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1217 lines (1070 loc) · 57 KB
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// Copyright 2019-2020 CERN and copyright holders of ALICE O2.
// See https://alice-o2.web.cern.ch/copyright for details of the copyright holders.
// All rights not expressly granted are reserved.
//
// This software is distributed under the terms of the GNU General Public
// License v3 (GPL Version 3), copied verbatim in the file "COPYING".
//
// In applying this license CERN does not waive the privileges and immunities
// granted to it by virtue of its status as an Intergovernmental Organization
// or submit itself to any jurisdiction.
///
/// \file longrangecorrDerived.cxx
///
/// \brief task for long range correlation analysis based on derived table
/// \author Abhi Modak (abhi.modak@cern.ch)
/// \since November 05, 2025
#include "PWGCF/Core/CorrelationContainer.h"
#include "PWGCF/TwoParticleCorrelations/DataModel/LongRangeDerived.h"
#include "PWGUD/Core/SGSelector.h"
#include "Common/CCDB/EventSelectionParams.h"
#include "Common/Core/RecoDecay.h"
#include "Common/Core/TrackSelection.h"
#include "Common/Core/TrackSelectionDefaults.h"
#include "Common/DataModel/EventSelection.h"
#include "Common/DataModel/McCollisionExtra.h"
#include "Common/DataModel/PIDResponseTOF.h"
#include "Common/DataModel/PIDResponseTPC.h"
#include "Common/DataModel/TrackSelectionTables.h"
#include <CCDB/BasicCCDBManager.h>
#include <CommonConstants/MathConstants.h>
#include <Framework/AnalysisDataModel.h>
#include <Framework/AnalysisHelpers.h>
#include <Framework/AnalysisTask.h>
#include <Framework/BinningPolicy.h>
#include <Framework/Configurable.h>
#include <Framework/GroupedCombinations.h>
#include <Framework/HistogramRegistry.h>
#include <Framework/HistogramSpec.h>
#include <Framework/InitContext.h>
#include <Framework/O2DatabasePDGPlugin.h>
#include <Framework/OutputObjHeader.h>
#include <Framework/runDataProcessing.h>
#include <TH3.h>
#include <TRandom.h>
#include <cmath>
#include <cstdint>
#include <cstdio>
#include <string>
#include <tuple>
#include <utility>
#include <vector>
using namespace o2;
using namespace o2::framework;
using namespace o2::framework::expressions;
using namespace o2::aod::track;
using namespace o2::aod::fwdtrack;
using namespace o2::aod::evsel;
using namespace o2::constants::math;
auto static constexpr KminCharge = 3.0f;
auto static constexpr KPidMaskPion = 2;
auto static constexpr KPidMaskKaon = 4;
auto static constexpr KPidMaskProton = 8;
struct LongrangecorrDerived {
SliceCache cache;
SGSelector sgSelector;
HistogramRegistry histos{"histos", {}, OutputObjHandlingPolicy::AnalysisObject};
TrackSelection myTrackFilter;
Service<o2::framework::O2DatabasePDG> pdg;
Service<o2::ccdb::BasicCCDBManager> ccdb;
struct : ConfigurableGroup {
Configurable<int> cfgNmixedevent{"cfgNmixedevent", 5, "how many events are mixed"};
Configurable<double> cfgSampleSize{"cfgSampleSize", 10, "Sample size for bootstrapping"};
Configurable<int> cfgPidMask{"cfgPidMask", 0, "Selection bitmask for the TPC particle"};
Configurable<int> cfgV0Mask{"cfgV0Mask", 0, "Selection bitmask for the V0 particle"};
Configurable<float> cfgVtxCut{"cfgVtxCut", 10.0f, "Vertex Z range to consider"};
Configurable<bool> isUseCentEst{"isUseCentEst", false, "Centrality based classification"};
Configurable<int> isUseDataLikeMult{"isUseDataLikeMult", 0, "Data like mult/cent classification"};
Configurable<int> cfgVerbosity{"cfgVerbosity", 0, "print statement"};
Configurable<float> cfgEtaCut{"cfgEtaCut", 0.8f, "Eta range to consider"};
Configurable<float> cfgPtCutMin{"cfgPtCutMin", 0.2f, "minimum accepted track pT"};
Configurable<float> cfgPtCutMax{"cfgPtCutMax", 10.0f, "maximum accepted track pT"};
Configurable<float> cfgTpcMinNclsFound{"cfgTpcMinNclsFound", 50.0f, ""};
Configurable<float> cfgTpcMinNCrossedRows{"cfgTpcMinNCrossedRows", 70.0f, ""};
Configurable<float> cfgTpcMaxChi2PerCluster{"cfgTpcMaxChi2PerCluster", 4.0f, ""};
Configurable<float> cfgTpcMaxDcaZ{"cfgTpcMaxDcaZ", 1.0f, ""};
Configurable<bool> applyEffCorr{"applyEffCorr", true, "Enable efficiency correction"};
Configurable<bool> applyAccCorr{"applyAccCorr", false, "Enable NUA correction"};
Configurable<std::string> cfgEffccdbPath{"cfgEffccdbPath", "Users/a/abmodak/Efficiency/OO/default", "Browse track eff object from CCDB"};
Configurable<std::string> cfgAccccdbPath{"cfgAccccdbPath", "Users/a/abmodak/Acceptance/OO/default", "Browse track eff object from CCDB"};
Configurable<int> cfgMftCluster{"cfgMftCluster", 5, "cut on MFT Cluster"};
Configurable<float> cfgMftDcaxy{"cfgMftDcaxy", 2.0f, "cut on DCA xy for MFT tracks"};
Configurable<float> cfgMftDcaz{"cfgMftDcaz", 2.0f, "cut on DCA z for MFT tracks"};
Configurable<bool> cfgRejectAmbTrk{"cfgRejectAmbTrk", false, "Condition to reject Ambiguous tracks"};
Configurable<bool> cfgRejectNonAmbTrk{"cfgRejectNonAmbTrk", false, "Condition to reject Non-Ambiguous tracks"};
Configurable<bool> cfgRequireCA{"cfgRequireCA", false, "Use Cellular Automaton track-finding algorithm"};
Configurable<bool> cfgRequireLTF{"cfgRequireLTF", false, "Use LTF track-finding algorithm"};
Configurable<bool> cfgRequireFt0aOuterRing{"cfgRequireFt0aOuterRing", false, "Consider FT0A Outer Ring"};
Configurable<bool> cfgRequireFt0aInnerRing{"cfgRequireFt0aInnerRing", false, "Consider FT0A Inner Ring"};
