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 -22.23
#define ZTRK5 -13.32
#define ZTRK4 -4.42
#define ZTRK3 4.48
#define ZTRK2 13.38
#define ZTRK1 22.28
// (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;   ///< x coordinates 
    float* y;   ///< y coordinates 
    float* z;   ///< z coordinates 
    float* thx; ///< x projected angle 
    float* thy; ///< y projected angle
    float* tl;  ///< track length

    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,2);

};
/**
 * \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
 *                |   |||------- ID (1-7483647) of the included cluster  
 *                |   ||-------- sensor number (1,2   - increasing y)
 *                |   |--------- ladder number (1,2,3 - increasing x)
 *                |------------- does-not/does include bad strips
 */
// ==================================================================
class TrkTrack : public TObject {

private:

    int   seqno;           ///<stored track sequential number
    int   image;           ///<sequential number of track-image
        
public:

    float al[5];           ///<TRACK STATE VECTOR 
    float coval[5][5];     ///<covariance matrix 
    int   xgood[6];        ///<cluster flag for x-view (0 = view not included in the fit) 
    int   ygood[6];        ///<cluster flag 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) 

    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);
    Float_t GetDEDX(int,int);
    Int_t GetLeverArmX();
    Int_t GetLeverArmY();

    void SetMeasure(double *xmeas, double *ymeas, double *zmeas);
    void SetResolution(double *rx, double *ry);
    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 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);

    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); };

    TrkTrack* GetTrkTrack(){return this;};

    friend class TrkLevel2;

    ClassDef(TrkTrack,3);

};
/**
 * \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)

    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); };
        
    friend class TrkLevel2;

    ClassDef(TrkSinglet,3);

};

/**
 * \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() ).
 */
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 XTRKL;};
    Float_t GetXTrkRight(){return XTRKR;};
    Float_t GetYTrkLeft(){return YTRKL;};
    Float_t GetYTrkRight(){return YTRKR;};
    
