1 #ifndef ALITRDRECOPARAM_H
2 #define ALITRDRECOPARAM_H
3 /* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
4 * See cxx source for full Copyright notice */
8 ////////////////////////////////////////////////////////////////////////////
10 // Parameter class for the TRD reconstruction //
12 ////////////////////////////////////////////////////////////////////////////
14 #ifndef ALIDETECTORRECOPARAM_H
15 #include "AliDetectorRecoParam.h"
18 #ifndef ALITRDCALPID_H
19 #include "AliTRDCalPID.h"
22 #ifndef ALITRDPIDRESPONSE_H
23 #include "AliTRDPIDResponse.h"
28 class AliTRDrecoParam : public AliDetectorRecoParam
31 enum ETRDReconstructionTask{
35 kTRDreconstructionTasks = 3
47 ,kCheckTimeConsistency
51 AliTRDrecoParam(const AliTRDrecoParam &rec);
52 AliTRDrecoParam& operator=(const AliTRDrecoParam &rec);
53 ~AliTRDrecoParam() { }
55 Double_t GetChi2Y() const { return fkChi2Y; }
56 Double_t GetChi2Z() const { return fkChi2Z; }
57 Double_t GetChi2YSlope() const { return fkChi2YSlope; }
58 Double_t GetChi2ZSlope() const { return fkChi2ZSlope; }
59 Double_t GetChi2Cut() const { return fChi2Cut; }
60 Double_t GetChi2YCut() const { return fkChi2YCut; }
61 Double_t GetPhiSlope() const { return fkPhiSlope; }
62 Float_t GetNClusters() const;
63 Double_t GetNMeanClusters() const { return fkNMeanClusters; }
64 Double_t GetNSigmaClusters() const { return fkNSigmaClusters; }
65 Double_t GetFindableClusters() const { return fkFindable; }
66 Int_t GetPIDLQslices() const;
67 AliTRDPIDResponse::ETRDPIDMethod GetPIDmethod() const;
68 Double_t GetMaxTheta() const { return fkMaxTheta; }
69 Double_t GetMaxPhi() const { return fkMaxPhi; }
70 Double_t GetPlaneQualityThreshold() const { return fkPlaneQualityThreshold; }
71 Double_t GetPIDThreshold(Float_t /*p*/) const { return 0.;}
72 Double_t GetRoad0y() const { return fkRoad0y; }
73 Double_t GetRoad0z() const { return fkRoad0z; }
74 Double_t GetRoad1y() const { return fkRoad1y; }
75 Double_t GetRoad1z() const { return fkRoad1z; }
76 Double_t GetRoad2y() const { return fkRoad2y; }
77 Double_t GetRoad2z() const { return fkRoad2z; }
78 Double_t GetRoadzMultiplicator() const { return fkRoadzMultiplicator; }
79 Double_t GetTrackLikelihood() const { return fkTrackLikelihood; }
80 void GetSysCovMatrix(Double_t *sys) const;
81 void GetTCParams(Double_t *par) const;
82 Int_t GetStreamLevel(ETRDReconstructionTask task) const;
83 const TString *GetRawStreamVersion() const{ return &fRawStreamVersion; };
84 Double_t GetMinMaxCutSigma() const { return fMinMaxCutSigma; };
85 Double_t GetMinLeftRightCutSigma() const { return fMinLeftRightCutSigma; };
86 Double_t GetClusMaxThresh() const { return fClusMaxThresh; };
87 Double_t GetClusSigThresh() const { return fClusSigThresh; };
88 Int_t GetTCnexp() const { return fTCnexp; };
89 Int_t GetNumberOfPresamples() const { return fNumberOfPresamples; };
90 Int_t GetNumberOfPostsamples() const { return fNumberOfPostsamples; };
91 Int_t GetNumberOfSeedConfigs() const { return fNumberOfConfigs; };
92 Int_t GetRecEveryNTB() const { return fRecEveryNTB; };
93 Double_t GetClusterQmin() const { return fClusterQmin; };
95 // Tracklet parameters
96 Double_t GetCorrDZDXbiasRC(Bool_t dzdx) const { return fdzdxCorrRCbias[dzdx];}
97 Double_t GetCorrDZDX(Bool_t rc) const { return fdzdxCorrFactor[rc];}
98 Double_t GetCorrDZDXxcross() const { return fdzdxXcrossFactor;}
99 void GetYcorrTailCancel(Int_t it, Double_t par[3]) const;
100 Double_t GetS2Ycorr(Bool_t rc, Bool_t chg) const { return fS2Ycorr[2*rc+chg];}
