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 
// (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 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);
    Bool_t IsInsideCavity();

    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);

    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() ).
 *
 * The event status indicates the processing status of data from each DSP, according to the following
 * notation:
 *
 *     xxxx xxxx xxxx xxxx xxxx xxxx 
 *     |||| |||| |||| |||| |||| ||||_ 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)
 *     |||| ||||_____________________ 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 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
    
    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	1.5	// (mechanical) x/y-coordinates of magnet cavity
34			#define XTRKL -8.1
35			#define XTRKR 8.1
36			#define YTRKL -6.6
37			#define YTRKR 6.6
38	pam-fi	1.2
39	mocchiut	1.1	/**
40			* \brief Class to describe, by points, a particle trajectory in the apparatus.
41			*
42			* The idea is to create it by integrating the equations of motion, given the
43			* track state vector and the z coordinates where to evaluate track position.
44			*/
45			// ==================================================================
46			class Trajectory : public TObject{
47			private:
48
49			public:
50
51			int npoint; ///< number of evaluated points along the trajectory
52			float* x; ///< x coordinates
53			float* y; ///< y coordinates
54			float* z; ///< z coordinates
55	pam-fi	1.2	float* thx; ///< x projected angle
56			float* thy; ///< y projected angle
57			float* tl; ///< track length
58	mocchiut	1.1
59	pam-fi	1.2	Trajectory();
60	mocchiut	1.1	Trajectory(int n);
61			Trajectory(int n, float* pz);
62	pam-fi	1.15	~Trajectory(){Delete();};
63	mocchiut	1.1	void Dump();
64	pam-fi	1.15	void Delete();
65	mocchiut	1.1
66	pam-fi	1.13	int DoTrack2(float* al);
67	pam-fi	1.2	float GetLength(){float l=0; for(int i=0; i<npoint;i++)l=l+tl[i]; return l;};
68			float GetLength(int,int);
69
70	pam-fi	1.9	ClassDef(Trajectory,2);
71	mocchiut	1.1
72			};
73			/**
74			* \brief Class to describe fitted tracks.
75			*
76			* A track is defined by the measured coordinates associated to it, the
77			* track status vector, plus other quantities.
78			* A track may have an "image", due to the ambiguity in the y view.
79	pam-fi	1.24	*
80			* Cluster flags: xgood[6], ygood[6]
81			*
82			* xgood/ygood = +/- 0lsccccccc
83			* \| \|\|\|------- ID (1-7483647) of the included cluster
84			* \| \|\|-------- sensor number (1,2 - increasing y)
85			* \| \|--------- ladder number (1,2,3 - increasing x)
86			* \|------------- does-not/does include bad strips
87	mocchiut	1.1	*/
88			// ==================================================================
89			class TrkTrack : public TObject {
90
91			private:
92
93	pam-fi	1.3	int seqno; ///<stored track sequential number
94			int image; ///<sequential number of track-image
95	pam-fi	1.8
96	mocchiut	1.1	public:
97
98	pam-fi	1.22	float al[5]; ///<TRACK STATE VECTOR
99	mocchiut	1.1	float coval[5][5]; ///<covariance matrix
100	pam-fi	1.24	int xgood[6]; ///<cluster flag for x-view (0 = view not included in the fit)
101			int ygood[6]; ///<cluster flag for y-view (0 = view not included in the fit)
102	mocchiut	1.1	float xm[6]; ///<measured x coordinates
103			float ym[6]; ///<measured y coordinates
104			float zm[6]; ///<measured z coordinates
105			float resx[6]; ///<spatial resolution on X view
106			float resy[6]; ///<spatial resolution on y view
107	pam-fi	1.24	float tailx[6]; ///<spatial resolution tail on X view
108			float taily[6]; ///<spatial resolution tail on y view
109	mocchiut	1.1	float chi2; ///<chi2
110	pam-fi	1.12	int nstep; ///<n. step
111			float xv[6]; ///<calculated x coordinates
112	mocchiut	1.1	float yv[6]; ///<calculated y coordinates
113			float zv[6]; ///<calculated z coordinates
114			float axv[6]; ///<calculated angles (deg) on x view
115			float ayv[6]; ///<calculated angles (deg) on y view
116	pam-fi	1.24	float dedx_x[6]; ///<dE/dx in MIP (<0 if saturated)
117			float dedx_y[6]; ///<dE/dx in MIP (<0 if saturated)
118	pam-fi	1.3
119	mocchiut	1.1	TrkTrack();
120			TrkTrack(const TrkTrack&);
121
122	pam-fi	1.15	~TrkTrack(){ Delete(); };
123	pam-fi	1.10
124	mocchiut	1.1	void Dump();
125	pam-fi	1.12	void Clear();
126	pam-fi	1.15	void Clear(Option_t *option){Clear();};
127	pam-fi	1.12	void Delete();
128	pam-fi	1.15	void Copy(TrkTrack&);
129	pam-fi	1.16	// void Set();
130
131	pam-fi	1.3	Int_t GetSeqNo(){return seqno;} ///< Returns the track sequential number
132			Int_t GetImageSeqNo(){return image;} ///< Returns the track image sequential number
133	mocchiut	1.1	Bool_t HasImage(){return !(image==-1);} ///< Returns true if the track has an image
134	pam-fi	1.2	int DoTrack(Trajectory* t); ///< Evaluates the trajectory in the apparatus.
