1 /**************************************************************************
2 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
4 * Author: The ALICE Off-line Project. *
5 * Contributors are mentioned in the code where appropriate. *
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 **************************************************************************/
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 #include "AliTPCTransform.h"
34 #include "AliSplineFit.h"
35 #include "AliCDBManager.h"
43 AliTPCseed::AliTPCseed():
46 fClusterOwner(kFALSE),
50 fCurrentSigmaY2(1e10),
51 fCurrentSigmaZ2(1e10),
52 fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
53 fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
54 fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
55 fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
60 fCurrentClusterIndex1(-1),
75 for (Int_t i=0;i<160;i++) SetClusterIndex2(i,-3);
76 for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
77 for (Int_t i=0;i<3;i++) fKinkIndexes[i]=0;
78 for (Int_t i=0;i<AliPID::kSPECIES;i++) fTPCr[i]=0.2;
79 for (Int_t i=0;i<4;i++) {
84 for (Int_t i=0;i<12;i++) fOverlapLabels[i] = -1;
85 // for (Int_t i=0;i<160;i++) fClusterMap[i]=kFALSE;
86 //for (Int_t i=0;i<160;i++) fSharedMap[i]=kFALSE;
87 fClusterMap.ResetAllBits(kFALSE);
88 fSharedMap.ResetAllBits(kFALSE);
92 AliTPCseed::AliTPCseed(const AliTPCseed &s, Bool_t clusterOwner):
95 fClusterOwner(clusterOwner),
101 fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
102 fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
103 fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
104 fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
107 fCurrentCluster(0x0),
108 fCurrentClusterIndex1(-1),
119 fClusterMap(s.fClusterMap),
120 fSharedMap(s.fSharedMap)
122 //---------------------
123 // dummy copy constructor
124 //-------------------------
125 for (Int_t i=0;i<160;i++) {
126 fClusterPointer[i]=0;
128 if (s.fClusterPointer[i])
129 fClusterPointer[i] = new AliTPCclusterMI(*(s.fClusterPointer[i]));
131 fClusterPointer[i] = s.fClusterPointer[i];
133 fTrackPoints[i] = s.fTrackPoints[i];
135 for (Int_t i=0;i<160;i++) fIndex[i] = s.fIndex[i];
136 for (Int_t i=0;i<AliPID::kSPECIES;i++) fTPCr[i]=s.fTPCr[i];
137 for (Int_t i=0;i<4;i++) {
138 fDEDX[i] = s.fDEDX[i];
139 fSDEDX[i] = s.fSDEDX[i];
140 fNCDEDX[i] = s.fNCDEDX[i];
142 for (Int_t i=0;i<12;i++) fOverlapLabels[i] = s.fOverlapLabels[i];
147 AliTPCseed::AliTPCseed(const AliTPCtrack &t):
150 fClusterOwner(kFALSE),
156 fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
157 fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
158 fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
159 fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
162 fCurrentCluster(0x0),
163 fCurrentClusterIndex1(-1),
178 // Constructor from AliTPCtrack
181 for (Int_t i=0;i<5;i++) fTPCr[i]=0.2;
182 for (Int_t i=0;i<160;i++) {
183 fClusterPointer[i] = 0;
184 Int_t index = t.GetClusterIndex(i);
186 SetClusterIndex2(i,index);
189 SetClusterIndex2(i,-3);
192 for (Int_t i=0;i<4;i++) {
197 for (Int_t i=0;i<12;i++) fOverlapLabels[i] = -1;
199 //for (Int_t i=0;i<160;i++) fClusterMap[i]=kFALSE;
200 //for (Int_t i=0;i<160;i++) fSharedMap[i]=kFALSE;
201 fClusterMap.ResetAllBits(kFALSE);
202 fSharedMap.ResetAllBits(kFALSE);
206 AliTPCseed::AliTPCseed(Double_t xr, Double_t alpha, const Double_t xx[5],
207 const Double_t cc[15], Int_t index):
208 AliTPCtrack(xr, alpha, xx, cc, index),
210 fClusterOwner(kFALSE),
216 fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
217 fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
218 fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
219 fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
222 fCurrentCluster(0x0),
223 fCurrentClusterIndex1(-1),
241 for (Int_t i=0;i<160;i++) SetClusterIndex2(i,-3);
242 for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
243 for (Int_t i=0;i<5;i++) fTPCr[i]=0.2;
244 for (Int_t i=0;i<4;i++) {
249 for (Int_t i=0;i<12;i++) fOverlapLabels[i] = -1;
252 AliTPCseed::~AliTPCseed(){
257 for (Int_t icluster=0; icluster<160; icluster++){
258 delete fClusterPointer[icluster];
263 //_________________________________________________
264 AliTPCseed & AliTPCseed::operator=(const AliTPCseed ¶m)
267 // assignment operator
270 AliTPCtrack::operator=(param);
272 for(Int_t i = 0;i<160;++i)fClusterPointer[i] = param.fClusterPointer[i]; // this is not allocated by AliTPCSeed
273 fClusterOwner = param.fClusterOwner;
274 // leave out fPoint, they are also not copied in the copy ctor...
275 // but deleted in the dtor... strange...
