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 *
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12 * about the suitability of this software for any purpose. It is *
13 * provided "as is" without express or implied warranty. *
14 **************************************************************************/
19 //-----------------------------------------------------------------
21 // Implementation of the TPC seed class
22 // This class is used by the AliTPCtracker class
23 // Origin: Marian Ivanov, CERN, Marian.Ivanov@cern.ch
24 //-----------------------------------------------------------------
26 #include "TClonesArray.h"
27 #include "TGraphErrors.h"
28 #include "AliTPCseed.h"
29 #include "AliTPCReconstructor.h"
30 #include "AliTPCClusterParam.h"
31 #include "AliTPCCalPad.h"
32 #include "AliTPCCalROC.h"
33 #include "AliTPCcalibDB.h"
34 #include "AliTPCParam.h"
35 #include "AliMathBase.h"
36 #include "AliTPCTransform.h"
37 #include "AliSplineFit.h"
38 #include "AliCDBManager.h"
39 #include "AliTPCcalibDButil.h"
40 #include <AliCTPTimeParams.h>
47 AliTPCseed::AliTPCseed():
50 fClusterOwner(kFALSE),
54 fCurrentSigmaY2(1e10),
55 fCurrentSigmaZ2(1e10),
56 fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
57 fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
58 fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
59 fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
64 fCurrentClusterIndex1(-1),
78 for (Int_t i=0;i<160;i++) SetClusterIndex2(i,-3);
79 for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
80 for (Int_t i=0;i<3;i++) fKinkIndexes[i]=0;
81 for (Int_t i=0;i<AliPID::kSPECIES;i++) fTPCr[i]=0.2;
82 for (Int_t i=0;i<4;i++) {
86 fNCDEDXInclThres[i] = 0;
88 for (Int_t i=0;i<9;i++) fDEDX[i] = 0;
89 for (Int_t i=0;i<12;i++) fOverlapLabels[i] = -1;
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),
121 //---------------------
122 // dummy copy constructor
123 //-------------------------
124 for (Int_t i=0;i<160;i++) {
125 fClusterPointer[i]=0;
127 if (s.fClusterPointer[i])
128 fClusterPointer[i] = new AliTPCclusterMI(*(s.fClusterPointer[i]));
130 fClusterPointer[i] = s.fClusterPointer[i];
132 fTrackPoints[i] = s.fTrackPoints[i];
134 for (Int_t i=0;i<160;i++) fIndex[i] = s.fIndex[i];
135 for (Int_t i=0;i<AliPID::kSPECIES;i++) fTPCr[i]=s.fTPCr[i];
136 for (Int_t i=0;i<4;i++) {
137 fDEDX[i] = s.fDEDX[i];
138 fSDEDX[i] = s.fSDEDX[i];
139 fNCDEDX[i] = s.fNCDEDX[i];
140 fNCDEDXInclThres[i] = s.fNCDEDXInclThres[i];
142 for (Int_t i=0;i<9;i++) fDEDX[i] = 0;
144 for (Int_t i=0;i<12;i++) fOverlapLabels[i] = s.fOverlapLabels[i];
149 AliTPCseed::AliTPCseed(const AliTPCtrack &t):
152 fClusterOwner(kFALSE),
158 fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
159 fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
160 fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
161 fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
164 fCurrentCluster(0x0),
165 fCurrentClusterIndex1(-1),
179 // Constructor from AliTPCtrack
182 for (Int_t i=0;i<5;i++) fTPCr[i]=0.2;
183 for (Int_t i=0;i<160;i++) {
184 fClusterPointer[i] = 0;
185 Int_t index = t.GetClusterIndex(i);
187 SetClusterIndex2(i,index);
190 SetClusterIndex2(i,-3);
193 for (Int_t i=0;i<4;i++) {
197 fNCDEDXInclThres[i] = 0;
199 for (Int_t i=0;i<9;i++) fDEDX[i] = fDEDX[i];
201 for (Int_t i=0;i<12;i++) fOverlapLabels[i] = -1;
204 AliTPCseed::AliTPCseed(Double_t xr, Double_t alpha, const Double_t xx[5],
205 const Double_t cc[15], Int_t index):
206 AliTPCtrack(xr, alpha, xx, cc, index),
208 fClusterOwner(kFALSE),
214 fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
215 fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
216 fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
217 fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
220 fCurrentCluster(0x0),
221 fCurrentClusterIndex1(-1),
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++) {
245 fNCDEDXInclThres[i] = 0;
247 for (Int_t i=0;i<9;i++) fDEDX[i] = 0;
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
268 // don't touch pool ID
271 AliTPCtrack::operator=(param);
273 fClusterOwner = param.fClusterOwner;
274 if (!fClusterOwner) for(Int_t i = 0;i<160;++i)fClusterPointer[i] = param.fClusterPointer[i];
275 else for(Int_t i = 0;i<160;++i) {
276 delete fClusterPointer[i];
277 fClusterPointer[i] = new AliTPCclusterMI(*(param.fClusterPointer[i]));
279 // leave out fPoint, they are also not copied in the copy ctor...
280 // but deleted in the dtor... strange...
282 fSector = param.fSector;
283 fRelativeSector = param.fRelativeSector;
284 fCurrentSigmaY2 = param.fCurrentSigmaY2;
285 fCurrentSigmaZ2 = param.fCurrentSigmaZ2;
286 fErrorY2 = param.fErrorY2;
287 fErrorZ2 = param.fErrorZ2;
288 fCurrentCluster = param.fCurrentCluster; // this is not allocated by AliTPCSeed
289 fCurrentClusterIndex1 = param.fCurrentClusterIndex1;
290 fInDead = param.fInDead;
291 fIsSeeding = param.fIsSeeding;
292 fNoCluster = param.fNoCluster;
294 fBSigned = param.fBSigned;
295 for(Int_t i = 0;i<4;++i){
296 fDEDX[i] = param.fDEDX[i];
297 fSDEDX[i] = param.fSDEDX[i];
298 fNCDEDX[i] = param.fNCDEDX[i];
299 fNCDEDXInclThres[i] = param.fNCDEDXInclThres[i];
301 for (Int_t i=0;i<9;i++) fDEDX[i] = 0;
303 for(Int_t i = 0;i<AliPID::kSPECIES;++i)fTPCr[i] = param.fTPCr[i];
305 fSeedType = param.fSeedType;
306 fSeed1 = param.fSeed1;
307 fSeed2 = param.fSeed2;
308 for(Int_t i = 0;i<12;++i)fOverlapLabels[i] = param.fOverlapLabels[i];
309 fMAngular = param.fMAngular;
310 fCircular = param.fCircular;
311 for(int i = 0;i<160;++i)fTrackPoints[i] = param.fTrackPoints[i];
315 //____________________________________________________
316 AliTPCTrackerPoint * AliTPCseed::GetTrackPoint(Int_t i)
320 return &fTrackPoints[i];
325 Double_t AliTPCseed::GetDensityFirst(Int_t n)
329 // return cluster for n rows bellow first point
330 Int_t nfoundable = 1;
332 for (Int_t i=fLastPoint-1;i>0&&nfoundable<n; i--){
333 Int_t index = GetClusterIndex2(i);
334 if (index!=-1) nfoundable++;
335 if (index>0) nfound++;
337 if (nfoundable<n) return 0;
338 return Double_t(nfound)/Double_t(nfoundable);
343 void AliTPCseed::GetClusterStatistic(Int_t first, Int_t last, Int_t &found, Int_t &foundable, Int_t &shared, Bool_t plus2)
345 // get cluster stat. on given region
350 for (Int_t i=first;i<last; i++){
351 Int_t index = GetClusterIndex2(i);
352 if (index!=-1) foundable++;
353 if (index&0x8000) continue;
354 if (fClusterPointer[i]) {
360 if (fClusterPointer[i]->IsUsed(10)) {
364 if (!plus2) continue; //take also neighborhoud
366 if ( (i>0) && fClusterPointer[i-1]){
367 if (fClusterPointer[i-1]->IsUsed(10)) {
372 if ( fClusterPointer[i+1]){
373 if (fClusterPointer[i+1]->IsUsed(10)) {
381 //Error("AliTPCseed::GetClusterStatistic","problem\n");
389 void AliTPCseed::Reset(Bool_t all)
393 SetNumberOfClusters(0);
396 ResetCovariance(10.);
399 for (Int_t i=0;i<8;i++){
400 delete [] fTrackPoints[i];
408 for (Int_t i=200;i--;) SetClusterIndex2(i,-3);
409 if (!fClusterOwner) for (Int_t i=160;i--;) fClusterPointer[i]=0;
410 else for (Int_t i=160;i--;) {delete fClusterPointer[i]; fClusterPointer[i]=0;}
416 void AliTPCseed::Modify(Double_t factor)
419 //------------------------------------------------------------------
420 //This function makes a track forget its history :)
421 //------------------------------------------------------------------
423 ResetCovariance(10.);
426 ResetCovariance(factor);
428 SetNumberOfClusters(0);
432 fCurrentSigmaY2 = 0.000005;
433 fCurrentSigmaZ2 = 0.000005;
442 Int_t AliTPCseed::GetProlongation(Double_t xk, Double_t &y, Double_t & z) const
444 //-----------------------------------------------------------------
445 // This function find proloncation of a track to a reference plane x=xk.
