/[PAMELA software]/DarthVader/TrackerLevel2/src/TrkLevel2.cpp
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Annotation of /DarthVader/TrackerLevel2/src/TrkLevel2.cpp

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Revision 1.44 - (hide annotations) (download)
Wed Mar 5 17:00:19 2008 UTC (16 years, 11 months ago) by pam-fi
Branch: MAIN
CVS Tags: v5r00
Changes since 1.43: +126 -24 lines
modified TrkSinglet, optimized DoTrack2, fixed bug in evaluation of effective angle

1 mocchiut 1.1 /**
2     * \file TrkLevel2.cpp
3     * \author Elena Vannuccini
4     */
5     #include <TrkLevel2.h>
6     #include <iostream>
7 pam-fi 1.14 #include <math.h>
8 mocchiut 1.1 using namespace std;
9     //......................................
10     // F77 routines
11     //......................................
12     extern "C" {
13     void dotrack_(int*, double*, double*, double*, double*, int*);
14 pam-fi 1.2 void dotrack2_(int*, double*, double*, double*, double*,double*, double*, double*,int*);
15 pam-fi 1.34 void mini2_(int*,int*,int*);
16     void guess_();
17     void gufld_(float*, float*);
18     float risxeta2_(float *);
19     float risxeta3_(float *);
20     float risxeta4_(float *);
21     float risyeta2_(float *);
22 mocchiut 1.1 }
23 pam-fi 1.26
24 mocchiut 1.1 //--------------------------------------
25     //
26     //
27     //--------------------------------------
28     TrkTrack::TrkTrack(){
29 pam-fi 1.21 // cout << "TrkTrack::TrkTrack()" << endl;
30 pam-fi 1.3 seqno = -1;
31     image = -1;
32 mocchiut 1.1 chi2 = 0;
33 pam-fi 1.14 nstep = 0;
34     for(int it1=0;it1<5;it1++){
35     al[it1] = 0;
36     for(int it2=0;it2<5;it2++)coval[it1][it2] = 0;
37 mocchiut 1.1 };
38     for(int ip=0;ip<6;ip++){
39 pam-fi 1.21 xgood[ip] = 0;
40     ygood[ip] = 0;
41     xm[ip] = 0;
42     ym[ip] = 0;
43     zm[ip] = 0;
44     resx[ip] = 0;
45     resy[ip] = 0;
46 pam-fi 1.32 tailx[ip] = 0;
47     taily[ip] = 0;
48 pam-fi 1.21 xv[ip] = 0;
49     yv[ip] = 0;
50     zv[ip] = 0;
51     axv[ip] = 0;
52     ayv[ip] = 0;
53     dedx_x[ip] = 0;
54     dedx_y[ip] = 0;
55 pam-fi 1.40 multmaxx[ip] = 0;
56     multmaxy[ip] = 0;
57     seedx[ip] = 0;
58     seedy[ip] = 0;
59     xpu[ip] = 0;
60     ypu[ip] = 0;
61    
62 pam-fi 1.21 };
63 pam-fi 1.44
64 pam-fi 1.41 // TrkParams::SetTrackingMode();
65     // TrkParams::SetPrecisionFactor();
66     // TrkParams::SetStepMin();
67     TrkParams::SetMiniDefault();
68 pam-fi 1.33 TrkParams::SetPFA();
69    
70 pam-fi 1.44 int ngf = TrkParams::nGF;
71     for(int i=0; i<ngf; i++){
72     xGF[i] = 0.;
73     yGF[i] = 0.;
74     }
75    
76    
77 mocchiut 1.1 };
78     //--------------------------------------
79     //
80     //
81     //--------------------------------------
82     TrkTrack::TrkTrack(const TrkTrack& t){
83 pam-fi 1.3 seqno = t.seqno;
84 mocchiut 1.1 image = t.image;
85     chi2 = t.chi2;
86 pam-fi 1.14 nstep = t.nstep;
87     for(int it1=0;it1<5;it1++){
88     al[it1] = t.al[it1];
89     for(int it2=0;it2<5;it2++)coval[it1][it2] = t.coval[it1][it2];
90 mocchiut 1.1 };
91     for(int ip=0;ip<6;ip++){
92 pam-fi 1.21 xgood[ip] = t.xgood[ip];
93     ygood[ip] = t.ygood[ip];
94     xm[ip] = t.xm[ip];
95     ym[ip] = t.ym[ip];
96     zm[ip] = t.zm[ip];
97     resx[ip] = t.resx[ip];
98     resy[ip] = t.resy[ip];
99 pam-fi 1.32 tailx[ip] = t.tailx[ip];
100     taily[ip] = t.taily[ip];
101 pam-fi 1.21 xv[ip] = t.xv[ip];
102     yv[ip] = t.yv[ip];
103     zv[ip] = t.zv[ip];
104     axv[ip] = t.axv[ip];
105     ayv[ip] = t.ayv[ip];
106     dedx_x[ip] = t.dedx_x[ip];
107     dedx_y[ip] = t.dedx_y[ip];
108 pam-fi 1.40 multmaxx[ip] = t.multmaxx[ip];
109     multmaxy[ip] = t.multmaxy[ip];
110     seedx[ip] = t.seedx[ip];
111     seedy[ip] = t.seedy[ip];
112     xpu[ip] = t.xpu[ip];
113     ypu[ip] = t.ypu[ip];
114 pam-fi 1.21 };
115 pam-fi 1.32
116 pam-fi 1.41 // TrkParams::SetTrackingMode();
117     // TrkParams::SetPrecisionFactor();
118     // TrkParams::SetStepMin();
119     TrkParams::SetMiniDefault();
120 pam-fi 1.33 TrkParams::SetPFA();
121    
122 pam-fi 1.44 int ngf = TrkParams::nGF;
123     for(int i=0; i<ngf; i++){
124     xGF[i] = t.xGF[i];
125     yGF[i] = t.yGF[i];
126     }
127 mocchiut 1.1 };
128     //--------------------------------------
129     //
130     //
131     //--------------------------------------
132 pam-fi 1.21 void TrkTrack::Copy(TrkTrack& t){
133    
134     t.seqno = seqno;
135     t.image = image;
136     t.chi2 = chi2;
137     t.nstep = nstep;
138     for(int it1=0;it1<5;it1++){
139     t.al[it1] = al[it1];
140     for(int it2=0;it2<5;it2++)t.coval[it1][it2] = coval[it1][it2];
141     };
142     for(int ip=0;ip<6;ip++){
143     t.xgood[ip] = xgood[ip];
144     t.ygood[ip] = ygood[ip];
145     t.xm[ip] = xm[ip];
146     t.ym[ip] = ym[ip];
147     t.zm[ip] = zm[ip];
148     t.resx[ip] = resx[ip];
149     t.resy[ip] = resy[ip];
150 pam-fi 1.32 t.tailx[ip] = tailx[ip];
151     t.taily[ip] = taily[ip];
152 pam-fi 1.21 t.xv[ip] = xv[ip];
153     t.yv[ip] = yv[ip];
154     t.zv[ip] = zv[ip];
155     t.axv[ip] = axv[ip];
156     t.ayv[ip] = ayv[ip];
157     t.dedx_x[ip] = dedx_x[ip];
158     t.dedx_y[ip] = dedx_y[ip];
159 pam-fi 1.40 t.multmaxx[ip] = multmaxx[ip];
160     t.multmaxy[ip] = multmaxy[ip];
161     t.seedx[ip] = seedx[ip];
162     t.seedy[ip] = seedy[ip];
163     t.xpu[ip] = xpu[ip];
164     t.ypu[ip] = ypu[ip];
165 pam-fi 1.21
166     };
167 pam-fi 1.44 int ngf = TrkParams::nGF;
168     for(int i=0; i<ngf; i++){
169     t.xGF[i] = xGF[i];
170     t.yGF[i] = yGF[i];
171     }
172 pam-fi 1.32
173 pam-fi 1.21
174     };
175     //--------------------------------------
176     //
177     //
178     //--------------------------------------
179 mocchiut 1.1 /**
180     * Evaluates the trajectory in the apparatus associated to the track.
181     * It integrates the equations of motion in the magnetic field. The magnetic field should be previously loaded ( by calling TrkLevel2::LoadField() ), otherwise an error message is returned.
182     * @param t pointer to an object of the class Trajectory,
183     * which z coordinates should be previously initialized by calling the proper constructor ( Trajectory::Trajectory(int n, float* zin) ).
184     * @return error flag.
185 pam-fi 1.44 *
186     * >>> OBSOLETE !!! use TrkTrack::DoTrack2(Trajectory* t) instead
187     *
188 mocchiut 1.1 */
189     int TrkTrack::DoTrack(Trajectory* t){
190    
191 pam-fi 1.44 cout << " int TrkTrack::DoTrack(Trajectory* t) --->> OBSOLETE !!! "<<endl;
192     cout << " use int TrkTrack::DoTrack2(Trajectory* t)"<<endl;
193    
194 mocchiut 1.1 double *dxout = new double[t->npoint];
195     double *dyout = new double[t->npoint];
196     double *dzin = new double[t->npoint];
197     double dal[5];
198    
199     int ifail = 0;
200    
201     for (int i=0; i<5; i++) dal[i] = (double)al[i];
202     for (int i=0; i<t->npoint; i++) dzin[i] = (double)t->z[i];
203    
204 pam-fi 1.26 TrkParams::Load(1);
205     if( !TrkParams::IsLoaded(1) ){
206     cout << "int TrkTrack::DoTrack(Trajectory* t) --- ERROR --- m.field not loaded"<<endl;
207     return 0;
208     }
209 mocchiut 1.1 dotrack_(&(t->npoint),dzin,dxout,dyout,dal,&ifail);
210    
211     for (int i=0; i<t->npoint; i++){
212     t->x[i] = (float)*dxout++;
213     t->y[i] = (float)*dyout++;
214     }
215    
216     // delete [] dxout;
217     // delete [] dyout;
218     // delete [] dzin;
219    
220     return ifail;
221     };
222     //--------------------------------------
223     //
224     //
225     //--------------------------------------
226 pam-fi 1.2 /**
227     * Evaluates the trajectory in the apparatus associated to the track.
228     * It integrates the equations of motion in the magnetic field. The magnetic field should be previously loaded ( by calling TrkLevel2::LoadField() ), otherwise an error message is returned.
229     * @param t pointer to an object of the class Trajectory,
230     * which z coordinates should be previously initialized by calling the proper constructor ( Trajectory::Trajectory(int n, float* zin) ).
231     * @return error flag.
232     */
233     int TrkTrack::DoTrack2(Trajectory* t){
234    
235     double *dxout = new double[t->npoint];
236     double *dyout = new double[t->npoint];
237     double *dthxout = new double[t->npoint];
238     double *dthyout = new double[t->npoint];
239     double *dtlout = new double[t->npoint];
240     double *dzin = new double[t->npoint];
241     double dal[5];
242    
243     int ifail = 0;
244    
245     for (int i=0; i<5; i++) dal[i] = (double)al[i];
246     for (int i=0; i<t->npoint; i++) dzin[i] = (double)t->z[i];
247    
248 pam-fi 1.26 TrkParams::Load(1);
249     if( !TrkParams::IsLoaded(1) ){
250     cout << "int TrkTrack::DoTrack2(Trajectory* t) --- ERROR --- m.field not loaded"<<endl;
251     return 0;
252     }
253 pam-fi 1.2 dotrack2_(&(t->npoint),dzin,dxout,dyout,dthxout,dthyout,dtlout,dal,&ifail);
254    
255     for (int i=0; i<t->npoint; i++){
256     t->x[i] = (float)*dxout++;
257     t->y[i] = (float)*dyout++;
258     t->thx[i] = (float)*dthxout++;
259     t->thy[i] = (float)*dthyout++;
260     t->tl[i] = (float)*dtlout++;
261     }
262    
263     // delete [] dxout;
264     // delete [] dyout;
265     // delete [] dzin;
266    
267     return ifail;
268     };
269     //--------------------------------------
270     //
271     //
272     //--------------------------------------
273 mocchiut 1.1 //float TrkTrack::BdL(){
274     //};
275     //--------------------------------------
276     //
277     //
278     //--------------------------------------
279     Float_t TrkTrack::GetRigidity(){
280     Float_t rig=0;
281     if(chi2>0)rig=1./al[4];
282     if(rig<0) rig=-rig;
283     return rig;
284     };
285     //
286     Float_t TrkTrack::GetDeflection(){
287     Float_t def=0;
288     if(chi2>0)def=al[4];
289     return def;
290     };
291     //
292 pam-fi 1.32 /**
293     * Method to retrieve the dE/dx measured on a tracker view.
