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longRangeDihadronCor.cxx
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1345 lines (1225 loc) · 68.4 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 longRangeDihadronCor.cxx
/// \brief long range di-hadron correlation for O-O, Pb-Pb collisions
/// \author Zhiyong Lu (zhiyong.lu@cern.ch), Joachim Hansen (joachim.hansen@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/PIDResponseITS.h"
#include "Common/DataModel/PIDResponseTOF.h"
#include "Common/DataModel/PIDResponseTPC.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/PID.h"
#include "ReconstructionDataFormats/Track.h"
#include <CCDB/BasicCCDBManager.h>
#include "TF1.h"
#include "TRandom3.h"
#include <TPDGCode.h>
#include <map>
#include <memory>
#include <string>
#include <utility>
#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};
// template for labelled array
static constexpr float LongArrayFloat[3][6] = {{1.1, 1.2, 1.3, -1.1, -1.2, -1.3}, {2.1, 2.2, 2.3, -2.1, -2.2, -2.3}, {3.1, 3.2, 3.3, -3.1, -3.2, -3.3}};
struct LongRangeDihadronCor {
Service<ccdb::BasicCCDBManager> ccdb;
o2::aod::ITSResponse itsResponse;
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(cfgCutEta, float, 0.8f, "Eta cut")
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(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(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;
struct : ConfigurableGroup {
O2_DEFINE_CONFIGURABLE(cfgUseItsPID, bool, true, "Use ITS PID for particle identification")
O2_DEFINE_CONFIGURABLE(cfgPIDParticle, int, 0, "1 = pion, 2 = kaon, 3 = proton, 4 = kshort, 5 = lambda, 6 = phi, 0 for no PID")
O2_DEFINE_CONFIGURABLE(cfgTofPtCut, float, 0.5f, "Minimum pt to use TOF N-sigma")
Configurable<LabeledArray<float>> nSigmas{"nSigmas", {LongArrayFloat[0], 3, 6, {"TPC", "TOF", "ITS"}, {"upCut_pi", "upCut_ka", "upCut_pr", "lowCut_pi", "lowCut_ka", "lowCut_pr"}}, "Labeled array for n-sigma values for TPC, TOF, ITS for pions, kaons, protons (positive and negative)"};
} cfgPIDConfig;
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")
O2_DEFINE_CONFIGURABLE(cfgMirrorFT0ADeadChannels, bool, false, "If true, mirror FT0A channels 60-63 to amplitudes from 92-95 respectively")
O2_DEFINE_CONFIGURABLE(cfgMirrorFT0CDeadChannels, bool, false, "If true, mirror FT0C channels 177->145, 176->144, 178->146, 179->147, 139->115")
O2_DEFINE_CONFIGURABLE(cfgRunbyRunAmplitudeFT0, bool, false, "Produce run-by-run FT0 amplitude distribution");
} cfgFwdConfig;
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 axisPt{"axisPt", {VARIABLE_WIDTH, 0.2, 0.5, 1, 1.5, 2, 3, 4, 6, 10}, "pt 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, -1.5, 3.0}, "delta eta axis"};
ConfigurableAxis axisPtTrigger{"axisPtTrigger", {VARIABLE_WIDTH, 0.2, 0.5, 1, 1.5, 2, 3, 4, 6, 10}, "pt trigger axis for histograms"};