446 // doesn't change internal state of the track
447 //-----------------------------------------------------------------
449 Double_t x1=GetX(), x2=x1+(xk-x1), dx=x2-x1;
451 if (TMath::Abs(GetSnp()+GetC()*dx) >= AliTPCReconstructor::GetMaxSnpTrack()) {
455 // Double_t y1=fP0, z1=fP1;
456 Double_t c1=GetSnp(), r1=sqrt((1.-c1)*(1.+c1));
457 Double_t c2=c1 + GetC()*dx, r2=sqrt((1.-c2)*(1.+c2));
461 //y += dx*(c1+c2)/(r1+r2);
462 //z += dx*(c1+c2)/(c1*r2 + c2*r1)*fP3;
464 Double_t dy = dx*(c1+c2)/(r1+r2);
467 Double_t delta = GetC()*dx*(c1+c2)/(c1*r2 + c2*r1);
469 if (TMath::Abs(delta)>0.0001){
470 dz = fP3*TMath::ASin(delta)/fP4;
472 dz = dx*fP3*(c1+c2)/(c1*r2 + c2*r1);
475 // dz = fP3*AliTPCFastMath::FastAsin(delta)/fP4;
476 dz = GetTgl()*TMath::ASin(delta)/GetC();
486 //_____________________________________________________________________________
487 Double_t AliTPCseed::GetPredictedChi2(const AliCluster *c) const
489 //-----------------------------------------------------------------
490 // This function calculates a predicted chi2 increment.
491 //-----------------------------------------------------------------
492 Double_t p[2]={c->GetY(), c->GetZ()};
493 Double_t cov[3]={fErrorY2, 0., fErrorZ2};
495 Float_t dx = ((AliTPCclusterMI*)c)->GetX()-GetX();
496 if (TMath::Abs(dx)>0){
497 Float_t ty = TMath::Tan(TMath::ASin(GetSnp()));
499 Float_t dz = dx*TMath::Sqrt(1.+ty*ty)*GetTgl();
503 return AliExternalTrackParam::GetPredictedChi2(p,cov);
506 //_________________________________________________________________________________________
509 Int_t AliTPCseed::Compare(const TObject *o) const {
510 //-----------------------------------------------------------------
511 // This function compares tracks according to the sector - for given sector according z
512 //-----------------------------------------------------------------
513 AliTPCseed *t=(AliTPCseed*)o;
516 if (t->fRelativeSector>fRelativeSector) return -1;
517 if (t->fRelativeSector<fRelativeSector) return 1;
518 Double_t z2 = t->GetZ();
519 Double_t z1 = GetZ();
521 if (z2<z1) return -1;
526 f2 = 1-20*TMath::Sqrt(t->GetSigma1Pt2())/(t->OneOverPt()+0.0066);
527 if (t->fBConstrain) f2=1.2;
530 f1 = 1-20*TMath::Sqrt(GetSigma1Pt2())/(OneOverPt()+0.0066);
532 if (fBConstrain) f1=1.2;
534 if (t->GetNumberOfClusters()*f2 <GetNumberOfClusters()*f1) return -1;
542 //_____________________________________________________________________________
543 Bool_t AliTPCseed::Update(const AliCluster *c, Double_t chisq, Int_t index)
545 //-----------------------------------------------------------------
546 // This function associates a cluster with this track.
547 //-----------------------------------------------------------------
548 Int_t n=GetNumberOfClusters();
549 Int_t idx=GetClusterIndex(n); // save the current cluster index
551 AliTPCclusterMI cl(*(AliTPCclusterMI*)c); cl.SetSigmaY2(fErrorY2); cl.SetSigmaZ2(fErrorZ2);
553 AliTPCClusterParam * parcl = AliTPCcalibDB::Instance()->GetClusterParam();
555 Float_t ty = TMath::Tan(TMath::ASin(GetSnp()));
558 Int_t padSize = 0; // short pads
559 if (cl.GetDetector() >= 36) {
560 padSize = 1; // medium pads
561 if (cl.GetRow() > 63) padSize = 2; // long pads
563 Float_t waveCorr = parcl->GetWaveCorrection( padSize, cl.GetZ(), cl.GetMax(),cl.GetPad(), ty );
564 cl.SetY( cl.GetY() - waveCorr );
567 Float_t dx = ((AliTPCclusterMI*)c)->GetX()-GetX();
568 if (TMath::Abs(dx)>0){
570 Float_t dz = dx*TMath::Sqrt(1.+ty*ty)*GetTgl();
571 cl.SetY(cl.GetY()-dy);
572 cl.SetZ(cl.GetZ()-dz);
576 if (!AliTPCtrack::Update(&cl,chisq,index)) return kFALSE;
578 if (fCMeanSigmaY2p30<0){
579 fCMeanSigmaY2p30= c->GetSigmaY2(); //! current mean sigma Y2 - mean30%
580 fCMeanSigmaZ2p30= c->GetSigmaZ2(); //! current mean sigma Z2 - mean30%
581 fCMeanSigmaY2p30R = 1; //! current mean sigma Y2 - mean5%
582 fCMeanSigmaZ2p30R = 1; //! current mean sigma Z2 - mean5%
585 fCMeanSigmaY2p30= 0.70*fCMeanSigmaY2p30 +0.30*c->GetSigmaY2();
586 fCMeanSigmaZ2p30= 0.70*fCMeanSigmaZ2p30 +0.30*c->GetSigmaZ2();
587 if (fCurrentSigmaY2>0){
588 fCMeanSigmaY2p30R = 0.7*fCMeanSigmaY2p30R +0.3*c->GetSigmaY2()/fCurrentSigmaY2;
589 fCMeanSigmaZ2p30R = 0.7*fCMeanSigmaZ2p30R +0.3*c->GetSigmaZ2()/fCurrentSigmaZ2;
593 SetClusterIndex(n,idx); // restore the current cluster index
599 //_____________________________________________________________________________
600 Float_t AliTPCseed::CookdEdx(Double_t low, Double_t up,Int_t i1, Int_t i2, Bool_t /* onlyused */) {
601 //-----------------------------------------------------------------
602 // This funtion calculates dE/dX within the "low" and "up" cuts.
