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 **************************************************************************/
18 ////////////////////////////////////////////////////////////////////////////
20 // The TRD offline tracklet
22 // The running horse of the TRD reconstruction. The following tasks are preformed:
23 // 1. Clusters attachment to tracks based on prior information stored at tracklet level (see AttachClusters)
24 // 2. Clusters position recalculation based on track information (see GetClusterXY and Fit)
25 // 3. Cluster error parametrization recalculation (see Fit)
26 // 4. Linear track approximation (Fit)
27 // 5. Optimal position (including z estimate for pad row cross tracklets) and covariance matrix of the track fit inside one TRD chamber (Fit)
28 // 6. Tilt pad correction and systematic effects (GetCovAt)
29 // 7. dEdx calculation (CookdEdx)
30 // 8. PID probabilities estimation (CookPID)
33 // Alex Bercuci <A.Bercuci@gsi.de> //
34 // Markus Fasel <M.Fasel@gsi.de> //
36 ////////////////////////////////////////////////////////////////////////////
39 #include <TTreeStream.h>
42 #include "AliMathBase.h"
43 #include "AliCDBManager.h"
44 #include "AliTracker.h"
46 #include "AliTRDpadPlane.h"
47 #include "AliTRDcluster.h"
48 #include "AliTRDseedV1.h"
49 #include "AliTRDtrackV1.h"
50 #include "AliTRDcalibDB.h"
51 #include "AliTRDchamberTimeBin.h"
52 #include "AliTRDtrackingChamber.h"
53 #include "AliTRDtrackerV1.h"
54 #include "AliTRDrecoParam.h"
55 #include "AliTRDCommonParam.h"
57 #include "Cal/AliTRDCalPID.h"
58 #include "Cal/AliTRDCalROC.h"
59 #include "Cal/AliTRDCalDet.h"
61 ClassImp(AliTRDseedV1)
63 //____________________________________________________________________
64 AliTRDseedV1::AliTRDseedV1(Int_t det)
66 ,fkReconstructor(NULL)
92 memset(fIndexes,0xFF,kNclusters*sizeof(fIndexes[0]));
93 memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*));
94 memset(fPad, 0, 3*sizeof(Float_t));
95 fYref[0] = 0.; fYref[1] = 0.;
96 fZref[0] = 0.; fZref[1] = 0.;
97 fYfit[0] = 0.; fYfit[1] = 0.;
98 fZfit[0] = 0.; fZfit[1] = 0.;
99 memset(fdEdx, 0, kNslices*sizeof(Float_t));
100 for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) fProb[ispec] = -1.;
101 fLabels[0]=-1; fLabels[1]=-1; // most freq MC labels
102 fLabels[2]=0; // number of different labels for tracklet
103 memset(fRefCov, 0, 7*sizeof(Double_t));
104 // covariance matrix [diagonal]
105 // default sy = 200um and sz = 2.3 cm
106 fCov[0] = 4.e-4; fCov[1] = 0.; fCov[2] = 5.3;
107 SetStandAlone(kFALSE);
110 //____________________________________________________________________
111 AliTRDseedV1::AliTRDseedV1(const AliTRDseedV1 &ref)
112 :AliTRDtrackletBase((AliTRDtrackletBase&)ref)
113 ,fkReconstructor(NULL)
137 // Copy Constructor performing a deep copy
142 SetBit(kOwner, kFALSE);
143 SetStandAlone(ref.IsStandAlone());
147 //____________________________________________________________________
148 AliTRDseedV1& AliTRDseedV1::operator=(const AliTRDseedV1 &ref)
151 // Assignment Operator using the copy function
157 SetBit(kOwner, kFALSE);
162 //____________________________________________________________________
163 AliTRDseedV1::~AliTRDseedV1()
166 // Destructor. The RecoParam object belongs to the underlying tracker.
169 //printf("I-AliTRDseedV1::~AliTRDseedV1() : Owner[%s]\n", IsOwner()?"YES":"NO");
172 for(int itb=0; itb<kNclusters; itb++){
173 if(!fClusters[itb]) continue;
174 //AliInfo(Form("deleting c %p @ %d", fClusters[itb], itb));
175 delete fClusters[itb];
176 fClusters[itb] = NULL;
181 //____________________________________________________________________
182 void AliTRDseedV1::Copy(TObject &ref) const
189 AliTRDseedV1 &target = (AliTRDseedV1 &)ref;
191 target.fkReconstructor = fkReconstructor;
192 target.fClusterIter = NULL;
196 target.fS2PRF = fS2PRF;
197 target.fDiffL = fDiffL;
198 target.fDiffT = fDiffT;
199 target.fClusterIdx = 0;
200 target.fErrorMsg = fErrorMsg;
212 target.fChi2 = fChi2;
214 memcpy(target.fIndexes, fIndexes, kNclusters*sizeof(Int_t));
215 memcpy(target.fClusters, fClusters, kNclusters*sizeof(AliTRDcluster*));
216 memcpy(target.fPad, fPad, 3*sizeof(Float_t));
217 target.fYref[0] = fYref[0]; target.fYref[1] = fYref[1];
218 target.fZref[0] = fZref[0]; target.fZref[1] = fZref[1];
219 target.fYfit[0] = fYfit[0]; target.fYfit[1] = fYfit[1];
220 target.fZfit[0] = fZfit[0]; target.fZfit[1] = fZfit[1];
221 memcpy(target.fdEdx, fdEdx, kNslices*sizeof(Float_t));
222 memcpy(target.fProb, fProb, AliPID::kSPECIES*sizeof(Float_t));
223 memcpy(target.fLabels, fLabels, 3*sizeof(Int_t));
224 memcpy(target.fRefCov, fRefCov, 7*sizeof(Double_t));
225 memcpy(target.fCov, fCov, 3*sizeof(Double_t));
231 //____________________________________________________________
232 Bool_t AliTRDseedV1::Init(AliTRDtrackV1 *track)
234 // Initialize this tracklet using the track information
237 // track - the TRD track used to initialize the tracklet
239 // Detailed description
240 // The function sets the starting point and direction of the
241 // tracklet according to the information from the TRD track.
