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7729cc34 | 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 SetJetBranchName(char* line){fsJetBranchName = line;} | |
9706bde3 | 33 | void SetJetBgBranchName(char* line){fsJetBgBranchName = line;} |
87e23d3e | 34 | 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;} |
35 | void SetPtJetMin(Double_t ptMin = 0){fdCutPtJetMin = ptMin;} | |
36 | void SetPtTrackMin(Double_t ptMin = 0){fdCutPtTrackMin = ptMin;} | |
37 | void SetJetRadius(Double_t r = 0.4){fdRadiusJet = r;} | |
7729cc34 | 38 | void SetJetSelection(Bool_t select = kTRUE){fbJetSelection = select;} |
39 | void SetMCAnalysis(Bool_t select = kTRUE){fbMCAnalysis = select;} | |
40 | // void SetTreeOutput(Bool_t select = kTRUE){fbTreeOutput = 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 | // virtual Double_t MassPeakSigma(Double_t pt, Int_t particle); | |
43 | // virtual Double_t MassPeakSigma(Int_t iCent, Double_t pt, Int_t particle); | |
44 | 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); | |
45 | Bool_t IsParticleInCone(const AliVParticle* part1, const AliVParticle* part2, Double_t dRMax) const; // decides whether a particle is inside a jet cone | |
46 | Bool_t OverlapWithJets(const TClonesArray* array, const AliVParticle* cone, Double_t dDistance) const; // decides whether a cone overlaps with other jets | |
9706bde3 | 47 | AliAODJet* GetRandomCone(const TClonesArray* array, Double_t dEtaConeMax, Double_t dDistance) const; // generate a random cone which does not overlap with selected jets |
48 | AliAODJet* GetMedianCluster(const TClonesArray* array, Double_t dEtaConeMax) const; // get median kt cluster | |
7729cc34 | 49 | Double_t AreaCircSegment(Double_t dRadius, Double_t dDistance) const; // area of circular segment |
50 | ||
51 | void SetCutDCAToPrimVtxMin(Double_t val = 0.1){fdCutDCAToPrimVtxMin = val;} | |
52 | void SetCutDCADaughtersMax(Double_t val = 1.){fdCutDCADaughtersMax = val;} | |
53 | void SetCutNSigmadEdxMax(Double_t val = 3.){fdCutNSigmadEdxMax = val;} | |
54 | void SetCutCPAMin(Double_t val = 0.998){fdCutCPAMin = val;} | |
55 | void SetCutNTauMax(Double_t val = 5.){fdCutNTauMax = val;} | |
56 | ||
87e23d3e | 57 | static 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.); |
7729cc34 | 58 | static Int_t GetCentralityBinIndex(Double_t centrality); |
59 | static Int_t GetCentralityBinEdge(Int_t index); | |
60 | static TString GetCentBinLabel(Int_t index); | |
61 | static Double_t MassPeakSigmaOld(Double_t pt, Int_t particle); | |
62 | ||
63 | // upper edges of centrality bins | |
9706bde3 | 64 | static const Int_t fgkiNBinsCent = 1; // number of centrality bins |
7729cc34 | 65 | static const Int_t fgkiCentBinRanges[fgkiNBinsCent]; // upper edges of centrality bins |
66 | // axis: pT of V0 | |