603 //-----------------------------------------------------------------
604 // CookdEdxAnalytical(Double_t low, Double_t up, Int_t type, Int_t i1, Int_t i2, Int_t returnVal)
605 AliTPCParam *param = AliTPCcalibDB::Instance()->GetParameters();
607 Int_t row0 = param->GetNRowLow();
608 Int_t row1 = row0+param->GetNRowUp1();
609 Int_t row2 = row1+param->GetNRowUp2();
610 const AliTPCRecoParam * recoParam = AliTPCcalibDB::Instance()->GetTransform()->GetCurrentRecoParam();
612 if (recoParam) useTot = (recoParam->GetUseTotCharge())? 0:1;
626 CookdEdxAnalytical(low,up,useTot ,i1 ,i2, 0, 2, 0, &i1i2);
628 CookdEdxAnalytical(low,up,kTRUE ,0 ,row0, 0, 2, 0, &irocTot);
629 CookdEdxAnalytical(low,up,kTRUE ,row0,row1, 0, 2, 0, &oroc1Tot);
630 CookdEdxAnalytical(low,up,kTRUE ,row1,row2, 0, 2, 0, &oroc2Tot);
631 CookdEdxAnalytical(low,up,kTRUE ,row0,row2, 0, 2, 0, &forocTot); // full OROC truncated mean
633 CookdEdxAnalytical(low,up,kFALSE ,0 ,row0, 0, 2, 0, &irocMax);
634 CookdEdxAnalytical(low,up,kFALSE ,row0,row1, 0, 2, 0, &oroc1Max);
635 CookdEdxAnalytical(low,up,kFALSE ,row1,row2, 0, 2, 0, &oroc2Max);
636 CookdEdxAnalytical(low,up,kFALSE ,row0,row2, 0, 2, 0, &forocMax); // full OROC truncated mean
640 fDEDX[1] = irocTot(0);
641 fDEDX[2] = oroc1Tot(0);
642 fDEDX[3] = oroc2Tot(0);
643 fDEDX[4] = forocTot(0); // full OROC truncated mean
644 fDEDX[5] = irocMax(0);
645 fDEDX[6] = oroc1Max(0);
646 fDEDX[7] = oroc2Max(0);
647 fDEDX[8] = forocMax(0); // full OROC truncated mean
650 fSDEDX[1] = irocTot(1);
651 fSDEDX[2] = oroc1Tot(1);
652 fSDEDX[3] = oroc2Tot(1);
654 fNCDEDX[0] = TMath::Nint(i1i2(2));
656 fNCDEDX[1] = TMath::Nint( irocTot(2));
657 fNCDEDX[2] = TMath::Nint(oroc1Tot(2));
658 fNCDEDX[3] = TMath::Nint(oroc2Tot(2));
660 fNCDEDXInclThres[0] = TMath::Nint(i1i2(2)+i1i2(9));
661 fNCDEDXInclThres[1] = TMath::Nint( irocTot(2)+ irocTot(9));
662 fNCDEDXInclThres[2] = TMath::Nint(oroc1Tot(2)+oroc1Tot(9));
663 fNCDEDXInclThres[3] = TMath::Nint(oroc2Tot(2)+oroc2Tot(9));
668 // return CookdEdxNorm(low,up,0,i1,i2,1,0,2);
672 // Float_t angular[200];
673 // Float_t weight[200];
676 // Float_t meanlog = 100.;
678 // Float_t mean[4] = {0,0,0,0};
679 // Float_t sigma[4] = {1000,1000,1000,1000};
680 // Int_t nc[4] = {0,0,0,0};
681 // Float_t norm[4] = {1000,1000,1000,1000};
686 // Float_t gainGG = 1;
687 // if (AliTPCcalibDB::Instance()->GetParameters()){
688 // gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000.; //relative gas gain
692 // for (Int_t of =0; of<4; of++){
693 // for (Int_t i=of+i1;i<i2;i+=4)
695 // Int_t clindex = fIndex[i];
696 // if (clindex<0||clindex&0x8000) continue;
698 // //AliTPCTrackPoint * point = (AliTPCTrackPoint *) arr.At(i);
699 // AliTPCTrackerPoint * point = GetTrackPoint(i);
700 // //AliTPCTrackerPoint * pointm = GetTrackPoint(i-1);
701 // //AliTPCTrackerPoint * pointp = 0;
702 // //if (i<159) pointp = GetTrackPoint(i+1);
704 // if (point==0) continue;
705 // AliTPCclusterMI * cl = fClusterPointer[i];
706 // if (cl==0) continue;
707 // if (onlyused && (!cl->IsUsed(10))) continue;
708 // if (cl->IsUsed(11)) {
712 // Int_t type = cl->GetType();
713 // //if (point->fIsShared){
718 // // if (pointm->fIsShared) continue;
720 // // if (pointp->fIsShared) continue;
722 // if (type<0) continue;
723 // //if (type>10) continue;
724 // //if (point->GetErrY()==0) continue;
725 // //if (point->GetErrZ()==0) continue;
727 // //Float_t ddy = (point->GetY()-cl->GetY())/point->GetErrY();
728 // //Float_t ddz = (point->GetZ()-cl->GetZ())/point->GetErrZ();
729 // //if ((ddy*ddy+ddz*ddz)>10) continue;
732 // // if (point->GetCPoint().GetMax()<5) continue;
733 // if (cl->GetMax()<5) continue;
734 // Float_t angley = point->GetAngleY();
735 // Float_t anglez = point->GetAngleZ();
737 // Float_t rsigmay2 = point->GetSigmaY();
738 // Float_t rsigmaz2 = point->GetSigmaZ();
742 // rsigmay += pointm->GetTPoint().GetSigmaY();
743 // rsigmaz += pointm->GetTPoint().GetSigmaZ();
747 // rsigmay += pointp->GetTPoint().GetSigmaY();
748 // rsigmaz += pointp->GetTPoint().GetSigmaZ();
755 // Float_t rsigma = TMath::Sqrt(rsigmay2*rsigmaz2);
757 // Float_t ampc = 0; // normalization to the number of electrons
759 // // ampc = 1.*point->GetCPoint().GetMax();
760 // ampc = 1.*cl->GetMax();
761 // //ampc = 1.*point->GetCPoint().GetQ();
762 // // AliTPCClusterPoint & p = point->GetCPoint();
763 // // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.6)) - TMath::Abs(p.GetY()/0.6)+0.5);
764 // // Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
766 // // TMath::Abs( Int_t(iz) - iz + 0.5);
767 // //ampc *= 1.15*(1-0.3*dy);
768 // //ampc *= 1.15*(1-0.3*dz);
769 // // Float_t zfactor = (AliTPCReconstructor::GetCtgRange()-0.0004*TMath::Abs(point->GetCPoint().GetZ()));
773 // //ampc = 1.0*point->GetCPoint().GetMax();
774 // ampc = 1.0*cl->GetMax();
775 // //ampc = 1.0*point->GetCPoint().GetQ();
776 // //AliTPCClusterPoint & p = point->GetCPoint();
777 // // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.4)) - TMath::Abs(p.GetY()/0.4)+0.5);
778 // //Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
780 // // TMath::Abs( Int_t(iz) - iz + 0.5);
782 // //ampc *= 1.15*(1-0.3*dy);
783 // //ampc *= 1.15*(1-0.3*dz);
784 // // Float_t zfactor = (1.02-0.000*TMath::Abs(point->GetCPoint().GetZ()));
788 // ampc *= 2.0; // put mean value to channel 50
789 // //ampc *= 0.58; // put mean value to channel 50
791 // // if (type>0) w = 1./(type/2.-0.5);
792 // // Float_t z = TMath::Abs(cl->GetZ());
795 // //ampc /= (1+0.0008*z);
799 // //ampc /= (1+0.0008*z);
801 // //ampc /= (1+0.0008*z);
804 // if (type<0) { //amp at the border - lower weight
809 // if (rsigma>1.5) ampc/=1.3; // if big backround
810 // amp[nc[of]] = ampc;
811 // amp[nc[of]] /=gainGG;
812 // angular[nc[of]] = TMath::Sqrt(1.+angley*angley+anglez*anglez);
813 // weight[nc[of]] = w;
817 // TMath::Sort(nc[of],amp,index,kFALSE);
