TrackerLevel2/inc/TrkLevel2.h

/**
 * \file TrkLevel2.h
 * \author Elena Vannuccini
 */
#ifndef trklevel2_h
#define trklevel2_h

#include <TObject.h>
#include <TObjArray.h>
#include <TClonesArray.h>
#include <TRefArray.h>
#include <TRef.h>

#include <TrkParams.h>
#include <TrkLevel1.h>

// z-coordinate of track state-vector reference-plane
#define ZINI 23.5 ///< z-coordinate of track state-vector reference-plane.
// (mechanical) z-coordinate of the tracker planes
#define ZTRK6 -22.23 //-22.22  //Aprile 2014... trovata differenza con mech_pos.dat
#define ZTRK5 -13.32 //-13.31  // ...speriamo bene... no comment
#define ZTRK4 -4.42//-4.41
#define ZTRK3  4.48//4.49
#define ZTRK2 13.38//13.39
#define ZTRK1 22.28//22.29
// magnet cavity dimensions
#define ZMAGNHIGH 21.83
#define ZMAGNLOW -21.83
#define XMAGNHIGH 8.07 
#define XMAGNLOW -8.07 
#define YMAGNHIGH 6.57 
#define YMAGNLOW -6.57 
// tof planes 
#define ZS11  53.74
#define ZS12  53.04
#define ZS21  23.94
#define ZS22  23.44
#define ZS31 -23.49
#define ZS32 -24.34

// (mechanical) x/y-coordinates of magnet cavity
/* #define XTRKL -8.1 */
/* #define XTRKR  8.1 */
/* #define YTRKL -6.6 */
/* #define YTRKR  6.6 */

/**
 * \brief Class to describe, by points, a particle trajectory in the apparatus. 
 *
 * The idea is to create it by integrating the equations of motion, given the 
 * track state vector and the z coordinates where to evaluate track position.
 */
// ==================================================================
class Trajectory : public TObject{
 private:

 public:

    int npoint; ///< number of evaluated points along the trajectory
    float* x;   //[npoint]
    float* y;   //[npoint]
    float* z;   //[npoint]
    float* thx; //[npoint]
    float* thy; //[npoint]
    float* tl;  //[npoint]

    Trajectory();
    Trajectory(int n);
    Trajectory(int n, float* pz);
    ~Trajectory(){Delete();}
    void Dump();
    void Delete();

    int DoTrack(float* al, float zini);
    int DoTrack(float* al){ return DoTrack(al,23.5); }

    int DoTrack2(float* al, float zini);
    int DoTrack2(float* al){ return DoTrack2(al,23.5); }

    float GetLength(){float l=0; for(int i=0; i<npoint;i++)l=l+tl[i]; return l;}
    float GetLength(int,int);

    ClassDef(Trajectory,3);

};
/**
 * \brief Class to describe fitted tracks. 
 *
 * A track is defined by the measured coordinates associated to it, the 
 * track status vector, plus other quantities.
 * A track may have an "image", due to the ambiguity in the y view.
 *
 * Cluster flags: xgood[6], ygood[6]
 * 
 * xgood/ygood = +/- 0lsccccccc
 * ccccccc ID (1-7483647) of the included cluster  
 * s       sensor number (1,2   - increasing y)
 * l       ladder number (1,2,3 - increasing x)
 * +/-     does-not/does include bad strips
 *
 */
// ==================================================================
class TrkTrack : public TObject {

private:

public:

    int   seqno;           ///<stored track sequential number
    int   image;           ///<sequential number of track-image
        
    /*! @brief Track state vector.
     *
     *  This is the track state vector on reference plane defined by #ZINI.
     *
     *  al[0]: X coordinate [cm]
     *  al[1]: Y coordinate [cm]
     *  al[2]: sin theta (altitude; theta = 0 is normal incidence)
     *  al[3]: phi (azimuth; phi = 0 is negative X axis)
     *  al[4]: deflection (with sign) [1/GV]
     *
     */
    float al[5];
    float coval[5][5];     ///<covariance matrix 
    int   xgood[6];        ///<cluster id for x-view (0 = view not included in the fit) 
    int   ygood[6];        ///<cluster id for y-view (0 = view not included in the fit) 
    float xm[6];           ///<measured x coordinates
    float ym[6];           ///<measured y coordinates 
    float zm[6];           ///<measured z coordinates 
    float resx[6];         ///<spatial resolution on X view
    float resy[6];         ///<spatial resolution on y view
    float tailx[6];        ///<spatial resolution tail on X view
    float taily[6];        ///<spatial resolution tail on y view
    float chi2;            ///<chi2
    int   nstep;           ///<n.step
    float xv[6];           ///<calculated x coordinates
    float yv[6];           ///<calculated y coordinates
    float zv[6];           ///<calculated z coordinates
    float axv[6];          ///<calculated angles (deg) on x view
    float ayv[6];          ///<calculated angles (deg) on y view
    float dedx_x[6];       ///<dE/dx in MIP (<0 if saturated)
    float dedx_y[6];       ///<dE/dx in MIP (<0 if saturated) 
    int   multmaxx[6];     ///<cluster multiplicity and strip of maximum on x view
    int   multmaxy[6];     ///<cluster multiplicity and strip of maximum on y view
    float seedx[6];        ///< seed of the cluster x
    float seedy[6];        ///< seed of the cluster y
    float xpu[6];          ///< x coordinate in pitch units
    float ypu[6];          ///< y coordinate in pitch units

    float xGF[14];         ///<calculated x coordinates on GF reference planes
    float yGF[14];         ///<calculated y coordinates on GF reference planes

