PWGJE/StrangenessInJets/AliAnalysisTaskV0sInJets.h

   1 #ifndef AliAnalysisTaskV0sInJets_cxx
   2 #define AliAnalysisTaskV0sInJets_cxx
   3
   4 // task for analysis of V0s (K0S, (anti-)Lambda) in charged jets
   5 // Author: Vit Kucera (vit.kucera@cern.ch)
   6
   7 class TH1D;
   8 class TH2D;
   9 class THnSparse;
  10 class TRandom;
  11 class TClonesArray;
  12
  13 class AliAODv0;
  14 class AliAODVertex;
  15 class AliAODJet;
  16
  17 #include "AliAnalysisTaskSE.h"
  18 #include "THnSparse.h"
  19 //#include "AuxFunctions.h"
  20
  21 class AliAnalysisTaskV0sInJets : public AliAnalysisTaskSE
  22 {
  23 public:
  24   AliAnalysisTaskV0sInJets(); // Default constructor
  25   AliAnalysisTaskV0sInJets(const char* name); // Constructor
  26   virtual ~AliAnalysisTaskV0sInJets(); // Destructor
  27   virtual void UserCreateOutputObjects();
  28   virtual void UserExec(Option_t* option);
  29   virtual void Terminate(Option_t*) {}
  30
  31   void SetTypeAOD(Int_t type = 1) {fiAODAnalysis = type;}
  32   void SetIsPbPb(Bool_t val = 1) {fbIsPbPb = val;}
  33   void SetJetBranchName(char* line) {fsJetBranchName = line;}
  34   void SetJetBgBranchName(char* line) {fsJetBgBranchName = line;}
  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 SetJetRadiusBg(Double_t r = 0.4) {fdRadiusJetBg = r;}
  40   void SetJetSelection(Bool_t select = kTRUE) {fbJetSelection = select;}
  41   void SetMCAnalysis(Bool_t select = kTRUE) {fbMCAnalysis = select;}
  42 //  void SetTreeOutput(Bool_t select = kTRUE){fbTreeOutput = select;}
  43   void FillQAHistogramV0(AliAODVertex* vtx, const AliAODv0* vZero, Int_t iIndexHisto, Bool_t IsCandK0s, Bool_t IsCandLambda, Bool_t IsInPeakK0s, Bool_t IsInPeakLambda);
  44 //  virtual Double_t MassPeakSigma(Double_t pt, Int_t particle);
  45 //  virtual Double_t MassPeakSigma(Int_t iCent, Double_t pt, Int_t particle);
  46   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);
  47   Bool_t IsParticleInCone(const AliVParticle* part1, const AliVParticle* part2, Double_t dRMax) const; // decides whether a particle is inside a jet cone
  48   Bool_t OverlapWithJets(const TClonesArray* array, const AliVParticle* cone, Double_t dDistance) const; // decides whether a cone overlaps with other jets
  49   AliAODJet* GetRandomCone(const TClonesArray* array, Double_t dEtaConeMax, Double_t dDistance) const; // generate a random cone which does not overlap with selected jets
  50   AliAODJet* GetMedianCluster(const TClonesArray* array, Double_t dEtaConeMax) const; // get median kt cluster
  51   Double_t AreaCircSegment(Double_t dRadius, Double_t dDistance) const; // area of circular segment
  52
  53   void SetCutDCAToPrimVtxMin(Double_t val = 0.1) {fdCutDCAToPrimVtxMin = val;}
  54   void SetCutDCADaughtersMax(Double_t val = 1.) {fdCutDCADaughtersMax = val;}
