/[PAMELA software]/DarthVader/TrackerLevel2/inc/TrkLevel2.h
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revision 1.2 by pam-fi, Thu Jun 1 09:03:09 2006 UTC revision 1.34 by pam-fi, Tue Jan 22 08:55:06 2008 UTC
# Line 8  Line 8 
8  #include <TObject.h>  #include <TObject.h>
9  #include <TObjArray.h>  #include <TObjArray.h>
10  #include <TClonesArray.h>  #include <TClonesArray.h>
11  #include <TrkStruct.h>  #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  // z-coordinate of track state-vector reference-plane
18  #define ZINI 23.5    #define ZINI 23.5  
19  // upper and lower (mechanical) z-coordinate of the tracker  // (mechanical) z-coordinate of the tracker planes
20  #define ZTRKUP 22.29  #define ZTRK6 -22.22
21  #define ZTRKDW -22.22  #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    // (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    
39  /**  /**
40   * \brief Class to describe, by points, a particle trajectory in the apparatus.   * \brief Class to describe, by points, a particle trajectory in the apparatus.
# Line 40  class Trajectory : public TObject{ Line 59  class Trajectory : public TObject{
59      Trajectory();      Trajectory();
60      Trajectory(int n);      Trajectory(int n);
61      Trajectory(int n, float* pz);      Trajectory(int n, float* pz);
62        ~Trajectory(){Delete();};
63      void Dump();      void Dump();
64        void Delete();
65    
66        int DoTrack2(float* al);
67      float GetLength(){float l=0; for(int i=0; i<npoint;i++)l=l+tl[i]; return l;};      float GetLength(){float l=0; for(int i=0; i<npoint;i++)l=l+tl[i]; return l;};
68      float GetLength(int,int);      float GetLength(int,int);
69    
70      ClassDef(Trajectory,1);      ClassDef(Trajectory,2);
71    
72  };  };
73  /**  /**
# Line 54  class Trajectory : public TObject{ Line 76  class Trajectory : public TObject{
76   * A track is defined by the measured coordinates associated to it, the   * A track is defined by the measured coordinates associated to it, the
77   * track status vector, plus other quantities.   * track status vector, plus other quantities.
78   * A track may have an "image", due to the ambiguity in the y view.   * A track may have an "image", due to the ambiguity in the y view.
79     *
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   */   */
88  // ==================================================================  // ==================================================================
89  class TrkTrack : public TObject {  class TrkTrack : public TObject {
# Line 62  private: Line 92  private:
92    
93  public:  public:
94    
95        int   seqno;           ///<stored track sequential number
96        int   image;           ///<sequential number of track-image
97            
98      float al[5];           ///<TRACK STATE VECTOR      float al[5];           ///<TRACK STATE VECTOR
99      float coval[5][5];     ///<covariance matrix      float coval[5][5];     ///<covariance matrix
100      int   xgood[6];        ///<mask of included x planes      int   xgood[6];        ///<cluster id for x-view (0 = view not included in the fit)
101      int   ygood[6];        ///<mask of included y planes      int   ygood[6];        ///<cluster id for y-view (0 = view not included in the fit)
102      float xm[6];           ///<measured x coordinates      float xm[6];           ///<measured x coordinates
103      float ym[6];           ///<measured y coordinates      float ym[6];           ///<measured y coordinates
104      float zm[6];           ///<measured z coordinates      float zm[6];           ///<measured z coordinates
105      float resx[6];         ///<spatial resolution on X view      float resx[6];         ///<spatial resolution on X view
106      float resy[6];         ///<spatial resolution on y view      float resy[6];         ///<spatial resolution on y view
107        float tailx[6];        ///<spatial resolution tail on X view
108        float taily[6];        ///<spatial resolution tail on y view
109      float chi2;            ///<chi2      float chi2;            ///<chi2
110        int   nstep;           ///<n.step
111      float xv[6];           ///<calculated x coordinates      float xv[6];           ///<calculated x coordinates
