Skip to content

[PWGCF] debug pt-dependence efficiency #14401

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

Closed
Luzhiyongg wants to merge 2 commits into from
+70 −21
Closed

[PWGCF] debug pt-dependence efficiency #14401

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
2d26511
debug pt-dependence efficiency
Luzhiyongg Jan 6, 2026
7dd5238
remove unused parameters
Luzhiyongg Jan 6, 2026
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
60 changes: 48 additions & 12 deletions PWGCF/Flow/Tasks/flowMc.cxx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -78,7 +78,7 @@ struct FlowMc {
O2_DEFINE_CONFIGURABLE(cfgFlowEfficiency, std::string, "", "CCDB path to efficiency object")
O2_DEFINE_CONFIGURABLE(cfgCentVsIPTruth, std::string, "", "CCDB path to centrality vs IP truth")
O2_DEFINE_CONFIGURABLE(cfgIsGlobalTrack, bool, false, "Use global tracks instead of hasTPC&&hasITS")
O2_DEFINE_CONFIGURABLE(cfgK0Lambda0Enabled, bool, false, "Add K0 and Lambda0")
O2_DEFINE_CONFIGURABLE(cfgK0Lambda0Enabled, bool, true, "Add K0 and Lambda0")
O2_DEFINE_CONFIGURABLE(cfgFlowCumulantEnabled, bool, false, "switch of calculating flow")
O2_DEFINE_CONFIGURABLE(cfgFlowCumulantNbootstrap, int, 30, "Number of subsamples")
O2_DEFINE_CONFIGURABLE(cfgTrackDensityCorrUse, bool, false, "Use track density efficiency correction")
Expand All @@ -96,7 +96,6 @@ struct FlowMc {

Configurable<std::vector<double>> cfgTrackDensityP0{"cfgTrackDensityP0", std::vector<double>{0.6003720411, 0.6152630970, 0.6288860646, 0.6360694031, 0.6409494798, 0.6450540203, 0.6482117301, 0.6512592056, 0.6640008690, 0.6862631416, 0.7005738691, 0.7106567432, 0.7170728333}, "parameter 0 for track density efficiency correction"};
Configurable<std::vector<double>> cfgTrackDensityP1{"cfgTrackDensityP1", std::vector<double>{-1.007592e-05, -8.932635e-06, -9.114538e-06, -1.054818e-05, -1.220212e-05, -1.312304e-05, -1.376433e-05, -1.412813e-05, -1.289562e-05, -1.050065e-05, -8.635725e-06, -7.380821e-06, -6.201250e-06}, "parameter 1 for track density efficiency correction"};
float maxEta = 0.8;

