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 // CookdEdxAnalytical(Double_t low, Double_t up, Int_t type, Int_t i1, Int_t i2, Int_t returnVal)
583 AliTPCParam *param = AliTPCcalibDB::Instance()->GetParameters();
585 Int_t row0 = param->GetNRowLow();
586 Int_t row1 = row0+param->GetNRowUp1();
587 Int_t row2 = row1+param->GetNRowUp2();
588 const AliTPCRecoParam * recoParam = AliTPCcalibDB::Instance()->GetTransform()->GetCurrentRecoParam();
590 if (recoParam) useTot = (recoParam->GetUseTotCharge())? 0:1;
594 fDEDX[0] = CookdEdxAnalytical(low,up,useTot ,i1 ,i2, 0);
595 fDEDX[1] = CookdEdxAnalytical(low,up,useTot ,0 ,row0, 0);
596 fDEDX[2] = CookdEdxAnalytical(low,up,useTot ,row0,row1, 0);
597 fDEDX[3] = CookdEdxAnalytical(low,up,useTot ,row1,row2, 0);
599 fSDEDX[0] = CookdEdxAnalytical(low,up,useTot ,i1 ,i2, 1);
600 fSDEDX[1] = CookdEdxAnalytical(low,up,useTot ,0 ,row0, 1);
601 fSDEDX[2] = CookdEdxAnalytical(low,up,useTot ,row0,row1, 1);
602 fSDEDX[3] = CookdEdxAnalytical(low,up,useTot ,row1,row2, 1);
604 fNCDEDX[0] = TMath::Nint(CookdEdxAnalytical(low,up,useTot ,i1 ,i2, 2));
605 fNCDEDX[1] = TMath::Nint(CookdEdxAnalytical(low,up,useTot ,0 ,row0, 2));
606 fNCDEDX[2] = TMath::Nint(CookdEdxAnalytical(low,up,useTot ,row0,row1, 2));
607 fNCDEDX[3] = TMath::Nint(CookdEdxAnalytical(low,up,useTot ,row1,row2, 2));
612 // return CookdEdxNorm(low,up,0,i1,i2,1,0,2);
616 // Float_t angular[200];
617 // Float_t weight[200];
620 // Float_t meanlog = 100.;
622 // Float_t mean[4] = {0,0,0,0};
623 // Float_t sigma[4] = {1000,1000,1000,1000};
624 // Int_t nc[4] = {0,0,0,0};
625 // Float_t norm[4] = {1000,1000,1000,1000};
630 // Float_t gainGG = 1;
631 // if (AliTPCcalibDB::Instance()->GetParameters()){
632 // gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000.; //relative gas gain
636 // for (Int_t of =0; of<4; of++){
637 // for (Int_t i=of+i1;i<i2;i+=4)
639 // Int_t clindex = fIndex[i];
640 // if (clindex<0||clindex&0x8000) continue;
642 // //AliTPCTrackPoint * point = (AliTPCTrackPoint *) arr.At(i);
643 // AliTPCTrackerPoint * point = GetTrackPoint(i);
644 // //AliTPCTrackerPoint * pointm = GetTrackPoint(i-1);
645 // //AliTPCTrackerPoint * pointp = 0;
646 // //if (i<159) pointp = GetTrackPoint(i+1);
648 // if (point==0) continue;
649 // AliTPCclusterMI * cl = fClusterPointer[i];
650 // if (cl==0) continue;
651 // if (onlyused && (!cl->IsUsed(10))) continue;
652 // if (cl->IsUsed(11)) {
656 // Int_t type = cl->GetType();
657 // //if (point->fIsShared){
662 // // if (pointm->fIsShared) continue;
664 // // if (pointp->fIsShared) continue;
666 // if (type<0) continue;
667 // //if (type>10) continue;
668 // //if (point->GetErrY()==0) continue;
669 // //if (point->GetErrZ()==0) continue;
671 // //Float_t ddy = (point->GetY()-cl->GetY())/point->GetErrY();
672 // //Float_t ddz = (point->GetZ()-cl->GetZ())/point->GetErrZ();
673 // //if ((ddy*ddy+ddz*ddz)>10) continue;
676 // // if (point->GetCPoint().GetMax()<5) continue;
677 // if (cl->GetMax()<5) continue;
678 // Float_t angley = point->GetAngleY();
679 // Float_t anglez = point->GetAngleZ();
681 // Float_t rsigmay2 = point->GetSigmaY();
682 // Float_t rsigmaz2 = point->GetSigmaZ();
