mu2e_trig_config

This package houses the configuration files used to run the art executables in the TDAQ system. The package also includes a python script used to generate the configuration files for the TDAQ art jobs starting from a single JSON file.

core

The main area houses a series of files used to configure the Online reconstruction and the trigger sequences:

• trigProducers.fcl: module instances of the producer modules used in the Online reconstruction
• trigSequences.fcl: sequences used in the trigger paths and Online reconstruction
• trigFilters.fcl : module instances of the filter modules used in the Online reconstruction
• trigServices.fcl : place holder for teh services used in the Online reco
• trigDigiInputEpilog.fcl: used only for Offline tests where the inout data are in a Digi format (not Fragments)

data

This directory contains the Menu configuration files that organize in a single JSON file the configuration of the several components needed to run the art-based steps of the TDAQ state machine: Online reconstruction, trigger selection, dataloggers, DQM

python

This directory houses the following scripts:

• generateMenuFromJSON.py: it creates the set of fcl files necessary to configure using the data/physMenu.json as input:
  1. the trigger sequences that use the tracker+calorimeter data: trigMenuPSConfig.fcl, trigMenu.fcl
  2. the trigger sequences that use the CRV (+possibly the Trk+Cal) data: aggMenuPSConfig.fcl, aggMenu.fcl
  3. the datalogger: trigLoggerConfig.fcl, trigLoggerMenu.fcl
  4. the lumiLogger: trigLumiLoggerConfig.fcl, trigLumiLoggerMenu.fcl It is also possible to specify only a specific event-mode in the trigger menu by using the option -evtMode; the possible options are: all, OnSpill and OffSpill. It is also possible to process a customized trigger-menu json file by using the option -mf.

An example of command line is the following: python mu2e_trig_config/python/generateMenuFromJSON.py -mf mu2e_trig_config/data/physMenu.json -o gen -evtMode all