Configurable<bool> cfgRequireFt0cOuterRing{"cfgRequireFt0cOuterRing", false, "Consider FT0C Outer Ring"};
Configurable<bool> cfgRequireFt0cInnerRing{"cfgRequireFt0cInnerRing", false, "Consider FT0C Inner Ring"};
Configurable<float> cfgTofPidPtCut{"cfgTofPidPtCut", 0.4f, "Minimum pt to use TOF N-sigma"};
Configurable<float> cfgPidNsigmaMax{"cfgPidNsigmaMax", 1.5f, "Maximum n-sigma for PID"};
Configurable<float> cfgPidNsigmaMin{"cfgPidNsigmaMin", -1.5f, "Minimum n-sigma for PID"};
Configurable<bool> cfgGetNsigmaQA{"cfgGetNsigmaQA", true, "Get QA histograms for PID selection"};
Configurable<bool> cfgGetdEdx{"cfgGetdEdx", true, "Get dEdx histograms for TPC signal"};
} cfgSel;
struct : ConfigurableGroup {
ConfigurableAxis axisMultQA{"axisMultQA", {500, -0.5, 499.5}, "multiplicity QA axis"};
ConfigurableAxis axisMultiplicity{"axisMultiplicity", {VARIABLE_WIDTH, 0, 26, 46, 133, 1000}, "multiplicity axis"};
ConfigurableAxis axisCentrality{"axisCentrality", {VARIABLE_WIDTH, 0, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100}, "Centrality (%)"};
ConfigurableAxis axisPhi{"axisPhi", {96, 0, TwoPI}, "#phi axis"};
ConfigurableAxis axisEtaTrig{"axisEtaTrig", {40, -1., 1.}, "#eta trig axis"};
ConfigurableAxis axisPtTrigger{"axisPtTrigger", {VARIABLE_WIDTH, 0.5, 1.0, 1.5, 2.0, 3.0, 4.0, 6.0, 10.0}, "pt trigger axis for histograms"};
ConfigurableAxis axisPtQA{"axisPtQA", {50, 0.0, 8.0}, "pt axis for PID QA histograms"};
ConfigurableAxis axisVtxZ{"axisVtxZ", {40, -20, 20}, "vertex axis"};
ConfigurableAxis axisEtaAssoc{"axisEtaAssoc", {96, 3.5, 4.9}, "#eta assoc axis"};
ConfigurableAxis axisDeltaPhi{"axisDeltaPhi", {72, -PIHalf, PIHalf * 3}, "delta phi axis for histograms"};
ConfigurableAxis axisDeltaEta{"axisDeltaEta", {40, -6, -2}, "delta eta axis for histograms"};
ConfigurableAxis axisInvMass{"axisInvMass", {VARIABLE_WIDTH, 1.7, 1.75, 1.8, 1.85, 1.9, 1.95, 2.0}, "invariant mass axis"};
ConfigurableAxis axisInvMassQA{"axisInvMassQA", {20, 0.45, 0.55}, "invariant mass axis for QA"};
ConfigurableAxis axisAmplitude{"axisAmplitude", {5000, 0, 10000}, "FT0 amplitude"};
ConfigurableAxis axisChannel{"axisChannel", {208, 0, 208}, "FT0 channel"};
ConfigurableAxis axisMultME{"axisMultME", {VARIABLE_WIDTH, 0, 5, 10, 20, 30, 40, 50, 1000}, "Mixing bins - multiplicity"};
ConfigurableAxis axisVtxZME{"axisVtxZME", {VARIABLE_WIDTH, -10, -8, -6, -4, -2, 0, 2, 4, 6, 8, 10}, "Mixing bins - z-vertex"};
ConfigurableAxis axisSample{"axisSample", {10, 0, 10}, "sample axis for histograms"};
ConfigurableAxis axisTPCNClsFound{"axisTPCNClsFound", {200, -0.5, 199.5}, "TPC Cluster axis"};
ConfigurableAxis axisTPCNClsCrossedRows{"axisTPCNClsCrossedRows", {200, -0.5, 199.5}, "TPC NCrossedRow axis"};
ConfigurableAxis axisTPCChi2NCl{"axisTPCChi2NCl", {20, 0.0, 20.0}, "TPC Chi2/NCl axis"};
ConfigurableAxis axisTPCdcaZ{"axisTPCdcaZ", {200, -10.0, 10.0}, "TPC dcaZ axis"};
ConfigurableAxis axisMFTAmbDegree{"axisMFTAmbDegree", {50, -0.5, 49.5}, "Track Ambiguity axis"};
ConfigurableAxis axisMFTNClusters{"axisMFTNClusters", {200, -0.5, 199.5}, "MFT Cluster axis"};
ConfigurableAxis axisMFTbestDCAXY{"axisMFTbestDCAXY", {200, -10.0, 10.0}, "MFT dcaXY axis"};
ConfigurableAxis axisMFTbestDCAZ{"axisMFTbestDCAZ", {200, -10.0, 10.0}, "MFT dcaZ axis"};
ConfigurableAxis axisVertexEfficiency{"axisVertexEfficiency", {10, -10, 10}, "vertex axis for efficiency histograms"};
ConfigurableAxis axisEtaEfficiency{"axisEtaEfficiency", {20, -1.0, 1.0}, "eta axis for efficiency histograms"};
ConfigurableAxis axisPtEfficiency{"axisPtEfficiency", {1, 0.5, 8.0}, "pt axis for efficiency histograms"};
ConfigurableAxis axisNsigmaTPC{"axisNsigmaTPC", {80, -5, 5}, "nsigmaTPC axis"};
ConfigurableAxis axisNsigmaTOF{"axisNsigmaTOF", {80, -5, 5}, "nsigmaTOF axis"};
ConfigurableAxis axisTpcSignal{"axisTpcSignal", {250, 0, 250}, "dEdx axis for TPC"};
} cfgAxis;
Configurable<float> cfgFv0Cut{"cfgFv0Cut", 50.0f, "FV0A threshold"};
Configurable<float> cfgFt0aCut{"cfgFt0aCut", 100.0f, "FT0A threshold"};
Configurable<float> cfgFt0cCut{"cfgFt0cCut", 50.0f, "FT0C threshold"};
Configurable<float> cfgZdcCut{"cfgZdcCut", 0.1f, "ZDC threshold"};
Configurable<int> cfgGapSideCut{"cfgGapSideCut", 0, "Gap-side A=0, C=1, AC = 2, No Gap = -1, All events = 3"};
OutputObj<CorrelationContainer> same{"sameEvent"};
OutputObj<CorrelationContainer> mixed{"mixedEvent"};
// corrections
TH3D* hTrkEff = nullptr;
TH3D* hTrkAcc = nullptr;
bool fLoadTrkEffCorr = false;
using CollsTable = aod::LRCollisions;
using TrksTable = aod::LRMidTracks;
using MftTrksTable = aod::LRMftTracks;
using Ft0aTrksTable = aod::LRFt0aTracks;
using Ft0cTrksTable = aod::LRFt0cTracks;
using V0TrksTable = aod::LRV0Tracks;
using McCollsTable = aod::LRMcCollisions;
using McTrksTable = aod::LRMidMcTracks;
using McMftTrksTable = aod::LRMftMcTracks;
using McFt0aTrksTable = aod::LRFt0aMcTracks;
using McFt0cTrksTable = aod::LRFt0cMcTracks;
using UpcCollsTable = soa::Join<aod::UpcLRCollisions, aod::UpcSgLRCollisions, aod::LRZdcs>;
using TrksUpcTable = aod::UpcLRMidTracks;
using MftTrksUpcTable = aod::UpcLRMftTracks;
using Ft0aTrksUpcTable = aod::UpcLRFt0aTracks;
using Ft0cTrksUpcTable = aod::UpcLRFt0cTracks;
using V0TrksUpcTable = aod::UpcLRV0Tracks;
Preslice<TrksTable> perColTpc = aod::lrcorrtrktable::lrCollisionId;
Preslice<MftTrksTable> perColMft = aod::lrcorrtrktable::lrCollisionId;
Preslice<Ft0aTrksTable> perColFt0a = aod::lrcorrtrktable::lrCollisionId;