135			int DoTrack2(Trajectory* t); ///< Evaluates the trajectory in the apparatus.
136			float BdL(){return 0;}; ///< Evaluates the integral of B*dL along the track.
137	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;};
138			Int_t GetNY(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=(Int_t)YGood(i); return n;};
139	pam-fi	1.3	Int_t GetNtot(){return GetNX()+GetNY();};
140	mocchiut	1.1	Float_t GetRigidity();
141			Float_t GetDeflection();
142	pam-fi	1.24	Bool_t IsSaturated(int,int);
143			Bool_t IsSaturated(int);
144			Bool_t IsSaturated();
145			Bool_t IsBad(int,int);
146	mocchiut	1.1	Float_t GetDEDX();
147	pam-fi	1.28	Float_t GetDEDX(int ip);
148			Float_t GetDEDX(int ip,int iv);
149	pam-fi	1.24	Int_t GetLeverArmX();
150			Int_t GetLeverArmY();
151	pam-fi	1.29	Float_t GetChi2X();
152			Float_t GetChi2Y();
153			Float_t GetLnLX();
154			Float_t GetLnLY();
155	pam-fi	1.12
156	pam-fi	1.30	Float_t GetEffectiveAngle(int ip, int iv);
157
158	pam-fi	1.12	void SetMeasure(double xmeas, double ymeas, double *zmeas);
159			void SetResolution(double rx, double ry);
160	pam-fi	1.26	void SetTail(double tx, double ty, double factor);
161			void SetStudentParam(int flag);
162	pam-fi	1.12	void SetGood(int xg, int yg);
163			void LoadField(TString s);
164	pam-fi	1.25	void Fit(double pfixed, int& fail, int iprint, int froml1);
165			void Fit(double pfixed, int& fail, int iprint){ Fit(pfixed,fail,iprint,0); };
166	pam-fi	1.12	void FitReset();
167	pam-fi	1.19	void SetTrackingMode(int trackmode);
168	pam-fi	1.21	void SetPrecisionFactor(double fact);
169			void SetStepMin(int istepmin);
170	pam-fi	1.27	Bool_t IsInsideCavity();
171	pam-fi	1.14
172	pam-fi	1.28	Bool_t EvaluateClusterPositions();
173	pam-fi	1.25
174	pam-fi	1.14	void FillMiniStruct(cMini2track&);
175			void SetFromMiniStruct(cMini2track*);
176	pam-fi	1.12
177	pam-fi	1.24	Int_t GetClusterX_ID(int ip);
178			Int_t GetClusterY_ID(int ip);
179			Int_t GetLadder(int ip);
180			Int_t GetSensor(int ip);
181			Bool_t XGood(int ip){ return GetClusterX_ID(ip)!=-1; };
182			Bool_t YGood(int ip){ return GetClusterY_ID(ip)!=-1; };
183	pam-fi	1.25	void ResetXGood(int ip){ xgood[ip]=0; };
184			void ResetYGood(int ip){ ygood[ip]=0; };
185			void SetXGood(int ip, int clid, int is);
186			void SetYGood(int ip, int clid, int is);
187	pam-fi	1.24
188			Bool_t BadClusterX(int ip){ return IsBad(ip,0); };
189			Bool_t BadClusterY(int ip){ return IsBad(ip,1); };
190
191			Bool_t SaturatedClusterX(int ip){ return IsSaturated(ip,0); };
192			Bool_t SaturatedClusterY(int ip){ return IsSaturated(ip,1); };
193	pam-fi	1.20
194	mocchiut	1.1	TrkTrack* GetTrkTrack(){return this;};
195
196	pam-fi	1.3	friend class TrkLevel2;
197
198	pam-fi	1.24	ClassDef(TrkTrack,3);
199	mocchiut	1.1
200			};
201			/**
202			* \brief Class to describe single clusters ("singlets").