244 // The TRD track has to be propagated to the beginning of the
245 // chamber where the tracklet will be constructed
249 if(!track->GetProlongation(fX0, y, z)) return kFALSE;
255 //_____________________________________________________________________________
256 void AliTRDseedV1::Reset(Option_t *opt)
259 // Reset seed. If option opt="c" is given only cluster arrays are cleared.
261 for(Int_t ic=kNclusters; ic--;) fIndexes[ic] = -1;
262 memset(fClusters, 0, kNclusters*sizeof(AliTRDcluster*));
263 fN=0; SetBit(kRowCross, kFALSE);
264 if(strcmp(opt, "c")==0) return;
266 fExB=0.;fVD=0.;fT0=0.;fS2PRF=0.;
272 fdX=0.;fX0=0.; fX=0.; fY=0.; fZ=0.;
276 memset(fPad, 0, 3*sizeof(Float_t));
277 fYref[0] = 0.; fYref[1] = 0.;
278 fZref[0] = 0.; fZref[1] = 0.;
279 fYfit[0] = 0.; fYfit[1] = 0.;
280 fZfit[0] = 0.; fZfit[1] = 0.;
281 memset(fdEdx, 0, kNslices*sizeof(Float_t));
282 for(int ispec=0; ispec<AliPID::kSPECIES; ispec++) fProb[ispec] = -1.;
283 fLabels[0]=-1; fLabels[1]=-1; // most freq MC labels
284 fLabels[2]=0; // number of different labels for tracklet
285 memset(fRefCov, 0, 7*sizeof(Double_t));
286 // covariance matrix [diagonal]
287 // default sy = 200um and sz = 2.3 cm
288 fCov[0] = 4.e-4; fCov[1] = 0.; fCov[2] = 5.3;
291 //____________________________________________________________________
292 void AliTRDseedV1::Update(const AliTRDtrackV1 *trk)
294 // update tracklet reference position from the TRD track
296 Double_t fSnp = trk->GetSnp();
297 Double_t fTgl = trk->GetTgl();
299 Double_t norm =1./TMath::Sqrt((1.-fSnp)*(1.+fSnp));
300 fYref[1] = fSnp*norm;
301 fZref[1] = fTgl*norm;
302 SetCovRef(trk->GetCovariance());
304 Double_t dx = trk->GetX() - fX0;
305 fYref[0] = trk->GetY() - dx*fYref[1];
306 fZref[0] = trk->GetZ() - dx*fZref[1];
309 //_____________________________________________________________________________
310 void AliTRDseedV1::UpdateUsed()
313 // Calculate number of used clusers in the tracklet
316 Int_t nused = 0, nshared = 0;
317 for (Int_t i = kNclusters; i--; ) {
318 if (!fClusters[i]) continue;
319 if(fClusters[i]->IsUsed()){
321 } else if(fClusters[i]->IsShared()){
322 if(IsStandAlone()) nused++;
330 //_____________________________________________________________________________
331 void AliTRDseedV1::UseClusters()
336 // In stand alone mode:
337 // Clusters which are marked as used or shared from another track are
338 // removed from the tracklet
341 // - Clusters which are used by another track become shared
342 // - Clusters which are attached to a kink track become shared
344 AliTRDcluster **c = &fClusters[0];
345 for (Int_t ic=kNclusters; ic--; c++) {
348 if((*c)->IsShared() || (*c)->IsUsed()){
349 if((*c)->IsShared()) SetNShared(GetNShared()-1);
350 else SetNUsed(GetNUsed()-1);
357 if((*c)->IsUsed() || IsKink()){
368 //____________________________________________________________________
369 void AliTRDseedV1::CookdEdx(Int_t nslices)
371 // Calculates average dE/dx for all slices and store them in the internal array fdEdx.
374 // nslices : number of slices for which dE/dx should be calculated
376 // store results in the internal array fdEdx. This can be accessed with the method
377 // AliTRDseedV1::GetdEdx()
379 // Detailed description
380 // Calculates average dE/dx for all slices. Depending on the PID methode
381 // the number of slices can be 3 (LQ) or 8(NN).
382 // The calculation of dQ/dl are done using the tracklet fit results (see AliTRDseedV1::GetdQdl(Int_t))
384 // The following effects are included in the calculation:
385 // 1. calibration values for t0 and vdrift (using x coordinate to calculate slice)
386 // 2. cluster sharing (optional see AliTRDrecoParam::SetClusterSharing())
390 memset(fdEdx, 0, kNslices*sizeof(Float_t));
391 const Double_t kDriftLength = (.5 * AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick());
393 AliTRDcluster *c(NULL);
394 for(int ic=0; ic<AliTRDtrackerV1::GetNTimeBins(); ic++){
395 if(!(c = fClusters[ic]) && !(c = fClusters[ic+kNtb])) continue;
396 Float_t dx = TMath::Abs(fX0 - c->GetX());
398 // Filter clusters for dE/dx calculation
400 // 1.consider calibration effects for slice determination
402 if(dx<kDriftLength){ // TODO should be replaced by c->IsInChamber()
403 slice = Int_t(dx * nslices / kDriftLength);
404 } else slice = c->GetX() < fX0 ? nslices-1 : 0;
407 // 2. take sharing into account
408 Float_t w = /*c->IsShared() ? .5 :*/ 1.;
410 // 3. take into account large clusters TODO
411 //w *= c->GetNPads() > 3 ? .8 : 1.;
414 fdEdx[slice] += w * GetdQdl(ic); //fdQdl[ic];
415 } // End of loop over clusters
418 //_____________________________________________________________________________
419 void AliTRDseedV1::CookLabels()
422 // Cook 2 labels for seed
428 for (Int_t i = 0; i < kNclusters; i++) {
429 if (!fClusters[i]) continue;
430 for (Int_t ilab = 0; ilab < 3; ilab++) {
431 if (fClusters[i]->GetLabel(ilab) >= 0) {
432 labels[nlab] = fClusters[i]->GetLabel(ilab);
438 fLabels[2] = AliMathBase::Freq(nlab,labels,out,kTRUE);
440 if ((fLabels[2] > 1) && (out[3] > 1)) fLabels[1] = out[2];
444 //____________________________________________________________________
445 Float_t AliTRDseedV1::GetdQdl(Int_t ic, Float_t *dl) const
447 // Using the linear approximation of the track inside one TRD chamber (TRD tracklet)
448 // the charge per unit length can be written as:
450 // #frac{dq}{dl} = #frac{q_{c}}{dx * #sqrt{1 + #(){#frac{dy}{dx}}^{2}_{fit} + #(){#frac{dz}{dx}}^{2}_{ref}}}
452 // where qc is the total charge collected in the current time bin and dx is the length
454 // The following correction are applied :
455 // - charge : pad row cross corrections
456 // [diffusion and TRF assymetry] TODO
457 // - dx : anisochronity, track inclination - see Fit and AliTRDcluster::GetXloc()
458 // and AliTRDcluster::GetYloc() for the effects taken into account
461 //<img src="TRD/trackletDQDT.gif">
463 // In the picture the energy loss measured on the tracklet as a function of drift time [left] and respectively
464 // drift length [right] for different particle species is displayed.
