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 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();};
    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 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 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,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 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;}
    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	/**
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	#include <TRefArray.h>
12	#include <TRef.h>
13
14	#include <TrkParams.h>
15	#include <TrkLevel1.h>
16
17	// z-coordinate of track state-vector reference-plane
18	#define ZINI 23.5
19	// (mechanical) z-coordinate of the tracker planes
20	#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	// 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	// (mechanical) x/y-coordinates of magnet cavity
42	/* #define XTRKL -8.1 */
43	/* #define XTRKR 8.1 */
44	/* #define YTRKL -6.6 */
45	/* #define YTRKR 6.6 */
46
47	/**
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	float* x; //[npoint]
61	float* y; //[npoint]
62	float* z; //[npoint]
63	float* thx; //[npoint]
64	float* thy; //[npoint]
65	float* tl; //[npoint]
66
67	Trajectory();
68	Trajectory(int n);
69	Trajectory(int n, float* pz);
70	~Trajectory(){Delete();};
71	void Dump();
72	void Delete();
73
74	int DoTrack2(float* al);
75	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	ClassDef(Trajectory,3);
79
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	*
88	* Cluster flags: xgood[6], ygood[6]
89	*
90	* xgood/ygood = +/- 0lsccccccc
91	* 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	*/
97	// ==================================================================
98	class TrkTrack : public TObject {
99
100	private:
101
102	public:
103
104	int seqno; ///<stored track sequential number
105	int image; ///<sequential number of track-image
106
107	float al[5]; ///<TRACK STATE VECTOR
108	float coval[5][5]; ///<covariance matrix
109	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	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	float tailx[6]; ///<spatial resolution tail on X view
117	float taily[6]; ///<spatial resolution tail on y view
118	float chi2; ///<chi2
119	int nstep; ///<n.step
120	float xv[6]; ///<calculated x coordinates
121	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	float dedx_x[6]; ///<dE/dx in MIP (<0 if saturated)
126	float dedx_y[6]; ///<dE/dx in MIP (<0 if saturated)
127	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
134	float xGF[14]; ///<calculated x coordinates on GF reference planes
135	float yGF[14]; ///<calculated y coordinates on GF reference planes
136
137	TrkTrack();
138	TrkTrack(const TrkTrack&);
139
140	~TrkTrack(){ Delete(); };
141
142	void Dump();
143	void Clear();
144	void Clear(Option_t *option){Clear();};
145	void Delete();
146	void Copy(TrkTrack&);
147	// void Set();
148
149	Int_t GetSeqNo(){return seqno;} ///< Returns the track sequential number
150	Int_t GetImageSeqNo(){return image;} ///< Returns the track image sequential number
151	Bool_t HasImage(){return !(image==-1);} ///< Returns true if the track has an image
152	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	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	Int_t GetNXY(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=(Int_t)YGood(i)*XGood(i); return n;};
158	Int_t GetNtot(){return GetNX()+GetNY();};
159	Float_t GetRigidity();
160	Float_t GetDeflection();
161	Bool_t IsSaturated(int,int);
162	Bool_t IsSaturated(int);
163	Bool_t IsSaturated();
164	Bool_t IsBad(int,int);
165	Float_t GetDEDX();
166	Float_t GetDEDX(int ip);
167	Float_t GetDEDX(int ip,int iv);
168	Int_t GetLeverArmXY();
169	Int_t GetLeverArmX();
170	Int_t GetLeverArmY();
