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flowDecorrelation.cxx
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1772 lines (1549 loc) · 85.8 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 flowDecorrelation.cxx
/// \brief long range correlations for O-O and Ne-Ne collisions as a function of eta
/// \author Zhiyong Lu (zhiyong.lu@cern.ch), Joachim Hansen (joachim.hansen@cern.ch), Lukas Cernusak (lukas.cernusak@cern.ch)
/// \since Sep/10/2025
#include "PWGCF/Core/CorrelationContainer.h"
#include "PWGCF/Core/PairCuts.h"
#include "PWGCF/DataModel/CorrelationsDerived.h"
#include "PWGCF/GenericFramework/Core/GFW.h"
#include "PWGCF/GenericFramework/Core/GFWCumulant.h"
#include "PWGCF/GenericFramework/Core/GFWPowerArray.h"
#include "PWGCF/GenericFramework/Core/GFWWeights.h"
#include "Common/Core/RecoDecay.h"
#include "Common/DataModel/Centrality.h"
#include "Common/DataModel/CollisionAssociationTables.h"
#include "Common/DataModel/EventSelection.h"
#include "Common/DataModel/FT0Corrected.h"
#include "Common/DataModel/Multiplicity.h"
#include "Common/DataModel/TrackSelectionTables.h"
#include "CommonConstants/MathConstants.h"
#include "DataFormatsParameters/GRPMagField.h"
#include "DataFormatsParameters/GRPObject.h"
#include "DetectorsCommonDataFormats/AlignParam.h"
#include "FT0Base/Geometry.h"
#include "FV0Base/Geometry.h"
#include "Framework/ASoAHelpers.h"
#include "Framework/AnalysisDataModel.h"
#include "Framework/AnalysisTask.h"
#include "Framework/HistogramRegistry.h"
#include "Framework/RunningWorkflowInfo.h"
#include "Framework/StepTHn.h"
#include "Framework/runDataProcessing.h"
#include "ReconstructionDataFormats/Track.h"
#include <CCDB/BasicCCDBManager.h>
#include "TF1.h"
#include "TRandom3.h"
#include <TPDGCode.h>
#include <string>
#include <typeinfo>
#include <vector>
using namespace o2;
using namespace o2::framework;
using namespace o2::framework::expressions;
// define the filtered collisions and tracks
#define O2_DEFINE_CONFIGURABLE(NAME, TYPE, DEFAULT, HELP) Configurable<TYPE> NAME{#NAME, DEFAULT, HELP};
struct FlowDecorrelation {
Service<ccdb::BasicCCDBManager> ccdb;
O2_DEFINE_CONFIGURABLE(cfgCutVtxZ, float, 10.0f, "Accepted z-vertex range")
O2_DEFINE_CONFIGURABLE(cfgCutPtMin, float, 0.2f, "minimum accepted track pT")
O2_DEFINE_CONFIGURABLE(cfgCutPtMax, float, 10.0f, "maximum accepted track pT")
O2_DEFINE_CONFIGURABLE(cfgCutChi2prTPCcls, float, 2.5f, "max chi2 per TPC clusters")
O2_DEFINE_CONFIGURABLE(cfgCutTPCclu, float, 50.0f, "minimum TPC clusters")
O2_DEFINE_CONFIGURABLE(cfgCutTPCCrossedRows, float, 70.0f, "minimum TPC crossed rows")
O2_DEFINE_CONFIGURABLE(cfgCutITSclu, float, 5.0f, "minimum ITS clusters")
O2_DEFINE_CONFIGURABLE(cfgCutDCAz, float, 2.0f, "max DCA to vertex z")
O2_DEFINE_CONFIGURABLE(cfgSelCollByNch, bool, true, "Select collisions by Nch or centrality")
O2_DEFINE_CONFIGURABLE(cfgCutMultMin, int, 0, "Minimum multiplicity for collision")
O2_DEFINE_CONFIGURABLE(cfgCutMultMax, int, 10, "Maximum multiplicity for collision")
O2_DEFINE_CONFIGURABLE(cfgCutCentMin, float, 60.0f, "Minimum centrality for collision")
O2_DEFINE_CONFIGURABLE(cfgCutCentMax, float, 80.0f, "Maximum centrality for collision")
O2_DEFINE_CONFIGURABLE(cfgMixEventNumMin, int, 5, "Minimum number of events to mix")
O2_DEFINE_CONFIGURABLE(cfgSampleSize, double, 10, "Sample size for mixed event")
O2_DEFINE_CONFIGURABLE(cfgCentEstimator, int, 0, "0:FT0C; 1:FT0CVariant1; 2:FT0M; 3:FT0A")
O2_DEFINE_CONFIGURABLE(cfgCentTableUnavailable, bool, false, "if a dataset does not provide centrality information")
O2_DEFINE_CONFIGURABLE(cfgUseAdditionalEventCut, bool, false, "Use additional event cut on mult correlations")
O2_DEFINE_CONFIGURABLE(cfgEvSelkNoSameBunchPileup, bool, false, "rejects collisions which are associated with the same found-by-T0 bunch crossing")
O2_DEFINE_CONFIGURABLE(cfgEvSelkNoITSROFrameBorder, bool, false, "reject events at ITS ROF border")
O2_DEFINE_CONFIGURABLE(cfgEvSelkNoTimeFrameBorder, bool, false, "reject events at TF border")
O2_DEFINE_CONFIGURABLE(cfgEvSelkIsGoodZvtxFT0vsPV, bool, false, "removes collisions with large differences between z of PV by tracks and z of PV from FT0 A-C time difference, use this cut at low multiplicities with caution")
O2_DEFINE_CONFIGURABLE(cfgEvSelkNoCollInTimeRangeStandard, bool, false, "no collisions in specified time range")
O2_DEFINE_CONFIGURABLE(cfgEvSelkIsGoodITSLayersAll, bool, true, "cut time intervals with dead ITS staves")
O2_DEFINE_CONFIGURABLE(cfgEvSelkIsGoodITSLayer0123, bool, false, "cut time intervals with dead ITS staves (layers 0-3 only, for pp)")
O2_DEFINE_CONFIGURABLE(cfgEvSelkNoCollInRofStandard, bool, false, "no other collisions in this Readout Frame with per-collision multiplicity above threshold")
O2_DEFINE_CONFIGURABLE(cfgEvSelkNoHighMultCollInPrevRof, bool, false, "veto an event if FT0C amplitude in previous ITS ROF is above threshold")
O2_DEFINE_CONFIGURABLE(cfgEvSelMultCorrelation, bool, true, "Multiplicity correlation cut")
O2_DEFINE_CONFIGURABLE(cfgEvSelV0AT0ACut, bool, true, "V0A T0A 5 sigma cut")
O2_DEFINE_CONFIGURABLE(cfgEvSelOccupancy, bool, true, "Occupancy cut")
O2_DEFINE_CONFIGURABLE(cfgCutOccupancyHigh, int, 2000, "High cut on TPC occupancy")
O2_DEFINE_CONFIGURABLE(cfgCutOccupancyLow, int, 0, "Low cut on TPC occupancy")
O2_DEFINE_CONFIGURABLE(cfgEfficiency, std::string, "", "CCDB path to efficiency object")
O2_DEFINE_CONFIGURABLE(cfgCentralityWeight, std::string, "", "CCDB path to centrality weight object")
O2_DEFINE_CONFIGURABLE(cfgLocalEfficiency, bool, false, "Use local efficiency object")
O2_DEFINE_CONFIGURABLE(cfgUseEventWeights, bool, false, "Use event weights for mixed event")
O2_DEFINE_CONFIGURABLE(cfgDrawEtaPhiDis, bool, false, "draw eta-phi distribution for detectors in used")
struct : ConfigurableGroup {
O2_DEFINE_CONFIGURABLE(nClustersMftTrack, int, 5, "Minimum number of clusters for MFT track")
O2_DEFINE_CONFIGURABLE(cfgCutChi2Mft, float, -1.0f, "max chi2 of MFT track")
O2_DEFINE_CONFIGURABLE(cfgCutTrackTimeMft, float, -1.0f, "max deviation of MFT track wrt. bc in ns");
} cfgMftCuts;
struct : ConfigurableGroup {
O2_DEFINE_CONFIGURABLE(cfgRejectFT0AInside, bool, false, "Rejection of inner ring channels of the FT0A detector")
O2_DEFINE_CONFIGURABLE(cfgRejectFT0AOutside, bool, false, "Rejection of outer ring channels of the FT0A detector")
O2_DEFINE_CONFIGURABLE(cfgRejectFT0CInside, bool, false, "Rejection of inner ring channels of the FT0C detector")