465 // Author : Alex Bercuci <A.Bercuci@gsi.de>
468 // check whether both clusters are inside the chamber
469 Bool_t hasClusterInChamber = kFALSE;
470 if(fClusters[ic] && fClusters[ic]->IsInChamber()){
471 hasClusterInChamber = kTRUE;
472 dq += TMath::Abs(fClusters[ic]->GetQ());
473 }else if(fClusters[ic+kNtb] && fClusters[ic+kNtb]->IsInChamber()){
474 hasClusterInChamber = kTRUE;
475 dq += TMath::Abs(fClusters[ic+kNtb]->GetQ());
477 if(!hasClusterInChamber) return 0.;
478 if(dq<1.e-3) return 0.;
481 if(ic-1>=0 && ic+1<kNtb){
482 Float_t x2(0.), x1(0.);
483 // try to estimate upper radial position (find the cluster which is inside the chamber)
484 if(fClusters[ic-1] && fClusters[ic-1]->IsInChamber()) x2 = fClusters[ic-1]->GetX();
485 else if(fClusters[ic-1+kNtb] && fClusters[ic-1+kNtb]->IsInChamber()) x2 = fClusters[ic-1+kNtb]->GetX();
486 else if(fClusters[ic] && fClusters[ic]->IsInChamber()) x2 = fClusters[ic]->GetX()+fdX;
487 else x2 = fClusters[ic+kNtb]->GetX()+fdX;
488 // try to estimate lower radial position (find the cluster which is inside the chamber)
489 if(fClusters[ic+1] && fClusters[ic+1]->IsInChamber()) x1 = fClusters[ic+1]->GetX();
490 else if(fClusters[ic+1+kNtb] && fClusters[ic+1+kNtb]->IsInChamber()) x1 = fClusters[ic+1+kNtb]->GetX();
491 else if(fClusters[ic] && fClusters[ic]->IsInChamber()) x1 = fClusters[ic]->GetX()-fdX;
492 else x1 = fClusters[ic+kNtb]->GetX()-fdX;
496 dx *= TMath::Sqrt(1. + fYfit[1]*fYfit[1] + fZref[1]*fZref[1]);
498 if(dx>1.e-9) return dq/dx;
502 //____________________________________________________________
503 Float_t AliTRDseedV1::GetMomentum(Float_t *err) const
505 // Returns momentum of the track after update with the current tracklet as:
507 // p=#frac{1}{1/p_{t}} #sqrt{1+tgl^{2}}
509 // and optionally the momentum error (if err is not null).
510 // The estimated variance of the momentum is given by:
512 // #sigma_{p}^{2} = (#frac{dp}{dp_{t}})^{2} #sigma_{p_{t}}^{2}+(#frac{dp}{dtgl})^{2} #sigma_{tgl}^{2}+2#frac{dp}{dp_{t}}#frac{dp}{dtgl} cov(tgl,1/p_{t})
514 // which can be simplified to
516 // #sigma_{p}^{2} = p^{2}p_{t}^{4}tgl^{2}#sigma_{tgl}^{2}-2p^{2}p_{t}^{3}tgl cov(tgl,1/p_{t})+p^{2}p_{t}^{2}#sigma_{1/p_{t}}^{2}
520 Double_t p = fPt*TMath::Sqrt(1.+fZref[1]*fZref[1]);
522 Double_t tgl2 = fZref[1]*fZref[1];
523 Double_t pt2 = fPt*fPt;
526 p2*tgl2*pt2*pt2*fRefCov[4]
527 -2.*p2*fZref[1]*fPt*pt2*fRefCov[5]
529 (*err) = TMath::Sqrt(s2);
535 //____________________________________________________________________
536 Float_t* AliTRDseedV1::GetProbability(Bool_t force)
538 if(!force) return &fProb[0];
539 if(!CookPID()) return NULL;
543 //____________________________________________________________
544 Bool_t AliTRDseedV1::CookPID()
546 // Fill probability array for tracklet from the DB.
