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Added support for putting the analysis results in directories inside the output file.
[u/mrichter/AliRoot.git] / ANALYSIS / AliESDtrackCuts.h
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73318471 1//
2// Class for handling of ESD track cuts.
3//
4// The class manages a number of track quality cuts, a
5// track-to-vertex cut and a number of kinematic cuts. Two methods
6// can be used to figure out if an ESD track survives the cuts:
7// AcceptTrack which takes a single AliESDtrack as argument and
524916f0 8// returns kTRUE/kFALSE or GetAcceptedTracks which takes an AliESDEvent
73318471 9// object and returns an TObjArray (of AliESDtracks) with the tracks
10// in the ESD that survived the cuts.
11//
12//
524916f0 13// TODO:
73318471 14// - add functionality to save and load cuts
73318471 15// - add histograms for kinematic cut variables?
16// - upper and lower cuts for all (non-boolean) cuts
17// - update print method
73318471 18// - put comments to each variable
19//
20
21#ifndef ALIESDTRACKCUTS_H
22#define ALIESDTRACKCUTS_H
23
73318471 24#include "AliAnalysisCuts.h"
25
73318471 26class AliESDEvent;
27class AliESDtrack;
28class AliLog;
29class TTree;
d95684c0 30class TH1;
31class TH1F;
32class TH2F;
33class TF1;
34class TCollection;
73318471 35
36class AliESDtrackCuts : public AliAnalysisCuts
37{
38public:
94c06b89 39 enum ITSClusterRequirement { kOff = 0, kNone, kAny, kFirst, kOnlyFirst, kSecond, kOnlySecond, kBoth };
40 enum Detector { kSPD = 0, kSDD, kSSD };
41
73318471 42 AliESDtrackCuts(const Char_t* name = "AliESDtrackCuts", const Char_t* title = "");
43 virtual ~AliESDtrackCuts();
36853ddd 44
73318471 45 Bool_t IsSelected(TObject* obj)
46 {return AcceptTrack((AliESDtrack*)obj);}
264ebaac 47 Bool_t IsSelected(TList* /*list*/) {return kTRUE;}
36853ddd 48
73318471 49 Bool_t AcceptTrack(AliESDtrack* esdTrack);
74687314 50 TObjArray* GetAcceptedTracks(AliESDEvent* esd, Bool_t bTPC = kFALSE);
73318471 51 Int_t CountAcceptedTracks(AliESDEvent* esd);
1bf80d20 52
53 static Int_t GetReferenceMultiplicity(AliESDEvent* esd, Bool_t tpcOnly);
73318471 54
524916f0 55 static AliESDtrack* GetTPCOnlyTrack(AliESDEvent* esd, Int_t iTrack);
1bf80d20 56
57 // Standard cut definitions
58 static AliESDtrackCuts* GetStandardTPCOnlyTrackCuts();
524916f0 59
73318471 60 virtual Long64_t Merge(TCollection* list);
61 virtual void Copy(TObject &c) const;
62 AliESDtrackCuts(const AliESDtrackCuts& pd); // Copy Constructor
63 AliESDtrackCuts &operator=(const AliESDtrackCuts &c);
64
65 //######################################################
66 // track quality cut setters
67 void SetMinNClustersTPC(Int_t min=-1) {fCutMinNClusterTPC=min;}
68 void SetMinNClustersITS(Int_t min=-1) {fCutMinNClusterITS=min;}
94c06b89 69 void SetClusterRequirementITS(Detector det, ITSClusterRequirement req = kOff) { fCutClusterRequirementITS[det] = req; }
73318471 70 void SetMaxChi2PerClusterTPC(Float_t max=1e10) {fCutMaxChi2PerClusterTPC=max;}