294     * @param ip plane (0-5)
295     * @param iv view (0=x 1=y)
296     */
297     Float_t TrkTrack::GetDEDX(int ip, int iv){
298     if(iv==0 && ip>=0 && ip<6)return fabs(dedx_x[ip]);
299     else if(iv==1 && ip>=0 && ip<6)return fabs(dedx_y[ip]);
300     else {
301     cout << "TrkTrack::GetDEDX(int ip, int iv) -- wrong input parameters "<<ip<<iv<<endl;
302     return 0.;
303     }
304     }
305     /**
306     * Method to evaluate the dE/dx measured on a tracker plane.
307     * The two measurements on x- and y-view are averaged.
308     * @param ip plane (0-5)
309     */
310     Float_t TrkTrack::GetDEDX(int ip){
311     if( (Int_t)XGood(ip)+(Int_t)YGood(ip) == 0 ) return 0;
312     return (GetDEDX(ip,0)+GetDEDX(ip,1))/((Int_t)XGood(ip)+(Int_t)YGood(ip));
313     };
314    
315     /**
316     * Method to evaluate the dE/dx averaged over all planes.
317     */
318 mocchiut 1.1 Float_t TrkTrack::GetDEDX(){
319 pam-fi 1.32 Float_t dedx=0;
320     for(Int_t ip=0; ip<6; ip++)dedx+=GetDEDX(ip,0)*XGood(ip)+GetDEDX(ip,1)*YGood(ip);
321     dedx = dedx/(GetNX()+GetNY());
322     return dedx;
323     };
324     /**
325 pam-fi 1.44 * Returns 1 if the cluster on a tracker view includes bad strips
326     * (at least one bad strip among the four strip used by p.f.a.)
327 pam-fi 1.32 * @param ip plane (0-5)
328     * @param iv view (0=x 1=y)
329     */
330     Bool_t TrkTrack::IsBad(int ip,int iv){
331     if(iv==0 && ip>=0 && ip<6)return (xgood[ip]<0) ;
332     else if(iv==1 && ip>=0 && ip<6)return (ygood[ip]<0) ;
333     else {
334     cout << "TrkTrack::IsBad(int ip, int iv) -- wrong input parameters "<<ip<<iv<<endl;
335     return 0.;
336     }
337 mocchiut 1.1 };
338 pam-fi 1.32 /**
339     * Returns 1 if the signal on a tracker view is saturated.
340     * @param ip plane (0-5)
341     * @param iv view (0=x 1=y)
342     */
343     Bool_t TrkTrack::IsSaturated(int ip,int iv){
344     if(iv==0 && ip>=0 && ip<6)return (dedx_x[ip]<0) ;
345     else if(iv==1 && ip>=0 && ip<6)return (dedx_y[ip]<0) ;
346     else {
347     cout << "TrkTrack::IsSaturated(int ip, int iv) -- wrong input parameters "<<ip<<iv<<endl;
348     return 0.;
349     }
350     };
351     /**
352     * Returns 1 if either the x or the y signal on a tracker plane is saturated.
353     * @param ip plane (0-5)
354     */
355     Bool_t TrkTrack::IsSaturated(int ip){
356     return (IsSaturated(ip,0)||IsSaturated(ip,1));
357     };
358     /**
359     * Returns 1 if there is at least a saturated signal along the track.
360     */
361     Bool_t TrkTrack::IsSaturated(){
362     for(int ip=0; ip<6; ip++)for(int iv=0; iv<2; iv++)if(IsSaturated(ip,iv))return true;
363     return false;
364     }
365     /**
366     * Returns the track "lever-arm" on the x view, defined as the distance (in planes) between
367     * the upper and lower x measurements (the maximum value of lever-arm is 6).
368     */
369     Int_t TrkTrack::GetLeverArmX(){
370     int first_plane = -1;
371     int last_plane = -1;
372     for(Int_t ip=0; ip<6; ip++){
373     if( XGood(ip) && first_plane == -1 )first_plane = ip;
374     if( XGood(ip) && first_plane != -1 )last_plane = ip;
375     }
376     if( first_plane == -1 || last_plane == -1){
377     cout<< "Int_t TrkTrack::GetLeverArmX() -- XGood(ip) always false ??? "<<endl;
378     return 0;
379     }
380     return (last_plane-first_plane+1);
381     }
382     /**
383     * Returns the track "lever-arm" on the y view, defined as the distance (in planes) between
384     * the upper and lower y measurements (the maximum value of lever-arm is 6).
385     */
386     Int_t TrkTrack::GetLeverArmY(){
387     int first_plane = -1;
388     int last_plane = -1;
389     for(Int_t ip=0; ip<6; ip++){
390     if( YGood(ip) && first_plane == -1 )first_plane = ip;
391     if( YGood(ip) && first_plane != -1 )last_plane = ip;
392     }
393     if( first_plane == -1 || last_plane == -1){
394     cout<< "Int_t TrkTrack::GetLeverArmY() -- YGood(ip) always false ??? "<<endl;
395     return 0;
396     }
397     return (last_plane-first_plane+1);
398     }
399 pam-fi 1.37 /**
400     * Returns the reduced chi-square of track x-projection
401     */
402     Float_t TrkTrack::GetChi2X(){
403     float chiq=0;
404     for(int ip=0; ip<6; ip++)if(XGood(ip))chiq+= pow((xv[ip]-xm[ip])/resx[ip],2.);
405     if(GetNX()>3)chiq=chiq/(GetNX()-3);
406     else chiq=0;
407     if(chiq==0)cout << " Float_t TrkTrack::GetChi2X() -- WARNING -- value not defined "<<chiq<<endl;
408     return chiq;
409     }
410     /**
411     * Returns the reduced chi-square of track y-projection
412     */
413     Float_t TrkTrack::GetChi2Y(){
414     float chiq=0;
415     for(int ip=0; ip<6; ip++)if(YGood(ip))chiq+= pow((yv[ip]-ym[ip])/resy[ip],2.);
416     if(GetNY()>2)chiq=chiq/(GetNY()-2);
417     else chiq=0;
418     if(chiq==0)cout << " Float_t TrkTrack::GetChi2Y() -- WARNING -- value not defined "<<chiq<<endl;
419     return chiq;
420     }
421     /**
422     * Returns the logarythm of the likeliwood-function of track x-projection
423     */
424     Float_t TrkTrack::GetLnLX(){
425     float lnl=0;
426     for(int ip=0; ip<6; ip++)
427     if( XGood(ip) && tailx[ip]!=0 )
428     lnl += (tailx[ip]+1.) * log( (tailx[ip]*pow(resx[ip],2.) + pow(xv[ip]-xm[ip],2.)) / (tailx[ip]*pow(resx[ip],2)) );
429     if(GetNX()>3)lnl=lnl/(GetNX()-3);
430     else lnl=0;
431 pam-fi 1.38 if(lnl==0){
432     cout << " Float_t TrkTrack::GetLnLX() -- WARNING -- value not defined "<<lnl<<endl;
433     Dump();
434     }
435 pam-fi 1.37 return lnl;
436    
437     }
438     /**
439     * Returns the logarythm of the likeliwood-function of track y-projection
440     */
441     Float_t TrkTrack::GetLnLY(){
442     float lnl=0;
443     for(int ip=0; ip<6; ip++)
444     if( YGood(ip) && taily[ip]!=0 )
445     lnl += (taily[ip]+1.) * log( (taily[ip]*pow(resy[ip],2.) + pow(yv[ip]-ym[ip],2.)) / (taily[ip]*pow(resy[ip],2)) );
446     if(GetNY()>2)lnl=lnl/(GetNY()-2);
447     else lnl=0;
448 pam-fi 1.38 if(lnl==0){
449     cout << " Float_t TrkTrack::GetLnLY() -- WARNING -- value not defined "<<lnl<<endl;
450     Dump();
451     }
452 pam-fi 1.37 return lnl;
453    
454     }
455 pam-fi 1.39 /**
456     * Returns the effective angle, relative to the sensor, on each plane.
457     * @param ip plane (0-5)
458     * @param iv view (0=x 1=y)
459     */
460     Float_t TrkTrack::GetEffectiveAngle(int ip, int iv){
461    
462     if(ip<0 || ip>5){
463     cout << "Float_t TrkTrack::GetEffectiveAngle(int "<<ip<<", int "<<iv<<") ==> wrong input"<<endl;
464     return 0.;
465     }
466    
467     float v[3]={xv[ip],yv[ip],zv[ip]};
468     //-----------------------------------------
469     // effective angle (relative to the sensor)
470     //-----------------------------------------
471     float axv_geo = axv[ip];
472     float muhall_h = 297.61; //cm**2/Vs
473     float BY = TrkParams::GetBY(v);
474     float axv_eff = 0;
475     if(ip==5) axv_geo = -1*axv_geo;
476     if(ip==5) BY = -1*BY;
477     axv_eff = 180.*atan( tan(axv_geo*acos(-1.)/180.) + muhall_h * BY * 0.0001)/acos(-1.);
478     //-----------------------------------------
479     // effective angle (relative to the sensor)
480     //-----------------------------------------
481     float ayv_geo = ayv[ip];
482     float muhall_e = 1258.18; //cm**2/Vs
483     float BX = TrkParams::GetBX(v);
484     float ayv_eff = 0;
485     ayv_eff = 180.*atan( tan(ayv_geo*acos(-1.)/180.) + muhall_e * BX * 0.0001)/acos(-1.);
486    
487     if (iv==0)return axv_eff;
488     else if(iv==1)return ayv_eff;
489     else{
490     cout << "Float_t TrkTrack::GetEffectiveAngle(int "<<ip<<", int "<<iv<<") ==> wrong input"<<endl;
491     return 0.;
492     }
493    
494     };
495    
496 mocchiut 1.1 //--------------------------------------
497     //
498     //
499     //--------------------------------------
500     void TrkTrack::Dump(){
501     cout << endl << "========== Track " ;
502 pam-fi 1.13 cout << endl << "seq. n. : "<< seqno;
503     cout << endl << "image n. : "<< image;
504     cout << endl << "al : "; for(int i=0; i<5; i++)cout << al[i] << " ";
505 mocchiut 1.1 cout << endl << "chi^2 : "<< chi2;
506 pam-fi 1.13 cout << endl << "n.step : "<< nstep;
507 pam-fi 1.30 cout << endl << "xgood : "; for(int i=0; i<6; i++)cout << XGood(i) ;
508     cout << endl << "ygood : "; for(int i=0; i<6; i++)cout << YGood(i) ;
509 mocchiut 1.1 cout << endl << "xm : "; for(int i=0; i<6; i++)cout << xm[i] << " ";
510     cout << endl << "ym : "; for(int i=0; i<6; i++)cout << ym[i] << " ";
511     cout << endl << "zm : "; for(int i=0; i<6; i++)cout << zm[i] << " ";
512 pam-fi 1.13 cout << endl << "xv : "; for(int i=0; i<6; i++)cout << xv[i] << " ";
513     cout << endl << "yv : "; for(int i=0; i<6; i++)cout << yv[i] << " ";
514     cout << endl << "zv : "; for(int i=0; i<6; i++)cout << zv[i] << " ";
515     cout << endl << "resx : "; for(int i=0; i<6; i++)cout << resx[i] << " ";
516     cout << endl << "resy : "; for(int i=0; i<6; i++)cout << resy[i] << " ";
517 pam-fi 1.34 cout << endl << "tailx : "; for(int i=0; i<6; i++)cout << tailx[i] << " ";
518     cout << endl << "taily : "; for(int i=0; i<6; i++)cout << taily[i] << " ";
519 pam-fi 1.13 cout << endl << "coval : "; for(int i=0; i<5; i++)cout << coval[0][i]<<" ";
520     cout << endl << " "; for(int i=0; i<5; i++)cout << coval[1][i]<<" ";
521     cout << endl << " "; for(int i=0; i<5; i++)cout << coval[2][i]<<" ";
522     cout << endl << " "; for(int i=0; i<5; i++)cout << coval[3][i]<<" ";
523     cout << endl << " "; for(int i=0; i<5; i++)cout << coval[4][i]<<" ";
524 mocchiut 1.1 cout << endl << "dedx_x : "; for(int i=0; i<6; i++)cout << dedx_x[i] << " ";
525     cout << endl << "dedx_y : "; for(int i=0; i<6; i++)cout << dedx_y[i] << " ";