277 fSector = param.fSector;
278 fRelativeSector = param.fRelativeSector;
279 fCurrentSigmaY2 = param.fCurrentSigmaY2;
280 fCurrentSigmaZ2 = param.fCurrentSigmaZ2;
281 fErrorY2 = param.fErrorY2;
282 fErrorZ2 = param.fErrorZ2;
283 fCurrentCluster = param.fCurrentCluster; // this is not allocated by AliTPCSeed
284 fCurrentClusterIndex1 = param.fCurrentClusterIndex1;
285 fInDead = param.fInDead;
286 fIsSeeding = param.fIsSeeding;
287 fNoCluster = param.fNoCluster;
289 fBSigned = param.fBSigned;
290 for(Int_t i = 0;i<4;++i){
291 fDEDX[i] = param.fDEDX[i];
292 fSDEDX[i] = param.fSDEDX[i];
293 fNCDEDX[i] = param.fNCDEDX[i];
295 for(Int_t i = 0;i<AliPID::kSPECIES;++i)fTPCr[i] = param.fTPCr[i];
297 fSeedType = param.fSeedType;
298 fSeed1 = param.fSeed1;
299 fSeed2 = param.fSeed2;
300 for(Int_t i = 0;i<12;++i)fOverlapLabels[i] = param.fOverlapLabels[i];
301 fMAngular = param.fMAngular;
302 fCircular = param.fCircular;
303 for(int i = 0;i<160;++i)fTrackPoints[i] = param.fTrackPoints[i];
304 fClusterMap = param.fClusterMap;
305 fSharedMap = param.fSharedMap;
309 //____________________________________________________
310 AliTPCTrackerPoint * AliTPCseed::GetTrackPoint(Int_t i)
314 return &fTrackPoints[i];
319 Double_t AliTPCseed::GetDensityFirst(Int_t n)
323 // return cluster for n rows bellow first point
324 Int_t nfoundable = 1;
326 for (Int_t i=fLastPoint-1;i>0&&nfoundable<n; i--){
327 Int_t index = GetClusterIndex2(i);
328 if (index!=-1) nfoundable++;
329 if (index>0) nfound++;
331 if (nfoundable<n) return 0;
332 return Double_t(nfound)/Double_t(nfoundable);
337 void AliTPCseed::GetClusterStatistic(Int_t first, Int_t last, Int_t &found, Int_t &foundable, Int_t &shared, Bool_t plus2)
339 // get cluster stat. on given region
344 for (Int_t i=first;i<last; i++){
345 Int_t index = GetClusterIndex2(i);
346 if (index!=-1) foundable++;
347 if (index&0x8000) continue;
348 if (fClusterPointer[i]) {
354 if (fClusterPointer[i]->IsUsed(10)) {
358 if (!plus2) continue; //take also neighborhoud
360 if ( (i>0) && fClusterPointer[i-1]){
361 if (fClusterPointer[i-1]->IsUsed(10)) {
366 if ( fClusterPointer[i+1]){
367 if (fClusterPointer[i+1]->IsUsed(10)) {
375 //Error("AliTPCseed::GetClusterStatistic","problem\n");
383 void AliTPCseed::Reset(Bool_t all)
387 SetNumberOfClusters(0);
390 ResetCovariance(10.);
393 for (Int_t i=0;i<8;i++){
394 delete [] fTrackPoints[i];
402 for (Int_t i=0;i<200;i++) SetClusterIndex2(i,-3);
403 for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
409 void AliTPCseed::Modify(Double_t factor)
412 //------------------------------------------------------------------
413 //This function makes a track forget its history :)
414 //------------------------------------------------------------------
416 ResetCovariance(10.);
419 ResetCovariance(factor);
421 SetNumberOfClusters(0);
425 fCurrentSigmaY2 = 0.000005;
426 fCurrentSigmaZ2 = 0.000005;
435 Int_t AliTPCseed::GetProlongation(Double_t xk, Double_t &y, Double_t & z) const
437 //-----------------------------------------------------------------
438 // This function find proloncation of a track to a reference plane x=xk.
439 // doesn't change internal state of the track
440 //-----------------------------------------------------------------
442 Double_t x1=GetX(), x2=x1+(xk-x1), dx=x2-x1;
444 if (TMath::Abs(GetSnp()+GetC()*dx) >= AliTPCReconstructor::GetMaxSnpTrack()) {
448 // Double_t y1=fP0, z1=fP1;
449 Double_t c1=GetSnp(), r1=sqrt((1.-c1)*(1.+c1));
450 Double_t c2=c1 + GetC()*dx, r2=sqrt((1.-c2)*(1.+c2));
454 //y += dx*(c1+c2)/(r1+r2);
455 //z += dx*(c1+c2)/(c1*r2 + c2*r1)*fP3;
457 Double_t dy = dx*(c1+c2)/(r1+r2);
460 Double_t delta = GetC()*dx*(c1+c2)/(c1*r2 + c2*r1);
462 if (TMath::Abs(delta)>0.0001){
463 dz = fP3*TMath::ASin(delta)/fP4;
465 dz = dx*fP3*(c1+c2)/(c1*r2 + c2*r1);
468 // dz = fP3*AliTPCFastMath::FastAsin(delta)/fP4;
469 dz = GetTgl()*TMath::ASin(delta)/GetC();
479 //_____________________________________________________________________________
480 Double_t AliTPCseed::GetPredictedChi2(const AliCluster *c) const
482 //-----------------------------------------------------------------
483 // This function calculates a predicted chi2 increment.
484 //-----------------------------------------------------------------
485 Double_t p[2]={c->GetY(), c->GetZ()};
486 Double_t cov[3]={fErrorY2, 0., fErrorZ2};
488 Float_t dx = ((AliTPCclusterMI*)c)->GetX()-GetX();
489 if (TMath::Abs(dx)>0){
490 Float_t ty = TMath::Tan(TMath::ASin(GetSnp()));
492 Float_t dz = dx*TMath::Sqrt(1.+ty*ty)*GetTgl();
496 return AliExternalTrackParam::GetPredictedChi2(p,cov);
499 //_________________________________________________________________________________________
502 Int_t AliTPCseed::Compare(const TObject *o) const {
503 //-----------------------------------------------------------------
504 // This function compares tracks according to the sector - for given sector according z
505 //-----------------------------------------------------------------
506 AliTPCseed *t=(AliTPCseed*)o;
509 if (t->fRelativeSector>fRelativeSector) return -1;
510 if (t->fRelativeSector<fRelativeSector) return 1;
511 Double_t z2 = t->GetZ();
512 Double_t z1 = GetZ();
514 if (z2<z1) return -1;
519 f2 = 1-20*TMath::Sqrt(t->GetSigma1Pt2())/(t->OneOverPt()+0.0066);
520 if (t->fBConstrain) f2=1.2;
523 f1 = 1-20*TMath::Sqrt(GetSigma1Pt2())/(OneOverPt()+0.0066);
525 if (fBConstrain) f1=1.2;
527 if (t->GetNumberOfClusters()*f2 <GetNumberOfClusters()*f1) return -1;
535 //_____________________________________________________________________________
536 Bool_t AliTPCseed::Update(const AliCluster *c, Double_t chisq, Int_t index)
538 //-----------------------------------------------------------------
539 // This function associates a cluster with this track.