O2_DEFINE_CONFIGURABLE(cfgRejectFT0COutside, bool, false, "Rejection of outer ring channels of the FT0C detector");
} cfgFt0RingRejections;
struct : ConfigurableGroup {
O2_DEFINE_CONFIGURABLE(cfgEtaTpcCut, float, 0.8f, "Eta cut of TPC MC particles")
O2_DEFINE_CONFIGURABLE(cfgMinEtaFt0cCut, float, -3.4f, "Min eta cut of FT0C MC particles")
O2_DEFINE_CONFIGURABLE(cfgMaxEtaFt0cCut, float, -2.0f, "Max eta cut of FT0C MC particles")
O2_DEFINE_CONFIGURABLE(cfgUseFt0cStructure, bool, true, "Use the true structure of FT0C in MC-true");
O2_DEFINE_CONFIGURABLE(cfgUseCFStepAll, bool, true, "Use CFStepAll in addition to primry");
} cfgMcTrue;
struct : ConfigurableGroup {
O2_DEFINE_CONFIGURABLE(cfgMultCentHighCutFunction, std::string, "[0] + [1]*x + [2]*x*x + [3]*x*x*x + [4]*x*x*x*x + 10.*([5] + [6]*x + [7]*x*x + [8]*x*x*x + [9]*x*x*x*x)", "Functional for multiplicity correlation cut");
O2_DEFINE_CONFIGURABLE(cfgMultCentLowCutFunction, std::string, "[0] + [1]*x + [2]*x*x + [3]*x*x*x + [4]*x*x*x*x - 3.*([5] + [6]*x + [7]*x*x + [8]*x*x*x + [9]*x*x*x*x)", "Functional for multiplicity correlation cut");
O2_DEFINE_CONFIGURABLE(cfgMultT0CCutEnabled, bool, false, "Enable Global multiplicity vs T0C centrality cut")
Configurable<std::vector<double>> cfgMultT0CCutPars{"cfgMultT0CCutPars", std::vector<double>{143.04, -4.58368, 0.0766055, -0.000727796, 2.86153e-06, 23.3108, -0.36304, 0.00437706, -4.717e-05, 1.98332e-07}, "Global multiplicity vs T0C centrality cut parameter values"};
O2_DEFINE_CONFIGURABLE(cfgMultPVT0CCutEnabled, bool, false, "Enable PV multiplicity vs T0C centrality cut")
Configurable<std::vector<double>> cfgMultPVT0CCutPars{"cfgMultPVT0CCutPars", std::vector<double>{195.357, -6.15194, 0.101313, -0.000955828, 3.74793e-06, 30.0326, -0.43322, 0.00476265, -5.11206e-05, 2.13613e-07}, "PV multiplicity vs T0C centrality cut parameter values"};
O2_DEFINE_CONFIGURABLE(cfgMultMultPVHighCutFunction, std::string, "[0]+[1]*x + 5.*([2]+[3]*x)", "Functional for multiplicity correlation cut");
O2_DEFINE_CONFIGURABLE(cfgMultMultPVLowCutFunction, std::string, "[0]+[1]*x - 5.*([2]+[3]*x)", "Functional for multiplicity correlation cut");
O2_DEFINE_CONFIGURABLE(cfgMultGlobalPVCutEnabled, bool, false, "Enable global multiplicity vs PV multiplicity cut")
Configurable<std::vector<double>> cfgMultGlobalPVCutPars{"cfgMultGlobalPVCutPars", std::vector<double>{-0.140809, 0.734344, 2.77495, 0.0165935}, "PV multiplicity vs T0C centrality cut parameter values"};
O2_DEFINE_CONFIGURABLE(cfgMultMultV0AHighCutFunction, std::string, "[0] + [1]*x + [2]*x*x + [3]*x*x*x + [4]*x*x*x*x + 4.*([5] + [6]*x + [7]*x*x + [8]*x*x*x + [9]*x*x*x*x)", "Functional for multiplicity correlation cut");
O2_DEFINE_CONFIGURABLE(cfgMultMultV0ALowCutFunction, std::string, "[0] + [1]*x + [2]*x*x + [3]*x*x*x + [4]*x*x*x*x - 3.*([5] + [6]*x + [7]*x*x + [8]*x*x*x + [9]*x*x*x*x)", "Functional for multiplicity correlation cut");
O2_DEFINE_CONFIGURABLE(cfgMultMultV0ACutEnabled, bool, false, "Enable global multiplicity vs V0A multiplicity cut")
Configurable<std::vector<double>> cfgMultMultV0ACutPars{"cfgMultMultV0ACutPars", std::vector<double>{534.893, 184.344, 0.423539, -0.00331436, 5.34622e-06, 871.239, 53.3735, -0.203528, 0.000122758, 5.41027e-07}, "Global multiplicity vs V0A multiplicity cut parameter values"};
std::vector<double> multT0CCutPars;
std::vector<double> multPVT0CCutPars;
std::vector<double> multGlobalPVCutPars;
std::vector<double> multMultV0ACutPars;
TF1* fMultPVT0CCutLow = nullptr;
TF1* fMultPVT0CCutHigh = nullptr;
TF1* fMultT0CCutLow = nullptr;
TF1* fMultT0CCutHigh = nullptr;
TF1* fMultGlobalPVCutLow = nullptr;
TF1* fMultGlobalPVCutHigh = nullptr;
TF1* fMultMultV0ACutLow = nullptr;
TF1* fMultMultV0ACutHigh = nullptr;
TF1* fT0AV0AMean = nullptr;
TF1* fT0AV0ASigma = nullptr;
} cfgFuncParas;
SliceCache cache;
ConfigurableAxis axisVertex{"axisVertex", {10, -10, 10}, "vertex axis for histograms"};
ConfigurableAxis axisMultiplicity{"axisMultiplicity", {VARIABLE_WIDTH, 0, 10, 20, 40, 60, 80, 100, 120, 140, 160, 180, 200, 220, 240, 260}, "multiplicity axis for histograms"};
ConfigurableAxis axisEta{"axisEta", {70, -5.0, 5.0}, "eta axis for histograms"};
ConfigurableAxis axisDeltaPhi{"axisDeltaPhi", {72, -PIHalf, PIHalf * 3}, "delta phi axis for histograms"};
ConfigurableAxis axisDeltaEtaTpcFt0a{"axisDeltaEtaTpcFt0a", {32, -5.8, -2.6}, "delta eta axis, -5.8~-2.6 for TPC-FT0A,"};
ConfigurableAxis axisDeltaEtaTpcFt0c{"axisDeltaEtaTpcFt0c", {32, 1.2, 4.2}, "delta eta axis, 1.2~4.2 for TPC-FT0C"};
ConfigurableAxis axisDeltaEtaFt0aFt0c{"axisDeltaEtaFt0aFt0c", {32, 4.2, 8.2}, "delta eta axis, 4.2~8.2 for FT0A-FT0C"};
ConfigurableAxis axisDeltaEtaTpcMft{"axisDeltaEtaTpcMft", {32, 1.3, 4.8}, "delta eta axis, 1.3~4.8 for TPC-MFT"};
ConfigurableAxis axisDeltaEtaTpcFv0{"axisDeltaEtaTpcFv0", {32, -6.1, -1.2}, "delta eta axis for TPC-FV0 histograms"};
ConfigurableAxis axisEtaTrigger{"axisEtaTrigger", {VARIABLE_WIDTH, -3.4, -2.0, -0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8, 3.5, 4.9}, "eta trigger axis for histograms"};
ConfigurableAxis axisEtaAssoc{"axisEtaAssoc", {VARIABLE_WIDTH, -3.3, -2.1, -0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8, 3.5, 4.9}, "eta associated axis for histograms"};
ConfigurableAxis axisVtxMix{"axisVtxMix", {VARIABLE_WIDTH, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "vertex axis for mixed event histograms"};
ConfigurableAxis axisMultMix{"axisMultMix", {VARIABLE_WIDTH, 0, 10, 20, 40, 60, 80, 100, 120, 140, 160, 180, 200, 220, 240, 260}, "multiplicity / centrality axis for mixed event histograms"};
ConfigurableAxis axisSample{"axisSample", {cfgSampleSize, 0, cfgSampleSize}, "sample axis for histograms"};
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", {VARIABLE_WIDTH, 0.2, 0.5, 1, 1.5, 2, 3, 4, 6, 10}, "pt axis for efficiency histograms"};
ConfigurableAxis axisAmplitudeFt0a{"axisAmplitudeFt0a", {5000, 0, 1000}, "FT0A amplitude"};
ConfigurableAxis axisChannelFt0aAxis{"axisChannelFt0aAxis", {96, 0.0, 96.0}, "FT0A channel"};
Configurable<std::string> cfgGainEqPath{"cfgGainEqPath", "Analysis/EventPlane/GainEq", "CCDB path for gain equalization constants"};
Configurable<int> cfgCorrLevel{"cfgCorrLevel", 1, "calibration step: 0 = no corr, 1 = gain corr"};
ConfigurableAxis cfgaxisFITamp{"cfgaxisFITamp", {1000, 0, 5000}, ""};
AxisSpec axisFit{cfgaxisFITamp, "fit amplitude"};
AxisSpec axisChID = {220, 0, 220};
// make the filters and cuts.
