2.34807); - S179_PT_0->SetBinContent(4,0.4943306); - S179_PT_0->SetBinContent(5,0.1544783); - S179_PT_0->SetBinContent(6,0.04634349); - S179_PT_0->SetBinContent(7,0.03089566); - S179_PT_0->SetBinContent(8,0.0); - S179_PT_0->SetBinContent(9,0.0); - S179_PT_0->SetBinContent(10,0.0); - S179_PT_0->SetBinContent(11,0.0); - S179_PT_0->SetBinContent(12,0.0); - S179_PT_0->SetBinContent(13,0.0); - S179_PT_0->SetBinContent(14,0.0); - S179_PT_0->SetBinContent(15,0.0); - S179_PT_0->SetBinContent(16,0.0); - S179_PT_0->SetBinContent(17,0.0); - S179_PT_0->SetBinContent(18,0.0); - S179_PT_0->SetBinContent(19,0.0); - S179_PT_0->SetBinContent(20,0.0); - S179_PT_0->SetBinContent(21,0.0); - S179_PT_0->SetBinContent(22,0.0); - S179_PT_0->SetBinContent(23,0.0); - S179_PT_0->SetBinContent(24,0.0); - S179_PT_0->SetBinContent(25,0.0); - S179_PT_0->SetBinContent(26,0.0); - S179_PT_0->SetBinContent(27,0.0); - S179_PT_0->SetBinContent(28,0.0); - S179_PT_0->SetBinContent(29,0.0); - S179_PT_0->SetBinContent(30,0.0); - S179_PT_0->SetBinContent(31,0.0); - S179_PT_0->SetBinContent(32,0.0); - S179_PT_0->SetBinContent(33,0.0); - S179_PT_0->SetBinContent(34,0.0); - S179_PT_0->SetBinContent(35,0.0); - S179_PT_0->SetBinContent(36,0.0); - S179_PT_0->SetBinContent(37,0.0); - S179_PT_0->SetBinContent(38,0.0); - S179_PT_0->SetBinContent(39,0.0); - S179_PT_0->SetBinContent(40,0.0); - S179_PT_0->SetBinContent(41,0.0); - S179_PT_0->SetBinContent(42,0.0); - S179_PT_0->SetBinContent(43,0.0); - S179_PT_0->SetBinContent(44,0.0); - S179_PT_0->SetBinContent(45,0.0); - S179_PT_0->SetBinContent(46,0.0); - S179_PT_0->SetBinContent(47,0.0); - S179_PT_0->SetBinContent(48,0.0); - S179_PT_0->SetBinContent(49,0.0); - S179_PT_0->SetBinContent(50,0.0); - S179_PT_0->SetBinContent(51,0.0); // overflow - S179_PT_0->SetEntries(1000); - // Style - S179_PT_0->SetLineColor(9); - S179_PT_0->SetLineStyle(1); - S179_PT_0->SetLineWidth(1); - S179_PT_0->SetFillColor(9); - S179_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_358","mystack"); - stack->Add(S179_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ b_{1} j_{1} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_178.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_178.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_178.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_178.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_178.py deleted file mode 100644 index 119e6c5e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_178.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_178(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([30.0,90.0,150.0,210.0,270.0,330.0,390.0,450.0,510.0,570.0,630.0,690.0,750.0,810.0,870.0,930.0,990.0,1050.0,1110.0,1170.0,1230.0,1290.0,1350.0,1410.0,1470.0,1530.0,1590.0,1650.0,1710.0,1770.0,1830.0,1890.0,1950.0,2010.0,2070.0,2130.0,2190.0,2250.0,2310.0,2370.0,2430.0,2490.0,2550.0,2610.0,2670.0,2730.0,2790.0,2850.0,2910.0,2970.0]) - - # Creating weights for histo: y179_PT_0 - y179_PT_0_weights = numpy.array([5.082336,7.291376,2.34807,0.4943306,0.1544783,0.04634349,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y179_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ b_{1} j_{1} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y179_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y179_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_178.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_178.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_178.eps') - -# Running! -if __name__ == '__main__': - selection_178() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_18.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_18.C deleted file mode 100644 index 9c61ea60..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_18.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_18() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo37","canvas_plotflow_tempo37",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S19_MT_0 = new TH1F("S19_MT_0","S19_MT_0",50,0.0,1000.0); - // Content - S19_MT_0->SetBinContent(0,0.0); // underflow - S19_MT_0->SetBinContent(1,7.816602); - S19_MT_0->SetBinContent(2,0.0); - S19_MT_0->SetBinContent(3,0.0); - S19_MT_0->SetBinContent(4,0.0); - S19_MT_0->SetBinContent(5,0.0); - S19_MT_0->SetBinContent(6,0.0); - S19_MT_0->SetBinContent(7,0.0); - S19_MT_0->SetBinContent(8,0.0); - S19_MT_0->SetBinContent(9,0.0); - S19_MT_0->SetBinContent(10,0.0); - S19_MT_0->SetBinContent(11,0.0); - S19_MT_0->SetBinContent(12,0.0); - S19_MT_0->SetBinContent(13,0.0); - S19_MT_0->SetBinContent(14,0.0); - S19_MT_0->SetBinContent(15,0.0); - S19_MT_0->SetBinContent(16,0.0); - S19_MT_0->SetBinContent(17,0.0); - S19_MT_0->SetBinContent(18,0.0); - S19_MT_0->SetBinContent(19,0.0); - S19_MT_0->SetBinContent(20,0.0); - S19_MT_0->SetBinContent(21,0.0); - S19_MT_0->SetBinContent(22,0.0); - S19_MT_0->SetBinContent(23,0.0); - S19_MT_0->SetBinContent(24,0.0); - S19_MT_0->SetBinContent(25,0.0); - S19_MT_0->SetBinContent(26,0.0); - S19_MT_0->SetBinContent(27,0.0); - S19_MT_0->SetBinContent(28,0.0); - S19_MT_0->SetBinContent(29,0.0); - S19_MT_0->SetBinContent(30,0.0); - S19_MT_0->SetBinContent(31,0.0); - S19_MT_0->SetBinContent(32,0.0); - S19_MT_0->SetBinContent(33,0.0); - S19_MT_0->SetBinContent(34,0.0); - S19_MT_0->SetBinContent(35,0.0); - S19_MT_0->SetBinContent(36,0.0); - S19_MT_0->SetBinContent(37,0.0); - S19_MT_0->SetBinContent(38,0.0); - S19_MT_0->SetBinContent(39,0.0); - S19_MT_0->SetBinContent(40,0.0); - S19_MT_0->SetBinContent(41,0.0); - S19_MT_0->SetBinContent(42,0.0); - S19_MT_0->SetBinContent(43,0.0); - S19_MT_0->SetBinContent(44,0.0); - S19_MT_0->SetBinContent(45,0.0); - S19_MT_0->SetBinContent(46,0.0); - S19_MT_0->SetBinContent(47,0.0); - S19_MT_0->SetBinContent(48,0.0); - S19_MT_0->SetBinContent(49,0.0); - S19_MT_0->SetBinContent(50,0.0); - S19_MT_0->SetBinContent(51,0.0); // overflow - S19_MT_0->SetEntries(506); - // Style - S19_MT_0->SetLineColor(9); - S19_MT_0->SetLineStyle(1); - S19_MT_0->SetLineWidth(1); - S19_MT_0->SetFillColor(9); - S19_MT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_38","mystack"); - stack->Add(S19_MT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ e ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_18.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_18.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_18.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_18.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_18.py deleted file mode 100644 index 2742ace2..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_18.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_18(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y19_MT_0 - y19_MT_0_weights = numpy.array([7.816602,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y19_MT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ e ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y19_MT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y19_MT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_18.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_18.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_18.eps') - -# Running! -if __name__ == '__main__': - selection_18() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_19.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_19.C deleted file mode 100644 index b64c0592..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_19.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_19() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo39","canvas_plotflow_tempo39",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S20_MT_MET_0 = new TH1F("S20_MT_MET_0","S20_MT_MET_0",50,0.0,1000.0); - // Content - S20_MT_MET_0->SetBinContent(0,0.0); // underflow - S20_MT_MET_0->SetBinContent(1,0.6179132); - S20_MT_MET_0->SetBinContent(2,0.9886611); - S20_MT_MET_0->SetBinContent(3,1.699261); - S20_MT_MET_0->SetBinContent(4,3.63024); - S20_MT_MET_0->SetBinContent(5,0.8650785); - S20_MT_MET_0->SetBinContent(6,0.01544783); - S20_MT_MET_0->SetBinContent(7,0.0); - S20_MT_MET_0->SetBinContent(8,0.0); - S20_MT_MET_0->SetBinContent(9,0.0); - S20_MT_MET_0->SetBinContent(10,0.0); - S20_MT_MET_0->SetBinContent(11,0.0); - S20_MT_MET_0->SetBinContent(12,0.0); - S20_MT_MET_0->SetBinContent(13,0.0); - S20_MT_MET_0->SetBinContent(14,0.0); - S20_MT_MET_0->SetBinContent(15,0.0); - S20_MT_MET_0->SetBinContent(16,0.0); - S20_MT_MET_0->SetBinContent(17,0.0); - S20_MT_MET_0->SetBinContent(18,0.0); - S20_MT_MET_0->SetBinContent(19,0.0); - S20_MT_MET_0->SetBinContent(20,0.0); - S20_MT_MET_0->SetBinContent(21,0.0); - S20_MT_MET_0->SetBinContent(22,0.0); - S20_MT_MET_0->SetBinContent(23,0.0); - S20_MT_MET_0->SetBinContent(24,0.0); - S20_MT_MET_0->SetBinContent(25,0.0); - S20_MT_MET_0->SetBinContent(26,0.0); - S20_MT_MET_0->SetBinContent(27,0.0); - S20_MT_MET_0->SetBinContent(28,0.0); - S20_MT_MET_0->SetBinContent(29,0.0); - S20_MT_MET_0->SetBinContent(30,0.0); - S20_MT_MET_0->SetBinContent(31,0.0); - S20_MT_MET_0->SetBinContent(32,0.0); - S20_MT_MET_0->SetBinContent(33,0.0); - S20_MT_MET_0->SetBinContent(34,0.0); - S20_MT_MET_0->SetBinContent(35,0.0); - S20_MT_MET_0->SetBinContent(36,0.0); - S20_MT_MET_0->SetBinContent(37,0.0); - S20_MT_MET_0->SetBinContent(38,0.0); - S20_MT_MET_0->SetBinContent(39,0.0); - S20_MT_MET_0->SetBinContent(40,0.0); - S20_MT_MET_0->SetBinContent(41,0.0); - S20_MT_MET_0->SetBinContent(42,0.0); - S20_MT_MET_0->SetBinContent(43,0.0); - S20_MT_MET_0->SetBinContent(44,0.0); - S20_MT_MET_0->SetBinContent(45,0.0); - S20_MT_MET_0->SetBinContent(46,0.0); - S20_MT_MET_0->SetBinContent(47,0.0); - S20_MT_MET_0->SetBinContent(48,0.0); - S20_MT_MET_0->SetBinContent(49,0.0); - S20_MT_MET_0->SetBinContent(50,0.0); - S20_MT_MET_0->SetBinContent(51,0.0); // overflow - S20_MT_MET_0->SetEntries(506); - // Style - S20_MT_MET_0->SetLineColor(9); - S20_MT_MET_0->SetLineStyle(1); - S20_MT_MET_0->SetLineWidth(1); - S20_MT_MET_0->SetFillColor(9); - S20_MT_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_40","mystack"); - stack->Add(S20_MT_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ e ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_19.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_19.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_19.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_19.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_19.py deleted file mode 100644 index 62a69782..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_19.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_19(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y20_MT_MET_0 - y20_MT_MET_0_weights = numpy.array([0.6179132,0.9886611,1.699261,3.63024,0.8650785,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y20_MT_MET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ e ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y20_MT_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y20_MT_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_19.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_19.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_19.eps') - -# Running! -if __name__ == '__main__': - selection_19() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_2.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_2.C deleted file mode 100644 index b35178b2..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_2.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_2() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo5","canvas_plotflow_tempo5",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S3_ALPHA_QCD_0 = new TH1F("S3_ALPHA_QCD_0","S3_ALPHA_QCD_0",50,0.0,0.3); - // Content - S3_ALPHA_QCD_0->SetBinContent(0,0.0); // underflow - S3_ALPHA_QCD_0->SetBinContent(1,0.0); - S3_ALPHA_QCD_0->SetBinContent(2,0.0); - S3_ALPHA_QCD_0->SetBinContent(3,0.0); - S3_ALPHA_QCD_0->SetBinContent(4,0.0); - S3_ALPHA_QCD_0->SetBinContent(5,0.0); - S3_ALPHA_QCD_0->SetBinContent(6,0.0); - S3_ALPHA_QCD_0->SetBinContent(7,0.0); - S3_ALPHA_QCD_0->SetBinContent(8,0.0); - S3_ALPHA_QCD_0->SetBinContent(9,0.0); - S3_ALPHA_QCD_0->SetBinContent(10,0.0); - S3_ALPHA_QCD_0->SetBinContent(11,0.0); - S3_ALPHA_QCD_0->SetBinContent(12,0.0); - S3_ALPHA_QCD_0->SetBinContent(13,0.0); - S3_ALPHA_QCD_0->SetBinContent(14,0.0); - S3_ALPHA_QCD_0->SetBinContent(15,0.0); - S3_ALPHA_QCD_0->SetBinContent(16,0.0); - S3_ALPHA_QCD_0->SetBinContent(17,0.01544783); - S3_ALPHA_QCD_0->SetBinContent(18,0.5097784); - S3_ALPHA_QCD_0->SetBinContent(19,3.738375); - S3_ALPHA_QCD_0->SetBinContent(20,11.18423); - S3_ALPHA_QCD_0->SetBinContent(21,0.0); - S3_ALPHA_QCD_0->SetBinContent(22,0.0); - S3_ALPHA_QCD_0->SetBinContent(23,0.0); - S3_ALPHA_QCD_0->SetBinContent(24,0.0); - S3_ALPHA_QCD_0->SetBinContent(25,0.0); - S3_ALPHA_QCD_0->SetBinContent(26,0.0); - S3_ALPHA_QCD_0->SetBinContent(27,0.0); - S3_ALPHA_QCD_0->SetBinContent(28,0.0); - S3_ALPHA_QCD_0->SetBinContent(29,0.0); - S3_ALPHA_QCD_0->SetBinContent(30,0.0); - S3_ALPHA_QCD_0->SetBinContent(31,0.0); - S3_ALPHA_QCD_0->SetBinContent(32,0.0); - S3_ALPHA_QCD_0->SetBinContent(33,0.0); - S3_ALPHA_QCD_0->SetBinContent(34,0.0); - S3_ALPHA_QCD_0->SetBinContent(35,0.0); - S3_ALPHA_QCD_0->SetBinContent(36,0.0); - S3_ALPHA_QCD_0->SetBinContent(37,0.0); - S3_ALPHA_QCD_0->SetBinContent(38,0.0); - S3_ALPHA_QCD_0->SetBinContent(39,0.0); - S3_ALPHA_QCD_0->SetBinContent(40,0.0); - S3_ALPHA_QCD_0->SetBinContent(41,0.0); - S3_ALPHA_QCD_0->SetBinContent(42,0.0); - S3_ALPHA_QCD_0->SetBinContent(43,0.0); - S3_ALPHA_QCD_0->SetBinContent(44,0.0); - S3_ALPHA_QCD_0->SetBinContent(45,0.0); - S3_ALPHA_QCD_0->SetBinContent(46,0.0); - S3_ALPHA_QCD_0->SetBinContent(47,0.0); - S3_ALPHA_QCD_0->SetBinContent(48,0.0); - S3_ALPHA_QCD_0->SetBinContent(49,0.0); - S3_ALPHA_QCD_0->SetBinContent(50,0.0); - S3_ALPHA_QCD_0->SetBinContent(51,0.0); // overflow - S3_ALPHA_QCD_0->SetEntries(1000); - // Style - S3_ALPHA_QCD_0->SetLineColor(9); - S3_ALPHA_QCD_0->SetLineStyle(1); - S3_ALPHA_QCD_0->SetLineWidth(1); - S3_ALPHA_QCD_0->SetFillColor(9); - S3_ALPHA_QCD_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_6","mystack"); - stack->Add(S3_ALPHA_QCD_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#alpha_{QCD} "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_2.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_2.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_2.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_2.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_2.py deleted file mode 100644 index e943cb43..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_2.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_2(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,0.3,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.003,0.009000000000000001,0.015,0.021,0.027,0.033,0.039,0.045,0.051000000000000004,0.057,0.063,0.069,0.075,0.081,0.08700000000000001,0.093,0.099,0.105,0.111,0.117,0.123,0.129,0.135,0.14100000000000001,0.147,0.153,0.159,0.165,0.171,0.177,0.183,0.189,0.195,0.201,0.20700000000000002,0.213,0.219,0.225,0.231,0.23700000000000002,0.243,0.249,0.255,0.261,0.267,0.273,0.279,0.28500000000000003,0.291,0.297]) - - # Creating weights for histo: y3_ALPHA_QCD_0 - y3_ALPHA_QCD_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.5097784,3.738375,11.18423,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y3_ALPHA_QCD_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\alpha_{QCD}$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y3_ALPHA_QCD_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y3_ALPHA_QCD_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_2.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_2.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_2.eps') - -# Running! -if __name__ == '__main__': - selection_2() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_20.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_20.C deleted file mode 100644 index db953030..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_20.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_20() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo41","canvas_plotflow_tempo41",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S21_P_0 = new TH1F("S21_P_0","S21_P_0",50,0.0,2000.0); - // Content - S21_P_0->SetBinContent(0,0.0); // underflow - S21_P_0->SetBinContent(1,2.178144); - S21_P_0->SetBinContent(2,2.718818); - S21_P_0->SetBinContent(3,1.220379); - S21_P_0->SetBinContent(4,0.6179132); - S21_P_0->SetBinContent(5,0.4634349); - S21_P_0->SetBinContent(6,0.1544783); - S21_P_0->SetBinContent(7,0.1544783); - S21_P_0->SetBinContent(8,0.1544783); - S21_P_0->SetBinContent(9,0.04634349); - S21_P_0->SetBinContent(10,0.04634349); - S21_P_0->SetBinContent(11,0.01544783); - S21_P_0->SetBinContent(12,0.0); - S21_P_0->SetBinContent(13,0.04634349); - S21_P_0->SetBinContent(14,0.0); - S21_P_0->SetBinContent(15,0.0); - S21_P_0->SetBinContent(16,0.0); - S21_P_0->SetBinContent(17,0.0); - S21_P_0->SetBinContent(18,0.0); - S21_P_0->SetBinContent(19,0.0); - S21_P_0->SetBinContent(20,0.0); - S21_P_0->SetBinContent(21,0.0); - S21_P_0->SetBinContent(22,0.0); - S21_P_0->SetBinContent(23,0.0); - S21_P_0->SetBinContent(24,0.0); - S21_P_0->SetBinContent(25,0.0); - S21_P_0->SetBinContent(26,0.0); - S21_P_0->SetBinContent(27,0.0); - S21_P_0->SetBinContent(28,0.0); - S21_P_0->SetBinContent(29,0.0); - S21_P_0->SetBinContent(30,0.0); - S21_P_0->SetBinContent(31,0.0); - S21_P_0->SetBinContent(32,0.0); - S21_P_0->SetBinContent(33,0.0); - S21_P_0->SetBinContent(34,0.0); - S21_P_0->SetBinContent(35,0.0); - S21_P_0->SetBinContent(36,0.0); - S21_P_0->SetBinContent(37,0.0); - S21_P_0->SetBinContent(38,0.0); - S21_P_0->SetBinContent(39,0.0); - S21_P_0->SetBinContent(40,0.0); - S21_P_0->SetBinContent(41,0.0); - S21_P_0->SetBinContent(42,0.0); - S21_P_0->SetBinContent(43,0.0); - S21_P_0->SetBinContent(44,0.0); - S21_P_0->SetBinContent(45,0.0); - S21_P_0->SetBinContent(46,0.0); - S21_P_0->SetBinContent(47,0.0); - S21_P_0->SetBinContent(48,0.0); - S21_P_0->SetBinContent(49,0.0); - S21_P_0->SetBinContent(50,0.0); - S21_P_0->SetBinContent(51,0.0); // overflow - S21_P_0->SetEntries(506); - // Style - S21_P_0->SetLineColor(9); - S21_P_0->SetLineStyle(1); - S21_P_0->SetLineWidth(1); - S21_P_0->SetFillColor(9); - S21_P_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_42","mystack"); - stack->Add(S21_P_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p [ e ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_20.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_20.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_20.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_20.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_20.py deleted file mode 100644 index 94e194dc..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_20.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_20(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y21_P_0 - y21_P_0_weights = numpy.array([2.178144,2.718818,1.220379,0.6179132,0.4634349,0.1544783,0.1544783,0.1544783,0.04634349,0.04634349,0.01544783,0.0,0.04634349,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y21_P_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p$ $[ e ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y21_P_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y21_P_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_20.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_20.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_20.eps') - -# Running! -if __name__ == '__main__': - selection_20() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_21.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_21.C deleted file mode 100644 index 5be07a53..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_21.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_21() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo43","canvas_plotflow_tempo43",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S22_PX_0 = new TH1F("S22_PX_0","S22_PX_0",50,-1000.0,1000.0); - // Content - S22_PX_0->SetBinContent(0,0.0); // underflow - S22_PX_0->SetBinContent(1,0.0); - S22_PX_0->SetBinContent(2,0.0); - S22_PX_0->SetBinContent(3,0.0); - S22_PX_0->SetBinContent(4,0.0); - S22_PX_0->SetBinContent(5,0.0); - S22_PX_0->SetBinContent(6,0.0); - S22_PX_0->SetBinContent(7,0.0); - S22_PX_0->SetBinContent(8,0.0); - S22_PX_0->SetBinContent(9,0.0); - S22_PX_0->SetBinContent(10,0.0); - S22_PX_0->SetBinContent(11,0.0); - S22_PX_0->SetBinContent(12,0.0); - S22_PX_0->SetBinContent(13,0.0); - S22_PX_0->SetBinContent(14,0.0); - S22_PX_0->SetBinContent(15,0.0); - S22_PX_0->SetBinContent(16,0.0); - S22_PX_0->SetBinContent(17,0.0); - S22_PX_0->SetBinContent(18,0.01544783); - S22_PX_0->SetBinContent(19,0.0); - S22_PX_0->SetBinContent(20,0.0); - S22_PX_0->SetBinContent(21,0.0); - S22_PX_0->SetBinContent(22,0.01544783); - S22_PX_0->SetBinContent(23,0.2008218); - S22_PX_0->SetBinContent(24,0.6179132); - S22_PX_0->SetBinContent(25,2.996879); - S22_PX_0->SetBinContent(26,2.888744); - S22_PX_0->SetBinContent(27,0.8341828); - S22_PX_0->SetBinContent(28,0.1235826); - S22_PX_0->SetBinContent(29,0.09268698); - S22_PX_0->SetBinContent(30,0.03089566); - S22_PX_0->SetBinContent(31,0.0); - S22_PX_0->SetBinContent(32,0.0); - S22_PX_0->SetBinContent(33,0.0); - S22_PX_0->SetBinContent(34,0.0); - S22_PX_0->SetBinContent(35,0.0); - S22_PX_0->SetBinContent(36,0.0); - S22_PX_0->SetBinContent(37,0.0); - S22_PX_0->SetBinContent(38,0.0); - S22_PX_0->SetBinContent(39,0.0); - S22_PX_0->SetBinContent(40,0.0); - S22_PX_0->SetBinContent(41,0.0); - S22_PX_0->SetBinContent(42,0.0); - S22_PX_0->SetBinContent(43,0.0); - S22_PX_0->SetBinContent(44,0.0); - S22_PX_0->SetBinContent(45,0.0); - S22_PX_0->SetBinContent(46,0.0); - S22_PX_0->SetBinContent(47,0.0); - S22_PX_0->SetBinContent(48,0.0); - S22_PX_0->SetBinContent(49,0.0); - S22_PX_0->SetBinContent(50,0.0); - S22_PX_0->SetBinContent(51,0.0); // overflow - S22_PX_0->SetEntries(506); - // Style - S22_PX_0->SetLineColor(9); - S22_PX_0->SetLineStyle(1); - S22_PX_0->SetLineWidth(1); - S22_PX_0->SetFillColor(9); - S22_PX_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_44","mystack"); - stack->Add(S22_PX_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{x} [ e ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_21.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_21.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_21.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_21.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_21.py deleted file mode 100644 index dc3d7e60..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_21.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_21(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) - - # Creating weights for histo: y22_PX_0 - y22_PX_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.01544783,0.2008218,0.6179132,2.996879,2.888744,0.8341828,0.1235826,0.09268698,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y22_PX_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{x}$ $[ e ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y22_PX_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y22_PX_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_21.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_21.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_21.eps') - -# Running! -if __name__ == '__main__': - selection_21() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_22.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_22.C deleted file mode 100644 index f1fb8ff8..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_22.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_22() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo45","canvas_plotflow_tempo45",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S23_PY_0 = new TH1F("S23_PY_0","S23_PY_0",50,-1000.0,1000.0); - // Content - S23_PY_0->SetBinContent(0,0.0); // underflow - S23_PY_0->SetBinContent(1,0.0); - S23_PY_0->SetBinContent(2,0.0); - S23_PY_0->SetBinContent(3,0.0); - S23_PY_0->SetBinContent(4,0.0); - S23_PY_0->SetBinContent(5,0.0); - S23_PY_0->SetBinContent(6,0.0); - S23_PY_0->SetBinContent(7,0.0); - S23_PY_0->SetBinContent(8,0.0); - S23_PY_0->SetBinContent(9,0.0); - S23_PY_0->SetBinContent(10,0.0); - S23_PY_0->SetBinContent(11,0.0); - S23_PY_0->SetBinContent(12,0.0); - S23_PY_0->SetBinContent(13,0.0); - S23_PY_0->SetBinContent(14,0.0); - S23_PY_0->SetBinContent(15,0.0); - S23_PY_0->SetBinContent(16,0.0); - S23_PY_0->SetBinContent(17,0.0); - S23_PY_0->SetBinContent(18,0.0); - S23_PY_0->SetBinContent(19,0.0); - S23_PY_0->SetBinContent(20,0.01544783); - S23_PY_0->SetBinContent(21,0.04634349); - S23_PY_0->SetBinContent(22,0.04634349); - S23_PY_0->SetBinContent(23,0.1235826); - S23_PY_0->SetBinContent(24,0.9423176); - S23_PY_0->SetBinContent(25,2.657027); - S23_PY_0->SetBinContent(26,2.796057); - S23_PY_0->SetBinContent(27,0.911422); - S23_PY_0->SetBinContent(28,0.2008218); - S23_PY_0->SetBinContent(29,0.06179132); - S23_PY_0->SetBinContent(30,0.0); - S23_PY_0->SetBinContent(31,0.0); - S23_PY_0->SetBinContent(32,0.01544783); - S23_PY_0->SetBinContent(33,0.0); - S23_PY_0->SetBinContent(34,0.0); - S23_PY_0->SetBinContent(35,0.0); - S23_PY_0->SetBinContent(36,0.0); - S23_PY_0->SetBinContent(37,0.0); - S23_PY_0->SetBinContent(38,0.0); - S23_PY_0->SetBinContent(39,0.0); - S23_PY_0->SetBinContent(40,0.0); - S23_PY_0->SetBinContent(41,0.0); - S23_PY_0->SetBinContent(42,0.0); - S23_PY_0->SetBinContent(43,0.0); - S23_PY_0->SetBinContent(44,0.0); - S23_PY_0->SetBinContent(45,0.0); - S23_PY_0->SetBinContent(46,0.0); - S23_PY_0->SetBinContent(47,0.0); - S23_PY_0->SetBinContent(48,0.0); - S23_PY_0->SetBinContent(49,0.0); - S23_PY_0->SetBinContent(50,0.0); - S23_PY_0->SetBinContent(51,0.0); // overflow - S23_PY_0->SetEntries(506); - // Style - S23_PY_0->SetLineColor(9); - S23_PY_0->SetLineStyle(1); - S23_PY_0->SetLineWidth(1); - S23_PY_0->SetFillColor(9); - S23_PY_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_46","mystack"); - stack->Add(S23_PY_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{y} [ e ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_22.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_22.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_22.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_22.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_22.py deleted file mode 100644 index 8782d87c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_22.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_22(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) - - # Creating weights for histo: y23_PY_0 - y23_PY_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.04634349,0.04634349,0.1235826,0.9423176,2.657027,2.796057,0.911422,0.2008218,0.06179132,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y23_PY_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{y}$ $[ e ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y23_PY_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y23_PY_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_22.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_22.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_22.eps') - -# Running! -if __name__ == '__main__': - selection_22() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_23.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_23.C deleted file mode 100644 index 73806244..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_23.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_23() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo47","canvas_plotflow_tempo47",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S24_PZ_0 = new TH1F("S24_PZ_0","S24_PZ_0",50,-2000.0,2000.0); - // Content - S24_PZ_0->SetBinContent(0,0.0); // underflow - S24_PZ_0->SetBinContent(1,0.0); - S24_PZ_0->SetBinContent(2,0.0); - S24_PZ_0->SetBinContent(3,0.0); - S24_PZ_0->SetBinContent(4,0.0); - S24_PZ_0->SetBinContent(5,0.0); - S24_PZ_0->SetBinContent(6,0.0); - S24_PZ_0->SetBinContent(7,0.0); - S24_PZ_0->SetBinContent(8,0.0); - S24_PZ_0->SetBinContent(9,0.0); - S24_PZ_0->SetBinContent(10,0.0); - S24_PZ_0->SetBinContent(11,0.0); - S24_PZ_0->SetBinContent(12,0.0); - S24_PZ_0->SetBinContent(13,0.0); - S24_PZ_0->SetBinContent(14,0.0); - S24_PZ_0->SetBinContent(15,0.0); - S24_PZ_0->SetBinContent(16,0.0); - S24_PZ_0->SetBinContent(17,0.0); - S24_PZ_0->SetBinContent(18,0.0); - S24_PZ_0->SetBinContent(19,0.01544783); - S24_PZ_0->SetBinContent(20,0.0); - S24_PZ_0->SetBinContent(21,0.06179132); - S24_PZ_0->SetBinContent(22,0.09268698); - S24_PZ_0->SetBinContent(23,0.1699261); - S24_PZ_0->SetBinContent(24,0.4634349); - S24_PZ_0->SetBinContent(25,3.027775); - S24_PZ_0->SetBinContent(26,2.734266); - S24_PZ_0->SetBinContent(27,0.7723915); - S24_PZ_0->SetBinContent(28,0.2780609); - S24_PZ_0->SetBinContent(29,0.1390305); - S24_PZ_0->SetBinContent(30,0.04634349); - S24_PZ_0->SetBinContent(31,0.0); - S24_PZ_0->SetBinContent(32,0.01544783); - S24_PZ_0->SetBinContent(33,0.0); - S24_PZ_0->SetBinContent(34,0.0); - S24_PZ_0->SetBinContent(35,0.0); - S24_PZ_0->SetBinContent(36,0.0); - S24_PZ_0->SetBinContent(37,0.0); - S24_PZ_0->SetBinContent(38,0.0); - S24_PZ_0->SetBinContent(39,0.0); - S24_PZ_0->SetBinContent(40,0.0); - S24_PZ_0->SetBinContent(41,0.0); - S24_PZ_0->SetBinContent(42,0.0); - S24_PZ_0->SetBinContent(43,0.0); - S24_PZ_0->SetBinContent(44,0.0); - S24_PZ_0->SetBinContent(45,0.0); - S24_PZ_0->SetBinContent(46,0.0); - S24_PZ_0->SetBinContent(47,0.0); - S24_PZ_0->SetBinContent(48,0.0); - S24_PZ_0->SetBinContent(49,0.0); - S24_PZ_0->SetBinContent(50,0.0); - S24_PZ_0->SetBinContent(51,0.0); // overflow - S24_PZ_0->SetEntries(506); - // Style - S24_PZ_0->SetLineColor(9); - S24_PZ_0->SetLineStyle(1); - S24_PZ_0->SetLineWidth(1); - S24_PZ_0->SetFillColor(9); - S24_PZ_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_48","mystack"); - stack->Add(S24_PZ_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{z} [ e ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_23.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_23.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_23.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_23.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_23.py deleted file mode 100644 index b51b6d6d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_23.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_23(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-2000.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-1960.0,-1880.0,-1800.0,-1720.0,-1640.0,-1560.0,-1480.0,-1400.0,-1320.0,-1240.0,-1160.0,-1080.0,-1000.0,-920.0,-840.0,-760.0,-680.0,-600.0,-520.0,-440.0,-360.0,-280.0,-200.0,-120.0,-40.0,40.0,120.0,200.0,280.0,360.0,440.0,520.0,600.0,680.0,760.0,840.0,920.0,1000.0,1080.0,1160.0,1240.0,1320.0,1400.0,1480.0,1560.0,1640.0,1720.0,1800.0,1880.0,1960.0]) - - # Creating weights for histo: y24_PZ_0 - y24_PZ_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.06179132,0.09268698,0.1699261,0.4634349,3.027775,2.734266,0.7723915,0.2780609,0.1390305,0.04634349,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y24_PZ_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{z}$ $[ e ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y24_PZ_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y24_PZ_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_23.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_23.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_23.eps') - -# Running! -if __name__ == '__main__': - selection_23() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_24.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_24.C deleted file mode 100644 index 90f8fcec..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_24.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_24() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo49","canvas_plotflow_tempo49",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S25_R_0 = new TH1F("S25_R_0","S25_R_0",50,0.0,10.0); - // Content - S25_R_0->SetBinContent(0,0.0); // underflow - S25_R_0->SetBinContent(1,0.04634349); - S25_R_0->SetBinContent(2,0.1699261); - S25_R_0->SetBinContent(3,0.2935088); - S25_R_0->SetBinContent(4,0.3861957); - S25_R_0->SetBinContent(5,0.3244044); - S25_R_0->SetBinContent(6,0.4170914); - S25_R_0->SetBinContent(7,0.540674); - S25_R_0->SetBinContent(8,0.6642567); - S25_R_0->SetBinContent(9,0.6179132); - S25_R_0->SetBinContent(10,0.5097784); - S25_R_0->SetBinContent(11,0.5870175); - S25_R_0->SetBinContent(12,0.6951523); - S25_R_0->SetBinContent(13,0.5870175); - S25_R_0->SetBinContent(14,0.7106002); - S25_R_0->SetBinContent(15,0.4325392); - S25_R_0->SetBinContent(16,0.4788827); - S25_R_0->SetBinContent(17,0.2317174); - S25_R_0->SetBinContent(18,0.1081348); - S25_R_0->SetBinContent(19,0.01544783); - S25_R_0->SetBinContent(20,0.0); - S25_R_0->SetBinContent(21,0.0); - S25_R_0->SetBinContent(22,0.0); - S25_R_0->SetBinContent(23,0.0); - S25_R_0->SetBinContent(24,0.0); - S25_R_0->SetBinContent(25,0.0); - S25_R_0->SetBinContent(26,0.0); - S25_R_0->SetBinContent(27,0.0); - S25_R_0->SetBinContent(28,0.0); - S25_R_0->SetBinContent(29,0.0); - S25_R_0->SetBinContent(30,0.0); - S25_R_0->SetBinContent(31,0.0); - S25_R_0->SetBinContent(32,0.0); - S25_R_0->SetBinContent(33,0.0); - S25_R_0->SetBinContent(34,0.0); - S25_R_0->SetBinContent(35,0.0); - S25_R_0->SetBinContent(36,0.0); - S25_R_0->SetBinContent(37,0.0); - S25_R_0->SetBinContent(38,0.0); - S25_R_0->SetBinContent(39,0.0); - S25_R_0->SetBinContent(40,0.0); - S25_R_0->SetBinContent(41,0.0); - S25_R_0->SetBinContent(42,0.0); - S25_R_0->SetBinContent(43,0.0); - S25_R_0->SetBinContent(44,0.0); - S25_R_0->SetBinContent(45,0.0); - S25_R_0->SetBinContent(46,0.0); - S25_R_0->SetBinContent(47,0.0); - S25_R_0->SetBinContent(48,0.0); - S25_R_0->SetBinContent(49,0.0); - S25_R_0->SetBinContent(50,0.0); - S25_R_0->SetBinContent(51,0.0); // overflow - S25_R_0->SetEntries(506); - // Style - S25_R_0->SetLineColor(9); - S25_R_0->SetLineStyle(1); - S25_R_0->SetLineWidth(1); - S25_R_0->SetFillColor(9); - S25_R_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_50","mystack"); - stack->Add(S25_R_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("R [ e ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_24.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_24.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_24.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_24.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_24.py deleted file mode 100644 index ce1211f5..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_24.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_24(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y25_R_0 - y25_R_0_weights = numpy.array([0.04634349,0.1699261,0.2935088,0.3861957,0.3244044,0.4170914,0.540674,0.6642567,0.6179132,0.5097784,0.5870175,0.6951523,0.5870175,0.7106002,0.4325392,0.4788827,0.2317174,0.1081348,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y25_R_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$R$ $[ e ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y25_R_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y25_R_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_24.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_24.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_24.eps') - -# Running! -if __name__ == '__main__': - selection_24() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_25.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_25.C deleted file mode 100644 index b03e6c5b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_25.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_25() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo51","canvas_plotflow_tempo51",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S26_Y_0 = new TH1F("S26_Y_0","S26_Y_0",50,-8.0,8.0); - // Content - S26_Y_0->SetBinContent(0,0.0); // underflow - S26_Y_0->SetBinContent(1,0.0); - S26_Y_0->SetBinContent(2,0.0); - S26_Y_0->SetBinContent(3,0.0); - S26_Y_0->SetBinContent(4,0.0); - S26_Y_0->SetBinContent(5,0.0); - S26_Y_0->SetBinContent(6,0.0); - S26_Y_0->SetBinContent(7,0.0); - S26_Y_0->SetBinContent(8,0.0); - S26_Y_0->SetBinContent(9,0.0); - S26_Y_0->SetBinContent(10,0.0); - S26_Y_0->SetBinContent(11,0.0); - S26_Y_0->SetBinContent(12,0.0); - S26_Y_0->SetBinContent(13,0.0); - S26_Y_0->SetBinContent(14,0.0); - S26_Y_0->SetBinContent(15,0.0); - S26_Y_0->SetBinContent(16,0.0); - S26_Y_0->SetBinContent(17,0.0); - S26_Y_0->SetBinContent(18,0.1544783); - S26_Y_0->SetBinContent(19,0.2317174); - S26_Y_0->SetBinContent(20,0.3861957); - S26_Y_0->SetBinContent(21,0.2626131); - S26_Y_0->SetBinContent(22,0.5561219); - S26_Y_0->SetBinContent(23,0.5097784); - S26_Y_0->SetBinContent(24,0.8650785); - S26_Y_0->SetBinContent(25,0.8650785); - S26_Y_0->SetBinContent(26,0.818735); - S26_Y_0->SetBinContent(27,0.5870175); - S26_Y_0->SetBinContent(28,0.633361); - S26_Y_0->SetBinContent(29,0.6642567); - S26_Y_0->SetBinContent(30,0.5870175); - S26_Y_0->SetBinContent(31,0.3398523); - S26_Y_0->SetBinContent(32,0.2162696); - S26_Y_0->SetBinContent(33,0.1390305); - S26_Y_0->SetBinContent(34,0.0); - S26_Y_0->SetBinContent(35,0.0); - S26_Y_0->SetBinContent(36,0.0); - S26_Y_0->SetBinContent(37,0.0); - S26_Y_0->SetBinContent(38,0.0); - S26_Y_0->SetBinContent(39,0.0); - S26_Y_0->SetBinContent(40,0.0); - S26_Y_0->SetBinContent(41,0.0); - S26_Y_0->SetBinContent(42,0.0); - S26_Y_0->SetBinContent(43,0.0); - S26_Y_0->SetBinContent(44,0.0); - S26_Y_0->SetBinContent(45,0.0); - S26_Y_0->SetBinContent(46,0.0); - S26_Y_0->SetBinContent(47,0.0); - S26_Y_0->SetBinContent(48,0.0); - S26_Y_0->SetBinContent(49,0.0); - S26_Y_0->SetBinContent(50,0.0); - S26_Y_0->SetBinContent(51,0.0); // overflow - S26_Y_0->SetEntries(506); - // Style - S26_Y_0->SetLineColor(9); - S26_Y_0->SetLineStyle(1); - S26_Y_0->SetLineWidth(1); - S26_Y_0->SetFillColor(9); - S26_Y_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_52","mystack"); - stack->Add(S26_Y_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("y [ e ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_25.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_25.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_25.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_25.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_25.py deleted file mode 100644 index f6261786..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_25.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_25(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y26_Y_0 - y26_Y_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1544783,0.2317174,0.3861957,0.2626131,0.5561219,0.5097784,0.8650785,0.8650785,0.818735,0.5870175,0.633361,0.6642567,0.5870175,0.3398523,0.2162696,0.1390305,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y26_Y_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$y$ $[ e ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y26_Y_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y26_Y_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_25.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_25.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_25.eps') - -# Running! -if __name__ == '__main__': - selection_25() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_26.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_26.C deleted file mode 100644 index 0291de9b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_26.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_26() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo53","canvas_plotflow_tempo53",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S27_BETA_0 = new TH1F("S27_BETA_0","S27_BETA_0",50,0.0,1.2); - // Content - S27_BETA_0->SetBinContent(0,0.0); // underflow - S27_BETA_0->SetBinContent(1,0.0); - S27_BETA_0->SetBinContent(2,0.0); - S27_BETA_0->SetBinContent(3,0.0); - S27_BETA_0->SetBinContent(4,0.0); - S27_BETA_0->SetBinContent(5,0.0); - S27_BETA_0->SetBinContent(6,0.0); - S27_BETA_0->SetBinContent(7,0.0); - S27_BETA_0->SetBinContent(8,0.0); - S27_BETA_0->SetBinContent(9,0.0); - S27_BETA_0->SetBinContent(10,0.0); - S27_BETA_0->SetBinContent(11,0.0); - S27_BETA_0->SetBinContent(12,0.0); - S27_BETA_0->SetBinContent(13,0.0); - S27_BETA_0->SetBinContent(14,0.0); - S27_BETA_0->SetBinContent(15,0.0); - S27_BETA_0->SetBinContent(16,0.0); - S27_BETA_0->SetBinContent(17,0.0); - S27_BETA_0->SetBinContent(18,0.0); - S27_BETA_0->SetBinContent(19,0.0); - S27_BETA_0->SetBinContent(20,0.0); - S27_BETA_0->SetBinContent(21,0.0); - S27_BETA_0->SetBinContent(22,0.0); - S27_BETA_0->SetBinContent(23,0.0); - S27_BETA_0->SetBinContent(24,0.0); - S27_BETA_0->SetBinContent(25,0.0); - S27_BETA_0->SetBinContent(26,0.0); - S27_BETA_0->SetBinContent(27,0.0); - S27_BETA_0->SetBinContent(28,0.0); - S27_BETA_0->SetBinContent(29,0.0); - S27_BETA_0->SetBinContent(30,0.0); - S27_BETA_0->SetBinContent(31,0.0); - S27_BETA_0->SetBinContent(32,0.0); - S27_BETA_0->SetBinContent(33,0.0); - S27_BETA_0->SetBinContent(34,0.0); - S27_BETA_0->SetBinContent(35,0.0); - S27_BETA_0->SetBinContent(36,0.0); - S27_BETA_0->SetBinContent(37,0.0); - S27_BETA_0->SetBinContent(38,0.0); - S27_BETA_0->SetBinContent(39,0.0); - S27_BETA_0->SetBinContent(40,0.0); - S27_BETA_0->SetBinContent(41,0.0); - S27_BETA_0->SetBinContent(42,7.816602); - S27_BETA_0->SetBinContent(43,0.0); - S27_BETA_0->SetBinContent(44,0.0); - S27_BETA_0->SetBinContent(45,0.0); - S27_BETA_0->SetBinContent(46,0.0); - S27_BETA_0->SetBinContent(47,0.0); - S27_BETA_0->SetBinContent(48,0.0); - S27_BETA_0->SetBinContent(49,0.0); - S27_BETA_0->SetBinContent(50,0.0); - S27_BETA_0->SetBinContent(51,0.0); // overflow - S27_BETA_0->SetEntries(506); - // Style - S27_BETA_0->SetLineColor(9); - S27_BETA_0->SetLineStyle(1); - S27_BETA_0->SetLineWidth(1); - S27_BETA_0->SetFillColor(9); - S27_BETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_54","mystack"); - stack->Add(S27_BETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#beta [ e ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_26.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_26.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_26.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_26.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_26.py deleted file mode 100644 index 750fef7d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_26.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_26(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1.2,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.012,0.036000000000000004,0.06,0.084,0.108,0.132,0.156,0.18,0.20400000000000001,0.228,0.252,0.276,0.3,0.324,0.34800000000000003,0.372,0.396,0.42,0.444,0.468,0.492,0.516,0.54,0.5640000000000001,0.588,0.612,0.636,0.66,0.684,0.708,0.732,0.756,0.78,0.804,0.8280000000000001,0.852,0.876,0.9,0.924,0.9480000000000001,0.972,0.996,1.02,1.044,1.068,1.092,1.116,1.1400000000000001,1.164,1.188]) - - # Creating weights for histo: y27_BETA_0 - y27_BETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.816602,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y27_BETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\beta$ $[ e ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y27_BETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y27_BETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_26.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_26.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_26.eps') - -# Running! -if __name__ == '__main__': - selection_26() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_27.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_27.C deleted file mode 100644 index 8083f7ee..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_27.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_27() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo55","canvas_plotflow_tempo55",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S28_GAMMA_0 = new TH1F("S28_GAMMA_0","S28_GAMMA_0",50,1.0,100.0); - // Content - S28_GAMMA_0->SetBinContent(0,0.0); // underflow - S28_GAMMA_0->SetBinContent(1,4.031884); - S28_GAMMA_0->SetBinContent(2,0.0); - S28_GAMMA_0->SetBinContent(3,0.0); - S28_GAMMA_0->SetBinContent(4,0.0); - S28_GAMMA_0->SetBinContent(5,0.0); - S28_GAMMA_0->SetBinContent(6,0.0); - S28_GAMMA_0->SetBinContent(7,0.0); - S28_GAMMA_0->SetBinContent(8,0.0); - S28_GAMMA_0->SetBinContent(9,0.0); - S28_GAMMA_0->SetBinContent(10,0.0); - S28_GAMMA_0->SetBinContent(11,0.0); - S28_GAMMA_0->SetBinContent(12,0.0); - S28_GAMMA_0->SetBinContent(13,0.0); - S28_GAMMA_0->SetBinContent(14,0.0); - S28_GAMMA_0->SetBinContent(15,0.0); - S28_GAMMA_0->SetBinContent(16,0.0); - S28_GAMMA_0->SetBinContent(17,0.0); - S28_GAMMA_0->SetBinContent(18,0.0); - S28_GAMMA_0->SetBinContent(19,0.0); - S28_GAMMA_0->SetBinContent(20,0.0); - S28_GAMMA_0->SetBinContent(21,0.0); - S28_GAMMA_0->SetBinContent(22,0.0); - S28_GAMMA_0->SetBinContent(23,0.0); - S28_GAMMA_0->SetBinContent(24,0.0); - S28_GAMMA_0->SetBinContent(25,0.0); - S28_GAMMA_0->SetBinContent(26,0.0); - S28_GAMMA_0->SetBinContent(27,0.0); - S28_GAMMA_0->SetBinContent(28,0.0); - S28_GAMMA_0->SetBinContent(29,0.0); - S28_GAMMA_0->SetBinContent(30,0.0); - S28_GAMMA_0->SetBinContent(31,0.0); - S28_GAMMA_0->SetBinContent(32,0.0); - S28_GAMMA_0->SetBinContent(33,0.0); - S28_GAMMA_0->SetBinContent(34,0.0); - S28_GAMMA_0->SetBinContent(35,0.0); - S28_GAMMA_0->SetBinContent(36,0.0); - S28_GAMMA_0->SetBinContent(37,0.0); - S28_GAMMA_0->SetBinContent(38,0.0); - S28_GAMMA_0->SetBinContent(39,0.0); - S28_GAMMA_0->SetBinContent(40,0.0); - S28_GAMMA_0->SetBinContent(41,0.0); - S28_GAMMA_0->SetBinContent(42,0.0); - S28_GAMMA_0->SetBinContent(43,0.0); - S28_GAMMA_0->SetBinContent(44,0.0); - S28_GAMMA_0->SetBinContent(45,0.0); - S28_GAMMA_0->SetBinContent(46,0.0); - S28_GAMMA_0->SetBinContent(47,0.0); - S28_GAMMA_0->SetBinContent(48,0.0); - S28_GAMMA_0->SetBinContent(49,0.0); - S28_GAMMA_0->SetBinContent(50,0.0); - S28_GAMMA_0->SetBinContent(51,3.784718); // overflow - S28_GAMMA_0->SetEntries(506); - // Style - S28_GAMMA_0->SetLineColor(9); - S28_GAMMA_0->SetLineStyle(1); - S28_GAMMA_0->SetLineWidth(1); - S28_GAMMA_0->SetFillColor(9); - S28_GAMMA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_56","mystack"); - stack->Add(S28_GAMMA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of e (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#gamma [ e ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_27.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_27.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_27.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_27.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_27.py deleted file mode 100644 index 3f523e25..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_27.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_27(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(1.0,100.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([1.99,3.9699999999999998,5.95,7.93,9.91,11.89,13.87,15.85,17.83,19.81,21.79,23.77,25.75,27.73,29.71,31.69,33.67,35.65,37.63,39.61,41.589999999999996,43.57,45.55,47.53,49.51,51.49,53.47,55.45,57.43,59.41,61.39,63.37,65.35,67.33,69.31,71.29,73.27,75.25,77.23,79.21,81.19,83.17,85.15,87.13,89.11,91.09,93.07,95.05,97.03,99.01]) - - # Creating weights for histo: y28_GAMMA_0 - y28_GAMMA_0_weights = numpy.array([4.031884,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y28_GAMMA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\gamma$ $[ e ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ e$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y28_GAMMA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y28_GAMMA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_27.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_27.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_27.eps') - -# Running! -if __name__ == '__main__': - selection_27() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_28.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_28.C deleted file mode 100644 index c0602287..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_28.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_28() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo57","canvas_plotflow_tempo57",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S29_PT_0 = new TH1F("S29_PT_0","S29_PT_0",50,0.0,1000.0); - // Content - S29_PT_0->SetBinContent(0,0.0); // underflow - S29_PT_0->SetBinContent(1,1.158587); - S29_PT_0->SetBinContent(2,2.657027); - S29_PT_0->SetBinContent(3,1.869187); - S29_PT_0->SetBinContent(4,1.004109); - S29_PT_0->SetBinContent(5,0.5252262); - S29_PT_0->SetBinContent(6,0.2471653); - S29_PT_0->SetBinContent(7,0.1235826); - S29_PT_0->SetBinContent(8,0.06179132); - S29_PT_0->SetBinContent(9,0.04634349); - S29_PT_0->SetBinContent(10,0.07723915); - S29_PT_0->SetBinContent(11,0.0); - S29_PT_0->SetBinContent(12,0.0); - S29_PT_0->SetBinContent(13,0.0); - S29_PT_0->SetBinContent(14,0.01544783); - S29_PT_0->SetBinContent(15,0.01544783); - S29_PT_0->SetBinContent(16,0.0); - S29_PT_0->SetBinContent(17,0.01544783); - S29_PT_0->SetBinContent(18,0.0); - S29_PT_0->SetBinContent(19,0.0); - S29_PT_0->SetBinContent(20,0.0); - S29_PT_0->SetBinContent(21,0.0); - S29_PT_0->SetBinContent(22,0.0); - S29_PT_0->SetBinContent(23,0.0); - S29_PT_0->SetBinContent(24,0.0); - S29_PT_0->SetBinContent(25,0.0); - S29_PT_0->SetBinContent(26,0.0); - S29_PT_0->SetBinContent(27,0.0); - S29_PT_0->SetBinContent(28,0.0); - S29_PT_0->SetBinContent(29,0.0); - S29_PT_0->SetBinContent(30,0.0); - S29_PT_0->SetBinContent(31,0.0); - S29_PT_0->SetBinContent(32,0.0); - S29_PT_0->SetBinContent(33,0.0); - S29_PT_0->SetBinContent(34,0.0); - S29_PT_0->SetBinContent(35,0.0); - S29_PT_0->SetBinContent(36,0.0); - S29_PT_0->SetBinContent(37,0.0); - S29_PT_0->SetBinContent(38,0.0); - S29_PT_0->SetBinContent(39,0.0); - S29_PT_0->SetBinContent(40,0.0); - S29_PT_0->SetBinContent(41,0.0); - S29_PT_0->SetBinContent(42,0.0); - S29_PT_0->SetBinContent(43,0.0); - S29_PT_0->SetBinContent(44,0.0); - S29_PT_0->SetBinContent(45,0.0); - S29_PT_0->SetBinContent(46,0.0); - S29_PT_0->SetBinContent(47,0.0); - S29_PT_0->SetBinContent(48,0.0); - S29_PT_0->SetBinContent(49,0.0); - S29_PT_0->SetBinContent(50,0.0); - S29_PT_0->SetBinContent(51,0.0); // overflow - S29_PT_0->SetEntries(506); - // Style - S29_PT_0->SetLineColor(9); - S29_PT_0->SetLineStyle(1); - S29_PT_0->SetLineWidth(1); - S29_PT_0->SetFillColor(9); - S29_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_58","mystack"); - stack->Add(S29_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ e_{1} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_28.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_28.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_28.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_28.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_28.py deleted file mode 100644 index 4ab9f78e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_28.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_28(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y29_PT_0 - y29_PT_0_weights = numpy.array([1.158587,2.657027,1.869187,1.004109,0.5252262,0.2471653,0.1235826,0.06179132,0.04634349,0.07723915,0.0,0.0,0.0,0.01544783,0.01544783,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y29_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ e_{1} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y29_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y29_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_28.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_28.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_28.eps') - -# Running! -if __name__ == '__main__': - selection_28() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_29.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_29.C deleted file mode 100644 index 8de3da6d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_29.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_29() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo59","canvas_plotflow_tempo59",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S30_ETA_0 = new TH1F("S30_ETA_0","S30_ETA_0",50,-8.0,8.0); - // Content - S30_ETA_0->SetBinContent(0,0.0); // underflow - S30_ETA_0->SetBinContent(1,0.0); - S30_ETA_0->SetBinContent(2,0.0); - S30_ETA_0->SetBinContent(3,0.0); - S30_ETA_0->SetBinContent(4,0.0); - S30_ETA_0->SetBinContent(5,0.0); - S30_ETA_0->SetBinContent(6,0.0); - S30_ETA_0->SetBinContent(7,0.0); - S30_ETA_0->SetBinContent(8,0.0); - S30_ETA_0->SetBinContent(9,0.0); - S30_ETA_0->SetBinContent(10,0.0); - S30_ETA_0->SetBinContent(11,0.0); - S30_ETA_0->SetBinContent(12,0.0); - S30_ETA_0->SetBinContent(13,0.0); - S30_ETA_0->SetBinContent(14,0.0); - S30_ETA_0->SetBinContent(15,0.0); - S30_ETA_0->SetBinContent(16,0.0); - S30_ETA_0->SetBinContent(17,0.0); - S30_ETA_0->SetBinContent(18,0.1544783); - S30_ETA_0->SetBinContent(19,0.2317174); - S30_ETA_0->SetBinContent(20,0.3861957); - S30_ETA_0->SetBinContent(21,0.2626131); - S30_ETA_0->SetBinContent(22,0.5561219); - S30_ETA_0->SetBinContent(23,0.5097784); - S30_ETA_0->SetBinContent(24,0.8650785); - S30_ETA_0->SetBinContent(25,0.8650785); - S30_ETA_0->SetBinContent(26,0.818735); - S30_ETA_0->SetBinContent(27,0.5870175); - S30_ETA_0->SetBinContent(28,0.633361); - S30_ETA_0->SetBinContent(29,0.6642567); - S30_ETA_0->SetBinContent(30,0.5870175); - S30_ETA_0->SetBinContent(31,0.3398523); - S30_ETA_0->SetBinContent(32,0.2162696); - S30_ETA_0->SetBinContent(33,0.1390305); - S30_ETA_0->SetBinContent(34,0.0); - S30_ETA_0->SetBinContent(35,0.0); - S30_ETA_0->SetBinContent(36,0.0); - S30_ETA_0->SetBinContent(37,0.0); - S30_ETA_0->SetBinContent(38,0.0); - S30_ETA_0->SetBinContent(39,0.0); - S30_ETA_0->SetBinContent(40,0.0); - S30_ETA_0->SetBinContent(41,0.0); - S30_ETA_0->SetBinContent(42,0.0); - S30_ETA_0->SetBinContent(43,0.0); - S30_ETA_0->SetBinContent(44,0.0); - S30_ETA_0->SetBinContent(45,0.0); - S30_ETA_0->SetBinContent(46,0.0); - S30_ETA_0->SetBinContent(47,0.0); - S30_ETA_0->SetBinContent(48,0.0); - S30_ETA_0->SetBinContent(49,0.0); - S30_ETA_0->SetBinContent(50,0.0); - S30_ETA_0->SetBinContent(51,0.0); // overflow - S30_ETA_0->SetEntries(506); - // Style - S30_ETA_0->SetLineColor(9); - S30_ETA_0->SetLineStyle(1); - S30_ETA_0->SetLineWidth(1); - S30_ETA_0->SetFillColor(9); - S30_ETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_60","mystack"); - stack->Add(S30_ETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#eta [ e_{1} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_29.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_29.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_29.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_29.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_29.py deleted file mode 100644 index 7e35f552..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_29.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_29(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y30_ETA_0 - y30_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1544783,0.2317174,0.3861957,0.2626131,0.5561219,0.5097784,0.8650785,0.8650785,0.818735,0.5870175,0.633361,0.6642567,0.5870175,0.3398523,0.2162696,0.1390305,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y30_ETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\eta$ $[ e_{1} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y30_ETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y30_ETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_29.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_29.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_29.eps') - -# Running! -if __name__ == '__main__': - selection_29() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_3.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_3.C deleted file mode 100644 index 1c7b6740..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_3.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_3() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo7","canvas_plotflow_tempo7",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S4_ALPHA_QED_0 = new TH1F("S4_ALPHA_QED_0","S4_ALPHA_QED_0",50,0.0,0.02); - // Content - S4_ALPHA_QED_0->SetBinContent(0,0.0); // underflow - S4_ALPHA_QED_0->SetBinContent(1,0.0); - S4_ALPHA_QED_0->SetBinContent(2,0.0); - S4_ALPHA_QED_0->SetBinContent(3,0.0); - S4_ALPHA_QED_0->SetBinContent(4,0.0); - S4_ALPHA_QED_0->SetBinContent(5,0.0); - S4_ALPHA_QED_0->SetBinContent(6,0.0); - S4_ALPHA_QED_0->SetBinContent(7,0.0); - S4_ALPHA_QED_0->SetBinContent(8,0.0); - S4_ALPHA_QED_0->SetBinContent(9,0.0); - S4_ALPHA_QED_0->SetBinContent(10,0.0); - S4_ALPHA_QED_0->SetBinContent(11,0.0); - S4_ALPHA_QED_0->SetBinContent(12,0.0); - S4_ALPHA_QED_0->SetBinContent(13,0.0); - S4_ALPHA_QED_0->SetBinContent(14,0.0); - S4_ALPHA_QED_0->SetBinContent(15,0.0); - S4_ALPHA_QED_0->SetBinContent(16,0.0); - S4_ALPHA_QED_0->SetBinContent(17,0.0); - S4_ALPHA_QED_0->SetBinContent(18,0.0); - S4_ALPHA_QED_0->SetBinContent(19,0.0); - S4_ALPHA_QED_0->SetBinContent(20,0.0); - S4_ALPHA_QED_0->SetBinContent(21,0.0); - S4_ALPHA_QED_0->SetBinContent(22,0.0); - S4_ALPHA_QED_0->SetBinContent(23,0.0); - S4_ALPHA_QED_0->SetBinContent(24,0.0); - S4_ALPHA_QED_0->SetBinContent(25,0.0); - S4_ALPHA_QED_0->SetBinContent(26,0.0); - S4_ALPHA_QED_0->SetBinContent(27,0.0); - S4_ALPHA_QED_0->SetBinContent(28,0.0); - S4_ALPHA_QED_0->SetBinContent(29,0.0); - S4_ALPHA_QED_0->SetBinContent(30,0.0); - S4_ALPHA_QED_0->SetBinContent(31,0.0); - S4_ALPHA_QED_0->SetBinContent(32,0.0); - S4_ALPHA_QED_0->SetBinContent(33,0.0); - S4_ALPHA_QED_0->SetBinContent(34,0.0); - S4_ALPHA_QED_0->SetBinContent(35,0.0); - S4_ALPHA_QED_0->SetBinContent(36,0.0); - S4_ALPHA_QED_0->SetBinContent(37,0.0); - S4_ALPHA_QED_0->SetBinContent(38,0.0); - S4_ALPHA_QED_0->SetBinContent(39,0.0); - S4_ALPHA_QED_0->SetBinContent(40,0.0); - S4_ALPHA_QED_0->SetBinContent(41,0.0); - S4_ALPHA_QED_0->SetBinContent(42,0.0); - S4_ALPHA_QED_0->SetBinContent(43,0.0); - S4_ALPHA_QED_0->SetBinContent(44,0.0); - S4_ALPHA_QED_0->SetBinContent(45,0.0); - S4_ALPHA_QED_0->SetBinContent(46,0.0); - S4_ALPHA_QED_0->SetBinContent(47,0.0); - S4_ALPHA_QED_0->SetBinContent(48,0.0); - S4_ALPHA_QED_0->SetBinContent(49,0.0); - S4_ALPHA_QED_0->SetBinContent(50,0.0); - S4_ALPHA_QED_0->SetBinContent(51,15.44783); // overflow - S4_ALPHA_QED_0->SetEntries(1000); - // Style - S4_ALPHA_QED_0->SetLineColor(9); - S4_ALPHA_QED_0->SetLineStyle(1); - S4_ALPHA_QED_0->SetLineWidth(1); - S4_ALPHA_QED_0->SetFillColor(9); - S4_ALPHA_QED_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_8","mystack"); - stack->Add(S4_ALPHA_QED_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#alpha_{QED} "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_3.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_3.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_3.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_3.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_3.py deleted file mode 100644 index 2ed3c66e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_3.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_3(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,0.02,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.0002,0.0006000000000000001,0.001,0.0014,0.0018000000000000002,0.0022,0.0026000000000000003,0.003,0.0034000000000000002,0.0038,0.004200000000000001,0.0046,0.005,0.0054,0.0058000000000000005,0.006200000000000001,0.0066,0.007,0.0074,0.0078000000000000005,0.0082,0.0086,0.009000000000000001,0.0094,0.0098,0.0102,0.0106,0.011000000000000001,0.0114,0.0118,0.0122,0.0126,0.013000000000000001,0.0134,0.013800000000000002,0.0142,0.0146,0.015000000000000001,0.0154,0.0158,0.0162,0.0166,0.017,0.017400000000000002,0.0178,0.0182,0.018600000000000002,0.019,0.0194,0.0198]) - - # Creating weights for histo: y4_ALPHA_QED_0 - y4_ALPHA_QED_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y4_ALPHA_QED_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\alpha_{QED}$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y4_ALPHA_QED_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y4_ALPHA_QED_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_3.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_3.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_3.eps') - -# Running! -if __name__ == '__main__': - selection_3() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_30.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_30.C deleted file mode 100644 index 22a5155a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_30.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_30() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo61","canvas_plotflow_tempo61",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S31_PHI_0 = new TH1F("S31_PHI_0","S31_PHI_0",32,-3.2,3.2); - // Content - S31_PHI_0->SetBinContent(0,0.0); // underflow - S31_PHI_0->SetBinContent(1,0.185374); - S31_PHI_0->SetBinContent(2,0.1081348); - S31_PHI_0->SetBinContent(3,0.2626131); - S31_PHI_0->SetBinContent(4,0.2317174); - S31_PHI_0->SetBinContent(5,0.185374); - S31_PHI_0->SetBinContent(6,0.1544783); - S31_PHI_0->SetBinContent(7,0.3089566); - S31_PHI_0->SetBinContent(8,0.2935088); - S31_PHI_0->SetBinContent(9,0.4016436); - S31_PHI_0->SetBinContent(10,0.3089566); - S31_PHI_0->SetBinContent(11,0.2162696); - S31_PHI_0->SetBinContent(12,0.3089566); - S31_PHI_0->SetBinContent(13,0.2008218); - S31_PHI_0->SetBinContent(14,0.2008218); - S31_PHI_0->SetBinContent(15,0.2008218); - S31_PHI_0->SetBinContent(16,0.2626131); - S31_PHI_0->SetBinContent(17,0.2935088); - S31_PHI_0->SetBinContent(18,0.3244044); - S31_PHI_0->SetBinContent(19,0.3553001); - S31_PHI_0->SetBinContent(20,0.1699261); - S31_PHI_0->SetBinContent(21,0.1699261); - S31_PHI_0->SetBinContent(22,0.2317174); - S31_PHI_0->SetBinContent(23,0.2162696); - S31_PHI_0->SetBinContent(24,0.2317174); - S31_PHI_0->SetBinContent(25,0.2935088); - S31_PHI_0->SetBinContent(26,0.2317174); - S31_PHI_0->SetBinContent(27,0.3398523); - S31_PHI_0->SetBinContent(28,0.3553001); - S31_PHI_0->SetBinContent(29,0.2471653); - S31_PHI_0->SetBinContent(30,0.2780609); - S31_PHI_0->SetBinContent(31,0.1544783); - S31_PHI_0->SetBinContent(32,0.09268698); - S31_PHI_0->SetBinContent(33,0.0); // overflow - S31_PHI_0->SetEntries(506); - // Style - S31_PHI_0->SetLineColor(9); - S31_PHI_0->SetLineStyle(1); - S31_PHI_0->SetLineWidth(1); - S31_PHI_0->SetFillColor(9); - S31_PHI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_62","mystack"); - stack->Add(S31_PHI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#phi [ e_{1} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_30.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_30.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_30.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_30.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_30.py deleted file mode 100644 index a88da9dd..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_30.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_30(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) - - # Creating weights for histo: y31_PHI_0 - y31_PHI_0_weights = numpy.array([0.185374,0.1081348,0.2626131,0.2317174,0.185374,0.1544783,0.3089566,0.2935088,0.4016436,0.3089566,0.2162696,0.3089566,0.2008218,0.2008218,0.2008218,0.2626131,0.2935088,0.3244044,0.3553001,0.1699261,0.1699261,0.2317174,0.2162696,0.2317174,0.2935088,0.2317174,0.3398523,0.3553001,0.2471653,0.2780609,0.1544783,0.09268698]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y31_PHI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\phi$ $[ e_{1} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y31_PHI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y31_PHI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_30.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_30.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_30.eps') - -# Running! -if __name__ == '__main__': - selection_30() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_31.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_31.C deleted file mode 100644 index 62e3a6fb..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_31.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_31() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo63","canvas_plotflow_tempo63",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S32_E_0 = new TH1F("S32_E_0","S32_E_0",50,0.0,2000.0); - // Content - S32_E_0->SetBinContent(0,0.0); // underflow - S32_E_0->SetBinContent(1,2.178144); - S32_E_0->SetBinContent(2,2.718818); - S32_E_0->SetBinContent(3,1.220379); - S32_E_0->SetBinContent(4,0.6179132); - S32_E_0->SetBinContent(5,0.4634349); - S32_E_0->SetBinContent(6,0.1544783); - S32_E_0->SetBinContent(7,0.1544783); - S32_E_0->SetBinContent(8,0.1544783); - S32_E_0->SetBinContent(9,0.04634349); - S32_E_0->SetBinContent(10,0.04634349); - S32_E_0->SetBinContent(11,0.01544783); - S32_E_0->SetBinContent(12,0.0); - S32_E_0->SetBinContent(13,0.04634349); - S32_E_0->SetBinContent(14,0.0); - S32_E_0->SetBinContent(15,0.0); - S32_E_0->SetBinContent(16,0.0); - S32_E_0->SetBinContent(17,0.0); - S32_E_0->SetBinContent(18,0.0); - S32_E_0->SetBinContent(19,0.0); - S32_E_0->SetBinContent(20,0.0); - S32_E_0->SetBinContent(21,0.0); - S32_E_0->SetBinContent(22,0.0); - S32_E_0->SetBinContent(23,0.0); - S32_E_0->SetBinContent(24,0.0); - S32_E_0->SetBinContent(25,0.0); - S32_E_0->SetBinContent(26,0.0); - S32_E_0->SetBinContent(27,0.0); - S32_E_0->SetBinContent(28,0.0); - S32_E_0->SetBinContent(29,0.0); - S32_E_0->SetBinContent(30,0.0); - S32_E_0->SetBinContent(31,0.0); - S32_E_0->SetBinContent(32,0.0); - S32_E_0->SetBinContent(33,0.0); - S32_E_0->SetBinContent(34,0.0); - S32_E_0->SetBinContent(35,0.0); - S32_E_0->SetBinContent(36,0.0); - S32_E_0->SetBinContent(37,0.0); - S32_E_0->SetBinContent(38,0.0); - S32_E_0->SetBinContent(39,0.0); - S32_E_0->SetBinContent(40,0.0); - S32_E_0->SetBinContent(41,0.0); - S32_E_0->SetBinContent(42,0.0); - S32_E_0->SetBinContent(43,0.0); - S32_E_0->SetBinContent(44,0.0); - S32_E_0->SetBinContent(45,0.0); - S32_E_0->SetBinContent(46,0.0); - S32_E_0->SetBinContent(47,0.0); - S32_E_0->SetBinContent(48,0.0); - S32_E_0->SetBinContent(49,0.0); - S32_E_0->SetBinContent(50,0.0); - S32_E_0->SetBinContent(51,0.0); // overflow - S32_E_0->SetEntries(506); - // Style - S32_E_0->SetLineColor(9); - S32_E_0->SetLineStyle(1); - S32_E_0->SetLineWidth(1); - S32_E_0->SetFillColor(9); - S32_E_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_64","mystack"); - stack->Add(S32_E_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E [ e_{1} ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_31.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_31.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_31.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_31.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_31.py deleted file mode 100644 index 58848bb4..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_31.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_31(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y32_E_0 - y32_E_0_weights = numpy.array([2.178144,2.718818,1.220379,0.6179132,0.4634349,0.1544783,0.1544783,0.1544783,0.04634349,0.04634349,0.01544783,0.0,0.04634349,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y32_E_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E$ $[ e_{1} ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y32_E_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y32_E_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_31.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_31.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_31.eps') - -# Running! -if __name__ == '__main__': - selection_31() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_32.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_32.C deleted file mode 100644 index c5d0216a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_32.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_32() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo65","canvas_plotflow_tempo65",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S33_MT_MET_0 = new TH1F("S33_MT_MET_0","S33_MT_MET_0",50,0.0,1000.0); - // Content - S33_MT_MET_0->SetBinContent(0,0.0); // underflow - S33_MT_MET_0->SetBinContent(1,0.6179132); - S33_MT_MET_0->SetBinContent(2,0.9886611); - S33_MT_MET_0->SetBinContent(3,1.699261); - S33_MT_MET_0->SetBinContent(4,3.63024); - S33_MT_MET_0->SetBinContent(5,0.8650785); - S33_MT_MET_0->SetBinContent(6,0.01544783); - S33_MT_MET_0->SetBinContent(7,0.0); - S33_MT_MET_0->SetBinContent(8,0.0); - S33_MT_MET_0->SetBinContent(9,0.0); - S33_MT_MET_0->SetBinContent(10,0.0); - S33_MT_MET_0->SetBinContent(11,0.0); - S33_MT_MET_0->SetBinContent(12,0.0); - S33_MT_MET_0->SetBinContent(13,0.0); - S33_MT_MET_0->SetBinContent(14,0.0); - S33_MT_MET_0->SetBinContent(15,0.0); - S33_MT_MET_0->SetBinContent(16,0.0); - S33_MT_MET_0->SetBinContent(17,0.0); - S33_MT_MET_0->SetBinContent(18,0.0); - S33_MT_MET_0->SetBinContent(19,0.0); - S33_MT_MET_0->SetBinContent(20,0.0); - S33_MT_MET_0->SetBinContent(21,0.0); - S33_MT_MET_0->SetBinContent(22,0.0); - S33_MT_MET_0->SetBinContent(23,0.0); - S33_MT_MET_0->SetBinContent(24,0.0); - S33_MT_MET_0->SetBinContent(25,0.0); - S33_MT_MET_0->SetBinContent(26,0.0); - S33_MT_MET_0->SetBinContent(27,0.0); - S33_MT_MET_0->SetBinContent(28,0.0); - S33_MT_MET_0->SetBinContent(29,0.0); - S33_MT_MET_0->SetBinContent(30,0.0); - S33_MT_MET_0->SetBinContent(31,0.0); - S33_MT_MET_0->SetBinContent(32,0.0); - S33_MT_MET_0->SetBinContent(33,0.0); - S33_MT_MET_0->SetBinContent(34,0.0); - S33_MT_MET_0->SetBinContent(35,0.0); - S33_MT_MET_0->SetBinContent(36,0.0); - S33_MT_MET_0->SetBinContent(37,0.0); - S33_MT_MET_0->SetBinContent(38,0.0); - S33_MT_MET_0->SetBinContent(39,0.0); - S33_MT_MET_0->SetBinContent(40,0.0); - S33_MT_MET_0->SetBinContent(41,0.0); - S33_MT_MET_0->SetBinContent(42,0.0); - S33_MT_MET_0->SetBinContent(43,0.0); - S33_MT_MET_0->SetBinContent(44,0.0); - S33_MT_MET_0->SetBinContent(45,0.0); - S33_MT_MET_0->SetBinContent(46,0.0); - S33_MT_MET_0->SetBinContent(47,0.0); - S33_MT_MET_0->SetBinContent(48,0.0); - S33_MT_MET_0->SetBinContent(49,0.0); - S33_MT_MET_0->SetBinContent(50,0.0); - S33_MT_MET_0->SetBinContent(51,0.0); // overflow - S33_MT_MET_0->SetEntries(506); - // Style - S33_MT_MET_0->SetLineColor(9); - S33_MT_MET_0->SetLineStyle(1); - S33_MT_MET_0->SetLineWidth(1); - S33_MT_MET_0->SetFillColor(9); - S33_MT_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_66","mystack"); - stack->Add(S33_MT_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ e_{1} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_32.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_32.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_32.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_32.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_32.py deleted file mode 100644 index 2ffbdbfb..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_32.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_32(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y33_MT_MET_0 - y33_MT_MET_0_weights = numpy.array([0.6179132,0.9886611,1.699261,3.63024,0.8650785,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y33_MT_MET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ e_{1} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y33_MT_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y33_MT_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_32.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_32.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_32.eps') - -# Running! -if __name__ == '__main__': - selection_32() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_33.