526 pam-fi 1.40 cout << endl << "maxs x : "; for(int i=0; i<6; i++)cout << GetClusterX_MaxStrip(i) << " ";
527     cout << endl << "maxs y : "; for(int i=0; i<6; i++)cout << GetClusterY_MaxStrip(i) << " ";
528     cout << endl << "mult x : "; for(int i=0; i<6; i++)cout << GetClusterX_Multiplicity(i) << " ";
529     cout << endl << "mult y : "; for(int i=0; i<6; i++)cout << GetClusterY_Multiplicity(i) << " ";
530     cout << endl << "seed x : "; for(int i=0; i<6; i++)cout << GetClusterX_Seed(i) << " ";
531     cout << endl << "seed y : "; for(int i=0; i<6; i++)cout << GetClusterY_Seed(i) << " ";
532     cout << endl << "xpu : "; for(int i=0; i<6; i++)cout << xpu[i] << " ";
533     cout << endl << "ypu : "; for(int i=0; i<6; i++)cout << ypu[i] << " ";
534    
535 pam-fi 1.14 cout << endl;
536 mocchiut 1.1 }
537 pam-fi 1.13 /**
538     * Set the TrkTrack position measurements
539     */
540     void TrkTrack::SetMeasure(double *xmeas, double *ymeas, double *zmeas){
541     for(int i=0; i<6; i++) xm[i]=*xmeas++;
542     for(int i=0; i<6; i++) ym[i]=*ymeas++;
543     for(int i=0; i<6; i++) zm[i]=*zmeas++;
544     }
545     /**
546     * Set the TrkTrack position resolution
547     */
548     void TrkTrack::SetResolution(double *rx, double *ry){
549     for(int i=0; i<6; i++) resx[i]=*rx++;
550     for(int i=0; i<6; i++) resy[i]=*ry++;
551     }
552     /**
553 pam-fi 1.34 * Set the TrkTrack tails position resolution
554     */
555     void TrkTrack::SetTail(double *tx, double *ty, double factor){
556     for(int i=0; i<6; i++) tailx[i]=factor*(*tx++);
557     for(int i=0; i<6; i++) taily[i]=factor*(*ty++);
558     }
559     /**
560     * Set the TrkTrack Student parameter (resx,resy,tailx,taily)
561     * from previous gausian fit
562     *@param flag =0 standard, =1 with noise correction
563     */
564     void TrkTrack::SetStudentParam(int flag){
565     float sx[11]={0.000128242,
566     0.000136942,
567     0.000162718,
568     0.000202644,
569     0.00025597,
570     0.000317456,
571     0.000349048,
572     0.000384638,
573     0.000457295,
574     0.000512319,
575     0.000538573};
576     float tx[11]={1.79402,
577     2.04876,
578     2.88376,
579     3.3,
580     3.14084,
581     4.07686,
582     4.44736,
583     3.5179,
584     3.38697,
585     3.45739,
586     3.18627};
587     float sy[11]={0.000483075,
588     0.000466925,
589     0.000431658,
590     0.000428317,
591     0.000433854,
592     0.000444044,
593     0.000482098,
594     0.000537579,
595     0.000636279,
596     0.000741998,
597     0.000864261};
598     float ty[11]={0.997032,
599     1.11147,
600     1.18526,
601     1.61404,
602     2.21908,
603     3.08959,
604     4.48833,
605     4.42687,
606     4.65253,
607     4.52043,
608     4.29926};
609     int index;
610     float fact;
611     for(int i=0; i<6; i++) {
612     index = int((fabs(axv[i])+1.)/2.);
613     if(index>10) index=10;
614     tailx[i]=tx[index];
615     if(flag==1) {
616     if(fabs(axv[i])<=10.) fact = resx[i]/risxeta2_(&(axv[i]));
617     if(fabs(axv[i])>10.&&fabs(axv[i])<=15.) fact = resx[i]/risxeta3_(&(axv[i]));
618     if(fabs(axv[i])>15.) fact = resx[i]/risxeta4_(&(axv[i]));
619     } else fact = 1.;
620     resx[i] = sx[index]*fact;
621     }
622     for(int i=0; i<6; i++) {
623     index = int((fabs(ayv[i])+1.)/2.);
624     if(index>10) index=10;
625     taily[i]=ty[index];
626     if(flag==1) fact = resy[i]/risyeta2_(&(ayv[i]));
627     else fact = 1.;
628     resy[i] = sy[index]*fact;
629     }
630     }
631     /**
632     * Set the TrkTrack good measurement
633 pam-fi 1.13 */
634     void TrkTrack::SetGood(int *xg, int *yg){
635 pam-fi 1.33
636 pam-fi 1.13 for(int i=0; i<6; i++) xgood[i]=*xg++;
637     for(int i=0; i<6; i++) ygood[i]=*yg++;
638     }
639    
640     /**
641     * Load the magnetic field
642     */
643 pam-fi 1.16 void TrkTrack::LoadField(TString path){
644    
645 pam-fi 1.26 // strcpy(path_.path,path.Data());
646     // path_.pathlen = path.Length();
647     // path_.error = 0;
648     // readb_();
649    
650 pam-fi 1.41 // TrkParams::SetTrackingMode();
651     // TrkParams::SetPrecisionFactor();
652     // TrkParams::SetStepMin();
653     TrkParams::SetMiniDefault();
654 pam-fi 1.33
655 pam-fi 1.26 TrkParams::Set(path,1);
656 pam-fi 1.28 TrkParams::Load(1);
657 pam-fi 1.16
658 pam-fi 1.13 };
659 pam-fi 1.19
660 pam-fi 1.25
661 pam-fi 1.19 /**
662     * Method to fill minimization-routine common
663     */
664     void TrkTrack::FillMiniStruct(cMini2track& track){
665    
666     for(int i=0; i<6; i++){
667    
668 pam-fi 1.33 // cout << i<<" - "<<xgood[i]<<" "<<XGood(i)<<endl;
669     // cout << i<<" - "<<ygood[i]<<" "<<YGood(i)<<endl;
670 pam-fi 1.30 track.xgood[i]=XGood(i);
671     track.ygood[i]=YGood(i);
672 pam-fi 1.19
673     track.xm[i]=xm[i];
674     track.ym[i]=ym[i];
675     track.zm[i]=zm[i];
676    
677     // --- temporaneo ----------------------------
678     // andrebbe inserita la dimensione del sensore
679     float segment = 100.;
680     track.xm_a[i]=xm[i];
681     track.xm_b[i]=xm[i];
682     track.ym_a[i]=ym[i];
683     track.ym_b[i]=ym[i];
684 pam-fi 1.30 if( XGood(i) && !YGood(i) ){
685 pam-fi 1.19 track.ym_a[i] = track.ym_a[i]+segment;
686     track.ym_b[i] = track.ym_b[i]-segment;
687 pam-fi 1.30 }else if( !XGood(i) && YGood(i)){
688 pam-fi 1.19 track.xm_a[i] = track.xm_a[i]+segment;
689     track.xm_b[i] = track.xm_b[i]-segment;
690     }
691     // --- temporaneo ----------------------------
692    
693     track.resx[i]=resx[i];
694     track.resy[i]=resy[i];
695 pam-fi 1.34 track.tailx[i]=tailx[i];
696     track.taily[i]=taily[i];
697 pam-fi 1.19 }
698    
699     for(int i=0; i<5; i++) track.al[i]=al[i];
700     track.zini = 23.5;
701     // ZINI = 23.5 !!! it should be the same parameter in all codes
702    
703     }
704     /**
705     * Method to set values from minimization-routine common
706     */
707     void TrkTrack::SetFromMiniStruct(cMini2track *track){
708    
709     for(int i=0; i<5; i++) {
710     al[i]=track->al[i];
711     for(int j=0; j<5; j++) coval[i][j]=track->cov[i][j];
712     }
713     chi2 = track->chi2;
714     nstep = track->nstep;
715     for(int i=0; i<6; i++){
716     xv[i] = track->xv[i];
717     yv[i] = track->yv[i];
718     zv[i] = track->zv[i];
719     xm[i] = track->xm[i];
720     ym[i] = track->ym[i];
721     zm[i] = track->zm[i];
722     axv[i] = track->axv[i];
723     ayv[i] = track->ayv[i];
724     }
725    
726     }
727 pam-fi 1.13 /**
728 pam-fi 1.33 * \brief Method to re-evaluate coordinates of clusters associated with a track.
729     *
730     * The method can be applied only after recovering level1 information
731     * (either by reprocessing single events from level0 or from
732     * the TrkLevel1 branch, if present); it calls F77 subroutines that
733     * read the level1 common and fill the minimization-routine common.
734     * Some clusters can be excluded or added by means of the methods:
735     *
736     * TrkTrack::ResetXGood(int ip)
737     * TrkTrack::ResetYGood(int ip)
738     * TrkTrack::SetXGood(int ip, int cid, int is)
739     * TrkTrack::SetYGood(int ip, int cid, int is)
740     *
741     * NB! The method TrkTrack::SetGood(int *xg, int *yg) set the plane-mask (0-1)
742     * for the minimization-routine common. It deletes the cluster information
743     * (at least for the moment...) thus cannot be applied before
744     * TrkTrack::EvaluateClusterPositions().
745     *
746     * Different p.f.a. can be applied by calling (once) the method:
747     *
748     * TrkParams::SetPFA(0); //Set ETA p.f.a.
749     *
750     * @see TrkParams::SetPFA(int)
751     */
752 pam-fi 1.36 Bool_t TrkTrack::EvaluateClusterPositions(){
753 pam-fi 1.33
754 pam-fi 1.42 // cout << "void TrkTrack::GetClusterositions() "<<endl;
755 pam-fi 1.33
756     TrkParams::Load( );
757 pam-fi 1.36 if( !TrkParams::IsLoaded() )return false;
758 pam-fi 1.33
759     for(int ip=0; ip<6; ip++){
760     // cout << ip<<" ** "<<xm[ip]<<" / "<<ym[ip]<<endl;;
761     int icx = GetClusterX_ID(ip)+1;
762     int icy = GetClusterY_ID(ip)+1;
763     int sensor = GetSensor(ip)+1;//<< convenzione "Paolo"
764     if(ip==5 && sensor!=0)sensor=3-sensor;//<< convenzione "Elena"
765     int ladder = GetLadder(ip)+1;
766     float ax = axv[ip];
767     float ay = ayv[ip];
768     float v[3];
769     v[0]=xv[ip];
770     v[1]=yv[ip];
771     v[2]=zv[ip];
772     float bfx = 10*TrkParams::GetBX(v);//Tesla
773     float bfy = 10*TrkParams::GetBY(v);//Tesla
774     int ipp=ip+1;
775     xyzpam_(&ipp,&icx,&icy,&ladder,&sensor,&ax,&ay,&bfx,&bfy);
776 pam-fi 1.36 if(icx<0 || icy<0)return false;
777 pam-fi 1.33 }
778 pam-fi 1.36 return true;
779 pam-fi 1.33 }
780     /**
781     * \brief Tracking method. It calls F77 mini routine.
782     *
783     * @param pfixed Particle momentum. If pfixed=0 the momentum
784     * is left as a free parameter, otherwise it is fixed to the input value.
785     * @param fail Output flag (!=0 if the fit failed).
786     * @param iprint Flag to set debug mode ( 0 = no output; 1 = verbose; 2 = debug).
787     * @param froml1 Flag to re-evaluate positions (see TrkTrack::GetClusterPositions()).
788     *
789     * The option to re-evaluate positions can be used only after recovering
790     * level1 information, eg. by reprocessing the single event.
791     *
792     * Example:
793     *
794     * if( !event->GetTrkLevel0() )return false;
795     * event->GetTrkLevel0()->ProcessEvent(); // re-processing level0->level1
796     * int fail=0;
797     * event->GetTrkLevel2()->GetTrack(0)->Fit(0.,fail,0,1);
798     *
799     * @see EvaluateClusterPositions()
800     *
801     * The fitting procedure can be varied by changing the tracking mode,
802 pam-fi 1.41 * the fit-precision factor, the minimum number of step, etc.
