/[PAMELA software]/DarthVader/TrackerLevel2/inc/TrkLevel2.h
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revision 1.13 by pam-fi, Tue Nov 14 16:20:53 2006 UTC revision 1.33 by pam-fi, Tue Nov 27 11:43:49 2007 UTC
# Line 11  Line 11 
11  #include <TRefArray.h>  #include <TRefArray.h>
12  #include <TRef.h>  #include <TRef.h>
13    
14  #include <TrkStruct.h>  #include <TrkParams.h>
15  #include <TrkLevel1.h>  #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  
 // upper and lower (mechanical) z-coordinate of the tracker  
 //#define ZTRKUP 22.29  
 //#define ZTRKDW -22.22  
19  // (mechanical) z-coordinate of the tracker planes  // (mechanical) z-coordinate of the tracker planes
20  #define ZTRK6 -22.23  #define ZTRK6 -22.22
21  #define ZTRK5 -13.32  #define ZTRK5 -13.31
22  #define ZTRK4 -4.42  #define ZTRK4 -4.41
23  #define ZTRK3 4.48  #define ZTRK3 4.49
24  #define ZTRK2 13.38  #define ZTRK2 13.39
25  #define ZTRK1 22.28  #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  // (mechanical) x/y-coordinates of magnet cavity
34  #define XTRKL -8.1  #define XTRKL -8.1
35  #define XTRKR  8.1  #define XTRKR  8.1
# Line 55  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);      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;};
# Line 70  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 {
90    
91  private:  private:
92    
93    public:
94    
95      int   seqno;           ///<stored track sequential number      int   seqno;           ///<stored track sequential number
96      int   image;           ///<sequential number of track-image      int   image;           ///<sequential number of track-image
   
97                    
 public:  
   
 //      TRef clx[6];  
 //      TRef cly[6];  
     TRefArray *clx;  
     TRefArray *cly;  
   
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      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   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();};      ~TrkTrack(){ Delete(); };
129                    
130      void Dump();      void Dump();
131      void Clear();      void Clear();
132        void Clear(Option_t *option){Clear();};
133      void Delete();      void Delete();
134                void Copy(TrkTrack&);
135    //    void Set();
136    
137      Int_t  GetSeqNo(){return seqno;}        ///< Returns the track sequential number      Int_t  GetSeqNo(){return seqno;}        ///< Returns the track sequential number
138      Int_t  GetImageSeqNo(){return image;}   ///< Returns the track image sequential number      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();};      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_t ip){if( !(xgood[ip]+ygood[ip]) ) return 0; return (dedx_x[ip]+dedx_y[ip])/(xgood[ip]+ygood[ip]);};      Float_t GetDEDX(int ip);
154      // sono un'imbecille... assegno xm e ym anche quando si tratta di un singolo      Float_t GetDEDX(int ip,int iv);
155      // non posso quindi usare xm e ym per dire se una vista e` inclusa nel fit o no      Int_t GetLeverArmX();
156  /*      Bool_t XGood(int ip){ return xm[ip] != -100.;};      Int_t GetLeverArmY();
157          Bool_t YGood(int ip){ return ym[ip] != -100.;};*/      Float_t GetChi2X();
158      Bool_t XGood(int ip){ return xgood[ip]==1;};      Float_t GetChi2Y();
159      Bool_t YGood(int ip){ return ygood[ip]==1;};      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);      void SetMeasure(double *xmeas, double *ymeas, double *zmeas);
165      void SetResolution(double *rx, double *ry);      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);      void SetGood(int *xg, int *yg);
169      void LoadField(TString s);      void LoadField(TString s);
170      void Fit(double pfixed, int& fail, int iprint);      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();      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      TrkCluster *GetClusterX(int ip){TrkCluster *pt = (TrkCluster*)(clx->At(ip)); return pt;};      Int_t GetClusterX_ID(int ip);
186      TrkCluster *GetClusterY(int ip){TrkCluster *pt = (TrkCluster*)(cly->At(ip)); return pt;};      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    
212      TrkTrack* GetTrkTrack(){return this;};      TrkTrack* GetTrkTrack(){return this;};
213    
214      friend class TrkLevel2;      friend class TrkLevel2;
215    
216      ClassDef(TrkTrack,2);      ClassDef(TrkTrack,4);
217    
218  };  };
219  /**  /**
# Line 165  private: Line 228  private:
228    
229  public:  public:
230                    
         TRef cls;  
   