819 // Float_t sumamp2=0;
821 // //meanlog = amp[index[Int_t(nc[of]*0.33)]];
823 // for (Int_t i=int(nc[of]*low+0.5);i<int(nc[of]*up+0.5);i++){
824 // Float_t ampl = amp[index[i]]/angular[index[i]];
825 // ampl = meanlog*TMath::Log(1.+ampl/meanlog);
827 // sumw += weight[index[i]];
828 // sumamp += weight[index[i]]*ampl;
829 // sumamp2 += weight[index[i]]*ampl*ampl;
830 // norm[of] += angular[index[i]]*weight[index[i]];
837 // mean[of] = sumamp/sumw;
838 // sigma[of] = sumamp2/sumw-mean[of]*mean[of];
839 // if (sigma[of]>0.1)
840 // sigma[of] = TMath::Sqrt(sigma[of]);
844 // mean[of] = (TMath::Exp(mean[of]/meanlog)-1)*meanlog;
845 // //mean *=(1-0.02*(sigma/(mean*0.17)-1.));
846 // //mean *=(1-0.1*(norm-1.));
853 // // mean[0]*= (1-0.05*(sigma[0]/(0.01+mean[1]*0.18)-1));
854 // // mean[1]*= (1-0.05*(sigma[1]/(0.01+mean[0]*0.18)-1));
857 // // dedx = (mean[0]* TMath::Sqrt((1.+nc[0]))+ mean[1]* TMath::Sqrt((1.+nc[1])) )/
858 // // ( TMath::Sqrt((1.+nc[0]))+TMath::Sqrt((1.+nc[1])));
862 // for (Int_t i =0;i<4;i++){
863 // if (nc[i]>2&&nc[i]<1000){
864 // dedx += mean[i] *nc[i];
865 // fSdEdx += sigma[i]*(nc[i]-2);
866 // fMAngular += norm[i] *nc[i];
870 // fDEDX[i] = mean[i];
871 // fSDEDX[i] = sigma[i];
872 // fNCDEDX[i]= nc[i];
884 // // Float_t dedx1 =dedx;
887 // for (Int_t i =0;i<4;i++){
888 // if (nc[i]>2&&nc[i]<1000){
889 // mean[i] = mean[i]*(1-0.12*(sigma[i]/(fSdEdx)-1.));
890 // dedx += mean[i] *nc[i];
892 // fDEDX[i] = mean[i];
902 void AliTPCseed::CookPID()
905 // cook PID information according dEdx
907 Double_t fRange = 10.;
911 Int_t ns=AliPID::kSPECIES;
913 for (Int_t j=0; j<ns; j++) {
914 Double_t mass=AliPID::ParticleMass(j);
916 Double_t dedx=fdEdx/fMIP;
917 Double_t bethe=AliMathBase::BetheBlochAleph(mom/mass);
918 Double_t sigma=fRes*bethe;
920 if (TMath::Abs(dedx-bethe) > fRange*sigma) {
921 fTPCr[j]=TMath::Exp(-0.5*fRange*fRange)/sigma;
925 fTPCr[j]=TMath::Exp(-0.5*(dedx-bethe)*(dedx-bethe)/(sigma*sigma))/sigma;
933 for (Int_t j=0; j<ns; j++) {
934 fTPCr[j]/=sumr; //normalize
938 Double_t AliTPCseed::GetYat(Double_t xk) const {
939 //-----------------------------------------------------------------
940 // This function calculates the Y-coordinate of a track at the plane x=xk.
941 //-----------------------------------------------------------------
942 if (TMath::Abs(GetSnp())>AliTPCReconstructor::GetMaxSnpTrack()) return 0.; //patch 01 jan 06
943 Double_t c1=GetSnp(), r1=TMath::Sqrt((1.-c1)*(1.+c1));
944 Double_t c2=c1+GetC()*(xk-GetX());
945 if (TMath::Abs(c2)>AliTPCReconstructor::GetMaxSnpTrack()) return 0;
946 Double_t r2=TMath::Sqrt((1.-c2)*(1.+c2));
947 return GetY() + (xk-GetX())*(c1+c2)/(r1+r2);
952 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){
955 // calculates dedx using the cluster
956 // low - up specify trunc mean range - default form 0-0.7
957 // type - 1 - max charge or 0- total charge in cluster
958 // //2- max no corr 3- total+ correction
959 // i1-i2 - the pad-row range used for calculation
960 // shapeNorm - kTRUE -taken from OCDB
962 // posNorm - usage of pos normalization
963 // padNorm - pad type normalization
964 // returnVal - 0 return mean
966 // - 2 return number of clusters
968 // normalization parametrization taken from AliTPCClusterParam
970 AliTPCClusterParam * parcl = AliTPCcalibDB::Instance()->GetClusterParam();
971 AliTPCParam * param = AliTPCcalibDB::Instance()->GetParameters();
972 if (!parcl) return 0;
973 if (!param) return 0;
974 Int_t row0 = param->GetNRowLow();
975 Int_t row1 = row0+param->GetNRowUp1();
982 Float_t gainGG = 1; // gas gain factor -always enabled
983 Float_t gainPad = 1; // gain map - used always
984 Float_t corrShape = 1; // correction due angular effect, diffusion and electron attachment
985 Float_t corrPos = 1; // local position correction - if posNorm enabled
986 Float_t corrPadType = 1; // pad type correction - if padNorm enabled
987 Float_t corrNorm = 1; // normalization factor - set Q to channel 50
991 if (AliTPCcalibDB::Instance()->GetParameters()){
992 gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000; //relative gas gain
993 gainGG *= AliTPCcalibDB::Instance()->GetParameters()->GetNtot()/36.82;//correction for the ionisation
996 const Float_t ktany = TMath::Tan(TMath::DegToRad()*10);
997 const Float_t kedgey =3.;
1000 for (Int_t irow=i1; irow<i2; irow++){
1001 AliTPCclusterMI* cluster = GetClusterPointer(irow);
1002 if (!cluster) continue;
1003 if (TMath::Abs(cluster->GetY())>cluster->GetX()*ktany-kedgey) continue; // edge cluster
1004 Float_t charge= (type%2)? cluster->GetMax():cluster->GetQ();
1006 if (irow>=row0) ipad=1;
1007 if (irow>=row1) ipad=2;
1011 AliTPCCalPad * gainMap = AliTPCcalibDB::Instance()->GetDedxGainFactor();
1014 // Get gainPad - pad by pad calibration
1017 AliTPCCalROC * roc = gainMap->GetCalROC(cluster->GetDetector());
1018 if (irow < row0) { // IROC
1019 factor = roc->GetValue(irow, TMath::Nint(cluster->GetPad()));
1021 factor = roc->GetValue(irow - row0, TMath::Nint(cluster->GetPad()));
1023 if (factor>0.5) gainPad=factor;
1026 //do position and angular normalization
1031 AliTPCTrackerPoint * point = GetTrackPoint(irow);
1032 Float_t ty = TMath::Abs(point->GetAngleY());
1033 Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
1035 Float_t dr = (250.-TMath::Abs(cluster->GetZ()))/250.;
1036 corrShape = parcl->Qnorm(ipad,type,dr,ty,tz);
1042 // Do position normalization - relative distance to
1043 // center of pad- time bin
1045 // corrPos = parcl->QnormPos(ipad,type, cluster->GetPad(),
1046 // cluster->GetTimeBin(), cluster->GetZ(),
1047 // cluster->GetSigmaY2(),cluster->GetSigmaZ2(),
1048 // cluster->GetMax(),cluster->GetQ());
1049 // scaled response function
1050 Float_t yres0 = parcl->GetRMS0(0,ipad,0,0)/param->GetPadPitchWidth(cluster->GetDetector());
1051 Float_t zres0 = parcl->GetRMS0(1,ipad,0,0)/param->GetZWidth();
