AliAnalysisTaskEmcalJetPerformance.cxx

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#include <vector>

#include <TClonesArray.h>
#include <TH1F.h>
#include <TH2F.h>
#include <TH3.h>
#include <TList.h>
#include <THnSparse.h>
#include <TRandom3.h>
#include <TGrid.h>
#include <TFile.h>

#include <AliVCluster.h>
#include <AliVParticle.h>
#include <AliLog.h>

#include "AliAnalysisManager.h"
#include <AliVEventHandler.h>
#include "AliTLorentzVector.h"
#include "AliEmcalJet.h"
#include "AliRhoParameter.h"
#include "AliJetContainer.h"
#include "AliParticleContainer.h"
#include "AliClusterContainer.h"
#include "AliEMCALGeometry.h"
#include "AliOADBContainer.h"
#include "AliEmcalDownscaleFactorsOCDB.h"
#include "AliEMCALTriggerPatchInfo.h"
#include "AliAnalysisTaskEmcalEmbeddingHelper.h"
#include "AliMCEvent.h"

#include "AliAnalysisTaskEmcalJetPerformance.h"

ClassImp(AliAnalysisTaskEmcalJetPerformance);

AliAnalysisTaskEmcalJetPerformance::AliAnalysisTaskEmcalJetPerformance() : 
  AliAnalysisTaskEmcalJet(),
  fPlotJetHistograms(kFALSE),
  fPlotClusterHistograms(kFALSE),
  fPlotParticleCompositionHistograms(kFALSE),
  fComputeBackground(kFALSE),
  fDoTriggerSimulation(kFALSE),
  fPlotMatchedJetHistograms(kFALSE),
  fComputeMBDownscaling(kFALSE),
  fMaxPt(200),
  fNEtaBins(40),
  fNPhiBins(200),
  fNCentHistBins(0),
  fCentHistBins(0),
  fNPtHistBins(0),
  fPtHistBins(0),
  fNM02HistBins(0),
  fM02HistBins(0),
  fNEoverPBins(0),
  fEoverPBins(0),
  fTrackMatchingDeltaEtaMax(0.015),
  fTrackMatchingDeltaPhiMax(0.030),
  fMBUpscaleFactor(1.),
  fMedianEMCal(0.),
  fMedianDCal(0.),
  fkEMCEJE(kFALSE),
  fEmbeddingQA(),
  fUseAliEventCuts(kTRUE),
  fEventCuts(0),
  fEventCutList(0),
  fUseManualEventCuts(kFALSE),
  fGeneratorLevel(0),
  fHistManager()
{
  GenerateHistoBins();
}

AliAnalysisTaskEmcalJetPerformance::AliAnalysisTaskEmcalJetPerformance(const char *name) : 
  AliAnalysisTaskEmcalJet(name, kTRUE),
  fPlotJetHistograms(kFALSE),
  fPlotClusterHistograms(kFALSE),
  fPlotParticleCompositionHistograms(kFALSE),
  fComputeBackground(kFALSE),
  fDoTriggerSimulation(kFALSE),
  fPlotMatchedJetHistograms(kFALSE),
  fComputeMBDownscaling(kFALSE),
  fMaxPt(200),
  fNEtaBins(40),
  fNPhiBins(200),
  fNCentHistBins(0),
  fCentHistBins(0),
  fNPtHistBins(0),
  fPtHistBins(0),
  fNM02HistBins(0),
  fM02HistBins(0),
  fNEoverPBins(0),
  fEoverPBins(0),
  fTrackMatchingDeltaEtaMax(0.015),
  fTrackMatchingDeltaPhiMax(0.030),
  fMBUpscaleFactor(1.),
  fMedianEMCal(0.),
  fMedianDCal(0.),
  fkEMCEJE(kFALSE),
  fEmbeddingQA(),
  fUseAliEventCuts(kTRUE),
  fEventCuts(0),
  fEventCutList(0),
  fUseManualEventCuts(kFALSE),
  fGeneratorLevel(0),
  fHistManager(name)
{
  GenerateHistoBins();
}

AliAnalysisTaskEmcalJetPerformance::~AliAnalysisTaskEmcalJetPerformance()
{
}

void AliAnalysisTaskEmcalJetPerformance::GenerateHistoBins()
{
  fNCentHistBins = 4;
  fCentHistBins = new Double_t[fNCentHistBins+1];
  fCentHistBins[0] = 0;
  fCentHistBins[1] = 10;
  fCentHistBins[2] = 30;
  fCentHistBins[3] = 50;
  fCentHistBins[4] = 90;
  
  fNPtHistBins = 82;
  fPtHistBins = new Double_t[fNPtHistBins+1];
  GenerateFixedBinArray(6, 0, 0.3, fPtHistBins);
  GenerateFixedBinArray(7, 0.3, 1, fPtHistBins+6);
  GenerateFixedBinArray(10, 1, 3, fPtHistBins+13);
  GenerateFixedBinArray(14, 3, 10, fPtHistBins+23);
  GenerateFixedBinArray(10, 10, 20, fPtHistBins+37);
  GenerateFixedBinArray(15, 20, 50, fPtHistBins+47);
  GenerateFixedBinArray(20, 50, 150, fPtHistBins+62);
  
  fNM02HistBins = 81;
  fM02HistBins = new Double_t[fNM02HistBins+1];
  GenerateFixedBinArray(35, 0, 0.7, fM02HistBins);
  GenerateFixedBinArray(6, 0.7, 1., fM02HistBins+35);
  GenerateFixedBinArray(20, 1., 3., fM02HistBins+41);
  GenerateFixedBinArray(10, 3., 5., fM02HistBins+61);
  GenerateFixedBinArray(10, 5., 10., fM02HistBins+71);
  
  fNEoverPBins = 47;
  fEoverPBins = new Double_t[fNEoverPBins+1];
  GenerateFixedBinArray(30, 0, 1.5, fEoverPBins);
  GenerateFixedBinArray(10, 1.5, 3.5, fEoverPBins+30);
  GenerateFixedBinArray(7, 3.5, 10.5, fEoverPBins+40);
}

void AliAnalysisTaskEmcalJetPerformance::UserCreateOutputObjects()
{
  AliAnalysisTaskEmcalJet::UserCreateOutputObjects();
  
  // Intialize AliEventCuts
  if (fUseAliEventCuts) {
    fEventCutList = new TList();
    fEventCutList ->SetOwner();
    fEventCutList ->SetName("EventCutOutput");
    
    fEventCuts.OverrideAutomaticTriggerSelection(fOffTrigger);
    if(fUseManualEventCuts==1)
    {
      fEventCuts.SetManualMode();
      // Configure manual settings here
      // ...
    }
    fEventCuts.AddQAplotsToList(fEventCutList);
    fOutput->Add(fEventCutList);
  }
  
  // Get the MC particle branch, in case it exists
  fGeneratorLevel = GetMCParticleContainer("mcparticles");
  
  // Allocate histograms
  if (fPlotJetHistograms) {
    AllocateJetHistograms();
  }
  if (fPlotClusterHistograms) {
    AllocateClusterHistograms();
  }
  if (fPlotParticleCompositionHistograms) {
    AllocateParticleCompositionHistograms();
  }
  if (fComputeBackground) {
    AllocateBackgroundHistograms();
  }
  if (fDoTriggerSimulation) {
    AllocateTriggerSimHistograms();
  }
  if (fPlotMatchedJetHistograms) {
    AllocateMatchedJetHistograms();
  }
  
  // Initialize embedding QA
  const AliAnalysisTaskEmcalEmbeddingHelper * embeddingHelper = AliAnalysisTaskEmcalEmbeddingHelper::GetInstance();
  if (embeddingHelper) {
    bool res = fEmbeddingQA.Initialize();
    if (res) {
      fEmbeddingQA.AddQAPlotsToList(fOutput);
    }
  }
  
  TIter next(fHistManager.GetListOfHistograms());
  TObject* obj = 0;
  while ((obj = next())) {
    fOutput->Add(obj);
  }
  
  PostData(1, fOutput); // Post data for ALL output slots > 0 here.
}

/*
 * This function allocates the histograms for single jets.
 * A set of histograms is allocated per each jet container.
 */
void AliAnalysisTaskEmcalJetPerformance::AllocateJetHistograms()
{
  TString histname;
  TString title;
  
  Int_t nPtBins = TMath::CeilNint(fMaxPt/2);
  
  AliJetContainer* jets = 0;
  TIter nextJetColl(&fJetCollArray);
  while ((jets = static_cast<AliJetContainer*>(nextJetColl()))) {
    
    // Jet rejection reason
    histname = TString::Format("%s/JetHistograms/hJetRejectionReason", jets->GetArrayName().Data());
    title = histname + ";Rejection reason;#it{p}_{T,jet} (GeV/#it{c});counts";
    TH2* hist = fHistManager.CreateTH2(histname.Data(), title.Data(), 32, 0, 32, 50, 0, fMaxPt);
    SetRejectionReasonLabels(hist->GetXaxis());
    
    // Rho vs. Centrality
    if (!jets->GetRhoName().IsNull()) {
      histname = TString::Format("%s/JetHistograms/hRhoVsCent", jets->GetArrayName().Data());
      title = histname + ";Centrality (%);#rho (GeV/#it{c});counts";
      fHistManager.CreateTH2(histname.Data(), title.Data(), 50, 0, 100, 100, 0, 500);
    }
    
    // (Centrality, pT, NEF)
    Int_t nbinsx = 20; Int_t minx = 0; Int_t maxx = 100;
    Int_t nbinsy = nPtBins; Int_t miny = 0; Int_t maxy = fMaxPt;
    Int_t nbinsz = 50; Int_t minz = 0; Int_t maxz = 1.;
    
    histname = TString::Format("%s/JetHistograms/hNEFVsPtEMCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});NEF";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    histname = TString::Format("%s/JetHistograms/hNEFVsPtDCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});NEF";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    // (Centrality, pT upscaled, calo type)
    if (fComputeMBDownscaling) {
      histname = TString::Format("%s/JetHistograms/hPtUpscaledMB", jets->GetArrayName().Data());
      title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});type";
      fHistManager.CreateTH3(histname.Data(), title.Data(), 20, 0, 100, nPtBins, 0, fMaxPt, 2, -0.5, 1.5, "s");
    }
    
    // pT-leading vs. pT
    histname = TString::Format("%s/JetHistograms/hPtLeadingVsPt", jets->GetArrayName().Data());
    title = histname + ";#it{p}_{T}^{corr} (GeV/#it{c});#it{p}_{T,particle}^{leading} (GeV/#it{c})";
    fHistManager.CreateTH2(histname.Data(), title.Data(), nPtBins, 0, fMaxPt, nPtBins, 0, fMaxPt);
    
    // A vs. pT
    histname = TString::Format("%s/JetHistograms/hAreaVsPt", jets->GetArrayName().Data());
    title = histname + ";#it{p}_{T}^{corr} (GeV/#it{c});#it{A}_{jet}";
    fHistManager.CreateTH2(histname.Data(), title.Data(), nPtBins, 0, fMaxPt, fMaxPt/3, 0, 0.5);
    
    // (Centrality, pT, z-leading (charged))
    nbinsx = 20; minx = 0; maxx = 100;
    nbinsy = nPtBins; miny = 0; maxy = fMaxPt;
    nbinsz = 50; minz = 0; maxz = 1.;
    
    histname = TString::Format("%s/JetHistograms/hZLeadingVsPtEMCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});#it{z}_{leading}";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    histname = TString::Format("%s/JetHistograms/hZLeadingVsPtDCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});#it{z}_{leading}";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    // (Centrality, pT, z (charged))
    nbinsx = 20; minx = 0; maxx = 100;
    nbinsy = nPtBins; miny = 0; maxy = fMaxPt;
    nbinsz = 50; minz = 0; maxz = 1.;
    
    histname = TString::Format("%s/JetHistograms/hZVsPtEMCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});#it{z}";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    histname = TString::Format("%s/JetHistograms/hZVsPtDCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});#it{z}";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    // (Centrality, pT, Nconst, calo type)
    nbinsx = 20; minx = 0; maxx = 100;
    nbinsy = nPtBins; miny = 0; maxy = fMaxPt;
    nbinsz = 50; minz = 0; maxz = fMaxPt;
    
    histname = TString::Format("%s/JetHistograms/hNConstVsPtEMCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});No. of constituents";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    histname = TString::Format("%s/JetHistograms/hNConstVsPtDCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});No. of constituents";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    // (Centrality, jet pT, Enonlincorr - Ehadcorr)
    nbinsx = 20; minx = 0; maxx = 100;
    nbinsy = nPtBins; miny = 0; maxy = fMaxPt;
    nbinsz = nPtBins; minz = 0; maxz = fMaxPt;
    
    histname = TString::Format("%s/JetHistograms/hDeltaEHadCorr", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});#sum#it{E}_{nonlincorr} - #it{E}_{hadcorr}";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    // (Median patch energy, calo type, jet pT, centrality)
    if (fDoTriggerSimulation) {
      histname = TString::Format("%s/JetHistograms/hMedPatchJet", jets->GetArrayName().Data());
      title = histname + ";#it{E}_{patch,med};type;#it{p}_{T}^{corr} (GeV/#it{c});Centrality (%)";
      Int_t nbins5[4]  = {100, 2, nPtBins, 50};
      Double_t min5[4] = {0,-0.5, 0, 0};
      Double_t max5[4] = {50,1.5, fMaxPt, 100};
      fHistManager.CreateTHnSparse(histname.Data(), title.Data(), 4, nbins5, min5, max5);
    }
    
