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Updating info on the MUONGenerateGeometryData.C macro
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81e97e0d 1/**************************************************************************
2 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
3 * *
4 * Author: The ALICE Off-line Project. *
5 * Contributors are mentioned in the code where appropriate. *
6 * *
7 * Permission to use, copy, modify and distribute this software and its *
8 * documentation strictly for non-commercial purposes is hereby granted *
9 * without fee, provided that the above copyright notice appears in all *
10 * copies and that both the copyright notice and this permission notice *
11 * appear in the supporting documentation. The authors make no claims *
12 * about the suitability of this software for any purpose. It is *
13 * provided "as is" without express or implied warranty. *
14 **************************************************************************/
15
16
17
18
19//-----------------------------------------------------------------
20// Implementation of the TPC seed class
21// This class is used by the AliTPCtrackerMI class
22// Origin: Marian Ivanov, CERN, Marian.Ivanov@cern.ch
23//-----------------------------------------------------------------
24#include "TClonesArray.h"
25#include "AliTPCseed.h"
26
27ClassImp(AliTPCseed)
28
29
30
31AliTPCseed::AliTPCseed():AliTPCtrack(){
32 //
33 fRow=0;
34 fRemoval =0;
35 for (Int_t i=0;i<200;i++) SetClusterIndex2(i,-3);
36 for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
37 for (Int_t i=0;i<3;i++) fKinkIndexes[i]=0;
38 for (Int_t i=0;i<5;i++) fTPCr[i]=0.2;
39 fPoints = 0;
40 fEPoints = 0;
41 fNFoundable =0;
42 fNShared =0;
43 fRemoval = 0;
44 fSort =0;
45 fFirstPoint =0;
46 fNoCluster =0;
47 fBSigned = kFALSE;
48 fSeed1 =-1;
49 fSeed2 =-1;
50 fCurrentCluster =0;
51 fCurrentSigmaY2=0;
52 fCurrentSigmaZ2=0;
53 fCircular = 0; // not curling track
54}
55AliTPCseed::AliTPCseed(const AliTPCseed &s):AliTPCtrack(s){
56 //---------------------
57 // dummy copy constructor
58 //-------------------------
59 for (Int_t i=0;i<160;i++) fClusterPointer[i] = s.fClusterPointer[i];
60 for (Int_t i=0;i<160;i++) fIndex[i] = s.fIndex[i];
61
62 fPoints = 0;
63 fEPoints = 0;
64 fCircular =0;
65}
66AliTPCseed::AliTPCseed(const AliTPCtrack &t):AliTPCtrack(t){
67 //
68 //copy constructor
69 fPoints = 0;
70 fEPoints = 0;
71 fNShared =0;
72 // fTrackPoints =0;
73 fRemoval =0;
74 fSort =0;
75 for (Int_t i=0;i<3;i++) fKinkIndexes[i]=t.GetKinkIndex(i);
76
77 for (Int_t i=0;i<160;i++) {
78 fClusterPointer[i] = 0;
79 Int_t index = t.GetClusterIndex(i);
80 if (index>=-1){
81 SetClusterIndex2(i,index);
82 }
83 else{
84 SetClusterIndex2(i,-3);
85 }
86 }
87 fFirstPoint =0;
88 fNoCluster =0;
89 fBSigned = kFALSE;
90 fSeed1 =-1;
91 fSeed2 =-1;
92 fCurrentCluster =0;
93 fCurrentSigmaY2=0;
94 fCurrentSigmaZ2=0;
95 fCircular =0;
96}
97
98AliTPCseed::AliTPCseed(UInt_t index, const Double_t xx[5], const Double_t cc[15],
99 Double_t xr, Double_t alpha):
100 AliTPCtrack(index, xx, cc, xr, alpha) {
101 //
102 //
103 //constructor
104 fRow =0;
105 for (Int_t i=0;i<200;i++) SetClusterIndex2(i,-3);
106 for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
107 for (Int_t i=0;i<3;i++) fKinkIndexes[i]=0;
108 for (Int_t i=0;i<5;i++) fTPCr[i]=0.2;
109
110 fPoints = 0;
111 fEPoints = 0;
112 fNFoundable =0;
113 fNShared = 0;
114 // fTrackPoints =0;
115 fRemoval =0;
116 fSort =0;
117 fFirstPoint =0;
118 // fHelixIn = new TClonesArray("AliHelix",0);
119 //fHelixOut = new TClonesArray("AliHelix",0);
120 fNoCluster =0;
121 fBSigned = kFALSE;
122 fSeed1 =-1;
123 fSeed2 =-1;
124 fCurrentCluster =0;
125 fCurrentSigmaY2=0;
