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The script to add the FMD analysis to the train
[u/mrichter/AliRoot.git] / TPC / AliTPCseed.cxx
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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#include "AliTPCReconstructor.h"
27#include "AliTPCClusterParam.h"
28#include "AliTPCCalPad.h"
29#include "AliTPCCalROC.h"
30#include "AliTPCcalibDB.h"
31#include "AliTPCParam.h"
32#include "AliMathBase.h"
33
34
35
36ClassImp(AliTPCseed)
37
38
39
40AliTPCseed::AliTPCseed():
41 AliTPCtrack(),
42 fEsd(0x0),
43 fClusterOwner(kFALSE),
44 fRow(0),
45 fSector(-1),
46 fRelativeSector(-1),
47 fCurrentSigmaY2(1e10),
48 fCurrentSigmaZ2(1e10),
49 fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
50 fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
51 fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
52 fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
53 //
54 fErrorY2(1e10),
55 fErrorZ2(1e10),
56 fCurrentCluster(0x0),
57 fCurrentClusterIndex1(-1),
58 fInDead(kFALSE),
59 fIsSeeding(kFALSE),
60 fNoCluster(0),
61 fSort(0),
62 fBSigned(kFALSE),
63 fSeedType(0),
64 fSeed1(-1),
65 fSeed2(-1),
66 fMAngular(0),
67 fCircular(0),
68 fClusterMap(159),
69 fSharedMap(159)
70{
71 //
72 for (Int_t i=0;i<160;i++) SetClusterIndex2(i,-3);
73 for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
74 for (Int_t i=0;i<3;i++) fKinkIndexes[i]=0;
75 for (Int_t i=0;i<AliPID::kSPECIES;i++) fTPCr[i]=0.2;
76 for (Int_t i=0;i<4;i++) {
77 fDEDX[i] = 0.;
78 fSDEDX[i] = 1e10;
79 fNCDEDX[i] = 0;
80 }
81 for (Int_t i=0;i<12;i++) fOverlapLabels[i] = -1;
82 // for (Int_t i=0;i<160;i++) fClusterMap[i]=kFALSE;
83 //for (Int_t i=0;i<160;i++) fSharedMap[i]=kFALSE;
84 fClusterMap.ResetAllBits(kFALSE);
85 fSharedMap.ResetAllBits(kFALSE);
86
87}
88
89AliTPCseed::AliTPCseed(const AliTPCseed &s, Bool_t clusterOwner):
90 AliTPCtrack(s),
91 fEsd(0x0),
92 fClusterOwner(clusterOwner),
93 fRow(0),
94 fSector(-1),
95 fRelativeSector(-1),
96 fCurrentSigmaY2(-1),
97 fCurrentSigmaZ2(-1),
98 fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
99 fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
100 fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
101 fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
102 fErrorY2(1e10),
103 fErrorZ2(1e10),
104 fCurrentCluster(0x0),
105 fCurrentClusterIndex1(-1),
106 fInDead(kFALSE),
107 fIsSeeding(kFALSE),
108 fNoCluster(0),
109 fSort(0),
110 fBSigned(kFALSE),
111 fSeedType(0),
112 fSeed1(-1),
113 fSeed2(-1),
114 fMAngular(0),
115 fCircular(0),
116 fClusterMap(s.fClusterMap),
117 fSharedMap(s.fSharedMap)
118{
119 //---------------------
120 // dummy copy constructor
121 //-------------------------
122 for (Int_t i=0;i<160;i++) {
123 fClusterPointer[i]=0;
124 if (fClusterOwner){
125 if (s.fClusterPointer[i])
126 fClusterPointer[i] = new AliTPCclusterMI(*(s.fClusterPointer[i]));
127 }else{
128 fClusterPointer[i] = s.fClusterPointer[i];
129 }
130 fTrackPoints[i] = s.fTrackPoints[i];
131 }
132 for (Int_t i=0;i<160;i++) fIndex[i] = s.fIndex[i];
133 for (Int_t i=0;i<AliPID::kSPECIES;i++) fTPCr[i]=s.fTPCr[i];
134 for (Int_t i=0;i<4;i++) {
135 fDEDX[i] = s.fDEDX[i];
136 fSDEDX[i] = s.fSDEDX[i];
137 fNCDEDX[i] = s.fNCDEDX[i];
138 }
139 for (Int_t i=0;i<12;i++) fOverlapLabels[i] = s.fOverlapLabels[i];
140
141}
142
143
144AliTPCseed::AliTPCseed(const AliTPCtrack &t):
145 AliTPCtrack(t),
146 fEsd(0x0),
147 fClusterOwner(kFALSE),
148 fRow(0),
149 fSector(-1),
150 fRelativeSector(-1),
151 fCurrentSigmaY2(-1),
152 fCurrentSigmaZ2(-1),
153 fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
154 fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
155 fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
156 fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
157 fErrorY2(1e10),
158 fErrorZ2(1e10),
159 fCurrentCluster(0x0),
160 fCurrentClusterIndex1(-1),
161 fInDead(kFALSE),
162 fIsSeeding(kFALSE),
163 fNoCluster(0),
164 fSort(0),
165 fBSigned(kFALSE),
166 fSeedType(0),
167 fSeed1(-1),
168 fSeed2(-1),
169 fMAngular(0),
170 fCircular(0),
171 fClusterMap(159),
172 fSharedMap(159)
173{
174 //
175 // Constructor from AliTPCtrack
176 //
177 fFirstPoint =0;
178 for (Int_t i=0;i<5;i++) fTPCr[i]=0.2;
179 for (Int_t i=0;i<160;i++) {
180 fClusterPointer[i] = 0;
181 Int_t index = t.GetClusterIndex(i);
182 if (index>=-1){
183 SetClusterIndex2(i,index);
184 }
185 else{
186 SetClusterIndex2(i,-3);
187 }
188 }
189 for (Int_t i=0;i<4;i++) {
190 fDEDX[i] = 0.;
191 fSDEDX[i] = 1e10;
192 fNCDEDX[i] = 0;
193 }
194 for (Int_t i=0;i<12;i++) fOverlapLabels[i] = -1;
195
196 //for (Int_t i=0;i<160;i++) fClusterMap[i]=kFALSE;
197 //for (Int_t i=0;i<160;i++) fSharedMap[i]=kFALSE;
198 fClusterMap.ResetAllBits(kFALSE);
199 fSharedMap.ResetAllBits(kFALSE);
200
201}
202
203AliTPCseed::AliTPCseed(Double_t xr, Double_t alpha, const Double_t xx[5],
204 const Double_t cc[15], Int_t index):
205 AliTPCtrack(xr, alpha, xx, cc, index),
206 fEsd(0x0),
207 fClusterOwner(kFALSE),
208 fRow(0),
209 fSector(-1),
210 fRelativeSector(-1),
211 fCurrentSigmaY2(-1),
212 fCurrentSigmaZ2(-1),
213 fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
214 fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
215 fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
216 fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
217 fErrorY2(1e10),
218 fErrorZ2(1e10),
219 fCurrentCluster(0x0),
220 fCurrentClusterIndex1(-1),
221 fInDead(kFALSE),
222 fIsSeeding(kFALSE),
223 fNoCluster(0),
224 fSort(0),
225 fBSigned(kFALSE),
226 fSeedType(0),
227 fSeed1(-1),
228 fSeed2(-1),
229 fMAngular(0),
230 fCircular(0),
231 fClusterMap(159),
232 fSharedMap(159)
233{
234 //
235 // Constructor
236 //
237 fFirstPoint =0;
238 for (Int_t i=0;i<160;i++) SetClusterIndex2(i,-3);
239 for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
240 for (Int_t i=0;i<5;i++) fTPCr[i]=0.2;
241 for (Int_t i=0;i<4;i++) {
242 fDEDX[i] = 0.;
243 fSDEDX[i] = 1e10;
244 fNCDEDX[i] = 0;
245 }
246 for (Int_t i=0;i<12;i++) fOverlapLabels[i] = -1;
247}
248
249AliTPCseed::~AliTPCseed(){
250 //
251 // destructor
252 fNoCluster =0;
253 if (fClusterOwner){
254 for (Int_t icluster=0; icluster<160; icluster++){
255 delete fClusterPointer[icluster];
256 }
257 }
258
259}
260//_________________________________________________
261AliTPCseed & AliTPCseed::operator=(const AliTPCseed &param)
262{
263 //
264 // assignment operator
265 //
266 if(this!=&param){
267 AliTPCtrack::operator=(param);
268 fEsd =param.fEsd;
269 for(Int_t i = 0;i<160;++i)fClusterPointer[i] = param.fClusterPointer[i]; // this is not allocated by AliTPCSeed
270 fClusterOwner = param.fClusterOwner;
271 // leave out fPoint, they are also not copied in the copy ctor...