112      float yv[6];           ///<calculated y coordinates      float yv[6];           ///<calculated y coordinates
113      float zv[6];           ///<calculated z coordinates      float zv[6];           ///<calculated z coordinates
114      float axv[6];          ///<calculated angles (deg) on x view      float axv[6];          ///<calculated angles (deg) on x view
115      float ayv[6];          ///<calculated angles (deg) on y view      float ayv[6];          ///<calculated angles (deg) on y view
116      float dedx_x[6];       ///<signal in MIP (scaled to 300 micrometer)      float dedx_x[6];       ///<dE/dx in MIP (<0 if saturated)
117      float dedx_y[6];       ///<signal in MIP (scaled to 300 micrometer)      float dedx_y[6];       ///<dE/dx in MIP (<0 if saturated)
118      int   image;           ///<flag to tag track-images      int   multmaxx[6];     ///<cluster multiplicity and strip of maximum on x view
119        int   multmaxy[6];     ///<cluster multiplicity and strip of maximum on y view
120        float seedx[6];        ///< seed of the cluster x
121        float seedy[6];        ///< seed of the cluster y
122        float xpu[6];          ///< x coordinate in pitch units
123        float ypu[6];          ///< y coordinate in pitch units
124    
125      TrkTrack();      TrkTrack();
126      TrkTrack(const TrkTrack&);      TrkTrack(const TrkTrack&);
127    
128        ~TrkTrack(){ Delete(); };
129            
130      void Dump();      void Dump();
131        void Clear();
132        void Clear(Option_t *option){Clear();};
133        void Delete();
134        void Copy(TrkTrack&);
135    //    void Set();
136    
137        Int_t  GetSeqNo(){return seqno;}        ///< Returns the track sequential number
138        Int_t  GetImageSeqNo(){return image;}   ///< Returns the track image sequential number
139      Bool_t HasImage(){return !(image==-1);} ///< Returns true if the track has an image      Bool_t HasImage(){return !(image==-1);} ///< Returns true if the track has an image
140      int DoTrack(Trajectory* t);                         ///< Evaluates the trajectory in the apparatus.      int DoTrack(Trajectory* t);                         ///< Evaluates the trajectory in the apparatus.
141      int DoTrack2(Trajectory* t);                        ///< Evaluates the trajectory in the apparatus.      int DoTrack2(Trajectory* t);                        ///< Evaluates the trajectory in the apparatus.
142      float BdL(){return 0;};                                     ///< Evaluates the integral of B*dL along the track.      float BdL(){return 0;};                                     ///< Evaluates the integral of B*dL along the track.
143      Int_t GetNX(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=xgood[i]; return n;};      Int_t GetNX(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=(Int_t)XGood(i); return n;};
144      Int_t GetNY(){Int_t n=0; for(Int_t i=0; i<6; i++)n+=ygood[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;};
145        Int_t GetNtot(){return GetNX()+GetNY();};
146      Float_t GetRigidity();      Float_t GetRigidity();
147      Float_t GetDeflection();      Float_t GetDeflection();
148        Bool_t IsSaturated(int,int);
149        Bool_t IsSaturated(int);
150        Bool_t IsSaturated();
151        Bool_t IsBad(int,int);
152      Float_t GetDEDX();      Float_t GetDEDX();
153        Float_t GetDEDX(int ip);
154        Float_t GetDEDX(int ip,int iv);
155        Int_t GetLeverArmX();
156        Int_t GetLeverArmY();
157        Float_t GetChi2X();
158        Float_t GetChi2Y();
159        Float_t GetLnLX();
160        Float_t GetLnLY();
161    
162        Float_t GetEffectiveAngle(int ip, int iv);
163        
164        void SetMeasure(double *xmeas, double *ymeas, double *zmeas);
165        void SetResolution(double *rx, double *ry);
166        void SetTail(double *tx, double *ty, double factor);
167        void SetStudentParam(int flag);
168        void SetGood(int *xg, int *yg);
169        void LoadField(TString s);
170        void Fit(double pfixed, int& fail, int iprint, int froml1);
171        void Fit(double pfixed, int& fail, int iprint){ Fit(pfixed,fail,iprint,0); };
172        void FitReset();
173        void SetTrackingMode(int trackmode);
174        void SetPrecisionFactor(double fact);