ConfigurableAxis axisB{"axisB", {100, 0.0f, 20.0f}, ""};
ConfigurableAxis axisCentrality{"axisCentrality", {VARIABLE_WIDTH, 0, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90}, "X axis for histograms"};
Expand Down Expand Up @@ -162,9 +161,10 @@ struct FlowMc {
const AxisSpec axisEta{20, -1., 1., "#eta"};
const AxisSpec axisCounter{1, 0, +1, ""};
// QA histograms
histos.add<TH1>("mcEventCounter", "Monte Carlo Truth EventCounter", HistType::kTH1F, {axisCounter});
histos.add<TH1>("numberOfRecoCollisions", "numberOfRecoCollisions", HistType::kTH1F, {{10, -0.5f, 9.5f}});
histos.add<TH1>("RecoEventCounter", "Reconstruction EventCounter", HistType::kTH1F, {axisCounter});
histos.add<TH1>("mcEventCounter", "Monte Carlo Truth EventCounter", HistType::kTH1F, {{5, 0, 5}});
histos.add<TH1>("numberOfRecoCollisions", "numberOfRecoCollisions", HistType::kTH1F, {{10, -1.5f, 8.5f}});
histos.add<TH1>("RecoEventCounter", "Reconstruction EventCounter", HistType::kTH1F, {{5, 0, 5}});
histos.add<TH1>("RecoProcessEventCounter", "Reconstruction EventCounter", HistType::kTH1F, {{5, 0, 5}});
histos.add<TH1>("hnTPCClu", "Number of found TPC clusters", HistType::kTH1D, {{100, 40, 180}});
histos.add<TH1>("hnITSClu", "Number of found ITS clusters", HistType::kTH1D, {{100, 0, 20}});
// pT histograms
Expand Down Expand Up @@ -209,6 +209,8 @@ struct FlowMc {
histos.add<TH1>("hPtMCGen", "Monte Carlo Truth; pT (GeV/c);", {HistType::kTH1D, {axisPt}});
histos.add<TH3>("hEtaPtVtxzMCGen", "Monte Carlo Truth; #eta; p_{T} (GeV/c); V_{z} (cm);", {HistType::kTH3D, {axisEta, axisPt, axisVertex}});
histos.add<TH1>("hPtMCGlobal", "Monte Carlo Global; pT (GeV/c);", {HistType::kTH1D, {axisPt}});
histos.add<TH1>("hPtReco", "Monte Carlo Reco Global; pT (GeV/c);", {HistType::kTH1D, {axisPt}});
histos.add<TH1>("hPtReco_PhysicalPrimary", "Monte Carlo Reco Global; pT (GeV/c);", {HistType::kTH1D, {axisPt}});
histos.add<TH3>("hEtaPtVtxzMCGlobal", "Monte Carlo Global; #eta; p_{T} (GeV/c); V_{z} (cm);", {HistType::kTH3D, {axisEta, axisPt, axisVertex}});
histos.add<TH1>("hPhiWeightedTrDen", "corrected #phi distribution, considering track density", {HistType::kTH1D, {axisPhi}});

Expand Down Expand Up @@ -447,9 +449,9 @@ struct FlowMc {
return myTrackSel.IsSelected(track);
}

void process(FilteredMcCollisions::iterator const& mcCollision, aod::BCsWithTimestamps const&, soa::SmallGroups<soa::Join<aod::McCollisionLabels, aod::Collisions, aod::EvSels>> const& collisions, FilteredMcParticles const& mcParticles, FilteredTracks const&)
void processMCTrue(FilteredMcCollisions::iterator const& mcCollision, aod::BCsWithTimestamps const&, soa::SmallGroups<soa::Join<aod::McCollisionLabels, aod::Collisions, aod::EvSels>> const& collisions, FilteredMcParticles const& mcParticles, FilteredTracks const&)
{

histos.fill(HIST("mcEventCounter"), 0.5);
float imp = mcCollision.impactParameter();
float evPhi = mcCollision.eventPlaneAngle();
float vtxz = mcCollision.posZ();
Expand All @@ -465,21 +467,23 @@ struct FlowMc {
loadCorrections(bc.timestamp());

if (collisions.size() > -1) {
histos.fill(HIST("mcEventCounter"), 0.5);
histos.fill(HIST("numberOfRecoCollisions"), collisions.size()); // number of times coll was reco-ed
histos.fill(HIST("RecoEventCounter"), 0.5);
if (cfgRecoEvRejectMC) {
if (collisions.size() != 1) { // only pass those have one reconstruction event
return;
}
histos.fill(HIST("RecoEventCounter"), 1.5);
for (auto const& collision : collisions) {
if (!eventSelected(collision))
return;
}
histos.fill(HIST("RecoEventCounter"), 2.5);
}
histos.fill(HIST("RecoEventCounter"), 0.5);
}
histos.fill(HIST("RecoEventCounter"), 3.5);