  55   void SetCutNSigmadEdxMax(Double_t val = 3.) {fdCutNSigmadEdxMax = val;}
  56   void SetCutCPAMin(Double_t val = 0.998) {fdCutCPAMin = val;}
  57   void SetCutNTauMax(Double_t val = 5.) {fdCutNTauMax = val;}
  58
  59   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.);
  60   Int_t GetCentralityBinIndex(Double_t centrality);
  61   Int_t GetCentralityBinEdge(Int_t index);
  62   TString GetCentBinLabel(Int_t index);
  63   Double_t MassPeakSigmaOld(Double_t pt, Int_t particle);
  64   static bool CompareClusters(const std::vector<Double_t> cluster1, const std::vector<Double_t> cluster2); // compare clusters by their pt/area
  65
  66   // upper edges of centrality bins
  67   static const Int_t fgkiNBinsCent = 1; // number of centrality bins
  68   static const Int_t fgkiCentBinRanges[fgkiNBinsCent]; // upper edges of centrality bins
  69   // axis: pT of V0
  70   static const Double_t fgkdBinsPtV0[2]; // [GeV/c] minimum and maximum or desired binning of the axis (intended for the rebinned axis)
  71   static const Int_t fgkiNBinsPtV0; // number of bins (intended for the rebinned axis)
  72   static const Int_t fgkiNBinsPtV0Init; // initial number of bins (uniform binning)
  73   // axis: pT of jets
  74   static const Double_t fgkdBinsPtJet[2]; // [GeV/c] minimum and maximum or desired binning of the axis (intended for the rebinned axis)
  75   static const Int_t fgkiNBinsPtJet; // number of bins (intended for the rebinned axis)
  76   static const Int_t fgkiNBinsPtJetInit; // initial number of bins (uniform binning)
  77   // axis: K0S invariant mass
  78   static const Int_t fgkiNBinsMassK0s; // number of bins (uniform binning)
  79   static const Double_t fgkdMassK0sMin; // minimum
  80   static const Double_t fgkdMassK0sMax; // maximum
  81   // axis: Lambda invariant mass
  82   static const Int_t fgkiNBinsMassLambda; // number of bins (uniform binning)
  83   static const Double_t fgkdMassLambdaMin; // minimum
  84   static const Double_t fgkdMassLambdaMax; // maximum
  85
  86 private:
  87   AliAODEvent* fAODIn; //! Input AOD event
  88   AliAODEvent* fAODOut; //! Output AOD event
  89   TList* fOutputListStd; //! Output list for standard analysis results
  90   TList* fOutputListQA; //! Output list for quality assurance
  91   TList* fOutputListCuts; //! Output list for checking cuts
  92   TList* fOutputListMC; //! Output list for MC related results
  93 //  TTree* ftreeOut; //! output tree
  94
  95   Int_t fiAODAnalysis; // switch for input AOD/ESD
  96   Bool_t fbIsPbPb; // switch Pb-Pb / p-p collisions
  97
  98   // V0 selection
  99   Double_t fdCutDCAToPrimVtxMin; // [cm] min DCA of daughters to the prim vtx
 100   Double_t fdCutDCADaughtersMax; // [sigma of TPC tracking] max DCA between daughters
 101   Double_t fdCutNSigmadEdxMax; // [sigma dE/dx] max difference between measured and expected signal of dE/dx in the TPC