803 pam-fi 1.33 * @see SetTrackingMode(int)
804     * @see SetPrecisionFactor(double)
805     * @see SetStepMin(int)
806 pam-fi 1.41 * @see SetDeltaB(int,double)
807 pam-fi 1.13 */
808 pam-fi 1.33 void TrkTrack::Fit(double pfixed, int& fail, int iprint, int froml1){
809 pam-fi 1.15
810     float al_ini[] = {0.,0.,0.,0.,0.};
811    
812 pam-fi 1.33 TrkParams::Load( );
813     if( !TrkParams::IsLoaded() )return;
814    
815 pam-fi 1.13 extern cMini2track track_;
816     fail = 0;
817 pam-fi 1.36
818 pam-fi 1.19 FillMiniStruct(track_);
819 pam-fi 1.36
820     if(froml1!=0){
821     if( !EvaluateClusterPositions() ){
822     cout << "void TrkTrack::Fit("<<pfixed<<","<<fail<<","<<iprint<<","<<froml1<<") --- ERROR evaluating cluster positions "<<endl;
823     FillMiniStruct(track_) ;
824     fail = 1;
825     return;
826     }
827     }else{
828     FillMiniStruct(track_);
829     }
830 pam-fi 1.33
831 pam-fi 1.19 // if fit variables have been reset, evaluate the initial guess
832 pam-fi 1.15 if(al[0]==-9999.&&al[1]==-9999.&&al[2]==-9999.&&al[3]==-9999.&&al[4]==-9999.)guess_();
833    
834 pam-fi 1.16 // --------------------- free momentum
835 pam-fi 1.14 if(pfixed==0.) {
836 pam-fi 1.19 track_.pfixed=0.;
837 pam-fi 1.14 }
838 pam-fi 1.16 // --------------------- fixed momentum
839 pam-fi 1.13 if(pfixed!=0.) {
840 pam-fi 1.19 al[4]=1./pfixed;
841     track_.pfixed=pfixed;
842 pam-fi 1.13 }
843 pam-fi 1.15
844 pam-fi 1.19 // store temporarily the initial guess
845 pam-fi 1.15 for(int i=0; i<5; i++) al_ini[i]=track_.al[i];
846    
847 pam-fi 1.19 // ------------------------------------------
848     // call mini routine
849 pam-fi 1.33 // TrkParams::Load(1);
850     // if( !TrkParams::IsLoaded(1) ){
851     // cout << "void TrkTrack::Fit(double pfixed, int& fail, int iprint) --- ERROR --- m.field not loaded"<<endl;
852     // return;
853     // }
854 pam-fi 1.13 int istep=0;
855     int ifail=0;
856     mini2_(&istep,&ifail, &iprint);
857     if(ifail!=0) {
858 pam-fi 1.19 if(iprint)cout << "ERROR: ifail= " << ifail << endl;
859 pam-fi 1.13 fail = 1;
860     }
861 pam-fi 1.19 // ------------------------------------------
862 pam-fi 1.15
863 pam-fi 1.19 SetFromMiniStruct(&track_);
864 pam-fi 1.15
865 pam-fi 1.20 if(fail){
866 pam-fi 1.33 if(iprint)cout << " >>>> fit failed "<<endl;
867 pam-fi 1.20 for(int i=0; i<5; i++) al[i]=al_ini[i];
868     }
869 pam-fi 1.15
870 pam-fi 1.13 };
871 pam-fi 1.33 /**
872 pam-fi 1.15 * Reset the fit parameters
873 pam-fi 1.13 */
874     void TrkTrack::FitReset(){
875     for(int i=0; i<5; i++) al[i]=-9999.;
876     chi2=0.;
877     nstep=0;
878 pam-fi 1.33 // for(int i=0; i<6; i++) xv[i]=0.;
879     // for(int i=0; i<6; i++) yv[i]=0.;
880     // for(int i=0; i<6; i++) zv[i]=0.;
881     // for(int i=0; i<6; i++) axv[i]=0.;
882     // for(int i=0; i<6; i++) ayv[i]=0.;
883 pam-fi 1.13 for(int i=0; i<5; i++) {
884     for(int j=0; j<5; j++) coval[i][j]=0.;
885     }
886     }
887 pam-fi 1.33 /**
888 pam-fi 1.31 * Set the tracking mode
889     */
890 pam-fi 1.27 void TrkTrack::SetTrackingMode(int trackmode){
891     extern cMini2track track_;
892     track_.trackmode = trackmode;
893     }
894 pam-fi 1.33 /**
895 pam-fi 1.31 * Set the factor scale for tracking precision
896     */
897     void TrkTrack::SetPrecisionFactor(double fact){
898     extern cMini2track track_;
899     track_.fact = fact;
900     }
901 pam-fi 1.33 /**
902 pam-fi 1.34 * Set the minimum number of steps for tracking precision
903 pam-fi 1.31 */
904     void TrkTrack::SetStepMin(int istepmin){
905     extern cMini2track track_;
906     track_.istepmin = istepmin;
907     }
908 pam-fi 1.35 /**
909 pam-fi 1.41 * Set deltaB parameters (id=0,1). By default they are set to zero.
910     */
911     void TrkTrack::SetDeltaB(int id, double db){
912     if(id!=0 && id!=1)cout << "void TrkTrack::SetDeltaB(int id,double db) -- wrong input parameters: "<<id<<" "<<db<<endl;
913     TrkParams::SetDeltaB(id,db);
914     }
915    
916     /**
917 pam-fi 1.44 * Returns true if the track is inside the magnet cavity.
918     * @param toll Tolerance around the nominal volume (toll>0 define an inner fiducial volume)
919 pam-fi 1.35 */
920 pam-fi 1.44 Bool_t TrkTrack::IsInsideCavity(float toll){
921    
922     // float xmagntop, ymagntop, xmagnbottom, ymagnbottom;
923     // xmagntop = xv[0] + (ZMAGNHIGH-zv[0])*tan(acos(-1.0)*axv[0]/180.);
924     // ymagntop = yv[0] + (ZMAGNHIGH-zv[0])*tan(acos(-1.0)*ayv[0]/180.);
925     // xmagnbottom = xv[5] + (ZMAGNLOW-zv[5])*tan(acos(-1.0)*axv[5]/180.);
926     // ymagnbottom = yv[5] + (ZMAGNLOW-zv[5])*tan(acos(-1.0)*ayv[5]/180.);
927     // if( xmagntop>XMAGNLOW && xmagntop<XMAGNHIGH &&
928     // ymagntop>YMAGNLOW && ymagntop<YMAGNHIGH &&
929     // xmagnbottom>XMAGNLOW && xmagnbottom<XMAGNHIGH &&
930     // ymagnbottom>YMAGNLOW && ymagnbottom<YMAGNHIGH ) return(true);
931     // else return(false);
932    
933     int ngf = TrkParams::nGF;
934     for(int i=0; i<ngf; i++){
935     //
936     // cout << endl << TrkParams::GF_element[i];
937     if(
938     TrkParams::GF_element[i].CompareTo("CUF") &&
939     TrkParams::GF_element[i].CompareTo("T2") &&
940     TrkParams::GF_element[i].CompareTo("T3") &&
941     TrkParams::GF_element[i].CompareTo("T4") &&
942     TrkParams::GF_element[i].CompareTo("T5") &&
943     TrkParams::GF_element[i].CompareTo("CLF") &&
944     true)continue;
945     // apply condition only within the cavity
946     // cout << " -- "<<xGF[i]<<" "<<yGF[i];
947     if(
948     xGF[i] <= TrkParams::xGF_min[i] + toll ||
949     xGF[i] >= TrkParams::xGF_max[i] - toll ||
950     yGF[i] <= TrkParams::yGF_min[i] + toll ||
951     yGF[i] >= TrkParams::yGF_max[i] - toll ||
952     false){
953    
954     return false;
955     }
956     }
957     return true;
958    
959    
960     }
961     /**
962     * Returns true if the track is inside the nominal acceptance, which is defined
963     * by the intersection among magnet cavity, silicon-plane sensitive area and
964     * ToF sensitive area (nominal values from the official document used to
965     * calculate the geometrical factor)
966     */
967     Bool_t TrkTrack::IsInsideAcceptance(){
968    
969     int ngf = TrkParams::nGF;
970     for(int i=0; i<ngf; i++){
971     if(
972     xGF[i] <= TrkParams::xGF_min[i] ||
973     xGF[i] >= TrkParams::xGF_max[i] ||
974     yGF[i] <= TrkParams::yGF_min[i] ||
975     yGF[i] >= TrkParams::yGF_max[i] ||
976     false)return false;
977     }
978     return true;
979    
980 pam-fi 1.35 }
981 pam-fi 1.33 /**
982 pam-fi 1.32 * Method to retrieve ID (0,1,...) of x-cluster (if any) associated to this track.
983     * If no cluster is associated, ID=-1.
984 pam-fi 1.29 * @param ip Tracker plane (0-5)
985     */
986 pam-fi 1.32 Int_t TrkTrack::GetClusterX_ID(int ip){
987     return ((Int_t)fabs(xgood[ip]))%10000000-1;
988 pam-fi 1.29 };
989 pam-fi 1.33 /**
990 pam-fi 1.32 * Method to retrieve ID (0-xxx) of y-cluster (if any) associated to this track.
991     * If no cluster is associated, ID=-1.
992 pam-fi 1.29 * @param ip Tracker plane (0-5)
993     */
994 pam-fi 1.32 Int_t TrkTrack::GetClusterY_ID(int ip){
995     return ((Int_t)fabs(ygood[ip]))%10000000-1;
996     };
997 pam-fi 1.40
998 pam-fi 1.33 /**
999 pam-fi 1.32 * Method to retrieve the ladder (0-4, increasing x) traversed by the track on this plane.
1000     * If no ladder is traversed (dead area) the metod retuns -1.
1001     * @param ip Tracker plane (0-5)
1002     */
1003     Int_t TrkTrack::GetLadder(int ip){
1004     if(XGood(ip))return (Int_t)fabs(xgood[ip]/100000000)-1;
1005     if(YGood(ip))return (Int_t)fabs(ygood[ip]/100000000)-1;
1006     return -1;
1007     };
1008 pam-fi 1.33 /**
1009 pam-fi 1.32 * Method to retrieve the sensor (0-1, increasing y) traversed by the track on this plane.
1010     * If no sensor is traversed (dead area) the metod retuns -1.
1011     * @param ip Tracker plane (0-5)
1012     */
1013     Int_t TrkTrack::GetSensor(int ip){
1014     if(XGood(ip))return (Int_t)((Int_t)fabs(xgood[ip]/10000000)%10)-1;
1015     if(YGood(ip))return (Int_t)((Int_t)fabs(ygood[ip]/10000000)%10)-1;
1016     return -1;
1017 pam-fi 1.29 };
1018    
1019 pam-fi 1.33 /**
1020     * \brief Method to include a x-cluster to the track.
1021     * @param ip Tracker plane (0-5)
1022     * @param clid Cluster ID (0,1,...)
1023     * @param is Sensor (0-1, increasing y)
1024     * @see Fit(double pfixed, int& fail, int iprint, int froml1)
1025     */
1026     void TrkTrack::SetXGood(int ip, int clid, int is){
1027     int il=0; //ladder (temporary)
1028     bool bad=false; //ladder (temporary)
1029     xgood[ip]=il*100000000+is*10000000+clid;
1030     if(bad)xgood[ip]=-xgood[ip];
1031     };
1032     /**
1033     * \brief Method to include a y-cluster to the track.
1034     * @param ip Tracker plane (0-5)
1035     * @param clid Cluster ID (0,1,...)
1036     * @param is Sensor (0-1)
1037     * @see Fit(double pfixed, int& fail, int iprint, int froml1)
1038     */
1039     void TrkTrack::SetYGood(int ip, int clid, int is){
1040     int il=0; //ladder (temporary)
1041     bool bad=false; //ladder (temporary)
1042     ygood[ip]=il*100000000+is*10000000+clid;
1043     if(bad)ygood[ip]=-ygood[ip];
1044     };
1045 pam-fi 1.29
1046 pam-fi 1.43 /**
1047     * \brief Average X
1048     * Average value of <xv>, evaluated from the first to the last hit x view.
1049     */
1050     Float_t TrkTrack::GetXav(){
1051    
1052     int first_plane = -1;
1053     int last_plane = -1;
1054     for(Int_t ip=0; ip<6; ip++){
1055     if( XGood(ip) && first_plane == -1 )first_plane = ip;
1056     if( XGood(ip) && first_plane != -1 )last_plane = ip;
1057     }
1058     if( first_plane == -1 || last_plane == -1){
1059     return -100;
1060     }
1061     if( last_plane-first_plane+1 ==0 )return -100;
1062    
1063     Float_t av = 0;
1064     for(int ip=first_plane; ip<=last_plane; ip++)av+=xv[ip];
1065    
1066     return (av/(last_plane-first_plane+1));
1067     }
1068     /**
1069     * \brief Average Y
1070     * Average value of <yv>, evaluated from the first to the last hit x view.
1071     */
1072     Float_t TrkTrack::GetYav(){
1073    
1074     int first_plane = -1;
1075     int last_plane = -1;
1076     for(Int_t ip=0; ip<6; ip++){
1077     if( XGood(ip) && first_plane == -1 )first_plane = ip;
1078     if( XGood(ip) && first_plane != -1 )last_plane = ip;
1079     }
1080     if( first_plane == -1 || last_plane == -1){
1081     return -100;
1082     }
1083     if( last_plane-first_plane+1 ==0 )return -100;
1084    
1085     Float_t av = 0;
1086     for(int ip=first_plane; ip<=last_plane; ip++)av+=yv[ip];
1087    
1088     return (av/(last_plane-first_plane+1));
1089     }
1090     /**
1091     * \brief Average Z
1092     * Average value of <zv>, evaluated from the first to the last hit x view.