686 // rsigmay += pointm->GetTPoint().GetSigmaY();
687 // rsigmaz += pointm->GetTPoint().GetSigmaZ();
691 // rsigmay += pointp->GetTPoint().GetSigmaY();
692 // rsigmaz += pointp->GetTPoint().GetSigmaZ();
699 // Float_t rsigma = TMath::Sqrt(rsigmay2*rsigmaz2);
701 // Float_t ampc = 0; // normalization to the number of electrons
703 // // ampc = 1.*point->GetCPoint().GetMax();
704 // ampc = 1.*cl->GetMax();
705 // //ampc = 1.*point->GetCPoint().GetQ();
706 // // AliTPCClusterPoint & p = point->GetCPoint();
707 // // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.6)) - TMath::Abs(p.GetY()/0.6)+0.5);
708 // // Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
710 // // TMath::Abs( Int_t(iz) - iz + 0.5);
711 // //ampc *= 1.15*(1-0.3*dy);
712 // //ampc *= 1.15*(1-0.3*dz);
713 // // Float_t zfactor = (AliTPCReconstructor::GetCtgRange()-0.0004*TMath::Abs(point->GetCPoint().GetZ()));
717 // //ampc = 1.0*point->GetCPoint().GetMax();
718 // ampc = 1.0*cl->GetMax();
719 // //ampc = 1.0*point->GetCPoint().GetQ();
720 // //AliTPCClusterPoint & p = point->GetCPoint();
721 // // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.4)) - TMath::Abs(p.GetY()/0.4)+0.5);
722 // //Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
724 // // TMath::Abs( Int_t(iz) - iz + 0.5);
726 // //ampc *= 1.15*(1-0.3*dy);
727 // //ampc *= 1.15*(1-0.3*dz);
728 // // Float_t zfactor = (1.02-0.000*TMath::Abs(point->GetCPoint().GetZ()));
732 // ampc *= 2.0; // put mean value to channel 50
733 // //ampc *= 0.58; // put mean value to channel 50
735 // // if (type>0) w = 1./(type/2.-0.5);
736 // // Float_t z = TMath::Abs(cl->GetZ());
739 // //ampc /= (1+0.0008*z);
743 // //ampc /= (1+0.0008*z);
745 // //ampc /= (1+0.0008*z);
748 // if (type<0) { //amp at the border - lower weight
753 // if (rsigma>1.5) ampc/=1.3; // if big backround
754 // amp[nc[of]] = ampc;
755 // amp[nc[of]] /=gainGG;
756 // angular[nc[of]] = TMath::Sqrt(1.+angley*angley+anglez*anglez);
757 // weight[nc[of]] = w;
761 // TMath::Sort(nc[of],amp,index,kFALSE);
763 // Float_t sumamp2=0;
765 // //meanlog = amp[index[Int_t(nc[of]*0.33)]];
767 // for (Int_t i=int(nc[of]*low+0.5);i<int(nc[of]*up+0.5);i++){
768 // Float_t ampl = amp[index[i]]/angular[index[i]];
769 // ampl = meanlog*TMath::Log(1.+ampl/meanlog);
771 // sumw += weight[index[i]];
772 // sumamp += weight[index[i]]*ampl;
773 // sumamp2 += weight[index[i]]*ampl*ampl;
774 // norm[of] += angular[index[i]]*weight[index[i]];
781 // mean[of] = sumamp/sumw;
782 // sigma[of] = sumamp2/sumw-mean[of]*mean[of];
783 // if (sigma[of]>0.1)
784 // sigma[of] = TMath::Sqrt(sigma[of]);
788 // mean[of] = (TMath::Exp(mean[of]/meanlog)-1)*meanlog;
789 // //mean *=(1-0.02*(sigma/(mean*0.17)-1.));
790 // //mean *=(1-0.1*(norm-1.));
797 // // mean[0]*= (1-0.05*(sigma[0]/(0.01+mean[1]*0.18)-1));
798 // // mean[1]*= (1-0.05*(sigma[1]/(0.01+mean[0]*0.18)-1));
801 // // dedx = (mean[0]* TMath::Sqrt((1.+nc[0]))+ mean[1]* TMath::Sqrt((1.+nc[1])) )/
802 // // ( TMath::Sqrt((1.+nc[0]))+TMath::Sqrt((1.+nc[1])));
806 // for (Int_t i =0;i<4;i++){
807 // if (nc[i]>2&&nc[i]<1000){
808 // dedx += mean[i] *nc[i];
809 // fSdEdx += sigma[i]*(nc[i]-2);
810 // fMAngular += norm[i] *nc[i];
814 // fDEDX[i] = mean[i];
815 // fSDEDX[i] = sigma[i];
816 // fNCDEDX[i]= nc[i];
828 // // Float_t dedx1 =dedx;
831 // for (Int_t i =0;i<4;i++){
832 // if (nc[i]>2&&nc[i]<1000){
833 // mean[i] = mean[i]*(1-0.12*(sigma[i]/(fSdEdx)-1.));
834 // dedx += mean[i] *nc[i];
836 // fDEDX[i] = mean[i];
846 void AliTPCseed::CookPID()
849 // cook PID information according dEdx
851 Double_t fRange = 10.;
855 Int_t ns=AliPID::kSPECIES;
857 for (Int_t j=0; j<ns; j++) {
858 Double_t mass=AliPID::ParticleMass(j);
860 Double_t dedx=fdEdx/fMIP;
861 Double_t bethe=AliMathBase::BetheBlochAleph(mom/mass);
862 Double_t sigma=fRes*bethe;
864 if (TMath::Abs(dedx-bethe) > fRange*sigma) {
865 fTPCr[j]=TMath::Exp(-0.5*fRange*fRange)/sigma;
869 fTPCr[j]=TMath::Exp(-0.5*(dedx-bethe)*(dedx-bethe)/(sigma*sigma))/sigma;
877 for (Int_t j=0; j<ns; j++) {
878 fTPCr[j]/=sumr; //normalize
882 Double_t AliTPCseed::GetYat(Double_t xk) const {
883 //-----------------------------------------------------------------
884 // This function calculates the Y-coordinate of a track at the plane x=xk.
885 //-----------------------------------------------------------------
886 if (TMath::Abs(GetSnp())>AliTPCReconstructor::GetMaxSnpTrack()) return 0.; //patch 01 jan 06
887 Double_t c1=GetSnp(), r1=TMath::Sqrt((1.-c1)*(1.+c1));
888 Double_t c2=c1+GetC()*(xk-GetX());
889 if (TMath::Abs(c2)>AliTPCReconstructor::GetMaxSnpTrack()) return 0;
890 Double_t r2=TMath::Sqrt((1.-c2)*(1.+c2));
891 return GetY() + (xk-GetX())*(c1+c2)/(r1+r2);
894 void AliTPCseed::SetClusterMapBit(int ibit, Bool_t state)
896 fClusterMap[ibit] = state;
898 Bool_t AliTPCseed::GetClusterMapBit(int ibit)
900 return fClusterMap[ibit];
902 void AliTPCseed::SetSharedMapBit(int ibit, Bool_t state)
904 fSharedMap[ibit] = state;
906 Bool_t AliTPCseed::GetSharedMapBit(int ibit)
908 return fSharedMap[ibit];
915 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){
918 // calculates dedx using the cluster
919 // low - up specify trunc mean range - default form 0-0.7
920 // type - 1 - max charge or 0- total charge in cluster
921 // //2- max no corr 3- total+ correction
922 // i1-i2 - the pad-row range used for calculation
923 // shapeNorm - kTRUE -taken from OCDB
925 // posNorm - usage of pos normalization
926 // padNorm - pad type normalization
927 // returnVal - 0 return mean
929 // - 2 return number of clusters
931 // normalization parametrization taken from AliTPCClusterParam
933 AliTPCClusterParam * parcl = AliTPCcalibDB::Instance()->GetClusterParam();
934 AliTPCParam * param = AliTPCcalibDB::Instance()->GetParameters();
935 if (!parcl) return 0;
936 if (!param) return 0;
937 Int_t row0 = param->GetNRowLow();
938 Int_t row1 = row0+param->GetNRowUp1();
945 Float_t gainGG = 1; // gas gain factor -always enabled
946 Float_t gainPad = 1; // gain map - used always
947 Float_t corrShape = 1; // correction due angular effect, diffusion and electron attachment
948 Float_t corrPos = 1; // local position correction - if posNorm enabled
949 Float_t corrPadType = 1; // pad type correction - if padNorm enabled
950 Float_t corrNorm = 1; // normalization factor - set Q to channel 50