    TrkTrack();
    TrkTrack(const TrkTrack&);

    ~TrkTrack(){ Delete(); }
        
    void Dump();
    void Clear();
    void Clear(Option_t *option){Clear();}
    void Delete();
    void Copy(TrkTrack&);
//    void Set();

    Int_t  GetSeqNo(){return seqno;}        ///< Returns the track sequential number
    Int_t  GetImageSeqNo(){return image;}   ///< Returns the track image sequential number
    Bool_t HasImage(){return !(image==-1);} ///< Returns true if the track has an image
    int DoTrack(Trajectory* t);             ///< Evaluates the trajectory in the apparatus.
    int DoTrack2(Trajectory* t);            ///< Evaluates the trajectory in the apparatus.
    float BdL(){return 0;}              ///< Evaluates the integral of B*dL along the track.
    Int_t GetNX(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=(Int_t)XGood(i); return n;} 
    Int_t GetNY(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=(Int_t)YGood(i); return n;}
    Int_t GetNXY(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=(Int_t)YGood(i)*XGood(i); return n;}
    Int_t GetNtot(){return GetNX()+GetNY();}
    Int_t GetNhit() ;
    Float_t GetRigidity();
    Float_t GetDeflection();
    Bool_t IsSaturated(int,int);
    Bool_t IsSaturated(int);
    Bool_t IsSaturated();
    Bool_t IsBad(int,int);
    Float_t GetDEDX();
    Float_t GetDEDX(int ip);
    Float_t GetDEDX(int ip,int iv);
    Int_t GetLeverArmXY();
    Int_t GetLeverArmX();
    Int_t GetLeverArmY();
    Float_t GetChi2X();
    Float_t GetChi2Y();
    Float_t GetLnLX();
    Float_t GetLnLY();
    Float_t GetMDR(){return (coval[4][4]>0 ? 1./sqrt(coval[4][4]) : 0.); };

    Float_t GetEffectiveAngle(int ip, int iv);
    
    void SetMeasure(double *xmeas, double *ymeas, double *zmeas);
    void SetResolution(double *rx, double *ry);
    void SetTail(double *tx, double *ty, double factor);
    void SetStudentParam(int flag);
    void SetGood(int *xg, int *yg);
    void LoadField(TString s);
    void Fit(double pfixed, int& fail, int iprint, int froml1);
    void Fit(double pfixed, int& fail, int iprint){ Fit(pfixed,fail,iprint,0); }
    void FitReset();
    void SetTrackingMode(int trackmode);
    void SetPrecisionFactor(double fact);
    void SetStepMin(int istepmin);
    void SetDeltaB(int id, double db);

    Bool_t IsInsideCavity(float);
    Bool_t IsInsideCavity(){ return IsInsideCavity(0.); }
    Bool_t IsInsideAcceptance(float);
    Bool_t IsInsideAcceptance(){ return IsInsideAcceptance(0.); }
    Bool_t IsInsideGFSurface(const char*,float);
    Bool_t IsInsideGFSurface(const char* surf){ return IsInsideGFSurface(surf,0.); }

    Bool_t EvaluateClusterPositions();

    void FillMiniStruct(cMini2track&);
    void SetFromMiniStruct(cMini2track*);
    void FillMiniStruct(){ extern cMini2track track_; FillMiniStruct(track_); };
    void SetFromMiniStruct(){extern cMini2track track_; SetFromMiniStruct(&track_);};
    
    Int_t GetClusterX_ID(int ip);
    Int_t GetClusterY_ID(int ip);
    Int_t GetLadder(int ip);
    Int_t GetSensor(int ip);
    Bool_t XGood(int ip){ return GetClusterX_ID(ip)!=-1; }
    Bool_t YGood(int ip){ return GetClusterY_ID(ip)!=-1; }
    void ResetXGood(int ip){ xgood[ip]=0; }
    void ResetYGood(int ip){ ygood[ip]=0; }
/*     void SetXGood(int ip, int clid, int is); */
/*     void SetYGood(int ip, int clid, int is); */
    void SetXGood(int ip, int clid, int il, int is, bool bad);
    void SetYGood(int ip, int clid, int il, int is, bool bad);
    void SetXGood(int ip, int clid, int il, int is){ SetXGood(ip,clid,il,is,false); }
    void SetYGood(int ip, int clid, int il, int is){ SetYGood(ip,clid,il,is,false); }


    Bool_t BadClusterX(int ip){ return IsBad(ip,0); }
    Bool_t BadClusterY(int ip){ return IsBad(ip,1); }

    Bool_t SaturatedClusterX(int ip){ return IsSaturated(ip,0); }
    Bool_t SaturatedClusterY(int ip){ return IsSaturated(ip,1); }

    Int_t GetClusterX_Multiplicity(int ip){ return (Int_t)(multmaxx[ip]/10000); }
    Int_t GetClusterY_Multiplicity(int ip){ return (Int_t)(multmaxy[ip]/10000); }
    Int_t GetClusterX_MaxStrip(int ip){ return (Int_t)(multmaxx[ip]%10000); }
    Int_t GetClusterY_MaxStrip(int ip){ return (Int_t)(multmaxy[ip]%10000); }
    Float_t GetClusterX_Seed(int ip){ return seedx[ip]; }
    Float_t GetClusterY_Seed(int ip){ return seedy[ip]; }
/*     Float_t GetClusterX_oordinatePU(int ip); */
/*     Float_t GetClusterY_CoordinatePU(int ip); */
    
    Float_t GetYav();
    Float_t GetXav();
    Float_t GetZav();

    Int_t GetNColumns();