540 //-----------------------------------------------------------------
541 Int_t n=GetNumberOfClusters();
542 Int_t idx=GetClusterIndex(n); // save the current cluster index
544 AliCluster cl(*c); cl.SetSigmaY2(fErrorY2); cl.SetSigmaZ2(fErrorZ2);
545 Float_t dx = ((AliTPCclusterMI*)c)->GetX()-GetX();
546 if (TMath::Abs(dx)>0){
547 Float_t ty = TMath::Tan(TMath::ASin(GetSnp()));
549 Float_t dz = dx*TMath::Sqrt(1.+ty*ty)*GetTgl();
550 cl.SetY(c->GetY()-dy);
551 cl.SetZ(c->GetZ()-dz);
554 if (!AliTPCtrack::Update(&cl,chisq,index)) return kFALSE;
556 if (fCMeanSigmaY2p30<0){
557 fCMeanSigmaY2p30= c->GetSigmaY2(); //! current mean sigma Y2 - mean30%
558 fCMeanSigmaZ2p30= c->GetSigmaZ2(); //! current mean sigma Z2 - mean30%
559 fCMeanSigmaY2p30R = 1; //! current mean sigma Y2 - mean5%
560 fCMeanSigmaZ2p30R = 1; //! current mean sigma Z2 - mean5%
563 fCMeanSigmaY2p30= 0.70*fCMeanSigmaY2p30 +0.30*c->GetSigmaY2();
564 fCMeanSigmaZ2p30= 0.70*fCMeanSigmaZ2p30 +0.30*c->GetSigmaZ2();
565 if (fCurrentSigmaY2>0){
566 fCMeanSigmaY2p30R = 0.7*fCMeanSigmaY2p30R +0.3*c->GetSigmaY2()/fCurrentSigmaY2;
567 fCMeanSigmaZ2p30R = 0.7*fCMeanSigmaZ2p30R +0.3*c->GetSigmaZ2()/fCurrentSigmaZ2;
571 SetClusterIndex(n,idx); // restore the current cluster index
577 //_____________________________________________________________________________
578 Float_t AliTPCseed::CookdEdx(Double_t low, Double_t up,Int_t i1, Int_t i2, Bool_t /* onlyused */) {
579 //-----------------------------------------------------------------
580 // This funtion calculates dE/dX within the "low" and "up" cuts.
581 //-----------------------------------------------------------------
582 AliTPCParam *param = AliTPCcalibDB::Instance()->GetParameters();
583 Int_t row0 = param->GetNRowLow();
584 Int_t row1 = row0+param->GetNRowUp1();
585 Int_t row2 = row1+param->GetNRowUp2();
589 fDEDX[0] = CookdEdxNorm(low,up,0 ,i1 ,i2, kTRUE,kFALSE,2,0);
590 fDEDX[1] = CookdEdxNorm(low,up,0 ,0 ,row0,kTRUE,kFALSE,2,0);
591 fDEDX[2] = CookdEdxNorm(low,up,0 ,row0,row1,kTRUE,kFALSE,2,0);
592 fDEDX[3] = CookdEdxNorm(low,up,0 ,row1,row2,kTRUE,kFALSE,2,0);
594 fSDEDX[0] = CookdEdxNorm(low,up,0 ,i1 ,i2, kTRUE,kFALSE,2,1);
595 fSDEDX[1] = CookdEdxNorm(low,up,0 ,0 ,row0,kTRUE,kFALSE,2,1);
596 fSDEDX[2] = CookdEdxNorm(low,up,0 ,row0,row1,kTRUE,kFALSE,2,1);
597 fSDEDX[3] = CookdEdxNorm(low,up,0 ,row1,row2,kTRUE,kFALSE,2,1);
599 fNCDEDX[0] = TMath::Nint(CookdEdxNorm(low,up,0 ,i1 ,i2, kTRUE,kFALSE,2,2));
600 fNCDEDX[1] = TMath::Nint(CookdEdxNorm(low,up,0 ,0 ,row0,kTRUE,kFALSE,2,2));
601 fNCDEDX[2] = TMath::Nint(CookdEdxNorm(low,up,0 ,row0,row1,kTRUE,kFALSE,2,2));
602 fNCDEDX[3] = TMath::Nint(CookdEdxNorm(low,up,0 ,row1,row2,kTRUE,kFALSE,2,2));
607 // return CookdEdxNorm(low,up,0,i1,i2,1,0,2);
611 // Float_t angular[200];
612 // Float_t weight[200];
615 // Float_t meanlog = 100.;
617 // Float_t mean[4] = {0,0,0,0};
618 // Float_t sigma[4] = {1000,1000,1000,1000};
619 // Int_t nc[4] = {0,0,0,0};
620 // Float_t norm[4] = {1000,1000,1000,1000};
625 // Float_t gainGG = 1;
626 // if (AliTPCcalibDB::Instance()->GetParameters()){
627 // gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000.; //relative gas gain
631 // for (Int_t of =0; of<4; of++){
632 // for (Int_t i=of+i1;i<i2;i+=4)
634 // Int_t clindex = fIndex[i];
635 // if (clindex<0||clindex&0x8000) continue;
637 // //AliTPCTrackPoint * point = (AliTPCTrackPoint *) arr.At(i);
638 // AliTPCTrackerPoint * point = GetTrackPoint(i);
639 // //AliTPCTrackerPoint * pointm = GetTrackPoint(i-1);
640 // //AliTPCTrackerPoint * pointp = 0;
641 // //if (i<159) pointp = GetTrackPoint(i+1);
643 // if (point==0) continue;
644 // AliTPCclusterMI * cl = fClusterPointer[i];
645 // if (cl==0) continue;
646 // if (onlyused && (!cl->IsUsed(10))) continue;
647 // if (cl->IsUsed(11)) {
651 // Int_t type = cl->GetType();
652 // //if (point->fIsShared){
657 // // if (pointm->fIsShared) continue;
659 // // if (pointp->fIsShared) continue;
661 // if (type<0) continue;
662 // //if (type>10) continue;
663 // //if (point->GetErrY()==0) continue;