  }
  
  // MB downscale factor histogram
  if (fComputeMBDownscaling) {
    histname = "Trigger/hMBDownscaleFactor";
    title = histname + ";Downscale factor;counts";
    fHistManager.CreateTH1(histname.Data(), title.Data(), 200, 0, 200);
  }
  
}

/*
 * This function allocates the histograms for the calorimeter performance study.
 */
void AliAnalysisTaskEmcalJetPerformance::AllocateClusterHistograms()
{
  TString histname;
  TString htitle;
  
  const Int_t nRcorrBins = 50;
  Double_t *RcorrBins = GenerateFixedBinArray(nRcorrBins, 0., 1.);
  const Int_t nCellBins = 30;
  Double_t *cellBins = GenerateFixedBinArray(nCellBins, -0.5, 29.5);
  const Int_t nMatchedTrackBins = 5;
  Double_t *matchedTrackBins = GenerateFixedBinArray(nMatchedTrackBins, -0.5, 4.5);
  const Int_t nDeltaEtaBins = 60;
  Double_t *deltaEtaBins = GenerateFixedBinArray(nDeltaEtaBins, -0.015, 0.015);
  
  
  // Plot M02 distribution (centrality, Eclus nonlincorr, M02)
  histname = "ClusterHistograms/hM02";
  htitle = histname + ";Centrality (%);#it{E}_{clus} (GeV); M02";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, fNM02HistBins, fM02HistBins);
  
  // Plot Ncell distribution for M02 > 0.4 and 0.1 < M02 < 0.4 (centrality, Eclus nonlincorr, Ncells)
  histname = "ClusterHistograms/hNcellsM02G04";
  htitle = histname + ";Centrality (%);#it{E}_{clus} (GeV); Ncells";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, nCellBins, cellBins);
  
  histname = "ClusterHistograms/hNcellsM02L04";
  htitle = histname + ";Centrality (%);#it{E}_{clus} (GeV); Ncells";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, nCellBins, cellBins);
  
  
  // Plot matched track pT for all clusters, M02 > 0.4 clusters, and 0.1 < M02 < 0.4 clusters (centrality, Eclus nonlincorr, trackPsum)
  histname = "ClusterHistograms/hMatchedTrackPt";
  htitle = histname + ";Centrality (%);#it{E}_{clus} (GeV); #Sigma#it{p}_{track} (GeV/c)";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, fNPtHistBins, fPtHistBins);
  
  histname = "ClusterHistograms/hMatchedTrackPtM02G04";
  htitle = histname + ";Centrality (%);#it{E}_{clus} (GeV); #Sigma#it{p}_{track} (GeV/c)";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, fNPtHistBins, fPtHistBins);
  
  histname = "ClusterHistograms/hMatchedTrackPtM02L04";
  htitle = histname + ";Centrality (%);#it{E}_{clus} (GeV); #Sigma#it{p}_{track} (GeV/c)";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, fNPtHistBins, fPtHistBins);
  
  // Plot number of matched tracks for all clusters, M02 > 0.4 clusters, and 0.1 < M02 < 0.4 clusters (centrality, Eclus nonlincorr, N matches)
  histname = "ClusterHistograms/hMatchedTrackN";
  htitle = histname + ";Centrality (%);#it{E}_{clus} (GeV); N_{tracks}";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, nMatchedTrackBins, matchedTrackBins);
  
  histname = "ClusterHistograms/hMatchedTrackNM02G04";
  htitle = histname + ";Centrality (%);#it{E}_{clus} (GeV); N_{tracks}";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, nMatchedTrackBins, matchedTrackBins);
  
  histname = "ClusterHistograms/hMatchedTrackNM02L04";
  htitle = histname + ";Centrality (%);#it{E}_{clus} (GeV); N_{tracks}";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, nMatchedTrackBins, matchedTrackBins);
  
  // Plot M02 distribution for clusters with matched tracks (centrality, Eclus nonlincorr, M02)
  histname = "ClusterHistograms/hM02Matched";
  htitle = histname + ";Centrality (%);#it{E}_{clus} (GeV); M02";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, fNM02HistBins, fM02HistBins);
  
  // Plot M02 distribution for clusters without matched tracks (centrality, Eclus nonlincorr, M02)
  histname = "ClusterHistograms/hM02Unmatched";
  htitle = histname + ";Centrality (%);#it{E}_{clus} (GeV); M02";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, fNM02HistBins, fM02HistBins);
  
  // Plot clus-track deltaEta of matched tracks (deltaEta, Eclus, M02)
  histname = "ClusterHistograms/hDeltaEtaCentral";
  htitle = histname + ";#eta_{track} - #eta_{clus};#it{E}_{clus} (GeV); M02";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), nDeltaEtaBins, deltaEtaBins, fNPtHistBins, fPtHistBins, fNM02HistBins, fM02HistBins);
  
  histname = "ClusterHistograms/hDeltaEtaPeripheral";
  htitle = histname + ";#eta_{track} - #eta_{clus};#it{E}_{clus} (GeV); M02";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), nDeltaEtaBins, deltaEtaBins, fNPtHistBins, fPtHistBins, fNM02HistBins, fM02HistBins);
  
  
  // Plot E/p vs. M02 for 0-10% and 50-90% (Eclus nonlincorr, Eclus nonlincorr / trackPsum, M02)
  histname = "ClusterHistograms/hEoverPM02Central";
  htitle = histname + ";#it{E}_{clus} (GeV); #it{E}_{clus} / #Sigma#it{p}_{track} (GeV); M02";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNPtHistBins, fPtHistBins, fNEoverPBins, fEoverPBins, fNM02HistBins, fM02HistBins);
  
  histname = "ClusterHistograms/hEoverPM02Peripheral";
  htitle = histname + ";#it{E}_{clus} (GeV); #it{E}_{clus} / #Sigma#it{p}_{track} (GeV); M02";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNPtHistBins, fPtHistBins, fNEoverPBins, fEoverPBins, fNM02HistBins, fM02HistBins);
  
  
  // Plot Rcorr distribution (centrality, trackPSum, Rcorr = (Enonlincorr - Ehadcorr) / trackPSum)
  histname = "ClusterHistograms/hRcorrVsCent";
  htitle = histname + ";Centrality (%);#Sigma#it{p}_{track} (GeV); R_{corr} = #frac{#DeltaE_{clus}}{#Sigmap_{track}}";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, nRcorrBins, RcorrBins);
  
  // Plot Rcorr distribution for 0-10% centrality (Eclus nonlincorr, trackPSum, Rcorr)
  histname = "ClusterHistograms/hRcorr0-10";
  htitle = histname + ";#it{E}_{clus} (GeV);#Sigma#it{p}_{track} (GeV); R_{corr} = #frac{#DeltaE_{clus}}{#Sigmap_{track}}";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNPtHistBins, fPtHistBins, fNPtHistBins, fPtHistBins, nRcorrBins, RcorrBins);
  
  // Plot Rcorr distribution for 50-90% centrality (Eclus nonlincorr, trackPSum, Rcorr)
  histname = "ClusterHistograms/hRcorr50-90";
  htitle = histname + ";#it{E}_{clus} (GeV);#Sigma#it{p}_{track} (GeV); R_{corr} = #frac{#DeltaE_{clus}}{#Sigmap_{track}}";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNPtHistBins, fPtHistBins, fNPtHistBins, fPtHistBins, nRcorrBins, RcorrBins);
  
  // Plot also Rcorr-clus (centrality, trackPSum, Rcorr-clus = (Enonlincorr - Ehadcorr) / Enonlincorr )
  histname = "ClusterHistograms/hRcorrClusVsCent";
  htitle = histname + ";Centrality (%);#Sigma#it{p}_{track} (GeV); #frac{#DeltaE_{clus}}{E_{clus}}";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNPtHistBins, fPtHistBins, nRcorrBins, RcorrBins);
  
  // Rcorr-clus for 0-10% centrality (Eclus nonlincorr, trackPSum, Rcorr-clus = (Enonlincorr - Ehadcorr) / Enonlincorr )
  histname = "ClusterHistograms/hRcorrClus0-10";
  htitle = histname + ";#it{E}_{clus} (GeV);#Sigma#it{p}_{track} (GeV); #frac{#DeltaE_{clus}}{E_{clus}}";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNPtHistBins, fPtHistBins, fNPtHistBins, fPtHistBins, nRcorrBins, RcorrBins);
  
  // Rcorr-clus for 50-90% centrality (Eclus nonlincorr, trackPSum, Rcorr-clus = (Enonlincorr - Ehadcorr) / Enonlincorr )
  histname = "ClusterHistograms/hRcorrClus50-90";
  htitle = histname + ";#it{E}_{clus} (GeV);#Sigma#it{p}_{track} (GeV); #frac{#DeltaE_{clus}}{E_{clus}}";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNPtHistBins, fPtHistBins, fNPtHistBins, fPtHistBins, nRcorrBins, RcorrBins);
  
  // Plot total track multiplicity
  histname = "ClusterHistograms/hTrackMultiplicity";
  htitle = histname + ";N_{tracks};Centrality (%)";
  fHistManager.CreateTH2(histname.Data(), htitle.Data(), 1000, 0, 10000, 20, 0, 100);
}

/*
 * This function allocates the histograms for the jet composition study.
 */
void AliAnalysisTaskEmcalJetPerformance::AllocateParticleCompositionHistograms()
{
  TString histname;
  TString htitle;
  Int_t nPtBins = TMath::CeilNint(fMaxPt/2);
  
  const Int_t nRejBins = 32;
  Double_t* rejReasonBins = new Double_t[nRejBins+1];
  GenerateFixedBinArray(nRejBins, 0, nRejBins, rejReasonBins);
  const Int_t nContributorTypes = 11;
  Double_t *contributorTypeBins = GenerateFixedBinArray(nContributorTypes, -0.5, 10.5);
  const Int_t nParticleTypes = 17;
  Double_t *particleTypeBins = GenerateFixedBinArray(nParticleTypes, -0.5, 16.5);
  
  AliEmcalContainer* cont = 0;
  TIter nextClusColl(&fClusterCollArray);
  while ((cont = static_cast<AliEmcalContainer*>(nextClusColl()))) {
    
    histname = "ClusterHistogramsMC/hClusterRejectionReasonMC";
    htitle = histname + ";Rejection reason;#it{E}_{clus} (GeV/)";
    TH2* histMC2 = fHistManager.CreateTH2(histname.Data(), htitle.Data(), nRejBins, rejReasonBins, fNPtHistBins, fPtHistBins);
    SetRejectionReasonLabels(histMC2->GetXaxis());
  }
  
  // M02 vs. Energy vs. Particle type
  histname = "ClusterHistogramsMC/hM02VsParticleTypeCentral";
  htitle = histname + ";M02;#it{E}_{clus} (GeV); Particle type";
  TH3* hM02VsParticleTypeCentral = fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNM02HistBins, fM02HistBins, fNPtHistBins, fPtHistBins, nParticleTypes, particleTypeBins);
  SetParticleTypeLabels(hM02VsParticleTypeCentral->GetZaxis());
  
  histname = "ClusterHistogramsMC/hM02VsParticleTypePeripheral";
  htitle = histname + ";M02;#it{E}_{clus} (GeV); Particle type";
  TH3* hM02VsParticleTypePeripheral = fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNM02HistBins, fM02HistBins, fNPtHistBins, fPtHistBins, nParticleTypes, particleTypeBins);
  SetParticleTypeLabels(hM02VsParticleTypePeripheral->GetZaxis());
  
  // Plot photon energy in photon-hadron overlap clusters (Centrality, Photon energy, M02)
  histname = "ClusterHistogramsMC/hPhotonHadronPhotonEnergy";
  htitle = histname + ";Centrality (%);M02;#it{E}_{photon} (GeV)";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNM02HistBins, fM02HistBins, fNPtHistBins, fPtHistBins);
  