Filter collisionFilter = (nabs(aod::collision::posZ) < cfgCutVtxZ);
Filter trackFilter = (aod::track::pt > cfgCutPtMin) && (aod::track::pt < cfgCutPtMax) && ((requireGlobalTrackInFilter()) || (aod::track::isGlobalTrackSDD == static_cast<uint8_t>(true))) && (aod::track::tpcChi2NCl < cfgCutChi2prTPCcls) && (nabs(aod::track::dcaZ) < cfgCutDCAz);
using FilteredCollisions = soa::Filtered<soa::Join<aod::Collisions, aod::EvSel, aod::CentFT0Cs, aod::CentFT0CVariant1s, aod::CentFT0Ms, aod::CentFV0As, aod::Mults>>;
using FilteredTracks = soa::Filtered<soa::Join<aod::Tracks, aod::TrackSelection, aod::TracksExtra, aod::TracksDCA>>;
Filter particleFilter = (nabs(aod::mcparticle::eta) < cfgMcTrue.cfgEtaTpcCut || ((aod::mcparticle::eta > cfgMcTrue.cfgMinEtaFt0cCut) && (aod::mcparticle::eta < cfgMcTrue.cfgMaxEtaFt0cCut))) && (aod::mcparticle::pt > cfgCutPtMin) && (aod::mcparticle::pt < cfgCutPtMax);
using FilteredMcParticles = soa::Filtered<aod::McParticles>;
// Filter for MCcollisions
Filter mccollisionFilter = nabs(aod::mccollision::posZ) < cfgCutVtxZ;
using FilteredMcCollisions = soa::Filtered<aod::McCollisions>;
using SmallGroupMcCollisions = soa::SmallGroups<soa::Join<aod::McCollisionLabels, aod::Collisions, aod::EvSel, aod::CentFT0Cs, aod::CentFT0CVariant1s, aod::CentFT0Ms, aod::CentFV0As, aod::Mults>>;
PresliceUnsorted<aod::McCollisionLabels> collisionPerMCCollision = aod::mccollisionlabel::mcCollisionId;
// FT0 geometry
o2::ft0::Geometry ft0Det;
o2::fv0::Geometry* fv0Det{};
static constexpr uint64_t Ft0IndexA = 96;
std::vector<o2::detectors::AlignParam>* offsetFT0;
std::vector<o2::detectors::AlignParam>* offsetFV0;
std::vector<float> cstFT0RelGain{};
// Corrections
TH3D* mEfficiency = nullptr;
TH1D* mCentralityWeight = nullptr;
bool correctionsLoaded = false;
// Define the outputs
OutputObj<CorrelationContainer> same{"sameEvent"};
OutputObj<CorrelationContainer> mixed{"mixedEvent"};
HistogramRegistry registry{"registry"};
// define global variables
TRandom3* gRandom = new TRandom3();
enum CentEstimators {
kCentFT0C = 0,
kCentFT0CVariant1,
kCentFT0M,
kCentFV0A,
// Count the total number of enum
kCount_CentEstimators
};
enum EventType {
SameEvent = 1,
MixedEvent = 3
};
enum FITIndex {
kFT0A = 0,
kFT0C = 1,
kFV0 = 2
};
enum ParticleNsigma {
kPionUp = 0,
kKaonUp,
kProtonUp,
kPionLow,
kKaonLow,
kProtonLow
};
enum DetectorType {
kTPC = 0,
kTOF,
kITS
};
enum DetectorChannels {
kFT0AInnerRingMin = 0,
kFT0AInnerRingMax = 31,
kFT0AOuterRingMin = 32,
kFT0AOuterRingMax = 95,
kFT0CInnerRingMin = 96,
kFT0CInnerRingMax = 143,
kFT0COuterRingMin = 144,
kFT0COuterRingMax = 207
};
std::array<float, 6> tofNsigmaCut;
std::array<float, 6> itsNsigmaCut;
std::array<float, 6> tpcNsigmaCut;
void init(InitContext&)
{
if (cfgCentTableUnavailable && !cfgSelCollByNch) {
LOGF(fatal, "Centrality table is unavailable, cannot select collisions by centrality");
}
const AxisSpec axisPhi{72, 0.0, constants::math::TwoPI, "#varphi"};
const AxisSpec axisEta{40, -1., 1., "#eta"};
const AxisSpec axisEtaFull{90, -4., 5., "#eta"};
const AxisSpec axisCentrality{20, 0., 100., "cent"};
ccdb->setURL("http://alice-ccdb.cern.ch");
ccdb->setCaching(true);
auto now = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now().time_since_epoch()).count();
ccdb->setCreatedNotAfter(now);
fv0Det = o2::fv0::Geometry::instance(o2::fv0::Geometry::eUninitialized);
LOGF(info, "Starting init");
// Event Counter
if ((doprocessSameTpcFt0a || doprocessSameTpcFt0c || doprocessSameFt0aFt0c || doprocessSameTpcMft || doprocessSameTpcFv0) && cfgUseAdditionalEventCut) {
registry.add("hEventCountSpecific", "Number of Event;; Count", {HistType::kTH1D, {{13, 0, 13}}});
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(1, "after sel8");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(2, "kNoSameBunchPileup");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(3, "kNoITSROFrameBorder");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(4, "kNoTimeFrameBorder");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(5, "kIsGoodZvtxFT0vsPV");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(6, "kNoCollInTimeRangeStandard");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(7, "kIsGoodITSLayersAll");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(8, "kIsGoodITSLayer0123");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(9, "kNoCollInRofStandard");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(10, "kNoHighMultCollInPrevRof");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(11, "occupancy");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(12, "MultCorrelation");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(13, "cfgEvSelV0AT0ACut");
}
if (doprocessMcSameTpcFt0c) {
registry.add("MCTrue/MCeventcount", "MCeventcount", {HistType::kTH1F, {{5, 0, 5, "bin"}}}); // histogram to see how many events are in the same and mixed event
registry.get<TH1>(HIST("MCTrue/MCeventcount"))->GetXaxis()->SetBinLabel(2, "same all");
registry.get<TH1>(HIST("MCTrue/MCeventcount"))->GetXaxis()->SetBinLabel(3, "same reco");
registry.get<TH1>(HIST("MCTrue/MCeventcount"))->GetXaxis()->SetBinLabel(4, "mixed all");
registry.get<TH1>(HIST("MCTrue/MCeventcount"))->GetXaxis()->SetBinLabel(5, "mixed reco");
registry.add("MCTrue/MCCentrality", "cent", {HistType::kTH1D, {axisCentrality}});
registry.add("MCTrue/MCNch", "N_{ch}", {HistType::kTH1D, {axisMultiplicity}});
registry.add("MCTrue/MCzVtx", "MCzVtx", {HistType::kTH1D, {axisVertex}});
registry.add("MCTrue/MCPhi", "MCPhi", {HistType::kTH1D, {axisPhi}});
registry.add("MCTrue/MCEta", "MCEta", {HistType::kTH1D, {axisEtaFull}});