102 Bool_t IsArgon() const { return TESTBIT(fFlags, kDriftGas); }
103 Bool_t IsCheckTimeConsistency() const { return kCheckTimeConsistency;}
104 Bool_t IsOverPtThreshold(Double_t pt) const {return Bool_t(pt>fkPtThreshold);}
105 Bool_t IsXenon() const { return !TESTBIT(fFlags, kDriftGas); }
106 Bool_t IsPIDNeuralNetwork() const { return TESTBIT(fFlags, kSteerPID);}
107 Bool_t IsVertexConstrained() const { return TESTBIT(fFlags, kVertexConstraint); }
108 Bool_t IsEightSlices() const { return TESTBIT(fFlags, kEightSlices);}
109 Bool_t HasImproveTracklets() const { return TESTBIT(fFlags, kImproveTracklet);}
110 Bool_t UseClusterSharing() const { return TESTBIT(fFlags, kClusterSharing);}
111 Bool_t UseLUT() const { return TESTBIT(fFlags, kLUT);}
112 Bool_t UseGAUS() const { return TESTBIT(fFlags, kGAUS);}
113 Bool_t UseTailCancelation() const { return TESTBIT(fFlags, kTailCancelation); }
115 static AliTRDrecoParam *GetLowFluxParam();
116 static AliTRDrecoParam *GetLowFluxHLTParam();
117 static AliTRDrecoParam *GetHighFluxParam();
118 static AliTRDrecoParam *GetHighFluxHLTParam();
119 static AliTRDrecoParam *GetCosmicTestParam();
121 void SetArgon(Bool_t b = kTRUE) {if(b) SETBIT(fFlags, kDriftGas); else CLRBIT(fFlags, kDriftGas);}
122 void SetCheckTimeConsistency(Bool_t b = kTRUE) {if(b) SETBIT(fFlags, kCheckTimeConsistency); else CLRBIT(fFlags, kCheckTimeConsistency);}
123 void SetClusterSharing(Bool_t b = kTRUE) {if(b) SETBIT(fFlags, kClusterSharing); else CLRBIT(fFlags, kClusterSharing);}
124 void SetEightSlices(Bool_t b = kTRUE) {if(b) SETBIT(fFlags, kEightSlices); else CLRBIT(fFlags, kEightSlices);}
125 void SetImproveTracklets(Bool_t b = kTRUE) {if(b) SETBIT(fFlags, kImproveTracklet); else CLRBIT(fFlags, kImproveTracklet);}
126 void SetLUT(Bool_t b=kTRUE) {if(b) SETBIT(fFlags, kLUT); else CLRBIT(fFlags, kLUT);}
127 void SetGAUS(Bool_t b=kTRUE) {if(b) SETBIT(fFlags, kGAUS); else CLRBIT(fFlags, kGAUS);}
128 void SetPIDNeuralNetwork(Bool_t b=kTRUE) {if(b) SETBIT(fFlags, kSteerPID); else CLRBIT(fFlags, kSteerPID);}
129 void SetPIDmethod(AliTRDPIDResponse::ETRDPIDMethod method);
130 void SetPIDLQslices(Int_t s);
131 void SetTailCancelation(Bool_t b=kTRUE) {if(b) SETBIT(fFlags, kTailCancelation); else CLRBIT(fFlags, kTailCancelation);}
132 void SetXenon(Bool_t b = kTRUE) {if(b) CLRBIT(fFlags, kDriftGas); else SETBIT(fFlags, kDriftGas);}
133 void SetVertexConstrained() {SETBIT(fFlags, kVertexConstraint);}
134 void SetMaxTheta(Double_t maxTheta) {fkMaxTheta = maxTheta;}
135 void SetMaxPhi(Double_t maxPhi) {fkMaxPhi = maxPhi;}
136 void SetFindableClusters(Double_t r) {fkFindable = r;}
137 void SetChi2Y(Double_t chi2) {fkChi2Y = chi2;}
138 void SetChi2Z(Double_t chi2) {fkChi2Z = chi2;}
139 void SetChi2YSlope(Double_t chi2YSlope) {fkChi2YSlope = chi2YSlope;}
140 void SetChi2ZSlope(Double_t chi2ZSlope) {fkChi2ZSlope = chi2ZSlope;}
141 void SetChi2Cut(Double_t chi2Cut) {fChi2Cut = chi2Cut; }
142 void SetChi2YCut(Double_t chi2Cut) {fkChi2YCut = chi2Cut; }
143 void SetPhiSlope(Double_t phiSlope) {fkPhiSlope = phiSlope;}
144 void SetNMeanClusters(Double_t meanNclusters) {fkNMeanClusters = meanNclusters;}
145 void SetNSigmaClusters(Double_t sigmaNclusters) {fkNSigmaClusters = sigmaNclusters;}
146 void SetRawStreamVersion(const Char_t *version) {fRawStreamVersion = version; }
147 void SetRoadzMultiplicator(Double_t mult) {fkRoadzMultiplicator = mult; }
148 void SetMinMaxCutSigma(Float_t minMaxCutSigma) { fMinMaxCutSigma = minMaxCutSigma; }
149 void SetMinLeftRightCutSigma(Float_t minLeftRightCutSigma) { fMinLeftRightCutSigma = minLeftRightCutSigma; };