203			*
204			* Single clusters are clusters not associated to any track.
205			*/
206			class TrkSinglet : public TObject {
207
208			private:
209	pam-fi	1.8
210	mocchiut	1.1
211			public:
212	pam-fi	1.8
213	mocchiut	1.1	int plane; ///<plane
214			float coord[2]; ///<coordinate (on sensor 1 and 2)
215	pam-fi	1.24	float sgnl; ///<cluster signal in MIP (<0 if saturated)
216	mocchiut	1.1
217			TrkSinglet();
218			TrkSinglet(const TrkSinglet&);
219	pam-fi	1.15	~TrkSinglet(){Delete();};
220	mocchiut	1.1
221			void Dump();
222	pam-fi	1.15	void Clear();
223			void Clear(Option_t *option){Clear();};
224			void Delete(){Clear();};
225	pam-fi	1.24	Float_t GetSignal(){return fabs(sgnl);}
226			Bool_t IsSaturated(){return (sgnl<0); };
227	pam-fi	1.8
228	pam-fi	1.3	friend class TrkLevel2;
229
230	pam-fi	1.24	ClassDef(TrkSinglet,3);
231	mocchiut	1.1
232			};
233
234			/**
235			* \brief Class to describe tracker LEVEL2 data.
236			*
237			* A tracker events is defined by some general variables, plus the collection of all the fitted tracks and all
238			* single clusters on X and Y views.
239			* Tracks and single clusters ("singlets") are described by the classes TrkTrack and TrkSinglet respectivelly.
240			*
241			* Each track may have an "image", due to the ambiguity on the Y view, which is stored also.
242			* Thus, the number of stored tracks ( ntrk() ) differs from the number of "physical" tracks ( GetNTracks() ).
243			* Proper methods allow to sort tracks and select the physical ones ( GetTracks() ).
244	pam-fi	1.28	*
245			* The event status indicates the processing status of data from each DSP, according to the following
246			* notation:
247			*
248			* xxxx xxxx xxxx xxxx xxxx xxxx
249			* \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\|_ 0 missing packet
250			* \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|__ 1 CRC error
251			* \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\| \|\|___ 2 on-line software alarm (latch-up, timeout ecc...)
252			* \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\| \|____ 3 jump in the trigger counter
253			* \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\|______ 4 decode error
254			* \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|_______ 5 n.clusters > maximum number (level1 processing)
255			* \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\| \|\|________ 6
256			* \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\| \|_________ 7
257			* \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|\|___________ 8 n.clusters > maximum value (level2 processing)
258			* \|\|\|\| \|\|\|\| \|\|\|\| \|\|\|____________ 9 n.couples per plane > maximum values (vector dimention)
259			* \|\|\|\| \|\|\|\| \|\|\|\| \|\|_____________ 10 n.doublets > maximum values
260			* \|\|\|\| \|\|\|\| \|\|\|\| \|______________ 11 n.triplets > maximum values
261			* \|\|\|\| \|\|\|\| \|\|\|\|________________ 12 n.yz-clouds > maximum values
262			* \|\|\|\| \|\|\|\| \|\|\|_________________ 13 n.xz-clouds > maximum values
263			* \|\|\|\| \|\|\|\| \|\|__________________ 14 n.candidate-tracks > maximum values
264			* \|\|\|\| \|\|\|\| \|___________________ 15 n.couples per plane > maximum values (for Hough transform)
265			* \|\|\|\| \|\|\|\|_____________________ 16
266			*
267			*
268			* For all data processed before June 2007 the event status was coded according to
269			* a different rule:
270			*
271			* Status of level1 processing
272			* 0 -- OK
273			* 1 -- missing packet
274			* 2 -- 1 CRC error