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_33.C deleted file mode 100644 index 46f1f567..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_33.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_33() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo67","canvas_plotflow_tempo67",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S34_PT_0 = new TH1F("S34_PT_0","S34_PT_0",50,0.0,1000.0); - // Content - S34_PT_0->SetBinContent(0,0.0); // underflow - S34_PT_0->SetBinContent(1,0.0); - S34_PT_0->SetBinContent(2,0.0); - S34_PT_0->SetBinContent(3,0.0); - S34_PT_0->SetBinContent(4,0.0); - S34_PT_0->SetBinContent(5,0.0); - S34_PT_0->SetBinContent(6,0.0); - S34_PT_0->SetBinContent(7,0.0); - S34_PT_0->SetBinContent(8,0.0); - S34_PT_0->SetBinContent(9,0.0); - S34_PT_0->SetBinContent(10,0.0); - S34_PT_0->SetBinContent(11,0.0); - S34_PT_0->SetBinContent(12,0.0); - S34_PT_0->SetBinContent(13,0.0); - S34_PT_0->SetBinContent(14,0.0); - S34_PT_0->SetBinContent(15,0.0); - S34_PT_0->SetBinContent(16,0.0); - S34_PT_0->SetBinContent(17,0.0); - S34_PT_0->SetBinContent(18,0.0); - S34_PT_0->SetBinContent(19,0.0); - S34_PT_0->SetBinContent(20,0.0); - S34_PT_0->SetBinContent(21,0.0); - S34_PT_0->SetBinContent(22,0.0); - S34_PT_0->SetBinContent(23,0.0); - S34_PT_0->SetBinContent(24,0.0); - S34_PT_0->SetBinContent(25,0.0); - S34_PT_0->SetBinContent(26,0.0); - S34_PT_0->SetBinContent(27,0.0); - S34_PT_0->SetBinContent(28,0.0); - S34_PT_0->SetBinContent(29,0.0); - S34_PT_0->SetBinContent(30,0.0); - S34_PT_0->SetBinContent(31,0.0); - S34_PT_0->SetBinContent(32,0.0); - S34_PT_0->SetBinContent(33,0.0); - S34_PT_0->SetBinContent(34,0.0); - S34_PT_0->SetBinContent(35,0.0); - S34_PT_0->SetBinContent(36,0.0); - S34_PT_0->SetBinContent(37,0.0); - S34_PT_0->SetBinContent(38,0.0); - S34_PT_0->SetBinContent(39,0.0); - S34_PT_0->SetBinContent(40,0.0); - S34_PT_0->SetBinContent(41,0.0); - S34_PT_0->SetBinContent(42,0.0); - S34_PT_0->SetBinContent(43,0.0); - S34_PT_0->SetBinContent(44,0.0); - S34_PT_0->SetBinContent(45,0.0); - S34_PT_0->SetBinContent(46,0.0); - S34_PT_0->SetBinContent(47,0.0); - S34_PT_0->SetBinContent(48,0.0); - S34_PT_0->SetBinContent(49,0.0); - S34_PT_0->SetBinContent(50,0.0); - S34_PT_0->SetBinContent(51,0.0); // overflow - S34_PT_0->SetEntries(0); - // Style - S34_PT_0->SetLineColor(9); - S34_PT_0->SetLineStyle(1); - S34_PT_0->SetLineWidth(1); - S34_PT_0->SetFillColor(9); - S34_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_68","mystack"); - stack->Add(S34_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ e_{2} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_33.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_33.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_33.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_33.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_33.py deleted file mode 100644 index d3a437c8..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_33.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_33(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y34_PT_0 - y34_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y34_PT_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ e_{2} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y34_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y34_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_33.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_33.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_33.eps') - -# Running! -if __name__ == '__main__': - selection_33() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_34.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_34.C deleted file mode 100644 index 6aedf59d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_34.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_34() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo69","canvas_plotflow_tempo69",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S35_ETA_0 = new TH1F("S35_ETA_0","S35_ETA_0",50,-8.0,8.0); - // Content - S35_ETA_0->SetBinContent(0,0.0); // underflow - S35_ETA_0->SetBinContent(1,0.0); - S35_ETA_0->SetBinContent(2,0.0); - S35_ETA_0->SetBinContent(3,0.0); - S35_ETA_0->SetBinContent(4,0.0); - S35_ETA_0->SetBinContent(5,0.0); - S35_ETA_0->SetBinContent(6,0.0); - S35_ETA_0->SetBinContent(7,0.0); - S35_ETA_0->SetBinContent(8,0.0); - S35_ETA_0->SetBinContent(9,0.0); - S35_ETA_0->SetBinContent(10,0.0); - S35_ETA_0->SetBinContent(11,0.0); - S35_ETA_0->SetBinContent(12,0.0); - S35_ETA_0->SetBinContent(13,0.0); - S35_ETA_0->SetBinContent(14,0.0); - S35_ETA_0->SetBinContent(15,0.0); - S35_ETA_0->SetBinContent(16,0.0); - S35_ETA_0->SetBinContent(17,0.0); - S35_ETA_0->SetBinContent(18,0.0); - S35_ETA_0->SetBinContent(19,0.0); - S35_ETA_0->SetBinContent(20,0.0); - S35_ETA_0->SetBinContent(21,0.0); - S35_ETA_0->SetBinContent(22,0.0); - S35_ETA_0->SetBinContent(23,0.0); - S35_ETA_0->SetBinContent(24,0.0); - S35_ETA_0->SetBinContent(25,0.0); - S35_ETA_0->SetBinContent(26,0.0); - S35_ETA_0->SetBinContent(27,0.0); - S35_ETA_0->SetBinContent(28,0.0); - S35_ETA_0->SetBinContent(29,0.0); - S35_ETA_0->SetBinContent(30,0.0); - S35_ETA_0->SetBinContent(31,0.0); - S35_ETA_0->SetBinContent(32,0.0); - S35_ETA_0->SetBinContent(33,0.0); - S35_ETA_0->SetBinContent(34,0.0); - S35_ETA_0->SetBinContent(35,0.0); - S35_ETA_0->SetBinContent(36,0.0); - S35_ETA_0->SetBinContent(37,0.0); - S35_ETA_0->SetBinContent(38,0.0); - S35_ETA_0->SetBinContent(39,0.0); - S35_ETA_0->SetBinContent(40,0.0); - S35_ETA_0->SetBinContent(41,0.0); - S35_ETA_0->SetBinContent(42,0.0); - S35_ETA_0->SetBinContent(43,0.0); - S35_ETA_0->SetBinContent(44,0.0); - S35_ETA_0->SetBinContent(45,0.0); - S35_ETA_0->SetBinContent(46,0.0); - S35_ETA_0->SetBinContent(47,0.0); - S35_ETA_0->SetBinContent(48,0.0); - S35_ETA_0->SetBinContent(49,0.0); - S35_ETA_0->SetBinContent(50,0.0); - S35_ETA_0->SetBinContent(51,0.0); // overflow - S35_ETA_0->SetEntries(0); - // Style - S35_ETA_0->SetLineColor(9); - S35_ETA_0->SetLineStyle(1); - S35_ETA_0->SetLineWidth(1); - S35_ETA_0->SetFillColor(9); - S35_ETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_70","mystack"); - stack->Add(S35_ETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#eta [ e_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_34.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_34.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_34.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_34.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_34.py deleted file mode 100644 index 16ce2b67..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_34.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_34(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y35_ETA_0 - y35_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y35_ETA_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\eta$ $[ e_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y35_ETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y35_ETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_34.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_34.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_34.eps') - -# Running! -if __name__ == '__main__': - selection_34() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_35.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_35.C deleted file mode 100644 index c526b42f..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_35.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_35() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo71","canvas_plotflow_tempo71",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S36_PHI_0 = new TH1F("S36_PHI_0","S36_PHI_0",32,-3.2,3.2); - // Content - S36_PHI_0->SetBinContent(0,0.0); // underflow - S36_PHI_0->SetBinContent(1,0.0); - S36_PHI_0->SetBinContent(2,0.0); - S36_PHI_0->SetBinContent(3,0.0); - S36_PHI_0->SetBinContent(4,0.0); - S36_PHI_0->SetBinContent(5,0.0); - S36_PHI_0->SetBinContent(6,0.0); - S36_PHI_0->SetBinContent(7,0.0); - S36_PHI_0->SetBinContent(8,0.0); - S36_PHI_0->SetBinContent(9,0.0); - S36_PHI_0->SetBinContent(10,0.0); - S36_PHI_0->SetBinContent(11,0.0); - S36_PHI_0->SetBinContent(12,0.0); - S36_PHI_0->SetBinContent(13,0.0); - S36_PHI_0->SetBinContent(14,0.0); - S36_PHI_0->SetBinContent(15,0.0); - S36_PHI_0->SetBinContent(16,0.0); - S36_PHI_0->SetBinContent(17,0.0); - S36_PHI_0->SetBinContent(18,0.0); - S36_PHI_0->SetBinContent(19,0.0); - S36_PHI_0->SetBinContent(20,0.0); - S36_PHI_0->SetBinContent(21,0.0); - S36_PHI_0->SetBinContent(22,0.0); - S36_PHI_0->SetBinContent(23,0.0); - S36_PHI_0->SetBinContent(24,0.0); - S36_PHI_0->SetBinContent(25,0.0); - S36_PHI_0->SetBinContent(26,0.0); - S36_PHI_0->SetBinContent(27,0.0); - S36_PHI_0->SetBinContent(28,0.0); - S36_PHI_0->SetBinContent(29,0.0); - S36_PHI_0->SetBinContent(30,0.0); - S36_PHI_0->SetBinContent(31,0.0); - S36_PHI_0->SetBinContent(32,0.0); - S36_PHI_0->SetBinContent(33,0.0); // overflow - S36_PHI_0->SetEntries(0); - // Style - S36_PHI_0->SetLineColor(9); - S36_PHI_0->SetLineStyle(1); - S36_PHI_0->SetLineWidth(1); - S36_PHI_0->SetFillColor(9); - S36_PHI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_72","mystack"); - stack->Add(S36_PHI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#phi [ e_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_35.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_35.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_35.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_35.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_35.py deleted file mode 100644 index cfdacd65..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_35.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_35(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) - - # Creating weights for histo: y36_PHI_0 - y36_PHI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y36_PHI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\phi$ $[ e_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y36_PHI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y36_PHI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_35.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_35.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_35.eps') - -# Running! -if __name__ == '__main__': - selection_35() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_36.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_36.C deleted file mode 100644 index fd92ef2a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_36.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_36() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo73","canvas_plotflow_tempo73",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S37_E_0 = new TH1F("S37_E_0","S37_E_0",50,0.0,2000.0); - // Content - S37_E_0->SetBinContent(0,0.0); // underflow - S37_E_0->SetBinContent(1,0.0); - S37_E_0->SetBinContent(2,0.0); - S37_E_0->SetBinContent(3,0.0); - S37_E_0->SetBinContent(4,0.0); - S37_E_0->SetBinContent(5,0.0); - S37_E_0->SetBinContent(6,0.0); - S37_E_0->SetBinContent(7,0.0); - S37_E_0->SetBinContent(8,0.0); - S37_E_0->SetBinContent(9,0.0); - S37_E_0->SetBinContent(10,0.0); - S37_E_0->SetBinContent(11,0.0); - S37_E_0->SetBinContent(12,0.0); - S37_E_0->SetBinContent(13,0.0); - S37_E_0->SetBinContent(14,0.0); - S37_E_0->SetBinContent(15,0.0); - S37_E_0->SetBinContent(16,0.0); - S37_E_0->SetBinContent(17,0.0); - S37_E_0->SetBinContent(18,0.0); - S37_E_0->SetBinContent(19,0.0); - S37_E_0->SetBinContent(20,0.0); - S37_E_0->SetBinContent(21,0.0); - S37_E_0->SetBinContent(22,0.0); - S37_E_0->SetBinContent(23,0.0); - S37_E_0->SetBinContent(24,0.0); - S37_E_0->SetBinContent(25,0.0); - S37_E_0->SetBinContent(26,0.0); - S37_E_0->SetBinContent(27,0.0); - S37_E_0->SetBinContent(28,0.0); - S37_E_0->SetBinContent(29,0.0); - S37_E_0->SetBinContent(30,0.0); - S37_E_0->SetBinContent(31,0.0); - S37_E_0->SetBinContent(32,0.0); - S37_E_0->SetBinContent(33,0.0); - S37_E_0->SetBinContent(34,0.0); - S37_E_0->SetBinContent(35,0.0); - S37_E_0->SetBinContent(36,0.0); - S37_E_0->SetBinContent(37,0.0); - S37_E_0->SetBinContent(38,0.0); - S37_E_0->SetBinContent(39,0.0); - S37_E_0->SetBinContent(40,0.0); - S37_E_0->SetBinContent(41,0.0); - S37_E_0->SetBinContent(42,0.0); - S37_E_0->SetBinContent(43,0.0); - S37_E_0->SetBinContent(44,0.0); - S37_E_0->SetBinContent(45,0.0); - S37_E_0->SetBinContent(46,0.0); - S37_E_0->SetBinContent(47,0.0); - S37_E_0->SetBinContent(48,0.0); - S37_E_0->SetBinContent(49,0.0); - S37_E_0->SetBinContent(50,0.0); - S37_E_0->SetBinContent(51,0.0); // overflow - S37_E_0->SetEntries(0); - // Style - S37_E_0->SetLineColor(9); - S37_E_0->SetLineStyle(1); - S37_E_0->SetLineWidth(1); - S37_E_0->SetFillColor(9); - S37_E_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_74","mystack"); - stack->Add(S37_E_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E [ e_{2} ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_36.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_36.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_36.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_36.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_36.py deleted file mode 100644 index 231823d3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_36.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_36(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y37_E_0 - y37_E_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y37_E_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E$ $[ e_{2} ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y37_E_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y37_E_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_36.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_36.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_36.eps') - -# Running! -if __name__ == '__main__': - selection_36() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_37.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_37.C deleted file mode 100644 index 2b5cd3eb..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_37.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_37() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo75","canvas_plotflow_tempo75",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S38_MT_MET_0 = new TH1F("S38_MT_MET_0","S38_MT_MET_0",50,0.0,1000.0); - // Content - S38_MT_MET_0->SetBinContent(0,0.0); // underflow - S38_MT_MET_0->SetBinContent(1,0.0); - S38_MT_MET_0->SetBinContent(2,0.0); - S38_MT_MET_0->SetBinContent(3,0.0); - S38_MT_MET_0->SetBinContent(4,0.0); - S38_MT_MET_0->SetBinContent(5,0.0); - S38_MT_MET_0->SetBinContent(6,0.0); - S38_MT_MET_0->SetBinContent(7,0.0); - S38_MT_MET_0->SetBinContent(8,0.0); - S38_MT_MET_0->SetBinContent(9,0.0); - S38_MT_MET_0->SetBinContent(10,0.0); - S38_MT_MET_0->SetBinContent(11,0.0); - S38_MT_MET_0->SetBinContent(12,0.0); - S38_MT_MET_0->SetBinContent(13,0.0); - S38_MT_MET_0->SetBinContent(14,0.0); - S38_MT_MET_0->SetBinContent(15,0.0); - S38_MT_MET_0->SetBinContent(16,0.0); - S38_MT_MET_0->SetBinContent(17,0.0); - S38_MT_MET_0->SetBinContent(18,0.0); - S38_MT_MET_0->SetBinContent(19,0.0); - S38_MT_MET_0->SetBinContent(20,0.0); - S38_MT_MET_0->SetBinContent(21,0.0); - S38_MT_MET_0->SetBinContent(22,0.0); - S38_MT_MET_0->SetBinContent(23,0.0); - S38_MT_MET_0->SetBinContent(24,0.0); - S38_MT_MET_0->SetBinContent(25,0.0); - S38_MT_MET_0->SetBinContent(26,0.0); - S38_MT_MET_0->SetBinContent(27,0.0); - S38_MT_MET_0->SetBinContent(28,0.0); - S38_MT_MET_0->SetBinContent(29,0.0); - S38_MT_MET_0->SetBinContent(30,0.0); - S38_MT_MET_0->SetBinContent(31,0.0); - S38_MT_MET_0->SetBinContent(32,0.0); - S38_MT_MET_0->SetBinContent(33,0.0); - S38_MT_MET_0->SetBinContent(34,0.0); - S38_MT_MET_0->SetBinContent(35,0.0); - S38_MT_MET_0->SetBinContent(36,0.0); - S38_MT_MET_0->SetBinContent(37,0.0); - S38_MT_MET_0->SetBinContent(38,0.0); - S38_MT_MET_0->SetBinContent(39,0.0); - S38_MT_MET_0->SetBinContent(40,0.0); - S38_MT_MET_0->SetBinContent(41,0.0); - S38_MT_MET_0->SetBinContent(42,0.0); - S38_MT_MET_0->SetBinContent(43,0.0); - S38_MT_MET_0->SetBinContent(44,0.0); - S38_MT_MET_0->SetBinContent(45,0.0); - S38_MT_MET_0->SetBinContent(46,0.0); - S38_MT_MET_0->SetBinContent(47,0.0); - S38_MT_MET_0->SetBinContent(48,0.0); - S38_MT_MET_0->SetBinContent(49,0.0); - S38_MT_MET_0->SetBinContent(50,0.0); - S38_MT_MET_0->SetBinContent(51,0.0); // overflow - S38_MT_MET_0->SetEntries(0); - // Style - S38_MT_MET_0->SetLineColor(9); - S38_MT_MET_0->SetLineStyle(1); - S38_MT_MET_0->SetLineWidth(1); - S38_MT_MET_0->SetFillColor(9); - S38_MT_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_76","mystack"); - stack->Add(S38_MT_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ e_{2} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_37.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_37.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_37.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_37.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_37.py deleted file mode 100644 index a3c7ce07..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_37.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_37(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y38_MT_MET_0 - y38_MT_MET_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y38_MT_MET_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ e_{2} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y38_MT_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y38_MT_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_37.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_37.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_37.eps') - -# Running! -if __name__ == '__main__': - selection_37() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_38.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_38.C deleted file mode 100644 index 5a7834a7..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_38.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_38() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo77","canvas_plotflow_tempo77",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S39_M_0 = new TH1F("S39_M_0","S39_M_0",50,0.0,1000.0); - // Content - S39_M_0->SetBinContent(0,0.0); // underflow - S39_M_0->SetBinContent(1,0.0); - S39_M_0->SetBinContent(2,0.0); - S39_M_0->SetBinContent(3,0.0); - S39_M_0->SetBinContent(4,0.0); - S39_M_0->SetBinContent(5,0.0); - S39_M_0->SetBinContent(6,0.0); - S39_M_0->SetBinContent(7,0.0); - S39_M_0->SetBinContent(8,0.0); - S39_M_0->SetBinContent(9,0.0); - S39_M_0->SetBinContent(10,0.0); - S39_M_0->SetBinContent(11,0.0); - S39_M_0->SetBinContent(12,0.0); - S39_M_0->SetBinContent(13,0.0); - S39_M_0->SetBinContent(14,0.0); - S39_M_0->SetBinContent(15,0.0); - S39_M_0->SetBinContent(16,0.0); - S39_M_0->SetBinContent(17,0.0); - S39_M_0->SetBinContent(18,0.0); - S39_M_0->SetBinContent(19,0.0); - S39_M_0->SetBinContent(20,0.0); - S39_M_0->SetBinContent(21,0.0); - S39_M_0->SetBinContent(22,0.0); - S39_M_0->SetBinContent(23,0.0); - S39_M_0->SetBinContent(24,0.0); - S39_M_0->SetBinContent(25,0.0); - S39_M_0->SetBinContent(26,0.0); - S39_M_0->SetBinContent(27,0.0); - S39_M_0->SetBinContent(28,0.0); - S39_M_0->SetBinContent(29,0.0); - S39_M_0->SetBinContent(30,0.0); - S39_M_0->SetBinContent(31,0.0); - S39_M_0->SetBinContent(32,0.0); - S39_M_0->SetBinContent(33,0.0); - S39_M_0->SetBinContent(34,0.0); - S39_M_0->SetBinContent(35,0.0); - S39_M_0->SetBinContent(36,0.0); - S39_M_0->SetBinContent(37,0.0); - S39_M_0->SetBinContent(38,0.0); - S39_M_0->SetBinContent(39,0.0); - S39_M_0->SetBinContent(40,0.0); - S39_M_0->SetBinContent(41,0.0); - S39_M_0->SetBinContent(42,0.0); - S39_M_0->SetBinContent(43,0.0); - S39_M_0->SetBinContent(44,0.0); - S39_M_0->SetBinContent(45,0.0); - S39_M_0->SetBinContent(46,0.0); - S39_M_0->SetBinContent(47,0.0); - S39_M_0->SetBinContent(48,0.0); - S39_M_0->SetBinContent(49,0.0); - S39_M_0->SetBinContent(50,0.0); - S39_M_0->SetBinContent(51,0.0); // overflow - S39_M_0->SetEntries(0); - // Style - S39_M_0->SetLineColor(9); - S39_M_0->SetLineStyle(1); - S39_M_0->SetLineWidth(1); - S39_M_0->SetFillColor(9); - S39_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_78","mystack"); - stack->Add(S39_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ e_{1} e_{2} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_38.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_38.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_38.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_38.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_38.py deleted file mode 100644 index e78a90ca..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_38.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_38(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y39_M_0 - y39_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y39_M_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ e_{1} e_{2} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y39_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y39_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_38.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_38.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_38.eps') - -# Running! -if __name__ == '__main__': - selection_38() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_39.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_39.C deleted file mode 100644 index a8c5b4fe..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_39.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_39() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo79","canvas_plotflow_tempo79",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S40_PT_0 = new TH1F("S40_PT_0","S40_PT_0",50,0.0,1500.0); - // Content - S40_PT_0->SetBinContent(0,0.0); // underflow - S40_PT_0->SetBinContent(1,0.0); - S40_PT_0->SetBinContent(2,0.0); - S40_PT_0->SetBinContent(3,0.0); - S40_PT_0->SetBinContent(4,0.0); - S40_PT_0->SetBinContent(5,0.0); - S40_PT_0->SetBinContent(6,0.0); - S40_PT_0->SetBinContent(7,0.0); - S40_PT_0->SetBinContent(8,0.0); - S40_PT_0->SetBinContent(9,0.0); - S40_PT_0->SetBinContent(10,0.0); - S40_PT_0->SetBinContent(11,0.0); - S40_PT_0->SetBinContent(12,0.0); - S40_PT_0->SetBinContent(13,0.0); - S40_PT_0->SetBinContent(14,0.0); - S40_PT_0->SetBinContent(15,0.0); - S40_PT_0->SetBinContent(16,0.0); - S40_PT_0->SetBinContent(17,0.0); - S40_PT_0->SetBinContent(18,0.0); - S40_PT_0->SetBinContent(19,0.0); - S40_PT_0->SetBinContent(20,0.0); - S40_PT_0->SetBinContent(21,0.0); - S40_PT_0->SetBinContent(22,0.0); - S40_PT_0->SetBinContent(23,0.0); - S40_PT_0->SetBinContent(24,0.0); - S40_PT_0->SetBinContent(25,0.0); - S40_PT_0->SetBinContent(26,0.0); - S40_PT_0->SetBinContent(27,0.0); - S40_PT_0->SetBinContent(28,0.0); - S40_PT_0->SetBinContent(29,0.0); - S40_PT_0->SetBinContent(30,0.0); - S40_PT_0->SetBinContent(31,0.0); - S40_PT_0->SetBinContent(32,0.0); - S40_PT_0->SetBinContent(33,0.0); - S40_PT_0->SetBinContent(34,0.0); - S40_PT_0->SetBinContent(35,0.0); - S40_PT_0->SetBinContent(36,0.0); - S40_PT_0->SetBinContent(37,0.0); - S40_PT_0->SetBinContent(38,0.0); - S40_PT_0->SetBinContent(39,0.0); - S40_PT_0->SetBinContent(40,0.0); - S40_PT_0->SetBinContent(41,0.0); - S40_PT_0->SetBinContent(42,0.0); - S40_PT_0->SetBinContent(43,0.0); - S40_PT_0->SetBinContent(44,0.0); - S40_PT_0->SetBinContent(45,0.0); - S40_PT_0->SetBinContent(46,0.0); - S40_PT_0->SetBinContent(47,0.0); - S40_PT_0->SetBinContent(48,0.0); - S40_PT_0->SetBinContent(49,0.0); - S40_PT_0->SetBinContent(50,0.0); - S40_PT_0->SetBinContent(51,0.0); // overflow - S40_PT_0->SetEntries(0); - // Style - S40_PT_0->SetLineColor(9); - S40_PT_0->SetLineStyle(1); - S40_PT_0->SetLineWidth(1); - S40_PT_0->SetFillColor(9); - S40_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_80","mystack"); - stack->Add(S40_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ e_{1} e_{2} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_39.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_39.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_39.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_39.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_39.py deleted file mode 100644 index ea6de740..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_39.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_39(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) - - # Creating weights for histo: y40_PT_0 - y40_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y40_PT_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ e_{1} e_{2} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y40_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y40_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_39.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_39.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_39.eps') - -# Running! -if __name__ == '__main__': - selection_39() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_4.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_4.C deleted file mode 100644 index 33e89f62..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_4.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_4() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo9","canvas_plotflow_tempo9",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S5_TET_0 = new TH1F("S5_TET_0","S5_TET_0",50,0.0,5000.0); - // Content - S5_TET_0->SetBinContent(0,0.0); // underflow - S5_TET_0->SetBinContent(1,0.0); - S5_TET_0->SetBinContent(2,0.5561219); - S5_TET_0->SetBinContent(3,8.341828); - S5_TET_0->SetBinContent(4,4.788827); - S5_TET_0->SetBinContent(5,1.127692); - S5_TET_0->SetBinContent(6,0.2935088); - S5_TET_0->SetBinContent(7,0.1544783); - S5_TET_0->SetBinContent(8,0.1544783); - S5_TET_0->SetBinContent(9,0.03089566); - S5_TET_0->SetBinContent(10,0.0); - S5_TET_0->SetBinContent(11,0.0); - S5_TET_0->SetBinContent(12,0.0); - S5_TET_0->SetBinContent(13,0.0); - S5_TET_0->SetBinContent(14,0.0); - S5_TET_0->SetBinContent(15,0.0); - S5_TET_0->SetBinContent(16,0.0); - S5_TET_0->SetBinContent(17,0.0); - S5_TET_0->SetBinContent(18,0.0); - S5_TET_0->SetBinContent(19,0.0); - S5_TET_0->SetBinContent(20,0.0); - S5_TET_0->SetBinContent(21,0.0); - S5_TET_0->SetBinContent(22,0.0); - S5_TET_0->SetBinContent(23,0.0); - S5_TET_0->SetBinContent(24,0.0); - S5_TET_0->SetBinContent(25,0.0); - S5_TET_0->SetBinContent(26,0.0); - S5_TET_0->SetBinContent(27,0.0); - S5_TET_0->SetBinContent(28,0.0); - S5_TET_0->SetBinContent(29,0.0); - S5_TET_0->SetBinContent(30,0.0); - S5_TET_0->SetBinContent(31,0.0); - S5_TET_0->SetBinContent(32,0.0); - S5_TET_0->SetBinContent(33,0.0); - S5_TET_0->SetBinContent(34,0.0); - S5_TET_0->SetBinContent(35,0.0); - S5_TET_0->SetBinContent(36,0.0); - S5_TET_0->SetBinContent(37,0.0); - S5_TET_0->SetBinContent(38,0.0); - S5_TET_0->SetBinContent(39,0.0); - S5_TET_0->SetBinContent(40,0.0); - S5_TET_0->SetBinContent(41,0.0); - S5_TET_0->SetBinContent(42,0.0); - S5_TET_0->SetBinContent(43,0.0); - S5_TET_0->SetBinContent(44,0.0); - S5_TET_0->SetBinContent(45,0.0); - S5_TET_0->SetBinContent(46,0.0); - S5_TET_0->SetBinContent(47,0.0); - S5_TET_0->SetBinContent(48,0.0); - S5_TET_0->SetBinContent(49,0.0); - S5_TET_0->SetBinContent(50,0.0); - S5_TET_0->SetBinContent(51,0.0); // overflow - S5_TET_0->SetEntries(1000); - // Style - S5_TET_0->SetLineColor(9); - S5_TET_0->SetLineStyle(1); - S5_TET_0->SetLineWidth(1); - S5_TET_0->SetFillColor(9); - S5_TET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_10","mystack"); - stack->Add(S5_TET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E_{T} (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_4.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_4.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_4.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_4.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_4.py deleted file mode 100644 index 5a4f3528..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_4.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_4(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,5000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([50.0,150.0,250.0,350.0,450.0,550.0,650.0,750.0,850.0,950.0,1050.0,1150.0,1250.0,1350.0,1450.0,1550.0,1650.0,1750.0,1850.0,1950.0,2050.0,2150.0,2250.0,2350.0,2450.0,2550.0,2650.0,2750.0,2850.0,2950.0,3050.0,3150.0,3250.0,3350.0,3450.0,3550.0,3650.0,3750.0,3850.0,3950.0,4050.0,4150.0,4250.0,4350.0,4450.0,4550.0,4650.0,4750.0,4850.0,4950.0]) - - # Creating weights for histo: y5_TET_0 - y5_TET_0_weights = numpy.array([0.0,0.5561219,8.341828,4.788827,1.127692,0.2935088,0.1544783,0.1544783,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y5_TET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E_{T}$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y5_TET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y5_TET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_4.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_4.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_4.eps') - -# Running! -if __name__ == '__main__': - selection_4() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_40.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_40.C deleted file mode 100644 index 12efd003..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_40.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_40() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo81","canvas_plotflow_tempo81",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S41_DELTAR_0 = new TH1F("S41_DELTAR_0","S41_DELTAR_0",50,0.0,10.0); - // Content - S41_DELTAR_0->SetBinContent(0,0.0); // underflow - S41_DELTAR_0->SetBinContent(1,0.0); - S41_DELTAR_0->SetBinContent(2,0.0); - S41_DELTAR_0->SetBinContent(3,0.0); - S41_DELTAR_0->SetBinContent(4,0.0); - S41_DELTAR_0->SetBinContent(5,0.0); - S41_DELTAR_0->SetBinContent(6,0.0); - S41_DELTAR_0->SetBinContent(7,0.0); - S41_DELTAR_0->SetBinContent(8,0.0); - S41_DELTAR_0->SetBinContent(9,0.0); - S41_DELTAR_0->SetBinContent(10,0.0); - S41_DELTAR_0->SetBinContent(11,0.0); - S41_DELTAR_0->SetBinContent(12,0.0); - S41_DELTAR_0->SetBinContent(13,0.0); - S41_DELTAR_0->SetBinContent(14,0.0); - S41_DELTAR_0->SetBinContent(15,0.0); - S41_DELTAR_0->SetBinContent(16,0.0); - S41_DELTAR_0->SetBinContent(17,0.0); - S41_DELTAR_0->SetBinContent(18,0.0); - S41_DELTAR_0->SetBinContent(19,0.0); - S41_DELTAR_0->SetBinContent(20,0.0); - S41_DELTAR_0->SetBinContent(21,0.0); - S41_DELTAR_0->SetBinContent(22,0.0); - S41_DELTAR_0->SetBinContent(23,0.0); - S41_DELTAR_0->SetBinContent(24,0.0); - S41_DELTAR_0->SetBinContent(25,0.0); - S41_DELTAR_0->SetBinContent(26,0.0); - S41_DELTAR_0->SetBinContent(27,0.0); - S41_DELTAR_0->SetBinContent(28,0.0); - S41_DELTAR_0->SetBinContent(29,0.0); - S41_DELTAR_0->SetBinContent(30,0.0); - S41_DELTAR_0->SetBinContent(31,0.0); - S41_DELTAR_0->SetBinContent(32,0.0); - S41_DELTAR_0->SetBinContent(33,0.0); - S41_DELTAR_0->SetBinContent(34,0.0); - S41_DELTAR_0->SetBinContent(35,0.0); - S41_DELTAR_0->SetBinContent(36,0.0); - S41_DELTAR_0->SetBinContent(37,0.0); - S41_DELTAR_0->SetBinContent(38,0.0); - S41_DELTAR_0->SetBinContent(39,0.0); - S41_DELTAR_0->SetBinContent(40,0.0); - S41_DELTAR_0->SetBinContent(41,0.0); - S41_DELTAR_0->SetBinContent(42,0.0); - S41_DELTAR_0->SetBinContent(43,0.0); - S41_DELTAR_0->SetBinContent(44,0.0); - S41_DELTAR_0->SetBinContent(45,0.0); - S41_DELTAR_0->SetBinContent(46,0.0); - S41_DELTAR_0->SetBinContent(47,0.0); - S41_DELTAR_0->SetBinContent(48,0.0); - S41_DELTAR_0->SetBinContent(49,0.0); - S41_DELTAR_0->SetBinContent(50,0.0); - S41_DELTAR_0->SetBinContent(51,0.0); // overflow - S41_DELTAR_0->SetEntries(0); - // Style - S41_DELTAR_0->SetLineColor(9); - S41_DELTAR_0->SetLineStyle(1); - S41_DELTAR_0->SetLineWidth(1); - S41_DELTAR_0->SetFillColor(9); - S41_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_82","mystack"); - stack->Add(S41_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ e_{1}, e_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_40.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_40.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_40.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_40.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_40.py deleted file mode 100644 index 0bf0bbad..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_40.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_40(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y41_DELTAR_0 - y41_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y41_DELTAR_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ e_{1}, e_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y41_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y41_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_40.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_40.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_40.eps') - -# Running! -if __name__ == '__main__': - selection_40() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_41.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_41.C deleted file mode 100644 index a4ed18a1..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_41.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_41() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo83","canvas_plotflow_tempo83",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S42_DPHI_0_PI_0 = new TH1F("S42_DPHI_0_PI_0","S42_DPHI_0_PI_0",32,0.0,3.2); - // Content - S42_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow - S42_DPHI_0_PI_0->SetBinContent(1,0.0); - S42_DPHI_0_PI_0->SetBinContent(2,0.0); - S42_DPHI_0_PI_0->SetBinContent(3,0.0); - S42_DPHI_0_PI_0->SetBinContent(4,0.0); - S42_DPHI_0_PI_0->SetBinContent(5,0.0); - S42_DPHI_0_PI_0->SetBinContent(6,0.0); - S42_DPHI_0_PI_0->SetBinContent(7,0.0); - S42_DPHI_0_PI_0->SetBinContent(8,0.0); - S42_DPHI_0_PI_0->SetBinContent(9,0.0); - S42_DPHI_0_PI_0->SetBinContent(10,0.0); - S42_DPHI_0_PI_0->SetBinContent(11,0.0); - S42_DPHI_0_PI_0->SetBinContent(12,0.0); - S42_DPHI_0_PI_0->SetBinContent(13,0.0); - S42_DPHI_0_PI_0->SetBinContent(14,0.0); - S42_DPHI_0_PI_0->SetBinContent(15,0.0); - S42_DPHI_0_PI_0->SetBinContent(16,0.0); - S42_DPHI_0_PI_0->SetBinContent(17,0.0); - S42_DPHI_0_PI_0->SetBinContent(18,0.0); - S42_DPHI_0_PI_0->SetBinContent(19,0.0); - S42_DPHI_0_PI_0->SetBinContent(20,0.0); - S42_DPHI_0_PI_0->SetBinContent(21,0.0); - S42_DPHI_0_PI_0->SetBinContent(22,0.0); - S42_DPHI_0_PI_0->SetBinContent(23,0.0); - S42_DPHI_0_PI_0->SetBinContent(24,0.0); - S42_DPHI_0_PI_0->SetBinContent(25,0.0); - S42_DPHI_0_PI_0->SetBinContent(26,0.0); - S42_DPHI_0_PI_0->SetBinContent(27,0.0); - S42_DPHI_0_PI_0->SetBinContent(28,0.0); - S42_DPHI_0_PI_0->SetBinContent(29,0.0); - S42_DPHI_0_PI_0->SetBinContent(30,0.0); - S42_DPHI_0_PI_0->SetBinContent(31,0.0); - S42_DPHI_0_PI_0->SetBinContent(32,0.0); - S42_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow - S42_DPHI_0_PI_0->SetEntries(0); - // Style - S42_DPHI_0_PI_0->SetLineColor(9); - S42_DPHI_0_PI_0->SetLineStyle(1); - S42_DPHI_0_PI_0->SetLineWidth(1); - S42_DPHI_0_PI_0->SetFillColor(9); - S42_DPHI_0_PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_84","mystack"); - stack->Add(S42_DPHI_0_PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ e_{1}, e_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_41.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_41.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_41.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_41.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_41.py deleted file mode 100644 index 6bf8e82b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_41.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_41(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) - - # Creating weights for histo: y42_DPHI_0_PI_0 - y42_DPHI_0_PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y42_DPHI_0_PI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ e_{1}, e_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y42_DPHI_0_PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y42_DPHI_0_PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_41.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_41.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_41.eps') - -# Running! -if __name__ == '__main__': - selection_41() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_42.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_42.C deleted file mode 100644 index 9b8cd431..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_42.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_42() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo85","canvas_plotflow_tempo85",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S43_DPHI_0_2PI_0 = new TH1F("S43_DPHI_0_2PI_0","S43_DPHI_0_2PI_0",32,0.0,6.4); - // Content - S43_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow - S43_DPHI_0_2PI_0->SetBinContent(1,0.0); - S43_DPHI_0_2PI_0->SetBinContent(2,0.0); - S43_DPHI_0_2PI_0->SetBinContent(3,0.0); - S43_DPHI_0_2PI_0->SetBinContent(4,0.0); - S43_DPHI_0_2PI_0->SetBinContent(5,0.0); - S43_DPHI_0_2PI_0->SetBinContent(6,0.0); - S43_DPHI_0_2PI_0->SetBinContent(7,0.0); - S43_DPHI_0_2PI_0->SetBinContent(8,0.0); - S43_DPHI_0_2PI_0->SetBinContent(9,0.0); - S43_DPHI_0_2PI_0->SetBinContent(10,0.0); - S43_DPHI_0_2PI_0->SetBinContent(11,0.0); - S43_DPHI_0_2PI_0->SetBinContent(12,0.0); - S43_DPHI_0_2PI_0->SetBinContent(13,0.0); - S43_DPHI_0_2PI_0->SetBinContent(14,0.0); - S43_DPHI_0_2PI_0->SetBinContent(15,0.0); - S43_DPHI_0_2PI_0->SetBinContent(16,0.0); - S43_DPHI_0_2PI_0->SetBinContent(17,0.0); - S43_DPHI_0_2PI_0->SetBinContent(18,0.0); - S43_DPHI_0_2PI_0->SetBinContent(19,0.0); - S43_DPHI_0_2PI_0->SetBinContent(20,0.0); - S43_DPHI_0_2PI_0->SetBinContent(21,0.0); - S43_DPHI_0_2PI_0->SetBinContent(22,0.0); - S43_DPHI_0_2PI_0->SetBinContent(23,0.0); - S43_DPHI_0_2PI_0->SetBinContent(24,0.0); - S43_DPHI_0_2PI_0->SetBinContent(25,0.0); - S43_DPHI_0_2PI_0->SetBinContent(26,0.0); - S43_DPHI_0_2PI_0->SetBinContent(27,0.0); - S43_DPHI_0_2PI_0->SetBinContent(28,0.0); - S43_DPHI_0_2PI_0->SetBinContent(29,0.0); - S43_DPHI_0_2PI_0->SetBinContent(30,0.0); - S43_DPHI_0_2PI_0->SetBinContent(31,0.0); - S43_DPHI_0_2PI_0->SetBinContent(32,0.0); - S43_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow - S43_DPHI_0_2PI_0->SetEntries(0); - // Style - S43_DPHI_0_2PI_0->SetLineColor(9); - S43_DPHI_0_2PI_0->SetLineStyle(1); - S43_DPHI_0_2PI_0->SetLineWidth(1); - S43_DPHI_0_2PI_0->SetFillColor(9); - S43_DPHI_0_2PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_86","mystack"); - stack->Add(S43_DPHI_0_2PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ e_{1}, e_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_42.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_42.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_42.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_42.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_42.py deleted file mode 100644 index ec365b65..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_42.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_42(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) - - # Creating weights for histo: y43_DPHI_0_2PI_0 - y43_DPHI_0_2PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y43_DPHI_0_2PI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ e_{1}, e_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y43_DPHI_0_2PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y43_DPHI_0_2PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_42.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_42.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_42.eps') - -# Running! -if __name__ == '__main__': - selection_42() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_43.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_43.C deleted file mode 100644 index 8d783243..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_43.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_43() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo87","canvas_plotflow_tempo87",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S44_PT_0 = new TH1F("S44_PT_0","S44_PT_0",50,0.0,1000.0); - // Content - S44_PT_0->SetBinContent(0,0.0); // underflow - S44_PT_0->SetBinContent(1,1.174035); - S44_PT_0->SetBinContent(2,2.641579); - S44_PT_0->SetBinContent(3,1.7765); - S44_PT_0->SetBinContent(4,1.004109); - S44_PT_0->SetBinContent(5,0.4943306); - S44_PT_0->SetBinContent(6,0.3089566); - S44_PT_0->SetBinContent(7,0.09268698); - S44_PT_0->SetBinContent(8,0.01544783); - S44_PT_0->SetBinContent(9,0.04634349); - S44_PT_0->SetBinContent(10,0.03089566); - S44_PT_0->SetBinContent(11,0.03089566); - S44_PT_0->SetBinContent(12,0.01544783); - S44_PT_0->SetBinContent(13,0.0); - S44_PT_0->SetBinContent(14,0.0); - S44_PT_0->SetBinContent(15,0.0); - S44_PT_0->SetBinContent(16,0.0); - S44_PT_0->SetBinContent(17,0.0); - S44_PT_0->SetBinContent(18,0.0); - S44_PT_0->SetBinContent(19,0.0); - S44_PT_0->SetBinContent(20,0.0); - S44_PT_0->SetBinContent(21,0.0); - S44_PT_0->SetBinContent(22,0.0); - S44_PT_0->SetBinContent(23,0.0); - S44_PT_0->SetBinContent(24,0.0); - S44_PT_0->SetBinContent(25,0.0); - S44_PT_0->SetBinContent(26,0.0); - S44_PT_0->SetBinContent(27,0.0); - S44_PT_0->SetBinContent(28,0.0); - S44_PT_0->SetBinContent(29,0.0); - S44_PT_0->SetBinContent(30,0.0); - S44_PT_0->SetBinContent(31,0.0); - S44_PT_0->SetBinContent(32,0.0); - S44_PT_0->SetBinContent(33,0.0); - S44_PT_0->SetBinContent(34,0.0); - S44_PT_0->SetBinContent(35,0.0); - S44_PT_0->SetBinContent(36,0.0); - S44_PT_0->SetBinContent(37,0.0); - S44_PT_0->SetBinContent(38,0.0); - S44_PT_0->SetBinContent(39,0.0); - S44_PT_0->SetBinContent(40,0.0); - S44_PT_0->SetBinContent(41,0.0); - S44_PT_0->SetBinContent(42,0.0); - S44_PT_0->SetBinContent(43,0.0); - S44_PT_0->SetBinContent(44,0.0); - S44_PT_0->SetBinContent(45,0.0); - S44_PT_0->SetBinContent(46,0.0); - S44_PT_0->SetBinContent(47,0.0); - S44_PT_0->SetBinContent(48,0.0); - S44_PT_0->SetBinContent(49,0.0); - S44_PT_0->SetBinContent(50,0.0); - S44_PT_0->SetBinContent(51,0.0); // overflow - S44_PT_0->SetEntries(494); - // Style - S44_PT_0->SetLineColor(9); - S44_PT_0->SetLineStyle(1); - S44_PT_0->SetLineWidth(1); - S44_PT_0->SetFillColor(9); - S44_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_88","mystack"); - stack->Add(S44_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ mu ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_43.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_43.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_43.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_43.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_43.py deleted file mode 100644 index b1cab8bf..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_43.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_43(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y44_PT_0 - y44_PT_0_weights = numpy.array([1.174035,2.641579,1.7765,1.004109,0.4943306,0.3089566,0.09268698,0.01544783,0.04634349,0.03089566,0.03089566,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y44_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ mu ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y44_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y44_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_43.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_43.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_43.eps') - -# Running! -if __name__ == '__main__': - selection_43() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_44.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_44.C deleted file mode 100644 index 86e761af..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_44.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_44() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo89","canvas_plotflow_tempo89",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S45_ETA_0 = new TH1F("S45_ETA_0","S45_ETA_0",50,-8.0,8.0); - // Content - S45_ETA_0->SetBinContent(0,0.0); // underflow - S45_ETA_0->SetBinContent(1,0.0); - S45_ETA_0->SetBinContent(2,0.0); - S45_ETA_0->SetBinContent(3,0.0); - S45_ETA_0->SetBinContent(4,0.0); - S45_ETA_0->SetBinContent(5,0.0); - S45_ETA_0->SetBinContent(6,0.0); - S45_ETA_0->SetBinContent(7,0.0); - S45_ETA_0->SetBinContent(8,0.0); - S45_ETA_0->SetBinContent(9,0.0); - S45_ETA_0->SetBinContent(10,0.0); - S45_ETA_0->SetBinContent(11,0.0); - S45_ETA_0->SetBinContent(12,0.0); - S45_ETA_0->SetBinContent(13,0.0); - S45_ETA_0->SetBinContent(14,0.0); - S45_ETA_0->SetBinContent(15,0.0); - S45_ETA_0->SetBinContent(16,0.0); - S45_ETA_0->SetBinContent(17,0.0); - S45_ETA_0->SetBinContent(18,0.1081348); - S45_ETA_0->SetBinContent(19,0.2935088); - S45_ETA_0->SetBinContent(20,0.3089566); - S45_ETA_0->SetBinContent(21,0.4170914); - S45_ETA_0->SetBinContent(22,0.4788827); - S45_ETA_0->SetBinContent(23,0.6024654); - S45_ETA_0->SetBinContent(24,0.726048); - S45_ETA_0->SetBinContent(25,0.6179132); - S45_ETA_0->SetBinContent(26,0.8959741); - S45_ETA_0->SetBinContent(27,0.726048); - S45_ETA_0->SetBinContent(28,0.6797045); - S45_ETA_0->SetBinContent(29,0.6488089); - S45_ETA_0->SetBinContent(30,0.4479871); - S45_ETA_0->SetBinContent(31,0.3707479); - S45_ETA_0->SetBinContent(32,0.185374); - S45_ETA_0->SetBinContent(33,0.1235826); - S45_ETA_0->SetBinContent(34,0.0); - S45_ETA_0->SetBinContent(35,0.0); - S45_ETA_0->SetBinContent(36,0.0); - S45_ETA_0->SetBinContent(37,0.0); - S45_ETA_0->SetBinContent(38,0.0); - S45_ETA_0->SetBinContent(39,0.0); - S45_ETA_0->SetBinContent(40,0.0); - S45_ETA_0->SetBinContent(41,0.0); - S45_ETA_0->SetBinContent(42,0.0); - S45_ETA_0->SetBinContent(43,0.0); - S45_ETA_0->SetBinContent(44,0.0); - S45_ETA_0->SetBinContent(45,0.0); - S45_ETA_0->SetBinContent(46,0.0); - S45_ETA_0->SetBinContent(47,0.0); - S45_ETA_0->SetBinContent(48,0.0); - S45_ETA_0->SetBinContent(49,0.0); - S45_ETA_0->SetBinContent(50,0.0); - S45_ETA_0->SetBinContent(51,0.0); // overflow - S45_ETA_0->SetEntries(494); - // Style - S45_ETA_0->SetLineColor(9); - S45_ETA_0->SetLineStyle(1); - S45_ETA_0->SetLineWidth(1); - S45_ETA_0->SetFillColor(9); - S45_ETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_90","mystack"); - stack->Add(S45_ETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#eta [ mu ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_44.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_44.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_44.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_44.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_44.py deleted file mode 100644 index df8ed2c5..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_44.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_44(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y45_ETA_0 - y45_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1081348,0.2935088,0.3089566,0.4170914,0.4788827,0.6024654,0.726048,0.6179132,0.8959741,0.726048,0.6797045,0.6488089,0.4479871,0.3707479,0.185374,0.1235826,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y45_ETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\eta$ $[ mu ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y45_ETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y45_ETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_44.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_44.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_44.eps') - -# Running! -if __name__ == '__main__': - selection_44() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_45.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_45.C deleted file mode 100644 index 01c119de..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_45.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_45() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo91","canvas_plotflow_tempo91",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S46_ABSETA_0 = new TH1F("S46_ABSETA_0","S46_ABSETA_0",50,0.0,8.0); - // Content - S46_ABSETA_0->SetBinContent(0,0.0); // underflow - S46_ABSETA_0->SetBinContent(1,0.7878393); - S46_ABSETA_0->SetBinContent(2,0.726048); - S46_ABSETA_0->SetBinContent(3,0.7414958); - S46_ABSETA_0->SetBinContent(4,0.7106002); - S46_ABSETA_0->SetBinContent(5,0.6642567); - S46_ABSETA_0->SetBinContent(6,0.6179132); - S46_ABSETA_0->SetBinContent(7,0.633361); - S46_ABSETA_0->SetBinContent(8,0.4943306); - S46_ABSETA_0->SetBinContent(9,0.4788827); - S46_ABSETA_0->SetBinContent(10,0.3861957); - S46_ABSETA_0->SetBinContent(11,0.4325392); - S46_ABSETA_0->SetBinContent(12,0.2471653); - S46_ABSETA_0->SetBinContent(13,0.3244044); - S46_ABSETA_0->SetBinContent(14,0.1544783); - S46_ABSETA_0->SetBinContent(15,0.1235826); - S46_ABSETA_0->SetBinContent(16,0.1081348); - S46_ABSETA_0->SetBinContent(17,0.0); - S46_ABSETA_0->SetBinContent(18,0.0); - S46_ABSETA_0->SetBinContent(19,0.0); - S46_ABSETA_0->SetBinContent(20,0.0); - S46_ABSETA_0->SetBinContent(21,0.0); - S46_ABSETA_0->SetBinContent(22,0.0); - S46_ABSETA_0->SetBinContent(23,0.0); - S46_ABSETA_0->SetBinContent(24,0.0); - S46_ABSETA_0->SetBinContent(25,0.0); - S46_ABSETA_0->SetBinContent(26,0.0); - S46_ABSETA_0->SetBinContent(27,0.0); - S46_ABSETA_0->SetBinContent(28,0.0); - S46_ABSETA_0->SetBinContent(29,0.0); - S46_ABSETA_0->SetBinContent(30,0.0); - S46_ABSETA_0->SetBinContent(31,0.0); - S46_ABSETA_0->SetBinContent(32,0.0); - S46_ABSETA_0->SetBinContent(33,0.0); - S46_ABSETA_0->SetBinContent(34,0.0); - S46_ABSETA_0->SetBinContent(35,0.0); - S46_ABSETA_0->SetBinContent(36,0.0); - S46_ABSETA_0->SetBinContent(37,0.0); - S46_ABSETA_0->SetBinContent(38,0.0); - S46_ABSETA_0->SetBinContent(39,0.0); - S46_ABSETA_0->SetBinContent(40,0.0); - S46_ABSETA_0->SetBinContent(41,0.0); - S46_ABSETA_0->SetBinContent(42,0.0); - S46_ABSETA_0->SetBinContent(43,0.0); - S46_ABSETA_0->SetBinContent(44,0.0); - S46_ABSETA_0->SetBinContent(45,0.0); - S46_ABSETA_0->SetBinContent(46,0.0); - S46_ABSETA_0->SetBinContent(47,0.0); - S46_ABSETA_0->SetBinContent(48,0.0); - S46_ABSETA_0->SetBinContent(49,0.0); - S46_ABSETA_0->SetBinContent(50,0.0); - S46_ABSETA_0->SetBinContent(51,0.0); // overflow - S46_ABSETA_0->SetEntries(494); - // Style - S46_ABSETA_0->SetLineColor(9); - S46_ABSETA_0->SetLineStyle(1); - S46_ABSETA_0->SetLineWidth(1); - S46_ABSETA_0->SetFillColor(9); - S46_ABSETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_92","mystack"); - stack->Add(S46_ABSETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("|#eta| [ mu ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_45.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_45.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_45.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_45.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_45.py deleted file mode 100644 index a515dfb2..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_45.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_45(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.08,0.24,0.4,0.56,0.72,0.88,1.04,1.2,1.36,1.52,1.68,1.84,2.0,2.16,2.32,2.48,2.64,2.8000000000000003,2.96,3.12,3.2800000000000002,3.44,3.6,3.7600000000000002,3.92,4.08,4.24,4.4,4.5600000000000005,4.72,4.88,5.04,5.2,5.36,5.5200000000000005,5.68,5.84,6.0,6.16,6.32,6.48,6.640000000000001,6.8,6.96,7.12,7.28,7.44,7.6000000000000005,7.76,7.92]) - - # Creating weights for histo: y46_ABSETA_0 - y46_ABSETA_0_weights = numpy.array([0.7878393,0.726048,0.7414958,0.7106002,0.6642567,0.6179132,0.633361,0.4943306,0.4788827,0.3861957,0.4325392,0.2471653,0.3244044,0.1544783,0.1235826,0.1081348,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y46_ABSETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$|\eta|$ $[ mu ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y46_ABSETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y46_ABSETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_45.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_45.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_45.eps') - -# Running! -if __name__ == '__main__': - selection_45() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_46.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_46.C deleted file mode 100644 index 20673149..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_46.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_46() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo93","canvas_plotflow_tempo93",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S47_PHI_0 = new TH1F("S47_PHI_0","S47_PHI_0",32,-3.2,3.2); - // Content - S47_PHI_0->SetBinContent(0,0.0); // underflow - S47_PHI_0->SetBinContent(1,0.2162696); - S47_PHI_0->SetBinContent(2,0.2317174); - S47_PHI_0->SetBinContent(3,0.2317174); - S47_PHI_0->SetBinContent(4,0.2935088); - S47_PHI_0->SetBinContent(5,0.2008218); - S47_PHI_0->SetBinContent(6,0.3553001); - S47_PHI_0->SetBinContent(7,0.185374); - S47_PHI_0->SetBinContent(8,0.2317174); - S47_PHI_0->SetBinContent(9,0.2317174); - S47_PHI_0->SetBinContent(10,0.2935088); - S47_PHI_0->SetBinContent(11,0.2626131); - S47_PHI_0->SetBinContent(12,0.2471653); - S47_PHI_0->SetBinContent(13,0.2935088); - S47_PHI_0->SetBinContent(14,0.2317174); - S47_PHI_0->SetBinContent(15,0.2162696); - S47_PHI_0->SetBinContent(16,0.1390305); - S47_PHI_0->SetBinContent(17,0.3089566); - S47_PHI_0->SetBinContent(18,0.3707479); - S47_PHI_0->SetBinContent(19,0.2780609); - S47_PHI_0->SetBinContent(20,0.3089566); - S47_PHI_0->SetBinContent(21,0.2008218); - S47_PHI_0->SetBinContent(22,0.1544783); - S47_PHI_0->SetBinContent(23,0.185374); - S47_PHI_0->SetBinContent(24,0.2008218); - S47_PHI_0->SetBinContent(25,0.2317174); - S47_PHI_0->SetBinContent(26,0.2780609); - S47_PHI_0->SetBinContent(27,0.2162696); - S47_PHI_0->SetBinContent(28,0.185374); - S47_PHI_0->SetBinContent(29,0.2162696); - S47_PHI_0->SetBinContent(30,0.1699261); - S47_PHI_0->SetBinContent(31,0.2780609); - S47_PHI_0->SetBinContent(32,0.185374); - S47_PHI_0->SetBinContent(33,0.0); // overflow - S47_PHI_0->SetEntries(494); - // Style - S47_PHI_0->SetLineColor(9); - S47_PHI_0->SetLineStyle(1); - S47_PHI_0->SetLineWidth(1); - S47_PHI_0->SetFillColor(9); - S47_PHI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_94","mystack"); - stack->Add(S47_PHI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#phi [ mu ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_46.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_46.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_46.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_46.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_46.py deleted file mode 100644 index b1e9c030..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_46.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_46(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) - - # Creating weights for histo: y47_PHI_0 - y47_PHI_0_weights = numpy.array([0.2162696,0.2317174,0.2317174,0.2935088,0.2008218,0.3553001,0.185374,0.2317174,0.2317174,0.2935088,0.2626131,0.2471653,0.2935088,0.2317174,0.2162696,0.1390305,0.3089566,0.3707479,0.2780609,0.3089566,0.2008218,0.1544783,0.185374,0.2008218,0.2317174,0.2780609,0.2162696,0.185374,0.2162696,0.1699261,0.2780609,0.185374]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y47_PHI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\phi$ $[ mu ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y47_PHI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y47_PHI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_46.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_46.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_46.eps') - -# Running! -if __name__ == '__main__': - selection_46() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_47.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_47.C deleted file mode 100644 index 6cb02ae4..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_47.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_47() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo95","canvas_plotflow_tempo95",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S48_E_0 = new TH1F("S48_E_0","S48_E_0",50,0.0,2000.0); - // Content - S48_E_0->SetBinContent(0,0.0); // underflow - S48_E_0->SetBinContent(1,2.193592); - S48_E_0->SetBinContent(2,2.70337); - S48_E_0->SetBinContent(3,1.174035); - S48_E_0->SetBinContent(4,0.5870175); - S48_E_0->SetBinContent(5,0.3707479); - S48_E_0->SetBinContent(6,0.3089566); - S48_E_0->SetBinContent(7,0.1235826); - S48_E_0->SetBinContent(8,0.1081348); - S48_E_0->SetBinContent(9,0.01544783); - S48_E_0->SetBinContent(10,0.01544783); - S48_E_0->SetBinContent(11,0.01544783); - S48_E_0->SetBinContent(12,0.0); - S48_E_0->SetBinContent(13,0.0); - S48_E_0->SetBinContent(14,0.0); - S48_E_0->SetBinContent(15,0.01544783); - S48_E_0->SetBinContent(16,0.0); - S48_E_0->SetBinContent(17,0.0); - S48_E_0->SetBinContent(18,0.0); - S48_E_0->SetBinContent(19,0.0); - S48_E_0->SetBinContent(20,0.0); - S48_E_0->SetBinContent(21,0.0); - S48_E_0->SetBinContent(22,0.0); - S48_E_0->SetBinContent(23,0.0); - S48_E_0->SetBinContent(24,0.0); - S48_E_0->SetBinContent(25,0.0); - S48_E_0->SetBinContent(26,0.0); - S48_E_0->SetBinContent(27,0.0); - S48_E_0->SetBinContent(28,0.0); - S48_E_0->SetBinContent(29,0.0); - S48_E_0->SetBinContent(30,0.0); - S48_E_0->SetBinContent(31,0.0); - S48_E_0->SetBinContent(32,0.0); - S48_E_0->SetBinContent(33,0.0); - S48_E_0->SetBinContent(34,0.0); - S48_E_0->SetBinContent(35,0.0); - S48_E_0->SetBinContent(36,0.0); - S48_E_0->SetBinContent(37,0.0); - S48_E_0->SetBinContent(38,0.0); - S48_E_0->SetBinContent(39,0.0); - S48_E_0->SetBinContent(40,0.0); - S48_E_0->SetBinContent(41,0.0); - S48_E_0->SetBinContent(42,0.0); - S48_E_0->SetBinContent(43,0.0); - S48_E_0->SetBinContent(44,0.0); - S48_E_0->SetBinContent(45,0.0); - S48_E_0->SetBinContent(46,0.0); - S48_E_0->SetBinContent(47,0.0); - S48_E_0->SetBinContent(48,0.0); - S48_E_0->SetBinContent(49,0.0); - S48_E_0->SetBinContent(50,0.0); - S48_E_0->SetBinContent(51,0.0); // overflow - S48_E_0->SetEntries(494); - // Style - S48_E_0->SetLineColor(9); - S48_E_0->SetLineStyle(1); - S48_E_0->SetLineWidth(1); - S48_E_0->SetFillColor(9); - S48_E_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_96","mystack"); - stack->Add(S48_E_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E [ mu ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_47.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_47.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_47.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_47.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_47.py deleted file mode 100644 index cd610312..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_47.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_47(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y48_E_0 - y48_E_0_weights = numpy.array([2.193592,2.70337,1.174035,0.5870175,0.3707479,0.3089566,0.1235826,0.1081348,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y48_E_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E$ $[ mu ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y48_E_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y48_E_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_47.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_47.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_47.eps') - -# Running! -if __name__ == '__main__': - selection_47() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_48.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_48.C deleted file mode 100644 index 2c2e1c79..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_48.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_48() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo97","canvas_plotflow_tempo97",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S49_ET_0 = new TH1F("S49_ET_0","S49_ET_0",50,0.0,2000.0); - // Content - S49_ET_0->SetBinContent(0,0.0); // underflow - S49_ET_0->SetBinContent(1,3.815614); - S49_ET_0->SetBinContent(2,2.780609); - S49_ET_0->SetBinContent(3,0.8032872); - S49_ET_0->SetBinContent(4,0.1081348); - S49_ET_0->SetBinContent(5,0.07723915); - S49_ET_0->SetBinContent(6,0.04634349); - S49_ET_0->SetBinContent(7,0.0); - S49_ET_0->SetBinContent(8,0.0); - S49_ET_0->SetBinContent(9,0.0); - S49_ET_0->SetBinContent(10,0.0); - S49_ET_0->SetBinContent(11,0.0); - S49_ET_0->SetBinContent(12,0.0); - S49_ET_0->SetBinContent(13,0.0); - S49_ET_0->SetBinContent(14,0.0); - S49_ET_0->SetBinContent(15,0.0); - S49_ET_0->SetBinContent(16,0.0); - S49_ET_0->SetBinContent(17,0.0); - S49_ET_0->SetBinContent(18,0.0); - S49_ET_0->SetBinContent(19,0.0); - S49_ET_0->SetBinContent(20,0.0); - S49_ET_0->SetBinContent(21,0.0); - S49_ET_0->SetBinContent(22,0.0); - S49_ET_0->SetBinContent(23,0.0); - S49_ET_0->SetBinContent(24,0.0); - S49_ET_0->SetBinContent(25,0.0); - S49_ET_0->SetBinContent(26,0.0); - S49_ET_0->SetBinContent(27,0.0); - S49_ET_0->SetBinContent(28,0.0); - S49_ET_0->SetBinContent(29,0.0); - S49_ET_0->SetBinContent(30,0.0); - S49_ET_0->SetBinContent(31,0.0); - S49_ET_0->SetBinContent(32,0.0); - S49_ET_0->SetBinContent(33,0.0); - S49_ET_0->SetBinContent(34,0.0); - S49_ET_0->SetBinContent(35,0.0); - S49_ET_0->SetBinContent(36,0.0); - S49_ET_0->SetBinContent(37,0.0); - S49_ET_0->SetBinContent(38,0.0); - S49_ET_0->SetBinContent(39,0.0); - S49_ET_0->SetBinContent(40,0.0); - S49_ET_0->SetBinContent(41,0.0); - S49_ET_0->SetBinContent(42,0.0); - S49_ET_0->SetBinContent(43,0.0); - S49_ET_0->SetBinContent(44,0.0); - S49_ET_0->SetBinContent(45,0.0); - S49_ET_0->SetBinContent(46,0.0); - S49_ET_0->SetBinContent(47,0.0); - S49_ET_0->SetBinContent(48,0.0); - S49_ET_0->SetBinContent(49,0.0); - S49_ET_0->SetBinContent(50,0.0); - S49_ET_0->SetBinContent(51,0.0); // overflow - S49_ET_0->SetEntries(494); - // Style - S49_ET_0->SetLineColor(9); - S49_ET_0->SetLineStyle(1); - S49_ET_0->SetLineWidth(1); - S49_ET_0->SetFillColor(9); - S49_ET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_98","mystack"); - stack->Add(S49_ET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E_{T} [ mu ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_48.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_48.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_48.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_48.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_48.py deleted file mode 100644 index 6845a932..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_48.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_48(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y49_ET_0 - y49_ET_0_weights = numpy.array([3.815614,2.780609,0.8032872,0.1081348,0.07723915,0.04634349,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y49_ET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E_{T}$ $[ mu ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y49_ET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y49_ET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_48.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_48.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_48.eps') - -# Running! -if __name__ == '__main__': - selection_48() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_49.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_49.C deleted file mode 100644 index 90c5cb4c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_49.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_49() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo99","canvas_plotflow_tempo99",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S50_M_0 = new TH1F("S50_M_0","S50_M_0",50,0.0,20.0); - // Content - S50_M_0->SetBinContent(0,3.63024); // underflow - S50_M_0->SetBinContent(1,4.000988); - S50_M_0->SetBinContent(2,0.0); - S50_M_0->SetBinContent(3,0.0); - S50_M_0->SetBinContent(4,0.0); - S50_M_0->SetBinContent(5,0.0); - S50_M_0->SetBinContent(6,0.0); - S50_M_0->SetBinContent(7,0.0); - S50_M_0->SetBinContent(8,0.0); - S50_M_0->SetBinContent(9,0.0); - S50_M_0->SetBinContent(10,0.0); - S50_M_0->SetBinContent(11,0.0); - S50_M_0->SetBinContent(12,0.0); - S50_M_0->SetBinContent(13,0.0); - S50_M_0->SetBinContent(14,0.0); - S50_M_0->SetBinContent(15,0.0); - S50_M_0->SetBinContent(16,0.0); - S50_M_0->SetBinContent(17,0.0); - S50_M_0->SetBinContent(18,0.0); - S50_M_0->SetBinContent(19,0.0); - S50_M_0->SetBinContent(20,0.0); - S50_M_0->SetBinContent(21,0.0); - S50_M_0->SetBinContent(22,0.0); - S50_M_0->SetBinContent(23,0.0); - S50_M_0->SetBinContent(24,0.0); - S50_M_0->SetBinContent(25,0.0); - S50_M_0->SetBinContent(26,0.0); - S50_M_0->SetBinContent(27,0.0); - S50_M_0->SetBinContent(28,0.0); - S50_M_0->SetBinContent(29,0.0); - S50_M_0->SetBinContent(30,0.0); - S50_M_0->SetBinContent(31,0.0); - S50_M_0->SetBinContent(32,0.0); - S50_M_0->SetBinContent(33,0.0); - S50_M_0->SetBinContent(34,0.0); - S50_M_0->SetBinContent(35,0.0); - S50_M_0->SetBinContent(36,0.0); - S50_M_0->SetBinContent(37,0.0); - S50_M_0->SetBinContent(38,0.0); - S50_M_0->SetBinContent(39,0.0); - S50_M_0->SetBinContent(40,0.0); - S50_M_0->SetBinContent(41,0.0); - S50_M_0->SetBinContent(42,0.0); - S50_M_0->SetBinContent(43,0.0); - S50_M_0->SetBinContent(44,0.0); - S50_M_0->SetBinContent(45,0.0); - S50_M_0->SetBinContent(46,0.0); - S50_M_0->SetBinContent(47,0.0); - S50_M_0->SetBinContent(48,0.0); - S50_M_0->SetBinContent(49,0.0); - S50_M_0->SetBinContent(50,0.0); - S50_M_0->SetBinContent(51,0.0); // overflow - S50_M_0->SetEntries(494); - // Style - S50_M_0->SetLineColor(9); - S50_M_0->SetLineStyle(1); - S50_M_0->SetLineWidth(1); - S50_M_0->SetFillColor(9); - S50_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_100","mystack"); - stack->Add(S50_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ mu ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_49.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_49.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_49.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_49.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_49.py deleted file mode 100644 index 362f8dda..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_49.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_49(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,20.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.2,0.6000000000000001,1.0,1.4000000000000001,1.8,2.2,2.6,3.0,3.4000000000000004,3.8000000000000003,4.2,4.6000000000000005,5.0,5.4,5.800000000000001,6.2,6.6000000000000005,7.0,7.4,7.800000000000001,8.200000000000001,8.6,9.0,9.4,9.8,10.200000000000001,10.600000000000001,11.0,11.4,11.8,12.200000000000001,12.600000000000001,13.0,13.4,13.8,14.200000000000001,14.600000000000001,15.0,15.4,15.8,16.2,16.6,17.0,17.400000000000002,17.8,18.2,18.6,19.0,19.400000000000002,19.8]) - - # Creating weights for histo: y50_M_0 - y50_M_0_weights = numpy.array([4.000988,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y50_M_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ mu ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y50_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y50_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_49.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_49.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_49.eps') - -# Running! -if __name__ == '__main__': - selection_49() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_5.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_5.C deleted file mode 100644 index a0be26ab..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_5.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_5() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo11","canvas_plotflow_tempo11",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S6_THT_0 = new TH1F("S6_THT_0","S6_THT_0",50,0.0,5000.0); - // Content - S6_THT_0->SetBinContent(0,0.0); // underflow - S6_THT_0->SetBinContent(1,0.0); - S6_THT_0->SetBinContent(2,3.012327); - S6_THT_0->SetBinContent(3,9.160563); - S6_THT_0->SetBinContent(4,2.394414); - S6_THT_0->SetBinContent(5,0.5870175); - S6_THT_0->SetBinContent(6,0.1699261); - S6_THT_0->SetBinContent(7,0.09268698); - S6_THT_0->SetBinContent(8,0.03089566); - S6_THT_0->SetBinContent(9,0.0); - S6_THT_0->SetBinContent(10,0.0); - S6_THT_0->SetBinContent(11,0.0); - S6_THT_0->SetBinContent(12,0.0); - S6_THT_0->SetBinContent(13,0.0); - S6_THT_0->SetBinContent(14,0.0); - S6_THT_0->SetBinContent(15,0.0); - S6_THT_0->SetBinContent(16,0.0); - S6_THT_0->SetBinContent(17,0.0); - S6_THT_0->SetBinContent(18,0.0); - S6_THT_0->SetBinContent(19,0.0); - S6_THT_0->SetBinContent(20,0.0); - S6_THT_0->SetBinContent(21,0.0); - S6_THT_0->SetBinContent(22,0.0); - S6_THT_0->SetBinContent(23,0.0); - S6_THT_0->SetBinContent(24,0.0); - S6_THT_0->SetBinContent(25,0.0); - S6_THT_0->SetBinContent(26,0.0); - S6_THT_0->SetBinContent(27,0.0); - S6_THT_0->SetBinContent(28,0.0); - S6_THT_0->SetBinContent(29,0.0); - S6_THT_0->SetBinContent(30,0.0); - S6_THT_0->SetBinContent(31,0.0); - S6_THT_0->SetBinContent(32,0.0); - S6_THT_0->SetBinContent(33,0.0); - S6_THT_0->SetBinContent(34,0.0); - S6_THT_0->SetBinContent(35,0.0); - S6_THT_0->SetBinContent(36,0.0); - S6_THT_0->SetBinContent(37,0.0); - S6_THT_0->SetBinContent(38,0.0); - S6_THT_0->SetBinContent(39,0.0); - S6_THT_0->SetBinContent(40,0.0); - S6_THT_0->SetBinContent(41,0.0); - S6_THT_0->SetBinContent(42,0.0); - S6_THT_0->SetBinContent(43,0.0); - S6_THT_0->SetBinContent(44,0.0); - S6_THT_0->SetBinContent(45,0.0); - S6_THT_0->SetBinContent(46,0.0); - S6_THT_0->SetBinContent(47,0.0); - S6_THT_0->SetBinContent(48,0.0); - S6_THT_0->SetBinContent(49,0.0); - S6_THT_0->SetBinContent(50,0.0); - S6_THT_0->SetBinContent(51,0.0); // overflow - S6_THT_0->SetEntries(1000); - // Style - S6_THT_0->SetLineColor(9); - S6_THT_0->SetLineStyle(1); - S6_THT_0->SetLineWidth(1); - S6_THT_0->SetFillColor(9); - S6_THT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_12","mystack"); - stack->Add(S6_THT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("H_{T} (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_5.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_5.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_5.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_5.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_5.py deleted file mode 100644 index e68ed610..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_5.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_5(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,5000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([50.0,150.0,250.0,350.0,450.0,550.0,650.0,750.0,850.0,950.0,1050.0,1150.0,1250.0,1350.0,1450.0,1550.0,1650.0,1750.0,1850.0,1950.0,2050.0,2150.0,2250.0,2350.0,2450.0,2550.0,2650.0,2750.0,2850.0,2950.0,3050.0,3150.0,3250.0,3350.0,3450.0,3550.0,3650.0,3750.0,3850.0,3950.0,4050.0,4150.0,4250.0,4350.0,4450.0,4550.0,4650.0,4750.0,4850.0,4950.0]) - - # Creating weights for histo: y6_THT_0 - y6_THT_0_weights = numpy.array([0.0,3.012327,9.160563,2.394414,0.5870175,0.1699261,0.09268698,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y6_THT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$H_{T}$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y6_THT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y6_THT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_5.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_5.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_5.eps') - -# Running! -if __name__ == '__main__': - selection_5() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_50.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_50.C deleted file mode 100644 index 265cdc1d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_50.