67 | static const Double_t fgkdBinsPtV0[2]; // [GeV/c] minimum and maximum or desired binning of the axis (intended for the rebinned axis) | |
68 | static const Int_t fgkiNBinsPtV0; // number of bins (intended for the rebinned axis) | |
69 | static const Int_t fgkiNBinsPtV0Init; // initial number of bins (uniform binning) | |
70 | // axis: pT of jets | |
71 | static const Double_t fgkdBinsPtJet[2]; // [GeV/c] minimum and maximum or desired binning of the axis (intended for the rebinned axis) | |
72 | static const Int_t fgkiNBinsPtJet; // number of bins (intended for the rebinned axis) | |
73 | static const Int_t fgkiNBinsPtJetInit; // initial number of bins (uniform binning) | |
74 | // axis: K0S invariant mass | |
75 | static const Int_t fgkiNBinsMassK0s; // number of bins (uniform binning) | |
87e23d3e | 76 | static const Double_t fgkdMassK0sMin; // minimum |
77 | static const Double_t fgkdMassK0sMax; // maximum | |
7729cc34 | 78 | // axis: Lambda invariant mass |
79 | static const Int_t fgkiNBinsMassLambda; // number of bins (uniform binning) | |
87e23d3e | 80 | static const Double_t fgkdMassLambdaMin; // minimum |
81 | static const Double_t fgkdMassLambdaMax; // maximum | |
7729cc34 | 82 | |
83 | private: | |
9706bde3 | 84 | AliAODEvent* fAODIn; //! Input AOD event |
85 | AliAODEvent* fAODOut; //! Output AOD event | |
86 | TList* fOutputListStd; //! Output list for standard analysis results | |
87 | TList* fOutputListQA; //! Output list for quality assurance | |
88 | TList* fOutputListCuts; //! Output list for checking cuts | |
89 | TList* fOutputListMC; //! Output list for MC related results | |
90 | // TTree* ftreeOut; //! output tree | |
7729cc34 | 91 | |
92 | Int_t fiAODAnalysis; // switch for input AOD/ESD | |
93 | ||
94 | // V0 selection | |
95 | Double_t fdCutDCAToPrimVtxMin; // [cm] min DCA of daughters to the prim vtx | |
96 | Double_t fdCutDCADaughtersMax; // [sigma of TPC tracking] max DCA between daughters | |
97 | Double_t fdCutNSigmadEdxMax; // [sigma dE/dx] max difference between measured and expected signal of dE/dx in the TPC | |
98 | Double_t fdCutCPAMin; // min cosine of the pointing angle | |
99 | Double_t fdCutNTauMax; // [tau] max proper lifetime in multiples of the mean lifetime | |
100 | // jet selection | |
101 | TString fsJetBranchName; // name of the branch with jets | |
9706bde3 | 102 | TString fsJetBgBranchName; // name of the branch with kt clusters used for the rho calculation |
87e23d3e | 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 | |
7729cc34 | 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 | // Bool_t fbTreeOutput; // switch for the output tree | |
9706bde3 | 110 | TRandom* fRandom; //! random-number generator |
7729cc34 | 111 | |
112 | // event cuts | |
87e23d3e | 113 | Double_t fdCutVertexZ; // [cm] maximum |z| of primary vertex |
114 | Double_t fdCutVertexR2; // [cm^2] maximum r^2 of primary vertex | |