registry.add("MCTrue/MCEtaTrueShape", "MCEta", {HistType::kTH1D, {axisEtaFull}});
registry.add("MCTrue/MCpT", "MCpT", {HistType::kTH1D, {axisPtEfficiency}});
registry.add("MCTrue/MCTrig_hist", "", {HistType::kTHnSparseF, {{axisSample, axisVertex, axisPtEfficiency}}});
registry.add("MCTrue/MCdeltaEta_deltaPhi_same", "", {HistType::kTH2D, {axisDeltaPhi, axisDeltaEtaTpcFt0c}}); // check to see the delta eta and delta phi distribution
registry.add("MCTrue/MCdeltaEta_deltaPhi_mixed", "", {HistType::kTH2D, {axisDeltaPhi, axisDeltaEtaTpcFt0c}});
}
if (cfgEvSelMultCorrelation) {
cfgFuncParas.multT0CCutPars = cfgFuncParas.cfgMultT0CCutPars;
cfgFuncParas.multPVT0CCutPars = cfgFuncParas.cfgMultPVT0CCutPars;
cfgFuncParas.multGlobalPVCutPars = cfgFuncParas.cfgMultGlobalPVCutPars;
cfgFuncParas.multMultV0ACutPars = cfgFuncParas.cfgMultMultV0ACutPars;
cfgFuncParas.fMultPVT0CCutLow = new TF1("fMultPVT0CCutLow", cfgFuncParas.cfgMultCentLowCutFunction->c_str(), 0, 100);
cfgFuncParas.fMultPVT0CCutLow->SetParameters(&(cfgFuncParas.multPVT0CCutPars[0]));
cfgFuncParas.fMultPVT0CCutHigh = new TF1("fMultPVT0CCutHigh", cfgFuncParas.cfgMultCentHighCutFunction->c_str(), 0, 100);
cfgFuncParas.fMultPVT0CCutHigh->SetParameters(&(cfgFuncParas.multPVT0CCutPars[0]));
cfgFuncParas.fMultT0CCutLow = new TF1("fMultT0CCutLow", cfgFuncParas.cfgMultCentLowCutFunction->c_str(), 0, 100);
cfgFuncParas.fMultT0CCutLow->SetParameters(&(cfgFuncParas.multT0CCutPars[0]));
cfgFuncParas.fMultT0CCutHigh = new TF1("fMultT0CCutHigh", cfgFuncParas.cfgMultCentHighCutFunction->c_str(), 0, 100);
cfgFuncParas.fMultT0CCutHigh->SetParameters(&(cfgFuncParas.multT0CCutPars[0]));
cfgFuncParas.fMultGlobalPVCutLow = new TF1("fMultGlobalPVCutLow", cfgFuncParas.cfgMultMultPVLowCutFunction->c_str(), 0, 4000);
cfgFuncParas.fMultGlobalPVCutLow->SetParameters(&(cfgFuncParas.multGlobalPVCutPars[0]));
cfgFuncParas.fMultGlobalPVCutHigh = new TF1("fMultGlobalPVCutHigh", cfgFuncParas.cfgMultMultPVHighCutFunction->c_str(), 0, 4000);
cfgFuncParas.fMultGlobalPVCutHigh->SetParameters(&(cfgFuncParas.multGlobalPVCutPars[0]));
cfgFuncParas.fMultMultV0ACutLow = new TF1("fMultMultV0ACutLow", cfgFuncParas.cfgMultMultV0ALowCutFunction->c_str(), 0, 4000);
cfgFuncParas.fMultMultV0ACutLow->SetParameters(&(cfgFuncParas.multMultV0ACutPars[0]));
cfgFuncParas.fMultMultV0ACutHigh = new TF1("fMultMultV0ACutHigh", cfgFuncParas.cfgMultMultV0AHighCutFunction->c_str(), 0, 4000);
cfgFuncParas.fMultMultV0ACutHigh->SetParameters(&(cfgFuncParas.multMultV0ACutPars[0]));
cfgFuncParas.fT0AV0AMean = new TF1("fT0AV0AMean", "[0]+[1]*x", 0, 200000);
cfgFuncParas.fT0AV0AMean->SetParameters(-1601.0581, 9.417652e-01);
cfgFuncParas.fT0AV0ASigma = new TF1("fT0AV0ASigma", "[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x", 0, 200000);
cfgFuncParas.fT0AV0ASigma->SetParameters(463.4144, 6.796509e-02, -9.097136e-07, 7.971088e-12, -2.600581e-17);
}
std::string hCentTitle = "Centrality distribution, Estimator " + std::to_string(cfgCentEstimator);
// Make histograms to check the distributions after cuts
if (doprocessSameTpcFt0a || doprocessSameTpcFt0c || doprocessSameFt0aFt0c || doprocessSameTpcMft || doprocessSameTpcFv0) {
registry.add("Phi", "Phi", {HistType::kTH1D, {axisPhi}});
registry.add("Eta", "Eta", {HistType::kTH1D, {axisEta}});
registry.add("EtaCorrected", "EtaCorrected", {HistType::kTH1D, {axisEta}});
registry.add("Nch", "N_{ch}", {HistType::kTH1D, {axisMultiplicity}});
registry.add("Nch_used", "N_{ch}", {HistType::kTH1D, {axisMultiplicity}}); // histogram to see how many events are in the same and mixed event
registry.add("Centrality", hCentTitle.c_str(), {HistType::kTH1D, {{100, 0, 100}}});
registry.add("CentralityWeighted", hCentTitle.c_str(), {HistType::kTH1D, {{100, 0, 100}}});
registry.add("Centrality_used", hCentTitle.c_str(), {HistType::kTH1D, {{100, 0, 100}}}); // histogram to see how many events are in the same and mixed event
registry.add("zVtx", "zVtx", {HistType::kTH1D, {axisVertex}});
registry.add("pTCorrected", "pTCorrected", {HistType::kTH1D, {axisPtEfficiency}});
registry.add("pT", "pT", {HistType::kTH1D, {axisPtEfficiency}});
registry.add("zVtx_used", "zVtx_used", {HistType::kTH1D, {axisVertex}});
registry.add("FT0Amp", "", {HistType::kTH2F, {axisChID, axisFit}});
registry.add("FT0AmpCorrect", "", {HistType::kTH2F, {axisChID, axisFit}});
if (cfgDrawEtaPhiDis) {
registry.add("EtaPhi", "", {HistType::kTH2F, {axisEtaFull, axisPhi}});
}
}
if (doprocessSameTpcFt0a) {
registry.add("deltaEta_deltaPhi_same_TPC_FT0A", "", {HistType::kTH2D, {axisDeltaPhi, axisDeltaEtaTpcFt0a}}); // check to see the delta eta and delta phi distribution
registry.add("deltaEta_deltaPhi_mixed_TPC_FT0A", "", {HistType::kTH2D, {axisDeltaPhi, axisDeltaEtaTpcFt0a}});
registry.add("Assoc_amp_same_TPC_FT0A", "", {HistType::kTH2D, {axisChannelFt0aAxis, axisAmplitudeFt0a}});
registry.add("Assoc_amp_mixed_TPC_FT0A", "", {HistType::kTH2D, {axisChannelFt0aAxis, axisAmplitudeFt0a}});
registry.add("Trig_hist_TPC_FT0A", "", {HistType::kTHnSparseF, {{axisSample, axisVertex, axisEtaTrigger}}});
}
if (doprocessSameTpcFt0c) {
registry.add("deltaEta_deltaPhi_same_TPC_FT0C", "", {HistType::kTH2D, {axisDeltaPhi, axisDeltaEtaTpcFt0c}}); // check to see the delta eta and delta phi distribution
registry.add("deltaEta_deltaPhi_mixed_TPC_FT0C", "", {HistType::kTH2D, {axisDeltaPhi, axisDeltaEtaTpcFt0c}});
registry.add("Assoc_amp_same_TPC_FT0C", "", {HistType::kTH2D, {axisChannelFt0aAxis, axisAmplitudeFt0a}});
registry.add("Assoc_amp_mixed_TPC_FT0C", "", {HistType::kTH2D, {axisChannelFt0aAxis, axisAmplitudeFt0a}});
