#ifndef ALIDETECTORRECOPARAM_H
#include "AliDetectorRecoParam.h"
#endif
+#ifndef ALITRDCALPID_H
+#include "Cal/AliTRDCalPID.h"
+#endif
+
+class TString;
class AliTRDrecoParam : public AliDetectorRecoParam
{
public:
+ enum ETRDReconstructionTask{
+ kClusterizer = 0,
+ kTracker = 1,
+ kPID = 2,
+ kTRDreconstructionTasks = 3
+ };
+ enum ETRDflags {
+ kDriftGas
+ ,kVertexConstraint
+ ,kTailCancelation
+ ,kImproveTracklet
+ ,kLUT
+ ,kGAUS
+ ,kClusterSharing
+ ,kSteerPID
+ ,kEightSlices
+ ,kCheckTimeConsistency
+ ,kLQ2D
+ };
AliTRDrecoParam();
AliTRDrecoParam(const AliTRDrecoParam &rec);
~AliTRDrecoParam() { }
Double_t GetChi2Y() const { return fkChi2Y; }
Double_t GetChi2Z() const { return fkChi2Z; }
- Double_t GetChi2YCut() const { return fkChi2YCut; }
- Double_t GetChi2ZCut() const { return fkChi2ZCut; }
- Double_t GetPhiCut() const { return fkPhiCut; }
- Double_t GetMeanNclusters() const { return fkMeanNclusters; }
- Double_t GetSigmaNclusters() const { return fkSigmaNclusters; }
+ Double_t GetChi2YSlope() const { return fkChi2YSlope; }
+ Double_t GetChi2ZSlope() const { return fkChi2ZSlope; }
+ Double_t GetChi2YCut() const { return fkChi2YCut; }
+ Double_t GetPhiSlope() const { return fkPhiSlope; }
+ Float_t GetNClusters() const;
+ Double_t GetNMeanClusters() const { return fkNMeanClusters; }
+ Double_t GetNSigmaClusters() const { return fkNSigmaClusters; }
Double_t GetFindableClusters() const { return fkFindable; }
+ inline Int_t GetPIDLQslices() const;
Double_t GetMaxTheta() const { return fkMaxTheta; }
Double_t GetMaxPhi() const { return fkMaxPhi; }
Double_t GetPlaneQualityThreshold() const { return fkPlaneQualityThreshold; }
+ Double_t GetPIDThreshold(Float_t /*p*/) const { return 0.;}
Double_t GetRoad0y() const { return fkRoad0y; }
Double_t GetRoad0z() const { return fkRoad0z; }
Double_t GetRoad1y() const { return fkRoad1y; }
Double_t GetRoad1z() const { return fkRoad1z; }
Double_t GetRoad2y() const { return fkRoad2y; }
Double_t GetRoad2z() const { return fkRoad2z; }
+ Double_t GetRoadzMultiplicator() const { return fkRoadzMultiplicator; }
Double_t GetTrackLikelihood() const { return fkTrackLikelihood; }
inline void GetSysCovMatrix(Double_t *sys) const;
+ inline void GetTCParams(Double_t *par) const;
+ inline Int_t GetStreamLevel(ETRDReconstructionTask task) const;
+ const TString *GetRawStreamVersion() const{ return &fRawStreamVersion; };
Double_t GetMinMaxCutSigma() const { return fMinMaxCutSigma; };
Double_t GetMinLeftRightCutSigma() const { return fMinLeftRightCutSigma; };
Double_t GetClusMaxThresh() const { return fClusMaxThresh; };
Double_t GetClusSigThresh() const { return fClusSigThresh; };
Int_t GetTCnexp() const { return fTCnexp; };
- Int_t GetNumberOfPresamples() const {return fNumberOfPresamples;}
- Int_t GetNumberOfPostsamples() const {return fNumberOfPostsamples;}
-
+ Int_t GetNumberOfPresamples() const { return fNumberOfPresamples;}
+ Int_t GetNumberOfPostsamples() const { return fNumberOfPostsamples;}
+ Int_t GetNumberOfSeedConfigs() const { return fNumberOfConfigs;}
+ Int_t GetRecEveryNTB() const { return fRecEveryNTB; }
+ Bool_t IsArgon() const { return TESTBIT(fFlags, kDriftGas); }