175        void SetStepMin(int istepmin);
176        void SetDeltaB(int id, double db);
177    
178        Bool_t IsInsideCavity();
179    
180        Bool_t EvaluateClusterPositions();
181    
182        void FillMiniStruct(cMini2track&);
183        void SetFromMiniStruct(cMini2track*);
184        
185        Int_t GetClusterX_ID(int ip);
186        Int_t GetClusterY_ID(int ip);
187        Int_t GetLadder(int ip);
188        Int_t GetSensor(int ip);
189        Bool_t XGood(int ip){ return GetClusterX_ID(ip)!=-1; };
190        Bool_t YGood(int ip){ return GetClusterY_ID(ip)!=-1; };
191        void ResetXGood(int ip){ xgood[ip]=0; };
192        void ResetYGood(int ip){ ygood[ip]=0; };
193        void SetXGood(int ip, int clid, int is);
194        void SetYGood(int ip, int clid, int is);
195    
196        Bool_t BadClusterX(int ip){ return IsBad(ip,0); };
197        Bool_t BadClusterY(int ip){ return IsBad(ip,1); };
198    
199        Bool_t SaturatedClusterX(int ip){ return IsSaturated(ip,0); };
200        Bool_t SaturatedClusterY(int ip){ return IsSaturated(ip,1); };
201    
202        Int_t GetClusterX_Multiplicity(int ip){ return (Int_t)(multmaxx[ip]/10000); };
203        Int_t GetClusterY_Multiplicity(int ip){ return (Int_t)(multmaxy[ip]/10000); };
204        Int_t GetClusterX_MaxStrip(int ip){ return (Int_t)(multmaxx[ip]%10000); };
205        Int_t GetClusterY_MaxStrip(int ip){ return (Int_t)(multmaxy[ip]%10000); };
206        Float_t GetClusterX_Seed(int ip){ return seedx[ip]; };
207        Float_t GetClusterY_Seed(int ip){ return seedy[ip]; };
208    /*     Float_t GetClusterX_CoordinatePU(int ip); */
209    /*     Float_t GetClusterY_CoordinatePU(int ip); */
210        
211        Float_t GetYav();
212        Float_t GetXav();
213        Float_t GetZav();
214    
215        Int_t GetNColumns();
216    
217        Float_t GetDEDX_max(int ip, int iv);
218        Float_t GetDEDX_max(int iv){ return GetDEDX_max(-1,iv); };
219        Float_t GetDEDX_max(){ return GetDEDX_max(-1,-1); };
220        Float_t GetDEDX_min(int ip, int iv);
221        Float_t GetDEDX_min(int iv){ return GetDEDX_min(-1,iv); };
222        Float_t GetDEDX_min(){ return GetDEDX_min(-1,-1); };
223    
224        Float_t GetResidual_max(int ip, int iv);
225        Float_t GetResidual_max(int iv){ return GetResidual_max(-1,iv); };
226        Float_t GetResidual_max(){ return GetResidual_max(-1,-1); };
227    
228        Int_t GetClusterX_Multiplicity_max();
229        Int_t GetClusterX_Multiplicity_min();
230        Int_t GetClusterY_Multiplicity_max();
231        Int_t GetClusterY_Multiplicity_min();
232    
233        Float_t GetClusterX_Seed_min();
234        Float_t GetClusterY_Seed_min();
235    
236      TrkTrack* GetTrkTrack(){return this;};      TrkTrack* GetTrkTrack(){return this;};
237    
238      ClassDef(TrkTrack,1);      friend class TrkLevel2;
239    
240        ClassDef(TrkTrack,4);
241    
242  };  };
243  /**  /**
# Line 109  public: Line 248  public:
248  class TrkSinglet : public TObject {  class TrkSinglet : public TObject {
249    
250  private:  private:
251            
252    
253  public:  public:
254            
255      int plane;       ///<plane      int plane;       ///<plane
256      float coord[2];  ///<coordinate (on sensor 1 and 2)      float coord[2];  ///<coordinate (on sensor 1 and 2)
257      float sgnl;      ///<cluster signal in MIP      float sgnl;      ///<cluster signal in MIP (<0 if saturated)
258    
259      TrkSinglet();      TrkSinglet();
260      TrkSinglet(const TrkSinglet&);      TrkSinglet(const TrkSinglet&);
261        ~TrkSinglet(){Delete();};
262    
263      void Dump();      void Dump();
264        void Clear();
265        void Clear(Option_t *option){Clear();};
266        void Delete(){Clear();};
267        Float_t GetSignal(){return fabs(sgnl);}
268        Bool_t IsSaturated(){return (sgnl<0); };
269            
270        friend class TrkLevel2;
271    
272      ClassDef(TrkSinglet,1);      ClassDef(TrkSinglet,3);
273    
274  };  };
275    
# Line 135  public: Line 283  public:
283   * Each track may have an "image", due to the ambiguity on the Y view, which is stored also.   * Each track may have an "image", due to the ambiguity on the Y view, which is stored also.