231      int plane;       ///<plane      int plane;       ///<plane
232      float coord[2];  ///<coordinate (on sensor 1 and 2)      float coord[2];  ///<coordinate (on sensor 1 and 2)
233      float sgnl;      ///<cluster signal in MIP      float sgnl;      ///<cluster signal in MIP (<0 if saturated)
234    
235      TrkSinglet();      TrkSinglet();
236      TrkSinglet(const TrkSinglet&);      TrkSinglet(const TrkSinglet&);
237        ~TrkSinglet(){Delete();};
238    
239      void Dump();      void Dump();
240        void Clear();
241        void Clear(Option_t *option){Clear();};
242        void Delete(){Clear();};
243        Float_t GetSignal(){return fabs(sgnl);}
244        Bool_t IsSaturated(){return (sgnl<0); };
245                    
     TrkCluster *GetCluster(){TrkCluster *pt = (TrkCluster*)cls.GetObject(); return pt;};  
   
246      friend class TrkLevel2;      friend class TrkLevel2;
247    
248      ClassDef(TrkSinglet,2);      ClassDef(TrkSinglet,3);
249    
250  };  };
251    
# Line 194  public: Line 259  public:
259   * 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.
260   * 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() ).
261   * Proper methods allow to sort tracks and select the physical ones ( GetTracks() ).   * Proper methods allow to sort tracks and select the physical ones ( GetTracks() ).
262     *
263     * The event status indicates the processing status of data from each DSP, according to the following
264     * notation:
265     *
266     *     xxxx xxxx xxxx xxxx xxxx xxxx
267     *     |||| |||| |||| |||| |||| ||||_ 0 missing packet
268     *     |||| |||| |||| |||| |||| |||__ 1 CRC error
269     *     |||| |||| |||| |||| |||| ||___ 2 on-line software alarm (latch-up, timeout ecc...)
270     *     |||| |||| |||| |||| |||| |____ 3 jump in the trigger counter
271     *     |||| |||| |||| |||| ||||______ 4 decode error
272     *     |||| |||| |||| |||| |||_______ 5 n.clusters > maximum number (level1 processing)
273     *     |||| |||| |||| |||| ||________ 6
274     *     |||| |||| |||| |||| |_________ 7
275     *     |||| |||| |||| ||||___________ 8 n.clusters > maximum value (level2 processing)
276     *     |||| |||| |||| |||____________ 9 n.couples per plane > maximum values (vector dimention)
277     *     |||| |||| |||| ||_____________ 10 n.doublets > maximum values
278     *     |||| |||| |||| |______________ 11 n.triplets > maximum values
279     *     |||| |||| ||||________________ 12 n.yz-clouds > maximum values
280     *     |||| |||| |||_________________ 13 n.xz-clouds > maximum values
281     *     |||| |||| ||__________________ 14 n.candidate-tracks > maximum values
282     *     |||| |||| |___________________ 15 n.couples per plane > maximum values (for Hough transform)
283     *     |||| ||||_____________________ 16
284     *        
285     *
286     * For all data processed before June 2007 the event status was coded according to
287     * a different rule:
288     *
289     * Status of level1 processing
290     *  0 -- OK  
291     *  1 -- missing packet
292     *  2 -- 1  CRC error
293     *  3 -- 2 on-line software alarm (latch-up flags asserted or n.transmitted-words = 0)
294     *  4 -- 3 jump in the trigger counter
295     * 10 -- 4 decode error
296     * 11 -- 5  n.clusters > maximum number (for level1 processing)
297     * Status of level2 processing
298     * 21 -- 0 n.clusters > maximum value (for level2 processing)
299     * 22 -- 1 n.couples per plane > maximum values (vector dimention)
300     * 23 -- 2 n.doublets > maximum values
301     * 24 -- 3 n.triplets > maximum values
302     * 25 -- 4 n.yz-clouds > maximum values
303     * 26 -- 5 n.xz-clouds > maximum values
304     * 27 -- 6 n.candidate-tracks > maximum values
305     * 28 -- 7 n.couples per plane > maximum values (for Hough transform)
306     *  
307     *
308   */   */
309  class TrkLevel2 : public TObject {  class TrkLevel2 : public TObject {
310    
311   private:   private:
312            
 //      TRefArray    *PhysicalTrack;  ///< physical tracks (no image) -  
           