272 // but deleted in the dtor... strange...
273 fRow = param.fRow;
274 fSector = param.fSector;
275 fRelativeSector = param.fRelativeSector;
276 fCurrentSigmaY2 = param.fCurrentSigmaY2;
277 fCurrentSigmaZ2 = param.fCurrentSigmaZ2;
278 fErrorY2 = param.fErrorY2;
279 fErrorZ2 = param.fErrorZ2;
280 fCurrentCluster = param.fCurrentCluster; // this is not allocated by AliTPCSeed
281 fCurrentClusterIndex1 = param.fCurrentClusterIndex1;
282 fInDead = param.fInDead;
283 fIsSeeding = param.fIsSeeding;
284 fNoCluster = param.fNoCluster;
285 fSort = param.fSort;
286 fBSigned = param.fBSigned;
287 for(Int_t i = 0;i<4;++i){
288 fDEDX[i] = param.fDEDX[i];
289 fSDEDX[i] = param.fSDEDX[i];
290 fNCDEDX[i] = param.fNCDEDX[i];
291 }
292 for(Int_t i = 0;i<AliPID::kSPECIES;++i)fTPCr[i] = param.fTPCr[i];
293
294 fSeedType = param.fSeedType;
295 fSeed1 = param.fSeed1;
296 fSeed2 = param.fSeed2;
297 for(Int_t i = 0;i<12;++i)fOverlapLabels[i] = param.fOverlapLabels[i];
298 fMAngular = param.fMAngular;
299 fCircular = param.fCircular;
300 for(int i = 0;i<160;++i)fTrackPoints[i] = param.fTrackPoints[i];
301 fClusterMap = param.fClusterMap;
302 fSharedMap = param.fSharedMap;
303 }
304 return (*this);
305}
306//____________________________________________________
307AliTPCTrackerPoint * AliTPCseed::GetTrackPoint(Int_t i)
308{
309 //
310 //
311 return &fTrackPoints[i];
312}
313
314
315
316Double_t AliTPCseed::GetDensityFirst(Int_t n)
317{
318 //
319 //
320 // return cluster for n rows bellow first point
321 Int_t nfoundable = 1;
322 Int_t nfound = 1;
323 for (Int_t i=fLastPoint-1;i>0&&nfoundable<n; i--){
324 Int_t index = GetClusterIndex2(i);
325 if (index!=-1) nfoundable++;
326 if (index>0) nfound++;
327 }
328 if (nfoundable<n) return 0;
329 return Double_t(nfound)/Double_t(nfoundable);
330
331}
332
333
334void AliTPCseed::GetClusterStatistic(Int_t first, Int_t last, Int_t &found, Int_t &foundable, Int_t &shared, Bool_t plus2)
335{
336 // get cluster stat. on given region
337 //
338 found = 0;
339 foundable = 0;
340 shared =0;
341 for (Int_t i=first;i<last; i++){
342 Int_t index = GetClusterIndex2(i);
343 if (index!=-1) foundable++;
344 if (index&0x8000) continue;
345 if (fClusterPointer[i]) {
346 found++;
347 }
348 else
349 continue;
350
351 if (fClusterPointer[i]->IsUsed(10)) {
352 shared++;
353 continue;
354 }
355 if (!plus2) continue; //take also neighborhoud
356 //
357 if ( (i>0) && fClusterPointer[i-1]){
358 if (fClusterPointer[i-1]->IsUsed(10)) {
359 shared++;
360 continue;
361 }
362 }
363 if ( fClusterPointer[i+1]){
364 if (fClusterPointer[i+1]->IsUsed(10)) {
365 shared++;
366 continue;
367 }
368 }
369
370 }
371 //if (shared>found){
372 //Error("AliTPCseed::GetClusterStatistic","problem\n");
373 //}
374}
375
376
377
378
379
380void AliTPCseed::Reset(Bool_t all)
381{
382 //
383 //
384 SetNumberOfClusters(0);
385 fNFoundable = 0;
386 SetChi2(0);
387 ResetCovariance(10.);
388 /*
389 if (fTrackPoints){
390 for (Int_t i=0;i<8;i++){
391 delete [] fTrackPoints[i];
392 }
393 delete fTrackPoints;
394 fTrackPoints =0;
395 }
396 */
397
398 if (all){
399 for (Int_t i=0;i<200;i++) SetClusterIndex2(i,-3);
400 for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
401 }
402
403}
404
405
406void AliTPCseed::Modify(Double_t factor)
407{
408
409 //------------------------------------------------------------------
410 //This function makes a track forget its history :)
411 //------------------------------------------------------------------
412 if (factor<=0) {
413 ResetCovariance(10.);
414 return;
415 }
416 ResetCovariance(factor);
417
418 SetNumberOfClusters(0);
419 fNFoundable =0;
420 SetChi2(0);
421 fRemoval = 0;
422 fCurrentSigmaY2 = 0.000005;
423 fCurrentSigmaZ2 = 0.000005;
424 fNoCluster = 0;
425 //fFirstPoint = 160;
426 //fLastPoint = 0;
427}
428
429
430
431
432Int_t AliTPCseed::GetProlongation(Double_t xk, Double_t &y, Double_t & z) const
433{
434 //-----------------------------------------------------------------
435 // This function find proloncation of a track to a reference plane x=xk.