    Float_t GetDEDX_max(int ip, int iv);
    Float_t GetDEDX_max(int iv){ return GetDEDX_max(-1,iv); }
    Float_t GetDEDX_max(){ return GetDEDX_max(-1,-1); }
    Float_t GetDEDX_min(int ip, int iv);
    Float_t GetDEDX_min(int iv){ return GetDEDX_min(-1,iv); }
    Float_t GetDEDX_min(){ return GetDEDX_min(-1,-1); }

    Float_t GetResidual_max(int ip, int iv);
    Float_t GetResidual_max(int iv){ return GetResidual_max(-1,iv); }
    Float_t GetResidual_max(){ return GetResidual_max(-1,-1); }
    Float_t GetResidual_av(int ip, int iv);
    Float_t GetResidual_av(int iv){ return GetResidual_av(-1,iv); }
    Float_t GetResidual_av(){ return GetResidual_av(-1,-1); }

    Int_t GetClusterX_Multiplicity_max();
    Int_t GetClusterX_Multiplicity_min();
    Int_t GetClusterY_Multiplicity_max();
    Int_t GetClusterY_Multiplicity_min();

    Float_t GetClusterX_Seed_min();
    Float_t GetClusterY_Seed_min();

    TrkTrack* GetTrkTrack(){return this;}

    friend class TrkLevel2;

    ClassDef(TrkTrack,6);

};
/**
 * \brief Class to describe single clusters ("singlets"). 
 *
 * Single clusters are clusters not associated to any track.
 */
class TrkSinglet : public TObject {

private:
        

public:
        
    int plane;       ///<plane 
    float coord[2];  ///<coordinate (on sensor 1 and 2)
    float sgnl;      ///<cluster signal in MIP (<0 if saturated)
    int multmax;     ///<cluster multiplicity and strip of maximum

    TrkSinglet();
    TrkSinglet(const TrkSinglet&);
    ~TrkSinglet(){Delete();}

    void Dump();
    void Clear();
    void Clear(Option_t *option){Clear();}
    void Delete(){Clear();};
    Float_t GetSignal(){return fabs(sgnl);}
    Bool_t IsSaturated(){return (sgnl<0); }

    Bool_t IsBad()                 { return multmax<=0; }
    Int_t GetCluster_Multiplicity(){ return (Int_t)(abs(multmax)/10000); }
    Int_t GetCluster_MaxStrip()    { return (Int_t)(abs(multmax)%10000); }


    friend class TrkLevel2;

    ClassDef(TrkSinglet,4);

};

/**
 * \brief Class to describe tracker LEVEL2 data.
 *
 * A tracker events is defined by some general variables, plus the collection of all the fitted tracks and all 
 * single clusters on X and Y views. 
 * Tracks and single clusters ("singlets") are described by the classes TrkTrack and TrkSinglet respectivelly.
 * 
 * Each track may have an "image", due to the ambiguity on the Y view, which is stored also. 
 * Thus, the number of stored tracks ( ntrk() ) differs from the number of "physical" tracks ( GetNTracks() ). 
 * Proper methods allow to sort tracks and select the physical ones ( GetTracks() ).
 *
 * The event status indicates the processing status of data from each DSP, according to the following
 * notation:
 *
 * LSB --> 0 missing packet
 *         1 CRC error
 *         2 on-line software alarm (latch-up, timeout ecc...)
 *         3 jump in the trigger counter
 *         4 decode error
 *         5 n.clusters > maximum number (level1 processing)
 *         6 
 *         7 
 *         8 n.clusters > maximum value (level2 processing)
 *         9 n.couples per plane > maximum values (vector dimention)
 *         10 n.doublets > maximum values
 *         11 n.triplets > maximum values
 *         12 n.yz-clouds > maximum values
 *         13 n.xz-clouds > maximum values 
 *         14 n.candidate-tracks > maximum values
 *         15 n.couples per plane > maximum values (for Hough transform)
 * MSB --> 16 
 *         
 *
 * For all data processed before June 2007 the event status was coded according to
 * a different rule:
 *
 * Status of level1 processing
 *  0 -- OK  
 *  1 -- missing packet
 *  2 -- 1  CRC error
 *  3 -- 2 on-line software alarm (latch-up flags asserted or n.transmitted-words = 0)
 *  4 -- 3 jump in the trigger counter
 * 10 -- 4 decode error
 * 11 -- 5  n.clusters > maximum number (for level1 processing)
 * Status of level2 processing
 * 21 -- 0 n.clusters > maximum value (for level2 processing)
 * 22 -- 1 n.couples per plane > maximum values (vector dimention)
 * 23 -- 2 n.doublets > maximum values 
 * 24 -- 3 n.triplets > maximum values 
 * 25 -- 4 n.yz-clouds > maximum values 
 * 26 -- 5 n.xz-clouds > maximum values 
 * 27 -- 6 n.candidate-tracks > maximum values 
 * 28 -- 7 n.couples per plane > maximum values (for Hough transform)
 *  
 * 
 */
class TrkLevel2 : public TObject {

 private:
 
 public:

    Int_t         good[12];       ///< event status
    UInt_t        VKmask[12];     ///< Viking-chip mask
    UInt_t        VKflag[12];     ///< Viking-chip flag

    TClonesArray *Track;        ///< fitted tracks
    TClonesArray *SingletX;     ///< x singlets
    TClonesArray *SingletY;     ///< y singlets