115 | Double_t fdCutCentLow; // [%] minimum centrality | |
116 | Double_t fdCutCentHigh; // [%] maximum centrality | |
7729cc34 | 117 | /* |
118 | // output branches | |
9706bde3 | 119 | TClonesArray* fBranchV0Rec; //! output branch for reconstructed V0s |
120 | TClonesArray* fBranchV0Gen; //! output branch for generated V0s | |
121 | TClonesArray* fBranchJet; //! output branch for selected jets | |
122 | AliEventInfoObject* fEventInfo; //! class to store info about events | |
7729cc34 | 123 | */ |
9706bde3 | 124 | Double_t fdCentrality; //! |
7729cc34 | 125 | |
126 | // event histograms | |
9706bde3 | 127 | TH1D* fh1EventCounterCut; //! number of events for different selection steps |
128 | TH1D* fh1EventCounterCutCent[fgkiNBinsCent]; //! number of events for different selection steps and different centralities | |
129 | TH1D* fh1EventCent; //! number of events for different centralities | |
130 | TH1D* fh1EventCent2; //! number of events for different centralities | |
169867f8 | 131 | TH1D* fh1EventCent2Jets; //! number of events for different centralities |
132 | TH1D* fh1EventCent2NoJets; //! number of events for different centralities | |
9706bde3 | 133 | TH2D* fh2EventCentTracks; //! number of tracks vs centrality |
134 | TH1D* fh1VtxZ[fgkiNBinsCent]; //! z coordinate of the primary vertex | |
135 | TH2D* fh2VtxXY[fgkiNBinsCent]; //! xy coordinates of the primary vertex | |
136 | TH1D* fh1V0CandPerEvent; //! number of V0 cand per event | |
7729cc34 | 137 | |
138 | // jet histograms | |
9706bde3 | 139 | TH1D* fh1PtJet[fgkiNBinsCent]; //! pt spectra of jets for normalisation of in-jet V0 spectra |
140 | TH1D* fh1EtaJet[fgkiNBinsCent]; //! jet eta | |
141 | TH2D* fh2EtaPtJet[fgkiNBinsCent]; //! jet eta-pT | |
142 | TH1D* fh1PhiJet[fgkiNBinsCent]; //! jet phi | |
143 | TH1D* fh1NJetPerEvent[fgkiNBinsCent]; //! number of jets per event | |
144 | TH1D* fh1NRndConeCent; //! number of generated random cones in centrality bins | |
145 | TH2D* fh2EtaPhiRndCone[fgkiNBinsCent]; //! random cone eta-pT | |
146 | TH1D* fh1NMedConeCent; //! number of found median-cluster cones in centrality bins | |
147 | TH2D* fh2EtaPhiMedCone[fgkiNBinsCent]; //! median-cluster cone eta-phi | |
148 | TH1D* fh1AreaExcluded; //! area of excluded cones for outside-cones V0s | |
7729cc34 | 149 | |
150 | static const Int_t fgkiNCategV0 = 17; // number of V0 selection steps | |
151 | ||
152 | // QA histograms | |
153 | static const Int_t fgkiNQAIndeces = 2; // 0 - before cuts, 1 - after cuts | |
9706bde3 | 154 | TH1D* fh1QAV0Status[fgkiNQAIndeces]; //! online vs offline reconstructed V0 candidates |
155 | TH1D* fh1QAV0TPCRefit[fgkiNQAIndeces]; //! TPC refit on vs off | |
156 | TH1D* fh1QAV0TPCRows[fgkiNQAIndeces]; //! crossed TPC pad rows | |
157 | TH1D* fh1QAV0TPCFindable[fgkiNQAIndeces]; //! findable clusters | |