551 // returns pointer to the probability array and NULL if missing DB access
553 // Retrieve PID probabilities for e+-, mu+-, K+-, pi+- and p+- from the DB according to tracklet information:
554 // - estimated momentum at tracklet reference point
555 // - dE/dx measurements
558 // According to the steering settings specified in the reconstruction one of the following methods are used
559 // - Neural Network [default] - option "nn"
560 // - 2D Likelihood - option "!nn"
562 AliTRDcalibDB *calibration = AliTRDcalibDB::Instance();
564 AliError("No access to calibration data");
568 if (!fkReconstructor) {
569 AliError("Reconstructor not set.");
573 // Retrieve the CDB container class with the parametric detector response
574 const AliTRDCalPID *pd = calibration->GetPIDObject(fkReconstructor->GetPIDMethod());
576 AliError("No access to AliTRDCalPID object");
580 // calculate tracklet length TO DO
581 Float_t length = (AliTRDgeometry::AmThick() + AliTRDgeometry::DrThick())/ TMath::Sqrt((1.0 - GetSnp()*GetSnp()) / (1.0 + GetTgl()*GetTgl()));
584 CookdEdx(AliTRDCalPID::kNSlicesNN);
585 AliDebug(4, Form("p=%6.4f[GeV/c] dEdx{%7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f %7.2f} l=%4.2f[cm]", GetMomentum(), fdEdx[0], fdEdx[1], fdEdx[2], fdEdx[3], fdEdx[4], fdEdx[5], fdEdx[6], fdEdx[7], length));
587 // Sets the a priori probabilities
588 Bool_t kPIDNN(fkReconstructor->GetPIDMethod()==AliTRDpidUtil::kNN);
589 for(int ispec=0; ispec<AliPID::kSPECIES; ispec++)
590 fProb[ispec] = pd->GetProbability(ispec, GetMomentum(), &fdEdx[0], length, kPIDNN?GetPlane():fkReconstructor->GetRecoParam()->GetPIDLQslices());
595 //____________________________________________________________________
596 Float_t AliTRDseedV1::GetQuality(Bool_t kZcorr) const
599 // Returns a quality measurement of the current seed
602 Float_t zcorr = kZcorr ? GetTilt() * (fZfit[0] - fZref[0]) : 0.;
604 .5 * TMath::Abs(18.0 - GetN())
605 + 10.* TMath::Abs(fYfit[1] - fYref[1])
606 + 5. * TMath::Abs(fYfit[0] - fYref[0] + zcorr)
607 + 2. * TMath::Abs(fZfit[0] - fZref[0]) / GetPadLength();
610 //____________________________________________________________________
611 void AliTRDseedV1::GetCovAt(Double_t x, Double_t *cov) const
613 // Computes covariance in the y-z plane at radial point x (in tracking coordinates)
614 // and returns the results in the preallocated array cov[3] as :
621 // For the linear transformation
625 // The error propagation has the general form
627 // C_{Y} = T_{x} C_{X} T_{x}^{T}
629 // We apply this formula 2 times. First to calculate the covariance of the tracklet
630 // at point x we consider:
632 // T_{x} = (1 x); X=(y0 dy/dx); C_{X}=#(){#splitline{Var(y0) Cov(y0, dy/dx)}{Cov(y0, dy/dx) Var(dy/dx)}}
634 // and secondly to take into account the tilt angle
636 // T_{#alpha} = #(){#splitline{cos(#alpha) __ sin(#alpha)}{-sin(#alpha) __ cos(#alpha)}}; X=(y z); C_{X}=#(){#splitline{Var(y) 0}{0 Var(z)}}
639 // using simple trigonometrics one can write for this last case
641 // C_{Y}=#frac{1}{1+tg^{2}#alpha} #(){#splitline{(#sigma_{y}^{2}+tg^{2}#alpha#sigma_{z}^{2}) __ tg#alpha(#sigma_{z}^{2}-#sigma_{y}^{2})}{tg#alpha(#sigma_{z}^{2}-#sigma_{y}^{2}) __ (#sigma_{z}^{2}+tg^{2}#alpha#sigma_{y}^{2})}}
643 // which can be aproximated for small alphas (2 deg) with
645 // C_{Y}=#(){#splitline{#sigma_{y}^{2} __ (#sigma_{z}^{2}-#sigma_{y}^{2})tg#alpha}{((#sigma_{z}^{2}-#sigma_{y}^{2})tg#alpha __ #sigma_{z}^{2}}}
648 // before applying the tilt rotation we also apply systematic uncertainties to the tracklet
649 // position which can be tunned from outside via the AliTRDrecoParam::SetSysCovMatrix(). They might
650 // account for extra misalignment/miscalibration uncertainties.
653 // Alex Bercuci <A.Bercuci@gsi.de>
654 // Date : Jan 8th 2009
659 Double_t sy2 = fCov[0] +2.*xr*fCov[1] + xr*xr*fCov[2];
661 //GetPadLength()*GetPadLength()/12.;
663 // insert systematic uncertainties
665 Double_t sys[15]; memset(sys, 0, 15*sizeof(Double_t));
666 fkReconstructor->GetRecoParam()->GetSysCovMatrix(sys);
670 // rotate covariance matrix
671 Double_t t2 = GetTilt()*GetTilt();
672 Double_t correction = 1./(1. + t2);
673 cov[0] = (sy2+t2*sz2)*correction;
674 cov[1] = GetTilt()*(sz2 - sy2)*correction;
675 cov[2] = (t2*sy2+sz2)*correction;
677 //printf("C(%6.1f %+6.3f %6.1f) [%s]\n", 1.e4*TMath::Sqrt(cov[0]), cov[1], 1.e4*TMath::Sqrt(cov[2]), IsRowCross()?" RC ":"-");
680 //____________________________________________________________
681 Double_t AliTRDseedV1::GetCovSqrt(const Double_t * const c, Double_t *d)
683 // Helper function to calculate the square root of the covariance matrix.
684 // The input matrix is stored in the vector c and the result in the vector d.
685 // Both arrays have to be initialized by the user with at least 3 elements. Return negative in case of failure.
687 // For calculating the square root of the symmetric matrix c
688 // the following relation is used:
690 // C^{1/2} = VD^{1/2}V^{-1}
692 // with V being the matrix with the n eigenvectors as columns.