126 fCurrentSigmaZ2=0;
127}
128
129AliTPCseed::~AliTPCseed(){
130 //
131 // destructor
132 if (fPoints) delete fPoints;
133 fPoints =0;
134 if (fEPoints) delete fEPoints;
135 fEPoints = 0;
136 fNoCluster =0;
137}
138
139AliTPCTrackerPoint * AliTPCseed::GetTrackPoint(Int_t i)
140{
141 //
142 //
143 return &fTrackPoints[i];
144}
145
146void AliTPCseed::RebuildSeed()
147{
148 //
149 // rebuild seed to be ready for storing
150 AliTPCclusterMI cldummy;
151 cldummy.SetQ(0);
152 AliTPCTrackPoint pdummy;
153 pdummy.GetTPoint().fIsShared = 10;
154 for (Int_t i=0;i<160;i++){
155 AliTPCclusterMI * cl0 = fClusterPointer[i];
156 AliTPCTrackPoint *trpoint = (AliTPCTrackPoint*)fPoints->UncheckedAt(i);
157 if (cl0){
158 trpoint->GetTPoint() = *(GetTrackPoint(i));
159 trpoint->GetCPoint() = *cl0;
160 trpoint->GetCPoint().SetQ(TMath::Abs(cl0->GetQ()));
161 }
162 else{
163 *trpoint = pdummy;
164 trpoint->GetCPoint()= cldummy;
165 }
166
167 }
168
169}
170
171
172Double_t AliTPCseed::GetDensityFirst(Int_t n)
173{
174 //
175 //
176 // return cluster for n rows bellow first point
177 Int_t nfoundable = 1;
178 Int_t nfound = 1;
179 for (Int_t i=fLastPoint-1;i>0&&nfoundable<n; i--){
180 Int_t index = GetClusterIndex2(i);
181 if (index!=-1) nfoundable++;
182 if (index>0) nfound++;
183 }
184 if (nfoundable<n) return 0;
185 return Double_t(nfound)/Double_t(nfoundable);
186
187}
188
189
190void AliTPCseed::GetClusterStatistic(Int_t first, Int_t last, Int_t &found, Int_t &foundable, Int_t &shared, Bool_t plus2)
191{
192 // get cluster stat. on given region
193 //
194 found = 0;
195 foundable = 0;
196 shared =0;
197 for (Int_t i=first;i<last; i++){
198 Int_t index = GetClusterIndex2(i);
199 if (index!=-1) foundable++;
200 if (fClusterPointer[i]) {
201 found++;
202 }
203 else
204 continue;
205
206 if (fClusterPointer[i]->IsUsed(10)) {
207 shared++;
208 continue;
209 }
210 if (!plus2) continue; //take also neighborhoud
211 //
212 if ( (i>0) && fClusterPointer[i-1]){
213 if (fClusterPointer[i-1]->IsUsed(10)) {
214 shared++;
215 continue;
216 }
217 }
218 if ( fClusterPointer[i+1]){
219 if (fClusterPointer[i+1]->IsUsed(10)) {
220 shared++;
221 continue;
222 }
223 }
224
225 }
226 //if (shared>found){
227 //Error("AliTPCseed::GetClusterStatistic","problem\n");
228 //}
229}
230
231
232
233
234
235void AliTPCseed::Reset(Bool_t all)
236{
237 //
238 //
239 SetNumberOfClusters(0);
240 fNFoundable = 0;
241 SetChi2(0);
242 ResetCovariance();
243 /*
244 if (fTrackPoints){
245 for (Int_t i=0;i<8;i++){
246 delete [] fTrackPoints[i];
247 }
248 delete fTrackPoints;
249 fTrackPoints =0;
250 }
251 */
252
253 if (all){
254 for (Int_t i=0;i<200;i++) SetClusterIndex2(i,-3);
255 for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
256 }
257
258}
259
260
261void AliTPCseed::Modify(Double_t factor)
262{
263
264 //------------------------------------------------------------------
265 //This function makes a track forget its history :)
266 //------------------------------------------------------------------
267 if (factor<=0) {
268 ResetCovariance();
269 return;
270 }
271 fC00*=factor;
272 fC10*=0; fC11*=factor;
273 fC20*=0; fC21*=0; fC22*=factor;
274 fC30*=0; fC31*=0; fC32*=0; fC33*=factor;
275 fC40*=0; fC41*=0; fC42*=0; fC43*=0; fC44*=factor;
276 SetNumberOfClusters(0);
277 fNFoundable =0;
278 SetChi2(0);
279 fRemoval = 0;
280 fCurrentSigmaY2 = 0.000005;
281 fCurrentSigmaZ2 = 0.000005;
282 fNoCluster = 0;
283 //fFirstPoint = 160;
284 //fLastPoint = 0;
285}
286
287
288
289
290Int_t AliTPCseed::GetProlongation(Double_t xk, Double_t &y, Double_t & z) const
291{
292 //-----------------------------------------------------------------
293 // This function find proloncation of a track to a reference plane x=xk.