171	Float_t GetChi2X();
172	Float_t GetChi2Y();
173	Float_t GetLnLX();
174	Float_t GetLnLY();
175
176	Float_t GetEffectiveAngle(int ip, int iv);
177
178	void SetMeasure(double xmeas, double ymeas, double *zmeas);
179	void SetResolution(double rx, double ry);
180	void SetTail(double tx, double ty, double factor);
181	void SetStudentParam(int flag);
182	void SetGood(int xg, int yg);
183	void LoadField(TString s);
184	void Fit(double pfixed, int& fail, int iprint, int froml1);
185	void Fit(double pfixed, int& fail, int iprint){ Fit(pfixed,fail,iprint,0); };
186	void FitReset();
187	void SetTrackingMode(int trackmode);
188	void SetPrecisionFactor(double fact);
189	void SetStepMin(int istepmin);
190	void SetDeltaB(int id, double db);
191
192	Bool_t IsInsideCavity(float);
193	Bool_t IsInsideCavity(){ return IsInsideCavity(0.); };
194	Bool_t IsInsideAcceptance();
195
196	Bool_t EvaluateClusterPositions();
197
198	void FillMiniStruct(cMini2track&);
199	void SetFromMiniStruct(cMini2track*);
200
201	Int_t GetClusterX_ID(int ip);
202	Int_t GetClusterY_ID(int ip);
203	Int_t GetLadder(int ip);
204	Int_t GetSensor(int ip);
205	Bool_t XGood(int ip){ return GetClusterX_ID(ip)!=-1; };
206	Bool_t YGood(int ip){ return GetClusterY_ID(ip)!=-1; };
207	void ResetXGood(int ip){ xgood[ip]=0; };
208	void ResetYGood(int ip){ ygood[ip]=0; };
209	/* void SetXGood(int ip, int clid, int is); */
210	/* void SetYGood(int ip, int clid, int is); */
211	void SetXGood(int ip, int clid, int il, int is, bool bad);
212	void SetYGood(int ip, int clid, int il, int is, bool bad);
213	void SetXGood(int ip, int clid, int il, int is){ SetXGood(ip,clid,il,is,false); };
214	void SetYGood(int ip, int clid, int il, int is){ SetYGood(ip,clid,il,is,false); };
215
216
217	Bool_t BadClusterX(int ip){ return IsBad(ip,0); };
218	Bool_t BadClusterY(int ip){ return IsBad(ip,1); };
219
220	Bool_t SaturatedClusterX(int ip){ return IsSaturated(ip,0); };
221	Bool_t SaturatedClusterY(int ip){ return IsSaturated(ip,1); };
222
223	Int_t GetClusterX_Multiplicity(int ip){ return (Int_t)(multmaxx[ip]/10000); };
224	Int_t GetClusterY_Multiplicity(int ip){ return (Int_t)(multmaxy[ip]/10000); };
225	Int_t GetClusterX_MaxStrip(int ip){ return (Int_t)(multmaxx[ip]%10000); };
226	Int_t GetClusterY_MaxStrip(int ip){ return (Int_t)(multmaxy[ip]%10000); };
227	Float_t GetClusterX_Seed(int ip){ return seedx[ip]; };
228	Float_t GetClusterY_Seed(int ip){ return seedy[ip]; };
229	/* Float_t GetClusterX_oordinatePU(int ip); */
230	/* Float_t GetClusterY_CoordinatePU(int ip); */
231
232	Float_t GetYav();
233	Float_t GetXav();
234	Float_t GetZav();
235
236	Int_t GetNColumns();
237
238	Float_t GetDEDX_max(int ip, int iv);
239	Float_t GetDEDX_max(int iv){ return GetDEDX_max(-1,iv); };
240	Float_t GetDEDX_max(){ return GetDEDX_max(-1,-1); };
241	Float_t GetDEDX_min(int ip, int iv);
242	Float_t GetDEDX_min(int iv){ return GetDEDX_min(-1,iv); };
243	Float_t GetDEDX_min(){ return GetDEDX_min(-1,-1); };
244
245	Float_t GetResidual_max(int ip, int iv);
246	Float_t GetResidual_max(int iv){ return GetResidual_max(-1,iv); };
247	Float_t GetResidual_max(){ return GetResidual_max(-1,-1); };
248	Float_t GetResidual_av(int ip, int iv);
249	Float_t GetResidual_av(int iv){ return GetResidual_av(-1,iv); };
250	Float_t GetResidual_av(){ return GetResidual_av(-1,-1); };
251
252	Int_t GetClusterX_Multiplicity_max();
253	Int_t GetClusterX_Multiplicity_min();
254	Int_t GetClusterY_Multiplicity_max();
255	Int_t GetClusterY_Multiplicity_min();
256
257	Float_t GetClusterX_Seed_min();
258	Float_t GetClusterY_Seed_min();
259
260	TrkTrack* GetTrkTrack(){return this;};
261
262	friend class TrkLevel2;
263
264	ClassDef(TrkTrack,5);
265
266	};
267	/**
268	* \brief Class to describe single clusters ("singlets").