    TrkLevel2();
//    TrkLevel2(cTrkLevel2 *);
    ~TrkLevel2(){Delete();}
        
    void Clear();
    void Clear(Option_t *option){Clear();}
    void Delete();
    void Set();
    void SetTrackArray(TClonesArray *track);///<set pointer to the track array
    TClonesArray*  GetTrackArray(){return Track;}///< returns pointer to the track array
    TClonesArray** GetPointerToTrackArray(){return &Track;}///< returns pointer to pointer to the track array
    int UnpackError(){ for(int i=0; i<12; i++)if(!StatusCheck(i,0x12))return 1; return 0;}
    
    int ntrk() {return Track->GetEntries();}    ///< number of stored track
    int nclsx(){return SingletX->GetEntries();} ///< number of x singlets 
    int nclsy(){return SingletY->GetEntries();} ///< number of y singlets 

    void Dump();
    void SetFromLevel2Struct(cTrkLevel2 *, TrkLevel1 *);
    void SetFromLevel2Struct(cTrkLevel2 *s2){ SetFromLevel2Struct(s2, NULL);          }
    void SetFromLevel2Struct(TrkLevel1 *l1) { SetFromLevel2Struct(&level2event_, l1); }    
    void SetFromLevel2Struct()              { SetFromLevel2Struct(&level2event_);     }    
    void GetLevel2Struct(cTrkLevel2 *) const;
    void LoadField(TString);
    float GetBX(float* v){return TrkParams::GetBX(v);} ///< Bx (kGauss)
    float GetBY(float* v){return TrkParams::GetBY(v);} ///< By (kGauss)
    float GetBZ(float* v){return TrkParams::GetBZ(v);} ///< Bz (kGauss)
    Float_t GetZTrk(Int_t);
    Float_t GetXTrkLeft(){return XMAGNLOW;}
    Float_t GetXTrkRight(){return XMAGNHIGH;}
    Float_t GetYTrkLeft(){return YMAGNLOW;}
    Float_t GetYTrkRight(){return YMAGNHIGH;}
    
    Bool_t IsMaskedVK(int,int);
    Bool_t GetVKMask(int,int);
    Bool_t GetVKFlag(int,int);

    TrkSinglet   *GetSingletX(int);
    TrkSinglet   *GetSingletY(int);
    
    TrkTrack     *GetStoredTrack(int i);
    Int_t         GetSeqNo(Int_t i)  {return (((TrkTrack *)Track->At(i))->seqno);} ///< Returns track sequential number

    TRefArray *GetTracks_NFitSorted();
    TRefArray *GetTracks(){return this->GetTracks_NFitSorted();}
    
    Int_t     GetNTracks();
    TrkTrack* GetTrack(int i);
    TrkTrack* GetTrackImage(int i);
    
    TrkLevel2*     GetTrkLevel2(){return this;}
    void   StatusDump(int view);
    Bool_t StatusCheck(int view, int flagmask);

    ClassDef(TrkLevel2,4);

};