ConfigurableAxis axisPtAssoc{"axisPtAssoc", {VARIABLE_WIDTH, 0.2, 0.5, 1, 1.5, 2, 3, 4, 6, 10}, "pt 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 = (nabs(aod::track::eta) < cfgCutEta) && (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, aod::pidTPCFullPi, aod::pidTPCFullKa, aod::pidTPCFullPr, aod::pidTOFbeta, aod::pidTOFFullPi, aod::pidTOFFullKa, aod::pidTOFFullPr>>;
// FT0 geometry
o2::ft0::Geometry ft0Det;
static constexpr uint64_t Ft0IndexA = 96;
std::vector<o2::detectors::AlignParam>* offsetFT0;
std::vector<float> cstFT0RelGain{};
// Corrections
TH3D* mEfficiency = nullptr;
TH1D* mCentralityWeight = nullptr;
bool correctionsLoaded = false;
// Define the outputs
OutputObj<CorrelationContainer> sameTpcFt0a{"sameEvent_TPC_FT0A"};
OutputObj<CorrelationContainer> mixedTpcFt0a{"mixedEvent_TPC_FT0A"};
OutputObj<CorrelationContainer> sameTpcFt0c{"sameEvent_TPC_FT0C"};
OutputObj<CorrelationContainer> mixedTpcFt0c{"mixedEvent_TPC_FT0C"};
OutputObj<CorrelationContainer> sameFt0aFt0c{"sameEvent_FT0A_FT0C"};
OutputObj<CorrelationContainer> mixedFt0aFt0c{"mixedEvent_FT0A_FT0C"};
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
};
enum ParticleNsigma {
kPionUp = 0,
kKaonUp,
kProtonUp,
kPionLow,
kKaonLow,
kProtonLow
};
enum PIDIndex {
kCharged = 0,
kPions,
kKaons,
kProtons,
kK0,
kLambda,
kPhi
};
enum DetectorType {
kTPC = 0,
kTOF,
kITS
};
enum DetectorChannels {
kFT0AInnerRingMin = 0,
kFT0AInnerRingMax = 31,
kFT0AOuterRingMin = 32,
kFT0AOuterRingMax = 95,
kFT0CInnerRingMin = 96,
kFT0CInnerRingMax = 143,
kFT0COuterRingMin = 144,
kFT0COuterRingMax = 207
};
enum DeadChannels {
kFT0AMirrorChannelStart = 92,
kFT0AMirrorChannelEnd = 95,
kFT0CMirrorChannelStart = 144,
kFT0CMirrorChannelEnd = 147,
kFT0CMirrorChannelInnerRing = 115
};
std::array<float, 6> tofNsigmaCut;
std::array<float, 6> itsNsigmaCut;
std::array<float, 6> tpcNsigmaCut;
int lastRunNumber = -1;
std::vector<int> runNumbers;
std::map<int, std::shared_ptr<TH2>> histAmpCorrectPerRun; // map of TH3 histograms for all runs
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"};
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);
LOGF(info, "Starting init");
// filling tpc nSigmas array
tpcNsigmaCut[kPionUp] = cfgPIDConfig.nSigmas->getData()[kTPC][kPionUp];
tpcNsigmaCut[kKaonUp] = cfgPIDConfig.nSigmas->getData()[kTPC][kKaonUp];
tpcNsigmaCut[kProtonUp] = cfgPIDConfig.nSigmas->getData()[kTPC][kProtonUp];
tpcNsigmaCut[kPionLow] = cfgPIDConfig.nSigmas->getData()[kTPC][kPionLow];
tpcNsigmaCut[kKaonLow] = cfgPIDConfig.nSigmas->getData()[kTPC][kKaonLow];
tpcNsigmaCut[kProtonLow] = cfgPIDConfig.nSigmas->getData()[kTPC][kProtonLow];
// filling tof nSigmas array
tofNsigmaCut[kPionUp] = cfgPIDConfig.nSigmas->getData()[kTOF][kPionUp];
tofNsigmaCut[kKaonUp] = cfgPIDConfig.nSigmas->getData()[kTOF][kKaonUp];
tofNsigmaCut[kProtonUp] = cfgPIDConfig.nSigmas->getData()[kTOF][kProtonUp];
tofNsigmaCut[kPionLow] = cfgPIDConfig.nSigmas->getData()[kTOF][kPionLow];
tofNsigmaCut[kKaonLow] = cfgPIDConfig.nSigmas->getData()[kTOF][kKaonLow];