1054 AliTPCTrackerPoint * point = GetTrackPoint(irow);
1055 Float_t ty = TMath::Abs(point->GetAngleY());
1056 Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
1058 if (type==1) corrPos =
1059 parcl->QmaxCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1060 cluster->GetTimeBin(),ty,tz,yres0,zres0,0.4);
1061 if (type==0) corrPos =
1062 parcl->QtotCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1063 cluster->GetTimeBin(),ty,tz,yres0,zres0,cluster->GetQ(),2.5,0.4);
1065 Float_t dr = (250.-TMath::Abs(cluster->GetZ()))/250.;
1066 Double_t signtgl = (cluster->GetZ()*point->GetAngleZ()>0)? 1:-1;
1067 Double_t p2 = TMath::Abs(TMath::Sin(TMath::ATan(ty)));
1068 Float_t corrHis = parcl->QnormHis(ipad,type,dr,p2,TMath::Abs(point->GetAngleZ())*signtgl);
1069 if (corrHis>0) corrPos*=corrHis;
1076 if (type==0 && parcl->QpadTnorm()) corrPadType = (*parcl->QpadTnorm())[ipad];
1077 if (type==1 && parcl->QpadMnorm()) corrPadType = (*parcl->QpadMnorm())[ipad];
1081 corrPadType =param->GetPadPitchLength(cluster->GetDetector(),cluster->GetRow());
1082 //use hardwired - temp fix
1083 if (type==0) corrNorm=3.;
1084 if (type==1) corrNorm=1.;
1089 amp[ncl]/=gainGG; // normalized gas gain
1090 amp[ncl]/=gainPad; //
1091 amp[ncl]/=corrShape;
1092 amp[ncl]/=corrPadType;
1099 if (type>3) return ncl;
1100 TMath::Sort(ncl,amp, indexes, kFALSE);
1102 if (ncl<10) return 0;
1107 Int_t icl0=TMath::Nint(ncl*low);
1108 Int_t icl1=TMath::Nint(ncl*up);
1109 for (Int_t icl=icl0; icl<icl1;icl++){
1110 suma+=amp[indexes[icl]];
1111 suma2+=amp[indexes[icl]]*amp[indexes[icl]];
1114 Float_t mean =suma/sumn;
1115 Float_t rms =TMath::Sqrt(TMath::Abs(suma2/sumn-mean*mean));
1117 // do time-dependent correction for pressure and temperature variations
1118 UInt_t runNumber = 1;
1119 Float_t corrTimeGain = 1;
1120 AliTPCTransform * trans = AliTPCcalibDB::Instance()->GetTransform();
1121 const AliTPCRecoParam * recoParam = AliTPCcalibDB::Instance()->GetTransform()->GetCurrentRecoParam();
1122 if (trans && recoParam->GetUseGainCorrectionTime()>0) {
1123 runNumber = trans->GetCurrentRunNumber();
1124 //AliTPCcalibDB::Instance()->SetRun(runNumber);
1125 TObjArray * timeGainSplines = AliTPCcalibDB::Instance()->GetTimeGainSplinesRun(runNumber);
1126 if (timeGainSplines) {
1127 UInt_t time = trans->GetCurrentTimeStamp();
1128 AliSplineFit * fitMIP = (AliSplineFit *) timeGainSplines->At(0);
1129 AliSplineFit * fitFPcosmic = (AliSplineFit *) timeGainSplines->At(1);
1131 corrTimeGain = AliTPCcalibDButil::EvalGraphConst(fitMIP, time);/*fitMIP->Eval(time);*/
1133 if (fitFPcosmic) corrTimeGain = AliTPCcalibDButil::EvalGraphConst(fitFPcosmic, time);/*fitFPcosmic->Eval(time);*/
1137 mean /= corrTimeGain;
1138 rms /= corrTimeGain;
1140 if (returnVal==1) return rms;
1141 if (returnVal==2) return ncl;
1145 Float_t AliTPCseed::CookdEdxAnalytical(Double_t low, Double_t up, Int_t type, Int_t i1, Int_t i2, Int_t returnVal, Int_t rowThres, Int_t mode, TVectorT<float> *returnVec){
1148 // calculates dedx using the cluster
1149 // low - up specify trunc mean range - default form 0-0.7
1150 // type - 1 - max charge or 0- total charge in cluster
1151 // //2- max no corr 3- total+ correction
1152 // i1-i2 - the pad-row range used for calculation
1154 // posNorm - usage of pos normalization
1155 // returnVal - 0 return mean
1157 // - 2 return number of clusters
1159 // - 4 mean upper half
1160 // - 5 mean - lower half
1162 // mode - 0 - linear
1163 // - 1 - logatithmic
1164 // rowThres - number of rows before and after given pad row to check for clusters below threshold
1166 // normalization parametrization taken from AliTPCClusterParam
1168 if (returnVec) returnVec->ResizeTo(10);
1170 AliTPCClusterParam * parcl = AliTPCcalibDB::Instance()->GetClusterParam();
1171 AliTPCParam * param = AliTPCcalibDB::Instance()->GetParameters();
1172 AliTPCTransform * trans = AliTPCcalibDB::Instance()->GetTransform();
1173 const AliTPCRecoParam * recoParam = AliTPCcalibDB::Instance()->GetTransform()->GetCurrentRecoParam();
1174 if (!parcl) return 0;
1175 if (!param) return 0;
1176 Int_t row0 = param->GetNRowLow();
1177 Int_t row1 = row0+param->GetNRowUp1();
1182 Int_t nclBelowThr = 0; // counts number of clusters below threshold
1185 Float_t gainGG = 1; // gas gain factor -always enabled
1186 Float_t gainPad = 1; // gain map - used always
1187 Float_t corrPos = 1; // local position correction - if posNorm enabled
1191 if (AliTPCcalibDB::Instance()->GetParameters()){
1192 gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000; //relative gas gain
1193 gainGG *= AliTPCcalibDB::Instance()->GetParameters()->GetNtot()/36.82;//correction for the ionisation
1196 if (AliTPCcalibDB::Instance()->IsTrgL0()){
1197 // by defualt we assume L1 trigger is used - make a correction in case of L0
1198 AliCTPTimeParams* ctp = AliTPCcalibDB::Instance()->GetCTPTimeParams();
1199 Double_t delay = ctp->GetDelayL1L0()*0.000000025;
1200 delay/=param->GetTSample();
1203 timeCut += recoParam->GetSkipTimeBins();
1206 // extract time-dependent correction for pressure and temperature variations
1208 UInt_t runNumber = 1;
1209 Float_t corrTimeGain = 1;
1210 TObjArray * timeGainSplines = 0x0;
1211 TGraphErrors * grPadEqual = 0x0;
1212 TGraphErrors* grChamberGain[4]={0x0,0x0,0x0,0x0};
1213 TF1* funDipAngle[4]={0x0,0x0,0x0,0x0};
1216 if (recoParam->GetNeighborRowsDedx() == 0) rowThres = 0;
1220 runNumber = trans->GetCurrentRunNumber();
1221 time = trans->GetCurrentTimeStamp();
1222 //AliTPCcalibDB::Instance()->SetRun(runNumber);
1223 timeGainSplines = AliTPCcalibDB::Instance()->GetTimeGainSplinesRun(runNumber);
1224 if (timeGainSplines && recoParam->GetUseGainCorrectionTime()>0) {
1225 AliSplineFit * fitMIP = (AliSplineFit *) timeGainSplines->At(0);
1226 AliSplineFit * fitFPcosmic = (AliSplineFit *) timeGainSplines->At(1);