269	*
270	* Single clusters are clusters not associated to any track.
271	*/
272	class TrkSinglet : public TObject {
273
274	private:
275
276
277	public:
278
279	int plane; ///<plane
280	float coord[2]; ///<coordinate (on sensor 1 and 2)
281	float sgnl; ///<cluster signal in MIP (<0 if saturated)
282	int multmax; ///<cluster multiplicity and strip of maximum
283
284	TrkSinglet();
285	TrkSinglet(const TrkSinglet&);
286	~TrkSinglet(){Delete();};
287
288	void Dump();
289	void Clear();
290	void Clear(Option_t *option){Clear();};
291	void Delete(){Clear();};
292	Float_t GetSignal(){return fabs(sgnl);}
293	Bool_t IsSaturated(){return (sgnl<0); };
294
295	Bool_t IsBad() { return multmax<=0; };
296	Int_t GetCluster_Multiplicity(){ return (Int_t)(abs(multmax)/10000); };
297	Int_t GetCluster_MaxStrip() { return (Int_t)(abs(multmax)%10000); };
298
299
300	friend class TrkLevel2;
301
302	ClassDef(TrkSinglet,4);
303
304	};
305
306	/**
307	* \brief Class to describe tracker LEVEL2 data.
308	*
309	* A tracker events is defined by some general variables, plus the collection of all the fitted tracks and all
310	* single clusters on X and Y views.
311	* Tracks and single clusters ("singlets") are described by the classes TrkTrack and TrkSinglet respectivelly.
312	*
313	* Each track may have an "image", due to the ambiguity on the Y view, which is stored also.
314	* Thus, the number of stored tracks ( ntrk() ) differs from the number of "physical" tracks ( GetNTracks() ).
315	* Proper methods allow to sort tracks and select the physical ones ( GetTracks() ).
316	*
317	* The event status indicates the processing status of data from each DSP, according to the following
318	* notation:
319	*
320	* LSB --> 0 missing packet
321	* 1 CRC error
322	* 2 on-line software alarm (latch-up, timeout ecc...)