tofNsigmaCut[kProtonLow] = cfgPIDConfig.nSigmas->getData()[kTOF][kProtonLow];
// filling its nSigmas array
itsNsigmaCut[kPionUp] = cfgPIDConfig.nSigmas->getData()[kITS][kPionUp];
itsNsigmaCut[kKaonUp] = cfgPIDConfig.nSigmas->getData()[kITS][kKaonUp];
itsNsigmaCut[kProtonUp] = cfgPIDConfig.nSigmas->getData()[kITS][kProtonUp];
itsNsigmaCut[kPionLow] = cfgPIDConfig.nSigmas->getData()[kITS][kPionLow];
itsNsigmaCut[kKaonLow] = cfgPIDConfig.nSigmas->getData()[kITS][kKaonLow];
itsNsigmaCut[kProtonLow] = cfgPIDConfig.nSigmas->getData()[kITS][kProtonLow];
// Event Counter
if ((doprocessSameTpcFt0a || doprocessSameTpcFt0c || doprocessSameFt0aFt0c) && cfgUseAdditionalEventCut) {
registry.add("hEventCountSpecific", "Number of Event;; Count", {HistType::kTH1D, {{12, 0, 12}}});
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, "kNoCollInRofStandard");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(9, "kNoHighMultCollInPrevRof");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(10, "occupancy");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(11, "MultCorrelation");
registry.get<TH1>(HIST("hEventCountSpecific"))->GetXaxis()->SetBinLabel(12, "cfgEvSelV0AT0ACut");
}
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) {
registry.add("Phi", "Phi", {HistType::kTH1D, {axisPhi}});
registry.add("Eta", "Eta", {HistType::kTH1D, {axisEta}});
registry.add("EtaCorrected", "EtaCorrected", {HistType::kTH1D, {axisEta}});
registry.add("pT", "pT", {HistType::kTH1D, {axisPtTrigger}});
registry.add("pTCorrected", "pTCorrected", {HistType::kTH1D, {axisPtTrigger}});
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("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, axisPtTrigger}}});
}
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, axisPtTrigger}}});
}
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("Trig_hist_FT0A_FT0C", "", {HistType::kTHnSparseF, {{axisSample, axisVertex, axisPtTrigger}}});
}
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> corrAxisTpcFt0a = {{axisSample, "Sample"},
{axisVertex, "z-vtx (cm)"},
{axisPtTrigger, "p_{T} (GeV/c)"},
{axisPtAssoc, "p_{T} (GeV/c)"},
{axisDeltaPhi, "#Delta#varphi (rad)"},
{axisDeltaEtaTpcFt0a, "#Delta#eta"}};
std::vector<AxisSpec> effAxis = {
{axisEtaEfficiency, "#eta"},
{axisPtEfficiency, "p_{T} (GeV/c)"},
{axisVertexEfficiency, "z-vtx (cm)"},
};
std::vector<AxisSpec> userAxis;
std::vector<AxisSpec> corrAxisTpcFt0c = {{axisSample, "Sample"},
{axisVertex, "z-vtx (cm)"},
{axisPtTrigger, "p_{T} (GeV/c)"},
{axisPtAssoc, "p_{T} (GeV/c)"},
{axisDeltaPhi, "#Delta#varphi (rad)"},
{axisDeltaEtaTpcFt0c, "#Delta#eta"}};
std::vector<AxisSpec> corrAxisFt0aFt0c = {{axisSample, "Sample"},
{axisVertex, "z-vtx (cm)"},
{axisPtTrigger, "p_{T} (GeV/c)"},
{axisPtAssoc, "p_{T} (GeV/c)"},
{axisDeltaPhi, "#Delta#varphi (rad)"},
{axisDeltaEtaFt0aFt0c, "#Delta#eta"}};
if (doprocessSameTpcFt0a) {