    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
    
    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			#define ZTRK6 -22.23
21			#define ZTRK5 -13.32
22			#define ZTRK4 -4.42
23			#define ZTRK3 4.48
24			#define ZTRK2 13.38
25			#define ZTRK1 22.28
26			// (mechanical) x/y-coordinates of magnet cavity
27			#define XTRKL -8.1
28			#define XTRKR 8.1
29			#define YTRKL -6.6
30			#define YTRKR 6.6
31	pam-fi	1.2
32	mocchiut	1.1	/**
33			* \brief Class to describe, by points, a particle trajectory in the apparatus.
34			*
35			* The idea is to create it by integrating the equations of motion, given the
36			* track state vector and the z coordinates where to evaluate track position.
37			*/
38			// ==================================================================
39			class Trajectory : public TObject{
40			private:
41
42			public:
43
44			int npoint; ///< number of evaluated points along the trajectory
45			float* x; ///< x coordinates
46			float* y; ///< y coordinates
47			float* z; ///< z coordinates
48	pam-fi	1.2	float* thx; ///< x projected angle
49			float* thy; ///< y projected angle
50			float* tl; ///< track length
51	mocchiut	1.1
52	pam-fi	1.2	Trajectory();
53	mocchiut	1.1	Trajectory(int n);
54			Trajectory(int n, float* pz);
55	pam-fi	1.15	~Trajectory(){Delete();};
56	mocchiut	1.1	void Dump();
57	pam-fi	1.15	void Delete();
58	mocchiut	1.1
59	pam-fi	1.13	int DoTrack2(float* al);
60	pam-fi	1.2	float GetLength(){float l=0; for(int i=0; i<npoint;i++)l=l+tl[i]; return l;};
61			float GetLength(int,int);
62
63	pam-fi	1.9	ClassDef(Trajectory,2);
64	mocchiut	1.1
65			};
66			/**
67			* \brief Class to describe fitted tracks.
68			*
69			* A track is defined by the measured coordinates associated to it, the
70			* track status vector, plus other quantities.
71			* A track may have an "image", due to the ambiguity in the y view.
72	pam-fi	1.24	*
73			* Cluster flags: xgood[6], ygood[6]
74			*
75			* xgood/ygood = +/- 0lsccccccc
76			* \| \|\|\|------- ID (1-7483647) of the included cluster
77			* \| \|\|-------- sensor number (1,2 - increasing y)
78			* \| \|--------- ladder number (1,2,3 - increasing x)
79			* \|------------- does-not/does include bad strips
80	mocchiut	1.1	*/
81			// ==================================================================
82			class TrkTrack : public TObject {
83
84			private:
85
86	pam-fi	1.3	int seqno; ///<stored track sequential number
87			int image; ///<sequential number of track-image
88	pam-fi	1.8
89	mocchiut	1.1	public:
90
91	pam-fi	1.22	float al[5]; ///<TRACK STATE VECTOR
92	mocchiut	1.1	float coval[5][5]; ///<covariance matrix
93	pam-fi	1.24	int xgood[6]; ///<cluster flag for x-view (0 = view not included in the fit)
94			int ygood[6]; ///<cluster flag for y-view (0 = view not included in the fit)
95	mocchiut	1.1	float xm[6]; ///<measured x coordinates
96			float ym[6]; ///<measured y coordinates
97			float zm[6]; ///<measured z coordinates
98			float resx[6]; ///<spatial resolution on X view
99			float resy[6]; ///<spatial resolution on y view
100	pam-fi	1.24	float tailx[6]; ///<spatial resolution tail on X view
101			float taily[6]; ///<spatial resolution tail on y view
102	mocchiut	1.1	float chi2; ///<chi2
103	pam-fi	1.12	int nstep; ///<n. step
104			float xv[6]; ///<calculated x coordinates
105	mocchiut	1.1	float yv[6]; ///<calculated y coordinates
106			float zv[6]; ///<calculated z coordinates
107			float axv[6]; ///<calculated angles (deg) on x view
108			float ayv[6]; ///<calculated angles (deg) on y view
109	pam-fi	1.24	float dedx_x[6]; ///<dE/dx in MIP (<0 if saturated)
110			float dedx_y[6]; ///<dE/dx in MIP (<0 if saturated)
111	pam-fi	1.3