664 // //if (point->GetErrZ()==0) continue;
666 // //Float_t ddy = (point->GetY()-cl->GetY())/point->GetErrY();
667 // //Float_t ddz = (point->GetZ()-cl->GetZ())/point->GetErrZ();
668 // //if ((ddy*ddy+ddz*ddz)>10) continue;
671 // // if (point->GetCPoint().GetMax()<5) continue;
672 // if (cl->GetMax()<5) continue;
673 // Float_t angley = point->GetAngleY();
674 // Float_t anglez = point->GetAngleZ();
676 // Float_t rsigmay2 = point->GetSigmaY();
677 // Float_t rsigmaz2 = point->GetSigmaZ();
681 // rsigmay += pointm->GetTPoint().GetSigmaY();
682 // rsigmaz += pointm->GetTPoint().GetSigmaZ();
686 // rsigmay += pointp->GetTPoint().GetSigmaY();
687 // rsigmaz += pointp->GetTPoint().GetSigmaZ();
694 // Float_t rsigma = TMath::Sqrt(rsigmay2*rsigmaz2);
696 // Float_t ampc = 0; // normalization to the number of electrons
698 // // ampc = 1.*point->GetCPoint().GetMax();
699 // ampc = 1.*cl->GetMax();
700 // //ampc = 1.*point->GetCPoint().GetQ();
701 // // AliTPCClusterPoint & p = point->GetCPoint();
702 // // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.6)) - TMath::Abs(p.GetY()/0.6)+0.5);
703 // // Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
705 // // TMath::Abs( Int_t(iz) - iz + 0.5);
706 // //ampc *= 1.15*(1-0.3*dy);
707 // //ampc *= 1.15*(1-0.3*dz);
708 // // Float_t zfactor = (AliTPCReconstructor::GetCtgRange()-0.0004*TMath::Abs(point->GetCPoint().GetZ()));
712 // //ampc = 1.0*point->GetCPoint().GetMax();
713 // ampc = 1.0*cl->GetMax();
714 // //ampc = 1.0*point->GetCPoint().GetQ();
715 // //AliTPCClusterPoint & p = point->GetCPoint();
716 // // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.4)) - TMath::Abs(p.GetY()/0.4)+0.5);
717 // //Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
719 // // TMath::Abs( Int_t(iz) - iz + 0.5);
721 // //ampc *= 1.15*(1-0.3*dy);
722 // //ampc *= 1.15*(1-0.3*dz);
723 // // Float_t zfactor = (1.02-0.000*TMath::Abs(point->GetCPoint().GetZ()));
727 // ampc *= 2.0; // put mean value to channel 50
728 // //ampc *= 0.58; // put mean value to channel 50
730 // // if (type>0) w = 1./(type/2.-0.5);
731 // // Float_t z = TMath::Abs(cl->GetZ());
734 // //ampc /= (1+0.0008*z);
738 // //ampc /= (1+0.0008*z);
740 // //ampc /= (1+0.0008*z);
743 // if (type<0) { //amp at the border - lower weight
748 // if (rsigma>1.5) ampc/=1.3; // if big backround
749 // amp[nc[of]] = ampc;
750 // amp[nc[of]] /=gainGG;
751 // angular[nc[of]] = TMath::Sqrt(1.+angley*angley+anglez*anglez);
752 // weight[nc[of]] = w;
756 // TMath::Sort(nc[of],amp,index,kFALSE);
758 // Float_t sumamp2=0;
760 // //meanlog = amp[index[Int_t(nc[of]*0.33)]];
762 // for (Int_t i=int(nc[of]*low+0.5);i<int(nc[of]*up+0.5);i++){
763 // Float_t ampl = amp[index[i]]/angular[index[i]];
764 // ampl = meanlog*TMath::Log(1.+ampl/meanlog);
766 // sumw += weight[index[i]];
767 // sumamp += weight[index[i]]*ampl;
768 // sumamp2 += weight[index[i]]*ampl*ampl;
769 // norm[of] += angular[index[i]]*weight[index[i]];
776 // mean[of] = sumamp/sumw;
777 // sigma[of] = sumamp2/sumw-mean[of]*mean[of];
778 // if (sigma[of]>0.1)
779 // sigma[of] = TMath::Sqrt(sigma[of]);
783 // mean[of] = (TMath::Exp(mean[of]/meanlog)-1)*meanlog;
784 // //mean *=(1-0.02*(sigma/(mean*0.17)-1.));
785 // //mean *=(1-0.1*(norm-1.));
792 // // mean[0]*= (1-0.05*(sigma[0]/(0.01+mean[1]*0.18)-1));
793 // // mean[1]*= (1-0.05*(sigma[1]/(0.01+mean[0]*0.18)-1));
796 // // dedx = (mean[0]* TMath::Sqrt((1.+nc[0]))+ mean[1]* TMath::Sqrt((1.+nc[1])) )/
797 // // ( TMath::Sqrt((1.+nc[0]))+TMath::Sqrt((1.+nc[1])));
801 // for (Int_t i =0;i<4;i++){
802 // if (nc[i]>2&&nc[i]<1000){
803 // dedx += mean[i] *nc[i];
804 // fSdEdx += sigma[i]*(nc[i]-2);
805 // fMAngular += norm[i] *nc[i];
809 // fDEDX[i] = mean[i];
810 // fSDEDX[i] = sigma[i];
811 // fNCDEDX[i]= nc[i];
823 // // Float_t dedx1 =dedx;
826 // for (Int_t i =0;i<4;i++){
827 // if (nc[i]>2&&nc[i]<1000){
828 // mean[i] = mean[i]*(1-0.12*(sigma[i]/(fSdEdx)-1.));
829 // dedx += mean[i] *nc[i];
831 // fDEDX[i] = mean[i];
841 void AliTPCseed::CookPID()
844 // cook PID information according dEdx