+ Bool_t IsCheckTimeConsistency() const { return kCheckTimeConsistency;}
+ Bool_t IsOverPtThreshold(Double_t pt) const {return Bool_t(pt>fkPtThreshold);}
+ Bool_t IsXenon() const { return !TESTBIT(fFlags, kDriftGas); }
+ Bool_t IsPIDNeuralNetwork() const { return TESTBIT(fFlags, kSteerPID);}
+ Bool_t IsVertexConstrained() const { return TESTBIT(fFlags, kVertexConstraint); }
+ Bool_t IsEightSlices() const { return TESTBIT(fFlags, kEightSlices);}
+ Bool_t HasImproveTracklets() const { return TESTBIT(fFlags, kImproveTracklet);}
+ Bool_t UseClusterSharing() const { return TESTBIT(fFlags, kClusterSharing);}
+ Bool_t UseLUT() const { return TESTBIT(fFlags, kLUT);}
+ Bool_t UseGAUS() const { return TESTBIT(fFlags, kGAUS);}
+ Bool_t UseTailCancelation() const { return TESTBIT(fFlags, kTailCancelation); }
static AliTRDrecoParam *GetLowFluxParam();
+ static AliTRDrecoParam *GetLowFluxHLTParam();
static AliTRDrecoParam *GetHighFluxParam();
+ static AliTRDrecoParam *GetHighFluxHLTParam();
static AliTRDrecoParam *GetCosmicTestParam();
- Bool_t IsClusterSharing() const { return TestBit(kClusterSharing);}
- Bool_t IsLUT() const { return TestBit(kLUT);}
- Bool_t IsTailCancelation() const { return TestBit(kTC);}
- Bool_t IsVertexConstrained() const { return TestBit(kVertexConstrained); }
- Bool_t HasImproveTracklets() const { return TestBit(kImproveTracklet); }
-
- void SetMaxTheta(Double_t maxTheta) {fkMaxTheta = maxTheta;}
- void SetMaxPhi(Double_t maxPhi) {fkMaxPhi = maxPhi;}
- void SetFindableClusters(Double_t r) {fkFindable = r;}
- void SetChi2Y(Double_t chi2) {fkChi2Y = chi2;}
- void SetChi2Z(Double_t chi2) {fkChi2Z = chi2;}
- void SetChi2YCut(Double_t chi2YCut) {fkChi2YCut = chi2YCut;}
- void SetChi2ZCut(Double_t chi2ZCut) {fkChi2ZCut = chi2ZCut;}
- void SetPhiCut(Double_t phiCut) {fkPhiCut = phiCut;}
- void SetMeanNclusters(Double_t meanNclusters) {fkMeanNclusters = meanNclusters;}
- void SetSigmaNclusters(Double_t sigmaNclusters) {fkSigmaNclusters = sigmaNclusters;}
- void SetClusterSharing(Bool_t share = kTRUE) { SetBit(kClusterSharing, share);}
- void SetImproveTracklets(Bool_t improve = kTRUE) { SetBit(kImproveTracklet, improve);}
- void SetVertexConstrained(Bool_t vc = kTRUE) { SetBit(kVertexConstrained, vc); }
- void SetLUT(Bool_t lut = kTRUE) { SetBit(kLUT, lut);};
+ void SetArgon(Bool_t b = kTRUE) {if(b) SETBIT(fFlags, kDriftGas); else CLRBIT(fFlags, kDriftGas);}
+ void SetCheckTimeConsistency(Bool_t b = kTRUE) {if(b) SETBIT(fFlags, kCheckTimeConsistency); else CLRBIT(fFlags, kCheckTimeConsistency);}
+ void SetClusterSharing(Bool_t b = kTRUE) {if(b) SETBIT(fFlags, kClusterSharing); else CLRBIT(fFlags, kClusterSharing);}
+ void SetEightSlices(Bool_t b = kTRUE) {if(b) SETBIT(fFlags, kEightSlices); else CLRBIT(fFlags, kEightSlices);}
+ void SetImproveTracklets(Bool_t b = kTRUE) {if(b) SETBIT(fFlags, kImproveTracklet); else CLRBIT(fFlags, kImproveTracklet);}
+ void SetLUT(Bool_t b=kTRUE) {if(b) SETBIT(fFlags, kLUT); else CLRBIT(fFlags, kLUT);}
+ void SetGAUS(Bool_t b=kTRUE) {if(b) SETBIT(fFlags, kGAUS); else CLRBIT(fFlags, kGAUS);}
+ void SetPIDNeuralNetwork(Bool_t b=kTRUE) {if(b) SETBIT(fFlags, kSteerPID); else CLRBIT(fFlags, kSteerPID);}
+ void SetPIDLQslices(Int_t s);