436 // doesn't change internal state of the track
437 //-----------------------------------------------------------------
438
439 Double_t x1=GetX(), x2=x1+(xk-x1), dx=x2-x1;
440
441 if (TMath::Abs(GetSnp()+GetC()*dx) >= AliTPCReconstructor::GetMaxSnpTrack()) {
442 return 0;
443 }
444
445 // Double_t y1=fP0, z1=fP1;
446 Double_t c1=GetSnp(), r1=sqrt((1.-c1)*(1.+c1));
447 Double_t c2=c1 + GetC()*dx, r2=sqrt((1.-c2)*(1.+c2));
448
449 y = GetY();
450 z = GetZ();
451 //y += dx*(c1+c2)/(r1+r2);
452 //z += dx*(c1+c2)/(c1*r2 + c2*r1)*fP3;
453
454 Double_t dy = dx*(c1+c2)/(r1+r2);
455 Double_t dz = 0;
456 //
457 Double_t delta = GetC()*dx*(c1+c2)/(c1*r2 + c2*r1);
458 /*
459 if (TMath::Abs(delta)>0.0001){
460 dz = fP3*TMath::ASin(delta)/fP4;
461 }else{
462 dz = dx*fP3*(c1+c2)/(c1*r2 + c2*r1);
463 }
464 */
465 // dz = fP3*AliTPCFastMath::FastAsin(delta)/fP4;
466 dz = GetTgl()*TMath::ASin(delta)/GetC();
467 //
468 y+=dy;
469 z+=dz;
470
471
472 return 1;
473}
474
475
476//_____________________________________________________________________________
477Double_t AliTPCseed::GetPredictedChi2(const AliCluster *c) const
478{
479 //-----------------------------------------------------------------
480 // This function calculates a predicted chi2 increment.
481 //-----------------------------------------------------------------
482 Double_t p[2]={c->GetY(), c->GetZ()};
483 Double_t cov[3]={fErrorY2, 0., fErrorZ2};
484
485 Float_t dx = ((AliTPCclusterMI*)c)->GetX()-GetX();
486 if (TMath::Abs(dx)>0){
487 Float_t ty = TMath::Tan(TMath::ASin(GetSnp()));
488 Float_t dy = dx*ty;
489 Float_t dz = dx*TMath::Sqrt(1.+ty*ty)*GetTgl();
490 p[0] = c->GetY()-dy;
491 p[1] = c->GetZ()-dz;
492 }
493 return AliExternalTrackParam::GetPredictedChi2(p,cov);
494}
495
496//_________________________________________________________________________________________
497
498
499Int_t AliTPCseed::Compare(const TObject *o) const {
500 //-----------------------------------------------------------------
501 // This function compares tracks according to the sector - for given sector according z
502 //-----------------------------------------------------------------
503 AliTPCseed *t=(AliTPCseed*)o;
504
505 if (fSort == 0){
506 if (t->fRelativeSector>fRelativeSector) return -1;
507 if (t->fRelativeSector<fRelativeSector) return 1;
508 Double_t z2 = t->GetZ();
509 Double_t z1 = GetZ();
510 if (z2>z1) return 1;
511 if (z2<z1) return -1;
512 return 0;
513 }
514 else {
515 Float_t f2 =1;
516 f2 = 1-20*TMath::Sqrt(t->GetSigma1Pt2())/(t->OneOverPt()+0.0066);
517 if (t->fBConstrain) f2=1.2;
518
519 Float_t f1 =1;
520 f1 = 1-20*TMath::Sqrt(GetSigma1Pt2())/(OneOverPt()+0.0066);
521
522 if (fBConstrain) f1=1.2;
523
524 if (t->GetNumberOfClusters()*f2 <GetNumberOfClusters()*f1) return -1;
525 else return +1;
526 }
527}
528
529
530
531
532//_____________________________________________________________________________
533Bool_t AliTPCseed::Update(const AliCluster *c, Double_t chisq, Int_t index)
534{
535 //-----------------------------------------------------------------
536 // This function associates a cluster with this track.
537 //-----------------------------------------------------------------
538 Int_t n=GetNumberOfClusters();
539 Int_t idx=GetClusterIndex(n); // save the current cluster index
540
541 AliCluster cl(*c); cl.SetSigmaY2(fErrorY2); cl.SetSigmaZ2(fErrorZ2);
542 Float_t dx = ((AliTPCclusterMI*)c)->GetX()-GetX();
543 if (TMath::Abs(dx)>0){
544 Float_t ty = TMath::Tan(TMath::ASin(GetSnp()));
545 Float_t dy = dx*ty;
546 Float_t dz = dx*TMath::Sqrt(1.+ty*ty)*GetTgl();
547 cl.SetY(c->GetY()-dy);
548 cl.SetZ(c->GetZ()-dz);
549 }
550
551 if (!AliTPCtrack::Update(&cl,chisq,index)) return kFALSE;
552
553 if (fCMeanSigmaY2p30<0){
554 fCMeanSigmaY2p30= c->GetSigmaY2(); //! current mean sigma Y2 - mean30%
555 fCMeanSigmaZ2p30= c->GetSigmaZ2(); //! current mean sigma Z2 - mean30%
556 fCMeanSigmaY2p30R = 1; //! current mean sigma Y2 - mean5%
557 fCMeanSigmaZ2p30R = 1; //! current mean sigma Z2 - mean5%
558 }
559 //
560 fCMeanSigmaY2p30= 0.70*fCMeanSigmaY2p30 +0.30*c->GetSigmaY2();
561 fCMeanSigmaZ2p30= 0.70*fCMeanSigmaZ2p30 +0.30*c->GetSigmaZ2();
562 if (fCurrentSigmaY2>0){
563 fCMeanSigmaY2p30R = 0.7*fCMeanSigmaY2p30R +0.3*c->GetSigmaY2()/fCurrentSigmaY2;
564 fCMeanSigmaZ2p30R = 0.7*fCMeanSigmaZ2p30R +0.3*c->GetSigmaZ2()/fCurrentSigmaZ2;
565 }
566
567
568 SetClusterIndex(n,idx); // restore the current cluster index
569 return kTRUE;
570}
571
572
573
574//_____________________________________________________________________________
575Float_t AliTPCseed::CookdEdx(Double_t low, Double_t up,Int_t i1, Int_t i2, Bool_t /* onlyused */) {
576 //-----------------------------------------------------------------
577 // This funtion calculates dE/dX within the "low" and "up" cuts.