158 | TH1D* fh1QAV0TPCRowsFind[fgkiNQAIndeces]; //! ratio rows/clusters | |
159 | TH1D* fh1QAV0Eta[fgkiNQAIndeces]; //! pseudorapidity | |
160 | TH2D* fh2QAV0EtaRows[fgkiNQAIndeces]; //! pseudorapidity vs TPC rows | |
161 | TH2D* fh2QAV0PtRows[fgkiNQAIndeces]; //! pt vs TPC rows | |
162 | TH2D* fh2QAV0PhiRows[fgkiNQAIndeces]; //! azimuth vs TPC rows | |
163 | TH2D* fh2QAV0NClRows[fgkiNQAIndeces]; //! clusters vs TPC rows | |
164 | TH2D* fh2QAV0EtaNCl[fgkiNQAIndeces]; //! pseudorapidity vs clusters | |
7729cc34 | 165 | |
166 | // K0s | |
9706bde3 | 167 | TH1D* fh1V0CounterCentK0s[fgkiNBinsCent]; //! number of K0s candidates after various cuts |
168 | TH1D* fh1V0InvMassK0sAll[fgkiNCategV0]; //! V0 invariant mass, selection steps | |
169 | TH2D* fh2QAV0EtaPtK0sPeak[fgkiNQAIndeces]; //! daughters pseudorapidity vs V0 pt, in mass peak | |
170 | TH2D* fh2QAV0EtaEtaK0s[fgkiNQAIndeces]; //! daughters pseudorapidity vs pseudorapidity | |
171 | TH2D* fh2QAV0PhiPhiK0s[fgkiNQAIndeces]; //! daughters azimuth vs azimuth | |
172 | TH1D* fh1QAV0RapK0s[fgkiNQAIndeces]; //! V0 rapidity | |
173 | TH2D* fh2QAV0PtPtK0sPeak[fgkiNQAIndeces]; //! daughters pt vs pt, in mass peak | |
174 | TH2D* fh2ArmPodK0s[fgkiNQAIndeces]; //! Armenteros-Podolanski | |
175 | TH1D* fh1V0CandPerEventCentK0s[fgkiNBinsCent]; //! number of K0s candidates per event, in centrality bins | |
176 | TH1D* fh1V0InvMassK0sCent[fgkiNBinsCent]; //! V0 invariant mass, in centrality bins | |
7729cc34 | 177 | // K0s Inclusive |
9706bde3 | 178 | THnSparse* fhnV0InclusiveK0s[fgkiNBinsCent]; //! V0 inv mass vs pt before and after cuts, in centrality bins |
7729cc34 | 179 | // K0s Cones |
9706bde3 | 180 | THnSparse* fhnV0InJetK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt vs jet pt, in centrality bins |
181 | THnSparse* fhnV0InPerpK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt vs jet pt, in centrality bins | |
182 | THnSparse* fhnV0InRndK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt vs jet pt, in centrality bins | |
183 | THnSparse* fhnV0InMedK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt vs jet pt, in centrality bins | |
184 | THnSparse* fhnV0OutJetK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt, in centrality bins | |
185 | THnSparse* fhnV0NoJetK0s[fgkiNBinsCent]; //! V0 invariant mass vs V0 pt, in centrality bins | |
186 | ||
187 | TH2D* fh2V0PtJetAngleK0s[fgkiNBinsCent]; //! pt jet vs angle V0-jet, in centrality bins | |
188 | TH1D* fh1DCAInK0s[fgkiNBinsCent]; //! DCA between daughters of V0 inside jets, in centrality bins | |
189 | TH1D* fh1DCAOutK0s[fgkiNBinsCent]; //! DCA between daughters of V0 outside jets, in centrality bins | |
190 | TH1D* fh1DeltaZK0s[fgkiNBinsCent]; //! z-distance between V0 vertex and primary vertex, in centrality bins | |
7729cc34 | 191 | // MC histograms |
192 | // inclusive | |