if (imp > minB && imp < maxB) {
if (imp >= minB && imp <= maxB) {
// event within range
histos.fill(HIST("hImpactParameter"), imp);
histos.fill(HIST("hEventPlaneAngle"), evPhi);
Expand All @@ -502,7 +506,7 @@ struct FlowMc {
continue;
if (!mcParticle.isPhysicalPrimary())
continue;
if (std::fabs(mcParticle.eta()) > maxEta) // main acceptance
if (std::fabs(mcParticle.eta()) > cfgCutEta) // main acceptance
continue;
if (mcParticle.has_tracks()) {
auto const& tracks = mcParticle.tracks_as<FilteredTracks>();
Expand Down Expand Up @@ -551,7 +555,7 @@ struct FlowMc {

if (!mcParticle.isPhysicalPrimary())
continue;
if (std::fabs(mcParticle.eta()) > maxEta) // main acceptance
if (std::fabs(mcParticle.eta()) > cfgCutEta) // main acceptance
continue;

float deltaPhi = mcParticle.phi() - mcCollision.eventPlaneAngle();
Expand Down Expand Up @@ -696,6 +700,38 @@ struct FlowMc {
}
histos.fill(HIST("hNchVsImpactParameter"), imp, nCh);
}
PROCESS_SWITCH(FlowMc, processMCTrue, "process pure simulation information", true);

void processReco(soa::Join<aod::Collisions, aod::EvSels, aod::McCollisionLabels>::iterator const& collision, aod::BCsWithTimestamps const&, FilteredTracks const& tracks, aod::McParticles const&, aod::McCollisions const&)
{
histos.fill(HIST("RecoProcessEventCounter"), 0.5);
if (!eventSelected(collision))
return;
histos.fill(HIST("RecoProcessEventCounter"), 1.5);
if (tracks.size() < 1)
return;
auto bc = collision.bc_as<aod::BCsWithTimestamps>();
histos.fill(HIST("RecoProcessEventCounter"), 2.5);
for (const auto& track : tracks) {
if (!trackSelected(track))
continue;
histos.fill(HIST("hPtReco"), track.pt());
auto mcParticle = track.mcParticle();
int pdgCode = std::abs(mcParticle.pdgCode());
bool extraPDGType = true;
if (cfgK0Lambda0Enabled) {
extraPDGType = (pdgCode != PDG_t::kK0Short && pdgCode != PDG_t::kLambda0);
}
if (extraPDGType && pdgCode != PDG_t::kElectron && pdgCode != PDG_t::kMuonMinus && pdgCode != PDG_t::kPiPlus && pdgCode != kKPlus && pdgCode != PDG_t::kProton)
continue;
if (!mcParticle.isPhysicalPrimary())
continue;
if (std::fabs(mcParticle.eta()) > cfgCutEta) // main acceptance
continue;
histos.fill(HIST("hPtReco_PhysicalPrimary"), track.pt());
}
}
PROCESS_SWITCH(FlowMc, processReco, "process reconstructed information", true);
};

WorkflowSpec defineDataProcessing(ConfigContext const& cfgc)
Expand Down
31 changes: 22 additions & 9 deletions PWGCF/Flow/Tasks/flowTask.cxx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,7 @@
#include "TList.h"
#include <TF1.h>
#include <TObjArray.h>
#include <TPDGCode.h>
#include <TProfile.h>
#include <TRandom3.h>