294 // doesn't change internal state of the track
295 //-----------------------------------------------------------------
296
297 Double_t x1=fX, x2=x1+(xk-x1), dx=x2-x1;
298
299 if (TMath::Abs(fP4*xk - fP2) >= 0.999) {
300 return 0;
301 }
302
303 // Double_t y1=fP0, z1=fP1;
304 Double_t c1=fP4*x1 - fP2, r1=sqrt(1.- c1*c1);
305 Double_t c2=fP4*x2 - fP2, r2=sqrt(1.- c2*c2);
306
307 y = fP0;
308 z = fP1;
309 //y += dx*(c1+c2)/(r1+r2);
310 //z += dx*(c1+c2)/(c1*r2 + c2*r1)*fP3;
311
312 Double_t dy = dx*(c1+c2)/(r1+r2);
313 Double_t dz = 0;
314 //
315 Double_t delta = fP4*dx*(c1+c2)/(c1*r2 + c2*r1);
316 /*
317 if (TMath::Abs(delta)>0.0001){
318 dz = fP3*TMath::ASin(delta)/fP4;
319 }else{
320 dz = dx*fP3*(c1+c2)/(c1*r2 + c2*r1);
321 }
322 */
323 // dz = fP3*AliTPCFastMath::FastAsin(delta)/fP4;
324 dz = fP3*TMath::ASin(delta)/fP4;
325 //
326 y+=dy;
327 z+=dz;
328
329
330 return 1;
331}
332
333
334//_____________________________________________________________________________
335Double_t AliTPCseed::GetPredictedChi2(const AliTPCclusterMI *c) const
336{
337 //-----------------------------------------------------------------
338 // This function calculates a predicted chi2 increment.
339 //-----------------------------------------------------------------
340 //Double_t r00=c->GetSigmaY2(), r01=0., r11=c->GetSigmaZ2();
341 Double_t r00=fErrorY2, r01=0., r11=fErrorZ2;
342 r00+=fC00; r01+=fC10; r11+=fC11;
343
344 Double_t det=r00*r11 - r01*r01;
345 if (TMath::Abs(det) < 1.e-10) {
346 //Int_t n=GetNumberOfClusters();
347 //if (n>4) cerr<<n<<" AliKalmanTrack warning: Singular matrix !\n";
348 return 1e10;
349 }
350 Double_t tmp=r00; r00=r11; r11=tmp; r01=-r01;
351
352 Double_t dy=c->GetY() - fP0, dz=c->GetZ() - fP1;
353
354 return (dy*r00*dy + 2*r01*dy*dz + dz*r11*dz)/det;
355}
356
357
358//_________________________________________________________________________________________
359
360
361Int_t AliTPCseed::Compare(const TObject *o) const {
362 //-----------------------------------------------------------------
363 // This function compares tracks according to the sector - for given sector according z
364 //-----------------------------------------------------------------
365 AliTPCseed *t=(AliTPCseed*)o;
366
367 if (fSort == 0){
368 if (t->fRelativeSector>fRelativeSector) return -1;
369 if (t->fRelativeSector<fRelativeSector) return 1;
370 Double_t z2 = t->GetZ();
371 Double_t z1 = GetZ();
372 if (z2>z1) return 1;
373 if (z2<z1) return -1;
374 return 0;
375 }
376 else {
377 Float_t f2 =1;
378 f2 = 1-20*TMath::Sqrt(t->fC44)/(TMath::Abs(t->GetC())+0.0066);
379 if (t->fBConstrain) f2=1.2;
380
381 Float_t f1 =1;
382 f1 = 1-20*TMath::Sqrt(fC44)/(TMath::Abs(GetC())+0.0066);
383
384 if (fBConstrain) f1=1.2;
385
386 if (t->GetNumberOfClusters()*f2 <GetNumberOfClusters()*f1) return -1;
387 else return +1;
388 }
389}
390
391
392
393
394//_____________________________________________________________________________
395Int_t AliTPCseed::Update(const AliTPCclusterMI *c, Double_t chisq, UInt_t /*index*/) {
396 //-----------------------------------------------------------------
397 // This function associates a cluster with this track.