9706bde3 | 193 | TH1D* fh1V0K0sPtMCGen[fgkiNBinsCent]; //! pt spectrum of all generated K0s in event |
194 | TH2D* fh2V0K0sPtMassMCRec[fgkiNBinsCent]; //! pt-mass spectrum of successfully reconstructed K0s in event | |
195 | TH1D* fh1V0K0sPtMCRecFalse[fgkiNBinsCent]; //! pt spectrum of false reconstructed K0s in event | |
7729cc34 | 196 | // inclusive eta-pT efficiency |
9706bde3 | 197 | TH2D* fh2V0K0sEtaPtMCGen[fgkiNBinsCent]; //! eta-pt spectrum of all generated K0s in event |
198 | THnSparse* fh3V0K0sEtaPtMassMCRec[fgkiNBinsCent]; //! eta-pt-mass spectrum of successfully reconstructed K0s in event | |
7729cc34 | 199 | // MC daughter eta inclusive |
9706bde3 | 200 | // THnSparse* fhnV0K0sInclDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated |
201 | THnSparse* fhnV0K0sInclDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed | |
7729cc34 | 202 | // in jets |
9706bde3 | 203 | TH2D* fh2V0K0sInJetPtMCGen[fgkiNBinsCent]; //! pt spectrum of generated K0s in jet |
204 | THnSparse* fh3V0K0sInJetPtMassMCRec[fgkiNBinsCent]; //! mass-pt spectrum of successfully reconstructed K0s in jet | |
7729cc34 | 205 | // in jets eta-pT efficiency |
9706bde3 | 206 | THnSparse* fh3V0K0sInJetEtaPtMCGen[fgkiNBinsCent]; //! eta-pt spectrum of generated K0s in jet |
207 | THnSparse* fh4V0K0sInJetEtaPtMassMCRec[fgkiNBinsCent]; //! mass-eta-pt spectrum of successfully reconstructed K0s in jet | |
7729cc34 | 208 | // MC daughter eta in JC |
9706bde3 | 209 | // THnSparse* fhnV0K0sInJetsDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated |
210 | THnSparse* fhnV0K0sInJetsDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed | |
7729cc34 | 211 | |
212 | // resolution | |
9706bde3 | 213 | TH2D* fh2V0K0sMCResolMPt[fgkiNBinsCent]; //! K0s mass resolution vs pt |
214 | TH2D* fh2V0K0sMCPtGenPtRec[fgkiNBinsCent]; //! K0s generated pt vs reconstructed pt | |
7729cc34 | 215 | |
216 | // Lambda | |
9706bde3 | 217 | TH1D* fh1V0CounterCentLambda[fgkiNBinsCent]; //! number of Lambda candidates after various cuts |
218 | TH1D* fh1V0InvMassLambdaAll[fgkiNCategV0]; //! | |
219 | TH2D* fh2QAV0EtaPtLambdaPeak[fgkiNQAIndeces]; //! | |
220 | TH2D* fh2QAV0EtaEtaLambda[fgkiNQAIndeces]; //! | |
221 | TH2D* fh2QAV0PhiPhiLambda[fgkiNQAIndeces]; //! | |
222 | TH1D* fh1QAV0RapLambda[fgkiNQAIndeces]; //! | |
223 | TH2D* fh2QAV0PtPtLambdaPeak[fgkiNQAIndeces]; //! | |
224 | TH2D* fh2ArmPodLambda[fgkiNQAIndeces]; //! | |
225 | TH1D* fh1V0CandPerEventCentLambda[fgkiNBinsCent]; //! | |
226 | TH1D* fh1V0InvMassLambdaCent[fgkiNBinsCent]; //! | |
7729cc34 | 227 | // Lambda Inclusive |
9706bde3 | 228 | THnSparse* fhnV0InclusiveLambda[fgkiNBinsCent]; //! |
7729cc34 | 229 | // Lambda Cones |
9706bde3 | 230 | THnSparse* fhnV0InJetLambda[fgkiNBinsCent]; //! |
231 | THnSparse* fhnV0InPerpLambda[fgkiNBinsCent]; //! | |
232 | THnSparse* fhnV0InRndLambda[fgkiNBinsCent]; //! | |