  // Plot hadron energy in hadron-photon overlap clusters (Centrality, Photon energy, M02)
  histname = "ClusterHistogramsMC/hHadronPhotonHadronEnergy";
  htitle = histname + ";Centrality (%);M02;#it{E}_{hadron} (GeV)";
  fHistManager.CreateTH3(histname.Data(), htitle.Data(), fNCentHistBins, fCentHistBins, fNM02HistBins, fM02HistBins, fNPtHistBins, fPtHistBins);
  
  if (fPlotJetHistograms) {
  
    // M02 vs. Energy vs. Particle type vs. Jet pT, for particles inside jets
    Int_t dim = 0;
    TString title[20];
    Int_t nbins[20] = {0};
    Double_t min[30] = {0.};
    Double_t max[30] = {0.};
    Double_t *binEdges[20] = {0};
    
    title[dim] = "M02";
    nbins[dim] = fNM02HistBins;
    binEdges[dim] = fM02HistBins;
    min[dim] = fM02HistBins[0];
    max[dim] = fM02HistBins[fNM02HistBins];
    dim++;
    
    title[dim] = "#it{E}_{clus} (GeV)";
    nbins[dim] = fNPtHistBins;
    binEdges[dim] = fPtHistBins;
    min[dim] = fPtHistBins[0];
    max[dim] = fPtHistBins[fNPtHistBins];
    dim++;
    
    title[dim] = "Contributor type";
    nbins[dim] = nContributorTypes;
    min[dim] = -0.5;
    max[dim] = 7.5;
    binEdges[dim] = contributorTypeBins;
    dim++;
    
    title[dim] = "#it{p}_{T,jet}^{corr}";
    nbins[dim] = nPtBins;
    min[dim] = 0;
    max[dim] = fMaxPt;
    binEdges[dim] = GenerateFixedBinArray(nbins[dim], min[dim], max[dim]);
    dim++;
    
    TString thnname = "JetPerformanceMC/hM02VsContributorTypeJets";
    THnSparse* hn = fHistManager.CreateTHnSparse(thnname.Data(), thnname.Data(), dim, nbins, min, max);
    for (Int_t i = 0; i < dim; i++) {
      hn->GetAxis(i)->SetTitle(title[i]);
      hn->SetBinEdges(i, binEdges[i]);
    }
    
    // Particle composition inside each jet -- jet pT vs. particle type vs. particle number vs. particle pT sum
    // (One entry per jet for each particle type)
    dim = 0;
    
    title[dim] = "#it{p}_{T,jet}^{corr}";
    nbins[dim] = nPtBins;
    min[dim] = 0;
    max[dim] = fMaxPt;
    binEdges[dim] = GenerateFixedBinArray(nbins[dim], min[dim], max[dim]);
    dim++;
    
    title[dim] = "Contributor type";
    nbins[dim] = nContributorTypes;
    min[dim] = -0.5;
    max[dim] = 7.5;
    binEdges[dim] = contributorTypeBins;
    dim++;
    
    title[dim] = "N";
    nbins[dim] = 30;
    min[dim] = -0.5;
    max[dim] = 29.5;
    binEdges[dim] = GenerateFixedBinArray(nbins[dim], min[dim], max[dim]);
    dim++;
    
    title[dim] = "#it{p}_{T,sum} (GeV)";
    nbins[dim] = fNPtHistBins;
    binEdges[dim] = fPtHistBins;
    min[dim] = fPtHistBins[0];
    max[dim] = fPtHistBins[fNPtHistBins];
    dim++;
    
    thnname = "JetPerformanceMC/hJetComposition";
    THnSparse* thn = fHistManager.CreateTHnSparse(thnname.Data(), thnname.Data(), dim, nbins, min, max);
    for (Int_t i = 0; i < dim; i++) {
      thn->GetAxis(i)->SetTitle(title[i]);
      thn->SetBinEdges(i, binEdges[i]);
    }
    
    // Hadronic calo energy in each jet
    
    // Jet pT vs. Summed energy of hadronic clusters without a matched track
    histname = "JetPerformance/hHadCaloEnergyUnmatched";
    htitle = histname + ";#it{p}_{T,jet} (GeV);#it{p}_{T,had} (GeV)";
    fHistManager.CreateTH2(histname.Data(), htitle.Data(), fNPtHistBins, fPtHistBins, fNPtHistBins, fPtHistBins);
    
    // Jet pT vs. Summed energy of hadronic clusters with a matched track (before hadronic correction)
    histname = "JetPerformance/hHadCaloEnergyMatchedNonlincorr";
    htitle = histname + ";#it{p}_{T,jet} (GeV);#it{p}_{T,had} (GeV)";
    fHistManager.CreateTH2(histname.Data(), htitle.Data(), fNPtHistBins, fPtHistBins, fNPtHistBins, fPtHistBins);
    
    // Jet pT vs. Summed energy of hadronic clusters with a matched track (after hadronic correction)
    histname = "JetPerformance/hHadCaloEnergyMatchedHadCorr";
    htitle = histname + ";#it{p}_{T,jet} (GeV);#it{p}_{T,had} (GeV)";
    fHistManager.CreateTH2(histname.Data(), htitle.Data(), fNPtHistBins, fPtHistBins, fNPtHistBins, fPtHistBins);
    
  }
  
}

/*
 * This function sets axis labels for particle type histograms.
 */
void AliAnalysisTaskEmcalJetPerformance::SetParticleTypeLabels(TAxis* axis)
{
  axis->SetBinLabel(1,  "SinglePhoton");
  axis->SetBinLabel(2,  "SingleElectron");
  axis->SetBinLabel(3,  "SingleChargedPion");
  axis->SetBinLabel(4,  "SingleProton");
  axis->SetBinLabel(5,  "SingleAntiProton");
  axis->SetBinLabel(6,  "SingleChargedKaon");
  axis->SetBinLabel(7,  "SingleK0L");
  axis->SetBinLabel(8,  "SingleNeutron");
  axis->SetBinLabel(9,  "SingleAntiNeutron");
  axis->SetBinLabel(10, "SingleOther");
  axis->SetBinLabel(11, "PhotonHadron");
  axis->SetBinLabel(12, "HadronPhoton");
  axis->SetBinLabel(13, "MergedPi0");
  axis->SetBinLabel(14, "PhotonPhotonOther");
  axis->SetBinLabel(15, "HadronHadron");
  axis->SetBinLabel(16, "TwoContributorsOther");
  axis->SetBinLabel(17, "MoreThanTwoContributors");
}
      
/*
 * This function allocates background subtraction histograms, if enabled.
 * A set of histograms is allocated per each jet container.
 */
void AliAnalysisTaskEmcalJetPerformance::AllocateBackgroundHistograms()
{
  TString histname;
  TString title;
  
  AliJetContainer* jets = 0;
  TIter nextJetColl(&fJetCollArray);
  while ((jets = static_cast<AliJetContainer*>(nextJetColl()))) {
    
    // EMCal
    histname = TString::Format("%s/BackgroundHistograms/hScaleFactorEMCal", jets->GetArrayName().Data());
    title = histname + ";Centrality;Scale factor;counts";
    fHistManager.CreateTH2(histname.Data(), title.Data(), 50, 0, 100, 100, 0, 5);
    
    histname = TString::Format("%s/BackgroundHistograms/hDeltaPtEMCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#delta#it{p}_{T} (GeV/#it{c});counts";
    fHistManager.CreateTH2(histname.Data(), title.Data(), 10, 0, 100, 400, -50, 150);
    
    histname = TString::Format("%s/BackgroundHistograms/hScaleFactorEMCalFid", jets->GetArrayName().Data());
    title = histname + ";Centrality;Scale factor;counts";
    fHistManager.CreateTH2(histname.Data(), title.Data(), 50, 0, 100, 100, 0, 5);
    
    // DCal
    histname = TString::Format("%s/BackgroundHistograms/hScaleFactorDCal", jets->GetArrayName().Data());
    title = histname + ";Centrality;Scale factor;counts";
    fHistManager.CreateTH2(histname.Data(), title.Data(), 50, 0, 100, 100, 0, 5);
    
    histname = TString::Format("%s/BackgroundHistograms/hDeltaPtDCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#delta#it{p}_{T} (GeV/#it{c});counts";
    fHistManager.CreateTH2(histname.Data(), title.Data(), 10, 0, 100, 400, -50, 150);
    
    histname = TString::Format("%s/BackgroundHistograms/hScaleFactorDCalFid", jets->GetArrayName().Data());
    title = histname + ";Centrality;Scale factor;counts";
    fHistManager.CreateTH2(histname.Data(), title.Data(), 50, 0, 100, 100, 0, 5);
    
  }
}

/*
 * This function allocates the histograms for single jets, when the "simulated" trigger has been fired.
 * A set of histograms is allocated per each jet container.
 */
void AliAnalysisTaskEmcalJetPerformance::AllocateTriggerSimHistograms()
{
  TString histname;
  TString title;
  Int_t nPtBins = TMath::CeilNint(fMaxPt/2);
  
  //----------------------------------------------
  // Trigger patch histograms
  
  // patch eta vs. phi
  histname = "TriggerSimHistograms/hEtaVsPhi";
  title = histname + ";#eta_{patch} (rad);#phi_{patch} (rad)";
  fHistManager.CreateTH2(histname.Data(), title.Data(), 140, -0.7, 0.7, 500, 1., 6.);
  
  // N patches
  histname = "TriggerSimHistograms/hNPatches";
  title = histname + ";#it{N}_{patches};type";
  fHistManager.CreateTH2(histname.Data(), title.Data(), 200, 0, 200, 2, -0.5, 1.5);
  
  // patch E vs. centrality
  histname = "TriggerSimHistograms/hPatchE";
  title = histname + ";Centrality (%);#it{E}_{patch} (GeV)";
  fHistManager.CreateTH2(histname.Data(), title.Data(), 50, 0, 100, nPtBins, 0, fMaxPt);
  
  // patch median vs. Centrality
  histname = "TriggerSimHistograms/hPatchMedianE";
  title = histname + ";Centrality (%);#it{E}_{patch,med} (GeV);type";
  fHistManager.CreateTH3(histname.Data(), title.Data(), 50, 0, 100, 100, 0, 50, 2, -0.5, 1.5);
  
  //----------------------------------------------
  // Jet histograms for "triggered" events
  AliJetContainer* jets = 0;
  TIter nextJetColl(&fJetCollArray);
  while ((jets = static_cast<AliJetContainer*>(nextJetColl()))) {
    
    // Jet rejection reason
    histname = TString::Format("%s/TriggerSimHistograms/hJetRejectionReason", jets->GetArrayName().Data());
    title = histname + ";Rejection reason;#it{p}_{T,jet} (GeV/#it{c});counts";
    TH2* hist = fHistManager.CreateTH2(histname.Data(), title.Data(), 32, 0, 32, 50, 0, fMaxPt);
    SetRejectionReasonLabels(hist->GetXaxis());
    
    // Rho vs. Centrality
    if (!jets->GetRhoName().IsNull()) {
      histname = TString::Format("%s/TriggerSimHistograms/hRhoVsCent", jets->GetArrayName().Data());
      title = histname + ";Centrality (%);#rho (GeV/#it{c});counts";
      fHistManager.CreateTH2(histname.Data(), title.Data(), 50, 0, 100, 100, 0, 500);
    }
    
    // (Centrality, pT, NEF)
    Int_t nbinsx = 20; Int_t minx = 0; Int_t maxx = 100;
    Int_t nbinsy = nPtBins; Int_t miny = 0; Int_t maxy = fMaxPt;
    Int_t nbinsz = 50; Int_t minz = 0; Int_t maxz = 1.;
    
    histname = TString::Format("%s/TriggerSimHistograms/hNEFVsPtEMCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});NEF";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    histname = TString::Format("%s/TriggerSimHistograms/hNEFVsPtDCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});NEF";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    // pT-leading vs. pT
    histname = TString::Format("%s/TriggerSimHistograms/hPtLeadingVsPt", jets->GetArrayName().Data());
    title = histname + ";#it{p}_{T}^{corr} (GeV/#it{c});#it{p}_{T,particle}^{leading} (GeV/#it{c})";
    fHistManager.CreateTH2(histname.Data(), title.Data(), nPtBins, 0, fMaxPt, nPtBins, 0, fMaxPt);
    
    // A vs. pT
    histname = TString::Format("%s/TriggerSimHistograms/hAreaVsPt", jets->GetArrayName().Data());
    title = histname + ";#it{p}_{T}^{corr} (GeV/#it{c});#it{A}_{jet}";
    fHistManager.CreateTH2(histname.Data(), title.Data(), nPtBins, 0, fMaxPt, fMaxPt/3, 0, 0.5);
    
