Skip to content

[ITS] Anomalous clusters plots #2482

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
knopers8 merged 6 commits into from
Nov 28, 2024
Merged

[ITS] Anomalous clusters plots #2482

Show file tree
Hide file tree
Changes from 3 commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
d10841c
ITS - Anomalous clusters plots
nicolovalle Nov 21, 2024
fccba5e
ITS - Anomalous clusters plots
nicolovalle Nov 21, 2024
9c69133
fix typo in axis title
nicolovalle Nov 21, 2024
2ba02b0
minor
nicolovalle Nov 26, 2024
a5d68b0
Fix MacOS build errors
nicolovalle Nov 26, 2024
d3b4538
MacOS build failure: defininig constexpr arrays
nicolovalle Nov 27, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 5 additions & 1 deletion Modules/ITS/include/ITS/ITSClusterTask.h
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -92,11 +92,15 @@ class ITSClusterTask : public TaskInterface
std::shared_ptr<TH2DRatio> hAverageClusterOccupancySummaryOB[NLayer];
std::shared_ptr<TH2DRatio> hAverageClusterSizeSummaryOB[NLayer];

// Layer synnary
// Layer summary
TH1D* hClusterSizeLayerSummary[NLayer] = { nullptr };
TH1D* hClusterTopologyLayerSummary[NLayer] = { nullptr };
TH1D* hGroupedClusterSizeLayerSummary[NLayer] = { nullptr };

// Anomalies plots
TH2D* hLongClustersPerChip[3] = { nullptr };
TH2D* hMultPerChipWhenLongClusters[3] = { nullptr };

// General
TH2D* hClusterVsBunchCrossing = nullptr;
std::unique_ptr<TH2DRatio> mGeneralOccupancy = nullptr;
Expand Down
61 changes: 57 additions & 4 deletions Modules/ITS/src/ITSClusterTask.cxx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,10 @@ ITSClusterTask::~ITSClusterTask()
if (!mEnableLayers[iLayer])
continue;

if (iLayer < NLayerIB) {
delete hLongClustersPerChip[iLayer];
delete hMultPerChipWhenLongClusters[iLayer];
}
delete hClusterSizeLayerSummary[iLayer];
delete hClusterTopologyLayerSummary[iLayer];
delete hGroupedClusterSizeLayerSummary[iLayer];
Expand Down Expand Up @@ -137,8 +141,6 @@ void ITSClusterTask::monitorData(o2::framework::ProcessingContext& ctx)
auto clusPatternArr = ctx.inputs().get<gsl::span<unsigned char>>("patterns");
auto pattIt = clusPatternArr.begin();

int ChipIDprev = -1;

// Reset this histo to have the latest picture
hEmptyLaneFractionGlobal->Reset("ICES");

Expand All @@ -153,34 +155,44 @@ void ITSClusterTask::monitorData(o2::framework::ProcessingContext& ctx)
const auto& ROF = clusRofArr[iROF];
const auto bcdata = ROF.getBCData();
int nClustersForBunchCrossing = 0;
int nLongClusters[ChipBoundary[NLayerIB]] = { 0 };
int nHitsFromClusters[ChipBoundary[NLayerIB]] = { 0 }; // only IB is implemented at the moment

for (int icl = ROF.getFirstEntry(); icl < ROF.getFirstEntry() + ROF.getNEntries(); icl++) {

auto& cluster = clusArr[icl];
auto ChipID = cluster.getSensorID();
int ClusterID = cluster.getPatternID(); // used for normal (frequent) cluster shapes
int lay, sta, ssta, mod, chip, lane;

if (ChipID != ChipIDprev) {
if (ChipID != -1) { // TODO: is this needed?
mGeom->getChipId(ChipID, lay, sta, ssta, mod, chip);
mod = mod + (ssta * (mNHicPerStave[lay] / 2));
int chipIdLocal = (ChipID - ChipBoundary[lay]) % (14 * mNHicPerStave[lay]);
lane = (chipIdLocal % (14 * mNHicPerStave[lay])) / (14 / 2);
}
int npix = -1;
int colspan = -1;
int rowspan = -1;
int isGrouped = -1;

o2::math_utils::Point3D<float> locC; // local coordinates

if (ClusterID != o2::itsmft::CompCluster::InvalidPatternID) { // Normal (frequent) cluster shapes
if (!mDict->isGroup(ClusterID)) {
npix = mDict->getNpixels(ClusterID);
// to do: is there way other than calling the pattern?
colspan = mDict->getPattern(ClusterID).getColumnSpan();
rowspan = mDict->getPattern(ClusterID).getRowSpan();
if (mDoPublishDetailedSummary == 1) {
locC = mDict->getClusterCoordinates(cluster);
}
isGrouped = 0;
} else {
o2::itsmft::ClusterPattern patt(pattIt);
npix = patt.getNPixels();
colspan = patt.getColumnSpan();
rowspan = patt.getRowSpan();
if (mDoPublishDetailedSummary == 1) {
locC = mDict->getClusterCoordinates(cluster, patt, true);
}
Expand All @@ -190,6 +202,8 @@ void ITSClusterTask::monitorData(o2::framework::ProcessingContext& ctx)
} else { // invalid pattern
o2::itsmft::ClusterPattern patt(pattIt);
npix = patt.getNPixels();
colspan = patt.getColumnSpan();
rowspan = patt.getRowSpan();
isGrouped = 0;
if (mDoPublishDetailedSummary == 1) {
locC = mDict->getClusterCoordinates(cluster, patt, false);
Expand All @@ -200,6 +214,15 @@ void ITSClusterTask::monitorData(o2::framework::ProcessingContext& ctx)
nClustersForBunchCrossing++;
}

if (lay < NLayerIB) {
nHitsFromClusters[ChipID] += npix;
}

if (lay < NLayerIB && colspan > 127 && rowspan < 30) {
// definition of long cluster. 127 is driven by o2::itsmft::ClusterPattern::MaxColSpan = 128
nLongClusters[ChipID]++;
}

if (lay < NLayerIB) {
hAverageClusterOccupancySummaryIB[lay]->getNum()->Fill(chip, sta);
hAverageClusterSizeSummaryIB[lay]->getNum()->Fill(chip, sta, (double)npix);
Expand Down Expand Up @@ -249,6 +272,23 @@ void ITSClusterTask::monitorData(o2::framework::ProcessingContext& ctx)
}
}
hClusterVsBunchCrossing->Fill(bcdata.bc, nClustersForBunchCrossing); // we count only the number of clusters, not their sizes

// filling these anomaly plots once per ROF, ignoring chips w/o long clusters
for (int ichip = 0; ichip < ChipBoundary[NLayerIB]; ichip++) {

int nLong = nLongClusters[ichip] <= 20 ? nLongClusters[ichip] : 21;

if (nLong < 1) {
continue;
}

int ilayer = -1;
while (ichip >= ChipBoundary[ilayer + 1]) {
ilayer++;
}
hLongClustersPerChip[ilayer]->Fill(ichip, nLong);
hMultPerChipWhenLongClusters[ilayer]->Fill(ichip, nHitsFromClusters[ichip]);
}
}

if ((int)clusRofArr.size() > 0) {
Expand Down Expand Up @@ -364,6 +404,8 @@ void ITSClusterTask::reset()
hClusterTopologyLayerSummary[iLayer]->Reset();

if (iLayer < NLayerIB) {
hLongClustersPerChip[iLayer]->Reset();
hMultPerChipWhenLongClusters[iLayer]->Reset();
hAverageClusterOccupancySummaryIB[iLayer]->Reset();
hAverageClusterSizeSummaryIB[iLayer]->Reset();
if (mDoPublish1DSummary == 1) {
Expand Down Expand Up @@ -396,7 +438,7 @@ void ITSClusterTask::reset()

void ITSClusterTask::createAllHistos()
{
hClusterVsBunchCrossing = new TH2D("BunchCrossingIDvsClusters", "BunchCrossingIDvsClusters", nBCbins, 0, 4095, 100, 0, 1000);
hClusterVsBunchCrossing = new TH2D("BunchCrossingIDvsClusters", "BunchCrossingIDvsClusters", nBCbins, 0, 4095, 100, 0, 2000);
hClusterVsBunchCrossing->SetTitle("#clusters vs BC id for clusters with npix > 2");
addObject(hClusterVsBunchCrossing);
formatAxes(hClusterVsBunchCrossing, "Bunch Crossing ID", "Number of clusters with npix > 2 in ROF", 1, 1.10);
Expand All @@ -419,6 +461,17 @@ void ITSClusterTask::createAllHistos()
if (!mEnableLayers[iLayer])
continue;

if (iLayer < NLayerIB) {
hLongClustersPerChip[iLayer] = new TH2D(Form("Anomalies/Layer%d/LongClusters", iLayer), Form("Layer%d/LongClusters", iLayer), ChipBoundary[iLayer + 1] - ChipBoundary[iLayer], ChipBoundary[iLayer], ChipBoundary[iLayer + 1], 21, 0, 21);
hMultPerChipWhenLongClusters[iLayer] = new TH2D(Form("Anomalies/Layer%d/HitsWhenLongClusters", iLayer), Form("Layer%d/HitsWhenLongClusters", iLayer), ChipBoundary[iLayer + 1] - ChipBoundary[iLayer], ChipBoundary[iLayer], ChipBoundary[iLayer + 1], 150, 0, 15000);
addObject(hLongClustersPerChip[iLayer]);
formatAxes(hLongClustersPerChip[iLayer], "Chip ID", "number of long clusters", 1, 1.10);
hLongClustersPerChip[iLayer]->SetStats(0);
addObject(hMultPerChipWhenLongClusters[iLayer]);
formatAxes(hMultPerChipWhenLongClusters[iLayer], "Chip ID", "Sum of clusters size (events w/ long clus)", 1, 1.10);
hMultPerChipWhenLongClusters[iLayer]->SetStats(0);
}

hClusterSizeLayerSummary[iLayer] = new TH1D(Form("Layer%d/AverageClusterSizeSummary", iLayer), Form("Layer%dAverageClusterSizeSummary", iLayer), 100, 0, 100);
hClusterSizeLayerSummary[iLayer]->SetTitle(Form("Cluster size summary for Layer %d", iLayer));
addObject(hClusterSizeLayerSummary[iLayer]);
Expand Down
Loading