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_50() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo101","canvas_plotflow_tempo101",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S51_MT_0 = new TH1F("S51_MT_0","S51_MT_0",50,0.0,1000.0); - // Content - S51_MT_0->SetBinContent(0,0.0); // underflow - S51_MT_0->SetBinContent(1,7.631228); - S51_MT_0->SetBinContent(2,0.0); - S51_MT_0->SetBinContent(3,0.0); - S51_MT_0->SetBinContent(4,0.0); - S51_MT_0->SetBinContent(5,0.0); - S51_MT_0->SetBinContent(6,0.0); - S51_MT_0->SetBinContent(7,0.0); - S51_MT_0->SetBinContent(8,0.0); - S51_MT_0->SetBinContent(9,0.0); - S51_MT_0->SetBinContent(10,0.0); - S51_MT_0->SetBinContent(11,0.0); - S51_MT_0->SetBinContent(12,0.0); - S51_MT_0->SetBinContent(13,0.0); - S51_MT_0->SetBinContent(14,0.0); - S51_MT_0->SetBinContent(15,0.0); - S51_MT_0->SetBinContent(16,0.0); - S51_MT_0->SetBinContent(17,0.0); - S51_MT_0->SetBinContent(18,0.0); - S51_MT_0->SetBinContent(19,0.0); - S51_MT_0->SetBinContent(20,0.0); - S51_MT_0->SetBinContent(21,0.0); - S51_MT_0->SetBinContent(22,0.0); - S51_MT_0->SetBinContent(23,0.0); - S51_MT_0->SetBinContent(24,0.0); - S51_MT_0->SetBinContent(25,0.0); - S51_MT_0->SetBinContent(26,0.0); - S51_MT_0->SetBinContent(27,0.0); - S51_MT_0->SetBinContent(28,0.0); - S51_MT_0->SetBinContent(29,0.0); - S51_MT_0->SetBinContent(30,0.0); - S51_MT_0->SetBinContent(31,0.0); - S51_MT_0->SetBinContent(32,0.0); - S51_MT_0->SetBinContent(33,0.0); - S51_MT_0->SetBinContent(34,0.0); - S51_MT_0->SetBinContent(35,0.0); - S51_MT_0->SetBinContent(36,0.0); - S51_MT_0->SetBinContent(37,0.0); - S51_MT_0->SetBinContent(38,0.0); - S51_MT_0->SetBinContent(39,0.0); - S51_MT_0->SetBinContent(40,0.0); - S51_MT_0->SetBinContent(41,0.0); - S51_MT_0->SetBinContent(42,0.0); - S51_MT_0->SetBinContent(43,0.0); - S51_MT_0->SetBinContent(44,0.0); - S51_MT_0->SetBinContent(45,0.0); - S51_MT_0->SetBinContent(46,0.0); - S51_MT_0->SetBinContent(47,0.0); - S51_MT_0->SetBinContent(48,0.0); - S51_MT_0->SetBinContent(49,0.0); - S51_MT_0->SetBinContent(50,0.0); - S51_MT_0->SetBinContent(51,0.0); // overflow - S51_MT_0->SetEntries(494); - // Style - S51_MT_0->SetLineColor(9); - S51_MT_0->SetLineStyle(1); - S51_MT_0->SetLineWidth(1); - S51_MT_0->SetFillColor(9); - S51_MT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_102","mystack"); - stack->Add(S51_MT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ mu ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_50.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_50.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_50.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_50.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_50.py deleted file mode 100644 index 0b05acbf..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_50.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_50(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y51_MT_0 - y51_MT_0_weights = numpy.array([7.631228,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y51_MT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ mu ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y51_MT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y51_MT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_50.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_50.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_50.eps') - -# Running! -if __name__ == '__main__': - selection_50() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_51.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_51.C deleted file mode 100644 index 9615b16a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_51.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_51() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo103","canvas_plotflow_tempo103",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S52_MT_MET_0 = new TH1F("S52_MT_MET_0","S52_MT_MET_0",50,0.0,1000.0); - // Content - S52_MT_MET_0->SetBinContent(0,0.0); // underflow - S52_MT_MET_0->SetBinContent(1,0.6024654); - S52_MT_MET_0->SetBinContent(2,0.8805263); - S52_MT_MET_0->SetBinContent(3,1.498439); - S52_MT_MET_0->SetBinContent(4,3.738375); - S52_MT_MET_0->SetBinContent(5,0.8959741); - S52_MT_MET_0->SetBinContent(6,0.01544783); - S52_MT_MET_0->SetBinContent(7,0.0); - S52_MT_MET_0->SetBinContent(8,0.0); - S52_MT_MET_0->SetBinContent(9,0.0); - S52_MT_MET_0->SetBinContent(10,0.0); - S52_MT_MET_0->SetBinContent(11,0.0); - S52_MT_MET_0->SetBinContent(12,0.0); - S52_MT_MET_0->SetBinContent(13,0.0); - S52_MT_MET_0->SetBinContent(14,0.0); - S52_MT_MET_0->SetBinContent(15,0.0); - S52_MT_MET_0->SetBinContent(16,0.0); - S52_MT_MET_0->SetBinContent(17,0.0); - S52_MT_MET_0->SetBinContent(18,0.0); - S52_MT_MET_0->SetBinContent(19,0.0); - S52_MT_MET_0->SetBinContent(20,0.0); - S52_MT_MET_0->SetBinContent(21,0.0); - S52_MT_MET_0->SetBinContent(22,0.0); - S52_MT_MET_0->SetBinContent(23,0.0); - S52_MT_MET_0->SetBinContent(24,0.0); - S52_MT_MET_0->SetBinContent(25,0.0); - S52_MT_MET_0->SetBinContent(26,0.0); - S52_MT_MET_0->SetBinContent(27,0.0); - S52_MT_MET_0->SetBinContent(28,0.0); - S52_MT_MET_0->SetBinContent(29,0.0); - S52_MT_MET_0->SetBinContent(30,0.0); - S52_MT_MET_0->SetBinContent(31,0.0); - S52_MT_MET_0->SetBinContent(32,0.0); - S52_MT_MET_0->SetBinContent(33,0.0); - S52_MT_MET_0->SetBinContent(34,0.0); - S52_MT_MET_0->SetBinContent(35,0.0); - S52_MT_MET_0->SetBinContent(36,0.0); - S52_MT_MET_0->SetBinContent(37,0.0); - S52_MT_MET_0->SetBinContent(38,0.0); - S52_MT_MET_0->SetBinContent(39,0.0); - S52_MT_MET_0->SetBinContent(40,0.0); - S52_MT_MET_0->SetBinContent(41,0.0); - S52_MT_MET_0->SetBinContent(42,0.0); - S52_MT_MET_0->SetBinContent(43,0.0); - S52_MT_MET_0->SetBinContent(44,0.0); - S52_MT_MET_0->SetBinContent(45,0.0); - S52_MT_MET_0->SetBinContent(46,0.0); - S52_MT_MET_0->SetBinContent(47,0.0); - S52_MT_MET_0->SetBinContent(48,0.0); - S52_MT_MET_0->SetBinContent(49,0.0); - S52_MT_MET_0->SetBinContent(50,0.0); - S52_MT_MET_0->SetBinContent(51,0.0); // overflow - S52_MT_MET_0->SetEntries(494); - // Style - S52_MT_MET_0->SetLineColor(9); - S52_MT_MET_0->SetLineStyle(1); - S52_MT_MET_0->SetLineWidth(1); - S52_MT_MET_0->SetFillColor(9); - S52_MT_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_104","mystack"); - stack->Add(S52_MT_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ mu ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_51.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_51.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_51.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_51.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_51.py deleted file mode 100644 index 16ccab0a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_51.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_51(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y52_MT_MET_0 - y52_MT_MET_0_weights = numpy.array([0.6024654,0.8805263,1.498439,3.738375,0.8959741,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y52_MT_MET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ mu ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y52_MT_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y52_MT_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_51.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_51.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_51.eps') - -# Running! -if __name__ == '__main__': - selection_51() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_52.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_52.C deleted file mode 100644 index 60cb2ee4..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_52.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_52() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo105","canvas_plotflow_tempo105",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S53_P_0 = new TH1F("S53_P_0","S53_P_0",50,0.0,2000.0); - // Content - S53_P_0->SetBinContent(0,0.0); // underflow - S53_P_0->SetBinContent(1,2.193592); - S53_P_0->SetBinContent(2,2.70337); - S53_P_0->SetBinContent(3,1.174035); - S53_P_0->SetBinContent(4,0.5870175); - S53_P_0->SetBinContent(5,0.3707479); - S53_P_0->SetBinContent(6,0.3089566); - S53_P_0->SetBinContent(7,0.1235826); - S53_P_0->SetBinContent(8,0.1081348); - S53_P_0->SetBinContent(9,0.01544783); - S53_P_0->SetBinContent(10,0.01544783); - S53_P_0->SetBinContent(11,0.01544783); - S53_P_0->SetBinContent(12,0.0); - S53_P_0->SetBinContent(13,0.0); - S53_P_0->SetBinContent(14,0.0); - S53_P_0->SetBinContent(15,0.01544783); - S53_P_0->SetBinContent(16,0.0); - S53_P_0->SetBinContent(17,0.0); - S53_P_0->SetBinContent(18,0.0); - S53_P_0->SetBinContent(19,0.0); - S53_P_0->SetBinContent(20,0.0); - S53_P_0->SetBinContent(21,0.0); - S53_P_0->SetBinContent(22,0.0); - S53_P_0->SetBinContent(23,0.0); - S53_P_0->SetBinContent(24,0.0); - S53_P_0->SetBinContent(25,0.0); - S53_P_0->SetBinContent(26,0.0); - S53_P_0->SetBinContent(27,0.0); - S53_P_0->SetBinContent(28,0.0); - S53_P_0->SetBinContent(29,0.0); - S53_P_0->SetBinContent(30,0.0); - S53_P_0->SetBinContent(31,0.0); - S53_P_0->SetBinContent(32,0.0); - S53_P_0->SetBinContent(33,0.0); - S53_P_0->SetBinContent(34,0.0); - S53_P_0->SetBinContent(35,0.0); - S53_P_0->SetBinContent(36,0.0); - S53_P_0->SetBinContent(37,0.0); - S53_P_0->SetBinContent(38,0.0); - S53_P_0->SetBinContent(39,0.0); - S53_P_0->SetBinContent(40,0.0); - S53_P_0->SetBinContent(41,0.0); - S53_P_0->SetBinContent(42,0.0); - S53_P_0->SetBinContent(43,0.0); - S53_P_0->SetBinContent(44,0.0); - S53_P_0->SetBinContent(45,0.0); - S53_P_0->SetBinContent(46,0.0); - S53_P_0->SetBinContent(47,0.0); - S53_P_0->SetBinContent(48,0.0); - S53_P_0->SetBinContent(49,0.0); - S53_P_0->SetBinContent(50,0.0); - S53_P_0->SetBinContent(51,0.0); // overflow - S53_P_0->SetEntries(494); - // Style - S53_P_0->SetLineColor(9); - S53_P_0->SetLineStyle(1); - S53_P_0->SetLineWidth(1); - S53_P_0->SetFillColor(9); - S53_P_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_106","mystack"); - stack->Add(S53_P_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p [ mu ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_52.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_52.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_52.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_52.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_52.py deleted file mode 100644 index 60a2b680..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_52.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_52(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y53_P_0 - y53_P_0_weights = numpy.array([2.193592,2.70337,1.174035,0.5870175,0.3707479,0.3089566,0.1235826,0.1081348,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y53_P_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p$ $[ mu ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y53_P_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y53_P_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_52.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_52.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_52.eps') - -# Running! -if __name__ == '__main__': - selection_52() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_53.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_53.C deleted file mode 100644 index 3f91d4a6..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_53.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_53() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo107","canvas_plotflow_tempo107",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S54_PX_0 = new TH1F("S54_PX_0","S54_PX_0",50,-1000.0,1000.0); - // Content - S54_PX_0->SetBinContent(0,0.0); // underflow - S54_PX_0->SetBinContent(1,0.0); - S54_PX_0->SetBinContent(2,0.0); - S54_PX_0->SetBinContent(3,0.0); - S54_PX_0->SetBinContent(4,0.0); - S54_PX_0->SetBinContent(5,0.0); - S54_PX_0->SetBinContent(6,0.0); - S54_PX_0->SetBinContent(7,0.0); - S54_PX_0->SetBinContent(8,0.0); - S54_PX_0->SetBinContent(9,0.0); - S54_PX_0->SetBinContent(10,0.0); - S54_PX_0->SetBinContent(11,0.0); - S54_PX_0->SetBinContent(12,0.0); - S54_PX_0->SetBinContent(13,0.0); - S54_PX_0->SetBinContent(14,0.0); - S54_PX_0->SetBinContent(15,0.0); - S54_PX_0->SetBinContent(16,0.0); - S54_PX_0->SetBinContent(17,0.0); - S54_PX_0->SetBinContent(18,0.0); - S54_PX_0->SetBinContent(19,0.0); - S54_PX_0->SetBinContent(20,0.0); - S54_PX_0->SetBinContent(21,0.03089566); - S54_PX_0->SetBinContent(22,0.0); - S54_PX_0->SetBinContent(23,0.1544783); - S54_PX_0->SetBinContent(24,0.7106002); - S54_PX_0->SetBinContent(25,2.888744); - S54_PX_0->SetBinContent(26,2.718818); - S54_PX_0->SetBinContent(27,0.8805263); - S54_PX_0->SetBinContent(28,0.1699261); - S54_PX_0->SetBinContent(29,0.04634349); - S54_PX_0->SetBinContent(30,0.03089566); - S54_PX_0->SetBinContent(31,0.0); - S54_PX_0->SetBinContent(32,0.0); - S54_PX_0->SetBinContent(33,0.0); - S54_PX_0->SetBinContent(34,0.0); - S54_PX_0->SetBinContent(35,0.0); - S54_PX_0->SetBinContent(36,0.0); - S54_PX_0->SetBinContent(37,0.0); - S54_PX_0->SetBinContent(38,0.0); - S54_PX_0->SetBinContent(39,0.0); - S54_PX_0->SetBinContent(40,0.0); - S54_PX_0->SetBinContent(41,0.0); - S54_PX_0->SetBinContent(42,0.0); - S54_PX_0->SetBinContent(43,0.0); - S54_PX_0->SetBinContent(44,0.0); - S54_PX_0->SetBinContent(45,0.0); - S54_PX_0->SetBinContent(46,0.0); - S54_PX_0->SetBinContent(47,0.0); - S54_PX_0->SetBinContent(48,0.0); - S54_PX_0->SetBinContent(49,0.0); - S54_PX_0->SetBinContent(50,0.0); - S54_PX_0->SetBinContent(51,0.0); // overflow - S54_PX_0->SetEntries(494); - // Style - S54_PX_0->SetLineColor(9); - S54_PX_0->SetLineStyle(1); - S54_PX_0->SetLineWidth(1); - S54_PX_0->SetFillColor(9); - S54_PX_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_108","mystack"); - stack->Add(S54_PX_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{x} [ mu ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_53.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_53.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_53.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_53.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_53.py deleted file mode 100644 index 2d8a050e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_53.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_53(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) - - # Creating weights for histo: y54_PX_0 - y54_PX_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03089566,0.0,0.1544783,0.7106002,2.888744,2.718818,0.8805263,0.1699261,0.04634349,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y54_PX_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{x}$ $[ mu ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y54_PX_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y54_PX_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_53.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_53.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_53.eps') - -# Running! -if __name__ == '__main__': - selection_53() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_54.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_54.C deleted file mode 100644 index 8cadde06..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_54.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_54() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo109","canvas_plotflow_tempo109",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S55_PY_0 = new TH1F("S55_PY_0","S55_PY_0",50,-1000.0,1000.0); - // Content - S55_PY_0->SetBinContent(0,0.0); // underflow - S55_PY_0->SetBinContent(1,0.0); - S55_PY_0->SetBinContent(2,0.0); - S55_PY_0->SetBinContent(3,0.0); - S55_PY_0->SetBinContent(4,0.0); - S55_PY_0->SetBinContent(5,0.0); - S55_PY_0->SetBinContent(6,0.0); - S55_PY_0->SetBinContent(7,0.0); - S55_PY_0->SetBinContent(8,0.0); - S55_PY_0->SetBinContent(9,0.0); - S55_PY_0->SetBinContent(10,0.0); - S55_PY_0->SetBinContent(11,0.0); - S55_PY_0->SetBinContent(12,0.0); - S55_PY_0->SetBinContent(13,0.0); - S55_PY_0->SetBinContent(14,0.0); - S55_PY_0->SetBinContent(15,0.0); - S55_PY_0->SetBinContent(16,0.0); - S55_PY_0->SetBinContent(17,0.0); - S55_PY_0->SetBinContent(18,0.0); - S55_PY_0->SetBinContent(19,0.0); - S55_PY_0->SetBinContent(20,0.01544783); - S55_PY_0->SetBinContent(21,0.0); - S55_PY_0->SetBinContent(22,0.01544783); - S55_PY_0->SetBinContent(23,0.09268698); - S55_PY_0->SetBinContent(24,0.8650785); - S55_PY_0->SetBinContent(25,2.873296); - S55_PY_0->SetBinContent(26,2.796057); - S55_PY_0->SetBinContent(27,0.7878393); - S55_PY_0->SetBinContent(28,0.1081348); - S55_PY_0->SetBinContent(29,0.04634349); - S55_PY_0->SetBinContent(30,0.03089566); - S55_PY_0->SetBinContent(31,0.0); - S55_PY_0->SetBinContent(32,0.0); - S55_PY_0->SetBinContent(33,0.0); - S55_PY_0->SetBinContent(34,0.0); - S55_PY_0->SetBinContent(35,0.0); - S55_PY_0->SetBinContent(36,0.0); - S55_PY_0->SetBinContent(37,0.0); - S55_PY_0->SetBinContent(38,0.0); - S55_PY_0->SetBinContent(39,0.0); - S55_PY_0->SetBinContent(40,0.0); - S55_PY_0->SetBinContent(41,0.0); - S55_PY_0->SetBinContent(42,0.0); - S55_PY_0->SetBinContent(43,0.0); - S55_PY_0->SetBinContent(44,0.0); - S55_PY_0->SetBinContent(45,0.0); - S55_PY_0->SetBinContent(46,0.0); - S55_PY_0->SetBinContent(47,0.0); - S55_PY_0->SetBinContent(48,0.0); - S55_PY_0->SetBinContent(49,0.0); - S55_PY_0->SetBinContent(50,0.0); - S55_PY_0->SetBinContent(51,0.0); // overflow - S55_PY_0->SetEntries(494); - // Style - S55_PY_0->SetLineColor(9); - S55_PY_0->SetLineStyle(1); - S55_PY_0->SetLineWidth(1); - S55_PY_0->SetFillColor(9); - S55_PY_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_110","mystack"); - stack->Add(S55_PY_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{y} [ mu ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_54.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_54.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_54.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_54.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_54.py deleted file mode 100644 index 45604227..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_54.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_54(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) - - # Creating weights for histo: y55_PY_0 - y55_PY_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.01544783,0.09268698,0.8650785,2.873296,2.796057,0.7878393,0.1081348,0.04634349,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y55_PY_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{y}$ $[ mu ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y55_PY_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y55_PY_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_54.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_54.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_54.eps') - -# Running! -if __name__ == '__main__': - selection_54() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_55.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_55.C deleted file mode 100644 index ec6f26e8..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_55.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_55() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo111","canvas_plotflow_tempo111",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S56_PZ_0 = new TH1F("S56_PZ_0","S56_PZ_0",50,-2000.0,2000.0); - // Content - S56_PZ_0->SetBinContent(0,0.0); // underflow - S56_PZ_0->SetBinContent(1,0.0); - S56_PZ_0->SetBinContent(2,0.0); - S56_PZ_0->SetBinContent(3,0.0); - S56_PZ_0->SetBinContent(4,0.0); - S56_PZ_0->SetBinContent(5,0.0); - S56_PZ_0->SetBinContent(6,0.0); - S56_PZ_0->SetBinContent(7,0.0); - S56_PZ_0->SetBinContent(8,0.0); - S56_PZ_0->SetBinContent(9,0.0); - S56_PZ_0->SetBinContent(10,0.0); - S56_PZ_0->SetBinContent(11,0.0); - S56_PZ_0->SetBinContent(12,0.0); - S56_PZ_0->SetBinContent(13,0.0); - S56_PZ_0->SetBinContent(14,0.0); - S56_PZ_0->SetBinContent(15,0.0); - S56_PZ_0->SetBinContent(16,0.0); - S56_PZ_0->SetBinContent(17,0.0); - S56_PZ_0->SetBinContent(18,0.0); - S56_PZ_0->SetBinContent(19,0.01544783); - S56_PZ_0->SetBinContent(20,0.01544783); - S56_PZ_0->SetBinContent(21,0.01544783); - S56_PZ_0->SetBinContent(22,0.06179132); - S56_PZ_0->SetBinContent(23,0.2780609); - S56_PZ_0->SetBinContent(24,0.540674); - S56_PZ_0->SetBinContent(25,2.626131); - S56_PZ_0->SetBinContent(26,3.151357); - S56_PZ_0->SetBinContent(27,0.5561219); - S56_PZ_0->SetBinContent(28,0.2935088); - S56_PZ_0->SetBinContent(29,0.07723915); - S56_PZ_0->SetBinContent(30,0.0); - S56_PZ_0->SetBinContent(31,0.0); - S56_PZ_0->SetBinContent(32,0.0); - S56_PZ_0->SetBinContent(33,0.0); - S56_PZ_0->SetBinContent(34,0.0); - S56_PZ_0->SetBinContent(35,0.0); - S56_PZ_0->SetBinContent(36,0.0); - S56_PZ_0->SetBinContent(37,0.0); - S56_PZ_0->SetBinContent(38,0.0); - S56_PZ_0->SetBinContent(39,0.0); - S56_PZ_0->SetBinContent(40,0.0); - S56_PZ_0->SetBinContent(41,0.0); - S56_PZ_0->SetBinContent(42,0.0); - S56_PZ_0->SetBinContent(43,0.0); - S56_PZ_0->SetBinContent(44,0.0); - S56_PZ_0->SetBinContent(45,0.0); - S56_PZ_0->SetBinContent(46,0.0); - S56_PZ_0->SetBinContent(47,0.0); - S56_PZ_0->SetBinContent(48,0.0); - S56_PZ_0->SetBinContent(49,0.0); - S56_PZ_0->SetBinContent(50,0.0); - S56_PZ_0->SetBinContent(51,0.0); // overflow - S56_PZ_0->SetEntries(494); - // Style - S56_PZ_0->SetLineColor(9); - S56_PZ_0->SetLineStyle(1); - S56_PZ_0->SetLineWidth(1); - S56_PZ_0->SetFillColor(9); - S56_PZ_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_112","mystack"); - stack->Add(S56_PZ_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{z} [ mu ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_55.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_55.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_55.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_55.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_55.py deleted file mode 100644 index 0078a1b8..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_55.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_55(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-2000.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-1960.0,-1880.0,-1800.0,-1720.0,-1640.0,-1560.0,-1480.0,-1400.0,-1320.0,-1240.0,-1160.0,-1080.0,-1000.0,-920.0,-840.0,-760.0,-680.0,-600.0,-520.0,-440.0,-360.0,-280.0,-200.0,-120.0,-40.0,40.0,120.0,200.0,280.0,360.0,440.0,520.0,600.0,680.0,760.0,840.0,920.0,1000.0,1080.0,1160.0,1240.0,1320.0,1400.0,1480.0,1560.0,1640.0,1720.0,1800.0,1880.0,1960.0]) - - # Creating weights for histo: y56_PZ_0 - y56_PZ_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.01544783,0.01544783,0.06179132,0.2780609,0.540674,2.626131,3.151357,0.5561219,0.2935088,0.07723915,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y56_PZ_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{z}$ $[ mu ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y56_PZ_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y56_PZ_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_55.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_55.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_55.eps') - -# Running! -if __name__ == '__main__': - selection_55() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_56.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_56.C deleted file mode 100644 index 40289018..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_56.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_56() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo113","canvas_plotflow_tempo113",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S57_R_0 = new TH1F("S57_R_0","S57_R_0",50,0.0,10.0); - // Content - S57_R_0->SetBinContent(0,0.0); // underflow - S57_R_0->SetBinContent(1,0.06179132); - S57_R_0->SetBinContent(2,0.2008218); - S57_R_0->SetBinContent(3,0.2471653); - S57_R_0->SetBinContent(4,0.3861957); - S57_R_0->SetBinContent(5,0.4325392); - S57_R_0->SetBinContent(6,0.3861957); - S57_R_0->SetBinContent(7,0.4325392); - S57_R_0->SetBinContent(8,0.5715697); - S57_R_0->SetBinContent(9,0.5870175); - S57_R_0->SetBinContent(10,0.5715697); - S57_R_0->SetBinContent(11,0.6642567); - S57_R_0->SetBinContent(12,0.5715697); - S57_R_0->SetBinContent(13,0.5870175); - S57_R_0->SetBinContent(14,0.5252262); - S57_R_0->SetBinContent(15,0.3398523); - S57_R_0->SetBinContent(16,0.5252262); - S57_R_0->SetBinContent(17,0.2008218); - S57_R_0->SetBinContent(18,0.2317174); - S57_R_0->SetBinContent(19,0.1081348); - S57_R_0->SetBinContent(20,0.0); - S57_R_0->SetBinContent(21,0.0); - S57_R_0->SetBinContent(22,0.0); - S57_R_0->SetBinContent(23,0.0); - S57_R_0->SetBinContent(24,0.0); - S57_R_0->SetBinContent(25,0.0); - S57_R_0->SetBinContent(26,0.0); - S57_R_0->SetBinContent(27,0.0); - S57_R_0->SetBinContent(28,0.0); - S57_R_0->SetBinContent(29,0.0); - S57_R_0->SetBinContent(30,0.0); - S57_R_0->SetBinContent(31,0.0); - S57_R_0->SetBinContent(32,0.0); - S57_R_0->SetBinContent(33,0.0); - S57_R_0->SetBinContent(34,0.0); - S57_R_0->SetBinContent(35,0.0); - S57_R_0->SetBinContent(36,0.0); - S57_R_0->SetBinContent(37,0.0); - S57_R_0->SetBinContent(38,0.0); - S57_R_0->SetBinContent(39,0.0); - S57_R_0->SetBinContent(40,0.0); - S57_R_0->SetBinContent(41,0.0); - S57_R_0->SetBinContent(42,0.0); - S57_R_0->SetBinContent(43,0.0); - S57_R_0->SetBinContent(44,0.0); - S57_R_0->SetBinContent(45,0.0); - S57_R_0->SetBinContent(46,0.0); - S57_R_0->SetBinContent(47,0.0); - S57_R_0->SetBinContent(48,0.0); - S57_R_0->SetBinContent(49,0.0); - S57_R_0->SetBinContent(50,0.0); - S57_R_0->SetBinContent(51,0.0); // overflow - S57_R_0->SetEntries(494); - // Style - S57_R_0->SetLineColor(9); - S57_R_0->SetLineStyle(1); - S57_R_0->SetLineWidth(1); - S57_R_0->SetFillColor(9); - S57_R_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_114","mystack"); - stack->Add(S57_R_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("R [ mu ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_56.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_56.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_56.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_56.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_56.py deleted file mode 100644 index 4193983c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_56.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_56(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y57_R_0 - y57_R_0_weights = numpy.array([0.06179132,0.2008218,0.2471653,0.3861957,0.4325392,0.3861957,0.4325392,0.5715697,0.5870175,0.5715697,0.6642567,0.5715697,0.5870175,0.5252262,0.3398523,0.5252262,0.2008218,0.2317174,0.1081348,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y57_R_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$R$ $[ mu ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y57_R_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y57_R_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_56.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_56.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_56.eps') - -# Running! -if __name__ == '__main__': - selection_56() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_57.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_57.C deleted file mode 100644 index c6a88512..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_57.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_57() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo115","canvas_plotflow_tempo115",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S58_Y_0 = new TH1F("S58_Y_0","S58_Y_0",50,-8.0,8.0); - // Content - S58_Y_0->SetBinContent(0,0.0); // underflow - S58_Y_0->SetBinContent(1,0.0); - S58_Y_0->SetBinContent(2,0.0); - S58_Y_0->SetBinContent(3,0.0); - S58_Y_0->SetBinContent(4,0.0); - S58_Y_0->SetBinContent(5,0.0); - S58_Y_0->SetBinContent(6,0.0); - S58_Y_0->SetBinContent(7,0.0); - S58_Y_0->SetBinContent(8,0.0); - S58_Y_0->SetBinContent(9,0.0); - S58_Y_0->SetBinContent(10,0.0); - S58_Y_0->SetBinContent(11,0.0); - S58_Y_0->SetBinContent(12,0.0); - S58_Y_0->SetBinContent(13,0.0); - S58_Y_0->SetBinContent(14,0.0); - S58_Y_0->SetBinContent(15,0.0); - S58_Y_0->SetBinContent(16,0.0); - S58_Y_0->SetBinContent(17,0.0); - S58_Y_0->SetBinContent(18,0.1081348); - S58_Y_0->SetBinContent(19,0.2935088); - S58_Y_0->SetBinContent(20,0.3089566); - S58_Y_0->SetBinContent(21,0.4170914); - S58_Y_0->SetBinContent(22,0.4788827); - S58_Y_0->SetBinContent(23,0.6024654); - S58_Y_0->SetBinContent(24,0.726048); - S58_Y_0->SetBinContent(25,0.6179132); - S58_Y_0->SetBinContent(26,0.8959741); - S58_Y_0->SetBinContent(27,0.726048); - S58_Y_0->SetBinContent(28,0.6797045); - S58_Y_0->SetBinContent(29,0.6488089); - S58_Y_0->SetBinContent(30,0.4479871); - S58_Y_0->SetBinContent(31,0.3707479); - S58_Y_0->SetBinContent(32,0.185374); - S58_Y_0->SetBinContent(33,0.1235826); - S58_Y_0->SetBinContent(34,0.0); - S58_Y_0->SetBinContent(35,0.0); - S58_Y_0->SetBinContent(36,0.0); - S58_Y_0->SetBinContent(37,0.0); - S58_Y_0->SetBinContent(38,0.0); - S58_Y_0->SetBinContent(39,0.0); - S58_Y_0->SetBinContent(40,0.0); - S58_Y_0->SetBinContent(41,0.0); - S58_Y_0->SetBinContent(42,0.0); - S58_Y_0->SetBinContent(43,0.0); - S58_Y_0->SetBinContent(44,0.0); - S58_Y_0->SetBinContent(45,0.0); - S58_Y_0->SetBinContent(46,0.0); - S58_Y_0->SetBinContent(47,0.0); - S58_Y_0->SetBinContent(48,0.0); - S58_Y_0->SetBinContent(49,0.0); - S58_Y_0->SetBinContent(50,0.0); - S58_Y_0->SetBinContent(51,0.0); // overflow - S58_Y_0->SetEntries(494); - // Style - S58_Y_0->SetLineColor(9); - S58_Y_0->SetLineStyle(1); - S58_Y_0->SetLineWidth(1); - S58_Y_0->SetFillColor(9); - S58_Y_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_116","mystack"); - stack->Add(S58_Y_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("y [ mu ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_57.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_57.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_57.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_57.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_57.py deleted file mode 100644 index 00fdfafe..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_57.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_57(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y58_Y_0 - y58_Y_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1081348,0.2935088,0.3089566,0.4170914,0.4788827,0.6024654,0.726048,0.6179132,0.8959741,0.726048,0.6797045,0.6488089,0.4479871,0.3707479,0.185374,0.1235826,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y58_Y_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$y$ $[ mu ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y58_Y_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y58_Y_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_57.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_57.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_57.eps') - -# Running! -if __name__ == '__main__': - selection_57() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_58.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_58.C deleted file mode 100644 index d163fbc3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_58.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_58() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo117","canvas_plotflow_tempo117",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S59_BETA_0 = new TH1F("S59_BETA_0","S59_BETA_0",50,0.0,1.2); - // Content - S59_BETA_0->SetBinContent(0,0.0); // underflow - S59_BETA_0->SetBinContent(1,0.0); - S59_BETA_0->SetBinContent(2,0.0); - S59_BETA_0->SetBinContent(3,0.0); - S59_BETA_0->SetBinContent(4,0.0); - S59_BETA_0->SetBinContent(5,0.0); - S59_BETA_0->SetBinContent(6,0.0); - S59_BETA_0->SetBinContent(7,0.0); - S59_BETA_0->SetBinContent(8,0.0); - S59_BETA_0->SetBinContent(9,0.0); - S59_BETA_0->SetBinContent(10,0.0); - S59_BETA_0->SetBinContent(11,0.0); - S59_BETA_0->SetBinContent(12,0.0); - S59_BETA_0->SetBinContent(13,0.0); - S59_BETA_0->SetBinContent(14,0.0); - S59_BETA_0->SetBinContent(15,0.0); - S59_BETA_0->SetBinContent(16,0.0); - S59_BETA_0->SetBinContent(17,0.0); - S59_BETA_0->SetBinContent(18,0.0); - S59_BETA_0->SetBinContent(19,0.0); - S59_BETA_0->SetBinContent(20,0.0); - S59_BETA_0->SetBinContent(21,0.0); - S59_BETA_0->SetBinContent(22,0.0); - S59_BETA_0->SetBinContent(23,0.0); - S59_BETA_0->SetBinContent(24,0.0); - S59_BETA_0->SetBinContent(25,0.0); - S59_BETA_0->SetBinContent(26,0.0); - S59_BETA_0->SetBinContent(27,0.0); - S59_BETA_0->SetBinContent(28,0.0); - S59_BETA_0->SetBinContent(29,0.0); - S59_BETA_0->SetBinContent(30,0.0); - S59_BETA_0->SetBinContent(31,0.0); - S59_BETA_0->SetBinContent(32,0.0); - S59_BETA_0->SetBinContent(33,0.0); - S59_BETA_0->SetBinContent(34,0.0); - S59_BETA_0->SetBinContent(35,0.0); - S59_BETA_0->SetBinContent(36,0.0); - S59_BETA_0->SetBinContent(37,0.0); - S59_BETA_0->SetBinContent(38,0.0); - S59_BETA_0->SetBinContent(39,0.0); - S59_BETA_0->SetBinContent(40,0.0); - S59_BETA_0->SetBinContent(41,0.0); - S59_BETA_0->SetBinContent(42,7.631228); - S59_BETA_0->SetBinContent(43,0.0); - S59_BETA_0->SetBinContent(44,0.0); - S59_BETA_0->SetBinContent(45,0.0); - S59_BETA_0->SetBinContent(46,0.0); - S59_BETA_0->SetBinContent(47,0.0); - S59_BETA_0->SetBinContent(48,0.0); - S59_BETA_0->SetBinContent(49,0.0); - S59_BETA_0->SetBinContent(50,0.0); - S59_BETA_0->SetBinContent(51,0.0); // overflow - S59_BETA_0->SetEntries(494); - // Style - S59_BETA_0->SetLineColor(9); - S59_BETA_0->SetLineStyle(1); - S59_BETA_0->SetLineWidth(1); - S59_BETA_0->SetFillColor(9); - S59_BETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_118","mystack"); - stack->Add(S59_BETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#beta [ mu ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_58.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_58.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_58.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_58.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_58.py deleted file mode 100644 index b9bc1fb8..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_58.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_58(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1.2,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.012,0.036000000000000004,0.06,0.084,0.108,0.132,0.156,0.18,0.20400000000000001,0.228,0.252,0.276,0.3,0.324,0.34800000000000003,0.372,0.396,0.42,0.444,0.468,0.492,0.516,0.54,0.5640000000000001,0.588,0.612,0.636,0.66,0.684,0.708,0.732,0.756,0.78,0.804,0.8280000000000001,0.852,0.876,0.9,0.924,0.9480000000000001,0.972,0.996,1.02,1.044,1.068,1.092,1.116,1.1400000000000001,1.164,1.188]) - - # Creating weights for histo: y59_BETA_0 - y59_BETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.631228,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y59_BETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\beta$ $[ mu ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y59_BETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y59_BETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_58.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_58.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_58.eps') - -# Running! -if __name__ == '__main__': - selection_58() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_59.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_59.C deleted file mode 100644 index 33c4a741..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_59.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_59() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo119","canvas_plotflow_tempo119",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S60_GAMMA_0 = new TH1F("S60_GAMMA_0","S60_GAMMA_0",50,1.0,100.0); - // Content - S60_GAMMA_0->SetBinContent(0,0.0); // underflow - S60_GAMMA_0->SetBinContent(1,3.63024); - S60_GAMMA_0->SetBinContent(2,0.0); - S60_GAMMA_0->SetBinContent(3,0.0); - S60_GAMMA_0->SetBinContent(4,0.0); - S60_GAMMA_0->SetBinContent(5,0.0); - S60_GAMMA_0->SetBinContent(6,0.0); - S60_GAMMA_0->SetBinContent(7,0.0); - S60_GAMMA_0->SetBinContent(8,0.0); - S60_GAMMA_0->SetBinContent(9,0.0); - S60_GAMMA_0->SetBinContent(10,0.0); - S60_GAMMA_0->SetBinContent(11,0.0); - S60_GAMMA_0->SetBinContent(12,0.0); - S60_GAMMA_0->SetBinContent(13,0.0); - S60_GAMMA_0->SetBinContent(14,0.0); - S60_GAMMA_0->SetBinContent(15,0.0); - S60_GAMMA_0->SetBinContent(16,0.0); - S60_GAMMA_0->SetBinContent(17,0.0); - S60_GAMMA_0->SetBinContent(18,0.0); - S60_GAMMA_0->SetBinContent(19,0.0); - S60_GAMMA_0->SetBinContent(20,0.0); - S60_GAMMA_0->SetBinContent(21,0.0); - S60_GAMMA_0->SetBinContent(22,0.0); - S60_GAMMA_0->SetBinContent(23,0.0); - S60_GAMMA_0->SetBinContent(24,0.0); - S60_GAMMA_0->SetBinContent(25,0.0); - S60_GAMMA_0->SetBinContent(26,0.0); - S60_GAMMA_0->SetBinContent(27,0.0); - S60_GAMMA_0->SetBinContent(28,0.0); - S60_GAMMA_0->SetBinContent(29,0.0); - S60_GAMMA_0->SetBinContent(30,0.0); - S60_GAMMA_0->SetBinContent(31,0.0); - S60_GAMMA_0->SetBinContent(32,0.0); - S60_GAMMA_0->SetBinContent(33,0.0); - S60_GAMMA_0->SetBinContent(34,0.0); - S60_GAMMA_0->SetBinContent(35,0.0); - S60_GAMMA_0->SetBinContent(36,0.0); - S60_GAMMA_0->SetBinContent(37,0.0); - S60_GAMMA_0->SetBinContent(38,0.0); - S60_GAMMA_0->SetBinContent(39,0.0); - S60_GAMMA_0->SetBinContent(40,0.0); - S60_GAMMA_0->SetBinContent(41,0.0); - S60_GAMMA_0->SetBinContent(42,0.0); - S60_GAMMA_0->SetBinContent(43,0.0); - S60_GAMMA_0->SetBinContent(44,0.0); - S60_GAMMA_0->SetBinContent(45,0.0); - S60_GAMMA_0->SetBinContent(46,0.0); - S60_GAMMA_0->SetBinContent(47,0.0); - S60_GAMMA_0->SetBinContent(48,0.0); - S60_GAMMA_0->SetBinContent(49,0.0); - S60_GAMMA_0->SetBinContent(50,0.0); - S60_GAMMA_0->SetBinContent(51,4.000988); // overflow - S60_GAMMA_0->SetEntries(494); - // Style - S60_GAMMA_0->SetLineColor(9); - S60_GAMMA_0->SetLineStyle(1); - S60_GAMMA_0->SetLineWidth(1); - S60_GAMMA_0->SetFillColor(9); - S60_GAMMA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_120","mystack"); - stack->Add(S60_GAMMA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of mu (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#gamma [ mu ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_59.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_59.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_59.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_59.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_59.py deleted file mode 100644 index 4a1bb92a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_59.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_59(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(1.0,100.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([1.99,3.9699999999999998,5.95,7.93,9.91,11.89,13.87,15.85,17.83,19.81,21.79,23.77,25.75,27.73,29.71,31.69,33.67,35.65,37.63,39.61,41.589999999999996,43.57,45.55,47.53,49.51,51.49,53.47,55.45,57.43,59.41,61.39,63.37,65.35,67.33,69.31,71.29,73.27,75.25,77.23,79.21,81.19,83.17,85.15,87.13,89.11,91.09,93.07,95.05,97.03,99.01]) - - # Creating weights for histo: y60_GAMMA_0 - y60_GAMMA_0_weights = numpy.array([3.63024,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y60_GAMMA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\gamma$ $[ mu ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ mu$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y60_GAMMA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y60_GAMMA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_59.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_59.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_59.eps') - -# Running! -if __name__ == '__main__': - selection_59() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_6.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_6.C deleted file mode 100644 index 402c0eda..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_6.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_6() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo13","canvas_plotflow_tempo13",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S7_MET_0 = new TH1F("S7_MET_0","S7_MET_0",50,0.0,1500.0); - // Content - S7_MET_0->SetBinContent(0,0.0); // underflow - S7_MET_0->SetBinContent(1,3.444866); - S7_MET_0->SetBinContent(2,5.870175); - S7_MET_0->SetBinContent(3,3.553001); - S7_MET_0->SetBinContent(4,1.467544); - S7_MET_0->SetBinContent(5,0.7106002); - S7_MET_0->SetBinContent(6,0.1699261); - S7_MET_0->SetBinContent(7,0.1699261); - S7_MET_0->SetBinContent(8,0.01544783); - S7_MET_0->SetBinContent(9,0.01544783); - S7_MET_0->SetBinContent(10,0.01544783); - S7_MET_0->SetBinContent(11,0.01544783); - S7_MET_0->SetBinContent(12,0.0); - S7_MET_0->SetBinContent(13,0.0); - S7_MET_0->SetBinContent(14,0.0); - S7_MET_0->SetBinContent(15,0.0); - S7_MET_0->SetBinContent(16,0.0); - S7_MET_0->SetBinContent(17,0.0); - S7_MET_0->SetBinContent(18,0.0); - S7_MET_0->SetBinContent(19,0.0); - S7_MET_0->SetBinContent(20,0.0); - S7_MET_0->SetBinContent(21,0.0); - S7_MET_0->SetBinContent(22,0.0); - S7_MET_0->SetBinContent(23,0.0); - S7_MET_0->SetBinContent(24,0.0); - S7_MET_0->SetBinContent(25,0.0); - S7_MET_0->SetBinContent(26,0.0); - S7_MET_0->SetBinContent(27,0.0); - S7_MET_0->SetBinContent(28,0.0); - S7_MET_0->SetBinContent(29,0.0); - S7_MET_0->SetBinContent(30,0.0); - S7_MET_0->SetBinContent(31,0.0); - S7_MET_0->SetBinContent(32,0.0); - S7_MET_0->SetBinContent(33,0.0); - S7_MET_0->SetBinContent(34,0.0); - S7_MET_0->SetBinContent(35,0.0); - S7_MET_0->SetBinContent(36,0.0); - S7_MET_0->SetBinContent(37,0.0); - S7_MET_0->SetBinContent(38,0.0); - S7_MET_0->SetBinContent(39,0.0); - S7_MET_0->SetBinContent(40,0.0); - S7_MET_0->SetBinContent(41,0.0); - S7_MET_0->SetBinContent(42,0.0); - S7_MET_0->SetBinContent(43,0.0); - S7_MET_0->SetBinContent(44,0.0); - S7_MET_0->SetBinContent(45,0.0); - S7_MET_0->SetBinContent(46,0.0); - S7_MET_0->SetBinContent(47,0.0); - S7_MET_0->SetBinContent(48,0.0); - S7_MET_0->SetBinContent(49,0.0); - S7_MET_0->SetBinContent(50,0.0); - S7_MET_0->SetBinContent(51,0.0); // overflow - S7_MET_0->SetEntries(1000); - // Style - S7_MET_0->SetLineColor(9); - S7_MET_0->SetLineStyle(1); - S7_MET_0->SetLineWidth(1); - S7_MET_0->SetFillColor(9); - S7_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_14","mystack"); - stack->Add(S7_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#slash{E}_{T} (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_6.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_6.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_6.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_6.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_6.py deleted file mode 100644 index 7f10c337..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_6.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_6(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) - - # Creating weights for histo: y7_MET_0 - y7_MET_0_weights = numpy.array([3.444866,5.870175,3.553001,1.467544,0.7106002,0.1699261,0.1699261,0.01544783,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y7_MET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\slash{E}_{T}$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y7_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y7_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_6.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_6.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_6.eps') - -# Running! -if __name__ == '__main__': - selection_6() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_60.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_60.C deleted file mode 100644 index c0c10935..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_60.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_60() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo121","canvas_plotflow_tempo121",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S61_PT_0 = new TH1F("S61_PT_0","S61_PT_0",50,0.0,1000.0); - // Content - S61_PT_0->SetBinContent(0,0.0); // underflow - S61_PT_0->SetBinContent(1,1.174035); - S61_PT_0->SetBinContent(2,2.641579); - S61_PT_0->SetBinContent(3,1.7765); - S61_PT_0->SetBinContent(4,1.004109); - S61_PT_0->SetBinContent(5,0.4943306); - S61_PT_0->SetBinContent(6,0.3089566); - S61_PT_0->SetBinContent(7,0.09268698); - S61_PT_0->SetBinContent(8,0.01544783); - S61_PT_0->SetBinContent(9,0.04634349); - S61_PT_0->SetBinContent(10,0.03089566); - S61_PT_0->SetBinContent(11,0.03089566); - S61_PT_0->SetBinContent(12,0.01544783); - S61_PT_0->SetBinContent(13,0.0); - S61_PT_0->SetBinContent(14,0.0); - S61_PT_0->SetBinContent(15,0.0); - S61_PT_0->SetBinContent(16,0.0); - S61_PT_0->SetBinContent(17,0.0); - S61_PT_0->SetBinContent(18,0.0); - S61_PT_0->SetBinContent(19,0.0); - S61_PT_0->SetBinContent(20,0.0); - S61_PT_0->SetBinContent(21,0.0); - S61_PT_0->SetBinContent(22,0.0); - S61_PT_0->SetBinContent(23,0.0); - S61_PT_0->SetBinContent(24,0.0); - S61_PT_0->SetBinContent(25,0.0); - S61_PT_0->SetBinContent(26,0.0); - S61_PT_0->SetBinContent(27,0.0); - S61_PT_0->SetBinContent(28,0.0); - S61_PT_0->SetBinContent(29,0.0); - S61_PT_0->SetBinContent(30,0.0); - S61_PT_0->SetBinContent(31,0.0); - S61_PT_0->SetBinContent(32,0.0); - S61_PT_0->SetBinContent(33,0.0); - S61_PT_0->SetBinContent(34,0.0); - S61_PT_0->SetBinContent(35,0.0); - S61_PT_0->SetBinContent(36,0.0); - S61_PT_0->SetBinContent(37,0.0); - S61_PT_0->SetBinContent(38,0.0); - S61_PT_0->SetBinContent(39,0.0); - S61_PT_0->SetBinContent(40,0.0); - S61_PT_0->SetBinContent(41,0.0); - S61_PT_0->SetBinContent(42,0.0); - S61_PT_0->SetBinContent(43,0.0); - S61_PT_0->SetBinContent(44,0.0); - S61_PT_0->SetBinContent(45,0.0); - S61_PT_0->SetBinContent(46,0.0); - S61_PT_0->SetBinContent(47,0.0); - S61_PT_0->SetBinContent(48,0.0); - S61_PT_0->SetBinContent(49,0.0); - S61_PT_0->SetBinContent(50,0.0); - S61_PT_0->SetBinContent(51,0.0); // overflow - S61_PT_0->SetEntries(494); - // Style - S61_PT_0->SetLineColor(9); - S61_PT_0->SetLineStyle(1); - S61_PT_0->SetLineWidth(1); - S61_PT_0->SetFillColor(9); - S61_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_122","mystack"); - stack->Add(S61_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ mu_{1} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_60.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_60.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_60.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_60.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_60.py deleted file mode 100644 index a17deb95..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_60.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_60(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y61_PT_0 - y61_PT_0_weights = numpy.array([1.174035,2.641579,1.7765,1.004109,0.4943306,0.3089566,0.09268698,0.01544783,0.04634349,0.03089566,0.03089566,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y61_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ mu_{1} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y61_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y61_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_60.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_60.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_60.eps') - -# Running! -if __name__ == '__main__': - selection_60() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_61.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_61.C deleted file mode 100644 index 35dea86f..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_61.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_61() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo123","canvas_plotflow_tempo123",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S62_ETA_0 = new TH1F("S62_ETA_0","S62_ETA_0",50,-8.0,8.0); - // Content - S62_ETA_0->SetBinContent(0,0.0); // underflow - S62_ETA_0->SetBinContent(1,0.0); - S62_ETA_0->SetBinContent(2,0.0); - S62_ETA_0->SetBinContent(3,0.0); - S62_ETA_0->SetBinContent(4,0.0); - S62_ETA_0->SetBinContent(5,0.0); - S62_ETA_0->SetBinContent(6,0.0); - S62_ETA_0->SetBinContent(7,0.0); - S62_ETA_0->SetBinContent(8,0.0); - S62_ETA_0->SetBinContent(9,0.0); - S62_ETA_0->SetBinContent(10,0.0); - S62_ETA_0->SetBinContent(11,0.0); - S62_ETA_0->SetBinContent(12,0.0); - S62_ETA_0->SetBinContent(13,0.0); - S62_ETA_0->SetBinContent(14,0.0); - S62_ETA_0->SetBinContent(15,0.0); - S62_ETA_0->SetBinContent(16,0.0); - S62_ETA_0->SetBinContent(17,0.0); - S62_ETA_0->SetBinContent(18,0.1081348); - S62_ETA_0->SetBinContent(19,0.2935088); - S62_ETA_0->SetBinContent(20,0.3089566); - S62_ETA_0->SetBinContent(21,0.4170914); - S62_ETA_0->SetBinContent(22,0.4788827); - S62_ETA_0->SetBinContent(23,0.6024654); - S62_ETA_0->SetBinContent(24,0.726048); - S62_ETA_0->SetBinContent(25,0.6179132); - S62_ETA_0->SetBinContent(26,0.8959741); - S62_ETA_0->SetBinContent(27,0.726048); - S62_ETA_0->SetBinContent(28,0.6797045); - S62_ETA_0->SetBinContent(29,0.6488089); - S62_ETA_0->SetBinContent(30,0.4479871); - S62_ETA_0->SetBinContent(31,0.3707479); - S62_ETA_0->SetBinContent(32,0.185374); - S62_ETA_0->SetBinContent(33,0.1235826); - S62_ETA_0->SetBinContent(34,0.0); - S62_ETA_0->SetBinContent(35,0.0); - S62_ETA_0->SetBinContent(36,0.0); - S62_ETA_0->SetBinContent(37,0.0); - S62_ETA_0->SetBinContent(38,0.0); - S62_ETA_0->SetBinContent(39,0.0); - S62_ETA_0->SetBinContent(40,0.0); - S62_ETA_0->SetBinContent(41,0.0); - S62_ETA_0->SetBinContent(42,0.0); - S62_ETA_0->SetBinContent(43,0.0); - S62_ETA_0->SetBinContent(44,0.0); - S62_ETA_0->SetBinContent(45,0.0); - S62_ETA_0->SetBinContent(46,0.0); - S62_ETA_0->SetBinContent(47,0.0); - S62_ETA_0->SetBinContent(48,0.0); - S62_ETA_0->SetBinContent(49,0.0); - S62_ETA_0->SetBinContent(50,0.0); - S62_ETA_0->SetBinContent(51,0.0); // overflow - S62_ETA_0->SetEntries(494); - // Style - S62_ETA_0->SetLineColor(9); - S62_ETA_0->SetLineStyle(1); - S62_ETA_0->SetLineWidth(1); - S62_ETA_0->SetFillColor(9); - S62_ETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_124","mystack"); - stack->Add(S62_ETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#eta [ mu_{1} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_61.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_61.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_61.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_61.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_61.py deleted file mode 100644 index 4f9c829b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_61.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_61(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y62_ETA_0 - y62_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1081348,0.2935088,0.3089566,0.4170914,0.4788827,0.6024654,0.726048,0.6179132,0.8959741,0.726048,0.6797045,0.6488089,0.4479871,0.3707479,0.185374,0.1235826,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y62_ETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\eta$ $[ mu_{1} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y62_ETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y62_ETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_61.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_61.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_61.eps') - -# Running! -if __name__ == '__main__': - selection_61() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_62.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_62.C deleted file mode 100644 index b711b14c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_62.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_62() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo125","canvas_plotflow_tempo125",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S63_PHI_0 = new TH1F("S63_PHI_0","S63_PHI_0",32,-3.2,3.2); - // Content - S63_PHI_0->SetBinContent(0,0.0); // underflow - S63_PHI_0->SetBinContent(1,0.2162696); - S63_PHI_0->SetBinContent(2,0.2317174); - S63_PHI_0->SetBinContent(3,0.2317174); - S63_PHI_0->SetBinContent(4,0.2935088); - S63_PHI_0->SetBinContent(5,0.2008218); - S63_PHI_0->SetBinContent(6,0.3553001); - S63_PHI_0->SetBinContent(7,0.185374); - S63_PHI_0->SetBinContent(8,0.2317174); - S63_PHI_0->SetBinContent(9,0.2317174); - S63_PHI_0->SetBinContent(10,0.2935088); - S63_PHI_0->SetBinContent(11,0.2626131); - S63_PHI_0->SetBinContent(12,0.2471653); - S63_PHI_0->SetBinContent(13,0.2935088); - S63_PHI_0->SetBinContent(14,0.2317174); - S63_PHI_0->SetBinContent(15,0.2162696); - S63_PHI_0->SetBinContent(16,0.1390305); - S63_PHI_0->SetBinContent(17,0.3089566); - S63_PHI_0->SetBinContent(18,0.3707479); - S63_PHI_0->SetBinContent(19,0.2780609); - S63_PHI_0->SetBinContent(20,0.3089566); - S63_PHI_0->SetBinContent(21,0.2008218); - S63_PHI_0->SetBinContent(22,0.1544783); - S63_PHI_0->SetBinContent(23,0.185374); - S63_PHI_0->SetBinContent(24,0.2008218); - S63_PHI_0->SetBinContent(25,0.2317174); - S63_PHI_0->SetBinContent(26,0.2780609); - S63_PHI_0->SetBinContent(27,0.2162696); - S63_PHI_0->SetBinContent(28,0.185374); - S63_PHI_0->SetBinContent(29,0.2162696); - S63_PHI_0->SetBinContent(30,0.1699261); - S63_PHI_0->SetBinContent(31,0.2780609); - S63_PHI_0->SetBinContent(32,0.185374); - S63_PHI_0->SetBinContent(33,0.0); // overflow - S63_PHI_0->SetEntries(494); - // Style - S63_PHI_0->SetLineColor(9); - S63_PHI_0->SetLineStyle(1); - S63_PHI_0->SetLineWidth(1); - S63_PHI_0->SetFillColor(9); - S63_PHI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_126","mystack"); - stack->Add(S63_PHI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#phi [ mu_{1} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_62.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_62.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_62.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_62.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_62.py deleted file mode 100644 index 4bb15b15..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_62.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_62(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) - - # Creating weights for histo: y63_PHI_0 - y63_PHI_0_weights = numpy.array([0.2162696,0.2317174,0.2317174,0.2935088,0.2008218,0.3553001,0.185374,0.2317174,0.2317174,0.2935088,0.2626131,0.2471653,0.2935088,0.2317174,0.2162696,0.1390305,0.3089566,0.3707479,0.2780609,0.3089566,0.2008218,0.1544783,0.185374,0.2008218,0.2317174,0.2780609,0.2162696,0.185374,0.2162696,0.1699261,0.2780609,0.185374]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y63_PHI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\phi$ $[ mu_{1} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y63_PHI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y63_PHI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_62.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_62.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_62.eps') - -# Running! -if __name__ == '__main__': - selection_62() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_63.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_63.C deleted file mode 100644 index 0c6b8365..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_63.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_63() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo127","canvas_plotflow_tempo127",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S64_E_0 = new TH1F("S64_E_0","S64_E_0",50,0.0,2000.0); - // Content - S64_E_0->SetBinContent(0,0.0); // underflow - S64_E_0->SetBinContent(1,2.193592); - S64_E_0->SetBinContent(2,2.70337); - S64_E_0->SetBinContent(3,1.174035); - S64_E_0->SetBinContent(4,0.5870175); - S64_E_0->SetBinContent(5,0.3707479); - S64_E_0->SetBinContent(6,0.3089566); - S64_E_0->SetBinContent(7,0.1235826); - S64_E_0->SetBinContent(8,0.1081348); - S64_E_0->SetBinContent(9,0.01544783); - S64_E_0->SetBinContent(10,0.01544783); - S64_E_0->SetBinContent(11,0.01544783); - S64_E_0->SetBinContent(12,0.0); - S64_E_0->SetBinContent(13,0.0); - S64_E_0->SetBinContent(14,0.0); - S64_E_0->SetBinContent(15,0.01544783); - S64_E_0->SetBinContent(16,0.0); - S64_E_0->SetBinContent(17,0.0); - S64_E_0->SetBinContent(18,0.0); - S64_E_0->SetBinContent(19,0.0); - S64_E_0->SetBinContent(20,0.0); - S64_E_0->SetBinContent(21,0.0); - S64_E_0->SetBinContent(22,0.0); - S64_E_0->SetBinContent(23,0.0); - S64_E_0->SetBinContent(24,0.0); - S64_E_0->SetBinContent(25,0.0); - S64_E_0->SetBinContent(26,0.0); - S64_E_0->SetBinContent(27,0.0); - S64_E_0->SetBinContent(28,0.0); - S64_E_0->SetBinContent(29,0.0); - S64_E_0->SetBinContent(30,0.0); - S64_E_0->SetBinContent(31,0.0); - S64_E_0->SetBinContent(32,0.0); - S64_E_0->SetBinContent(33,0.0); - S64_E_0->SetBinContent(34,0.0); - S64_E_0->SetBinContent(35,0.0); - S64_E_0->SetBinContent(36,0.0); - S64_E_0->SetBinContent(37,0.0); - S64_E_0->SetBinContent(38,0.0); - S64_E_0->SetBinContent(39,0.0); - S64_E_0->SetBinContent(40,0.0); - S64_E_0->SetBinContent(41,0.0); - S64_E_0->SetBinContent(42,0.0); - S64_E_0->SetBinContent(43,0.0); - S64_E_0->SetBinContent(44,0.0); - S64_E_0->SetBinContent(45,0.0); - S64_E_0->SetBinContent(46,0.0); - S64_E_0->SetBinContent(47,0.0); - S64_E_0->SetBinContent(48,0.0); - S64_E_0->SetBinContent(49,0.0); - S64_E_0->SetBinContent(50,0.0); - S64_E_0->SetBinContent(51,0.0); // overflow - S64_E_0->SetEntries(494); - // Style - S64_E_0->SetLineColor(9); - S64_E_0->SetLineStyle(1); - S64_E_0->SetLineWidth(1); - S64_E_0->SetFillColor(9); - S64_E_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_128","mystack"); - stack->Add(S64_E_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E [ mu_{1} ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_63.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_63.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_63.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_63.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_63.py deleted file mode 100644 index 623ef5d6..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_63.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_63(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y64_E_0 - y64_E_0_weights = numpy.array([2.193592,2.70337,1.174035,0.5870175,0.3707479,0.3089566,0.1235826,0.1081348,0.01544783,0.01544783,0.01544783,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y64_E_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E$ $[ mu_{1} ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y64_E_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y64_E_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_63.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_63.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_63.eps') - -# Running! -if __name__ == '__main__': - selection_63() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_64.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_64.C deleted file mode 100644 index 3ceaad84..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_64.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_64() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo129","canvas_plotflow_tempo129",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S65_MT_MET_0 = new TH1F("S65_MT_MET_0","S65_MT_MET_0",50,0.0,1000.0); - // Content - S65_MT_MET_0->SetBinContent(0,0.0); // underflow - S65_MT_MET_0->SetBinContent(1,0.6024654); - S65_MT_MET_0->SetBinContent(2,0.8805263); - S65_MT_MET_0->SetBinContent(3,1.498439); - S65_MT_MET_0->SetBinContent(4,3.738375); - S65_MT_MET_0->SetBinContent(5,0.8959741); - S65_MT_MET_0->SetBinContent(6,0.01544783); - S65_MT_MET_0->SetBinContent(7,0.0); - S65_MT_MET_0->SetBinContent(8,0.0); - S65_MT_MET_0->SetBinContent(9,0.0); - S65_MT_MET_0->SetBinContent(10,0.0); - S65_MT_MET_0->SetBinContent(11,0.0); - S65_MT_MET_0->SetBinContent(12,0.0); - S65_MT_MET_0->SetBinContent(13,0.0); - S65_MT_MET_0->SetBinContent(14,0.0); - S65_MT_MET_0->SetBinContent(15,0.0); - S65_MT_MET_0->SetBinContent(16,0.0); - S65_MT_MET_0->SetBinContent(17,0.0); - S65_MT_MET_0->SetBinContent(18,0.0); - S65_MT_MET_0->SetBinContent(19,0.0); - S65_MT_MET_0->SetBinContent(20,0.0); - S65_MT_MET_0->SetBinContent(21,0.0); - S65_MT_MET_0->SetBinContent(22,0.0); - S65_MT_MET_0->SetBinContent(23,0.0); - S65_MT_MET_0->SetBinContent(24,0.0); - S65_MT_MET_0->SetBinContent(25,0.0); - S65_MT_MET_0->SetBinContent(26,0.0); - S65_MT_MET_0->SetBinContent(27,0.0); - S65_MT_MET_0->SetBinContent(28,0.0); - S65_MT_MET_0->SetBinContent(29,0.0); - S65_MT_MET_0->SetBinContent(30,0.0); - S65_MT_MET_0->SetBinContent(31,0.0); - S65_MT_MET_0->SetBinContent(32,0.0); - S65_MT_MET_0->SetBinContent(33,0.0); - S65_MT_MET_0->SetBinContent(34,0.0); - S65_MT_MET_0->SetBinContent(35,0.0); - S65_MT_MET_0->SetBinContent(36,0.0); - S65_MT_MET_0->SetBinContent(37,0.0); - S65_MT_MET_0->SetBinContent(38,0.0); - S65_MT_MET_0->SetBinContent(39,0.0); - S65_MT_MET_0->SetBinContent(40,0.0); - S65_MT_MET_0->SetBinContent(41,0.0); - S65_MT_MET_0->SetBinContent(42,0.0); - S65_MT_MET_0->SetBinContent(43,0.0); - S65_MT_MET_0->SetBinContent(44,0.0); - S65_MT_MET_0->SetBinContent(45,0.0); - S65_MT_MET_0->SetBinContent(46,0.0); - S65_MT_MET_0->SetBinContent(47,0.0); - S65_MT_MET_0->SetBinContent(48,0.0); - S65_MT_MET_0->SetBinContent(49,0.0); - S65_MT_MET_0->SetBinContent(50,0.0); - S65_MT_MET_0->SetBinContent(51,0.0); // overflow - S65_MT_MET_0->SetEntries(494); - // Style - S65_MT_MET_0->SetLineColor(9); - S65_MT_MET_0->SetLineStyle(1); - S65_MT_MET_0->SetLineWidth(1); - S65_MT_MET_0->SetFillColor(9); - S65_MT_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_130","mystack"); - stack->Add(S65_MT_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ mu_{1} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_64.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_64.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_64.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_64.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_64.py deleted file mode 100644 index dee58982..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_64.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_64(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y65_MT_MET_0 - y65_MT_MET_0_weights = numpy.array([0.6024654,0.8805263,1.498439,3.738375,0.8959741,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y65_MT_MET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ mu_{1} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y65_MT_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y65_MT_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_64.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_64.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_64.eps') - -# Running! -if __name__ == '__main__': - selection_64() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_65.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_65.C deleted file mode 100644 index 3dd9e2a3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_65.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_65() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo131","canvas_plotflow_tempo131",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S66_PT_0 = new TH1F("S66_PT_0","S66_PT_0",50,0.0,1000.0); - // Content - S66_PT_0->SetBinContent(0,0.0); // underflow - S66_PT_0->SetBinContent(1,0.0); - S66_PT_0->SetBinContent(2,0.0); - S66_PT_0->SetBinContent(3,0.0); - S66_PT_0->SetBinContent(4,0.0); - S66_PT_0->SetBinContent(5,0.0); - S66_PT_0->SetBinContent(6,0.0); - S66_PT_0->SetBinContent(7,0.0); - S66_PT_0->SetBinContent(8,0.0); - S66_PT_0->SetBinContent(9,0.0); - S66_PT_0->SetBinContent(10,0.0); - S66_PT_0->SetBinContent(11,0.0); - S66_PT_0->SetBinContent(12,0.0); - S66_PT_0->SetBinContent(13,0.0); - S66_PT_0->SetBinContent(14,0.0); - S66_PT_0->SetBinContent(15,0.0); - S66_PT_0->SetBinContent(16,0.0); - S66_PT_0->SetBinContent(17,0.0); - S66_PT_0->SetBinContent(18,0.0); - S66_PT_0->SetBinContent(19,0.0); - S66_PT_0->SetBinContent(20,0.0); - S66_PT_0->SetBinContent(21,0.0); - S66_PT_0->SetBinContent(22,0.0); - S66_PT_0->SetBinContent(23,0.0); - S66_PT_0->SetBinContent(24,0.0); - S66_PT_0->SetBinContent(25,0.0); - S66_PT_0->SetBinContent(26,0.0); - S66_PT_0->SetBinContent(27,0.0); - S66_PT_0->SetBinContent(28,0.0); - S66_PT_0->SetBinContent(29,0.0); - S66_PT_0->SetBinContent(30,0.0); - S66_PT_0->SetBinContent(31,0.0); - S66_PT_0->SetBinContent(32,0.0); - S66_PT_0->SetBinContent(33,0.0); - S66_PT_0->SetBinContent(34,0.0); - S66_PT_0->SetBinContent(35,0.0); - S66_PT_0->SetBinContent(36,0.0); - S66_PT_0->SetBinContent(37,0.0); - S66_PT_0->SetBinContent(38,0.0); - S66_PT_0->SetBinContent(39,0.0); - S66_PT_0->SetBinContent(40,0.0); - S66_PT_0->SetBinContent(41,0.0); - S66_PT_0->SetBinContent(42,0.0); - S66_PT_0->SetBinContent(43,0.0); - S66_PT_0->SetBinContent(44,0.0); - S66_PT_0->SetBinContent(45,0.0); - S66_PT_0->SetBinContent(46,0.0); - S66_PT_0->SetBinContent(47,0.0); - S66_PT_0->SetBinContent(48,0.0); - S66_PT_0->SetBinContent(49,0.0); - S66_PT_0->SetBinContent(50,0.0); - S66_PT_0->SetBinContent(51,0.0); // overflow - S66_PT_0->SetEntries(0); - // Style - S66_PT_0->SetLineColor(9); - S66_PT_0->SetLineStyle(1); - S66_PT_0->SetLineWidth(1); - S66_PT_0->SetFillColor(9); - S66_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_132","mystack"); - stack->Add(S66_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ mu_{2} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_65.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_65.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_65.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_65.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_65.py deleted file mode 100644 index bf5b3018..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_65.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_65(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y66_PT_0 - y66_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y66_PT_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ mu_{2} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y66_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y66_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_65.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_65.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_65.eps') - -# Running! -if __name__ == '__main__': - selection_65() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_66.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_66.C deleted file mode 100644 index ceb329a0..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_66.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_66() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo133","canvas_plotflow_tempo133",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S67_ETA_0 = new TH1F("S67_ETA_0","S67_ETA_0",50,-8.0,8.0); - // Content - S67_ETA_0->SetBinContent(0,0.0); // underflow - S67_ETA_0->SetBinContent(1,0.0); - S67_ETA_0->SetBinContent(2,0.0); - S67_ETA_0->SetBinContent(3,0.0); - S67_ETA_0->SetBinContent(4,0.0); - S67_ETA_0->SetBinContent(5,0.0); - S67_ETA_0->SetBinContent(6,0.0); - S67_ETA_0->SetBinContent(7,0.0); - S67_ETA_0->SetBinContent(8,0.0); - S67_ETA_0->SetBinContent(9,0.0); - S67_ETA_0->SetBinContent(10,0.0); - S67_ETA_0->SetBinContent(11,0.0); - S67_ETA_0->SetBinContent(12,0.0); - S67_ETA_0->SetBinContent(13,0.0); - S67_ETA_0->SetBinContent(14,0.0); - S67_ETA_0->SetBinContent(15,0.0); - S67_ETA_0->SetBinContent(16,0.0); - S67_ETA_0->SetBinContent(17,0.0); - S67_ETA_0->SetBinContent(18,0.0); - S67_ETA_0->SetBinContent(19,0.0); - S67_ETA_0->SetBinContent(20,0.0); - S67_ETA_0->SetBinContent(21,0.0); - S67_ETA_0->SetBinContent(22,0.0); - S67_ETA_0->SetBinContent(23,0.0); - S67_ETA_0->SetBinContent(24,0.0); - S67_ETA_0->SetBinContent(25,0.0); - S67_ETA_0->SetBinContent(26,0.0); - S67_ETA_0->SetBinContent(27,0.0); - S67_ETA_0->SetBinContent(28,0.0); - S67_ETA_0->SetBinContent(29,0.0); - S67_ETA_0->SetBinContent(30,0.0); - S67_ETA_0->SetBinContent(31,0.0); - S67_ETA_0->SetBinContent(32,0.0); - S67_ETA_0->SetBinContent(33,0.0); - S67_ETA_0->SetBinContent(34,0.0); - S67_ETA_0->SetBinContent(35,0.0); - S67_ETA_0->SetBinContent(36,0.0); - S67_ETA_0->SetBinContent(37,0.0); - S67_ETA_0->SetBinContent(38,0.0); - S67_ETA_0->SetBinContent(39,0.0); - S67_ETA_0->SetBinContent(40,0.0); - S67_ETA_0->SetBinContent(41,0.0); - S67_ETA_0->SetBinContent(42,0.0); - S67_ETA_0->SetBinContent(43,0.0); - S67_ETA_0->SetBinContent(44,0.0); - S67_ETA_0->SetBinContent(45,0.0); - S67_ETA_0->SetBinContent(46,0.0); - S67_ETA_0->SetBinContent(47,0.0); - S67_ETA_0->SetBinContent(48,0.0); - S67_ETA_0->SetBinContent(49,0.0); - S67_ETA_0->SetBinContent(50,0.0); - S67_ETA_0->SetBinContent(51,0.0); // overflow - S67_ETA_0->SetEntries(0); - // Style - S67_ETA_0->SetLineColor(9); - S67_ETA_0->SetLineStyle(1); - S67_ETA_0->SetLineWidth(1); - S67_ETA_0->SetFillColor(9); - S67_ETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_134","mystack"); - stack->Add(S67_ETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#eta [ mu_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_66.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_66.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_66.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_66.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_66.py deleted file mode 100644 index 657d0030..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_66.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_66(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y67_ETA_0 - y67_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y67_ETA_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\eta$ $[ mu_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y67_ETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y67_ETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_66.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_66.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_66.eps') - -# Running! -if __name__ == '__main__': - selection_66() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_67.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_67.C deleted file mode 100644 index 325fa603..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_67.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_67() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo135","canvas_plotflow_tempo135",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S68_PHI_0 = new TH1F("S68_PHI_0","S68_PHI_0",32,-3.2,3.2); - // Content - S68_PHI_0->SetBinContent(0,0.0); // underflow - S68_PHI_0->SetBinContent(1,0.0); - S68_PHI_0->SetBinContent(2,0.0); - S68_PHI_0->SetBinContent(3,0.0); - S68_PHI_0->SetBinContent(4,0.0); - S68_PHI_0->SetBinContent(5,0.0); - S68_PHI_0->SetBinContent(6,0.0); - S68_PHI_0->SetBinContent(7,0.0); - S68_PHI_0->SetBinContent(8,0.0); - S68_PHI_0->SetBinContent(9,0.0); - S68_PHI_0->SetBinContent(10,0.0); - S68_PHI_0->SetBinContent(11,0.0); - S68_PHI_0->SetBinContent(12,0.0); - S68_PHI_0->SetBinContent(13,0.0); - S68_PHI_0->SetBinContent(14,0.0); - S68_PHI_0->SetBinContent(15,0.0); - S68_PHI_0->SetBinContent(16,0.0); - S68_PHI_0->SetBinContent(17,0.0); - S68_PHI_0->SetBinContent(18,0.0); - S68_PHI_0->SetBinContent(19,0.0); - S68_PHI_0->SetBinContent(20,0.0); - S68_PHI_0->SetBinContent(21,0.0); - S68_PHI_0->SetBinContent(22,0.0); - S68_PHI_0->SetBinContent(23,0.0); - S68_PHI_0->SetBinContent(24,0.0); - S68_PHI_0->SetBinContent(25,0.0); - S68_PHI_0->SetBinContent(26,0.0); - S68_PHI_0->SetBinContent(27,0.0); - S68_PHI_0->SetBinContent(28,0.0); - S68_PHI_0->SetBinContent(29,0.0); - S68_PHI_0->SetBinContent(30,0.0); - S68_PHI_0->SetBinContent(31,0.0); - S68_PHI_0->SetBinContent(32,0.0); - S68_PHI_0->SetBinContent(33,0.0); // overflow - S68_PHI_0->SetEntries(0); - // Style - S68_PHI_0->SetLineColor(9); - S68_PHI_0->SetLineStyle(1); - S68_PHI_0->SetLineWidth(1); - S68_PHI_0->SetFillColor(9); - S68_PHI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_136","mystack"); - stack->Add(S68_PHI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#phi [ mu_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_67.