kTRDreconstructionTasks = 3
};
enum ETRDflags {
- kDriftGas,
- kVertexConstraint,
- kTailCancelation,
- kImproveTracklet,
- kLUT,
- kGAUS,
- kClusterSharing,
- kSteerPID,
- kEightSlices
- };
+ kDriftGas
+ ,kVertexConstraint
+ ,kTailCancelation
+ ,kImproveTracklet
+ ,kLUT
+ ,kGAUS
+ ,kClusterSharing
+ ,kSteerPID
+ ,kEightSlices
+ ,kCheckTimeConsistency
+ ,kLQ2D
+ };
AliTRDrecoParam();
AliTRDrecoParam(const AliTRDrecoParam &rec);
~AliTRDrecoParam() { }
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; }
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; };
- Int_t GetADCBaseline() const { return fADCBaseline; }
+ 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;}
- Bool_t IsArgon() const { return TESTBIT(fFlags, kDriftGas); }
- Bool_t IsXenon() const { return !TESTBIT(fFlags, kDriftGas); }
+ 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 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 UseTailCancelation() const { return TESTBIT(fFlags, kTailCancelation); }
static AliTRDrecoParam *GetLowFluxParam();
+ static AliTRDrecoParam *GetLowFluxHLTParam();
static AliTRDrecoParam *GetHighFluxParam();
+ static AliTRDrecoParam *GetHighFluxHLTParam();
static AliTRDrecoParam *GetCosmicTestParam();
- void SetArgon() {SETBIT(fFlags, kDriftGas);}
- void SetClusterSharing() {SETBIT(fFlags, kClusterSharing);}
- void SetEightSlices() {SETBIT(fFlags, kEightSlices);}
- void SetImproveTracklets() {SETBIT(fFlags, kImproveTracklet);}
- void SetLUT() {SETBIT(fFlags, kLUT);}
- void SetGAUS() {SETBIT(fFlags, kGAUS);}
- void SetPIDNeuralNetwork() {SETBIT(fFlags, kSteerPID);}
- void SetTailCancelation() {SETBIT(fFlags, kTailCancelation);}
- void SetXenon() {CLRBIT(fFlags, kDriftGas);}
+ 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 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 SetADCBaseline(Int_t baseline) { fADCBaseline = baseline; }
+ 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; };
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);
Double_t fkdNchdy; // dNch/dy
Double_t fkMaxTheta; // Maximum theta
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 fkRoadzMultiplicator; // Multiplicator for the Roads in z
Double_t fkFindable; // minimum ratio of clusters per tracklet supposed to be attached.
Double_t fkChi2Y; // Max chi2 on the y direction for seeding clusters Rieman fit
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 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 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
// Raw Reader Params
TString fRawStreamVersion; // Raw Reader version
- Int_t fADCBaseline; // ADC Baseline
// Clusterization parameter
Double_t fMinMaxCutSigma; // Threshold sigma noise pad middle
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, 9) // Reconstruction parameters for TRD detector
+ ClassDef(AliTRDrecoParam, 11) // Reconstruction parameters for TRD detector
};
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
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff