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[PWGCF] Add pt(PID) correlation calculation #17477

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wenyaCern merged 2 commits into from
Aug 17, 2026
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[PWGCF] Add pt(PID) correlation calculation #17477

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23b4214
[PWGCF] Add pt(PID) correlation calculation
huinaibing Aug 17, 2026
63b0896
fix megalinter
huinaibing Aug 17, 2026
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161 changes: 161 additions & 0 deletions PWGCF/Flow/Tasks/pidFlowPtCorr.cxx
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Original file line number Diff line number Diff line change
Expand Up @@ -293,6 +293,7 @@ struct PidFlowPtCorr {
Configurable<bool> cfgOutPutMC1D{"cfgOutPutMC1D", true, "Fill MC graphs, note that if the processMCgen is open,this MUST be open"};
Configurable<bool> cfgAddPidResponseMatrixHistograms{"cfgAddPidResponseMatrixHistograms", false, "Add PID response matrix histograms; enable together with processPidResponseMatrix"};
Configurable<bool> cfgAddC22DeltaPtHistograms{"cfgAddC22DeltaPtHistograms", false, "Add histograms for processDataC22DeltaPt; enable together with processDataC22DeltaPt"};
Configurable<bool> cfgAddPidPtCorrelationProfiles{"cfgAddPidPtCorrelationProfiles", false, "Add FlowContainer profiles for processPidPtCorrelations; enable together with processPidPtCorrelations"};
Configurable<bool> cfgC22DeltaPtUsePure{"cfgC22DeltaPtUsePure", false, "true: use PID POI-POI Pure profiles; false: use PID POI-ref and ref-ref profiles"};
Configurable<bool> cfgAddMeanPtCentNbsHistograms{"cfgAddMeanPtCentNbsHistograms", false, "Add meanptCentNbs TProfile3D histograms"};
// These switches suppress result allocation and filling only. Charged reference
Expand Down Expand Up @@ -428,6 +429,7 @@ struct PidFlowPtCorr {
OutputObj<FlowContainer> fFCKa{FlowContainer("FlowContainerKa")};
OutputObj<FlowContainer> fFCPr{FlowContainer("FlowContainerPr")};
OutputObj<FlowContainer> fFCUnidentified{FlowContainer("FlowContainerUnidentified")};
OutputObj<FlowContainer> fFCPidPtCorr{FlowContainer("FlowContainerPidPtCorr")};
// end val used for bootstrap

// define global variables
Expand Down Expand Up @@ -501,6 +503,7 @@ struct PidFlowPtCorr {
funcProcessQA,
funcProcessPidResponseMatrix,
funcProcessDataC22DeltaPt,
funcProcessPidPtCorrelations,
funcNumber
};

Expand Down Expand Up @@ -731,6 +734,9 @@ struct PidFlowPtCorr {
registry.addClone("hEventCount/processData", "hEventCount/processSim");
// processPidResponseMatrix
registry.addClone("hEventCount/processData", "hEventCount/processPidResponseMatrix");
if (switchsOpts.cfgAddPidPtCorrelationProfiles.value) {
registry.addClone("hEventCount/processData", "hEventCount/processPidPtCorrelations");
}

if (switchsOpts.cfgAddC22DeltaPtHistograms.value) {
registry.addClone("hEventCount/processData", "hEventCount/processDataC22DeltaPt");
Expand Down Expand Up @@ -877,6 +883,30 @@ struct PidFlowPtCorr {
}
// end init fFCPID

if (switchsOpts.cfgAddPidPtCorrelationProfiles.value) {
auto* oba4PidPtCorr = new TObjArray();
oba4PidPtCorr->Add(new TNamed("meanPtPi", "meanPtPi"));
oba4PidPtCorr->Add(new TNamed("meanPtKa", "meanPtKa"));
oba4PidPtCorr->Add(new TNamed("meanPtPr", "meanPtPr"));
oba4PidPtCorr->Add(new TNamed("ptProductPiPi", "ptProductPiPi"));
oba4PidPtCorr->Add(new TNamed("ptPiInPiPiPairs", "ptPiInPiPiPairs"));
oba4PidPtCorr->Add(new TNamed("ptProductKaKa", "ptProductKaKa"));
oba4PidPtCorr->Add(new TNamed("ptKaInKaKaPairs", "ptKaInKaKaPairs"));
oba4PidPtCorr->Add(new TNamed("ptProductPrPr", "ptProductPrPr"));
oba4PidPtCorr->Add(new TNamed("ptPrInPrPrPairs", "ptPrInPrPrPairs"));
oba4PidPtCorr->Add(new TNamed("ptProductPiKa", "ptProductPiKa"));
oba4PidPtCorr->Add(new TNamed("ptPiInPiKaPairs", "ptPiInPiKaPairs"));
oba4PidPtCorr->Add(new TNamed("ptKaInPiKaPairs", "ptKaInPiKaPairs"));
oba4PidPtCorr->Add(new TNamed("ptProductPiPr", "ptProductPiPr"));
oba4PidPtCorr->Add(new TNamed("ptPiInPiPrPairs", "ptPiInPiPrPairs"));
oba4PidPtCorr->Add(new TNamed("ptPrInPiPrPairs", "ptPrInPiPrPairs"));
oba4PidPtCorr->Add(new TNamed("ptProductKaPr", "ptProductKaPr"));
oba4PidPtCorr->Add(new TNamed("ptKaInKaPrPairs", "ptKaInKaPrPairs"));
oba4PidPtCorr->Add(new TNamed("ptPrInKaPrPairs", "ptPrInKaPrPairs"));
fFCPidPtCorr->SetName("FlowContainerPidPtCorr");
fFCPidPtCorr->Initialize(oba4PidPtCorr, axisMultiplicity, cfgFlowNbootstrap);
}