398 //-----------------------------------------------------------------
399 Double_t r00=fErrorY2, r01=0., r11=fErrorZ2;
400
401 r00+=fC00; r01+=fC10; r11+=fC11;
402 Double_t det=r00*r11 - r01*r01;
403 Double_t tmp=r00; r00=r11/det; r11=tmp/det; r01=-r01/det;
404
405 Double_t k00=fC00*r00+fC10*r01, k01=fC00*r01+fC10*r11;
406 Double_t k10=fC10*r00+fC11*r01, k11=fC10*r01+fC11*r11;
407 Double_t k20=fC20*r00+fC21*r01, k21=fC20*r01+fC21*r11;
408 Double_t k30=fC30*r00+fC31*r01, k31=fC30*r01+fC31*r11;
409 Double_t k40=fC40*r00+fC41*r01, k41=fC40*r01+fC41*r11;
410
411 Double_t dy=c->GetY() - fP0, dz=c->GetZ() - fP1;
412 Double_t cur=fP4 + k40*dy + k41*dz, eta=fP2 + k20*dy + k21*dz;
413 if (TMath::Abs(cur*fX-eta) >= 0.9) {
414 return 0;
415 }
416
417 fP0 += k00*dy + k01*dz;
418 fP1 += k10*dy + k11*dz;
419 fP2 = eta;
420 fP3 += k30*dy + k31*dz;
421 fP4 = cur;
422
423 Double_t c01=fC10, c02=fC20, c03=fC30, c04=fC40;
424 Double_t c12=fC21, c13=fC31, c14=fC41;
425
426 fC00-=k00*fC00+k01*fC10; fC10-=k00*c01+k01*fC11;
427 fC20-=k00*c02+k01*c12; fC30-=k00*c03+k01*c13;
428 fC40-=k00*c04+k01*c14;
429
430 fC11-=k10*c01+k11*fC11;
431 fC21-=k10*c02+k11*c12; fC31-=k10*c03+k11*c13;
432 fC41-=k10*c04+k11*c14;
433
434 fC22-=k20*c02+k21*c12; fC32-=k20*c03+k21*c13;
435 fC42-=k20*c04+k21*c14;
436
437 fC33-=k30*c03+k31*c13;
438 fC43-=k40*c03+k41*c13;
439
440 fC44-=k40*c04+k41*c14;
441
442 Int_t n=GetNumberOfClusters();
443 // fIndex[n]=index;
444 SetNumberOfClusters(n+1);
445 SetChi2(GetChi2()+chisq);
446
447 return 1;
448}
449
450
451
452//_____________________________________________________________________________
453void AliTPCseed::CookdEdx(Double_t low, Double_t up,Int_t i1, Int_t i2, Bool_t onlyused) {
454 //-----------------------------------------------------------------
455 // This funtion calculates dE/dX within the "low" and "up" cuts.