sameTpcFt0a.setObject(new CorrelationContainer("sameEvent_TPC_FT0A", "sameEvent_TPC_FT0A", corrAxisTpcFt0a, effAxis, userAxis));
mixedTpcFt0a.setObject(new CorrelationContainer("mixedEvent_TPC_FT0A", "mixedEvent_TPC_FT0A", corrAxisTpcFt0a, effAxis, userAxis));
}
if (doprocessSameTpcFt0c) {
sameTpcFt0c.setObject(new CorrelationContainer("sameEvent_TPC_FT0C", "sameEvent_TPC_FT0C", corrAxisTpcFt0c, effAxis, userAxis));
mixedTpcFt0c.setObject(new CorrelationContainer("mixedEvent_TPC_FT0C", "mixedEvent_TPC_FT0C", corrAxisTpcFt0c, effAxis, userAxis));
}
if (doprocessSameFt0aFt0c) {
sameFt0aFt0c.setObject(new CorrelationContainer("sameEvent_FT0A_FT0C", "sameEvent_FT0A_FT0C", corrAxisFt0aFt0c, effAxis, userAxis));
mixedFt0aFt0c.setObject(new CorrelationContainer("mixedEvent_FT0A_FT0C", "mixedEvent_FT0A_FT0C", corrAxisFt0aFt0c, effAxis, userAxis));
}
LOGF(info, "End of init");
}
void createOutputObjectsForRun(int runNumber)
{
if (cfgFwdConfig.cfgRunbyRunAmplitudeFT0) {
if (histAmpCorrectPerRun.find(runNumber) != histAmpCorrectPerRun.end()) {
LOGF(info, "you are trying to create QA hist again, please make sure you are not filling it twice");
}
const AxisSpec axisFit{1000, 0, 5000, "FIT amplitude"};
const AxisSpec axisChID{220, 0, 220, "FIT channel"};
std::shared_ptr<TH2> histFT0AmpCorrect = registry.add<TH2>(Form("%d/FT0AmpCorrect", runNumber), "FIT channel;FIT amplitude", {HistType::kTH2F, {axisChID, axisFit}});
histAmpCorrectPerRun.insert(std::make_pair(runNumber, histFT0AmpCorrect));
}
}
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));
}
template <typename TTrack>
int getNsigmaPID(TTrack track)
{
// Computing Nsigma arrays for pion, kaon, and protons
std::array<float, 3> nSigmaTPC = {track.tpcNSigmaPi(), track.tpcNSigmaKa(), track.tpcNSigmaPr()};
std::array<float, 3> nSigmaTOF = {track.tofNSigmaPi(), track.tofNSigmaKa(), track.tofNSigmaPr()};
std::array<float, 3> nSigmaITS = {itsResponse.nSigmaITS<o2::track::PID::Pion>(track), itsResponse.nSigmaITS<o2::track::PID::Kaon>(track), itsResponse.nSigmaITS<o2::track::PID::Proton>(track)};
int pid = -1; // -1 = not identified, 1 = pion, 2 = kaon, 3 = proton
std::array<float, 3> nSigmaToUse = cfgPIDConfig.cfgUseItsPID ? nSigmaITS : nSigmaTPC; // Choose which nSigma to use: TPC or ITS
std::array<float, 6> detectorNsigmaCut = cfgPIDConfig.cfgUseItsPID ? itsNsigmaCut : tpcNsigmaCut; // Choose which nSigma to use: TPC or ITS
bool isPion = false;
bool isKaon = false;
bool isProton = false;
bool isDetectedPion = nSigmaToUse[kPionUp] < detectorNsigmaCut[kPionUp] && nSigmaToUse[kPionUp] > detectorNsigmaCut[kPionLow];
bool isDetectedKaon = nSigmaToUse[kKaonUp] < detectorNsigmaCut[kKaonUp] && nSigmaToUse[kKaonUp] > detectorNsigmaCut[kKaonLow];
bool isDetectedProton = nSigmaToUse[kProtonUp] < detectorNsigmaCut[kProtonUp] && nSigmaToUse[kProtonUp] > detectorNsigmaCut[kProtonLow];
bool isTofPion = nSigmaTOF[kPionUp] < tofNsigmaCut[kPionUp] && nSigmaTOF[kPionUp] > tofNsigmaCut[kPionLow];