if (switchsOpts.cfgAddMeanPtCentNbsHistograms.value) {
// TProfile3D axes: event mean pT, centrality, and bootstrap subsample.
if (switchsOpts.cfgOutputCharged.value) {
Expand Down Expand Up @@ -932,6 +962,7 @@ struct PidFlowPtCorr {
registry.add("hProcessQA/centVsMult", "cent Vs Mult;Centrality T0C;mulplicity global tracks", {HistType::kTH2D, {axisMultiplicity, cfgaxisNch}});
registry.add("hProcessQA/IR", "", {HistType::kTH1D, {{100, 0, 100}}});
registry.add("hProcessQA/Occupacy", "", {HistType::kTH1D, {{1000, 0, 10000}}});
registry.add("hProcessQA/occupancyVsCent", "Track occupancy versus centrality;Centrality (%);Track occupancy in time range", {HistType::kTH2D, {axisMultiplicity, {1000, 0, 10000}}});
// end evetn QA
}
// end init QA plot for processQA
Expand Down Expand Up @@ -2254,6 +2285,9 @@ struct PidFlowPtCorr {
case MyFunctionName::funcProcessDataC22DeltaPt:
registry.fill(HIST("hEventCount/processDataC22DeltaPt"), position);
break;
case MyFunctionName::funcProcessPidPtCorrelations:
registry.fill(HIST("hEventCount/processPidPtCorrelations"), position);
break;

default:
// LOGF(warning, "could not find event count graph");
Expand Down Expand Up @@ -3243,6 +3277,132 @@ struct PidFlowPtCorr {
}
PROCESS_SWITCH(PidFlowPtCorr, processDataC22DeltaPt, "Fill c22dmeanpt profiles", false);

void fillPidPtSelfMoments(const char* productName,
const char* singlePtName,
const double cent,
const double rndm,
const double sumWeight,
const double sumPt,
const double sumWeight2,
const double sumPtWeight2,
const double sumPt2Weight2)
{
const double pairWeight = sumWeight * sumWeight - sumWeight2;
if (pairWeight <= minVal4Float) {
return;
}
fFCPidPtCorr->FillProfile(productName, cent,
(sumPt * sumPt - sumPt2Weight2) / pairWeight,
pairWeight, rndm);
fFCPidPtCorr->FillProfile(singlePtName, cent,
(sumWeight * sumPt - sumPtWeight2) / pairWeight,
pairWeight, rndm);
}

void fillPidPtCrossMoments(const char* productName,
const char* alphaPtName,
const char* betaPtName,
const double cent,
const double rndm,
const double alphaWeight,
const double alphaPtSum,
const double betaWeight,
const double betaPtSum)
{
if (alphaWeight <= 0. || betaWeight <= 0.) {
return;
}
const double pairWeight = alphaWeight * betaWeight;
fFCPidPtCorr->FillProfile(productName, cent,
alphaPtSum * betaPtSum / pairWeight,
pairWeight, rndm);
fFCPidPtCorr->FillProfile(alphaPtName, cent,
alphaPtSum / alphaWeight,
pairWeight, rndm);
fFCPidPtCorr->FillProfile(betaPtName, cent,
betaPtSum / betaWeight,
pairWeight, rndm);
}

void processPidPtCorrelations(AodCollisions::iterator const& collision,
aod::BCsWithTimestamps const&,
AodTracks const& tracks)
{
if (!switchsOpts.cfgAddPidPtCorrelationProfiles.value) {
return;
}
registry.fill(HIST("hEventCount/processPidPtCorrelations"), 0.5);
if (tracks.size() < 1 || !collision.sel8()) {
return;
}
registry.fill(HIST("hEventCount/processPidPtCorrelations"), 1.5);