Preslice<Ft0cTrksTable> perColFt0c = aod::lrcorrtrktable::lrCollisionId;
Preslice<V0TrksTable> perColV0 = aod::lrcorrtrktable::lrCollisionId;
Preslice<TrksUpcTable> perUpcColTpc = aod::lrcorrtrktable::upcLRCollisionId;
Preslice<MftTrksUpcTable> perUpcColMft = aod::lrcorrtrktable::upcLRCollisionId;
Preslice<Ft0aTrksUpcTable> perUpcColFt0a = aod::lrcorrtrktable::upcLRCollisionId;
Preslice<Ft0cTrksUpcTable> perUpcColFt0c = aod::lrcorrtrktable::upcLRCollisionId;
Preslice<V0TrksUpcTable> perUpcColV0 = aod::lrcorrtrktable::upcLRCollisionId;
Preslice<McTrksTable> perMcColTpc = aod::lrcorrmctrktable::lrMcCollisionId;
Preslice<McMftTrksTable> perMcColMft = aod::lrcorrmctrktable::lrMcCollisionId;
Preslice<McFt0aTrksTable> perMcColFt0a = aod::lrcorrmctrktable::lrMcCollisionId;
Preslice<McFt0cTrksTable> perMcColFt0c = aod::lrcorrmctrktable::lrMcCollisionId;
void init(InitContext const&)
{
std::vector<AxisSpec> corrAxis = {{cfgAxis.axisSample, "Sample"},
{cfgAxis.axisVtxZ, "z-vtx (cm)"},
{cfgAxis.axisMultiplicity, "multiplicity"},
{cfgAxis.axisPtTrigger, "p_{T} (GeV/c)"},
{cfgAxis.axisDeltaPhi, "#Delta#varphi (rad)"},
{cfgAxis.axisDeltaEta, "#Delta#eta"}};
std::vector<AxisSpec> effAxis = {{cfgAxis.axisVertexEfficiency, "z-vtx (cm)"},
{cfgAxis.axisPtEfficiency, "p_{T} (GeV/c)"},
{cfgAxis.axisEtaEfficiency, "#eta"}};
std::vector<AxisSpec> userAxis = {{cfgAxis.axisInvMass, "m (GeV/c^2)"}};
if (!(doprocessTPCtrackEff)) {
same.setObject(new CorrelationContainer("sameEvent", "sameEvent", corrAxis, effAxis, userAxis));
mixed.setObject(new CorrelationContainer("mixedEvent", "mixedEvent", corrAxis, effAxis, userAxis));
histos.add("hMultiplicity", "hMultiplicity", kTH1D, {cfgAxis.axisMultQA});
histos.add("hCentrality", "hCentrality", kTH1D, {cfgAxis.axisMultQA});
histos.add("hVertexZ", "hVertexZ", kTH1D, {cfgAxis.axisVtxZ});
histos.add("hGapSide", "hGapSide", kTH1I, {{5, -0.5, 4.5}});
histos.add("hTrueGapSide", "hTrueGapSide", kTH1I, {{6, -1.5, 4.5}});
histos.add("hTrueGapSide_AfterSel", "hTrueGapSide_AfterSel", kTH1I, {{6, -1.5, 4.5}});
histos.add("Trig_eta", "Trig_eta", kTH1D, {cfgAxis.axisEtaTrig});
histos.add("Trig_eta_corrected", "Trig_eta_corrected", kTH1D, {cfgAxis.axisEtaTrig});
histos.add("Trig_phi", "Trig_phi", kTH1D, {cfgAxis.axisPhi});
histos.add("Trig_phi_corrected", "Trig_phi_corrected", kTH1D, {cfgAxis.axisPhi});
histos.add("Trig_etavsphi", "Trig_etavsphi", kTH2D, {cfgAxis.axisPhi, cfgAxis.axisEtaTrig});
histos.add("Trig_pt", "Trig_pt", kTH1D, {cfgAxis.axisPtTrigger});
histos.add("Trig_pt_corrected", "Trig_pt_corrected", kTH1D, {cfgAxis.axisPtTrigger});
histos.add("Trig_invMass", "Trig_invMass", kTH1D, {cfgAxis.axisInvMassQA});
histos.add("Trig_hist", "Trig_hist", kTHnSparseF, {cfgAxis.axisSample, cfgAxis.axisVtxZ, cfgAxis.axisMultiplicity, cfgAxis.axisPtTrigger, cfgAxis.axisInvMass});
histos.add("Trig_amp", "Trig_amp", kTH1D, {cfgAxis.axisAmplitude});
histos.add("Channel_vs_Trig_amp", "Channel_vs_Trig_amp", kTH2D, {cfgAxis.axisChannel, cfgAxis.axisAmplitude});
histos.add("Assoc_eta", "Assoc_eta", kTH1D, {cfgAxis.axisEtaAssoc});
histos.add("Assoc_phi", "Assoc_phi", kTH1D, {cfgAxis.axisPhi});
histos.add("Assoc_etavsphi", "Assoc_etavsphi", kTH2D, {cfgAxis.axisPhi, cfgAxis.axisEtaAssoc});
histos.add("Assoc_amp", "Assoc_amp", kTH1D, {cfgAxis.axisAmplitude});
histos.add("Channel_vs_Assoc_amp", "Channel_vs_Assoc_amp", kTH2D, {cfgAxis.axisChannel, cfgAxis.axisAmplitude});
histos.add("deltaEta_deltaPhi_same", "deltaEta_deltaPhi_same", kTH2D, {cfgAxis.axisDeltaPhi, cfgAxis.axisDeltaEta});
histos.add("deltaEta_deltaPhi_mixed", "deltaEta_deltaPhi_mixed", kTH2D, {cfgAxis.axisDeltaPhi, cfgAxis.axisDeltaEta});
histos.add("TPCNClsFound", "TPCNClsFound", kTH1D, {cfgAxis.axisTPCNClsFound});
histos.add("TPCNClsCrossedRows", "TPCNClsCrossedRows", kTH1D, {cfgAxis.axisTPCNClsCrossedRows});
histos.add("TPCChi2NCl", "TPCChi2NCl", kTH1D, {cfgAxis.axisTPCChi2NCl});
histos.add("TPCdcaZ", "TPCdcaZ", kTH1D, {cfgAxis.axisTPCdcaZ});
histos.add("MFTNClusters", "MFTNClusters", kTH1D, {cfgAxis.axisMFTNClusters});
histos.add("MFTbestDCAXY", "MFTbestDCAXY", kTH1D, {cfgAxis.axisMFTbestDCAXY});
histos.add("MFTbestDCAZ", "MFTbestDCAZ", kTH1D, {cfgAxis.axisMFTbestDCAZ});
histos.add("ReassignedMFTtrackAmbDegree", "ReassignedMFTtrackAmbDegree", kTH1D, {cfgAxis.axisMFTAmbDegree});
histos.add("AssignedMFTtrackAmbDegree", "AssignedMFTtrackAmbDegree", kTH1D, {cfgAxis.axisMFTAmbDegree});
}
if (doprocessTPCtrackEff) {
histos.add("hGenMCdndpt", "hGenMCdndpt", kTH3D, {cfgAxis.axisVtxZ, cfgAxis.axisEtaEfficiency, cfgAxis.axisPtEfficiency});
histos.add("hRecMCdndpt", "hRecMCdndpt", kTH3D, {cfgAxis.axisVtxZ, cfgAxis.axisEtaEfficiency, cfgAxis.axisPtEfficiency});
}
myTrackFilter = getGlobalTrackSelectionRun3ITSMatch(TrackSelection::GlobalTrackRun3ITSMatching::Run3ITSibAny,
TrackSelection::GlobalTrackRun3DCAxyCut::Default);
myTrackFilter.SetPtRange(cfgSel.cfgPtCutMin, cfgSel.cfgPtCutMax);
myTrackFilter.SetEtaRange(-cfgSel.cfgEtaCut, cfgSel.cfgEtaCut);
myTrackFilter.SetMinNCrossedRowsTPC(cfgSel.cfgTpcMinNCrossedRows);
myTrackFilter.SetMinNClustersTPC(cfgSel.cfgTpcMinNclsFound);
myTrackFilter.SetMaxChi2PerClusterTPC(cfgSel.cfgTpcMaxChi2PerCluster);
myTrackFilter.SetMaxDcaZ(cfgSel.cfgTpcMaxDcaZ);
myTrackFilter.print();
if (cfgSel.cfgGetNsigmaQA && (cfgSel.cfgPidMask == KPidMaskPion || cfgSel.cfgPidMask == KPidMaskKaon || cfgSel.cfgPidMask == KPidMaskProton)) {