Expand Down Expand Up @@ -300,6 +301,7 @@ struct FlowTask {
std::string hCentTitle = "Centrality distribution, Estimator " + std::to_string(cfgCentEstimator);
registry.add("hCent", hCentTitle.c_str(), {HistType::kTH1D, {{100, 0, 100}}});
if (doprocessMCGen) {
registry.add("MCGen/hMCEventCount", "Number of Event;; Count", {HistType::kTH1D, {{5, 0, 5}}});
registry.add("MCGen/MChVtxZ", "Vexter Z distribution", {HistType::kTH1D, {axisVertex}});
registry.add("MCGen/MChMult", "Multiplicity distribution", {HistType::kTH1D, {{3000, 0.5, 3000.5}}});
registry.add("MCGen/MChCent", hCentTitle.c_str(), {HistType::kTH1D, {{100, 0, 100}}});
Expand Down Expand Up @@ -360,7 +362,7 @@ struct FlowTask {
if (doprocessMCGen) {
registry.add("MCGen/MChPhi", "#phi distribution", {HistType::kTH1D, {axisPhi}});
registry.add("MCGen/MChEta", "#eta distribution", {HistType::kTH1D, {axisEta}});
registry.add("MCGen/MChPtRef", "p_{T} distribution after cut", {HistType::kTH1D, {axisPtHist}});
registry.add("MCGen/MChPt", "p_{T} distribution after cut", {HistType::kTH1D, {axisPtHist}});
registry.add("hMeanPtWithinGap08_MC", "mean p_{T}", {HistType::kTProfile, {axisIndependent}});
for (auto i = 0; i < cfgNbootstrap; i++) {
bootstrapArray[i][kMeanPtWithinGap08_MC] = registry.add<TProfile>(Form("BootstrapContainer_%d/hMeanPtWithinGap08_MC", i), "", {HistType::kTProfile, {axisIndependent}});
Expand Down Expand Up @@ -1242,14 +1244,26 @@ struct FlowTask {

void processMCGen(FilteredMcCollisions::iterator const& mcCollision, FilteredSmallGroupMcCollisions const& collisions, FilteredMcParticles const& mcParticles)
{
registry.fill(HIST("MCGen/hMCEventCount"), 0.5);
if (collisions.size() != 1)
return;
registry.fill(HIST("MCGen/hMCEventCount"), 1.5);

float cent = -1.;
for (const auto& collision : collisions) {
cent = getCentrality(collision);
}

if (cfgUseAdditionalEventCut) {
for (auto const& collision : collisions) {
if (!collision.sel8())
return;
if (!eventSelected(collision, mcParticles.size(), cent))
return;
}
}
registry.fill(HIST("MCGen/hMCEventCount"), 2.5);

float lRandom = fRndm->Rndm();
float vtxz = mcCollision.posZ();
registry.fill(HIST("MCGen/MChVtxZ"), vtxz);
Expand All @@ -1262,26 +1276,25 @@ struct FlowTask {
fGFW->Clear();
fFCptgen->clearVector();

if (cfgUseAdditionalEventCut) {
for (auto const& collision : collisions) {
if (!eventSelected(collision, mcParticles.size(), cent))
return;
}
}

double ptSum_Gap08 = 0.;
double count_Gap08 = 0.;
for (const auto& mcParticle : mcParticles) {
int pdgCode = std::abs(mcParticle.pdgCode());
bool extraPDGType = (pdgCode != PDG_t::kK0Short && pdgCode != PDG_t::kLambda0);
if (extraPDGType && pdgCode != PDG_t::kElectron && pdgCode != PDG_t::kMuonMinus && pdgCode != PDG_t::kPiPlus && pdgCode != kKPlus && pdgCode != PDG_t::kProton)
continue;
if (!mcParticle.isPhysicalPrimary())
continue;
if (std::fabs(mcParticle.eta()) > cfgCutEta) // main acceptance
continue;
bool withinPtPOI = (cfgCutPtPOIMin < mcParticle.pt()) && (mcParticle.pt() < cfgCutPtPOIMax); // within POI pT range
bool withinPtRef = (cfgCutPtRefMin < mcParticle.pt()) && (mcParticle.pt() < cfgCutPtRefMax); // within RF pT range
bool withinEtaGap08 = (std::abs(mcParticle.eta()) < cfgCutEta);

registry.fill(HIST("MCGen/MChPt"), mcParticle.pt());
if (withinPtRef) {
registry.fill(HIST("MCGen/MChPhi"), mcParticle.phi());
registry.fill(HIST("MCGen/MChEta"), mcParticle.eta());
registry.fill(HIST("MCGen/MChPtRef"), mcParticle.pt());
if (withinEtaGap08) {
ptSum_Gap08 += mcParticle.pt();
count_Gap08 += 1.;
Expand Down
Loading