    // (Centrality, pT, z-leading (charged))
    nbinsx = 20; minx = 0; maxx = 100;
    nbinsy = nPtBins; miny = 0; maxy = fMaxPt;
    nbinsz = 50; minz = 0; maxz = 1.;
    
    histname = TString::Format("%s/TriggerSimHistograms/hZLeadingVsPtEMCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});#it{z}_{leading}";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    histname = TString::Format("%s/TriggerSimHistograms/hZLeadingVsPtDCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});#it{z}_{leading}";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    // z (charged) vs. pT
    nbinsx = 20; minx = 0; maxx = 100;
    nbinsy = nPtBins; miny = 0; maxy = fMaxPt;
    nbinsz = 50; minz = 0; maxz = 1.;
    
    histname = TString::Format("%s/TriggerSimHistograms/hZVsPtEMCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});#it{z}";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    histname = TString::Format("%s/TriggerSimHistograms/hZVsPtDCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});#it{z}";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    // (Centrality, pT, Nconst)
    nbinsx = 20; minx = 0; maxx = 100;
    nbinsy = nPtBins; miny = 0; maxy = fMaxPt;
    nbinsz = 50; minz = 0; maxz = fMaxPt;
    
    histname = TString::Format("%s/TriggerSimHistograms/hNConstVsPtEMCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});No. of constituents";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
    histname = TString::Format("%s/TriggerSimHistograms/hNConstVsPtDCal", jets->GetArrayName().Data());
    title = histname + ";Centrality (%);#it{p}_{T}^{corr} (GeV/#it{c});No. of constituents";
    fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
    
  }
}

/*
 * This function allocates histograms for matched truth-det jets in the case of embedding.
 * The jet matching information must be previously filled by another task, such as AliJetResponseMaker.
 */
void AliAnalysisTaskEmcalJetPerformance::AllocateMatchedJetHistograms()
{
  TString histname;
  TString title;
  Int_t nPtBins = TMath::CeilNint(fMaxPt/2);
  
  // Response matrix, (centrality, pT-truth, pT-det)
  Int_t nbinsx = 20; Int_t minx = 0; Int_t maxx = 100;
  Int_t nbinsy = fMaxPt; Int_t miny = 0; Int_t maxy = fMaxPt;
  Int_t nbinsz = fMaxPt; Int_t minz = 0; Int_t maxz = fMaxPt;
  
  histname = "MatchedJetHistograms/hResponseMatrixEMCal";
  title = histname + ";Centrality (%);#it{p}_{T}^{truth} (GeV/#it{c});#it{p}_{T,corr}^{det} (GeV/#it{c})";
  fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
  
  histname = "MatchedJetHistograms/hResponseMatrixDCal";
  title = histname + ";Centrality (%);#it{p}_{T}^{truth} (GeV/#it{c});#it{p}_{T,corr}^{det} (GeV/#it{c})";
  fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
  
  // JES shift, (centrality, pT-truth, (pT-det - pT-truth) / pT-truth)
  nbinsx = 20; minx = 0; maxx = 100;
  nbinsy = nPtBins; miny = 0; maxy = fMaxPt;
  nbinsz = 250; minz = -5.; maxz = 5.;
  
  histname = "MatchedJetHistograms/hJESshiftEMCal";
  title = histname + ";Centrality (%);#it{p}_{T}^{truth} (GeV/#it{c});#frac{#it{p}_{T,corr}^{det} - #it{p}_{T}^{truth}}{#it{p}_{T}^{truth}}";
  fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
  
  histname = "MatchedJetHistograms/hJESshiftDCal";
  title = histname + ";Centrality (%);#it{p}_{T}^{truth} (GeV/#it{c});#frac{#it{p}_{T,corr}^{det} - #it{p}_{T}^{truth}}{#it{p}_{T}^{truth}}";
  fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
  
  // NEF of det-level matched jets, (centrality, pT-truth, NEF)
  nbinsx = 20; minx = 0; maxx = 100;
  nbinsy = nPtBins; miny = 0; maxy = fMaxPt;
  nbinsz = 50; minz = 0; maxz = 1.;
  
  histname = "MatchedJetHistograms/hNEFVsPt";
  title = histname + ";Centrality (%);#it{p}_{T,corr}^{det} (GeV/#it{c});Calo energy fraction";
  fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
  
  // z-leading (charged) of det-level matched jets, (centrality, pT-truth, z-leading)
  nbinsx = 20; minx = 0; maxx = 100;
  nbinsy = nPtBins; miny = 0; maxy = fMaxPt;
  nbinsz = 50; minz = 0; maxz = 1.;
  
  histname = "MatchedJetHistograms/hZLeadingVsPt";
  title = histname + ";Centrality (%);#it{p}_{T,corr}^{det} (GeV/#it{c});#it{z}_{leading}";
  fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);
  
  // Matching distance, (centrality, pT-truth, R)
  nbinsx = 20; minx = 0; maxx = 100;
  nbinsy = nPtBins; miny = 0; maxy = fMaxPt;
  nbinsz = 50; minz = 0; maxz = 1.;
  
  histname = "MatchedJetHistograms/hMatchingDistance";
  title = histname + ";Centrality (%);#it{p}_{T}^{truth} (GeV/#it{c});R";
  fHistManager.CreateTH3(histname.Data(), title.Data(), nbinsx, minx, maxx, nbinsy, miny, maxy, nbinsz, minz, maxz);

}

void AliAnalysisTaskEmcalJetPerformance::ExecOnce()
{
  // Configure base class to set fTriggerPatchInfo to array of trigger patches, each event
  // (Need to call this before base class ExecOnce)
  if (fDoTriggerSimulation) {
    this->SetCaloTriggerPatchInfoName("EmcalTriggers");
  }
  
  AliAnalysisTaskEmcalJet::ExecOnce();
  
  fNeedEmcalGeom = kTRUE;
  
  // Check if trigger patches are loaded
  if (fDoTriggerSimulation) {
    if (fTriggerPatchInfo) {
      TString objname(fTriggerPatchInfo->GetClass()->GetName());
      TClass cls(objname);
      if (!cls.InheritsFrom("AliEMCALTriggerPatchInfo")) {
        AliError(Form("%s: Objects of type %s in %s are not inherited from AliEMCALTriggerPatchInfo!",
                      GetName(), cls.GetName(), "EmcalTriggers"));
        fTriggerPatchInfo = 0;
      }
    }
    if (!fTriggerPatchInfo) {
      AliError(Form("%s: Unable to get trigger patch container with name %s. Aborting", GetName(), "EmcalTriggers"));
      return;
    }
  }
}

void AliAnalysisTaskEmcalJetPerformance::RunChanged(Int_t run){
  
  // Get the downscaling factors for MB triggers (to be used to calculate trigger efficiency)
  
  if (fPlotJetHistograms && fComputeMBDownscaling) {
    
    // Get instance of the downscale factor helper class
    PWG::EMCAL::AliEmcalDownscaleFactorsOCDB *downscaleOCDB = PWG::EMCAL::AliEmcalDownscaleFactorsOCDB::Instance();
    downscaleOCDB->SetRun(InputEvent()->GetRunNumber());
    
    // There are two possible min bias triggers for LHC15o
    TString triggerNameMB1 = "CINT7-B-NOPF-CENT";
    TString triggerNameMB2 = "CV0L7-B-NOPF-CENT";
    TString triggerNameJE = "CINT7EJ1-B-NOPF-CENTNOPMD";
    
    // Get the downscale factor for whichever MB trigger exists in the given run
    std::vector<TString> runtriggers = downscaleOCDB->GetTriggerClasses();
    Double_t downscalefactor;
    for (auto i : runtriggers) {
      if (i.EqualTo(triggerNameMB1) || i.EqualTo(triggerNameMB2)) {
        downscalefactor = downscaleOCDB->GetDownscaleFactorForTriggerClass(i.Data());
        break;
      }
    }
    
    // Store the inverse of the downscale factor, used later to weight the pT spectrum
    fMBUpscaleFactor = 1/downscalefactor;
    
    TString histname = "Trigger/hMBDownscaleFactor";
    fHistManager.FillTH1(histname.Data(), fMBUpscaleFactor);
    
  }
  
}

Bool_t AliAnalysisTaskEmcalJetPerformance::IsEventSelected()
{
  if (fUseAliEventCuts) {
    if (!fEventCuts.AcceptEvent(InputEvent()))
    {
      PostData(1, fOutput);
      return kFALSE;
    }
  }
  else {
    AliAnalysisTaskEmcal::IsEventSelected();
  }
  return kTRUE;
}

Bool_t AliAnalysisTaskEmcalJetPerformance::Run()
{
  TString histname;
  AliJetContainer* jetCont = 0;
  TIter next(&fJetCollArray);
  while ((jetCont = static_cast<AliJetContainer*>(next()))) {
    TString jetContName = jetCont->GetName();
    
    // Do a simple trigger simulation (if requested)
    if (fDoTriggerSimulation) {
      DoTriggerSimulation();
    }
    
  }
  
  // Compute the full jet background scale factor and delta-pt
  if (fComputeBackground) {
    ComputeBackground();
  }
  
  // Only fill the embedding qa plots if:
  //  - We are using the embedding helper
  //  - The class has been initialized
  //  - Both jet collections are available
  if (fEmbeddingQA.IsInitialized()) {
    fEmbeddingQA.RecordEmbeddedEventProperties();
  }
  
  return kTRUE;
}

void AliAnalysisTaskEmcalJetPerformance::DoTriggerSimulation()
{
  TString histname;
  
  // Check if trigger patches are loaded
  if (fTriggerPatchInfo) {
    TString objname(fTriggerPatchInfo->GetClass()->GetName());
    TClass cls(objname);
    if (!cls.InheritsFrom("AliEMCALTriggerPatchInfo")) {
      AliError(Form("%s: Objects of type %s in %s are not inherited from AliEMCALTriggerPatchInfo!",
                    GetName(), cls.GetName(), "EmcalTriggers"));
      fTriggerPatchInfo = 0;
    }
  }
  if (!fTriggerPatchInfo) {
    AliError(Form("%s: Unable to get trigger patch container with name %s. Aborting", GetName(), "EmcalTriggers"));
    return;
  }
  
  // Compute patches in EMCal, DCal (I want offline simple trigger patch, i.e. patch calculated using FEE energy)
  std::vector<Double_t> vecEMCal;
  std::vector<Double_t> vecDCal;
  for(auto p : *fTriggerPatchInfo){
    AliEMCALTriggerPatchInfo *recpatch = static_cast<AliEMCALTriggerPatchInfo *>(p);
    if (recpatch) {
      
      if(!recpatch->IsJetHighSimple()) continue;
      
      histname = "TriggerSimHistograms/hEtaVsPhi";
      fHistManager.FillTH2(histname.Data(), recpatch->GetEtaGeo(), recpatch->GetPhiGeo());
      
      histname = "TriggerSimHistograms/hPatchE";
      fHistManager.FillTH2(histname.Data(), fCent, recpatch->GetPatchE());
      
      if (recpatch->IsEMCal()) {
        vecEMCal.push_back(recpatch->GetPatchE());
      } else {
        vecDCal.push_back(recpatch->GetPatchE());
      }
      
    }
  }
  
  // Compute the median in each calorimeter
  const Int_t nBkgPatchesEMCal = vecEMCal.size(); // 6*8;
  const Int_t nBkgPatchesDCal = vecDCal.size();   // 4*5;
  fMedianEMCal = TMath::Median(nBkgPatchesEMCal, &vecEMCal[0]); // point to array used internally by vector
  fMedianDCal = TMath::Median(nBkgPatchesDCal, &vecDCal[0]);
  
  histname = "TriggerSimHistograms/hPatchMedianE";
  fHistManager.FillTH3(histname.Data(), fCent, fMedianEMCal, kEMCal);
  fHistManager.FillTH3(histname.Data(), fCent, fMedianDCal, kDCal);
  
  histname = "TriggerSimHistograms/hNPatches";
  fHistManager.FillTH2(histname.Data(), nBkgPatchesEMCal, kEMCal);
  fHistManager.FillTH2(histname.Data(), nBkgPatchesDCal, kDCal);
  
  // Then compute background subtracted patches, by subtracting from each patch the median patch E from the opposite hemisphere
  // If a patch is above threshold, the event is "triggered"
  Bool_t fkEMCEJE = kFALSE;
  Double_t threshold = 20;
  for(auto p : *fTriggerPatchInfo){
    AliEMCALTriggerPatchInfo *recpatch = static_cast<AliEMCALTriggerPatchInfo *>(p);
    if (recpatch) {
      
      if(!recpatch->IsJetHighSimple()) continue;
      
      if (recpatch->IsEMCal()) {
        if ((recpatch->GetPatchE() - fMedianDCal) > threshold) {
          fkEMCEJE = kTRUE;
          break;
        }
      } else {
        if ((recpatch->GetPatchE() - fMedianEMCal) > threshold) {
          fkEMCEJE = kTRUE;
          break;
        }
      }
    }
  }
  
  if (fkEMCEJE) {
    FillTriggerSimHistograms();
  }
  
}

Bool_t AliAnalysisTaskEmcalJetPerformance::FillHistograms()
{
  
  if (fPlotJetHistograms) {
    FillJetHistograms();
  }
  if (fPlotClusterHistograms) {
    FillClusterHistograms();
  }
  if (fPlotParticleCompositionHistograms) {
    FillParticleCompositionHistograms();
  }
  if (fPlotMatchedJetHistograms) {
    FillMatchedJetHistograms();
  }
  
  return kTRUE;
}

void AliAnalysisTaskEmcalJetPerformance::FillJetHistograms()
{
  TString histname;
  AliJetContainer* jets = 0;
  TIter nextJetColl(&fJetCollArray);
  while ((jets = static_cast<AliJetContainer*>(nextJetColl()))) {
    TString jetContName = jets->GetName();
    