const auto cent = getCentrality(collision);
auto bc = collision.bc_as<aod::BCsWithTimestamps>();
const double interactionRate = getInteractionRate(bc.timestamp(), bc.runNumber());
if (!eventSelected(collision, cent, interactionRate, MyFunctionName::funcProcessPidPtCorrelations)) {
return;
}

loadCorrections(bc.timestamp());
const double rndm = fRndm->Rndm();
std::array<double, 3> sumWeight{};
std::array<double, 3> sumPt{};
std::array<double, 3> sumWeight2{};
std::array<double, 3> sumPtWeight2{};
std::array<double, 3> sumPt2Weight2{};

for (const auto& track : tracks) {
if (!trackSelectedForFlow(track)) {
continue;
}
const int pid = getPidConfigurable(track);
if (pid < MyParticleType::kPion || pid > MyParticleType::kProton || !isWithinPOIPtRange(pid, track.pt())) {
continue;
}

float weight = 1.f;
setParticleNUEWeight(weight, track, cent, pid);
const std::size_t index = static_cast<std::size_t>(pid - MyParticleType::kPion);
const double particleWeight = weight;
const double weight2 = particleWeight * particleWeight;
const double pt = track.pt();
sumWeight[index] += particleWeight;
sumPt[index] += particleWeight * pt;
sumWeight2[index] += weight2;
sumPtWeight2[index] += weight2 * pt;
sumPt2Weight2[index] += weight2 * pt * pt;
}

constexpr std::size_t kPi = 0;
constexpr std::size_t kKa = 1;
constexpr std::size_t kPr = 2;
if (sumWeight[kPi] > 0.) {
fFCPidPtCorr->FillProfile("meanPtPi", cent, sumPt[kPi] / sumWeight[kPi], sumWeight[kPi], rndm);
}
if (sumWeight[kKa] > 0.) {
fFCPidPtCorr->FillProfile("meanPtKa", cent, sumPt[kKa] / sumWeight[kKa], sumWeight[kKa], rndm);
}
if (sumWeight[kPr] > 0.) {
fFCPidPtCorr->FillProfile("meanPtPr", cent, sumPt[kPr] / sumWeight[kPr], sumWeight[kPr], rndm);
}

fillPidPtSelfMoments("ptProductPiPi", "ptPiInPiPiPairs", cent, rndm,
sumWeight[kPi], sumPt[kPi], sumWeight2[kPi], sumPtWeight2[kPi], sumPt2Weight2[kPi]);
fillPidPtSelfMoments("ptProductKaKa", "ptKaInKaKaPairs", cent, rndm,
sumWeight[kKa], sumPt[kKa], sumWeight2[kKa], sumPtWeight2[kKa], sumPt2Weight2[kKa]);
fillPidPtSelfMoments("ptProductPrPr", "ptPrInPrPrPairs", cent, rndm,
sumWeight[kPr], sumPt[kPr], sumWeight2[kPr], sumPtWeight2[kPr], sumPt2Weight2[kPr]);

fillPidPtCrossMoments("ptProductPiKa", "ptPiInPiKaPairs", "ptKaInPiKaPairs", cent, rndm,
sumWeight[kPi], sumPt[kPi], sumWeight[kKa], sumPt[kKa]);
fillPidPtCrossMoments("ptProductPiPr", "ptPiInPiPrPairs", "ptPrInPiPrPairs", cent, rndm,
sumWeight[kPi], sumPt[kPi], sumWeight[kPr], sumPt[kPr]);
fillPidPtCrossMoments("ptProductKaPr", "ptKaInKaPrPairs", "ptPrInKaPrPairs", cent, rndm,
sumWeight[kKa], sumPt[kKa], sumWeight[kPr], sumPt[kPr]);
}
PROCESS_SWITCH(PidFlowPtCorr, processPidPtCorrelations, "Calculate self-contained PID mean-pT correlations", false);

/**
* @brief Run the flow calculation on generated MC particles for a closure test.
* @note Reconstructed collisions are only used to obtain the centrality. The selection is
Expand Down Expand Up @@ -3675,6 +3835,7 @@ struct PidFlowPtCorr {
registry.fill(HIST("hProcessQA/centVsMult"), cent, tracks.size());
registry.fill(HIST("hProcessQA/IR"), interactionRate);
registry.fill(HIST("hProcessQA/Occupacy"), collision.trackOccupancyInTimeRange());
registry.fill(HIST("hProcessQA/occupancyVsCent"), cent, collision.trackOccupancyInTimeRange());
// end event qa

// i dont want to fill event count again as it's filled in other 5 function
Expand Down
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