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Add AD0 (AD) in the shuttle interface class
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1/**************************************************************************
2 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
3 * *
4 * Author: The ALICE Off-line Project. *
5 * Contributors are mentioned in the code where appropriate. *
6 * *
7 * Permission to use, copy, modify and distribute this software and its *
8 * documentation strictly for non-commercial purposes is hereby granted *
9 * without fee, provided that the above copyright notice appears in all *
10 * copies and that both the copyright notice and this permission notice *
11 * appear in the supporting documentation. The authors make no claims *
12 * about the suitability of this software for any purpose. It is *
13 * provided "as is" without express or implied warranty. *
14 **************************************************************************/
15
16//-----------------------------------------------------------------------
17// This class stores QA variables as function of pT for different type
18// of tracks and track selection criteria
19// Author : Marta Verweij - UU
20//-----------------------------------------------------------------------
21
22#ifndef ALIPWG4HIGHPTTRACKQA_H
23#define ALIPWG4HIGHPTTRACKQA_H
24
25#include "AliAnalysisTaskSE.h"
26
27class TH1F;
28class TH2F;
29class TH3F;
30class TProfile;
31class TList;
32class TArrayF;
33
34class AliVEvent;
35class AliESDEvent;
36class AliESDtrackCuts;
37class AliESDVertex;
38class AliAODVertex;
39class AliAODTrack;
40class AliESDtrack;
41
42class AliGenPythiaEventHeader;
43class AliMCEvent;
44//class AliAnalysisHelperJetTasks;
45
46class AliPWG4HighPtTrackQA: public AliAnalysisTaskSE {
47
48 public:
49 AliPWG4HighPtTrackQA();
50 AliPWG4HighPtTrackQA(const char *name);
51 virtual ~AliPWG4HighPtTrackQA() {;}
52
53 // virtual void ConnectInputData(Option_t *);
54 virtual void UserCreateOutputObjects();
55 virtual void UserExec(Option_t *option);
56 virtual void Terminate(Option_t *);
57 virtual Bool_t Notify(); //Copied from AliAnalysisTaskJetSpectrum2
58
59 enum DataType {kESD,kAOD};
60
61 Bool_t IsPbPb() {return fIsPbPb;} //is PbPb data?
62 Bool_t SelectEvent(); //decides if event is used for analysis
63 Int_t CalculateCentrality(AliVEvent *ev);
64 Int_t CalculateCentrality(AliESDEvent *esd);
65 Int_t CalculateCentrality(const AliAODEvent *aod);
66 Int_t GetCentralityClass(Float_t cent=-1.) const;
67 void DoAnalysisESD();
68 void DoAnalysisAOD();
69 void FillHistograms();
70
71 //Setters
72 void SetDataType(DataType d) {fDataType = d;}
73 void SetIsPbPb(Bool_t cs) {fIsPbPb = cs;}
74 void SetCentralityClass(int cent) {fCentClass=cent;}
75 void SetCuts(AliESDtrackCuts* trackCuts) {fTrackCuts = trackCuts;}
76 void SetCutsITSLoose(AliESDtrackCuts* trackCuts) {fTrackCutsITSLoose = trackCuts;}
77 void SetCutsTPConly(AliESDtrackCuts* trackCuts) {fTrackCutsTPConly = trackCuts;}
78 void SetTrackType(Int_t trackType) {fTrackType = trackType;}
79 void SetFilterMask(UInt_t filterMask) {fFilterMask = filterMask ;}
80 void SetIncludeNoITS(Bool_t f) {fIncludeNoITS = f ; }
81
82 void SetSigmaConstrainedMax(Double_t sigma) {fSigmaConstrainedMax=sigma;}
83 void SetPtMax(Float_t ptmax) {fPtMax = ptmax;}
84 void SetPtBinEdges(Int_t region, Double_t ptmax, Double_t ptBinWidth);
85 void SetNVariables(Int_t nv) {fNVariables = nv;}
86
87 Float_t GetPtMax() {return fPtMax;}
88 Float_t GetTPCClusterInfo(const AliAODTrack *tr,Int_t nNeighbours=3, Int_t type=0, Int_t row0=0, Int_t row1=159, Bool_t useFitMap=kFALSE) const;