71 void SetMaxChi2PerClusterITS(Float_t max=1e10) {fCutMaxChi2PerClusterITS=max;}
72 void SetRequireTPCRefit(Bool_t b=kFALSE) {fCutRequireTPCRefit=b;}
73 void SetRequireITSRefit(Bool_t b=kFALSE) {fCutRequireITSRefit=b;}
d95684c0 74 void SetRequireITSStandAlone(Bool_t b) {fCutRequireITSStandAlone = b;}
29387958 75 void SetAcceptKinkDaughters(Bool_t b=kTRUE) {fCutAcceptKinkDaughters=b;}
73318471 76 void SetMaxCovDiagonalElements(Float_t c1=1e10, Float_t c2=1e10, Float_t c3=1e10, Float_t c4=1e10, Float_t c5=1e10)
77 {fCutMaxC11=c1; fCutMaxC22=c2; fCutMaxC33=c3; fCutMaxC44=c4; fCutMaxC55=c5;}
025fb458 78 void SetMaxRel1PtUncertainty(Float_t max=1e10) {fCutMaxRel1PtUncertainty=max;}
73318471 79
80 // track to vertex cut setters
610e91ac 81 void SetMaxNsigmaToVertex(Float_t sigma=1e10) {fCutNsigmaToVertex = sigma; SetRequireSigmaToVertex(kTRUE);}
29387958 82 void SetRequireSigmaToVertex(Bool_t b=kTRUE) {fCutSigmaToVertexRequired = b;}
133a5e00 83 void SetMaxDCAToVertexXY(Float_t dist=1e10) {fCutMaxDCAToVertexXY = dist;}
84 void SetMaxDCAToVertexZ(Float_t dist=1e10) {fCutMaxDCAToVertexZ = dist;}
85 void SetMinDCAToVertexXY(Float_t dist=0.) {fCutMinDCAToVertexXY = dist;}
86 void SetMinDCAToVertexZ(Float_t dist=0.) {fCutMinDCAToVertexZ = dist;}
86f0e195 87 void SetDCAToVertex2D(Bool_t b=kFALSE) {fCutDCAToVertex2D = b;}
73318471 88
89 // getters
73318471 90
5ce43eaf 91 Int_t GetMinNClusterTPC() const { return fCutMinNClusterTPC;}
92 Int_t GetMinNClustersITS() const { return fCutMinNClusterITS;}
94c06b89 93 ITSClusterRequirement GetClusterRequirementITS(Detector det) const { return fCutClusterRequirementITS[det]; }
5ce43eaf 94 Float_t GetMaxChi2PerClusterTPC() const { return fCutMaxChi2PerClusterTPC;}
95 Float_t GetMaxChi2PerClusterITS() const { return fCutMaxChi2PerClusterITS;}
96 Bool_t GetRequireTPCRefit() const { return fCutRequireTPCRefit;}
97 Bool_t GetRequireITSRefit() const { return fCutRequireITSRefit;}
d95684c0 98 Bool_t GetRequireITSStandAlone() const { return fCutRequireITSStandAlone; }
58c4f3fb 99 Bool_t GetAcceptKinkDaughters() const { return fCutAcceptKinkDaughters;}
5ce43eaf 100 void GetMaxCovDiagonalElements(Float_t& c1, Float_t& c2, Float_t& c3, Float_t& c4, Float_t& c5)
101 {c1 = fCutMaxC11; c2 = fCutMaxC22; c3 = fCutMaxC33; c4 = fCutMaxC44; c5 = fCutMaxC55;}
025fb458 102 Float_t GetMaxRel1PtUncertainty() const { return fCutMaxRel1PtUncertainty;}
94c06b89 103 Float_t GetMaxNsigmaToVertex() const { return fCutNsigmaToVertex;}
133a5e00 104 Float_t GetMaxDCAToVertexXY() const { return fCutMaxDCAToVertexXY;}
105 Float_t GetMaxDCAToVertexZ() const { return fCutMaxDCAToVertexZ;}
106 Float_t GetMinDCAToVertexXY() const { return fCutMinDCAToVertexXY;}
107 Float_t GetMinDCAToVertexZ() const { return fCutMinDCAToVertexZ;}
86f0e195 108 Bool_t GetDCAToVertex2D() const { return fCutDCAToVertex2D;}
5ce43eaf 109 Bool_t GetRequireSigmaToVertex( ) const { return fCutSigmaToVertexRequired;}
5ac99092 110
1bf80d20 111 void GetPRange(Float_t& r1, Float_t& r2) const {r1=fPMin; r2=fPMax;}