1228 corrTimeGain = AliTPCcalibDButil::EvalGraphConst(fitMIP, time); /*fitMIP->Eval(time);*/
1230 if (fitFPcosmic) corrTimeGain = AliTPCcalibDButil::EvalGraphConst(fitFPcosmic, time); /*fitFPcosmic->Eval(time); */
1233 if (type==1) grPadEqual = (TGraphErrors * ) timeGainSplines->FindObject("TGRAPHERRORS_MEANQMAX_PADREGIONGAIN_BEAM_ALL");
1234 if (type==0) grPadEqual = (TGraphErrors * ) timeGainSplines->FindObject("TGRAPHERRORS_MEANQTOT_PADREGIONGAIN_BEAM_ALL");
1235 const char* names[4]={"SHORT","MEDIUM","LONG","ABSOLUTE"};
1236 for (Int_t iPadRegion=0; iPadRegion<4; ++iPadRegion) {
1237 grChamberGain[iPadRegion]=(TGraphErrors*)timeGainSplines->FindObject(Form("TGRAPHERRORS_MEAN_CHAMBERGAIN_%s_BEAM_ALL",names[iPadRegion]));
1238 if (type==1) funDipAngle[iPadRegion]=(TF1*)timeGainSplines->FindObject(Form("TF1_QMAX_DIPANGLE_%s_BEAM_ALL",names[iPadRegion]));
1239 if (type==0) funDipAngle[iPadRegion]=(TF1*)timeGainSplines->FindObject(Form("TF1_QTOT_DIPANGLE_%s_BEAM_ALL",names[iPadRegion]));
1244 const Float_t kClusterShapeCut = 1.5; // IMPPRTANT TO DO: move value to AliTPCRecoParam
1245 const Float_t ktany = TMath::Tan(TMath::DegToRad()*10);
1246 const Float_t kedgey =3.;
1249 for (Int_t irow=i1; irow<i2; irow++){
1250 AliTPCclusterMI* cluster = GetClusterPointer(irow);
1251 if (!cluster && irow > 1 && irow < 157) {
1252 Bool_t isClBefore = kFALSE;
1253 Bool_t isClAfter = kFALSE;
1254 for(Int_t ithres = 1; ithres <= rowThres; ithres++) {
1255 AliTPCclusterMI * clusterBefore = GetClusterPointer(irow - ithres);
1256 if (clusterBefore) isClBefore = kTRUE;
1257 AliTPCclusterMI * clusterAfter = GetClusterPointer(irow + ithres);
1258 if (clusterAfter) isClAfter = kTRUE;
1260 if (isClBefore && isClAfter) nclBelowThr++;
1262 if (!cluster) continue;
1263 if (cluster->GetTimeBin()<timeCut) continue; //reject clusters at the gating grid opening
1266 if (TMath::Abs(cluster->GetY())>cluster->GetX()*ktany-kedgey) continue; // edge cluster
1268 AliTPCTrackerPoint * point = GetTrackPoint(irow);
1269 if (point==0) continue;
1270 Float_t rsigmay = TMath::Sqrt(point->GetSigmaY());
1271 if (rsigmay > kClusterShapeCut) continue;
1273 if (cluster->IsUsed(11)) continue; // remove shared clusters for PbPb
1275 Float_t charge= (type%2)? cluster->GetMax():cluster->GetQ();
1277 if (irow>=row0) ipad=1;
1278 if (irow>=row1) ipad=2;
1282 AliTPCCalPad * gainMap = AliTPCcalibDB::Instance()->GetDedxGainFactor();
1285 // Get gainPad - pad by pad calibration
1288 AliTPCCalROC * roc = gainMap->GetCalROC(cluster->GetDetector());
1289 if (irow < row0) { // IROC
1290 factor = roc->GetValue(irow, TMath::Nint(cluster->GetPad()));
1292 factor = roc->GetValue(irow - row0, TMath::Nint(cluster->GetPad()));
1294 if (factor>0.3) gainPad=factor;
1297 // Do position normalization - relative distance to
1298 // center of pad- time bin
1300 Float_t ty = TMath::Abs(point->GetAngleY());
1301 Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
1303 // cut on inclination angle on outer pads <-> to be put to recoParam
1305 if (ty > 1.2 && ipad == 2) continue;
1307 Float_t yres0 = parcl->GetRMS0(0,ipad,0,0)/param->GetPadPitchWidth(cluster->GetDetector());
1308 Float_t zres0 = parcl->GetRMS0(1,ipad,0,0)/param->GetZWidth();
1310 yres0 *=parcl->GetQnormCorr(ipad, type,0);
1311 zres0 *=parcl->GetQnormCorr(ipad, type,1);
1312 Float_t effLength=parcl->GetQnormCorr(ipad, type,4)*0.5;
1313 Float_t effDiff =(parcl->GetQnormCorr(ipad, type,2)+parcl->GetQnormCorr(ipad, type,3))*0.5;
1316 corrPos = parcl->GetQnormCorr(ipad, type,5)*
1317 parcl->QmaxCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1318 cluster->GetTimeBin(),ty,tz,yres0,zres0,effLength,effDiff);
1319 Float_t drm = 0.5-TMath::Abs(cluster->GetZ()/250.);
1320 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,0)*drm);
1321 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,1)*ty*ty);
1322 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,2)*tz*tz);
1326 corrPos = parcl->GetQnormCorr(ipad, type,5)*
1327 parcl->QtotCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
1328 cluster->GetTimeBin(),ty,tz,yres0,zres0,cluster->GetQ(),2.5,effLength,effDiff);
1330 Float_t drm = 0.5-TMath::Abs(cluster->GetZ()/250.);
1331 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,0)*drm);
1332 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,1)*ty*ty);
1333 corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,2)*tz*tz);
1337 // pad region equalization outside of cluster param
1339 Float_t gainEqualPadRegion = 1;
1340 if (grPadEqual && recoParam->GetUseGainCorrectionTime()>0) gainEqualPadRegion = grPadEqual->Eval(ipad);
1342 // chamber-by-chamber equalization outside gain map
1344 Float_t gainChamber = 1;
1345 if (grChamberGain[ipad] && recoParam->GetUseGainCorrectionTime()>0) {
1346 gainChamber = grChamberGain[ipad]->Eval(cluster->GetDetector());
1347 if (gainChamber==0) gainChamber=1; // in case old calibation was used before use no correction
1350 // dip angle correction
1352 Float_t corrDipAngle = 1;
1353 Float_t corrDipAngleAbs = 1;
1354 // if (grDipAngle[ipad]) corrDipAngle = grDipAngle[ipad]->Eval(GetTgl());
1355 Double_t tgl=GetTgl();
1356 if (funDipAngle[ipad]) corrDipAngle = funDipAngle[ipad]->Eval(tgl);
1357 if (funDipAngle[3]) corrDipAngleAbs = funDipAngle[3]->Eval(tgl);
1359 // pressure temperature and high voltage correction
1361 Double_t correctionHVandPT = AliTPCcalibDB::Instance()->GetGainCorrectionHVandPT(time, runNumber,cluster->GetDetector(), 5 , recoParam->GetGainCorrectionHVandPTMode());
1364 amp[ncl]/=gainGG; // nominal gas gain
1365 amp[ncl]/=correctionHVandPT; // correction for the HV and P/T - time dependent
1366 amp[ncl]/=gainPad; //
1368 amp[ncl]/=gainEqualPadRegion;
1369 amp[ncl]/=gainChamber;
1370 amp[ncl]/=corrDipAngle;
1371 amp[ncl]/=corrDipAngleAbs;
1376 if (type==2) return ncl;
1377 TMath::Sort(ncl,amp, indexes, kFALSE);
