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   
// (mechanical) z-coordinate of the tracker planes
#define ZTRK6 -22.22
#define ZTRK5 -13.31
#define ZTRK4 -4.41
#define ZTRK3 4.49
#define ZTRK2 13.39
#define ZTRK1 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 DoTrack2(float* al);
    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
        
    float al[5];           ///<TRACK STATE VECTOR 
    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 GetNtot(){return GetNX()+GetNY();};
    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 GetLeverArmX();
    Int_t GetLeverArmY();
    Float_t GetChi2X();
    Float_t GetChi2Y();
    Float_t GetLnLX();
    Float_t GetLnLY();

    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();

    Bool_t EvaluateClusterPositions();

    void FillMiniStruct(cMini2track&);
    void SetFromMiniStruct(cMini2track*);
    
    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 ResetXGoo(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); };

    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,5);

};
/**
 * \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();
    
    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;}
    TClonesArray* GetTrackArray(){return Track;};///< returns pointer to the track array
    
    void   StatusDump(int view);
    Bool_t StatusCheck(int view, int flagmask);

    ClassDef(TrkLevel2,3);

};

#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			#define ZINI 23.5
19	pam-fi	1.5	// (mechanical) z-coordinate of the tracker planes
20	pam-fi	1.27	#define ZTRK6 -22.22
21			#define ZTRK5 -13.31
22			#define ZTRK4 -4.41
23			#define ZTRK3 4.49
24			#define ZTRK2 13.39
25			#define ZTRK1 22.29
26			// 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	1.15	~Trajectory(){Delete();};
71	mocchiut	1.1	void Dump();
72	pam-fi	1.15	void Delete();
73	mocchiut	1.1
74	pam-fi	1.13	int DoTrack2(float* al);
75	pam-fi	1.2	float GetLength(){float l=0; for(int i=0; i<npoint;i++)l=l+tl[i]; return l;};
76			float GetLength(int,int);
77
78	pam-fi	1.35	ClassDef(Trajectory,3);
79	mocchiut	1.1
80			};
81			/**
82			* \brief Class to describe fitted tracks.
83			*
84			* A track is defined by the measured coordinates associated to it, the
85			* track status vector, plus other quantities.
86			* A track may have an "image", due to the ambiguity in the y view.
87	pam-fi	1.24	*
88			* Cluster flags: xgood[6], ygood[6]
89			*
90			* xgood/ygood = +/- 0lsccccccc
91	pam-fi	1.35	* ccccccc ID (1-7483647) of the included cluster
92			* s sensor number (1,2 - increasing y)
93			* l ladder number (1,2,3 - increasing x)
94			* +/- does-not/does include bad strips
95			*
96	mocchiut	1.1	*/
97			// ==================================================================
98			class TrkTrack : public TObject {
99
100			private:
101
102	pam-fi	1.32	public:
103
104	pam-fi	1.3	int seqno; ///<stored track sequential number
105			int image; ///<sequential number of track-image
106	pam-fi	1.8
107	pam-fi	1.22	float al[5]; ///<TRACK STATE VECTOR
108	mocchiut	1.1	float coval[5][5]; ///<covariance matrix
109	pam-fi	1.31	int xgood[6]; ///<cluster id for x-view (0 = view not included in the fit)
110			int ygood[6]; ///<cluster id for y-view (0 = view not included in the fit)
111	mocchiut	1.1	float xm[6]; ///<measured x coordinates