954 if (AliTPCcalibDB::Instance()->GetParameters()){
955 gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000; //relative gas gain
958 const Float_t ktany = TMath::Tan(TMath::DegToRad()*10);
959 const Float_t kedgey =3.;
962 for (Int_t irow=i1; irow<i2; irow++){
963 AliTPCclusterMI* cluster = GetClusterPointer(irow);
964 if (!cluster) continue;
965 if (TMath::Abs(cluster->GetY())>cluster->GetX()*ktany-kedgey) continue; // edge cluster
966 Float_t charge= (type%2)? cluster->GetMax():cluster->GetQ();
968 if (irow>=row0) ipad=1;
969 if (irow>=row1) ipad=2;
973 AliTPCCalPad * gainMap = AliTPCcalibDB::Instance()->GetDedxGainFactor();
976 // Get gainPad - pad by pad calibration
979 AliTPCCalROC * roc = gainMap->GetCalROC(cluster->GetDetector());
980 if (irow < row0) { // IROC
981 factor = roc->GetValue(irow, TMath::Nint(cluster->GetPad()));
983 factor = roc->GetValue(irow - row0, TMath::Nint(cluster->GetPad()));
985 if (factor>0.5) gainPad=factor;
988 //do position and angular normalization
993 AliTPCTrackerPoint * point = GetTrackPoint(irow);
994 Float_t ty = TMath::Abs(point->GetAngleY());
995 Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
997 Float_t dr = (250.-TMath::Abs(cluster->GetZ()))/250.;
998 corrShape = parcl->Qnorm(ipad,type,dr,ty,tz);
1004 // Do position normalization - relative distance to
1005 // center of pad- time bin
1007 // corrPos = parcl->QnormPos(ipad,type, cluster->GetPad(),
1008 // cluster->GetTimeBin(), cluster->GetZ(),
1009 // cluster->GetSigmaY2(),cluster->GetSigmaZ2(),
1010 // cluster->GetMax(),cluster->GetQ());
1011 // scaled response function
1012 Float_t yres0 = parcl->GetRMS0(0,ipad,0,0)/param->GetPadPitchWidth(cluster->GetDetector());
1013 Float_t zres0 = parcl->GetRMS0(1,ipad,0,0)/param->GetZWidth();
1016 AliTPCTrackerPoint * point = GetTrackPoint(irow);
1017 Float_t ty = TMath::Abs(point->GetAngleY());
1018 Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
1020 if (type==1) corrPos =
1021 parcl->QmaxCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1022 cluster->GetTimeBin(),ty,tz,yres0,zres0,0.4);
1023 if (type==0) corrPos =
1024 parcl->QtotCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1025 cluster->GetTimeBin(),ty,tz,yres0,zres0,cluster->GetQ(),2.5,0.4);
1027 Float_t dr = (250.-TMath::Abs(cluster->GetZ()))/250.;
1028 Double_t signtgl = (cluster->GetZ()*point->GetAngleZ()>0)? 1:-1;
1029 Double_t p2 = TMath::Abs(TMath::Sin(TMath::ATan(ty)));
1030 Float_t corrHis = parcl->QnormHis(ipad,type,dr,p2,TMath::Abs(point->GetAngleZ())*signtgl);
1031 if (corrHis>0) corrPos*=corrHis;
1038 if (type==0 && parcl->QpadTnorm()) corrPadType = (*parcl->QpadTnorm())[ipad];
1039 if (type==1 && parcl->QpadMnorm()) corrPadType = (*parcl->QpadMnorm())[ipad];
1043 corrPadType =param->GetPadPitchLength(cluster->GetDetector(),cluster->GetRow());
1044 //use hardwired - temp fix
1045 if (type==0) corrNorm=3.;
1046 if (type==1) corrNorm=1.;
1052 amp[ncl]/=corrShape;
1053 amp[ncl]/=corrPadType;
1060 if (type>3) return ncl;
1061 TMath::Sort(ncl,amp, indexes, kFALSE);
1063 if (ncl<10) return 0;
1068 Int_t icl0=TMath::Nint(ncl*low);
1069 Int_t icl1=TMath::Nint(ncl*up);