 102   Double_t fdCutCPAMin; // min cosine of the pointing angle
 103   Double_t fdCutNTauMax; // [tau] max proper lifetime in multiples of the mean lifetime
 104   // jet selection
 105   TString fsJetBranchName; // name of the branch with jets
 106   TString fsJetBgBranchName; // name of the branch with kt clusters used for the rho calculation
 107   Double_t fdCutPtJetMin; // [GeV/c] minimum jet pt
 108   Double_t fdCutPtTrackMin; // [GeV/c] minimum pt of leading jet-track
 109   Double_t fdRadiusJet; // R of jet finder used for finding V0s in the jet cone
 110   Double_t fdRadiusJetBg; // R of kt jet finder used for reconstruction of bg clusters
 111   Bool_t fbJetSelection; // switch for the analysis of V0s in jets
 112
 113   Bool_t fbMCAnalysis; // switch for the analysis of simulated data
 114 //  Bool_t fbTreeOutput; // switch for the output tree
 115   TRandom* fRandom; //! random-number generator
 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   /*
 123   // output branches
 124   TClonesArray* fBranchV0Rec; //! output branch for reconstructed V0s
 125   TClonesArray* fBranchV0Gen; //! output branch for generated V0s
 126   TClonesArray* fBranchJet; //! output branch for selected jets
 127   AliEventInfoObject* fEventInfo; //! class to store info about events
 128   */
 129   Double_t fdCentrality; //!
 130
 131   // event histograms
 132   TH1D* fh1EventCounterCut; //! number of events for different selection steps
 133   TH1D* fh1EventCounterCutCent[fgkiNBinsCent]; //! number of events for different selection steps and different centralities
 134   TH1D* fh1EventCent; //! number of events for different centralities
 135   TH1D* fh1EventCent2; //! number of events for different centralities
 136   TH1D* fh1EventCent2Jets; //! number of events for different centralities
 137   TH1D* fh1EventCent2NoJets; //! number of events for different centralities
 138   TH2D* fh2EventCentTracks; //! number of tracks vs centrality
 139   TH1D* fh1VtxZ[fgkiNBinsCent]; //! z coordinate of the primary vertex
 140   TH2D* fh2VtxXY[fgkiNBinsCent]; //! xy coordinates of the primary vertex
 141   TH1D* fh1V0CandPerEvent; //! number of V0 cand per event
 142
 143   // jet histograms
 144   TH1D* fh1PtJet[fgkiNBinsCent]; //! pt spectra of jets for normalisation of in-jet V0 spectra
 145   TH1D* fh1EtaJet[fgkiNBinsCent]; //! jet eta
 146   TH2D* fh2EtaPtJet[fgkiNBinsCent]; //! jet eta-pT
 147   TH1D* fh1PhiJet[fgkiNBinsCent]; //! jet phi
 148   TH1D* fh1NJetPerEvent[fgkiNBinsCent]; //! number of jets per event
 149   TH1D* fh1NRndConeCent; //! number of generated random cones in centrality bins
 150   TH2D* fh2EtaPhiRndCone[fgkiNBinsCent]; //! random cone eta-pT
 151   TH1D* fh1NMedConeCent; //! number of found median-cluster cones in centrality bins
 152   TH2D* fh2EtaPhiMedCone[fgkiNBinsCent]; //! median-cluster cone eta-phi
 153   TH1D* fh1AreaExcluded; //! area of excluded cones for outside-cones V0s
 154
 155   static const Int_t fgkiNCategV0 = 17; // number of V0 selection steps
 156
 157   // QA histograms
 158   static const Int_t fgkiNQAIndeces = 2; // 0 - before cuts, 1 - after cuts
 159   TH1D* fh1QAV0Status[fgkiNQAIndeces]; //! online vs offline reconstructed V0 candidates
 160   TH1D* fh1QAV0TPCRefit[fgkiNQAIndeces]; //! TPC refit on vs off
 161   TH1D* fh1QAV0TPCRows[fgkiNQAIndeces]; //! crossed TPC pad rows
 162   TH1D* fh1QAV0TPCFindable[fgkiNQAIndeces]; //! findable clusters
 163   TH1D* fh1QAV0TPCRowsFind[fgkiNQAIndeces]; //! ratio rows/clusters
 164   TH1D* fh1QAV0Eta[fgkiNQAIndeces]; //! pseudorapidity
 165   TH2D* fh2QAV0EtaRows[fgkiNQAIndeces]; //! pseudorapidity vs TPC rows
 166   TH2D* fh2QAV0PtRows[fgkiNQAIndeces]; //! pt vs TPC rows
 167   TH2D* fh2QAV0PhiRows[fgkiNQAIndeces]; //! azimuth vs TPC rows