693 // In case C is symmetric the followings are true:
694 // - matrix D is diagonal with the diagonal given by the eigenvalues of C
697 // Author A.Bercuci <A.Bercuci@gsi.de>
700 Double_t l[2], // eigenvalues
701 v[3]; // eigenvectors
702 // the secular equation and its solution :
703 // (c[0]-L)(c[2]-L)-c[1]^2 = 0
704 // L^2 - L*Tr(c)+DET(c) = 0
705 // L12 = [Tr(c) +- sqrt(Tr(c)^2-4*DET(c))]/2
706 Double_t tr = c[0]+c[2], // trace
707 det = c[0]*c[2]-c[1]*c[1]; // determinant
708 if(TMath::Abs(det)<1.e-20) return -1.;
709 Double_t dd = TMath::Sqrt(tr*tr - 4*det);
712 if(l[0]<0. || l[1]<0.) return -1.;
717 Double_t tmp = (l[0]-c[0])/c[1];
718 v[0] = TMath::Sqrt(1./(tmp*tmp+1));
720 v[2] = v[1]*c[1]/(l[1]-c[2]);
722 l[0] = TMath::Sqrt(l[0]); l[1] = TMath::Sqrt(l[1]);
723 d[0] = v[0]*v[0]*l[0]+v[1]*v[1]*l[1];
724 d[1] = v[0]*v[1]*l[0]+v[1]*v[2]*l[1];
725 d[2] = v[1]*v[1]*l[0]+v[2]*v[2]*l[1];
730 //____________________________________________________________
731 Double_t AliTRDseedV1::GetCovInv(const Double_t * const c, Double_t *d)
733 // Helper function to calculate the inverse of the covariance matrix.
734 // The input matrix is stored in the vector c and the result in the vector d.
735 // Both arrays have to be initialized by the user with at least 3 elements
736 // The return value is the determinant or 0 in case of singularity.
738 // Author A.Bercuci <A.Bercuci@gsi.de>
741 Double_t det = c[0]*c[2] - c[1]*c[1];
742 if(TMath::Abs(det)<1.e-20) return 0.;
743 Double_t invDet = 1./det;
750 //____________________________________________________________________
751 UShort_t AliTRDseedV1::GetVolumeId() const
753 for(Int_t ic(0);ic<kNclusters; ic++){
754 if(fClusters[ic]) return fClusters[ic]->GetVolumeId();
760 //____________________________________________________________________
761 void AliTRDseedV1::Calibrate()
763 // Retrieve calibration and position parameters from OCDB.
764 // The following information are used
766 // - column and row position of first attached cluster. If no clusters are attached
767 // to the tracklet a random central chamber position (c=70, r=7) will be used.
769 // The following information is cached in the tracklet
770 // t0 (trigger delay)
773 // omega*tau = tg(a_L)
774 // diffusion coefficients (longitudinal and transversal)
777 // Alex Bercuci <A.Bercuci@gsi.de>
778 // Date : Jan 8th 2009
781 AliCDBManager *cdb = AliCDBManager::Instance();
782 if(cdb->GetRun() < 0){
783 AliError("OCDB manager not properly initialized");
787 AliTRDcalibDB *calib = AliTRDcalibDB::Instance();
788 AliTRDCalROC *vdROC = calib->GetVdriftROC(fDet),
789 *t0ROC = calib->GetT0ROC(fDet);;
790 const AliTRDCalDet *vdDet = calib->GetVdriftDet();
791 const AliTRDCalDet *t0Det = calib->GetT0Det();
793 Int_t col = 70, row = 7;
794 AliTRDcluster **c = &fClusters[0];
797 while (ic<kNclusters && !(*c)){ic++; c++;}
799 col = (*c)->GetPadCol();
800 row = (*c)->GetPadRow();
804 fT0 = (t0Det->GetValue(fDet) + t0ROC->GetValue(col,row)) / AliTRDCommonParam::Instance()->GetSamplingFrequency();
805 fVD = vdDet->GetValue(fDet) * vdROC->GetValue(col, row);
806 fS2PRF = calib->GetPRFWidth(fDet, col, row); fS2PRF *= fS2PRF;
807 fExB = AliTRDCommonParam::Instance()->GetOmegaTau(fVD);
808 AliTRDCommonParam::Instance()->GetDiffCoeff(fDiffL,
810 AliDebug(4, Form("Calibration params for Det[%3d] Col[%3d] Row[%2d]\n t0[%f] vd[%f] s2PRF[%f] ExB[%f] Dl[%f] Dt[%f]", fDet, col, row, fT0, fVD, fS2PRF, fExB, fDiffL, fDiffT));
813 SetBit(kCalib, kTRUE);
816 //____________________________________________________________________
817 void AliTRDseedV1::SetOwner()
819 //AliInfo(Form("own [%s] fOwner[%s]", own?"YES":"NO", fOwner?"YES":"NO"));
821 if(TestBit(kOwner)) return;
822 for(int ic=0; ic<kNclusters; ic++){
823 if(!fClusters[ic]) continue;
824 fClusters[ic] = new AliTRDcluster(*fClusters[ic]);
829 //____________________________________________________________
830 void AliTRDseedV1::SetPadPlane(AliTRDpadPlane *p)
832 // Shortcut method to initialize pad geometry.