112			float ym[6]; ///<measured y coordinates
113			float zm[6]; ///<measured z coordinates
114			float resx[6]; ///<spatial resolution on X view
115			float resy[6]; ///<spatial resolution on y view
116	pam-fi	1.24	float tailx[6]; ///<spatial resolution tail on X view
117			float taily[6]; ///<spatial resolution tail on y view
118	mocchiut	1.1	float chi2; ///<chi2
119	pam-fi	1.31	int nstep; ///<n.step
120	pam-fi	1.12	float xv[6]; ///<calculated x coordinates
121	mocchiut	1.1	float yv[6]; ///<calculated y coordinates
122			float zv[6]; ///<calculated z coordinates
123			float axv[6]; ///<calculated angles (deg) on x view
124			float ayv[6]; ///<calculated angles (deg) on y view
125	pam-fi	1.24	float dedx_x[6]; ///<dE/dx in MIP (<0 if saturated)
126			float dedx_y[6]; ///<dE/dx in MIP (<0 if saturated)
127	pam-fi	1.31	int multmaxx[6]; ///<cluster multiplicity and strip of maximum on x view
128			int multmaxy[6]; ///<cluster multiplicity and strip of maximum on y view
129			float seedx[6]; ///< seed of the cluster x
130			float seedy[6]; ///< seed of the cluster y
131			float xpu[6]; ///< x coordinate in pitch units
132			float ypu[6]; ///< y coordinate in pitch units
133	pam-fi	1.3
134	pam-fi	1.35	float xGF[14]; ///<calculated x coordinates on GF reference planes
135			float yGF[14]; ///<calculated y coordinates on GF reference planes
136
137	mocchiut	1.1	TrkTrack();
138			TrkTrack(const TrkTrack&);
139
140	pam-fi	1.15	~TrkTrack(){ Delete(); };
141	pam-fi	1.10
142	mocchiut	1.1	void Dump();
143	pam-fi	1.12	void Clear();
144	pam-fi	1.15	void Clear(Option_t *option){Clear();};
145	pam-fi	1.12	void Delete();
146	pam-fi	1.15	void Copy(TrkTrack&);
147	pam-fi	1.16	// void Set();
148
149	pam-fi	1.3	Int_t GetSeqNo(){return seqno;} ///< Returns the track sequential number
150			Int_t GetImageSeqNo(){return image;} ///< Returns the track image sequential number
151	mocchiut	1.1	Bool_t HasImage(){return !(image==-1);} ///< Returns true if the track has an image
152	pam-fi	1.35	int DoTrack(Trajectory* t); ///< Evaluates the trajectory in the apparatus.
153			int DoTrack2(Trajectory* t); ///< Evaluates the trajectory in the apparatus.
154			float BdL(){return 0;}; ///< Evaluates the integral of B*dL along the track.
155	pam-fi	1.24	Int_t GetNX(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=(Int_t)XGood(i); return n;};
156			Int_t GetNY(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=(Int_t)YGood(i); return n;};
157	pam-fi	1.3	Int_t GetNtot(){return GetNX()+GetNY();};
158	mocchiut	1.1	Float_t GetRigidity();
159			Float_t GetDeflection();
160	pam-fi	1.24	Bool_t IsSaturated(int,int);
161			Bool_t IsSaturated(int);
162			Bool_t IsSaturated();
163			Bool_t IsBad(int,int);
164	mocchiut	1.1	Float_t GetDEDX();
165	pam-fi	1.28	Float_t GetDEDX(int ip);
166			Float_t GetDEDX(int ip,int iv);
167	pam-fi	1.24	Int_t GetLeverArmX();
168			Int_t GetLeverArmY();
169	pam-fi	1.29	Float_t GetChi2X();
170			Float_t GetChi2Y();
171			Float_t GetLnLX();
172			Float_t GetLnLY();
173	pam-fi	1.12
174	pam-fi	1.30	Float_t GetEffectiveAngle(int ip, int iv);
175
176	pam-fi	1.12	void SetMeasure(double xmeas, double ymeas, double *zmeas);
177			void SetResolution(double rx, double ry);
178	pam-fi	1.26	void SetTail(double tx, double ty, double factor);
179			void SetStudentParam(int flag);
180	pam-fi	1.12	void SetGood(int xg, int yg);