    Double_t rhoVal = 0;
    if (jets->GetRhoParameter()) {
      rhoVal = jets->GetRhoVal();
      histname = TString::Format("%s/JetHistograms/hRhoVsCent", jets->GetArrayName().Data());
      fHistManager.FillTH2(histname.Data(), fCent, rhoVal);
    }
    
    for (auto jet : jets->all()) {
      
      Float_t ptLeading = jets->GetLeadingHadronPt(jet);
      Float_t corrPt = GetJetPt(jet, rhoVal);
      
      // A vs. pT (fill before area cut)
      histname = TString::Format("%s/JetHistograms/hAreaVsPt", jets->GetArrayName().Data());
      fHistManager.FillTH2(histname.Data(), corrPt, jet->Area());
      
      
      // Rejection reason
      UInt_t rejectionReason = 0;
      if (!jets->AcceptJet(jet, rejectionReason)) {
        histname = TString::Format("%s/JetHistograms/hJetRejectionReason", jets->GetArrayName().Data());
        fHistManager.FillTH2(histname.Data(), jets->GetRejectionReasonBitPosition(rejectionReason), jet->Pt());
        continue;
      }
      
      // compute jet acceptance type
      Double_t type = GetJetType(jet);
      if ( (type != kEMCal) && (type != kDCal) ) {
        continue;
      }
      
      // (Centrality, pT, NEF)
      if (type == kEMCal) {
        histname = TString::Format("%s/JetHistograms/hNEFVsPtEMCal", jets->GetArrayName().Data());
      }
      else if (type == kDCal) {
        histname = TString::Format("%s/JetHistograms/hNEFVsPtDCal", jets->GetArrayName().Data());
      }
      fHistManager.FillTH3(histname, fCent, corrPt, jet->NEF());
      
      // (Centrality, pT upscaled, calo type)
      if (fComputeMBDownscaling) {
        histname = TString::Format("%s/JetHistograms/hPtUpscaledMB", jets->GetArrayName().Data());
        fHistManager.FillTH3(histname.Data(), fCent, corrPt, type, fMBUpscaleFactor);
      }
      
      // pT-leading vs. pT
      histname = TString::Format("%s/JetHistograms/hPtLeadingVsPt", jets->GetArrayName().Data());
      fHistManager.FillTH2(histname.Data(), corrPt, ptLeading);
      
      // (Centrality, pT, z-leading (charged))
      if (type == kEMCal) {
        histname = TString::Format("%s/JetHistograms/hZLeadingVsPtEMCal", jets->GetArrayName().Data());
      }
      else if (type == kDCal) {
        histname = TString::Format("%s/JetHistograms/hZLeadingVsPtDCal", jets->GetArrayName().Data());
      }
      TLorentzVector leadPart;
      jets->GetLeadingHadronMomentum(leadPart, jet);
      Double_t z = GetParallelFraction(leadPart.Vect(), jet);
      if (z == 1 || (z > 1 && z - 1 < 1e-3)) z = 0.999; // so that it will contribute to the bin <1
      fHistManager.FillTH3(histname, fCent, corrPt, z);
      
      // (Centrality, pT, z (charged))
      if (type == kEMCal) {
        histname = TString::Format("%s/JetHistograms/hZVsPtEMCal", jets->GetArrayName().Data());
      }
      else if (type == kDCal) {
        histname = TString::Format("%s/JetHistograms/hZVsPtDCal", jets->GetArrayName().Data());
      }
      const AliVTrack* track;
      for (Int_t i=0; i<jet->GetNumberOfTracks(); i++) {
        track = static_cast<AliVTrack*>(jet->Track(i));
        z = track->Pt() / TMath::Abs(corrPt);
        fHistManager.FillTH3(histname, fCent, corrPt, z);
      }
 
      // (Centrality, pT, Nconst)
      if (type == kEMCal) {
        histname = TString::Format("%s/JetHistograms/hNConstVsPtEMCal", jets->GetArrayName().Data());
      }
      else if (type == kDCal) {
        histname = TString::Format("%s/JetHistograms/hNConstVsPtDCal", jets->GetArrayName().Data());
      }
      fHistManager.FillTH3(histname, fCent, corrPt, 1.*jet->GetNumberOfConstituents());
      
      // (Centrality, jet pT, Enonlincorr - Ehadcorr)
      Double_t deltaEhadcorr = 0;
      const AliVCluster* clus = nullptr;
      Int_t nClusters = jet->GetNumberOfClusters();
      for (Int_t iClus = 0; iClus < nClusters; iClus++) {
        clus = jet->Cluster(iClus);
        deltaEhadcorr += (clus->GetNonLinCorrEnergy() - clus->GetHadCorrEnergy());
      }
      
      histname = TString::Format("%s/JetHistograms/hDeltaEHadCorr", jets->GetArrayName().Data());
      fHistManager.FillTH3(histname, fCent, corrPt, deltaEhadcorr);
      
      
      // (Median patch energy, calo type, jet pT, centrality)
      if (fDoTriggerSimulation) {
        histname = TString::Format("%s/JetHistograms/hMedPatchJet", jets->GetArrayName().Data());
        Double_t x[4] = {fMedianEMCal, kEMCal, corrPt, fCent};
        fHistManager.FillTHnSparse(histname, x);
        Double_t y[4] = {fMedianDCal, kDCal, corrPt, fCent};
        fHistManager.FillTHnSparse(histname, y);
      }
      
    } //jet loop
    
  }
}
      
/*
 * This function fills the histograms for the calorimeter performance study.
 */
void AliAnalysisTaskEmcalJetPerformance::FillClusterHistograms()
{
  TString histname;
  
  // Loop through clusters
  AliClusterContainer* clusters = GetClusterContainer(0);
  const AliVCluster* clus;
  for (auto it : clusters->accepted_momentum()) {
    
    clus = it.second;
    Double_t clusPhi = it.first.Phi_0_2pi();
    Double_t clusEta = it.first.Eta();
    
    // Include only EMCal/DCal clusters
    if (!clus->IsEMCAL()) {
      continue;
    }
    
    // Compute the sum of matched track momentum, and various track matching / hadronic corretion quantities
    Double_t trackPSum = 0;
    Int_t nTracksMatched = 0;
    const AliVTrack* track = nullptr;
    for (Int_t itrack=0; itrack < clus->GetNTracksMatched(); itrack++) {
      track = dynamic_cast<AliVTrack*>(clus->GetTrackMatched(itrack));
      if (!track) {
        continue;
      }
      
      Double_t trackPhi = TVector2::Phi_0_2pi(track->GetTrackPhiOnEMCal());
      Double_t trackEta = track->GetTrackEtaOnEMCal();
      Double_t deta = TMath::Abs(clusEta - trackEta);
      Double_t dphi = TMath::Abs(clusPhi - trackPhi);
      
      if (deta < fTrackMatchingDeltaEtaMax && dphi < fTrackMatchingDeltaPhiMax) {
        trackPSum += track->P();
        nTracksMatched++;
      }
    }
    
    Double_t EoverP = 0;
    if (trackPSum > 1e-3) {
      EoverP = clus->GetNonLinCorrEnergy() / trackPSum;
    }
    
    Double_t deltaE = clus->GetNonLinCorrEnergy() - clus->GetHadCorrEnergy();
    Double_t Rcorr = 0;
    if (trackPSum > 1e-3) {
      Rcorr = deltaE / trackPSum;
    }
    Double_t RcorrClus = deltaE / clus->GetNonLinCorrEnergy();
    

    // Fill M02 distribution (centrality, Eclus nonlincorr, M02)
    histname = "ClusterHistograms/hM02";
    fHistManager.FillTH3(histname, fCent, clus->GetNonLinCorrEnergy(), clus->GetM02());
    
    // Plot Ncell distribution for M02 > 0.4 or M02 < 0.4 (centrality, Eclus nonlincorr, Ncells)
    if (clus->GetM02() > 0.4) {
      histname = "ClusterHistograms/hNcellsM02G04";
      fHistManager.FillTH3(histname, fCent, clus->GetNonLinCorrEnergy(), clus->GetNCells());
    }
    if (clus->GetM02() > 0.1 && clus->GetM02() < 0.4) {
      histname = "ClusterHistograms/hNcellsM02L04";
      fHistManager.FillTH3(histname, fCent, clus->GetNonLinCorrEnergy(), clus->GetNCells());
    }
    
  
    // Plot matched track pT (centrality, Eclus nonlincorr, trackPsum)
    histname = "ClusterHistograms/hMatchedTrackPt";
    fHistManager.FillTH3(histname, fCent, clus->GetNonLinCorrEnergy(), trackPSum);
    
    if (clus->GetM02() > 0.4) {
      histname = "ClusterHistograms/hMatchedTrackPtM02G04";
      fHistManager.FillTH3(histname, fCent, clus->GetNonLinCorrEnergy(), trackPSum);
    }
    if (clus->GetM02() > 0.1 && clus->GetM02() < 0.4) {
      histname = "ClusterHistograms/hMatchedTrackPtM02L04";
      fHistManager.FillTH3(histname, fCent, clus->GetNonLinCorrEnergy(), trackPSum);
    }
    
    // Plot number of matched tracks (centrality, Eclus nonlincorr, N matches)
    histname = "ClusterHistograms/hMatchedTrackN";
    fHistManager.FillTH3(histname, fCent, clus->GetNonLinCorrEnergy(), nTracksMatched);
    
    if (clus->GetM02() > 0.4) {
      histname = "ClusterHistograms/hMatchedTrackNM02G04";
      fHistManager.FillTH3(histname, fCent, clus->GetNonLinCorrEnergy(), nTracksMatched);
    }
    if (clus->GetM02() > 0.1 && clus->GetM02() < 0.4) {
      histname = "ClusterHistograms/hMatchedTrackNM02L04";
      fHistManager.FillTH3(histname, fCent, clus->GetNonLinCorrEnergy(), nTracksMatched);
    }
    
    // Plot M02 distribution for clusters with matched tracks (centrality, Eclus nonlincorr, M02)
    histname = "ClusterHistograms/hM02Matched";
    if (nTracksMatched > 0) {
      fHistManager.FillTH3(histname, fCent, clus->GetNonLinCorrEnergy(), clus->GetM02());
    }
    
    // Plot M02 distribution for clusters without matched tracks (centrality, Eclus nonlincorr, M02)
    histname = "ClusterHistograms/hM02Unmatched";
    if (nTracksMatched == 0) {
      fHistManager.FillTH3(histname, fCent, clus->GetNonLinCorrEnergy(), clus->GetM02());
    }
    
    // Plot clus-track deltaEta if there is one matched track (deltaEta, Eclus, M02)
    if (nTracksMatched == 1) {
      
      const AliVTrack* track = dynamic_cast<AliVTrack*>(clus->GetTrackMatched(0));
      if (track) {
        Double_t trackEta = track->GetTrackEtaOnEMCal();
        Double_t deta = trackEta - clusEta;
        
        if (fCent > 0 && fCent < 10) {
          histname = "ClusterHistograms/hDeltaEtaCentral";
          fHistManager.FillTH3(histname.Data(), deta, clus->GetNonLinCorrEnergy(), clus->GetM02());
        }
        
        if (fCent > 50 && fCent < 90) {
          histname = "ClusterHistograms/hDeltaEtaPeripheral";
          fHistManager.FillTH3(histname.Data(), deta, clus->GetNonLinCorrEnergy(), clus->GetM02());
        }
      }
    }
    

    // Plot E/p vs. M02 for 0-10% and 50-90% (Eclus nonlincorr, Eclus nonlincorr / trackPsum, M02)
    if (fCent > 0 && fCent < 10) {
      histname = "ClusterHistograms/hEoverPM02Central";
      fHistManager.FillTH3(histname, clus->GetNonLinCorrEnergy(), EoverP, clus->GetM02());
    }
    if (fCent > 50 && fCent < 90) {
      histname = "ClusterHistograms/hEoverPM02Peripheral";
      fHistManager.FillTH3(histname, clus->GetNonLinCorrEnergy(), EoverP, clus->GetM02());
    }
    
    
    // Fill Rcorr distribution (centrality, trackPSum, Rcorr = (Enonlincorr - Ehadcorr) / trackPSum)
    histname = "ClusterHistograms/hRcorrVsCent";
    fHistManager.FillTH3(histname, fCent, trackPSum, Rcorr);
    
    // Fill Rcorr distribution for 0-10% centrality (Eclus nonlincorr, trackPSum, Rcorr)
    if (fCent > 0 && fCent < 10) {
      histname = "ClusterHistograms/hRcorr0-10";
      fHistManager.FillTH3(histname, clus->GetNonLinCorrEnergy(), trackPSum, Rcorr);
    }
    