233 | THnSparse* fhnV0InMedLambda[fgkiNBinsCent]; //! | |
234 | THnSparse* fhnV0OutJetLambda[fgkiNBinsCent]; //! | |
235 | THnSparse* fhnV0NoJetLambda[fgkiNBinsCent]; //! | |
236 | ||
237 | TH2D* fh2V0PtJetAngleLambda[fgkiNBinsCent]; //! | |
238 | TH1D* fh1DCAInLambda[fgkiNBinsCent]; //! | |
239 | TH1D* fh1DCAOutLambda[fgkiNBinsCent]; //! | |
240 | TH1D* fh1DeltaZLambda[fgkiNBinsCent]; //! | |
7729cc34 | 241 | // MC histograms |
242 | // inclusive | |
9706bde3 | 243 | TH1D* fh1V0LambdaPtMCGen[fgkiNBinsCent]; //! |
244 | TH2D* fh2V0LambdaPtMassMCRec[fgkiNBinsCent]; //! | |
245 | TH1D* fh1V0LambdaPtMCRecFalse[fgkiNBinsCent]; //! | |
7729cc34 | 246 | // inclusive eta-pT efficiency |
9706bde3 | 247 | TH2D* fh2V0LambdaEtaPtMCGen[fgkiNBinsCent]; //! |
248 | THnSparse* fh3V0LambdaEtaPtMassMCRec[fgkiNBinsCent]; //! | |
7729cc34 | 249 | // MC daughter eta inclusive |
9706bde3 | 250 | // THnSparse* fhnV0LambdaInclDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated |
251 | THnSparse* fhnV0LambdaInclDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed | |
7729cc34 | 252 | // in jets |
9706bde3 | 253 | TH2D* fh2V0LambdaInJetPtMCGen[fgkiNBinsCent]; //! |
254 | THnSparse* fh3V0LambdaInJetPtMassMCRec[fgkiNBinsCent]; //! | |
7729cc34 | 255 | // in jets eta-pT efficiency |
9706bde3 | 256 | THnSparse* fh3V0LambdaInJetEtaPtMCGen[fgkiNBinsCent]; //! |
257 | THnSparse* fh4V0LambdaInJetEtaPtMassMCRec[fgkiNBinsCent]; //! | |
7729cc34 | 258 | // MC daughter eta in JC |
9706bde3 | 259 | // THnSparse* fhnV0LambdaInJetsDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated |
260 | THnSparse* fhnV0LambdaInJetsDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed | |
7729cc34 | 261 | |
262 | // resolution | |
9706bde3 | 263 | TH2D* fh2V0LambdaMCResolMPt[fgkiNBinsCent]; //! |
264 | TH2D* fh2V0LambdaMCPtGenPtRec[fgkiNBinsCent]; //! | |
7729cc34 | 265 | // feed-down |
9706bde3 | 266 | THnSparseD* fhnV0LambdaInclMCFD[fgkiNBinsCent]; //! |
267 | THnSparseD* fhnV0LambdaInJetsMCFD[fgkiNBinsCent]; //! | |
268 | THnSparseD* fhnV0LambdaBulkMCFD[fgkiNBinsCent]; //! | |
269 | TH1D* fh1V0XiPtMCGen[fgkiNBinsCent]; //! | |
7729cc34 | 270 | |
271 | // ALambda | |
9706bde3 | 272 | TH1D* fh1V0CounterCentALambda[fgkiNBinsCent]; //! number of ALambda candidates after various cuts |
273 | TH1D* fh1V0InvMassALambdaAll[fgkiNCategV0]; //! | |
274 | TH2D* fh2QAV0EtaPtALambdaPeak[fgkiNQAIndeces]; //! | |
275 | TH2D* fh2QAV0EtaEtaALambda[fgkiNQAIndeces]; //! | |
276 | TH2D* fh2QAV0PhiPhiALambda[fgkiNQAIndeces]; //! | |
277 | TH1D* fh1QAV0RapALambda[fgkiNQAIndeces]; //! | |
278 | TH2D* fh2QAV0PtPtALambdaPeak[fgkiNQAIndeces]; //! | |
279 | TH2D* fh2ArmPodALambda[fgkiNQAIndeces]; //! | |
280 | TH1D* fh1V0CandPerEventCentALambda[fgkiNBinsCent]; //! | |
281 | TH1D* fh1V0InvMassALambdaCent[fgkiNBinsCent]; //! | |
282 | TH1D* fh1V0ALambdaPt[fgkiNBinsCent]; //! | |