1070 for (Int_t icl=icl0; icl<icl1;icl++){
1071 suma+=amp[indexes[icl]];
1072 suma2+=amp[indexes[icl]]*amp[indexes[icl]];
1075 Float_t mean =suma/sumn;
1076 Float_t rms =TMath::Sqrt(TMath::Abs(suma2/sumn-mean*mean));
1078 // do time-dependent correction for pressure and temperature variations
1079 UInt_t runNumber = 1;
1080 Float_t corrTimeGain = 1;
1081 AliTPCTransform * trans = AliTPCcalibDB::Instance()->GetTransform();
1082 const AliTPCRecoParam * recoParam = AliTPCcalibDB::Instance()->GetTransform()->GetCurrentRecoParam();
1083 if (trans && recoParam->GetUseGainCorrectionTime()>0) {
1084 runNumber = trans->GetCurrentRunNumber();
1085 //AliTPCcalibDB::Instance()->SetRun(runNumber);
1086 TObjArray * timeGainSplines = AliTPCcalibDB::Instance()->GetTimeGainSplinesRun(runNumber);
1087 if (timeGainSplines) {
1088 UInt_t time = trans->GetCurrentTimeStamp();
1089 AliSplineFit * fitMIP = (AliSplineFit *) timeGainSplines->At(0);
1090 AliSplineFit * fitFPcosmic = (AliSplineFit *) timeGainSplines->At(1);
1092 corrTimeGain = fitMIP->Eval(time);
1094 if (fitFPcosmic) corrTimeGain = fitFPcosmic->Eval(time); // This value describes the ratio FP-to-MIP, hardwired for the moment
1098 mean /= corrTimeGain;
1099 rms /= corrTimeGain;
1101 if (returnVal==1) return rms;
1102 if (returnVal==2) return ncl;
1106 Float_t AliTPCseed::CookdEdxAnalytical(Double_t low, Double_t up, Int_t type, Int_t i1, Int_t i2, Int_t returnVal){
1109 // calculates dedx using the cluster
1110 // low - up specify trunc mean range - default form 0-0.7
1111 // type - 1 - max charge or 0- total charge in cluster
1112 // //2- max no corr 3- total+ correction
1113 // i1-i2 - the pad-row range used for calculation
1115 // posNorm - usage of pos normalization
1116 // returnVal - 0 return mean
1118 // - 2 return number of clusters
1120 // normalization parametrization taken from AliTPCClusterParam
1122 AliTPCClusterParam * parcl = AliTPCcalibDB::Instance()->GetClusterParam();
1123 AliTPCParam * param = AliTPCcalibDB::Instance()->GetParameters();
1124 if (!parcl) return 0;
1125 if (!param) return 0;
1126 Int_t row0 = param->GetNRowLow();
1127 Int_t row1 = row0+param->GetNRowUp1();
1134 Float_t gainGG = 1; // gas gain factor -always enabled
1135 Float_t gainPad = 1; // gain map - used always
1136 Float_t corrPos = 1; // local position correction - if posNorm enabled
1141 if (AliTPCcalibDB::Instance()->GetParameters()){
1142 gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000; //relative gas gain
1145 const Float_t ktany = TMath::Tan(TMath::DegToRad()*10);
1146 const Float_t kedgey =3.;
1149 for (Int_t irow=i1; irow<i2; irow++){
1150 AliTPCclusterMI* cluster = GetClusterPointer(irow);
1151 if (!cluster) continue;
1152 if (TMath::Abs(cluster->GetY())>cluster->GetX()*ktany-kedgey) continue; // edge cluster
1153 Float_t charge= (type%2)? cluster->GetMax():cluster->GetQ();
1155 if (irow>=row0) ipad=1;
1156 if (irow>=row1) ipad=2;
1160 AliTPCCalPad * gainMap = AliTPCcalibDB::Instance()->GetDedxGainFactor();
1163 // Get gainPad - pad by pad calibration
1166 AliTPCCalROC * roc = gainMap->GetCalROC(cluster->GetDetector());
1167 if (irow < row0) { // IROC