registry.add("Trig_hist_TPC_FT0C", "", {HistType::kTHnSparseF, {{axisSample, axisVertex, axisEtaTrigger}}});
}
if (doprocessSameFt0aFt0c) {
registry.add("deltaEta_deltaPhi_same_FT0A_FT0C", "", {HistType::kTH2D, {axisDeltaPhi, axisDeltaEtaFt0aFt0c}}); // check to see the delta eta and delta phi distribution
registry.add("deltaEta_deltaPhi_mixed_FT0A_FT0C", "", {HistType::kTH2D, {axisDeltaPhi, axisDeltaEtaFt0aFt0c}});
registry.add("Assoc_amp_same_FT0A_FT0C", "", {HistType::kTH2D, {axisChannelFt0aAxis, axisAmplitudeFt0a}});
registry.add("Assoc_amp_mixed_FT0A_FT0C", "", {HistType::kTH2D, {axisChannelFt0aAxis, axisAmplitudeFt0a}});
registry.add("Trig_hist_FT0A_FT0C", "", {HistType::kTHnSparseF, {{axisSample, axisVertex, axisEtaTrigger}}});
}
if (doprocessSameTpcMft) {
registry.add("deltaEta_deltaPhi_same_TPC_MFT", "", {HistType::kTH2D, {axisDeltaPhi, axisDeltaEtaTpcMft}}); // check to see the delta eta and delta phi distribution
registry.add("deltaEta_deltaPhi_mixed_TPC_MFT", "", {HistType::kTH2D, {axisDeltaPhi, axisDeltaEtaTpcMft}});
registry.add("Trig_hist_TPC_MFT", "", {HistType::kTHnSparseF, {{axisSample, axisVertex, axisEtaTrigger}}});
}
if (doprocessSameTpcFv0) {
registry.add("deltaEta_deltaPhi_same_TPC_FV0", "", {HistType::kTH2D, {axisDeltaPhi, axisDeltaEtaTpcFv0}}); // check to see the delta eta and delta phi distribution
registry.add("deltaEta_deltaPhi_mixed_TPC_FV0", "", {HistType::kTH2D, {axisDeltaPhi, axisDeltaEtaTpcFv0}});
registry.add("Assoc_amp_same_TPC_FV0", "", {HistType::kTH2D, {axisChannelFt0aAxis, axisAmplitudeFt0a}});
registry.add("Assoc_amp_mixed_TPC_FV0", "", {HistType::kTH2D, {axisChannelFt0aAxis, axisAmplitudeFt0a}});
registry.add("Trig_hist_TPC_FV0", "", {HistType::kTHnSparseF, {{axisSample, axisVertex, axisEtaTrigger}}});
registry.add("FV0Amp", "", {HistType::kTH2F, {axisChID, axisFit}});
}
registry.add("eventcount", "bin", {HistType::kTH1F, {{4, 0, 4, "bin"}}}); // histogram to see how many events are in the same and mixed event
LOGF(info, "Initializing correlation container");
std::vector<AxisSpec> effAxis = {
{axisEtaEfficiency, "#eta"},
{axisPtEfficiency, "p_{T} (GeV/c)"},
{axisVertexEfficiency, "z-vtx (cm)"},
};
std::vector<AxisSpec> userAxis;
std::vector<AxisSpec> corrAxisTpcFt0a = {{axisSample, "Sample"},
{axisVertex, "z-vtx (cm)"},
{axisEtaTrigger, "#eta"},
{axisEtaAssoc, "#eta"},
{axisDeltaPhi, "#Delta#varphi (rad)"},
{axisDeltaEtaTpcFt0a, "#Delta#eta"}};
std::vector<AxisSpec> corrAxisTpcFt0c = {{axisSample, "Sample"},
{axisVertex, "z-vtx (cm)"},
{axisEtaTrigger, "#eta"},
{axisEtaAssoc, "#eta"},
{axisDeltaPhi, "#Delta#varphi (rad)"},
{axisDeltaEtaTpcFt0c, "#Delta#eta"}};
std::vector<AxisSpec> corrAxisFt0aFt0c = {{axisSample, "Sample"},
{axisVertex, "z-vtx (cm)"},
{axisEtaTrigger, "#eta"},
{axisEtaAssoc, "#eta"},
{axisDeltaPhi, "#Delta#varphi (rad)"},
{axisDeltaEtaFt0aFt0c, "#Delta#eta"}};
std::vector<AxisSpec> corrAxisTpcMft = {{axisSample, "Sample"},
{axisVertex, "z-vtx (cm)"},
{axisEtaTrigger, "#eta"},
{axisEtaAssoc, "#eta"},
{axisDeltaPhi, "#Delta#varphi (rad)"},
{axisDeltaEtaTpcMft, "#Delta#eta"}};
std::vector<AxisSpec> corrAxisTpcFv0 = {{axisSample, "Sample"},
{axisVertex, "z-vtx (cm)"},
{axisEtaTrigger, "#eta"},
{axisEtaAssoc, "#eta"},
{axisDeltaPhi, "#Delta#varphi (rad)"},
{axisDeltaEtaTpcFv0, "#Delta#eta"}};
if (doprocessSameTpcFt0a) {
same.setObject(new CorrelationContainer("sameEvent_TPC_FT0A", "sameEvent_TPC_FT0A", corrAxisTpcFt0a, effAxis, userAxis));
mixed.setObject(new CorrelationContainer("mixedEvent_TPC_FT0A", "mixedEvent_TPC_FT0A", corrAxisTpcFt0a, effAxis, userAxis));
}
if (doprocessSameTpcFt0c) {
same.setObject(new CorrelationContainer("sameEvent_TPC_FT0C", "sameEvent_TPC_FT0C", corrAxisTpcFt0c, effAxis, userAxis));
mixed.setObject(new CorrelationContainer("mixedEvent_TPC_FT0C", "mixedEvent_TPC_FT0C", corrAxisTpcFt0c, effAxis, userAxis));
}
if (doprocessSameFt0aFt0c) {
same.setObject(new CorrelationContainer("sameEvent_FT0A_FT0C", "sameEvent_FT0A_FT0C", corrAxisFt0aFt0c, effAxis, userAxis));
mixed.setObject(new CorrelationContainer("mixedEvent_FT0A_FT0C", "mixedEvent_FT0A_FT0C", corrAxisFt0aFt0c, effAxis, userAxis));
}
if (doprocessSameTpcMft) {
same.setObject(new CorrelationContainer("sameEvent_TPC_MFT", "sameEvent_TPC_MFT", corrAxisTpcMft, effAxis, userAxis));
mixed.setObject(new CorrelationContainer("mixedEvent_TPC_MFT", "mixedEvent_TPC_MFT", corrAxisTpcMft, effAxis, userAxis));
}
if (doprocessSameTpcFv0) {
same.setObject(new CorrelationContainer("sameEvent_TPC_FV0", "sameEvent_TPC_FV0", corrAxisTpcFv0, effAxis, userAxis));
mixed.setObject(new CorrelationContainer("mixedEvent_TPC_FV0", "mixedEvent_TPC_FV0", corrAxisTpcFv0, effAxis, userAxis));
}
if (doprocessMcSameTpcFt0c) {
same.setObject(new CorrelationContainer("sameEvent_TPC_FV0", "sameEvent_TPC_FV0", corrAxisTpcFt0c, effAxis, userAxis));
mixed.setObject(new CorrelationContainer("mixedEvent_TPC_FV0", "mixedEvent_TPC_FV0", corrAxisTpcFt0c, effAxis, userAxis));
}
LOGF(info, "End of init");
}
template <typename TTrackAssoc>
bool isAcceptedMftTrack(TTrackAssoc const& mftTrack)
{
// cut on the number of clusters of the reconstructed MFT track
if (mftTrack.nClusters() < cfgMftCuts.nClustersMftTrack)
return false;
if (cfgMftCuts.cfgCutChi2Mft > 0. && mftTrack.chi2() > cfgMftCuts.cfgCutChi2Mft)
return false;
if (cfgMftCuts.cfgCutTrackTimeMft > 0. && std::abs(mftTrack.trackTime()) > cfgMftCuts.cfgCutTrackTimeMft)
return false;
return true;
}
double getPhiFV0(uint64_t chno)
{
o2::fv0::Point3Dsimple chPos{};
int const cellsInLeft[] = {0, 1, 2, 3, 8, 9, 10, 11, 16, 17, 18, 19, 24, 25, 26, 27, 32, 40, 33, 41, 34, 42, 35, 43};