if (cfgSel.isUseCentEst) { // CENTRALITY MODE
histos.add("TofTpcNsigma_before", "TPC vs TOF n#sigma Before Cuts;Centrality (%);p_{T} (GeV/c);n#sigma_{TPC};n#sigma_{TOF}",
kTHnSparseD, {cfgAxis.axisCentrality, cfgAxis.axisPtQA, cfgAxis.axisNsigmaTPC, cfgAxis.axisNsigmaTOF});
histos.add("TofTpcNsigma_after", "TPC vs TOF n#sigma After Cuts;Centrality (%);p_{T} (GeV/c);n#sigma_{TPC};n#sigma_{TOF}",
kTHnSparseD, {cfgAxis.axisCentrality, cfgAxis.axisPtQA, cfgAxis.axisNsigmaTPC, cfgAxis.axisNsigmaTOF});
if (cfgSel.cfgGetdEdx) {
histos.add("TpcdEdx_ptwise", "TPC dE/dx Before Cuts;Centrality (%);p_{T} (GeV/c);TPC dE/dx;n#sigma_{TOF}",
kTHnSparseD, {cfgAxis.axisCentrality, cfgAxis.axisPtQA, cfgAxis.axisTpcSignal, cfgAxis.axisNsigmaTOF});
histos.add("TpcdEdx_ptwise_afterCut", "TPC dE/dx After Cuts;Centrality (%);p_{T} (GeV/c);TPC dE/dx;n#sigma_{TOF}",
kTHnSparseD, {cfgAxis.axisCentrality, cfgAxis.axisPtQA, cfgAxis.axisTpcSignal, cfgAxis.axisNsigmaTOF});
}
} else { // MULTIPLICITY MODE
histos.add("TofTpcNsigma_before", "TPC vs TOF n#sigma Before Cuts;Multiplicity (N_{ch});p_{T} (GeV/c);n#sigma_{TPC};n#sigma_{TOF}",
kTHnSparseD, {cfgAxis.axisMultiplicity, cfgAxis.axisPtQA, cfgAxis.axisNsigmaTPC, cfgAxis.axisNsigmaTOF});
histos.add("TofTpcNsigma_after", "TPC vs TOF n#sigma After Cuts;Multiplicity (N_{ch});p_{T} (GeV/c);n#sigma_{TPC};n#sigma_{TOF}",
kTHnSparseD, {cfgAxis.axisMultiplicity, cfgAxis.axisPtQA, cfgAxis.axisNsigmaTPC, cfgAxis.axisNsigmaTOF});
if (cfgSel.cfgGetdEdx) {
histos.add("TpcdEdx_ptwise", "TPC dE/dx Before Cuts;Multiplicity (N_{ch});p_{T} (GeV/c);TPC dE/dx;n#sigma_{TOF}",
kTHnSparseD, {cfgAxis.axisMultiplicity, cfgAxis.axisPtQA, cfgAxis.axisTpcSignal, cfgAxis.axisNsigmaTOF});
histos.add("TpcdEdx_ptwise_afterCut", "TPC dE/dx After Cuts;Multiplicity (N_{ch});p_{T} (GeV/c);TPC dE/dx;n#sigma_{TOF}",
kTHnSparseD, {cfgAxis.axisMultiplicity, cfgAxis.axisPtQA, cfgAxis.axisTpcSignal, cfgAxis.axisNsigmaTOF});
}
}
}
}
void loadEffCorrection(uint64_t timestamp)
{
if (fLoadTrkEffCorr) {
return;
}
if (cfgSel.cfgEffccdbPath.value.empty() == false) {
hTrkEff = ccdb->getForTimeStamp<TH3D>(cfgSel.cfgEffccdbPath, timestamp);
if (hTrkEff == nullptr) {
LOGF(fatal, "Could not load efficiency histogram for trigger particles from %s", cfgSel.cfgEffccdbPath.value.c_str());
}
LOGF(info, "Loaded efficiency histogram from %s (%p)", cfgSel.cfgEffccdbPath.value.c_str(), static_cast<void*>(hTrkEff));
}
if (cfgSel.cfgAccccdbPath.value.empty() == false) {
hTrkAcc = ccdb->getForTimeStamp<TH3D>(cfgSel.cfgAccccdbPath, timestamp);
if (hTrkAcc == nullptr) {
LOGF(fatal, "Could not load NUA histogram for trigger particles from %s", cfgSel.cfgAccccdbPath.value.c_str());
}
LOGF(info, "Loaded efficiency histogram from %s (%p)", cfgSel.cfgAccccdbPath.value.c_str(), static_cast<void*>(hTrkAcc));
}
fLoadTrkEffCorr = true;
}
float getTrkEffCorr(float posZ, float eta, float pt)
{
if (!cfgSel.applyEffCorr || !hTrkEff) {
return 1.0;
}
int zBin = hTrkEff->GetXaxis()->FindBin(posZ);
int etaBin = hTrkEff->GetYaxis()->FindBin(eta);
int ptBin = hTrkEff->GetZaxis()->FindBin(pt);
float effweight = 1.0 / hTrkEff->GetBinContent(zBin, etaBin, ptBin);
if (!std::isfinite(effweight) || effweight <= 0) {
return 1.0;
}
return effweight;
}
float getTrkAccCorr(float posZ, float eta, float phi)
{
if (!cfgSel.applyAccCorr || !hTrkAcc) {
return 1.0;
}
int zBin = hTrkAcc->GetXaxis()->FindBin(posZ);
int etaBin = hTrkAcc->GetYaxis()->FindBin(eta);
int phiBin = hTrkAcc->GetZaxis()->FindBin(phi);
float nua = hTrkAcc->GetBinContent(zBin, etaBin, phiBin);
if (!std::isfinite(nua) || nua <= 0) {
return 1.0;
}
return nua;
}
template <typename TTrack>
bool isTrackSelected(TTrack const& track)
{
if constexpr (requires { track.tpcNClsFound(); }) {
if (track.tpcNClsFound() < cfgSel.cfgTpcMinNclsFound)
return false;
if (track.tpcNClsCrossedRows() < cfgSel.cfgTpcMinNCrossedRows)
return false;
if (track.tpcChi2NCl() > cfgSel.cfgTpcMaxChi2PerCluster)
return false;
if (std::abs(track.dcaZ()) > cfgSel.cfgTpcMaxDcaZ)
return false;
return true;
} else if constexpr (requires { track.nClusters(); }) {
if (track.nClusters() < cfgSel.cfgMftCluster)
return false;
if (std::abs(track.bestDCAXY()) >= cfgSel.cfgMftDcaxy)
return false;
if (std::abs(track.bestDCAZ()) >= cfgSel.cfgMftDcaz)
return false;
if (cfgSel.cfgRejectAmbTrk && track.ambDegree() > 1)
return false;
if (cfgSel.cfgRejectNonAmbTrk && track.ambDegree() == 1)
return false;
if (cfgSel.cfgRequireCA && !track.isCA())
return false;
if (cfgSel.cfgRequireLTF && track.isCA())
return false;
return true;
} else {
return true;
}
}
template <typename TCollision>
void fillCollQA(TCollision const& col)
{
histos.fill(HIST("hMultiplicity"), col.multiplicity());
if constexpr (requires { col.centrality(); }) {
histos.fill(HIST("hCentrality"), col.centrality());
}
histos.fill(HIST("hVertexZ"), col.posZ());
}
template <typename TTrack>
void fillTrigTrackQA(TTrack const& track, float trigAmpl, float trkeff, float trkAcc)
{
histos.fill(HIST("Trig_etavsphi"), track.phi(), track.eta());
histos.fill(HIST("Trig_eta"), track.eta());
histos.fill(HIST("Trig_phi"), track.phi());
histos.fill(HIST("Trig_eta_corrected"), track.eta(), trkeff);
histos.fill(HIST("Trig_phi_corrected"), track.phi(), trkAcc);
if constexpr (requires { track.channelID(); }) {
histos.fill(HIST("Trig_amp"), trigAmpl);