456 //-----------------------------------------------------------------
457
458 Float_t amp[200];
459 Float_t angular[200];
460 Float_t weight[200];
461 Int_t index[200];
462 //Int_t nc = 0;
463 // TClonesArray & arr = *fPoints;
464 Float_t meanlog = 100.;
465
466 Float_t mean[4] = {0,0,0,0};
467 Float_t sigma[4] = {1000,1000,1000,1000};
468 Int_t nc[4] = {0,0,0,0};
469 Float_t norm[4] = {1000,1000,1000,1000};
470 //
471 //
472 fNShared =0;
473
474 for (Int_t of =0; of<4; of++){
475 for (Int_t i=of+i1;i<i2;i+=4)
476 {
477 Int_t index = fIndex[i];
478 if (index<0||index&0x8000) continue;
479
480 //AliTPCTrackPoint * point = (AliTPCTrackPoint *) arr.At(i);
481 AliTPCTrackerPoint * point = GetTrackPoint(i);
482 //AliTPCTrackerPoint * pointm = GetTrackPoint(i-1);
483 //AliTPCTrackerPoint * pointp = 0;
484 //if (i<159) pointp = GetTrackPoint(i+1);
485
486 if (point==0) continue;
487 AliTPCclusterMI * cl = fClusterPointer[i];
488 if (cl==0) continue;
489 if (onlyused && (!cl->IsUsed(10))) continue;
490 if (cl->IsUsed(11)) {
491 fNShared++;
492 continue;
493 }
494 Int_t type = cl->GetType();
495 //if (point->fIsShared){
496 // fNShared++;
497 // continue;
498 //}
499 //if (pointm)
500 // if (pointm->fIsShared) continue;
501 //if (pointp)
502 // if (pointp->fIsShared) continue;
503
504 if (type<0) continue;
505 //if (type>10) continue;
506 //if (point->GetErrY()==0) continue;
507 //if (point->GetErrZ()==0) continue;
508
509 //Float_t ddy = (point->GetY()-cl->GetY())/point->GetErrY();
510 //Float_t ddz = (point->GetZ()-cl->GetZ())/point->GetErrZ();
511 //if ((ddy*ddy+ddz*ddz)>10) continue;
512
513
514 // if (point->GetCPoint().GetMax()<5) continue;
515 if (cl->GetMax()<5) continue;
516 Float_t angley = point->GetAngleY();
517 Float_t anglez = point->GetAngleZ();
518
519 Float_t rsigmay2 = point->GetSigmaY();
520 Float_t rsigmaz2 = point->GetSigmaZ();
521 /*
522 Float_t ns = 1.;
523 if (pointm){
524 rsigmay += pointm->GetTPoint().GetSigmaY();
525 rsigmaz += pointm->GetTPoint().GetSigmaZ();
526 ns+=1.;
527 }
528 if (pointp){
529 rsigmay += pointp->GetTPoint().GetSigmaY();
530 rsigmaz += pointp->GetTPoint().GetSigmaZ();
531 ns+=1.;
532 }
533 rsigmay/=ns;
534 rsigmaz/=ns;
535 */
536
537 Float_t rsigma = TMath::Sqrt(rsigmay2*rsigmaz2);
538
539 Float_t ampc = 0; // normalization to the number of electrons
540 if (i>64){
541 // ampc = 1.*point->GetCPoint().GetMax();
542 ampc = 1.*cl->GetMax();
543 //ampc = 1.*point->GetCPoint().GetQ();
544 // AliTPCClusterPoint & p = point->GetCPoint();
545 // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.6)) - TMath::Abs(p.GetY()/0.6)+0.5);
546 // Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
547 //Float_t dz =
548 // TMath::Abs( Int_t(iz) - iz + 0.5);
549 //ampc *= 1.15*(1-0.3*dy);
550 //ampc *= 1.15*(1-0.3*dz);
551 // Float_t zfactor = (AliTPCReconstructor::GetCtgRange()-0.0004*TMath::Abs(point->GetCPoint().GetZ()));
552 //ampc *=zfactor;
553 }
554 else{
555 //ampc = 1.0*point->GetCPoint().GetMax();
556 ampc = 1.0*cl->GetMax();
557 //ampc = 1.0*point->GetCPoint().GetQ();
