PWGJE/EMCALJetTasks/UserTasks/AliAnalysisTaskV0sInJetsEmcal.h

   1 #ifndef AliAnalysisTaskV0sInJetsEmcal_cxx
   2 #define AliAnalysisTaskV0sInJetsEmcal_cxx
   3
   4 // task for analysis of V0s (K0S, (anti-)Lambda) in charged jets
   5 // fork of AliAnalysisTaskV0sInJets for the EMCal framework
   6 // Author: Vit Kucera (vit.kucera@cern.ch)
   7
   8 class TH1D;
   9 class TH2D;
  10 class THnSparse;
  11 class TRandom;
  12 class TClonesArray;
  13
  14 class AliAODv0;
  15 class AliAODVertex;
  16 class AliAODJet;
  17
  18 class AliJetContainer;
  19 class AliParticleContainer;
  20 class AliClusterContainer;
  21
  22 #include "AliAnalysisTaskEmcalJet.h"
  23 #include "THnSparse.h"
  24
  25 class AliAnalysisTaskV0sInJetsEmcal : public AliAnalysisTaskEmcalJet
  26 {
  27 public:
  28   AliAnalysisTaskV0sInJetsEmcal(); // Default constructor
  29   AliAnalysisTaskV0sInJetsEmcal(const char* name); // Constructor
  30   virtual ~AliAnalysisTaskV0sInJetsEmcal(); // Destructor
  31   void UserCreateOutputObjects();
  32   void Terminate(Option_t*) {}
  33
  34   void SetIsPbPb(Bool_t val = 1) {fbIsPbPb = val;}
  35   void SetCuts(Double_t z = 10, Double_t r = 1, Double_t cL = 0, Double_t cH = 80) {fdCutVertexZ = z; fdCutVertexR2 = r * r; fdCutCentLow = cL; fdCutCentHigh = cH;}
  36   void SetPtJetMin(Double_t ptMin = 0) {fdCutPtJetMin = ptMin;}
  37   void SetPtTrackMin(Double_t ptMin = 0) {fdCutPtTrackMin = ptMin;}
  38   void SetJetRadius(Double_t r = 0.4) {fdRadiusJet = r;}
  39   void SetJetSelection(Bool_t select = kTRUE) {fbJetSelection = select;}
  40   void SetMCAnalysis(Bool_t select = kTRUE) {fbMCAnalysis = select;}
  41   void FillQAHistogramV0(AliAODVertex* vtx, const AliAODv0* vZero, Int_t iIndexHisto, Bool_t IsCandK0s, Bool_t IsCandLambda, Bool_t IsInPeakK0s, Bool_t IsInPeakLambda);
  42   void FillCandidates(Double_t mK, Double_t mL, Double_t mAL, Bool_t isK, Bool_t isL, Bool_t isAL, Int_t iCut, Int_t iCent);
  43   Bool_t IsParticleInCone(const AliVParticle* part1, const AliVParticle* part2, Double_t dRMax) const; // decides whether a particle is inside a jet cone
  44   Bool_t OverlapWithJets(const TClonesArray* array, const AliVParticle* cone, Double_t dDistance) const; // decides whether a cone overlaps with other jets
  45   AliAODJet* GetRandomCone(const TClonesArray* array, Double_t dEtaConeMax, Double_t dDistance) const; // generate a random cone which does not overlap with selected jets
  46   AliEmcalJet* GetMedianCluster(AliJetContainer* cont, Double_t dEtaConeMax) const; // get median kt cluster
  47   Double_t AreaCircSegment(Double_t dRadius, Double_t dDistance) const; // area of circular segment
  48
  49   void SetCutDCAToPrimVtxMin(Double_t val = 0.1) {fdCutDCAToPrimVtxMin = val;}
  50   void SetCutDCADaughtersMax(Double_t val = 1.) {fdCutDCADaughtersMax = val;}
  51   void SetCutNSigmadEdxMax(Double_t val = 3.) {fdCutNSigmadEdxMax = val;}