7729cc34 | 283 | // ALambda Inclusive |
9706bde3 | 284 | THnSparse* fhnV0InclusiveALambda[fgkiNBinsCent]; //! |
7729cc34 | 285 | // ALambda Cones |
9706bde3 | 286 | THnSparse* fhnV0InJetALambda[fgkiNBinsCent]; //! |
287 | THnSparse* fhnV0InPerpALambda[fgkiNBinsCent]; //! | |
288 | THnSparse* fhnV0InRndALambda[fgkiNBinsCent]; //! | |
289 | THnSparse* fhnV0InMedALambda[fgkiNBinsCent]; //! | |
290 | THnSparse* fhnV0OutJetALambda[fgkiNBinsCent]; //! | |
291 | THnSparse* fhnV0NoJetALambda[fgkiNBinsCent]; //! | |
292 | ||
293 | TH2D* fh2V0PtJetAngleALambda[fgkiNBinsCent]; //! | |
294 | TH1D* fh1DCAInALambda[fgkiNBinsCent]; //! | |
295 | TH1D* fh1DCAOutALambda[fgkiNBinsCent]; //! | |
296 | TH1D* fh1DeltaZALambda[fgkiNBinsCent]; //! | |
7729cc34 | 297 | // MC histograms |
298 | // inclusive | |
9706bde3 | 299 | TH1D* fh1V0ALambdaPtMCGen[fgkiNBinsCent]; //! |
300 | TH1D* fh1V0ALambdaPtMCRec[fgkiNBinsCent]; //! | |
301 | TH2D* fh2V0ALambdaPtMassMCRec[fgkiNBinsCent]; //! | |
302 | TH1D* fh1V0ALambdaPtMCRecFalse[fgkiNBinsCent]; //! | |
7729cc34 | 303 | // inclusive eta-pT efficiency |
9706bde3 | 304 | TH2D* fh2V0ALambdaEtaPtMCGen[fgkiNBinsCent]; //! |
305 | THnSparse* fh3V0ALambdaEtaPtMassMCRec[fgkiNBinsCent]; //! | |
7729cc34 | 306 | // MC daughter eta inclusive |
9706bde3 | 307 | // THnSparse* fhnV0ALambdaInclDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated |
308 | THnSparse* fhnV0ALambdaInclDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed | |
7729cc34 | 309 | // in jets |
9706bde3 | 310 | TH2D* fh2V0ALambdaInJetPtMCGen[fgkiNBinsCent]; //! |
311 | TH2D* fh2V0ALambdaInJetPtMCRec[fgkiNBinsCent]; //! | |
312 | THnSparse* fh3V0ALambdaInJetPtMassMCRec[fgkiNBinsCent]; //! | |
7729cc34 | 313 | // in jets eta-pT efficiency |
9706bde3 | 314 | THnSparse* fh3V0ALambdaInJetEtaPtMCGen[fgkiNBinsCent]; //! |
315 | THnSparse* fh4V0ALambdaInJetEtaPtMassMCRec[fgkiNBinsCent]; //! | |
7729cc34 | 316 | // MC daughter eta in JC |
9706bde3 | 317 | // THnSparse* fhnV0ALambdaInJetsDaughterEtaPtPtMCGen[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 generated |
318 | THnSparse* fhnV0ALambdaInJetsDaughterEtaPtPtMCRec[fgkiNBinsCent]; //! eta_daughter-pt_daughter-pt_V0 reconstructed | |
7729cc34 | 319 | |
320 | // resolution | |
9706bde3 | 321 | TH2D* fh2V0ALambdaMCResolMPt[fgkiNBinsCent]; //! |
322 | TH2D* fh2V0ALambdaMCPtGenPtRec[fgkiNBinsCent]; //! | |
7729cc34 | 323 | // feed-down |
9706bde3 | 324 | THnSparseD* fhnV0ALambdaInclMCFD[fgkiNBinsCent]; //! |
325 | THnSparseD* fhnV0ALambdaInJetsMCFD[fgkiNBinsCent]; //! | |
326 | THnSparseD* fhnV0ALambdaBulkMCFD[fgkiNBinsCent]; //! | |
327 | TH1D* fh1V0AXiPtMCGen[fgkiNBinsCent]; //! | |
328 | ||
329 | TH1D* fh1QAV0Pt[fgkiNQAIndeces]; //! pt | |
330 | TH1D* fh1QAV0Charge[fgkiNQAIndeces]; //! charge | |
331 | TH1D* fh1QAV0DCAVtx[fgkiNQAIndeces]; //! DCA of daughters to prim vtx | |
332 | TH1D* fh1QAV0DCAV0[fgkiNQAIndeces]; //! DCA between daughters | |
333 | TH1D* fh1QAV0Cos[fgkiNQAIndeces]; //! cosine of pointing angle (CPA) | |
334 | TH1D* fh1QAV0R[fgkiNQAIndeces]; //! radial distance between prim vtx and decay vertex | |
335 | TH1D* fh1QACTau2D[fgkiNQAIndeces]; //! lifetime calculated in xy | |
336 | TH1D* fh1QACTau3D[fgkiNQAIndeces]; //! lifetime calculated in xyz | |
337 | TH2D* fh2ArmPod[fgkiNQAIndeces]; //! Armenteros-Podolanski | |
338 | TH2D* fh2CCK0s; //! K0s candidates in Lambda peak | |
339 | TH2D* fh2CCLambda; //! Lambda candidates in K0s peak | |
340 | THnSparse* fh3CCMassCorrelBoth; //! mass correlation of candidates | |
341 | THnSparse* fh3CCMassCorrelKNotL; //! mass correlation of candidates | |
342 | THnSparse* fh3CCMassCorrelLNotK; //! mass correlation of candidates | |
7729cc34 | 343 | |
344 | // Cut tuning | |
345 | // crossed/findable, daughter pt, dca, cpa, r, pseudorapidity, y, decay length, PID sigma | |
9706bde3 | 346 | TH2D* fh2CutTPCRowsK0s[fgkiNQAIndeces]; //! inv mass vs TPC rows |
347 | TH2D* fh2CutTPCRowsLambda[fgkiNQAIndeces]; //! | |
348 | TH2D* fh2CutPtPosK0s[fgkiNQAIndeces]; //! inv mass vs pt of positive daughter | |
349 | TH2D* fh2CutPtNegK0s[fgkiNQAIndeces]; //! inv mass vs pt of negative daughter | |
350 | TH2D* fh2CutPtPosLambda[fgkiNQAIndeces]; //! | |
351 | TH2D* fh2CutPtNegLambda[fgkiNQAIndeces]; //! | |
352 | TH2D* fh2CutDCAVtx[fgkiNQAIndeces]; //! inv mass vs DCA of daughters to prim vtx | |
353 | TH2D* fh2CutDCAV0[fgkiNQAIndeces]; //! inv mass vs DCA between daughters | |
354 | TH2D* fh2CutCos[fgkiNQAIndeces]; //! inv mass vs CPA | |
355 | TH2D* fh2CutR[fgkiNQAIndeces]; //! inv mass vs R | |
356 | TH2D* fh2CutEtaK0s[fgkiNQAIndeces]; //! inv mass vs pseudorapidity | |
357 | TH2D* fh2CutEtaLambda[fgkiNQAIndeces]; //! | |
358 | TH2D* fh2CutRapK0s[fgkiNQAIndeces]; //! inv mass vs rapidity | |
359 | TH2D* fh2CutRapLambda[fgkiNQAIndeces]; //! | |
360 | TH2D* fh2CutCTauK0s[fgkiNQAIndeces]; //! inv mass vs lifetime | |
361 | TH2D* fh2CutCTauLambda[fgkiNQAIndeces]; //! | |
362 | TH2D* fh2CutPIDPosK0s[fgkiNQAIndeces]; //! inv mass vs number of dE/dx sigmas for positive daughter | |
363 | TH2D* fh2CutPIDNegK0s[fgkiNQAIndeces]; //! inv mass vs number of dE/dx sigmas for negative daughter | |
364 | TH2D* fh2CutPIDPosLambda[fgkiNQAIndeces]; //! | |
365 | TH2D* fh2CutPIDNegLambda[fgkiNQAIndeces]; //! | |
366 | ||
367 | TH2D* fh2Tau3DVs2D[fgkiNQAIndeces]; //! pt vs ratio 3D lifetime / 2D lifetime | |
7729cc34 | 368 | |
369 | AliAnalysisTaskV0sInJets(const AliAnalysisTaskV0sInJets&); // not implemented | |
370 | AliAnalysisTaskV0sInJets& operator=(const AliAnalysisTaskV0sInJets&); // not implemented | |
371 | ||
372 | ClassDef(AliAnalysisTaskV0sInJets, 3) // example of analysis | |
373 | }; | |
374 | ||
375 | #endif |