bool isTofKaon = nSigmaTOF[kKaonUp] < tofNsigmaCut[kKaonUp] && nSigmaTOF[kKaonUp] > tofNsigmaCut[kKaonLow];
bool isTofProton = nSigmaTOF[kProtonUp] < tofNsigmaCut[kProtonUp] && nSigmaTOF[kProtonUp] > tofNsigmaCut[kProtonLow];
if (track.pt() > cfgPIDConfig.cfgTofPtCut && !track.hasTOF()) {
return -1;
} else if (track.pt() > cfgPIDConfig.cfgTofPtCut && track.hasTOF()) {
isPion = isTofPion && isDetectedPion;
isKaon = isTofKaon && isDetectedKaon;
isProton = isTofProton && isDetectedProton;
} else {
isPion = isDetectedPion;
isKaon = isDetectedKaon;
isProton = isDetectedProton;
}
if ((isPion && isKaon) || (isPion && isProton) || (isKaon && isProton)) {
return -1; // more than one particle satisfy the criteria
}
if (isPion) {
pid = kPions;
} else if (isKaon) {
pid = kKaons;
} else if (isProton) {
pid = kProtons;
} else {
return -1; // no particle satisfies the criteria
}
return pid; // -1 = not identified, 1 = pion, 2 = kaon, 3 = proton
}
void loadAlignParam(uint64_t timestamp)
{
offsetFT0 = ccdb->getForTimeStamp<std::vector<o2::detectors::AlignParam>>("FT0/Calib/Align", timestamp);
if (offsetFT0 == nullptr) {
LOGF(fatal, "Could not load FT0/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, int system)
{
if (fitType == kFT0C) {
id = ft0.channelC()[iCh];
id = id + Ft0IndexA;
ampl = ft0.amplitudeC()[iCh];
if ((cfgFwdConfig.cfgRejectFT0CInside && (id >= kFT0CInnerRingMin && id <= kFT0CInnerRingMax)) || (cfgFwdConfig.cfgRejectFT0COutside && (id >= kFT0COuterRingMin && id <= kFT0COuterRingMax)))
ampl = 0.;
if (system == SameEvent)
registry.fill(HIST("FT0Amp"), id, ampl);
ampl = ampl / cstFT0RelGain[id];
if (system == SameEvent) {
registry.fill(HIST("FT0AmpCorrect"), id, ampl);
if (cfgFwdConfig.cfgRunbyRunAmplitudeFT0)
histAmpCorrectPerRun[lastRunNumber]->Fill(id, ampl);
}
} else if (fitType == kFT0A) {
id = ft0.channelA()[iCh];
ampl = ft0.amplitudeA()[iCh];
if ((cfgFwdConfig.cfgRejectFT0AInside && (id >= kFT0AInnerRingMin && id <= kFT0AInnerRingMax)) || (cfgFwdConfig.cfgRejectFT0AOutside && (id >= kFT0AOuterRingMin && id <= kFT0AOuterRingMax)))
ampl = 0.;
if (system == SameEvent)
registry.fill(HIST("FT0Amp"), id, ampl);
ampl = ampl / cstFT0RelGain[id];
if (system == SameEvent) {
registry.fill(HIST("FT0AmpCorrect"), id, ampl);
if (cfgFwdConfig.cfgRunbyRunAmplitudeFT0)
histAmpCorrectPerRun[lastRunNumber]->Fill(id, ampl);
}
} else {
LOGF(fatal, "Cor Index %d out of range", fitType);
}
}
bool isMirrorId(int id, int corType)
{
if (corType == kFT0A) {
if (id >= kFT0AMirrorChannelStart && id <= kFT0AMirrorChannelEnd)
return true;
}
if (corType == kFT0C) {
if (id == kFT0CMirrorChannelInnerRing)
return true;
else if (id >= kFT0CMirrorChannelStart && id <= kFT0CMirrorChannelEnd)
return true;
}
return false;
}
template <CorrelationContainer::CFStep step, typename TTracks, typename TFT0s>
void fillCorrelationsTPCFT0(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 (cfgPIDConfig.cfgPIDParticle && getNsigmaPID(track1) != cfgPIDConfig.cfgPIDParticle)