bool const isChnoInLeft = std::find(std::begin(cellsInLeft), std::end(cellsInLeft), chno) != std::end(cellsInLeft);
if (isChnoInLeft) {
chPos = fv0Det->getReadoutCenter(chno);
return RecoDecay::phi(chPos.x + (*offsetFV0)[0].getX(), chPos.y + (*offsetFV0)[0].getY());
} else {
chPos = fv0Det->getReadoutCenter(chno);
return RecoDecay::phi(chPos.x + (*offsetFV0)[1].getX(), chPos.y + (*offsetFV0)[1].getY());
}
}
double getEtaFV0(uint64_t chno)
{
int const cellsInLeft[] = {0, 1, 2, 3, 8, 9, 10, 11, 16, 17, 18, 19, 24, 25, 26, 27, 32, 40, 33, 41, 34, 42, 35, 43};
bool const isChnoInLeft = std::find(std::begin(cellsInLeft), std::end(cellsInLeft), chno) != std::end(cellsInLeft);
o2::fv0::Point3Dsimple chPos{};
chPos = fv0Det->getReadoutCenter(chno);
float offsetX, offsetY, offsetZ;
if (isChnoInLeft) {
offsetX = (*offsetFV0)[0].getX();
offsetY = (*offsetFV0)[0].getY();
offsetZ = (*offsetFV0)[0].getZ();
} else {
offsetX = (*offsetFV0)[1].getX();
offsetY = (*offsetFV0)[1].getY();
offsetZ = (*offsetFV0)[1].getZ();
}
auto x = chPos.x + offsetX;
auto y = chPos.y + offsetY;
auto z = chPos.z + offsetZ;
auto r = std::sqrt(x * x + y * y);
auto theta = std::atan2(r, z);
return -std::log(std::tan(0.5 * theta));
}
double getPhiFT0(uint64_t chno, int i)
{
// offsetFT0[0]: FT0A, offsetFT0[1]: FT0C
if (i > 1 || i < 0) {
LOGF(fatal, "kFIT Index %d out of range", i);
}
ft0Det.calculateChannelCenter();
auto chPos = ft0Det.getChannelCenter(chno);
return RecoDecay::phi(chPos.X() + (*offsetFT0)[i].getX(), chPos.Y() + (*offsetFT0)[i].getY());
}
double getEtaFT0(uint64_t chno, int i)
{
// offsetFT0[0]: FT0A, offsetFT0[1]: FT0C
if (i > 1 || i < 0) {
LOGF(fatal, "kFIT Index %d out of range", i);
}
ft0Det.calculateChannelCenter();
auto chPos = ft0Det.getChannelCenter(chno);
auto x = chPos.X() + (*offsetFT0)[i].getX();
auto y = chPos.Y() + (*offsetFT0)[i].getY();
auto z = chPos.Z() + (*offsetFT0)[i].getZ();
if (chno >= Ft0IndexA) {
z = -z;
}
auto r = std::sqrt(x * x + y * y);
auto theta = std::atan2(r, z);
return -std::log(std::tan(0.5 * theta));
}
template <typename TCollision>
float getCentrality(TCollision const& collision)
{
float cent;
switch (cfgCentEstimator) {
case kCentFT0C:
cent = collision.centFT0C();
break;
case kCentFT0CVariant1:
cent = collision.centFT0CVariant1();
break;
case kCentFT0M:
cent = collision.centFT0M();
break;
case kCentFV0A:
cent = collision.centFV0A();
break;
default:
cent = collision.centFT0C();
}
return cent;
}
template <typename TTrack>
bool trackSelected(TTrack track)
{
return ((track.tpcNClsFound() >= cfgCutTPCclu) && (track.tpcNClsCrossedRows() >= cfgCutTPCCrossedRows) && (track.itsNCls() >= cfgCutITSclu));
}
void loadAlignParam(uint64_t timestamp)
{
offsetFT0 = ccdb->getForTimeStamp<std::vector<o2::detectors::AlignParam>>("FT0/Calib/Align", timestamp);
offsetFV0 = ccdb->getForTimeStamp<std::vector<o2::detectors::AlignParam>>("FV0/Calib/Align", timestamp);
if (offsetFT0 == nullptr) {
LOGF(fatal, "Could not load FT0/Calib/Align for timestamp %d", timestamp);
}
if (offsetFV0 == nullptr) {
LOGF(fatal, "Could not load FV0/Calib/Align for timestamp %d", timestamp);
}
}
void loadGain(aod::BCsWithTimestamps::iterator const& bc)
{
cstFT0RelGain.clear();
cstFT0RelGain = {};
std::string fullPath;
auto timestamp = bc.timestamp();
constexpr int ChannelsFT0 = 208;
if (cfgCorrLevel == 0) {
for (auto i{0u}; i < ChannelsFT0; i++) {
cstFT0RelGain.push_back(1.);
}
} else {
fullPath = cfgGainEqPath;
fullPath += "/FT0";
const auto objft0Gain = ccdb->getForTimeStamp<std::vector<float>>(fullPath, timestamp);
if (!objft0Gain) {
for (auto i{0u}; i < ChannelsFT0; i++) {
cstFT0RelGain.push_back(1.);
}
} else {
cstFT0RelGain = *(objft0Gain);
}
}
}
void loadCorrection(uint64_t timestamp)
{
if (correctionsLoaded) {
return;
}
if (cfgEfficiency.value.empty() == false) {
if (cfgLocalEfficiency > 0) {
TFile* fEfficiencyTrigger = TFile::Open(cfgEfficiency.value.c_str(), "READ");
mEfficiency = reinterpret_cast<TH3D*>(fEfficiencyTrigger->Get("ccdb_object"));
} else {
mEfficiency = ccdb->getForTimeStamp<TH3D>(cfgEfficiency, timestamp);
}
if (mEfficiency == nullptr) {
LOGF(fatal, "Could not load efficiency histogram for trigger particles from %s", cfgEfficiency.value.c_str());
}
LOGF(info, "Loaded efficiency histogram from %s (%p)", cfgEfficiency.value.c_str(), (void*)mEfficiency);
}
if (cfgCentralityWeight.value.empty() == false) {
mCentralityWeight = ccdb->getForTimeStamp<TH1D>(cfgCentralityWeight, timestamp);
if (mCentralityWeight == nullptr) {
LOGF(fatal, "Could not load efficiency histogram for trigger particles from %s", cfgCentralityWeight.value.c_str());
}
LOGF(info, "Loaded efficiency histogram from %s (%p)", cfgCentralityWeight.value.c_str(), (void*)mCentralityWeight);
}
correctionsLoaded = true;
}
bool getEfficiencyCorrection(float& weight_nue, float eta, float pt, float posZ)
{
float eff = 1.;
if (mEfficiency) {
int etaBin = mEfficiency->GetXaxis()->FindBin(eta);
int ptBin = mEfficiency->GetYaxis()->FindBin(pt);
int zBin = mEfficiency->GetZaxis()->FindBin(posZ);
eff = mEfficiency->GetBinContent(etaBin, ptBin, zBin);
} else {
eff = 1.0;
}
if (eff == 0)
return false;
weight_nue = 1. / eff;
return true;
}
bool getCentralityWeight(float& weightCent, const float centrality)
{
float weight = 1.;
if (mCentralityWeight)
weight = mCentralityWeight->GetBinContent(mCentralityWeight->FindBin(centrality));
else
weight = 1.0;
if (weight == 0)
return false;
weightCent = weight;
return true;
}
// fill multiple histograms
template <typename TCollision, typename TTracks>
void fillYield(TCollision collision, TTracks tracks) // function to fill the yield and etaphi histograms.