+ void SetTailCancelation(Bool_t b=kTRUE) {if(b) SETBIT(fFlags, kTailCancelation); else CLRBIT(fFlags, kTailCancelation);}
+ void SetXenon(Bool_t b = kTRUE) {if(b) CLRBIT(fFlags, kDriftGas); else SETBIT(fFlags, kDriftGas);}
+ void SetVertexConstrained() {SETBIT(fFlags, kVertexConstraint);}
+ void SetMaxTheta(Double_t maxTheta) {fkMaxTheta = maxTheta;}
+ void SetMaxPhi(Double_t maxPhi) {fkMaxPhi = maxPhi;}
+ void SetFindableClusters(Double_t r) {fkFindable = r;}
+ void SetChi2Y(Double_t chi2) {fkChi2Y = chi2;}
+ void SetChi2Z(Double_t chi2) {fkChi2Z = chi2;}
+ void SetChi2YSlope(Double_t chi2YSlope) {fkChi2YSlope = chi2YSlope;}
+ void SetChi2ZSlope(Double_t chi2ZSlope) {fkChi2ZSlope = chi2ZSlope;}
+ void SetChi2YCut(Double_t chi2Cut) {fkChi2YCut = chi2Cut; }
+ void SetPhiSlope(Double_t phiSlope) {fkPhiSlope = phiSlope;}
+ void SetNMeanClusters(Double_t meanNclusters) {fkNMeanClusters = meanNclusters;}
+ void SetNSigmaClusters(Double_t sigmaNclusters) {fkNSigmaClusters = sigmaNclusters;}
+ void SetRawStreamVersion(const Char_t *version) {fRawStreamVersion = version; }
+ void SetRoadzMultiplicator(Double_t mult) {fkRoadzMultiplicator = mult; }
void SetMinMaxCutSigma(Float_t minMaxCutSigma) { fMinMaxCutSigma = minMaxCutSigma; }
void SetMinLeftRightCutSigma(Float_t minLeftRightCutSigma) { fMinLeftRightCutSigma = minLeftRightCutSigma; };
void SetClusMaxThresh(Float_t thresh) { fClusMaxThresh = thresh; };
void SetClusSigThresh(Float_t thresh) { fClusSigThresh = thresh; };
- void SetTailCancelation(Bool_t tc = kTRUE) { SetBit(kTC, tc); };
+ inline void SetPIDThreshold(Double_t *pid);
+ void SetPtThreshold(Double_t pt) {fkPtThreshold = pt;}
void SetNexponential(Int_t nexp) { fTCnexp = nexp; };
+ inline void SetTCParams(Double_t *par);
+ inline void SetStreamLevel(ETRDReconstructionTask task, Int_t level);
inline void SetSysCovMatrix(Double_t *sys);
void SetNumberOfPresamples(Int_t n) { fNumberOfPresamples = n;}
void SetNumberOfPostsamples(Int_t n) { fNumberOfPostsamples = n;}
private:
- enum{
- kTC = BIT(14) // tail cancelation
- ,kLUT = BIT(15) // look up table for cluster position determination
- ,kClusterSharing = BIT(16) // Toggle cluster sharing
- ,kVertexConstrained = BIT(17) // Perform vertex constrained fit
- ,kImproveTracklet = BIT(18) // Improve tracklet in the SA TRD track finder
- };
-
+ // Physics reference values for TRD
+ Double_t fkdNchdy; // dNch/dy
Double_t fkMaxTheta; // Maximum theta
- Double_t fkMaxPhi; // Maximum phi
-
+ Double_t fkMaxPhi; // Maximum phi - momentum cut
+ // Tracker params
Double_t fkRoad0y; // Road for middle cluster
Double_t fkRoad0z; // Road for middle cluster
Double_t fkRoad2y; // Road in y for extrapolated cluster
Double_t fkRoad2z; // Road in z for extrapolated cluster
-
+ Double_t fkPtThreshold; // pt threshold for using TRD points for updating Kalaman track
Double_t fkPlaneQualityThreshold; // Quality threshold
- Double_t fkFindable; // Ratio of clusters from a track in one chamber which are at minimum supposed to be found.
+ Double_t fkRoadzMultiplicator; // Multiplicator for the Roads in z
+ Double_t fkFindable; // minimum ratio of clusters per tracklet supposed to be attached.