  52   void SetCutCPAMin(Double_t val = 0.998) {fdCutCPAMin = val;}
  53   void SetCutNTauMax(Double_t val = 5.) {fdCutNTauMax = val;}
  54
  55   Bool_t IsSelectedForJets(AliAODEvent* fAOD, Double_t dVtxZCut, Double_t dVtxR2Cut, Double_t dCentCutLo, Double_t dCentCutUp, Bool_t bCutDeltaZ = kFALSE, Double_t dDeltaZMax = 100.);
  56   Int_t GetCentralityBinIndex(Double_t centrality);
  57   Int_t GetCentralityBinEdge(Int_t index);
  58   TString GetCentBinLabel(Int_t index);
  59   Double_t MassPeakSigmaOld(Double_t pt, Int_t particle);
  60   static bool CompareClusters(const std::vector<Double_t> cluster1, const std::vector<Double_t> cluster2); // compare clusters by their pt/area
  61
  62   // upper edges of centrality bins
  63   static const Int_t fgkiNBinsCent = 1; // number of centrality bins
  64   static const Int_t fgkiCentBinRanges[fgkiNBinsCent]; // upper edges of centrality bins
  65   // axis: pT of V0
  66   static const Double_t fgkdBinsPtV0[2]; // [GeV/c] minimum and maximum or desired binning of the axis (intended for the rebinned axis)
  67   static const Int_t fgkiNBinsPtV0; // number of bins (intended for the rebinned axis)
  68   static const Int_t fgkiNBinsPtV0Init; // initial number of bins (uniform binning)
  69   // axis: pT of jets
  70   static const Double_t fgkdBinsPtJet[2]; // [GeV/c] minimum and maximum or desired binning of the axis (intended for the rebinned axis)
  71   static const Int_t fgkiNBinsPtJet; // number of bins (intended for the rebinned axis)
  72   static const Int_t fgkiNBinsPtJetInit; // initial number of bins (uniform binning)
  73   // axis: K0S invariant mass
  74   static const Int_t fgkiNBinsMassK0s; // number of bins (uniform binning)
  75   static const Double_t fgkdMassK0sMin; // minimum
  76   static const Double_t fgkdMassK0sMax; // maximum
  77   // axis: Lambda invariant mass
  78   static const Int_t fgkiNBinsMassLambda; // number of bins (uniform binning)
  79   static const Double_t fgkdMassLambdaMin; // minimum
  80   static const Double_t fgkdMassLambdaMax; // maximum
  81
  82 protected:
  83   void ExecOnce();
  84   Bool_t FillHistograms();
  85   Bool_t Run();
  86
  87 private:
  88   AliAODEvent* fAODIn; //! Input AOD event
  89   AliAODEvent* fAODOut; //! Output AOD event
  90   TList* fOutputListStd; //! Output list for standard analysis results
  91   TList* fOutputListQA; //! Output list for quality assurance
  92   TList* fOutputListCuts; //! Output list for checking cuts
  93   TList* fOutputListMC; //! Output list for MC related results
  94   Bool_t fbIsPbPb; // switch Pb-Pb / p-p collisions
  95
  96   // V0 selection
  97   Double_t fdCutDCAToPrimVtxMin; // [cm] min DCA of daughters to the prim vtx
  98   Double_t fdCutDCADaughtersMax; // [sigma of TPC tracking] max DCA between daughters
  99   Double_t fdCutNSigmadEdxMax; // [sigma dE/dx] max difference between measured and expected signal of dE/dx in the TPC