    // Fill Rcorr distribution for 50-90% centrality (Eclus nonlincorr, trackPSum, Rcorr)
    if (fCent > 50 && fCent < 90) {
      histname = "ClusterHistograms/hRcorr50-90";
      fHistManager.FillTH3(histname, clus->GetNonLinCorrEnergy(), trackPSum, Rcorr);
    }
    
    // Fill also Rcorr-clus (centrality, trackPSum, Rcorr-clus = (Enonlincorr - Ehadcorr) / Enonlincorr )
    histname = "ClusterHistograms/hRcorrClusVsCent";
    fHistManager.FillTH3(histname, fCent, trackPSum, RcorrClus);
    
    // Fill Rcorr-clus for 0-10% centrality (Eclus nonlincorr, trackPSum, Rcorr-clus = (Enonlincorr - Ehadcorr) / Enonlincorr )
    if (fCent > 0 && fCent < 10) {
      histname = "ClusterHistograms/hRcorrClus0-10";
      fHistManager.FillTH3(histname, clus->GetNonLinCorrEnergy(), trackPSum, RcorrClus);
    }
    
    // Fill Rcorr-clus for 50-90% centrality (Eclus nonlincorr, trackPSum, Rcorr-clus = (Enonlincorr - Ehadcorr) / Enonlincorr )
    if (fCent > 50 && fCent < 90) {
      histname = "ClusterHistograms/hRcorrClus50-90";
      fHistManager.FillTH3(histname, clus->GetNonLinCorrEnergy(), trackPSum, RcorrClus);
    }
    
  }
  
  // Fill total track multiplicity
  histname = "ClusterHistograms/hTrackMultiplicity";
  AliTrackContainer* trackCont = dynamic_cast<AliTrackContainer*>(GetParticleContainer("tracks"));
  Int_t nTracks = trackCont->GetNAcceptedTracks();
  fHistManager.FillTH2(histname.Data(), nTracks, fCent);

}

/*
 * This function fills particle composition histograms for the calorimeter performance study in MC.
 */
void AliAnalysisTaskEmcalJetPerformance::FillParticleCompositionHistograms()
{
  // If MC, get the MC event
  const AliMCEvent* mcevent = nullptr;
  if (fGeneratorLevel) {
    mcevent = MCEvent();
  }
  else {
    return;
  }
  
  // Loop through clusters, and plot M02 for each particle type
  FillParticleCompositionClusterHistograms(mcevent);
  
  // Loop through jets, to fill various histograms
  if (fPlotJetHistograms) {
    FillParticleCompositionJetHistograms(mcevent);
  }
  
}

/*
 * Loop through clusters, and plot M02 for each particle type
 */
void AliAnalysisTaskEmcalJetPerformance::FillParticleCompositionClusterHistograms(const AliMCEvent* mcevent)
{
  TString histname;
  AliClusterContainer* clusters = GetClusterContainer(0);
  const AliVCluster* clus;
  std::vector<ContributorType> vecContributorTypes;
  std::vector<Int_t> vecContributorLabels;
  for (auto it : clusters->accepted_momentum()) {
    
    clus = it.second;
    
    // Include only EMCal/DCal clusters (reject PHOS clusters)
    if (!clus->IsEMCAL()) {
      continue;
    }
    
    // Loop through the cluster's contributors in order to classify its type
    ParticleType particleType = kNotDefined;
    ContributorType contributorType = kUndefined;
    const Int_t nLabels = clus->GetNLabels();
    
    // Create a vector to store the contributor types for PhysicalPrimary particles
    vecContributorTypes.clear();
    vecContributorLabels.clear();
    for (Int_t iLabel=0; iLabel<nLabels; iLabel++) {
      
      Int_t label = clus->GetLabels()[iLabel];
      if (TMath::Abs(label) > 0) { // if the particle has a truth-level match, the label is nonzero
        contributorType = GetContributorType(clus, mcevent, label);
        if (contributorType != kUndefined) {
          vecContributorTypes.push_back(contributorType);
          vecContributorLabels.push_back(label);
        }
      }
    }
    
    Int_t nLabelsPhysPrim = vecContributorTypes.size();
    
    if (nLabelsPhysPrim == 1) {
      
      contributorType = vecContributorTypes[0];
      
      if (contributorType == kPhoton) {
        particleType = kSinglePhoton;
      }
      else if (contributorType == kElectron) {
        particleType = kSingleElectron;
      }
      else if (contributorType == kChargedPion) {
        particleType = kSingleChargedPion;
      }
      else if (contributorType == kProton) {
        particleType = kSingleProton;
      }
      else if (contributorType == kAntiProton) {
        particleType = kSingleAntiProton;
      }
      else if (contributorType == kChargedKaon) {
        particleType = kSingleChargedKaon;
      }
      else if (contributorType == kK0L) {
        particleType = kSingleK0L;
      }
      else if (contributorType == kNeutron) {
        particleType = kSingleNeutron;
      }
      else if (contributorType == kAntiNeutron) {
        particleType = kSingleAntiNeutron;
      }
      else {
        particleType = kSingleOther;
      }
      
    }
    else if (nLabelsPhysPrim == 2) {
      
      // Get the contributor particle types
      ContributorType contributorType1 = vecContributorTypes[0];
      ContributorType contributorType2 = vecContributorTypes[1];
      
      // Get the fraction of cluster energy from each contributor
      //Double_t frac0 = clus->GetClusterMCEdepFraction(0);
      Double_t frac1 = clus->GetClusterMCEdepFraction(1);
      
      // Check whether the leading/subleading contributors are photons/hadrons
      Bool_t isHadron1 = IsHadron(contributorType1);
      Bool_t isHadron2 = IsHadron(contributorType2);
      Bool_t isPhoton1 = contributorType1 == kPhoton;
      Bool_t isPhoton2 = contributorType2 == kPhoton;
      
      if (isHadron1 && isHadron2) {
        particleType = kHadronHadron;
      }
      else if (isPhoton1 && isHadron2) {
        particleType = kPhotonHadron;
        
        // Plot cluster energy when subleading hadron is subtracted
        Double_t photonEnergy = clus->GetNonLinCorrEnergy() * (1 - frac1);
        histname = "ClusterHistogramsMC/hPhotonHadronPhotonEnergy";
        fHistManager.FillTH3(histname.Data(), fCent, clus->GetM02(), photonEnergy);
      }
      else if (isHadron1 && isPhoton2) {
        particleType = kHadronPhoton;
        
        // Plot cluster energy when subleading hadron is subtracted
        Double_t hadronEnergy = clus->GetNonLinCorrEnergy() * (1 - frac1);
        histname = "ClusterHistogramsMC/hHadronPhotonHadronEnergy";
        fHistManager.FillTH3(histname.Data(), fCent, clus->GetM02(), hadronEnergy);
      }
      else if (isPhoton1 && isPhoton2) {
        
        // By default, assume the two photons are not a merged pi0
        particleType = kPhotonPhotonOther;

        // Using the vector of accepted contributor labels, check whether the two photons are from the same pi0
        AliAODMCParticle *part1 = fGeneratorLevel->GetMCParticleWithLabel(vecContributorLabels[0]);
        AliAODMCParticle *part2 = fGeneratorLevel->GetMCParticleWithLabel(vecContributorLabels[1]);
        if (part1 && part2) {
          Int_t iMother1 = part1->GetMother();
          Int_t iMother2 = part2->GetMother();
          AliVParticle *mother1 = mcevent->GetTrack(iMother1);
          AliVParticle *mother2 = mcevent->GetTrack(iMother2);
          
          if (mother1 && mother2) {
            if ( (mother1->PdgCode() == 111) && (mother2->PdgCode() == 111) ) {
              if (iMother1 == iMother2) {
                particleType = kMergedPi0;
              }
            }
          }
        }
      }
      else {
        particleType = kTwoContributorsOther; // this includes partially contained conversion overlaps
      }
      
    }
    else if (nLabelsPhysPrim > 2) {
      particleType = kMoreThanTwoContributors;
    }
    
    // (M02, Eclus, part type)
    if (fCent > 0 && fCent < 10) {
      histname = "ClusterHistogramsMC/hM02VsParticleTypeCentral";
      fHistManager.FillTH3(histname, clus->GetM02(), clus->GetNonLinCorrEnergy(), particleType);
    }
    if (fCent > 50 && fCent < 90) {
      histname = "ClusterHistogramsMC/hM02VsParticleTypePeripheral";
      fHistManager.FillTH3(histname, clus->GetM02(), clus->GetNonLinCorrEnergy(), particleType);
    }
    
  }
}

/*
 * Loop through jets, to fill particle composition histograms.
 */
void AliAnalysisTaskEmcalJetPerformance::FillParticleCompositionJetHistograms(const AliMCEvent* mcevent)
{
  TString histname;
  
  const AliVCluster* clus;
  AliJetContainer* jets = GetJetContainer(0); // there is only a single, det-level jet finder here
  for (const auto jet : jets->accepted()) {
    
    Double_t jetPt = GetJetPt(jet, 0);
    
    // Keep track of hadronic calo energy in each jet
    Double_t hadCaloEnergyUnmatched = 0;
    Double_t hadCaloEnergyMatchedNonlincorr = 0;
    Double_t hadCaloEnergyMatchedHadCorr = 0;
    
    // Loop through clusters in each jet, to plot several histograms
    Int_t nClusters = jet->GetNumberOfClusters();
    for (Int_t iClus = 0; iClus < nClusters; iClus++) {
      
      clus = jet->Cluster(iClus);
      
      // Get the particle type of the cluster
      ContributorType contributorType = kUndefined;
      Int_t label = TMath::Abs(clus->GetLabel());
      if (label > 0) {
        contributorType = GetContributorType(clus, mcevent, label);
      }
      
      // Plot M02 for each particle type
      histname = "JetPerformanceMC/hM02VsContributorTypeJets";
      Double_t x[4] = {clus->GetM02(), clus->GetNonLinCorrEnergy(), contributorType, jetPt};
      fHistManager.FillTHnSparse(histname, x);
      
      // If the cluster is a hadron, sum its energy to compute the jet's hadronic calo energy
      Bool_t isHadron = IsHadron(contributorType);
      if (isHadron) {
        Bool_t hasMatchedTrack = (clus->GetNTracksMatched() > 0);
        //Bool_t hasMatchedTrack = ((clus->GetNonLinCorrEnergy() - clus->GetHadCorrEnergy()) > 1e-3);
        if (hasMatchedTrack) {
          hadCaloEnergyMatchedNonlincorr += clus->GetNonLinCorrEnergy();
          hadCaloEnergyMatchedHadCorr += clus->GetHadCorrEnergy();
        }
        else {
          hadCaloEnergyUnmatched += clus->GetNonLinCorrEnergy();
        }
      }
      
    }
    
    // Fill hadronic calo energy in each jet
    
    // (Jet pT, Summed energy of hadronic clusters without a matched track)
    histname = "JetPerformance/hHadCaloEnergyUnmatched";
    fHistManager.FillTH2(histname, jetPt, hadCaloEnergyUnmatched);
    
    // (Jet pT vs. Summed energy of hadronic clusters with a matched track (before hadronic correction))
    histname = "JetPerformance/hHadCaloEnergyMatchedNonlincorr";
    fHistManager.FillTH2(histname, jetPt, hadCaloEnergyMatchedNonlincorr);
    
    // (Jet pT vs. Summed energy of hadronic clusters with a matched track (after hadronic correction))
    histname = "JetPerformance/hHadCaloEnergyMatchedHadCorr";
    fHistManager.FillTH2(histname, jetPt, hadCaloEnergyMatchedHadCorr);
    
    // Loop through particle types, and plot jet composition for each particle type
    histname = "JetPerformanceMC/hJetComposition";
    for (Int_t type = 0; type < 8; type++) {
      
      ContributorType contributorType = kUndefined;
      Double_t nSum = 0;
      Double_t pTsum = 0;
      
      // Loop through clusters in jet, and add to sum if cluster matches particle type
      for (Int_t iClus = 0; iClus < nClusters; iClus++) {
        
        clus = jet->Cluster(iClus);
        
        Int_t label = TMath::Abs(clus->GetLabel());
        if (label > 0) {
          contributorType = GetContributorType(clus, mcevent, label);
        }
        
        if (type == contributorType) {
          nSum++;
          pTsum += clus->GetNonLinCorrEnergy();
        }
      }
      
      // Fill jet composition histogram
      Double_t x[4] = {jetPt, 1.*type, nSum, pTsum};
      fHistManager.FillTHnSparse(histname, x);
      
    }
  }
}

void AliAnalysisTaskEmcalJetPerformance::ComputeBackground()
{
  // Loop over tracks and clusters in order to:
  //   (1) Compute scale factor for full jets
  //   (2) Compute delta-pT for full jets, with the random cone method
  