1379 if (ncl<10) return 0;
1381 Double_t * ampWithBelow = new Double_t[ncl + nclBelowThr];
1382 for(Int_t iCl = 0; iCl < ncl + nclBelowThr; iCl++) {
1383 if (iCl < nclBelowThr) {
1384 ampWithBelow[iCl] = amp[indexes[0]];
1386 ampWithBelow[iCl] = amp[indexes[iCl - nclBelowThr]];
1389 //printf("DEBUG: %i shit %f", nclBelowThr, amp[indexes[0]]);
1396 // upper,and lower part statistic
1397 Float_t sumL=0, sumL2=0, sumLN=0;
1398 Float_t sumD=0, sumD2=0, sumDN=0;
1400 Int_t icl0=TMath::Nint((ncl + nclBelowThr)*low);
1401 Int_t icl1=TMath::Nint((ncl + nclBelowThr)*up);
1402 Int_t iclm=TMath::Nint((ncl + nclBelowThr)*(low +(up+low)*0.5));
1404 for (Int_t icl=icl0; icl<icl1;icl++){
1405 if (ampWithBelow[icl]<0.1) continue;
1406 Double_t camp=ampWithBelow[icl]/corrTimeGain;
1407 if (mode==1) camp= TMath::Log(camp);
1411 suma3+=camp*camp*camp;
1412 sumaS+=TMath::Power(TMath::Abs(camp),1./3.);
1429 Float_t meanD = 0; // lower half mean
1430 if (sumn > 1e-30) mean =suma/sumn;
1431 if (sumLN > 1e-30) meanL =sumL/sumLN;
1432 if (sumDN > 1e-30) meanD =(sumD/sumDN);
1434 Float_t mean =suma/sumn;
1435 Float_t meanL = sumL/sumLN;
1436 Float_t meanD =(sumD/sumDN); // lower half mean
1445 rms = TMath::Sqrt(TMath::Abs(suma2/sumn-mean*mean));
1451 if (mean2>0) mean2=TMath::Power(TMath::Abs(mean2),1./2.);
1452 if (mean3>0) mean3=TMath::Power(TMath::Abs(mean3),1./3.);
1453 if (meanS>0) meanS=TMath::Power(TMath::Abs(meanS),3.);
1455 if (mode==1) mean=TMath::Exp(mean);
1456 if (mode==1) meanL=TMath::Exp(meanL); // upper truncation
1457 if (mode==1) meanD=TMath::Exp(meanD); // lower truncation
1459 delete [] ampWithBelow; //return?
1464 (*returnVec)(0) = mean;
1465 (*returnVec)(1) = rms;
1466 (*returnVec)(2) = ncl;
1467 (*returnVec)(3) = Double_t(nclBelowThr)/Double_t(nclBelowThr+ncl);
1468 (*returnVec)(4) = meanL;
1469 (*returnVec)(5) = meanD;
1470 (*returnVec)(6) = mean2;
1471 (*returnVec)(7) = mean3;
1472 (*returnVec)(8) = meanS;
1473 (*returnVec)(9) = nclBelowThr;
1476 if (returnVal==1) return rms;
1477 if (returnVal==2) return ncl;
1478 if (returnVal==3) return Double_t(nclBelowThr)/Double_t(nclBelowThr+ncl);
1479 if (returnVal==4) return meanL;
1480 if (returnVal==5) return meanD;
1481 if (returnVal==6) return mean2;
1482 if (returnVal==7) return mean3;
1483 if (returnVal==8) return meanS;
1484 if (returnVal==9) return nclBelowThr;
1491 Float_t AliTPCseed::CookShape(Int_t type){
1495 //-----------------------------------------------------------------
1496 // This funtion calculates dE/dX within the "low" and "up" cuts.
1497 //-----------------------------------------------------------------
1500 for (Int_t i =0; i<160;i++) {
1501 AliTPCTrackerPoint * point = GetTrackPoint(i);
1502 if (point==0) continue;
1504 AliTPCclusterMI * cl = fClusterPointer[i];
1505 if (cl==0) continue;
1507 Float_t rsigmay = TMath::Sqrt(point->GetSigmaY());
1508 Float_t rsigmaz = TMath::Sqrt(point->GetSigmaZ());
1509 Float_t rsigma = (rsigmay+rsigmaz)*0.5;
1510 if (type==0) means+=rsigma;
1511 if (type==1) means+=rsigmay;
1512 if (type==2) means+=rsigmaz;
1515 Float_t mean = (meanc>0)? means/meanc:0;
1521 Int_t AliTPCseed::RefitTrack(AliTPCseed *seed, AliExternalTrackParam * parin, AliExternalTrackParam * parout){
1524 // return value - number of used clusters
1527 const Int_t kMinNcl =10;
1528 AliTPCseed *track=new AliTPCseed(*seed);
1533 for (Int_t i=0;i<15;i++) covar[i]=0;
1536 covar[5]=10.*10./(64.*64.);
1537 covar[9]=10.*10./(64.*64.);
1541 Float_t xmin=1000, xmax=-10000;
1542 Int_t imin=158, imax=0;
1543 for (Int_t i=0;i<160;i++) {
1544 AliTPCclusterMI *c=track->GetClusterPointer(i);
1545 if (!c || (track->GetClusterIndex(i) & 0x8000)) continue;
1546 if (sector<0) sector = c->GetDetector();
1547 if (c->GetX()<xmin) xmin=c->GetX();
1548 if (c->GetX()>xmax) xmax=c->GetX();
1552 if(imax-imin<kMinNcl) {
1556 // Not succes to rotate
1557 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1563 // fit from inner to outer row
1565 AliExternalTrackParam paramIn;
1566 AliExternalTrackParam paramOut;
1572 for (Int_t i=imin; i<=imax; i++){
1573 AliTPCclusterMI *c=track->GetClusterPointer(i);
1574 if (!c || (track->GetClusterIndex(i) & 0x8000)) continue;
1575 // if (RejectCluster(c,track)) continue;
1576 sector = (c->GetDetector()%18);
1577 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1580 Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
1581 Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
1582 if (!track->PropagateTo(r[0])) {
1585 if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
1587 if (!isOK) { delete track; return 0;}
1588 track->AddCovariance(covar);
1592 for (Int_t i=imax; i>=imin; i--){
1593 AliTPCclusterMI *c=track->GetClusterPointer(i);
1594 if (!c || (track->GetClusterIndex(i) & 0x8000)) continue;
1595 //if (RejectCluster(c,track)) continue;
1596 sector = (c->GetDetector()%18);
1597 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1600 Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
1601 Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
1602 if (!track->PropagateTo(r[0])) {
1605 if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
1607 //if (!isOK) { delete track; return 0;}
1609 track->AddCovariance(covar);
1612 for (Int_t i=imin; i<=imax; i++){
1613 AliTPCclusterMI *c=track->GetClusterPointer(i);
1614 if (!c || (track->GetClusterIndex(i) & 0x8000)) continue;
1615 sector = (c->GetDetector()%18);
1616 if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
1620 //if (RejectCluster(c,track)) continue;
1621 Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
1622 Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
1623 if (!track->PropagateTo(r[0])) {
1626 if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
1628 //if (!isOK) { delete track; return 0;}
1633 if (parin) (*parin)=paramIn;
1634 if (parout) (*parout)=paramOut;