846 Double_t fRange = 10.;
850 Int_t ns=AliPID::kSPECIES;
852 for (Int_t j=0; j<ns; j++) {
853 Double_t mass=AliPID::ParticleMass(j);
855 Double_t dedx=fdEdx/fMIP;
856 Double_t bethe=AliMathBase::BetheBlochAleph(mom/mass);
857 Double_t sigma=fRes*bethe;
859 if (TMath::Abs(dedx-bethe) > fRange*sigma) {
860 fTPCr[j]=TMath::Exp(-0.5*fRange*fRange)/sigma;
864 fTPCr[j]=TMath::Exp(-0.5*(dedx-bethe)*(dedx-bethe)/(sigma*sigma))/sigma;
872 for (Int_t j=0; j<ns; j++) {
873 fTPCr[j]/=sumr; //normalize
877 Double_t AliTPCseed::GetYat(Double_t xk) const {
878 //-----------------------------------------------------------------
879 // This function calculates the Y-coordinate of a track at the plane x=xk.
880 //-----------------------------------------------------------------
881 if (TMath::Abs(GetSnp())>AliTPCReconstructor::GetMaxSnpTrack()) return 0.; //patch 01 jan 06
882 Double_t c1=GetSnp(), r1=TMath::Sqrt((1.-c1)*(1.+c1));
883 Double_t c2=c1+GetC()*(xk-GetX());
884 if (TMath::Abs(c2)>AliTPCReconstructor::GetMaxSnpTrack()) return 0;
885 Double_t r2=TMath::Sqrt((1.-c2)*(1.+c2));
886 return GetY() + (xk-GetX())*(c1+c2)/(r1+r2);
889 void AliTPCseed::SetClusterMapBit(int ibit, Bool_t state)
891 fClusterMap[ibit] = state;
893 Bool_t AliTPCseed::GetClusterMapBit(int ibit)
895 return fClusterMap[ibit];
897 void AliTPCseed::SetSharedMapBit(int ibit, Bool_t state)
899 fSharedMap[ibit] = state;
901 Bool_t AliTPCseed::GetSharedMapBit(int ibit)
903 return fSharedMap[ibit];
910 Float_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){
913 // calculates dedx using the cluster
914 // low - up specify trunc mean range - default form 0-0.7
915 // type - 1 - max charge or 0- total charge in cluster
916 // //2- max no corr 3- total+ correction
917 // i1-i2 - the pad-row range used for calculation
918 // shapeNorm - kTRUE -taken from OCDB
920 // posNorm - usage of pos normalization
921 // padNorm - pad type normalization
922 // returnVal - 0 return mean
924 // - 2 return number of clusters
926 // normalization parametrization taken from AliTPCClusterParam
928 AliTPCClusterParam * parcl = AliTPCcalibDB::Instance()->GetClusterParam();
929 AliTPCParam * param = AliTPCcalibDB::Instance()->GetParameters();
930 if (!parcl) return 0;
931 if (!param) return 0;
932 Int_t row0 = param->GetNRowLow();
933 Int_t row1 = row0+param->GetNRowUp1();
940 Float_t gainGG = 1; // gas gain factor -always enabled
941 Float_t gainPad = 1; // gain map - used always
942 Float_t corrShape = 1; // correction due angular effect, diffusion and electron attachment
943 Float_t corrPos = 1; // local position correction - if posNorm enabled
944 Float_t corrPadType = 1; // pad type correction - if padNorm enabled
945 Float_t corrNorm = 1; // normalization factor - set Q to channel 50
949 if (AliTPCcalibDB::Instance()->GetParameters()){
950 gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000; //relative gas gain
953 const Float_t ktany = TMath::Tan(TMath::DegToRad()*10);
954 const Float_t kedgey =3.;
957 for (Int_t irow=i1; irow<i2; irow++){
958 AliTPCclusterMI* cluster = GetClusterPointer(irow);
959 if (!cluster) continue;
960 if (TMath::Abs(cluster->GetY())>cluster->GetX()*ktany-kedgey) continue; // edge cluster
961 Float_t charge= (type%2)? cluster->GetMax():cluster->GetQ();
963 if (irow>=row0) ipad=1;
964 if (irow>=row1) ipad=2;
968 AliTPCCalPad * gainMap = AliTPCcalibDB::Instance()->GetDedxGainFactor();
971 // Get gainPad - pad by pad calibration
974 AliTPCCalROC * roc = gainMap->GetCalROC(cluster->GetDetector());
975 if (irow < row0) { // IROC
976 factor = roc->GetValue(irow, TMath::Nint(cluster->GetPad()));
978 factor = roc->GetValue(irow - row0, TMath::Nint(cluster->GetPad()));
980 if (factor>0.5) gainPad=factor;
983 //do position and angular normalization
988 AliTPCTrackerPoint * point = GetTrackPoint(irow);
989 Float_t ty = TMath::Abs(point->GetAngleY());
990 Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
992 Float_t dr = (250.-TMath::Abs(cluster->GetZ()))/250.;
993 corrShape = parcl->Qnorm(ipad,type,dr,ty,tz);