578 //-----------------------------------------------------------------
579 AliTPCParam *param = AliTPCcalibDB::Instance()->GetParameters();
580 Int_t row0 = param->GetNRowLow();
581 Int_t row1 = row0+param->GetNRowUp1();
582 Int_t row2 = row1+param->GetNRowUp2();
583 //
584 //
585 //
586 fDEDX[0] = CookdEdxNorm(low,up,0 ,i1 ,i2, kTRUE,kFALSE,2,0);
587 fDEDX[1] = CookdEdxNorm(low,up,0 ,0 ,row0,kTRUE,kFALSE,2,0);
588 fDEDX[2] = CookdEdxNorm(low,up,0 ,row0,row1,kTRUE,kFALSE,2,0);
589 fDEDX[3] = CookdEdxNorm(low,up,0 ,row1,row2,kTRUE,kFALSE,2,0);
590 //
591 fSDEDX[0] = CookdEdxNorm(low,up,0 ,i1 ,i2, kTRUE,kFALSE,2,1);
592 fSDEDX[1] = CookdEdxNorm(low,up,0 ,0 ,row0,kTRUE,kFALSE,2,1);
593 fSDEDX[2] = CookdEdxNorm(low,up,0 ,row0,row1,kTRUE,kFALSE,2,1);
594 fSDEDX[3] = CookdEdxNorm(low,up,0 ,row1,row2,kTRUE,kFALSE,2,1);
595 //
596 fNCDEDX[0] = TMath::Nint(CookdEdxNorm(low,up,0 ,i1 ,i2, kTRUE,kFALSE,2,2));
597 fNCDEDX[1] = TMath::Nint(CookdEdxNorm(low,up,0 ,0 ,row0,kTRUE,kFALSE,2,2));
598 fNCDEDX[2] = TMath::Nint(CookdEdxNorm(low,up,0 ,row0,row1,kTRUE,kFALSE,2,2));
599 fNCDEDX[3] = TMath::Nint(CookdEdxNorm(low,up,0 ,row1,row2,kTRUE,kFALSE,2,2));
600
601 SetdEdx(fDEDX[0]);
602 return fDEDX[0];
603
604// return CookdEdxNorm(low,up,0,i1,i2,1,0,2);
605
606
607// Float_t amp[200];
608// Float_t angular[200];
609// Float_t weight[200];
610// Int_t index[200];
611// //Int_t nc = 0;
612// Float_t meanlog = 100.;
613
614// Float_t mean[4] = {0,0,0,0};
615// Float_t sigma[4] = {1000,1000,1000,1000};
616// Int_t nc[4] = {0,0,0,0};
617// Float_t norm[4] = {1000,1000,1000,1000};
618// //
619// //
620// fNShared =0;
621
622// Float_t gainGG = 1;
623// if (AliTPCcalibDB::Instance()->GetParameters()){
624// gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000.; //relative gas gain
625// }
626
627
628// for (Int_t of =0; of<4; of++){
629// for (Int_t i=of+i1;i<i2;i+=4)
630// {
631// Int_t clindex = fIndex[i];
632// if (clindex<0||clindex&0x8000) continue;
633
634// //AliTPCTrackPoint * point = (AliTPCTrackPoint *) arr.At(i);
635// AliTPCTrackerPoint * point = GetTrackPoint(i);
636// //AliTPCTrackerPoint * pointm = GetTrackPoint(i-1);
637// //AliTPCTrackerPoint * pointp = 0;
638// //if (i<159) pointp = GetTrackPoint(i+1);
639
640// if (point==0) continue;
641// AliTPCclusterMI * cl = fClusterPointer[i];
642// if (cl==0) continue;
643// if (onlyused && (!cl->IsUsed(10))) continue;
644// if (cl->IsUsed(11)) {
645// fNShared++;
646// continue;
647// }
648// Int_t type = cl->GetType();
649// //if (point->fIsShared){
650// // fNShared++;
651// // continue;
652// //}
653// //if (pointm)
654// // if (pointm->fIsShared) continue;
655// //if (pointp)
656// // if (pointp->fIsShared) continue;
657
658// if (type<0) continue;
659// //if (type>10) continue;
660// //if (point->GetErrY()==0) continue;
661// //if (point->GetErrZ()==0) continue;
662
663// //Float_t ddy = (point->GetY()-cl->GetY())/point->GetErrY();
664// //Float_t ddz = (point->GetZ()-cl->GetZ())/point->GetErrZ();
665// //if ((ddy*ddy+ddz*ddz)>10) continue;
666
667
668// // if (point->GetCPoint().GetMax()<5) continue;
669// if (cl->GetMax()<5) continue;
670// Float_t angley = point->GetAngleY();
671// Float_t anglez = point->GetAngleZ();
672
673// Float_t rsigmay2 = point->GetSigmaY();
674// Float_t rsigmaz2 = point->GetSigmaZ();
675// /*
676// Float_t ns = 1.;
677// if (pointm){
678// rsigmay += pointm->GetTPoint().GetSigmaY();
679// rsigmaz += pointm->GetTPoint().GetSigmaZ();
680// ns+=1.;
681// }
682// if (pointp){
683// rsigmay += pointp->GetTPoint().GetSigmaY();
684// rsigmaz += pointp->GetTPoint().GetSigmaZ();
685// ns+=1.;
686// }
687// rsigmay/=ns;
688// rsigmaz/=ns;
689// */
690
691// Float_t rsigma = TMath::Sqrt(rsigmay2*rsigmaz2);
692
693// Float_t ampc = 0; // normalization to the number of electrons
694// if (i>64){
695// // ampc = 1.*point->GetCPoint().GetMax();
696// ampc = 1.*cl->GetMax();
697// //ampc = 1.*point->GetCPoint().GetQ();
698// // AliTPCClusterPoint & p = point->GetCPoint();
699// // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.6)) - TMath::Abs(p.GetY()/0.6)+0.5);
700// // Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
701// //Float_t dz =
702// // TMath::Abs( Int_t(iz) - iz + 0.5);
703// //ampc *= 1.15*(1-0.3*dy);
704// //ampc *= 1.15*(1-0.3*dz);
705// // Float_t zfactor = (AliTPCReconstructor::GetCtgRange()-0.0004*TMath::Abs(point->GetCPoint().GetZ()));
706// //ampc *=zfactor;
707// }
708// else{
709// //ampc = 1.0*point->GetCPoint().GetMax();
710// ampc = 1.0*cl->GetMax();
711// //ampc = 1.0*point->GetCPoint().GetQ();
712// //AliTPCClusterPoint & p = point->GetCPoint();
713// // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.4)) - TMath::Abs(p.GetY()/0.4)+0.5);
714// //Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
715// //Float_t dz =
716// // TMath::Abs( Int_t(iz) - iz + 0.5);
717
718// //ampc *= 1.15*(1-0.3*dy);
719// //ampc *= 1.15*(1-0.3*dz);
720// // Float_t zfactor = (1.02-0.000*TMath::Abs(point->GetCPoint().GetZ()));
721// //ampc *=zfactor;
722
723// }
724// ampc *= 2.0; // put mean value to channel 50
725// //ampc *= 0.58; // put mean value to channel 50