181			void LoadField(TString s);
182	pam-fi	1.25	void Fit(double pfixed, int& fail, int iprint, int froml1);
183			void Fit(double pfixed, int& fail, int iprint){ Fit(pfixed,fail,iprint,0); };
184	pam-fi	1.12	void FitReset();
185	pam-fi	1.19	void SetTrackingMode(int trackmode);
186	pam-fi	1.21	void SetPrecisionFactor(double fact);
187			void SetStepMin(int istepmin);
188	pam-fi	1.33	void SetDeltaB(int id, double db);
189
190	pam-fi	1.35	Bool_t IsInsideCavity(float);
191			Bool_t IsInsideCavity(){ return IsInsideCavity(0.); };
192			Bool_t IsInsideAcceptance();
193	pam-fi	1.14
194	pam-fi	1.28	Bool_t EvaluateClusterPositions();
195	pam-fi	1.25
196	pam-fi	1.14	void FillMiniStruct(cMini2track&);
197			void SetFromMiniStruct(cMini2track*);
198	pam-fi	1.12
199	pam-fi	1.24	Int_t GetClusterX_ID(int ip);
200			Int_t GetClusterY_ID(int ip);
201			Int_t GetLadder(int ip);
202			Int_t GetSensor(int ip);
203			Bool_t XGood(int ip){ return GetClusterX_ID(ip)!=-1; };
204			Bool_t YGood(int ip){ return GetClusterY_ID(ip)!=-1; };
205	pam-fi	1.36	void ResetXGoo(int ip){ xgood[ip]=0; };
206	pam-fi	1.25	void ResetYGood(int ip){ ygood[ip]=0; };
207	pam-fi	1.36	/* void SetXGood(int ip, int clid, int is); */
208			/* void SetYGood(int ip, int clid, int is); */
209			void SetXGood(int ip, int clid, int il, int is, bool bad);
210			void SetYGood(int ip, int clid, int il, int is, bool bad);
211			void SetXGood(int ip, int clid, int il, int is){ SetXGood(ip,clid,il,is,false); };
212			void SetYGood(int ip, int clid, int il, int is){ SetYGood(ip,clid,il,is,false); };
213
214	pam-fi	1.24
215			Bool_t BadClusterX(int ip){ return IsBad(ip,0); };
216			Bool_t BadClusterY(int ip){ return IsBad(ip,1); };
217
218			Bool_t SaturatedClusterX(int ip){ return IsSaturated(ip,0); };
219			Bool_t SaturatedClusterY(int ip){ return IsSaturated(ip,1); };
220	pam-fi	1.20
221	pam-fi	1.31	Int_t GetClusterX_Multiplicity(int ip){ return (Int_t)(multmaxx[ip]/10000); };
222			Int_t GetClusterY_Multiplicity(int ip){ return (Int_t)(multmaxy[ip]/10000); };
223			Int_t GetClusterX_MaxStrip(int ip){ return (Int_t)(multmaxx[ip]%10000); };
224			Int_t GetClusterY_MaxStrip(int ip){ return (Int_t)(multmaxy[ip]%10000); };
225			Float_t GetClusterX_Seed(int ip){ return seedx[ip]; };
226			Float_t GetClusterY_Seed(int ip){ return seedy[ip]; };
227	pam-fi	1.36	/* Float_t GetClusterX_oordinatePU(int ip); */
228	pam-fi	1.31	/* Float_t GetClusterY_CoordinatePU(int ip); */
229
230	pam-fi	1.34	Float_t GetYav();
231			Float_t GetXav();
232			Float_t GetZav();
233
234			Int_t GetNColumns();
235
236			Float_t GetDEDX_max(int ip, int iv);
237			Float_t GetDEDX_max(int iv){ return GetDEDX_max(-1,iv); };
238			Float_t GetDEDX_max(){ return GetDEDX_max(-1,-1); };
239			Float_t GetDEDX_min(int ip, int iv);
240			Float_t GetDEDX_min(int iv){ return GetDEDX_min(-1,iv); };
241			Float_t GetDEDX_min(){ return GetDEDX_min(-1,-1); };
242
243			Float_t GetResidual_max(int ip, int iv);
244			Float_t GetResidual_max(int iv){ return GetResidual_max(-1,iv); };
245			Float_t GetResidual_max(){ return GetResidual_max(-1,-1); };
246
247			Int_t GetClusterX_Multiplicity_max();
248			Int_t GetClusterX_Multiplicity_min();
249			Int_t GetClusterY_Multiplicity_max();
250			Int_t GetClusterY_Multiplicity_min();
251
252			Float_t GetClusterX_Seed_min();
253			Float_t GetClusterY_Seed_min();