999 // Do position normalization - relative distance to
1000 // center of pad- time bin
1002 // corrPos = parcl->QnormPos(ipad,type, cluster->GetPad(),
1003 // cluster->GetTimeBin(), cluster->GetZ(),
1004 // cluster->GetSigmaY2(),cluster->GetSigmaZ2(),
1005 // cluster->GetMax(),cluster->GetQ());
1006 // scaled response function
1007 Float_t yres0 = parcl->GetRMS0(0,ipad,0,0)/param->GetPadPitchWidth(cluster->GetDetector());
1008 Float_t zres0 = parcl->GetRMS0(1,ipad,0,0)/param->GetZWidth();
1011 AliTPCTrackerPoint * point = GetTrackPoint(irow);
1012 Float_t ty = TMath::Abs(point->GetAngleY());
1013 Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
1015 if (type==1) corrPos =
1016 parcl->QmaxCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1017 cluster->GetTimeBin(),ty,tz,yres0,zres0,0.4);
1018 if (type==0) corrPos =
1019 parcl->QtotCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1020 cluster->GetTimeBin(),ty,tz,yres0,zres0,cluster->GetQ(),2.5,0.4);
1022 Float_t dr = (250.-TMath::Abs(cluster->GetZ()))/250.;
1023 Double_t signtgl = (cluster->GetZ()*point->GetAngleZ()>0)? 1:-1;
1024 Double_t p2 = TMath::Abs(TMath::Sin(TMath::ATan(ty)));
1025 Float_t corrHis = parcl->QnormHis(ipad,type,dr,p2,TMath::Abs(point->GetAngleZ())*signtgl);
1026 if (corrHis>0) corrPos*=corrHis;
1033 if (type==0 && parcl->fQpadTnorm) corrPadType = (*parcl->fQpadTnorm)[ipad];
1034 if (type==1 && parcl->fQpadTnorm) corrPadType = (*parcl->fQpadMnorm)[ipad];
1038 corrPadType =param->GetPadPitchLength(cluster->GetDetector(),cluster->GetRow());
1039 //use hardwired - temp fix
1040 if (type==0) corrNorm=3.;
1041 if (type==1) corrNorm=1.;
1047 amp[ncl]/=corrShape;
1048 amp[ncl]/=corrPadType;
1055 if (type>3) return ncl;
1056 TMath::Sort(ncl,amp, indexes, kFALSE);
1058 if (ncl<10) return 0;
1063 Int_t icl0=TMath::Nint(ncl*low);
1064 Int_t icl1=TMath::Nint(ncl*up);
1065 for (Int_t icl=icl0; icl<icl1;icl++){
1066 suma+=amp[indexes[icl]];
1067 suma2+=amp[indexes[icl]]*amp[indexes[icl]];
1070 Float_t mean =suma/sumn;
1071 Float_t rms =TMath::Sqrt(TMath::Abs(suma2/sumn-mean*mean));
1073 // do time-dependent correction for pressure and temperature variations
1074 UInt_t runNumber = 1;
1075 Float_t corrTimeGain = 1;
1076 AliTPCTransform * trans = AliTPCcalibDB::Instance()->GetTransform();
1078 runNumber = trans->GetCurrentRunNumber();
1079 //AliTPCcalibDB::Instance()->SetRun(runNumber);
1080 TObjArray * timeGainSplines = AliTPCcalibDB::Instance()->GetTimeGainSplinesRun(runNumber);
1081 if (timeGainSplines) {
1082 UInt_t time = trans->GetCurrentTimeStamp();
1083 AliSplineFit * fitMIP = (AliSplineFit *) timeGainSplines->At(0);
1084 AliSplineFit * fitFPcosmic = (AliSplineFit *) timeGainSplines->At(1);
1086 corrTimeGain = fitMIP->Eval(time);
1088 if (fitFPcosmic) corrTimeGain = fitFPcosmic->Eval(time); // This value describes the ratio FP-to-MIP, hardwired for the moment
1092 mean /= corrTimeGain;
1093 rms /= corrTimeGain;
1095 if (returnVal==1) return rms;
1096 if (returnVal==2) return ncl;
1100 Float_t AliTPCseed::CookdEdxAnalytical(Double_t low, Double_t up, Int_t type, Int_t i1, Int_t i2, Int_t returnVal){
1103 // calculates dedx using the cluster
1104 // low - up specify trunc mean range - default form 0-0.7
1105 // type - 1 - max charge or 0- total charge in cluster
1106 // //2- max no corr 3- total+ correction
1107 // i1-i2 - the pad-row range used for calculation
1109 // posNorm - usage of pos normalization
1110 // returnVal - 0 return mean
1112 // - 2 return number of clusters
1114 // normalization parametrization taken from AliTPCClusterParam
1116 AliTPCClusterParam * parcl = AliTPCcalibDB::Instance()->GetClusterParam();
1117 AliTPCParam * param = AliTPCcalibDB::Instance()->GetParameters();
1118 if (!parcl) return 0;
1119 if (!param) return 0;
1120 Int_t row0 = param->GetNRowLow();
1121 Int_t row1 = row0+param->GetNRowUp1();
1128 Float_t gainGG = 1; // gas gain factor -always enabled
1129 Float_t gainPad = 1; // gain map - used always
1130 Float_t corrPos = 1; // local position correction - if posNorm enabled