558 //AliTPCClusterPoint & p = point->GetCPoint();
559 // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.4)) - TMath::Abs(p.GetY()/0.4)+0.5);
560 //Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
561 //Float_t dz =
562 // TMath::Abs( Int_t(iz) - iz + 0.5);
563
564 //ampc *= 1.15*(1-0.3*dy);
565 //ampc *= 1.15*(1-0.3*dz);
566 // Float_t zfactor = (1.02-0.000*TMath::Abs(point->GetCPoint().GetZ()));
567 //ampc *=zfactor;
568
569 }
570 ampc *= 2.0; // put mean value to channel 50
571 //ampc *= 0.58; // put mean value to channel 50
572 Float_t w = 1.;
573 // if (type>0) w = 1./(type/2.-0.5);
574 // Float_t z = TMath::Abs(cl->GetZ());
575 if (i<64) {
576 ampc /= 0.6;
577 //ampc /= (1+0.0008*z);
578 } else
579 if (i>128){
580 ampc /=1.5;
581 //ampc /= (1+0.0008*z);
582 }else{
583 //ampc /= (1+0.0008*z);
584 }
585
586 if (type<0) { //amp at the border - lower weight
587 // w*= 2.;
588
589 continue;
590 }
591 if (rsigma>1.5) ampc/=1.3; // if big backround
592 amp[nc[of]] = ampc;
593 angular[nc[of]] = TMath::Sqrt(1.+angley*angley+anglez*anglez);
594 weight[nc[of]] = w;
595 nc[of]++;
596 }
597
598 TMath::Sort(nc[of],amp,index,kFALSE);
599 Float_t sumamp=0;
600 Float_t sumamp2=0;
601 Float_t sumw=0;
602 //meanlog = amp[index[Int_t(nc[of]*0.33)]];
603 meanlog = 50;
604 for (Int_t i=int(nc[of]*low+0.5);i<int(nc[of]*up+0.5);i++){
605 Float_t ampl = amp[index[i]]/angular[index[i]];
606 ampl = meanlog*TMath::Log(1.+ampl/meanlog);
607 //
608 sumw += weight[index[i]];
609 sumamp += weight[index[i]]*ampl;
610 sumamp2 += weight[index[i]]*ampl*ampl;
611 norm[of] += angular[index[i]]*weight[index[i]];
612 }
613 if (sumw<1){
614 SetdEdx(0);
615 }
616 else {
617 norm[of] /= sumw;
618 mean[of] = sumamp/sumw;
619 sigma[of] = sumamp2/sumw-mean[of]*mean[of];
620 if (sigma[of]>0.1)
621 sigma[of] = TMath::Sqrt(sigma[of]);
622 else
623 sigma[of] = 1000;
624
625 mean[of] = (TMath::Exp(mean[of]/meanlog)-1)*meanlog;
626 //mean *=(1-0.02*(sigma/(mean*0.17)-1.));
627 //mean *=(1-0.1*(norm-1.));
628 }
629 }
630
631 Float_t dedx =0;
632 fSdEdx =0;
633 fMAngular =0;
634 // mean[0]*= (1-0.05*(sigma[0]/(0.01+mean[1]*0.18)-1));
635 // mean[1]*= (1-0.05*(sigma[1]/(0.01+mean[0]*0.18)-1));
636
637
638 // dedx = (mean[0]* TMath::Sqrt((1.+nc[0]))+ mean[1]* TMath::Sqrt((1.+nc[1])) )/
639 // ( TMath::Sqrt((1.+nc[0]))+TMath::Sqrt((1.+nc[1])));
640
641 Int_t norm2 = 0;
642 Int_t norm3 = 0;
643 for (Int_t i =0;i<4;i++){
644 if (nc[i]>2&&nc[i]<1000){
645 dedx += mean[i] *nc[i];
646 fSdEdx += sigma[i]*(nc[i]-2);
647 fMAngular += norm[i] *nc[i];
648 norm2 += nc[i];
649 norm3 += nc[i]-2;
650 }
651 fDEDX[i] = mean[i];
652 fSDEDX[i] = sigma[i];
653 fNCDEDX[i]= nc[i];
654 }
655
656 if (norm3>0){
657 dedx /=norm2;
658 fSdEdx /=norm3;
659 fMAngular/=norm2;
660 }
661 else{
662 SetdEdx(0);
663 return;
664 }
665 // Float_t dedx1 =dedx;
666 /*
667 dedx =0;
668 for (Int_t i =0;i<4;i++){
669 if (nc[i]>2&&nc[i]<1000){
670 mean[i] = mean[i]*(1-0.12*(sigma[i]/(fSdEdx)-1.));
671 dedx += mean[i] *nc[i];
672 }
673 fDEDX[i] = mean[i];