254	pam-fi	1.31
255	mocchiut	1.1	TrkTrack* GetTrkTrack(){return this;};
256
257	pam-fi	1.3	friend class TrkLevel2;
258
259	pam-fi	1.35	ClassDef(TrkTrack,5);
260	mocchiut	1.1
261			};
262			/**
263			* \brief Class to describe single clusters ("singlets").
264			*
265			* Single clusters are clusters not associated to any track.
266			*/
267			class TrkSinglet : public TObject {
268
269			private:
270	pam-fi	1.8
271	mocchiut	1.1
272			public:
273	pam-fi	1.8
274	mocchiut	1.1	int plane; ///<plane
275			float coord[2]; ///<coordinate (on sensor 1 and 2)
276	pam-fi	1.24	float sgnl; ///<cluster signal in MIP (<0 if saturated)
277	pam-fi	1.35	int multmax; ///<cluster multiplicity and strip of maximum
278	mocchiut	1.1
279			TrkSinglet();
280			TrkSinglet(const TrkSinglet&);
281	pam-fi	1.15	~TrkSinglet(){Delete();};
282	mocchiut	1.1
283			void Dump();
284	pam-fi	1.15	void Clear();
285			void Clear(Option_t *option){Clear();};
286			void Delete(){Clear();};
287	pam-fi	1.24	Float_t GetSignal(){return fabs(sgnl);}
288			Bool_t IsSaturated(){return (sgnl<0); };
289	pam-fi	1.35
290			Bool_t IsBad() { return multmax<=0; };
291			Int_t GetCluster_Multiplicity(){ return (Int_t)(abs(multmax)/10000); };
292			Int_t GetCluster_MaxStrip() { return (Int_t)(abs(multmax)%10000); };
293
294
295	pam-fi	1.3	friend class TrkLevel2;
296
297	pam-fi	1.35	ClassDef(TrkSinglet,4);
298	mocchiut	1.1
299			};
300
301			/**
302			* \brief Class to describe tracker LEVEL2 data.
303			*
304			* A tracker events is defined by some general variables, plus the collection of all the fitted tracks and all
305			* single clusters on X and Y views.
306			* Tracks and single clusters ("singlets") are described by the classes TrkTrack and TrkSinglet respectivelly.
307			*
308			* Each track may have an "image", due to the ambiguity on the Y view, which is stored also.
309			* Thus, the number of stored tracks ( ntrk() ) differs from the number of "physical" tracks ( GetNTracks() ).
310			* Proper methods allow to sort tracks and select the physical ones ( GetTracks() ).
311	pam-fi	1.28	*
312			* The event status indicates the processing status of data from each DSP, according to the following
313			* notation:
314			*
315	pam-fi	1.35	* LSB --> 0 missing packet
316			* 1 CRC error
317			* 2 on-line software alarm (latch-up, timeout ecc...)
318			* 3 jump in the trigger counter
319			* 4 decode error
320			* 5 n.clusters > maximum number (level1 processing)
321			* 6
322			* 7
323			* 8 n.clusters > maximum value (level2 processing)
324			* 9 n.couples per plane > maximum values (vector dimention)
325			* 10 n.doublets > maximum values
326			* 11 n.triplets > maximum values
327			* 12 n.yz-clouds > maximum values
328			* 13 n.xz-clouds > maximum values
329			* 14 n.candidate-tracks > maximum values
330			* 15 n.couples per plane > maximum values (for Hough transform)
331			* MSB --> 16
332	pam-fi	1.28	*
333			*
334			* For all data processed before June 2007 the event status was coded according to
335			* a different rule:
336			*
337			* Status of level1 processing
338			* 0 -- OK
339			* 1 -- missing packet
340			* 2 -- 1 CRC error
341			* 3 -- 2 on-line software alarm (latch-up flags asserted or n.transmitted-words = 0)
342			* 4 -- 3 jump in the trigger counter
343			* 10 -- 4 decode error
344			* 11 -- 5 n.clusters > maximum number (for level1 processing)