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_67.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_67.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_67.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_67.py deleted file mode 100644 index 4876c6b8..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_67.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_67(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) - - # Creating weights for histo: y68_PHI_0 - y68_PHI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y68_PHI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\phi$ $[ mu_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y68_PHI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y68_PHI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_67.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_67.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_67.eps') - -# Running! -if __name__ == '__main__': - selection_67() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_68.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_68.C deleted file mode 100644 index 22dd2d81..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_68.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_68() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo137","canvas_plotflow_tempo137",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S69_E_0 = new TH1F("S69_E_0","S69_E_0",50,0.0,2000.0); - // Content - S69_E_0->SetBinContent(0,0.0); // underflow - S69_E_0->SetBinContent(1,0.0); - S69_E_0->SetBinContent(2,0.0); - S69_E_0->SetBinContent(3,0.0); - S69_E_0->SetBinContent(4,0.0); - S69_E_0->SetBinContent(5,0.0); - S69_E_0->SetBinContent(6,0.0); - S69_E_0->SetBinContent(7,0.0); - S69_E_0->SetBinContent(8,0.0); - S69_E_0->SetBinContent(9,0.0); - S69_E_0->SetBinContent(10,0.0); - S69_E_0->SetBinContent(11,0.0); - S69_E_0->SetBinContent(12,0.0); - S69_E_0->SetBinContent(13,0.0); - S69_E_0->SetBinContent(14,0.0); - S69_E_0->SetBinContent(15,0.0); - S69_E_0->SetBinContent(16,0.0); - S69_E_0->SetBinContent(17,0.0); - S69_E_0->SetBinContent(18,0.0); - S69_E_0->SetBinContent(19,0.0); - S69_E_0->SetBinContent(20,0.0); - S69_E_0->SetBinContent(21,0.0); - S69_E_0->SetBinContent(22,0.0); - S69_E_0->SetBinContent(23,0.0); - S69_E_0->SetBinContent(24,0.0); - S69_E_0->SetBinContent(25,0.0); - S69_E_0->SetBinContent(26,0.0); - S69_E_0->SetBinContent(27,0.0); - S69_E_0->SetBinContent(28,0.0); - S69_E_0->SetBinContent(29,0.0); - S69_E_0->SetBinContent(30,0.0); - S69_E_0->SetBinContent(31,0.0); - S69_E_0->SetBinContent(32,0.0); - S69_E_0->SetBinContent(33,0.0); - S69_E_0->SetBinContent(34,0.0); - S69_E_0->SetBinContent(35,0.0); - S69_E_0->SetBinContent(36,0.0); - S69_E_0->SetBinContent(37,0.0); - S69_E_0->SetBinContent(38,0.0); - S69_E_0->SetBinContent(39,0.0); - S69_E_0->SetBinContent(40,0.0); - S69_E_0->SetBinContent(41,0.0); - S69_E_0->SetBinContent(42,0.0); - S69_E_0->SetBinContent(43,0.0); - S69_E_0->SetBinContent(44,0.0); - S69_E_0->SetBinContent(45,0.0); - S69_E_0->SetBinContent(46,0.0); - S69_E_0->SetBinContent(47,0.0); - S69_E_0->SetBinContent(48,0.0); - S69_E_0->SetBinContent(49,0.0); - S69_E_0->SetBinContent(50,0.0); - S69_E_0->SetBinContent(51,0.0); // overflow - S69_E_0->SetEntries(0); - // Style - S69_E_0->SetLineColor(9); - S69_E_0->SetLineStyle(1); - S69_E_0->SetLineWidth(1); - S69_E_0->SetFillColor(9); - S69_E_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_138","mystack"); - stack->Add(S69_E_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E [ mu_{2} ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_68.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_68.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_68.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_68.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_68.py deleted file mode 100644 index 779b279b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_68.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_68(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y69_E_0 - y69_E_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y69_E_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E$ $[ mu_{2} ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y69_E_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y69_E_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_68.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_68.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_68.eps') - -# Running! -if __name__ == '__main__': - selection_68() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_69.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_69.C deleted file mode 100644 index da7c6181..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_69.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_69() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo139","canvas_plotflow_tempo139",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S70_MT_MET_0 = new TH1F("S70_MT_MET_0","S70_MT_MET_0",50,0.0,1000.0); - // Content - S70_MT_MET_0->SetBinContent(0,0.0); // underflow - S70_MT_MET_0->SetBinContent(1,0.0); - S70_MT_MET_0->SetBinContent(2,0.0); - S70_MT_MET_0->SetBinContent(3,0.0); - S70_MT_MET_0->SetBinContent(4,0.0); - S70_MT_MET_0->SetBinContent(5,0.0); - S70_MT_MET_0->SetBinContent(6,0.0); - S70_MT_MET_0->SetBinContent(7,0.0); - S70_MT_MET_0->SetBinContent(8,0.0); - S70_MT_MET_0->SetBinContent(9,0.0); - S70_MT_MET_0->SetBinContent(10,0.0); - S70_MT_MET_0->SetBinContent(11,0.0); - S70_MT_MET_0->SetBinContent(12,0.0); - S70_MT_MET_0->SetBinContent(13,0.0); - S70_MT_MET_0->SetBinContent(14,0.0); - S70_MT_MET_0->SetBinContent(15,0.0); - S70_MT_MET_0->SetBinContent(16,0.0); - S70_MT_MET_0->SetBinContent(17,0.0); - S70_MT_MET_0->SetBinContent(18,0.0); - S70_MT_MET_0->SetBinContent(19,0.0); - S70_MT_MET_0->SetBinContent(20,0.0); - S70_MT_MET_0->SetBinContent(21,0.0); - S70_MT_MET_0->SetBinContent(22,0.0); - S70_MT_MET_0->SetBinContent(23,0.0); - S70_MT_MET_0->SetBinContent(24,0.0); - S70_MT_MET_0->SetBinContent(25,0.0); - S70_MT_MET_0->SetBinContent(26,0.0); - S70_MT_MET_0->SetBinContent(27,0.0); - S70_MT_MET_0->SetBinContent(28,0.0); - S70_MT_MET_0->SetBinContent(29,0.0); - S70_MT_MET_0->SetBinContent(30,0.0); - S70_MT_MET_0->SetBinContent(31,0.0); - S70_MT_MET_0->SetBinContent(32,0.0); - S70_MT_MET_0->SetBinContent(33,0.0); - S70_MT_MET_0->SetBinContent(34,0.0); - S70_MT_MET_0->SetBinContent(35,0.0); - S70_MT_MET_0->SetBinContent(36,0.0); - S70_MT_MET_0->SetBinContent(37,0.0); - S70_MT_MET_0->SetBinContent(38,0.0); - S70_MT_MET_0->SetBinContent(39,0.0); - S70_MT_MET_0->SetBinContent(40,0.0); - S70_MT_MET_0->SetBinContent(41,0.0); - S70_MT_MET_0->SetBinContent(42,0.0); - S70_MT_MET_0->SetBinContent(43,0.0); - S70_MT_MET_0->SetBinContent(44,0.0); - S70_MT_MET_0->SetBinContent(45,0.0); - S70_MT_MET_0->SetBinContent(46,0.0); - S70_MT_MET_0->SetBinContent(47,0.0); - S70_MT_MET_0->SetBinContent(48,0.0); - S70_MT_MET_0->SetBinContent(49,0.0); - S70_MT_MET_0->SetBinContent(50,0.0); - S70_MT_MET_0->SetBinContent(51,0.0); // overflow - S70_MT_MET_0->SetEntries(0); - // Style - S70_MT_MET_0->SetLineColor(9); - S70_MT_MET_0->SetLineStyle(1); - S70_MT_MET_0->SetLineWidth(1); - S70_MT_MET_0->SetFillColor(9); - S70_MT_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_140","mystack"); - stack->Add(S70_MT_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ mu_{2} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_69.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_69.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_69.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_69.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_69.py deleted file mode 100644 index 6a6e8f78..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_69.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_69(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y70_MT_MET_0 - y70_MT_MET_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y70_MT_MET_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ mu_{2} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y70_MT_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y70_MT_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_69.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_69.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_69.eps') - -# Running! -if __name__ == '__main__': - selection_69() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_7.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_7.C deleted file mode 100644 index 4eac4ce7..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_7.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_7() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo15","canvas_plotflow_tempo15",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S8_MHT_0 = new TH1F("S8_MHT_0","S8_MHT_0",50,0.0,1500.0); - // Content - S8_MHT_0->SetBinContent(0,0.0); // underflow - S8_MHT_0->SetBinContent(1,1.977322); - S8_MHT_0->SetBinContent(2,3.923749); - S8_MHT_0->SetBinContent(3,3.861957); - S8_MHT_0->SetBinContent(4,2.687922); - S8_MHT_0->SetBinContent(5,1.436648); - S8_MHT_0->SetBinContent(6,0.818735); - S8_MHT_0->SetBinContent(7,0.2471653); - S8_MHT_0->SetBinContent(8,0.2935088); - S8_MHT_0->SetBinContent(9,0.06179132); - S8_MHT_0->SetBinContent(10,0.04634349); - S8_MHT_0->SetBinContent(11,0.04634349); - S8_MHT_0->SetBinContent(12,0.03089566); - S8_MHT_0->SetBinContent(13,0.01544783); - S8_MHT_0->SetBinContent(14,0.0); - S8_MHT_0->SetBinContent(15,0.0); - S8_MHT_0->SetBinContent(16,0.0); - S8_MHT_0->SetBinContent(17,0.0); - S8_MHT_0->SetBinContent(18,0.0); - S8_MHT_0->SetBinContent(19,0.0); - S8_MHT_0->SetBinContent(20,0.0); - S8_MHT_0->SetBinContent(21,0.0); - S8_MHT_0->SetBinContent(22,0.0); - S8_MHT_0->SetBinContent(23,0.0); - S8_MHT_0->SetBinContent(24,0.0); - S8_MHT_0->SetBinContent(25,0.0); - S8_MHT_0->SetBinContent(26,0.0); - S8_MHT_0->SetBinContent(27,0.0); - S8_MHT_0->SetBinContent(28,0.0); - S8_MHT_0->SetBinContent(29,0.0); - S8_MHT_0->SetBinContent(30,0.0); - S8_MHT_0->SetBinContent(31,0.0); - S8_MHT_0->SetBinContent(32,0.0); - S8_MHT_0->SetBinContent(33,0.0); - S8_MHT_0->SetBinContent(34,0.0); - S8_MHT_0->SetBinContent(35,0.0); - S8_MHT_0->SetBinContent(36,0.0); - S8_MHT_0->SetBinContent(37,0.0); - S8_MHT_0->SetBinContent(38,0.0); - S8_MHT_0->SetBinContent(39,0.0); - S8_MHT_0->SetBinContent(40,0.0); - S8_MHT_0->SetBinContent(41,0.0); - S8_MHT_0->SetBinContent(42,0.0); - S8_MHT_0->SetBinContent(43,0.0); - S8_MHT_0->SetBinContent(44,0.0); - S8_MHT_0->SetBinContent(45,0.0); - S8_MHT_0->SetBinContent(46,0.0); - S8_MHT_0->SetBinContent(47,0.0); - S8_MHT_0->SetBinContent(48,0.0); - S8_MHT_0->SetBinContent(49,0.0); - S8_MHT_0->SetBinContent(50,0.0); - S8_MHT_0->SetBinContent(51,0.0); // overflow - S8_MHT_0->SetEntries(1000); - // Style - S8_MHT_0->SetLineColor(9); - S8_MHT_0->SetLineStyle(1); - S8_MHT_0->SetLineWidth(1); - S8_MHT_0->SetFillColor(9); - S8_MHT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_16","mystack"); - stack->Add(S8_MHT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#slash{H}_{T} (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_7.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_7.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_7.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_7.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_7.py deleted file mode 100644 index c939b9ff..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_7.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_7(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) - - # Creating weights for histo: y8_MHT_0 - y8_MHT_0_weights = numpy.array([1.977322,3.923749,3.861957,2.687922,1.436648,0.818735,0.2471653,0.2935088,0.06179132,0.04634349,0.04634349,0.03089566,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y8_MHT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\slash{H}_{T}$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y8_MHT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y8_MHT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_7.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_7.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_7.eps') - -# Running! -if __name__ == '__main__': - selection_7() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_70.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_70.C deleted file mode 100644 index fe41e6f4..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_70.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_70() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo141","canvas_plotflow_tempo141",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S71_M_0 = new TH1F("S71_M_0","S71_M_0",50,0.0,1000.0); - // Content - S71_M_0->SetBinContent(0,0.0); // underflow - S71_M_0->SetBinContent(1,0.0); - S71_M_0->SetBinContent(2,0.0); - S71_M_0->SetBinContent(3,0.0); - S71_M_0->SetBinContent(4,0.0); - S71_M_0->SetBinContent(5,0.0); - S71_M_0->SetBinContent(6,0.0); - S71_M_0->SetBinContent(7,0.0); - S71_M_0->SetBinContent(8,0.0); - S71_M_0->SetBinContent(9,0.0); - S71_M_0->SetBinContent(10,0.0); - S71_M_0->SetBinContent(11,0.0); - S71_M_0->SetBinContent(12,0.0); - S71_M_0->SetBinContent(13,0.0); - S71_M_0->SetBinContent(14,0.0); - S71_M_0->SetBinContent(15,0.0); - S71_M_0->SetBinContent(16,0.0); - S71_M_0->SetBinContent(17,0.0); - S71_M_0->SetBinContent(18,0.0); - S71_M_0->SetBinContent(19,0.0); - S71_M_0->SetBinContent(20,0.0); - S71_M_0->SetBinContent(21,0.0); - S71_M_0->SetBinContent(22,0.0); - S71_M_0->SetBinContent(23,0.0); - S71_M_0->SetBinContent(24,0.0); - S71_M_0->SetBinContent(25,0.0); - S71_M_0->SetBinContent(26,0.0); - S71_M_0->SetBinContent(27,0.0); - S71_M_0->SetBinContent(28,0.0); - S71_M_0->SetBinContent(29,0.0); - S71_M_0->SetBinContent(30,0.0); - S71_M_0->SetBinContent(31,0.0); - S71_M_0->SetBinContent(32,0.0); - S71_M_0->SetBinContent(33,0.0); - S71_M_0->SetBinContent(34,0.0); - S71_M_0->SetBinContent(35,0.0); - S71_M_0->SetBinContent(36,0.0); - S71_M_0->SetBinContent(37,0.0); - S71_M_0->SetBinContent(38,0.0); - S71_M_0->SetBinContent(39,0.0); - S71_M_0->SetBinContent(40,0.0); - S71_M_0->SetBinContent(41,0.0); - S71_M_0->SetBinContent(42,0.0); - S71_M_0->SetBinContent(43,0.0); - S71_M_0->SetBinContent(44,0.0); - S71_M_0->SetBinContent(45,0.0); - S71_M_0->SetBinContent(46,0.0); - S71_M_0->SetBinContent(47,0.0); - S71_M_0->SetBinContent(48,0.0); - S71_M_0->SetBinContent(49,0.0); - S71_M_0->SetBinContent(50,0.0); - S71_M_0->SetBinContent(51,0.0); // overflow - S71_M_0->SetEntries(0); - // Style - S71_M_0->SetLineColor(9); - S71_M_0->SetLineStyle(1); - S71_M_0->SetLineWidth(1); - S71_M_0->SetFillColor(9); - S71_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_142","mystack"); - stack->Add(S71_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ mu_{1} mu_{2} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_70.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_70.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_70.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_70.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_70.py deleted file mode 100644 index 29694ed3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_70.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_70(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y71_M_0 - y71_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y71_M_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ mu_{1} mu_{2} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y71_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y71_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_70.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_70.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_70.eps') - -# Running! -if __name__ == '__main__': - selection_70() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_71.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_71.C deleted file mode 100644 index 72472cc7..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_71.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_71() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo143","canvas_plotflow_tempo143",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S72_PT_0 = new TH1F("S72_PT_0","S72_PT_0",50,0.0,1500.0); - // Content - S72_PT_0->SetBinContent(0,0.0); // underflow - S72_PT_0->SetBinContent(1,0.0); - S72_PT_0->SetBinContent(2,0.0); - S72_PT_0->SetBinContent(3,0.0); - S72_PT_0->SetBinContent(4,0.0); - S72_PT_0->SetBinContent(5,0.0); - S72_PT_0->SetBinContent(6,0.0); - S72_PT_0->SetBinContent(7,0.0); - S72_PT_0->SetBinContent(8,0.0); - S72_PT_0->SetBinContent(9,0.0); - S72_PT_0->SetBinContent(10,0.0); - S72_PT_0->SetBinContent(11,0.0); - S72_PT_0->SetBinContent(12,0.0); - S72_PT_0->SetBinContent(13,0.0); - S72_PT_0->SetBinContent(14,0.0); - S72_PT_0->SetBinContent(15,0.0); - S72_PT_0->SetBinContent(16,0.0); - S72_PT_0->SetBinContent(17,0.0); - S72_PT_0->SetBinContent(18,0.0); - S72_PT_0->SetBinContent(19,0.0); - S72_PT_0->SetBinContent(20,0.0); - S72_PT_0->SetBinContent(21,0.0); - S72_PT_0->SetBinContent(22,0.0); - S72_PT_0->SetBinContent(23,0.0); - S72_PT_0->SetBinContent(24,0.0); - S72_PT_0->SetBinContent(25,0.0); - S72_PT_0->SetBinContent(26,0.0); - S72_PT_0->SetBinContent(27,0.0); - S72_PT_0->SetBinContent(28,0.0); - S72_PT_0->SetBinContent(29,0.0); - S72_PT_0->SetBinContent(30,0.0); - S72_PT_0->SetBinContent(31,0.0); - S72_PT_0->SetBinContent(32,0.0); - S72_PT_0->SetBinContent(33,0.0); - S72_PT_0->SetBinContent(34,0.0); - S72_PT_0->SetBinContent(35,0.0); - S72_PT_0->SetBinContent(36,0.0); - S72_PT_0->SetBinContent(37,0.0); - S72_PT_0->SetBinContent(38,0.0); - S72_PT_0->SetBinContent(39,0.0); - S72_PT_0->SetBinContent(40,0.0); - S72_PT_0->SetBinContent(41,0.0); - S72_PT_0->SetBinContent(42,0.0); - S72_PT_0->SetBinContent(43,0.0); - S72_PT_0->SetBinContent(44,0.0); - S72_PT_0->SetBinContent(45,0.0); - S72_PT_0->SetBinContent(46,0.0); - S72_PT_0->SetBinContent(47,0.0); - S72_PT_0->SetBinContent(48,0.0); - S72_PT_0->SetBinContent(49,0.0); - S72_PT_0->SetBinContent(50,0.0); - S72_PT_0->SetBinContent(51,0.0); // overflow - S72_PT_0->SetEntries(0); - // Style - S72_PT_0->SetLineColor(9); - S72_PT_0->SetLineStyle(1); - S72_PT_0->SetLineWidth(1); - S72_PT_0->SetFillColor(9); - S72_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_144","mystack"); - stack->Add(S72_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ mu_{1} mu_{2} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_71.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_71.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_71.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_71.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_71.py deleted file mode 100644 index f065be7f..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_71.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_71(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1500.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([15.0,45.0,75.0,105.0,135.0,165.0,195.0,225.0,255.0,285.0,315.0,345.0,375.0,405.0,435.0,465.0,495.0,525.0,555.0,585.0,615.0,645.0,675.0,705.0,735.0,765.0,795.0,825.0,855.0,885.0,915.0,945.0,975.0,1005.0,1035.0,1065.0,1095.0,1125.0,1155.0,1185.0,1215.0,1245.0,1275.0,1305.0,1335.0,1365.0,1395.0,1425.0,1455.0,1485.0]) - - # Creating weights for histo: y72_PT_0 - y72_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y72_PT_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ mu_{1} mu_{2} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y72_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y72_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_71.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_71.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_71.eps') - -# Running! -if __name__ == '__main__': - selection_71() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_72.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_72.C deleted file mode 100644 index 528fdf2d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_72.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_72() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo145","canvas_plotflow_tempo145",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S73_DELTAR_0 = new TH1F("S73_DELTAR_0","S73_DELTAR_0",50,0.0,10.0); - // Content - S73_DELTAR_0->SetBinContent(0,0.0); // underflow - S73_DELTAR_0->SetBinContent(1,0.0); - S73_DELTAR_0->SetBinContent(2,0.0); - S73_DELTAR_0->SetBinContent(3,0.0); - S73_DELTAR_0->SetBinContent(4,0.0); - S73_DELTAR_0->SetBinContent(5,0.0); - S73_DELTAR_0->SetBinContent(6,0.0); - S73_DELTAR_0->SetBinContent(7,0.0); - S73_DELTAR_0->SetBinContent(8,0.0); - S73_DELTAR_0->SetBinContent(9,0.0); - S73_DELTAR_0->SetBinContent(10,0.0); - S73_DELTAR_0->SetBinContent(11,0.0); - S73_DELTAR_0->SetBinContent(12,0.0); - S73_DELTAR_0->SetBinContent(13,0.0); - S73_DELTAR_0->SetBinContent(14,0.0); - S73_DELTAR_0->SetBinContent(15,0.0); - S73_DELTAR_0->SetBinContent(16,0.0); - S73_DELTAR_0->SetBinContent(17,0.0); - S73_DELTAR_0->SetBinContent(18,0.0); - S73_DELTAR_0->SetBinContent(19,0.0); - S73_DELTAR_0->SetBinContent(20,0.0); - S73_DELTAR_0->SetBinContent(21,0.0); - S73_DELTAR_0->SetBinContent(22,0.0); - S73_DELTAR_0->SetBinContent(23,0.0); - S73_DELTAR_0->SetBinContent(24,0.0); - S73_DELTAR_0->SetBinContent(25,0.0); - S73_DELTAR_0->SetBinContent(26,0.0); - S73_DELTAR_0->SetBinContent(27,0.0); - S73_DELTAR_0->SetBinContent(28,0.0); - S73_DELTAR_0->SetBinContent(29,0.0); - S73_DELTAR_0->SetBinContent(30,0.0); - S73_DELTAR_0->SetBinContent(31,0.0); - S73_DELTAR_0->SetBinContent(32,0.0); - S73_DELTAR_0->SetBinContent(33,0.0); - S73_DELTAR_0->SetBinContent(34,0.0); - S73_DELTAR_0->SetBinContent(35,0.0); - S73_DELTAR_0->SetBinContent(36,0.0); - S73_DELTAR_0->SetBinContent(37,0.0); - S73_DELTAR_0->SetBinContent(38,0.0); - S73_DELTAR_0->SetBinContent(39,0.0); - S73_DELTAR_0->SetBinContent(40,0.0); - S73_DELTAR_0->SetBinContent(41,0.0); - S73_DELTAR_0->SetBinContent(42,0.0); - S73_DELTAR_0->SetBinContent(43,0.0); - S73_DELTAR_0->SetBinContent(44,0.0); - S73_DELTAR_0->SetBinContent(45,0.0); - S73_DELTAR_0->SetBinContent(46,0.0); - S73_DELTAR_0->SetBinContent(47,0.0); - S73_DELTAR_0->SetBinContent(48,0.0); - S73_DELTAR_0->SetBinContent(49,0.0); - S73_DELTAR_0->SetBinContent(50,0.0); - S73_DELTAR_0->SetBinContent(51,0.0); // overflow - S73_DELTAR_0->SetEntries(0); - // Style - S73_DELTAR_0->SetLineColor(9); - S73_DELTAR_0->SetLineStyle(1); - S73_DELTAR_0->SetLineWidth(1); - S73_DELTAR_0->SetFillColor(9); - S73_DELTAR_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_146","mystack"); - stack->Add(S73_DELTAR_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#DeltaR [ mu_{1}, mu_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_72.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_72.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_72.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_72.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_72.py deleted file mode 100644 index 805bd5bb..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_72.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_72(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y73_DELTAR_0 - y73_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y73_DELTAR_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta R$ $[ mu_{1}, mu_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y73_DELTAR_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y73_DELTAR_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_72.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_72.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_72.eps') - -# Running! -if __name__ == '__main__': - selection_72() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_73.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_73.C deleted file mode 100644 index 28c0c545..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_73.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_73() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo147","canvas_plotflow_tempo147",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S74_DPHI_0_PI_0 = new TH1F("S74_DPHI_0_PI_0","S74_DPHI_0_PI_0",32,0.0,3.2); - // Content - S74_DPHI_0_PI_0->SetBinContent(0,0.0); // underflow - S74_DPHI_0_PI_0->SetBinContent(1,0.0); - S74_DPHI_0_PI_0->SetBinContent(2,0.0); - S74_DPHI_0_PI_0->SetBinContent(3,0.0); - S74_DPHI_0_PI_0->SetBinContent(4,0.0); - S74_DPHI_0_PI_0->SetBinContent(5,0.0); - S74_DPHI_0_PI_0->SetBinContent(6,0.0); - S74_DPHI_0_PI_0->SetBinContent(7,0.0); - S74_DPHI_0_PI_0->SetBinContent(8,0.0); - S74_DPHI_0_PI_0->SetBinContent(9,0.0); - S74_DPHI_0_PI_0->SetBinContent(10,0.0); - S74_DPHI_0_PI_0->SetBinContent(11,0.0); - S74_DPHI_0_PI_0->SetBinContent(12,0.0); - S74_DPHI_0_PI_0->SetBinContent(13,0.0); - S74_DPHI_0_PI_0->SetBinContent(14,0.0); - S74_DPHI_0_PI_0->SetBinContent(15,0.0); - S74_DPHI_0_PI_0->SetBinContent(16,0.0); - S74_DPHI_0_PI_0->SetBinContent(17,0.0); - S74_DPHI_0_PI_0->SetBinContent(18,0.0); - S74_DPHI_0_PI_0->SetBinContent(19,0.0); - S74_DPHI_0_PI_0->SetBinContent(20,0.0); - S74_DPHI_0_PI_0->SetBinContent(21,0.0); - S74_DPHI_0_PI_0->SetBinContent(22,0.0); - S74_DPHI_0_PI_0->SetBinContent(23,0.0); - S74_DPHI_0_PI_0->SetBinContent(24,0.0); - S74_DPHI_0_PI_0->SetBinContent(25,0.0); - S74_DPHI_0_PI_0->SetBinContent(26,0.0); - S74_DPHI_0_PI_0->SetBinContent(27,0.0); - S74_DPHI_0_PI_0->SetBinContent(28,0.0); - S74_DPHI_0_PI_0->SetBinContent(29,0.0); - S74_DPHI_0_PI_0->SetBinContent(30,0.0); - S74_DPHI_0_PI_0->SetBinContent(31,0.0); - S74_DPHI_0_PI_0->SetBinContent(32,0.0); - S74_DPHI_0_PI_0->SetBinContent(33,0.0); // overflow - S74_DPHI_0_PI_0->SetEntries(0); - // Style - S74_DPHI_0_PI_0->SetLineColor(9); - S74_DPHI_0_PI_0->SetLineStyle(1); - S74_DPHI_0_PI_0->SetLineWidth(1); - S74_DPHI_0_PI_0->SetFillColor(9); - S74_DPHI_0_PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_148","mystack"); - stack->Add(S74_DPHI_0_PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,#pi} [ mu_{1}, mu_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_73.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_73.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_73.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_73.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_73.py deleted file mode 100644 index d237ac45..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_73.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_73(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.05,0.15000000000000002,0.25,0.35000000000000003,0.45,0.55,0.65,0.75,0.8500000000000001,0.9500000000000001,1.05,1.1500000000000001,1.25,1.35,1.4500000000000002,1.55,1.6500000000000001,1.75,1.85,1.9500000000000002,2.0500000000000003,2.15,2.25,2.35,2.45,2.5500000000000003,2.6500000000000004,2.75,2.85,2.95,3.0500000000000003,3.1500000000000004]) - - # Creating weights for histo: y74_DPHI_0_PI_0 - y74_DPHI_0_PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y74_DPHI_0_PI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,\pi}$ $[ mu_{1}, mu_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y74_DPHI_0_PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y74_DPHI_0_PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_73.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_73.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_73.eps') - -# Running! -if __name__ == '__main__': - selection_73() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_74.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_74.C deleted file mode 100644 index 9d875f85..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_74.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_74() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo149","canvas_plotflow_tempo149",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S75_DPHI_0_2PI_0 = new TH1F("S75_DPHI_0_2PI_0","S75_DPHI_0_2PI_0",32,0.0,6.4); - // Content - S75_DPHI_0_2PI_0->SetBinContent(0,0.0); // underflow - S75_DPHI_0_2PI_0->SetBinContent(1,0.0); - S75_DPHI_0_2PI_0->SetBinContent(2,0.0); - S75_DPHI_0_2PI_0->SetBinContent(3,0.0); - S75_DPHI_0_2PI_0->SetBinContent(4,0.0); - S75_DPHI_0_2PI_0->SetBinContent(5,0.0); - S75_DPHI_0_2PI_0->SetBinContent(6,0.0); - S75_DPHI_0_2PI_0->SetBinContent(7,0.0); - S75_DPHI_0_2PI_0->SetBinContent(8,0.0); - S75_DPHI_0_2PI_0->SetBinContent(9,0.0); - S75_DPHI_0_2PI_0->SetBinContent(10,0.0); - S75_DPHI_0_2PI_0->SetBinContent(11,0.0); - S75_DPHI_0_2PI_0->SetBinContent(12,0.0); - S75_DPHI_0_2PI_0->SetBinContent(13,0.0); - S75_DPHI_0_2PI_0->SetBinContent(14,0.0); - S75_DPHI_0_2PI_0->SetBinContent(15,0.0); - S75_DPHI_0_2PI_0->SetBinContent(16,0.0); - S75_DPHI_0_2PI_0->SetBinContent(17,0.0); - S75_DPHI_0_2PI_0->SetBinContent(18,0.0); - S75_DPHI_0_2PI_0->SetBinContent(19,0.0); - S75_DPHI_0_2PI_0->SetBinContent(20,0.0); - S75_DPHI_0_2PI_0->SetBinContent(21,0.0); - S75_DPHI_0_2PI_0->SetBinContent(22,0.0); - S75_DPHI_0_2PI_0->SetBinContent(23,0.0); - S75_DPHI_0_2PI_0->SetBinContent(24,0.0); - S75_DPHI_0_2PI_0->SetBinContent(25,0.0); - S75_DPHI_0_2PI_0->SetBinContent(26,0.0); - S75_DPHI_0_2PI_0->SetBinContent(27,0.0); - S75_DPHI_0_2PI_0->SetBinContent(28,0.0); - S75_DPHI_0_2PI_0->SetBinContent(29,0.0); - S75_DPHI_0_2PI_0->SetBinContent(30,0.0); - S75_DPHI_0_2PI_0->SetBinContent(31,0.0); - S75_DPHI_0_2PI_0->SetBinContent(32,0.0); - S75_DPHI_0_2PI_0->SetBinContent(33,0.0); // overflow - S75_DPHI_0_2PI_0->SetEntries(0); - // Style - S75_DPHI_0_2PI_0->SetLineColor(9); - S75_DPHI_0_2PI_0->SetLineStyle(1); - S75_DPHI_0_2PI_0->SetLineWidth(1); - S75_DPHI_0_2PI_0->SetFillColor(9); - S75_DPHI_0_2PI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_150","mystack"); - stack->Add(S75_DPHI_0_2PI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#Delta#Phi_{0,2#pi} [ mu_{1}, mu_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_74.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_74.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_74.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_74.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_74.py deleted file mode 100644 index be508f20..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_74.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_74(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,6.4,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001]) - - # Creating weights for histo: y75_DPHI_0_2PI_0 - y75_DPHI_0_2PI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y75_DPHI_0_2PI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\Delta\Phi_{0,2\pi}$ $[ mu_{1}, mu_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y75_DPHI_0_2PI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y75_DPHI_0_2PI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_74.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_74.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_74.eps') - -# Running! -if __name__ == '__main__': - selection_74() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_75.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_75.C deleted file mode 100644 index 3413abe4..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_75.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_75() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo151","canvas_plotflow_tempo151",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S76_PT_0 = new TH1F("S76_PT_0","S76_PT_0",50,0.0,1000.0); - // Content - S76_PT_0->SetBinContent(0,0.0); // underflow - S76_PT_0->SetBinContent(1,0.0); - S76_PT_0->SetBinContent(2,2.734266); - S76_PT_0->SetBinContent(3,4.124571); - S76_PT_0->SetBinContent(4,3.244044); - S76_PT_0->SetBinContent(5,2.626131); - S76_PT_0->SetBinContent(6,1.0659); - S76_PT_0->SetBinContent(7,0.7878393); - S76_PT_0->SetBinContent(8,0.4479871); - S76_PT_0->SetBinContent(9,0.1699261); - S76_PT_0->SetBinContent(10,0.06179132); - S76_PT_0->SetBinContent(11,0.04634349); - S76_PT_0->SetBinContent(12,0.07723915); - S76_PT_0->SetBinContent(13,0.0); - S76_PT_0->SetBinContent(14,0.03089566); - S76_PT_0->SetBinContent(15,0.0); - S76_PT_0->SetBinContent(16,0.03089566); - S76_PT_0->SetBinContent(17,0.0); - S76_PT_0->SetBinContent(18,0.0); - S76_PT_0->SetBinContent(19,0.0); - S76_PT_0->SetBinContent(20,0.0); - S76_PT_0->SetBinContent(21,0.0); - S76_PT_0->SetBinContent(22,0.0); - S76_PT_0->SetBinContent(23,0.0); - S76_PT_0->SetBinContent(24,0.0); - S76_PT_0->SetBinContent(25,0.0); - S76_PT_0->SetBinContent(26,0.0); - S76_PT_0->SetBinContent(27,0.0); - S76_PT_0->SetBinContent(28,0.0); - S76_PT_0->SetBinContent(29,0.0); - S76_PT_0->SetBinContent(30,0.0); - S76_PT_0->SetBinContent(31,0.0); - S76_PT_0->SetBinContent(32,0.0); - S76_PT_0->SetBinContent(33,0.0); - S76_PT_0->SetBinContent(34,0.0); - S76_PT_0->SetBinContent(35,0.0); - S76_PT_0->SetBinContent(36,0.0); - S76_PT_0->SetBinContent(37,0.0); - S76_PT_0->SetBinContent(38,0.0); - S76_PT_0->SetBinContent(39,0.0); - S76_PT_0->SetBinContent(40,0.0); - S76_PT_0->SetBinContent(41,0.0); - S76_PT_0->SetBinContent(42,0.0); - S76_PT_0->SetBinContent(43,0.0); - S76_PT_0->SetBinContent(44,0.0); - S76_PT_0->SetBinContent(45,0.0); - S76_PT_0->SetBinContent(46,0.0); - S76_PT_0->SetBinContent(47,0.0); - S76_PT_0->SetBinContent(48,0.0); - S76_PT_0->SetBinContent(49,0.0); - S76_PT_0->SetBinContent(50,0.0); - S76_PT_0->SetBinContent(51,0.0); // overflow - S76_PT_0->SetEntries(1000); - // Style - S76_PT_0->SetLineColor(9); - S76_PT_0->SetLineStyle(1); - S76_PT_0->SetLineWidth(1); - S76_PT_0->SetFillColor(9); - S76_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_152","mystack"); - stack->Add(S76_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ b ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_75.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_75.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_75.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_75.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_75.py deleted file mode 100644 index db3c4016..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_75.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_75(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y76_PT_0 - y76_PT_0_weights = numpy.array([0.0,2.734266,4.124571,3.244044,2.626131,1.0659,0.7878393,0.4479871,0.1699261,0.06179132,0.04634349,0.07723915,0.0,0.03089566,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y76_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ b ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y76_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y76_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_75.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_75.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_75.eps') - -# Running! -if __name__ == '__main__': - selection_75() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_76.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_76.C deleted file mode 100644 index 9aa670db..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_76.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_76() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo153","canvas_plotflow_tempo153",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S77_ETA_0 = new TH1F("S77_ETA_0","S77_ETA_0",50,-8.0,8.0); - // Content - S77_ETA_0->SetBinContent(0,0.0); // underflow - S77_ETA_0->SetBinContent(1,0.0); - S77_ETA_0->SetBinContent(2,0.0); - S77_ETA_0->SetBinContent(3,0.0); - S77_ETA_0->SetBinContent(4,0.0); - S77_ETA_0->SetBinContent(5,0.0); - S77_ETA_0->SetBinContent(6,0.0); - S77_ETA_0->SetBinContent(7,0.0); - S77_ETA_0->SetBinContent(8,0.0); - S77_ETA_0->SetBinContent(9,0.0); - S77_ETA_0->SetBinContent(10,0.0); - S77_ETA_0->SetBinContent(11,0.0); - S77_ETA_0->SetBinContent(12,0.0); - S77_ETA_0->SetBinContent(13,0.0); - S77_ETA_0->SetBinContent(14,0.01544783); - S77_ETA_0->SetBinContent(15,0.04634349); - S77_ETA_0->SetBinContent(16,0.06179132); - S77_ETA_0->SetBinContent(17,0.2008218); - S77_ETA_0->SetBinContent(18,0.4016436); - S77_ETA_0->SetBinContent(19,0.3089566); - S77_ETA_0->SetBinContent(20,0.4943306); - S77_ETA_0->SetBinContent(21,0.7723915); - S77_ETA_0->SetBinContent(22,1.050452); - S77_ETA_0->SetBinContent(23,1.328513); - S77_ETA_0->SetBinContent(24,1.204931); - S77_ETA_0->SetBinContent(25,1.467544); - S77_ETA_0->SetBinContent(26,1.529335); - S77_ETA_0->SetBinContent(27,1.405753); - S77_ETA_0->SetBinContent(28,1.560231); - S77_ETA_0->SetBinContent(29,1.050452); - S77_ETA_0->SetBinContent(30,0.8032872); - S77_ETA_0->SetBinContent(31,0.6951523); - S77_ETA_0->SetBinContent(32,0.4016436); - S77_ETA_0->SetBinContent(33,0.3089566); - S77_ETA_0->SetBinContent(34,0.2008218); - S77_ETA_0->SetBinContent(35,0.1081348); - S77_ETA_0->SetBinContent(36,0.01544783); - S77_ETA_0->SetBinContent(37,0.01544783); - S77_ETA_0->SetBinContent(38,0.0); - S77_ETA_0->SetBinContent(39,0.0); - S77_ETA_0->SetBinContent(40,0.0); - S77_ETA_0->SetBinContent(41,0.0); - S77_ETA_0->SetBinContent(42,0.0); - S77_ETA_0->SetBinContent(43,0.0); - S77_ETA_0->SetBinContent(44,0.0); - S77_ETA_0->SetBinContent(45,0.0); - S77_ETA_0->SetBinContent(46,0.0); - S77_ETA_0->SetBinContent(47,0.0); - S77_ETA_0->SetBinContent(48,0.0); - S77_ETA_0->SetBinContent(49,0.0); - S77_ETA_0->SetBinContent(50,0.0); - S77_ETA_0->SetBinContent(51,0.0); // overflow - S77_ETA_0->SetEntries(1000); - // Style - S77_ETA_0->SetLineColor(9); - S77_ETA_0->SetLineStyle(1); - S77_ETA_0->SetLineWidth(1); - S77_ETA_0->SetFillColor(9); - S77_ETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_154","mystack"); - stack->Add(S77_ETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#eta [ b ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_76.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_76.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_76.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_76.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_76.py deleted file mode 100644 index a5e73e1d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_76.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_76(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y77_ETA_0 - y77_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.04634349,0.06179132,0.2008218,0.4016436,0.3089566,0.4943306,0.7723915,1.050452,1.328513,1.204931,1.467544,1.529335,1.405753,1.560231,1.050452,0.8032872,0.6951523,0.4016436,0.3089566,0.2008218,0.1081348,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y77_ETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\eta$ $[ b ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y77_ETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y77_ETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_76.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_76.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_76.eps') - -# Running! -if __name__ == '__main__': - selection_76() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_77.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_77.C deleted file mode 100644 index 158c3479..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_77.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_77() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo155","canvas_plotflow_tempo155",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S78_ABSETA_0 = new TH1F("S78_ABSETA_0","S78_ABSETA_0",50,0.0,8.0); - // Content - S78_ABSETA_0->SetBinContent(0,0.0); // underflow - S78_ABSETA_0->SetBinContent(1,1.575679); - S78_ABSETA_0->SetBinContent(2,1.4212); - S78_ABSETA_0->SetBinContent(3,1.297618); - S78_ABSETA_0->SetBinContent(4,1.313066); - S78_ABSETA_0->SetBinContent(5,1.560231); - S78_ABSETA_0->SetBinContent(6,1.328513); - S78_ABSETA_0->SetBinContent(7,1.081348); - S78_ABSETA_0->SetBinContent(8,1.019557); - S78_ABSETA_0->SetBinContent(9,0.8496306); - S78_ABSETA_0->SetBinContent(10,0.726048); - S78_ABSETA_0->SetBinContent(11,0.6642567); - S78_ABSETA_0->SetBinContent(12,0.5252262); - S78_ABSETA_0->SetBinContent(13,0.4170914); - S78_ABSETA_0->SetBinContent(14,0.2935088); - S78_ABSETA_0->SetBinContent(15,0.4170914); - S78_ABSETA_0->SetBinContent(16,0.2935088); - S78_ABSETA_0->SetBinContent(17,0.3089566); - S78_ABSETA_0->SetBinContent(18,0.09268698); - S78_ABSETA_0->SetBinContent(19,0.07723915); - S78_ABSETA_0->SetBinContent(20,0.09268698); - S78_ABSETA_0->SetBinContent(21,0.03089566); - S78_ABSETA_0->SetBinContent(22,0.03089566); - S78_ABSETA_0->SetBinContent(23,0.03089566); - S78_ABSETA_0->SetBinContent(24,0.0); - S78_ABSETA_0->SetBinContent(25,0.0); - S78_ABSETA_0->SetBinContent(26,0.0); - S78_ABSETA_0->SetBinContent(27,0.0); - S78_ABSETA_0->SetBinContent(28,0.0); - S78_ABSETA_0->SetBinContent(29,0.0); - S78_ABSETA_0->SetBinContent(30,0.0); - S78_ABSETA_0->SetBinContent(31,0.0); - S78_ABSETA_0->SetBinContent(32,0.0); - S78_ABSETA_0->SetBinContent(33,0.0); - S78_ABSETA_0->SetBinContent(34,0.0); - S78_ABSETA_0->SetBinContent(35,0.0); - S78_ABSETA_0->SetBinContent(36,0.0); - S78_ABSETA_0->SetBinContent(37,0.0); - S78_ABSETA_0->SetBinContent(38,0.0); - S78_ABSETA_0->SetBinContent(39,0.0); - S78_ABSETA_0->SetBinContent(40,0.0); - S78_ABSETA_0->SetBinContent(41,0.0); - S78_ABSETA_0->SetBinContent(42,0.0); - S78_ABSETA_0->SetBinContent(43,0.0); - S78_ABSETA_0->SetBinContent(44,0.0); - S78_ABSETA_0->SetBinContent(45,0.0); - S78_ABSETA_0->SetBinContent(46,0.0); - S78_ABSETA_0->SetBinContent(47,0.0); - S78_ABSETA_0->SetBinContent(48,0.0); - S78_ABSETA_0->SetBinContent(49,0.0); - S78_ABSETA_0->SetBinContent(50,0.0); - S78_ABSETA_0->SetBinContent(51,0.0); // overflow - S78_ABSETA_0->SetEntries(1000); - // Style - S78_ABSETA_0->SetLineColor(9); - S78_ABSETA_0->SetLineStyle(1); - S78_ABSETA_0->SetLineWidth(1); - S78_ABSETA_0->SetFillColor(9); - S78_ABSETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_156","mystack"); - stack->Add(S78_ABSETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("|#eta| [ b ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_77.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_77.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_77.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_77.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_77.py deleted file mode 100644 index ede9d70d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_77.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_77(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.08,0.24,0.4,0.56,0.72,0.88,1.04,1.2,1.36,1.52,1.68,1.84,2.0,2.16,2.32,2.48,2.64,2.8000000000000003,2.96,3.12,3.2800000000000002,3.44,3.6,3.7600000000000002,3.92,4.08,4.24,4.4,4.5600000000000005,4.72,4.88,5.04,5.2,5.36,5.5200000000000005,5.68,5.84,6.0,6.16,6.32,6.48,6.640000000000001,6.8,6.96,7.12,7.28,7.44,7.6000000000000005,7.76,7.92]) - - # Creating weights for histo: y78_ABSETA_0 - y78_ABSETA_0_weights = numpy.array([1.575679,1.4212,1.297618,1.313066,1.560231,1.328513,1.081348,1.019557,0.8496306,0.726048,0.6642567,0.5252262,0.4170914,0.2935088,0.4170914,0.2935088,0.3089566,0.09268698,0.07723915,0.09268698,0.03089566,0.03089566,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y78_ABSETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$|\eta|$ $[ b ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y78_ABSETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y78_ABSETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_77.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_77.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_77.eps') - -# Running! -if __name__ == '__main__': - selection_77() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_78.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_78.C deleted file mode 100644 index 2d7c340b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_78.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_78() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo157","canvas_plotflow_tempo157",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S79_PHI_0 = new TH1F("S79_PHI_0","S79_PHI_0",32,-3.2,3.2); - // Content - S79_PHI_0->SetBinContent(0,0.0); // underflow - S79_PHI_0->SetBinContent(1,0.185374); - S79_PHI_0->SetBinContent(2,0.726048); - S79_PHI_0->SetBinContent(3,0.4788827); - S79_PHI_0->SetBinContent(4,0.4943306); - S79_PHI_0->SetBinContent(5,0.4016436); - S79_PHI_0->SetBinContent(6,0.5561219); - S79_PHI_0->SetBinContent(7,0.4943306); - S79_PHI_0->SetBinContent(8,0.4479871); - S79_PHI_0->SetBinContent(9,0.3707479); - S79_PHI_0->SetBinContent(10,0.5097784); - S79_PHI_0->SetBinContent(11,0.4170914); - S79_PHI_0->SetBinContent(12,0.633361); - S79_PHI_0->SetBinContent(13,0.4325392); - S79_PHI_0->SetBinContent(14,0.6797045); - S79_PHI_0->SetBinContent(15,0.4634349); - S79_PHI_0->SetBinContent(16,0.4479871); - S79_PHI_0->SetBinContent(17,0.3553001); - S79_PHI_0->SetBinContent(18,0.4325392); - S79_PHI_0->SetBinContent(19,0.5252262); - S79_PHI_0->SetBinContent(20,0.3861957); - S79_PHI_0->SetBinContent(21,0.5715697); - S79_PHI_0->SetBinContent(22,0.6024654); - S79_PHI_0->SetBinContent(23,0.4479871); - S79_PHI_0->SetBinContent(24,0.3707479); - S79_PHI_0->SetBinContent(25,0.5715697); - S79_PHI_0->SetBinContent(26,0.633361); - S79_PHI_0->SetBinContent(27,0.3553001); - S79_PHI_0->SetBinContent(28,0.5561219); - S79_PHI_0->SetBinContent(29,0.6179132); - S79_PHI_0->SetBinContent(30,0.4325392); - S79_PHI_0->SetBinContent(31,0.5870175); - S79_PHI_0->SetBinContent(32,0.2626131); - S79_PHI_0->SetBinContent(33,0.0); // overflow - S79_PHI_0->SetEntries(1000); - // Style - S79_PHI_0->SetLineColor(9); - S79_PHI_0->SetLineStyle(1); - S79_PHI_0->SetLineWidth(1); - S79_PHI_0->SetFillColor(9); - S79_PHI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_158","mystack"); - stack->Add(S79_PHI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#phi [ b ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_78.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_78.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_78.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_78.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_78.py deleted file mode 100644 index 15299e6f..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_78.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_78(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) - - # Creating weights for histo: y79_PHI_0 - y79_PHI_0_weights = numpy.array([0.185374,0.726048,0.4788827,0.4943306,0.4016436,0.5561219,0.4943306,0.4479871,0.3707479,0.5097784,0.4170914,0.633361,0.4325392,0.6797045,0.4634349,0.4479871,0.3553001,0.4325392,0.5252262,0.3861957,0.5715697,0.6024654,0.4479871,0.3707479,0.5715697,0.633361,0.3553001,0.5561219,0.6179132,0.4325392,0.5870175,0.2626131]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y79_PHI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\phi$ $[ b ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y79_PHI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y79_PHI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_78.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_78.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_78.eps') - -# Running! -if __name__ == '__main__': - selection_78() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_79.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_79.C deleted file mode 100644 index 09f38fb0..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_79.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_79() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo159","canvas_plotflow_tempo159",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S80_E_0 = new TH1F("S80_E_0","S80_E_0",50,0.0,2000.0); - // Content - S80_E_0->SetBinContent(0,0.0); // underflow - S80_E_0->SetBinContent(1,0.8341828); - S80_E_0->SetBinContent(2,4.186362); - S80_E_0->SetBinContent(3,3.831062); - S80_E_0->SetBinContent(4,2.224487); - S80_E_0->SetBinContent(5,1.359409); - S80_E_0->SetBinContent(6,0.8650785); - S80_E_0->SetBinContent(7,0.7414958); - S80_E_0->SetBinContent(8,0.3553001); - S80_E_0->SetBinContent(9,0.2780609); - S80_E_0->SetBinContent(10,0.2008218); - S80_E_0->SetBinContent(11,0.1235826); - S80_E_0->SetBinContent(12,0.1235826); - S80_E_0->SetBinContent(13,0.1390305); - S80_E_0->SetBinContent(14,0.07723915); - S80_E_0->SetBinContent(15,0.06179132); - S80_E_0->SetBinContent(16,0.01544783); - S80_E_0->SetBinContent(17,0.01544783); - S80_E_0->SetBinContent(18,0.0); - S80_E_0->SetBinContent(19,0.0); - S80_E_0->SetBinContent(20,0.0); - S80_E_0->SetBinContent(21,0.0); - S80_E_0->SetBinContent(22,0.0); - S80_E_0->SetBinContent(23,0.0); - S80_E_0->SetBinContent(24,0.01544783); - S80_E_0->SetBinContent(25,0.0); - S80_E_0->SetBinContent(26,0.0); - S80_E_0->SetBinContent(27,0.0); - S80_E_0->SetBinContent(28,0.0); - S80_E_0->SetBinContent(29,0.0); - S80_E_0->SetBinContent(30,0.0); - S80_E_0->SetBinContent(31,0.0); - S80_E_0->SetBinContent(32,0.0); - S80_E_0->SetBinContent(33,0.0); - S80_E_0->SetBinContent(34,0.0); - S80_E_0->SetBinContent(35,0.0); - S80_E_0->SetBinContent(36,0.0); - S80_E_0->SetBinContent(37,0.0); - S80_E_0->SetBinContent(38,0.0); - S80_E_0->SetBinContent(39,0.0); - S80_E_0->SetBinContent(40,0.0); - S80_E_0->SetBinContent(41,0.0); - S80_E_0->SetBinContent(42,0.0); - S80_E_0->SetBinContent(43,0.0); - S80_E_0->SetBinContent(44,0.0); - S80_E_0->SetBinContent(45,0.0); - S80_E_0->SetBinContent(46,0.0); - S80_E_0->SetBinContent(47,0.0); - S80_E_0->SetBinContent(48,0.0); - S80_E_0->SetBinContent(49,0.0); - S80_E_0->SetBinContent(50,0.0); - S80_E_0->SetBinContent(51,0.0); // overflow - S80_E_0->SetEntries(1000); - // Style - S80_E_0->SetLineColor(9); - S80_E_0->SetLineStyle(1); - S80_E_0->SetLineWidth(1); - S80_E_0->SetFillColor(9); - S80_E_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_160","mystack"); - stack->Add(S80_E_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E [ b ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_79.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_79.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_79.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_79.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_79.py deleted file mode 100644 index ac5fba9e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_79.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_79(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y80_E_0 - y80_E_0_weights = numpy.array([0.8341828,4.186362,3.831062,2.224487,1.359409,0.8650785,0.7414958,0.3553001,0.2780609,0.2008218,0.1235826,0.1235826,0.1390305,0.07723915,0.06179132,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y80_E_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E$ $[ b ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y80_E_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y80_E_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_79.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_79.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_79.eps') - -# Running! -if __name__ == '__main__': - selection_79() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_8.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_8.C deleted file mode 100644 index e67a561a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_8.C +++ /dev/null @@ -1,105 +0,0 @@ -void selection_8() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo17","canvas_plotflow_tempo17",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S9_NPID_0 = new TH1F("S9_NPID_0","S9_NPID_0",18,0.0,18); - // Content - S9_NPID_0->SetBinContent(0,0.0); // underflow - S9_NPID_0->SetBinContent(1,4.078227); - S9_NPID_0->SetBinContent(2,3.553001); - S9_NPID_0->SetBinContent(3,3.583897); - S9_NPID_0->SetBinContent(4,4.232705); - S9_NPID_0->SetBinContent(5,15.44783); - S9_NPID_0->SetBinContent(6,3.692031); - S9_NPID_0->SetBinContent(7,3.614792); - S9_NPID_0->SetBinContent(8,4.093675); - S9_NPID_0->SetBinContent(9,4.047331); - S9_NPID_0->SetBinContent(10,4.093675); - S9_NPID_0->SetBinContent(11,4.047331); - S9_NPID_0->SetBinContent(12,3.692031); - S9_NPID_0->SetBinContent(13,3.614792); - S9_NPID_0->SetBinContent(14,15.44783); - S9_NPID_0->SetBinContent(15,3.583897); - S9_NPID_0->SetBinContent(16,4.232705); - S9_NPID_0->SetBinContent(17,4.078227); - S9_NPID_0->SetBinContent(18,3.553001); - S9_NPID_0->SetBinContent(19,0.0); // overflow - S9_NPID_0->SetEntries(0); - // Style - S9_NPID_0->SetLineColor(9); - S9_NPID_0->SetLineStyle(1); - S9_NPID_0->SetLineWidth(1); - S9_NPID_0->SetFillColor(9); - S9_NPID_0->SetFillStyle(1001); - S9_NPID_0->SetBarWidth(0.8); - S9_NPID_0->SetBarOffset(0.1); - - // Creating a new THStack - THStack* stack = new THStack("mystack_18","mystack"); - stack->Add(S9_NPID_0); - stack->Draw("bar1"); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of particles (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("NPID "); - stack->GetXaxis()->SetBinLabel(1,"vm~"); - stack->GetXaxis()->SetBinLabel(2,"mu+"); - stack->GetXaxis()->SetBinLabel(3,"ve~"); - stack->GetXaxis()->SetBinLabel(4,"e+"); - stack->GetXaxis()->SetBinLabel(5,"b~"); - stack->GetXaxis()->SetBinLabel(6,"c~"); - stack->GetXaxis()->SetBinLabel(7,"s~"); - stack->GetXaxis()->SetBinLabel(8,"u~"); - stack->GetXaxis()->SetBinLabel(9,"d~"); - stack->GetXaxis()->SetBinLabel(10,"d"); - stack->GetXaxis()->SetBinLabel(11,"u"); - stack->GetXaxis()->SetBinLabel(12,"s"); - stack->GetXaxis()->SetBinLabel(13,"c"); - stack->GetXaxis()->SetBinLabel(14,"b"); - stack->GetXaxis()->SetBinLabel(15,"e-"); - stack->GetXaxis()->SetBinLabel(16,"ve"); - stack->GetXaxis()->SetBinLabel(17,"mu-"); - stack->GetXaxis()->SetBinLabel(18,"vm"); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_8.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_8.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_8.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_8.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_8.py deleted file mode 100644 index 736eb9ef..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_8.py +++ /dev/null @@ -1,66 +0,0 @@ -def selection_8(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,18,19,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5,12.5,13.5,14.5,15.5,16.5,17.5]) - - # Creating weights for histo: y9_NPID_0 - y9_NPID_0_weights = numpy.array([4.078227,3.553001,3.583897,4.232705,15.44783,3.692031,3.614792,4.093675,4.047331,4.093675,4.047331,3.692031,3.614792,15.44783,3.583897,4.232705,4.078227,3.553001]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y9_NPID_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$NPID$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ \mathrm{particles}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y9_NPID_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y9_NPID_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Labels for x-Axis - xLabels = numpy.array(["vm~","mu+","ve~","e+","b~","c~","s~","u~","d~","d","u","s","c","b","e-","ve","mu-","vm"]) - plt.xticks(xData, xLabels, rotation="vertical") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_8.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_8.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_8.eps') - -# Running! -if __name__ == '__main__': - selection_8() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_80.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_80.C deleted file mode 100644 index fead93f0..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_80.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_80() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo161","canvas_plotflow_tempo161",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S81_ET_0 = new TH1F("S81_ET_0","S81_ET_0",50,0.0,2000.0); - // Content - S81_ET_0->SetBinContent(0,0.0); // underflow - S81_ET_0->SetBinContent(1,2.718818); - S81_ET_0->SetBinContent(2,7.337719); - S81_ET_0->SetBinContent(3,3.722927); - S81_ET_0->SetBinContent(4,1.251274); - S81_ET_0->SetBinContent(5,0.2317174); - S81_ET_0->SetBinContent(6,0.1235826); - S81_ET_0->SetBinContent(7,0.03089566); - S81_ET_0->SetBinContent(8,0.03089566); - S81_ET_0->SetBinContent(9,0.0); - S81_ET_0->SetBinContent(10,0.0); - S81_ET_0->SetBinContent(11,0.0); - S81_ET_0->SetBinContent(12,0.0); - S81_ET_0->SetBinContent(13,0.0); - S81_ET_0->SetBinContent(14,0.0); - S81_ET_0->SetBinContent(15,0.0); - S81_ET_0->SetBinContent(16,0.0); - S81_ET_0->SetBinContent(17,0.0); - S81_ET_0->SetBinContent(18,0.0); - S81_ET_0->SetBinContent(19,0.0); - S81_ET_0->SetBinContent(20,0.0); - S81_ET_0->SetBinContent(21,0.0); - S81_ET_0->SetBinContent(22,0.0); - S81_ET_0->SetBinContent(23,0.0); - S81_ET_0->SetBinContent(24,0.0); - S81_ET_0->SetBinContent(25,0.0); - S81_ET_0->SetBinContent(26,0.0); - S81_ET_0->SetBinContent(27,0.0); - S81_ET_0->SetBinContent(28,0.0); - S81_ET_0->SetBinContent(29,0.0); - S81_ET_0->SetBinContent(30,0.0); - S81_ET_0->SetBinContent(31,0.0); - S81_ET_0->SetBinContent(32,0.0); - S81_ET_0->SetBinContent(33,0.0); - S81_ET_0->SetBinContent(34,0.0); - S81_ET_0->SetBinContent(35,0.0); - S81_ET_0->SetBinContent(36,0.0); - S81_ET_0->SetBinContent(37,0.0); - S81_ET_0->SetBinContent(38,0.0); - S81_ET_0->SetBinContent(39,0.0); - S81_ET_0->SetBinContent(40,0.0); - S81_ET_0->SetBinContent(41,0.0); - S81_ET_0->SetBinContent(42,0.0); - S81_ET_0->SetBinContent(43,0.0); - S81_ET_0->SetBinContent(44,0.0); - S81_ET_0->SetBinContent(45,0.0); - S81_ET_0->SetBinContent(46,0.0); - S81_ET_0->SetBinContent(47,0.0); - S81_ET_0->SetBinContent(48,0.0); - S81_ET_0->SetBinContent(49,0.0); - S81_ET_0->SetBinContent(50,0.0); - S81_ET_0->SetBinContent(51,0.0); // overflow - S81_ET_0->SetEntries(1000); - // Style - S81_ET_0->SetLineColor(9); - S81_ET_0->SetLineStyle(1); - S81_ET_0->SetLineWidth(1); - S81_ET_0->SetFillColor(9); - S81_ET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_162","mystack"); - stack->Add(S81_ET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E_{T} [ b ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_80.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_80.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_80.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_80.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_80.py deleted file mode 100644 index c43e5ef3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_80.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_80(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y81_ET_0 - y81_ET_0_weights = numpy.array([2.718818,7.337719,3.722927,1.251274,0.2317174,0.1235826,0.03089566,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y81_ET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E_{T}$ $[ b ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y81_ET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y81_ET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_80.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_80.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_80.eps') - -# Running! -if __name__ == '__main__': - selection_80() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_81.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_81.C deleted file mode 100644 index 1fa5634c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_81.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_81() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo163","canvas_plotflow_tempo163",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S82_M_0 = new TH1F("S82_M_0","S82_M_0",50,0.0,50.0); - // Content - S82_M_0->SetBinContent(0,0.0); // underflow - S82_M_0->SetBinContent(1,0.0); - S82_M_0->SetBinContent(2,0.0); - S82_M_0->SetBinContent(3,0.0); - S82_M_0->SetBinContent(4,0.0); - S82_M_0->SetBinContent(5,15.44783); - S82_M_0->SetBinContent(6,0.0); - S82_M_0->SetBinContent(7,0.0); - S82_M_0->SetBinContent(8,0.0); - S82_M_0->SetBinContent(9,0.0); - S82_M_0->SetBinContent(10,0.0); - S82_M_0->SetBinContent(11,0.0); - S82_M_0->SetBinContent(12,0.0); - S82_M_0->SetBinContent(13,0.0); - S82_M_0->SetBinContent(14,0.0); - S82_M_0->SetBinContent(15,0.0); - S82_M_0->SetBinContent(16,0.0); - S82_M_0->SetBinContent(17,0.0); - S82_M_0->SetBinContent(18,0.0); - S82_M_0->SetBinContent(19,0.0); - S82_M_0->SetBinContent(20,0.0); - S82_M_0->SetBinContent(21,0.0); - S82_M_0->SetBinContent(22,0.0); - S82_M_0->SetBinContent(23,0.0); - S82_M_0->SetBinContent(24,0.0); - S82_M_0->SetBinContent(25,0.0); - S82_M_0->SetBinContent(26,0.0); - S82_M_0->SetBinContent(27,0.0); - S82_M_0->SetBinContent(28,0.0); - S82_M_0->SetBinContent(29,0.0); - S82_M_0->SetBinContent(30,0.0); - S82_M_0->SetBinContent(31,0.0); - S82_M_0->SetBinContent(32,0.0); - S82_M_0->SetBinContent(33,0.0); - S82_M_0->SetBinContent(34,0.0); - S82_M_0->SetBinContent(35,0.0); - S82_M_0->SetBinContent(36,0.0); - S82_M_0->SetBinContent(37,0.0); - S82_M_0->SetBinContent(38,0.0); - S82_M_0->SetBinContent(39,0.0); - S82_M_0->SetBinContent(40,0.0); - S82_M_0->SetBinContent(41,0.0); - S82_M_0->SetBinContent(42,0.0); - S82_M_0->SetBinContent(43,0.0); - S82_M_0->SetBinContent(44,0.0); - S82_M_0->SetBinContent(45,0.0); - S82_M_0->SetBinContent(46,0.0); - S82_M_0->SetBinContent(47,0.0); - S82_M_0->SetBinContent(48,0.0); - S82_M_0->SetBinContent(49,0.0); - S82_M_0->SetBinContent(50,0.0); - S82_M_0->SetBinContent(51,0.0); // overflow - S82_M_0->SetEntries(1000); - // Style - S82_M_0->SetLineColor(9); - S82_M_0->SetLineStyle(1); - S82_M_0->SetLineWidth(1); - S82_M_0->SetFillColor(9); - S82_M_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_164","mystack"); - stack->Add(S82_M_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M [ b ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_81.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_81.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_81.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_81.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_81.py deleted file mode 100644 index 4a84e99c..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_81.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_81(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,50.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5,12.5,13.5,14.5,15.5,16.5,17.5,18.5,19.5,20.5,21.5,22.5,23.5,24.5,25.5,26.5,27.5,28.5,29.5,30.5,31.5,32.5,33.5,34.5,35.5,36.5,37.5,38.5,39.5,40.5,41.5,42.5,43.5,44.5,45.5,46.5,47.5,48.5,49.5]) - - # Creating weights for histo: y82_M_0 - y82_M_0_weights = numpy.array([0.0,0.0,0.0,0.0,15.44783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y82_M_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M$ $[ b ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y82_M_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y82_M_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_81.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_81.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_81.eps') - -# Running! -if __name__ == '__main__': - selection_81() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_82.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_82.C deleted file mode 100644 index f789a10d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_82.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_82() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo165","canvas_plotflow_tempo165",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S83_MT_0 = new TH1F("S83_MT_0","S83_MT_0",50,0.0,1000.0); - // Content - S83_MT_0->SetBinContent(0,0.0); // underflow - S83_MT_0->SetBinContent(1,15.44783); - S83_MT_0->SetBinContent(2,0.0); - S83_MT_0->SetBinContent(3,0.0); - S83_MT_0->SetBinContent(4,0.0); - S83_MT_0->SetBinContent(5,0.0); - S83_MT_0->SetBinContent(6,0.0); - S83_MT_0->SetBinContent(7,0.0); - S83_MT_0->SetBinContent(8,0.0); - S83_MT_0->SetBinContent(9,0.0); - S83_MT_0->SetBinContent(10,0.0); - S83_MT_0->SetBinContent(11,0.0); - S83_MT_0->SetBinContent(12,0.0); - S83_MT_0->SetBinContent(13,0.0); - S83_MT_0->SetBinContent(14,0.0); - S83_MT_0->SetBinContent(15,0.0); - S83_MT_0->SetBinContent(16,0.0); - S83_MT_0->SetBinContent(17,0.0); - S83_MT_0->SetBinContent(18,0.0); - S83_MT_0->SetBinContent(19,0.0); - S83_MT_0->SetBinContent(20,0.0); - S83_MT_0->SetBinContent(21,0.0); - S83_MT_0->SetBinContent(22,0.0); - S83_MT_0->SetBinContent(23,0.0); - S83_MT_0->SetBinContent(24,0.0); - S83_MT_0->SetBinContent(25,0.0); - S83_MT_0->SetBinContent(26,0.0); - S83_MT_0->SetBinContent(27,0.0); - S83_MT_0->SetBinContent(28,0.0); - S83_MT_0->SetBinContent(29,0.0); - S83_MT_0->SetBinContent(30,0.0); - S83_MT_0->SetBinContent(31,0.0); - S83_MT_0->SetBinContent(32,0.0); - S83_MT_0->SetBinContent(33,0.0); - S83_MT_0->SetBinContent(34,0.0); - S83_MT_0->SetBinContent(35,0.0); - S83_MT_0->SetBinContent(36,0.0); - S83_MT_0->SetBinContent(37,0.0); - S83_MT_0->SetBinContent(38,0.0); - S83_MT_0->SetBinContent(39,0.0); - S83_MT_0->SetBinContent(40,0.0); - S83_MT_0->SetBinContent(41,0.0); - S83_MT_0->SetBinContent(42,0.0); - S83_MT_0->SetBinContent(43,0.0); - S83_MT_0->SetBinContent(44,0.0); - S83_MT_0->SetBinContent(45,0.0); - S83_MT_0->SetBinContent(46,0.0); - S83_MT_0->SetBinContent(47,0.0); - S83_MT_0->SetBinContent(48,0.0); - S83_MT_0->SetBinContent(49,0.0); - S83_MT_0->SetBinContent(50,0.0); - S83_MT_0->SetBinContent(51,0.0); // overflow - S83_MT_0->SetEntries(1000); - // Style - S83_MT_0->SetLineColor(9); - S83_MT_0->SetLineStyle(1); - S83_MT_0->SetLineWidth(1); - S83_MT_0->SetFillColor(9); - S83_MT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_166","mystack"); - stack->Add(S83_MT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ b ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_82.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_82.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_82.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_82.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_82.py deleted file mode 100644 index 135660e0..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_82.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_82(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y83_MT_0 - y83_MT_0_weights = numpy.array([15.44783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y83_MT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ b ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y83_MT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y83_MT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_82.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_82.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_82.eps') - -# Running! -if __name__ == '__main__': - selection_82() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_83.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_83.C deleted file mode 100644 index 533a4474..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_83.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_83() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo167","canvas_plotflow_tempo167",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S84_MT_MET_0 = new TH1F("S84_MT_MET_0","S84_MT_MET_0",50,0.0,1000.0); - // Content - S84_MT_MET_0->SetBinContent(0,0.0); // underflow - S84_MT_MET_0->SetBinContent(1,1.266722); - S84_MT_MET_0->SetBinContent(2,1.683813); - S84_MT_MET_0->SetBinContent(3,1.930979); - S84_MT_MET_0->SetBinContent(4,2.224487); - S84_MT_MET_0->SetBinContent(5,2.579788); - S84_MT_MET_0->SetBinContent(6,2.502548); - S84_MT_MET_0->SetBinContent(7,1.405753); - S84_MT_MET_0->SetBinContent(8,0.8805263); - S84_MT_MET_0->SetBinContent(9,0.3398523); - S84_MT_MET_0->SetBinContent(10,0.1699261); - S84_MT_MET_0->SetBinContent(11,0.09268698); - S84_MT_MET_0->SetBinContent(12,0.1235826); - S84_MT_MET_0->SetBinContent(13,0.06179132); - S84_MT_MET_0->SetBinContent(14,0.04634349); - S84_MT_MET_0->SetBinContent(15,0.06179132); - S84_MT_MET_0->SetBinContent(16,0.03089566); - S84_MT_MET_0->SetBinContent(17,0.01544783); - S84_MT_MET_0->SetBinContent(18,0.0); - S84_MT_MET_0->SetBinContent(19,0.0); - S84_MT_MET_0->SetBinContent(20,0.0); - S84_MT_MET_0->SetBinContent(21,0.0); - S84_MT_MET_0->SetBinContent(22,0.0); - S84_MT_MET_0->SetBinContent(23,0.01544783); - S84_MT_MET_0->SetBinContent(24,0.0); - S84_MT_MET_0->SetBinContent(25,0.0); - S84_MT_MET_0->SetBinContent(26,0.0); - S84_MT_MET_0->SetBinContent(27,0.0); - S84_MT_MET_0->SetBinContent(28,0.0); - S84_MT_MET_0->SetBinContent(29,0.0); - S84_MT_MET_0->SetBinContent(30,0.0); - S84_MT_MET_0->SetBinContent(31,0.01544783); - S84_MT_MET_0->SetBinContent(32,0.0); - S84_MT_MET_0->SetBinContent(33,0.0); - S84_MT_MET_0->SetBinContent(34,0.0); - S84_MT_MET_0->SetBinContent(35,0.0); - S84_MT_MET_0->SetBinContent(36,0.0); - S84_MT_MET_0->SetBinContent(37,0.0); - S84_MT_MET_0->SetBinContent(38,0.0); - S84_MT_MET_0->SetBinContent(39,0.0); - S84_MT_MET_0->SetBinContent(40,0.0); - S84_MT_MET_0->SetBinContent(41,0.0); - S84_MT_MET_0->SetBinContent(42,0.0); - S84_MT_MET_0->SetBinContent(43,0.0); - S84_MT_MET_0->SetBinContent(44,0.0); - S84_MT_MET_0->SetBinContent(45,0.0); - S84_MT_MET_0->SetBinContent(46,0.0); - S84_MT_MET_0->SetBinContent(47,0.0); - S84_MT_MET_0->SetBinContent(48,0.0); - S84_MT_MET_0->SetBinContent(49,0.0); - S84_MT_MET_0->SetBinContent(50,0.0); - S84_MT_MET_0->SetBinContent(51,0.0); // overflow - S84_MT_MET_0->SetEntries(1000); - // Style - S84_MT_MET_0->SetLineColor(9); - S84_MT_MET_0->SetLineStyle(1); - S84_MT_MET_0->SetLineWidth(1); - S84_MT_MET_0->SetFillColor(9); - S84_MT_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_168","mystack"); - stack->Add(S84_MT_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ b ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_83.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_83.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_83.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_83.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_83.py deleted file mode 100644 index 11890f20..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_83.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_83(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y84_MT_MET_0 - y84_MT_MET_0_weights = numpy.array([1.266722,1.683813,1.930979,2.224487,2.579788,2.502548,1.405753,0.8805263,0.3398523,0.1699261,0.09268698,0.1235826,0.06179132,0.04634349,0.06179132,0.03089566,0.01544783,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y84_MT_MET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ b ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y84_MT_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y84_MT_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_83.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_83.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_83.eps') - -# Running! -if __name__ == '__main__': - selection_83() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_84.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_84.C deleted file mode 100644 index db703e17..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_84.