726// Float_t w = 1.;
727// // if (type>0) w = 1./(type/2.-0.5);
728// // Float_t z = TMath::Abs(cl->GetZ());
729// if (i<64) {
730// ampc /= 0.6;
731// //ampc /= (1+0.0008*z);
732// } else
733// if (i>128){
734// ampc /=1.5;
735// //ampc /= (1+0.0008*z);
736// }else{
737// //ampc /= (1+0.0008*z);
738// }
739
740// if (type<0) { //amp at the border - lower weight
741// // w*= 2.;
742
743// continue;
744// }
745// if (rsigma>1.5) ampc/=1.3; // if big backround
746// amp[nc[of]] = ampc;
747// amp[nc[of]] /=gainGG;
748// angular[nc[of]] = TMath::Sqrt(1.+angley*angley+anglez*anglez);
749// weight[nc[of]] = w;
750// nc[of]++;
751// }
752
753// TMath::Sort(nc[of],amp,index,kFALSE);
754// Float_t sumamp=0;
755// Float_t sumamp2=0;
756// Float_t sumw=0;
757// //meanlog = amp[index[Int_t(nc[of]*0.33)]];
758// meanlog = 50;
759// for (Int_t i=int(nc[of]*low+0.5);i<int(nc[of]*up+0.5);i++){
760// Float_t ampl = amp[index[i]]/angular[index[i]];
761// ampl = meanlog*TMath::Log(1.+ampl/meanlog);
762// //
763// sumw += weight[index[i]];
764// sumamp += weight[index[i]]*ampl;
765// sumamp2 += weight[index[i]]*ampl*ampl;
766// norm[of] += angular[index[i]]*weight[index[i]];
767// }
768// if (sumw<1){
769// SetdEdx(0);
770// }
771// else {
772// norm[of] /= sumw;
773// mean[of] = sumamp/sumw;
774// sigma[of] = sumamp2/sumw-mean[of]*mean[of];
775// if (sigma[of]>0.1)
776// sigma[of] = TMath::Sqrt(sigma[of]);
777// else
778// sigma[of] = 1000;
779
780// mean[of] = (TMath::Exp(mean[of]/meanlog)-1)*meanlog;
781// //mean *=(1-0.02*(sigma/(mean*0.17)-1.));
782// //mean *=(1-0.1*(norm-1.));
783// }
784// }
785
786// Float_t dedx =0;
787// fSdEdx =0;
788// fMAngular =0;
789// // mean[0]*= (1-0.05*(sigma[0]/(0.01+mean[1]*0.18)-1));
790// // mean[1]*= (1-0.05*(sigma[1]/(0.01+mean[0]*0.18)-1));
791
792
793// // dedx = (mean[0]* TMath::Sqrt((1.+nc[0]))+ mean[1]* TMath::Sqrt((1.+nc[1])) )/
794// // ( TMath::Sqrt((1.+nc[0]))+TMath::Sqrt((1.+nc[1])));
795
796// Int_t norm2 = 0;
797// Int_t norm3 = 0;
798// for (Int_t i =0;i<4;i++){
799// if (nc[i]>2&&nc[i]<1000){
800// dedx += mean[i] *nc[i];
801// fSdEdx += sigma[i]*(nc[i]-2);
802// fMAngular += norm[i] *nc[i];
803// norm2 += nc[i];
804// norm3 += nc[i]-2;
805// }
806// fDEDX[i] = mean[i];
807// fSDEDX[i] = sigma[i];
808// fNCDEDX[i]= nc[i];
809// }
810
811// if (norm3>0){
812// dedx /=norm2;
813// fSdEdx /=norm3;
814// fMAngular/=norm2;
815// }
816// else{
817// SetdEdx(0);
818// return 0;
819// }
820// // Float_t dedx1 =dedx;
821// /*
822// dedx =0;
823// for (Int_t i =0;i<4;i++){
824// if (nc[i]>2&&nc[i]<1000){
825// mean[i] = mean[i]*(1-0.12*(sigma[i]/(fSdEdx)-1.));
826// dedx += mean[i] *nc[i];
827// }
828// fDEDX[i] = mean[i];
829// }
830// dedx /= norm2;
831// */
832
833
834// SetdEdx(dedx);
835// return dedx;
836}
837
838void AliTPCseed::CookPID()
839{
840 //
841 // cook PID information according dEdx
842 //
843 Double_t fRange = 10.;
844 Double_t fRes = 0.1;
845 Double_t fMIP = 47.;
846 //
847 Int_t ns=AliPID::kSPECIES;
848 Double_t sumr =0;
849 for (Int_t j=0; j<ns; j++) {
850 Double_t mass=AliPID::ParticleMass(j);
851 Double_t mom=GetP();
852 Double_t dedx=fdEdx/fMIP;
853 Double_t bethe=AliMathBase::BetheBlochAleph(mom/mass);
854 Double_t sigma=fRes*bethe;
855 if (sigma>0.001){
856 if (TMath::Abs(dedx-bethe) > fRange*sigma) {
857 fTPCr[j]=TMath::Exp(-0.5*fRange*fRange)/sigma;
858 sumr+=fTPCr[j];
859 continue;
860 }
861 fTPCr[j]=TMath::Exp(-0.5*(dedx-bethe)*(dedx-bethe)/(sigma*sigma))/sigma;
862 sumr+=fTPCr[j];
863 }
864 else{
865 fTPCr[j]=1.;
866 sumr+=fTPCr[j];
867 }
868 }
869 for (Int_t j=0; j<ns; j++) {
870 fTPCr[j]/=sumr; //normalize
871 }
872}
873
874Double_t AliTPCseed::GetYat(Double_t xk) const {
875//-----------------------------------------------------------------
876// This function calculates the Y-coordinate of a track at the plane x=xk.
877//-----------------------------------------------------------------
878 if (TMath::Abs(GetSnp())>AliTPCReconstructor::GetMaxSnpTrack()) return 0.; //patch 01 jan 06
879 Double_t c1=GetSnp(), r1=TMath::Sqrt((1.-c1)*(1.+c1));
880 Double_t c2=c1+GetC()*(xk-GetX());
881 if (TMath::Abs(c2)>AliTPCReconstructor::GetMaxSnpTrack()) return 0;
882 Double_t r2=TMath::Sqrt((1.-c2)*(1.+c2));
883 return GetY() + (xk-GetX())*(c1+c2)/(r1+r2);
884}
885
886void AliTPCseed::SetClusterMapBit(int ibit, Bool_t state)
887{
888 fClusterMap[ibit] = state;
889}
890Bool_t AliTPCseed::GetClusterMapBit(int ibit)
891{
892 return fClusterMap[ibit];
893}
894void AliTPCseed::SetSharedMapBit(int ibit, Bool_t state)
895{
896 fSharedMap[ibit] = state;
897}
898Bool_t AliTPCseed::GetSharedMapBit(int ibit)
899{
900 return fSharedMap[ibit];
901}
902
903
904
905
906
907Float_t AliTPCseed::CookdEdxNorm(Double_t low, Double_t up, Int_t type, Int_t i1, Int_t i2, Bool_t shapeNorm,Int_t posNorm, Int_t padNorm, Int_t returnVal){
908
909 //
910 // calculates dedx using the cluster
911 // low - up specify trunc mean range - default form 0-0.7
912 // type - 1 - max charge or 0- total charge in cluster
913 // //2- max no corr 3- total+ correction
914 // i1-i2 - the pad-row range used for calculation
915 // shapeNorm - kTRUE -taken from OCDB
