[u/mrichter/AliRoot.git] / TRD / AliTRDrecoParam.h

#ifndef ALITRDRECOPARAM_H
#define ALITRDRECOPARAM_H
/* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
* See cxx source for full Copyright notice                               */

/* $Id$ */

////////////////////////////////////////////////////////////////////////////
//                                                                        //
//  Parameter class for the TRD reconstruction                            //
//                                                                        //
////////////////////////////////////////////////////////////////////////////

#ifndef ALIDETECTORRECOPARAM_H
#include "AliDetectorRecoParam.h"
#endif

class AliTRDrecoParam : public AliDetectorRecoParam
{
public:
  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 GetFindableClusters() const      { return fkFindable; }
  Double_t GetMaxTheta() const              { return fkMaxTheta; }
  Double_t GetMaxPhi() const                { return fkMaxPhi;   }
  Double_t GetPlaneQualityThreshold() const { return fkPlaneQualityThreshold; }
  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 GetTrackLikelihood() const       { return fkTrackLikelihood;       }
  inline void GetSysCovMatrix(Double_t *sys) const;  
  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;}

        
  static   AliTRDrecoParam *GetLowFluxParam();
  static   AliTRDrecoParam *GetHighFluxParam();
  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     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);  };
  void     SetNexponential(Int_t nexp)                        { fTCnexp          = nexp;   };
  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 
  };

  Double_t  fkMaxTheta;              // Maximum theta
  Double_t  fkMaxPhi;                // Maximum phi

  Double_t  fkRoad0y;                // Road for middle cluster
  Double_t  fkRoad0z;                // Road for middle cluster

  Double_t  fkRoad1y;                // Road in y for seeded cluster
  Double_t  fkRoad1z;                // Road in z for seeded cluster

  Double_t  fkRoad2y;                // Road in y for extrapolated cluster
  Double_t  fkRoad2z;                // Road in z for extrapolated cluster
  
  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  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  fkTrackLikelihood;       // Track likelihood for tracklets Rieman fit
  
  Double_t  fSysCovMatrix[5];        // Systematic uncertainty from calibration and alignment for each tracklet

  // Clusterization parameter
  Double_t  fMinMaxCutSigma;         // Threshold sigma noise pad middle
  Double_t  fMinLeftRightCutSigma;   // Threshold sigma noise sum pad
  Double_t  fClusMaxThresh;          // Threshold value for cluster maximum
  Double_t  fClusSigThresh;          // Threshold value for cluster signal
  Int_t     fTCnexp;                 // Number of exponentials, digital filter
  
  // ADC parameter
  Int_t     fNumberOfPresamples;     // number of presamples 
  Int_t     fNumberOfPostsamples;     // number of postsamples 

  ClassDef(AliTRDrecoParam, 4)       // Reconstruction parameters for TRD detector

};

//___________________________________________________
inline void AliTRDrecoParam::GetSysCovMatrix(Double_t *sys) const
{
  if(!sys) return;
  memcpy(sys, fSysCovMatrix, 5*sizeof(Double_t));
}

//___________________________________________________
inline void AliTRDrecoParam::SetSysCovMatrix(Double_t *sys)
{
  if(!sys) return;
  memcpy(fSysCovMatrix, sys, 5*sizeof(Double_t));
}


#endif
Commit	Line	Data
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
	18	class AliTRDrecoParam : public AliDetectorRecoParam
	19	{
3c66288b	20	public:
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; }
4ba1d6ae	37	Double_t GetRoad0z() const { return fkRoad0z; }
4ba1d6ae	38	Double_t GetRoad1y() const { return fkRoad1y; }
4ba1d6ae	39	Double_t GetRoad1z() const { return fkRoad1z; }
4ba1d6ae	40	Double_t GetRoad2y() const { return fkRoad2y; }
4ba1d6ae	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;}
3c66288b	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);}
a7ac01d2	58	Bool_t IsLUT() const { return TestBit(kLUT);}
a7ac01d2	59	Bool_t IsTailCancelation() const { return TestBit(kTC);}
a7ac01d2	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;}
91834b8d	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;}
0c19b2c9	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;}
fb872574	85	void SetNumberOfPostsamples(Int_t n) { fNumberOfPostsamples = n;}
4ba1d6ae	86
3c66288b	87	private:
a7ac01d2	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
4e459a9d	130	Int_t fNumberOfPostsamples; // number of postsamples
9716329b	131
3a039a31	132	ClassDef(AliTRDrecoParam, 4) // Reconstruction parameters for TRD detector
e4f2f73d	133
e4f2f73d	134	};
3afdab72	135
3afdab72	136	//___________________________________________________
7e88424f	137	inline void AliTRDrecoParam::GetSysCovMatrix(Double_t *sys) const
3afdab72	138	{
	139	if(!sys) return;
	140	memcpy(sys, fSysCovMatrix, 5*sizeof(Double_t));
	141	}
	142
	143	//___________________________________________________
	144	inline void AliTRDrecoParam::SetSysCovMatrix(Double_t *sys)
	145	{
	146	if(!sys) return;
	147	memcpy(fSysCovMatrix, sys, 5*sizeof(Double_t));
	148	}
	149
3c66288b	150
3c66288b	151
e4f2f73d	152	#endif