89 Float_t GetTPCClusterInfoFitMap(const AliESDtrack *tr,Int_t nNeighbours=3, Int_t type=0, Int_t row0=0, Int_t row1=159) const;
90 Int_t GetTrackLengthTPC(const AliESDtrack *track) const;
91 Int_t GetTrackLengthTPC(const AliAODTrack *track) const;
92 Float_t GetGoldenChi2(AliESDtrack *origtrack);
93 Float_t GetGGCChi2(AliESDtrack *origtrack);
94
95 static AliGenPythiaEventHeader* GetPythiaEventHeader(const AliMCEvent *mcEvent);
96 static Bool_t PythiaInfoFromFile(const char* currFile,Float_t &fXsec,Float_t &fTrials);// get the cross section and the trails either from pyxsec.root or from pysec_hists.root
97
98 protected:
99
100 private:
101 AliPWG4HighPtTrackQA(const AliPWG4HighPtTrackQA&);
102 AliPWG4HighPtTrackQA& operator=(const AliPWG4HighPtTrackQA&);
103
104 DataType fDataType; // kESD or kAOD
105
106 AliVEvent *fEvent; //! AliVEvent object
107 AliESDEvent *fESD; //! ESD object
108 const AliESDVertex *fVtx; //! vertex object
109 const AliAODVertex *fVtxAOD; //! vertex object AOD
110
111 AliESDtrackCuts *fTrackCuts; // TrackCuts
112 AliESDtrackCuts *fTrackCutsITSLoose; // Loose ITS track cuts
113 AliESDtrackCuts *fTrackCutsTPConly; // TPC track cuts
114 Int_t fTrackType; // 0: global track; 1:TPConly track 2: TPConly constrained track 3: global ITSrefit 4: TPConly constrained track with QA selection based on global track
115 UInt_t fFilterMask; // Select tracks from specific track cuts belonging to certain filter mask for AOD analysis
116 Bool_t fIncludeNoITS; // includes tracks with failed ITS refit
117
118 Double_t fSigmaConstrainedMax; // max sigma on constrained fit
119 Float_t fPtMax; // Maximum pT for histograms
120 Float_t fPtBinEdges[3][2]; // 3 regions total with different binning for pT axis of histos
121
122 Bool_t fIsPbPb; // kTRUE if PbPb
123 Int_t fCentClass; // Select only events from predefined centrality class
124
125
126 /*
127 QA variables stored in TArrayF *fVariables
128 0: pt
129 1: phi
130 2: eta
131 3: dca2D
132 4: dcaZ
133 5: nClustersTPC
134 6: nPointITS
135 7: chi2C
136 8: nSigmaToVertex
137 9: relUncertainty1Pt
138 10: chi2PerClusterTPC
139 11: #crossed rows
140 12: (#crossed rows)/(#findable clusters)
141 13: SigmaY2
142 14: SigmaZ2
143 15: SigmaSnp2
144 16: SigmaTgl2
145 17: Sigma1Pt2
146 18: NClustersTPCIter1
147 19: TPCChi2Iter1
148 20: NClustersTPCShared
149 21: Chi2Gold (TPC constrained vs global)
150 22: Chi2GGC (global constrained vs global)
151 23: NCrossed rows from fit map
152 24: (#crossed rows)/(#findable clusters) from fit map
153 */
154
155 Int_t fNVariables; // Number of variables
156 TArrayF *fVariables; // QA variables
157
158 UChar_t fITSClusterMap; // map of clusters, one bit per a layer
159
160 Float_t fAvgTrials; // Average number of trials
161
162 TH1F *fNEventAll; //! Event counter
163 TH1F *fNEventSel; //! Event counter
164 TH1F *fNEventReject; //! Book keeping of reason of rejecting events
165
166 TH1F *fh1Centrality; //! Centrality
167
168 TProfile* fh1Xsec; //! pythia cross section and trials
169 TH1F* fh1Trials; //! trials which are added
170 TH1F* fh1PtHard; //! pt hard of the event
171 TH1F* fh1PtHardTrials; //! pt hard of the event
172
173 TH1F *fh1NTracksAll; //! All tracks
174 TH1F *fh1NTracksReject; //! Reason why track was rejected
175 TH1F *fh1NTracksSel; //! Number of accepted tracks
176
177 TH1F *fPtAll; //! Pt spectrum all charged particles
178 TH1F *fPtSel; //! Pt spectrum all selected charged particles by fTrackCuts
179 TH2F *fPtPhi; //! Pt vs Phi
180 TH2F *fPtEta; //! Pt vs Eta
181 TH3F *fPtEtaPhi; //! Pt vs Eta vs Phi
182 TH2F *fPtDCA2D; //! Pt vs DCA2D
183 TH2F *fPtDCAZ; //! Pt vs DCAZ
184 TH2F *fPtNClustersTPC; //! Pt vs nClustersTPC