histos.fill(HIST("Channel_vs_Trig_amp"), track.channelID(), trigAmpl);
} else {
histos.fill(HIST("Trig_pt"), track.pt());
histos.fill(HIST("Trig_pt_corrected"), track.pt(), trkeff);
}
if constexpr (requires { track.invMass(); }) {
histos.fill(HIST("Trig_invMass"), track.invMass());
}
if constexpr (requires { track.tpcNClsFound(); }) {
histos.fill(HIST("TPCNClsFound"), track.tpcNClsFound());
histos.fill(HIST("TPCNClsCrossedRows"), track.tpcNClsCrossedRows());
histos.fill(HIST("TPCChi2NCl"), track.tpcChi2NCl());
histos.fill(HIST("TPCdcaZ"), track.dcaZ());
}
if constexpr (requires { track.nClusters(); }) {
histos.fill(HIST("MFTNClusters"), track.nClusters());
histos.fill(HIST("MFTbestDCAXY"), track.bestDCAXY());
histos.fill(HIST("MFTbestDCAZ"), track.bestDCAZ());
if (track.isReassigned()) {
histos.fill(HIST("ReassignedMFTtrackAmbDegree"), track.ambDegree());
} else {
histos.fill(HIST("AssignedMFTtrackAmbDegree"), track.ambDegree());
}
}
}
template <typename TTrack>
void fillAssocTrackQA(TTrack const& track, float assoAmpl)
{
histos.fill(HIST("Assoc_etavsphi"), track.phi(), track.eta());
histos.fill(HIST("Assoc_eta"), track.eta());
histos.fill(HIST("Assoc_phi"), track.phi());
if constexpr (requires { track.channelID(); }) {
histos.fill(HIST("Assoc_amp"), assoAmpl);
histos.fill(HIST("Channel_vs_Assoc_amp"), track.channelID(), assoAmpl);
}
if constexpr (requires { track.nClusters(); }) {
histos.fill(HIST("MFTNClusters"), track.nClusters());
histos.fill(HIST("MFTbestDCAXY"), track.bestDCAXY());
histos.fill(HIST("MFTbestDCAZ"), track.bestDCAZ());
if (track.isReassigned()) {
histos.fill(HIST("ReassignedMFTtrackAmbDegree"), track.ambDegree());
} else {
histos.fill(HIST("AssignedMFTtrackAmbDegree"), track.ambDegree());
}
}
}
template <bool fillHist = true, typename CheckCol>
bool isUpcEventSelected(CheckCol const& col)
{
if constexpr (fillHist) {
histos.fill(HIST("hGapSide"), col.gapSide());
}
int truegapSide = sgSelector.trueGap(col, cfgFv0Cut, cfgFt0aCut, cfgFt0cCut, cfgZdcCut);
if constexpr (fillHist) {
histos.fill(HIST("hTrueGapSide"), truegapSide);
}
if (truegapSide != cfgGapSideCut)
return false;
if constexpr (fillHist) {
histos.fill(HIST("hTrueGapSide_AfterSel"), truegapSide);
}
return true;
}
template <CorrelationContainer::CFStep step, typename TTarget, typename TTriggers, typename TAssocs>
void fillCorrHist(TTarget target, TTriggers const& triggers, TAssocs const& assocs, bool mixing, float vz, float multiplicity, float eventWeight)
{
int fSampleIndex = gRandom->Uniform(0, cfgSel.cfgSampleSize);
for (auto const& triggerTrack : triggers) {
auto trigAmpl = 1.0f;
auto trkeff = 1.0f;
auto trkAcc = 1.0f;
if (!isTrackSelected(triggerTrack))
continue;
if constexpr (requires { triggerTrack.trackType(); }) {
if (cfgSel.cfgPidMask != 0 && (cfgSel.cfgPidMask & (1u << static_cast<uint32_t>(triggerTrack.trackType()))) == 0u)
continue;
} else if constexpr (requires { triggerTrack.v0Type(); }) {
if (cfgSel.cfgV0Mask != 0 && (cfgSel.cfgV0Mask & (1u << static_cast<uint32_t>(triggerTrack.v0Type()))) == 0u)
continue;
}
if constexpr (requires { triggerTrack.channelID(); }) {
if (cfgSel.cfgRequireFt0aOuterRing && !triggerTrack.isTrackFT0Outer())
continue;
if (cfgSel.cfgRequireFt0aInnerRing && triggerTrack.isTrackFT0Outer())
continue;
trigAmpl = triggerTrack.amplitude();
} else {
trigAmpl = 1.0;
}
if constexpr (step == CorrelationContainer::kCFStepCorrected) {
if constexpr (requires { triggerTrack.trackType(); }) {
trkeff = getTrkEffCorr(vz, triggerTrack.eta(), triggerTrack.pt());
trkAcc = getTrkAccCorr(vz, triggerTrack.eta(), triggerTrack.phi());
} else {
trkeff = 1.0;
trkAcc = 1.0;
}
}
if (cfgSel.cfgVerbosity > 0) {
LOGF(info, "NUE correction factor: %f | NUA correction factor: %f", trkeff, trkAcc);
}
if (!mixing) {
fillTrigTrackQA(triggerTrack, trigAmpl, trkeff, trkAcc);
if constexpr (requires { triggerTrack.channelID(); }) {
histos.fill(HIST("Trig_hist"), fSampleIndex, vz, multiplicity, 1.0, 1.0, eventWeight * trigAmpl * trkeff * trkAcc);
} else if constexpr (requires { triggerTrack.invMass(); }) {
histos.fill(HIST("Trig_hist"), fSampleIndex, vz, multiplicity, triggerTrack.pt(), triggerTrack.invMass(), eventWeight * trigAmpl * trkeff * trkAcc);
} else {
histos.fill(HIST("Trig_hist"), fSampleIndex, vz, multiplicity, triggerTrack.pt(), 1.0, eventWeight * trigAmpl * trkeff * trkAcc);
}
}
for (auto const& assoTrack : assocs) {
auto assoAmpl = 1.0f;
if (!isTrackSelected(assoTrack))
continue;
if constexpr (requires { assoTrack.channelID(); }) {
if (cfgSel.cfgRequireFt0cOuterRing && !assoTrack.isTrackFT0Outer())
continue;
if (cfgSel.cfgRequireFt0cInnerRing && assoTrack.isTrackFT0Outer())
continue;
assoAmpl = assoTrack.amplitude();
} else {
assoAmpl = 1.0f;
}
float deltaPhi = RecoDecay::constrainAngle(triggerTrack.phi() - assoTrack.phi(), -PIHalf);
float deltaEta = triggerTrack.eta() - assoTrack.eta();
if (!mixing) {
fillAssocTrackQA(assoTrack, assoAmpl);
histos.fill(HIST("deltaEta_deltaPhi_same"), deltaPhi, deltaEta, eventWeight * trigAmpl * assoAmpl * trkeff * trkAcc);
} else {
histos.fill(HIST("deltaEta_deltaPhi_mixed"), deltaPhi, deltaEta, eventWeight * trigAmpl * assoAmpl * trkeff * trkAcc);
}
if constexpr (requires { triggerTrack.channelID(); }) {
target->getPairHist()->Fill(step, fSampleIndex, vz, multiplicity, 1.0, deltaPhi, deltaEta, 1.0, eventWeight * trigAmpl * assoAmpl * trkeff * trkAcc);