674 }
675 dedx /= norm2;
676 */
677
678
679 SetdEdx(dedx);
680
681 //mi deDX
682
683
684
685 //Very rough PID
686 Double_t p=TMath::Sqrt((1.+ GetTgl()*GetTgl())/(Get1Pt()*Get1Pt()));
687
688 if (p<0.6) {
689 if (dedx < 39.+ 12./(p+0.25)/(p+0.25)) { SetMass(0.13957); return;}
690 if (dedx < 39.+ 12./p/p) { SetMass(0.49368); return;}
691 SetMass(0.93827); return;
692 }
693
694 if (p<1.2) {
695 if (dedx < 39.+ 12./(p+0.25)/(p+0.25)) { SetMass(0.13957); return;}
696 SetMass(0.93827); return;
697 }
698
699 SetMass(0.13957); return;
700
701}
702Double_t AliTPCseed::Bethe(Double_t bg){
703 //
704 // This is the Bethe-Bloch function normalised to 1 at the minimum
705 //
706 Double_t bg2=bg*bg;
707 Double_t bethe;
708 if (bg<3.5e1)
709 bethe=(1.+ bg2)/bg2*(log(5940*bg2) - bg2/(1.+ bg2));
710 else // Density effect ( approximately :)
711 bethe=1.15*(1.+ bg2)/bg2*(log(3.5*5940*bg) - bg2/(1.+ bg2));
712 return bethe/11.091;
713}
714
715void AliTPCseed::CookPID()
716{
717 //
718 // cook PID information according dEdx
719 //
720 Double_t fRange = 10.;
721 Double_t fRes = 0.1;
722 Double_t fMIP = 47.;
723 //
724 Int_t ns=AliPID::kSPECIES;
725 Double_t sumr =0;
726 for (Int_t j=0; j<ns; j++) {
727 Double_t mass=AliPID::ParticleMass(j);
728 Double_t mom=P();
729 Double_t dedx=fdEdx/fMIP;
730 Double_t bethe=Bethe(mom/mass);
731 Double_t sigma=fRes*bethe;
732 if (sigma>0.001){
733 if (TMath::Abs(dedx-bethe) > fRange*sigma) {
734 fTPCr[j]=TMath::Exp(-0.5*fRange*fRange)/sigma;
735 sumr+=fTPCr[j];
736 continue;
737 }
738 fTPCr[j]=TMath::Exp(-0.5*(dedx-bethe)*(dedx-bethe)/(sigma*sigma))/sigma;
739 sumr+=fTPCr[j];
740 }
741 else{
742 fTPCr[j]=1.;
743 sumr+=fTPCr[j];
744 }
745 }
746 for (Int_t j=0; j<ns; j++) {
747 fTPCr[j]/=sumr; //normalize
748 }
749}
750
751/*
752void AliTPCseed::CookdEdx2(Double_t low, Double_t up) {
753 //-----------------------------------------------------------------
754 // This funtion calculates dE/dX within the "low" and "up" cuts.
755 //-----------------------------------------------------------------
756
757 Float_t amp[200];
758 Float_t angular[200];
759 Float_t weight[200];
760 Int_t index[200];
761 Bool_t inlimit[200];
762 for (Int_t i=0;i<200;i++) inlimit[i]=kFALSE;
763 for (Int_t i=0;i<200;i++) amp[i]=10000;
764 for (Int_t i=0;i<200;i++) angular[i]= 1;;
765
766
767 //
768 Float_t meanlog = 100.;
769 Int_t indexde[4]={0,64,128,160};
770
771 Float_t amean =0;
772 Float_t asigma =0;
773 Float_t anc =0;
774 Float_t anorm =0;
775
776 Float_t mean[4] = {0,0,0,0};
777 Float_t sigma[4] = {1000,1000,1000,1000};
778 Int_t nc[4] = {0,0,0,0};
779 Float_t norm[4] = {1000,1000,1000,1000};
780 //
781 //
782 fNShared =0;
783
784 // for (Int_t of =0; of<3; of++){
785 // for (Int_t i=indexde[of];i<indexde[of+1];i++)
786 for (Int_t i =0; i<160;i++)
787 {
788 AliTPCTrackPoint * point = GetTrackPoint(i);
789 if (point==0) continue;
790 if (point->fIsShared){
791 fNShared++;
792 continue;
793 }
794 Int_t type = point->GetCPoint().GetType();
795 if (type<0) continue;