1093     */
1094     Float_t TrkTrack::GetZav(){
1095    
1096     int first_plane = -1;
1097     int last_plane = -1;
1098     for(Int_t ip=0; ip<6; ip++){
1099     if( XGood(ip) && first_plane == -1 )first_plane = ip;
1100     if( XGood(ip) && first_plane != -1 )last_plane = ip;
1101     }
1102     if( first_plane == -1 || last_plane == -1){
1103     return -100;
1104     }
1105     if( last_plane-first_plane+1 ==0 )return -100;
1106    
1107     Float_t av = 0;
1108     for(int ip=first_plane; ip<=last_plane; ip++)av+=zv[ip];
1109    
1110     return (av/(last_plane-first_plane+1));
1111     }
1112    
1113     /**
1114     * \brief Number of column traversed
1115     */
1116     Int_t TrkTrack::GetNColumns(){
1117     int sensors[] = {0,0,0,0,0,0};
1118     for(int ip=0; ip<6; ip++){
1119     int sensorid = GetLadder(ip)+3*GetSensor(ip);
1120     if(XGood(ip)||YGood(ip))
1121     if(sensorid>=0 && sensorid<6)sensors[sensorid]=1;
1122     }
1123     int nsensors=0;
1124     for(int is=0; is<6; is++)nsensors += sensors[is];
1125     return nsensors;
1126     };
1127     /**
1128     * \brief Give the maximum energy release
1129     */
1130     Float_t TrkTrack::GetDEDX_max(int ip, int iv){
1131     Float_t max=0;
1132     int pfrom = 0;
1133     int pto = 6;
1134     int vfrom = 0;
1135     int vto = 2;
1136     if(ip>=0&&ip<6){
1137     pfrom = ip;
1138     pto = ip+1;
1139     }
1140     if(iv>=0&&iv<2){
1141     vfrom = iv;
1142     vto = iv+1;
1143     }
1144     for(int i=pfrom; i<pto; i++)
1145     for(int j=0; j<vto; j++)
1146     if(GetDEDX(i,j)>max)max=GetDEDX(i,j);
1147    
1148     return max;
1149    
1150     };
1151    
1152     /**
1153     * \brief Give the minimum energy release
1154     */
1155     Float_t TrkTrack::GetDEDX_min(int ip, int iv){
1156     Float_t min=100000000;
1157     int pfrom = 0;
1158     int pto = 6;
1159     int vfrom = 0;
1160     int vto = 2;
1161     if(ip>=0&&ip<6){
1162     pfrom = ip;
1163     pto = ip+1;
1164     }
1165     if(iv>=0&&iv<2){
1166     vfrom = iv;
1167     vto = iv+1;
1168     }
1169     for(int i=pfrom; i<pto; i++)
1170     for(int j=0; j<vto; j++)
1171     if(GetDEDX(i,j)<min)min=GetDEDX(i,j);
1172    
1173     return min;
1174    
1175     };
1176    
1177     /**
1178     * \brief Give the maximum spatial residual release
1179     */
1180     Float_t TrkTrack::GetResidual_max(int ip, int iv){
1181     Float_t max=0;
1182     int pfrom = 0;
1183     int pto = 6;
1184     int vfrom = 0;
1185     int vto = 2;
1186     if(ip>=0&&ip<6){
1187     pfrom = ip;
1188     pto = ip+1;
1189     }
1190     if(iv>=0&&iv<2){
1191     vfrom = iv;
1192     vto = iv+1;
1193     }
1194     for(int i=pfrom; i<pto; i++){
1195     for(int j=0; j<vto; j++){
1196     if(j==0 && XGood(i) && fabs(xm[i]-xv[i])>fabs(max))max=xv[i]-xm[i];
1197     if(j==1 && YGood(i) && fabs(ym[i]-yv[i])>fabs(max))max=yv[i]-ym[i];
1198     }
1199     }
1200     return max;
1201    
1202     };
1203    
1204    
1205     /**
1206     * \brief Give the maximum multiplicity on the x view
1207     */
1208     Int_t TrkTrack::GetClusterX_Multiplicity_max(){
1209     int max=0;
1210     for(int ip=0; ip<6; ip++)
1211     if(GetClusterX_Multiplicity(ip)>max)max=GetClusterX_Multiplicity(ip);
1212     return max;
1213     };
1214     /**
1215     * \brief Give the minimum multiplicity on the x view
1216     */
1217     Int_t TrkTrack::GetClusterX_Multiplicity_min(){
1218     int min=50;
1219     for(int ip=0; ip<6; ip++)
1220     if(GetClusterX_Multiplicity(ip)<min)min=GetClusterX_Multiplicity(ip);
1221     return min;
1222     };
1223     /**
1224     * \brief Give the maximum multiplicity on the x view
1225     */
1226     Int_t TrkTrack::GetClusterY_Multiplicity_max(){
1227     int max=0;
1228     for(int ip=0; ip<6; ip++)
1229     if(GetClusterY_Multiplicity(ip)>max)max=GetClusterY_Multiplicity(ip);
1230     return max;
1231     };
1232     /**
1233     * \brief Give the minimum multiplicity on the x view
1234     */
1235     Int_t TrkTrack::GetClusterY_Multiplicity_min(){
1236     int min=50;
1237     for(int ip=0; ip<6; ip++)
1238     if(GetClusterY_Multiplicity(ip)<min)min=GetClusterY_Multiplicity(ip);
1239     return min;
1240     };
1241    
1242     /**
1243     * \brief Give the minimum seed on the x view
1244     */
1245     Float_t TrkTrack::GetClusterX_Seed_min(){
1246     Float_t min=100000;
1247     for(int ip=0; ip<6; ip++)
1248     if(XGood(ip) && GetClusterX_Seed(ip)<min)min=GetClusterX_Seed(ip);
1249     return min;
1250     };
1251     /**
1252     * \brief Give the minimum seed on the x view
1253     */
1254     Float_t TrkTrack::GetClusterY_Seed_min(){
1255     Float_t min=100000;
1256     for(int ip=0; ip<6; ip++)
1257     if(YGood(ip) && GetClusterY_Seed(ip)<min)min=GetClusterY_Seed(ip);
1258     return min;
1259     };
1260    
1261    
1262 mocchiut 1.1 //--------------------------------------
1263     //
1264     //
1265     //--------------------------------------
1266 pam-fi 1.10 void TrkTrack::Clear(){
1267 pam-fi 1.21 // cout << "TrkTrack::Clear()"<<endl;
1268     seqno = -1;
1269     image = -1;
1270     chi2 = 0;
1271     nstep = 0;
1272     for(int it1=0;it1<5;it1++){
1273     al[it1] = 0;
1274     for(int it2=0;it2<5;it2++)coval[it1][it2] = 0;
1275     };
1276     for(int ip=0;ip<6;ip++){
1277     xgood[ip] = 0;
1278     ygood[ip] = 0;
1279     xm[ip] = 0;
1280     ym[ip] = 0;
1281     zm[ip] = 0;
1282     resx[ip] = 0;
1283     resy[ip] = 0;
1284 pam-fi 1.32 tailx[ip] = 0;
1285     taily[ip] = 0;
1286 pam-fi 1.21 xv[ip] = 0;
1287     yv[ip] = 0;
1288     zv[ip] = 0;
1289     axv[ip] = 0;
1290     ayv[ip] = 0;
1291     dedx_x[ip] = 0;
1292     dedx_y[ip] = 0;
1293    
1294     };
1295 pam-fi 1.44 int ngf = TrkParams::nGF;
1296     for(int i=0; i<ngf; i++){
1297     xGF[i] = 0.;
1298     yGF[i] = 0.;
1299     }
1300 pam-fi 1.32 // if(clx)clx->Clear();
1301     // if(cly)cly->Clear();
1302     // clx.Clear();
1303     // cly.Clear();
1304 pam-fi 1.10 };
1305     //--------------------------------------
1306     //
1307     //
1308     //--------------------------------------
1309 pam-fi 1.11 void TrkTrack::Delete(){
1310 pam-fi 1.21 // cout << "TrkTrack::Delete()"<<endl;
1311 pam-fi 1.32 Clear();
1312     // if(clx)delete clx;
1313     // if(cly)delete cly;
1314 pam-fi 1.11 };
1315 pam-fi 1.21 //--------------------------------------
1316 pam-fi 1.11 //
1317     //
1318     //--------------------------------------
1319 pam-fi 1.10
1320     //--------------------------------------
1321     //
1322     //
1323     //--------------------------------------
1324 mocchiut 1.1 TrkSinglet::TrkSinglet(){
1325 pam-fi 1.21 // cout << "TrkSinglet::TrkSinglet() " << GetUniqueID()<<endl;
1326 pam-fi 1.44 // plane = 0;
1327     // coord[0] = 0;
1328     // coord[1] = 0;
1329     // sgnl = 0;
1330     // multmax = 0;
1331 pam-fi 1.21 // cls = 0;
1332 pam-fi 1.44 Clear();
1333 mocchiut 1.1 };
1334     //--------------------------------------
1335     //
1336     //
1337     //--------------------------------------
1338     TrkSinglet::TrkSinglet(const TrkSinglet& s){
1339 pam-fi 1.21 // cout << "TrkSinglet::TrkSinglet(const TrkSinglet& s) " << GetUniqueID()<<endl;
1340 mocchiut 1.1 plane = s.plane;
1341     coord[0] = s.coord[0];
1342     coord[1] = s.coord[1];
1343     sgnl = s.sgnl;
1344 pam-fi 1.44 multmax = s.multmax;
1345 pam-fi 1.9 // cls = 0;//<<<<pointer
1346 pam-fi 1.32 // cls = TRef(s.cls);
1347 mocchiut 1.1 };
1348     //--------------------------------------
1349     //
1350     //
1351     //--------------------------------------
1352     void TrkSinglet::Dump(){
1353     int i=0;
1354     cout << endl << "========== Singlet " ;
1355 pam-fi 1.44 cout << endl << "plane : " << plane;
1356     cout << endl << "coord[2] : "; while( i<2 && cout << coord[i] << " ") i++;
1357     cout << endl << "sgnl : " << sgnl;
1358     cout << endl << "max.strip : ";
1359     cout << endl << "multiplicity : ";
1360 mocchiut 1.1 }
1361     //--------------------------------------
1362     //
1363     //
1364     //--------------------------------------
1365 pam-fi 1.21 void TrkSinglet::Clear(){
1366     // cout << "TrkSinglet::Clear() " << GetUniqueID()<<endl;
1367     // cls=0;
1368     plane=-1;
1369     coord[0]=-999;
1370     coord[1]=-999;
1371     sgnl=0;
1372 pam-fi 1.44 multmax = 0;
1373 pam-fi 1.21
1374     }
1375     //--------------------------------------
1376     //
1377     //
1378     //--------------------------------------
1379 mocchiut 1.1 TrkLevel2::TrkLevel2(){
1380 mocchiut 1.24 // cout <<"TrkLevel2::TrkLevel2()"<<endl;
1381 mocchiut 1.1 for(Int_t i=0; i<12 ; i++){
1382 pam-fi 1.32 good[i] = -1;
1383     VKmask[i] = 0;
1384     VKflag[i] = 0;
1385     };
1386 pam-fi 1.21 Track = 0;
1387     SingletX = 0;
1388     SingletY = 0;
1389 pam-fi 1.6
1390 mocchiut 1.1 }
1391     //--------------------------------------
1392     //
1393     //
1394     //--------------------------------------
1395 pam-fi 1.23 void TrkLevel2::Set(){
1396     if(!Track)Track = new TClonesArray("TrkTrack");
1397     if(!SingletX)SingletX = new TClonesArray("TrkSinglet");
1398     if(!SingletY)SingletY = new TClonesArray("TrkSinglet");
1399     }
1400     //--------------------------------------
1401     //
1402     //
1403     //--------------------------------------
1404 mocchiut 1.1 void TrkLevel2::Dump(){
1405 pam-fi 1.10
1406     //
1407 mocchiut 1.1 cout << endl << endl << "=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-";
1408 pam-fi 1.40 cout << endl << "good : "; for(int i=0; i<12; i++) cout << hex <<" 0x"<< good[i]<<dec;
1409     cout << endl << "ntrk() : " << ntrk() ;
1410     cout << endl << "nclsx() : " << nclsx();
1411     cout << endl << "nclsy() : " << nclsy();
1412 pam-fi 1.21 if(Track){
1413     TClonesArray &t = *Track;
1414     for(int i=0; i<ntrk(); i++) ((TrkTrack *)t[i])->Dump();
1415     }
1416 pam-fi 1.40 // if(SingletX){
1417     // TClonesArray &sx = *SingletX;
1418     // for(int i=0; i<nclsx(); i++) ((TrkSinglet *)sx[i])->Dump();
1419     // }
1420     // if(SingletY){
1421     // TClonesArray &sy = *SingletY;
1422     // for(int i=0; i<nclsy(); i++) ((TrkSinglet *)sy[i])->Dump();
1423     // }
1424     cout << endl;
1425 mocchiut 1.1 }
1426 pam-fi 1.36 /**
1427     * \brief Dump processing status
1428     */
1429     void TrkLevel2::StatusDump(int view){
1430     cout << "DSP n. "<<view+1<<" status: "<<hex<<good[view]<<endl;
1431     };
1432     /**
1433     * \brief Check event status
1434     *
1435     * Check the event status, according to a flag-mask given as input.