112	mocchiut	1.1	TrkTrack();
113			TrkTrack(const TrkTrack&);
114
115	pam-fi	1.15	~TrkTrack(){ Delete(); };
116	pam-fi	1.10
117	mocchiut	1.1	void Dump();
118	pam-fi	1.12	void Clear();
119	pam-fi	1.15	void Clear(Option_t *option){Clear();};
120	pam-fi	1.12	void Delete();
121	pam-fi	1.15	void Copy(TrkTrack&);
122	pam-fi	1.16	// void Set();
123
124	pam-fi	1.3	Int_t GetSeqNo(){return seqno;} ///< Returns the track sequential number
125			Int_t GetImageSeqNo(){return image;} ///< Returns the track image sequential number
126	mocchiut	1.1	Bool_t HasImage(){return !(image==-1);} ///< Returns true if the track has an image
127	pam-fi	1.2	int DoTrack(Trajectory* t); ///< Evaluates the trajectory in the apparatus.
128			int DoTrack2(Trajectory* t); ///< Evaluates the trajectory in the apparatus.
129			float BdL(){return 0;}; ///< Evaluates the integral of B*dL along the track.
130	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;};
131			Int_t GetNY(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=(Int_t)YGood(i); return n;};
132	pam-fi	1.3	Int_t GetNtot(){return GetNX()+GetNY();};
133	mocchiut	1.1	Float_t GetRigidity();
134			Float_t GetDeflection();
135	pam-fi	1.24	Bool_t IsSaturated(int,int);
136			Bool_t IsSaturated(int);
137			Bool_t IsSaturated();
138			Bool_t IsBad(int,int);
139	mocchiut	1.1	Float_t GetDEDX();
140	pam-fi	1.24	Float_t GetDEDX(int);
141			Float_t GetDEDX(int,int);
142			Int_t GetLeverArmX();
143			Int_t GetLeverArmY();
144	pam-fi	1.12
145			void SetMeasure(double xmeas, double ymeas, double *zmeas);
146			void SetResolution(double rx, double ry);
147			void SetGood(int xg, int yg);
148			void LoadField(TString s);
149	pam-fi	1.25	void Fit(double pfixed, int& fail, int iprint, int froml1);
150			void Fit(double pfixed, int& fail, int iprint){ Fit(pfixed,fail,iprint,0); };
151	pam-fi	1.12	void FitReset();
152	pam-fi	1.19	void SetTrackingMode(int trackmode);
153	pam-fi	1.21	void SetPrecisionFactor(double fact);
154			void SetStepMin(int istepmin);
155	pam-fi	1.14
156	pam-fi	1.25	void EvaluateClusterPositions();
157
158	pam-fi	1.14	void FillMiniStruct(cMini2track&);
159			void SetFromMiniStruct(cMini2track*);
160	pam-fi	1.12
161	pam-fi	1.24	Int_t GetClusterX_ID(int ip);
162			Int_t GetClusterY_ID(int ip);
163			Int_t GetLadder(int ip);
164			Int_t GetSensor(int ip);
165			Bool_t XGood(int ip){ return GetClusterX_ID(ip)!=-1; };
166			Bool_t YGood(int ip){ return GetClusterY_ID(ip)!=-1; };
167	pam-fi	1.25	void ResetXGood(int ip){ xgood[ip]=0; };
168			void ResetYGood(int ip){ ygood[ip]=0; };
169			void SetXGood(int ip, int clid, int is);
170			void SetYGood(int ip, int clid, int is);
171	pam-fi	1.24
172			Bool_t BadClusterX(int ip){ return IsBad(ip,0); };
173			Bool_t BadClusterY(int ip){ return IsBad(ip,1); };
174
175			Bool_t SaturatedClusterX(int ip){ return IsSaturated(ip,0); };
176			Bool_t SaturatedClusterY(int ip){ return IsSaturated(ip,1); };
177	pam-fi	1.20
178	mocchiut	1.1	TrkTrack* GetTrkTrack(){return this;};
179
180	pam-fi	1.3	friend class TrkLevel2;
181
182	pam-fi	1.24	ClassDef(TrkTrack,3);
183	mocchiut	1.1
184			};
185			/**
186			* \brief Class to describe single clusters ("singlets").
187			*
188			* Single clusters are clusters not associated to any track.
189			*/
190			class TrkSinglet : public TObject {
191
192			private:
193	pam-fi	1.8
194	mocchiut	1.1
195			public:
196	pam-fi	1.8
197	mocchiut	1.1	int plane; ///<plane
198			float coord[2]; ///<coordinate (on sensor 1 and 2)
199	pam-fi	1.24	float sgnl; ///<cluster signal in MIP (<0 if saturated)
200	mocchiut	1.1
201			TrkSinglet();
202			TrkSinglet(const TrkSinglet&);
203	pam-fi	1.15	~TrkSinglet(){Delete();};
204	mocchiut	1.1
205			void Dump();