  // Define the acceptance boundaries for the TPC and EMCal/DCal/PHOS
  Double_t etaTPC = 0.9;
  Double_t etaEMCal = 0.7;
  Double_t etaMinDCal = 0.22;
  Double_t phiMinEMCal = fGeom->GetArm1PhiMin() * TMath::DegToRad(); // 80
  Double_t phiMaxEMCal = fGeom->GetEMCALPhiMax() * TMath::DegToRad(); // ~188
  Double_t phiMinDCal = fGeom->GetDCALPhiMin() * TMath::DegToRad(); // 260
  Double_t phiMaxDCal = fGeom->GetDCALPhiMax() * TMath::DegToRad(); // ~327 (1/3 SMs start at 320)
  
  Double_t accTPC = 2 * etaTPC * 2 * TMath::Pi();
  Double_t accEMCal = 2 * etaEMCal * (phiMaxEMCal - phiMinEMCal);
  Double_t accDCal = 2 * (etaEMCal - etaMinDCal) * (phiMaxDCal - phiMinDCal);
  
  // Loop over jet containers
  AliJetContainer* jetCont = 0;
  TIter nextJetColl(&fJetCollArray);
  while ((jetCont = static_cast<AliJetContainer*>(nextJetColl()))) {
    
    // Define fiducial acceptances, to be used to generate random cones, and for scale factor studies
    TRandom3* r = new TRandom3(0);
    Double_t jetR = jetCont->GetJetRadius();
    Double_t etaEMCalfid = etaEMCal - jetR;
    Double_t etaMinDCalfid = etaMinDCal + jetR;
    Double_t phiMinEMCalfid = phiMinEMCal + jetR;
    Double_t phiMaxEMCalfid = phiMaxEMCal - jetR;
    Double_t phiMinDCalfid = phiMinDCal + jetR;
    Double_t phiMaxDCalfid = phiMaxDCal - jetR;
    Double_t accEMCalfid = 2 * etaEMCalfid * (phiMaxEMCalfid - phiMinEMCalfid);
    Double_t accDCalfid = 2 * (etaEMCalfid - etaMinDCalfid) * (phiMaxDCalfid - phiMinDCalfid);
    if ( (etaEMCalfid - etaMinDCalfid) < 0) {
      accDCalfid = 0;
    }
    
    // Generate EMCal random cone eta-phi
    Double_t etaEMCalRC = r->Uniform(-etaEMCalfid, etaEMCalfid);
    Double_t phiEMCalRC = r->Uniform(phiMinEMCalfid, phiMaxEMCalfid);
    
    // Generate DCal random cone eta-phi
    Double_t etaDCalRC = r->Uniform(etaMinDCalfid, etaEMCalfid);
    Double_t sign = r->Uniform(-1., 1.);
    if (sign < 0) {
      etaDCalRC = -1*etaDCalRC;
    }
    Double_t phiDCalRC = r->Uniform(phiMinDCalfid, phiMaxDCalfid);
    
    // Initialize the various sums to 0
    Double_t trackPtSumTPC = 0;
    Double_t trackPtSumEMCal = 0;
    Double_t trackPtSumEMCalfid = 0;
    Double_t trackPtSumDCal = 0;
    Double_t trackPtSumDCalfid = 0;
    Double_t trackPtSumEMCalRC = 0;
    Double_t trackPtSumDCalRC = 0;
    Double_t clusPtSumEMCal = 0;
    Double_t clusPtSumEMCalfid = 0;
    Double_t clusPtSumDCal = 0;
    Double_t clusPtSumDCalfid = 0;
    Double_t clusPtSumEMCalRC = 0;
    Double_t clusPtSumDCalRC = 0;
    
    // Loop over tracks. Sum the track pT:
    // (1) in the entire TPC, (2) in the EMCal, (3) in the EMCal fiducial volume, (4) in the DCal, (5) in the DCal fiducial volume, (6) in the EMCal random cone, (7) in the DCal random cone
    // Note: Loops over all det-level track containers. For data there should be only one. For embedding, there should be signal+background tracks.
    AliParticleContainer * partCont = 0;
    AliTLorentzVector track;
    Double_t trackEta;
    Double_t trackPhi;
    Double_t trackPt;
    Double_t deltaR;
    TIter nextPartCont(&fParticleCollArray);
    while ((partCont = static_cast<AliParticleContainer*>(nextPartCont()))) {
      
      TString partContName = partCont->GetName();
      if (!partContName.CompareTo("tracks")) {
        
        AliTrackContainer* trackCont = dynamic_cast<AliTrackContainer*>(partCont);
        for (auto trackIterator : trackCont->accepted_momentum() ) {
          
          track.Clear();
          track = trackIterator.first;
          trackEta = track.Eta();
          trackPhi = track.Phi_0_2pi();
          trackPt = track.Pt();
          
          // (1)
          if (TMath::Abs(trackEta) < etaTPC) {
            trackPtSumTPC += trackPt;
          }
          
          // (2)
          if (TMath::Abs(trackEta) < etaEMCal && trackPhi > phiMinEMCal && trackPhi < phiMaxEMCal) {
            trackPtSumEMCal += trackPt;
          }
          
          // (3)
          if (TMath::Abs(trackEta) < etaEMCalfid && trackPhi > phiMinEMCalfid && trackPhi < phiMaxEMCalfid) {
            trackPtSumEMCalfid += trackPt;
          }
          
          // (4)
          if (TMath::Abs(trackEta) > etaMinDCal && TMath::Abs(trackEta) < etaEMCal && trackPhi > phiMinDCal && trackPhi < phiMaxDCal) {
            trackPtSumDCal += trackPt;
          }
          
          // (5)
          if (TMath::Abs(trackEta) > etaMinDCalfid && TMath::Abs(trackEta) < etaEMCalfid && trackPhi > phiMinDCalfid && trackPhi < phiMaxDCalfid) {
            trackPtSumDCalfid += trackPt;
          }
          
          // (6)
          deltaR = GetDeltaR(&track, etaEMCalRC, phiEMCalRC);
          if (deltaR < jetR) {
            trackPtSumEMCalRC += trackPt;
          }
          
          // (7)
          deltaR = GetDeltaR(&track, etaDCalRC, phiDCalRC);
          if (deltaR < jetR) {
            trackPtSumDCalRC += trackPt;
          }
        }
      }
    }
    
    // Loop over clusters. Sum the cluster ET:
    // (1) in the EMCal, (2) in the EMCal fiducial volume, (3) in the DCal, (4), in the DCal fiducial volume, (5) in the EMCal random cone, (6) in the DCal random cone
    AliClusterContainer* clusCont = GetClusterContainer(0);
    AliTLorentzVector clus;
    Double_t clusEta;
    Double_t clusPhi;
    Double_t clusPt;
    for (auto clusIterator : clusCont->accepted_momentum() ) {
      
      clus.Clear();
      clus = clusIterator.first;
      clusEta = clus.Eta();
      clusPhi = clus.Phi_0_2pi();
      clusPt = clus.Pt();
      
      // (1)
      if (TMath::Abs(clusEta) < etaEMCal && clusPhi > phiMinEMCal && clusPhi < phiMaxEMCal) {
        clusPtSumEMCal += clusPt;
      }
      
      // (2)
      if (TMath::Abs(clusEta) < etaEMCalfid && clusPhi > phiMinEMCalfid && clusPhi < phiMaxEMCalfid) {
        clusPtSumEMCalfid += clusPt;
      }
      
      // (3)
      if (TMath::Abs(clusEta) > etaMinDCal && TMath::Abs(clusEta) < etaEMCal && clusPhi > phiMinDCal && clusPhi < phiMaxDCal) {
        clusPtSumDCal += clusPt;
      }
      
      // (4)
      if (TMath::Abs(clusEta) > etaMinDCalfid && TMath::Abs(clusEta) < etaEMCalfid && clusPhi > phiMinDCalfid && clusPhi < phiMaxDCalfid) {
        clusPtSumDCalfid += clusPt;
      }
      
      // (5)
      deltaR = GetDeltaR(&clus, etaEMCalRC, phiEMCalRC);
      if (deltaR < jetR) {
        clusPtSumEMCalRC += clusPt;
      }
      
      // (6)
      deltaR = GetDeltaR(&clus, etaDCalRC, phiDCalRC);
      if (deltaR < jetR) {
        clusPtSumDCalRC += clusPt;
      }
      
    }
    
    // Compute the scale factor, as a function of centrality, for (1) EMCal, (2) EMCalfid, (3) DCal, (4) DCalfid
    // (1)
    Double_t numerator = (trackPtSumEMCal + clusPtSumEMCal) / accEMCal;
    Double_t denominator = trackPtSumTPC / accTPC;
    Double_t scaleFactor = numerator / denominator;
    TString histname = TString::Format("%s/BackgroundHistograms/hScaleFactorEMCal", jetCont->GetArrayName().Data());
    fHistManager.FillTH2(histname, fCent, scaleFactor);
    
    // (2)
    if (accEMCalfid > 1e-3) {
      numerator = (trackPtSumEMCalfid + clusPtSumEMCalfid) / accEMCalfid;
      scaleFactor = numerator / denominator;
      histname = TString::Format("%s/BackgroundHistograms/hScaleFactorEMCalFid", jetCont->GetArrayName().Data());
      fHistManager.FillTH2(histname, fCent, scaleFactor);
    }
    
    // (3)
    numerator = (trackPtSumDCal + clusPtSumDCal) / accDCal;
    scaleFactor = numerator / denominator;
    histname = TString::Format("%s/BackgroundHistograms/hScaleFactorDCal", jetCont->GetArrayName().Data());
    fHistManager.FillTH2(histname, fCent, scaleFactor);
    
    // (4)
    if (accDCalfid > 1e-3) {
      numerator = (trackPtSumDCalfid + clusPtSumDCalfid) / accDCalfid;
      scaleFactor = numerator / denominator;
      histname = TString::Format("%s/BackgroundHistograms/hScaleFactorDCalFid", jetCont->GetArrayName().Data());
      fHistManager.FillTH2(histname, fCent, scaleFactor);
    }
    
    // Compute delta pT, as a function of centrality
    
    // EMCal
    Double_t rho = jetCont->GetRhoVal();
    Double_t deltaPt = trackPtSumEMCalRC + clusPtSumEMCalRC - rho * TMath::Pi() * jetR * jetR;
    histname = TString::Format("%s/BackgroundHistograms/hDeltaPtEMCal", jetCont->GetArrayName().Data());
    fHistManager.FillTH2(histname, fCent, deltaPt);
    
    // DCal
    if (accDCalfid > 1e-3) {
      deltaPt = trackPtSumDCalRC + clusPtSumDCalRC - rho * TMath::Pi() * jetR * jetR;
      histname = TString::Format("%s/BackgroundHistograms/hDeltaPtDCal", jetCont->GetArrayName().Data());
      fHistManager.FillTH2(histname, fCent, deltaPt);
    }
    
    delete r;
    
  }
  
}
      
void AliAnalysisTaskEmcalJetPerformance::FillTriggerSimHistograms()
{
  TString histname;
  AliJetContainer* jets = 0;
  TIter nextJetColl(&fJetCollArray);
  while ((jets = static_cast<AliJetContainer*>(nextJetColl()))) {
    TString jetContName = jets->GetName();

    Double_t rhoVal = 0;
    if (jets->GetRhoParameter()) {
      rhoVal = jets->GetRhoVal();
      histname = TString::Format("%s/TriggerSimHistograms/hRhoVsCent", jets->GetArrayName().Data());
      fHistManager.FillTH2(histname.Data(), fCent, rhoVal);
    }
    
    for (auto jet : jets->all()) {
      
      Float_t ptLeading = jets->GetLeadingHadronPt(jet);
      Float_t corrPt = GetJetPt(jet, rhoVal);
      
      // A vs. pT (fill before area cut)
      histname = TString::Format("%s/TriggerSimHistograms/hAreaVsPt", jets->GetArrayName().Data());
      fHistManager.FillTH2(histname.Data(), corrPt, jet->Area());
      
      // Rejection reason
      UInt_t rejectionReason = 0;
      if (!jets->AcceptJet(jet, rejectionReason)) {
        histname = TString::Format("%s/TriggerSimHistograms/hJetRejectionReason", jets->GetArrayName().Data());
        fHistManager.FillTH2(histname.Data(), jets->GetRejectionReasonBitPosition(rejectionReason), jet->Pt());
        continue;
      }
      
      // compute jet acceptance type
      Double_t type = GetJetType(jet);
      if ( (type != kEMCal) && (type != kDCal) ) {
        continue;
      }
      
      // (Centrality, pT, NEF, calo type)
      if (type == kEMCal) {
        histname = TString::Format("%s/TriggerSimHistograms/hNEFVsPtEMCal", jets->GetArrayName().Data());
      }
      else if (type == kDCal) {
        histname = TString::Format("%s/TriggerSimHistograms/hNEFVsPtDCal", jets->GetArrayName().Data());
      }
      fHistManager.FillTH3(histname, fCent, corrPt, jet->NEF());
      
