1 /**************************************************************************
2 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
4 * Author: The ALICE Off-line Project. *
5 * Contributors are mentioned in the code where appropriate. *
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 **************************************************************************/
16 // The class AliCFTrackQualityCuts is designed to select reconstructed tracks
17 // of high quality and to provide corresponding QA histograms.
18 // This class inherits from the Analysis' Framework abstract base class
19 // AliAnalysisCuts and is a part of the Correction Framework.
20 // This class acts on single, reconstructed tracks, it is applicable on
22 // It mainly consists of a IsSelected function that returns a boolean.
23 // This function checks whether the considered track passes a set of cuts:
24 // - number of clusters in the ITS
25 // - number of clusters in the TPC
26 // - number of clusters in the TRD
27 // - ratio of found / finable number of clusters in the TPC
28 // - number of tracklets in the TRD
29 // - number TRD tracklets used for pid
30 // - chi2 / cluster in the ITS
31 // - chi2 / cluster in the TPC
32 // - chi2 / tracklet in the TRD
33 // - number of clusters in the TPC used for dEdx calculation
34 // - covariance matrix diagonal elements
35 // - track status (cf AliESDtrack.h)
37 // The cut values for these cuts are set with the corresponding set functions.
38 // All cut classes provided by the correction framework are supposed to be
39 // added in the Analysis Framwork's class AliAnalysisFilter and applied by
40 // the filter via a loop.
42 // author: I. Kraus (Ingrid.Kraus@cern.ch)
44 // AliESDtrackCuts writte by Jan Fiete Grosse-Oetringhaus and
45 // AliRsnDaughterCut class written by A. Pulvirenti.
47 #ifndef ALICFTRACKQUALITYCUTS_H
48 #define ALICFTRACKQUALITYCUTS_H
50 #include "AliCFCutBase.h"
56 class AliESDtrackCuts;
58 class AliCFTrackQualityCuts : public AliCFCutBase
61 AliCFTrackQualityCuts() ;
62 AliCFTrackQualityCuts(Char_t* name, Char_t* title) ;
63 AliCFTrackQualityCuts(const AliCFTrackQualityCuts& c) ;
64 AliCFTrackQualityCuts& operator=(const AliCFTrackQualityCuts& c) ;
65 ~AliCFTrackQualityCuts();
66 void Copy(TObject &c) const;
68 Bool_t IsSelected(TObject* obj);
69 Bool_t IsSelected(TList* /*list*/) {return kTRUE;}
72 void SetMinNClusterTPC(Int_t cluster=-1) {fMinNClusterTPC = cluster;}
73 void SetMinNClusterITS(Int_t cluster=-1) {fMinNClusterITS = cluster;}
74 void SetMinNClusterTRD(Int_t cluster=-1) {fMinNClusterTRD = cluster;}
75 void SetMinFoundClusterTPC(Double_t fraction=-1) {fMinFoundClusterTPC = fraction;}
76 void SetMinNTrackletTRD(Int_t tracklet=-1) {fMinNTrackletTRD = tracklet;}
77 void SetMinNTrackletTRDpid(Int_t tracklet=-1) {fMinNTrackletTRDpid = tracklet;}
78 void SetMaxChi2PerClusterTPC(Double_t chi=1.e+09) {fMaxChi2PerClusterTPC = chi;}
79 void SetMaxChi2PerClusterITS(Double_t chi=1.e+09) {fMaxChi2PerClusterITS = chi;}
80 void SetMaxChi2PerTrackletTRD(Double_t chi=1.e+09) {fMaxChi2PerTrackletTRD = chi;}
81 void SetMinNdEdxClusterTPC(UShort_t cluster=0) {fMinNdEdxClusterTPC = cluster;}
82 void SetMaxCovDiagonalElements(Float_t c1=1.e+09, Float_t c2=1.e+09, Float_t c3=1.e+09, Float_t c4=1.e+09, Float_t c5=1.e+09)
83 {fCovariance11Max=c1;fCovariance22Max=c2;fCovariance33Max=c3;fCovariance44Max=c4;fCovariance55Max=c5;}
84 void SetStatus(ULong_t status=0) {fStatus = status ;}
87 void DrawHistograms(Bool_t drawLogScale=kTRUE);
88 void SaveHistograms(const Char_t* dir = 0);
89 void AddQAHistograms(TList *qaList);
90 // QA histogram setter
91 // please use indices from the enumeration below
92 void SetHistogramBins(Int_t index, Int_t nbins, Double_t *bins);
93 void SetHistogramBins(Int_t index, Int_t nbins, Double_t xmin, Double_t xmax);
95 // indeces/counters for single selections
97 kCutClusterTPC=0, // number of clusters in TPC
98 kCutClusterITS, // number of clusters in ITS
99 kCutClusterTRD, // number of clusters in TRD
100 kCutMinFoundClusterTPC, // ratio found / findable number of clusters in TPC
101 kCutTrackletTRD, // number of tracklets in TRD
102 kCutTrackletTRDpid, // tracklets for TRD pid
103 kCutChi2TPC, // chi2 per cluster in TPC
104 kCutChi2ITS, // chi2 per cluster in ITS
105 kCutChi2TRD, // chi2 per cluster in TRD
106 kCutdEdxClusterTPC, // number of points used for dEdx
107 kCutCovElement11, // diagonal element 11 of covariance matrix
108 kCutCovElement22, // diagonal element 22 of covariance matrix
109 kCutCovElement33, // diagonal element 33 of covariance matrix