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_84() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo169","canvas_plotflow_tempo169",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S85_P_0 = new TH1F("S85_P_0","S85_P_0",50,0.0,2000.0); - // Content - S85_P_0->SetBinContent(0,0.0); // underflow - S85_P_0->SetBinContent(1,0.8496306); - S85_P_0->SetBinContent(2,4.170914); - S85_P_0->SetBinContent(3,3.84651); - S85_P_0->SetBinContent(4,2.224487); - S85_P_0->SetBinContent(5,1.343961); - S85_P_0->SetBinContent(6,0.8650785); - S85_P_0->SetBinContent(7,0.7414958); - S85_P_0->SetBinContent(8,0.3553001); - S85_P_0->SetBinContent(9,0.2780609); - S85_P_0->SetBinContent(10,0.2008218); - S85_P_0->SetBinContent(11,0.1235826); - S85_P_0->SetBinContent(12,0.1235826); - S85_P_0->SetBinContent(13,0.1390305); - S85_P_0->SetBinContent(14,0.07723915); - S85_P_0->SetBinContent(15,0.06179132); - S85_P_0->SetBinContent(16,0.01544783); - S85_P_0->SetBinContent(17,0.01544783); - S85_P_0->SetBinContent(18,0.0); - S85_P_0->SetBinContent(19,0.0); - S85_P_0->SetBinContent(20,0.0); - S85_P_0->SetBinContent(21,0.0); - S85_P_0->SetBinContent(22,0.0); - S85_P_0->SetBinContent(23,0.0); - S85_P_0->SetBinContent(24,0.01544783); - S85_P_0->SetBinContent(25,0.0); - S85_P_0->SetBinContent(26,0.0); - S85_P_0->SetBinContent(27,0.0); - S85_P_0->SetBinContent(28,0.0); - S85_P_0->SetBinContent(29,0.0); - S85_P_0->SetBinContent(30,0.0); - S85_P_0->SetBinContent(31,0.0); - S85_P_0->SetBinContent(32,0.0); - S85_P_0->SetBinContent(33,0.0); - S85_P_0->SetBinContent(34,0.0); - S85_P_0->SetBinContent(35,0.0); - S85_P_0->SetBinContent(36,0.0); - S85_P_0->SetBinContent(37,0.0); - S85_P_0->SetBinContent(38,0.0); - S85_P_0->SetBinContent(39,0.0); - S85_P_0->SetBinContent(40,0.0); - S85_P_0->SetBinContent(41,0.0); - S85_P_0->SetBinContent(42,0.0); - S85_P_0->SetBinContent(43,0.0); - S85_P_0->SetBinContent(44,0.0); - S85_P_0->SetBinContent(45,0.0); - S85_P_0->SetBinContent(46,0.0); - S85_P_0->SetBinContent(47,0.0); - S85_P_0->SetBinContent(48,0.0); - S85_P_0->SetBinContent(49,0.0); - S85_P_0->SetBinContent(50,0.0); - S85_P_0->SetBinContent(51,0.0); // overflow - S85_P_0->SetEntries(1000); - // Style - S85_P_0->SetLineColor(9); - S85_P_0->SetLineStyle(1); - S85_P_0->SetLineWidth(1); - S85_P_0->SetFillColor(9); - S85_P_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_170","mystack"); - stack->Add(S85_P_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p [ b ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_84.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_84.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_84.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_84.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_84.py deleted file mode 100644 index dfb81ae6..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_84.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_84(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y85_P_0 - y85_P_0_weights = numpy.array([0.8496306,4.170914,3.84651,2.224487,1.343961,0.8650785,0.7414958,0.3553001,0.2780609,0.2008218,0.1235826,0.1235826,0.1390305,0.07723915,0.06179132,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y85_P_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p$ $[ b ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y85_P_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y85_P_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_84.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_84.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_84.eps') - -# Running! -if __name__ == '__main__': - selection_84() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_85.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_85.C deleted file mode 100644 index 881db5f3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_85.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_85() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo171","canvas_plotflow_tempo171",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S86_PX_0 = new TH1F("S86_PX_0","S86_PX_0",50,-1000.0,1000.0); - // Content - S86_PX_0->SetBinContent(0,0.0); // underflow - S86_PX_0->SetBinContent(1,0.0); - S86_PX_0->SetBinContent(2,0.0); - S86_PX_0->SetBinContent(3,0.0); - S86_PX_0->SetBinContent(4,0.0); - S86_PX_0->SetBinContent(5,0.0); - S86_PX_0->SetBinContent(6,0.0); - S86_PX_0->SetBinContent(7,0.0); - S86_PX_0->SetBinContent(8,0.0); - S86_PX_0->SetBinContent(9,0.0); - S86_PX_0->SetBinContent(10,0.0); - S86_PX_0->SetBinContent(11,0.0); - S86_PX_0->SetBinContent(12,0.0); - S86_PX_0->SetBinContent(13,0.0); - S86_PX_0->SetBinContent(14,0.0); - S86_PX_0->SetBinContent(15,0.0); - S86_PX_0->SetBinContent(16,0.0); - S86_PX_0->SetBinContent(17,0.0); - S86_PX_0->SetBinContent(18,0.0); - S86_PX_0->SetBinContent(19,0.0); - S86_PX_0->SetBinContent(20,0.03089566); - S86_PX_0->SetBinContent(21,0.07723915); - S86_PX_0->SetBinContent(22,0.1699261); - S86_PX_0->SetBinContent(23,0.8496306); - S86_PX_0->SetBinContent(24,2.811505); - S86_PX_0->SetBinContent(25,3.98554); - S86_PX_0->SetBinContent(26,3.892853); - S86_PX_0->SetBinContent(27,2.595235); - S86_PX_0->SetBinContent(28,0.818735); - S86_PX_0->SetBinContent(29,0.1390305); - S86_PX_0->SetBinContent(30,0.04634349); - S86_PX_0->SetBinContent(31,0.03089566); - S86_PX_0->SetBinContent(32,0.0); - S86_PX_0->SetBinContent(33,0.0); - S86_PX_0->SetBinContent(34,0.0); - S86_PX_0->SetBinContent(35,0.0); - S86_PX_0->SetBinContent(36,0.0); - S86_PX_0->SetBinContent(37,0.0); - S86_PX_0->SetBinContent(38,0.0); - S86_PX_0->SetBinContent(39,0.0); - S86_PX_0->SetBinContent(40,0.0); - S86_PX_0->SetBinContent(41,0.0); - S86_PX_0->SetBinContent(42,0.0); - S86_PX_0->SetBinContent(43,0.0); - S86_PX_0->SetBinContent(44,0.0); - S86_PX_0->SetBinContent(45,0.0); - S86_PX_0->SetBinContent(46,0.0); - S86_PX_0->SetBinContent(47,0.0); - S86_PX_0->SetBinContent(48,0.0); - S86_PX_0->SetBinContent(49,0.0); - S86_PX_0->SetBinContent(50,0.0); - S86_PX_0->SetBinContent(51,0.0); // overflow - S86_PX_0->SetEntries(1000); - // Style - S86_PX_0->SetLineColor(9); - S86_PX_0->SetLineStyle(1); - S86_PX_0->SetLineWidth(1); - S86_PX_0->SetFillColor(9); - S86_PX_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_172","mystack"); - stack->Add(S86_PX_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{x} [ b ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_85.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_85.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_85.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_85.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_85.py deleted file mode 100644 index b833746a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_85.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_85(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) - - # Creating weights for histo: y86_PX_0 - y86_PX_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03089566,0.07723915,0.1699261,0.8496306,2.811505,3.98554,3.892853,2.595235,0.818735,0.1390305,0.04634349,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y86_PX_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{x}$ $[ b ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y86_PX_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y86_PX_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_85.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_85.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_85.eps') - -# Running! -if __name__ == '__main__': - selection_85() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_86.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_86.C deleted file mode 100644 index 4c664b2e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_86.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_86() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo173","canvas_plotflow_tempo173",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S87_PY_0 = new TH1F("S87_PY_0","S87_PY_0",50,-1000.0,1000.0); - // Content - S87_PY_0->SetBinContent(0,0.0); // underflow - S87_PY_0->SetBinContent(1,0.0); - S87_PY_0->SetBinContent(2,0.0); - S87_PY_0->SetBinContent(3,0.0); - S87_PY_0->SetBinContent(4,0.0); - S87_PY_0->SetBinContent(5,0.0); - S87_PY_0->SetBinContent(6,0.0); - S87_PY_0->SetBinContent(7,0.0); - S87_PY_0->SetBinContent(8,0.0); - S87_PY_0->SetBinContent(9,0.0); - S87_PY_0->SetBinContent(10,0.0); - S87_PY_0->SetBinContent(11,0.0); - S87_PY_0->SetBinContent(12,0.0); - S87_PY_0->SetBinContent(13,0.0); - S87_PY_0->SetBinContent(14,0.0); - S87_PY_0->SetBinContent(15,0.0); - S87_PY_0->SetBinContent(16,0.0); - S87_PY_0->SetBinContent(17,0.0); - S87_PY_0->SetBinContent(18,0.0); - S87_PY_0->SetBinContent(19,0.01544783); - S87_PY_0->SetBinContent(20,0.01544783); - S87_PY_0->SetBinContent(21,0.07723915); - S87_PY_0->SetBinContent(22,0.2317174); - S87_PY_0->SetBinContent(23,0.7414958); - S87_PY_0->SetBinContent(24,2.718818); - S87_PY_0->SetBinContent(25,3.939197); - S87_PY_0->SetBinContent(26,3.692031); - S87_PY_0->SetBinContent(27,2.780609); - S87_PY_0->SetBinContent(28,0.8650785); - S87_PY_0->SetBinContent(29,0.3089566); - S87_PY_0->SetBinContent(30,0.04634349); - S87_PY_0->SetBinContent(31,0.01544783); - S87_PY_0->SetBinContent(32,0.0); - S87_PY_0->SetBinContent(33,0.0); - S87_PY_0->SetBinContent(34,0.0); - S87_PY_0->SetBinContent(35,0.0); - S87_PY_0->SetBinContent(36,0.0); - S87_PY_0->SetBinContent(37,0.0); - S87_PY_0->SetBinContent(38,0.0); - S87_PY_0->SetBinContent(39,0.0); - S87_PY_0->SetBinContent(40,0.0); - S87_PY_0->SetBinContent(41,0.0); - S87_PY_0->SetBinContent(42,0.0); - S87_PY_0->SetBinContent(43,0.0); - S87_PY_0->SetBinContent(44,0.0); - S87_PY_0->SetBinContent(45,0.0); - S87_PY_0->SetBinContent(46,0.0); - S87_PY_0->SetBinContent(47,0.0); - S87_PY_0->SetBinContent(48,0.0); - S87_PY_0->SetBinContent(49,0.0); - S87_PY_0->SetBinContent(50,0.0); - S87_PY_0->SetBinContent(51,0.0); // overflow - S87_PY_0->SetEntries(1000); - // Style - S87_PY_0->SetLineColor(9); - S87_PY_0->SetLineStyle(1); - S87_PY_0->SetLineWidth(1); - S87_PY_0->SetFillColor(9); - S87_PY_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_174","mystack"); - stack->Add(S87_PY_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{y} [ b ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_86.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_86.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_86.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_86.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_86.py deleted file mode 100644 index 65b4a521..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_86.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_86(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-1000.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-980.0,-940.0,-900.0,-860.0,-820.0,-780.0,-740.0,-700.0,-660.0,-620.0,-580.0,-540.0,-500.0,-460.0,-420.0,-380.0,-340.0,-300.0,-260.0,-220.0,-180.0,-140.0,-100.0,-60.0,-20.0,20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0]) - - # Creating weights for histo: y87_PY_0 - y87_PY_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.01544783,0.07723915,0.2317174,0.7414958,2.718818,3.939197,3.692031,2.780609,0.8650785,0.3089566,0.04634349,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y87_PY_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{y}$ $[ b ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y87_PY_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y87_PY_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_86.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_86.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_86.eps') - -# Running! -if __name__ == '__main__': - selection_86() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_87.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_87.C deleted file mode 100644 index 4e29726d..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_87.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_87() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo175","canvas_plotflow_tempo175",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S88_PZ_0 = new TH1F("S88_PZ_0","S88_PZ_0",50,-2000.0,2000.0); - // Content - S88_PZ_0->SetBinContent(0,0.0); // underflow - S88_PZ_0->SetBinContent(1,0.0); - S88_PZ_0->SetBinContent(2,0.0); - S88_PZ_0->SetBinContent(3,0.0); - S88_PZ_0->SetBinContent(4,0.0); - S88_PZ_0->SetBinContent(5,0.0); - S88_PZ_0->SetBinContent(6,0.0); - S88_PZ_0->SetBinContent(7,0.0); - S88_PZ_0->SetBinContent(8,0.0); - S88_PZ_0->SetBinContent(9,0.0); - S88_PZ_0->SetBinContent(10,0.0); - S88_PZ_0->SetBinContent(11,0.0); - S88_PZ_0->SetBinContent(12,0.0); - S88_PZ_0->SetBinContent(13,0.0); - S88_PZ_0->SetBinContent(14,0.0); - S88_PZ_0->SetBinContent(15,0.0); - S88_PZ_0->SetBinContent(16,0.0); - S88_PZ_0->SetBinContent(17,0.01544783); - S88_PZ_0->SetBinContent(18,0.04634349); - S88_PZ_0->SetBinContent(19,0.07723915); - S88_PZ_0->SetBinContent(20,0.185374); - S88_PZ_0->SetBinContent(21,0.1235826); - S88_PZ_0->SetBinContent(22,0.4634349); - S88_PZ_0->SetBinContent(23,0.7106002); - S88_PZ_0->SetBinContent(24,1.482992); - S88_PZ_0->SetBinContent(25,4.248153); - S88_PZ_0->SetBinContent(26,4.433527); - S88_PZ_0->SetBinContent(27,2.023666); - S88_PZ_0->SetBinContent(28,0.7723915); - S88_PZ_0->SetBinContent(29,0.4170914); - S88_PZ_0->SetBinContent(30,0.2008218); - S88_PZ_0->SetBinContent(31,0.1081348); - S88_PZ_0->SetBinContent(32,0.1081348); - S88_PZ_0->SetBinContent(33,0.01544783); - S88_PZ_0->SetBinContent(34,0.0); - S88_PZ_0->SetBinContent(35,0.0); - S88_PZ_0->SetBinContent(36,0.0); - S88_PZ_0->SetBinContent(37,0.01544783); - S88_PZ_0->SetBinContent(38,0.0); - S88_PZ_0->SetBinContent(39,0.0); - S88_PZ_0->SetBinContent(40,0.0); - S88_PZ_0->SetBinContent(41,0.0); - S88_PZ_0->SetBinContent(42,0.0); - S88_PZ_0->SetBinContent(43,0.0); - S88_PZ_0->SetBinContent(44,0.0); - S88_PZ_0->SetBinContent(45,0.0); - S88_PZ_0->SetBinContent(46,0.0); - S88_PZ_0->SetBinContent(47,0.0); - S88_PZ_0->SetBinContent(48,0.0); - S88_PZ_0->SetBinContent(49,0.0); - S88_PZ_0->SetBinContent(50,0.0); - S88_PZ_0->SetBinContent(51,0.0); // overflow - S88_PZ_0->SetEntries(1000); - // Style - S88_PZ_0->SetLineColor(9); - S88_PZ_0->SetLineStyle(1); - S88_PZ_0->SetLineWidth(1); - S88_PZ_0->SetFillColor(9); - S88_PZ_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_176","mystack"); - stack->Add(S88_PZ_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{z} [ b ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_87.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_87.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_87.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_87.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_87.py deleted file mode 100644 index a33ae43b..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_87.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_87(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-2000.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-1960.0,-1880.0,-1800.0,-1720.0,-1640.0,-1560.0,-1480.0,-1400.0,-1320.0,-1240.0,-1160.0,-1080.0,-1000.0,-920.0,-840.0,-760.0,-680.0,-600.0,-520.0,-440.0,-360.0,-280.0,-200.0,-120.0,-40.0,40.0,120.0,200.0,280.0,360.0,440.0,520.0,600.0,680.0,760.0,840.0,920.0,1000.0,1080.0,1160.0,1240.0,1320.0,1400.0,1480.0,1560.0,1640.0,1720.0,1800.0,1880.0,1960.0]) - - # Creating weights for histo: y88_PZ_0 - y88_PZ_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.04634349,0.07723915,0.185374,0.1235826,0.4634349,0.7106002,1.482992,4.248153,4.433527,2.023666,0.7723915,0.4170914,0.2008218,0.1081348,0.1081348,0.01544783,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y88_PZ_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{z}$ $[ b ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y88_PZ_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y88_PZ_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_87.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_87.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_87.eps') - -# Running! -if __name__ == '__main__': - selection_87() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_88.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_88.C deleted file mode 100644 index b351c85e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_88.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_88() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo177","canvas_plotflow_tempo177",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S89_R_0 = new TH1F("S89_R_0","S89_R_0",50,0.0,10.0); - // Content - S89_R_0->SetBinContent(0,0.0); // underflow - S89_R_0->SetBinContent(1,0.06179132); - S89_R_0->SetBinContent(2,0.3244044); - S89_R_0->SetBinContent(3,0.4634349); - S89_R_0->SetBinContent(4,0.540674); - S89_R_0->SetBinContent(5,0.911422); - S89_R_0->SetBinContent(6,0.8650785); - S89_R_0->SetBinContent(7,1.004109); - S89_R_0->SetBinContent(8,0.8341828); - S89_R_0->SetBinContent(9,1.158587); - S89_R_0->SetBinContent(10,1.035005); - S89_R_0->SetBinContent(11,1.158587); - S89_R_0->SetBinContent(12,1.158587); - S89_R_0->SetBinContent(13,1.189483); - S89_R_0->SetBinContent(14,1.174035); - S89_R_0->SetBinContent(15,1.297618); - S89_R_0->SetBinContent(16,1.096796); - S89_R_0->SetBinContent(17,0.5715697); - S89_R_0->SetBinContent(18,0.2935088); - S89_R_0->SetBinContent(19,0.1235826); - S89_R_0->SetBinContent(20,0.1235826); - S89_R_0->SetBinContent(21,0.04634349); - S89_R_0->SetBinContent(22,0.01544783); - S89_R_0->SetBinContent(23,0.0); - S89_R_0->SetBinContent(24,0.0); - S89_R_0->SetBinContent(25,0.0); - S89_R_0->SetBinContent(26,0.0); - S89_R_0->SetBinContent(27,0.0); - S89_R_0->SetBinContent(28,0.0); - S89_R_0->SetBinContent(29,0.0); - S89_R_0->SetBinContent(30,0.0); - S89_R_0->SetBinContent(31,0.0); - S89_R_0->SetBinContent(32,0.0); - S89_R_0->SetBinContent(33,0.0); - S89_R_0->SetBinContent(34,0.0); - S89_R_0->SetBinContent(35,0.0); - S89_R_0->SetBinContent(36,0.0); - S89_R_0->SetBinContent(37,0.0); - S89_R_0->SetBinContent(38,0.0); - S89_R_0->SetBinContent(39,0.0); - S89_R_0->SetBinContent(40,0.0); - S89_R_0->SetBinContent(41,0.0); - S89_R_0->SetBinContent(42,0.0); - S89_R_0->SetBinContent(43,0.0); - S89_R_0->SetBinContent(44,0.0); - S89_R_0->SetBinContent(45,0.0); - S89_R_0->SetBinContent(46,0.0); - S89_R_0->SetBinContent(47,0.0); - S89_R_0->SetBinContent(48,0.0); - S89_R_0->SetBinContent(49,0.0); - S89_R_0->SetBinContent(50,0.0); - S89_R_0->SetBinContent(51,0.0); // overflow - S89_R_0->SetEntries(1000); - // Style - S89_R_0->SetLineColor(9); - S89_R_0->SetLineStyle(1); - S89_R_0->SetLineWidth(1); - S89_R_0->SetFillColor(9); - S89_R_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_178","mystack"); - stack->Add(S89_R_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("R [ b ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_88.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_88.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_88.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_88.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_88.py deleted file mode 100644 index a1610c75..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_88.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_88(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,10.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.1,0.30000000000000004,0.5,0.7000000000000001,0.9,1.1,1.3,1.5,1.7000000000000002,1.9000000000000001,2.1,2.3000000000000003,2.5,2.7,2.9000000000000004,3.1,3.3000000000000003,3.5,3.7,3.9000000000000004,4.1000000000000005,4.3,4.5,4.7,4.9,5.1000000000000005,5.300000000000001,5.5,5.7,5.9,6.1000000000000005,6.300000000000001,6.5,6.7,6.9,7.1000000000000005,7.300000000000001,7.5,7.7,7.9,8.1,8.3,8.5,8.700000000000001,8.9,9.1,9.3,9.5,9.700000000000001,9.9]) - - # Creating weights for histo: y89_R_0 - y89_R_0_weights = numpy.array([0.06179132,0.3244044,0.4634349,0.540674,0.911422,0.8650785,1.004109,0.8341828,1.158587,1.035005,1.158587,1.158587,1.189483,1.174035,1.297618,1.096796,0.5715697,0.2935088,0.1235826,0.1235826,0.04634349,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y89_R_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$R$ $[ b ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y89_R_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y89_R_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_88.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_88.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_88.eps') - -# Running! -if __name__ == '__main__': - selection_88() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_89.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_89.C deleted file mode 100644 index a446af3a..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_89.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_89() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo179","canvas_plotflow_tempo179",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S90_Y_0 = new TH1F("S90_Y_0","S90_Y_0",50,-8.0,8.0); - // Content - S90_Y_0->SetBinContent(0,0.0); // underflow - S90_Y_0->SetBinContent(1,0.0); - S90_Y_0->SetBinContent(2,0.0); - S90_Y_0->SetBinContent(3,0.0); - S90_Y_0->SetBinContent(4,0.0); - S90_Y_0->SetBinContent(5,0.0); - S90_Y_0->SetBinContent(6,0.0); - S90_Y_0->SetBinContent(7,0.0); - S90_Y_0->SetBinContent(8,0.0); - S90_Y_0->SetBinContent(9,0.0); - S90_Y_0->SetBinContent(10,0.0); - S90_Y_0->SetBinContent(11,0.0); - S90_Y_0->SetBinContent(12,0.0); - S90_Y_0->SetBinContent(13,0.0); - S90_Y_0->SetBinContent(14,0.01544783); - S90_Y_0->SetBinContent(15,0.04634349); - S90_Y_0->SetBinContent(16,0.06179132); - S90_Y_0->SetBinContent(17,0.2008218); - S90_Y_0->SetBinContent(18,0.3861957); - S90_Y_0->SetBinContent(19,0.3244044); - S90_Y_0->SetBinContent(20,0.4634349); - S90_Y_0->SetBinContent(21,0.8032872); - S90_Y_0->SetBinContent(22,1.035005); - S90_Y_0->SetBinContent(23,1.328513); - S90_Y_0->SetBinContent(24,1.189483); - S90_Y_0->SetBinContent(25,1.498439); - S90_Y_0->SetBinContent(26,1.544783); - S90_Y_0->SetBinContent(27,1.405753); - S90_Y_0->SetBinContent(28,1.544783); - S90_Y_0->SetBinContent(29,1.0659); - S90_Y_0->SetBinContent(30,0.7878393); - S90_Y_0->SetBinContent(31,0.7106002); - S90_Y_0->SetBinContent(32,0.3861957); - S90_Y_0->SetBinContent(33,0.3089566); - S90_Y_0->SetBinContent(34,0.2008218); - S90_Y_0->SetBinContent(35,0.1081348); - S90_Y_0->SetBinContent(36,0.03089566); - S90_Y_0->SetBinContent(37,0.0); - S90_Y_0->SetBinContent(38,0.0); - S90_Y_0->SetBinContent(39,0.0); - S90_Y_0->SetBinContent(40,0.0); - S90_Y_0->SetBinContent(41,0.0); - S90_Y_0->SetBinContent(42,0.0); - S90_Y_0->SetBinContent(43,0.0); - S90_Y_0->SetBinContent(44,0.0); - S90_Y_0->SetBinContent(45,0.0); - S90_Y_0->SetBinContent(46,0.0); - S90_Y_0->SetBinContent(47,0.0); - S90_Y_0->SetBinContent(48,0.0); - S90_Y_0->SetBinContent(49,0.0); - S90_Y_0->SetBinContent(50,0.0); - S90_Y_0->SetBinContent(51,0.0); // overflow - S90_Y_0->SetEntries(1000); - // Style - S90_Y_0->SetLineColor(9); - S90_Y_0->SetLineStyle(1); - S90_Y_0->SetLineWidth(1); - S90_Y_0->SetFillColor(9); - S90_Y_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_180","mystack"); - stack->Add(S90_Y_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("y [ b ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_89.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_89.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_89.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_89.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_89.py deleted file mode 100644 index a2f8dd9f..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_89.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_89(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y90_Y_0 - y90_Y_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.04634349,0.06179132,0.2008218,0.3861957,0.3244044,0.4634349,0.8032872,1.035005,1.328513,1.189483,1.498439,1.544783,1.405753,1.544783,1.0659,0.7878393,0.7106002,0.3861957,0.3089566,0.2008218,0.1081348,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y90_Y_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$y$ $[ b ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y90_Y_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y90_Y_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_89.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_89.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_89.eps') - -# Running! -if __name__ == '__main__': - selection_89() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_9.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_9.C deleted file mode 100644 index d6a8d2fd..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_9.C +++ /dev/null @@ -1,87 +0,0 @@ -void selection_9() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo19","canvas_plotflow_tempo19",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S10_NAPID_0 = new TH1F("S10_NAPID_0","S10_NAPID_0",9,0.0,9); - // Content - S10_NAPID_0->SetBinContent(0,0.0); // underflow - S10_NAPID_0->SetBinContent(1,8.141006); - S10_NAPID_0->SetBinContent(2,8.141006); - S10_NAPID_0->SetBinContent(3,7.306824); - S10_NAPID_0->SetBinContent(4,7.306824); - S10_NAPID_0->SetBinContent(5,30.89566); - S10_NAPID_0->SetBinContent(6,7.816602); - S10_NAPID_0->SetBinContent(7,7.816602); - S10_NAPID_0->SetBinContent(8,7.631228); - S10_NAPID_0->SetBinContent(9,7.631228); - S10_NAPID_0->SetBinContent(10,0.0); // overflow - S10_NAPID_0->SetEntries(0); - // Style - S10_NAPID_0->SetLineColor(9); - S10_NAPID_0->SetLineStyle(1); - S10_NAPID_0->SetLineWidth(1); - S10_NAPID_0->SetFillColor(9); - S10_NAPID_0->SetFillStyle(1001); - S10_NAPID_0->SetBarWidth(0.8); - S10_NAPID_0->SetBarOffset(0.1); - - // Creating a new THStack - THStack* stack = new THStack("mystack_20","mystack"); - stack->Add(S10_NAPID_0); - stack->Draw("bar1"); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of particles (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("|NPID| "); - stack->GetXaxis()->SetBinLabel(1,"d~/d"); - stack->GetXaxis()->SetBinLabel(2,"u~/u"); - stack->GetXaxis()->SetBinLabel(3,"s~/s"); - stack->GetXaxis()->SetBinLabel(4,"c~/c"); - stack->GetXaxis()->SetBinLabel(5,"b~/b"); - stack->GetXaxis()->SetBinLabel(6,"e+/e-"); - stack->GetXaxis()->SetBinLabel(7,"ve~/ve"); - stack->GetXaxis()->SetBinLabel(8,"mu+/mu-"); - stack->GetXaxis()->SetBinLabel(9,"vm~/vm"); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_9.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_9.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_9.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_9.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_9.py deleted file mode 100644 index f83b9fbe..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_9.py +++ /dev/null @@ -1,66 +0,0 @@ -def selection_9(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,9,10,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5]) - - # Creating weights for histo: y10_NAPID_0 - y10_NAPID_0_weights = numpy.array([8.141006,8.141006,7.306824,7.306824,30.89566,7.816602,7.816602,7.631228,7.631228]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y10_NAPID_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$|NPID|$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ \mathrm{particles}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y10_NAPID_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y10_NAPID_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Labels for x-Axis - xLabels = numpy.array(["d~/d","u~/u","s~/s","c~/c","b~/b","e+/e-","ve~/ve","mu+/mu-","vm~/vm"]) - plt.xticks(xData, xLabels, rotation="vertical") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_9.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_9.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_9.eps') - -# Running! -if __name__ == '__main__': - selection_9() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_90.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_90.C deleted file mode 100644 index 9624a9dd..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_90.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_90() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo181","canvas_plotflow_tempo181",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S91_BETA_0 = new TH1F("S91_BETA_0","S91_BETA_0",50,0.0,1.2); - // Content - S91_BETA_0->SetBinContent(0,0.0); // underflow - S91_BETA_0->SetBinContent(1,0.0); - S91_BETA_0->SetBinContent(2,0.0); - S91_BETA_0->SetBinContent(3,0.0); - S91_BETA_0->SetBinContent(4,0.0); - S91_BETA_0->SetBinContent(5,0.0); - S91_BETA_0->SetBinContent(6,0.0); - S91_BETA_0->SetBinContent(7,0.0); - S91_BETA_0->SetBinContent(8,0.0); - S91_BETA_0->SetBinContent(9,0.0); - S91_BETA_0->SetBinContent(10,0.0); - S91_BETA_0->SetBinContent(11,0.0); - S91_BETA_0->SetBinContent(12,0.0); - S91_BETA_0->SetBinContent(13,0.0); - S91_BETA_0->SetBinContent(14,0.0); - S91_BETA_0->SetBinContent(15,0.0); - S91_BETA_0->SetBinContent(16,0.0); - S91_BETA_0->SetBinContent(17,0.0); - S91_BETA_0->SetBinContent(18,0.0); - S91_BETA_0->SetBinContent(19,0.0); - S91_BETA_0->SetBinContent(20,0.0); - S91_BETA_0->SetBinContent(21,0.0); - S91_BETA_0->SetBinContent(22,0.0); - S91_BETA_0->SetBinContent(23,0.0); - S91_BETA_0->SetBinContent(24,0.0); - S91_BETA_0->SetBinContent(25,0.0); - S91_BETA_0->SetBinContent(26,0.0); - S91_BETA_0->SetBinContent(27,0.0); - S91_BETA_0->SetBinContent(28,0.0); - S91_BETA_0->SetBinContent(29,0.0); - S91_BETA_0->SetBinContent(30,0.0); - S91_BETA_0->SetBinContent(31,0.0); - S91_BETA_0->SetBinContent(32,0.0); - S91_BETA_0->SetBinContent(33,0.0); - S91_BETA_0->SetBinContent(34,0.0); - S91_BETA_0->SetBinContent(35,0.0); - S91_BETA_0->SetBinContent(36,0.0); - S91_BETA_0->SetBinContent(37,0.0); - S91_BETA_0->SetBinContent(38,0.0); - S91_BETA_0->SetBinContent(39,0.0); - S91_BETA_0->SetBinContent(40,0.0); - S91_BETA_0->SetBinContent(41,0.1081348); - S91_BETA_0->SetBinContent(42,15.3397); - S91_BETA_0->SetBinContent(43,0.0); - S91_BETA_0->SetBinContent(44,0.0); - S91_BETA_0->SetBinContent(45,0.0); - S91_BETA_0->SetBinContent(46,0.0); - S91_BETA_0->SetBinContent(47,0.0); - S91_BETA_0->SetBinContent(48,0.0); - S91_BETA_0->SetBinContent(49,0.0); - S91_BETA_0->SetBinContent(50,0.0); - S91_BETA_0->SetBinContent(51,0.0); // overflow - S91_BETA_0->SetEntries(1000); - // Style - S91_BETA_0->SetLineColor(9); - S91_BETA_0->SetLineStyle(1); - S91_BETA_0->SetLineWidth(1); - S91_BETA_0->SetFillColor(9); - S91_BETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_182","mystack"); - stack->Add(S91_BETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#beta [ b ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_90.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_90.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_90.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_90.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_90.py deleted file mode 100644 index 6524f777..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_90.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_90(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1.2,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([0.012,0.036000000000000004,0.06,0.084,0.108,0.132,0.156,0.18,0.20400000000000001,0.228,0.252,0.276,0.3,0.324,0.34800000000000003,0.372,0.396,0.42,0.444,0.468,0.492,0.516,0.54,0.5640000000000001,0.588,0.612,0.636,0.66,0.684,0.708,0.732,0.756,0.78,0.804,0.8280000000000001,0.852,0.876,0.9,0.924,0.9480000000000001,0.972,0.996,1.02,1.044,1.068,1.092,1.116,1.1400000000000001,1.164,1.188]) - - # Creating weights for histo: y91_BETA_0 - y91_BETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1081348,15.3397,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y91_BETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\beta$ $[ b ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y91_BETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y91_BETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_90.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_90.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_90.eps') - -# Running! -if __name__ == '__main__': - selection_90() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_91.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_91.C deleted file mode 100644 index ef71b62f..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_91.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_91() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo183","canvas_plotflow_tempo183",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S92_GAMMA_0 = new TH1F("S92_GAMMA_0","S92_GAMMA_0",50,1.0,100.0); - // Content - S92_GAMMA_0->SetBinContent(0,0.0); // underflow - S92_GAMMA_0->SetBinContent(1,0.0); - S92_GAMMA_0->SetBinContent(2,0.06179132); - S92_GAMMA_0->SetBinContent(3,0.2626131); - S92_GAMMA_0->SetBinContent(4,0.6951523); - S92_GAMMA_0->SetBinContent(5,0.911422); - S92_GAMMA_0->SetBinContent(6,0.9268698); - S92_GAMMA_0->SetBinContent(7,1.112244); - S92_GAMMA_0->SetBinContent(8,0.9886611); - S92_GAMMA_0->SetBinContent(9,0.9268698); - S92_GAMMA_0->SetBinContent(10,1.050452); - S92_GAMMA_0->SetBinContent(11,0.8341828); - S92_GAMMA_0->SetBinContent(12,0.818735); - S92_GAMMA_0->SetBinContent(13,0.6024654); - S92_GAMMA_0->SetBinContent(14,0.5561219); - S92_GAMMA_0->SetBinContent(15,0.5252262); - S92_GAMMA_0->SetBinContent(16,0.5097784); - S92_GAMMA_0->SetBinContent(17,0.4479871); - S92_GAMMA_0->SetBinContent(18,0.4170914); - S92_GAMMA_0->SetBinContent(19,0.3244044); - S92_GAMMA_0->SetBinContent(20,0.2626131); - S92_GAMMA_0->SetBinContent(21,0.2008218); - S92_GAMMA_0->SetBinContent(22,0.2935088); - S92_GAMMA_0->SetBinContent(23,0.2008218); - S92_GAMMA_0->SetBinContent(24,0.2471653); - S92_GAMMA_0->SetBinContent(25,0.07723915); - S92_GAMMA_0->SetBinContent(26,0.1544783); - S92_GAMMA_0->SetBinContent(27,0.2008218); - S92_GAMMA_0->SetBinContent(28,0.2471653); - S92_GAMMA_0->SetBinContent(29,0.1699261); - S92_GAMMA_0->SetBinContent(30,0.01544783); - S92_GAMMA_0->SetBinContent(31,0.06179132); - S92_GAMMA_0->SetBinContent(32,0.07723915); - S92_GAMMA_0->SetBinContent(33,0.07723915); - S92_GAMMA_0->SetBinContent(34,0.1390305); - S92_GAMMA_0->SetBinContent(35,0.09268698); - S92_GAMMA_0->SetBinContent(36,0.04634349); - S92_GAMMA_0->SetBinContent(37,0.06179132); - S92_GAMMA_0->SetBinContent(38,0.07723915); - S92_GAMMA_0->SetBinContent(39,0.04634349); - S92_GAMMA_0->SetBinContent(40,0.03089566); - S92_GAMMA_0->SetBinContent(41,0.07723915); - S92_GAMMA_0->SetBinContent(42,0.03089566); - S92_GAMMA_0->SetBinContent(43,0.01544783); - S92_GAMMA_0->SetBinContent(44,0.03089566); - S92_GAMMA_0->SetBinContent(45,0.0); - S92_GAMMA_0->SetBinContent(46,0.04634349); - S92_GAMMA_0->SetBinContent(47,0.04634349); - S92_GAMMA_0->SetBinContent(48,0.03089566); - S92_GAMMA_0->SetBinContent(49,0.06179132); - S92_GAMMA_0->SetBinContent(50,0.0); - S92_GAMMA_0->SetBinContent(51,0.3553001); // overflow - S92_GAMMA_0->SetEntries(1000); - // Style - S92_GAMMA_0->SetLineColor(9); - S92_GAMMA_0->SetLineStyle(1); - S92_GAMMA_0->SetLineWidth(1); - S92_GAMMA_0->SetFillColor(9); - S92_GAMMA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_184","mystack"); - stack->Add(S92_GAMMA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("N. of b (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#gamma [ b ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_91.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_91.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_91.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_91.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_91.py deleted file mode 100644 index ea9d7614..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_91.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_91(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(1.0,100.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([1.99,3.9699999999999998,5.95,7.93,9.91,11.89,13.87,15.85,17.83,19.81,21.79,23.77,25.75,27.73,29.71,31.69,33.67,35.65,37.63,39.61,41.589999999999996,43.57,45.55,47.53,49.51,51.49,53.47,55.45,57.43,59.41,61.39,63.37,65.35,67.33,69.31,71.29,73.27,75.25,77.23,79.21,81.19,83.17,85.15,87.13,89.11,91.09,93.07,95.05,97.03,99.01]) - - # Creating weights for histo: y92_GAMMA_0 - y92_GAMMA_0_weights = numpy.array([0.0,0.06179132,0.2626131,0.6951523,0.911422,0.9268698,1.112244,0.9886611,0.9268698,1.050452,0.8341828,0.818735,0.6024654,0.5561219,0.5252262,0.5097784,0.4479871,0.4170914,0.3244044,0.2626131,0.2008218,0.2935088,0.2008218,0.2471653,0.07723915,0.1544783,0.2008218,0.2471653,0.1699261,0.01544783,0.06179132,0.07723915,0.07723915,0.1390305,0.09268698,0.04634349,0.06179132,0.07723915,0.04634349,0.03089566,0.07723915,0.03089566,0.01544783,0.03089566,0.0,0.04634349,0.04634349,0.03089566,0.06179132,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y92_GAMMA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\gamma$ $[ b ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{N.}\ \mathrm{of}\ b$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y92_GAMMA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y92_GAMMA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_91.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_91.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_91.eps') - -# Running! -if __name__ == '__main__': - selection_91() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_92.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_92.C deleted file mode 100644 index eb6c8fb5..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_92.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_92() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo185","canvas_plotflow_tempo185",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S93_PT_0 = new TH1F("S93_PT_0","S93_PT_0",50,0.0,1000.0); - // Content - S93_PT_0->SetBinContent(0,0.0); // underflow - S93_PT_0->SetBinContent(1,0.0); - S93_PT_0->SetBinContent(2,2.734266); - S93_PT_0->SetBinContent(3,4.124571); - S93_PT_0->SetBinContent(4,3.244044); - S93_PT_0->SetBinContent(5,2.626131); - S93_PT_0->SetBinContent(6,1.0659); - S93_PT_0->SetBinContent(7,0.7878393); - S93_PT_0->SetBinContent(8,0.4479871); - S93_PT_0->SetBinContent(9,0.1699261); - S93_PT_0->SetBinContent(10,0.06179132); - S93_PT_0->SetBinContent(11,0.04634349); - S93_PT_0->SetBinContent(12,0.07723915); - S93_PT_0->SetBinContent(13,0.0); - S93_PT_0->SetBinContent(14,0.03089566); - S93_PT_0->SetBinContent(15,0.0); - S93_PT_0->SetBinContent(16,0.03089566); - S93_PT_0->SetBinContent(17,0.0); - S93_PT_0->SetBinContent(18,0.0); - S93_PT_0->SetBinContent(19,0.0); - S93_PT_0->SetBinContent(20,0.0); - S93_PT_0->SetBinContent(21,0.0); - S93_PT_0->SetBinContent(22,0.0); - S93_PT_0->SetBinContent(23,0.0); - S93_PT_0->SetBinContent(24,0.0); - S93_PT_0->SetBinContent(25,0.0); - S93_PT_0->SetBinContent(26,0.0); - S93_PT_0->SetBinContent(27,0.0); - S93_PT_0->SetBinContent(28,0.0); - S93_PT_0->SetBinContent(29,0.0); - S93_PT_0->SetBinContent(30,0.0); - S93_PT_0->SetBinContent(31,0.0); - S93_PT_0->SetBinContent(32,0.0); - S93_PT_0->SetBinContent(33,0.0); - S93_PT_0->SetBinContent(34,0.0); - S93_PT_0->SetBinContent(35,0.0); - S93_PT_0->SetBinContent(36,0.0); - S93_PT_0->SetBinContent(37,0.0); - S93_PT_0->SetBinContent(38,0.0); - S93_PT_0->SetBinContent(39,0.0); - S93_PT_0->SetBinContent(40,0.0); - S93_PT_0->SetBinContent(41,0.0); - S93_PT_0->SetBinContent(42,0.0); - S93_PT_0->SetBinContent(43,0.0); - S93_PT_0->SetBinContent(44,0.0); - S93_PT_0->SetBinContent(45,0.0); - S93_PT_0->SetBinContent(46,0.0); - S93_PT_0->SetBinContent(47,0.0); - S93_PT_0->SetBinContent(48,0.0); - S93_PT_0->SetBinContent(49,0.0); - S93_PT_0->SetBinContent(50,0.0); - S93_PT_0->SetBinContent(51,0.0); // overflow - S93_PT_0->SetEntries(1000); - // Style - S93_PT_0->SetLineColor(9); - S93_PT_0->SetLineStyle(1); - S93_PT_0->SetLineWidth(1); - S93_PT_0->SetFillColor(9); - S93_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_186","mystack"); - stack->Add(S93_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ b_{1} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_92.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_92.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_92.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_92.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_92.py deleted file mode 100644 index 39f917f4..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_92.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_92(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y93_PT_0 - y93_PT_0_weights = numpy.array([0.0,2.734266,4.124571,3.244044,2.626131,1.0659,0.7878393,0.4479871,0.1699261,0.06179132,0.04634349,0.07723915,0.0,0.03089566,0.0,0.03089566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y93_PT_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ b_{1} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y93_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y93_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_92.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_92.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_92.eps') - -# Running! -if __name__ == '__main__': - selection_92() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_93.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_93.C deleted file mode 100644 index b7c8e370..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_93.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_93() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo187","canvas_plotflow_tempo187",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S94_ETA_0 = new TH1F("S94_ETA_0","S94_ETA_0",50,-8.0,8.0); - // Content - S94_ETA_0->SetBinContent(0,0.0); // underflow - S94_ETA_0->SetBinContent(1,0.0); - S94_ETA_0->SetBinContent(2,0.0); - S94_ETA_0->SetBinContent(3,0.0); - S94_ETA_0->SetBinContent(4,0.0); - S94_ETA_0->SetBinContent(5,0.0); - S94_ETA_0->SetBinContent(6,0.0); - S94_ETA_0->SetBinContent(7,0.0); - S94_ETA_0->SetBinContent(8,0.0); - S94_ETA_0->SetBinContent(9,0.0); - S94_ETA_0->SetBinContent(10,0.0); - S94_ETA_0->SetBinContent(11,0.0); - S94_ETA_0->SetBinContent(12,0.0); - S94_ETA_0->SetBinContent(13,0.0); - S94_ETA_0->SetBinContent(14,0.01544783); - S94_ETA_0->SetBinContent(15,0.04634349); - S94_ETA_0->SetBinContent(16,0.06179132); - S94_ETA_0->SetBinContent(17,0.2008218); - S94_ETA_0->SetBinContent(18,0.4016436); - S94_ETA_0->SetBinContent(19,0.3089566); - S94_ETA_0->SetBinContent(20,0.4943306); - S94_ETA_0->SetBinContent(21,0.7723915); - S94_ETA_0->SetBinContent(22,1.050452); - S94_ETA_0->SetBinContent(23,1.328513); - S94_ETA_0->SetBinContent(24,1.204931); - S94_ETA_0->SetBinContent(25,1.467544); - S94_ETA_0->SetBinContent(26,1.529335); - S94_ETA_0->SetBinContent(27,1.405753); - S94_ETA_0->SetBinContent(28,1.560231); - S94_ETA_0->SetBinContent(29,1.050452); - S94_ETA_0->SetBinContent(30,0.8032872); - S94_ETA_0->SetBinContent(31,0.6951523); - S94_ETA_0->SetBinContent(32,0.4016436); - S94_ETA_0->SetBinContent(33,0.3089566); - S94_ETA_0->SetBinContent(34,0.2008218); - S94_ETA_0->SetBinContent(35,0.1081348); - S94_ETA_0->SetBinContent(36,0.01544783); - S94_ETA_0->SetBinContent(37,0.01544783); - S94_ETA_0->SetBinContent(38,0.0); - S94_ETA_0->SetBinContent(39,0.0); - S94_ETA_0->SetBinContent(40,0.0); - S94_ETA_0->SetBinContent(41,0.0); - S94_ETA_0->SetBinContent(42,0.0); - S94_ETA_0->SetBinContent(43,0.0); - S94_ETA_0->SetBinContent(44,0.0); - S94_ETA_0->SetBinContent(45,0.0); - S94_ETA_0->SetBinContent(46,0.0); - S94_ETA_0->SetBinContent(47,0.0); - S94_ETA_0->SetBinContent(48,0.0); - S94_ETA_0->SetBinContent(49,0.0); - S94_ETA_0->SetBinContent(50,0.0); - S94_ETA_0->SetBinContent(51,0.0); // overflow - S94_ETA_0->SetEntries(1000); - // Style - S94_ETA_0->SetLineColor(9); - S94_ETA_0->SetLineStyle(1); - S94_ETA_0->SetLineWidth(1); - S94_ETA_0->SetFillColor(9); - S94_ETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_188","mystack"); - stack->Add(S94_ETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#eta [ b_{1} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_93.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_93.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_93.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_93.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_93.py deleted file mode 100644 index ef30c822..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_93.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_93(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y94_ETA_0 - y94_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.04634349,0.06179132,0.2008218,0.4016436,0.3089566,0.4943306,0.7723915,1.050452,1.328513,1.204931,1.467544,1.529335,1.405753,1.560231,1.050452,0.8032872,0.6951523,0.4016436,0.3089566,0.2008218,0.1081348,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y94_ETA_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\eta$ $[ b_{1} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y94_ETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y94_ETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_93.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_93.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_93.eps') - -# Running! -if __name__ == '__main__': - selection_93() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_94.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_94.C deleted file mode 100644 index 1cf528e6..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_94.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_94() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo189","canvas_plotflow_tempo189",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S95_PHI_0 = new TH1F("S95_PHI_0","S95_PHI_0",32,-3.2,3.2); - // Content - S95_PHI_0->SetBinContent(0,0.0); // underflow - S95_PHI_0->SetBinContent(1,0.185374); - S95_PHI_0->SetBinContent(2,0.726048); - S95_PHI_0->SetBinContent(3,0.4788827); - S95_PHI_0->SetBinContent(4,0.4943306); - S95_PHI_0->SetBinContent(5,0.4016436); - S95_PHI_0->SetBinContent(6,0.5561219); - S95_PHI_0->SetBinContent(7,0.4943306); - S95_PHI_0->SetBinContent(8,0.4479871); - S95_PHI_0->SetBinContent(9,0.3707479); - S95_PHI_0->SetBinContent(10,0.5097784); - S95_PHI_0->SetBinContent(11,0.4170914); - S95_PHI_0->SetBinContent(12,0.633361); - S95_PHI_0->SetBinContent(13,0.4325392); - S95_PHI_0->SetBinContent(14,0.6797045); - S95_PHI_0->SetBinContent(15,0.4634349); - S95_PHI_0->SetBinContent(16,0.4479871); - S95_PHI_0->SetBinContent(17,0.3553001); - S95_PHI_0->SetBinContent(18,0.4325392); - S95_PHI_0->SetBinContent(19,0.5252262); - S95_PHI_0->SetBinContent(20,0.3861957); - S95_PHI_0->SetBinContent(21,0.5715697); - S95_PHI_0->SetBinContent(22,0.6024654); - S95_PHI_0->SetBinContent(23,0.4479871); - S95_PHI_0->SetBinContent(24,0.3707479); - S95_PHI_0->SetBinContent(25,0.5715697); - S95_PHI_0->SetBinContent(26,0.633361); - S95_PHI_0->SetBinContent(27,0.3553001); - S95_PHI_0->SetBinContent(28,0.5561219); - S95_PHI_0->SetBinContent(29,0.6179132); - S95_PHI_0->SetBinContent(30,0.4325392); - S95_PHI_0->SetBinContent(31,0.5870175); - S95_PHI_0->SetBinContent(32,0.2626131); - S95_PHI_0->SetBinContent(33,0.0); // overflow - S95_PHI_0->SetEntries(1000); - // Style - S95_PHI_0->SetLineColor(9); - S95_PHI_0->SetLineStyle(1); - S95_PHI_0->SetLineWidth(1); - S95_PHI_0->SetFillColor(9); - S95_PHI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_190","mystack"); - stack->Add(S95_PHI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#phi [ b_{1} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_94.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_94.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_94.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_94.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_94.py deleted file mode 100644 index 6d918959..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_94.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_94(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) - - # Creating weights for histo: y95_PHI_0 - y95_PHI_0_weights = numpy.array([0.185374,0.726048,0.4788827,0.4943306,0.4016436,0.5561219,0.4943306,0.4479871,0.3707479,0.5097784,0.4170914,0.633361,0.4325392,0.6797045,0.4634349,0.4479871,0.3553001,0.4325392,0.5252262,0.3861957,0.5715697,0.6024654,0.4479871,0.3707479,0.5715697,0.633361,0.3553001,0.5561219,0.6179132,0.4325392,0.5870175,0.2626131]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y95_PHI_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\phi$ $[ b_{1} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y95_PHI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y95_PHI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_94.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_94.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_94.eps') - -# Running! -if __name__ == '__main__': - selection_94() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_95.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_95.C deleted file mode 100644 index 6449f2fb..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_95.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_95() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo191","canvas_plotflow_tempo191",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S96_E_0 = new TH1F("S96_E_0","S96_E_0",50,0.0,2000.0); - // Content - S96_E_0->SetBinContent(0,0.0); // underflow - S96_E_0->SetBinContent(1,0.8341828); - S96_E_0->SetBinContent(2,4.186362); - S96_E_0->SetBinContent(3,3.831062); - S96_E_0->SetBinContent(4,2.224487); - S96_E_0->SetBinContent(5,1.359409); - S96_E_0->SetBinContent(6,0.8650785); - S96_E_0->SetBinContent(7,0.7414958); - S96_E_0->SetBinContent(8,0.3553001); - S96_E_0->SetBinContent(9,0.2780609); - S96_E_0->SetBinContent(10,0.2008218); - S96_E_0->SetBinContent(11,0.1235826); - S96_E_0->SetBinContent(12,0.1235826); - S96_E_0->SetBinContent(13,0.1390305); - S96_E_0->SetBinContent(14,0.07723915); - S96_E_0->SetBinContent(15,0.06179132); - S96_E_0->SetBinContent(16,0.01544783); - S96_E_0->SetBinContent(17,0.01544783); - S96_E_0->SetBinContent(18,0.0); - S96_E_0->SetBinContent(19,0.0); - S96_E_0->SetBinContent(20,0.0); - S96_E_0->SetBinContent(21,0.0); - S96_E_0->SetBinContent(22,0.0); - S96_E_0->SetBinContent(23,0.0); - S96_E_0->SetBinContent(24,0.01544783); - S96_E_0->SetBinContent(25,0.0); - S96_E_0->SetBinContent(26,0.0); - S96_E_0->SetBinContent(27,0.0); - S96_E_0->SetBinContent(28,0.0); - S96_E_0->SetBinContent(29,0.0); - S96_E_0->SetBinContent(30,0.0); - S96_E_0->SetBinContent(31,0.0); - S96_E_0->SetBinContent(32,0.0); - S96_E_0->SetBinContent(33,0.0); - S96_E_0->SetBinContent(34,0.0); - S96_E_0->SetBinContent(35,0.0); - S96_E_0->SetBinContent(36,0.0); - S96_E_0->SetBinContent(37,0.0); - S96_E_0->SetBinContent(38,0.0); - S96_E_0->SetBinContent(39,0.0); - S96_E_0->SetBinContent(40,0.0); - S96_E_0->SetBinContent(41,0.0); - S96_E_0->SetBinContent(42,0.0); - S96_E_0->SetBinContent(43,0.0); - S96_E_0->SetBinContent(44,0.0); - S96_E_0->SetBinContent(45,0.0); - S96_E_0->SetBinContent(46,0.0); - S96_E_0->SetBinContent(47,0.0); - S96_E_0->SetBinContent(48,0.0); - S96_E_0->SetBinContent(49,0.0); - S96_E_0->SetBinContent(50,0.0); - S96_E_0->SetBinContent(51,0.0); // overflow - S96_E_0->SetEntries(1000); - // Style - S96_E_0->SetLineColor(9); - S96_E_0->SetLineStyle(1); - S96_E_0->SetLineWidth(1); - S96_E_0->SetFillColor(9); - S96_E_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_192","mystack"); - stack->Add(S96_E_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("E [ b_{1} ] (GeV) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_95.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_95.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_95.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_95.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_95.py deleted file mode 100644 index 4c448342..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_95.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_95(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,2000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([20.0,60.0,100.0,140.0,180.0,220.0,260.0,300.0,340.0,380.0,420.0,460.0,500.0,540.0,580.0,620.0,660.0,700.0,740.0,780.0,820.0,860.0,900.0,940.0,980.0,1020.0,1060.0,1100.0,1140.0,1180.0,1220.0,1260.0,1300.0,1340.0,1380.0,1420.0,1460.0,1500.0,1540.0,1580.0,1620.0,1660.0,1700.0,1740.0,1780.0,1820.0,1860.0,1900.0,1940.0,1980.0]) - - # Creating weights for histo: y96_E_0 - y96_E_0_weights = numpy.array([0.8341828,4.186362,3.831062,2.224487,1.359409,0.8650785,0.7414958,0.3553001,0.2780609,0.2008218,0.1235826,0.1235826,0.1390305,0.07723915,0.06179132,0.01544783,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y96_E_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$E$ $[ b_{1} ]$ $(GeV)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y96_E_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y96_E_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_95.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_95.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_95.eps') - -# Running! -if __name__ == '__main__': - selection_95() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_96.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_96.C deleted file mode 100644 index ff565e1e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_96.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_96() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo193","canvas_plotflow_tempo193",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S97_MT_MET_0 = new TH1F("S97_MT_MET_0","S97_MT_MET_0",50,0.0,1000.0); - // Content - S97_MT_MET_0->SetBinContent(0,0.0); // underflow - S97_MT_MET_0->SetBinContent(1,1.266722); - S97_MT_MET_0->SetBinContent(2,1.683813); - S97_MT_MET_0->SetBinContent(3,1.930979); - S97_MT_MET_0->SetBinContent(4,2.224487); - S97_MT_MET_0->SetBinContent(5,2.579788); - S97_MT_MET_0->SetBinContent(6,2.502548); - S97_MT_MET_0->SetBinContent(7,1.405753); - S97_MT_MET_0->SetBinContent(8,0.8805263); - S97_MT_MET_0->SetBinContent(9,0.3398523); - S97_MT_MET_0->SetBinContent(10,0.1699261); - S97_MT_MET_0->SetBinContent(11,0.09268698); - S97_MT_MET_0->SetBinContent(12,0.1235826); - S97_MT_MET_0->SetBinContent(13,0.06179132); - S97_MT_MET_0->SetBinContent(14,0.04634349); - S97_MT_MET_0->SetBinContent(15,0.06179132); - S97_MT_MET_0->SetBinContent(16,0.03089566); - S97_MT_MET_0->SetBinContent(17,0.01544783); - S97_MT_MET_0->SetBinContent(18,0.0); - S97_MT_MET_0->SetBinContent(19,0.0); - S97_MT_MET_0->SetBinContent(20,0.0); - S97_MT_MET_0->SetBinContent(21,0.0); - S97_MT_MET_0->SetBinContent(22,0.0); - S97_MT_MET_0->SetBinContent(23,0.01544783); - S97_MT_MET_0->SetBinContent(24,0.0); - S97_MT_MET_0->SetBinContent(25,0.0); - S97_MT_MET_0->SetBinContent(26,0.0); - S97_MT_MET_0->SetBinContent(27,0.0); - S97_MT_MET_0->SetBinContent(28,0.0); - S97_MT_MET_0->SetBinContent(29,0.0); - S97_MT_MET_0->SetBinContent(30,0.0); - S97_MT_MET_0->SetBinContent(31,0.01544783); - S97_MT_MET_0->SetBinContent(32,0.0); - S97_MT_MET_0->SetBinContent(33,0.0); - S97_MT_MET_0->SetBinContent(34,0.0); - S97_MT_MET_0->SetBinContent(35,0.0); - S97_MT_MET_0->SetBinContent(36,0.0); - S97_MT_MET_0->SetBinContent(37,0.0); - S97_MT_MET_0->SetBinContent(38,0.0); - S97_MT_MET_0->SetBinContent(39,0.0); - S97_MT_MET_0->SetBinContent(40,0.0); - S97_MT_MET_0->SetBinContent(41,0.0); - S97_MT_MET_0->SetBinContent(42,0.0); - S97_MT_MET_0->SetBinContent(43,0.0); - S97_MT_MET_0->SetBinContent(44,0.0); - S97_MT_MET_0->SetBinContent(45,0.0); - S97_MT_MET_0->SetBinContent(46,0.0); - S97_MT_MET_0->SetBinContent(47,0.0); - S97_MT_MET_0->SetBinContent(48,0.0); - S97_MT_MET_0->SetBinContent(49,0.0); - S97_MT_MET_0->SetBinContent(50,0.0); - S97_MT_MET_0->SetBinContent(51,0.0); // overflow - S97_MT_MET_0->SetEntries(1000); - // Style - S97_MT_MET_0->SetLineColor(9); - S97_MT_MET_0->SetLineStyle(1); - S97_MT_MET_0->SetLineWidth(1); - S97_MT_MET_0->SetFillColor(9); - S97_MT_MET_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_194","mystack"); - stack->Add(S97_MT_MET_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("M_{T} [ b_{1} ] (GeV/c^{2}) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_96.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_96.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_96.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_96.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_96.py deleted file mode 100644 index 87b7a28e..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_96.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_96(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y97_MT_MET_0 - y97_MT_MET_0_weights = numpy.array([1.266722,1.683813,1.930979,2.224487,2.579788,2.502548,1.405753,0.8805263,0.3398523,0.1699261,0.09268698,0.1235826,0.06179132,0.04634349,0.06179132,0.03089566,0.01544783,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01544783,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y97_MT_MET_0_weights,\ - label="$testset$", histtype="stepfilled", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$M_{T}$ $[ b_{1} ]$ $(GeV/c^{2})$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y97_MT_MET_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y97_MT_MET_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_96.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_96.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_96.eps') - -# Running! -if __name__ == '__main__': - selection_96() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_97.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_97.C deleted file mode 100644 index 3219d2d3..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_97.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_97() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo195","canvas_plotflow_tempo195",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S98_PT_0 = new TH1F("S98_PT_0","S98_PT_0",50,0.0,1000.0); - // Content - S98_PT_0->SetBinContent(0,0.0); // underflow - S98_PT_0->SetBinContent(1,0.0); - S98_PT_0->SetBinContent(2,0.0); - S98_PT_0->SetBinContent(3,0.0); - S98_PT_0->SetBinContent(4,0.0); - S98_PT_0->SetBinContent(5,0.0); - S98_PT_0->SetBinContent(6,0.0); - S98_PT_0->SetBinContent(7,0.0); - S98_PT_0->SetBinContent(8,0.0); - S98_PT_0->SetBinContent(9,0.0); - S98_PT_0->SetBinContent(10,0.0); - S98_PT_0->SetBinContent(11,0.0); - S98_PT_0->SetBinContent(12,0.0); - S98_PT_0->SetBinContent(13,0.0); - S98_PT_0->SetBinContent(14,0.0); - S98_PT_0->SetBinContent(15,0.0); - S98_PT_0->SetBinContent(16,0.0); - S98_PT_0->SetBinContent(17,0.0); - S98_PT_0->SetBinContent(18,0.0); - S98_PT_0->SetBinContent(19,0.0); - S98_PT_0->SetBinContent(20,0.0); - S98_PT_0->SetBinContent(21,0.0); - S98_PT_0->SetBinContent(22,0.0); - S98_PT_0->SetBinContent(23,0.0); - S98_PT_0->SetBinContent(24,0.0); - S98_PT_0->SetBinContent(25,0.0); - S98_PT_0->SetBinContent(26,0.0); - S98_PT_0->SetBinContent(27,0.0); - S98_PT_0->SetBinContent(28,0.0); - S98_PT_0->SetBinContent(29,0.0); - S98_PT_0->SetBinContent(30,0.0); - S98_PT_0->SetBinContent(31,0.0); - S98_PT_0->SetBinContent(32,0.0); - S98_PT_0->SetBinContent(33,0.0); - S98_PT_0->SetBinContent(34,0.0); - S98_PT_0->SetBinContent(35,0.0); - S98_PT_0->SetBinContent(36,0.0); - S98_PT_0->SetBinContent(37,0.0); - S98_PT_0->SetBinContent(38,0.0); - S98_PT_0->SetBinContent(39,0.0); - S98_PT_0->SetBinContent(40,0.0); - S98_PT_0->SetBinContent(41,0.0); - S98_PT_0->SetBinContent(42,0.0); - S98_PT_0->SetBinContent(43,0.0); - S98_PT_0->SetBinContent(44,0.0); - S98_PT_0->SetBinContent(45,0.0); - S98_PT_0->SetBinContent(46,0.0); - S98_PT_0->SetBinContent(47,0.0); - S98_PT_0->SetBinContent(48,0.0); - S98_PT_0->SetBinContent(49,0.0); - S98_PT_0->SetBinContent(50,0.0); - S98_PT_0->SetBinContent(51,0.0); // overflow - S98_PT_0->SetEntries(0); - // Style - S98_PT_0->SetLineColor(9); - S98_PT_0->SetLineStyle(1); - S98_PT_0->SetLineWidth(1); - S98_PT_0->SetFillColor(9); - S98_PT_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_196","mystack"); - stack->Add(S98_PT_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("p_{T} [ b_{2} ] (GeV/c) "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_97.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_97.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_97.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_97.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_97.py deleted file mode 100644 index 1da51b88..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_97.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_97(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(0.0,1000.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([10.0,30.0,50.0,70.0,90.0,110.0,130.0,150.0,170.0,190.0,210.0,230.0,250.0,270.0,290.0,310.0,330.0,350.0,370.0,390.0,410.0,430.0,450.0,470.0,490.0,510.0,530.0,550.0,570.0,590.0,610.0,630.0,650.0,670.0,690.0,710.0,730.0,750.0,770.0,790.0,810.0,830.0,850.0,870.0,890.0,910.0,930.0,950.0,970.0,990.0]) - - # Creating weights for histo: y98_PT_0 - y98_PT_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y98_PT_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$p_{T}$ $[ b_{2} ]$ $(GeV/c)$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y98_PT_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y98_PT_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_97.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_97.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_97.eps') - -# Running! -if __name__ == '__main__': - selection_97() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_98.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_98.C deleted file mode 100644 index 98734549..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_98.C +++ /dev/null @@ -1,117 +0,0 @@ -void selection_98() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo197","canvas_plotflow_tempo197",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S99_ETA_0 = new TH1F("S99_ETA_0","S99_ETA_0",50,-8.0,8.0); - // Content - S99_ETA_0->SetBinContent(0,0.0); // underflow - S99_ETA_0->SetBinContent(1,0.0); - S99_ETA_0->SetBinContent(2,0.0); - S99_ETA_0->SetBinContent(3,0.0); - S99_ETA_0->SetBinContent(4,0.0); - S99_ETA_0->SetBinContent(5,0.0); - S99_ETA_0->SetBinContent(6,0.0); - S99_ETA_0->SetBinContent(7,0.0); - S99_ETA_0->SetBinContent(8,0.0); - S99_ETA_0->SetBinContent(9,0.0); - S99_ETA_0->SetBinContent(10,0.0); - S99_ETA_0->SetBinContent(11,0.0); - S99_ETA_0->SetBinContent(12,0.0); - S99_ETA_0->SetBinContent(13,0.0); - S99_ETA_0->SetBinContent(14,0.0); - S99_ETA_0->SetBinContent(15,0.0); - S99_ETA_0->SetBinContent(16,0.0); - S99_ETA_0->SetBinContent(17,0.0); - S99_ETA_0->SetBinContent(18,0.0); - S99_ETA_0->SetBinContent(19,0.0); - S99_ETA_0->SetBinContent(20,0.0); - S99_ETA_0->SetBinContent(21,0.0); - S99_ETA_0->SetBinContent(22,0.0); - S99_ETA_0->SetBinContent(23,0.0); - S99_ETA_0->SetBinContent(24,0.0); - S99_ETA_0->SetBinContent(25,0.0); - S99_ETA_0->SetBinContent(26,0.0); - S99_ETA_0->SetBinContent(27,0.0); - S99_ETA_0->SetBinContent(28,0.0); - S99_ETA_0->SetBinContent(29,0.0); - S99_ETA_0->SetBinContent(30,0.0); - S99_ETA_0->SetBinContent(31,0.0); - S99_ETA_0->SetBinContent(32,0.0); - S99_ETA_0->SetBinContent(33,0.0); - S99_ETA_0->SetBinContent(34,0.0); - S99_ETA_0->SetBinContent(35,0.0); - S99_ETA_0->SetBinContent(36,0.0); - S99_ETA_0->SetBinContent(37,0.0); - S99_ETA_0->SetBinContent(38,0.0); - S99_ETA_0->SetBinContent(39,0.0); - S99_ETA_0->SetBinContent(40,0.0); - S99_ETA_0->SetBinContent(41,0.0); - S99_ETA_0->SetBinContent(42,0.0); - S99_ETA_0->SetBinContent(43,0.0); - S99_ETA_0->SetBinContent(44,0.0); - S99_ETA_0->SetBinContent(45,0.0); - S99_ETA_0->SetBinContent(46,0.0); - S99_ETA_0->SetBinContent(47,0.0); - S99_ETA_0->SetBinContent(48,0.0); - S99_ETA_0->SetBinContent(49,0.0); - S99_ETA_0->SetBinContent(50,0.0); - S99_ETA_0->SetBinContent(51,0.0); // overflow - S99_ETA_0->SetEntries(0); - // Style - S99_ETA_0->SetLineColor(9); - S99_ETA_0->SetLineStyle(1); - S99_ETA_0->SetLineWidth(1); - S99_ETA_0->SetFillColor(9); - S99_ETA_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_198","mystack"); - stack->Add(S99_ETA_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#eta [ b_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_98.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_98.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_98.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_98.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_98.py deleted file mode 100644 index 434faed7..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_98.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_98(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-8.0,8.0,51,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-7.84,-7.52,-7.2,-6.88,-6.5600000000000005,-6.24,-5.92,-5.6,-5.279999999999999,-4.96,-4.640000000000001,-4.32,-4.0,-3.6799999999999997,-3.3600000000000003,-3.04,-2.7199999999999998,-2.3999999999999995,-2.08,-1.7599999999999998,-1.4399999999999995,-1.12,-0.7999999999999998,-0.47999999999999954,-0.16000000000000014,0.16000000000000014,0.4800000000000004,0.8000000000000007,1.120000000000001,1.4399999999999995,1.7599999999999998,2.08,2.4000000000000004,2.7200000000000006,3.040000000000001,3.3599999999999994,3.6799999999999997,4.0,4.32,4.640000000000001,4.960000000000001,5.280000000000001,5.6,5.92,6.24,6.5600000000000005,6.880000000000001,7.200000000000001,7.52,7.84]) - - # Creating weights for histo: y99_ETA_0 - y99_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y99_ETA_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\eta$ $[ b_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y99_ETA_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y99_ETA_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_98.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_98.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_98.eps') - -# Running! -if __name__ == '__main__': - selection_98() diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_99.C b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_99.C deleted file mode 100644 index 72faa985..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_99.C +++ /dev/null @@ -1,99 +0,0 @@ -void selection_99() -{ - - // ROOT version - Int_t root_version = gROOT->GetVersionInt(); - - // Creating a new TCanvas - TCanvas* canvas = new TCanvas("canvas_plotflow_tempo199","canvas_plotflow_tempo199",0,0,700,500); - gStyle->SetOptStat(0); - gStyle->SetOptTitle(0); - canvas->SetHighLightColor(2); - canvas->SetFillColor(0); - canvas->SetBorderMode(0); - canvas->SetBorderSize(3); - canvas->SetFrameBorderMode(0); - canvas->SetFrameBorderSize(0); - canvas->SetTickx(1); - canvas->SetTicky(1); - canvas->SetLeftMargin(0.14); - canvas->SetRightMargin(0.05); - canvas->SetBottomMargin(0.15); - canvas->SetTopMargin(0.05); - - // Creating a new TH1F - TH1F* S100_PHI_0 = new TH1F("S100_PHI_0","S100_PHI_0",32,-3.2,3.2); - // Content - S100_PHI_0->SetBinContent(0,0.0); // underflow - S100_PHI_0->SetBinContent(1,0.0); - S100_PHI_0->SetBinContent(2,0.0); - S100_PHI_0->SetBinContent(3,0.0); - S100_PHI_0->SetBinContent(4,0.0); - S100_PHI_0->SetBinContent(5,0.0); - S100_PHI_0->SetBinContent(6,0.0); - S100_PHI_0->SetBinContent(7,0.0); - S100_PHI_0->SetBinContent(8,0.0); - S100_PHI_0->SetBinContent(9,0.0); - S100_PHI_0->SetBinContent(10,0.0); - S100_PHI_0->SetBinContent(11,0.0); - S100_PHI_0->SetBinContent(12,0.0); - S100_PHI_0->SetBinContent(13,0.0); - S100_PHI_0->SetBinContent(14,0.0); - S100_PHI_0->SetBinContent(15,0.0); - S100_PHI_0->SetBinContent(16,0.0); - S100_PHI_0->SetBinContent(17,0.0); - S100_PHI_0->SetBinContent(18,0.0); - S100_PHI_0->SetBinContent(19,0.0); - S100_PHI_0->SetBinContent(20,0.0); - S100_PHI_0->SetBinContent(21,0.0); - S100_PHI_0->SetBinContent(22,0.0); - S100_PHI_0->SetBinContent(23,0.0); - S100_PHI_0->SetBinContent(24,0.0); - S100_PHI_0->SetBinContent(25,0.0); - S100_PHI_0->SetBinContent(26,0.0); - S100_PHI_0->SetBinContent(27,0.0); - S100_PHI_0->SetBinContent(28,0.0); - S100_PHI_0->SetBinContent(29,0.0); - S100_PHI_0->SetBinContent(30,0.0); - S100_PHI_0->SetBinContent(31,0.0); - S100_PHI_0->SetBinContent(32,0.0); - S100_PHI_0->SetBinContent(33,0.0); // overflow - S100_PHI_0->SetEntries(0); - // Style - S100_PHI_0->SetLineColor(9); - S100_PHI_0->SetLineStyle(1); - S100_PHI_0->SetLineWidth(1); - S100_PHI_0->SetFillColor(9); - S100_PHI_0->SetFillStyle(1001); - - // Creating a new THStack - THStack* stack = new THStack("mystack_200","mystack"); - stack->Add(S100_PHI_0); - stack->Draw(""); - - // Y axis - stack->GetYaxis()->SetLabelSize(0.04); - stack->GetYaxis()->SetLabelOffset(0.005); - stack->GetYaxis()->SetTitleSize(0.06); - stack->GetYaxis()->SetTitleFont(22); - stack->GetYaxis()->SetTitleOffset(1); - stack->GetYaxis()->SetTitle("Events (not normalized)"); - - // X axis - stack->GetXaxis()->SetLabelSize(0.04); - stack->GetXaxis()->SetLabelOffset(0.005); - stack->GetXaxis()->SetTitleSize(0.06); - stack->GetXaxis()->SetTitleFont(22); - stack->GetXaxis()->SetTitleOffset(1); - stack->GetXaxis()->SetTitle("#phi [ b_{2} ] "); - - // Finalizing the TCanvas - canvas->SetLogx(0); - canvas->SetLogy(0); - - // Saving the image - canvas->SaveAs("../../HTML/MadAnalysis5job_0/selection_99.png"); - canvas->SaveAs("../../PDF/MadAnalysis5job_0/selection_99.png"); - canvas->SaveAs("../../DVI/MadAnalysis5job_0/selection_99.eps"); - -} diff --git a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_99.py b/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_99.py deleted file mode 100644 index 1640de43..00000000 --- a/validation/outputs/lhe_histos_0/Output/Histos/MadAnalysis5job_0/selection_99.py +++ /dev/null @@ -1,62 +0,0 @@ -def selection_99(): - - # Library import - import numpy - import matplotlib - import matplotlib.pyplot as plt - import matplotlib.gridspec as gridspec - - # Library version - matplotlib_version = matplotlib.__version__ - numpy_version = numpy.__version__ - - # Histo binning - xBinning = numpy.linspace(-3.2,3.2,33,endpoint=True) - - # Creating data sequence: middle of each bin - xData = numpy.array([-3.1,-2.9000000000000004,-2.7,-2.5,-2.3000000000000003,-2.1,-1.9000000000000001,-1.7000000000000002,-1.5,-1.3,-1.1,-0.8999999999999999,-0.7000000000000002,-0.5,-0.2999999999999998,-0.10000000000000009,0.10000000000000009,0.2999999999999998,0.5,0.7000000000000002,0.9000000000000004,1.0999999999999996,1.2999999999999998,1.5,1.7000000000000002,1.9000000000000004,2.1000000000000005,2.3,2.5,2.7,2.9000000000000004,3.1000000000000005]) - - # Creating weights for histo: y100_PHI_0 - y100_PHI_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) - - # Creating a new Canvas - fig = plt.figure(figsize=(8.75,6.25),dpi=80) - frame = gridspec.GridSpec(1,1) - pad = fig.add_subplot(frame[0]) - - # Creating a new Stack - pad.hist(x=xData, bins=xBinning, weights=y100_PHI_0_weights,\ - label="$testset$", rwidth=1.0,\ - color="#5954d8", edgecolor="#5954d8", linewidth=1, linestyle="solid",\ - bottom=None, cumulative=False, density=False, align="mid", orientation="vertical") - - - # Axis - plt.rc('text',usetex=False) - plt.xlabel(r"$\phi$ $[ b_{2} ]$ ",\ - fontsize=16,color="black") - plt.ylabel(r"$\mathrm{Events}$ $(\mathrm{not}\ \mathrm{normalized})$",\ - fontsize=16,color="black") - - # Boundary of y-axis - ymax=(y100_PHI_0_weights).max()*1.1 - ymin=0 # linear scale - #ymin=min([x for x in (y100_PHI_0_weights) if x])/100. # log scale - plt.gca().set_ylim(ymin,ymax) - - # Log/Linear scale for X-axis - plt.gca().set_xscale("linear") - #plt.gca().set_xscale("log",nonpositive="clip") - - # Log/Linear scale for Y-axis - plt.gca().set_yscale("linear") - #plt.gca().set_yscale("log",nonpositive="clip") - - # Saving the image - plt.savefig('../../HTML/MadAnalysis5job_0/selection_99.png') - plt.savefig('../../PDF/MadAnalysis5job_0/selection_99.png') - plt.savefig('../../DVI/MadAnalysis5job_0/selection_99.eps') - -# Running! -if __name__ == '__main__': - selection_99() diff --git a/validation/outputs/lhe_histos_0/Output/PDF/MadAnalysis5job_0/jheppub.sty b/validation/outputs/lhe_histos_0/Output/PDF/MadAnalysis5job_0/jheppub.sty deleted file mode 100644 index 90b55d9f..00000000 --- a/validation/outputs/lhe_histos_0/Output/PDF/MadAnalysis5job_0/jheppub.sty +++ /dev/null @@ -1,353 +0,0 @@ -\NeedsTeXFormat{LaTeX2e} -\ProvidesPackage{jheppub}[2012/06/08 r448] - - -\gdef\@fpheader{} -\gdef\@journal{jhep} - -\RequirePackage{amsmath} -\RequirePackage{amssymb} -\RequirePackage{epsfig} -\RequirePackage{graphicx} -\RequirePackage[numbers,sort&compress]{natbib} -\RequirePackage{color} -\RequirePackage[colorlinks=true -,urlcolor=blue -,anchorcolor=blue -,citecolor=blue -,filecolor=blue -,linkcolor=blue -,menucolor=blue -,pagecolor=blue -,linktocpage=true -,pdfproducer=medialab -]{hyperref} - -\newif\ifnotoc\notocfalse -\newif\ifemailadd\emailaddfalse -\newif\iftoccontinuous\toccontinuousfalse - -\def\@subheader{\@empty} -\def\@keywords{\@empty} -\def\@abstract{\@empty} -\def\@xtum{\@empty} -\def\@dedicated{\@empty} -\def\@arxivnumber{\@empty} -\def\@collaboration{\@empty} -\def\@collaborationImg{\@empty} -\def\@proceeding{\@empty} -\def\@preprint{\@empty} - -\newcommand{\subheader}[1]{\gdef\@subheader{#1}} -\newcommand{\keywords}[1]{\if!