#endif
1	mocchiut	1.1	/**
2			* \file TrkLevel2.h
3			* \author Elena Vannuccini
4			*/
5			#ifndef trklevel2_h
6			#define trklevel2_h
7
8			#include <TObject.h>
9			#include <TObjArray.h>
10			#include <TClonesArray.h>
11	pam-fi	1.7	#include <TRefArray.h>
12	pam-fi	1.8	#include <TRef.h>
13	pam-fi	1.3
14	pam-fi	1.18	#include <TrkParams.h>
15	pam-fi	1.8	#include <TrkLevel1.h>
16	mocchiut	1.1
17	pam-fi	1.2	// z-coordinate of track state-vector reference-plane
18	pam-fi	1.43	#define ZINI 23.5 ///< z-coordinate of track state-vector reference-plane.
19	pam-fi	1.5	// (mechanical) z-coordinate of the tracker planes
20	pam-ts	1.46	#define ZTRK6 -22.23 //-22.22 //Aprile 2014... trovata differenza con mech_pos.dat
21			#define ZTRK5 -13.32 //-13.31 // ...speriamo bene... no comment
22			#define ZTRK4 -4.42//-4.41
23			#define ZTRK3 4.48//4.49
24			#define ZTRK2 13.38//13.39
25			#define ZTRK1 22.28//22.29
26	pam-fi	1.27	// magnet cavity dimensions
27			#define ZMAGNHIGH 21.83
28			#define ZMAGNLOW -21.83
29			#define XMAGNHIGH 8.07
30			#define XMAGNLOW -8.07
31			#define YMAGNHIGH 6.57
32			#define YMAGNLOW -6.57
33	pam-fi	1.35	// tof planes
34			#define ZS11 53.74
35			#define ZS12 53.04
36			#define ZS21 23.94
37			#define ZS22 23.44
38			#define ZS31 -23.49
39			#define ZS32 -24.34
40
41	pam-fi	1.5	// (mechanical) x/y-coordinates of magnet cavity
42	pam-fi	1.34	/* #define XTRKL -8.1 */
43			/* #define XTRKR 8.1 */
44			/* #define YTRKL -6.6 */
45			/* #define YTRKR 6.6 */
46	pam-fi	1.2
47	mocchiut	1.1	/**
48			* \brief Class to describe, by points, a particle trajectory in the apparatus.
49			*
50			* The idea is to create it by integrating the equations of motion, given the
51			* track state vector and the z coordinates where to evaluate track position.
52			*/
53			// ==================================================================
54			class Trajectory : public TObject{
55			private:
56
57			public:
58
59			int npoint; ///< number of evaluated points along the trajectory
60	pam-fi	1.35	float* x; //[npoint]
61			float* y; //[npoint]
62			float* z; //[npoint]
63			float* thx; //[npoint]
64			float* thy; //[npoint]
65			float* tl; //[npoint]
66	mocchiut	1.1
67	pam-fi	1.2	Trajectory();
68	mocchiut	1.1	Trajectory(int n);
69			Trajectory(int n, float* pz);
70	pam-fi	1.44	~Trajectory(){Delete();}
71	mocchiut	1.1	void Dump();
72	pam-fi	1.15	void Delete();
73	mocchiut	1.1
74	pam-fi	1.41	int DoTrack(float* al, float zini);
75	pam-fi	1.44	int DoTrack(float* al){ return DoTrack(al,23.5); }
76	pam-fi	1.41
77			int DoTrack2(float* al, float zini);
78	pam-fi	1.44	int DoTrack2(float* al){ return DoTrack2(al,23.5); }
79	pam-fi	1.41
80	pam-fi	1.44	float GetLength(){float l=0; for(int i=0; i<npoint;i++)l=l+tl[i]; return l;}
81	pam-fi	1.2	float GetLength(int,int);
82
83	pam-fi	1.35	ClassDef(Trajectory,3);
84	mocchiut	1.1
85			};
86			/**
87			* \brief Class to describe fitted tracks.
88			*
89			* A track is defined by the measured coordinates associated to it, the
90			* track status vector, plus other quantities.
91			* A track may have an "image", due to the ambiguity in the y view.
92	pam-fi	1.24	*
93			* Cluster flags: xgood[6], ygood[6]
94			*
95			* xgood/ygood = +/- 0lsccccccc
96	pam-fi	1.35	* ccccccc ID (1-7483647) of the included cluster
97			* s sensor number (1,2 - increasing y)
98			* l ladder number (1,2,3 - increasing x)
99			* +/- does-not/does include bad strips
100			*
101	mocchiut	1.1	*/
102			// ==================================================================
103			class TrkTrack : public TObject {
104
105			private:
106
107	pam-fi	1.32	public:
108
109	pam-fi	1.3	int seqno; ///<stored track sequential number
110			int image; ///<sequential number of track-image
111	pam-fi	1.8
112	pam-fi	1.43	/*! @brief Track state vector.
113			*
114			* This is the track state vector on reference plane defined by #ZINI.
115			*
116			* al[0]: X coordinate [cm]
117			* al[1]: Y coordinate [cm]
118			* al[2]: sin theta (altitude; theta = 0 is normal incidence)
119			* al[3]: phi (azimuth; phi = 0 is negative X axis)
120			* al[4]: deflection (with sign) [1/GV]
121			*
122			*/
123			float al[5];
124	mocchiut	1.1	float coval[5][5]; ///<covariance matrix
125	pam-fi	1.31	int xgood[6]; ///<cluster id for x-view (0 = view not included in the fit)
126			int ygood[6]; ///<cluster id for y-view (0 = view not included in the fit)
127	mocchiut	1.1	float xm[6]; ///<measured x coordinates
128			float ym[6]; ///<measured y coordinates
129			float zm[6]; ///<measured z coordinates
130			float resx[6]; ///<spatial resolution on X view
131			float resy[6]; ///<spatial resolution on y view
132	pam-fi	1.24	float tailx[6]; ///<spatial resolution tail on X view
133			float taily[6]; ///<spatial resolution tail on y view
134	mocchiut	1.1	float chi2; ///<chi2