Double_t fkChi2Z; // Max chi2 on the z direction for seeding clusters fit
Double_t fkChi2Y; // Max chi2 on the y direction for seeding clusters Rieman fit
- Double_t fkChi2YCut; // Cut on the Chi2 in y-direction in the likelihood filter
- Double_t fkChi2ZCut; // Cut on the Chi2 in z-direction in the likelihood filter
- Double_t fkPhiCut; // Cut on the deviation of the phi angles between tracklet and track fit (lik. filter)
- Double_t fkMeanNclusters; // Mean of the distribution of the number of clusters per tracklet
- Double_t fkSigmaNclusters; // Sigma of the distribution of the number of clusters per tracklet
+ Double_t fkChi2YSlope; // Slope of the chi2-distribution in y-direction
+ Double_t fkChi2ZSlope; // Slope of the chi2-distribution in z-direction
+ Double_t fkChi2YCut; // Cut on the Chi2 in y-direction in the likelihood filter
+ Double_t fkPhiSlope; // Slope of the distribution of the deviation between track angle and tracklet angle
+ Double_t fkNMeanClusters; // Mean number of clusters per tracklet
+ Double_t fkNSigmaClusters; // Sigma of the number of clusters per tracklet
+ Double_t fkNClusterNoise; // ratio of noisy clusters to the true one
+ Double_t fkNMeanTracklets; // Mean number of tracklets per track
Double_t fkTrackLikelihood; // Track likelihood for tracklets Rieman fit
Double_t fSysCovMatrix[5]; // Systematic uncertainty from calibration and alignment for each tracklet
+ Double_t fPIDThreshold[AliTRDCalPID::kNMom]; // PID Thresholds for Electron candidate decision
+ Int_t fNumberOfConfigs; // Used number of seed configurations
+
+ // Reconstruction Options for TRD reconstruction
+ Int_t fStreamLevel[kTRDreconstructionTasks]; // Stream Level
+ Long64_t fFlags; // option Flags
+
+ // Raw Reader Params
+ TString fRawStreamVersion; // Raw Reader version
// Clusterization parameter
Double_t fMinMaxCutSigma; // Threshold sigma noise pad middle
Double_t fClusMaxThresh; // Threshold value for cluster maximum
Double_t fClusSigThresh; // Threshold value for cluster signal
Int_t fTCnexp; // Number of exponentials, digital filter
-
+ Double_t fTCParams[8]; // Tail Cancellation parameters for drift gases
+ Int_t fRecEveryNTB; // Reconstruct each nth timebin
+
// ADC parameter
Int_t fNumberOfPresamples; // number of presamples
Int_t fNumberOfPostsamples; // number of postsamples
- ClassDef(AliTRDrecoParam, 4) // Reconstruction parameters for TRD detector
+ ClassDef(AliTRDrecoParam, 11) // Reconstruction parameters for TRD detector
};
memcpy(fSysCovMatrix, sys, 5*sizeof(Double_t));
}
+//___________________________________________________
+inline void AliTRDrecoParam::SetPIDThreshold(Double_t *pid)
+{
+ if(!pid) return;
+ memcpy(fPIDThreshold, pid, AliTRDCalPID::kNMom*sizeof(Double_t));
+}
+//___________________________________________________
+inline void AliTRDrecoParam::SetStreamLevel(ETRDReconstructionTask task, Int_t level){
+ if(task >= kTRDreconstructionTasks) return;
+ fStreamLevel[static_cast<Int_t>(task)] = level;
+}
+
+//___________________________________________________
+inline Int_t AliTRDrecoParam::GetStreamLevel(ETRDReconstructionTask task) const{
+ if(task >= kTRDreconstructionTasks) return 0;
+ return fStreamLevel[static_cast<Int_t>(task)];
+}
+
+//___________________________________________________
+inline void AliTRDrecoParam::GetTCParams(Double_t *par) const
+{
+ if(!par) return;
+ if(IsArgon()) memcpy(par, &fTCParams[4], 4*sizeof(Double_t));
+ else memcpy(par, &fTCParams[0], 4*sizeof(Double_t));
+}
+
+//___________________________________________________
+inline void AliTRDrecoParam::SetTCParams(Double_t *par)
+{
+ if(!par) return;
+ memcpy(fTCParams, par, 8*sizeof(Double_t));
+}
+
+//___________________________________________________
+inline Int_t AliTRDrecoParam::GetPIDLQslices() const
+{
+ if(IsPIDNeuralNetwork()) return -1;
+ return TESTBIT(fFlags, kLQ2D) ? 2 : 1;
+}
#endif