1436     * Return true if the view passes the check.
1437     *
1438     * @param view View number (0-11)
1439     * @param flagmask Mask of flags to check (eg. flagmask=0x111 no missing packet,
1440     * no crc error, no software alarm)
1441     *
1442     * @see TrkLevel2 class definition to know how the status flag is defined
1443     *
1444     */
1445     Bool_t TrkLevel2::StatusCheck(int view, int flagmask){
1446    
1447     if( view<0 || view >= 12)return false;
1448     return !(good[view]&flagmask);
1449    
1450     };
1451    
1452    
1453 mocchiut 1.1 //--------------------------------------
1454     //
1455     //
1456     //--------------------------------------
1457     /**
1458 pam-fi 1.32 * The method returns false if the viking-chip was masked
1459     * either apriori ,on the basis of the mask read from the DB,
1460     * or run-by-run, on the basis of the calibration parameters)
1461     * @param iv Tracker view (0-11)
1462     * @param ivk Viking-chip number (0-23)
1463     */
1464     Bool_t TrkLevel2::GetVKMask(int iv, int ivk){
1465     Int_t whichbit = (Int_t)pow(2,ivk);
1466     return (whichbit&VKmask[iv])!=0;
1467     }
1468     /**
1469     * The method returns false if the viking-chip was masked
1470     * for this event due to common-noise computation failure.
1471     * @param iv Tracker view (0-11)
1472     * @param ivk Viking-chip number (0-23)
1473     */
1474     Bool_t TrkLevel2::GetVKFlag(int iv, int ivk){
1475     Int_t whichbit = (Int_t)pow(2,ivk);
1476     return (whichbit&VKflag[iv])!=0;
1477     }
1478     /**
1479     * The method returns true if the viking-chip was masked, either
1480     * forced (see TrkLevel2::GetVKMask(int,int)) or
1481     * for this event only (TrkLevel2::GetVKFlag(int,int)).
1482     * @param iv Tracker view (0-11)
1483 pam-fi 1.44 * @param ivk Viking-chip number (0-23)
1484 mocchiut 1.1 */
1485 pam-fi 1.32 Bool_t TrkLevel2::IsMaskedVK(int iv, int ivk){
1486     return !(GetVKMask(iv,ivk)&&GetVKFlag(iv,ivk) );
1487     };
1488 pam-fi 1.10
1489 pam-fi 1.9 //--------------------------------------
1490     //
1491     //
1492     //--------------------------------------
1493     /**
1494     * Fills a TrkLevel2 object with values from a struct cTrkLevel2 (to get data from F77 common).
1495 pam-fi 1.29 * Ref to Level1 data (clusters) is also set. If l1==NULL no references are set.
1496     * (NB It make sense to set references only if events are stored in a tree that contains also the Level1 branch)
1497 pam-fi 1.9 */
1498     void TrkLevel2::SetFromLevel2Struct(cTrkLevel2 *l2, TrkLevel1 *l1){
1499    
1500 pam-fi 1.29 // cout << "void TrkLevel2::SetFromLevel2Struct(cTrkLevel2 *l2, TrkLevel1 *l1)"<<endl;
1501     Clear();
1502 pam-fi 1.32
1503 pam-fi 1.9 // temporary objects:
1504 pam-fi 1.29 TrkSinglet* t_singlet = new TrkSinglet();
1505     TrkTrack* t_track = new TrkTrack();
1506    
1507     // -----------------
1508     // general variables
1509     // -----------------
1510     for(Int_t i=0; i<12 ; i++){
1511     good[i] = l2->good[i];
1512 pam-fi 1.32 VKmask[i]=0;
1513     VKflag[i]=0;
1514     for(Int_t ii=0; ii<24 ; ii++){
1515     Int_t setbit = (Int_t)pow(2,ii);
1516     if( l2->vkflag[ii][i]!=-1 )VKmask[i]=VKmask[i]|setbit;
1517     if( l2->vkflag[ii][i]!=0 )VKflag[i]=VKflag[i]|setbit;
1518     };
1519 pam-fi 1.29 };
1520     // --------------
1521     // *** TRACKS ***
1522     // --------------
1523     if(!Track) Track = new TClonesArray("TrkTrack");
1524     TClonesArray &t = *Track;
1525 pam-fi 1.32
1526 pam-fi 1.29 for(int i=0; i<l2->ntrk; i++){
1527     t_track->seqno = i;// NBNBNBNB deve sempre essere = i
1528     t_track->image = l2->image[i]-1;
1529     t_track->chi2 = l2->chi2_nt[i];
1530     t_track->nstep = l2->nstep_nt[i];
1531     for(int it1=0;it1<5;it1++){
1532     t_track->al[it1] = l2->al_nt[i][it1];
1533     for(int it2=0;it2<5;it2++)
1534     t_track->coval[it1][it2] = l2->coval[i][it2][it1];
1535 pam-fi 1.9 };
1536 pam-fi 1.29 for(int ip=0;ip<6;ip++){
1537 pam-fi 1.32 // ---------------------------------
1538     // new implementation of xgood/ygood
1539     // ---------------------------------
1540     t_track->xgood[ip] = l2->cltrx[i][ip]; //cluster ID
1541     t_track->ygood[ip] = l2->cltry[i][ip]; //cluster ID
1542     t_track->xgood[ip] += 10000000*l2->ls[i][ip]; // ladder+sensor
1543     t_track->ygood[ip] += 10000000*l2->ls[i][ip]; // ladder+sensor
1544     if(l2->xbad[i][ip]>0)t_track->xgood[ip]=-t_track->xgood[ip];
1545     if(l2->ybad[i][ip]>0)t_track->ygood[ip]=-t_track->ygood[ip];
1546     // if(l2->xbad[i][ip]>0 || l2->ybad[i][ip]>0){
1547     // if(l2->dedx_x[i][ip]<0 || l2->dedx_y[i][ip]<0){
1548     // cout << ip << " - "<< l2->cltrx[i][ip] << " "<<l2->cltry[i][ip]<<" "<<l2->ls[i][ip]<<endl;
1549     // cout << ip << " - "<<t_track->xgood[ip]<<" "<<t_track->ygood[ip]<<endl;
1550     // cout << ip << " - "<<t_track->GetClusterX_ID(ip)<<" "<<t_track->GetClusterY_ID(ip)<<" "<<t_track->GetLadder(ip)<<" "<<t_track->GetSensor(ip)<<endl;
1551     // cout << ip << " - "<<t_track->BadClusterX(ip)<<" "<<t_track->BadClusterY(ip)<<endl;
1552     // cout << ip << " - "<<t_track->SaturatedClusterX(ip)<<" "<<t_track->SaturatedClusterY(ip)<<endl;
1553     // }
1554 pam-fi 1.29 t_track->xm[ip] = l2->xm_nt[i][ip];
1555     t_track->ym[ip] = l2->ym_nt[i][ip];
1556     t_track->zm[ip] = l2->zm_nt[i][ip];
1557     t_track->resx[ip] = l2->resx_nt[i][ip];
1558     t_track->resy[ip] = l2->resy_nt[i][ip];
1559 pam-fi 1.32 t_track->tailx[ip] = l2->tailx[i][ip];
1560     t_track->taily[ip] = l2->taily[i][ip];
1561 pam-fi 1.29 t_track->xv[ip] = l2->xv_nt[i][ip];
1562     t_track->yv[ip] = l2->yv_nt[i][ip];
1563     t_track->zv[ip] = l2->zv_nt[i][ip];
1564     t_track->axv[ip] = l2->axv_nt[i][ip];
1565     t_track->ayv[ip] = l2->ayv_nt[i][ip];
1566     t_track->dedx_x[ip] = l2->dedx_x[i][ip];
1567     t_track->dedx_y[ip] = l2->dedx_y[i][ip];
1568 pam-fi 1.40 t_track->multmaxx[ip] = l2->multmaxx[i][ip];
1569     t_track->multmaxy[ip] = l2->multmaxy[i][ip];
1570     t_track->seedx[ip] = l2->seedx[i][ip];
1571     t_track->seedy[ip] = l2->seedy[i][ip];
1572     t_track->xpu[ip] = l2->xpu[i][ip];
1573     t_track->ypu[ip] = l2->ypu[i][ip];
1574 pam-fi 1.29 //-----------------------------------------------------
1575     //-----------------------------------------------------
1576     //-----------------------------------------------------
1577     //-----------------------------------------------------
1578     };
1579 pam-fi 1.44 // ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1580     // evaluated coordinates (to define GF)
1581     // ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1582     int ngf = TrkParams::nGF;
1583     float *zgf = TrkParams::zGF;
1584     Trajectory tgf = Trajectory(ngf,zgf);
1585     tgf.DoTrack2(t_track->al);//<<<< integrate the trajectory
1586     for(int ip=0; ip<ngf; ip++){
1587     t_track->xGF[ip] = tgf.x[ip];
1588     t_track->yGF[ip] = tgf.y[ip];
1589     }
1590    
1591 pam-fi 1.32 // if(t_track->IsSaturated())t_track->Dump();
1592 pam-fi 1.29 new(t[i]) TrkTrack(*t_track);
1593     t_track->Clear();
1594 pam-fi 1.44 };//end loop over track
1595 pam-fi 1.32
1596 pam-fi 1.29 // ----------------
1597     // *** SINGLETS ***
1598     // ----------------
1599     if(!SingletX)SingletX = new TClonesArray("TrkSinglet");
1600     TClonesArray &sx = *SingletX;
1601     for(int i=0; i<l2->nclsx; i++){
1602     t_singlet->plane = l2->planex[i];
1603     t_singlet->coord[0] = l2->xs[i][0];
1604     t_singlet->coord[1] = l2->xs[i][1];
1605     t_singlet->sgnl = l2->signlxs[i];
1606 pam-fi 1.44 t_singlet->multmax = l2->multmaxsx[i];
1607     if(l2->sxbad[i]>0) t_singlet->multmax = -1*t_singlet->multmax;
1608 pam-fi 1.29 //-----------------------------------------------------
1609 pam-fi 1.32 // if(l1) t_singlet->cls = l1->GetCluster(l2->clsx[i]-1);
1610 pam-fi 1.29 //-----------------------------------------------------
1611     new(sx[i]) TrkSinglet(*t_singlet);
1612     t_singlet->Clear();
1613     }
1614     if(!SingletY)SingletY = new TClonesArray("TrkSinglet");
1615     TClonesArray &sy = *SingletY;
1616     for(int i=0; i<l2->nclsy; i++){
1617     t_singlet->plane = l2->planey[i];
1618     t_singlet->coord[0] = l2->ys[i][0];
1619     t_singlet->coord[1] = l2->ys[i][1];
1620     t_singlet->sgnl = l2->signlys[i];
1621 pam-fi 1.44 t_singlet->multmax = l2->multmaxsy[i];
1622     if(l2->sybad[i]>0) t_singlet->multmax = -1*t_singlet->multmax;
1623 pam-fi 1.26 //-----------------------------------------------------
1624 pam-fi 1.32 // if(l1) t_singlet->cls = l1->GetCluster(l2->clsy[i]-1);
1625 pam-fi 1.26 //-----------------------------------------------------
1626 pam-fi 1.29 new(sy[i]) TrkSinglet(*t_singlet);
1627     t_singlet->Clear();
1628     };
1629 pam-fi 1.44
1630    
1631 pam-fi 1.5
1632 pam-fi 1.29 delete t_track;
1633     delete t_singlet;
1634 mocchiut 1.1 }
1635 pam-fi 1.7 /**
1636     * Fills a struct cTrkLevel2 with values from a TrkLevel2 object (to put data into a F77 common).