} else if constexpr (requires { triggerTrack.invMass(); }) {
target->getPairHist()->Fill(step, fSampleIndex, vz, multiplicity, triggerTrack.pt(), deltaPhi, deltaEta, triggerTrack.invMass(), eventWeight * trigAmpl * assoAmpl * trkeff * trkAcc);
} else {
target->getPairHist()->Fill(step, fSampleIndex, vz, multiplicity, triggerTrack.pt(), deltaPhi, deltaEta, 1.0, eventWeight * trigAmpl * assoAmpl * trkeff * trkAcc);
}
} // associated tracks
} // trigger tracks
} // fill correlation
template <typename TCollision, typename TTriggers, typename TAssocs>
void processSame(TCollision const& col, TTriggers const& triggers, TAssocs const& assocs)
{
if (std::abs(col.posZ()) >= cfgSel.cfgVtxCut) {
return;
}
loadEffCorrection(col.timestamp());
fillCollQA(col);
auto multiplicity = 1.0f;
if constexpr (requires { col.centrality(); }) {
if (cfgSel.isUseCentEst)
multiplicity = col.centrality();
else
multiplicity = col.multiplicity();
} else {
multiplicity = col.multiplicity();
}
if (cfgSel.applyEffCorr) {
fillCorrHist<CorrelationContainer::kCFStepCorrected>(same, triggers, assocs, false, col.posZ(), multiplicity, 1.0);
} else {
fillCorrHist<CorrelationContainer::kCFStepReconstructed>(same, triggers, assocs, false, col.posZ(), multiplicity, 1.0);
}
} // process same
template <typename TCollision, typename... TrackTypes>
void processMixed(TCollision const& cols, TrackTypes&&... tracks)
{
auto getMultiplicity = [this](auto& col) {
if constexpr (requires { col.gapSide(); }) {
if (!isUpcEventSelected<false>(col)) {
return -1.0f;
}
} else {
(void)this;
}
auto multiplicity = 1.0f;
if constexpr (requires { col.centrality(); }) {
if (cfgSel.isUseCentEst)
multiplicity = col.centrality();
else
multiplicity = col.multiplicity();
} else {
multiplicity = col.multiplicity();
}
return multiplicity;
};
using MixedBinning = FlexibleBinningPolicy<std::tuple<decltype(getMultiplicity)>, aod::collision::PosZ, decltype(getMultiplicity)>;
MixedBinning binningOnVtxAndMult{{getMultiplicity}, {cfgAxis.axisVtxZME, cfgAxis.axisMultME}, true};
auto tracksTuple = std::make_tuple(std::forward<TrackTypes>(tracks)...);
using TupleAtrack = std::tuple_element<0, decltype(tracksTuple)>::type;
using TupleBtrack = std::tuple_element<std::tuple_size_v<decltype(tracksTuple)> - 1, decltype(tracksTuple)>::type;
Pair<TCollision, TupleAtrack, TupleBtrack, MixedBinning> pairs{binningOnVtxAndMult, cfgSel.cfgNmixedevent, -1, cols, tracksTuple, &cache};
for (auto it = pairs.begin(); it != pairs.end(); it++) {
auto& [col1, tracks1, col2, tracks2] = *it;
if constexpr (requires { col1.gapSide(); } || requires { col2.gapSide(); }) {
if (!isUpcEventSelected<false>(col1) || !isUpcEventSelected<false>(col2)) {
continue;
}
}
if (std::abs(col1.posZ()) >= cfgSel.cfgVtxCut || std::abs(col2.posZ()) >= cfgSel.cfgVtxCut) {
continue;
}
float eventweight = 1.0f / it.currentWindowNeighbours();
auto multiplicity = getMultiplicity(col1);
int bin = binningOnVtxAndMult.getBin(std::tuple(col1.posZ(), multiplicity));
loadEffCorrection(col1.timestamp());
if (cfgSel.cfgVerbosity > 0) {
LOGF(info, "processMixed: Mixed collisions bin: %d pair: [%d, %d] %d (%.3f, %.3f), %d (%.3f, %.3f)", bin, it.isNewWindow(), it.currentWindowNeighbours(), col1.globalIndex(), col1.posZ(), col1.multiplicity(), col2.globalIndex(), col2.posZ(), col2.multiplicity());
}
if (cfgSel.applyEffCorr) {
fillCorrHist<CorrelationContainer::kCFStepCorrected>(mixed, tracks1, tracks2, true, col1.posZ(), multiplicity, eventweight);
} else {
fillCorrHist<CorrelationContainer::kCFStepReconstructed>(mixed, tracks1, tracks2, true, col1.posZ(), multiplicity, eventweight);
}
} // pair loop
} // process mixed
template <typename TTriggers, typename TAssocs>
void processMcSame(McCollsTable::iterator const& mccollision, soa::SmallGroups<aod::LRCollisionsWithLabel> const& collisions, TTriggers const& triggers, TAssocs const& assocs)
{
if (std::abs(mccollision.posZ()) >= cfgSel.cfgVtxCut) {
return;
}
fillCollQA(mccollision);
auto multiplicity = mccollision.multiplicity();
if (cfgSel.isUseDataLikeMult > 0) {
for (const auto& collision : collisions) {
if (cfgSel.isUseCentEst)
multiplicity = collision.centrality();
else
multiplicity = collision.multiplicity();
}
}
fillCorrHist<CorrelationContainer::kCFStepAll>(same, triggers, assocs, false, mccollision.posZ(), multiplicity, 1.0);
} // process MC same
template <typename... TrackTypes>
void processMcMixed(McCollsTable const& mccollisions, aod::LRCollisionsWithLabel const& collisions, TrackTypes&&... tracks)
{
bool useMCMultiplicity = (cfgSel.isUseDataLikeMult == 0);
auto getMultiplicity =
[&collisions, &useMCMultiplicity, this](auto& col) {
if (useMCMultiplicity)
return col.multiplicity();
auto groupedCollisions = collisions.sliceByCached(aod::lrcorrcolltable::lrMcCollisionId, col.globalIndex(), this->cache);
if (groupedCollisions.size() == 0)
return -1.0f;
if (cfgSel.isUseCentEst)
return groupedCollisions.begin().centrality();
else
return groupedCollisions.begin().multiplicity();
};
using MixedBinning = FlexibleBinningPolicy<std::tuple<decltype(getMultiplicity)>, aod::mccollision::PosZ, decltype(getMultiplicity)>;
MixedBinning binningOnVtxAndMult{{getMultiplicity}, {cfgAxis.axisVtxZME, cfgAxis.axisMultME}, true};
auto tracksTuple = std::make_tuple(std::forward<TrackTypes>(tracks)...);
using TupleAtrack = std::tuple_element<0, decltype(tracksTuple)>::type;