284   * Thus, the number of stored tracks ( ntrk() ) differs from the number of "physical" tracks ( GetNTracks() ).   * Thus, the number of stored tracks ( ntrk() ) differs from the number of "physical" tracks ( GetNTracks() ).
285   * Proper methods allow to sort tracks and select the physical ones ( GetTracks() ).   * Proper methods allow to sort tracks and select the physical ones ( GetTracks() ).
286     *
287     * The event status indicates the processing status of data from each DSP, according to the following
288     * notation:
289     *
290     *     xxxx xxxx xxxx xxxx xxxx xxxx
291     *     |||| |||| |||| |||| |||| ||||_ 0 missing packet
292     *     |||| |||| |||| |||| |||| |||__ 1 CRC error
293     *     |||| |||| |||| |||| |||| ||___ 2 on-line software alarm (latch-up, timeout ecc...)
294     *     |||| |||| |||| |||| |||| |____ 3 jump in the trigger counter
295     *     |||| |||| |||| |||| ||||______ 4 decode error
296     *     |||| |||| |||| |||| |||_______ 5 n.clusters > maximum number (level1 processing)
297     *     |||| |||| |||| |||| ||________ 6
298     *     |||| |||| |||| |||| |_________ 7
299     *     |||| |||| |||| ||||___________ 8 n.clusters > maximum value (level2 processing)
300     *     |||| |||| |||| |||____________ 9 n.couples per plane > maximum values (vector dimention)
301     *     |||| |||| |||| ||_____________ 10 n.doublets > maximum values
302     *     |||| |||| |||| |______________ 11 n.triplets > maximum values
303     *     |||| |||| ||||________________ 12 n.yz-clouds > maximum values
304     *     |||| |||| |||_________________ 13 n.xz-clouds > maximum values
305     *     |||| |||| ||__________________ 14 n.candidate-tracks > maximum values
306     *     |||| |||| |___________________ 15 n.couples per plane > maximum values (for Hough transform)
307     *     |||| ||||_____________________ 16
308     *        
309     *
310     * For all data processed before June 2007 the event status was coded according to
311     * a different rule:
312     *
313     * Status of level1 processing
314     *  0 -- OK  
315     *  1 -- missing packet
316     *  2 -- 1  CRC error
317     *  3 -- 2 on-line software alarm (latch-up flags asserted or n.transmitted-words = 0)
318     *  4 -- 3 jump in the trigger counter
319     * 10 -- 4 decode error
320     * 11 -- 5  n.clusters > maximum number (for level1 processing)
321     * Status of level2 processing
322     * 21 -- 0 n.clusters > maximum value (for level2 processing)
323     * 22 -- 1 n.couples per plane > maximum values (vector dimention)
324     * 23 -- 2 n.doublets > maximum values
325     * 24 -- 3 n.triplets > maximum values
326     * 25 -- 4 n.yz-clouds > maximum values
327     * 26 -- 5 n.xz-clouds > maximum values
328     * 27 -- 6 n.candidate-tracks > maximum values
329     * 28 -- 7 n.couples per plane > maximum values (for Hough transform)
330     *  
331     *
332   */   */
333  class TrkLevel2 : public TObject {  class TrkLevel2 : public TObject {
334    
335   private:   private:
336    
337   public:   public:
338    
339        Int_t         good[12];       ///< event status
340        UInt_t        VKmask[12];     ///< Viking-chip mask
341      Int_t good2;      UInt_t        VKflag[12];     ///< Viking-chip flag
     Int_t crc[12];  
342    
343      TClonesArray *Track;        ///< fitted tracks      TClonesArray *Track;        ///< fitted tracks