1637     */
1638    
1639     void TrkLevel2::GetLevel2Struct(cTrkLevel2 *l2) const {
1640    
1641     // general variables
1642 pam-fi 1.10 // l2->good2 = good2 ;
1643 pam-fi 1.7 for(Int_t i=0; i<12 ; i++){
1644 pam-fi 1.10 // l2->crc[i] = crc[i];
1645     l2->good[i] = good[i];
1646 pam-fi 1.7 };
1647     // *** TRACKS ***
1648    
1649 pam-fi 1.21 if(Track){
1650     l2->ntrk = Track->GetEntries();
1651     for(Int_t i=0;i<l2->ntrk;i++){
1652     l2->image[i] = 1 + ((TrkTrack *)Track->At(i))->image;
1653     l2->chi2_nt[i] = ((TrkTrack *)Track->At(i))->chi2;
1654     l2->nstep_nt[i] = ((TrkTrack *)Track->At(i))->nstep;
1655     for(int it1=0;it1<5;it1++){
1656     l2->al_nt[i][it1] = ((TrkTrack *)Track->At(i))->al[it1];
1657     for(int it2=0;it2<5;it2++)
1658     l2->coval[i][it2][it1] = ((TrkTrack *)Track->At(i))->coval[it1][it2];
1659     };
1660     for(int ip=0;ip<6;ip++){
1661 pam-fi 1.30 l2->xgood_nt[i][ip] = ((TrkTrack *)Track->At(i))->XGood(ip);
1662     l2->ygood_nt[i][ip] = ((TrkTrack *)Track->At(i))->YGood(ip);
1663 pam-fi 1.21 l2->xm_nt[i][ip] = ((TrkTrack *)Track->At(i))->xm[ip];
1664     l2->ym_nt[i][ip] = ((TrkTrack *)Track->At(i))->ym[ip];
1665     l2->zm_nt[i][ip] = ((TrkTrack *)Track->At(i))->zm[ip];
1666     l2->resx_nt[i][ip] = ((TrkTrack *)Track->At(i))->resx[ip];
1667     l2->resy_nt[i][ip] = ((TrkTrack *)Track->At(i))->resy[ip];
1668 pam-fi 1.32 l2->tailx[i][ip] = ((TrkTrack *)Track->At(i))->tailx[ip];
1669     l2->taily[i][ip] = ((TrkTrack *)Track->At(i))->taily[ip];
1670 pam-fi 1.21 l2->xv_nt[i][ip] = ((TrkTrack *)Track->At(i))->xv[ip];
1671     l2->yv_nt[i][ip] = ((TrkTrack *)Track->At(i))->yv[ip];
1672     l2->zv_nt[i][ip] = ((TrkTrack *)Track->At(i))->zv[ip];
1673     l2->axv_nt[i][ip] = ((TrkTrack *)Track->At(i))->axv[ip];
1674     l2->ayv_nt[i][ip] = ((TrkTrack *)Track->At(i))->ayv[ip];
1675     l2->dedx_x[i][ip] = ((TrkTrack *)Track->At(i))->dedx_x[ip];
1676     l2->dedx_y[i][ip] = ((TrkTrack *)Track->At(i))->dedx_y[ip];
1677     };
1678     }
1679     }
1680     // *** SINGLETS ***
1681     if(SingletX){
1682     l2->nclsx = SingletX->GetEntries();
1683     for(Int_t i=0;i<l2->nclsx;i++){
1684     l2->planex[i] = ((TrkSinglet *)SingletX->At(i))->plane;
1685     l2->xs[i][0] = ((TrkSinglet *)SingletX->At(i))->coord[0];
1686     l2->xs[i][1] = ((TrkSinglet *)SingletX->At(i))->coord[1];
1687     l2->signlxs[i] = ((TrkSinglet *)SingletX->At(i))->sgnl;
1688     }
1689 pam-fi 1.7 }
1690    
1691 pam-fi 1.21 if(SingletY){
1692     l2->nclsy = SingletY->GetEntries();
1693     for(Int_t i=0;i<l2->nclsy;i++){
1694     l2->planey[i] = ((TrkSinglet *)SingletY->At(i))->plane;
1695     l2->ys[i][0] = ((TrkSinglet *)SingletY->At(i))->coord[0];
1696     l2->ys[i][1] = ((TrkSinglet *)SingletY->At(i))->coord[1];
1697     l2->signlys[i] = ((TrkSinglet *)SingletY->At(i))->sgnl;
1698     }
1699 pam-fi 1.7 }
1700     }
1701 mocchiut 1.1 //--------------------------------------
1702     //
1703     //
1704     //--------------------------------------
1705     void TrkLevel2::Clear(){
1706     for(Int_t i=0; i<12 ; i++){
1707 pam-fi 1.21 good[i] = -1;
1708 pam-fi 1.32 VKflag[i] = 0;
1709     VKmask[i] = 0;
1710 pam-fi 1.21 };
1711     // if(Track)Track->Clear("C");
1712     // if(SingletX)SingletX->Clear("C");
1713     // if(SingletY)SingletY->Clear("C");
1714     if(Track)Track->Delete();
1715     if(SingletX)SingletX->Delete();
1716     if(SingletY)SingletY->Delete();
1717     }
1718     // //--------------------------------------
1719     // //
1720     // //
1721     // //--------------------------------------
1722 pam-fi 1.11 void TrkLevel2::Delete(){
1723    
1724 pam-fi 1.21 // cout << "void TrkLevel2::Delete()"<<endl;
1725     Clear();
1726     if(Track)delete Track;
1727     if(SingletX)delete SingletX;
1728     if(SingletY)delete SingletY;
1729    
1730 pam-fi 1.11 }
1731     //--------------------------------------
1732     //
1733     //
1734     //--------------------------------------
1735 mocchiut 1.1 /**
1736     * Sort physical tracks and stores them in a TObjectArray, ordering by increasing chi**2 value (in case of track image, it selects the one with lower chi**2). The total number of physical tracks is given by GetNTracks() and the it-th physical track can be retrieved by means of the method GetTrack(int it).
1737     * This method is overridden by PamLevel2::GetTracks(), where calorimeter and TOF information is used.
1738     */
1739 pam-fi 1.8 TRefArray *TrkLevel2::GetTracks_NFitSorted(){
1740 pam-fi 1.3
1741 pam-fi 1.21 if(!Track)return 0;
1742    
1743     TRefArray *sorted = new TRefArray();
1744 pam-fi 1.8
1745 pam-fi 1.21 TClonesArray &t = *Track;
1746 pam-fi 1.8 // TClonesArray &ts = *PhysicalTrack;
1747 pam-fi 1.21 int N = ntrk();
1748     vector<int> m(N); for(int i=0; i<N; i++)m[i]=1;
1749 pam-fi 1.8 // int m[50]; for(int i=0; i<N; i++)m[i]=1;
1750    
1751 pam-fi 1.21 int indo=0;
1752     int indi=0;
1753 pam-fi 1.26 while(N > 0){
1754     // while(N != 0){
1755 pam-fi 1.21 int nfit =0;
1756     float chi2ref = numeric_limits<float>::max();
1757 pam-fi 1.9
1758 pam-fi 1.21 // first loop to search maximum num. of fit points
1759     for(int i=0; i < ntrk(); i++){
1760     if( ((TrkTrack *)t[i])->GetNtot() >= nfit && m[i]==1){
1761     nfit = ((TrkTrack *)t[i])->GetNtot();
1762     }
1763     }
1764     //second loop to search minimum chi2 among selected
1765 pam-fi 1.26 for(int i=0; i<ntrk(); i++){
1766 pam-fi 1.21 Float_t chi2 = ((TrkTrack *)t[i])->chi2;
1767 pam-fi 1.26 if(chi2 < 0) chi2 = -chi2*1000;
1768 pam-fi 1.21 if( chi2 < chi2ref
1769     && ((TrkTrack *)t[i])->GetNtot() == nfit
1770     && m[i]==1){
1771     chi2ref = ((TrkTrack *)t[i])->chi2;
1772     indi = i;
1773     };
1774     };
1775     if( ((TrkTrack *)t[indi])->HasImage() ){
1776     m[((TrkTrack *)t[indi])->image] = 0;
1777     N--;
1778 pam-fi 1.8
1779 pam-fi 1.26 // cout << "i** "<< ((TrkTrack *)t[indi])->image << " " << nfiti <<" "<<chi2i<<endl;
1780 pam-fi 1.21 };
1781     sorted->Add( (TrkTrack*)t[indi] );
1782 pam-fi 1.3
1783 pam-fi 1.21 m[indi] = 0;
1784 pam-fi 1.26 // cout << "SORTED "<< indo << " "<< indi << " "<< N << " "<<((TrkTrack *)t[indi])->image<<" "<<chi2ref<<endl;
1785 pam-fi 1.21 N--;
1786     indo++;
1787     }
1788     m.clear();
1789 pam-fi 1.26 // cout << "GetTracks_NFitSorted(it): Done"<< endl;
1790 pam-fi 1.8
1791 pam-fi 1.21 return sorted;
1792 pam-fi 1.6 // return PhysicalTrack;
1793 pam-fi 1.3 }
1794 mocchiut 1.1 //--------------------------------------
1795     //
1796     //
1797     //--------------------------------------
1798     /**
1799     * Retrieves the is-th stored track.
1800     * @param it Track number, ranging from 0 to ntrk().
1801     * Fitted tracks ( images included ) are stored in a TObjectArray ( TrkLevel2::Track ) in the same order they are returned by the F77 fitting routine.
1802     */
1803     TrkTrack *TrkLevel2::GetStoredTrack(int is){
1804    
1805     if(is >= this->ntrk()){
1806 pam-fi 1.42 cout << "TrkTrack *TrkLevel2::GetStoredTrack(int) >> Track "<< is << "doen not exits! " << endl;
1807     cout << "Stored tracks ntrk() = "<< this->ntrk() << endl;
1808 mocchiut 1.1 return 0;
1809     }
1810 pam-fi 1.21 if(!Track){
1811     cout << "TrkTrack *TrkLevel2::GetStoredTrack(int is) >> (TClonesArray*) Track ==0 "<<endl;
1812     };
1813 mocchiut 1.1 TClonesArray &t = *(Track);
1814     TrkTrack *track = (TrkTrack*)t[is];
1815     return track;
1816     }
1817     //--------------------------------------
1818     //
1819     //
1820     //--------------------------------------
1821     /**
1822 pam-fi 1.6 * Retrieves the is-th stored X singlet.
1823     * @param it Singlet number, ranging from 0 to nclsx().
1824     */
1825     TrkSinglet *TrkLevel2::GetSingletX(int is){
1826    
1827     if(is >= this->nclsx()){
1828 pam-fi 1.42 cout << "TrkSinglet *TrkLevel2::GetSingletX(int) >> Singlet "<< is << "doen not exits! " << endl;
1829     cout << "Stored x-singlets nclsx() = "<< this->nclsx() << endl;
1830 pam-fi 1.6 return 0;
1831     }
1832 pam-fi 1.21 if(!SingletX)return 0;
1833 pam-fi 1.6 TClonesArray &t = *(SingletX);
1834     TrkSinglet *singlet = (TrkSinglet*)t[is];
1835     return singlet;
1836     }
1837     //--------------------------------------
1838     //
1839     //
1840     //--------------------------------------
1841     /**
1842     * Retrieves the is-th stored Y singlet.
1843     * @param it Singlet number, ranging from 0 to nclsx().
1844     */
1845     TrkSinglet *TrkLevel2::GetSingletY(int is){
1846    
1847     if(is >= this->nclsy()){
1848 pam-fi 1.42 cout << "TrkSinglet *TrkLevel2::GetSingletY(int) >> Singlet "<< is << "doen not exits! " << endl;
1849     cout << "Stored y-singlets nclsx() = "<< this->nclsx() << endl;
1850 pam-fi 1.6 return 0;
1851     }
1852 pam-fi 1.21 if(!SingletY)return 0;
1853 pam-fi 1.6 TClonesArray &t = *(SingletY);
1854     TrkSinglet *singlet = (TrkSinglet*)t[is];
1855     return singlet;
1856     }
1857     //--------------------------------------
1858     //
1859     //
1860     //--------------------------------------
1861     /**
1862 mocchiut 1.1 * Retrieves the it-th "physical" track, sorted by the method GetNTracks().
1863     * @param it Track number, ranging from 0 to GetNTracks().
1864     */
1865 pam-fi 1.10
1866 pam-fi 1.8 TrkTrack *TrkLevel2::GetTrack(int it){
1867    
1868     if(it >= this->GetNTracks()){
1869 pam-fi 1.42 cout << "TrkTrack *TrkLevel2::GetTrack(int) >> Track "<< it << "does not exits! " << endl;
1870     cout << "Physical tracks GetNTracks() = "<< this->ntrk() << endl;
1871 pam-fi 1.8 return 0;
1872     }
1873    
1874     TRefArray *sorted = GetTracks(); //TEMPORANEO
1875 pam-fi 1.21 if(!sorted)return 0;
1876 pam-fi 1.8 TrkTrack *track = (TrkTrack*)sorted->At(it);
1877 pam-fi 1.21 sorted->Clear();
1878     delete sorted;
1879 pam-fi 1.8 return track;
1880 mocchiut 1.1 }
1881 pam-fi 1.6 /**
1882     * Give the number of "physical" tracks, sorted by the method GetTracks().
1883     */
1884 pam-fi 1.5 Int_t TrkLevel2::GetNTracks(){
1885 pam-fi 1.8
1886     Float_t ntot=0;
1887 pam-fi 1.21 if(!Track)return 0;
1888 pam-fi 1.8 TClonesArray &t = *Track;
1889 mocchiut 1.12 for(int i=0; i<ntrk(); i++) {
1890 pam-fi 1.8 if( ((TrkTrack *)t[i])->GetImageSeqNo() == -1 ) ntot+=1.;
1891     else ntot+=0.5;
1892     }
1893     return (Int_t)ntot;
1894    
1895 pam-fi 1.5 };
1896 mocchiut 1.1 //--------------------------------------
1897     //
1898     //
1899     //--------------------------------------
1900     /**
1901     * Retrieves (if present) the image of the it-th "physical" track, sorted by the method GetNTracks().
1902     * @param it Track number, ranging from 0 to GetNTracks().
1903     */
1904 pam-fi 1.8 TrkTrack *TrkLevel2::GetTrackImage(int it){
1905    
1906 pam-fi 1.21 if(it >= this->GetNTracks()){
1907 pam-fi 1.42 cout << "TrkTrack *TrkLevel2::GetTrackImage(int) >> Track "<< it << "does not exits! " << endl;
1908     cout << "Physical tracks GetNTracks() = "<< this->ntrk() << endl;
1909 pam-fi 1.21 return 0;
1910     }
1911 pam-fi 1.8
1912 pam-fi 1.21 TRefArray* sorted = GetTracks(); //TEMPORANEO
1913     if(!sorted)return 0;
1914     TrkTrack *track = (TrkTrack*)sorted->At(it);
1915 pam-fi 1.8
1916 pam-fi 1.21 if(!track->HasImage()){
1917 pam-fi 1.42 cout << "TrkTrack *TrkLevel2::GetTrackImage(int) >> Track "<< it << "does not have image! " << endl;
1918 pam-fi 1.21 return 0;
1919     }
1920     if(!Track)return 0;
1921     TrkTrack *image = (TrkTrack*)(*Track)[track->image];
1922    
1923     sorted->Delete();
1924     delete sorted;
1925 pam-fi 1.8
1926 pam-fi 1.21 return image;
1927 pam-fi 1.8
1928 mocchiut 1.1 }
1929     //--------------------------------------
1930     //
1931     //
1932     //--------------------------------------
1933     /**
1934     * Loads the magnetic field.
1935     * @param s Path of the magnetic-field files.
1936     */
1937 pam-fi 1.16 void TrkLevel2::LoadField(TString path){
1938     //
1939 pam-fi 1.26 // strcpy(path_.path,path.Data());
1940     // path_.pathlen = path.Length();
1941     // path_.error = 0;
1942     // readb_();
1943    
1944 pam-fi 1.41 // TrkParams::SetTrackingMode();
1945     // TrkParams::SetPrecisionFactor();
1946     // TrkParams::SetStepMin();
1947     TrkParams::SetMiniDefault();
1948 pam-fi 1.33
1949 pam-fi 1.26 TrkParams::Set(path,1);
1950 pam-fi 1.28 TrkParams::Load(1);
1951 pam-fi 1.26
1952 pam-fi 1.16 //
1953 mocchiut 1.1 };
1954 pam-fi 1.33 // /**
1955     // * Get BY (kGauss)
1956     // * @param v (x,y,z) coordinates in cm
1957     // */
1958     // float TrkLevel2::GetBX(float* v){
1959     // float b[3];
1960     // gufld_(v,b);
1961     // return b[0]/10.;
1962     // }
1963     // /**
1964     // * Get BY (kGauss)
1965     // * @param v (x,y,z) coordinates in cm
1966     // */
1967     // float TrkLevel2::GetBY(float* v){
1968     // float b[3];
1969     // gufld_(v,b);
1970     // return b[1]/10.;
1971     // }
1972     // /**
1973     // * Get BY (kGauss)
1974     // * @param v (x,y,z) coordinates in cm
1975     // */
1976     // float TrkLevel2::GetBZ(float* v){
1977     // float b[3];
1978     // gufld_(v,b);
1979     // return b[2]/10.;
1980     // }
1981 mocchiut 1.1 //--------------------------------------
1982     //
1983     //
1984     //--------------------------------------
1985     /**
1986 pam-fi 1.6 * Get tracker-plane (mechanical) z-coordinate
1987     * @param plane_id plane index (1=TOP,2,3,4,5,6=BOTTOM)
1988     */
1989     Float_t TrkLevel2::GetZTrk(Int_t plane_id){
1990     switch(plane_id){
1991     case 1: return ZTRK1;
1992     case 2: return ZTRK2;
1993     case 3: return ZTRK3;
1994     case 4: return ZTRK4;
1995     case 5: return ZTRK5;
1996     case 6: return ZTRK6;
1997     default: return 0.;
1998     };
1999     };
2000     //--------------------------------------
2001     //
2002     //
2003     //--------------------------------------
2004     /**
2005 pam-fi 1.2 * Trajectory default constructor.
2006     * (By default is created with z-coordinates inside the tracking volume)
2007     */
2008     Trajectory::Trajectory(){
2009     npoint = 10;
2010     x = new float[npoint];
2011     y = new float[npoint];
2012     z = new float[npoint];
2013     thx = new float[npoint];
2014     thy = new float[npoint];
2015     tl = new float[npoint];
2016 pam-fi 1.6 float dz = ((ZTRK1)-(ZTRK6))/(npoint-1);
2017 pam-fi 1.2 for(int i=0; i<npoint; i++){
2018     x[i] = 0;
2019     y[i] = 0;
2020 pam-fi 1.6 z[i] = (ZTRK1) - i*dz;
2021 pam-fi 1.2 thx[i] = 0;
2022     thy[i] = 0;
2023     tl[i] = 0;
2024     }
2025     }
2026     //--------------------------------------
2027     //
2028     //
2029     //--------------------------------------
2030     /**
2031 mocchiut 1.1 * Trajectory constructor.
2032 pam-fi 1.2 * (By default is created with z-coordinates inside the tracking volume)
2033 mocchiut 1.1 * \param n Number of points
2034     */
2035     Trajectory::Trajectory(int n){
2036 pam-fi 1.2 if(n<=0){
2037     cout << "NB! Trajectory must have at least 1 point >>> created with 10 points" << endl;
2038     n=10;
2039     }
2040 mocchiut 1.1 npoint = n;
2041     x = new float[npoint];
2042     y = new float[npoint];
2043     z = new float[npoint];
2044 pam-fi 1.2 thx = new float[npoint];
2045     thy = new float[npoint];
2046     tl = new float[npoint];
2047 pam-fi 1.6 float dz = ((ZTRK1)-(ZTRK6))/(npoint-1);
2048 mocchiut 1.1 for(int i=0; i<npoint; i++){
2049 pam-fi 1.2 x[i] = 0;
2050 mocchiut 1.1 y[i] = 0;
2051 pam-fi 1.6 z[i] = (ZTRK1) - i*dz;
2052 pam-fi 1.2 thx[i] = 0;
2053     thy[i] = 0;
2054     tl[i] = 0;
2055 mocchiut 1.1 }
2056     }
2057     //--------------------------------------
2058     //
2059     //
2060     //--------------------------------------
2061     /**
2062     * Trajectory constructor.
2063     * \param n Number of points
2064     * \param pz Pointer to float array, defining z coordinates
2065     */
2066     Trajectory::Trajectory(int n, float* zin){
2067 pam-fi 1.2 npoint = 10;
2068     if(n>0)npoint = n;
2069 mocchiut 1.1 x = new float[npoint];
2070     y = new float[npoint];
2071     z = new float[npoint];
2072 pam-fi 1.2 thx = new float[npoint];
2073     thy = new float[npoint];
2074     tl = new float[npoint];
2075     int i=0;
2076     do{
2077 pam-fi 1.21 x[i] = 0;
2078     y[i] = 0;
2079     z[i] = zin[i];
2080     thx[i] = 0;
2081     thy[i] = 0;
2082     tl[i] = 0;
2083     i++;
2084 pam-fi 1.2 }while(zin[i-1] > zin[i] && i < npoint);
2085     npoint=i;
2086     if(npoint != n)cout << "NB! Trajectory created with "<<npoint<<" points"<<endl;
2087 mocchiut 1.1 }
2088 pam-fi 1.21 void Trajectory::Delete(){
2089    
2090     if(x) delete [] x;
2091     if(y) delete [] y;
2092     if(z) delete [] z;
2093     if(thx) delete [] thx;
2094     if(thy) delete [] thy;
2095     if(tl) delete [] tl;
2096    
2097     }
2098 mocchiut 1.1 //--------------------------------------
2099     //
2100     //
2101     //--------------------------------------
2102     /**
2103     * Dump the trajectory coordinates.
2104     */
2105     void Trajectory::Dump(){
2106     cout <<endl<< "Trajectory ========== "<<endl;
2107     for (int i=0; i<npoint; i++){
2108 pam-fi 1.2 cout << i <<" >> " << x[i] <<" "<< y[i] <<" "<< z[i] ;
2109     cout <<" -- " << thx[i] <<" "<< thy[i] ;
2110     cout <<" -- " << tl[i] << endl;
2111 mocchiut 1.1 };
2112     }
2113 pam-fi 1.2 //--------------------------------------
2114     //
2115     //
2116     //--------------------------------------
2117     /**
2118     * Get trajectory length between two points
2119     * @param ifirst first point (default 0)
2120     * @param ilast last point (default npoint)
2121     */
2122     float Trajectory::GetLength(int ifirst, int ilast){
2123     if( ifirst<0 ) ifirst = 0;
2124     if( ilast>=npoint) ilast = npoint-1;
2125     float l=0;
2126     for(int i=ifirst;i<=ilast;i++){
2127     l=l+tl[i];
2128     };
2129     if(z[ilast] > ZINI)l=l-tl[ilast];
2130     if(z[ifirst] < ZINI) l=l-tl[ifirst];
2131    
2132     return l;
2133 mocchiut 1.1
2134 pam-fi 1.2 }
2135 pam-fi 1.6
2136 pam-fi 1.19 /**
2137     * Evaluates the trajectory in the apparatus associated to the track.
2138     * It integrates the equations of motion in the magnetic field. The magnetic field should be previously loaded ( by calling TrkLevel2::LoadField() ), otherwise an error message is returned.
2139     * @param t pointer to an object of the class Trajectory,
2140     * which z coordinates should be previously initialized by calling the proper constructor ( Trajectory::Trajectory(int n, float* zin) ).
2141     * @return error flag.
2142     */
2143     int Trajectory::DoTrack2(float* al){
2144    
2145     double *dxout = new double[npoint];
2146     double *dyout = new double[npoint];
2147     double *dthxout = new double[npoint];
2148     double *dthyout = new double[npoint];
2149     double *dtlout = new double[npoint];
2150     double *dzin = new double[npoint];
2151     double dal[5];
2152    
2153     int ifail = 0;
2154    
2155     for (int i=0; i<5; i++) dal[i] = (double)al[i];
2156     for (int i=0; i<npoint; i++) dzin[i] = (double)z[i];
2157    
2158 pam-fi 1.26 TrkParams::Load(1);
2159     if( !TrkParams::IsLoaded(1) ){
2160     cout << "int Trajectory::DoTrack2(float* al) --- ERROR --- m.field not loaded"<<endl;
2161     return 0;
2162     }
2163 pam-fi 1.19 dotrack2_(&(npoint),dzin,dxout,dyout,dthxout,dthyout,dtlout,dal,&ifail);
2164    
2165     for (int i=0; i<npoint; i++){
2166     x[i] = (float)*dxout++;
2167     y[i] = (float)*dyout++;
2168     thx[i] = (float)*dthxout++;
2169     thy[i] = (float)*dthyout++;
2170     tl[i] = (float)*dtlout++;
2171     }
2172    
2173     return ifail;
2174     };
2175 pam-fi 1.10
2176 mocchiut 1.1 ClassImp(TrkLevel2);
2177     ClassImp(TrkSinglet);
2178     ClassImp(TrkTrack);
2179     ClassImp(Trajectory);

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