916 //
917 // posNorm - usage of pos normalization
918 // padNorm - pad type normalization
919 // returnVal - 0 return mean
920 // - 1 return RMS
921 // - 2 return number of clusters
922 //
923 // normalization parametrization taken from AliTPCClusterParam
924 //
925 AliTPCClusterParam * parcl = AliTPCcalibDB::Instance()->GetClusterParam();
926 AliTPCParam * param = AliTPCcalibDB::Instance()->GetParameters();
927 if (!parcl) return 0;
928 if (!param) return 0;
929 Int_t row0 = param->GetNRowLow();
930 Int_t row1 = row0+param->GetNRowUp1();
931
932 Float_t amp[160];
933 Int_t indexes[160];
934 Int_t ncl=0;
935 //
936 //
937 Float_t gainGG = 1; // gas gain factor -always enabled
938 Float_t gainPad = 1; // gain map - used always
939 Float_t corrShape = 1; // correction due angular effect, diffusion and electron attachment
940 Float_t corrPos = 1; // local position correction - if posNorm enabled
941 Float_t corrPadType = 1; // pad type correction - if padNorm enabled
942 Float_t corrNorm = 1; // normalization factor - set Q to channel 50
943 //
944 //
945 //
946 if (AliTPCcalibDB::Instance()->GetParameters()){
947 gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000; //relative gas gain
948 }
949
950 const Float_t ktany = TMath::Tan(TMath::DegToRad()*10);
951 const Float_t kedgey =3.;
952 //
953 //
954 for (Int_t irow=i1; irow<i2; irow++){
955 AliTPCclusterMI* cluster = GetClusterPointer(irow);
956 if (!cluster) continue;
957 if (TMath::Abs(cluster->GetY())>cluster->GetX()*ktany-kedgey) continue; // edge cluster
958 Float_t charge= (type%2)? cluster->GetMax():cluster->GetQ();
959 Int_t ipad= 0;
960 if (irow>=row0) ipad=1;
961 if (irow>=row1) ipad=2;
962 //
963 //
964 //
965 AliTPCCalPad * gainMap = AliTPCcalibDB::Instance()->GetDedxGainFactor();
966 if (gainMap) {
967 //
968 // Get gainPad - pad by pad calibration
969 //
970 Float_t factor = 1;
971 AliTPCCalROC * roc = gainMap->GetCalROC(cluster->GetDetector());
972 if (irow < row0) { // IROC
973 factor = roc->GetValue(irow, TMath::Nint(cluster->GetPad()));
974 } else { // OROC
975 factor = roc->GetValue(irow - row0, TMath::Nint(cluster->GetPad()));
976 }
977 if (factor>0.5) gainPad=factor;
978 }
979 //
980 //do position and angular normalization
981 //
982 if (shapeNorm){
983 if (type<=1){
984 //
985 AliTPCTrackerPoint * point = GetTrackPoint(irow);
986 Float_t ty = TMath::Abs(point->GetAngleY());
987 Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
988
989 Float_t dr = (250.-TMath::Abs(cluster->GetZ()))/250.;
990 corrShape = parcl->Qnorm(ipad,type,dr,ty,tz);
991 }
992 }
993
994 if (posNorm>0){
995 //
996 // Do position normalization - relative distance to
997 // center of pad- time bin
998 // Work in progress
999 // corrPos = parcl->QnormPos(ipad,type, cluster->GetPad(),
1000 // cluster->GetTimeBin(), cluster->GetZ(),
1001 // cluster->GetSigmaY2(),cluster->GetSigmaZ2(),
1002 // cluster->GetMax(),cluster->GetQ());
1003 // scaled response function
1004 Float_t yres0 = parcl->GetRMS0(0,ipad,0,0)/param->GetPadPitchWidth(cluster->GetDetector());
1005 Float_t zres0 = parcl->GetRMS0(1,ipad,0,0)/param->GetZWidth();
1006 //
1007
1008 AliTPCTrackerPoint * point = GetTrackPoint(irow);
1009 Float_t ty = TMath::Abs(point->GetAngleY());
1010 Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
1011
1012 if (type==1) corrPos =
1013 parcl->QmaxCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1014 cluster->GetTimeBin(),ty,tz,yres0,zres0,0.4);
1015 if (type==0) corrPos =
1016 parcl->QtotCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1017 cluster->GetTimeBin(),ty,tz,yres0,zres0,cluster->GetQ(),2.5,0.4);
1018 if (posNorm==3){
1019 Float_t dr = (250.-TMath::Abs(cluster->GetZ()))/250.;
1020 Double_t signtgl = (cluster->GetZ()*point->GetAngleZ()>0)? 1:-1;
1021 Double_t p2 = TMath::Abs(TMath::Sin(TMath::ATan(ty)));
1022 Float_t corrHis = parcl->QnormHis(ipad,type,dr,p2,TMath::Abs(point->GetAngleZ())*signtgl);
1023 if (corrHis>0) corrPos*=corrHis;
1024 }
1025
1026 }
1027
1028 if (padNorm==1){
1029 //taken from OCDB
1030 if (type==0 && parcl->fQpadTnorm) corrPadType = (*parcl->fQpadTnorm)[ipad];
1031 if (type==1 && parcl->fQpadTnorm) corrPadType = (*parcl->fQpadMnorm)[ipad];
1032
1033 }
1034 if (padNorm==2){
1035 corrPadType =param->GetPadPitchLength(cluster->GetDetector(),cluster->GetRow());
1036 //use hardwired - temp fix
1037 if (type==0) corrNorm=3.;
1038 if (type==1) corrNorm=1.;
1039 }
1040 //
1041 amp[ncl]=charge;
1042 amp[ncl]/=gainGG;
1043 amp[ncl]/=gainPad;
1044 amp[ncl]/=corrShape;
1045 amp[ncl]/=corrPadType;
1046 amp[ncl]/=corrPos;
1047 amp[ncl]/=corrNorm;
1048 //
1049 ncl++;
1050 }
1051
1052 if (type>3) return ncl;
1053 TMath::Sort(ncl,amp, indexes, kFALSE);
1054
1055 if (ncl<10) return 0;
1056
1057 Float_t suma=0;
1058 Float_t suma2=0;
1059 Float_t sumn=0;
1060 Int_t icl0=TMath::Nint(ncl*low);
1061 Int_t icl1=TMath::Nint(ncl*up);
1062 for (Int_t icl=icl0; icl<icl1;icl++){
1063 suma+=amp[indexes[icl]];
1064 suma2+=amp[indexes[icl]]*amp[indexes[icl]];
1065 sumn++;
1066 }
1067 Float_t mean =suma/sumn;
1068 Float_t rms =TMath::Sqrt(TMath::Abs(suma2/sumn-mean*mean));
1069 if (returnVal==1) return rms;