\@keywords!\gdef\@keywords{#1}\else% -\PackageWarningNoLine{\jname}{Keywords already defined.\MessageBreak Ignoring last definition.}\fi} -\renewcommand{\abstract}[1]{\gdef\@abstract{#1}} -\newcommand{\dedicated}[1]{\gdef\@dedicated{#1}} -\newcommand{\arxivnumber}[1]{\gdef\@arxivnumber{#1}} -\newcommand{\proceeding}[1]{\gdef\@proceeding{#1}} -\newcommand{\xtumfont}[1]{\textsc{#1}} -\newcommand{\correctionref}[3]{\gdef\@xtum{\xtumfont{#1} \href{#2}{#3}}} -\newcommand\jname{JHEP} -\newcommand\acknowledgments{\section*{Acknowledgments}} -\newcommand\notoc{\notoctrue} -\newcommand\preprint[1]{\gdef\@preprint{\hfill #1}} - - - -%Equivalent to ``\footnote'', but can be used inside the \author macro -% because it does not 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-\AtBegShi@Output ...ipout \box \AtBeginShipoutBox - \fi \fi -l.732 \newpage - <./selection_9.png>] -Overfull \hbox (55.33208pt too wide) in paragraph at lines 738--745 - [] - -Underfull \hbox (badness 10000) in paragraph at lines 735--746 - -[18pdfTeX warning (ext4): destination with the same identifier (name{figure.11} -) has been already used, duplicate ignored - -\AtBegShi@Output ...ipout \box \AtBeginShipoutBox - \fi \fi -l.754 \newpage - <./selection_10.png>] -Overfull \hbox (55.33208pt too wide) in paragraph at lines 760--767 - [] - -Underfull \hbox (badness 10000) in paragraph at lines 757--768 - -[19pdfTeX warning (ext4): destination with the same identifier (name{figure.12} -) has been already used, duplicate ignored - -\AtBegShi@Output ...ipout \box \AtBeginShipoutBox - \fi \fi -l.776 \newpage - <./selection_11.png>] -Overfull \hbox (55.33208pt too wide) in paragraph at lines 782--789 - [] - -Underfull \hbox (badness 10000) in paragraph at lines 779--790 - -[20pdfTeX warning 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zSYDdOe4Z0v&6}CM<1gPrGp<={A6~0VzJjs3;+lhbP)Ph6>6bbr!we~#@+z*L-da{KlZw_AClKHa(%Z*Y0O#HJ_5|3#kg zs7tyrseBuExw7&!ohyA`fT{F}c{%rY#l_QVeoa55d}4-beQfor<`aqDs;^p)PblNGG;>Qx{NfKPMyV@%`8oPQxg>36a{jb(U<$qBGW&ywQ8sW>DsbP~221a~kEVd? z^OfE68Mx&>G%fv?IyKu&8cwGIu30saWTipVrw;g-C_3`3@*0k(9R=`rRH7wia zb1~42Es>8`W&_jZg}mPUU2!X9m-}VcGJAn~-Wq?6d|Z5AJZtuf`%?3-X6gs* zIMlE-`oA;KoaSkH`xLJHyEtKKc?Pf8mcPb1FB@-7ytMUD$I|Cn&l}c>ZklEnDhA}Q zSi1h_VxYH<>HJ+*&iOLRF@DL_@ZF2cj%mgu-nq0rRukxaPw)DluD}Y!C-PUfIX6(^ z)+PJ(dx1scjE!H;zY_(TqT|0lTEENp5d;M*!WvwvtG8Q%%ut8zdQ1d zG*_%WS>0dvVDqw#)?ZKL`+hHd8F*mUysC))rfYBhb<4G`sl3f<%N6~Zcm3tXR@wh9 zYJbs4I=ese!r~QM-`ri`eusDF-NuaId=B6kneuMIw{LnQyff3kddz>YNPEW))|c+v zlyeR@6tBGGdRO=O^~;aI9ki0ucQg*M-BY^!!}V_3 zs^8B}oy-XQ ze(B@g%`0~Mb*hKgUf!SVAbv*BzptX`$mGXumt{VGld0Zo`LBF3x6+-`S=`DwKb|Rh zh&)Vr{)l7uKFevfeRogDe4qd9#+)-74W}osH#)v9weRm~nd+&Q-|CBNHa?lAbf-vAjv!DJXV2)=O cmn0UIQ~=kga2c8#7#W!wbE&Gj`nz!f0NwgEeE\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>import samples/\-ttbar\_sl\_1.lhe.gz as testset\\ -} -\texttt{ }\texttt{ }\texttt{ma5>set main.normalize = none\\ -} -\texttt{ }\texttt{ }\texttt{ma5>set main.lumi = 1.0\\ -} -\texttt{ }\texttt{ }\texttt{ma5>define e = e+ e-\\ -} -\texttt{ }\texttt{ }\texttt{ma5>define mu = mu+ mu-\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot SQRTS 50 0 5000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot SCALE 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ALPHA\_QCD 50 0 0.3\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ALPHA\_QED 50 0 0.02\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot TET 50 0 5000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot THT 50 0 5000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MET 50 0 1500\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MHT 50 0 1500\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot NPID\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot NAPID\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot WEIGHTS\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(e) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(e) 50 0 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(e) 32 -3.2 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(e) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ET(e) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e) 50 0 20\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT(e) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(e) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot P(e) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PX(e) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PY(e) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PZ(e) 50 -2000 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot R(e) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot Y(e) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot BETA(e) 50 0 1.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(e) 50 1 100\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(e[1]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(e[1]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(e[1]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(e[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(e[2]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(e[2]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(e[2]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(e[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e[1] e[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[1] e[2]) 50 0 1500 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e[1],e[2]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(e[1],e[2]) 32 0 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(e[1],e[2]) 32 0 6.4 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(mu) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(mu) 50 0 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(mu) 32 -3.2 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(mu) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ET(mu) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(mu) 50 0 20\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT(mu) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(mu) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot P(mu) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PX(mu) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PY(mu) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PZ(mu) 50 -2000 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot R(mu) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot Y(mu) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot BETA(mu) 50 0 1.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(mu) 50 1 100\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(mu[1]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(mu[1]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(mu[1]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(mu[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(mu[2]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(mu[2]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(mu[2]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(mu[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(mu[1] mu[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu[1] mu[2]) 50 0 1500 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu[1],mu[2]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(mu[1],mu[2]) 32 0 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(mu[1],mu[2]) 32 0 6.4 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(b) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(b) 50 0 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(b) 32 -3.2 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(b) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ET(b) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(b) 50 0 50\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT(b) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(b) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot P(b) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PX(b) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PY(b) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PZ(b) 50 -2000 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot R(b) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot Y(b) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot BETA(b) 50 0 1.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(b) 50 1 100\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(b[1]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(b[1]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(b[1]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(b[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(b[2]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(b[2]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(b[2]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(b[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(b[1] b[2]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[1] b[2]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b[1],b[2]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(b[1],b[2]) 32 0 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(b[1],b[2]) 32 0 6.4 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(j) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(j) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ABSETA(j) 50 0 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(j) 32 -3.2 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(j) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ET(j) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(j) 50 0 200\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT(j) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(j) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot P(j) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PX(j) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PY(j) 50 -1000 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PZ(j) 50 -2000 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot R(j) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot Y(j) 50 -8 8\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot BETA(j) 50 0 1.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot GAMMA(j) 50 1 100\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(j[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(j[1]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(j[1]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(j[1]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(j[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(j[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot ETA(j[2]) 50 -8 8 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PHI(j[2]) 32 -3.2 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot E(j[2]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot MT\_MET(j[2]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(j[1] j[2]) 50 0 3000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(j[1] j[2]) 50 0 3000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(j[1],j[2]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(j[1],j[2]) 32 0 3.2 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(j[1],j[2]) 32 0 6.4 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e,e) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(e,e) 32 0 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(e,e) 32 0 6.4\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e e) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e e) 50 0 1500\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu,mu) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(mu,mu) 32 0 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(mu,mu) 32 0 6.4\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(mu mu) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(mu mu) 50 0 1500\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b,b) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(b,b) 32 0 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(b,b) 32 0 6.4\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(b b) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b b) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(j,j) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_PI(j,j) 32 0 3.2\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DPHI\_0\_2PI(j,j) 32 0 6.4\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(j j) 50 0 3000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(j j) 50 0 3000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e,mu) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e,j) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu,j) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b,j) 50 0 10\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e mu) 50 0 1000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e j) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(mu j) 50 0 2000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(b j) 50 0 3000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e mu) 50 0 1500\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b j) 50 0 3000\\ -} -\texttt{ }\texttt{ }\texttt{ma5>\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e[1],mu[1]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(e[1],j[1]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(mu[1],j[1]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot DELTAR(b[1],j[1]) 50 0 10 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e[1] mu[1]) 50 0 1000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(e[1] j[1]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(mu[1] j[1]) 50 0 2000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot M(b[1] j[1]) 50 0 3000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(e[1] mu[1]) 50 0 1500 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>plot PT(b[1] j[1]) 50 0 3000 [PTordering]\\ -} -\texttt{ }\texttt{ }\texttt{ma5>submit\\ -} -\texttt{ }\texttt{ }\subsection{ Configuration} - -\begin{itemize} - \item MadAnalysis version 1.11.0 (2025/\-04/\-23). - \item Histograms are not scaled. - -\end{itemize} -% ----------------------------------------------------------------------------- -% SECTION Datasets -% ----------------------------------------------------------------------------- -\newpage -\section{ Datasets} - -\subsection{ testset} - -\begin{itemize} - \item Sample consisting of: \textcolor{blue}{signal} events. - \item Generated events: \textcolor{blue}{1000 } events. - \item Normalization to the luminosity: \textcolor{blue}{15447}\textcolor{blue}{ +/\-- }\textcolor{blue}{114 } events. - \item\textcolor{red}{Ratio (event weight): }\textcolor{red}{15 }\textcolor{red}{ - warning: please generate more events (weight larger than 1)!} -\textcolor{red}{} -\end{itemize} -\begin{table}[H] - \begin{center} - \begin{tabular}{|m{55.0mm}|m{25.0mm}|m{30.0mm}|m{30.0mm}|} - \hline - {\cellcolor{yellow} Path to the event file}& {\cellcolor{yellow} Nr. of events}& {\cellcolor{yellow} Cross section (pb)}& {\cellcolor{yellow} Negative wgts (\%)}\\ - \hline - {\cellcolor{white} samples/\-ttbar\_sl\_1.lhe.gz}& {\cellcolor{white} 1000}& {\cellcolor{white} 15.4 @ 0.74\%}& {\cellcolor{white} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -% ----------------------------------------------------------------------------- -% SECTION Histos and cuts -% ----------------------------------------------------------------------------- -\newpage -\section{ Histos and cuts} - -\subsection{ Histogram 1} - -\textbf{* Plot: SQRTS}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 489.445}& {\cellcolor{white} 124.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_0.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 2} - -\textbf{* Plot: SCALE}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 214.211}& {\cellcolor{white} 45.19}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_1.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 3} - -\textbf{* Plot: ALPHA\_QCD}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.114843}& {\cellcolor{white} 0.002765}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_2.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 4} - -\textbf{* Plot: ALPHA\_QED}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0795775}& {\cellcolor{white} 4.683e-05}& {\cellcolor{red} 0.0}& {\cellcolor{red} 100.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_3.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 5} - -\textbf{* Plot: TET}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 308.078}& {\cellcolor{white} 93.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_4.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 6} - -\textbf{* Plot: THT}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 258.83}& {\cellcolor{white} 79.71}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_5.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 7} - -\textbf{* Plot: MET}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 58.7171}& {\cellcolor{white} 37.97}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_6.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 8} - -\textbf{* Plot: MHT}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.1686}& {\cellcolor{white} 52.75}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_7.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 9} - -\textbf{* Plot: NPID}\\ - \begin{table}[H] - \begin{center} - \caption{ Statistics table} - \begin{tabular}{|m{40.0mm}|m{64.0mm}|m{36.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries /\- events}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 92.7}& {\cellcolor{white} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_8.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 10} - -\textbf{* Plot: NAPID}\\ - \begin{table}[H] - \begin{center} - \caption{ Statistics table} - \begin{tabular}{|m{40.0mm}|m{64.0mm}|m{36.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries /\- events}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 92.7}& {\cellcolor{white} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_9.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 11} - -\textbf{* Plot: WEIGHTS}\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0154478}& {\cellcolor{white} 1.051e-05}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_10.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 12} - -\textbf{* Plot: PT ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 49.9595}& {\cellcolor{white} 38.03}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_11.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 13} - -\textbf{* Plot: ETA ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0509938}& {\cellcolor{white} 1.152}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_12.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 14} - -\textbf{* Plot: ABSETA ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.946635}& {\cellcolor{white} 0.6582}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_13.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 15} - -\textbf{* Plot: PHI ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0207825}& {\cellcolor{white} 1.754}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_14.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 16} - -\textbf{* Plot: E ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.8171}& {\cellcolor{white} 77.33}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_15.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 17} - -\textbf{* Plot: ET ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 49.9595}& {\cellcolor{white} 38.03}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_16.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 18} - -\textbf{* Plot: M ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.44661e-06}& {\cellcolor{white} 0.0005939}& {\cellcolor{red} 51.58}& {\cellcolor{red} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_17.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 19} - -\textbf{* Plot: MT ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.000106287}& {\cellcolor{white} 0.0001899}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_18.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 20} - -\textbf{* Plot: MT\_MET ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 58.4921}& {\cellcolor{white} 22.25}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_19.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 21} - -\textbf{* Plot: P ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.8171}& {\cellcolor{white} 77.33}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_20.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 22} - -\textbf{* Plot: PX ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.09172}& {\cellcolor{white} 43.07}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_21.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 23} - -\textbf{* Plot: PY ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.615749}& {\cellcolor{white} 45.63}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_22.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 24} - -\textbf{* Plot: PZ ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 7.00982}& {\cellcolor{white} 98.49}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_23.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 25} - -\textbf{* Plot: R ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.93047}& {\cellcolor{white} 0.8241}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_24.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 26} - -\textbf{* Plot: Y ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0509938}& {\cellcolor{white} 1.152}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_25.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 27} - -\textbf{* Plot: BETA ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_26.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 28} - -\textbf{* Plot: GAMMA ( e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} nan}& {\cellcolor{white} nan}& {\cellcolor{red} 0.0}& {\cellcolor{red} 48.42}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_27.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 29} - -\textbf{* Plot: PT ( e[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 49.9595}& {\cellcolor{white} 38.03}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_28.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 30} - -\textbf{* Plot: ETA ( e[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0509938}& {\cellcolor{white} 1.152}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_29.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 31} - -\textbf{* Plot: PHI ( e[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0207825}& {\cellcolor{white} 1.754}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_30.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 32} - -\textbf{* Plot: E ( e[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.8171}& {\cellcolor{white} 77.33}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_31.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 33} - -\textbf{* Plot: MT\_MET ( e[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 58.4921}& {\cellcolor{white} 22.25}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_32.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 34} - -\textbf{* Plot: PT ( e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_33.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 35} - -\textbf{* Plot: ETA ( e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_34.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 36} - -\textbf{* Plot: PHI ( e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_35.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 37} - -\textbf{* Plot: E ( e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_36.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 38} - -\textbf{* Plot: MT\_MET ( e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_37.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 39} - -\textbf{* Plot: M ( e[1] e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_38.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 40} - -\textbf{* Plot: PT ( e[1] e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_39.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 41} - -\textbf{* Plot: DELTAR ( e[1] , e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_40.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 42} - -\textbf{* Plot: DPHI\_0\_PI ( e[1] , e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_41.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 43} - -\textbf{* Plot: DPHI\_0\_2PI ( e[1] , e[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_42.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 44} - -\textbf{* Plot: PT ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 48.5205}& {\cellcolor{white} 33.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_43.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 45} - -\textbf{* Plot: ETA ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0359047}& {\cellcolor{white} 1.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_44.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 46} - -\textbf{* Plot: ABSETA ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.938579}& {\cellcolor{white} 0.6297}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_45.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 47} - -\textbf{* Plot: PHI ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.0970943}& {\cellcolor{white} 1.804}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_46.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 48} - -\textbf{* Plot: E ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.6679}& {\cellcolor{white} 68.85}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_47.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 49} - -\textbf{* Plot: ET ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 48.5205}& {\cellcolor{white} 33.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_48.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 50} - -\textbf{* Plot: M ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 5.6886e-06}& {\cellcolor{white} 0.0005586}& {\cellcolor{red} 47.57}& {\cellcolor{red} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_49.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 51} - -\textbf{* Plot: MT ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.000106791}& {\cellcolor{white} 0.0001948}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_50.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 52} - -\textbf{* Plot: MT\_MET ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 59.2324}& {\cellcolor{white} 21.72}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_51.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 53} - -\textbf{* Plot: P ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.6679}& {\cellcolor{white} 68.85}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_52.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 54} - -\textbf{* Plot: PX ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.91001}& {\cellcolor{white} 42.25}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_53.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 55} - -\textbf{* Plot: PY ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.97706}& {\cellcolor{white} 40.74}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_54.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 56} - -\textbf{* Plot: PZ ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.0695523}& {\cellcolor{white} 91.06}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_55.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 57} - -\textbf{* Plot: R ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.9459}& {\cellcolor{white} 0.8686}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_56.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 58} - -\textbf{* Plot: Y ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0359047}& {\cellcolor{white} 1.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_57.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 59} - -\textbf{* Plot: BETA ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_58.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 60} - -\textbf{* Plot: GAMMA ( mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} nan}& {\cellcolor{white} nan}& {\cellcolor{red} 0.0}& {\cellcolor{red} 52.43}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_59.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 61} - -\textbf{* Plot: PT ( mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 48.5205}& {\cellcolor{white} 33.1}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_60.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 62} - -\textbf{* Plot: ETA ( mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0359047}& {\cellcolor{white} 1.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_61.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 63} - -\textbf{* Plot: PHI ( mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} -0.0970943}& {\cellcolor{white} 1.804}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_62.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 64} - -\textbf{* Plot: E ( mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 83.6679}& {\cellcolor{white} 68.85}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_63.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 65} - -\textbf{* Plot: MT\_MET ( mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 59.2324}& {\cellcolor{white} 21.72}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_64.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 66} - -\textbf{* Plot: PT ( mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_65.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 67} - -\textbf{* Plot: ETA ( mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_66.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 68} - -\textbf{* Plot: PHI ( mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_67.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 69} - -\textbf{* Plot: E ( mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_68.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 70} - -\textbf{* Plot: MT\_MET ( mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_69.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 71} - -\textbf{* Plot: M ( mu[1] mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_70.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 72} - -\textbf{* Plot: PT ( mu[1] mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_71.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 73} - -\textbf{* Plot: DELTAR ( mu[1] , mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_72.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 74} - -\textbf{* Plot: DPHI\_0\_PI ( mu[1] , mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_73.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 75} - -\textbf{* Plot: DPHI\_0\_2PI ( mu[1] , mu[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_74.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 76} - -\textbf{* Plot: PT ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 72.2733}& {\cellcolor{white} 38.02}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_75.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 77} - -\textbf{* Plot: ETA ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.048521}& {\cellcolor{white} 1.264}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_76.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 78} - -\textbf{* Plot: ABSETA ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.02001}& {\cellcolor{white} 0.7485}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_77.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 79} - -\textbf{* Plot: PHI ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0257839}& {\cellcolor{white} 1.82}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_78.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 80} - -\textbf{* Plot: E ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 139.461}& {\cellcolor{white} 106.8}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_79.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 81} - -\textbf{* Plot: ET ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 72.3671}& {\cellcolor{white} 37.99}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_80.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 82} - -\textbf{* Plot: M ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 4.7}& {\cellcolor{white} 0.001892}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_81.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 83} - -\textbf{* Plot: MT ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 3.10162}& {\cellcolor{white} 1.297}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_82.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 84} - -\textbf{* Plot: MT\_MET ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.6682}& {\cellcolor{white} 54.39}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_83.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 85} - -\textbf{* Plot: P ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 139.338}& {\cellcolor{white} 106.9}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_84.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 86} - -\textbf{* Plot: PX ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} -1.79812}& {\cellcolor{white} 56.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_85.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 87} - -\textbf{* Plot: PY ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.05422}& {\cellcolor{white} 58.87}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_86.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 88} - -\textbf{* Plot: PZ ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.7842}& {\cellcolor{white} 155.5}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_87.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 89} - -\textbf{* Plot: R ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.03579}& {\cellcolor{white} 0.878}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_88.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 90} - -\textbf{* Plot: Y ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0482562}& {\cellcolor{white} 1.261}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_89.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 91} - -\textbf{* Plot: BETA ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.998042}& {\cellcolor{white} 0.002796}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_90.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 92} - -\textbf{* Plot: GAMMA ( b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 29.6726}& {\cellcolor{white} 22.73}& {\cellcolor{green} 0.0}& {\cellcolor{green} 2.3}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_91.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 93} - -\textbf{* Plot: PT ( b[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 72.2733}& {\cellcolor{white} 38.02}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_92.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 94} - -\textbf{* Plot: ETA ( b[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.048521}& {\cellcolor{white} 1.264}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_93.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 95} - -\textbf{* Plot: PHI ( b[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0257839}& {\cellcolor{white} 1.82}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_94.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 96} - -\textbf{* Plot: E ( b[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 139.461}& {\cellcolor{white} 106.8}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_95.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 97} - -\textbf{* Plot: MT\_MET ( b[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.6682}& {\cellcolor{white} 54.39}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_96.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 98} - -\textbf{* Plot: PT ( b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_97.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 99} - -\textbf{* Plot: ETA ( b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_98.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 100} - -\textbf{* Plot: PHI ( b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_99.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 101} - -\textbf{* Plot: E ( b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_100.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 102} - -\textbf{* Plot: MT\_MET ( b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_101.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 103} - -\textbf{* Plot: M ( b[1] b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_102.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 104} - -\textbf{* Plot: PT ( b[1] b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_103.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 105} - -\textbf{* Plot: DELTAR ( b[1] , b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_104.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 106} - -\textbf{* Plot: DPHI\_0\_PI ( b[1] , b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_105.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 107} - -\textbf{* Plot: DPHI\_0\_2PI ( b[1] , b[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_106.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 108} - -\textbf{* Plot: PT ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 56.3608}& {\cellcolor{white} 32.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_107.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 109} - -\textbf{* Plot: ETA ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.0219264}& {\cellcolor{white} 1.2}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_108.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 110} - -\textbf{* Plot: ABSETA ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.971377}& {\cellcolor{white} 0.7051}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_109.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 111} - -\textbf{* Plot: PHI ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.0781512}& {\cellcolor{white} 1.851}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_110.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 112} - -\textbf{* Plot: E ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 104.57}& {\cellcolor{white} 85.46}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_111.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 113} - -\textbf{* Plot: ET ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 56.3608}& {\cellcolor{white} 32.57}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_112.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 114} - -\textbf{* Plot: M ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} -1.3327e-05}& {\cellcolor{white} 0.0006733}& {\cellcolor{red} 50.9}& {\cellcolor{red} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_113.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 115} - -\textbf{* Plot: MT ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.000121728}& {\cellcolor{white} 0.0002075}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_114.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 116} - -\textbf{* Plot: MT\_MET ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 82.308}& {\cellcolor{white} 60.37}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_115.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 117} - -\textbf{* Plot: P ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 104.57}& {\cellcolor{white} 85.46}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_116.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 118} - -\textbf{* Plot: PX ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} -2.36396}& {\cellcolor{white} 45.86}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_117.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 119} - -\textbf{* Plot: PY ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.06079}& {\cellcolor{white} 46.13}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_118.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 120} - -\textbf{* Plot: PZ ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 4.14477}& {\cellcolor{white} 118.3}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_119.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 121} - -\textbf{* Plot: R ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.036}& {\cellcolor{white} 0.8521}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_120.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 122} - -\textbf{* Plot: Y ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 0.0219264}& {\cellcolor{white} 1.2}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_121.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 123} - -\textbf{* Plot: BETA ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_122.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 124} - -\textbf{* Plot: GAMMA ( j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} nan}& {\cellcolor{white} nan}& {\cellcolor{red} 0.0}& {\cellcolor{red} 49.1}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_123.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 125} - -\textbf{* Plot: PT ( j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 74.0942}& {\cellcolor{white} 34.32}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_124.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 126} - -\textbf{* Plot: ETA ( j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0200712}& {\cellcolor{white} 1.117}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_125.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 127} - -\textbf{* Plot: PHI ( j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0625323}& {\cellcolor{white} 1.856}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_126.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 128} - -\textbf{* Plot: E ( j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 129.519}& {\cellcolor{white} 93.36}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_127.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 129} - -\textbf{* Plot: MT\_MET ( j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 98.7583}& {\cellcolor{white} 67.56}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_128.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 130} - -\textbf{* Plot: PT ( j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 38.6273}& {\cellcolor{white} 17.75}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_129.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 131} - -\textbf{* Plot: ETA ( j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0237817}& {\cellcolor{white} 1.278}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_130.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 132} - -\textbf{* Plot: PHI ( j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 0.0937701}& {\cellcolor{white} 1.845}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_131.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 133} - -\textbf{* Plot: E ( j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 79.6223}& {\cellcolor{white} 68.15}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_132.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 134} - -\textbf{* Plot: MT\_MET ( j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 65.8576}& {\cellcolor{white} 46.73}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_133.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 135} - -\textbf{* Plot: M ( j[1] j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 80.3339}& {\cellcolor{white} 4.323}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_134.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 136} - -\textbf{* Plot: PT ( j[1] j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 86.6463}& {\cellcolor{white} 54.96}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_135.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 137} - -\textbf{* Plot: DELTAR ( j[1] , j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.90737}& {\cellcolor{white} 0.6749}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_136.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 138} - -\textbf{* Plot: DPHI\_0\_PI ( j[1] , j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 1.55671}& {\cellcolor{white} 0.809}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_137.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 139} - -\textbf{* Plot: DPHI\_0\_2PI ( j[1] , j[2] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 3.02239}& {\cellcolor{white} 1.775}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_138.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 140} - -\textbf{* Plot: DELTAR ( e , e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_139.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 141} - -\textbf{* Plot: DPHI\_0\_PI ( e , e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_140.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 142} - -\textbf{* Plot: DPHI\_0\_2PI ( e , e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_141.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 143} - -\textbf{* Plot: M ( e e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_142.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 144} - -\textbf{* Plot: PT ( e e ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_143.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 145} - -\textbf{* Plot: DELTAR ( mu , mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_144.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 146} - -\textbf{* Plot: DPHI\_0\_PI ( mu , mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_145.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 147} - -\textbf{* Plot: DPHI\_0\_2PI ( mu , mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_146.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 148} - -\textbf{* Plot: M ( mu mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_147.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 149} - -\textbf{* Plot: PT ( mu mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_148.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 150} - -\textbf{* Plot: DELTAR ( b , b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_149.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 151} - -\textbf{* Plot: DPHI\_0\_PI ( b , b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_150.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 152} - -\textbf{* Plot: DPHI\_0\_2PI ( b , b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_151.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 153} - -\textbf{* Plot: M ( b b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_152.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 154} - -\textbf{* Plot: PT ( b b ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_153.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 155} - -\textbf{* Plot: DELTAR ( j , j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.90737}& {\cellcolor{white} 0.6749}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_154.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 156} - -\textbf{* Plot: DPHI\_0\_PI ( j , j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 1.55671}& {\cellcolor{white} 0.809}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_155.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 157} - -\textbf{* Plot: DPHI\_0\_2PI ( j , j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 3.14159}& {\cellcolor{white} 1.779}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_156.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 158} - -\textbf{* Plot: M ( j j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 80.3339}& {\cellcolor{white} 4.323}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_157.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 159} - -\textbf{* Plot: PT ( j j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 86.6463}& {\cellcolor{white} 54.96}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_158.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 160} - -\textbf{* Plot: DELTAR ( e , mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_159.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 161} - -\textbf{* Plot: DELTAR ( e , j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.6}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.3081}& {\cellcolor{white} 0.8766}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_160.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 162} - -\textbf{* Plot: DELTAR ( mu , j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.3}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.25996}& {\cellcolor{white} 0.8857}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_161.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 163} - -\textbf{* Plot: DELTAR ( b , j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 2.25698}& {\cellcolor{white} 0.8185}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_162.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 164} - -\textbf{* Plot: M ( e mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_163.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 165} - -\textbf{* Plot: M ( e j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.6}& {\cellcolor{white} 2.0}& {\cellcolor{white} 106.004}& {\cellcolor{white} 73.86}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_164.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 166} - -\textbf{* Plot: M ( j mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.3}& {\cellcolor{white} 2.0}& {\cellcolor{white} 101.989}& {\cellcolor{white} 66.26}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_165.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 167} - -\textbf{* Plot: M ( b j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 120.153}& {\cellcolor{white} 62.93}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_166.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 168} - -\textbf{* Plot: PT ( e mu ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_167.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 169} - -\textbf{* Plot: PT ( b j ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 30.9}& {\cellcolor{white} 2.0}& {\cellcolor{white} 80.8933}& {\cellcolor{white} 46.34}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_168.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 170} - -\textbf{* Plot: DELTAR ( e[1] , mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_169.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 171} - -\textbf{* Plot: DELTAR ( e[1] , j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.34591}& {\cellcolor{white} 0.8529}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_170.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 172} - -\textbf{* Plot: DELTAR ( mu[1] , j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.32408}& {\cellcolor{white} 0.8288}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_171.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 173} - -\textbf{* Plot: DELTAR ( b[1] , j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 2.26008}& {\cellcolor{white} 0.798}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_172.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 174} - -\textbf{* Plot: M ( e[1] mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_173.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 175} - -\textbf{* Plot: M ( e[1] j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.82}& {\cellcolor{white} 1.0}& {\cellcolor{white} 123.783}& {\cellcolor{white} 81.94}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_174.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 176} - -\textbf{* Plot: M ( j[1] mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 7.63}& {\cellcolor{white} 1.0}& {\cellcolor{white} 117.989}& {\cellcolor{white} 70.7}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_175.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 177} - -\textbf{* Plot: M ( b[1] j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 137.213}& {\cellcolor{white} 66.95}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_176.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 178} - -\textbf{* Plot: PT ( e[1] mu[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 0.0 +/\-- 0.0}& {\cellcolor{white} 0.}& {\cellcolor{white} 0.0}& {\cellcolor{white} 0.0}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_177.png}\\ -\caption{ } - \end{center} -\end{figure} - \newpage -\subsection{ Histogram 179} - -\textbf{* Plot: PT ( b[1] j[1] ) }\\ - \begin{table}[H] - \begin{center} - \begin{tabular}{|m{23.0mm}|m{23.0mm}|m{18.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|m{19.0mm}|} - \hline - {\cellcolor{yellow} Dataset}& {\cellcolor{yellow} Integral}& {\cellcolor{yellow} Entries per event}& {\cellcolor{yellow} Mean}& {\cellcolor{yellow} RMS}& {\cellcolor{yellow} \% underflow}& {\cellcolor{yellow} \% overflow}\\ - \hline - {\cellcolor{white} testset}& {\cellcolor{white} 15.4}& {\cellcolor{white} 1.0}& {\cellcolor{white} 87.1047}& {\cellcolor{white} 50.81}& {\cellcolor{green} 0.0}& {\cellcolor{green} 0.0}\\ -\hline - \end{tabular} - \end{center} -\end{table} - -\begin{figure}[H] - \begin{center} - \includegraphics[scale=0.45]{selection_178.png}\\ -\caption{ } - \end{center} -\end{figure} - \end{document} diff --git a/validation/outputs/lhe_histos_0/Output/PDF/MadAnalysis5job_0/main.toc b/validation/outputs/lhe_histos_0/Output/PDF/MadAnalysis5job_0/main.toc deleted file mode 100644 index 373c135c..00000000 --- a/validation/outputs/lhe_histos_0/Output/PDF/MadAnalysis5job_0/main.toc +++ /dev/null @@ -1,185 +0,0 @@ -\contentsline {section}{\numberline {1} Setup}{2}{section.1}% -\contentsline {subsection}{\numberline {1.1} Command history}{2}{subsection.1.1}% -\contentsline {subsection}{\numberline {1.2} Configuration}{6}{subsection.1.2}% -\contentsline {section}{\numberline {2} Datasets}{7}{section.2}% -\contentsline {subsection}{\numberline {2.1} testset}{7}{subsection.2.1}% -\contentsline {section}{\numberline {3} Histos and cuts}{8}{section.3}% -\contentsline {subsection}{\numberline {3.1} Histogram 1}{8}{subsection.3.1}% -\contentsline {subsection}{\numberline {3.2} Histogram 2}{9}{subsection.3.2}% -\contentsline {subsection}{\numberline {3.3} Histogram 3}{10}{subsection.3.3}% -\contentsline {subsection}{\numberline {3.4} Histogram 4}{11}{subsection.3.4}% -\contentsline {subsection}{\numberline {3.5} Histogram 5}{12}{subsection.3.5}% -\contentsline {subsection}{\numberline {3.6} Histogram 6}{13}{subsection.3.6}% -\contentsline {subsection}{\numberline {3.7} Histogram 7}{14}{subsection.3.7}% -\contentsline {subsection}{\numberline {3.8} Histogram 8}{15}{subsection.3.8}% -\contentsline {subsection}{\numberline {3.9} Histogram 9}{16}{subsection.3.9}% -\contentsline {subsection}{\numberline {3.10} Histogram 10}{17}{subsection.3.10}% -\contentsline {subsection}{\numberline {3.11} Histogram 11}{18}{subsection.3.11}% -\contentsline {subsection}{\numberline {3.12} Histogram 12}{19}{subsection.3.12}% -\contentsline {subsection}{\numberline {3.13} Histogram 13}{20}{subsection.3.13}% -\contentsline {subsection}{\numberline {3.14} Histogram 14}{21}{subsection.3.14}% -\contentsline {subsection}{\numberline {3.15} Histogram 15}{22}{subsection.3.15}% -\contentsline {subsection}{\numberline {3.16} Histogram 16}{23}{subsection.3.16}% -\contentsline {subsection}{\numberline {3.17} Histogram 17}{24}{subsection.3.17}% -\contentsline {subsection}{\numberline {3.18} Histogram 18}{25}{subsection.3.18}% -\contentsline {subsection}{\numberline {3.19} Histogram 19}{26}{subsection.3.19}% -\contentsline {subsection}{\numberline {3.20} Histogram 20}{27}{subsection.3.20}% -\contentsline {subsection}{\numberline {3.21} Histogram 21}{28}{subsection.3.21}% -\contentsline {subsection}{\numberline {3.22} Histogram 22}{29}{subsection.3.22}% -\contentsline {subsection}{\numberline {3.23} Histogram 23}{30}{subsection.3.23}% -\contentsline {subsection}{\numberline {3.24} Histogram 24}{31}{subsection.3.24}% -\contentsline {subsection}{\numberline {3.25} Histogram 25}{32}{subsection.3.25}% -\contentsline {subsection}{\numberline {3.26} Histogram 26}{33}{subsection.3.26}% -\contentsline {subsection}{\numberline {3.27} Histogram 27}{34}{subsection.3.27}% -\contentsline {subsection}{\numberline {3.28} Histogram 28}{35}{subsection.3.28}% -\contentsline 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0.000000e+00 # sum of weights^2 - - - - diff --git a/validation/outputs/lhe_histos_0/Output/SAF/_testset/MadAnalysis5job_0/MadAnalysis5job.saf b/validation/outputs/lhe_histos_0/Output/SAF/_testset/MadAnalysis5job_0/MadAnalysis5job.saf deleted file mode 100644 index 0ccdda29..00000000 --- a/validation/outputs/lhe_histos_0/Output/SAF/_testset/MadAnalysis5job_0/MadAnalysis5job.saf +++ /dev/null @@ -1,9 +0,0 @@ - - - - - "myregion" - - - - diff --git a/validation/outputs/lhe_histos_0/Output/SAF/_testset/_testset.saf b/validation/outputs/lhe_histos_0/Output/SAF/_testset/_testset.saf deleted file mode 100644 index 1e98112f..00000000 --- a/validation/outputs/lhe_histos_0/Output/SAF/_testset/_testset.saf +++ /dev/null @@ -1,19 +0,0 @@ - - - - -# xsection xsection_error nevents sum_weight+ sum_weight- -1.544783e+01 1.139396e-01 1000 1.544783e+01 0.000000e+00 - - - -"/Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/samples/ttbar_sl_1.lhe.gz" # file 1 / 1 - - - -# xsection xsection_error nevents sum_weight+ sum_weight- -1.544783e+01 1.139396e-01 1000 1.544783e+01 0.000000e+00 # file 1 / 1 - - - - diff --git a/validation/outputs/lhe_histos_0/history.ma5 b/validation/outputs/lhe_histos_0/history.ma5 deleted file mode 100644 index 971429b5..00000000 --- a/validation/outputs/lhe_histos_0/history.ma5 +++ /dev/null @@ -1,211 +0,0 @@ -set main.currentdir = /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5 - - -import samples/ttbar_sl_1.lhe.gz as testset -set main.normalize = none -set main.lumi = 1.0 -define e = e+ e- -define mu = mu+ mu- - - - -plot SQRTS 50 0 5000 -plot SCALE 50 0 2000 -plot ALPHA_QCD 50 0 0.3 -plot ALPHA_QED 50 0 0.02 -plot TET 50 0 5000 -plot THT 50 0 5000 -plot MET 50 0 1500 -plot MHT 50 0 1500 -plot NPID -plot NAPID -plot WEIGHTS - - - -plot PT(e) 50 0 1000 [PTordering] -plot ETA(e) 50 -8 8 -plot ABSETA(e) 50 0 8 -plot PHI(e) 32 -3.2 3.2 -plot E(e) 50 0 2000 -plot ET(e) 50 0 2000 -plot M(e) 50 0 20 -plot MT(e) 50 0 1000 -plot MT_MET(e) 50 0 1000 -plot P(e) 50 0 2000 -plot PX(e) 50 -1000 1000 -plot PY(e) 50 -1000 1000 -plot PZ(e) 50 -2000 2000 -plot R(e) 50 0 10 -plot Y(e) 50 -8 8 -plot BETA(e) 50 0 1.2 -plot GAMMA(e) 50 1 100 - -plot PT(e[1]) 50 0 1000 [PTordering] -plot ETA(e[1]) 50 -8 8 [PTordering] -plot PHI(e[1]) 32 -3.2 3.2 [PTordering] -plot E(e[1]) 50 0 2000 [PTordering] -plot MT_MET(e[1]) 50 0 1000 [PTordering] -plot PT(e[2]) 50 0 1000 [PTordering] -plot ETA(e[2]) 50 -8 8 [PTordering] -plot PHI(e[2]) 32 -3.2 3.2 [PTordering] -plot E(e[2]) 50 0 2000 [PTordering] -plot MT_MET(e[2]) 50 0 1000 [PTordering] -plot M(e[1] e[2]) 50 0 1000 [PTordering] -plot PT(e[1] e[2]) 50 0 1500 [PTordering] -plot DELTAR(e[1],e[2]) 50 0 10 [PTordering] -plot DPHI_0_PI(e[1],e[2]) 32 0 3.2 [PTordering] -plot DPHI_0_2PI(e[1],e[2]) 32 0 6.4 [PTordering] - - - -plot PT(mu) 50 0 1000 [PTordering] -plot ETA(mu) 50 -8 8 -plot ABSETA(mu) 50 0 8 -plot PHI(mu) 32 -3.2 3.2 -plot E(mu) 50 0 2000 -plot ET(mu) 50 0 2000 -plot M(mu) 50 0 20 -plot MT(mu) 50 0 1000 -plot MT_MET(mu) 50 0 1000 -plot P(mu) 50 0 2000 -plot PX(mu) 50 -1000 1000 -plot PY(mu) 50 -1000 1000 -plot PZ(mu) 50 -2000 2000 -plot R(mu) 50 0 10 -plot Y(mu) 50 -8 8 -plot BETA(mu) 50 0 1.2 -plot GAMMA(mu) 50 1 100 - -plot PT(mu[1]) 50 0 1000 [PTordering] -plot ETA(mu[1]) 50 -8 8 [PTordering] -plot PHI(mu[1]) 32 -3.2 3.2 [PTordering] -plot E(mu[1]) 50 0 2000 [PTordering] -plot MT_MET(mu[1]) 50 0 1000 [PTordering] -plot PT(mu[2]) 50 0 1000 [PTordering] -plot ETA(mu[2]) 50 -8 8 [PTordering] -plot PHI(mu[2]) 32 -3.2 3.2 [PTordering] -plot E(mu[2]) 50 0 2000 [PTordering] -plot MT_MET(mu[2]) 50 0 1000 [PTordering] -plot M(mu[1] mu[2]) 50 0 1000 [PTordering] -plot PT(mu[1] mu[2]) 50 0 1500 [PTordering] -plot DELTAR(mu[1],mu[2]) 50 0 10 [PTordering] -plot DPHI_0_PI(mu[1],mu[2]) 32 0 3.2 [PTordering] -plot DPHI_0_2PI(mu[1],mu[2]) 32 0 6.4 [PTordering] - - - -plot PT(b) 50 0 1000 [PTordering] -plot ETA(b) 50 -8 8 -plot ABSETA(b) 50 0 8 -plot PHI(b) 32 -3.2 3.2 -plot E(b) 50 0 2000 -plot ET(b) 50 0 2000 -plot M(b) 50 0 50 -plot MT(b) 50 0 1000 -plot MT_MET(b) 50 0 1000 -plot P(b) 50 0 2000 -plot PX(b) 50 -1000 1000 -plot PY(b) 50 -1000 1000 -plot PZ(b) 50 -2000 2000 -plot R(b) 50 0 10 -plot Y(b) 50 -8 8 -plot BETA(b) 50 0 1.2 -plot GAMMA(b) 50 1 100 - -plot PT(b[1]) 50 0 1000 [PTordering] -plot ETA(b[1]) 50 -8 8 [PTordering] -plot PHI(b[1]) 32 -3.2 3.2 [PTordering] -plot E(b[1]) 50 0 2000 [PTordering] -plot MT_MET(b[1]) 50 0 1000 [PTordering] -plot PT(b[2]) 50 0 1000 [PTordering] -plot ETA(b[2]) 50 -8 8 [PTordering] -plot PHI(b[2]) 32 -3.2 3.2 [PTordering] -plot E(b[2]) 50 0 2000 [PTordering] -plot MT_MET(b[2]) 50 0 1000 [PTordering] -plot M(b[1] b[2]) 50 0 2000 [PTordering] -plot PT(b[1] b[2]) 50 0 2000 [PTordering] -plot DELTAR(b[1],b[2]) 50 0 10 [PTordering] -plot DPHI_0_PI(b[1],b[2]) 32 0 3.2 [PTordering] -plot DPHI_0_2PI(b[1],b[2]) 32 0 6.4 [PTordering] - - - -plot PT(j) 50 0 1000 [PTordering] -plot ETA(j) 50 -8 8 -plot ABSETA(j) 50 0 8 -plot PHI(j) 32 -3.2 3.2 -plot E(j) 50 0 2000 -plot ET(j) 50 0 2000 -plot M(j) 50 0 200 -plot MT(j) 50 0 1000 -plot MT_MET(j) 50 0 1000 -plot P(j) 50 0 2000 -plot PX(j) 50 -1000 1000 -plot PY(j) 50 -1000 1000 -plot PZ(j) 50 -2000 2000 -plot R(j) 50 0 10 -plot Y(j) 50 -8 8 -plot BETA(j) 50 0 1.2 -plot GAMMA(j) 50 1 100 - -plot PT(j[1]) 50 0 1000 [PTordering] -plot ETA(j[1]) 50 -8 8 [PTordering] -plot PHI(j[1]) 32 -3.2 3.2 [PTordering] -plot E(j[1]) 50 0 2000 [PTordering] -plot MT_MET(j[1]) 50 0 1000 [PTordering] -plot PT(j[2]) 50 0 1000 [PTordering] -plot ETA(j[2]) 50 -8 8 [PTordering] -plot PHI(j[2]) 32 -3.2 3.2 [PTordering] -plot E(j[2]) 50 0 2000 [PTordering] -plot MT_MET(j[2]) 50 0 1000 [PTordering] -plot M(j[1] j[2]) 50 0 3000 [PTordering] -plot PT(j[1] j[2]) 50 0 3000 [PTordering] -plot DELTAR(j[1],j[2]) 50 0 10 [PTordering] -plot DPHI_0_PI(j[1],j[2]) 32 0 3.2 [PTordering] -plot DPHI_0_2PI(j[1],j[2]) 32 0 6.4 [PTordering] - - - -plot DELTAR(e,e) 50 0 10 -plot DPHI_0_PI(e,e) 32 0 3.2 -plot DPHI_0_2PI(e,e) 32 0 6.4 -plot M(e e) 50 0 1000 -plot PT(e e) 50 0 1500 -plot DELTAR(mu,mu) 50 0 10 -plot DPHI_0_PI(mu,mu) 32 0 3.2 -plot DPHI_0_2PI(mu,mu) 32 0 6.4 -plot M(mu mu) 50 0 1000 -plot PT(mu mu) 50 0 1500 -plot DELTAR(b,b) 50 0 10 -plot DPHI_0_PI(b,b) 32 0 3.2 -plot DPHI_0_2PI(b,b) 32 0 6.4 -plot M(b b) 50 0 2000 -plot PT(b b) 50 0 2000 -plot DELTAR(j,j) 50 0 10 -plot DPHI_0_PI(j,j) 32 0 3.2 -plot DPHI_0_2PI(j,j) 32 0 6.4 -plot M(j j) 50 0 3000 -plot PT(j j) 50 0 3000 - -plot DELTAR(e,mu) 50 0 10 -plot DELTAR(e,j) 50 0 10 -plot DELTAR(mu,j) 50 0 10 -plot DELTAR(b,j) 50 0 10 -plot M(e mu) 50 0 1000 -plot M(e j) 50 0 2000 -plot M(mu j) 50 0 2000 -plot M(b j) 50 0 3000 -plot PT(e mu) 50 0 1500 -plot PT(b j) 50 0 3000 - -plot DELTAR(e[1],mu[1]) 50 0 10 [PTordering] -plot DELTAR(e[1],j[1]) 50 0 10 [PTordering] -plot DELTAR(mu[1],j[1]) 50 0 10 [PTordering] -plot DELTAR(b[1],j[1]) 50 0 10 [PTordering] -plot M(e[1] mu[1]) 50 0 1000 [PTordering] -plot M(e[1] j[1]) 50 0 2000 [PTordering] -plot M(mu[1] j[1]) 50 0 2000 [PTordering] -plot M(b[1] j[1]) 50 0 3000 [PTordering] -plot PT(e[1] mu[1]) 50 0 1500 [PTordering] -plot PT(b[1] j[1]) 50 0 3000 [PTordering] diff --git a/validation/outputs/lhe_histos_0/layout.ma5 b/validation/outputs/lhe_histos_0/layout.ma5 deleted file mode 100644 index 35b70ec7..00000000 --- a/validation/outputs/lhe_histos_0/layout.ma5 +++ /dev/null @@ -1,1617 +0,0 @@ -################################################################################ -# MADANALYSIS5 CONFIGURATION FILE FOR PLOTS # -# produced by MadAnalysis5 version 1.11.0 # -# 2025/04/23 # -################################################################################ - -################################################################################ -# Files and Paths # -################################################################################ - - jobdir = /Users/fuks/Documents/HEPTools/MadAnalysis5/GitRepository/tmp/madanalysis5/ANALYSIS_0 - html = 1 - latex = 1 - pdflatex = 1 - - -################################################################################ -# Global information related to the layout # -################################################################################ -

      - - normalize = "0" - lumi = 1.0 # fb^{-1} - - - stack = 1 - - - fom = "4" - x = "0" - -