 100   Double_t fdCutCPAMin; // min cosine of the pointing angle
 101   Double_t fdCutNTauMax; // [tau] max proper lifetime in multiples of the mean lifetime
 102   // jet selection
 103   Double_t fdCutPtJetMin; // [GeV/c] minimum jet pt
 104   Double_t fdCutPtTrackMin; // [GeV/c] minimum pt of leading jet-track
 105   Double_t fdRadiusJet; // R of jet finder used for finding V0s in the jet cone
 106   Bool_t fbJetSelection; // switch for the analysis of V0s in jets
 107
 108   Bool_t fbMCAnalysis; // switch for the analysis of simulated data
 109   TRandom* fRandom; //! random-number generator
 110
 111   // EMCal containers
 112   AliJetContainer* fJetsCont; //! Signal Jets
 113   AliJetContainer* fJetsBgCont; //! Background Jets
 114 //  AliParticleContainer* fTracksCont; //! Tracks
 115 //  AliClusterContainer* fCaloClustersCont; //! Clusters
 116
 117   // event cuts
 118   Double_t fdCutVertexZ; // [cm] maximum |z| of primary vertex
 119   Double_t fdCutVertexR2; // [cm^2] maximum r^2 of primary vertex
 120   Double_t fdCutCentLow; // [%] minimum centrality
 121   Double_t fdCutCentHigh; // [%] maximum centrality
 122   Double_t fdCentrality; //!
 123
 124   // event histograms
 125   TH1D* fh1EventCounterCut; //! number of events for different selection steps
 126   TH1D* fh1EventCounterCutCent[fgkiNBinsCent]; //! number of events for different selection steps and different centralities
 127   TH1D* fh1EventCent; //! number of events for different centralities
 128   TH1D* fh1EventCent2; //! number of events for different centralities
 129   TH1D* fh1EventCent2Jets; //! number of events for different centralities
 130   TH1D* fh1EventCent2NoJets; //! number of events for different centralities
 131   TH2D* fh2EventCentTracks; //! number of tracks vs centrality
 132   TH1D* fh1VtxZ[fgkiNBinsCent]; //! z coordinate of the primary vertex
 133   TH2D* fh2VtxXY[fgkiNBinsCent]; //! xy coordinates of the primary vertex
 134   TH1D* fh1V0CandPerEvent; //! number of V0 cand per event
 135
 136   // jet histograms
 137   TH1D* fh1PtJet[fgkiNBinsCent]; //! pt spectra of jets for normalisation of in-jet V0 spectra
 138   TH1D* fh1EtaJet[fgkiNBinsCent]; //! jet eta
 139   TH2D* fh2EtaPtJet[fgkiNBinsCent]; //! jet eta-pT
 140   TH1D* fh1PhiJet[fgkiNBinsCent]; //! jet phi
 141   TH1D* fh1PtJetTrackLeading[fgkiNBinsCent]; //! pt spectra of leading jet tracks
 142   TH1D* fh1NJetPerEvent[fgkiNBinsCent]; //! number of jets per event
 143   TH1D* fh1NRndConeCent; //! number of generated random cones in centrality bins
 144   TH2D* fh2EtaPhiRndCone[fgkiNBinsCent]; //! random cone eta-pT
 145   TH1D* fh1NMedConeCent; //! number of found median-cluster cones in centrality bins
 146   TH2D* fh2EtaPhiMedCone[fgkiNBinsCent]; //! median-cluster cone eta-phi
 147   TH1D* fh1AreaExcluded; //! area of excluded cones for outside-cones V0s
 148
 149   static const Int_t fgkiNCategV0 = 17; // number of V0 selection steps
 150
 151   // QA histograms
 152   static const Int_t fgkiNQAIndeces = 2; // 0 - before cuts, 1 - after cuts
 153   TH1D* fh1QAV0Status[fgkiNQAIndeces]; //! online vs offline reconstructed V0 candidates
 154   TH1D* fh1QAV0TPCRefit[fgkiNQAIndeces]; //! TPC refit on vs off
 155   TH1D* fh1QAV0TPCRows[fgkiNQAIndeces]; //! crossed TPC pad rows
 156   TH1D* fh1QAV0TPCFindable[fgkiNQAIndeces]; //! findable clusters
 157   TH1D* fh1QAV0TPCRowsFind[fgkiNQAIndeces]; //! ratio rows/clusters
 158   TH1D* fh1QAV0Eta[fgkiNQAIndeces]; //! pseudorapidity
 159   TH2D* fh2QAV0EtaRows[fgkiNQAIndeces]; //! pseudorapidity vs TPC rows
 160   TH2D* fh2QAV0PtRows[fgkiNQAIndeces]; //! pt vs TPC rows
