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e4f2f73d 1#ifndef ALITRDRECOPARAM_H
2#define ALITRDRECOPARAM_H
3/* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
4ba1d6ae 4* See cxx source for full Copyright notice */
e4f2f73d 5
6/* $Id$ */
7
8////////////////////////////////////////////////////////////////////////////
9// //
10// Parameter class for the TRD reconstruction //
11// //
12////////////////////////////////////////////////////////////////////////////
13
14#ifndef ALIDETECTORRECOPARAM_H
15#include "AliDetectorRecoParam.h"
16#endif
22a4ab0c 17#ifndef ALITRDCALPID_H
18#include "Cal/AliTRDCalPID.h"
19#endif
e4f2f73d 20
21class AliTRDrecoParam : public AliDetectorRecoParam
22{
3c66288b 23public:
4ba1d6ae 24 AliTRDrecoParam();
a7ac01d2 25 AliTRDrecoParam(const AliTRDrecoParam &rec);
4ba1d6ae 26 ~AliTRDrecoParam() { }
27
28 Double_t GetChi2Y() const { return fkChi2Y; }
29 Double_t GetChi2Z() const { return fkChi2Z; }
5a2e200c 30 Double_t GetChi2YSlope() const { return fkChi2YSlope; }
31 Double_t GetChi2ZSlope() const { return fkChi2ZSlope; }
32 Double_t GetChi2YCut() const { return fkChi2YCut; }
33 Double_t GetPhiSlope() const { return fkPhiSlope; }
8ae98148 34 Float_t GetNClusters() const;
35 Double_t GetNMeanClusters() const { return fkNMeanClusters; }
36 Double_t GetNSigmaClusters() const { return fkNSigmaClusters; }
4ba1d6ae 37 Double_t GetFindableClusters() const { return fkFindable; }
38 Double_t GetMaxTheta() const { return fkMaxTheta; }
39 Double_t GetMaxPhi() const { return fkMaxPhi; }
3afdab72 40 Double_t GetPlaneQualityThreshold() const { return fkPlaneQualityThreshold; }
56b32fd7 41 Double_t GetPIDThreshold(Float_t /*p*/) const { return 0.;}
4ba1d6ae 42 Double_t GetRoad0y() const { return fkRoad0y; }
43 Double_t GetRoad0z() const { return fkRoad0z; }
4ba1d6ae 44 Double_t GetRoad1y() const { return fkRoad1y; }
45 Double_t GetRoad1z() const { return fkRoad1z; }
4ba1d6ae 46 Double_t GetRoad2y() const { return fkRoad2y; }
47 Double_t GetRoad2z() const { return fkRoad2z; }
4ba1d6ae 48 Double_t GetTrackLikelihood() const { return fkTrackLikelihood; }
7e88424f 49 inline void GetSysCovMatrix(Double_t *sys) const;
4ba1d6ae 50 Double_t GetMinMaxCutSigma() const { return fMinMaxCutSigma; };
51 Double_t GetMinLeftRightCutSigma() const { return fMinLeftRightCutSigma; };
52 Double_t GetClusMaxThresh() const { return fClusMaxThresh; };
53 Double_t GetClusSigThresh() const { return fClusSigThresh; };
54 Int_t GetTCnexp() const { return fTCnexp; };
3c66288b 55 Int_t GetNumberOfPresamples() const {return fNumberOfPresamples;}
56 Int_t GetNumberOfPostsamples() const {return fNumberOfPostsamples;}
4ba1d6ae 57
3c66288b 58
4ba1d6ae 59 static AliTRDrecoParam *GetLowFluxParam();
60 static AliTRDrecoParam *GetHighFluxParam();
61 static AliTRDrecoParam *GetCosmicTestParam();
62
91834b8d 63 void SetMaxTheta(Double_t maxTheta) {fkMaxTheta = maxTheta;}
64 void SetMaxPhi(Double_t maxPhi) {fkMaxPhi = maxPhi;}
4e459a9d 65 void SetFindableClusters(Double_t r) {fkFindable = r;}
0c19b2c9 66 void SetChi2Y(Double_t chi2) {fkChi2Y = chi2;}
67 void SetChi2Z(Double_t chi2) {fkChi2Z = chi2;}
5a2e200c 68 void SetChi2YSlope(Double_t chi2YSlope) {fkChi2YSlope = chi2YSlope;}
69 void SetChi2ZSlope(Double_t chi2ZSlope) {fkChi2ZSlope = chi2ZSlope;}
70 void SetChi2YCut(Double_t chi2Cut) {fkChi2YCut = chi2Cut; }
71 void SetPhiSlope(Double_t phiSlope) {fkPhiSlope = phiSlope;}
8ae98148 72 void SetNMeanClusters(Double_t meanNclusters) {fkNMeanClusters = meanNclusters;}
73 void SetNSigmaClusters(Double_t sigmaNclusters) {fkNSigmaClusters = sigmaNclusters;}
fb872574 74 void SetMinMaxCutSigma(Float_t minMaxCutSigma) { fMinMaxCutSigma = minMaxCutSigma; }
4ba1d6ae 75 void SetMinLeftRightCutSigma(Float_t minLeftRightCutSigma) { fMinLeftRightCutSigma = minLeftRightCutSigma; };