313   public:   public:
314    
315          Int_t         good[12];       ///< event status      Int_t         good[12];       ///< event status
316  //      Int_t good2;      UInt_t        VKmask[12];     ///< Viking-chip mask
317  //    Int_t crc[12];      UInt_t        VKflag[12];     ///< Viking-chip flag
318    
319      TClonesArray *Track;        ///< fitted tracks      TClonesArray *Track;        ///< fitted tracks
320      TClonesArray *SingletX;     ///< x singlets      TClonesArray *SingletX;     ///< x singlets
# Line 216  class TrkLevel2 : public TObject { Line 325  class TrkLevel2 : public TObject {
325      ~TrkLevel2(){Delete();};      ~TrkLevel2(){Delete();};
326                    
327      void Clear();      void Clear();
328        void Clear(Option_t *option){Clear();};
329      void Delete();      void Delete();
330        void Set();
331            
332      int ntrk() {return Track->GetEntries();}    ///< number of stored track      int ntrk() {return Track->GetEntries();}    ///< number of stored track
333      int nclsx(){return SingletX->GetEntries();} ///< number of x singlets      int nclsx(){return SingletX->GetEntries();} ///< number of x singlets
334      int nclsy(){return SingletY->GetEntries();} ///< number of y singlets      int nclsy(){return SingletY->GetEntries();} ///< number of y singlets
335    
336      void Dump();      void Dump();
     void SetFromLevel2Struct(cTrkLevel2 *);  
337      void SetFromLevel2Struct(cTrkLevel2 *, TrkLevel1 *);      void SetFromLevel2Struct(cTrkLevel2 *, TrkLevel1 *);
338        void SetFromLevel2Struct(cTrkLevel2 *s2){ SetFromLevel2Struct(s2, NULL);          };
339        void SetFromLevel2Struct(TrkLevel1 *l1) { SetFromLevel2Struct(&level2event_, l1); };    
340        void SetFromLevel2Struct()              { SetFromLevel2Struct(&level2event_);     };    
341      void GetLevel2Struct(cTrkLevel2 *) const;      void GetLevel2Struct(cTrkLevel2 *) const;
342      void LoadField(TString);      void LoadField(TString);
343        float GetBX(float* v){return TrkParams::GetBX(v);};///< Bx (kGauss)
344        float GetBY(float* v){return TrkParams::GetBY(v);};///< By (kGauss)
345        float GetBZ(float* v){return TrkParams::GetBZ(v);};///< Bz (kGauss)
346      Float_t GetZTrk(Int_t);      Float_t GetZTrk(Int_t);
347      Float_t GetXTrkLeft(){return XTRKL;};      Float_t GetXTrkLeft(){return XTRKL;};
348      Float_t GetXTrkRight(){return XTRKR;};      Float_t GetXTrkRight(){return XTRKR;};
349      Float_t GetYTrkLeft(){return YTRKL;};      Float_t GetYTrkLeft(){return YTRKL;};
350      Float_t GetYTrkRight(){return YTRKR;};      Float_t GetYTrkRight(){return YTRKR;};
351            
352        Bool_t IsMaskedVK(int,int);
353        Bool_t GetVKMask(int,int);
354        Bool_t GetVKFlag(int,int);
355    
356      TrkSinglet   *GetSingletX(int);      TrkSinglet   *GetSingletX(int);
357      TrkSinglet   *GetSingletY(int);      TrkSinglet   *GetSingletY(int);
358            
359      TrkTrack     *GetStoredTrack(int i);      TrkTrack     *GetStoredTrack(int i);
360      Int_t         GetSeqNo(Int_t i)  {return (((TrkTrack *)Track->At(i))->seqno);}; ///< Returns track sequential number      Int_t         GetSeqNo(Int_t i)  {return (((TrkTrack *)Track->At(i))->seqno);}; ///< Returns track sequential number
361  //    TClonesArray *GetTracks_Chi2Sorted();  
 //    TClonesArray *GetTracks_NFitSorted();  
 //    TClonesArray *GetTracks();  
362      TRefArray *GetTracks_NFitSorted();      TRefArray *GetTracks_NFitSorted();
363      TRefArray *GetTracks(){return this->GetTracks_NFitSorted();};      TRefArray *GetTracks(){return this->GetTracks_NFitSorted();};
364            
 //    int       GetNTracks(){return this->GetTracks()->GetEntries();}  
365      Int_t     GetNTracks();      Int_t     GetNTracks();
366      TrkTrack* GetTrack(int i);      TrkTrack* GetTrack(int i);
367      TrkTrack* GetTrackImage(int i);      TrkTrack* GetTrackImage(int i);
# Line 252  class TrkLevel2 : public TObject { Line 369  class TrkLevel2 : public TObject {
369      TrkLevel2*    GetTrkLevel2(){return this;}      TrkLevel2*    GetTrkLevel2(){return this;}
370      TClonesArray* GetTrackArray(){return Track;};///< returns pointer to the track array      TClonesArray* GetTrackArray(){return Track;};///< returns pointer to the track array
371            
372      ClassDef(TrkLevel2,2);      void   StatusDump(int view);
373        Bool_t StatusCheck(int view, int flagmask);
374    
375        ClassDef(TrkLevel2,3);
376    
377  };  };
378    
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