135	pam-fi	1.31	int nstep; ///<n.step
136	pam-fi	1.12	float xv[6]; ///<calculated x coordinates
137	mocchiut	1.1	float yv[6]; ///<calculated y coordinates
138			float zv[6]; ///<calculated z coordinates
139			float axv[6]; ///<calculated angles (deg) on x view
140			float ayv[6]; ///<calculated angles (deg) on y view
141	pam-fi	1.24	float dedx_x[6]; ///<dE/dx in MIP (<0 if saturated)
142			float dedx_y[6]; ///<dE/dx in MIP (<0 if saturated)
143	pam-fi	1.31	int multmaxx[6]; ///<cluster multiplicity and strip of maximum on x view
144			int multmaxy[6]; ///<cluster multiplicity and strip of maximum on y view
145			float seedx[6]; ///< seed of the cluster x
146			float seedy[6]; ///< seed of the cluster y
147			float xpu[6]; ///< x coordinate in pitch units
148			float ypu[6]; ///< y coordinate in pitch units
149	pam-fi	1.3
150	pam-fi	1.35	float xGF[14]; ///<calculated x coordinates on GF reference planes
151			float yGF[14]; ///<calculated y coordinates on GF reference planes
152
153	mocchiut	1.1	TrkTrack();
154			TrkTrack(const TrkTrack&);
155
156	pam-fi	1.44	~TrkTrack(){ Delete(); }
157	pam-fi	1.10
158	mocchiut	1.1	void Dump();
159	pam-fi	1.12	void Clear();
160	pam-fi	1.44	void Clear(Option_t *option){Clear();}
161	pam-fi	1.12	void Delete();
162	pam-fi	1.15	void Copy(TrkTrack&);
163	pam-fi	1.16	// void Set();
164
165	pam-fi	1.3	Int_t GetSeqNo(){return seqno;} ///< Returns the track sequential number
166			Int_t GetImageSeqNo(){return image;} ///< Returns the track image sequential number
167	mocchiut	1.1	Bool_t HasImage(){return !(image==-1);} ///< Returns true if the track has an image
168	pam-fi	1.35	int DoTrack(Trajectory* t); ///< Evaluates the trajectory in the apparatus.
169			int DoTrack2(Trajectory* t); ///< Evaluates the trajectory in the apparatus.
170	pam-fi	1.43	float BdL(){return 0;} ///< Evaluates the integral of B*dL along the track.
171	pam-fi	1.44	Int_t GetNX(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=(Int_t)XGood(i); return n;}
172			Int_t GetNY(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=(Int_t)YGood(i); return n;}
173			Int_t GetNXY(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=(Int_t)YGood(i)*XGood(i); return n;}
174			Int_t GetNtot(){return GetNX()+GetNY();}
175	pam-ts	1.46	Int_t GetNhit() ;
176	mocchiut	1.1	Float_t GetRigidity();
177			Float_t GetDeflection();
178	pam-fi	1.24	Bool_t IsSaturated(int,int);
179			Bool_t IsSaturated(int);
180			Bool_t IsSaturated();
181			Bool_t IsBad(int,int);
182	mocchiut	1.1	Float_t GetDEDX();
183	pam-fi	1.28	Float_t GetDEDX(int ip);
184			Float_t GetDEDX(int ip,int iv);
185	pam-fi	1.39	Int_t GetLeverArmXY();
186	pam-fi	1.24	Int_t GetLeverArmX();
187			Int_t GetLeverArmY();
188	pam-fi	1.29	Float_t GetChi2X();
189			Float_t GetChi2Y();
190			Float_t GetLnLX();
191			Float_t GetLnLY();
192	pam-ts	1.47	Float_t GetMDR(){return (coval[4][4]>0 ? 1./sqrt(coval[4][4]) : 0.); };
193	pam-fi	1.12
194	pam-fi	1.30	Float_t GetEffectiveAngle(int ip, int iv);
195
196	pam-fi	1.12	void SetMeasure(double xmeas, double ymeas, double *zmeas);
197			void SetResolution(double rx, double ry);
198	pam-fi	1.26	void SetTail(double tx, double ty, double factor);
199			void SetStudentParam(int flag);
200	pam-fi	1.12	void SetGood(int xg, int yg);
201			void LoadField(TString s);
202	pam-fi	1.25	void Fit(double pfixed, int& fail, int iprint, int froml1);
203	pam-fi	1.44	void Fit(double pfixed, int& fail, int iprint){ Fit(pfixed,fail,iprint,0); }
204	pam-fi	1.12	void FitReset();
205	pam-fi	1.19	void SetTrackingMode(int trackmode);
206	pam-fi	1.21	void SetPrecisionFactor(double fact);
207			void SetStepMin(int istepmin);
208	pam-fi	1.33	void SetDeltaB(int id, double db);
209
210	pam-fi	1.35	Bool_t IsInsideCavity(float);
211	pam-fi	1.44	Bool_t IsInsideCavity(){ return IsInsideCavity(0.); }
212	pam-fi	1.42	Bool_t IsInsideAcceptance(float);
213	pam-fi	1.44	Bool_t IsInsideAcceptance(){ return IsInsideAcceptance(0.); }
214	pam-fi	1.42	Bool_t IsInsideGFSurface(const char*,float);
215	pam-fi	1.44	Bool_t IsInsideGFSurface(const char* surf){ return IsInsideGFSurface(surf,0.); }
216	pam-fi	1.14
217	pam-fi	1.28	Bool_t EvaluateClusterPositions();
218	pam-fi	1.25
219	pam-fi	1.14	void FillMiniStruct(cMini2track&);
220			void SetFromMiniStruct(cMini2track*);
221	pam-fi	1.45	void FillMiniStruct(){ extern cMini2track track_; FillMiniStruct(track_); };
222			void SetFromMiniStruct(){extern cMini2track track_; SetFromMiniStruct(&track_);};
223	pam-fi	1.12
224	pam-fi	1.24	Int_t GetClusterX_ID(int ip);
225			Int_t GetClusterY_ID(int ip);
226			Int_t GetLadder(int ip);
227			Int_t GetSensor(int ip);
228	pam-fi	1.44	Bool_t XGood(int ip){ return GetClusterX_ID(ip)!=-1; }
229			Bool_t YGood(int ip){ return GetClusterY_ID(ip)!=-1; }
230			void ResetXGood(int ip){ xgood[ip]=0; }