1168 factor = roc->GetValue(irow, TMath::Nint(cluster->GetPad()));
1170 factor = roc->GetValue(irow - row0, TMath::Nint(cluster->GetPad()));
1172 if (factor>0.5) gainPad=factor;
1176 // Do position normalization - relative distance to
1177 // center of pad- time bin
1179 AliTPCTrackerPoint * point = GetTrackPoint(irow);
1180 Float_t ty = TMath::Abs(point->GetAngleY());
1181 Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
1182 Float_t yres0 = parcl->GetRMS0(0,ipad,0,0)/param->GetPadPitchWidth(cluster->GetDetector());
1183 Float_t zres0 = parcl->GetRMS0(1,ipad,0,0)/param->GetZWidth();
1185 yres0 *=parcl->GetQnormCorr(ipad, type,0);
1186 zres0 *=parcl->GetQnormCorr(ipad, type,1);
1187 Float_t effLength=parcl->GetQnormCorr(ipad, type,4)*0.5;
1188 Float_t effDiff =(parcl->GetQnormCorr(ipad, type,2)+parcl->GetQnormCorr(ipad, type,3))*0.5;
1191 corrPos = parcl->GetQnormCorr(ipad, type,5)*
1192 parcl->QmaxCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1193 cluster->GetTimeBin(),ty,tz,yres0,zres0,effLength,effDiff);
1194 Float_t drm = 0.5-TMath::Abs(cluster->GetZ()/250.);
1195 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,0)*drm);
1196 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,1)*ty*ty);
1197 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,2)*tz*tz);
1201 corrPos = parcl->GetQnormCorr(ipad, type,5)*
1202 parcl->QtotCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1203 cluster->GetTimeBin(),ty,tz,yres0,zres0,cluster->GetQ(),2.5,effLength,effDiff);
1205 Float_t drm = 0.5-TMath::Abs(cluster->GetZ()/250.);
1206 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,0)*drm);
1207 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,1)*ty*ty);
1208 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,2)*tz*tz);
1221 if (type>3) return ncl;
1222 TMath::Sort(ncl,amp, indexes, kFALSE);
1224 if (ncl<10) return 0;
1229 Int_t icl0=TMath::Nint(ncl*low);
1230 Int_t icl1=TMath::Nint(ncl*up);
1231 for (Int_t icl=icl0; icl<icl1;icl++){
1232 suma+=amp[indexes[icl]];
1233 suma2+=amp[indexes[icl]]*amp[indexes[icl]];
1236 Float_t mean =suma/sumn;
1237 Float_t rms =TMath::Sqrt(TMath::Abs(suma2/sumn-mean*mean));
1239 // do time-dependent correction for pressure and temperature variations
1240 UInt_t runNumber = 1;
1241 Float_t corrTimeGain = 1;
1242 AliTPCTransform * trans = AliTPCcalibDB::Instance()->GetTransform();
1243 const AliTPCRecoParam * recoParam = AliTPCcalibDB::Instance()->GetTransform()->GetCurrentRecoParam();
1244 if (trans && recoParam->GetUseGainCorrectionTime()>0) {
1245 runNumber = trans->GetCurrentRunNumber();
1246 //AliTPCcalibDB::Instance()->SetRun(runNumber);
1247 TObjArray * timeGainSplines = AliTPCcalibDB::Instance()->GetTimeGainSplinesRun(runNumber);
1248 if (timeGainSplines) {
1249 UInt_t time = trans->GetCurrentTimeStamp();
1250 AliSplineFit * fitMIP = (AliSplineFit *) timeGainSplines->At(0);
1251 AliSplineFit * fitFPcosmic = (AliSplineFit *) timeGainSplines->At(1);
1253 corrTimeGain = fitMIP->Eval(time);
1255 if (fitFPcosmic) corrTimeGain = fitFPcosmic->Eval(time); // This value describes the ratio FP-to-MIP, hardwired for the moment
1259 mean /= corrTimeGain;
1260 rms /= corrTimeGain;