1070 if (returnVal==2) return ncl;
1071 return mean;
1072}
1073
1074Float_t AliTPCseed::CookdEdxAnalytical(Double_t low, Double_t up, Int_t type, Int_t i1, Int_t i2, Int_t returnVal){
1075
1076 //
1077 // calculates dedx using the cluster
1078 // low - up specify trunc mean range - default form 0-0.7
1079 // type - 1 - max charge or 0- total charge in cluster
1080 // //2- max no corr 3- total+ correction
1081 // i1-i2 - the pad-row range used for calculation
1082 //
1083 // posNorm - usage of pos normalization
1084 // returnVal - 0 return mean
1085 // - 1 return RMS
1086 // - 2 return number of clusters
1087 //
1088 // normalization parametrization taken from AliTPCClusterParam
1089 //
1090 AliTPCClusterParam * parcl = AliTPCcalibDB::Instance()->GetClusterParam();
1091 AliTPCParam * param = AliTPCcalibDB::Instance()->GetParameters();
1092 if (!parcl) return 0;
1093 if (!param) return 0;
1094 Int_t row0 = param->GetNRowLow();
1095 Int_t row1 = row0+param->GetNRowUp1();
1096
1097 Float_t amp[160];
1098 Int_t indexes[160];
1099 Int_t ncl=0;
1100 //
1101 //
1102 Float_t gainGG = 1; // gas gain factor -always enabled
1103 Float_t gainPad = 1; // gain map - used always
1104 Float_t corrPos = 1; // local position correction - if posNorm enabled
1105 Float_t corrNorm = 1; // normalization factor - set Q to channel 50
1106 //
1107 //
1108 //
1109 if (AliTPCcalibDB::Instance()->GetParameters()){
1110 gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000; //relative gas gain
1111 }
1112
1113 const Float_t ktany = TMath::Tan(TMath::DegToRad()*10);
1114 const Float_t kedgey =3.;
1115 //
1116 //
1117 for (Int_t irow=i1; irow<i2; irow++){
1118 AliTPCclusterMI* cluster = GetClusterPointer(irow);
1119 if (!cluster) continue;
1120 if (TMath::Abs(cluster->GetY())>cluster->GetX()*ktany-kedgey) continue; // edge cluster
1121 Float_t charge= (type%2)? cluster->GetMax():cluster->GetQ();
1122 Int_t ipad= 0;
1123 if (irow>=row0) ipad=1;
1124 if (irow>=row1) ipad=2;
1125 //
1126 //
1127 //
1128 AliTPCCalPad * gainMap = AliTPCcalibDB::Instance()->GetDedxGainFactor();
1129 if (gainMap) {
1130 //
1131 // Get gainPad - pad by pad calibration
1132 //
1133 Float_t factor = 1;
1134 AliTPCCalROC * roc = gainMap->GetCalROC(cluster->GetDetector());
1135 if (irow < row0) { // IROC
1136 factor = roc->GetValue(irow, TMath::Nint(cluster->GetPad()));
1137 } else { // OROC
1138 factor = roc->GetValue(irow - row0, TMath::Nint(cluster->GetPad()));
1139 }
1140 if (factor>0.5) gainPad=factor;
1141 }
1142
1143 //
1144 // Do position normalization - relative distance to
1145 // center of pad- time bin
1146
1147 AliTPCTrackerPoint * point = GetTrackPoint(irow);
1148 Float_t ty = TMath::Abs(point->GetAngleY());
1149 Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
1150 Float_t yres0 = parcl->GetRMS0(0,ipad,0,0)/param->GetPadPitchWidth(cluster->GetDetector());
1151 Float_t zres0 = parcl->GetRMS0(1,ipad,0,0)/param->GetZWidth();
1152
1153 yres0 *=parcl->GetQnormCorr(ipad, type,0);
1154 zres0 *=parcl->GetQnormCorr(ipad, type,1);
1155 Float_t effLength=parcl->GetQnormCorr(ipad, type,4)*0.5;
1156 Float_t effDiff =(parcl->GetQnormCorr(ipad, type,2)+parcl->GetQnormCorr(ipad, type,3))*0.5;
1157 //
1158 if (type==1) {
1159 corrPos = parcl->GetQnormCorr(ipad, type,5)*
1160 parcl->QmaxCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1161 cluster->GetTimeBin(),ty,tz,yres0,zres0,effLength,effDiff);
1162 Float_t drm = 0.5-TMath::Abs(cluster->GetZ()/250.);
1163 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,0)*drm);
1164 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,1)*ty*ty);
1165 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,2)*tz*tz);
1166 //
1167 }
1168 if (type==0) {
1169 corrPos = parcl->GetQnormCorr(ipad, type,5)*
1170 parcl->QtotCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1171 cluster->GetTimeBin(),ty,tz,yres0,zres0,cluster->GetQ(),2.5,effLength,effDiff);
1172
1173 Float_t drm = 0.5-TMath::Abs(cluster->GetZ()/250.);
1174 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,0)*drm);
1175 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,1)*ty*ty);
1176 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,2)*tz*tz);
1177 //
1178 }
1179
1180 //
1181 amp[ncl]=charge;
1182 amp[ncl]/=gainGG;
1183 amp[ncl]/=gainPad;
1184 amp[ncl]/=corrPos;
1185 //
1186 ncl++;
1187 }
1188
1189 if (type>3) return ncl;
1190 TMath::Sort(ncl,amp, indexes, kFALSE);
1191
1192 if (ncl<10) return 0;
1193
1194 Float_t suma=0;
1195 Float_t suma2=0;
1196 Float_t sumn=0;
1197 Int_t icl0=TMath::Nint(ncl*low);
1198 Int_t icl1=TMath::Nint(ncl*up);
1199 for (Int_t icl=icl0; icl<icl1;icl++){
1200 suma+=amp[indexes[icl]];
1201 suma2+=amp[indexes[icl]]*amp[indexes[icl]];
1202 sumn++;
1203 }
1204 Float_t mean =suma/sumn;
1205 Float_t rms =TMath::Sqrt(TMath::Abs(suma2/sumn-mean*mean));
1206 if (returnVal==1) return rms;
1207 if (returnVal==2) return ncl;
1208 return mean;
1209}
1210
1211
1212
1213
1214Float_t AliTPCseed::CookShape(Int_t type){
1215 //
1216 //
1217 //
1218 //-----------------------------------------------------------------
1219 // This funtion calculates dE/dX within the "low" and "up" cuts.