345			* Status of level2 processing
346			* 21 -- 0 n.clusters > maximum value (for level2 processing)
347			* 22 -- 1 n.couples per plane > maximum values (vector dimention)
348			* 23 -- 2 n.doublets > maximum values
349			* 24 -- 3 n.triplets > maximum values
350			* 25 -- 4 n.yz-clouds > maximum values
351			* 26 -- 5 n.xz-clouds > maximum values
352			* 27 -- 6 n.candidate-tracks > maximum values
353			* 28 -- 7 n.couples per plane > maximum values (for Hough transform)
354			*
355			*
356	mocchiut	1.1	*/
357			class TrkLevel2 : public TObject {
358
359			private:
360	pam-fi	1.15
361	mocchiut	1.1	public:
362
363	pam-fi	1.15	Int_t good[12]; ///< event status
364	pam-fi	1.24	UInt_t VKmask[12]; ///< Viking-chip mask
365			UInt_t VKflag[12]; ///< Viking-chip flag
366	mocchiut	1.1
367			TClonesArray *Track; ///< fitted tracks
368			TClonesArray *SingletX; ///< x singlets
369			TClonesArray *SingletY; ///< y singlets
370
371			TrkLevel2();
372			// TrkLevel2(cTrkLevel2 *);
373	pam-fi	1.11	~TrkLevel2(){Delete();};
374	pam-fi	1.10
375	pam-fi	1.11	void Clear();
376	pam-fi	1.15	void Clear(Option_t *option){Clear();};
377	pam-fi	1.11	void Delete();
378	pam-fi	1.16	void Set();
379	pam-fi	1.11
380			int ntrk() {return Track->GetEntries();} ///< number of stored track
381	mocchiut	1.1	int nclsx(){return SingletX->GetEntries();} ///< number of x singlets
382			int nclsy(){return SingletY->GetEntries();} ///< number of y singlets
383
384			void Dump();
385	pam-fi	1.11	void SetFromLevel2Struct(cTrkLevel2 , TrkLevel1 );
386	pam-fi	1.18	void SetFromLevel2Struct(cTrkLevel2 *s2){ SetFromLevel2Struct(s2, NULL); };
387			void SetFromLevel2Struct(TrkLevel1 *l1) { SetFromLevel2Struct(&level2event_, l1); };
388			void SetFromLevel2Struct() { SetFromLevel2Struct(&level2event_); };
389	pam-fi	1.11	void GetLevel2Struct(cTrkLevel2 *) const;
390	pam-fi	1.3	void LoadField(TString);
391	pam-fi	1.25	float GetBX(float* v){return TrkParams::GetBX(v);};///< Bx (kGauss)
392			float GetBY(float* v){return TrkParams::GetBY(v);};///< By (kGauss)
393			float GetBZ(float* v){return TrkParams::GetBZ(v);};///< Bz (kGauss)
394	pam-fi	1.6	Float_t GetZTrk(Int_t);
395	pam-fi	1.34	Float_t GetXTrkLeft(){return XMAGNLOW;};
396			Float_t GetXTrkRight(){return XMAGNHIGH;};
397			Float_t GetYTrkLeft(){return YMAGNLOW;};
398			Float_t GetYTrkRight(){return YMAGNHIGH;};
399	pam-fi	1.6
400	pam-fi	1.24	Bool_t IsMaskedVK(int,int);
401			Bool_t GetVKMask(int,int);
402			Bool_t GetVKFlag(int,int);
403
404	pam-fi	1.6	TrkSinglet *GetSingletX(int);
405			TrkSinglet *GetSingletY(int);
406
407			TrkTrack *GetStoredTrack(int i);
408	pam-fi	1.3	Int_t GetSeqNo(Int_t i) {return (((TrkTrack *)Track->At(i))->seqno);}; ///< Returns track sequential number
409	pam-fi	1.24
410	pam-fi	1.11	TRefArray *GetTracks_NFitSorted();
411			TRefArray *GetTracks(){return this->GetTracks_NFitSorted();};
412
413			Int_t GetNTracks();
414			TrkTrack* GetTrack(int i);
415	mocchiut	1.1	TrkTrack* GetTrackImage(int i);
416	pam-fi	1.11
417	pam-fi	1.3	TrkLevel2* GetTrkLevel2(){return this;}
418			TClonesArray* GetTrackArray(){return Track;};///< returns pointer to the track array
419
420	pam-fi	1.28	void StatusDump(int view);
421			Bool_t StatusCheck(int view, int flagmask);
422
423	pam-fi	1.24	ClassDef(TrkLevel2,3);
424	mocchiut	1.1
425			};
426
427			#endif