      - -################################################################################ -# Definition of datasets # -################################################################################ - - - - background = False - weight = 1.0 - xsection = 0.0 - - - title = testset - linecolor = 0 - linestyle = 0 - lineshade = 0 - linewidth = 1 - backcolor = 0 - backstyle = 1 - backshade = 0 - - - - -################################################################################ -# Definition of regions # -################################################################################ - - - -################################################################################ -# Definition of the selection : histograms and cuts # -################################################################################ - - - stack = 0 - titleX = "#sqrt{#hat{s}} (GeV) " - titleY = "Events " - xmin = 0.0 - xmax = 5000.0 - - - stack = 0 - titleX = "event scale Q (GeV) " - titleY = "Events " - xmin = 0.0 - xmax = 2000.0 - - - stack = 0 - titleX = "#alpha_{QCD} " - titleY = "Events " - xmin = 0.0 - xmax = 0.3 - - - stack = 0 - titleX = "#alpha_{QED} " - titleY = "Events " - xmin = 0.0 - xmax = 0.02 - - - stack = 0 - titleX = "E_{T} (GeV) " - titleY = "Events " - xmin = 0.0 - xmax = 5000.0 - - - stack = 0 - titleX = "H_{T} (GeV) " - titleY = "Events " - xmin = 0.0 - xmax = 5000.0 - - - stack = 0 - titleX = "#slash{E}_{T} (GeV) " - titleY = "Events " - xmin = 0.0 - xmax = 1500.0 - - - stack = 0 - titleX = "#slash{H}_{T} (GeV) " - titleY = "Events " - xmin = 0.0 - xmax = 1500.0 - - - stack = 0 - titleX = "NPID " - titleY = "N. of particles" - xmin = 0.0 - xmax = 100.0 - - - stack = 0 - titleX = "|NPID| " - titleY = "N. of particles" - xmin = 0.0 - xmax = 100.0 - - - stack = 0 - titleX = "#omega " - titleY = "Events " - xmin = -1.0 - xmax = 1.0 - - - stack = 0 - titleX = "p_{T} [ e ] (GeV/c) " - titleY = "N. of e" - xmin = 0.0 - xmax = 1000.0 - - - stack = 0 - titleX = "#eta [ e ] " - 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= -1000.0 - xmax = 1000.0 - - - stack = 0 - titleX = "p_{z} [ e ] (GeV/c) " - titleY = "N. of e" - xmin = -2000.0 - xmax = 2000.0 - - - stack = 0 - titleX = "R [ e ] " - titleY = "N. of e" - xmin = 0.0 - xmax = 10.0 - - - stack = 0 - titleX = "y [ e ] " - titleY = "N. of e" - xmin = -8.0 - xmax = 8.0 - - - stack = 0 - titleX = "#beta [ e ] " - titleY = "N. of e" - xmin = 0.0 - xmax = 1.2 - - - stack = 0 - titleX = "#gamma [ e ] " - titleY = "N. of e" - xmin = 1.0 - xmax = 100.0 - - - stack = 0 - titleX = "p_{T} [ e_{1} ] (GeV/c) " - titleY = "Events " - xmin = 0.0 - xmax = 1000.0 - - - stack = 0 - titleX = "#eta [ e_{1} ] " - titleY = "Events " - xmin = -8.0 - xmax = 8.0 - - - stack = 0 - titleX = "#phi [ e_{1} ] " - titleY = "Events " - xmin = -3.2 - xmax = 3.2 - - - stack = 0 - titleX = "E [ e_{1} ] (GeV) " - titleY = "Events " - xmin = 0.0 - xmax = 2000.0 - - - stack = 0 - titleX = "M_{T} [ e_{1} ] (GeV/c^{2}) " - titleY = "Events " - xmin = 0.0 - xmax = 1000.0 - - - stack = 0 - 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titleX = "E [ mu_{1} ] (GeV) " - titleY = "Events " - xmin = 0.0 - xmax = 2000.0 - - - stack = 0 - titleX = "M_{T} [ mu_{1} ] (GeV/c^{2}) " - titleY = "Events " - xmin = 0.0 - xmax = 1000.0 - - - stack = 0 - titleX = "p_{T} [ mu_{2} ] (GeV/c) " - titleY = "Events " - xmin = 0.0 - xmax = 1000.0 - - - stack = 0 - titleX = "#eta [ mu_{2} ] " - titleY = "Events " - xmin = -8.0 - xmax = 8.0 - - - stack = 0 - titleX = "#phi [ mu_{2} ] " - titleY = "Events " - xmin = -3.2 - xmax = 3.2 - - - stack = 0 - titleX = "E [ mu_{2} ] (GeV) " - titleY = "Events " - xmin = 0.0 - xmax = 2000.0 - - - stack = 0 - titleX = "M_{T} [ mu_{2} ] (GeV/c^{2}) " - titleY = "Events " - xmin = 0.0 - xmax = 1000.0 - - - stack = 0 - titleX = "M [ mu_{1} mu_{2} ] (GeV/c^{2}) " - titleY = "Events " - xmin = 0.0 - xmax = 1000.0 - - - stack = 0 - titleX = "p_{T} [ mu_{1} mu_{2} ] (GeV/c) " - titleY = "Events " - xmin = 0.0 - xmax = 1500.0 - - - stack = 0 - titleX = "#DeltaR [ mu_{1}, mu_{2} ] " - titleY = "Events " - xmin 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"#Delta#Phi_{0,2#pi} [ b, b ] " - titleY = "N. of (b, b) pairs" - xmin = 0.0 - xmax = 6.4 - - - stack = 0 - titleX = "M [ b b ] (GeV/c^{2}) " - titleY = "N. of b b pairs " - xmin = 0.0 - xmax = 2000.0 - - - stack = 0 - titleX = "p_{T} [ b b ] (GeV/c) " - titleY = "N. of b b pairs " - xmin = 0.0 - xmax = 2000.0 - - - stack = 0 - titleX = "#DeltaR [ j, j ] " - titleY = "N. of (j, j) pairs" - xmin = 0.0 - xmax = 10.0 - - - stack = 0 - titleX = "#Delta#Phi_{0,#pi} [ j, j ] " - titleY = "N. of (j, j) pairs" - xmin = 0.0 - xmax = 3.2 - - - stack = 0 - titleX = "#Delta#Phi_{0,2#pi} [ j, j ] " - titleY = "N. of (j, j) pairs" - xmin = 0.0 - xmax = 6.4 - - - stack = 0 - titleX = "M [ j j ] (GeV/c^{2}) " - titleY = "N. of j j pairs " - xmin = 0.0 - xmax = 3000.0 - - - stack = 0 - titleX = "p_{T} [ j j ] (GeV/c) " - titleY = "N. of j j pairs " - xmin = 0.0 - xmax = 3000.0 - - - stack = 0 - titleX = "#DeltaR [ e, mu ] " - titleY = "N. of (e, mu) pairs" - xmin = 0.0 - xmax = 10.0 - - - stack = 0 - titleX = "#DeltaR [ e, j ] " - titleY = "N. of (e, j) pairs" - xmin = 0.0 - xmax = 10.0 - - - stack = 0 - titleX = "#DeltaR [ mu, j ] " - titleY = "N. of (mu, j) pairs" - xmin = 0.0 - xmax = 10.0 - - - stack = 0 - titleX = "#DeltaR [ b, j ] " - titleY = "N. of (b, j) pairs" - xmin = 0.0 - xmax = 10.0 - - - stack = 0 - titleX = "M [ e mu ] (GeV/c^{2}) " - titleY = "N. of e mu pairs " - xmin = 0.0 - xmax = 1000.0 - - - stack = 0 - titleX = "M [ e j ] (GeV/c^{2}) " - titleY = "N. of e j pairs " - xmin = 0.0 - xmax = 2000.0 - - - stack = 0 - titleX = "M [ j mu ] (GeV/c^{2}) " - titleY = "N. of j mu pairs " - xmin = 0.0 - xmax = 2000.0 - - - stack = 0 - titleX = "M [ b j ] (GeV/c^{2}) " - titleY = "N. of b j pairs " - xmin = 0.0 - xmax = 3000.0 - - - stack = 0 - titleX = "p_{T} [ e mu ] (GeV/c) " - titleY = "N. of e mu pairs " - xmin = 0.0 - xmax = 1500.0 - - - stack = 0 - titleX = "p_{T} [ b j ] (GeV/c) " - titleY = "N. of b j pairs " - xmin = 0.0 - xmax = 3000.0 - - - stack = 0 - titleX = "#DeltaR [ e_{1}, mu_{1} ] " - titleY = "Events " - xmin = 0.0 - xmax = 10.0 - - - stack = 0 - titleX = "#DeltaR [ e_{1}, j_{1} ] " - titleY = "Events " - xmin = 0.0 - xmax = 10.0 - - - stack = 0 - titleX = "#DeltaR [ mu_{1}, j_{1} ] " - titleY = "Events " - xmin = 0.0 - xmax = 10.0 - - - stack = 0 - titleX = "#DeltaR [ b_{1}, j_{1} ] " - titleY = "Events " - xmin = 0.0 - xmax = 10.0 - - - stack = 0 - titleX = "M [ e_{1} mu_{1} ] (GeV/c^{2}) " - titleY = "Events " - xmin = 0.0 - xmax = 1000.0 - - - stack = 0 - titleX = "M [ e_{1} j_{1} ] (GeV/c^{2}) " - titleY = "Events " - xmin = 0.0 - xmax = 2000.0 - - - stack = 0 - titleX = "M [ j_{1} mu_{1} ] (GeV/c^{2}) " - titleY = "Events " - xmin = 0.0 - xmax = 2000.0 - - - stack = 0 - titleX = "M [ b_{1} j_{1} ] (GeV/c^{2}) " - titleY = "Events " - xmin = 0.0 - xmax = 3000.0 - - - stack = 0 - titleX = "p_{T} [ e_{1} mu_{1} ] (GeV/c) " - titleY = "Events " - xmin = 0.0 - xmax = 1500.0 - - - stack = 0 - titleX = "p_{T} [ b_{1} j_{1} ] (GeV/c) " - titleY = "Events " - xmin = 0.0 - xmax = 3000.0 - - - -################################################################################ -# Definition of the multiparticles used # -################################################################################ - - - 22 - - - 5 - - - 1000005 - - - -1000005 - - - 2000005 - - - -2000005 - - - -5 - - - 4 - - - 1000004 - - - -1000004 - - - 2000004 - - - -2000004 - - - -4 - - - 1 - - - 1000001 - - - -1000001 - - - 2000001 - - - -2000001 - - - -1 - - - -11 11 - - - -11 - - - 11 - - - -1000011 - - - 1000011 - - - -2000011 - - - 2000011 - - - 21 - - - 1000021 - - - 37 - - - -37 - - - 25 - - - 35 - - - 36 - - - -5 -4 -3 -2 -1 1 2 3 4 5 21 - - - -16 -14 -12 12 14 16 1000022 - - - -4 -3 -2 -1 1 2 3 4 21 - - - -13 -11 - - - 11 13 - - - 100 - - - 99 - - - -13 13 - - - -13 - - - 13 - - - -1000013 - - - 1000013 - - - -2000013 - - - 2000013 - - - 1000022 - - - 1000023 - - - 1000025 - - - 1000035 - - - -4 -3 -2 -1 1 2 3 4 21 - - - 3 - - - 1000003 - - - -1000003 - - - 2000003 - - - -2000003 - - - 1000012 - - - -1000012 - - - 1000014 - - - -1000014 - - - 1000016 - - - -1000016 - - - -3 - - - 6 - - - 1000006 - - - -1000006 - - - 2000006 - - - -2000006 - - - -15 - - - 15 - - - -1000015 - - - 1000015 - - - -2000015 - - - 2000015 - - - -6 - - - 2 - - - 1000002 - - - -1000002 - - - 2000002 - - - -2000002 - - - -2 - - - 12 - - - -12 - - - 12 14 16 - - - -16 -14 -12 - - - 14 - - - -14 - - - 16 - - - -16 - - - 24 - - - -24 - - - 1000024 - - - -1000024 - - - 1000037 - - - -1000037 - - - 23 - - From bb47952882192051868baab62f7eb54ab8c78f18 Mon Sep 17 00:00:00 2001 From: BFuks Date: Thu, 2 Apr 2026 07:15:00 +0200 Subject: [PATCH 4/7] changing 2012-2025 to 2012-2026 --- madanalysis/IOinterface/delphescard_checker.py | 2 +- madanalysis/IOinterface/folder_writer.py | 2 +- madanalysis/IOinterface/histo_matplotlib_producer.py | 2 +- madanalysis/IOinterface/histo_root_producer.py | 2 +- madanalysis/IOinterface/html_report_writer.py | 2 +- madanalysis/IOinterface/html_style_writer.py | 2 +- madanalysis/IOinterface/job_reader.py | 2 +- madanalysis/IOinterface/job_writer.py | 2 +- madanalysis/IOinterface/latex_report_writer.py | 2 +- madanalysis/IOinterface/layout_writer.py | 2 +- madanalysis/IOinterface/library_writer.py | 2 +- madanalysis/IOinterface/madgraph_interface.py | 2 +- madanalysis/IOinterface/multiparticle_reader.py | 2 +- madanalysis/IOinterface/particle_reader.py | 2 +- madanalysis/IOinterface/png_reader.py | 2 +- madanalysis/IOinterface/saf_block_status.py | 2 +- madanalysis/IOinterface/text_file_reader.py | 2 +- madanalysis/IOinterface/text_file_writer.py | 2 +- madanalysis/IOinterface/text_report.py | 2 +- madanalysis/IOinterface/ufo_reader.py | 2 +- madanalysis/build/makefile_writer.py | 2 +- madanalysis/build/setup_writer.py | 2 +- madanalysis/configuration/beauty_identification.py | 2 +- madanalysis/configuration/clustering_antikt.py | 2 +- madanalysis/configuration/clustering_cambridge.py | 2 +- madanalysis/configuration/clustering_cdfjetclu.py | 2 +- madanalysis/configuration/clustering_cdfmidpoint.py | 2 +- madanalysis/configuration/clustering_configuration.py | 2 +- madanalysis/configuration/clustering_genkt.py | 2 +- madanalysis/configuration/clustering_gridjet.py | 2 +- madanalysis/configuration/clustering_kt.py | 2 +- madanalysis/configuration/clustering_siscone.py | 2 +- madanalysis/configuration/delphesMA5tune_configuration.py | 2 +- madanalysis/configuration/delphes_configuration.py | 2 +- madanalysis/configuration/fastsim_configuration.py | 2 +- madanalysis/configuration/fom_configuration.py | 2 +- madanalysis/configuration/isolation_cone.py | 2 +- madanalysis/configuration/isolation_configuration.py | 2 +- madanalysis/configuration/isolation_sumpt.py | 2 +- madanalysis/configuration/merging_configuration.py | 2 +- madanalysis/configuration/recast_configuration.py | 2 +- madanalysis/configuration/tau_identification.py | 2 +- madanalysis/core/expert_mode.py | 2 +- madanalysis/core/launcher.py | 2 +- madanalysis/core/library_builder.py | 2 +- madanalysis/core/main.py | 2 +- madanalysis/core/script_stack.py | 2 +- madanalysis/dataset/dataset.py | 2 +- madanalysis/dataset/dataset_collection.py | 2 +- madanalysis/dataset/sample_info.py | 2 +- madanalysis/enumeration/argument_type.py | 2 +- madanalysis/enumeration/backstyle_type.py | 2 +- madanalysis/enumeration/color_hex.py | 2 +- madanalysis/enumeration/color_type.py | 2 +- madanalysis/enumeration/combination_type.py | 2 +- madanalysis/enumeration/connector_type.py | 2 +- madanalysis/enumeration/cut_type.py | 2 +- madanalysis/enumeration/detect_status_type.py | 2 +- madanalysis/enumeration/font_type.py | 2 +- madanalysis/enumeration/graphic_render_type.py | 2 +- madanalysis/enumeration/linestyle_type.py | 2 +- madanalysis/enumeration/ma5_running_type.py | 2 +- madanalysis/enumeration/normalize_type.py | 2 +- madanalysis/enumeration/observable_type.py | 2 +- madanalysis/enumeration/operator_type.py | 2 +- madanalysis/enumeration/report_format_type.py | 2 +- madanalysis/enumeration/sb_ratio_type.py | 2 +- madanalysis/enumeration/script_type.py | 2 +- madanalysis/enumeration/special_particle.py | 2 +- madanalysis/enumeration/stacking_method_type.py | 2 +- madanalysis/enumeration/uncertainty_type.py | 2 +- madanalysis/fastsim/ast.py | 2 +- madanalysis/fastsim/ast_leaf.py | 2 +- madanalysis/fastsim/fastsim.py | 2 +- madanalysis/fastsim/recoefficiency.py | 2 +- madanalysis/fastsim/scaling.py | 2 +- madanalysis/fastsim/smearer.py | 2 +- madanalysis/fastsim/tagger.py | 2 +- madanalysis/install/detector_manager.py | 2 +- madanalysis/install/install_delphes.py | 2 +- madanalysis/install/install_fastjet.py | 2 +- madanalysis/install/install_fastjetcontrib.py | 2 +- madanalysis/install/install_gnuplot.py | 2 +- madanalysis/install/install_manager.py | 2 +- madanalysis/install/install_matplotlib.py | 2 +- madanalysis/install/install_numpy.py | 2 +- madanalysis/install/install_pad.py | 2 +- madanalysis/install/install_pyhf.py | 2 +- madanalysis/install/install_root.py | 2 +- madanalysis/install/install_samples.py | 2 +- madanalysis/install/install_service.py | 2 +- madanalysis/install/install_simplify.py | 2 +- madanalysis/install/install_zlib.py | 2 +- madanalysis/interpreter/cmd_base.py | 2 +- madanalysis/interpreter/cmd_cut.py | 2 +- madanalysis/interpreter/cmd_define.py | 2 +- madanalysis/interpreter/cmd_define_region.py | 2 +- madanalysis/interpreter/cmd_display.py | 2 +- madanalysis/interpreter/cmd_display_datasets.py | 2 +- madanalysis/interpreter/cmd_display_multiparticles.py | 2 +- madanalysis/interpreter/cmd_display_particles.py | 2 +- madanalysis/interpreter/cmd_display_regions.py | 2 +- madanalysis/interpreter/cmd_import.py | 2 +- madanalysis/interpreter/cmd_install.py | 2 +- madanalysis/interpreter/cmd_open.py | 2 +- madanalysis/interpreter/cmd_plot.py | 2 +- madanalysis/interpreter/cmd_remove.py | 2 +- madanalysis/interpreter/cmd_reset.py | 2 +- madanalysis/interpreter/cmd_selection_base.py | 2 +- madanalysis/interpreter/cmd_set.py | 2 +- madanalysis/interpreter/cmd_submit.py | 2 +- madanalysis/interpreter/cmd_swap.py | 2 +- madanalysis/interpreter/history.py | 2 +- madanalysis/interpreter/interpreter.py | 2 +- madanalysis/interpreter/interpreter_base.py | 2 +- madanalysis/interpreter/ma5_interpreter.py | 2 +- madanalysis/interpreter/timer.py | 2 +- madanalysis/job/job_candidate_cut.py | 2 +- madanalysis/job/job_event_cut.py | 2 +- madanalysis/job/job_execute.py | 2 +- madanalysis/job/job_finalize.py | 2 +- madanalysis/job/job_header.py | 2 +- madanalysis/job/job_initialize.py | 2 +- madanalysis/job/job_main.py | 2 +- madanalysis/job/job_particle.py | 2 +- madanalysis/job/job_plot.py | 2 +- madanalysis/job/job_smearer_reco_header.py | 2 +- madanalysis/job/job_smearer_reco_main.py | 2 +- madanalysis/job/job_tagger_header.py | 2 +- madanalysis/job/job_tagger_main.py | 2 +- madanalysis/layout/cut_info.py | 2 +- madanalysis/layout/cutflow.py | 2 +- madanalysis/layout/cutflow_for_dataset.py | 2 +- madanalysis/layout/fom_calculation.py | 2 +- madanalysis/layout/histogram.py | 2 +- madanalysis/layout/histogram_core.py | 2 +- madanalysis/layout/histogram_frequency.py | 2 +- madanalysis/layout/histogram_frequency_core.py | 2 +- madanalysis/layout/histogram_logx.py | 2 +- madanalysis/layout/layout.py | 2 +- madanalysis/layout/measure.py | 2 +- madanalysis/layout/merging_plots.py | 2 +- madanalysis/layout/merging_plots_for_dataset.py | 2 +- madanalysis/layout/plotflow.py | 2 +- madanalysis/layout/plotflow_for_dataset.py | 2 +- madanalysis/misc/freeze_environment.py | 2 +- madanalysis/misc/histfactory_reader.py | 2 +- madanalysis/misc/run_recast.py | 2 +- madanalysis/multiparticle/extraparticle.py | 2 +- madanalysis/multiparticle/multiparticle.py | 2 +- madanalysis/multiparticle/multiparticle_collection.py | 2 +- madanalysis/multiparticle/particle_combination.py | 2 +- madanalysis/multiparticle/particle_object.py | 2 +- madanalysis/observable/observable_base.py | 2 +- madanalysis/observable/observable_list.py | 2 +- madanalysis/observable/observable_manager.py | 2 +- madanalysis/region/region.py | 2 +- madanalysis/region/region_collection.py | 2 +- madanalysis/selection/condition_connector.py | 2 +- madanalysis/selection/condition_sequence.py | 2 +- madanalysis/selection/condition_type.py | 2 +- madanalysis/selection/cut.py | 2 +- madanalysis/selection/histogram.py | 2 +- madanalysis/selection/instance_name.py | 2 +- madanalysis/selection/selection.py | 2 +- madanalysis/system/architecture_info.py | 2 +- madanalysis/system/checkup.py | 2 +- madanalysis/system/config_checker.py | 2 +- madanalysis/system/detect_dvipdf.py | 2 +- madanalysis/system/detect_fastjet.py | 2 +- madanalysis/system/detect_gnuplot.py | 2 +- madanalysis/system/detect_gpp.py | 2 +- madanalysis/system/detect_latex.py | 2 +- madanalysis/system/detect_make.py | 2 +- madanalysis/system/detect_manager.py | 2 +- madanalysis/system/detect_matplotlib.py | 2 +- madanalysis/system/detect_pad.py | 2 +- madanalysis/system/detect_pdflatex.py | 2 +- madanalysis/system/detect_pyhf.py | 2 +- madanalysis/system/detect_python.py | 2 +- madanalysis/system/detect_root.py | 2 +- madanalysis/system/detect_root_graphical.py | 2 +- madanalysis/system/detect_scipy.py | 2 +- madanalysis/system/detect_simplify.py | 2 +- madanalysis/system/detect_spey.py | 2 +- madanalysis/system/detect_zlib.py | 2 +- madanalysis/system/session_info.py | 2 +- madanalysis/system/user_info.py | 2 +- 188 files changed, 188 insertions(+), 188 deletions(-) diff --git a/madanalysis/IOinterface/delphescard_checker.py b/madanalysis/IOinterface/delphescard_checker.py index b1092801..999b107d 100644 --- a/madanalysis/IOinterface/delphescard_checker.py +++ b/madanalysis/IOinterface/delphescard_checker.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/folder_writer.py b/madanalysis/IOinterface/folder_writer.py index c0b9a264..dcb71ef4 100644 --- a/madanalysis/IOinterface/folder_writer.py +++ b/madanalysis/IOinterface/folder_writer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/histo_matplotlib_producer.py b/madanalysis/IOinterface/histo_matplotlib_producer.py index c1859612..ba074d53 100644 --- a/madanalysis/IOinterface/histo_matplotlib_producer.py +++ b/madanalysis/IOinterface/histo_matplotlib_producer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/histo_root_producer.py b/madanalysis/IOinterface/histo_root_producer.py index 5720a4c0..3abf865d 100644 --- a/madanalysis/IOinterface/histo_root_producer.py +++ b/madanalysis/IOinterface/histo_root_producer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/html_report_writer.py b/madanalysis/IOinterface/html_report_writer.py index 36271752..8cadbd99 100644 --- a/madanalysis/IOinterface/html_report_writer.py +++ b/madanalysis/IOinterface/html_report_writer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/html_style_writer.py b/madanalysis/IOinterface/html_style_writer.py index b3086dbf..a9839954 100644 --- a/madanalysis/IOinterface/html_style_writer.py +++ b/madanalysis/IOinterface/html_style_writer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/job_reader.py b/madanalysis/IOinterface/job_reader.py index fa40da36..959a1028 100644 --- a/madanalysis/IOinterface/job_reader.py +++ b/madanalysis/IOinterface/job_reader.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/job_writer.py b/madanalysis/IOinterface/job_writer.py index 7e8642e6..0ea08f5f 100644 --- a/madanalysis/IOinterface/job_writer.py +++ b/madanalysis/IOinterface/job_writer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/latex_report_writer.py b/madanalysis/IOinterface/latex_report_writer.py index 5d30c609..b0e4db3f 100644 --- a/madanalysis/IOinterface/latex_report_writer.py +++ b/madanalysis/IOinterface/latex_report_writer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/layout_writer.py b/madanalysis/IOinterface/layout_writer.py index c19bb322..106180ba 100644 --- a/madanalysis/IOinterface/layout_writer.py +++ b/madanalysis/IOinterface/layout_writer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/library_writer.py b/madanalysis/IOinterface/library_writer.py index 0b6a27c1..ed08312b 100644 --- a/madanalysis/IOinterface/library_writer.py +++ b/madanalysis/IOinterface/library_writer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/madgraph_interface.py b/madanalysis/IOinterface/madgraph_interface.py index d87b96fd..3803c1cc 100644 --- a/madanalysis/IOinterface/madgraph_interface.py +++ b/madanalysis/IOinterface/madgraph_interface.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/multiparticle_reader.py b/madanalysis/IOinterface/multiparticle_reader.py index 54e667f5..846878eb 100644 --- a/madanalysis/IOinterface/multiparticle_reader.py +++ b/madanalysis/IOinterface/multiparticle_reader.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/particle_reader.py b/madanalysis/IOinterface/particle_reader.py index bdfdbea6..2ec63130 100644 --- a/madanalysis/IOinterface/particle_reader.py +++ b/madanalysis/IOinterface/particle_reader.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/png_reader.py b/madanalysis/IOinterface/png_reader.py index deaa89ef..ba86d0e4 100644 --- a/madanalysis/IOinterface/png_reader.py +++ b/madanalysis/IOinterface/png_reader.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/saf_block_status.py b/madanalysis/IOinterface/saf_block_status.py index b6a07730..7c4e1476 100644 --- a/madanalysis/IOinterface/saf_block_status.py +++ b/madanalysis/IOinterface/saf_block_status.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/text_file_reader.py b/madanalysis/IOinterface/text_file_reader.py index db381f6a..918359ee 100644 --- a/madanalysis/IOinterface/text_file_reader.py +++ b/madanalysis/IOinterface/text_file_reader.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/text_file_writer.py b/madanalysis/IOinterface/text_file_writer.py index bc8d4d83..3374ce1f 100644 --- a/madanalysis/IOinterface/text_file_writer.py +++ b/madanalysis/IOinterface/text_file_writer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/text_report.py b/madanalysis/IOinterface/text_report.py index 5a91e622..710c2709 100644 --- a/madanalysis/IOinterface/text_report.py +++ b/madanalysis/IOinterface/text_report.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/IOinterface/ufo_reader.py b/madanalysis/IOinterface/ufo_reader.py index 8bdde415..596090bb 100644 --- a/madanalysis/IOinterface/ufo_reader.py +++ b/madanalysis/IOinterface/ufo_reader.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/build/makefile_writer.py b/madanalysis/build/makefile_writer.py index c7a822b6..d26169ba 100644 --- a/madanalysis/build/makefile_writer.py +++ b/madanalysis/build/makefile_writer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/build/setup_writer.py b/madanalysis/build/setup_writer.py index cf206fb9..db8e937f 100644 --- a/madanalysis/build/setup_writer.py +++ b/madanalysis/build/setup_writer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/beauty_identification.py b/madanalysis/configuration/beauty_identification.py index a13f440e..b71c2b4e 100644 --- a/madanalysis/configuration/beauty_identification.py +++ b/madanalysis/configuration/beauty_identification.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/clustering_antikt.py b/madanalysis/configuration/clustering_antikt.py index e27397f0..7bf3a76c 100644 --- a/madanalysis/configuration/clustering_antikt.py +++ b/madanalysis/configuration/clustering_antikt.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/clustering_cambridge.py b/madanalysis/configuration/clustering_cambridge.py index 8c9a4ef3..30cc0a48 100644 --- a/madanalysis/configuration/clustering_cambridge.py +++ b/madanalysis/configuration/clustering_cambridge.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/clustering_cdfjetclu.py b/madanalysis/configuration/clustering_cdfjetclu.py index 16676834..cbebea44 100644 --- a/madanalysis/configuration/clustering_cdfjetclu.py +++ b/madanalysis/configuration/clustering_cdfjetclu.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/clustering_cdfmidpoint.py b/madanalysis/configuration/clustering_cdfmidpoint.py index c0c67c03..9bc64da7 100644 --- a/madanalysis/configuration/clustering_cdfmidpoint.py +++ b/madanalysis/configuration/clustering_cdfmidpoint.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/clustering_configuration.py b/madanalysis/configuration/clustering_configuration.py index 71ea99d0..860212c7 100644 --- a/madanalysis/configuration/clustering_configuration.py +++ b/madanalysis/configuration/clustering_configuration.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/clustering_genkt.py b/madanalysis/configuration/clustering_genkt.py index 07d51fb5..f2f03d16 100644 --- a/madanalysis/configuration/clustering_genkt.py +++ b/madanalysis/configuration/clustering_genkt.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/clustering_gridjet.py b/madanalysis/configuration/clustering_gridjet.py index ca8135a5..e7192d76 100644 --- a/madanalysis/configuration/clustering_gridjet.py +++ b/madanalysis/configuration/clustering_gridjet.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/clustering_kt.py b/madanalysis/configuration/clustering_kt.py index 347bc204..cde0dbe4 100644 --- a/madanalysis/configuration/clustering_kt.py +++ b/madanalysis/configuration/clustering_kt.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/clustering_siscone.py b/madanalysis/configuration/clustering_siscone.py index 3353a9e0..fd3b0117 100644 --- a/madanalysis/configuration/clustering_siscone.py +++ b/madanalysis/configuration/clustering_siscone.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/delphesMA5tune_configuration.py b/madanalysis/configuration/delphesMA5tune_configuration.py index 3cab80f1..07b81c33 100644 --- a/madanalysis/configuration/delphesMA5tune_configuration.py +++ b/madanalysis/configuration/delphesMA5tune_configuration.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/delphes_configuration.py b/madanalysis/configuration/delphes_configuration.py index 16670e17..02bc219c 100644 --- a/madanalysis/configuration/delphes_configuration.py +++ b/madanalysis/configuration/delphes_configuration.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/fastsim_configuration.py b/madanalysis/configuration/fastsim_configuration.py index 1996bb40..3e1e578a 100644 --- a/madanalysis/configuration/fastsim_configuration.py +++ b/madanalysis/configuration/fastsim_configuration.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/fom_configuration.py b/madanalysis/configuration/fom_configuration.py index 7f286d4a..cdae45dd 100644 --- a/madanalysis/configuration/fom_configuration.py +++ b/madanalysis/configuration/fom_configuration.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/isolation_cone.py b/madanalysis/configuration/isolation_cone.py index 07db2b55..31152f15 100644 --- a/madanalysis/configuration/isolation_cone.py +++ b/madanalysis/configuration/isolation_cone.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/isolation_configuration.py b/madanalysis/configuration/isolation_configuration.py index 664c9b8e..f84f2c6f 100644 --- a/madanalysis/configuration/isolation_configuration.py +++ b/madanalysis/configuration/isolation_configuration.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/isolation_sumpt.py b/madanalysis/configuration/isolation_sumpt.py index 4c311bfe..38b66bd0 100644 --- a/madanalysis/configuration/isolation_sumpt.py +++ b/madanalysis/configuration/isolation_sumpt.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/merging_configuration.py b/madanalysis/configuration/merging_configuration.py index 6058330f..1d074ab4 100644 --- a/madanalysis/configuration/merging_configuration.py +++ b/madanalysis/configuration/merging_configuration.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/recast_configuration.py b/madanalysis/configuration/recast_configuration.py index fa875a6f..d2b17aaf 100644 --- a/madanalysis/configuration/recast_configuration.py +++ b/madanalysis/configuration/recast_configuration.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/configuration/tau_identification.py b/madanalysis/configuration/tau_identification.py index 37268611..00a64761 100644 --- a/madanalysis/configuration/tau_identification.py +++ b/madanalysis/configuration/tau_identification.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/core/expert_mode.py b/madanalysis/core/expert_mode.py index 2e546411..179f9892 100644 --- a/madanalysis/core/expert_mode.py +++ b/madanalysis/core/expert_mode.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/core/launcher.py b/madanalysis/core/launcher.py index 33d500b3..b6a79713 100644 --- a/madanalysis/core/launcher.py +++ b/madanalysis/core/launcher.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/core/library_builder.py b/madanalysis/core/library_builder.py index 31142cd1..33ca4028 100644 --- a/madanalysis/core/library_builder.py +++ b/madanalysis/core/library_builder.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/core/main.py b/madanalysis/core/main.py index 9098a7a0..f3b4948b 100644 --- a/madanalysis/core/main.py +++ b/madanalysis/core/main.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/core/script_stack.py b/madanalysis/core/script_stack.py index 9eb609a9..3d125559 100644 --- a/madanalysis/core/script_stack.py +++ b/madanalysis/core/script_stack.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/dataset/dataset.py b/madanalysis/dataset/dataset.py index 573bd290..9f32d4ce 100644 --- a/madanalysis/dataset/dataset.py +++ b/madanalysis/dataset/dataset.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/dataset/dataset_collection.py b/madanalysis/dataset/dataset_collection.py index 8deaf1ba..7c0fcd82 100644 --- a/madanalysis/dataset/dataset_collection.py +++ b/madanalysis/dataset/dataset_collection.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/dataset/sample_info.py b/madanalysis/dataset/sample_info.py index b8ac4782..0e493f7a 100644 --- a/madanalysis/dataset/sample_info.py +++ b/madanalysis/dataset/sample_info.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/argument_type.py b/madanalysis/enumeration/argument_type.py index 24b6fd0b..a23388e1 100644 --- a/madanalysis/enumeration/argument_type.py +++ b/madanalysis/enumeration/argument_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/backstyle_type.py b/madanalysis/enumeration/backstyle_type.py index 49c77048..12092382 100644 --- a/madanalysis/enumeration/backstyle_type.py +++ b/madanalysis/enumeration/backstyle_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/color_hex.py b/madanalysis/enumeration/color_hex.py index 89daffae..35c08739 100644 --- a/madanalysis/enumeration/color_hex.py +++ b/madanalysis/enumeration/color_hex.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/color_type.py b/madanalysis/enumeration/color_type.py index a140f21b..f781a592 100644 --- a/madanalysis/enumeration/color_type.py +++ b/madanalysis/enumeration/color_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/combination_type.py b/madanalysis/enumeration/combination_type.py index dbbef6aa..f038ecd4 100644 --- a/madanalysis/enumeration/combination_type.py +++ b/madanalysis/enumeration/combination_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/connector_type.py b/madanalysis/enumeration/connector_type.py index b4958eb5..6f458bb7 100644 --- a/madanalysis/enumeration/connector_type.py +++ b/madanalysis/enumeration/connector_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/cut_type.py b/madanalysis/enumeration/cut_type.py index dae5b9db..19e43a28 100644 --- a/madanalysis/enumeration/cut_type.py +++ b/madanalysis/enumeration/cut_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/detect_status_type.py b/madanalysis/enumeration/detect_status_type.py index 66683c20..f31cc2f7 100644 --- a/madanalysis/enumeration/detect_status_type.py +++ b/madanalysis/enumeration/detect_status_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/font_type.py b/madanalysis/enumeration/font_type.py index 09690783..a4dd10ba 100644 --- a/madanalysis/enumeration/font_type.py +++ b/madanalysis/enumeration/font_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/graphic_render_type.py b/madanalysis/enumeration/graphic_render_type.py index 8ec6838f..9476a9cc 100644 --- a/madanalysis/enumeration/graphic_render_type.py +++ b/madanalysis/enumeration/graphic_render_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/linestyle_type.py b/madanalysis/enumeration/linestyle_type.py index 7eec61fa..a577c6a9 100644 --- a/madanalysis/enumeration/linestyle_type.py +++ b/madanalysis/enumeration/linestyle_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/ma5_running_type.py b/madanalysis/enumeration/ma5_running_type.py index 81b7961a..36c45a0b 100644 --- a/madanalysis/enumeration/ma5_running_type.py +++ b/madanalysis/enumeration/ma5_running_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/normalize_type.py b/madanalysis/enumeration/normalize_type.py index 0dbdab33..f8d9f491 100644 --- a/madanalysis/enumeration/normalize_type.py +++ b/madanalysis/enumeration/normalize_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/observable_type.py b/madanalysis/enumeration/observable_type.py index 8b1d387f..71adfeb6 100644 --- a/madanalysis/enumeration/observable_type.py +++ b/madanalysis/enumeration/observable_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/operator_type.py b/madanalysis/enumeration/operator_type.py index 7683ec8f..fc5e09cd 100644 --- a/madanalysis/enumeration/operator_type.py +++ b/madanalysis/enumeration/operator_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/report_format_type.py b/madanalysis/enumeration/report_format_type.py index 26e40643..60ddc62b 100644 --- a/madanalysis/enumeration/report_format_type.py +++ b/madanalysis/enumeration/report_format_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/sb_ratio_type.py b/madanalysis/enumeration/sb_ratio_type.py index 54a17988..22dc8091 100644 --- a/madanalysis/enumeration/sb_ratio_type.py +++ b/madanalysis/enumeration/sb_ratio_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/script_type.py b/madanalysis/enumeration/script_type.py index 316fa452..10d30d93 100644 --- a/madanalysis/enumeration/script_type.py +++ b/madanalysis/enumeration/script_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/special_particle.py b/madanalysis/enumeration/special_particle.py index 4310bf9e..7d80a57b 100644 --- a/madanalysis/enumeration/special_particle.py +++ b/madanalysis/enumeration/special_particle.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/stacking_method_type.py b/madanalysis/enumeration/stacking_method_type.py index baae11d1..2cd9a11f 100644 --- a/madanalysis/enumeration/stacking_method_type.py +++ b/madanalysis/enumeration/stacking_method_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/enumeration/uncertainty_type.py b/madanalysis/enumeration/uncertainty_type.py index e595361f..b2c0f999 100644 --- a/madanalysis/enumeration/uncertainty_type.py +++ b/madanalysis/enumeration/uncertainty_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/fastsim/ast.py b/madanalysis/fastsim/ast.py index b08892b9..35985687 100644 --- a/madanalysis/fastsim/ast.py +++ b/madanalysis/fastsim/ast.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/fastsim/ast_leaf.py b/madanalysis/fastsim/ast_leaf.py index 41a026fd..7ffe3644 100644 --- a/madanalysis/fastsim/ast_leaf.py +++ b/madanalysis/fastsim/ast_leaf.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/fastsim/fastsim.py b/madanalysis/fastsim/fastsim.py index 6b0624c8..d7ea4959 100644 --- a/madanalysis/fastsim/fastsim.py +++ b/madanalysis/fastsim/fastsim.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/fastsim/recoefficiency.py b/madanalysis/fastsim/recoefficiency.py index 4efd2e51..f4367b5d 100644 --- a/madanalysis/fastsim/recoefficiency.py +++ b/madanalysis/fastsim/recoefficiency.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/fastsim/scaling.py b/madanalysis/fastsim/scaling.py index af225579..09df126a 100644 --- a/madanalysis/fastsim/scaling.py +++ b/madanalysis/fastsim/scaling.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/fastsim/smearer.py b/madanalysis/fastsim/smearer.py index 7ca9ed3f..7241a052 100644 --- a/madanalysis/fastsim/smearer.py +++ b/madanalysis/fastsim/smearer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/fastsim/tagger.py b/madanalysis/fastsim/tagger.py index d5be12c2..72e8f65d 100644 --- a/madanalysis/fastsim/tagger.py +++ b/madanalysis/fastsim/tagger.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/detector_manager.py b/madanalysis/install/detector_manager.py index 50279530..2b175e9c 100644 --- a/madanalysis/install/detector_manager.py +++ b/madanalysis/install/detector_manager.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_delphes.py b/madanalysis/install/install_delphes.py index e54be120..07cccd45 100644 --- a/madanalysis/install/install_delphes.py +++ b/madanalysis/install/install_delphes.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_fastjet.py b/madanalysis/install/install_fastjet.py index baf9e4da..41cdbdf2 100644 --- a/madanalysis/install/install_fastjet.py +++ b/madanalysis/install/install_fastjet.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_fastjetcontrib.py b/madanalysis/install/install_fastjetcontrib.py index 9a5a88c7..c6b6099f 100644 --- a/madanalysis/install/install_fastjetcontrib.py +++ b/madanalysis/install/install_fastjetcontrib.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_gnuplot.py b/madanalysis/install/install_gnuplot.py index 1f68add7..957b5bfa 100644 --- a/madanalysis/install/install_gnuplot.py +++ b/madanalysis/install/install_gnuplot.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_manager.py b/madanalysis/install/install_manager.py index 3b2d4929..b7fac6aa 100644 --- a/madanalysis/install/install_manager.py +++ b/madanalysis/install/install_manager.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_matplotlib.py b/madanalysis/install/install_matplotlib.py index 534cf430..20046340 100644 --- a/madanalysis/install/install_matplotlib.py +++ b/madanalysis/install/install_matplotlib.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_numpy.py b/madanalysis/install/install_numpy.py index bc65bad7..9bd5e70a 100644 --- a/madanalysis/install/install_numpy.py +++ b/madanalysis/install/install_numpy.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_pad.py b/madanalysis/install/install_pad.py index 28bf0dd5..8808d129 100644 --- a/madanalysis/install/install_pad.py +++ b/madanalysis/install/install_pad.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_pyhf.py b/madanalysis/install/install_pyhf.py index 771db5ca..e38ddce5 100644 --- a/madanalysis/install/install_pyhf.py +++ b/madanalysis/install/install_pyhf.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_root.py b/madanalysis/install/install_root.py index 758fa16a..24d56470 100644 --- a/madanalysis/install/install_root.py +++ b/madanalysis/install/install_root.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_samples.py b/madanalysis/install/install_samples.py index df30ef69..4f9487c5 100644 --- a/madanalysis/install/install_samples.py +++ b/madanalysis/install/install_samples.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_service.py b/madanalysis/install/install_service.py index a81531cf..735b5a4b 100644 --- a/madanalysis/install/install_service.py +++ b/madanalysis/install/install_service.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_simplify.py b/madanalysis/install/install_simplify.py index 139e2b3d..deaa1ce9 100644 --- a/madanalysis/install/install_simplify.py +++ b/madanalysis/install/install_simplify.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/install/install_zlib.py b/madanalysis/install/install_zlib.py index 24f3a32a..0470565e 100644 --- a/madanalysis/install/install_zlib.py +++ b/madanalysis/install/install_zlib.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_base.py b/madanalysis/interpreter/cmd_base.py index 4da96229..b409e339 100644 --- a/madanalysis/interpreter/cmd_base.py +++ b/madanalysis/interpreter/cmd_base.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_cut.py b/madanalysis/interpreter/cmd_cut.py index 53f9afe7..8f02636b 100644 --- a/madanalysis/interpreter/cmd_cut.py +++ b/madanalysis/interpreter/cmd_cut.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_define.py b/madanalysis/interpreter/cmd_define.py index eaaad446..afdadcad 100644 --- a/madanalysis/interpreter/cmd_define.py +++ b/madanalysis/interpreter/cmd_define.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_define_region.py b/madanalysis/interpreter/cmd_define_region.py index a0f0b54d..e375aff9 100644 --- a/madanalysis/interpreter/cmd_define_region.py +++ b/madanalysis/interpreter/cmd_define_region.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_display.py b/madanalysis/interpreter/cmd_display.py index b2558e8c..354984f1 100644 --- a/madanalysis/interpreter/cmd_display.py +++ b/madanalysis/interpreter/cmd_display.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_display_datasets.py b/madanalysis/interpreter/cmd_display_datasets.py index 4ce95479..7c230c57 100644 --- a/madanalysis/interpreter/cmd_display_datasets.py +++ b/madanalysis/interpreter/cmd_display_datasets.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_display_multiparticles.py b/madanalysis/interpreter/cmd_display_multiparticles.py index 70f53bfc..d9b6c973 100644 --- a/madanalysis/interpreter/cmd_display_multiparticles.py +++ b/madanalysis/interpreter/cmd_display_multiparticles.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_display_particles.py b/madanalysis/interpreter/cmd_display_particles.py index f18e2248..e6244503 100644 --- a/madanalysis/interpreter/cmd_display_particles.py +++ b/madanalysis/interpreter/cmd_display_particles.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_display_regions.py b/madanalysis/interpreter/cmd_display_regions.py index 515cb16d..d843c475 100644 --- a/madanalysis/interpreter/cmd_display_regions.py +++ b/madanalysis/interpreter/cmd_display_regions.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_import.py b/madanalysis/interpreter/cmd_import.py index c33c3629..828137fd 100644 --- a/madanalysis/interpreter/cmd_import.py +++ b/madanalysis/interpreter/cmd_import.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_install.py b/madanalysis/interpreter/cmd_install.py index 9ef2d7af..01d9fc12 100644 --- a/madanalysis/interpreter/cmd_install.py +++ b/madanalysis/interpreter/cmd_install.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_open.py b/madanalysis/interpreter/cmd_open.py index 33de8a63..41fd58c7 100644 --- a/madanalysis/interpreter/cmd_open.py +++ b/madanalysis/interpreter/cmd_open.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_plot.py b/madanalysis/interpreter/cmd_plot.py index 002a4a88..d6d32394 100644 --- a/madanalysis/interpreter/cmd_plot.py +++ b/madanalysis/interpreter/cmd_plot.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_remove.py b/madanalysis/interpreter/cmd_remove.py index 90f9e6df..d9c38d0b 100644 --- a/madanalysis/interpreter/cmd_remove.py +++ b/madanalysis/interpreter/cmd_remove.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_reset.py b/madanalysis/interpreter/cmd_reset.py index 284ca369..ec5c1bba 100644 --- a/madanalysis/interpreter/cmd_reset.py +++ b/madanalysis/interpreter/cmd_reset.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_selection_base.py b/madanalysis/interpreter/cmd_selection_base.py index 90996346..520c5742 100644 --- a/madanalysis/interpreter/cmd_selection_base.py +++ b/madanalysis/interpreter/cmd_selection_base.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_set.py b/madanalysis/interpreter/cmd_set.py index a3404966..fb649259 100644 --- a/madanalysis/interpreter/cmd_set.py +++ b/madanalysis/interpreter/cmd_set.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_submit.py b/madanalysis/interpreter/cmd_submit.py index ee347ff5..41b5b64a 100644 --- a/madanalysis/interpreter/cmd_submit.py +++ b/madanalysis/interpreter/cmd_submit.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/cmd_swap.py b/madanalysis/interpreter/cmd_swap.py index f27bdb27..498cbe92 100644 --- a/madanalysis/interpreter/cmd_swap.py +++ b/madanalysis/interpreter/cmd_swap.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/history.py b/madanalysis/interpreter/history.py index 833f84d4..29999325 100644 --- a/madanalysis/interpreter/history.py +++ b/madanalysis/interpreter/history.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/interpreter.py b/madanalysis/interpreter/interpreter.py index 1e1be060..600c4c47 100644 --- a/madanalysis/interpreter/interpreter.py +++ b/madanalysis/interpreter/interpreter.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/interpreter_base.py b/madanalysis/interpreter/interpreter_base.py index 3aaa515b..73371bde 100644 --- a/madanalysis/interpreter/interpreter_base.py +++ b/madanalysis/interpreter/interpreter_base.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/ma5_interpreter.py b/madanalysis/interpreter/ma5_interpreter.py index 23b719cd..27b3ffe9 100644 --- a/madanalysis/interpreter/ma5_interpreter.py +++ b/madanalysis/interpreter/ma5_interpreter.py @@ -2,7 +2,7 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/interpreter/timer.py b/madanalysis/interpreter/timer.py index d3d5af7c..89e337ed 100644 --- a/madanalysis/interpreter/timer.py +++ b/madanalysis/interpreter/timer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_candidate_cut.py b/madanalysis/job/job_candidate_cut.py index 597c2c5d..b4fcd747 100644 --- a/madanalysis/job/job_candidate_cut.py +++ b/madanalysis/job/job_candidate_cut.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_event_cut.py b/madanalysis/job/job_event_cut.py index d7644412..2c531d90 100644 --- a/madanalysis/job/job_event_cut.py +++ b/madanalysis/job/job_event_cut.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_execute.py b/madanalysis/job/job_execute.py index 3bedec74..a13545a0 100644 --- a/madanalysis/job/job_execute.py +++ b/madanalysis/job/job_execute.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_finalize.py b/madanalysis/job/job_finalize.py index 408e2577..3647ead3 100644 --- a/madanalysis/job/job_finalize.py +++ b/madanalysis/job/job_finalize.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_header.py b/madanalysis/job/job_header.py index fedcbabf..a7a99917 100644 --- a/madanalysis/job/job_header.py +++ b/madanalysis/job/job_header.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_initialize.py b/madanalysis/job/job_initialize.py index 3758ae70..e2e4f217 100644 --- a/madanalysis/job/job_initialize.py +++ b/madanalysis/job/job_initialize.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_main.py b/madanalysis/job/job_main.py index d5459970..d41aadb6 100644 --- a/madanalysis/job/job_main.py +++ b/madanalysis/job/job_main.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_particle.py b/madanalysis/job/job_particle.py index d615196e..ce5876ac 100644 --- a/madanalysis/job/job_particle.py +++ b/madanalysis/job/job_particle.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_plot.py b/madanalysis/job/job_plot.py index 6d7cc346..62969193 100644 --- a/madanalysis/job/job_plot.py +++ b/madanalysis/job/job_plot.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_smearer_reco_header.py b/madanalysis/job/job_smearer_reco_header.py index 32d1ff0f..58a2c89f 100644 --- a/madanalysis/job/job_smearer_reco_header.py +++ b/madanalysis/job/job_smearer_reco_header.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_smearer_reco_main.py b/madanalysis/job/job_smearer_reco_main.py index 0fe47aa9..ab43b59e 100644 --- a/madanalysis/job/job_smearer_reco_main.py +++ b/madanalysis/job/job_smearer_reco_main.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_tagger_header.py b/madanalysis/job/job_tagger_header.py index 272c6cdb..70228450 100644 --- a/madanalysis/job/job_tagger_header.py +++ b/madanalysis/job/job_tagger_header.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/job/job_tagger_main.py b/madanalysis/job/job_tagger_main.py index b68e8e49..0f10d161 100644 --- a/madanalysis/job/job_tagger_main.py +++ b/madanalysis/job/job_tagger_main.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/cut_info.py b/madanalysis/layout/cut_info.py index 3cce20a9..be78331e 100644 --- a/madanalysis/layout/cut_info.py +++ b/madanalysis/layout/cut_info.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/cutflow.py b/madanalysis/layout/cutflow.py index f0548a07..ea0f9023 100644 --- a/madanalysis/layout/cutflow.py +++ b/madanalysis/layout/cutflow.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/cutflow_for_dataset.py b/madanalysis/layout/cutflow_for_dataset.py index e5df240e..4237dd8b 100644 --- a/madanalysis/layout/cutflow_for_dataset.py +++ b/madanalysis/layout/cutflow_for_dataset.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/fom_calculation.py b/madanalysis/layout/fom_calculation.py index db3beda2..4e9e25c2 100644 --- a/madanalysis/layout/fom_calculation.py +++ b/madanalysis/layout/fom_calculation.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/histogram.py b/madanalysis/layout/histogram.py index 19569b5c..8e7c867b 100644 --- a/madanalysis/layout/histogram.py +++ b/madanalysis/layout/histogram.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/histogram_core.py b/madanalysis/layout/histogram_core.py index bd986722..298847ad 100644 --- a/madanalysis/layout/histogram_core.py +++ b/madanalysis/layout/histogram_core.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/histogram_frequency.py b/madanalysis/layout/histogram_frequency.py index 4767a2ac..59fada3c 100644 --- a/madanalysis/layout/histogram_frequency.py +++ b/madanalysis/layout/histogram_frequency.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/histogram_frequency_core.py b/madanalysis/layout/histogram_frequency_core.py index ca0b0cdf..86a3882a 100644 --- a/madanalysis/layout/histogram_frequency_core.py +++ b/madanalysis/layout/histogram_frequency_core.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/histogram_logx.py b/madanalysis/layout/histogram_logx.py index f1c231cf..b0a94e56 100644 --- a/madanalysis/layout/histogram_logx.py +++ b/madanalysis/layout/histogram_logx.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/layout.py b/madanalysis/layout/layout.py index 7a7a2e47..2134c931 100644 --- a/madanalysis/layout/layout.py +++ b/madanalysis/layout/layout.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/measure.py b/madanalysis/layout/measure.py index 8e123a47..df09df8a 100644 --- a/madanalysis/layout/measure.py +++ b/madanalysis/layout/measure.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/merging_plots.py b/madanalysis/layout/merging_plots.py index 5d9747e7..7589e27e 100644 --- a/madanalysis/layout/merging_plots.py +++ b/madanalysis/layout/merging_plots.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/merging_plots_for_dataset.py b/madanalysis/layout/merging_plots_for_dataset.py index d6ba6d8c..adb718e0 100644 --- a/madanalysis/layout/merging_plots_for_dataset.py +++ b/madanalysis/layout/merging_plots_for_dataset.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/plotflow.py b/madanalysis/layout/plotflow.py index 6b02aecb..b8a7bf6a 100644 --- a/madanalysis/layout/plotflow.py +++ b/madanalysis/layout/plotflow.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/layout/plotflow_for_dataset.py b/madanalysis/layout/plotflow_for_dataset.py index 164dfaf9..749643f8 100644 --- a/madanalysis/layout/plotflow_for_dataset.py +++ b/madanalysis/layout/plotflow_for_dataset.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/misc/freeze_environment.py b/madanalysis/misc/freeze_environment.py index cfe0b474..c284b12f 100644 --- a/madanalysis/misc/freeze_environment.py +++ b/madanalysis/misc/freeze_environment.py @@ -2,7 +2,7 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/misc/histfactory_reader.py b/madanalysis/misc/histfactory_reader.py index b7aeffb0..e9ed4975 100644 --- a/madanalysis/misc/histfactory_reader.py +++ b/madanalysis/misc/histfactory_reader.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/misc/run_recast.py b/madanalysis/misc/run_recast.py index 5487871c..8458017d 100644 --- a/madanalysis/misc/run_recast.py +++ b/madanalysis/misc/run_recast.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/multiparticle/extraparticle.py b/madanalysis/multiparticle/extraparticle.py index ac91f099..38239f92 100644 --- a/madanalysis/multiparticle/extraparticle.py +++ b/madanalysis/multiparticle/extraparticle.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/multiparticle/multiparticle.py b/madanalysis/multiparticle/multiparticle.py index 82ae5c17..1272af7a 100644 --- a/madanalysis/multiparticle/multiparticle.py +++ b/madanalysis/multiparticle/multiparticle.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/multiparticle/multiparticle_collection.py b/madanalysis/multiparticle/multiparticle_collection.py index e307bef3..463dd810 100644 --- a/madanalysis/multiparticle/multiparticle_collection.py +++ b/madanalysis/multiparticle/multiparticle_collection.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/multiparticle/particle_combination.py b/madanalysis/multiparticle/particle_combination.py index a3db6f2b..e9795019 100644 --- a/madanalysis/multiparticle/particle_combination.py +++ b/madanalysis/multiparticle/particle_combination.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/multiparticle/particle_object.py b/madanalysis/multiparticle/particle_object.py index 347fd75f..3c965954 100644 --- a/madanalysis/multiparticle/particle_object.py +++ b/madanalysis/multiparticle/particle_object.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/observable/observable_base.py b/madanalysis/observable/observable_base.py index ee0603c0..781eb3c2 100644 --- a/madanalysis/observable/observable_base.py +++ b/madanalysis/observable/observable_base.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/observable/observable_list.py b/madanalysis/observable/observable_list.py index fc70ec32..b8c3b873 100644 --- a/madanalysis/observable/observable_list.py +++ b/madanalysis/observable/observable_list.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/observable/observable_manager.py b/madanalysis/observable/observable_manager.py index 3da1c866..17ab84e4 100644 --- a/madanalysis/observable/observable_manager.py +++ b/madanalysis/observable/observable_manager.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/region/region.py b/madanalysis/region/region.py index 191e253b..e6a4e472 100644 --- a/madanalysis/region/region.py +++ b/madanalysis/region/region.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/region/region_collection.py b/madanalysis/region/region_collection.py index 6f8bf83c..b416f8f0 100644 --- a/madanalysis/region/region_collection.py +++ b/madanalysis/region/region_collection.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/selection/condition_connector.py b/madanalysis/selection/condition_connector.py index 13e06f99..ba5707d1 100644 --- a/madanalysis/selection/condition_connector.py +++ b/madanalysis/selection/condition_connector.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/selection/condition_sequence.py b/madanalysis/selection/condition_sequence.py index 0ebc12f1..1222df20 100644 --- a/madanalysis/selection/condition_sequence.py +++ b/madanalysis/selection/condition_sequence.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/selection/condition_type.py b/madanalysis/selection/condition_type.py index 91ae797e..eb0afe8a 100644 --- a/madanalysis/selection/condition_type.py +++ b/madanalysis/selection/condition_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/selection/cut.py b/madanalysis/selection/cut.py index 34c67ecd..8e12cd0a 100644 --- a/madanalysis/selection/cut.py +++ b/madanalysis/selection/cut.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/selection/histogram.py b/madanalysis/selection/histogram.py index 393bd165..a3d3c4a0 100644 --- a/madanalysis/selection/histogram.py +++ b/madanalysis/selection/histogram.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/selection/instance_name.py b/madanalysis/selection/instance_name.py index ea78dc65..3755b39c 100644 --- a/madanalysis/selection/instance_name.py +++ b/madanalysis/selection/instance_name.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/selection/selection.py b/madanalysis/selection/selection.py index 05bb0776..59499bc2 100644 --- a/madanalysis/selection/selection.py +++ b/madanalysis/selection/selection.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/architecture_info.py b/madanalysis/system/architecture_info.py index 01b23ad8..7b928d2b 100644 --- a/madanalysis/system/architecture_info.py +++ b/madanalysis/system/architecture_info.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/checkup.py b/madanalysis/system/checkup.py index 60af93d2..ef09b756 100644 --- a/madanalysis/system/checkup.py +++ b/madanalysis/system/checkup.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/config_checker.py b/madanalysis/system/config_checker.py index f6da0727..0c5e8601 100644 --- a/madanalysis/system/config_checker.py +++ b/madanalysis/system/config_checker.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_dvipdf.py b/madanalysis/system/detect_dvipdf.py index fdadad0f..7e90b3f0 100644 --- a/madanalysis/system/detect_dvipdf.py +++ b/madanalysis/system/detect_dvipdf.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_fastjet.py b/madanalysis/system/detect_fastjet.py index 5991d4ac..483ad712 100644 --- a/madanalysis/system/detect_fastjet.py +++ b/madanalysis/system/detect_fastjet.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_gnuplot.py b/madanalysis/system/detect_gnuplot.py index 1379fe04..8a7d16bf 100644 --- a/madanalysis/system/detect_gnuplot.py +++ b/madanalysis/system/detect_gnuplot.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_gpp.py b/madanalysis/system/detect_gpp.py index fa7b55ea..6f31bcae 100644 --- a/madanalysis/system/detect_gpp.py +++ b/madanalysis/system/detect_gpp.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_latex.py b/madanalysis/system/detect_latex.py index 99174620..3bf3ddcd 100644 --- a/madanalysis/system/detect_latex.py +++ b/madanalysis/system/detect_latex.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_make.py b/madanalysis/system/detect_make.py index cffb9367..77a2fe0f 100644 --- a/madanalysis/system/detect_make.py +++ b/madanalysis/system/detect_make.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_manager.py b/madanalysis/system/detect_manager.py index 68811819..9b9e90cc 100644 --- a/madanalysis/system/detect_manager.py +++ b/madanalysis/system/detect_manager.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_matplotlib.py b/madanalysis/system/detect_matplotlib.py index 83c4bcb7..e76280a9 100644 --- a/madanalysis/system/detect_matplotlib.py +++ b/madanalysis/system/detect_matplotlib.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_pad.py b/madanalysis/system/detect_pad.py index 90d8dd94..04f3dd04 100644 --- a/madanalysis/system/detect_pad.py +++ b/madanalysis/system/detect_pad.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_pdflatex.py b/madanalysis/system/detect_pdflatex.py index 11025cc7..94913de4 100644 --- a/madanalysis/system/detect_pdflatex.py +++ b/madanalysis/system/detect_pdflatex.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_pyhf.py b/madanalysis/system/detect_pyhf.py index a4e56d29..e443b638 100644 --- a/madanalysis/system/detect_pyhf.py +++ b/madanalysis/system/detect_pyhf.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_python.py b/madanalysis/system/detect_python.py index 251a1be0..f9b035b7 100644 --- a/madanalysis/system/detect_python.py +++ b/madanalysis/system/detect_python.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_root.py b/madanalysis/system/detect_root.py index 9fc14b55..9d0919e1 100644 --- a/madanalysis/system/detect_root.py +++ b/madanalysis/system/detect_root.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_root_graphical.py b/madanalysis/system/detect_root_graphical.py index dc8fd762..e243f83a 100644 --- a/madanalysis/system/detect_root_graphical.py +++ b/madanalysis/system/detect_root_graphical.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_scipy.py b/madanalysis/system/detect_scipy.py index 4cfacd1d..c33d1f17 100644 --- a/madanalysis/system/detect_scipy.py +++ b/madanalysis/system/detect_scipy.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_simplify.py b/madanalysis/system/detect_simplify.py index 8292c5fa..499a315d 100644 --- a/madanalysis/system/detect_simplify.py +++ b/madanalysis/system/detect_simplify.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_spey.py b/madanalysis/system/detect_spey.py index 166ed19a..81ef3d9e 100644 --- a/madanalysis/system/detect_spey.py +++ b/madanalysis/system/detect_spey.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/detect_zlib.py b/madanalysis/system/detect_zlib.py index 92df22bf..68c8f070 100644 --- a/madanalysis/system/detect_zlib.py +++ b/madanalysis/system/detect_zlib.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/session_info.py b/madanalysis/system/session_info.py index 16ebfa2c..0befd8b6 100644 --- a/madanalysis/system/session_info.py +++ b/madanalysis/system/session_info.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/madanalysis/system/user_info.py b/madanalysis/system/user_info.py index 7241db7b..d01dbce8 100644 --- a/madanalysis/system/user_info.py +++ b/madanalysis/system/user_info.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. From a551f8fd65e6427559243102fe96d06edfbf227f Mon Sep 17 00:00:00 2001 From: BFuks Date: Thu, 2 Apr 2026 07:19:15 +0200 Subject: [PATCH 5/7] changing 2012-2025 to 2012-2026 --- .../Commons/Base/ClusterAlgoBase.h | 2 +- .../Commons/Base/Configuration.cpp | 2 +- .../Commons/Base/Configuration.h | 2 +- .../Commons/Base/DetectorBase.h | 2 +- .../Commons/Base/PortabilityTags.h | 49 +++++++++++++++++++ .../Commons/Base/PortableDatatypes.h | 2 +- .../SampleAnalyzer/Commons/Base/ReaderBase.h | 2 +- .../Commons/Base/SmearerBase.cpp | 2 +- .../SampleAnalyzer/Commons/Base/SmearerBase.h | 2 +- .../SampleAnalyzer/Commons/Base/StatusCode.h | 2 +- .../Commons/Base/TaggerBase.cpp | 2 +- .../SampleAnalyzer/Commons/Base/TaggerBase.h | 2 +- .../SampleAnalyzer/Commons/Base/TestBase.cpp | 2 +- .../Commons/DataFormat/EventFormat.h | 2 +- .../Commons/DataFormat/GeneratorInfo.h | 2 +- .../Commons/DataFormat/IsolationConeType.h | 2 +- .../Commons/DataFormat/MCEventFormat.cpp | 2 +- .../Commons/DataFormat/MCEventFormat.h | 2 +- .../Commons/DataFormat/MCParticleFormat.h | 2 +- .../Commons/DataFormat/MCProcessFormat.h | 2 +- .../Commons/DataFormat/MCSampleFormat.h | 2 +- .../Commons/DataFormat/ParticleBaseFormat.h | 2 +- .../Commons/DataFormat/PdgDataFormat.cpp | 2 +- .../Commons/DataFormat/PdgDataFormat.h | 2 +- .../Commons/DataFormat/PdgTable.cpp | 2 +- .../Commons/DataFormat/PdgTable.h | 2 +- .../Commons/DataFormat/RecEventFormat.h | 2 +- .../Commons/DataFormat/RecJetFormat.h | 2 +- .../Commons/DataFormat/RecLeptonFormat.h | 2 +- .../Commons/DataFormat/RecParticleFormat.h | 2 +- .../Commons/DataFormat/RecPhotonFormat.h | 2 +- .../Commons/DataFormat/RecSampleFormat.h | 2 +- .../Commons/DataFormat/RecTauFormat.h | 2 +- .../Commons/DataFormat/RecTowerFormat.h | 2 +- .../Commons/DataFormat/RecTrackFormat.h | 2 +- .../Commons/DataFormat/RecVertexFormat.h | 2 +- .../Commons/DataFormat/SampleFormat.h | 2 +- .../Commons/DataFormat/WeightCollection.cpp | 2 +- .../Commons/DataFormat/WeightCollection.h | 2 +- .../Commons/DataFormat/WeightDefinition.cpp | 2 +- .../Commons/DataFormat/WeightDefinition.h | 2 +- .../Commons/Service/CompilationService.h | 2 +- .../Commons/Service/ConvertService.cpp | 2 +- .../Commons/Service/ConvertService.h | 2 +- .../Commons/Service/DisplayService.cpp | 2 +- .../Commons/Service/DisplayService.h | 2 +- .../Commons/Service/ExceptionService.cpp | 2 +- .../Commons/Service/ExceptionService.h | 2 +- .../Commons/Service/ExceptionType.h | 2 +- .../Commons/Service/Identification.h | 2 +- .../Commons/Service/Isolation.cpp | 2 +- .../Commons/Service/Isolation.h | 2 +- .../Commons/Service/IsolationBase.cpp | 2 +- .../Commons/Service/IsolationBase.h | 2 +- .../Commons/Service/IsolationCalorimeter.h | 2 +- .../Commons/Service/IsolationCombined.h | 2 +- .../Commons/Service/IsolationEFlow.h | 2 +- .../Commons/Service/IsolationTracker.h | 2 +- .../Commons/Service/LogMsgKey.h | 2 +- .../Commons/Service/LogMsgValue.h | 2 +- .../Commons/Service/LogReport.cpp | 2 +- .../Commons/Service/LogReport.h | 2 +- .../Commons/Service/LogService.cpp | 2 +- .../Commons/Service/LogService.h | 2 +- .../Commons/Service/LogStream.cpp | 2 +- .../Commons/Service/LogStream.h | 2 +- .../Commons/Service/LoopService.cpp | 2 +- .../Commons/Service/LoopService.h | 2 +- .../SampleAnalyzer/Commons/Service/MCconfig.h | 2 +- .../Commons/Service/PDGService.cpp | 2 +- .../Commons/Service/PDGService.h | 2 +- .../Commons/Service/Physics.cpp | 2 +- .../SampleAnalyzer/Commons/Service/Physics.h | 2 +- .../Commons/Service/RECconfig.h | 2 +- .../Commons/Service/RandomService.cpp | 2 +- .../Commons/Service/RandomService.h | 2 +- .../Commons/Service/SortingService.cpp | 2 +- .../Commons/Service/SortingService.h | 2 +- .../Commons/Service/Terminate.h | 2 +- .../Commons/Service/TimeMeasureType.h | 2 +- .../Commons/Service/TimeService.cpp | 2 +- .../Commons/Service/TimeService.h | 2 +- .../Commons/Service/TransverseVariables.cpp | 2 +- .../Commons/Service/TransverseVariables.h | 2 +- tools/SampleAnalyzer/Commons/Service/Utils.h | 2 +- tools/SampleAnalyzer/Commons/Vector/MABoost.h | 2 +- .../Commons/Vector/MALorentzVector.cpp | 2 +- .../Commons/Vector/MALorentzVector.h | 2 +- .../SampleAnalyzer/Commons/Vector/MAMatrix.h | 2 +- .../Commons/Vector/MARotation.cpp | 2 +- .../Commons/Vector/MARotation3axis.h | 2 +- .../Commons/Vector/MARotation3euler.h | 2 +- .../Commons/Vector/MARotationGeneral.h | 2 +- .../Commons/Vector/MAVector3.cpp | 2 +- .../SampleAnalyzer/Commons/Vector/MAVector3.h | 2 +- .../PortabilityCheckup/PortabilityCheckup.cpp | 2 +- .../Interfaces/delphes/DelphesDataFormat.cpp | 2 +- .../Interfaces/delphes/DelphesDataFormat.h | 2 +- .../Interfaces/delphes/DelphesDataFormat2.cpp | 2 +- .../Interfaces/delphes/DelphesDataFormat2.h | 2 +- .../delphes/DelphesMemoryInterface.cpp | 2 +- .../delphes/DelphesMemoryInterface.h | 2 +- .../Interfaces/delphes/DelphesTreeReader.cpp | 2 +- .../Interfaces/delphes/DelphesTreeReader.h | 2 +- .../Interfaces/delphes/DetectorDelphes.cpp | 2 +- .../Interfaces/delphes/DetectorDelphes.h | 2 +- .../DelphesMA5tuneTreeReader.cpp | 2 +- .../delphesMA5tune/DelphesMA5tuneTreeReader.h | 2 +- .../delphesMA5tune/DetectorDelphesMA5tune.cpp | 2 +- .../delphesMA5tune/DetectorDelphesMA5tune.h | 2 +- .../fastjet/ClusterAlgoCDFJetClu.cpp | 2 +- .../Interfaces/fastjet/ClusterAlgoCDFJetClu.h | 2 +- .../fastjet/ClusterAlgoCDFMidpoint.cpp | 2 +- .../fastjet/ClusterAlgoCDFMidpoint.h | 2 +- .../Interfaces/fastjet/ClusterAlgoFastJet.cpp | 2 +- .../Interfaces/fastjet/ClusterAlgoFastJet.h | 2 +- .../Interfaces/fastjet/ClusterAlgoGridJet.cpp | 2 +- .../Interfaces/fastjet/ClusterAlgoGridJet.h | 2 +- .../Interfaces/fastjet/ClusterAlgoPlugin.h | 2 +- .../Interfaces/fastjet/ClusterAlgoSISCone.cpp | 2 +- .../Interfaces/fastjet/ClusterAlgoSISCone.h | 2 +- .../fastjet/ClusterAlgoStandard.cpp | 2 +- .../Interfaces/fastjet/ClusterAlgoStandard.h | 2 +- .../Interfaces/fastjet/DJRextractor.cpp | 2 +- .../Interfaces/fastjet/DJRextractor.h | 2 +- .../Interfaces/root/ROOTReader.cpp | 2 +- .../Interfaces/root/ROOTReader.h | 2 +- .../Interfaces/root/RootMainHeaders.cpp | 2 +- .../Interfaces/root/RootMainHeaders.h | 2 +- .../Interfaces/root/TreeReaderBase.cpp | 2 +- .../Interfaces/root/TreeReaderBase.h | 2 +- .../SampleAnalyzer/Interfaces/zlib/gz_file.h | 2 +- .../Interfaces/zlib/gz_istream.h | 2 +- .../Interfaces/zlib/gz_ostream.h | 2 +- .../Interfaces/zlib/gz_streambase.cpp | 2 +- .../Interfaces/zlib/gz_streambase.h | 2 +- .../Process/Analyzer/AnalyzerBase.h | 2 +- .../Process/Analyzer/AnalyzerManager.cpp | 2 +- .../Process/Analyzer/AnalyzerManager.h | 2 +- .../Process/Analyzer/MergingPlots.cpp | 2 +- .../Process/Analyzer/MergingPlots.h | 2 +- .../SampleAnalyzer/Process/Core/ManagerBase.h | 2 +- .../Process/Core/ProgressBar.cpp | 2 +- .../SampleAnalyzer/Process/Core/ProgressBar.h | 2 +- .../Process/Core/SampleAnalyzer.cpp | 2 +- .../Process/Core/SampleAnalyzer.h | 2 +- .../Process/Core/xdr_istream.cpp | 2 +- .../SampleAnalyzer/Process/Core/xdr_istream.h | 2 +- .../SampleAnalyzer/Process/Counter/Counter.h | 2 +- .../Process/Counter/CounterManager.cpp | 2 +- .../Process/Counter/CounterManager.h | 2 +- .../Process/Counter/MultiRegionCounter.h | 2 +- .../Counter/MultiRegionCounterManager.h | 2 +- .../Process/Detector/DetectorManager.cpp | 2 +- .../Process/Detector/DetectorManager.h | 2 +- .../Process/JetClustering/JetClusterer.cpp | 2 +- .../Process/JetClustering/JetClusterer.h | 2 +- .../JetClustering/JetClustererManager.cpp | 2 +- .../JetClustering/JetClustererManager.h | 2 +- .../Process/JetClustering/NullSmearer.h | 2 +- .../Process/JetClustering/TauTagger.cpp | 2 +- .../Process/JetClustering/TauTagger.h | 2 +- .../Process/JetClustering/bTagger.cpp | 2 +- .../Process/JetClustering/bTagger.h | 2 +- .../Process/JetClustering/cTagger.cpp | 2 +- .../Process/JetClustering/cTagger.h | 2 +- tools/SampleAnalyzer/Process/Plot/Histo.cpp | 2 +- tools/SampleAnalyzer/Process/Plot/Histo.h | 2 +- .../Process/Plot/HistoFrequency.h | 2 +- .../SampleAnalyzer/Process/Plot/HistoLogX.cpp | 2 +- tools/SampleAnalyzer/Process/Plot/HistoLogX.h | 2 +- .../Process/Plot/MergingPlotType.cpp | 2 +- .../Process/Plot/MergingPlotType.h | 2 +- tools/SampleAnalyzer/Process/Plot/PlotBase.h | 2 +- .../Process/Plot/PlotManager.cpp | 2 +- .../SampleAnalyzer/Process/Plot/PlotManager.h | 2 +- .../Process/Reader/HEPMCReader.cpp | 2 +- .../Process/Reader/HEPMCReader.h | 2 +- .../Process/Reader/LHCOReader.cpp | 2 +- .../Process/Reader/LHCOReader.h | 2 +- .../Process/Reader/LHEReader.cpp | 2 +- .../SampleAnalyzer/Process/Reader/LHEReader.h | 2 +- .../Process/Reader/ReaderManager.cpp | 2 +- .../Process/Reader/ReaderManager.h | 2 +- .../Process/Reader/ReaderTextBase.cpp | 2 +- .../Process/Reader/ReaderTextBase.h | 2 +- .../Process/Reader/STDHEPreader.cpp | 2 +- .../Process/Reader/STDHEPreader.h | 2 +- .../RegionSelection/RegionSelection.cpp | 2 +- .../Process/RegionSelection/RegionSelection.h | 2 +- .../RegionSelectionManager.cpp | 2 +- .../RegionSelection/RegionSelectionManager.h | 2 +- .../Process/Writer/LHCOParticleFormat.cpp | 2 +- .../Process/Writer/LHCOParticleFormat.h | 2 +- .../Process/Writer/LHCOWriter.cpp | 2 +- .../Process/Writer/LHCOWriter.h | 2 +- .../Process/Writer/LHEParticleFormat.cpp | 2 +- .../Process/Writer/LHEParticleFormat.h | 2 +- .../Process/Writer/LHEWriter.cpp | 2 +- .../SampleAnalyzer/Process/Writer/LHEWriter.h | 2 +- .../Process/Writer/SAFWriter.cpp | 2 +- .../SampleAnalyzer/Process/Writer/SAFWriter.h | 2 +- .../Process/Writer/WriterBase.h | 2 +- .../Process/Writer/WriterManager.cpp | 2 +- .../Process/Writer/WriterManager.h | 2 +- .../Process/Writer/WriterTextBase.cpp | 2 +- .../Process/Writer/WriterTextBase.h | 2 +- tools/SampleAnalyzer/Test/Commons/Test.cpp | 2 +- tools/SampleAnalyzer/Test/Delphes/Test.cpp | 2 +- .../Test/DelphesMA5tune/Test.cpp | 2 +- tools/SampleAnalyzer/Test/Fastjet/Test.cpp | 2 +- .../SampleAnalyzer/Test/Multithread/test.cpp | 2 +- tools/SampleAnalyzer/Test/Process/Test.cpp | 2 +- tools/SampleAnalyzer/Test/Root/Test.cpp | 2 +- tools/SampleAnalyzer/Test/Zlib/Test.cpp | 2 +- 215 files changed, 263 insertions(+), 214 deletions(-) create mode 100644 tools/SampleAnalyzer/Commons/Base/PortabilityTags.h diff --git a/tools/SampleAnalyzer/Commons/Base/ClusterAlgoBase.h b/tools/SampleAnalyzer/Commons/Base/ClusterAlgoBase.h index 9994afee..fa1ece2f 100644 --- a/tools/SampleAnalyzer/Commons/Base/ClusterAlgoBase.h +++ b/tools/SampleAnalyzer/Commons/Base/ClusterAlgoBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Base/Configuration.cpp b/tools/SampleAnalyzer/Commons/Base/Configuration.cpp index e9359ca5..402295e5 100644 --- a/tools/SampleAnalyzer/Commons/Base/Configuration.cpp +++ b/tools/SampleAnalyzer/Commons/Base/Configuration.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Base/Configuration.h b/tools/SampleAnalyzer/Commons/Base/Configuration.h index 304166c3..0202ae12 100644 --- a/tools/SampleAnalyzer/Commons/Base/Configuration.h +++ b/tools/SampleAnalyzer/Commons/Base/Configuration.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Base/DetectorBase.h b/tools/SampleAnalyzer/Commons/Base/DetectorBase.h index 26b85074..99f8350d 100644 --- a/tools/SampleAnalyzer/Commons/Base/DetectorBase.h +++ b/tools/SampleAnalyzer/Commons/Base/DetectorBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Base/PortabilityTags.h b/tools/SampleAnalyzer/Commons/Base/PortabilityTags.h new file mode 100644 index 00000000..2f161c81 --- /dev/null +++ b/tools/SampleAnalyzer/Commons/Base/PortabilityTags.h @@ -0,0 +1,49 @@ +//////////////////////////////////////////////////////////////////////////////// +// +// Copyright (C) 2012-2016 Eric Conte, Benjamin Fuks +// The MadAnalysis development team, email: +// +// This file is part of MadAnalysis 5. +// Official website: +// +// MadAnalysis 5 is free software: you can redistribute it and/or modify +// it under the terms of the GNU General Public License as published by +// the Free Software Foundation, either version 3 of the License, or +// (at your option) any later version. +// +// MadAnalysis 5 is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +// GNU General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with MadAnalysis 5. If not, see +// +//////////////////////////////////////////////////////////////////////////////// + + +#ifndef PORTABILITY_CHECK +#define PORTABILITY_CHECK + + +// Tags produced automatically by the Portability Check-Up +// bool = 1 bytes +// char = 1 bytes +// uchar = 1 bytes +// short = 2 bytes +// ushort = 2 bytes +// int = 4 bytes +// uint = 4 bytes +// long = 8 bytes +// ulong = 8 bytes +// llong = 8 bytes +// ullong = 8 bytes +// float = 4 bytes +// double = 8 bytes +// ldouble = 8 bytes + +#define INT_4BYTES 1 +#define LONG_8BYTES 1 + + +#endif diff --git a/tools/SampleAnalyzer/Commons/Base/PortableDatatypes.h b/tools/SampleAnalyzer/Commons/Base/PortableDatatypes.h index 6f2c4c37..4523bb95 100644 --- a/tools/SampleAnalyzer/Commons/Base/PortableDatatypes.h +++ b/tools/SampleAnalyzer/Commons/Base/PortableDatatypes.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Base/ReaderBase.h b/tools/SampleAnalyzer/Commons/Base/ReaderBase.h index 0e49c504..3752ed27 100644 --- a/tools/SampleAnalyzer/Commons/Base/ReaderBase.h +++ b/tools/SampleAnalyzer/Commons/Base/ReaderBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Base/SmearerBase.cpp b/tools/SampleAnalyzer/Commons/Base/SmearerBase.cpp index 04ce1be6..d98b879c 100644 --- a/tools/SampleAnalyzer/Commons/Base/SmearerBase.cpp +++ b/tools/SampleAnalyzer/Commons/Base/SmearerBase.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Base/SmearerBase.h b/tools/SampleAnalyzer/Commons/Base/SmearerBase.h index 7d2a5015..d4072464 100644 --- a/tools/SampleAnalyzer/Commons/Base/SmearerBase.h +++ b/tools/SampleAnalyzer/Commons/Base/SmearerBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Base/StatusCode.h b/tools/SampleAnalyzer/Commons/Base/StatusCode.h index 46377434..afca9f5e 100644 --- a/tools/SampleAnalyzer/Commons/Base/StatusCode.h +++ b/tools/SampleAnalyzer/Commons/Base/StatusCode.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Base/TaggerBase.cpp b/tools/SampleAnalyzer/Commons/Base/TaggerBase.cpp index 5acccb76..c212fb4c 100644 --- a/tools/SampleAnalyzer/Commons/Base/TaggerBase.cpp +++ b/tools/SampleAnalyzer/Commons/Base/TaggerBase.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Base/TaggerBase.h b/tools/SampleAnalyzer/Commons/Base/TaggerBase.h index e31c4977..627af5e9 100644 --- a/tools/SampleAnalyzer/Commons/Base/TaggerBase.h +++ b/tools/SampleAnalyzer/Commons/Base/TaggerBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Base/TestBase.cpp b/tools/SampleAnalyzer/Commons/Base/TestBase.cpp index 3b7a9089..26a72f84 100644 --- a/tools/SampleAnalyzer/Commons/Base/TestBase.cpp +++ b/tools/SampleAnalyzer/Commons/Base/TestBase.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/EventFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/EventFormat.h index b158e9bf..8707b7a5 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/EventFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/EventFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/GeneratorInfo.h b/tools/SampleAnalyzer/Commons/DataFormat/GeneratorInfo.h index 26a76ca2..8448da9c 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/GeneratorInfo.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/GeneratorInfo.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/IsolationConeType.h b/tools/SampleAnalyzer/Commons/DataFormat/IsolationConeType.h index 9288cf50..b9dd69b0 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/IsolationConeType.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/IsolationConeType.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/MCEventFormat.cpp b/tools/SampleAnalyzer/Commons/DataFormat/MCEventFormat.cpp index 673526dc..e31426a2 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/MCEventFormat.cpp +++ b/tools/SampleAnalyzer/Commons/DataFormat/MCEventFormat.