continue; // if PID is selected, check if the track has the right PID
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.pt(), eventWeight * triggerWeight);
} else if (corType == kFT0A) {
registry.fill(HIST("Trig_hist_TPC_FT0A"), fSampleIndex, posZ, track1.pt(), eventWeight * triggerWeight);
}
if (cfgDrawEtaPhiDis && corType == kFT0A) {
registry.fill(HIST("EtaPhi"), track1.eta(), track1.phi(), eventWeight * triggerWeight);
}
}
std::size_t channelSize = 0;
if (corType == kFT0C) {
channelSize = ft0.channelC().size();
} else if (corType == kFT0A) {
channelSize = ft0.channelA().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, system);
if (corType == kFT0C) {
if ((cfgFwdConfig.cfgRejectFT0CInside && (chanelid >= kFT0CInnerRingMin && chanelid <= kFT0CInnerRingMax)) || (cfgFwdConfig.cfgRejectFT0COutside && (chanelid >= kFT0COuterRingMin && chanelid <= kFT0COuterRingMax)))
continue;
} else if (corType == kFT0A) {
if ((cfgFwdConfig.cfgRejectFT0AInside && (chanelid >= kFT0AInnerRingMin && chanelid <= kFT0AInnerRingMax)) || (cfgFwdConfig.cfgRejectFT0AOutside && (chanelid >= kFT0AOuterRingMin && chanelid <= kFT0AOuterRingMax)))
continue;
}
bool mirrorChannel = false;
if ((corType == kFT0A && cfgFwdConfig.cfgMirrorFT0ADeadChannels) || (corType == kFT0C && cfgFwdConfig.cfgMirrorFT0CDeadChannels))
mirrorChannel = isMirrorId(chanelid, corType);
auto phi = getPhiFT0(chanelid, corType);
auto eta = getEtaFT0(chanelid, corType);
if (cfgDrawEtaPhiDis && system == SameEvent) {
registry.fill(HIST("EtaPhi"), eta, phi, ampl * eventWeight);
if (mirrorChannel)
registry.fill(HIST("EtaPhi"), eta, 4 * PIHalf - 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);
registry.fill(HIST("deltaEta_deltaPhi_same_TPC_FT0A"), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
sameTpcFt0a->getPairHist()->Fill(step, fSampleIndex, posZ, track1.pt(), track1.pt(), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
if (mirrorChannel)
sameTpcFt0a->getPairHist()->Fill(step, fSampleIndex, posZ, track1.pt(), track1.pt(), RecoDecay::constrainAngle(track1.phi() - phi - 2 * PIHalf, -PIHalf), deltaEta, ampl * eventWeight * triggerWeight);
} else if (corType == kFT0C) {
registry.fill(HIST("Assoc_amp_same_TPC_FT0C"), chanelid, ampl);
registry.fill(HIST("deltaEta_deltaPhi_same_TPC_FT0C"), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
sameTpcFt0c->getPairHist()->Fill(step, fSampleIndex, posZ, track1.pt(), track1.pt(), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
if (mirrorChannel)
sameTpcFt0c->getPairHist()->Fill(step, fSampleIndex, posZ, track1.pt(), track1.pt(), RecoDecay::constrainAngle(track1.phi() - phi - 2 * PIHalf, -PIHalf), deltaEta, ampl * eventWeight * triggerWeight);
}
} else if (system == MixedEvent) {
if (corType == kFT0A) {
registry.fill(HIST("Assoc_amp_mixed_TPC_FT0A"), chanelid, ampl);