1641 Bool_t AliTPCseed::RefitTrack(AliTPCseed* /*seed*/, Bool_t /*out*/){
1653 void AliTPCseed::GetError(AliTPCclusterMI* cluster, AliExternalTrackParam * param,
1654 Double_t& erry, Double_t &errz)
1657 // Get cluster error at given position
1659 AliTPCClusterParam *clusterParam = AliTPCcalibDB::Instance()->GetClusterParam();
1661 Double_t snp1=param->GetSnp();
1662 tany=snp1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1664 Double_t tgl1=param->GetTgl();
1665 tanz=tgl1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1667 Int_t padSize = 0; // short pads
1668 if (cluster->GetDetector() >= 36) {
1669 padSize = 1; // medium pads
1670 if (cluster->GetRow() > 63) padSize = 2; // long pads
1673 erry = clusterParam->GetError0Par( 0, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tany) );
1674 errz = clusterParam->GetError0Par( 1, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tanz) );
1678 void AliTPCseed::GetShape(AliTPCclusterMI* cluster, AliExternalTrackParam * param,
1679 Double_t& rmsy, Double_t &rmsz)
1682 // Get cluster error at given position
1684 AliTPCClusterParam *clusterParam = AliTPCcalibDB::Instance()->GetClusterParam();
1686 Double_t snp1=param->GetSnp();
1687 tany=snp1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1689 Double_t tgl1=param->GetTgl();
1690 tanz=tgl1/TMath::Sqrt((1.-snp1)*(1.+snp1));
1692 Int_t padSize = 0; // short pads
1693 if (cluster->GetDetector() >= 36) {
1694 padSize = 1; // medium pads
1695 if (cluster->GetRow() > 63) padSize = 2; // long pads
1698 rmsy = clusterParam->GetRMSQ( 0, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tany), TMath::Abs(cluster->GetMax()) );
1699 rmsz = clusterParam->GetRMSQ( 1, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tanz) ,TMath::Abs(cluster->GetMax()));
1704 Double_t AliTPCseed::GetQCorrGeom(Float_t ty, Float_t tz){
1706 //ty - tangent in local y direction
1709 Float_t norm=TMath::Sqrt(1+ty*ty+tz*tz);
1713 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*/){
1717 // return value = Q Normalization factor
1718 // Normalization - 1 - shape factor part for full drift
1719 // 1 - electron attachment for 0 drift
1721 // Input parameters:
1723 // ipad - 0 short pad
1730 //z - z position (-250,250 cm)
1731 //ty - tangent in local y direction
1735 AliTPCClusterParam * paramCl = AliTPCcalibDB::Instance()->GetClusterParam();
1736 AliTPCParam * paramTPC = AliTPCcalibDB::Instance()->GetParameters();
1738 if (!paramCl) return 1;
1740 Double_t dr = 250.-TMath::Abs(z);
1741 Double_t sy = paramCl->GetRMS0( 0,ipad, dr, TMath::Abs(ty));
1742 Double_t sy0= paramCl->GetRMS0(0,ipad, 250, 0);
1743 Double_t sz = paramCl->GetRMS0( 1,ipad, dr, TMath::Abs(tz));
1744 Double_t sz0= paramCl->GetRMS0(1,ipad, 250, 0);
1746 Double_t sfactorMax = TMath::Sqrt(sy0*sz0/(sy*sz));
1749 Double_t dt = 1000000*(dr/paramTPC->GetDriftV()); //time in microsecond
1750 Double_t attProb = TMath::Exp(-paramTPC->GetAttCoef()*paramTPC->GetOxyCont()*dt);
1753 if (type==0) return sfactorMax*attProb;
1762 //_______________________________________________________________________
1763 Float_t AliTPCseed::GetTPCClustInfo(Int_t nNeighbours, Int_t type, Int_t row0, Int_t row1, TVectorT<float> *returnVec)
1766 // TPC cluster information
1767 // type 0: get fraction of found/findable clusters with neighbourhood definition
1768 // 1: found clusters
1769 // 2: findable (number of clusters above and below threshold)
1771 // definition of findable clusters:
1772 // a cluster is defined as findable if there is another cluster
1773 // within +- nNeighbours pad rows. The idea is to overcome threshold
1774 // effects with a very simple algorithm.
1777 const Float_t kClusterShapeCut = 1.5; // IMPPRTANT TO DO: move value to AliTPCRecoParam
1778 const Float_t ktany = TMath::Tan(TMath::DegToRad()*10);
1779 const Float_t kedgey =3.;
1782 Float_t nclBelowThr = 0; // counts number of clusters below threshold
1784 for (Int_t irow=row0; irow<row1; irow++){
1785 AliTPCclusterMI* cluster = GetClusterPointer(irow);
1787 if (!cluster && irow > 1 && irow < 157) {
1788 Bool_t isClBefore = kFALSE;
1789 Bool_t isClAfter = kFALSE;
1790 for(Int_t ithres = 1; ithres <= nNeighbours; ithres++) {
1791 AliTPCclusterMI * clusterBefore = GetClusterPointer(irow - ithres);
1792 if (clusterBefore) isClBefore = kTRUE;
1793 AliTPCclusterMI * clusterAfter = GetClusterPointer(irow + ithres);
1794 if (clusterAfter) isClAfter = kTRUE;
1796 if (isClBefore && isClAfter) nclBelowThr++;
1798 if (!cluster) continue;
1801 if (TMath::Abs(cluster->GetY())>cluster->GetX()*ktany-kedgey) continue; // edge cluster
1803 AliTPCTrackerPoint * point = GetTrackPoint(irow);
1804 if (point==0) continue;
1805 Float_t rsigmay = TMath::Sqrt(point->GetSigmaY());
1806 if (rsigmay > kClusterShapeCut) continue;
1808 if (cluster->IsUsed(11)) continue; // remove shared clusters for PbPb
1811 if(returnVec->GetNoElements != 3){
1812 returnVec->ResizeTo(3);
1814 Float_t nclAll = nclBelowThr+ncl;
1815 returnVec(0) = nclAll>0?ncl/nclAll:0;
1817 returnVec(2) = nclAll;
1831 //_______________________________________________________________________
1832 Int_t AliTPCseed::GetNumberOfClustersIndices() {
1834 for (int i=0; i < 160; i++) {
1835 if ((fIndex[i] & 0x8000) == 0)
1841 //_______________________________________________________________________
1842 void AliTPCseed::Clear(Option_t*)
1844 // formally seed may allocate memory for clusters (althought this should not happen for
1845 // the seeds in the pool). Hence we need this method for fwd. compatibility
1846 if (fClusterOwner) for (int i=160;i--;) {delete fClusterPointer[i]; fClusterPointer[i] = 0;}
1849 TObject* AliTPCseed::Clone(const char* /*newname*/) const
1851 // temporary override TObject::Clone to avoid crashes in reco
1852 AliTPCseed* src = (AliTPCseed*)this;
1853 AliTPCseed* dst = new AliTPCseed(*src,fClusterOwner);