{
float weff1 = 1;
float vtxz = collision.posZ();
for (auto const& track1 : tracks) {
if (!trackSelected(track1))
continue;
if (!getEfficiencyCorrection(weff1, track1.eta(), track1.pt(), vtxz))
continue;
registry.fill(HIST("Phi"), RecoDecay::constrainAngle(track1.phi(), 0.0));
registry.fill(HIST("Eta"), track1.eta());
registry.fill(HIST("EtaCorrected"), track1.eta(), weff1);
registry.fill(HIST("pT"), track1.pt());
registry.fill(HIST("pTCorrected"), track1.pt(), weff1);
}
}
template <typename TFT0s>
void getChannel(TFT0s const& ft0, std::size_t const& iCh, int& id, float& ampl, int fitType)
{
if (fitType == kFT0C) {
id = ft0.channelC()[iCh];
id = id + Ft0IndexA;
ampl = ft0.amplitudeC()[iCh];
registry.fill(HIST("FT0Amp"), id, ampl);
ampl = ampl / cstFT0RelGain[id];
registry.fill(HIST("FT0AmpCorrect"), id, ampl);
} else if (fitType == kFT0A) {
id = ft0.channelA()[iCh];
ampl = ft0.amplitudeA()[iCh];
registry.fill(HIST("FT0Amp"), id, ampl);
ampl = ampl / cstFT0RelGain[id];
registry.fill(HIST("FT0AmpCorrect"), id, ampl);
} else {
LOGF(fatal, "Cor Index %d out of range", fitType);
}
}
template <typename TFT0s>
void getChannelFV0(TFT0s const& fv0, std::size_t const& iCh, int& id, float& ampl)
{
id = fv0.channel()[iCh];
ampl = fv0.amplitude()[iCh];
registry.fill(HIST("FV0Amp"), id, ampl);
}
template <CorrelationContainer::CFStep step, typename TTracks, typename TFT0s>
void fillCorrelationsTPCFIT(TTracks tracks1, TFT0s const& ft0, float posZ, int system, int corType, float cent, float eventWeight) // function to fill the Output functions (sparse) and the delta eta and delta phi histograms
{
if (system == SameEvent) {
if (!cfgCentTableUnavailable)
registry.fill(HIST("Centrality_used"), cent);
registry.fill(HIST("Nch_used"), tracks1.size());
}
int fSampleIndex = gRandom->Uniform(0, cfgSampleSize);
float triggerWeight = 1.0f;
// loop over all tracks
for (auto const& track1 : tracks1) {
if (!trackSelected(track1))
continue;
if (!getEfficiencyCorrection(triggerWeight, track1.eta(), track1.pt(), posZ))
continue;
if (system == SameEvent) {
if (corType == kFT0C)
registry.fill(HIST("Trig_hist_TPC_FT0C"), fSampleIndex, posZ, track1.eta(), eventWeight * triggerWeight);
else if (corType == kFT0A)
registry.fill(HIST("Trig_hist_TPC_FT0A"), fSampleIndex, posZ, track1.eta(), eventWeight * triggerWeight);
if (cfgDrawEtaPhiDis && corType == kFT0A)
registry.fill(HIST("EtaPhi"), track1.eta(), track1.phi(), eventWeight * triggerWeight);
}
std::size_t channelSize = 0;
if (corType == kFT0A)
channelSize = ft0.channelA().size();
else if (corType == kFT0C)
channelSize = ft0.channelC().size();
else
LOGF(fatal, "Cor Index %d out of range", corType);
for (std::size_t iCh = 0; iCh < channelSize; iCh++) {
int chanelid = 0;
float ampl = 0.;
getChannel(ft0, iCh, chanelid, ampl, corType);
if (corType == kFT0C) {
if ((cfgFt0RingRejections.cfgRejectFT0CInside && (chanelid >= kFT0CInnerRingMin && chanelid <= kFT0CInnerRingMax)) || (cfgFt0RingRejections.cfgRejectFT0COutside && (chanelid >= kFT0COuterRingMin && chanelid <= kFT0COuterRingMax))) {
continue;
}
} else if (corType == kFT0A) {
if ((cfgFt0RingRejections.cfgRejectFT0AInside && (chanelid >= kFT0AInnerRingMin && chanelid <= kFT0AInnerRingMax)) || (cfgFt0RingRejections.cfgRejectFT0AOutside && (chanelid >= kFT0AOuterRingMin && chanelid <= kFT0AOuterRingMax))) {
continue;
}
}
double phi = getPhiFT0(chanelid, corType);
double eta = getEtaFT0(chanelid, corType);
if (cfgDrawEtaPhiDis && system == SameEvent) {
registry.fill(HIST("EtaPhi"), eta, phi, ampl * eventWeight);
}
float deltaPhi = RecoDecay::constrainAngle(track1.phi() - phi, -PIHalf);
float deltaEta = track1.eta() - eta;
// fill the right sparse and histograms
if (system == SameEvent) {
if (corType == kFT0A) {
registry.fill(HIST("Assoc_amp_same_TPC_FT0A"), chanelid, ampl);
same->getPairHist()->Fill(step, fSampleIndex, posZ, track1.eta(), eta, deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
registry.fill(HIST("deltaEta_deltaPhi_same_TPC_FT0A"), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
} else if (corType == kFT0C) {
registry.fill(HIST("Assoc_amp_same_TPC_FT0C"), chanelid, ampl);
same->getPairHist()->Fill(step, fSampleIndex, posZ, track1.eta(), eta, deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
registry.fill(HIST("deltaEta_deltaPhi_same_TPC_FT0C"), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
}
} else if (system == MixedEvent) {
if (corType == kFT0A) {
registry.fill(HIST("Assoc_amp_mixed_TPC_FT0A"), chanelid, ampl);
mixed->getPairHist()->Fill(step, fSampleIndex, posZ, track1.eta(), eta, deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
registry.fill(HIST("deltaEta_deltaPhi_mixed_TPC_FT0A"), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
} else if (corType == kFT0C) {
registry.fill(HIST("Assoc_amp_mixed_TPC_FT0C"), chanelid, ampl);
mixed->getPairHist()->Fill(step, fSampleIndex, posZ, track1.eta(), eta, deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
registry.fill(HIST("deltaEta_deltaPhi_mixed_TPC_FT0C"), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
}
}
}
}
}
template <CorrelationContainer::CFStep step, typename TFT0s>
void fillCorrelationsFT0AFT0C(TFT0s const& ft0Trig, TFT0s const& ft0Assoc, float posZ, int multTrk, int system, float cent, float eventWeight)
{
if (system == SameEvent) {
if (!cfgCentTableUnavailable)
registry.fill(HIST("Centrality_used"), cent);
registry.fill(HIST("Nch_used"), multTrk);
}
int fSampleIndex = gRandom->Uniform(0, cfgSampleSize);
for (std::size_t iChA = 0; iChA < ft0Trig.channelA().size(); iChA++) {
int channelIdA = 0;
float amplA = 0.f;
getChannel(ft0Trig, iChA, channelIdA, amplA, kFT0A);
if ((cfgFt0RingRejections.cfgRejectFT0AInside && (channelIdA >= kFT0AInnerRingMin && channelIdA <= kFT0AInnerRingMax)) || (cfgFt0RingRejections.cfgRejectFT0AOutside && (channelIdA >= kFT0AOuterRingMin && channelIdA <= kFT0AOuterRingMax))) {
continue;
}
const double phiA = getPhiFT0(channelIdA, kFT0A);
const double etaA = getEtaFT0(channelIdA, kFT0A);
if (system == SameEvent) {
registry.fill(HIST("Trig_hist_FT0A_FT0C"), fSampleIndex, posZ, etaA, eventWeight * amplA);
}
for (std::size_t iChC = 0; iChC < ft0Assoc.channelC().size(); iChC++) {
int channelIdC = 0;
float amplC = 0.f;
getChannel(ft0Assoc, iChC, channelIdC, amplC, kFT0C);
if ((cfgFt0RingRejections.cfgRejectFT0CInside && (channelIdC >= kFT0CInnerRingMin && channelIdC <= kFT0CInnerRingMax)) || (cfgFt0RingRejections.cfgRejectFT0COutside && (channelIdC >= kFT0COuterRingMin && channelIdC <= kFT0COuterRingMax))) {