1262 if (returnVal==1) return rms;
1263 if (returnVal==2) return ncl;
1270 Float_t AliTPCseed::CookShape(Int_t type){
1274 //-----------------------------------------------------------------
1275 // This funtion calculates dE/dX within the "low" and "up" cuts.
1276 //-----------------------------------------------------------------
1279 for (Int_t i =0; i<160;i++) {
1280 AliTPCTrackerPoint * point = GetTrackPoint(i);
1281 if (point==0) continue;
1283 AliTPCclusterMI * cl = fClusterPointer[i];
1284 if (cl==0) continue;
1286 Float_t rsigmay = TMath::Sqrt(point->GetSigmaY());
1287 Float_t rsigmaz = TMath::Sqrt(point->GetSigmaZ());
1288 Float_t rsigma = (rsigmay+rsigmaz)*0.5;
1289 if (type==0) means+=rsigma;
1290 if (type==1) means+=rsigmay;
1291 if (type==2) means+=rsigmaz;
1294 Float_t mean = (meanc>0)? means/meanc:0;
1300 Int_t AliTPCseed::RefitTrack(AliTPCseed *seed, AliExternalTrackParam * parin, AliExternalTrackParam * parout){
1303 // return value - number of used clusters
1306 const Int_t kMinNcl =10;
1307 AliTPCseed *track=new AliTPCseed(*seed);
1312 for (Int_t i=0;i<15;i++) covar[i]=0;
1315 covar[5]=10.*10./(64.*64.);
1316 covar[9]=10.*10./(64.*64.);
1320 Float_t xmin=1000, xmax=-10000;
1321 Int_t imin=158, imax=0;
1322 for (Int_t i=0;i<160;i++) {
1323 AliTPCclusterMI *c=track->GetClusterPointer(i);
1325 if (sector<0) sector = c->GetDetector();
1326 if (c->GetX()<xmin) xmin=c->GetX();
1327 if (c->GetX()>xmax) xmax=c->GetX();
1331 if(imax-imin<kMinNcl) {
1335 // Not succes to rotate
1336 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1342 // fit from inner to outer row
1344 AliExternalTrackParam paramIn;
1345 AliExternalTrackParam paramOut;
1351 for (Int_t i=imin; i<=imax; i++){
1352 AliTPCclusterMI *c=track->GetClusterPointer(i);
1354 // if (RejectCluster(c,track)) continue;
1355 sector = (c->GetDetector()%18);
1356 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1359 Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
1360 Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
1361 if (!track->PropagateTo(r[0])) {
1364 if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
1366 if (!isOK) { delete track; return 0;}
1367 track->AddCovariance(covar);
1371 for (Int_t i=imax; i>=imin; i--){
1372 AliTPCclusterMI *c=track->GetClusterPointer(i);
1374 //if (RejectCluster(c,track)) continue;
1375 sector = (c->GetDetector()%18);
1376 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1379 Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
1380 Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
1381 if (!track->PropagateTo(r[0])) {
1384 if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
1386 //if (!isOK) { delete track; return 0;}
1388 track->AddCovariance(covar);
1391 for (Int_t i=imin; i<=imax; i++){
1392 AliTPCclusterMI *c=track->GetClusterPointer(i);
1394 sector = (c->GetDetector()%18);
1395 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1399 //if (RejectCluster(c,track)) continue;
1400 Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
1401 Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
1402 if (!track->PropagateTo(r[0])) {
1405 if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