1220 //-----------------------------------------------------------------
1221 Float_t means=0;
1222 Float_t meanc=0;
1223 for (Int_t i =0; i<160;i++) {
1224 AliTPCTrackerPoint * point = GetTrackPoint(i);
1225 if (point==0) continue;
1226
1227 AliTPCclusterMI * cl = fClusterPointer[i];
1228 if (cl==0) continue;
1229
1230 Float_t rsigmay = TMath::Sqrt(point->GetSigmaY());
1231 Float_t rsigmaz = TMath::Sqrt(point->GetSigmaZ());
1232 Float_t rsigma = (rsigmay+rsigmaz)*0.5;
1233 if (type==0) means+=rsigma;
1234 if (type==1) means+=rsigmay;
1235 if (type==2) means+=rsigmaz;
1236 meanc++;
1237 }
1238 Float_t mean = (meanc>0)? means/meanc:0;
1239 return mean;
1240}
1241
1242
1243
1244Int_t AliTPCseed::RefitTrack(AliTPCseed *seed, AliExternalTrackParam * parin, AliExternalTrackParam * parout){
1245 //
1246 // Refit the track
1247 // return value - number of used clusters
1248 //
1249 //
1250 const Int_t kMinNcl =10;
1251 AliTPCseed *track=new AliTPCseed(*seed);
1252 Int_t sector=-1;
1253 // reset covariance
1254 //
1255 Double_t covar[15];
1256 for (Int_t i=0;i<15;i++) covar[i]=0;
1257 covar[0]=10.*10.;
1258 covar[2]=10.*10.;
1259 covar[5]=10.*10./(64.*64.);
1260 covar[9]=10.*10./(64.*64.);
1261 covar[14]=1*1;
1262 //
1263
1264 Float_t xmin=1000, xmax=-10000;
1265 Int_t imin=158, imax=0;
1266 for (Int_t i=0;i<160;i++) {
1267 AliTPCclusterMI *c=track->GetClusterPointer(i);
1268 if (!c) continue;
1269 if (sector<0) sector = c->GetDetector();
1270 if (c->GetX()<xmin) xmin=c->GetX();
1271 if (c->GetX()>xmax) xmax=c->GetX();
1272 if (i<imin) imin=i;
1273 if (i>imax) imax=i;
1274 }
1275 if(imax-imin<kMinNcl) {
1276 delete track;
1277 return 0 ;
1278 }
1279 // Not succes to rotate
1280 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1281 delete track;
1282 return 0;
1283 }
1284 //
1285 //
1286 // fit from inner to outer row
1287 //
1288 AliExternalTrackParam paramIn;
1289 AliExternalTrackParam paramOut;
1290 Bool_t isOK=kTRUE;
1291 Int_t ncl=0;
1292 //
1293 //
1294 //
1295 for (Int_t i=imin; i<=imax; i++){
1296 AliTPCclusterMI *c=track->GetClusterPointer(i);
1297 if (!c) continue;
1298 // if (RejectCluster(c,track)) continue;
1299 sector = (c->GetDetector()%18);
1300 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1301 //continue;
1302 }
1303 Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
1304 Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
1305 if (!track->PropagateTo(r[0])) {
1306 isOK=kFALSE;
1307 }
1308 if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
1309 }
1310 if (!isOK) { delete track; return 0;}
1311 track->AddCovariance(covar);
1312 //
1313 //
1314 //
1315 for (Int_t i=imax; i>=imin; i--){
1316 AliTPCclusterMI *c=track->GetClusterPointer(i);
1317 if (!c) continue;
1318 //if (RejectCluster(c,track)) continue;
1319 sector = (c->GetDetector()%18);
1320 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1321 //continue;
1322 }
1323 Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
1324 Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
1325 if (!track->PropagateTo(r[0])) {
1326 isOK=kFALSE;
1327 }
1328 if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
1329 }
1330 //if (!isOK) { delete track; return 0;}
1331 paramIn = *track;
1332 track->AddCovariance(covar);
1333 //
1334 //
1335 for (Int_t i=imin; i<=imax; i++){
1336 AliTPCclusterMI *c=track->GetClusterPointer(i);
1337 if (!c) continue;
1338 sector = (c->GetDetector()%18);
1339 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1340 //continue;
1341 }
1342 ncl++;
1343 //if (RejectCluster(c,track)) continue;
1344 Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
1345 Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
1346 if (!track->PropagateTo(r[0])) {
1347 isOK=kFALSE;
1348 }
1349 if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
1350 }
1351 //if (!isOK) { delete track; return 0;}
1352 paramOut=*track;
1353 //
1354 //
1355 //
1356 if (parin) (*parin)=paramIn;
1357 if (parout) (*parout)=paramOut;
1358 return ncl;
1359}
1360
1361
1362
1363Bool_t AliTPCseed::RefitTrack(AliTPCseed* /*seed*/, Bool_t /*out*/){
1364 //
1365 //
1366 //
1367 return kFALSE;
1368}
1369
1370
1371
1372
1373
1374
1375void AliTPCseed::GetError(AliTPCclusterMI* cluster, AliExternalTrackParam * param,
1376 Double_t& erry, Double_t &errz)
1377{
1378 //
1379 // Get cluster error at given position
1380 //
1381 AliTPCClusterParam *clusterParam = AliTPCcalibDB::Instance()->GetClusterParam();
1382 Double_t tany,tanz;
1383 Double_t snp1=param->GetSnp();
1384 tany=snp1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1385 //
1386 Double_t tgl1=param->GetTgl();
1387 tanz=tgl1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1388 //
1389 Int_t padSize = 0; // short pads
1390 if (cluster->GetDetector() >= 36) {
1391 padSize = 1; // medium pads
1392 if (cluster->GetRow() > 63) padSize = 2; // long pads
1393 }
1394
1395 erry = clusterParam->GetError0Par( 0, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tany) );
1396 errz = clusterParam->GetError0Par( 1, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tanz) );
1397}
1398
1399
1400void AliTPCseed::GetShape(AliTPCclusterMI* cluster, AliExternalTrackParam * param,
1401 Double_t& rmsy, Double_t &rmsz)
1402{
1403 //
1404 // Get cluster error at given position
1405 //
1406 AliTPCClusterParam *clusterParam = AliTPCcalibDB::Instance()->GetClusterParam();
1407 Double_t tany,tanz;
1408 Double_t snp1=param->GetSnp();
1409 tany=snp1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1410 //
1411 Double_t tgl1=param->GetTgl();
1412 tanz=tgl1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1413 //
1414 Int_t padSize = 0; // short pads
1415 if (cluster->GetDetector() >= 36) {
1416 padSize = 1; // medium pads
1417 if (cluster->GetRow() > 63) padSize = 2; // long pads
1418 }
1419
1420 rmsy = clusterParam->GetRMSQ( 0, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tany), TMath::Abs(cluster->GetMax()) );
1421 rmsz = clusterParam->GetRMSQ( 1, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tanz) ,TMath::Abs(cluster->GetMax()));
1422}
1423
1424
1425
1426Double_t AliTPCseed::GetQCorrGeom(Float_t ty, Float_t tz){
1427 //Geoetrical
1428 //ty - tangent in local y direction
1429 //tz - tangent
1430 //
1431 Float_t norm=TMath::Sqrt(1+ty*ty+tz*tz);
1432 return norm;
1433}
1434
1435Double_t AliTPCseed::GetQCorrShape(Int_t ipad, Int_t type,Float_t z, Float_t ty, Float_t tz, Float_t /*q*/, Float_t /*thr*/){
1436 //
1437 // Q normalization
1438 //
1439 // return value = Q Normalization factor
1440 // Normalization - 1 - shape factor part for full drift
1441 // 1 - electron attachment for 0 drift
1442
1443 // Input parameters:
1444 //
1445 // ipad - 0 short pad
1446 // 1 medium pad
1447 // 2 long pad
1448 //
1449 // type - 0 qmax
1450 // - 1 qtot
1451 //
1452 //z - z position (-250,250 cm)
1453 //ty - tangent in local y direction
1454 //tz - tangent
1455 //
1456
1457 AliTPCClusterParam * paramCl = AliTPCcalibDB::Instance()->GetClusterParam();
1458 AliTPCParam * paramTPC = AliTPCcalibDB::Instance()->GetParameters();
1459
1460 if (!paramCl) return 1;
1461 //
1462 Double_t dr = 250.-TMath::Abs(z);
1463 Double_t sy = paramCl->GetRMS0( 0,ipad, dr, TMath::Abs(ty));
1464 Double_t sy0= paramCl->GetRMS0(0,ipad, 250, 0);
1465 Double_t sz = paramCl->GetRMS0( 1,ipad, dr, TMath::Abs(tz));
1466 Double_t sz0= paramCl->GetRMS0(1,ipad, 250, 0);
1467
1468 Double_t sfactorMax = TMath::Sqrt(sy0*sz0/(sy*sz));
1469
1470
1471 Double_t dt = 1000000*(dr/paramTPC->GetDriftV()); //time in microsecond
1472 Double_t attProb = TMath::Exp(-paramTPC->GetAttCoef()*paramTPC->GetOxyCont()*dt);
1473 //
1474 //
1475 if (type==0) return sfactorMax*attProb;
1476
1477 return attProb;
1478
1479
1480}
1481