 161   TH2D* fh2QAV0PhiRows[fgkiNQAIndeces]; //! azimuth vs TPC rows
 162   TH2D* fh2QAV0NClRows[fgkiNQAIndeces]; //! clusters vs TPC rows
 163   TH2D* fh2QAV0EtaNCl[fgkiNQAIndeces]; //! pseudorapidity vs clusters
 164
 165   // K0s
 166   TH1D* fh1V0CounterCentK0s[fgkiNBinsCent]; //! number of K0s candidates after various cuts
 167   TH1D* fh1V0InvMassK0sAll[fgkiNCategV0]; //! V0 invariant mass, selection steps
 168   TH2D* fh2QAV0EtaPtK0sPeak[fgkiNQAIndeces]; //! daughters pseudorapidity vs V0 pt, in mass peak
 169   TH2D* fh2QAV0EtaEtaK0s[fgkiNQAIndeces]; //! daughters pseudorapidity vs pseudorapidity
 170   TH2D* fh2QAV0PhiPhiK0s[fgkiNQAIndeces]; //! daughters azimuth vs azimuth
 171   TH1D* fh1QAV0RapK0s[fgkiNQAIndeces]; //! V0 rapidity
 172   TH2D* fh2QAV0PtPtK0sPeak[fgkiNQAIndeces]; //! daughters pt vs pt, in mass peak
 173   TH2D* fh2ArmPodK0s[fgkiNQAIndeces]; //! Armenteros-Podolanski
 174   TH1D* fh1V0CandPerEventCentK0s[fgkiNBinsCent]; //! number of K0s candidates per event, in centrality bins
 175   TH1D* fh1V0InvMassK0sCent[fgkiNBinsCent]; //! V0 invariant mass, in centrality bins
 176   // K0s Inclusive
 177   THnSparse* fhnV0InclusiveK0s[fgkiNBinsCent]; //! V0 inv mass vs pt before and after cuts, in centrality bins
 178   // K0s Cones
 179   THnSparse* fhnV0InJetK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt vs jet pt, in centrality bins
 180   THnSparse* fhnV0InPerpK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt vs jet pt, in centrality bins
 181   THnSparse* fhnV0InRndK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt vs jet pt, in centrality bins
 182   THnSparse* fhnV0InMedK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt vs jet pt, in centrality bins
 183   THnSparse* fhnV0OutJetK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt, in centrality bins
 184   THnSparse* fhnV0NoJetK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt, in centrality bins
 185
 186   TH2D* fh2V0PtJetAngleK0s[fgkiNBinsCent]; //! pt jet vs angle V0-jet, in centrality bins
 187   TH1D* fh1DCAInK0s[fgkiNBinsCent]; //! DCA between daughters of V0 inside jets, in centrality bins
 188   TH1D* fh1DCAOutK0s[fgkiNBinsCent]; //! DCA between daughters of V0 outside jets, in centrality bins
 189   // MC histograms
 190   // inclusive
 191   TH1D* fh1V0K0sPtMCGen[fgkiNBinsCent]; //! pt spectrum of all generated K0s in event
 192   TH2D* fh2V0K0sPtMassMCRec[fgkiNBinsCent]; //! pt-mass spectrum of successfully reconstructed K0s in event
 193   TH1D* fh1V0K0sPtMCRecFalse[fgkiNBinsCent]; //! pt spectrum of false reconstructed K0s in event
 194   // inclusive eta-pT efficiency
 195   TH2D* fh2V0K0sEtaPtMCGen[fgkiNBinsCent]; //! eta-pt spectrum of all generated K0s in event
 196   THnSparse* fh3V0K0sEtaPtMassMCRec[fgkiNBinsCent]; //! eta-pt-mass spectrum of successfully reconstructed K0s in event
 197   // MC daughter eta inclusive
 198 //  THnSparse* fhnV0K0sInclDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated
 199   THnSparse* fhnV0K0sInclDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed
 200   // in jets
 201   TH2D* fh2V0K0sInJetPtMCGen[fgkiNBinsCent]; //! pt spectrum of generated K0s in jet
 202   THnSparse* fh3V0K0sInJetPtMassMCRec[fgkiNBinsCent]; //! mass-pt spectrum of successfully reconstructed K0s in jet
 203   // in jets eta-pT efficiency
 204   THnSparse* fh3V0K0sInJetEtaPtMCGen[fgkiNBinsCent]; //! eta-pt spectrum of generated K0s in jet
 205   THnSparse* fh4V0K0sInJetEtaPtMassMCRec[fgkiNBinsCent]; //! mass-eta-pt spectrum of successfully reconstructed K0s in jet
 206   // MC daughter eta in JC
 207 //  THnSparse* fhnV0K0sInJetsDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated
 208   THnSparse* fhnV0K0sInJetsDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed
 209
 210   // resolution
 211   TH2D* fh2V0K0sMCResolMPt[fgkiNBinsCent]; //! K0s mass resolution vs pt
 212   TH2D* fh2V0K0sMCPtGenPtRec[fgkiNBinsCent]; //! K0s generated pt vs reconstructed pt
 213
 214   // Lambda
 215   TH1D* fh1V0CounterCentLambda[fgkiNBinsCent]; //! number of Lambda candidates after various cuts
 216   TH1D* fh1V0InvMassLambdaAll[fgkiNCategV0]; //!
 217   TH2D* fh2QAV0EtaPtLambdaPeak[fgkiNQAIndeces]; //!
 218   TH2D* fh2QAV0EtaEtaLambda[fgkiNQAIndeces]; //!
 219   TH2D* fh2QAV0PhiPhiLambda[fgkiNQAIndeces]; //!
 220   TH1D* fh1QAV0RapLambda[fgkiNQAIndeces]; //!
 221   TH2D* fh2QAV0PtPtLambdaPeak[fgkiNQAIndeces]; //!
 222   TH2D* fh2ArmPodLambda[fgkiNQAIndeces]; //!
 223   TH1D* fh1V0CandPerEventCentLambda[fgkiNBinsCent]; //!
 224   TH1D* fh1V0InvMassLambdaCent[fgkiNBinsCent]; //!
 225   // Lambda Inclusive
 226   THnSparse* fhnV0InclusiveLambda[fgkiNBinsCent]; //!
 227   // Lambda Cones
 228   THnSparse* fhnV0InJetLambda[fgkiNBinsCent]; //!
 229   THnSparse* fhnV0InPerpLambda[fgkiNBinsCent]; //!
 230   THnSparse* fhnV0InRndLambda[fgkiNBinsCent]; //!
 231   THnSparse* fhnV0InMedLambda[fgkiNBinsCent]; //!
 232   THnSparse* fhnV0OutJetLambda[fgkiNBinsCent]; //!
 233   THnSparse* fhnV0NoJetLambda[fgkiNBinsCent]; //!
 234
 235   TH2D* fh2V0PtJetAngleLambda[fgkiNBinsCent]; //!
 236   TH1D* fh1DCAInLambda[fgkiNBinsCent]; //!
 237   TH1D* fh1DCAOutLambda[fgkiNBinsCent]; //!
 238   // MC histograms
 239   // inclusive
 240   TH1D* fh1V0LambdaPtMCGen[fgkiNBinsCent]; //!
 241   TH2D* fh2V0LambdaPtMassMCRec[fgkiNBinsCent]; //!
 242   TH1D* fh1V0LambdaPtMCRecFalse[fgkiNBinsCent]; //!
 243   // inclusive eta-pT efficiency
 244   TH2D* fh2V0LambdaEtaPtMCGen[fgkiNBinsCent]; //!
 245   THnSparse* fh3V0LambdaEtaPtMassMCRec[fgkiNBinsCent]; //!
 246   // MC daughter eta inclusive
 247 //  THnSparse* fhnV0LambdaInclDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated
 248   THnSparse* fhnV0LambdaInclDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed
 249   // in jets
 250   TH2D* fh2V0LambdaInJetPtMCGen[fgkiNBinsCent]; //!
 251   THnSparse* fh3V0LambdaInJetPtMassMCRec[fgkiNBinsCent]; //!
 252   // in jets eta-pT efficiency
 253   THnSparse* fh3V0LambdaInJetEtaPtMCGen[fgkiNBinsCent]; //!
 254   THnSparse* fh4V0LambdaInJetEtaPtMassMCRec[fgkiNBinsCent]; //!
 255   // MC daughter eta in JC
 256 //  THnSparse* fhnV0LambdaInJetsDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated
 257   THnSparse* fhnV0LambdaInJetsDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed
 258
 259   // resolution
 260   TH2D* fh2V0LambdaMCResolMPt[fgkiNBinsCent]; //!
 261   TH2D* fh2V0LambdaMCPtGenPtRec[fgkiNBinsCent]; //!
 262   // feed-down
 263   THnSparseD* fhnV0LambdaInclMCFD[fgkiNBinsCent]; //!
 264   THnSparseD* fhnV0LambdaInJetsMCFD[fgkiNBinsCent]; //!
 265   THnSparseD* fhnV0LambdaBulkMCFD[fgkiNBinsCent]; //!
 266   TH1D* fh1V0XiPtMCGen[fgkiNBinsCent]; //!
 267
 268   // ALambda
 269   TH1D* fh1V0CounterCentALambda[fgkiNBinsCent]; //! number of ALambda candidates after various cuts
 270   TH1D* fh1V0InvMassALambdaAll[fgkiNCategV0]; //!
 271   TH2D* fh2QAV0EtaPtALambdaPeak[fgkiNQAIndeces]; //!
 272   TH2D* fh2QAV0EtaEtaALambda[fgkiNQAIndeces]; //!
 273   TH2D* fh2QAV0PhiPhiALambda[fgkiNQAIndeces]; //!
 274   TH1D* fh1QAV0RapALambda[fgkiNQAIndeces]; //!
 275   TH2D* fh2QAV0PtPtALambdaPeak[fgkiNQAIndeces]; //!
 276   TH2D* fh2ArmPodALambda[fgkiNQAIndeces]; //!
 277   TH1D* fh1V0CandPerEventCentALambda[fgkiNBinsCent]; //!
 278   TH1D* fh1V0InvMassALambdaCent[fgkiNBinsCent]; //!
 279   TH1D* fh1V0ALambdaPt[fgkiNBinsCent]; //!
 280   // ALambda Inclusive
 281   THnSparse* fhnV0InclusiveALambda[fgkiNBinsCent]; //!
 282   // ALambda Cones
 283   THnSparse* fhnV0InJetALambda[fgkiNBinsCent]; //!
 284   THnSparse* fhnV0InPerpALambda[fgkiNBinsCent]; //!
 285   THnSparse* fhnV0InRndALambda[fgkiNBinsCent]; //!
 286   THnSparse* fhnV0InMedALambda[fgkiNBinsCent]; //!
 287   THnSparse* fhnV0OutJetALambda[fgkiNBinsCent]; //!
 288   THnSparse* fhnV0NoJetALambda[fgkiNBinsCent]; //!
 289
 290   TH2D* fh2V0PtJetAngleALambda[fgkiNBinsCent]; //!
 291   TH1D* fh1DCAInALambda[fgkiNBinsCent]; //!
 292   TH1D* fh1DCAOutALambda[fgkiNBinsCent]; //!
 293   // MC histograms
 294   // inclusive
 295   TH1D* fh1V0ALambdaPtMCGen[fgkiNBinsCent]; //!
 296   TH1D* fh1V0ALambdaPtMCRec[fgkiNBinsCent]; //!
 297   TH2D* fh2V0ALambdaPtMassMCRec[fgkiNBinsCent]; //!
 298   TH1D* fh1V0ALambdaPtMCRecFalse[fgkiNBinsCent]; //!
 299   // inclusive eta-pT efficiency
 300   TH2D* fh2V0ALambdaEtaPtMCGen[fgkiNBinsCent]; //!
 301   THnSparse* fh3V0ALambdaEtaPtMassMCRec[fgkiNBinsCent]; //!
 302   // MC daughter eta inclusive
 303 //  THnSparse* fhnV0ALambdaInclDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated
 304   THnSparse* fhnV0ALambdaInclDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed
 305   // in jets
 306   TH2D* fh2V0ALambdaInJetPtMCGen[fgkiNBinsCent]; //!
 307   TH2D* fh2V0ALambdaInJetPtMCRec[fgkiNBinsCent]; //!
 308   THnSparse* fh3V0ALambdaInJetPtMassMCRec[fgkiNBinsCent]; //!
 309   // in jets eta-pT efficiency
 310   THnSparse* fh3V0ALambdaInJetEtaPtMCGen[fgkiNBinsCent]; //!
 311   THnSparse* fh4V0ALambdaInJetEtaPtMassMCRec[fgkiNBinsCent]; //!
 312   // MC daughter eta in JC
 313 //  THnSparse* fhnV0ALambdaInJetsDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated
 314   THnSparse* fhnV0ALambdaInJetsDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed
 315
 316   // resolution
 317   TH2D* fh2V0ALambdaMCResolMPt[fgkiNBinsCent]; //!
 318   TH2D* fh2V0ALambdaMCPtGenPtRec[fgkiNBinsCent]; //!
 319   // feed-down
 320   THnSparseD* fhnV0ALambdaInclMCFD[fgkiNBinsCent]; //!
 321   THnSparseD* fhnV0ALambdaInJetsMCFD[fgkiNBinsCent]; //!
 322   THnSparseD* fhnV0ALambdaBulkMCFD[fgkiNBinsCent]; //!
 323   TH1D* fh1V0AXiPtMCGen[fgkiNBinsCent]; //!
 324
 325   TH1D* fh1QAV0Pt[fgkiNQAIndeces]; //! pt
 326   TH1D* fh1QAV0Charge[fgkiNQAIndeces]; //! charge
 327   TH1D* fh1QAV0DCAVtx[fgkiNQAIndeces]; //! DCA of daughters to prim vtx
 328   TH1D* fh1QAV0DCAV0[fgkiNQAIndeces]; //! DCA between daughters
 329   TH1D* fh1QAV0Cos[fgkiNQAIndeces]; //! cosine of pointing angle (CPA)
 330   TH1D* fh1QAV0R[fgkiNQAIndeces]; //! radial distance between prim vtx and decay vertex
 331   TH1D* fh1QACTau2D[fgkiNQAIndeces]; //! lifetime calculated in xy
 332   TH1D* fh1QACTau3D[fgkiNQAIndeces]; //! lifetime calculated in xyz
 333   TH2D* fh2ArmPod[fgkiNQAIndeces]; //! Armenteros-Podolanski
 334   TH2D* fh2CCK0s; //! K0s candidates in Lambda peak
 335   TH2D* fh2CCLambda; //! Lambda candidates in K0s peak
 336   THnSparse* fh3CCMassCorrelBoth; //! mass correlation of candidates
 337   THnSparse* fh3CCMassCorrelKNotL; //! mass correlation of candidates
 338   THnSparse* fh3CCMassCorrelLNotK; //! mass correlation of candidates
 339
 340   // Cut tuning
 341   // crossed/findable, daughter pt, dca, cpa, r, pseudorapidity, y, decay length, PID sigma
 342   /*
 343   TH2D* fh2CutTPCRowsK0s[fgkiNQAIndeces]; //! inv mass vs TPC rows
 344   TH2D* fh2CutTPCRowsLambda[fgkiNQAIndeces]; //!
 345   TH2D* fh2CutPtPosK0s[fgkiNQAIndeces]; //! inv mass vs pt of positive daughter
 346   TH2D* fh2CutPtNegK0s[fgkiNQAIndeces]; //! inv mass vs pt of negative daughter
 347   TH2D* fh2CutPtPosLambda[fgkiNQAIndeces]; //!
 348   TH2D* fh2CutPtNegLambda[fgkiNQAIndeces]; //!
 349   TH2D* fh2CutDCAVtx[fgkiNQAIndeces]; //! inv mass vs DCA of daughters to prim vtx
 350   TH2D* fh2CutDCAV0[fgkiNQAIndeces]; //! inv mass vs DCA between daughters
 351   TH2D* fh2CutCos[fgkiNQAIndeces]; //! inv mass vs CPA
 352   TH2D* fh2CutR[fgkiNQAIndeces]; //! inv mass vs R
 353   TH2D* fh2CutEtaK0s[fgkiNQAIndeces]; //! inv mass vs pseudorapidity
 354   TH2D* fh2CutEtaLambda[fgkiNQAIndeces]; //!
 355   TH2D* fh2CutRapK0s[fgkiNQAIndeces]; //! inv mass vs rapidity
 356   TH2D* fh2CutRapLambda[fgkiNQAIndeces]; //!
 357   TH2D* fh2CutCTauK0s[fgkiNQAIndeces]; //! inv mass vs lifetime
 358   TH2D* fh2CutCTauLambda[fgkiNQAIndeces]; //!
 359   TH2D* fh2CutPIDPosK0s[fgkiNQAIndeces]; //! inv mass vs number of dE/dx sigmas for positive daughter
 360   TH2D* fh2CutPIDNegK0s[fgkiNQAIndeces]; //! inv mass vs number of dE/dx sigmas for negative daughter
 361   TH2D* fh2CutPIDPosLambda[fgkiNQAIndeces]; //!
 362   TH2D* fh2CutPIDNegLambda[fgkiNQAIndeces]; //!
 363
 364   TH2D* fh2Tau3DVs2D[fgkiNQAIndeces]; //! pt vs ratio 3D lifetime / 2D lifetime
 365   */
 366
 367   AliAnalysisTaskV0sInJetsEmcal(const AliAnalysisTaskV0sInJetsEmcal&); // not implemented
 368   AliAnalysisTaskV0sInJetsEmcal& operator=(const AliAnalysisTaskV0sInJetsEmcal&); // not implemented
 369
 370   ClassDef(AliAnalysisTaskV0sInJetsEmcal, 4) // example of analysis
 371 };
 372
 373 #endif