1407 //if (!isOK) { delete track; return 0;}
1412 if (parin) (*parin)=paramIn;
1413 if (parout) (*parout)=paramOut;
1420 Bool_t AliTPCseed::RefitTrack(AliTPCseed* /*seed*/, Bool_t /*out*/){
1432 void AliTPCseed::GetError(AliTPCclusterMI* cluster, AliExternalTrackParam * param,
1433 Double_t& erry, Double_t &errz)
1436 // Get cluster error at given position
1438 AliTPCClusterParam *clusterParam = AliTPCcalibDB::Instance()->GetClusterParam();
1440 Double_t snp1=param->GetSnp();
1441 tany=snp1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1443 Double_t tgl1=param->GetTgl();
1444 tanz=tgl1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1446 Int_t padSize = 0; // short pads
1447 if (cluster->GetDetector() >= 36) {
1448 padSize = 1; // medium pads
1449 if (cluster->GetRow() > 63) padSize = 2; // long pads
1452 erry = clusterParam->GetError0Par( 0, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tany) );
1453 errz = clusterParam->GetError0Par( 1, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tanz) );
1457 void AliTPCseed::GetShape(AliTPCclusterMI* cluster, AliExternalTrackParam * param,
1458 Double_t& rmsy, Double_t &rmsz)
1461 // Get cluster error at given position
1463 AliTPCClusterParam *clusterParam = AliTPCcalibDB::Instance()->GetClusterParam();
1465 Double_t snp1=param->GetSnp();
1466 tany=snp1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1468 Double_t tgl1=param->GetTgl();
1469 tanz=tgl1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1471 Int_t padSize = 0; // short pads
1472 if (cluster->GetDetector() >= 36) {
1473 padSize = 1; // medium pads
1474 if (cluster->GetRow() > 63) padSize = 2; // long pads
1477 rmsy = clusterParam->GetRMSQ( 0, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tany), TMath::Abs(cluster->GetMax()) );
1478 rmsz = clusterParam->GetRMSQ( 1, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tanz) ,TMath::Abs(cluster->GetMax()));
1483 Double_t AliTPCseed::GetQCorrGeom(Float_t ty, Float_t tz){
1485 //ty - tangent in local y direction
1488 Float_t norm=TMath::Sqrt(1+ty*ty+tz*tz);
1492 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*/){
1496 // return value = Q Normalization factor
1497 // Normalization - 1 - shape factor part for full drift
1498 // 1 - electron attachment for 0 drift
1500 // Input parameters:
1502 // ipad - 0 short pad
1509 //z - z position (-250,250 cm)
1510 //ty - tangent in local y direction
1514 AliTPCClusterParam * paramCl = AliTPCcalibDB::Instance()->GetClusterParam();
1515 AliTPCParam * paramTPC = AliTPCcalibDB::Instance()->GetParameters();
1517 if (!paramCl) return 1;
1519 Double_t dr = 250.-TMath::Abs(z);
1520 Double_t sy = paramCl->GetRMS0( 0,ipad, dr, TMath::Abs(ty));
1521 Double_t sy0= paramCl->GetRMS0(0,ipad, 250, 0);
1522 Double_t sz = paramCl->GetRMS0( 1,ipad, dr, TMath::Abs(tz));
1523 Double_t sz0= paramCl->GetRMS0(1,ipad, 250, 0);
1525 Double_t sfactorMax = TMath::Sqrt(sy0*sz0/(sy*sz));
1528 Double_t dt = 1000000*(dr/paramTPC->GetDriftV()); //time in microsecond
1529 Double_t attProb = TMath::Exp(-paramTPC->GetAttCoef()*paramTPC->GetOxyCont()*dt);
1532 if (type==0) return sfactorMax*attProb;