185 TH2F *fPtNClustersTPCPhi; //! Phi vs nClustersTPC
186 TH2F *fPtNClustersTPCIter1; //! Pt vs nClustersTPCIter1
187 TH3F *fPtNClustersTPCIter1Phi; //! Pt vs nClustersTPCIter1 vs Phi
188 TH2F *fPtNClustersTPCShared; //! Pt vs nClustersTPCShared
189 TH2F *fPtNClustersTPCSharedFrac; //! Pt vs nClustersTPCSharedFrac
190 TH2F *fPtNPointITS; //! Pt vs nPointITS
191 TH3F *fPtNPointITSPhi; //! Pt vs nPointITS vs phi
192 TH2F *fPtChi2C; //! Pt vs Chi2C
193 TH2F *fPtNSigmaToVertex; //! Pt vs nSigmaToVertex
194
195 TH2F *fPtRelUncertainty1Pt; //! Pt vs relUncertainty1Pt
196 TH3F *fPtRelUncertainty1PtNClus; //! Pt vs relUncertainty1Pt vs NClustersTPC
197 TH3F *fPtRelUncertainty1PtNClusIter1; //! Pt vs relUncertainty1Pt vs NClustersTPCIter1
198 TH3F *fPtRelUncertainty1PtNPointITS; //! Pt vs relUncertainty1Pt vs NPointITS
199 TH3F *fPtRelUncertainty1PtITSClusterMap; //! Pt vs relUncertainty1Pt vs byte of ITS clustermap
200
201 TH3F *fPtRelUncertainty1PtChi2; //! Pt vs relUncertainty1Pt vs Chi2TPC/NClus
202 TH3F *fPtRelUncertainty1PtChi2Iter1; //! Pt vs relUncertainty1Pt vs Chi2TPC/NClusIter1
203 TH3F *fPtRelUncertainty1PtPhi; //! Pt vs relUncertainty1PtPhi
204
205 TH2F *fPtChi2PerClusterTPC; //! Pt vs Chi2PerClusterTPC
206 TH2F *fPtChi2PerClusterTPCIter1; //! Pt vs Chi2PerClusterTPCIter1
207 TH2F *fPtNCrossedRows; //! Pt vs NCrossedRows
208 TH3F *fPtNCrossedRowsPhi; //! Pt vs NCrossedRows vs Phi
209 TH3F *fPtNCrossedRowsNClusFPhi; //! Pt vs NCrossedRows/NClusF vs Phi
210 TH3F *fPtNCrRNCrRNClusF; //! Pt vs NCrossedRows vs NCrossedRows/NClusF
211 TH2F *fPtNCrossedRowsFit; //! Pt vs NCrossedRows from NClusterFitMap
212 TH3F *fPtNCrossedRowsFitPhi; //! Pt vs NCrossedRows from FitMap vs Phi
213 TH3F *fPtNCrossedRowsNClusFFitPhi; //! Pt vs NCrossedRows/NClusF from NClusterFitMap
214 TH2F *fNCrossedRowsNCrossedRowsFit; //! NCrossedRows from ClusterMap vs NCrossedRows from NClusterFitMap
215 TH2F *fNClustersNCrossedRows; //! NClusters vs NCrossedRows
216 TH2F *fNClustersNCrossedRowsFit; //! NClusters vs NCrossedRows from fit map
217 TH3F *fPtNClustersNClustersFitMap; //! pT vs ncls vs ncls from fit map
218 TH3F *fPtRelUncertainty1PtNCrossedRows; //! Pt vs relUncertainty1Pt vs NCrossedRows
219 TH3F *fPtRelUncertainty1PtNCrossedRowsFit; //! Pt vs relUncertainty1Pt vs NCrossedRowsFitMap
220
221 TH2F *fPtChi2Gold; //! Pt vs Chi2 between global and TPC constrained track
222 TH2F *fPtChi2GGC; //! Pt vs Chi2 between global and global constrained track
223 TH3F *fPtChi2GoldPhi; //! Pt vs Chi2 between global and TPC constrained track vs phi
224 TH3F *fPtChi2GGCPhi; //! Pt vs Chi2 between global and global constrained track vs phi
225 TH2F *fChi2GoldChi2GGC; //! Correlations between gold chi2 and GGC chi2
226
227 TH3F *fPtChi2ITSPhi; //! Pt vs ITS chi2 vs phi
228
229 //histos for covariance matrix elements
230 TH2F *fPtSigmaY2; //! 1/Pt vs sigma(y) extCov[0]
231 TH2F *fPtSigmaZ2; //! 1/Pt vs sigma(z) extCov[2]
232 TH2F *fPtSigmaSnp2; //! 1/Pt vs sigma(Snp) extCov[5]
233 TH2F *fPtSigmaTgl2; //! 1/Pt vs sigma(Tgl) extCov[9]
234 TH2F *fPtSigma1Pt2; //! 1/Pt vs sigma(1/pT) extCov[14]
235
236 //profiles for covariance matrix elements
237 TProfile *fProfPtSigmaY2; //! 1/Pt vs sigma(y) extCov[0]
238 TProfile *fProfPtSigmaZ2; //! 1/Pt vs sigma(z) extCov[2]
239 TProfile *fProfPtSigmaSnp2; //! 1/Pt vs sigma(Snp) extCov[5]
240 TProfile *fProfPtSigmaTgl2; //! 1/Pt vs sigma(Tgl) extCov[9]
241 TProfile *fProfPtSigma1Pt2; //! 1/Pt vs sigma(1/pT) extCov[14]
242
243 TProfile *fProfPtSigma1Pt; //! pT vs sigma(1/Pt)
244 TProfile *fProfPtPtSigma1Pt; //! pT vs pT*sigma(1/Pt)
245
246 TList *fHistList; //! List of Histograms
247
248 ClassDef(AliPWG4HighPtTrackQA,8)
249};
250#endif