expantion of recoParam (Markus) and fix bug in HLT mode
[u/mrichter/AliRoot.git] / TRD / AliTRDrecoParam.h
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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
17
18class AliTRDrecoParam : public AliDetectorRecoParam
19{
3c66288b 20public:
4ba1d6ae 21 AliTRDrecoParam();
a7ac01d2 22 AliTRDrecoParam(const AliTRDrecoParam &rec);
4ba1d6ae 23 ~AliTRDrecoParam() { }
24
25 Double_t GetChi2Y() const { return fkChi2Y; }
26 Double_t GetChi2Z() const { return fkChi2Z; }
91834b8d 27 Double_t GetChi2YCut() const { return fkChi2YCut; }
28 Double_t GetChi2ZCut() const { return fkChi2ZCut; }
29 Double_t GetPhiCut() const { return fkPhiCut; }
30 Double_t GetMeanNclusters() const { return fkMeanNclusters; }
31 Double_t GetSigmaNclusters() const { return fkSigmaNclusters; }
4ba1d6ae 32 Double_t GetFindableClusters() const { return fkFindable; }
33 Double_t GetMaxTheta() const { return fkMaxTheta; }
34 Double_t GetMaxPhi() const { return fkMaxPhi; }
3afdab72 35 Double_t GetPlaneQualityThreshold() const { return fkPlaneQualityThreshold; }
4ba1d6ae 36 Double_t GetRoad0y() const { return fkRoad0y; }
37 Double_t GetRoad0z() const { return fkRoad0z; }
4ba1d6ae 38 Double_t GetRoad1y() const { return fkRoad1y; }
39 Double_t GetRoad1z() const { return fkRoad1z; }
4ba1d6ae 40 Double_t GetRoad2y() const { return fkRoad2y; }
41 Double_t GetRoad2z() const { return fkRoad2z; }
4ba1d6ae 42 Double_t GetTrackLikelihood() const { return fkTrackLikelihood; }
7e88424f 43 inline void GetSysCovMatrix(Double_t *sys) const;
4ba1d6ae 44 Double_t GetMinMaxCutSigma() const { return fMinMaxCutSigma; };
45 Double_t GetMinLeftRightCutSigma() const { return fMinLeftRightCutSigma; };
46 Double_t GetClusMaxThresh() const { return fClusMaxThresh; };
47 Double_t GetClusSigThresh() const { return fClusSigThresh; };
48 Int_t GetTCnexp() const { return fTCnexp; };
3c66288b 49 Int_t GetNumberOfPresamples() const {return fNumberOfPresamples;}
50 Int_t GetNumberOfPostsamples() const {return fNumberOfPostsamples;}
4ba1d6ae 51
3c66288b 52
4ba1d6ae 53 static AliTRDrecoParam *GetLowFluxParam();
54 static AliTRDrecoParam *GetHighFluxParam();
55 static AliTRDrecoParam *GetCosmicTestParam();
56
a7ac01d2 57 Bool_t IsClusterSharing() const { return TestBit(kClusterSharing);}
58 Bool_t IsLUT() const { return TestBit(kLUT);}
a7ac01d2 59 Bool_t IsTailCancelation() const { return TestBit(kTC);}
60 Bool_t IsVertexConstrained() const { return TestBit(kVertexConstrained); }
fb872574 61 Bool_t HasImproveTracklets() const { return TestBit(kImproveTracklet); }
3c66288b 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;}
91834b8d 68 void SetChi2YCut(Double_t chi2YCut) {fkChi2YCut = chi2YCut;}
69 void SetChi2ZCut(Double_t chi2ZCut) {fkChi2ZCut = chi2ZCut;}
70 void SetPhiCut(Double_t phiCut) {fkPhiCut = phiCut;}
71 void SetMeanNclusters(Double_t meanNclusters) {fkMeanNclusters = meanNclusters;}
72 void SetSigmaNclusters(Double_t sigmaNclusters) {fkSigmaNclusters = sigmaNclusters;}
fb872574 73 void SetClusterSharing(Bool_t share = kTRUE) { SetBit(kClusterSharing, share);}
74 void SetImproveTracklets(Bool_t improve = kTRUE) { SetBit(kImproveTracklet, improve);}
75 void SetVertexConstrained(Bool_t vc = kTRUE) { SetBit(kVertexConstrained, vc); }
76 void SetLUT(Bool_t lut = kTRUE) { SetBit(kLUT, lut);};
77 void SetMinMaxCutSigma(Float_t minMaxCutSigma) { fMinMaxCutSigma = minMaxCutSigma; }
4ba1d6ae 78 void SetMinLeftRightCutSigma(Float_t minLeftRightCutSigma) { fMinLeftRightCutSigma = minLeftRightCutSigma; };