834 SetTilt(TMath::Tan(TMath::DegToRad()*p->GetTiltingAngle()));
835 SetPadLength(p->GetLengthIPad());
836 SetPadWidth(p->GetWidthIPad());
840 //____________________________________________________________________
841 Bool_t AliTRDseedV1::AttachClusters(AliTRDtrackingChamber *const chamber, Bool_t tilt)
844 // Projective algorithm to attach clusters to seeding tracklets. The following steps are performed :
845 // 1. Collapse x coordinate for the full detector plane
846 // 2. truncated mean on y (r-phi) direction
848 // 4. truncated mean on z direction
852 // - chamber : pointer to tracking chamber container used to search the tracklet
853 // - tilt : switch for tilt correction during road building [default true]
855 // - true : if tracklet found successfully. Failure can happend because of the following:
857 // Detailed description
859 // We start up by defining the track direction in the xy plane and roads. The roads are calculated based
860 // on tracking information (variance in the r-phi direction) and estimated variance of the standard
861 // clusters (see AliTRDcluster::SetSigmaY2()) corrected for tilt (see GetCovAt()). From this the road is
863 // r_{y} = 3*#sqrt{12*(#sigma^{2}_{Trk}(y) + #frac{#sigma^{2}_{cl}(y) + tg^{2}(#alpha_{L})#sigma^{2}_{cl}(z)}{1+tg^{2}(#alpha_{L})})}
864 // r_{z} = 1.5*L_{pad}
867 // Author : Alexandru Bercuci <A.Bercuci@gsi.de>
870 const AliTRDrecoParam* const recoParam = fkReconstructor->GetRecoParam(); //the dynamic cast in GetRecoParam is slow, so caching the pointer to it
873 AliError("Tracklets can not be used without a valid RecoParam.");
876 // Initialize reco params for this tracklet
877 // 1. first time bin in the drift region
879 Int_t kClmin = Int_t(recoParam->GetFindableClusters()*AliTRDtrackerV1::GetNTimeBins());
881 Double_t sysCov[5]; recoParam->GetSysCovMatrix(sysCov);
882 Double_t s2yTrk= fRefCov[0],
884 s2zCl = GetPadLength()*GetPadLength()/12.,
885 syRef = TMath::Sqrt(s2yTrk),
886 t2 = GetTilt()*GetTilt();
888 Double_t kroady = 1., //recoParam->GetRoad1y();
889 kroadz = GetPadLength() * recoParam->GetRoadzMultiplicator() + 1.;
890 // define probing cluster (the perfect cluster) and default calibration
891 Short_t sig[] = {0, 0, 10, 30, 10, 0,0};
892 AliTRDcluster cp(fDet, 6, 75, 0, sig, 0);
893 if(fkReconstructor->IsHLT()) cp.SetRPhiMethod(AliTRDcluster::kCOG);
894 if(!IsCalibrated()) Calibrate();
897 AliDebug(4, Form("syKalman[%f] rY[%f] rZ[%f]", syRef, kroady, kroadz));
900 const Int_t kNrows = 16;
901 const Int_t kNcls = 3*kNclusters; // buffer size
902 AliTRDcluster *clst[kNrows][kNcls];
903 Bool_t blst[kNrows][kNcls];
904 Double_t cond[4], dx, dy, yt, zt, yres[kNrows][kNcls];
905 Int_t idxs[kNrows][kNcls], ncl[kNrows], ncls = 0;
906 memset(ncl, 0, kNrows*sizeof(Int_t));
907 memset(yres, 0, kNrows*kNcls*sizeof(Double_t));
908 memset(blst, 0, kNrows*kNcls*sizeof(Bool_t)); //this is 8 times faster to memset than "memset(clst, 0, kNrows*kNcls*sizeof(AliTRDcluster*))"
910 // Do cluster projection
911 AliTRDcluster *c = NULL;
912 AliTRDchamberTimeBin *layer = NULL;
913 Bool_t kBUFFER = kFALSE;
914 for (Int_t it = 0; it < kNtb; it++) {
915 if(!(layer = chamber->GetTB(it))) continue;
916 if(!Int_t(*layer)) continue;
917 // get track projection at layers position
918 dx = fX0 - layer->GetX();
919 yt = fYref[0] - fYref[1] * dx;
920 zt = fZref[0] - fZref[1] * dx;
921 // get standard cluster error corrected for tilt
922 cp.SetLocalTimeBin(it);
923 cp.SetSigmaY2(0.02, fDiffT, fExB, dx, -1./*zt*/, fYref[1]);
924 s2yCl = (cp.GetSigmaY2() + sysCov[0] + t2*s2zCl)/(1.+t2);
925 // get estimated road
926 kroady = 3.*TMath::Sqrt(12.*(s2yTrk + s2yCl));
928 AliDebug(5, Form(" %2d x[%f] yt[%f] zt[%f]", it, dx, yt, zt));
930 AliDebug(5, Form(" syTrk[um]=%6.2f syCl[um]=%6.2f syClTlt[um]=%6.2f Ry[mm]=%f", 1.e4*TMath::Sqrt(s2yTrk), 1.e4*TMath::Sqrt(cp.GetSigmaY2()), 1.e4*TMath::Sqrt(s2yCl), 1.e1*kroady));
933 cond[0] = yt; cond[2] = kroady;
934 cond[1] = zt; cond[3] = kroadz;
936 layer->GetClusters(cond, idx, n, 6);
937 for(Int_t ic = n; ic--;){
938 c = (*layer)[idx[ic]];
940 dy += tilt ? GetTilt() * (c->GetZ() - zt) : 0.;
941 // select clusters on a 3 sigmaKalman level
942 /* if(tilt && TMath::Abs(dy) > 3.*syRef){
943 printf("too large !!!\n");
946 Int_t r = c->GetPadRow();
947 AliDebug(5, Form(" -> dy[%f] yc[%f] r[%d]", TMath::Abs(dy), c->GetY(), r));
949 blst[r][ncl[r]] = kTRUE;
950 idxs[r][ncl[r]] = idx[ic];
951 yres[r][ncl[r]] = dy;
954 if(ncl[r] >= kNcls) {
955 AliWarning(Form("Cluster candidates row[%d] reached buffer limit[%d]. Some may be lost.", r, kNcls));
962 AliDebug(4, Form("Found %d clusters. Processing ...", ncls));
964 AliDebug(1, Form("CLUSTERS FOUND %d LESS THAN THRESHOLD %d.", ncls, kClmin));
965 SetErrorMsg(kAttachClFound);
969 // analyze each row individualy
970 Bool_t kRowSelection(kFALSE);
971 Double_t mean[]={1.e3, 1.e3, 1.3}, syDis[]={1.e3, 1.e3, 1.3};
972 Int_t nrow[] = {0, 0, 0}, rowId[] = {-1, -1, -1}, nr = 0, lr=-1;
974 for(Int_t ir=0; ir<kNrows; ir++){
975 if(!(ncl[ir])) continue;
976 if(lr>0 && ir-lr != 1){
977 AliDebug(2, "Rows attached not continuous. Turn on selection.");
981 AliDebug(5, Form(" r[%d] n[%d]", ir, ncl[ir]));
982 // Evaluate truncated mean on the y direction
983 if(ncl[ir] < 4) continue;
984 AliMathBase::EvaluateUni(ncl[ir], yres[ir], mean[nr], syDis[nr], Int_t(ncl[ir]*.8));
986 // TODO check mean and sigma agains cluster resolution !!