231			void ResetYGood(int ip){ ygood[ip]=0; }
232	pam-fi	1.36	/* void SetXGood(int ip, int clid, int is); */
233			/* void SetYGood(int ip, int clid, int is); */
234			void SetXGood(int ip, int clid, int il, int is, bool bad);
235			void SetYGood(int ip, int clid, int il, int is, bool bad);
236	pam-fi	1.44	void SetXGood(int ip, int clid, int il, int is){ SetXGood(ip,clid,il,is,false); }
237			void SetYGood(int ip, int clid, int il, int is){ SetYGood(ip,clid,il,is,false); }
238	pam-fi	1.36
239	pam-fi	1.24
240	pam-fi	1.44	Bool_t BadClusterX(int ip){ return IsBad(ip,0); }
241			Bool_t BadClusterY(int ip){ return IsBad(ip,1); }
242	pam-fi	1.24
243	pam-fi	1.44	Bool_t SaturatedClusterX(int ip){ return IsSaturated(ip,0); }
244			Bool_t SaturatedClusterY(int ip){ return IsSaturated(ip,1); }
245
246			Int_t GetClusterX_Multiplicity(int ip){ return (Int_t)(multmaxx[ip]/10000); }
247			Int_t GetClusterY_Multiplicity(int ip){ return (Int_t)(multmaxy[ip]/10000); }
248			Int_t GetClusterX_MaxStrip(int ip){ return (Int_t)(multmaxx[ip]%10000); }
249			Int_t GetClusterY_MaxStrip(int ip){ return (Int_t)(multmaxy[ip]%10000); }
250			Float_t GetClusterX_Seed(int ip){ return seedx[ip]; }
251			Float_t GetClusterY_Seed(int ip){ return seedy[ip]; }
252	pam-fi	1.36	/* Float_t GetClusterX_oordinatePU(int ip); */
253	pam-fi	1.31	/* Float_t GetClusterY_CoordinatePU(int ip); */
254
255	pam-fi	1.34	Float_t GetYav();
256			Float_t GetXav();
257			Float_t GetZav();
258
259			Int_t GetNColumns();
260
261			Float_t GetDEDX_max(int ip, int iv);
262	pam-fi	1.44	Float_t GetDEDX_max(int iv){ return GetDEDX_max(-1,iv); }
263			Float_t GetDEDX_max(){ return GetDEDX_max(-1,-1); }
264	pam-fi	1.34	Float_t GetDEDX_min(int ip, int iv);
265	pam-fi	1.44	Float_t GetDEDX_min(int iv){ return GetDEDX_min(-1,iv); }
266			Float_t GetDEDX_min(){ return GetDEDX_min(-1,-1); }
267	pam-fi	1.34
268			Float_t GetResidual_max(int ip, int iv);
269	pam-fi	1.44	Float_t GetResidual_max(int iv){ return GetResidual_max(-1,iv); }
270			Float_t GetResidual_max(){ return GetResidual_max(-1,-1); }
271	pam-fi	1.37	Float_t GetResidual_av(int ip, int iv);
272	pam-fi	1.44	Float_t GetResidual_av(int iv){ return GetResidual_av(-1,iv); }
273			Float_t GetResidual_av(){ return GetResidual_av(-1,-1); }
274	pam-fi	1.34
275			Int_t GetClusterX_Multiplicity_max();
276			Int_t GetClusterX_Multiplicity_min();
277			Int_t GetClusterY_Multiplicity_max();
278			Int_t GetClusterY_Multiplicity_min();
279
280			Float_t GetClusterX_Seed_min();
281			Float_t GetClusterY_Seed_min();
282	pam-fi	1.31
283	pam-fi	1.44	TrkTrack* GetTrkTrack(){return this;}
284	mocchiut	1.1
285	pam-fi	1.3	friend class TrkLevel2;
286
287	pam-ts	1.47	ClassDef(TrkTrack,6);
288	mocchiut	1.1
289			};
290			/**
291			* \brief Class to describe single clusters ("singlets").
292			*
293			* Single clusters are clusters not associated to any track.
294			*/
295			class TrkSinglet : public TObject {
296
297			private:
298	pam-fi	1.8
299	mocchiut	1.1
300			public:
301	pam-fi	1.8
302	mocchiut	1.1	int plane; ///<plane
303			float coord[2]; ///<coordinate (on sensor 1 and 2)
304	pam-fi	1.24	float sgnl; ///<cluster signal in MIP (<0 if saturated)
305	pam-fi	1.35	int multmax; ///<cluster multiplicity and strip of maximum
306	mocchiut	1.1
307			TrkSinglet();
308			TrkSinglet(const TrkSinglet&);
309	pam-fi	1.44	~TrkSinglet(){Delete();}
310	mocchiut	1.1
311			void Dump();
312	pam-fi	1.15	void Clear();
313	pam-fi	1.44	void Clear(Option_t *option){Clear();}
314	pam-fi	1.15	void Delete(){Clear();};
315	pam-fi	1.24	Float_t GetSignal(){return fabs(sgnl);}
316	pam-fi	1.44	Bool_t IsSaturated(){return (sgnl<0); }
317	pam-fi	1.35
318	pam-fi	1.44	Bool_t IsBad() { return multmax<=0; }
319			Int_t GetCluster_Multiplicity(){ return (Int_t)(abs(multmax)/10000); }
320			Int_t GetCluster_MaxStrip() { return (Int_t)(abs(multmax)%10000); }
321	pam-fi	1.35
322
323	pam-fi	1.3	friend class TrkLevel2;
324
325	pam-fi	1.35	ClassDef(TrkSinglet,4);
326	mocchiut	1.1
327			};
328
329			/**
330			* \brief Class to describe tracker LEVEL2 data.
331			*
332			* A tracker events is defined by some general variables, plus the collection of all the fitted tracks and all
333			* single clusters on X and Y views.
334			* Tracks and single clusters ("singlets") are described by the classes TrkTrack and TrkSinglet respectivelly.
335			*
336			* Each track may have an "image", due to the ambiguity on the Y view, which is stored also.
337			* Thus, the number of stored tracks ( ntrk() ) differs from the number of "physical" tracks ( GetNTracks() ).
338			* Proper methods allow to sort tracks and select the physical ones ( GetTracks() ).
339	pam-fi	1.28	*
340			* The event status indicates the processing status of data from each DSP, according to the following
341			* notation:
342			*