 168   TH2D* fh2QAV0NClRows[fgkiNQAIndeces]; //! clusters vs TPC rows
 169   TH2D* fh2QAV0EtaNCl[fgkiNQAIndeces]; //! pseudorapidity vs clusters
 170
 171   // K0s
 172   TH1D* fh1V0CounterCentK0s[fgkiNBinsCent]; //! number of K0s candidates after various cuts
 173   TH1D* fh1V0InvMassK0sAll[fgkiNCategV0]; //! V0 invariant mass, selection steps
 174   TH2D* fh2QAV0EtaPtK0sPeak[fgkiNQAIndeces]; //! daughters pseudorapidity vs V0 pt, in mass peak
 175   TH2D* fh2QAV0EtaEtaK0s[fgkiNQAIndeces]; //! daughters pseudorapidity vs pseudorapidity
 176   TH2D* fh2QAV0PhiPhiK0s[fgkiNQAIndeces]; //! daughters azimuth vs azimuth
 177   TH1D* fh1QAV0RapK0s[fgkiNQAIndeces]; //! V0 rapidity
 178   TH2D* fh2QAV0PtPtK0sPeak[fgkiNQAIndeces]; //! daughters pt vs pt, in mass peak
 179   TH2D* fh2ArmPodK0s[fgkiNQAIndeces]; //! Armenteros-Podolanski
 180   TH1D* fh1V0CandPerEventCentK0s[fgkiNBinsCent]; //! number of K0s candidates per event, in centrality bins
 181   TH1D* fh1V0InvMassK0sCent[fgkiNBinsCent]; //! V0 invariant mass, in centrality bins
 182   // K0s Inclusive
 183   THnSparse* fhnV0InclusiveK0s[fgkiNBinsCent]; //! V0 inv mass vs pt before and after cuts, in centrality bins
 184   // K0s Cones
 185   THnSparse* fhnV0InJetK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt vs jet pt, in centrality bins
 186   THnSparse* fhnV0InPerpK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt vs jet pt, in centrality bins
 187   THnSparse* fhnV0InRndK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt vs jet pt, in centrality bins
 188   THnSparse* fhnV0InMedK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt vs jet pt, in centrality bins
 189   THnSparse* fhnV0OutJetK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt, in centrality bins
 190   THnSparse* fhnV0NoJetK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt, in centrality bins
 191
 192   TH2D* fh2V0PtJetAngleK0s[fgkiNBinsCent]; //! pt jet vs angle V0-jet, in centrality bins
 193   TH1D* fh1DCAInK0s[fgkiNBinsCent]; //! DCA between daughters of V0 inside jets, in centrality bins
 194   TH1D* fh1DCAOutK0s[fgkiNBinsCent]; //! DCA between daughters of V0 outside jets, in centrality bins
 195 //  TH1D* fh1DeltaZK0s[fgkiNBinsCent]; //! z-distance between V0 vertex and primary vertex, in centrality bins
 196   // MC histograms
 197   // inclusive
 198   TH1D* fh1V0K0sPtMCGen[fgkiNBinsCent]; //! pt spectrum of all generated K0s in event
 199   TH2D* fh2V0K0sPtMassMCRec[fgkiNBinsCent]; //! pt-mass spectrum of successfully reconstructed K0s in event
 200   TH1D* fh1V0K0sPtMCRecFalse[fgkiNBinsCent]; //! pt spectrum of false reconstructed K0s in event
 201   // inclusive eta-pT efficiency
 202   TH2D* fh2V0K0sEtaPtMCGen[fgkiNBinsCent]; //! eta-pt spectrum of all generated K0s in event
 203   THnSparse* fh3V0K0sEtaPtMassMCRec[fgkiNBinsCent]; //! eta-pt-mass spectrum of successfully reconstructed K0s in event
 204   // MC daughter eta inclusive
 205 //  THnSparse* fhnV0K0sInclDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated
 206   THnSparse* fhnV0K0sInclDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed
 207   // in jets
 208   TH2D* fh2V0K0sInJetPtMCGen[fgkiNBinsCent]; //! pt spectrum of generated K0s in jet
 209   THnSparse* fh3V0K0sInJetPtMassMCRec[fgkiNBinsCent]; //! mass-pt spectrum of successfully reconstructed K0s in jet
 210   // in jets eta-pT efficiency
 211   THnSparse* fh3V0K0sInJetEtaPtMCGen[fgkiNBinsCent]; //! eta-pt spectrum of generated K0s in jet
 212   THnSparse* fh4V0K0sInJetEtaPtMassMCRec[fgkiNBinsCent]; //! mass-eta-pt spectrum of successfully reconstructed K0s in jet
 213   // MC daughter eta in JC
 214 //  THnSparse* fhnV0K0sInJetsDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated
 215   THnSparse* fhnV0K0sInJetsDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed
 216
 217   // resolution
 218   TH2D* fh2V0K0sMCResolMPt[fgkiNBinsCent]; //! K0s mass resolution vs pt
 219   TH2D* fh2V0K0sMCPtGenPtRec[fgkiNBinsCent]; //! K0s generated pt vs reconstructed pt
 220
 221   // Lambda
 222   TH1D* fh1V0CounterCentLambda[fgkiNBinsCent]; //! number of Lambda candidates after various cuts
 223   TH1D* fh1V0InvMassLambdaAll[fgkiNCategV0]; //!
 224   TH2D* fh2QAV0EtaPtLambdaPeak[fgkiNQAIndeces]; //!
 225   TH2D* fh2QAV0EtaEtaLambda[fgkiNQAIndeces]; //!
 226   TH2D* fh2QAV0PhiPhiLambda[fgkiNQAIndeces]; //!
 227   TH1D* fh1QAV0RapLambda[fgkiNQAIndeces]; //!
 228   TH2D* fh2QAV0PtPtLambdaPeak[fgkiNQAIndeces]; //!
 229   TH2D* fh2ArmPodLambda[fgkiNQAIndeces]; //!
 230   TH1D* fh1V0CandPerEventCentLambda[fgkiNBinsCent]; //!
 231   TH1D* fh1V0InvMassLambdaCent[fgkiNBinsCent]; //!
 232   // Lambda Inclusive
 233   THnSparse* fhnV0InclusiveLambda[fgkiNBinsCent]; //!
 234   // Lambda Cones
 235   THnSparse* fhnV0InJetLambda[fgkiNBinsCent]; //!
 236   THnSparse* fhnV0InPerpLambda[fgkiNBinsCent]; //!
 237   THnSparse* fhnV0InRndLambda[fgkiNBinsCent]; //!
 238   THnSparse* fhnV0InMedLambda[fgkiNBinsCent]; //!
 239   THnSparse* fhnV0OutJetLambda[fgkiNBinsCent]; //!
 240   THnSparse* fhnV0NoJetLambda[fgkiNBinsCent]; //!
 241
 242   TH2D* fh2V0PtJetAngleLambda[fgkiNBinsCent]; //!
 243   TH1D* fh1DCAInLambda[fgkiNBinsCent]; //!
 244   TH1D* fh1DCAOutLambda[fgkiNBinsCent]; //!
 245 //  TH1D* fh1DeltaZLambda[fgkiNBinsCent]; //!
 246   // MC histograms
 247   // inclusive
 248   TH1D* fh1V0LambdaPtMCGen[fgkiNBinsCent]; //!
 249   TH2D* fh2V0LambdaPtMassMCRec[fgkiNBinsCent]; //!
 250   TH1D* fh1V0LambdaPtMCRecFalse[fgkiNBinsCent]; //!
 251   // inclusive eta-pT efficiency
 252   TH2D* fh2V0LambdaEtaPtMCGen[fgkiNBinsCent]; //!
 253   THnSparse* fh3V0LambdaEtaPtMassMCRec[fgkiNBinsCent]; //!
 254   // MC daughter eta inclusive
 255 //  THnSparse* fhnV0LambdaInclDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated
 256   THnSparse* fhnV0LambdaInclDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed
 257   // in jets
 258   TH2D* fh2V0LambdaInJetPtMCGen[fgkiNBinsCent]; //!
 259   THnSparse* fh3V0LambdaInJetPtMassMCRec[fgkiNBinsCent]; //!
 260   // in jets eta-pT efficiency
 261   THnSparse* fh3V0LambdaInJetEtaPtMCGen[fgkiNBinsCent]; //!
 262   THnSparse* fh4V0LambdaInJetEtaPtMassMCRec[fgkiNBinsCent]; //!
 263   // MC daughter eta in JC
 264 //  THnSparse* fhnV0LambdaInJetsDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated
 265   THnSparse* fhnV0LambdaInJetsDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed
 266
 267   // resolution
 268   TH2D* fh2V0LambdaMCResolMPt[fgkiNBinsCent]; //!
 269   TH2D* fh2V0LambdaMCPtGenPtRec[fgkiNBinsCent]; //!
 270   // feed-down
 271   THnSparseD* fhnV0LambdaInclMCFD[fgkiNBinsCent]; //!
 272   THnSparseD* fhnV0LambdaInJetsMCFD[fgkiNBinsCent]; //!
 273   THnSparseD* fhnV0LambdaBulkMCFD[fgkiNBinsCent]; //!
 274   TH1D* fh1V0XiPtMCGen[fgkiNBinsCent]; //!
 275
 276   // ALambda
 277   TH1D* fh1V0CounterCentALambda[fgkiNBinsCent]; //! number of ALambda candidates after various cuts
 278   TH1D* fh1V0InvMassALambdaAll[fgkiNCategV0]; //!
 279   TH2D* fh2QAV0EtaPtALambdaPeak[fgkiNQAIndeces]; //!
 280   TH2D* fh2QAV0EtaEtaALambda[fgkiNQAIndeces]; //!
 281   TH2D* fh2QAV0PhiPhiALambda[fgkiNQAIndeces]; //!
 282   TH1D* fh1QAV0RapALambda[fgkiNQAIndeces]; //!
 283   TH2D* fh2QAV0PtPtALambdaPeak[fgkiNQAIndeces]; //!
 284   TH2D* fh2ArmPodALambda[fgkiNQAIndeces]; //!
 285   TH1D* fh1V0CandPerEventCentALambda[fgkiNBinsCent]; //!
 286   TH1D* fh1V0InvMassALambdaCent[fgkiNBinsCent]; //!
 287   TH1D* fh1V0ALambdaPt[fgkiNBinsCent]; //!
 288   // ALambda Inclusive
 289   THnSparse* fhnV0InclusiveALambda[fgkiNBinsCent]; //!
 290   // ALambda Cones
 291   THnSparse* fhnV0InJetALambda[fgkiNBinsCent]; //!
 292   THnSparse* fhnV0InPerpALambda[fgkiNBinsCent]; //!
 293   THnSparse* fhnV0InRndALambda[fgkiNBinsCent]; //!
 294   THnSparse* fhnV0InMedALambda[fgkiNBinsCent]; //!
 295   THnSparse* fhnV0OutJetALambda[fgkiNBinsCent]; //!
 296   THnSparse* fhnV0NoJetALambda[fgkiNBinsCent]; //!
 297
 298   TH2D* fh2V0PtJetAngleALambda[fgkiNBinsCent]; //!
 299   TH1D* fh1DCAInALambda[fgkiNBinsCent]; //!
 300   TH1D* fh1DCAOutALambda[fgkiNBinsCent]; //!
 301 //  TH1D* fh1DeltaZALambda[fgkiNBinsCent]; //!
 302   // MC histograms
 303   // inclusive
 304   TH1D* fh1V0ALambdaPtMCGen[fgkiNBinsCent]; //!
 305   TH1D* fh1V0ALambdaPtMCRec[fgkiNBinsCent]; //!
 306   TH2D* fh2V0ALambdaPtMassMCRec[fgkiNBinsCent]; //!
 307   TH1D* fh1V0ALambdaPtMCRecFalse[fgkiNBinsCent]; //!
 308   // inclusive eta-pT efficiency
 309   TH2D* fh2V0ALambdaEtaPtMCGen[fgkiNBinsCent]; //!
 310   THnSparse* fh3V0ALambdaEtaPtMassMCRec[fgkiNBinsCent]; //!
 311   // MC daughter eta inclusive
 312 //  THnSparse* fhnV0ALambdaInclDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated
 313   THnSparse* fhnV0ALambdaInclDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed
 314   // in jets
 315   TH2D* fh2V0ALambdaInJetPtMCGen[fgkiNBinsCent]; //!
 316   TH2D* fh2V0ALambdaInJetPtMCRec[fgkiNBinsCent]; //!
 317   THnSparse* fh3V0ALambdaInJetPtMassMCRec[fgkiNBinsCent]; //!
 318   // in jets eta-pT efficiency
 319   THnSparse* fh3V0ALambdaInJetEtaPtMCGen[fgkiNBinsCent]; //!
 320   THnSparse* fh4V0ALambdaInJetEtaPtMassMCRec[fgkiNBinsCent]; //!
 321   // MC daughter eta in JC
 322 //  THnSparse* fhnV0ALambdaInJetsDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated
 323   THnSparse* fhnV0ALambdaInJetsDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed
 324
 325   // resolution
 326   TH2D* fh2V0ALambdaMCResolMPt[fgkiNBinsCent]; //!
 327   TH2D* fh2V0ALambdaMCPtGenPtRec[fgkiNBinsCent]; //!
 328   // feed-down
 329   THnSparseD* fhnV0ALambdaInclMCFD[fgkiNBinsCent]; //!
 330   THnSparseD* fhnV0ALambdaInJetsMCFD[fgkiNBinsCent]; //!
 331   THnSparseD* fhnV0ALambdaBulkMCFD[fgkiNBinsCent]; //!
 332   TH1D* fh1V0AXiPtMCGen[fgkiNBinsCent]; //!
 333
 334   TH1D* fh1QAV0Pt[fgkiNQAIndeces]; //! pt
 335   TH1D* fh1QAV0Charge[fgkiNQAIndeces]; //! charge
 336   TH1D* fh1QAV0DCAVtx[fgkiNQAIndeces]; //! DCA of daughters to prim vtx
 337   TH1D* fh1QAV0DCAV0[fgkiNQAIndeces]; //! DCA between daughters
 338   TH1D* fh1QAV0Cos[fgkiNQAIndeces]; //! cosine of pointing angle (CPA)
 339   TH1D* fh1QAV0R[fgkiNQAIndeces]; //! radial distance between prim vtx and decay vertex
 340   TH1D* fh1QACTau2D[fgkiNQAIndeces]; //! lifetime calculated in xy
 341   TH1D* fh1QACTau3D[fgkiNQAIndeces]; //! lifetime calculated in xyz
 342   TH2D* fh2ArmPod[fgkiNQAIndeces]; //! Armenteros-Podolanski
 343   TH2D* fh2CCK0s; //! K0s candidates in Lambda peak
 344   TH2D* fh2CCLambda; //! Lambda candidates in K0s peak
 345   THnSparse* fh3CCMassCorrelBoth; //! mass correlation of candidates
 346   THnSparse* fh3CCMassCorrelKNotL; //! mass correlation of candidates
 347   THnSparse* fh3CCMassCorrelLNotK; //! mass correlation of candidates
 348
 349   // Cut tuning
 350   // crossed/findable, daughter pt, dca, cpa, r, pseudorapidity, y, decay length, PID sigma
 351   /*
 352   TH2D* fh2CutTPCRowsK0s[fgkiNQAIndeces]; //! inv mass vs TPC rows
 353   TH2D* fh2CutTPCRowsLambda[fgkiNQAIndeces]; //!
 354   TH2D* fh2CutPtPosK0s[fgkiNQAIndeces]; //! inv mass vs pt of positive daughter
 355   TH2D* fh2CutPtNegK0s[fgkiNQAIndeces]; //! inv mass vs pt of negative daughter
 356   TH2D* fh2CutPtPosLambda[fgkiNQAIndeces]; //!
 357   TH2D* fh2CutPtNegLambda[fgkiNQAIndeces]; //!
 358   TH2D* fh2CutDCAVtx[fgkiNQAIndeces]; //! inv mass vs DCA of daughters to prim vtx
 359   TH2D* fh2CutDCAV0[fgkiNQAIndeces]; //! inv mass vs DCA between daughters
 360   TH2D* fh2CutCos[fgkiNQAIndeces]; //! inv mass vs CPA
 361   TH2D* fh2CutR[fgkiNQAIndeces]; //! inv mass vs R
 362   TH2D* fh2CutEtaK0s[fgkiNQAIndeces]; //! inv mass vs pseudorapidity
 363   TH2D* fh2CutEtaLambda[fgkiNQAIndeces]; //!
 364   TH2D* fh2CutRapK0s[fgkiNQAIndeces]; //! inv mass vs rapidity
 365   TH2D* fh2CutRapLambda[fgkiNQAIndeces]; //!
 366   TH2D* fh2CutCTauK0s[fgkiNQAIndeces]; //! inv mass vs lifetime
 367   TH2D* fh2CutCTauLambda[fgkiNQAIndeces]; //!
 368   TH2D* fh2CutPIDPosK0s[fgkiNQAIndeces]; //! inv mass vs number of dE/dx sigmas for positive daughter
 369   TH2D* fh2CutPIDNegK0s[fgkiNQAIndeces]; //! inv mass vs number of dE/dx sigmas for negative daughter
 370   TH2D* fh2CutPIDPosLambda[fgkiNQAIndeces]; //!
 371   TH2D* fh2CutPIDNegLambda[fgkiNQAIndeces]; //!
 372
 373   TH2D* fh2Tau3DVs2D[fgkiNQAIndeces]; //! pt vs ratio 3D lifetime / 2D lifetime
 374   */
 375
 376   AliAnalysisTaskV0sInJets(const AliAnalysisTaskV0sInJets&); // not implemented
 377   AliAnalysisTaskV0sInJets& operator=(const AliAnalysisTaskV0sInJets&); // not implemented
 378
 379   ClassDef(AliAnalysisTaskV0sInJets, 3) // example of analysis
 380 };
 381
 382 #endif