344      TClonesArray *SingletX;     ///< x singlets      TClonesArray *SingletX;     ///< x singlets
# Line 153  class TrkLevel2 : public TObject { Line 346  class TrkLevel2 : public TObject {
346    
347      TrkLevel2();      TrkLevel2();
348  //    TrkLevel2(cTrkLevel2 *);  //    TrkLevel2(cTrkLevel2 *);
349        ~TrkLevel2(){Delete();};
350      int ntrk(){return Track->GetEntries();}     ///< number of stored track          
351        void Clear();
352        void Clear(Option_t *option){Clear();};
353        void Delete();
354        void Set();
355        
356        int ntrk() {return Track->GetEntries();}    ///< number of stored track
357      int nclsx(){return SingletX->GetEntries();} ///< number of x singlets      int nclsx(){return SingletX->GetEntries();} ///< number of x singlets
358      int nclsy(){return SingletY->GetEntries();} ///< number of y singlets      int nclsy(){return SingletY->GetEntries();} ///< number of y singlets
359    
360      void Dump();      void Dump();
361      void FillCommonVar(cTrkLevel2 *);      void SetFromLevel2Struct(cTrkLevel2 *, TrkLevel1 *);
362      void Clear();      void SetFromLevel2Struct(cTrkLevel2 *s2){ SetFromLevel2Struct(s2, NULL);          };
363          void LoadField(TString);      void SetFromLevel2Struct(TrkLevel1 *l1) { SetFromLevel2Struct(&level2event_, l1); };    
364        void SetFromLevel2Struct()              { SetFromLevel2Struct(&level2event_);     };    
365      TrkTrack *GetStoredTrack(int i);      void GetLevel2Struct(cTrkLevel2 *) const;
366      TClonesArray *GetTracks();        void LoadField(TString);
367        float GetBX(float* v){return TrkParams::GetBX(v);};///< Bx (kGauss)
368      int GetNTracks(){return this->GetTracks()->GetEntries();}      float GetBY(float* v){return TrkParams::GetBY(v);};///< By (kGauss)
369        float GetBZ(float* v){return TrkParams::GetBZ(v);};///< Bz (kGauss)
370        Float_t GetZTrk(Int_t);
371        Float_t GetXTrkLeft(){return XMAGNLOW;};
372        Float_t GetXTrkRight(){return XMAGNHIGH;};
373        Float_t GetYTrkLeft(){return YMAGNLOW;};
374        Float_t GetYTrkRight(){return YMAGNHIGH;};
375        
376        Bool_t IsMaskedVK(int,int);
377        Bool_t GetVKMask(int,int);
378        Bool_t GetVKFlag(int,int);
379    
380        TrkSinglet   *GetSingletX(int);
381        TrkSinglet   *GetSingletY(int);
382        
383        TrkTrack     *GetStoredTrack(int i);
384        Int_t         GetSeqNo(Int_t i)  {return (((TrkTrack *)Track->At(i))->seqno);}; ///< Returns track sequential number
385    
386        TRefArray *GetTracks_NFitSorted();
387        TRefArray *GetTracks(){return this->GetTracks_NFitSorted();};
388        
389        Int_t     GetNTracks();
390      TrkTrack* GetTrack(int i);      TrkTrack* GetTrack(int i);
391      TrkTrack* GetTrackImage(int i);      TrkTrack* GetTrackImage(int i);
392        
393        TrkLevel2*    GetTrkLevel2(){return this;}
394        TClonesArray* GetTrackArray(){return Track;};///< returns pointer to the track array
395        
396        void   StatusDump(int view);
397        Bool_t StatusCheck(int view, int flagmask);
398    
399      TrkLevel2* GetTrkLevel2(){return this;}      ClassDef(TrkLevel2,3);
   
     ClassDef(TrkLevel2,1);  
400    
401  };  };
402    
   
   
   
403  #endif  #endif
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