323	* 3 jump in the trigger counter
324	* 4 decode error
325	* 5 n.clusters > maximum number (level1 processing)
326	* 6
327	* 7
328	* 8 n.clusters > maximum value (level2 processing)
329	* 9 n.couples per plane > maximum values (vector dimention)
330	* 10 n.doublets > maximum values
331	* 11 n.triplets > maximum values
332	* 12 n.yz-clouds > maximum values
333	* 13 n.xz-clouds > maximum values
334	* 14 n.candidate-tracks > maximum values
335	* 15 n.couples per plane > maximum values (for Hough transform)
336	* MSB --> 16
337	*
338	*
339	* For all data processed before June 2007 the event status was coded according to
340	* a different rule:
341	*
342	* Status of level1 processing
343	* 0 -- OK
344	* 1 -- missing packet
345	* 2 -- 1 CRC error
346	* 3 -- 2 on-line software alarm (latch-up flags asserted or n.transmitted-words = 0)
347	* 4 -- 3 jump in the trigger counter
348	* 10 -- 4 decode error
349	* 11 -- 5 n.clusters > maximum number (for level1 processing)
350	* Status of level2 processing
351	* 21 -- 0 n.clusters > maximum value (for level2 processing)
352	* 22 -- 1 n.couples per plane > maximum values (vector dimention)
353	* 23 -- 2 n.doublets > maximum values
354	* 24 -- 3 n.triplets > maximum values
355	* 25 -- 4 n.yz-clouds > maximum values
356	* 26 -- 5 n.xz-clouds > maximum values
357	* 27 -- 6 n.candidate-tracks > maximum values
358	* 28 -- 7 n.couples per plane > maximum values (for Hough transform)
359	*
360	*
361	*/
362	class TrkLevel2 : public TObject {
363
364	private:
365
366	public:
367
368	Int_t good[12]; ///< event status
369	UInt_t VKmask[12]; ///< Viking-chip mask
370	UInt_t VKflag[12]; ///< Viking-chip flag
371
372	TClonesArray *Track; ///< fitted tracks
373	TClonesArray *SingletX; ///< x singlets
374	TClonesArray *SingletY; ///< y singlets
375
376	TrkLevel2();
377	// TrkLevel2(cTrkLevel2 *);
378	~TrkLevel2(){Delete();};
379
380	void Clear();
381	void Clear(Option_t *option){Clear();};
382	void Delete();
383	void Set();
384	int UnpackError(){ for(int i=0; i<12; i++)if(!StatusCheck(i,0x12))return 1; return 0;};
385
386	int ntrk() {return Track->GetEntries();} ///< number of stored track
387	int nclsx(){return SingletX->GetEntries();} ///< number of x singlets
388	int nclsy(){return SingletY->GetEntries();} ///< number of y singlets
389
390	void Dump();
391	void SetFromLevel2Struct(cTrkLevel2 , TrkLevel1 );
392	void SetFromLevel2Struct(cTrkLevel2 *s2){ SetFromLevel2Struct(s2, NULL); };
393	void SetFromLevel2Struct(TrkLevel1 *l1) { SetFromLevel2Struct(&level2event_, l1); };
394	void SetFromLevel2Struct() { SetFromLevel2Struct(&level2event_); };
395	void GetLevel2Struct(cTrkLevel2 *) const;
396	void LoadField(TString);
397	float GetBX(float* v){return TrkParams::GetBX(v);};///< Bx (kGauss)
398	float GetBY(float* v){return TrkParams::GetBY(v);};///< By (kGauss)
399	float GetBZ(float* v){return TrkParams::GetBZ(v);};///< Bz (kGauss)
400	Float_t GetZTrk(Int_t);
401	Float_t GetXTrkLeft(){return XMAGNLOW;};
402	Float_t GetXTrkRight(){return XMAGNHIGH;};
403	Float_t GetYTrkLeft(){return YMAGNLOW;};
404	Float_t GetYTrkRight(){return YMAGNHIGH;};
405
406	Bool_t IsMaskedVK(int,int);
407	Bool_t GetVKMask(int,int);
408	Bool_t GetVKFlag(int,int);
409
410	TrkSinglet *GetSingletX(int);
411	TrkSinglet *GetSingletY(int);
412
413	TrkTrack *GetStoredTrack(int i);
414	Int_t GetSeqNo(Int_t i) {return (((TrkTrack *)Track->At(i))->seqno);}; ///< Returns track sequential number
415
416	TRefArray *GetTracks_NFitSorted();
417	TRefArray *GetTracks(){return this->GetTracks_NFitSorted();};
418
419	Int_t GetNTracks();
420	TrkTrack* GetTrack(int i);
421	TrkTrack* GetTrackImage(int i);
422
423	TrkLevel2* GetTrkLevel2(){return this;}
424	TClonesArray* GetTrackArray(){return Track;};///< returns pointer to the track array
425
426	void StatusDump(int view);
427	Bool_t StatusCheck(int view, int flagmask);
428
429	ClassDef(TrkLevel2,3);
430
431	};
432
433	#endif