110 kCutCovElement44, // diagonal element 44 of covariance matrix
111 kCutCovElement55, // diagonal element 55 of covariance matrix
112 kCutStatus, // track status
113 kNCuts, // number of single selections
114 kNStepQA=2, // number of QA steps (before/after the cuts)
115 kNHist=15 // number of QA histograms
119 void SelectionBitMap(TObject* obj);
120 void DefineHistograms(); // books histograms and TList
121 void Initialise(); // sets everything to 0
122 void FillHistograms(TObject* obj, Bool_t b);
123 // Fills histograms before and after cuts
124 Int_t fMinNClusterTPC; // min number of clusters in TPC
125 Int_t fMinNClusterITS; // min number of clusters in ITS
126 Double_t fMinNClusterTRD; // min number of clusters in TRD
127 Double_t fMinFoundClusterTPC; // min ratio found / findable number of clusters in TPC
128 Double_t fMinNTrackletTRD; // min number of tracklets in TRD
129 Double_t fMinNTrackletTRDpid; // min number of tracklets for TRD pid
130 Double_t fMaxChi2PerClusterTPC; // max chi2 per clusters in TPC
131 Double_t fMaxChi2PerClusterITS; // max chi2 per clusters in ITS
132 Double_t fMaxChi2PerTrackletTRD; // max chi2 per clusters in TRD
133 UShort_t fMinNdEdxClusterTPC; // number of points used for dEdx
134 Double_t fCovariance11Max ; // max covariance matrix element 11
135 Double_t fCovariance22Max ; // max covariance matrix element 22
136 Double_t fCovariance33Max ; // max covariance matrix element 33
137 Double_t fCovariance44Max ; // max covariance matrix element 44
138 Double_t fCovariance55Max ; // max covariance matrix element 55
140 ULong_t fStatus; // track status
142 TH1F* fhCutStatistics; // Histogram: statistics of what cuts the tracks did not survive
143 TH2F* fhCutCorrelation; // Histogram: 2d statistics plot
145 TH1F* fhQA[kNHist][kNStepQA]; // QA Histograms
146 TBits *fBitmap ; // stores single selection decisions
147 AliESDtrackCuts *fTrackCuts; // use some functionality from this class
149 // QA histogram setters
150 Int_t fhNBinsClusterTPC; // number of bins+1: cluster TPC
151 Int_t fhNBinsClusterITS; // number of bins+1: cluster ITS
152 Int_t fhNBinsClusterTRD; // number of bins+1: cluster TRD
153 Int_t fhNBinsFoundClusterTPC; // number of bins+1: ratio found / findable number of clusters in TPC
154 Int_t fhNBinsTrackletTRD; // number of bins+1: number of tracklets in TRD
155 Int_t fhNBinsTrackletTRDpid; // number of bins+1: number of tracklets for TRD pid
156 Int_t fhNBinsChi2TPC; // number of bins+1: chi2 per cluster TPC
157 Int_t fhNBinsChi2ITS; // number of bins+1: chi2 per cluster ITS
158 Int_t fhNBinsChi2TRD; // number of bins+1: chi2 per cluster TRD
159 Int_t fhNBinsdEdxClusterTPC; // number of bins+1: cluster TPC used for dEdx
160 Int_t fhNBinsCovariance11; // number of bins+1: covariance matrix element 11
161 Int_t fhNBinsCovariance22; // number of bins+1: covariance matrix element 22
162 Int_t fhNBinsCovariance33; // number of bins+1: covariance matrix element 33
163 Int_t fhNBinsCovariance44; // number of bins+1: covariance matrix element 44
164 Int_t fhNBinsCovariance55; // number of bins+1: covariance matrix element 55
166 Double_t *fhBinLimClusterTPC; //[fhNBinsClusterTPC] bin limits: cluster TPC
167 Double_t *fhBinLimClusterITS; //[fhNBinsClusterITS] bin limits: cluster ITS
168 Double_t *fhBinLimClusterTRD; //[fhNBinsClusterTRD] bin limits: cluster TRD
169 Double_t *fhBinLimFoundClusterTPC;//[fhNBinsFoundClusterTPC] bin limits: ratio found / findable number of clusters in TPC
170 Double_t *fhBinLimTrackletTRD; //[fhNBinsTrackletTRD] bin limits: number of tracklets in TRD
171 Double_t *fhBinLimTrackletTRDpid; //[fhNBinsTrackletTRDpid] bin limits: number of tracklets for TRD pid
172 Double_t *fhBinLimChi2TPC; //[fhNBinsChi2TPC] bin limits: chi2 per cluster TPC
173 Double_t *fhBinLimChi2ITS; //[fhNBinsChi2ITS] bin limits: chi2 per cluster ITS
174 Double_t *fhBinLimChi2TRD; //[fhNBinsChi2TRD] bin limits: chi2 per cluster TRD
175 Double_t *fhBinLimdEdxClusterTPC; //[fhNBinsdEdxClusterTPC] bin limits: cluster TPC used for dEdx
176 Double_t *fhBinLimCovariance11;//[fhNBinsCovariance11] bin limits: covariance matrix element 11
177 Double_t *fhBinLimCovariance22;//[fhNBinsCovariance22] bin limits: covariance matrix element 22
178 Double_t *fhBinLimCovariance33;//[fhNBinsCovariance33] bin limits: covariance matrix element 33
179 Double_t *fhBinLimCovariance44;//[fhNBinsCovariance44] bin limits: covariance matrix element 44
180 Double_t *fhBinLimCovariance55;//[fhNBinsCovariance55] bin limits: covariance matrix element 55
182 ClassDef(AliCFTrackQualityCuts,4);