112 void GetPtRange(Float_t& r1, Float_t& r2) const {r1=fPtMin; r2=fPtMax;}
113 void GetPxRange(Float_t& r1, Float_t& r2) const {r1=fPxMin; r2=fPxMax;}
114 void GetPyRange(Float_t& r1, Float_t& r2) const {r1=fPyMin; r2=fPyMax;}
115 void GetPzRange(Float_t& r1, Float_t& r2) const {r1=fPzMin; r2=fPzMax;}
116 void GetEtaRange(Float_t& r1, Float_t& r2) const {r1=fEtaMin; r2=fEtaMax;}
117 void GetRapRange(Float_t& r1, Float_t& r2) const {r1=fRapMin; r2=fRapMax;}
74687314 118
73318471 119 // track kinmatic cut setters
120 void SetPRange(Float_t r1=0, Float_t r2=1e10) {fPMin=r1; fPMax=r2;}
121 void SetPtRange(Float_t r1=0, Float_t r2=1e10) {fPtMin=r1; fPtMax=r2;}
122 void SetPxRange(Float_t r1=-1e10, Float_t r2=1e10) {fPxMin=r1; fPxMax=r2;}
123 void SetPyRange(Float_t r1=-1e10, Float_t r2=1e10) {fPyMin=r1; fPyMax=r2;}
124 void SetPzRange(Float_t r1=-1e10, Float_t r2=1e10) {fPzMin=r1; fPzMax=r2;}
125 void SetEtaRange(Float_t r1=-1e10, Float_t r2=1e10) {fEtaMin=r1; fEtaMax=r2;}
126 void SetRapRange(Float_t r1=-1e10, Float_t r2=1e10) {fRapMin=r1; fRapMax=r2;}
127
128 //######################################################
129 void SetHistogramsOn(Bool_t b=kFALSE) {fHistogramsOn = b;}
130 void DefineHistograms(Int_t color=1);
131 virtual Bool_t LoadHistograms(const Char_t* dir = 0);
132 void SaveHistograms(const Char_t* dir = 0);
133 void DrawHistograms();
134
57fddfbc 135 static Float_t GetSigmaToVertex(AliESDtrack* esdTrack);
73318471 136
137 static void EnableNeededBranches(TTree* tree);
138
139 // void SaveQualityCuts(Char_t* file)
140 // void LoadQualityCuts(Char_t* file)
141
d95684c0 142 TH1F* GetDZNormalized(Int_t i) const { return fhDZNormalized[i]; }
73318471 143
144protected:
145 void Init(); // sets everything to 0
94c06b89 146 Bool_t CheckITSClusterRequirement(ITSClusterRequirement req, Bool_t clusterL1, Bool_t clusterL2);
147
025fb458 148 enum { kNCuts = 32 };
73318471 149
150 //######################################################
151 // esd track quality cuts
152 static const Char_t* fgkCutNames[kNCuts]; //! names of cuts (for internal use)
153
154 Int_t fCutMinNClusterTPC; // min number of tpc clusters
155 Int_t fCutMinNClusterITS; // min number of its clusters
94c06b89 156
157 ITSClusterRequirement fCutClusterRequirementITS[3]; // detailed ITS cluster requirements for (SPD, SDD, SSD)
73318471 158
159 Float_t fCutMaxChi2PerClusterTPC; // max tpc fit chi2 per tpc cluster
160 Float_t fCutMaxChi2PerClusterITS; // max its fit chi2 per its cluster
161
162 Float_t fCutMaxC11; // max cov. matrix diag. elements (res. y^2)
163 Float_t fCutMaxC22; // max cov. matrix diag. elements (res. z^2)
164 Float_t fCutMaxC33; // max cov. matrix diag. elements (res. sin(phi)^2)
165 Float_t fCutMaxC44; // max cov. matrix diag. elements (res. tan(theta_dip)^2)
166 Float_t fCutMaxC55; // max cov. matrix diag. elements (res. 1/pt^2)
167
025fb458 168 Float_t fCutMaxRel1PtUncertainty; // max relative uncertainty of 1/pt
169
73318471 170 Bool_t fCutAcceptKinkDaughters; // accepting kink daughters?