using TupleBtrack = std::tuple_element<std::tuple_size_v<decltype(tracksTuple)> - 1, decltype(tracksTuple)>::type;
Pair<McCollsTable, TupleAtrack, TupleBtrack, MixedBinning> pairs{binningOnVtxAndMult, cfgSel.cfgNmixedevent, -1, mccollisions, tracksTuple, &cache};
for (auto it = pairs.begin(); it != pairs.end(); it++) {
auto& [col1, tracks1, col2, tracks2] = *it;
float eventweight = 1.0f / it.currentWindowNeighbours();
auto multiplicity = getMultiplicity(col1);
fillCorrHist<CorrelationContainer::kCFStepAll>(mixed, tracks1, tracks2, true, col1.posZ(), multiplicity, eventweight);
} // pair loop
} // process MC mixed
template <typename TTriggers, typename TAssocs>
void processMcGenSame(McCollsTable::iterator const& mccollision, TTriggers const& triggers, TAssocs const& assocs)
{
if (std::abs(mccollision.posZ()) >= cfgSel.cfgVtxCut) {
return;
}
fillCollQA(mccollision);
auto multiplicity = mccollision.multiplicity();
fillCorrHist<CorrelationContainer::kCFStepAll>(same, triggers, assocs, false, mccollision.posZ(), multiplicity, 1.0);
} // process MC gen same
template <typename... TrackTypes>
void processMcGenMixed(McCollsTable const& mccollisions, TrackTypes&&... tracks)
{
auto getMultiplicity = [this](auto& collision) {
(void)this;
return collision.multiplicity();
};
using MixedBinning = FlexibleBinningPolicy<std::tuple<decltype(getMultiplicity)>, aod::mccollision::PosZ, decltype(getMultiplicity)>;
MixedBinning binningOnVtxAndMult{{getMultiplicity}, {cfgAxis.axisVtxZME, cfgAxis.axisMultME}, true};
auto tracksTuple = std::make_tuple(std::forward<TrackTypes>(tracks)...);
using TupleAtrack = std::tuple_element<0, decltype(tracksTuple)>::type;
using TupleBtrack = std::tuple_element<std::tuple_size_v<decltype(tracksTuple)> - 1, decltype(tracksTuple)>::type;
Pair<McCollsTable, TupleAtrack, TupleBtrack, MixedBinning> pairs{binningOnVtxAndMult, cfgSel.cfgNmixedevent, -1, mccollisions, tracksTuple, &cache};
for (auto it = pairs.begin(); it != pairs.end(); it++) {
auto& [col1, tracks1, col2, tracks2] = *it;
float eventweight = 1.0f / it.currentWindowNeighbours();
auto multiplicity = getMultiplicity(col1);
fillCorrHist<CorrelationContainer::kCFStepAll>(mixed, tracks1, tracks2, true, col1.posZ(), multiplicity, eventweight);
} // pair loop
} // process MC gen mixed
void processTpcft0aSE(CollsTable::iterator const& col, TrksTable const& tracks, Ft0aTrksTable const& ft0as)
{
processSame(col, tracks, ft0as);
}
void processTpcft0cSE(CollsTable::iterator const& col, TrksTable const& tracks, Ft0cTrksTable const& ft0cs)
{
processSame(col, tracks, ft0cs);
}
void processTpcmftSE(CollsTable::iterator const& col, TrksTable const& tracks, MftTrksTable const& mfts)
{
processSame(col, tracks, mfts);
}
void processMftft0aSE(CollsTable::iterator const& col, MftTrksTable const& mfts, Ft0aTrksTable const& ft0as)
{
processSame(col, mfts, ft0as);
}
void processV0ft0aSE(CollsTable::iterator const& col, V0TrksTable const& tracks, Ft0aTrksTable const& ft0as)
{
processSame(col, tracks, ft0as);
}
void processV0mftSE(CollsTable::iterator const& col, V0TrksTable const& tracks, MftTrksTable const& mfts)
{
processSame(col, tracks, mfts);
}
void processFt0aft0cSE(CollsTable::iterator const& col, Ft0aTrksTable const& ft0as, Ft0cTrksTable const& ft0cs)
{
processSame(col, ft0as, ft0cs);
}
void processTpcft0aME(CollsTable const& cols, TrksTable const& tracks, Ft0aTrksTable const& ft0as)
{
processMixed(cols, tracks, ft0as);
}
void processTpcft0cME(CollsTable const& cols, TrksTable const& tracks, Ft0cTrksTable const& ft0cs)
{
processMixed(cols, tracks, ft0cs);
}
void processTpcmftME(CollsTable const& cols, TrksTable const& tracks, MftTrksTable const& mfts)
{
processMixed(cols, tracks, mfts);
}
void processMftft0aME(CollsTable const& cols, MftTrksTable const& mfts, Ft0aTrksTable const& ft0as)
{
processMixed(cols, mfts, ft0as);
}
void processV0ft0aME(CollsTable const& cols, V0TrksTable const& tracks, Ft0aTrksTable const& ft0as)
{
processMixed(cols, tracks, ft0as);
}
void processV0mftME(CollsTable const& cols, V0TrksTable const& tracks, MftTrksTable const& mfts)
{
processMixed(cols, tracks, mfts);
}
void processFt0aft0cME(CollsTable const& cols, Ft0aTrksTable const& ft0as, Ft0cTrksTable const& ft0cs)
{
processMixed(cols, ft0as, ft0cs);
}
void processUpcTpcft0aSE(UpcCollsTable::iterator const& col, TrksUpcTable const& tracks, Ft0aTrksUpcTable const& ft0as)
{
if (!isUpcEventSelected<true>(col)) {
return;
}
processSame(col, tracks, ft0as);
}
void processUpcTpcft0cSE(UpcCollsTable::iterator const& col, TrksUpcTable const& tracks, Ft0cTrksUpcTable const& ft0cs)
{
if (!isUpcEventSelected<true>(col)) {
return;
}
processSame(col, tracks, ft0cs);
}
void processUpcTpcmftSE(UpcCollsTable::iterator const& col, TrksUpcTable const& tracks, MftTrksUpcTable const& mfts)
{
if (!isUpcEventSelected<true>(col)) {
return;
}
processSame(col, tracks, mfts);
}
void processUpcMftft0aSE(UpcCollsTable::iterator const& col, MftTrksUpcTable const& mfts, Ft0aTrksUpcTable const& ft0as)
{
if (!isUpcEventSelected<true>(col)) {
return;
}
processSame(col, mfts, ft0as);
}
void processUpcV0ft0aSE(UpcCollsTable::iterator const& col, V0TrksUpcTable const& tracks, Ft0aTrksUpcTable const& ft0as)
{
if (!isUpcEventSelected<true>(col)) {
return;
}
processSame(col, tracks, ft0as);
}
void processUpcV0mftSE(UpcCollsTable::iterator const& col, V0TrksUpcTable const& tracks, MftTrksUpcTable const& mfts)
{
if (!isUpcEventSelected<true>(col)) {