registry.fill(HIST("deltaEta_deltaPhi_mixed_TPC_FT0A"), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
mixedTpcFt0a->getPairHist()->Fill(step, fSampleIndex, posZ, track1.pt(), track1.pt(), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
if (mirrorChannel)
mixedTpcFt0a->getPairHist()->Fill(step, fSampleIndex, posZ, track1.pt(), track1.pt(), RecoDecay::constrainAngle(track1.phi() - phi - 2 * PIHalf, -PIHalf), deltaEta, ampl * eventWeight * triggerWeight);
} else if (corType == kFT0C) {
registry.fill(HIST("Assoc_amp_mixed_TPC_FT0C"), chanelid, ampl);
registry.fill(HIST("deltaEta_deltaPhi_mixed_TPC_FT0C"), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
mixedTpcFt0c->getPairHist()->Fill(step, fSampleIndex, posZ, track1.pt(), track1.pt(), deltaPhi, deltaEta, ampl * eventWeight * triggerWeight);
if (mirrorChannel)
mixedTpcFt0c->getPairHist()->Fill(step, fSampleIndex, posZ, track1.pt(), track1.pt(), RecoDecay::constrainAngle(track1.phi() - phi - 2 * PIHalf, -PIHalf), deltaEta, ampl * eventWeight * triggerWeight);
}
}
}
}
}
template <CorrelationContainer::CFStep step, typename TFT0s>
void fillCorrelationsFT0AFT0C(TFT0s const& ft0Col1, TFT0s const& ft0Col2, float posZ, int system, float eventWeight) // function to fill the Output functions (sparse) and the delta eta and delta phi histograms
{
int fSampleIndex = gRandom->Uniform(0, cfgSampleSize);
float triggerWeight = 1.0f;
std::size_t channelASize = ft0Col1.channelA().size();
std::size_t channelCSize = ft0Col2.channelC().size();
// loop over all tracks
for (std::size_t iChA = 0; iChA < channelASize; iChA++) {
int chanelAid = 0;
float amplA = 0.;
getChannel(ft0Col1, iChA, chanelAid, amplA, kFT0A, system);
auto phiA = getPhiFT0(chanelAid, kFT0A);
auto etaA = getEtaFT0(chanelAid, kFT0A);
bool mirrorChannelA = false;
if (cfgFwdConfig.cfgMirrorFT0ADeadChannels)
mirrorChannelA = isMirrorId(chanelAid, kFT0A);
if (system == SameEvent) {
registry.fill(HIST("Trig_hist_FT0A_FT0C"), fSampleIndex, posZ, 0.5, eventWeight * amplA);
}
for (std::size_t iChC = 0; iChC < channelCSize; iChC++) {
int chanelCid = 0;
float amplC = 0.;
getChannel(ft0Col2, iChC, chanelCid, amplC, kFT0C, system);
auto phiC = getPhiFT0(chanelCid, kFT0C);
auto etaC = getEtaFT0(chanelCid, kFT0C);
float deltaPhi = RecoDecay::constrainAngle(phiA - phiC, -PIHalf);
float deltaEta = etaA - etaC;
bool mirrorChannelC = false;
if (cfgFwdConfig.cfgMirrorFT0CDeadChannels)
mirrorChannelC = isMirrorId(chanelCid, kFT0C);
// fill the right sparse and histograms
if (system == SameEvent) {
registry.fill(HIST("deltaEta_deltaPhi_same_FT0A_FT0C"), deltaPhi, deltaEta, amplA * amplC * eventWeight * triggerWeight);
sameFt0aFt0c->getPairHist()->Fill(step, fSampleIndex, posZ, 0.5, 0.5, deltaPhi, deltaEta, amplA * amplC * eventWeight * triggerWeight);
if (mirrorChannelA) {
sameFt0aFt0c->getPairHist()->Fill(step, fSampleIndex, posZ, 0.5, 0.5, RecoDecay::constrainAngle(phiA + 2 * PIHalf - phiC, -PIHalf), deltaEta, amplA * amplC * eventWeight * triggerWeight);