79 void SetClusMaxThresh(Float_t thresh) { fClusMaxThresh = thresh; };
80 void SetClusSigThresh(Float_t thresh) { fClusSigThresh = thresh; };
fb872574 81 void SetTailCancelation(Bool_t tc = kTRUE) { SetBit(kTC, tc); };
4ba1d6ae 82 void SetNexponential(Int_t nexp) { fTCnexp = nexp; };
3afdab72 83 inline void SetSysCovMatrix(Double_t *sys);
fb872574 84 void SetNumberOfPresamples(Int_t n) { fNumberOfPresamples = n;}
85 void SetNumberOfPostsamples(Int_t n) { fNumberOfPostsamples = n;}
4ba1d6ae 86
3c66288b 87private:
4ba1d6ae 88 enum{
fb872574 89 kTC = BIT(14) // tail cancelation
90 ,kLUT = BIT(15) // look up table for cluster position determination
91 ,kClusterSharing = BIT(16) // Toggle cluster sharing
92 ,kVertexConstrained = BIT(17) // Perform vertex constrained fit
93 ,kImproveTracklet = BIT(18) // Improve tracklet in the SA TRD track finder
a7ac01d2 94 };
4ba1d6ae 95
4ba1d6ae 96 Double_t fkMaxTheta; // Maximum theta
97 Double_t fkMaxPhi; // Maximum phi
98
99 Double_t fkRoad0y; // Road for middle cluster
100 Double_t fkRoad0z; // Road for middle cluster
101
102 Double_t fkRoad1y; // Road in y for seeded cluster
103 Double_t fkRoad1z; // Road in z for seeded cluster
104
105 Double_t fkRoad2y; // Road in y for extrapolated cluster
106 Double_t fkRoad2z; // Road in z for extrapolated cluster
107
108 Double_t fkPlaneQualityThreshold; // Quality threshold
109 Double_t fkFindable; // Ratio of clusters from a track in one chamber which are at minimum supposed to be found.
110 Double_t fkChi2Z; // Max chi2 on the z direction for seeding clusters fit
111 Double_t fkChi2Y; // Max chi2 on the y direction for seeding clusters Rieman fit
91834b8d 112 Double_t fkChi2YCut; // Cut on the Chi2 in y-direction in the likelihood filter
113 Double_t fkChi2ZCut; // Cut on the Chi2 in z-direction in the likelihood filter
114 Double_t fkPhiCut; // Cut on the deviation of the phi angles between tracklet and track fit (lik. filter)
115 Double_t fkMeanNclusters; // Mean of the distribution of the number of clusters per tracklet
116 Double_t fkSigmaNclusters; // Sigma of the distribution of the number of clusters per tracklet
4ba1d6ae 117 Double_t fkTrackLikelihood; // Track likelihood for tracklets Rieman fit
4ba1d6ae 118
3afdab72 119 Double_t fSysCovMatrix[5]; // Systematic uncertainty from calibration and alignment for each tracklet
e4f2f73d 120
a7ac01d2 121 // Clusterization parameter
4ba1d6ae 122 Double_t fMinMaxCutSigma; // Threshold sigma noise pad middle
123 Double_t fMinLeftRightCutSigma; // Threshold sigma noise sum pad
124 Double_t fClusMaxThresh; // Threshold value for cluster maximum
125 Double_t fClusSigThresh; // Threshold value for cluster signal
4ba1d6ae 126 Int_t fTCnexp; // Number of exponentials, digital filter
fc546d21 127
4ba1d6ae 128 // ADC parameter
4e459a9d 129 Int_t fNumberOfPresamples; // number of presamples
130 Int_t fNumberOfPostsamples; // number of postsamples
9716329b 131
3a039a31 132 ClassDef(AliTRDrecoParam, 4) // Reconstruction parameters for TRD detector
e4f2f73d 133
134};
3afdab72 135
136//___________________________________________________
7e88424f 137inline void AliTRDrecoParam::GetSysCovMatrix(Double_t *sys) const
3afdab72 138{
139 if(!sys) return;
140 memcpy(sys, fSysCovMatrix, 5*sizeof(Double_t));
141}
142
143//___________________________________________________
144inline void AliTRDrecoParam::SetSysCovMatrix(Double_t *sys)
145{
146 if(!sys) return;
147 memcpy(fSysCovMatrix, sys, 5*sizeof(Double_t));
148}
149
3c66288b 150
151
e4f2f73d 152#endif