continue;
}
const double phiC = getPhiFT0(channelIdC, kFT0C);
const double etaC = getEtaFT0(channelIdC, kFT0C);
const float deltaPhi = RecoDecay::constrainAngle(phiA - phiC, -PIHalf);
const float deltaEta = etaA - etaC;
const float pairWeight = amplA * amplC * eventWeight;
if (system == SameEvent) {
registry.fill(HIST("Assoc_amp_same_FT0A_FT0C"), channelIdC, amplC);
same->getPairHist()->Fill(step, fSampleIndex, posZ, etaA, etaC, deltaPhi, deltaEta, pairWeight);
registry.fill(HIST("deltaEta_deltaPhi_same_FT0A_FT0C"), deltaPhi, deltaEta, pairWeight);
} else if (system == MixedEvent) {
registry.fill(HIST("Assoc_amp_mixed_FT0A_FT0C"), channelIdC, amplC);
mixed->getPairHist()->Fill(step, fSampleIndex, posZ, etaA, etaC, deltaPhi, deltaEta, pairWeight);
registry.fill(HIST("deltaEta_deltaPhi_mixed_FT0A_FT0C"), deltaPhi, deltaEta, pairWeight);
}
}
}
}
template <CorrelationContainer::CFStep step, typename TTracks, typename TFT0s>
void fillCorrelationsTPCFV0(TTracks tracks1, TFT0s const& fv0, float posZ, int system, float cent, float eventWeight) // function to fill the Output functions (sparse) and the delta eta and delta phi histograms
{
if (system == SameEvent) {
if (!cfgCentTableUnavailable)
registry.fill(HIST("Centrality_used"), cent);
registry.fill(HIST("Nch_used"), tracks1.size());
}
int fSampleIndex = gRandom->Uniform(0, cfgSampleSize);
float triggerWeight = 1.0f;
// loop over all tracks
for (auto const& track1 : tracks1) {
if (!trackSelected(track1))
continue;
if (!getEfficiencyCorrection(triggerWeight, track1.eta(), track1.pt(), posZ))
continue;
if (system == SameEvent) {
registry.fill(HIST("Trig_hist_TPC_FV0"), fSampleIndex, posZ, track1.eta(), eventWeight * triggerWeight);
}
std::size_t channelSize = 0;
channelSize = fv0.channel().size();
for (std::size_t iCh = 0; iCh < channelSize; iCh++) {
int chanelid = 0;
float ampl = 0.;
getChannelFV0(fv0, iCh, chanelid, ampl);
double phi = getPhiFV0(chanelid);
double eta = getEtaFV0(chanelid);
if (cfgDrawEtaPhiDis && system == SameEvent) {
registry.fill(HIST("EtaPhi"), eta, phi, ampl * eventWeight);
}
float deltaPhi = RecoDecay::constrainAngle(track1.phi() - phi, -PIHalf);
float deltaEta = track1.eta() - eta;
// fill the right sparse and histograms
if (system == SameEvent) {
registry.fill(HIST("Assoc_amp_same_TPC_FV0"), chanelid, ampl);
same->getPairHist()->Fill(step, fSampleIndex, posZ, track1.eta(), eta, deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
registry.fill(HIST("deltaEta_deltaPhi_same_TPC_FV0"), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
} else if (system == MixedEvent) {
registry.fill(HIST("Assoc_amp_mixed_TPC_FV0"), chanelid, ampl);
mixed->getPairHist()->Fill(step, fSampleIndex, posZ, track1.eta(), eta, deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
registry.fill(HIST("deltaEta_deltaPhi_mixed_TPC_FV0"), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
}
}
}
}
template <typename TCollision>
bool eventSelected(TCollision collision, const int multTrk, const float centrality, const bool fillCounter)
{
registry.fill(HIST("hEventCountSpecific"), 0.5);
if (cfgEvSelkNoSameBunchPileup && !collision.selection_bit(o2::aod::evsel::kNoSameBunchPileup)) {
// rejects collisions which are associated with the same "found-by-T0" bunch crossing
// https://indico.cern.ch/event/1396220/#1-event-selection-with-its-rof
return 0;
}
if (fillCounter && cfgEvSelkNoSameBunchPileup)
registry.fill(HIST("hEventCountSpecific"), 1.5);
if (cfgEvSelkNoITSROFrameBorder && !collision.selection_bit(o2::aod::evsel::kNoITSROFrameBorder)) {
return 0;
}
if (fillCounter && cfgEvSelkNoITSROFrameBorder)
registry.fill(HIST("hEventCountSpecific"), 2.5);
if (cfgEvSelkNoTimeFrameBorder && !collision.selection_bit(o2::aod::evsel::kNoTimeFrameBorder)) {
return 0;
}
if (fillCounter && cfgEvSelkNoTimeFrameBorder)
registry.fill(HIST("hEventCountSpecific"), 3.5);
if (cfgEvSelkIsGoodZvtxFT0vsPV && !collision.selection_bit(o2::aod::evsel::kIsGoodZvtxFT0vsPV)) {
// removes collisions with large differences between z of PV by tracks and z of PV from FT0 A-C time difference
// use this cut at low multiplicities with caution
return 0;
}
if (fillCounter && cfgEvSelkIsGoodZvtxFT0vsPV)
registry.fill(HIST("hEventCountSpecific"), 4.5);
if (cfgEvSelkNoCollInTimeRangeStandard && !collision.selection_bit(o2::aod::evsel::kNoCollInTimeRangeStandard)) {
// no collisions in specified time range
return 0;
}
if (fillCounter && cfgEvSelkNoCollInTimeRangeStandard)
registry.fill(HIST("hEventCountSpecific"), 5.5);
if (cfgEvSelkIsGoodITSLayersAll && !collision.selection_bit(o2::aod::evsel::kIsGoodITSLayersAll)) {
// from Jan 9 2025 AOT meeting
// cut time intervals with dead ITS staves
return 0;
}
if (fillCounter && cfgEvSelkIsGoodITSLayersAll)
registry.fill(HIST("hEventCountSpecific"), 6.5);
if (cfgEvSelkIsGoodITSLayer0123 && !collision.selection_bit(o2::aod::evsel::kIsGoodITSLayer0123)) {
// for pp: cut time intervals with dead ITS staves on layers 0-3 only
return 0;
}
if (fillCounter && cfgEvSelkIsGoodITSLayer0123)
registry.fill(HIST("hEventCountSpecific"), 7.5);
if (cfgEvSelkNoCollInRofStandard && !collision.selection_bit(o2::aod::evsel::kNoCollInRofStandard)) {
// no other collisions in this Readout Frame with per-collision multiplicity above threshold
return 0;
}
if (fillCounter && cfgEvSelkNoCollInRofStandard)
registry.fill(HIST("hEventCountSpecific"), 8.5);
if (cfgEvSelkNoHighMultCollInPrevRof && !collision.selection_bit(o2::aod::evsel::kNoHighMultCollInPrevRof)) {
// veto an event if FT0C amplitude in previous ITS ROF is above threshold
return 0;
}
if (fillCounter && cfgEvSelkNoHighMultCollInPrevRof)
registry.fill(HIST("hEventCountSpecific"), 9.5);
auto occupancy = collision.trackOccupancyInTimeRange();
if (cfgEvSelOccupancy && (occupancy < cfgCutOccupancyLow || occupancy > cfgCutOccupancyHigh))
return 0;
if (fillCounter && cfgEvSelOccupancy)
registry.fill(HIST("hEventCountSpecific"), 10.5);
auto multNTracksPV = collision.multNTracksPV();
if (cfgEvSelMultCorrelation) {
if (cfgFuncParas.cfgMultPVT0CCutEnabled && !cfgCentTableUnavailable) {
if (multNTracksPV < cfgFuncParas.fMultPVT0CCutLow->Eval(centrality))
return 0;
if (multNTracksPV > cfgFuncParas.fMultPVT0CCutHigh->Eval(centrality))
return 0;
}
if (cfgFuncParas.cfgMultT0CCutEnabled && !cfgCentTableUnavailable) {
if (multTrk < cfgFuncParas.fMultT0CCutLow->Eval(centrality))
return 0;
if (multTrk > cfgFuncParas.fMultT0CCutHigh->Eval(centrality))