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/MCEventFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/MCEventFormat.h index 6234b7b2..4af87f63 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/MCEventFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/MCEventFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/MCParticleFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/MCParticleFormat.h index 799a4771..a3c6408e 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/MCParticleFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/MCParticleFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/MCProcessFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/MCProcessFormat.h index 6f58f288..bf7e82a1 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/MCProcessFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/MCProcessFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/MCSampleFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/MCSampleFormat.h index 4a202bfe..1719009e 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/MCSampleFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/MCSampleFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/ParticleBaseFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/ParticleBaseFormat.h index e1d03f90..119723e6 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/ParticleBaseFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/ParticleBaseFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/PdgDataFormat.cpp b/tools/SampleAnalyzer/Commons/DataFormat/PdgDataFormat.cpp index e2f91314..3bb1f7af 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/PdgDataFormat.cpp +++ b/tools/SampleAnalyzer/Commons/DataFormat/PdgDataFormat.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/PdgDataFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/PdgDataFormat.h index cd7afd87..a730688d 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/PdgDataFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/PdgDataFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/PdgTable.cpp b/tools/SampleAnalyzer/Commons/DataFormat/PdgTable.cpp index 1f5442ac..f9b281b7 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/PdgTable.cpp +++ b/tools/SampleAnalyzer/Commons/DataFormat/PdgTable.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/PdgTable.h b/tools/SampleAnalyzer/Commons/DataFormat/PdgTable.h index a28b24f1..7857fa09 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/PdgTable.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/PdgTable.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/RecEventFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/RecEventFormat.h index ae587476..c0a25544 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/RecEventFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/RecEventFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/RecJetFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/RecJetFormat.h index d2a9b90b..74445df0 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/RecJetFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/RecJetFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/RecLeptonFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/RecLeptonFormat.h index f87b386d..dde8b901 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/RecLeptonFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/RecLeptonFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/RecParticleFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/RecParticleFormat.h index 61c1738e..1809de52 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/RecParticleFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/RecParticleFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/RecPhotonFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/RecPhotonFormat.h index 9d950043..98ce86c9 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/RecPhotonFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/RecPhotonFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/RecSampleFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/RecSampleFormat.h index aca3fa4b..5ba566c2 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/RecSampleFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/RecSampleFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/RecTauFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/RecTauFormat.h index faa084f5..3417b0b1 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/RecTauFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/RecTauFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/RecTowerFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/RecTowerFormat.h index edf39a75..a46ba3c8 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/RecTowerFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/RecTowerFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/RecTrackFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/RecTrackFormat.h index 1f4175e2..00970ffc 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/RecTrackFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/RecTrackFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/RecVertexFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/RecVertexFormat.h index 5a150623..0aa75bed 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/RecVertexFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/RecVertexFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/SampleFormat.h b/tools/SampleAnalyzer/Commons/DataFormat/SampleFormat.h index cdec6b77..55a22fe5 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/SampleFormat.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/SampleFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/WeightCollection.cpp b/tools/SampleAnalyzer/Commons/DataFormat/WeightCollection.cpp index ecb0664d..d0962f84 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/WeightCollection.cpp +++ b/tools/SampleAnalyzer/Commons/DataFormat/WeightCollection.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/WeightCollection.h b/tools/SampleAnalyzer/Commons/DataFormat/WeightCollection.h index 64a6e046..003667a0 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/WeightCollection.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/WeightCollection.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/WeightDefinition.cpp b/tools/SampleAnalyzer/Commons/DataFormat/WeightDefinition.cpp index 812edf12..19a02a6a 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/WeightDefinition.cpp +++ b/tools/SampleAnalyzer/Commons/DataFormat/WeightDefinition.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/DataFormat/WeightDefinition.h b/tools/SampleAnalyzer/Commons/DataFormat/WeightDefinition.h index f382c994..e9d09833 100644 --- a/tools/SampleAnalyzer/Commons/DataFormat/WeightDefinition.h +++ b/tools/SampleAnalyzer/Commons/DataFormat/WeightDefinition.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/CompilationService.h b/tools/SampleAnalyzer/Commons/Service/CompilationService.h index 5091d53c..4e95d660 100644 --- a/tools/SampleAnalyzer/Commons/Service/CompilationService.h +++ b/tools/SampleAnalyzer/Commons/Service/CompilationService.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/ConvertService.cpp b/tools/SampleAnalyzer/Commons/Service/ConvertService.cpp index fb0fbe8d..645a18e0 100644 --- a/tools/SampleAnalyzer/Commons/Service/ConvertService.cpp +++ b/tools/SampleAnalyzer/Commons/Service/ConvertService.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/ConvertService.h b/tools/SampleAnalyzer/Commons/Service/ConvertService.h index 2cd4f1e3..0918b916 100644 --- a/tools/SampleAnalyzer/Commons/Service/ConvertService.h +++ b/tools/SampleAnalyzer/Commons/Service/ConvertService.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/DisplayService.cpp b/tools/SampleAnalyzer/Commons/Service/DisplayService.cpp index 44462fb5..fd0164e4 100644 --- a/tools/SampleAnalyzer/Commons/Service/DisplayService.cpp +++ b/tools/SampleAnalyzer/Commons/Service/DisplayService.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/DisplayService.h b/tools/SampleAnalyzer/Commons/Service/DisplayService.h index 54f7890c..2eca08bc 100644 --- a/tools/SampleAnalyzer/Commons/Service/DisplayService.h +++ b/tools/SampleAnalyzer/Commons/Service/DisplayService.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/ExceptionService.cpp b/tools/SampleAnalyzer/Commons/Service/ExceptionService.cpp index fd344034..2c185a85 100644 --- a/tools/SampleAnalyzer/Commons/Service/ExceptionService.cpp +++ b/tools/SampleAnalyzer/Commons/Service/ExceptionService.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/ExceptionService.h b/tools/SampleAnalyzer/Commons/Service/ExceptionService.h index 9862f991..00eeca07 100644 --- a/tools/SampleAnalyzer/Commons/Service/ExceptionService.h +++ b/tools/SampleAnalyzer/Commons/Service/ExceptionService.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/ExceptionType.h b/tools/SampleAnalyzer/Commons/Service/ExceptionType.h index 8a55ff4a..0545135f 100644 --- a/tools/SampleAnalyzer/Commons/Service/ExceptionType.h +++ b/tools/SampleAnalyzer/Commons/Service/ExceptionType.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/Identification.h b/tools/SampleAnalyzer/Commons/Service/Identification.h index c6f03c63..67bf9dc9 100644 --- a/tools/SampleAnalyzer/Commons/Service/Identification.h +++ b/tools/SampleAnalyzer/Commons/Service/Identification.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/Isolation.cpp b/tools/SampleAnalyzer/Commons/Service/Isolation.cpp index d47c5b5c..750b5c1c 100644 --- a/tools/SampleAnalyzer/Commons/Service/Isolation.cpp +++ b/tools/SampleAnalyzer/Commons/Service/Isolation.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/Isolation.h b/tools/SampleAnalyzer/Commons/Service/Isolation.h index 0e04305c..da0d8f19 100644 --- a/tools/SampleAnalyzer/Commons/Service/Isolation.h +++ b/tools/SampleAnalyzer/Commons/Service/Isolation.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/IsolationBase.cpp b/tools/SampleAnalyzer/Commons/Service/IsolationBase.cpp index 6e6025bf..2ebd1606 100644 --- a/tools/SampleAnalyzer/Commons/Service/IsolationBase.cpp +++ b/tools/SampleAnalyzer/Commons/Service/IsolationBase.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/IsolationBase.h b/tools/SampleAnalyzer/Commons/Service/IsolationBase.h index 9845c594..93d10ea5 100644 --- a/tools/SampleAnalyzer/Commons/Service/IsolationBase.h +++ b/tools/SampleAnalyzer/Commons/Service/IsolationBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/IsolationCalorimeter.h b/tools/SampleAnalyzer/Commons/Service/IsolationCalorimeter.h index dc01e175..896edeb9 100644 --- a/tools/SampleAnalyzer/Commons/Service/IsolationCalorimeter.h +++ b/tools/SampleAnalyzer/Commons/Service/IsolationCalorimeter.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/IsolationCombined.h b/tools/SampleAnalyzer/Commons/Service/IsolationCombined.h index e77cd917..70206afd 100644 --- a/tools/SampleAnalyzer/Commons/Service/IsolationCombined.h +++ b/tools/SampleAnalyzer/Commons/Service/IsolationCombined.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/IsolationEFlow.h b/tools/SampleAnalyzer/Commons/Service/IsolationEFlow.h index 1a06157d..0020c8fc 100644 --- a/tools/SampleAnalyzer/Commons/Service/IsolationEFlow.h +++ b/tools/SampleAnalyzer/Commons/Service/IsolationEFlow.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/IsolationTracker.h b/tools/SampleAnalyzer/Commons/Service/IsolationTracker.h index 4112fe5c..f11ae880 100644 --- a/tools/SampleAnalyzer/Commons/Service/IsolationTracker.h +++ b/tools/SampleAnalyzer/Commons/Service/IsolationTracker.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/LogMsgKey.h b/tools/SampleAnalyzer/Commons/Service/LogMsgKey.h index e1410e1f..f6c6c24e 100644 --- a/tools/SampleAnalyzer/Commons/Service/LogMsgKey.h +++ b/tools/SampleAnalyzer/Commons/Service/LogMsgKey.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/LogMsgValue.h b/tools/SampleAnalyzer/Commons/Service/LogMsgValue.h index 4184a16a..71918533 100644 --- a/tools/SampleAnalyzer/Commons/Service/LogMsgValue.h +++ b/tools/SampleAnalyzer/Commons/Service/LogMsgValue.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/LogReport.cpp b/tools/SampleAnalyzer/Commons/Service/LogReport.cpp index 9d3d8adc..e2493bc8 100644 --- a/tools/SampleAnalyzer/Commons/Service/LogReport.cpp +++ b/tools/SampleAnalyzer/Commons/Service/LogReport.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/LogReport.h b/tools/SampleAnalyzer/Commons/Service/LogReport.h index 3552c01f..77e6a9c7 100644 --- a/tools/SampleAnalyzer/Commons/Service/LogReport.h +++ b/tools/SampleAnalyzer/Commons/Service/LogReport.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/LogService.cpp b/tools/SampleAnalyzer/Commons/Service/LogService.cpp index 17dd5f43..49776428 100644 --- a/tools/SampleAnalyzer/Commons/Service/LogService.cpp +++ b/tools/SampleAnalyzer/Commons/Service/LogService.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/LogService.h b/tools/SampleAnalyzer/Commons/Service/LogService.h index 07923377..f578e299 100644 --- a/tools/SampleAnalyzer/Commons/Service/LogService.h +++ b/tools/SampleAnalyzer/Commons/Service/LogService.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/LogStream.cpp b/tools/SampleAnalyzer/Commons/Service/LogStream.cpp index b3fefd6a..2d8ffd3f 100644 --- a/tools/SampleAnalyzer/Commons/Service/LogStream.cpp +++ b/tools/SampleAnalyzer/Commons/Service/LogStream.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/LogStream.h b/tools/SampleAnalyzer/Commons/Service/LogStream.h index 6337b290..d5c68ae0 100644 --- a/tools/SampleAnalyzer/Commons/Service/LogStream.h +++ b/tools/SampleAnalyzer/Commons/Service/LogStream.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/LoopService.cpp b/tools/SampleAnalyzer/Commons/Service/LoopService.cpp index 6102864f..c5796e32 100644 --- a/tools/SampleAnalyzer/Commons/Service/LoopService.cpp +++ b/tools/SampleAnalyzer/Commons/Service/LoopService.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/LoopService.h b/tools/SampleAnalyzer/Commons/Service/LoopService.h index 805f4ba0..4b23eadd 100644 --- a/tools/SampleAnalyzer/Commons/Service/LoopService.h +++ b/tools/SampleAnalyzer/Commons/Service/LoopService.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/MCconfig.h b/tools/SampleAnalyzer/Commons/Service/MCconfig.h index a4e8bf36..06b84c7a 100644 --- a/tools/SampleAnalyzer/Commons/Service/MCconfig.h +++ b/tools/SampleAnalyzer/Commons/Service/MCconfig.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/PDGService.cpp b/tools/SampleAnalyzer/Commons/Service/PDGService.cpp index a82a9e23..9eecc0eb 100644 --- a/tools/SampleAnalyzer/Commons/Service/PDGService.cpp +++ b/tools/SampleAnalyzer/Commons/Service/PDGService.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/PDGService.h b/tools/SampleAnalyzer/Commons/Service/PDGService.h index f3b4e22c..6d629e4f 100644 --- a/tools/SampleAnalyzer/Commons/Service/PDGService.h +++ b/tools/SampleAnalyzer/Commons/Service/PDGService.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/Physics.cpp b/tools/SampleAnalyzer/Commons/Service/Physics.cpp index 551910c4..9cf70df2 100644 --- a/tools/SampleAnalyzer/Commons/Service/Physics.cpp +++ b/tools/SampleAnalyzer/Commons/Service/Physics.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/Physics.h b/tools/SampleAnalyzer/Commons/Service/Physics.h index 9b82b5df..83782144 100644 --- a/tools/SampleAnalyzer/Commons/Service/Physics.h +++ b/tools/SampleAnalyzer/Commons/Service/Physics.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/RECconfig.h b/tools/SampleAnalyzer/Commons/Service/RECconfig.h index f47a693d..43df601b 100644 --- a/tools/SampleAnalyzer/Commons/Service/RECconfig.h +++ b/tools/SampleAnalyzer/Commons/Service/RECconfig.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/RandomService.cpp b/tools/SampleAnalyzer/Commons/Service/RandomService.cpp index 412689f4..42158e85 100644 --- a/tools/SampleAnalyzer/Commons/Service/RandomService.cpp +++ b/tools/SampleAnalyzer/Commons/Service/RandomService.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/RandomService.h b/tools/SampleAnalyzer/Commons/Service/RandomService.h index 9dd23240..9f7bd133 100644 --- a/tools/SampleAnalyzer/Commons/Service/RandomService.h +++ b/tools/SampleAnalyzer/Commons/Service/RandomService.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/SortingService.cpp b/tools/SampleAnalyzer/Commons/Service/SortingService.cpp index a0548003..5b66f6b6 100644 --- a/tools/SampleAnalyzer/Commons/Service/SortingService.cpp +++ b/tools/SampleAnalyzer/Commons/Service/SortingService.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/SortingService.h b/tools/SampleAnalyzer/Commons/Service/SortingService.h index c4ca0007..1e510599 100644 --- a/tools/SampleAnalyzer/Commons/Service/SortingService.h +++ b/tools/SampleAnalyzer/Commons/Service/SortingService.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/Terminate.h b/tools/SampleAnalyzer/Commons/Service/Terminate.h index c1e9ba6d..e9a2de17 100644 --- a/tools/SampleAnalyzer/Commons/Service/Terminate.h +++ b/tools/SampleAnalyzer/Commons/Service/Terminate.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/TimeMeasureType.h b/tools/SampleAnalyzer/Commons/Service/TimeMeasureType.h index e1a4bc75..6d624aad 100644 --- a/tools/SampleAnalyzer/Commons/Service/TimeMeasureType.h +++ b/tools/SampleAnalyzer/Commons/Service/TimeMeasureType.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/TimeService.cpp b/tools/SampleAnalyzer/Commons/Service/TimeService.cpp index 8b12da97..ee8334bf 100644 --- a/tools/SampleAnalyzer/Commons/Service/TimeService.cpp +++ b/tools/SampleAnalyzer/Commons/Service/TimeService.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/TimeService.h b/tools/SampleAnalyzer/Commons/Service/TimeService.h index e6bd1e72..cbb2163f 100644 --- a/tools/SampleAnalyzer/Commons/Service/TimeService.h +++ b/tools/SampleAnalyzer/Commons/Service/TimeService.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/TransverseVariables.cpp b/tools/SampleAnalyzer/Commons/Service/TransverseVariables.cpp index e9ea4bd5..1679a5fa 100644 --- a/tools/SampleAnalyzer/Commons/Service/TransverseVariables.cpp +++ b/tools/SampleAnalyzer/Commons/Service/TransverseVariables.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/TransverseVariables.h b/tools/SampleAnalyzer/Commons/Service/TransverseVariables.h index 510478db..d8158738 100644 --- a/tools/SampleAnalyzer/Commons/Service/TransverseVariables.h +++ b/tools/SampleAnalyzer/Commons/Service/TransverseVariables.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Service/Utils.h b/tools/SampleAnalyzer/Commons/Service/Utils.h index 37c3ad28..fdf0d773 100644 --- a/tools/SampleAnalyzer/Commons/Service/Utils.h +++ b/tools/SampleAnalyzer/Commons/Service/Utils.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Vector/MABoost.h b/tools/SampleAnalyzer/Commons/Vector/MABoost.h index b711b87c..2a35af04 100644 --- a/tools/SampleAnalyzer/Commons/Vector/MABoost.h +++ b/tools/SampleAnalyzer/Commons/Vector/MABoost.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Vector/MALorentzVector.cpp b/tools/SampleAnalyzer/Commons/Vector/MALorentzVector.cpp index e948885f..3356f195 100644 --- a/tools/SampleAnalyzer/Commons/Vector/MALorentzVector.cpp +++ b/tools/SampleAnalyzer/Commons/Vector/MALorentzVector.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Vector/MALorentzVector.h b/tools/SampleAnalyzer/Commons/Vector/MALorentzVector.h index 33c74968..89159345 100644 --- a/tools/SampleAnalyzer/Commons/Vector/MALorentzVector.h +++ b/tools/SampleAnalyzer/Commons/Vector/MALorentzVector.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Vector/MAMatrix.h b/tools/SampleAnalyzer/Commons/Vector/MAMatrix.h index 8b42c60b..0e21e6a1 100644 --- a/tools/SampleAnalyzer/Commons/Vector/MAMatrix.h +++ b/tools/SampleAnalyzer/Commons/Vector/MAMatrix.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Vector/MARotation.cpp b/tools/SampleAnalyzer/Commons/Vector/MARotation.cpp index 001a55e5..180eb875 100644 --- a/tools/SampleAnalyzer/Commons/Vector/MARotation.cpp +++ b/tools/SampleAnalyzer/Commons/Vector/MARotation.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Vector/MARotation3axis.h b/tools/SampleAnalyzer/Commons/Vector/MARotation3axis.h index 0a628ae1..487b43b6 100644 --- a/tools/SampleAnalyzer/Commons/Vector/MARotation3axis.h +++ b/tools/SampleAnalyzer/Commons/Vector/MARotation3axis.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Vector/MARotation3euler.h b/tools/SampleAnalyzer/Commons/Vector/MARotation3euler.h index f9a64f75..0462c1a8 100644 --- a/tools/SampleAnalyzer/Commons/Vector/MARotation3euler.h +++ b/tools/SampleAnalyzer/Commons/Vector/MARotation3euler.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Vector/MARotationGeneral.h b/tools/SampleAnalyzer/Commons/Vector/MARotationGeneral.h index 2e7801ed..a3660b20 100644 --- a/tools/SampleAnalyzer/Commons/Vector/MARotationGeneral.h +++ b/tools/SampleAnalyzer/Commons/Vector/MARotationGeneral.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Vector/MAVector3.cpp b/tools/SampleAnalyzer/Commons/Vector/MAVector3.cpp index 1842dea1..dfb34206 100644 --- a/tools/SampleAnalyzer/Commons/Vector/MAVector3.cpp +++ b/tools/SampleAnalyzer/Commons/Vector/MAVector3.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Commons/Vector/MAVector3.h b/tools/SampleAnalyzer/Commons/Vector/MAVector3.h index d24deae0..d903bb03 100644 --- a/tools/SampleAnalyzer/Commons/Vector/MAVector3.h +++ b/tools/SampleAnalyzer/Commons/Vector/MAVector3.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Configuration/PortabilityCheckup/PortabilityCheckup.cpp b/tools/SampleAnalyzer/Configuration/PortabilityCheckup/PortabilityCheckup.cpp index 2036d238..e01a6dbd 100644 --- a/tools/SampleAnalyzer/Configuration/PortabilityCheckup/PortabilityCheckup.cpp +++ b/tools/SampleAnalyzer/Configuration/PortabilityCheckup/PortabilityCheckup.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat.cpp b/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat.cpp index ba0b128b..20af7e1b 100644 --- a/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat.cpp +++ b/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat.h b/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat.h index 4a8267f9..b3bdc13c 100644 --- a/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat.h +++ b/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat2.cpp b/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat2.cpp index 16f794fe..5aa8ce90 100644 --- a/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat2.cpp +++ b/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat2.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat2.h b/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat2.h index fbc9de35..dacb665f 100644 --- a/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat2.h +++ b/tools/SampleAnalyzer/Interfaces/delphes/DelphesDataFormat2.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphes/DelphesMemoryInterface.cpp b/tools/SampleAnalyzer/Interfaces/delphes/DelphesMemoryInterface.cpp index 014fbf8d..f9af9faa 100644 --- a/tools/SampleAnalyzer/Interfaces/delphes/DelphesMemoryInterface.cpp +++ b/tools/SampleAnalyzer/Interfaces/delphes/DelphesMemoryInterface.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphes/DelphesMemoryInterface.h b/tools/SampleAnalyzer/Interfaces/delphes/DelphesMemoryInterface.h index 378a9969..b3bf309f 100644 --- a/tools/SampleAnalyzer/Interfaces/delphes/DelphesMemoryInterface.h +++ b/tools/SampleAnalyzer/Interfaces/delphes/DelphesMemoryInterface.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphes/DelphesTreeReader.cpp b/tools/SampleAnalyzer/Interfaces/delphes/DelphesTreeReader.cpp index 813d34fc..5373d395 100644 --- a/tools/SampleAnalyzer/Interfaces/delphes/DelphesTreeReader.cpp +++ b/tools/SampleAnalyzer/Interfaces/delphes/DelphesTreeReader.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphes/DelphesTreeReader.h b/tools/SampleAnalyzer/Interfaces/delphes/DelphesTreeReader.h index 5a354382..bb9fda04 100644 --- a/tools/SampleAnalyzer/Interfaces/delphes/DelphesTreeReader.h +++ b/tools/SampleAnalyzer/Interfaces/delphes/DelphesTreeReader.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphes/DetectorDelphes.cpp b/tools/SampleAnalyzer/Interfaces/delphes/DetectorDelphes.cpp index f4acbb0a..952f6487 100644 --- a/tools/SampleAnalyzer/Interfaces/delphes/DetectorDelphes.cpp +++ b/tools/SampleAnalyzer/Interfaces/delphes/DetectorDelphes.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphes/DetectorDelphes.h b/tools/SampleAnalyzer/Interfaces/delphes/DetectorDelphes.h index 8ad64964..0907d7d2 100644 --- a/tools/SampleAnalyzer/Interfaces/delphes/DetectorDelphes.h +++ b/tools/SampleAnalyzer/Interfaces/delphes/DetectorDelphes.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DelphesMA5tuneTreeReader.cpp b/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DelphesMA5tuneTreeReader.cpp index 288e0d4a..c04fd32a 100644 --- a/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DelphesMA5tuneTreeReader.cpp +++ b/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DelphesMA5tuneTreeReader.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DelphesMA5tuneTreeReader.h b/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DelphesMA5tuneTreeReader.h index 2ee334bd..a6714e1b 100644 --- a/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DelphesMA5tuneTreeReader.h +++ b/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DelphesMA5tuneTreeReader.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DetectorDelphesMA5tune.cpp b/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DetectorDelphesMA5tune.cpp index c8516ae2..0203fef7 100644 --- a/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DetectorDelphesMA5tune.cpp +++ b/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DetectorDelphesMA5tune.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DetectorDelphesMA5tune.h b/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DetectorDelphesMA5tune.h index 1aa30002..8831388b 100644 --- a/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DetectorDelphesMA5tune.h +++ b/tools/SampleAnalyzer/Interfaces/delphesMA5tune/DetectorDelphesMA5tune.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFJetClu.cpp b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFJetClu.cpp index d9b9137e..8b744f2f 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFJetClu.cpp +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFJetClu.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFJetClu.h b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFJetClu.h index 989e5b62..cf592119 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFJetClu.h +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFJetClu.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFMidpoint.cpp b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFMidpoint.cpp index 15d752f1..21ed8c57 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFMidpoint.cpp +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFMidpoint.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFMidpoint.h b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFMidpoint.h index 63ad817d..70e73a7a 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFMidpoint.h +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoCDFMidpoint.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoFastJet.cpp b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoFastJet.cpp index e29dffed..3b4e9a2b 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoFastJet.cpp +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoFastJet.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoFastJet.h b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoFastJet.h index 7d5fb325..47970ec7 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoFastJet.h +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoFastJet.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoGridJet.cpp b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoGridJet.cpp index 5d3d0b2c..d020ac06 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoGridJet.cpp +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoGridJet.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoGridJet.h b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoGridJet.h index ca1d15bb..1c9fcaa6 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoGridJet.h +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoGridJet.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoPlugin.h b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoPlugin.h index 522ca08d..b3095562 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoPlugin.h +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoPlugin.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoSISCone.cpp b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoSISCone.cpp index ff3cc863..4ff9df37 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoSISCone.cpp +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoSISCone.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoSISCone.h b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoSISCone.h index dc0f91a0..0a1bdc35 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoSISCone.h +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoSISCone.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoStandard.cpp b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoStandard.cpp index 691fc744..12df9e9e 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoStandard.cpp +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoStandard.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoStandard.h b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoStandard.h index a536b465..b38e4909 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoStandard.h +++ b/tools/SampleAnalyzer/Interfaces/fastjet/ClusterAlgoStandard.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/DJRextractor.cpp b/tools/SampleAnalyzer/Interfaces/fastjet/DJRextractor.cpp index de7b511c..1e818ee7 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/DJRextractor.cpp +++ b/tools/SampleAnalyzer/Interfaces/fastjet/DJRextractor.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/fastjet/DJRextractor.h b/tools/SampleAnalyzer/Interfaces/fastjet/DJRextractor.h index d8245874..9ed49868 100644 --- a/tools/SampleAnalyzer/Interfaces/fastjet/DJRextractor.h +++ b/tools/SampleAnalyzer/Interfaces/fastjet/DJRextractor.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/root/ROOTReader.cpp b/tools/SampleAnalyzer/Interfaces/root/ROOTReader.cpp index d8154e72..26bd038c 100644 --- a/tools/SampleAnalyzer/Interfaces/root/ROOTReader.cpp +++ b/tools/SampleAnalyzer/Interfaces/root/ROOTReader.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/root/ROOTReader.h b/tools/SampleAnalyzer/Interfaces/root/ROOTReader.h index 8696255f..286b6f06 100644 --- a/tools/SampleAnalyzer/Interfaces/root/ROOTReader.h +++ b/tools/SampleAnalyzer/Interfaces/root/ROOTReader.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.cpp b/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.cpp index d1e84ada..eef7a76d 100644 --- a/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.cpp +++ b/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.h b/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.h index 7e7ce0b7..9e30fe25 100644 --- a/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.h +++ b/tools/SampleAnalyzer/Interfaces/root/RootMainHeaders.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/root/TreeReaderBase.cpp b/tools/SampleAnalyzer/Interfaces/root/TreeReaderBase.cpp index 11ce849a..7bad7c27 100644 --- a/tools/SampleAnalyzer/Interfaces/root/TreeReaderBase.cpp +++ b/tools/SampleAnalyzer/Interfaces/root/TreeReaderBase.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/root/TreeReaderBase.h b/tools/SampleAnalyzer/Interfaces/root/TreeReaderBase.h index 9506023a..4dca3062 100644 --- a/tools/SampleAnalyzer/Interfaces/root/TreeReaderBase.h +++ b/tools/SampleAnalyzer/Interfaces/root/TreeReaderBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/zlib/gz_file.h b/tools/SampleAnalyzer/Interfaces/zlib/gz_file.h index cfef18ce..ea2a02ea 100644 --- a/tools/SampleAnalyzer/Interfaces/zlib/gz_file.h +++ b/tools/SampleAnalyzer/Interfaces/zlib/gz_file.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/zlib/gz_istream.h b/tools/SampleAnalyzer/Interfaces/zlib/gz_istream.h index 35c5f360..39664714 100644 --- a/tools/SampleAnalyzer/Interfaces/zlib/gz_istream.h +++ b/tools/SampleAnalyzer/Interfaces/zlib/gz_istream.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/zlib/gz_ostream.h b/tools/SampleAnalyzer/Interfaces/zlib/gz_ostream.h index 3cccf980..0e196ab3 100644 --- a/tools/SampleAnalyzer/Interfaces/zlib/gz_ostream.h +++ b/tools/SampleAnalyzer/Interfaces/zlib/gz_ostream.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/zlib/gz_streambase.cpp b/tools/SampleAnalyzer/Interfaces/zlib/gz_streambase.cpp index 8983f9af..d1f3dc81 100644 --- a/tools/SampleAnalyzer/Interfaces/zlib/gz_streambase.cpp +++ b/tools/SampleAnalyzer/Interfaces/zlib/gz_streambase.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Interfaces/zlib/gz_streambase.h b/tools/SampleAnalyzer/Interfaces/zlib/gz_streambase.h index 8d3d6aa3..7b929be8 100644 --- a/tools/SampleAnalyzer/Interfaces/zlib/gz_streambase.h +++ b/tools/SampleAnalyzer/Interfaces/zlib/gz_streambase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Analyzer/AnalyzerBase.h b/tools/SampleAnalyzer/Process/Analyzer/AnalyzerBase.h index e44f29c8..cef7dcf4 100644 --- a/tools/SampleAnalyzer/Process/Analyzer/AnalyzerBase.h +++ b/tools/SampleAnalyzer/Process/Analyzer/AnalyzerBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Analyzer/AnalyzerManager.cpp b/tools/SampleAnalyzer/Process/Analyzer/AnalyzerManager.cpp index 140c258b..2434df04 100644 --- a/tools/SampleAnalyzer/Process/Analyzer/AnalyzerManager.cpp +++ b/tools/SampleAnalyzer/Process/Analyzer/AnalyzerManager.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Analyzer/AnalyzerManager.h b/tools/SampleAnalyzer/Process/Analyzer/AnalyzerManager.h index aed9cb91..508696df 100644 --- a/tools/SampleAnalyzer/Process/Analyzer/AnalyzerManager.h +++ b/tools/SampleAnalyzer/Process/Analyzer/AnalyzerManager.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Analyzer/MergingPlots.cpp b/tools/SampleAnalyzer/Process/Analyzer/MergingPlots.cpp index cd00f5ef..5895cb96 100644 --- a/tools/SampleAnalyzer/Process/Analyzer/MergingPlots.cpp +++ b/tools/SampleAnalyzer/Process/Analyzer/MergingPlots.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Analyzer/MergingPlots.h b/tools/SampleAnalyzer/Process/Analyzer/MergingPlots.h index a8fc4e05..6a574c37 100644 --- a/tools/SampleAnalyzer/Process/Analyzer/MergingPlots.h +++ b/tools/SampleAnalyzer/Process/Analyzer/MergingPlots.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Core/ManagerBase.h b/tools/SampleAnalyzer/Process/Core/ManagerBase.h index e1da5079..dfdc87a0 100644 --- a/tools/SampleAnalyzer/Process/Core/ManagerBase.h +++ b/tools/SampleAnalyzer/Process/Core/ManagerBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Core/ProgressBar.cpp b/tools/SampleAnalyzer/Process/Core/ProgressBar.cpp index 35323723..b21f599b 100644 --- a/tools/SampleAnalyzer/Process/Core/ProgressBar.cpp +++ b/tools/SampleAnalyzer/Process/Core/ProgressBar.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Core/ProgressBar.h b/tools/SampleAnalyzer/Process/Core/ProgressBar.h index 45ba1b88..6b806363 100644 --- a/tools/SampleAnalyzer/Process/Core/ProgressBar.h +++ b/tools/SampleAnalyzer/Process/Core/ProgressBar.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Core/SampleAnalyzer.cpp b/tools/SampleAnalyzer/Process/Core/SampleAnalyzer.cpp index c6497bec..31cae98c 100644 --- a/tools/SampleAnalyzer/Process/Core/SampleAnalyzer.cpp +++ b/tools/SampleAnalyzer/Process/Core/SampleAnalyzer.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Core/SampleAnalyzer.h b/tools/SampleAnalyzer/Process/Core/SampleAnalyzer.h index fcff1f16..9217dbd1 100644 --- a/tools/SampleAnalyzer/Process/Core/SampleAnalyzer.h +++ b/tools/SampleAnalyzer/Process/Core/SampleAnalyzer.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Core/xdr_istream.cpp b/tools/SampleAnalyzer/Process/Core/xdr_istream.cpp index 898c18a4..63ef3c3b 100644 --- a/tools/SampleAnalyzer/Process/Core/xdr_istream.cpp +++ b/tools/SampleAnalyzer/Process/Core/xdr_istream.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Core/xdr_istream.h b/tools/SampleAnalyzer/Process/Core/xdr_istream.h index 7af2f628..351f9a20 100644 --- a/tools/SampleAnalyzer/Process/Core/xdr_istream.h +++ b/tools/SampleAnalyzer/Process/Core/xdr_istream.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Counter/Counter.h b/tools/SampleAnalyzer/Process/Counter/Counter.h index 0f3b9993..e5526906 100644 --- a/tools/SampleAnalyzer/Process/Counter/Counter.h +++ b/tools/SampleAnalyzer/Process/Counter/Counter.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Counter/CounterManager.cpp b/tools/SampleAnalyzer/Process/Counter/CounterManager.cpp index b3cb7fce..6ee6df2a 100644 --- a/tools/SampleAnalyzer/Process/Counter/CounterManager.cpp +++ b/tools/SampleAnalyzer/Process/Counter/CounterManager.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Counter/CounterManager.h b/tools/SampleAnalyzer/Process/Counter/CounterManager.h index 01dd8f18..212d71e1 100644 --- a/tools/SampleAnalyzer/Process/Counter/CounterManager.h +++ b/tools/SampleAnalyzer/Process/Counter/CounterManager.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Counter/MultiRegionCounter.h b/tools/SampleAnalyzer/Process/Counter/MultiRegionCounter.h index 8d02dfcd..566f7840 100644 --- a/tools/SampleAnalyzer/Process/Counter/MultiRegionCounter.h +++ b/tools/SampleAnalyzer/Process/Counter/MultiRegionCounter.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Counter/MultiRegionCounterManager.h b/tools/SampleAnalyzer/Process/Counter/MultiRegionCounterManager.h index 61489eed..39d12e16 100644 --- a/tools/SampleAnalyzer/Process/Counter/MultiRegionCounterManager.h +++ b/tools/SampleAnalyzer/Process/Counter/MultiRegionCounterManager.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Detector/DetectorManager.cpp b/tools/SampleAnalyzer/Process/Detector/DetectorManager.cpp index 6f56431e..cb27f45e 100644 --- a/tools/SampleAnalyzer/Process/Detector/DetectorManager.cpp +++ b/tools/SampleAnalyzer/Process/Detector/DetectorManager.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Detector/DetectorManager.h b/tools/SampleAnalyzer/Process/Detector/DetectorManager.h index 6b274de6..0c88d093 100644 --- a/tools/SampleAnalyzer/Process/Detector/DetectorManager.h +++ b/tools/SampleAnalyzer/Process/Detector/DetectorManager.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/JetClustering/JetClusterer.cpp b/tools/SampleAnalyzer/Process/JetClustering/JetClusterer.cpp index a71f6ad5..ef81d28b 100644 --- a/tools/SampleAnalyzer/Process/JetClustering/JetClusterer.cpp +++ b/tools/SampleAnalyzer/Process/JetClustering/JetClusterer.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/JetClustering/JetClusterer.h b/tools/SampleAnalyzer/Process/JetClustering/JetClusterer.h index 0165d213..ffd60eb8 100644 --- a/tools/SampleAnalyzer/Process/JetClustering/JetClusterer.h +++ b/tools/SampleAnalyzer/Process/JetClustering/JetClusterer.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/JetClustering/JetClustererManager.cpp b/tools/SampleAnalyzer/Process/JetClustering/JetClustererManager.cpp index 3977b23f..6b794d47 100644 --- a/tools/SampleAnalyzer/Process/JetClustering/JetClustererManager.cpp +++ b/tools/SampleAnalyzer/Process/JetClustering/JetClustererManager.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/JetClustering/JetClustererManager.h b/tools/SampleAnalyzer/Process/JetClustering/JetClustererManager.h index 7ebe57d5..78687acc 100644 --- a/tools/SampleAnalyzer/Process/JetClustering/JetClustererManager.h +++ b/tools/SampleAnalyzer/Process/JetClustering/JetClustererManager.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/JetClustering/NullSmearer.h b/tools/SampleAnalyzer/Process/JetClustering/NullSmearer.h index dbb7f7cb..7199b79f 100644 --- a/tools/SampleAnalyzer/Process/JetClustering/NullSmearer.h +++ b/tools/SampleAnalyzer/Process/JetClustering/NullSmearer.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/JetClustering/TauTagger.cpp b/tools/SampleAnalyzer/Process/JetClustering/TauTagger.cpp index 89f77e17..474e92c4 100644 --- a/tools/SampleAnalyzer/Process/JetClustering/TauTagger.cpp +++ b/tools/SampleAnalyzer/Process/JetClustering/TauTagger.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/JetClustering/TauTagger.h b/tools/SampleAnalyzer/Process/JetClustering/TauTagger.h index 2560869e..bc3385cf 100644 --- a/tools/SampleAnalyzer/Process/JetClustering/TauTagger.h +++ b/tools/SampleAnalyzer/Process/JetClustering/TauTagger.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/JetClustering/bTagger.cpp b/tools/SampleAnalyzer/Process/JetClustering/bTagger.cpp index be31c81b..4cddcc76 100644 --- a/tools/SampleAnalyzer/Process/JetClustering/bTagger.cpp +++ b/tools/SampleAnalyzer/Process/JetClustering/bTagger.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/JetClustering/bTagger.h b/tools/SampleAnalyzer/Process/JetClustering/bTagger.h index aa1417d8..774db4b3 100644 --- a/tools/SampleAnalyzer/Process/JetClustering/bTagger.h +++ b/tools/SampleAnalyzer/Process/JetClustering/bTagger.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/JetClustering/cTagger.cpp b/tools/SampleAnalyzer/Process/JetClustering/cTagger.cpp index 8042cf42..c03ac1bd 100644 --- a/tools/SampleAnalyzer/Process/JetClustering/cTagger.cpp +++ b/tools/SampleAnalyzer/Process/JetClustering/cTagger.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/JetClustering/cTagger.h b/tools/SampleAnalyzer/Process/JetClustering/cTagger.h index 5559f797..5876477e 100644 --- a/tools/SampleAnalyzer/Process/JetClustering/cTagger.h +++ b/tools/SampleAnalyzer/Process/JetClustering/cTagger.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Plot/Histo.cpp b/tools/SampleAnalyzer/Process/Plot/Histo.cpp index f9ef761d..2ee293f3 100644 --- a/tools/SampleAnalyzer/Process/Plot/Histo.cpp +++ b/tools/SampleAnalyzer/Process/Plot/Histo.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Plot/Histo.h b/tools/SampleAnalyzer/Process/Plot/Histo.h index 4b08e0bd..55d178a8 100644 --- a/tools/SampleAnalyzer/Process/Plot/Histo.h +++ b/tools/SampleAnalyzer/Process/Plot/Histo.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Plot/HistoFrequency.h b/tools/SampleAnalyzer/Process/Plot/HistoFrequency.h index e654154f..f4f595b5 100644 --- a/tools/SampleAnalyzer/Process/Plot/HistoFrequency.h +++ b/tools/SampleAnalyzer/Process/Plot/HistoFrequency.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Plot/HistoLogX.cpp b/tools/SampleAnalyzer/Process/Plot/HistoLogX.cpp index 54d025bc..170e68ab 100644 --- a/tools/SampleAnalyzer/Process/Plot/HistoLogX.cpp +++ b/tools/SampleAnalyzer/Process/Plot/HistoLogX.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Plot/HistoLogX.h b/tools/SampleAnalyzer/Process/Plot/HistoLogX.h index 8f992bc8..0ac6b902 100644 --- a/tools/SampleAnalyzer/Process/Plot/HistoLogX.h +++ b/tools/SampleAnalyzer/Process/Plot/HistoLogX.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Plot/MergingPlotType.cpp b/tools/SampleAnalyzer/Process/Plot/MergingPlotType.cpp index 337b3817..3546c42d 100644 --- a/tools/SampleAnalyzer/Process/Plot/MergingPlotType.cpp +++ b/tools/SampleAnalyzer/Process/Plot/MergingPlotType.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Plot/MergingPlotType.h b/tools/SampleAnalyzer/Process/Plot/MergingPlotType.h index 34a4e624..aeebec12 100644 --- a/tools/SampleAnalyzer/Process/Plot/MergingPlotType.h +++ b/tools/SampleAnalyzer/Process/Plot/MergingPlotType.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Plot/PlotBase.h b/tools/SampleAnalyzer/Process/Plot/PlotBase.h index ea7b203e..1f450f51 100644 --- a/tools/SampleAnalyzer/Process/Plot/PlotBase.h +++ b/tools/SampleAnalyzer/Process/Plot/PlotBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Plot/PlotManager.cpp b/tools/SampleAnalyzer/Process/Plot/PlotManager.cpp index 1e8d52b6..3c190d76 100644 --- a/tools/SampleAnalyzer/Process/Plot/PlotManager.cpp +++ b/tools/SampleAnalyzer/Process/Plot/PlotManager.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Plot/PlotManager.h b/tools/SampleAnalyzer/Process/Plot/PlotManager.h index 90a1d987..a176aa21 100644 --- a/tools/SampleAnalyzer/Process/Plot/PlotManager.h +++ b/tools/SampleAnalyzer/Process/Plot/PlotManager.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Reader/HEPMCReader.cpp b/tools/SampleAnalyzer/Process/Reader/HEPMCReader.cpp index 6825bc58..e823d020 100644 --- a/tools/SampleAnalyzer/Process/Reader/HEPMCReader.cpp +++ b/tools/SampleAnalyzer/Process/Reader/HEPMCReader.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Reader/HEPMCReader.h b/tools/SampleAnalyzer/Process/Reader/HEPMCReader.h index 1e9e594d..dc5f78c1 100644 --- a/tools/SampleAnalyzer/Process/Reader/HEPMCReader.h +++ b/tools/SampleAnalyzer/Process/Reader/HEPMCReader.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Reader/LHCOReader.cpp b/tools/SampleAnalyzer/Process/Reader/LHCOReader.cpp index 929ee67e..55d26fc6 100644 --- a/tools/SampleAnalyzer/Process/Reader/LHCOReader.cpp +++ b/tools/SampleAnalyzer/Process/Reader/LHCOReader.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Reader/LHCOReader.h b/tools/SampleAnalyzer/Process/Reader/LHCOReader.h index 8908ce93..188407d5 100644 --- a/tools/SampleAnalyzer/Process/Reader/LHCOReader.h +++ b/tools/SampleAnalyzer/Process/Reader/LHCOReader.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Reader/LHEReader.cpp b/tools/SampleAnalyzer/Process/Reader/LHEReader.cpp index d3bed1a6..1961843d 100644 --- a/tools/SampleAnalyzer/Process/Reader/LHEReader.cpp +++ b/tools/SampleAnalyzer/Process/Reader/LHEReader.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Reader/LHEReader.h b/tools/SampleAnalyzer/Process/Reader/LHEReader.h index e655ad98..12b0aedd 100644 --- a/tools/SampleAnalyzer/Process/Reader/LHEReader.h +++ b/tools/SampleAnalyzer/Process/Reader/LHEReader.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Reader/ReaderManager.cpp b/tools/SampleAnalyzer/Process/Reader/ReaderManager.cpp index 42b19ac2..d4f7faa1 100644 --- a/tools/SampleAnalyzer/Process/Reader/ReaderManager.cpp +++ b/tools/SampleAnalyzer/Process/Reader/ReaderManager.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Reader/ReaderManager.h b/tools/SampleAnalyzer/Process/Reader/ReaderManager.h index 5001d3cc..c849b8b2 100644 --- a/tools/SampleAnalyzer/Process/Reader/ReaderManager.h +++ b/tools/SampleAnalyzer/Process/Reader/ReaderManager.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Reader/ReaderTextBase.cpp b/tools/SampleAnalyzer/Process/Reader/ReaderTextBase.cpp index 6708d71d..fe8c6dca 100644 --- a/tools/SampleAnalyzer/Process/Reader/ReaderTextBase.cpp +++ b/tools/SampleAnalyzer/Process/Reader/ReaderTextBase.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Reader/ReaderTextBase.h b/tools/SampleAnalyzer/Process/Reader/ReaderTextBase.h index 8cd61124..d11ae0cf 100644 --- a/tools/SampleAnalyzer/Process/Reader/ReaderTextBase.h +++ b/tools/SampleAnalyzer/Process/Reader/ReaderTextBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Reader/STDHEPreader.cpp b/tools/SampleAnalyzer/Process/Reader/STDHEPreader.cpp index 3202c81f..f639c1d2 100644 --- a/tools/SampleAnalyzer/Process/Reader/STDHEPreader.cpp +++ b/tools/SampleAnalyzer/Process/Reader/STDHEPreader.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Reader/STDHEPreader.h b/tools/SampleAnalyzer/Process/Reader/STDHEPreader.h index 3f60a7e0..fd714401 100644 --- a/tools/SampleAnalyzer/Process/Reader/STDHEPreader.h +++ b/tools/SampleAnalyzer/Process/Reader/STDHEPreader.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/RegionSelection/RegionSelection.cpp b/tools/SampleAnalyzer/Process/RegionSelection/RegionSelection.cpp index 4cad85e7..9e144737 100644 --- a/tools/SampleAnalyzer/Process/RegionSelection/RegionSelection.cpp +++ b/tools/SampleAnalyzer/Process/RegionSelection/RegionSelection.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/RegionSelection/RegionSelection.h b/tools/SampleAnalyzer/Process/RegionSelection/RegionSelection.h index 184b8deb..ca07ad6a 100644 --- a/tools/SampleAnalyzer/Process/RegionSelection/RegionSelection.h +++ b/tools/SampleAnalyzer/Process/RegionSelection/RegionSelection.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/RegionSelection/RegionSelectionManager.cpp b/tools/SampleAnalyzer/Process/RegionSelection/RegionSelectionManager.cpp index a9f858d8..5136529d 100644 --- a/tools/SampleAnalyzer/Process/RegionSelection/RegionSelectionManager.cpp +++ b/tools/SampleAnalyzer/Process/RegionSelection/RegionSelectionManager.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/RegionSelection/RegionSelectionManager.h b/tools/SampleAnalyzer/Process/RegionSelection/RegionSelectionManager.h index 39cd2a82..d7b82b0d 100644 --- a/tools/SampleAnalyzer/Process/RegionSelection/RegionSelectionManager.h +++ b/tools/SampleAnalyzer/Process/RegionSelection/RegionSelectionManager.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/LHCOParticleFormat.cpp b/tools/SampleAnalyzer/Process/Writer/LHCOParticleFormat.cpp index ecc00757..99faf600 100644 --- a/tools/SampleAnalyzer/Process/Writer/LHCOParticleFormat.cpp +++ b/tools/SampleAnalyzer/Process/Writer/LHCOParticleFormat.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/LHCOParticleFormat.h b/tools/SampleAnalyzer/Process/Writer/LHCOParticleFormat.h index 9f297cf0..dffe22df 100644 --- a/tools/SampleAnalyzer/Process/Writer/LHCOParticleFormat.h +++ b/tools/SampleAnalyzer/Process/Writer/LHCOParticleFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/LHCOWriter.cpp b/tools/SampleAnalyzer/Process/Writer/LHCOWriter.cpp index de1b0b2c..63c66b92 100644 --- a/tools/SampleAnalyzer/Process/Writer/LHCOWriter.cpp +++ b/tools/SampleAnalyzer/Process/Writer/LHCOWriter.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/LHCOWriter.h b/tools/SampleAnalyzer/Process/Writer/LHCOWriter.h index e647c15e..f7d90154 100644 --- a/tools/SampleAnalyzer/Process/Writer/LHCOWriter.h +++ b/tools/SampleAnalyzer/Process/Writer/LHCOWriter.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/LHEParticleFormat.cpp b/tools/SampleAnalyzer/Process/Writer/LHEParticleFormat.cpp index 31a11040..64eeb591 100644 --- a/tools/SampleAnalyzer/Process/Writer/LHEParticleFormat.cpp +++ b/tools/SampleAnalyzer/Process/Writer/LHEParticleFormat.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/LHEParticleFormat.h b/tools/SampleAnalyzer/Process/Writer/LHEParticleFormat.h index a9fb0621..6de09773 100644 --- a/tools/SampleAnalyzer/Process/Writer/LHEParticleFormat.h +++ b/tools/SampleAnalyzer/Process/Writer/LHEParticleFormat.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/LHEWriter.cpp b/tools/SampleAnalyzer/Process/Writer/LHEWriter.cpp index add6b44c..aefd2f53 100644 --- a/tools/SampleAnalyzer/Process/Writer/LHEWriter.cpp +++ b/tools/SampleAnalyzer/Process/Writer/LHEWriter.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/LHEWriter.h b/tools/SampleAnalyzer/Process/Writer/LHEWriter.h index 7d7ae6ea..5348ddfb 100644 --- a/tools/SampleAnalyzer/Process/Writer/LHEWriter.h +++ b/tools/SampleAnalyzer/Process/Writer/LHEWriter.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/SAFWriter.cpp b/tools/SampleAnalyzer/Process/Writer/SAFWriter.cpp index a3166892..1ba72cfa 100644 --- a/tools/SampleAnalyzer/Process/Writer/SAFWriter.cpp +++ b/tools/SampleAnalyzer/Process/Writer/SAFWriter.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/SAFWriter.h b/tools/SampleAnalyzer/Process/Writer/SAFWriter.h index 3d29e5f7..d20fc1f5 100644 --- a/tools/SampleAnalyzer/Process/Writer/SAFWriter.h +++ b/tools/SampleAnalyzer/Process/Writer/SAFWriter.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/WriterBase.h b/tools/SampleAnalyzer/Process/Writer/WriterBase.h index 3dbe057c..aecc3483 100644 --- a/tools/SampleAnalyzer/Process/Writer/WriterBase.h +++ b/tools/SampleAnalyzer/Process/Writer/WriterBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/WriterManager.cpp b/tools/SampleAnalyzer/Process/Writer/WriterManager.cpp index 02443bc2..893ab2b6 100644 --- a/tools/SampleAnalyzer/Process/Writer/WriterManager.cpp +++ b/tools/SampleAnalyzer/Process/Writer/WriterManager.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/WriterManager.h b/tools/SampleAnalyzer/Process/Writer/WriterManager.h index c82838f3..5b024b7e 100644 --- a/tools/SampleAnalyzer/Process/Writer/WriterManager.h +++ b/tools/SampleAnalyzer/Process/Writer/WriterManager.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/WriterTextBase.cpp b/tools/SampleAnalyzer/Process/Writer/WriterTextBase.cpp index be81ee37..f3f232b2 100644 --- a/tools/SampleAnalyzer/Process/Writer/WriterTextBase.cpp +++ b/tools/SampleAnalyzer/Process/Writer/WriterTextBase.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Process/Writer/WriterTextBase.h b/tools/SampleAnalyzer/Process/Writer/WriterTextBase.h index d9a27730..561f75f1 100644 --- a/tools/SampleAnalyzer/Process/Writer/WriterTextBase.h +++ b/tools/SampleAnalyzer/Process/Writer/WriterTextBase.h @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Test/Commons/Test.cpp b/tools/SampleAnalyzer/Test/Commons/Test.cpp index cde58031..0aac6434 100644 --- a/tools/SampleAnalyzer/Test/Commons/Test.cpp +++ b/tools/SampleAnalyzer/Test/Commons/Test.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Test/Delphes/Test.cpp b/tools/SampleAnalyzer/Test/Delphes/Test.cpp index f9926a9c..c4104cad 100644 --- a/tools/SampleAnalyzer/Test/Delphes/Test.cpp +++ b/tools/SampleAnalyzer/Test/Delphes/Test.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Test/DelphesMA5tune/Test.cpp b/tools/SampleAnalyzer/Test/DelphesMA5tune/Test.cpp index b6e8520d..c7980438 100644 --- a/tools/SampleAnalyzer/Test/DelphesMA5tune/Test.cpp +++ b/tools/SampleAnalyzer/Test/DelphesMA5tune/Test.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Test/Fastjet/Test.cpp b/tools/SampleAnalyzer/Test/Fastjet/Test.cpp index 4d4fd016..38d2b900 100644 --- a/tools/SampleAnalyzer/Test/Fastjet/Test.cpp +++ b/tools/SampleAnalyzer/Test/Fastjet/Test.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Test/Multithread/test.cpp b/tools/SampleAnalyzer/Test/Multithread/test.cpp index 5da87477..4dc6b374 100644 --- a/tools/SampleAnalyzer/Test/Multithread/test.cpp +++ b/tools/SampleAnalyzer/Test/Multithread/test.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Test/Process/Test.cpp b/tools/SampleAnalyzer/Test/Process/Test.cpp index d774f388..72a73de6 100644 --- a/tools/SampleAnalyzer/Test/Process/Test.cpp +++ b/tools/SampleAnalyzer/Test/Process/Test.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Test/Root/Test.cpp b/tools/SampleAnalyzer/Test/Root/Test.cpp index 1007acad..7a530849 100644 --- a/tools/SampleAnalyzer/Test/Root/Test.cpp +++ b/tools/SampleAnalyzer/Test/Root/Test.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/Test/Zlib/Test.cpp b/tools/SampleAnalyzer/Test/Zlib/Test.cpp index 6d814a07..7cc7562c 100644 --- a/tools/SampleAnalyzer/Test/Zlib/Test.cpp +++ b/tools/SampleAnalyzer/Test/Zlib/Test.cpp @@ -1,6 +1,6 @@ //////////////////////////////////////////////////////////////////////////////// // -// Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +// Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks // The MadAnalysis development team, email: // // This file is part of MadAnalysis 5. From 3e55b1df77a351635bbb5016118fa43f1f1cb8fd Mon Sep 17 00:00:00 2001 From: BFuks Date: Thu, 2 Apr 2026 09:01:03 +0200 Subject: [PATCH 6/7] new validation module --- bin/ma5 | 2 +- doc/releases/changelog-v1.11.md | 3 +- validation/HistoChecks.py | 341 ++++++++++++++++++++++++++++++++ 3 files changed, 344 insertions(+), 2 deletions(-) create mode 100644 validation/HistoChecks.py diff --git a/bin/ma5 b/bin/ma5 index a0e912c8..5ddf1616 100755 --- a/bin/ma5 +++ b/bin/ma5 @@ -2,7 +2,7 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/doc/releases/changelog-v1.11.md b/doc/releases/changelog-v1.11.md index 7766fe57..109ca2bc 100644 --- a/doc/releases/changelog-v1.11.md +++ b/doc/releases/changelog-v1.11.md @@ -7,9 +7,10 @@ ## Improvements * Statistical inference has been moved to Spey +* The validation module has been rebranded (for now) ## Bug fixes -* Bug fix in the HistFrequency module +* Bug fix in the HistFrequency module of SampleAnalyzer (The first time an entry was found, it was not added to the histo) ## Contributors diff --git a/validation/HistoChecks.py b/validation/HistoChecks.py new file mode 100644 index 00000000..b7ec9f4e --- /dev/null +++ b/validation/HistoChecks.py @@ -0,0 +1,341 @@ +#!/usr/bin/env python3 + +################################################################################ +# +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks +# The MadAnalysis development team, email: +# +# This file is part of MadAnalysis 5. +# Official website: +# +# MadAnalysis 5 is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. +# +# MadAnalysis 5 is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with MadAnalysis 5. If not, see +# +################################################################################ + +"""Comparison of two MA5 histogram SAF files + +This script supports two workflows. + +1. Direct comparison mode + Compare a reference ``histos.saf`` file against a produced histogram file. + + Usage: + python HistoChecks.py compare + +2. Run-and-compare mode + Given a validation name ``NAME`` + - check that ``scripts/NAME.ma5`` exists, + - run ``./bin/ma5 -s scripts/NAME.ma5`` from the MA5 home directory, + - detect the newly created ``ANALYSIS_X`` directory, + - compare its histogram output against ``outputs/NAME.saf``. + + Usage: + python HistoChecks.py run + +The comparison is based on the *bin content* only. For each line of a SAF + block, the bin content is defined as the sum of the first two columns, +which correspond to the sum of the positive-weight and negative-weight +contributions. +""" + +from __future__ import annotations + +import argparse +import math +import os +import subprocess +import sys +from pathlib import Path +from typing import List, Sequence, Tuple + +# --------------------------------------------------------------------------- +# Configuration +# --------------------------------------------------------------------------- +ABS_TOL = 1e-7 +REL_TOL = 1e-5 +THRESHOLD_ORANGE = 1e-12 +THRESHOLD_RED = 1e-6 +DEFAULT_MAX_BINS_TO_PRINT = 12 + +# ANSI colors for terminal output. +RED = "\033[91m" +ORANGE = "\033[93m" +GREEN = "\033[92m" +BOLD = "\033[1m" +RESET = "\033[0m" + + +# --------------------------------------------------------------------------- +# SAF parsing +# --------------------------------------------------------------------------- +def extract_bin_values(path: Path) -> List[Tuple[str | None, List[float]]]: + """Extract histogram names and bin contents from a SAF histogram file. + + Each histogram is represented by a tuple ``(name, bins)`` where ``bins`` is + the list of bin contents. The bin content is defined as + ``positive_weight + negative_weight`` from the first two columns of each + line in a ```` block. + """ + histos: List[Tuple[str | None, List[float]]] = [] + current_name: str | None = None + in_description = False + in_data = False + current_bins: List[float] = [] + + with path.open() as handle: + for raw_line in handle: + line = raw_line.strip() + + if line == "": + in_description = True + current_name = None + continue + if line == "": + in_description = False + continue + if line == "": + in_data = True + current_bins = [] + continue + if line == "": + in_data = False + histos.append((current_name, current_bins)) + continue + + if in_description and current_name is None: + if line.startswith('"') and line.endswith('"'): + current_name = line.strip('"') + continue + + if in_data: + # Remove inline comments. + if "#" in line: + line = line.split("#", 1)[0].strip() + + # Safety + if not line: continue + parts = line.split() + if len(parts) < 2: continue + + # Data + positive = float(parts[0]) + negative = float(parts[1]) + current_bins.append(positive + negative) + + return histos + + +# --------------------------------------------------------------------------- +# Histogram comparison +# --------------------------------------------------------------------------- +def compare_histos( file1: Path, file2: Path, max_bins_to_print: int = DEFAULT_MAX_BINS_TO_PRINT) -> Tuple[bool, List[str]]: + """Compare two SAF histogram files. + + Returns ``(all_ok, reports)`` where ``reports`` only contains human-readable + blocks for histograms with significant differences. + """ + + # Data massaging + histos1 = extract_bin_values(file1) + histos2 = extract_bin_values(file2) + + # Safety + if len(histos1) != len(histos2): return False, [ f"Different number of histograms: {len(histos1)} vs {len(histos2)}" ] + + # Initialisation + reports: List[str] = [] + all_ok = True + + # Main method + for (name1, bins1), (name2, bins2) in zip(histos1, histos2): + if name1 != name2: + reports.append(f'Histogram name mismatch: "{name1}" vs "{name2}"') + all_ok = False + continue + + if len(bins1) != len(bins2): + reports.append(f'Histogram "{name1}": different number of bins: {len(bins1)} vs {len(bins2)}') + all_ok = False + continue + + diffs: List[Tuple[int, float, float, float, float]] = [] + significant_diffs: List[Tuple[int, float, float, float, float]] = [] + max_abs = 0.0 + max_rel = 0.0 + worst_bin = -1 + + for ibin, (value1, value2) in enumerate(zip(bins1, bins2)): + abs_diff = abs(value1 - value2) + rel_diff = abs_diff / max(abs(value1), abs(value2), 1e-300) + + if abs_diff > max_abs: + max_abs = abs_diff + max_rel = rel_diff + worst_bin = ibin + + if not math.isclose(value1, value2, rel_tol=REL_TOL, abs_tol=ABS_TOL): diffs.append((ibin, value1, value2, abs_diff, rel_diff)) + if abs_diff > ABS_TOL and rel_diff > REL_TOL: significant_diffs.append((ibin, value1, value2, abs_diff, rel_diff)) + + # Only report histograms with at least one *significant* differing bin. + if significant_diffs: + all_ok = False + + lines: List[str] = [] + lines.append(f" Histogram: {name1}") + lines.append(f" differing bins : {len(diffs)}") + lines.append(f" worst bin : {worst_bin}") + lines.append(f" max abs diff : {max_abs:.3e}") + lines.append(f" max rel diff : {max_rel:.3e}") + lines.append(f" shown bins : {min(len(significant_diffs), max_bins_to_print)}/{len(significant_diffs)}") + + for ibin, value1, value2, abs_diff, rel_diff in significant_diffs[:max_bins_to_print]: + if rel_diff > THRESHOLD_RED: color = RED + elif rel_diff > THRESHOLD_ORANGE: color = ORANGE + else: color = RESET + + if ibin == 0: label = "underflow" + elif ibin == len(bins1) - 1: label = "overflow " + else: label = f"bin {ibin:4d}" + + lines.append(f"{color} {label}: {value1:.6e} vs {value2:.6e} (abs={abs_diff:.2e}, rel={rel_diff:.2e}){RESET}") + + if len(significant_diffs) > max_bins_to_print: lines.append(f" ... {len(significant_diffs) - max_bins_to_print} more differing bins") + + reports.append("\n".join(lines)) + + return all_ok, reports + + +# --------------------------------------------------------------------------- +# MA5 helpers +# --------------------------------------------------------------------------- +def find_new_analysis_dir(ma5dir: Path, before: Sequence[str]) -> Path: + """Return the newly created ``ANALYSIS_X`` directory. + + The MA5 run creates the first available ``ANALYSIS_X`` directory. We detect + it by comparing the directory list before and after the run. + """ + after = {p.name for p in ma5dir.iterdir() if p.is_dir() and p.name.startswith("ANALYSIS_")} + new_dirs = sorted(after - set(before)) + if len(new_dirs) != 1: + raise RuntimeError( + "Could not uniquely identify the new ANALYSIS_X directory. " + f"Found new directories: {new_dirs}" + ) + return ma5dir / new_dirs[0] + + +def find_dataset_histo_file(analysis_dir: Path) -> Path: + saf_dir = analysis_dir / "Output" / "SAF" + if not saf_dir.is_dir(): raise FileNotFoundError(f"Missing SAF directory: {saf_dir}") + + candidates = [] + for d in sorted(saf_dir.iterdir()): + if not d.is_dir(): continue + histo = d / "MadAnalysis5job_0" / "Histograms" / "histos.saf" + if histo.is_file(): candidates.append(histo) + + if len(candidates) == 0: raise FileNotFoundError(f"No histos.saf found under {saf_dir}") + if len(candidates) > 1:raise RuntimeError("Ambiguous output: several dataset histogram files found:\n " + "\n ".join(str(x) for x in candidates)) + + return candidates[0] + +def run_ma5_script(name: str, ma5dir: Path) -> Tuple[Path, Path]: + """Run ``scripts/.ma5`` inside ``ma5dir`` and return file paths. + + Returns ``(reference_histo_file, produced_histo_file)``. + """ + script_path = ma5dir / "validation/scripts" / f"{name}.ma5" + if not script_path.exists(): raise FileNotFoundError(f"Missing MA5 script: {script_path}") + + reference_path = ma5dir / "validation/outputs" / f"{name}.saf" + if not reference_path.exists(): raise FileNotFoundError(f"Missing reference histogram file: {reference_path}") + + before = [p.name for p in ma5dir.iterdir() if p.is_dir() and p.name.startswith("ANALYSIS_")] + + cmd = ["./bin/ma5", "-s", str(script_path.relative_to(ma5dir))] + result = subprocess.run(cmd, cwd=ma5dir, text=True) + if result.returncode != 0: raise RuntimeError(f"MA5 execution failed with exit code {result.returncode}") + + analysis_dir = find_new_analysis_dir(ma5dir, before) + produced_histos = find_dataset_histo_file(analysis_dir) + if not produced_histos.exists(): raise FileNotFoundError(f"Produced histogram file not found: {produced_histos}") + + return reference_path, produced_histos + + +# --------------------------------------------------------------------------- +# CLI +# --------------------------------------------------------------------------- +def build_parser() -> argparse.ArgumentParser: + """Create the command-line parser.""" + parser = argparse.ArgumentParser(description="Compare MA5 histogram SAF files.") + subparsers = parser.add_subparsers(dest="mode", required=True) + + compare_parser = subparsers.add_parser("compare", help="Compare two explicit SAF histogram files.") + compare_parser.add_argument("reference", type=Path, help="Reference histos.saf file") + compare_parser.add_argument("produced", type=Path, help="Produced histos.saf file") + compare_parser.add_argument("--max-bins", type=int, default=DEFAULT_MAX_BINS_TO_PRINT, help="Maximum number of differing bins printed per histogram.") + + run_parser = subparsers.add_parser("run", + help=( + "Run scripts/.ma5 in the given MA5 directory, detect the newly " + "created ANALYSIS_X directory, and compare its histograms against " + "outputs/.saf." + ) + ) + run_parser.add_argument("name", help="Base name of the MA5 script (without .ma5)") + run_parser.add_argument("--max-bins", type=int, default=DEFAULT_MAX_BINS_TO_PRINT, help="Maximum number of differing bins printed per histogram.") + + return parser + + + +def main() -> int: + """Program entry point.""" + parser = build_parser() + args = parser.parse_args() + + try: + if args.mode == "compare": + reference = args.reference.resolve() + produced = args.produced.resolve() + elif args.mode == "run": + ma5dir = Path.cwd().parent.resolve() + reference, produced = run_ma5_script(args.name, ma5dir) + print(f"{BOLD}Reference:{RESET} {reference}") + print(f"{BOLD}Produced :{RESET} {produced}") + else: + parser.error("Unknown mode") + return 1 + + ok, reports = compare_histos(reference, produced, max_bins_to_print=args.max_bins) + + if ok: + print(f"{GREEN}No significant histogram differences found.{RESET}") + return 0 + + print(f"{RED}Histogram differences found:{RESET}") + for report in reports: + print(report) + print() + return 2 + + except Exception as exc: # pragma: no cover - top-level CLI safeguard + print(f"{RED}Error:{RESET} {exc}", file=sys.stderr) + return 1 + + +if __name__ == "__main__": + sys.exit(main()) From b5e25df1206819389b1e1aa0231c6d7b4cd80d7b Mon Sep 17 00:00:00 2001 From: BFuks Date: Thu, 2 Apr 2026 09:12:10 +0200 Subject: [PATCH 7/7] changing 2012-2025 to 2012-2026 --- tools/ReportGenerator/Core/job_reader.py | 2 +- tools/ReportGenerator/Core/layout.py | 2 +- tools/ReportGenerator/Core/main.py | 2 +- tools/ReportGenerator/Services/chronometer.py | 2 +- tools/ReportGenerator/Services/colored_log.py | 2 +- tools/ReportGenerator/Services/fom_type.py | 2 +- tools/ReportGenerator/Services/shell_command.py | 2 +- tools/ReportGenerator/Services/string_tools.py | 2 +- tools/SampleAnalyzer/newAnalyzer.py | 2 +- 9 files changed, 9 insertions(+), 9 deletions(-) diff --git a/tools/ReportGenerator/Core/job_reader.py b/tools/ReportGenerator/Core/job_reader.py index 4aa96f5e..136a6d20 100644 --- a/tools/ReportGenerator/Core/job_reader.py +++ b/tools/ReportGenerator/Core/job_reader.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/tools/ReportGenerator/Core/layout.py b/tools/ReportGenerator/Core/layout.py index 881c8e1c..e362b7b2 100644 --- a/tools/ReportGenerator/Core/layout.py +++ b/tools/ReportGenerator/Core/layout.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/tools/ReportGenerator/Core/main.py b/tools/ReportGenerator/Core/main.py index 4e81e8ac..35a47df8 100644 --- a/tools/ReportGenerator/Core/main.py +++ b/tools/ReportGenerator/Core/main.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/tools/ReportGenerator/Services/chronometer.py b/tools/ReportGenerator/Services/chronometer.py index f9fe051d..384b0e60 100644 --- a/tools/ReportGenerator/Services/chronometer.py +++ b/tools/ReportGenerator/Services/chronometer.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/tools/ReportGenerator/Services/colored_log.py b/tools/ReportGenerator/Services/colored_log.py index 850b8744..50797d35 100644 --- a/tools/ReportGenerator/Services/colored_log.py +++ b/tools/ReportGenerator/Services/colored_log.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/tools/ReportGenerator/Services/fom_type.py b/tools/ReportGenerator/Services/fom_type.py index b399b5ef..fb1b1444 100644 --- a/tools/ReportGenerator/Services/fom_type.py +++ b/tools/ReportGenerator/Services/fom_type.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/tools/ReportGenerator/Services/shell_command.py b/tools/ReportGenerator/Services/shell_command.py index 85b5bc7d..6408308f 100644 --- a/tools/ReportGenerator/Services/shell_command.py +++ b/tools/ReportGenerator/Services/shell_command.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/tools/ReportGenerator/Services/string_tools.py b/tools/ReportGenerator/Services/string_tools.py index 82728610..30622ff6 100644 --- a/tools/ReportGenerator/Services/string_tools.py +++ b/tools/ReportGenerator/Services/string_tools.py @@ -1,6 +1,6 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5. diff --git a/tools/SampleAnalyzer/newAnalyzer.py b/tools/SampleAnalyzer/newAnalyzer.py index ff643da6..1cebf146 100755 --- a/tools/SampleAnalyzer/newAnalyzer.py +++ b/tools/SampleAnalyzer/newAnalyzer.py @@ -2,7 +2,7 @@ ################################################################################ # -# Copyright (C) 2012-2025 Jack Araz, Eric Conte & Benjamin Fuks +# Copyright (C) 2012-2026 Jack Araz, Eric Conte & Benjamin Fuks # The MadAnalysis development team, email: # # This file is part of MadAnalysis 5.

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