150 void SetClusMaxThresh(Float_t thresh) { fClusMaxThresh = thresh; };
151 void SetClusSigThresh(Float_t thresh) { fClusSigThresh = thresh; };
152 void SetPIDThreshold(Double_t *pid);
153 void SetPtThreshold(Double_t pt) {fkPtThreshold = pt;}
154 void SetNexponential(Int_t nexp) { fTCnexp = nexp; };
155 void SetTCParams(Double_t *par);
156 void SetTrackletParams(Double_t *par=NULL);
157 void SetStreamLevel(ETRDReconstructionTask task, Int_t level);
158 void SetSysCovMatrix(Double_t *sys);
159 void SetNumberOfPresamples(Int_t n) { fNumberOfPresamples = n;}
160 void SetNumberOfPostsamples(Int_t n) { fNumberOfPostsamples = n;}
161 void SetRecEveryTwoTB() { fRecEveryNTB = 2; fkNMeanClusters = 10; }
162 void SetClusterQmin(Double_t min) { fClusterQmin = min; };
165 // Physics reference values for TRD
166 Double_t fkdNchdy; // dNch/dy
167 Double_t fkMaxTheta; // Maximum theta
168 Double_t fkMaxPhi; // Maximum phi - momentum cut
170 Double_t fkRoad0y; // Road for middle cluster
171 Double_t fkRoad0z; // Road for middle cluster
173 Double_t fkRoad1y; // Road in y for seeded cluster
174 Double_t fkRoad1z; // Road in z for seeded cluster
176 Double_t fkRoad2y; // Road in y for extrapolated cluster
177 Double_t fkRoad2z; // Road in z for extrapolated cluster
178 Double_t fkPtThreshold; // pt threshold for using TRD points for updating Kalaman track
179 Double_t fkPlaneQualityThreshold; // Quality threshold
180 Double_t fkRoadzMultiplicator; // Multiplicator for the Roads in z
181 Double_t fkFindable; // minimum ratio of clusters per tracklet supposed to be attached.
182 Double_t fkChi2Z; // Max chi2 on the z direction for seeding clusters fit
183 Double_t fkChi2Y; // Max chi2 on the y direction for seeding clusters Rieman fit
184 Double_t fkChi2YSlope; // Slope of the chi2-distribution in y-direction
185 Double_t fkChi2ZSlope; // Slope of the chi2-distribution in z-direction
186 Double_t fChi2Cut; // Cut on the Chi2 track/tracklet 0 used to diecide if the kalman track should be updated
187 Double_t fkChi2YCut; // Cut on the Chi2 in y-direction in the likelihood filter
188 Double_t fkPhiSlope; // Slope of the distribution of the deviation between track angle and tracklet angle
189 Double_t fkNMeanClusters; // Mean number of clusters per tracklet
190 Double_t fkNSigmaClusters; // Sigma of the number of clusters per tracklet
191 Double_t fkNClusterNoise; // ratio of noisy clusters to the true one
192 Double_t fkNMeanTracklets; // Mean number of tracklets per track
193 Double_t fkTrackLikelihood; // Track likelihood for tracklets Rieman fit
195 Double_t fSysCovMatrix[5]; // Systematic uncertainty from calibration and alignment for each tracklet
196 Double_t fPIDThreshold[AliTRDCalPID::kNMom]; // PID Thresholds for Electron candidate decision
197 Int_t fNumberOfConfigs; // Used number of seed configurations
199 // Reconstruction Options for TRD reconstruction
200 Int_t fStreamLevel[kTRDreconstructionTasks]; // Stream Level
201 Long64_t fFlags; // option Flags
204 TString fRawStreamVersion; // Raw Reader version
206 // Tracklet parameters
207 Double_t fdzdxCorrFactor[2]; // correction of dzdx estimation due to z bias; [0] for !RC, [1] for RC
208 Double_t fdzdxCorrRCbias[2]; // correction of dzdx estimation bias for RC; [0] for dz/dx>0, [1] for dz/dx<0
209 Double_t fdzdxXcrossFactor; // bias in dzdx of estimated xcross [RC]
210 Double_t fYcorrTailCancel[4][3]; // y correction due to wrong tail cancellation. [0] bz<0 && !RC, [1] bz>0 && !RC, [2] bz<0 && RC [3] bz>0 && RC