1135 if (AliTPCcalibDB::Instance()->GetParameters()){
1136 gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000; //relative gas gain
1139 const Float_t ktany = TMath::Tan(TMath::DegToRad()*10);
1140 const Float_t kedgey =3.;
1143 for (Int_t irow=i1; irow<i2; irow++){
1144 AliTPCclusterMI* cluster = GetClusterPointer(irow);
1145 if (!cluster) continue;
1146 if (TMath::Abs(cluster->GetY())>cluster->GetX()*ktany-kedgey) continue; // edge cluster
1147 Float_t charge= (type%2)? cluster->GetMax():cluster->GetQ();
1149 if (irow>=row0) ipad=1;
1150 if (irow>=row1) ipad=2;
1154 AliTPCCalPad * gainMap = AliTPCcalibDB::Instance()->GetDedxGainFactor();
1157 // Get gainPad - pad by pad calibration
1160 AliTPCCalROC * roc = gainMap->GetCalROC(cluster->GetDetector());
1161 if (irow < row0) { // IROC
1162 factor = roc->GetValue(irow, TMath::Nint(cluster->GetPad()));
1164 factor = roc->GetValue(irow - row0, TMath::Nint(cluster->GetPad()));
1166 if (factor>0.5) gainPad=factor;
1170 // Do position normalization - relative distance to
1171 // center of pad- time bin
1173 AliTPCTrackerPoint * point = GetTrackPoint(irow);
1174 Float_t ty = TMath::Abs(point->GetAngleY());
1175 Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
1176 Float_t yres0 = parcl->GetRMS0(0,ipad,0,0)/param->GetPadPitchWidth(cluster->GetDetector());
1177 Float_t zres0 = parcl->GetRMS0(1,ipad,0,0)/param->GetZWidth();
1179 yres0 *=parcl->GetQnormCorr(ipad, type,0);
1180 zres0 *=parcl->GetQnormCorr(ipad, type,1);
1181 Float_t effLength=parcl->GetQnormCorr(ipad, type,4)*0.5;
1182 Float_t effDiff =(parcl->GetQnormCorr(ipad, type,2)+parcl->GetQnormCorr(ipad, type,3))*0.5;
1185 corrPos = parcl->GetQnormCorr(ipad, type,5)*
1186 parcl->QmaxCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1187 cluster->GetTimeBin(),ty,tz,yres0,zres0,effLength,effDiff);
1188 Float_t drm = 0.5-TMath::Abs(cluster->GetZ()/250.);
1189 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,0)*drm);
1190 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,1)*ty*ty);
1191 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,2)*tz*tz);
1195 corrPos = parcl->GetQnormCorr(ipad, type,5)*
1196 parcl->QtotCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1197 cluster->GetTimeBin(),ty,tz,yres0,zres0,cluster->GetQ(),2.5,effLength,effDiff);
1199 Float_t drm = 0.5-TMath::Abs(cluster->GetZ()/250.);
1200 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,0)*drm);
1201 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,1)*ty*ty);
1202 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,2)*tz*tz);
1215 if (type>3) return ncl;
1216 TMath::Sort(ncl,amp, indexes, kFALSE);
1218 if (ncl<10) return 0;
1223 Int_t icl0=TMath::Nint(ncl*low);
1224 Int_t icl1=TMath::Nint(ncl*up);
1225 for (Int_t icl=icl0; icl<icl1;icl++){
1226 suma+=amp[indexes[icl]];
1227 suma2+=amp[indexes[icl]]*amp[indexes[icl]];
1230 Float_t mean =suma/sumn;
1231 Float_t rms =TMath::Sqrt(TMath::Abs(suma2/sumn-mean*mean));
1233 // do time-dependent correction for pressure and temperature variations
1234 UInt_t runNumber = 1;
1235 Float_t corrTimeGain = 1;
1236 AliTPCTransform * trans = AliTPCcalibDB::Instance()->GetTransform();
1238 runNumber = trans->GetCurrentRunNumber();
1239 //AliTPCcalibDB::Instance()->SetRun(runNumber);
1240 TObjArray * timeGainSplines = AliTPCcalibDB::Instance()->GetTimeGainSplinesRun(runNumber);
1241 if (timeGainSplines) {
1242 UInt_t time = trans->GetCurrentTimeStamp();
1243 AliSplineFit * fitMIP = (AliSplineFit *) timeGainSplines->At(0);
1244 AliSplineFit * fitFPcosmic = (AliSplineFit *) timeGainSplines->At(1);
1246 corrTimeGain = fitMIP->Eval(time);
1248 if (fitFPcosmic) corrTimeGain = fitFPcosmic->Eval(time); // This value describes the ratio FP-to-MIP, hardwired for the moment
1252 mean /= corrTimeGain;
1253 rms /= corrTimeGain;
1255 if (returnVal==1) return rms;
1256 if (returnVal==2) return ncl;
1263 Float_t AliTPCseed::CookShape(Int_t type){
1267 //-----------------------------------------------------------------
1268 // This funtion calculates dE/dX within the "low" and "up" cuts.