return;
}
processSame(col, tracks, mfts);
}
void processUpcTpcft0aME(UpcCollsTable const& cols, TrksUpcTable const& tracks, Ft0aTrksUpcTable const& ft0as)
{
processMixed(cols, tracks, ft0as);
}
void processUpcTpcft0cME(UpcCollsTable const& cols, TrksUpcTable const& tracks, Ft0cTrksUpcTable const& ft0cs)
{
processMixed(cols, tracks, ft0cs);
}
void processUpcTpcmftME(UpcCollsTable const& cols, TrksUpcTable const& tracks, MftTrksUpcTable const& mfts)
{
processMixed(cols, tracks, mfts);
}
void processUpcMftft0aME(UpcCollsTable const& cols, MftTrksUpcTable const& mfts, Ft0aTrksUpcTable const& ft0as)
{
processMixed(cols, mfts, ft0as);
}
void processUpcV0ft0aME(UpcCollsTable const& cols, V0TrksUpcTable const& tracks, Ft0aTrksUpcTable const& ft0as)
{
processMixed(cols, tracks, ft0as);
}
void processUpcV0mftME(UpcCollsTable const& cols, V0TrksUpcTable const& tracks, MftTrksUpcTable const& mfts)
{
processMixed(cols, tracks, mfts);
}
void processMcTpcft0aSE(McCollsTable::iterator const& mccollision, soa::SmallGroups<aod::LRCollisionsWithLabel> const& collisions, McTrksTable const& tracks, McFt0aTrksTable const& ft0as)
{
processMcSame(mccollision, collisions, tracks, ft0as);
}
void processMcTpcft0cSE(McCollsTable::iterator const& mccollision, soa::SmallGroups<aod::LRCollisionsWithLabel> const& collisions, McTrksTable const& tracks, McFt0cTrksTable const& ft0cs)
{
processMcSame(mccollision, collisions, tracks, ft0cs);
}
void processMcTpcmftSE(McCollsTable::iterator const& mccollision, soa::SmallGroups<aod::LRCollisionsWithLabel> const& collisions, McTrksTable const& tracks, McMftTrksTable const& mfts)
{
processMcSame(mccollision, collisions, tracks, mfts);
}
void processMcMftft0aSE(McCollsTable::iterator const& mccollision, soa::SmallGroups<aod::LRCollisionsWithLabel> const& collisions, McMftTrksTable const& mfts, McFt0aTrksTable const& ft0as)
{
processMcSame(mccollision, collisions, mfts, ft0as);
}
void processMcFt0aft0cSE(McCollsTable::iterator const& mccollision, soa::SmallGroups<aod::LRCollisionsWithLabel> const& collisions, McFt0aTrksTable const& ft0as, McFt0cTrksTable const& ft0cs)
{
processMcSame(mccollision, collisions, ft0as, ft0cs);
}
void processMcTpcft0aME(McCollsTable const& mccollisions, aod::LRCollisionsWithLabel const& collisions, McTrksTable const& tracks, McFt0aTrksTable const& ft0as)
{
processMcMixed(mccollisions, collisions, tracks, ft0as);
}
void processMcTpcft0cME(McCollsTable const& mccollisions, aod::LRCollisionsWithLabel const& collisions, McTrksTable const& tracks, McFt0cTrksTable const& ft0cs)
{
processMcMixed(mccollisions, collisions, tracks, ft0cs);
}
void processMcTpcmftME(McCollsTable const& mccollisions, aod::LRCollisionsWithLabel const& collisions, McTrksTable const& tracks, McMftTrksTable const& mfts)
{
processMcMixed(mccollisions, collisions, tracks, mfts);
}
void processMcMftft0aME(McCollsTable const& mccollisions, aod::LRCollisionsWithLabel const& collisions, McMftTrksTable const& mfts, McFt0aTrksTable const& ft0as)
{
processMcMixed(mccollisions, collisions, mfts, ft0as);
}
void processMcFt0aft0cME(McCollsTable const& mccollisions, aod::LRCollisionsWithLabel const& collisions, McFt0aTrksTable const& ft0as, McFt0cTrksTable const& ft0cs)
{
processMcMixed(mccollisions, collisions, ft0as, ft0cs);
}
void processMcGenTpcft0aSE(McCollsTable::iterator const& mccollision, McTrksTable const& tracks, McFt0aTrksTable const& ft0as)
{
processMcGenSame(mccollision, tracks, ft0as);
}
void processMcGenTpcft0cSE(McCollsTable::iterator const& mccollision, McTrksTable const& tracks, McFt0cTrksTable const& ft0cs)
{
processMcGenSame(mccollision, tracks, ft0cs);
}
void processMcGenTpcmftSE(McCollsTable::iterator const& mccollision, McTrksTable const& tracks, McMftTrksTable const& mfts)
{
processMcGenSame(mccollision, tracks, mfts);
}
void processMcGenMftft0aSE(McCollsTable::iterator const& mccollision, McMftTrksTable const& mfts, McFt0aTrksTable const& ft0as)
{
processMcGenSame(mccollision, mfts, ft0as);
}
void processMcGenFt0aft0cSE(McCollsTable::iterator const& mccollision, McFt0aTrksTable const& ft0as, McFt0cTrksTable const& ft0cs)
{
processMcGenSame(mccollision, ft0as, ft0cs);
}
void processMcGenTpcft0aME(McCollsTable const& mccollisions, McTrksTable const& tracks, McFt0aTrksTable const& ft0as)
{
processMcGenMixed(mccollisions, tracks, ft0as);
}
void processMcGenTpcft0cME(McCollsTable const& mccollisions, McTrksTable const& tracks, McFt0cTrksTable const& ft0cs)
{
processMcGenMixed(mccollisions, tracks, ft0cs);
}
void processMcGenTpcmftME(McCollsTable const& mccollisions, McTrksTable const& tracks, McMftTrksTable const& mfts)
{
processMcGenMixed(mccollisions, tracks, mfts);
}
void processMcGenMftft0aME(McCollsTable const& mccollisions, McMftTrksTable const& mfts, McFt0aTrksTable const& ft0as)
{
processMcGenMixed(mccollisions, mfts, ft0as);
}
void processMcGenFt0aft0cME(McCollsTable const& mccollisions, McFt0aTrksTable const& ft0as, McFt0cTrksTable const& ft0cs)
{
processMcGenMixed(mccollisions, ft0as, ft0cs);
}
using ColMCTrueTable = soa::Join<aod::McCollisions, aod::McCollsExtra>;
using ColMCRecTable = soa::SmallGroups<soa::Join<aod::McCollisionLabels, aod::Collisions, aod::EvSels>>;
using TrksMCRecTable = soa::Join<aod::Tracks, aod::TracksExtra, aod::TracksDCA, aod::McTrackLabels, aod::TrackSelection>;
Preslice<TrksMCRecTable> perColMidtrack = aod::track::collisionId;