343	pam-fi	1.35	* LSB --> 0 missing packet
344			* 1 CRC error
345			* 2 on-line software alarm (latch-up, timeout ecc...)
346			* 3 jump in the trigger counter
347			* 4 decode error
348			* 5 n.clusters > maximum number (level1 processing)
349			* 6
350			* 7
351			* 8 n.clusters > maximum value (level2 processing)
352			* 9 n.couples per plane > maximum values (vector dimention)
353			* 10 n.doublets > maximum values
354			* 11 n.triplets > maximum values
355			* 12 n.yz-clouds > maximum values
356			* 13 n.xz-clouds > maximum values
357			* 14 n.candidate-tracks > maximum values
358			* 15 n.couples per plane > maximum values (for Hough transform)
359			* MSB --> 16
360	pam-fi	1.28	*
361			*
362	pam-fi	1.39	* For all data processed before June 2007 the event status was coded according to
363			* a different rule:
364			*
365			* Status of level1 processing
366			* 0 -- OK
367			* 1 -- missing packet
368			* 2 -- 1 CRC error
369			* 3 -- 2 on-line software alarm (latch-up flags asserted or n.transmitted-words = 0)
370			* 4 -- 3 jump in the trigger counter
371			* 10 -- 4 decode error
372			* 11 -- 5 n.clusters > maximum number (for level1 processing)
373			* Status of level2 processing
374			* 21 -- 0 n.clusters > maximum value (for level2 processing)
375			* 22 -- 1 n.couples per plane > maximum values (vector dimention)
376			* 23 -- 2 n.doublets > maximum values
377			* 24 -- 3 n.triplets > maximum values
378			* 25 -- 4 n.yz-clouds > maximum values
379			* 26 -- 5 n.xz-clouds > maximum values
380			* 27 -- 6 n.candidate-tracks > maximum values
381			* 28 -- 7 n.couples per plane > maximum values (for Hough transform)
382	pam-fi	1.28	*
383			*
384	mocchiut	1.1	*/
385			class TrkLevel2 : public TObject {
386
387			private:
388	pam-fi	1.15
389	mocchiut	1.1	public:
390
391	pam-fi	1.15	Int_t good[12]; ///< event status
392	pam-fi	1.24	UInt_t VKmask[12]; ///< Viking-chip mask
393			UInt_t VKflag[12]; ///< Viking-chip flag
394	mocchiut	1.1
395			TClonesArray *Track; ///< fitted tracks
396			TClonesArray *SingletX; ///< x singlets
397			TClonesArray *SingletY; ///< y singlets
398
399			TrkLevel2();
400			// TrkLevel2(cTrkLevel2 *);
401	pam-fi	1.44	~TrkLevel2(){Delete();}
402	pam-fi	1.10
403	pam-fi	1.11	void Clear();
404	pam-fi	1.44	void Clear(Option_t *option){Clear();}
405	pam-fi	1.11	void Delete();
406	pam-fi	1.16	void Set();
407	pam-ts	1.47	void SetTrackArray(TClonesArray *track);///<set pointer to the track array
408			TClonesArray* GetTrackArray(){return Track;}///< returns pointer to the track array
409			TClonesArray** GetPointerToTrackArray(){return &Track;}///< returns pointer to pointer to the track array
410	pam-fi	1.44	int UnpackError(){ for(int i=0; i<12; i++)if(!StatusCheck(i,0x12))return 1; return 0;}
411	pam-fi	1.11
412			int ntrk() {return Track->GetEntries();} ///< number of stored track
413	mocchiut	1.1	int nclsx(){return SingletX->GetEntries();} ///< number of x singlets
414			int nclsy(){return SingletY->GetEntries();} ///< number of y singlets
415
416			void Dump();
417	pam-fi	1.11	void SetFromLevel2Struct(cTrkLevel2 , TrkLevel1 );
418	pam-fi	1.44	void SetFromLevel2Struct(cTrkLevel2 *s2){ SetFromLevel2Struct(s2, NULL); }
419			void SetFromLevel2Struct(TrkLevel1 *l1) { SetFromLevel2Struct(&level2event_, l1); }
420			void SetFromLevel2Struct() { SetFromLevel2Struct(&level2event_); }
421	pam-fi	1.11	void GetLevel2Struct(cTrkLevel2 *) const;
422	pam-fi	1.3	void LoadField(TString);
423	pam-fi	1.44	float GetBX(float* v){return TrkParams::GetBX(v);} ///< Bx (kGauss)
424			float GetBY(float* v){return TrkParams::GetBY(v);} ///< By (kGauss)
425			float GetBZ(float* v){return TrkParams::GetBZ(v);} ///< Bz (kGauss)
426	pam-fi	1.6	Float_t GetZTrk(Int_t);
427	pam-fi	1.44	Float_t GetXTrkLeft(){return XMAGNLOW;}
428			Float_t GetXTrkRight(){return XMAGNHIGH;}
429			Float_t GetYTrkLeft(){return YMAGNLOW;}
430			Float_t GetYTrkRight(){return YMAGNHIGH;}
431	pam-fi	1.6
432	pam-fi	1.24	Bool_t IsMaskedVK(int,int);
433			Bool_t GetVKMask(int,int);
434			Bool_t GetVKFlag(int,int);
435
436	pam-fi	1.6	TrkSinglet *GetSingletX(int);
437			TrkSinglet *GetSingletY(int);
438
439			TrkTrack *GetStoredTrack(int i);
440	pam-fi	1.44	Int_t GetSeqNo(Int_t i) {return (((TrkTrack *)Track->At(i))->seqno);} ///< Returns track sequential number
441	pam-fi	1.24
442	pam-fi	1.11	TRefArray *GetTracks_NFitSorted();
443	pam-fi	1.44	TRefArray *GetTracks(){return this->GetTracks_NFitSorted();}
444	pam-fi	1.11
445			Int_t GetNTracks();
446			TrkTrack* GetTrack(int i);
447	mocchiut	1.1	TrkTrack* GetTrackImage(int i);
448	pam-fi	1.11
449	pam-ts	1.46	TrkLevel2* GetTrkLevel2(){return this;}
450	pam-fi	1.28	void StatusDump(int view);
451			Bool_t StatusCheck(int view, int flagmask);
452
453	pam-ts	1.47	ClassDef(TrkLevel2,4);
454	mocchiut	1.1
455			};
456
457			#endif