796 if (point->GetCPoint().GetMax()<5) continue;
797 Float_t angley = point->GetTPoint().GetAngleY();
798 Float_t anglez = point->GetTPoint().GetAngleZ();
799 Float_t rsigmay = point->GetCPoint().GetSigmaY();
800 Float_t rsigmaz = point->GetCPoint().GetSigmaZ();
801 Float_t rsigma = TMath::Sqrt(rsigmay*rsigmaz);
802
803 Float_t ampc = 0; // normalization to the number of electrons
804 if (i>64){
805 ampc = point->GetCPoint().GetMax();
806 }
807 else{
808 ampc = point->GetCPoint().GetMax();
809 }
810 ampc *= 2.0; // put mean value to channel 50
811 // ampc *= 0.565; // put mean value to channel 50
812
813 Float_t w = 1.;
814 Float_t z = TMath::Abs(point->GetCPoint().GetZ());
815 if (i<64) {
816 ampc /= 0.63;
817 } else
818 if (i>128){
819 ampc /=1.51;
820 }
821 if (type<0) { //amp at the border - lower weight
822 continue;
823 }
824 if (rsigma>1.5) ampc/=1.3; // if big backround
825 angular[i] = TMath::Sqrt(1.+angley*angley+anglez*anglez);
826 amp[i] = ampc/angular[i];
827 weight[i] = w;
828 anc++;
829 }
830
831 TMath::Sort(159,amp,index,kFALSE);
832 for (Int_t i=int(anc*low+0.5);i<int(anc*up+0.5);i++){
833 inlimit[index[i]] = kTRUE; // take all clusters
834 }
835
836 // meanlog = amp[index[Int_t(anc*0.3)]];
837 meanlog =10000.;
838 for (Int_t of =0; of<3; of++){
839 Float_t sumamp=0;
840 Float_t sumamp2=0;
841 Float_t sumw=0;
842 for (Int_t i=indexde[of];i<indexde[of+1];i++)
843 {
844 if (inlimit[i]==kFALSE) continue;
845 Float_t ampl = amp[i];
846 ///angular[i];
847 ampl = meanlog*TMath::Log(1.+ampl/meanlog);
848 //
849 sumw += weight[i];
850 sumamp += weight[i]*ampl;
851 sumamp2 += weight[i]*ampl*ampl;
852 norm[of] += angular[i]*weight[i];
853 nc[of]++;
854 }
855 if (sumw<1){
856 SetdEdx(0);
857 }
858 else {
859 norm[of] /= sumw;
860 mean[of] = sumamp/sumw;
861 sigma[of] = sumamp2/sumw-mean[of]*mean[of];
862 if (sigma[of]>0.1)
863 sigma[of] = TMath::Sqrt(sigma[of]);
864 else
865 sigma[of] = 1000;
866 mean[of] = (TMath::Exp(mean[of]/meanlog)-1)*meanlog;
867 }
868 }
869
870 Float_t dedx =0;
871 fSdEdx =0;
872 fMAngular =0;
873 //
874 Int_t norm2 = 0;
875 Int_t norm3 = 0;
876 Float_t www[3] = {12.,14.,17.};
877 //Float_t www[3] = {1.,1.,1.};
878
879 for (Int_t i =0;i<3;i++){
880 if (nc[i]>2&&nc[i]<1000){
881 dedx += mean[i] *nc[i]*www[i]/sigma[i];
882 fSdEdx += sigma[i]*(nc[i]-2)*www[i]/sigma[i];
883 fMAngular += norm[i] *nc[i];
884 norm2 += nc[i]*www[i]/sigma[i];
885 norm3 += (nc[i]-2)*www[i]/sigma[i];
886 }
887 fDEDX[i] = mean[i];
888 fSDEDX[i] = sigma[i];
889 fNCDEDX[i]= nc[i];
890 }
891
892 if (norm3>0){
893 dedx /=norm2;
894 fSdEdx /=norm3;
895 fMAngular/=norm2;
896 }
897 else{
898 SetdEdx(0);
899 return;
900 }
901 // Float_t dedx1 =dedx;
902
903 dedx =0;
904 Float_t norm4 = 0;
905 for (Int_t i =0;i<3;i++){
906 if (nc[i]>2&&nc[i]<1000&&sigma[i]>3){
907 //mean[i] = mean[i]*(1+0.08*(sigma[i]/(fSdEdx)-1.));
908 dedx += mean[i] *(nc[i])/(sigma[i]);
909 norm4 += (nc[i])/(sigma[i]);
910 }
911 fDEDX[i] = mean[i];
912 }
913 if (norm4>0) dedx /= norm4;
914
915
916
917 SetdEdx(dedx);
918
919 //mi deDX
920
921}
922*/