275			* 3 -- 2 on-line software alarm (latch-up flags asserted or n.transmitted-words = 0)
276			* 4 -- 3 jump in the trigger counter
277			* 10 -- 4 decode error
278			* 11 -- 5 n.clusters > maximum number (for level1 processing)
279			* Status of level2 processing
280			* 21 -- 0 n.clusters > maximum value (for level2 processing)
281			* 22 -- 1 n.couples per plane > maximum values (vector dimention)
282			* 23 -- 2 n.doublets > maximum values
283			* 24 -- 3 n.triplets > maximum values
284			* 25 -- 4 n.yz-clouds > maximum values
285			* 26 -- 5 n.xz-clouds > maximum values
286			* 27 -- 6 n.candidate-tracks > maximum values
287			* 28 -- 7 n.couples per plane > maximum values (for Hough transform)
288			*
289			*
290	mocchiut	1.1	*/
291			class TrkLevel2 : public TObject {
292
293			private:
294	pam-fi	1.15
295	mocchiut	1.1	public:
296
297	pam-fi	1.15	Int_t good[12]; ///< event status
298	pam-fi	1.24	UInt_t VKmask[12]; ///< Viking-chip mask
299			UInt_t VKflag[12]; ///< Viking-chip flag
300	mocchiut	1.1
301			TClonesArray *Track; ///< fitted tracks
302			TClonesArray *SingletX; ///< x singlets
303			TClonesArray *SingletY; ///< y singlets
304
305			TrkLevel2();
306			// TrkLevel2(cTrkLevel2 *);
307	pam-fi	1.11	~TrkLevel2(){Delete();};
308	pam-fi	1.10
309	pam-fi	1.11	void Clear();
310	pam-fi	1.15	void Clear(Option_t *option){Clear();};
311	pam-fi	1.11	void Delete();
312	pam-fi	1.16	void Set();
313	pam-fi	1.11
314			int ntrk() {return Track->GetEntries();} ///< number of stored track
315	mocchiut	1.1	int nclsx(){return SingletX->GetEntries();} ///< number of x singlets
316			int nclsy(){return SingletY->GetEntries();} ///< number of y singlets
317
318			void Dump();
319	pam-fi	1.11	void SetFromLevel2Struct(cTrkLevel2 , TrkLevel1 );
320	pam-fi	1.18	void SetFromLevel2Struct(cTrkLevel2 *s2){ SetFromLevel2Struct(s2, NULL); };
321			void SetFromLevel2Struct(TrkLevel1 *l1) { SetFromLevel2Struct(&level2event_, l1); };
322			void SetFromLevel2Struct() { SetFromLevel2Struct(&level2event_); };
323	pam-fi	1.11	void GetLevel2Struct(cTrkLevel2 *) const;
324	pam-fi	1.3	void LoadField(TString);
325	pam-fi	1.25	float GetBX(float* v){return TrkParams::GetBX(v);};///< Bx (kGauss)
326			float GetBY(float* v){return TrkParams::GetBY(v);};///< By (kGauss)
327			float GetBZ(float* v){return TrkParams::GetBZ(v);};///< Bz (kGauss)
328	pam-fi	1.6	Float_t GetZTrk(Int_t);
329			Float_t GetXTrkLeft(){return XTRKL;};
330			Float_t GetXTrkRight(){return XTRKR;};
331			Float_t GetYTrkLeft(){return YTRKL;};
332			Float_t GetYTrkRight(){return YTRKR;};
333
334	pam-fi	1.24	Bool_t IsMaskedVK(int,int);
335			Bool_t GetVKMask(int,int);
336			Bool_t GetVKFlag(int,int);
337
338	pam-fi	1.6	TrkSinglet *GetSingletX(int);
339			TrkSinglet *GetSingletY(int);
340
341			TrkTrack *GetStoredTrack(int i);
342	pam-fi	1.3	Int_t GetSeqNo(Int_t i) {return (((TrkTrack *)Track->At(i))->seqno);}; ///< Returns track sequential number
343	pam-fi	1.24
344	pam-fi	1.11	TRefArray *GetTracks_NFitSorted();
345			TRefArray *GetTracks(){return this->GetTracks_NFitSorted();};
346
347			Int_t GetNTracks();
348			TrkTrack* GetTrack(int i);
349	mocchiut	1.1	TrkTrack* GetTrackImage(int i);
350	pam-fi	1.11
351	pam-fi	1.3	TrkLevel2* GetTrkLevel2(){return this;}
352			TClonesArray* GetTrackArray(){return Track;};///< returns pointer to the track array
353
354	pam-fi	1.28	void StatusDump(int view);
355			Bool_t StatusCheck(int view, int flagmask);
356
357	pam-fi	1.24	ClassDef(TrkLevel2,3);
358	mocchiut	1.1
359			};
360
361			#endif