206	pam-fi	1.15	void Clear();
207			void Clear(Option_t *option){Clear();};
208			void Delete(){Clear();};
209	pam-fi	1.24	Float_t GetSignal(){return fabs(sgnl);}
210			Bool_t IsSaturated(){return (sgnl<0); };
211	pam-fi	1.8
212	pam-fi	1.3	friend class TrkLevel2;
213
214	pam-fi	1.24	ClassDef(TrkSinglet,3);
215	mocchiut	1.1
216			};
217
218			/**
219			* \brief Class to describe tracker LEVEL2 data.
220			*
221			* A tracker events is defined by some general variables, plus the collection of all the fitted tracks and all
222			* single clusters on X and Y views.
223			* Tracks and single clusters ("singlets") are described by the classes TrkTrack and TrkSinglet respectivelly.
224			*
225			* Each track may have an "image", due to the ambiguity on the Y view, which is stored also.
226			* Thus, the number of stored tracks ( ntrk() ) differs from the number of "physical" tracks ( GetNTracks() ).
227			* Proper methods allow to sort tracks and select the physical ones ( GetTracks() ).
228			*/
229			class TrkLevel2 : public TObject {
230
231			private:
232	pam-fi	1.15
233	mocchiut	1.1	public:
234
235	pam-fi	1.15	Int_t good[12]; ///< event status
236	pam-fi	1.24	UInt_t VKmask[12]; ///< Viking-chip mask
237			UInt_t VKflag[12]; ///< Viking-chip flag
238	mocchiut	1.1
239			TClonesArray *Track; ///< fitted tracks
240			TClonesArray *SingletX; ///< x singlets
241			TClonesArray *SingletY; ///< y singlets
242
243			TrkLevel2();
244			// TrkLevel2(cTrkLevel2 *);
245	pam-fi	1.11	~TrkLevel2(){Delete();};
246	pam-fi	1.10
247	pam-fi	1.11	void Clear();
248	pam-fi	1.15	void Clear(Option_t *option){Clear();};
249	pam-fi	1.11	void Delete();
250	pam-fi	1.16	void Set();
251	pam-fi	1.11
252			int ntrk() {return Track->GetEntries();} ///< number of stored track
253	mocchiut	1.1	int nclsx(){return SingletX->GetEntries();} ///< number of x singlets
254			int nclsy(){return SingletY->GetEntries();} ///< number of y singlets
255
256			void Dump();
257	pam-fi	1.11	void SetFromLevel2Struct(cTrkLevel2 , TrkLevel1 );
258	pam-fi	1.18	void SetFromLevel2Struct(cTrkLevel2 *s2){ SetFromLevel2Struct(s2, NULL); };
259			void SetFromLevel2Struct(TrkLevel1 *l1) { SetFromLevel2Struct(&level2event_, l1); };
260			void SetFromLevel2Struct() { SetFromLevel2Struct(&level2event_); };
261	pam-fi	1.11	void GetLevel2Struct(cTrkLevel2 *) const;
262	pam-fi	1.3	void LoadField(TString);
263	pam-fi	1.25	float GetBX(float* v){return TrkParams::GetBX(v);};///< Bx (kGauss)
264			float GetBY(float* v){return TrkParams::GetBY(v);};///< By (kGauss)
265			float GetBZ(float* v){return TrkParams::GetBZ(v);};///< Bz (kGauss)
266	pam-fi	1.6	Float_t GetZTrk(Int_t);
267			Float_t GetXTrkLeft(){return XTRKL;};
268			Float_t GetXTrkRight(){return XTRKR;};
269			Float_t GetYTrkLeft(){return YTRKL;};
270			Float_t GetYTrkRight(){return YTRKR;};
271
272	pam-fi	1.24	Bool_t IsMaskedVK(int,int);
273			Bool_t GetVKMask(int,int);
274			Bool_t GetVKFlag(int,int);
275
276	pam-fi	1.6	TrkSinglet *GetSingletX(int);
277			TrkSinglet *GetSingletY(int);
278
279			TrkTrack *GetStoredTrack(int i);
280	pam-fi	1.3	Int_t GetSeqNo(Int_t i) {return (((TrkTrack *)Track->At(i))->seqno);}; ///< Returns track sequential number
281	pam-fi	1.24
282	pam-fi	1.11	TRefArray *GetTracks_NFitSorted();
283			TRefArray *GetTracks(){return this->GetTracks_NFitSorted();};
284
285			Int_t GetNTracks();
286			TrkTrack* GetTrack(int i);
287	mocchiut	1.1	TrkTrack* GetTrackImage(int i);
288	pam-fi	1.11
289	pam-fi	1.3	TrkLevel2* GetTrkLevel2(){return this;}
290			TClonesArray* GetTrackArray(){return Track;};///< returns pointer to the track array
291
292	pam-fi	1.24	ClassDef(TrkLevel2,3);
293	mocchiut	1.1
294			};
295
296			#endif