171 Bool_t fCutRequireTPCRefit; // require TPC refit
172 Bool_t fCutRequireITSRefit; // require ITS refit
d95684c0 173 Bool_t fCutRequireITSStandAlone; // require ITS standalone tracks
73318471 174
175 // track to vertex cut
176 Float_t fCutNsigmaToVertex; // max number of estimated sigma from track-to-vertex
177 Bool_t fCutSigmaToVertexRequired; // cut track if sigma from track-to-vertex could not be calculated
133a5e00 178 Float_t fCutMaxDCAToVertexXY; // track-to-vertex cut in max absolute distance in xy-plane
179 Float_t fCutMaxDCAToVertexZ; // track-to-vertex cut in max absolute distance in z-plane
180 Float_t fCutMinDCAToVertexXY; // track-to-vertex cut on min absolute distance in xy-plane
181 Float_t fCutMinDCAToVertexZ; // track-to-vertex cut on min absolute distance in z-plane
182 Bool_t fCutDCAToVertex2D; // if true a 2D DCA cut is made. Tracks are accepted if sqrt((DCAXY / fCutMaxDCAToVertexXY)^2 + (DCAZ / fCutMaxDCAToVertexZ)^2) < 1 AND sqrt((DCAXY / fCutMinDCAToVertexXY)^2 + (DCAZ / fCutMinDCAToVertexZ)^2) > 1
73318471 183
184 // esd kinematics cuts
185 Float_t fPMin, fPMax; // definition of the range of the P
186 Float_t fPtMin, fPtMax; // definition of the range of the Pt
187 Float_t fPxMin, fPxMax; // definition of the range of the Px
188 Float_t fPyMin, fPyMax; // definition of the range of the Py
189 Float_t fPzMin, fPzMax; // definition of the range of the Pz
190 Float_t fEtaMin, fEtaMax; // definition of the range of the eta
191 Float_t fRapMin, fRapMax; // definition of the range of the y
192
193 //######################################################
194 // diagnostics histograms
195 Bool_t fHistogramsOn; // histograms on/off
196
197 TH1F* fhNClustersITS[2]; //->
198 TH1F* fhNClustersTPC[2]; //->
199
200 TH1F* fhChi2PerClusterITS[2]; //->
201 TH1F* fhChi2PerClusterTPC[2]; //->
202
203 TH1F* fhC11[2]; //->
204 TH1F* fhC22[2]; //->
205 TH1F* fhC33[2]; //->
206 TH1F* fhC44[2]; //->
207 TH1F* fhC55[2]; //->
208
025fb458 209 TH1F* fhRel1PtUncertainty[2]; //-> rel. uncertainty of 1/pt
210
73318471 211 TH1F* fhDXY[2]; //->
212 TH1F* fhDZ[2]; //->
86f0e195 213 TH1F* fhDXYDZ[2]; //-> absolute distance sqrt(dxy**2 + dz**2) to vertex; if 2D cut is set, normalized to given values
73318471 214 TH2F* fhDXYvsDZ[2]; //->
215
216 TH1F* fhDXYNormalized[2]; //->
217 TH1F* fhDZNormalized[2]; //->
218 TH2F* fhDXYvsDZNormalized[2]; //->
219 TH1F* fhNSigmaToVertex[2]; //->
524916f0 220
73318471 221 TH1F* fhPt[2]; //-> pt of esd tracks
222 TH1F* fhEta[2]; //-> eta of esd tracks
223
224 TF1* ffDTheoretical; //-> theoretical distance to vertex normalized (2d gauss)
225
226 TH1F* fhCutStatistics; //-> statistics of what cuts the tracks did not survive
227 TH2F* fhCutCorrelation; //-> 2d statistics plot
228
025fb458 229 ClassDef(AliESDtrackCuts, 7)
73318471 230};
231
232
233#endif