211 Double_t fS2Ycorr[4]; // inflation factor of error parameterization in r-phi due to wrong estimation of residuals.
213 // Clusterization parameter
214 Double_t fMinMaxCutSigma; // Threshold sigma noise pad middle
215 Double_t fMinLeftRightCutSigma; // Threshold sigma noise sum pad
216 Double_t fClusMaxThresh; // Threshold value for cluster maximum
217 Double_t fClusSigThresh; // Threshold value for cluster signal
218 Int_t fTCnexp; // Number of exponentials, digital filter
219 Double_t fTCParams[8]; // Tail Cancellation parameters for drift gases
220 Int_t fRecEveryNTB; // Reconstruct each nth timebin
221 Double_t fClusterQmin; // Threshold for the total cluster charge to be written to recPoints file
224 Int_t fNumberOfPresamples; // number of presamples
225 Int_t fNumberOfPostsamples; // number of postsamples
227 ClassDef(AliTRDrecoParam, 14) // Reconstruction parameters for TRD detector
231 //___________________________________________________
232 inline void AliTRDrecoParam::GetSysCovMatrix(Double_t *sys) const
235 memcpy(sys, fSysCovMatrix, 5*sizeof(Double_t));
238 //___________________________________________________
239 inline void AliTRDrecoParam::SetSysCovMatrix(Double_t *sys)
242 memcpy(fSysCovMatrix, sys, 5*sizeof(Double_t));
245 //___________________________________________________
246 inline void AliTRDrecoParam::SetPIDThreshold(Double_t *pid)
249 memcpy(fPIDThreshold, pid, AliTRDCalPID::kNMom*sizeof(Double_t));
252 //___________________________________________________
253 inline void AliTRDrecoParam::SetStreamLevel(ETRDReconstructionTask task, Int_t level){
254 if(task >= kTRDreconstructionTasks) return;
255 fStreamLevel[static_cast<Int_t>(task)] = level;
258 //___________________________________________________
259 inline Int_t AliTRDrecoParam::GetStreamLevel(ETRDReconstructionTask task) const{
260 if(task >= kTRDreconstructionTasks) return 0;
261 return fStreamLevel[static_cast<Int_t>(task)];
264 //___________________________________________________
265 inline void AliTRDrecoParam::GetTCParams(Double_t *par) const
268 if(IsArgon()) memcpy(par, &fTCParams[4], 4*sizeof(Double_t));
269 else memcpy(par, &fTCParams[0], 4*sizeof(Double_t));
272 //___________________________________________________
273 inline void AliTRDrecoParam::SetTCParams(Double_t *par)
276 memcpy(fTCParams, par, 8*sizeof(Double_t));
280 //___________________________________________________
281 inline void AliTRDrecoParam::GetYcorrTailCancel(Int_t it, Double_t par[3]) const
283 if(it<0||it>3) return;
284 memcpy(par, fYcorrTailCancel[it], 3*sizeof(Double_t));
287 //___________________________________________________
288 inline Int_t AliTRDrecoParam::GetPIDLQslices() const
290 if(IsPIDNeuralNetwork()) return -1;
291 return TESTBIT(fFlags, kLQ2D) ? 2 : 1;
294 //___________________________________________________
295 inline AliTRDPIDResponse::ETRDPIDMethod AliTRDrecoParam::GetPIDmethod() const
297 AliTRDPIDResponse::ETRDPIDMethod method = AliTRDPIDResponse::kLQ1D;
298 if(IsPIDNeuralNetwork()) method = AliTRDPIDResponse::kNN;
299 else if(TESTBIT(fFlags, kLQ2D)) method = AliTRDPIDResponse::kLQ2D;
303 //___________________________________________________
304 inline void AliTRDrecoParam::SetPIDmethod(AliTRDPIDResponse::ETRDPIDMethod method)
307 case AliTRDPIDResponse::kLQ2D:
308 CLRBIT(fFlags, kSteerPID);
309 SETBIT(fFlags, kLQ2D);
311 case AliTRDPIDResponse::kNN:
312 SETBIT(fFlags, kSteerPID);
314 case AliTRDPIDResponse::kLQ1D:
316 CLRBIT(fFlags, kSteerPID);
317 CLRBIT(fFlags, kLQ2D);