1269 //-----------------------------------------------------------------
1272 for (Int_t i =0; i<160;i++) {
1273 AliTPCTrackerPoint * point = GetTrackPoint(i);
1274 if (point==0) continue;
1276 AliTPCclusterMI * cl = fClusterPointer[i];
1277 if (cl==0) continue;
1279 Float_t rsigmay = TMath::Sqrt(point->GetSigmaY());
1280 Float_t rsigmaz = TMath::Sqrt(point->GetSigmaZ());
1281 Float_t rsigma = (rsigmay+rsigmaz)*0.5;
1282 if (type==0) means+=rsigma;
1283 if (type==1) means+=rsigmay;
1284 if (type==2) means+=rsigmaz;
1287 Float_t mean = (meanc>0)? means/meanc:0;
1293 Int_t AliTPCseed::RefitTrack(AliTPCseed *seed, AliExternalTrackParam * parin, AliExternalTrackParam * parout){
1296 // return value - number of used clusters
1299 const Int_t kMinNcl =10;
1300 AliTPCseed *track=new AliTPCseed(*seed);
1305 for (Int_t i=0;i<15;i++) covar[i]=0;
1308 covar[5]=10.*10./(64.*64.);
1309 covar[9]=10.*10./(64.*64.);
1313 Float_t xmin=1000, xmax=-10000;
1314 Int_t imin=158, imax=0;
1315 for (Int_t i=0;i<160;i++) {
1316 AliTPCclusterMI *c=track->GetClusterPointer(i);
1318 if (sector<0) sector = c->GetDetector();
1319 if (c->GetX()<xmin) xmin=c->GetX();
1320 if (c->GetX()>xmax) xmax=c->GetX();
1324 if(imax-imin<kMinNcl) {
1328 // Not succes to rotate
1329 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1335 // fit from inner to outer row
1337 AliExternalTrackParam paramIn;
1338 AliExternalTrackParam paramOut;
1344 for (Int_t i=imin; i<=imax; i++){
1345 AliTPCclusterMI *c=track->GetClusterPointer(i);
1347 // if (RejectCluster(c,track)) continue;
1348 sector = (c->GetDetector()%18);
1349 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1352 Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
1353 Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
1354 if (!track->PropagateTo(r[0])) {
1357 if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
1359 if (!isOK) { delete track; return 0;}
1360 track->AddCovariance(covar);
1364 for (Int_t i=imax; i>=imin; i--){
1365 AliTPCclusterMI *c=track->GetClusterPointer(i);
1367 //if (RejectCluster(c,track)) continue;
1368 sector = (c->GetDetector()%18);
1369 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1372 Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
1373 Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
1374 if (!track->PropagateTo(r[0])) {
1377 if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
1379 //if (!isOK) { delete track; return 0;}
1381 track->AddCovariance(covar);
1384 for (Int_t i=imin; i<=imax; i++){
1385 AliTPCclusterMI *c=track->GetClusterPointer(i);
1387 sector = (c->GetDetector()%18);
1388 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1392 //if (RejectCluster(c,track)) continue;
1393 Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
1394 Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
1395 if (!track->PropagateTo(r[0])) {
1398 if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
1400 //if (!isOK) { delete track; return 0;}
1405 if (parin) (*parin)=paramIn;
1406 if (parout) (*parout)=paramOut;
1412 Bool_t AliTPCseed::RefitTrack(AliTPCseed* /*seed*/, Bool_t /*out*/){
1424 void AliTPCseed::GetError(AliTPCclusterMI* cluster, AliExternalTrackParam * param,
1425 Double_t& erry, Double_t &errz)
1428 // Get cluster error at given position
1430 AliTPCClusterParam *clusterParam = AliTPCcalibDB::Instance()->GetClusterParam();
1432 Double_t snp1=param->GetSnp();
1433 tany=snp1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1435 Double_t tgl1=param->GetTgl();
1436 tanz=tgl1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1438 Int_t padSize = 0; // short pads
1439 if (cluster->GetDetector() >= 36) {
1440 padSize = 1; // medium pads
1441 if (cluster->GetRow() > 63) padSize = 2; // long pads
1444 erry = clusterParam->GetError0Par( 0, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tany) );
1445 errz = clusterParam->GetError0Par( 1, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tanz) );
1449 void AliTPCseed::GetShape(AliTPCclusterMI* cluster, AliExternalTrackParam * param,
1450 Double_t& rmsy, Double_t &rmsz)
1453 // Get cluster error at given position
1455 AliTPCClusterParam *clusterParam = AliTPCcalibDB::Instance()->GetClusterParam();
1457 Double_t snp1=param->GetSnp();
1458 tany=snp1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1460 Double_t tgl1=param->GetTgl();
1461 tanz=tgl1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1463 Int_t padSize = 0; // short pads
1464 if (cluster->GetDetector() >= 36) {
1465 padSize = 1; // medium pads
1466 if (cluster->GetRow() > 63) padSize = 2; // long pads
1469 rmsy = clusterParam->GetRMSQ( 0, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tany), TMath::Abs(cluster->GetMax()) );
1470 rmsz = clusterParam->GetRMSQ( 1, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tanz) ,TMath::Abs(cluster->GetMax()));
1475 Double_t AliTPCseed::GetQCorrGeom(Float_t ty, Float_t tz){
1477 //ty - tangent in local y direction
1480 Float_t norm=TMath::Sqrt(1+ty*ty+tz*tz);
1484 Double_t AliTPCseed::GetQCorrShape(Int_t ipad, Int_t type,Float_t z, Float_t ty, Float_t tz, Float_t /*q*/, Float_t /*thr*/){
1488 // return value = Q Normalization factor
1489 // Normalization - 1 - shape factor part for full drift
1490 // 1 - electron attachment for 0 drift
1492 // Input parameters:
1494 // ipad - 0 short pad
1501 //z - z position (-250,250 cm)
1502 //ty - tangent in local y direction
1506 AliTPCClusterParam * paramCl = AliTPCcalibDB::Instance()->GetClusterParam();
1507 AliTPCParam * paramTPC = AliTPCcalibDB::Instance()->GetParameters();
1509 if (!paramCl) return 1;
1511 Double_t dr = 250.-TMath::Abs(z);
1512 Double_t sy = paramCl->GetRMS0( 0,ipad, dr, TMath::Abs(ty));
1513 Double_t sy0= paramCl->GetRMS0(0,ipad, 250, 0);
1514 Double_t sz = paramCl->GetRMS0( 1,ipad, dr, TMath::Abs(tz));
1515 Double_t sz0= paramCl->GetRMS0(1,ipad, 250, 0);
1517 Double_t sfactorMax = TMath::Sqrt(sy0*sz0/(sy*sz));
1520 Double_t dt = 1000000*(dr/paramTPC->GetDriftV()); //time in microsecond
1521 Double_t attProb = TMath::Exp(-paramTPC->GetAttCoef()*paramTPC->GetOxyCont()*dt);
1524 if (type==0) return sfactorMax*attProb;