76 void SetClusMaxThresh(Float_t thresh) { fClusMaxThresh = thresh; };
77 void SetClusSigThresh(Float_t thresh) { fClusSigThresh = thresh; };
22a4ab0c 78 inline void SetPIDThreshold(Double_t *pid);
4ba1d6ae 79 void SetNexponential(Int_t nexp) { fTCnexp = nexp; };
3afdab72 80 inline void SetSysCovMatrix(Double_t *sys);
fb872574 81 void SetNumberOfPresamples(Int_t n) { fNumberOfPresamples = n;}
82 void SetNumberOfPostsamples(Int_t n) { fNumberOfPostsamples = n;}
4ba1d6ae 83
3c66288b 84private:
8ae98148 85 // Physics reference values for TRD
86 Double_t fkdNchdy; // dNch/dy
4ba1d6ae 87 Double_t fkMaxTheta; // Maximum theta
8ae98148 88 Double_t fkMaxPhi; // Maximum phi - momentum cut
4ba1d6ae 89
90 Double_t fkRoad0y; // Road for middle cluster
91 Double_t fkRoad0z; // Road for middle cluster
92
93 Double_t fkRoad1y; // Road in y for seeded cluster
94 Double_t fkRoad1z; // Road in z for seeded cluster
95
96 Double_t fkRoad2y; // Road in y for extrapolated cluster
97 Double_t fkRoad2z; // Road in z for extrapolated cluster
98
99 Double_t fkPlaneQualityThreshold; // Quality threshold
8ae98148 100 Double_t fkFindable; // minimum ratio of clusters per tracklet supposed to be attached.
4ba1d6ae 101 Double_t fkChi2Z; // Max chi2 on the z direction for seeding clusters fit
102 Double_t fkChi2Y; // Max chi2 on the y direction for seeding clusters Rieman fit
5a2e200c 103 Double_t fkChi2YSlope; // Slope of the chi2-distribution in y-direction
104 Double_t fkChi2ZSlope; // Slope of the chi2-distribution in z-direction
105 Double_t fkChi2YCut; // Cut on the Chi2 in y-direction in the likelihood filter
106 Double_t fkPhiSlope; // Slope of the distribution of the deviation between track angle and tracklet angle
8ae98148 107 Double_t fkNMeanClusters; // Mean number of clusters per tracklet
108 Double_t fkNSigmaClusters; // Sigma of the number of clusters per tracklet
109 Double_t fkNClusterNoise; // ratio of noisy clusters to the true one
110 Double_t fkNMeanTracklets; // Mean number of tracklets per track
4ba1d6ae 111 Double_t fkTrackLikelihood; // Track likelihood for tracklets Rieman fit
4ba1d6ae 112
3afdab72 113 Double_t fSysCovMatrix[5]; // Systematic uncertainty from calibration and alignment for each tracklet
22a4ab0c 114 Double_t fPIDThreshold[AliTRDCalPID::kNMom];
e4f2f73d 115
a7ac01d2 116 // Clusterization parameter
4ba1d6ae 117 Double_t fMinMaxCutSigma; // Threshold sigma noise pad middle
118 Double_t fMinLeftRightCutSigma; // Threshold sigma noise sum pad
119 Double_t fClusMaxThresh; // Threshold value for cluster maximum
120 Double_t fClusSigThresh; // Threshold value for cluster signal
4ba1d6ae 121 Int_t fTCnexp; // Number of exponentials, digital filter
fc546d21 122
4ba1d6ae 123 // ADC parameter
4e459a9d 124 Int_t fNumberOfPresamples; // number of presamples
125 Int_t fNumberOfPostsamples; // number of postsamples
9716329b 126
5a2e200c 127 ClassDef(AliTRDrecoParam, 7) // Reconstruction parameters for TRD detector
e4f2f73d 128
129};
3afdab72 130
131//___________________________________________________
7e88424f 132inline void AliTRDrecoParam::GetSysCovMatrix(Double_t *sys) const
3afdab72 133{
134 if(!sys) return;
135 memcpy(sys, fSysCovMatrix, 5*sizeof(Double_t));
136}
137
138//___________________________________________________
139inline void AliTRDrecoParam::SetSysCovMatrix(Double_t *sys)
140{
141 if(!sys) return;
142 memcpy(fSysCovMatrix, sys, 5*sizeof(Double_t));
143}
144
22a4ab0c 145//___________________________________________________
146inline void AliTRDrecoParam::SetPIDThreshold(Double_t *pid)
147{
148 if(!pid) return;
149 memcpy(fPIDThreshold, pid, AliTRDCalPID::kNMom*sizeof(Double_t));
150}
3c66288b 151
152
e4f2f73d 153#endif