if (mirrorChannelC)
sameFt0aFt0c->getPairHist()->Fill(step, fSampleIndex, posZ, 0.5, 0.5, deltaPhi, deltaEta, amplA * amplC * eventWeight * triggerWeight);
}
if (mirrorChannelC)
sameFt0aFt0c->getPairHist()->Fill(step, fSampleIndex, posZ, 0.5, 0.5, RecoDecay::constrainAngle(phiA - phiC - 2 * PIHalf, -PIHalf), deltaEta, amplA * amplC * eventWeight * triggerWeight);
} else if (system == MixedEvent) {
registry.fill(HIST("deltaEta_deltaPhi_mixed_FT0A_FT0C"), deltaPhi, deltaEta, amplA * amplC * eventWeight * triggerWeight);
mixedFt0aFt0c->getPairHist()->Fill(step, fSampleIndex, posZ, 0.5, 0.5, deltaPhi, deltaEta, amplA * amplC * eventWeight * triggerWeight);
if (mirrorChannelA) {
mixedFt0aFt0c->getPairHist()->Fill(step, fSampleIndex, posZ, 0.5, 0.5, RecoDecay::constrainAngle(phiA + 2 * PIHalf - phiC, -PIHalf), deltaEta, amplA * amplC * eventWeight * triggerWeight);
if (mirrorChannelC)
mixedFt0aFt0c->getPairHist()->Fill(step, fSampleIndex, posZ, 0.5, 0.5, deltaPhi, deltaEta, amplA * amplC * eventWeight * triggerWeight);
}
if (mirrorChannelC)
mixedFt0aFt0c->getPairHist()->Fill(step, fSampleIndex, posZ, 0.5, 0.5, RecoDecay::constrainAngle(phiA - phiC - 2 * PIHalf, -PIHalf), deltaEta, amplA * amplC * 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 (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"), 7.5);
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"), 8.5);
auto occupancy = collision.trackOccupancyInTimeRange();
if (cfgEvSelOccupancy && (occupancy < cfgCutOccupancyLow || occupancy > cfgCutOccupancyHigh))
return 0;
if (fillCounter && cfgEvSelOccupancy)
registry.fill(HIST("hEventCountSpecific"), 9.5);
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))
return 0;
}
if (cfgFuncParas.cfgMultGlobalPVCutEnabled) {
if (multTrk < cfgFuncParas.fMultGlobalPVCutLow->Eval(multNTracksPV))
return 0;
if (multTrk > cfgFuncParas.fMultGlobalPVCutHigh->Eval(multNTracksPV))
return 0;
}
if (cfgFuncParas.cfgMultMultV0ACutEnabled) {
if (collision.multFV0A() < cfgFuncParas.fMultMultV0ACutLow->Eval(multTrk))
return 0;
if (collision.multFV0A() > cfgFuncParas.fMultMultV0ACutHigh->Eval(multTrk))
return 0;
}
}
if (fillCounter && cfgEvSelMultCorrelation)
registry.fill(HIST("hEventCountSpecific"), 10.5);
// V0A T0A 5 sigma cut
float sigma = 5.0;
if (cfgEvSelV0AT0ACut && (std::fabs(collision.multFV0A() - cfgFuncParas.fT0AV0AMean->Eval(collision.multFT0A())) > sigma * cfgFuncParas.fT0AV0ASigma->Eval(collision.multFT0A())))
return 0;
if (fillCounter && cfgEvSelV0AT0ACut)
registry.fill(HIST("hEventCountSpecific"), 11.5);
return 1;
}
void processSameTpcFt0a(FilteredCollisions::iterator const& collision, FilteredTracks const& tracks, aod::FT0s const&, aod::BCsWithTimestamps const&)
{
if (!collision.sel8())
return;
auto bc = collision.bc_as<aod::BCsWithTimestamps>();
float cent = -1.;
float weightCent = 1.0f;
if (!cfgCentTableUnavailable) {
cent = getCentrality(collision);
}