      // pT-leading vs. pT
      histname = TString::Format("%s/TriggerSimHistograms/hPtLeadingVsPt", jets->GetArrayName().Data());
      fHistManager.FillTH2(histname.Data(), corrPt, ptLeading);
      
      // (Centrality, pT, z-leading (charged), calo type)
      if (type == kEMCal) {
        histname = TString::Format("%s/TriggerSimHistograms/hZLeadingVsPtEMCal", jets->GetArrayName().Data());
      }
      else if (type == kDCal) {
        histname = TString::Format("%s/TriggerSimHistograms/hZLeadingVsPtDCal", jets->GetArrayName().Data());
      }
      TLorentzVector leadPart;
      jets->GetLeadingHadronMomentum(leadPart, jet);
      Double_t z = GetParallelFraction(leadPart.Vect(), jet);
      if (z == 1 || (z > 1 && z - 1 < 1e-3)) z = 0.999; // so that it will contribute to the bin <1
      fHistManager.FillTH3(histname, fCent, corrPt, z);
      
      // (Centrality, pT, z (charged), calo type)
      if (type == kEMCal) {
        histname = TString::Format("%s/TriggerSimHistograms/hZVsPtEMCal", jets->GetArrayName().Data());
      }
      else if (type == kDCal) {
        histname = TString::Format("%s/TriggerSimHistograms/hZVsPtDCal", jets->GetArrayName().Data());
      }
      const AliVTrack* track;
      for (Int_t i=0; i<jet->GetNumberOfTracks(); i++) {
        track = static_cast<AliVTrack*>(jet->Track(i));
        z = track->Pt() / TMath::Abs(corrPt);
        fHistManager.FillTH3(histname, fCent, corrPt, z);
      }
      
      // (Centrality, pT, Nconst)
      if (type == kEMCal) {
        histname = TString::Format("%s/TriggerSimHistograms/hNConstVsPtEMCal", jets->GetArrayName().Data());
      }
      else if (type == kDCal) {
        histname = TString::Format("%s/TriggerSimHistograms/hNConstVsPtDCal", jets->GetArrayName().Data());
      }
      fHistManager.FillTH3(histname, fCent, corrPt, 1.*jet->GetNumberOfConstituents());
      
    } //jet loop
    
  }
}

void AliAnalysisTaskEmcalJetPerformance::FillMatchedJetHistograms()
{
  TString histname;
  AliJetContainer* jets = 0;
  const AliEmcalJet* matchedJet = nullptr;
  TIter nextJetColl(&fJetCollArray);
  while ((jets = static_cast<AliJetContainer*>(nextJetColl()))) {
    TString jetContName = jets->GetName();
    
    // Only loop over jets in the detector-level jet container
    if (jetContName.Contains("mcparticles")) {
      continue;
    }
    
    Double_t rhoVal = 0;
    if (jets->GetRhoParameter()) {
      rhoVal = jets->GetRhoVal();
    }
    
    for (auto jet : jets->accepted()) {
      
      // Get the matched jet, if it exists
      matchedJet = jet->MatchedJet();
      if (!matchedJet) {
        continue;
      }
      
      // compute jet acceptance type
      Double_t type = GetJetType(jet);
      if ( (type != kEMCal) && (type != kDCal) ) {
        continue;
      }
      
      Float_t detPt = GetJetPt(jet, rhoVal);
      Float_t truthPt = matchedJet->Pt();
      
      // Fill response matrix (centrality, pT-truth, pT-det)
      if (type == kEMCal) {
        histname = "MatchedJetHistograms/hResponseMatrixEMCal";
      }
      else if (type == kDCal) {
        histname = "MatchedJetHistograms/hResponseMatrixDCal";
      }
      fHistManager.FillTH3(histname, fCent, truthPt, detPt);
      
      // Fill JES shift (centrality, pT-truth, (pT-det - pT-truth) / pT-truth)
      if (type == kEMCal) {
        histname = "MatchedJetHistograms/hJESshiftEMCal";
      }
      else if (type == kDCal) {
        histname = "MatchedJetHistograms/hJESshiftDCal";
      }
      fHistManager.FillTH3(histname, fCent, truthPt, (detPt-truthPt)/truthPt );
      
      // Fill NEF of det-level matched jets (centrality, pT-truth, NEF)
      histname = "MatchedJetHistograms/hNEFVsPt";
      fHistManager.FillTH3(histname, fCent, truthPt, jet->NEF());

      // Fill z-leading (charged) of det-level matched jets (centrality, pT-truth, z-leading)
      histname = "MatchedJetHistograms/hZLeadingVsPt";
      TLorentzVector leadPart;
      jets->GetLeadingHadronMomentum(leadPart, jet);
      Double_t z = GetParallelFraction(leadPart.Vect(), jet);
      if (z == 1 || (z > 1 && z - 1 < 1e-3)) z = 0.999; // so that it will contribute to the bin <1
      fHistManager.FillTH3(histname, fCent, truthPt, z);
      
      // Fill matching distance (centrality, pT-truth, R)
      histname = "MatchedJetHistograms/hMatchingDistance";
      fHistManager.FillTH3(histname, fCent, truthPt, jet->ClosestJetDistance());
      
    } //jet loop
  }
}

/*
 * Compute the MC particle type of a given cluster contributor, using the MC particle container
 */
AliAnalysisTaskEmcalJetPerformance::ContributorType AliAnalysisTaskEmcalJetPerformance::GetContributorType(const AliVCluster* clus, const AliMCEvent* mcevent, Int_t label)
{
  ContributorType contributorType = kUndefined;

  AliAODMCParticle *part = fGeneratorLevel->GetMCParticleWithLabel(label);
  if (part) {
  
    TString histname = "ClusterHistogramsMC/hClusterRejectionReasonMC";
    UInt_t rejectionReason = 0;
    if (!fGeneratorLevel->AcceptMCParticle(part, rejectionReason)) {
      fHistManager.FillTH2(histname, fGeneratorLevel->GetRejectionReasonBitPosition(rejectionReason), clus->GetNonLinCorrEnergy());
      return contributorType;
    }

    if (part->GetGeneratorIndex() == 0) { // generator index in cocktail
      
      // select charged pions, protons, kaons, electrons, muons
      Int_t pdg = part->PdgCode();
      
      if (pdg == 22) { // gamma 22
        contributorType = kPhoton;
      }
      else if (TMath::Abs(pdg) == 211) { // pi+ 211 (abs value ensures both particles and antiparticles are included)
        contributorType = kChargedPion;
      }
      else if (pdg == 2212) { // proton 2212
        contributorType = kProton;
      }
      else if (pdg == -2212) {
        contributorType = kAntiProton;
      }
      else if (TMath::Abs(pdg) == 321) {  // K+ 321
        contributorType = kChargedKaon;
      }
      else if (pdg == 130) {  // K0L 130
        contributorType = kK0L;
      }
      else if (pdg == 2112) { // neutron 2112
        contributorType = kNeutron;
      }
      else if (pdg == -2112) {
        contributorType = kAntiNeutron;
      }
      else if (TMath::Abs(pdg) == 11) { // e- 11
        contributorType = kElectron;
      }
      else if (TMath::Abs(pdg) == 13) { // mu- 13
        contributorType = kMuon;
      }
      else {
        contributorType = kOther;
      }
    }
  }
  return contributorType;
}

Double_t AliAnalysisTaskEmcalJetPerformance::GetDeltaR(const AliTLorentzVector* part, Double_t etaRef, Double_t phiRef)
{
  Double_t deltaPhi = TMath::Abs(part->Phi_0_2pi() - phiRef);
  Double_t deltaEta = TMath::Abs(part->Eta() - etaRef);
  Double_t deltaR = TMath::Sqrt( deltaPhi*deltaPhi + deltaEta*deltaEta );
  return deltaR;
}

Double_t AliAnalysisTaskEmcalJetPerformance::GetJetType(const AliEmcalJet* jet)
{
  UInt_t jetType = jet->GetJetAcceptanceType();
  Double_t type = -1;
  if (jetType & AliEmcalJet::kEMCAL) {
    type = kEMCal;
  }
  else if (jetType & AliEmcalJet::kDCALonly) {
    type = kDCal;
  }
  
  return type;
}

Double_t AliAnalysisTaskEmcalJetPerformance::GetJetPt(const AliEmcalJet* jet, Double_t rho)
{
  Double_t pT = jet->Pt() - rho * jet->Area();
  return pT;
}

Bool_t AliAnalysisTaskEmcalJetPerformance::IsHadron(const ContributorType contributor)
{
  return (contributor == kChargedPion) || (contributor == kProton) || (contributor == kAntiProton) || (contributor == kChargedKaon) || (contributor == kK0L) || (contributor == kNeutron) || (contributor == kAntiNeutron);
}

AliAnalysisTaskEmcalJetPerformance* AliAnalysisTaskEmcalJetPerformance::AddTaskEmcalJetPerformance(
  const char *ntracks,
  const char *nclusters,
  const char *nGenLev,
  const Double_t minTrPt,
  const Double_t minClPt,
  const char *suffix)
{
  // Get the pointer to the existing analysis manager via the static access method.
  //==============================================================================
  AliAnalysisManager *mgr = AliAnalysisManager::GetAnalysisManager();
  if (!mgr)
  {
    ::Error("AddTaskEmcalJetPerformance", "No analysis manager to connect to.");
    return 0;
  }
  
  // Check the analysis type using the event handlers connected to the analysis manager.
  //==============================================================================
  AliVEventHandler* handler = mgr->GetInputEventHandler();
  if (!handler)
  {
    ::Error("AddTaskEmcalJetPerformance", "This task requires an input event handler");
    return 0;
  }
  
  enum EDataType_t {
    kUnknown,
    kESD,
    kAOD
  };
  
  EDataType_t dataType = kUnknown;
  
  if (handler->InheritsFrom("AliESDInputHandler")) {
    dataType = kESD;
  }
  else if (handler->InheritsFrom("AliAODInputHandler")) {
    dataType = kAOD;
  }
  
  //-------------------------------------------------------
  // Init the task and do settings
  //-------------------------------------------------------
  
  TString trackName(ntracks);
  TString clusName(nclusters);
  
  if (trackName == "usedefault") {
    if (dataType == kESD) {
      trackName = "Tracks";
    }
    else if (dataType == kAOD) {
      trackName = "tracks";
    }
    else {
      trackName = "";
    }
  }
  
  if (clusName == "usedefault") {
    if (dataType == kESD) {
      clusName = "CaloClusters";
    }
    else if (dataType == kAOD) {
      clusName = "caloClusters";
    }
    else {
      clusName = "";
    }
  }
  
  TString name("AliAnalysisTaskEmcalJetPerformance");
  if (!trackName.IsNull()) {
    name += "_";
    name += trackName;
  }
  if (!clusName.IsNull()) {
    name += "_";
    name += clusName;
  }
  if (strcmp(suffix,"") != 0) {
    name += "_";
    name += suffix;
  }
  
  // Configure jet performance task
  AliAnalysisTaskEmcalJetPerformance* task = new AliAnalysisTaskEmcalJetPerformance(name);
  
  // Create track and cluster containers with the standard cuts
  
  AliParticleContainer* partCont = 0;
  if (trackName == "mcparticles") {
    AliMCParticleContainer* mcpartCont = new AliMCParticleContainer(trackName);
    partCont = mcpartCont;
  }
  else if (trackName == "tracks" || trackName == "Tracks") {
    AliTrackContainer* trackCont = new AliTrackContainer(trackName);
    partCont = trackCont;
  }
  if (partCont) partCont->SetParticlePtCut(minTrPt);
  if (partCont) task->AdoptParticleContainer(partCont);
  
  // Add the generator-level container, if specified
  if (nGenLev && strcmp(nGenLev,"")!=0) {
    AliMCParticleContainer* mcpartCont = task->AddMCParticleContainer(nGenLev);
    mcpartCont->SelectPhysicalPrimaries(kTRUE);
    mcpartCont->SetParticlePtCut(0);
  }
  
  // Add the cluster container
  AliClusterContainer* clusCont = 0;
  if (!clusName.IsNull()) {
    clusCont = new AliClusterContainer(clusName);
    clusCont->SetClusECut(0.);
    clusCont->SetClusPtCut(0.);
  }
  if (clusCont) task->AdoptClusterContainer(clusCont);
  
  //-------------------------------------------------------
  // Final settings, pass to manager and set the containers
  //-------------------------------------------------------
  
  mgr->AddTask(task);
  
  // Create containers for input/output
  AliAnalysisDataContainer *cinput1  = mgr->GetCommonInputContainer()  ;
  TString contname(name);
  contname += "_histos";
  AliAnalysisDataContainer *coutput1 = mgr->CreateContainer(contname.Data(),
                                                            TList::Class(),AliAnalysisManager::kOutputContainer,
                                                            Form("%s", AliAnalysisManager::GetCommonFileName()));
  mgr->ConnectInput  (task, 0,  cinput1 );
  mgr->ConnectOutput (task, 1, coutput1 );
  
  return task;
}