987 AliDebug(4, Form(" m_%d[%+5.3f (%5.3fs)] s[%f]", nr, mean[nr], TMath::Abs(mean[nr]/syDis[nr]), syDis[nr]));
988 // remove outliers based on a 3 sigmaDistr level
989 Bool_t kFOUND = kFALSE;
990 for(Int_t ic = ncl[ir]; ic--;){
991 if(yres[ir][ic] - mean[nr] > 3. * syDis[nr]){
992 blst[ir][ic] = kFALSE; continue;
994 nrow[nr]++; rowId[nr]=ir; kFOUND = kTRUE;
997 vdy[nr].Use(nrow[nr], yres[ir]);
1000 lr = ir; if(nr>=3) break;
1002 if(recoParam->GetStreamLevel(AliTRDrecoParam::kTracker) > 3 && fkReconstructor->IsDebugStreaming()){
1003 TTreeSRedirector &cstreamer = *fkReconstructor->GetDebugStream(AliTRDrecoParam::kTracker);
1005 if(IsKink()) SETBIT(stat, 1);
1006 if(IsStandAlone()) SETBIT(stat, 2);
1007 cstreamer << "AttachClusters"
1012 << "r0=" << rowId[0]
1013 << "dy0=" << &vdy[0]
1015 << "s0=" << syDis[0]
1016 << "r1=" << rowId[1]
1017 << "dy1=" << &vdy[1]
1019 << "s1=" << syDis[1]
1020 << "r2=" << rowId[2]
1021 << "dy2=" << &vdy[2]
1023 << "s2=" << syDis[2]
1028 // analyze gap in rows attached
1030 SetErrorMsg(kAttachRowGap);
1031 Int_t rowRemove(-1);
1032 if(nr==2){ // select based on minimum distance to track projection
1033 if(TMath::Abs(mean[0])<TMath::Abs(mean[1])){
1034 if(nrow[1]>nrow[0]) AliDebug(2, Form("Conflicting mean[%f < %f] but ncl[%d < %d].", TMath::Abs(mean[0]), TMath::Abs(mean[1]), nrow[0], nrow[1]));
1036 if(nrow[1]<nrow[0]) AliDebug(2, Form("Conflicting mean[%f > %f] but ncl[%d > %d].", TMath::Abs(mean[0]), TMath::Abs(mean[1]), nrow[0], nrow[1]));
1037 Swap(nrow[0],nrow[1]); Swap(rowId[0],rowId[1]);
1038 Swap(mean[0],mean[1]); Swap(syDis[0],syDis[1]);
1041 } else if(nr==3){ // select based on 2 consecutive rows
1042 if(rowId[1]==rowId[0]+1 && rowId[1]!=rowId[2]-1){
1044 } else if(rowId[1]!=rowId[0]+1 && rowId[1]==rowId[2]-1){
1045 Swap(nrow[0],nrow[2]); Swap(rowId[0],rowId[2]);
1046 Swap(mean[0],mean[2]); Swap(syDis[0],syDis[2]);
1050 if(rowRemove>0){nrow[rowRemove]=0; rowId[rowRemove]=-1;}
1052 AliDebug(4, Form(" Ncl[%d[%d] + %d[%d] + %d[%d]]", nrow[0], rowId[0], nrow[1], rowId[1], nrow[2], rowId[2]));
1055 SetBit(kRowCross, kTRUE); // mark pad row crossing
1056 SetErrorMsg(kAttachRow);
1057 const Float_t am[]={TMath::Abs(mean[0]), TMath::Abs(mean[1]), TMath::Abs(mean[2])};
1058 AliDebug(4, Form("complex row configuration\n"
1059 " r[%d] n[%d] m[%6.3f] s[%6.3f]\n"
1060 " r[%d] n[%d] m[%6.3f] s[%6.3f]\n"
1061 " r[%d] n[%d] m[%6.3f] s[%6.3f]\n"
1062 , rowId[0], nrow[0], am[0], syDis[0]
1063 , rowId[1], nrow[1], am[1], syDis[1]
1064 , rowId[2], nrow[2], am[2], syDis[2]));
1065 Int_t id[]={0,1,2}; TMath::Sort(3, am, id, kFALSE);
1067 Int_t rnn[3]; memcpy(rnn, nrow, 3*sizeof(Int_t));
1068 Int_t rid[3]; memcpy(rid, rowId, 3*sizeof(Int_t));
1069 Double_t rm[3]; memcpy(rm, mean, 3*sizeof(Double_t));
1070 Double_t rs[3]; memcpy(rs, syDis, 3*sizeof(Double_t));
1071 nrow[0]=rnn[id[0]]; rowId[0]=rid[id[0]]; mean[0]=rm[id[0]]; syDis[0]=rs[id[0]];
1072 nrow[1]=rnn[id[1]]; rowId[1]=rid[id[1]]; mean[1]=rm[id[1]]; syDis[1]=rs[id[1]];
1073 nrow[2]=0; rowId[2]=-1; mean[2] = 1.e3; syDis[2] = 1.e3;
1074 AliDebug(4, Form("solved configuration\n"
1075 " r[%d] n[%d] m[%+6.3f] s[%6.3f]\n"
1076 " r[%d] n[%d] m[%+6.3f] s[%6.3f]\n"
1077 " r[%d] n[%d] m[%+6.3f] s[%6.3f]\n"
1078 , rowId[0], nrow[0], mean[0], syDis[0]
1079 , rowId[1], nrow[1], mean[1], syDis[1]
1080 , rowId[2], nrow[2], mean[2], syDis[2]));
1083 SetBit(kRowCross, kTRUE); // mark pad row crossing
1084 if(nrow[1] > nrow[0]){ // swap row order
1085 Swap(nrow[0],nrow[1]); Swap(rowId[0],rowId[1]);
1086 Swap(mean[0],mean[1]); Swap(syDis[0],syDis[1]);
1090 // Select and store clusters
1091 // We should consider here :
1092 // 1. How far is the chamber boundary
1093 // 2. How big is the mean
1094 Int_t n(0); Float_t dyc[kNclusters]; memset(dyc,0,kNclusters*sizeof(Float_t));
1095 for (Int_t ir = 0; ir < nr; ir++) {
1096 Int_t jr(rowId[ir]);
1097 AliDebug(4, Form(" Attaching Ncl[%d]=%d ...", jr, ncl[jr]));
1098 for (Int_t ic = 0; ic < ncl[jr]; ic++) {
1099 if(!blst[jr][ic])continue;
1101 Int_t it(c->GetPadTime());
1102 Int_t idx(it+kNtb*ir);
1104 AliDebug(4, Form("Many cluster candidates on row[%2d] tb[%2d].", jr, it));
1105 // TODO should save also the information on where the multiplicity happened and its size
1106 SetErrorMsg(kAttachMultipleCl);
1107 // TODO should also compare with mean and sigma for this row
1108 if(yres[jr][ic] > dyc[idx]) continue;
1111 // TODO proper indexing of clusters !!
1112 fIndexes[idx] = chamber->GetTB(it)->GetGlobalIndex(idxs[jr][ic]);
1114 dyc[idx] = yres[jr][ic];
1120 // number of minimum numbers of clusters expected for the tracklet
1121 if (GetN() < kClmin){
1122 AliDebug(1, Form("NOT ENOUGH CLUSTERS %d ATTACHED TO THE TRACKLET [min %d] FROM FOUND %d.", GetN(), kClmin, n));
1123 SetErrorMsg(kAttachClAttach);
1127 // Load calibration parameters for this tracklet
1130 // calculate dx for time bins in the drift region (calibration aware)
1131 Float_t x[2] = {0.,0.}; Int_t tb[2]={0,0};
1132 for (Int_t it = t0, irp=0; irp<2 && it < AliTRDtrackerV1::GetNTimeBins(); it++) {
1133 if(!fClusters[it]) continue;
1134 x[irp] = fClusters[it]->GetX();
1135 tb[irp] = fClusters[it]->GetLocalTimeBin();
1138 Int_t dtb = tb[1] - tb[0];
1139 fdX = dtb ? (x[0] - x[1]) / dtb : 0.15;
1143 //____________________________________________________________
1144 void AliTRDseedV1::Bootstrap(const AliTRDReconstructor *rec)
1146 // Fill in all derived information. It has to be called after recovery from file or HLT.
1147 // The primitive data are
1148 // - list of clusters
1149 // - detector (as the detector will be removed from clusters)
1150 // - position of anode wire (fX0) - temporary
1151 // - track reference position and direction
1152 // - momentum of the track
1153 // - time bin length [cm]
1155 // A.Bercuci <A.Bercuci@gsi.de> Oct 30th 2008
1157 fkReconstructor = rec;
1159 AliTRDpadPlane *pp = g.GetPadPlane(fDet);
1160 fPad[0] = pp->GetLengthIPad();
1161 fPad[1] = pp->GetWidthIPad();
1162 fPad[2] = TMath::Tan(TMath::DegToRad()*pp->GetTiltingAngle());
1163 //fSnp = fYref[1]/TMath::Sqrt(1+fYref[1]*fYref[1]);
1165 Int_t n = 0, nshare = 0, nused = 0;
1166 AliTRDcluster **cit = &fClusters[0];
1167 for(Int_t ic = kNclusters; ic--; cit++){
1170 if((*cit)->IsShared()) nshare++;
1171 if((*cit)->IsUsed()) nused++;
1173 SetN(n); SetNUsed(nused); SetNShared(nshare);
1180 //____________________________________________________________________
1181 Bool_t AliTRDseedV1::Fit(Bool_t tilt, Bool_t zcorr)
1184 // Linear fit of the clusters attached to the tracklet
1187 // - tilt : switch for tilt pad correction of cluster y position based on
1188 // the z, dzdx info from outside [default false].
1189 // - zcorr : switch for using z information to correct for anisochronity
1190 // and a finner error parameterization estimation [default false]
1192 // True if successful
1194 // Detailed description
1196 // Fit in the xy plane
1198 // The fit is performed to estimate the y position of the tracklet and the track
1199 // angle in the bending plane. The clusters are represented in the chamber coordinate
1200 // system (with respect to the anode wire - see AliTRDtrackerV1::FollowBackProlongation()
1201 // on how this is set). The x and y position of the cluster and also their variances
1202 // are known from clusterizer level (see AliTRDcluster::GetXloc(), AliTRDcluster::GetYloc(),
1203 // AliTRDcluster::GetSX() and AliTRDcluster::GetSY()).
1204 // If gaussian approximation is used to calculate y coordinate of the cluster the position
1205 // is recalculated taking into account the track angle. The general formula to calculate the
1206 // error of cluster position in the gaussian approximation taking into account diffusion and track
1207 // inclination is given for TRD by:
1209 // #sigma^{2}_{y} = #sigma^{2}_{PRF} + #frac{x#delta_{t}^{2}}{(1+tg(#alpha_{L}))^{2}} + #frac{x^{2}tg^{2}(#phi-#alpha_{L})tg^{2}(#alpha_{L})}{12}
1212 // Since errors are calculated only in the y directions, radial errors (x direction) are mapped to y
1213 // by projection i.e.
1215 // #sigma_{x|y} = tg(#phi) #sigma_{x}
1217 // and also by the lorentz angle correction
1219 // Fit in the xz plane
1221 // The "fit" is performed to estimate the radial position (x direction) where pad row cross happens.
1222 // If no pad row crossing the z position is taken from geometry and radial position is taken from the xy
1225 // There are two methods to estimate the radial position of the pad row cross:
1226 // 1. leading cluster radial position : Here the lower part of the tracklet is considered and the last
1227 // cluster registered (at radial x0) on this segment is chosen to mark the pad row crossing. The error
1228 // of the z estimate is given by :
1230 // #sigma_{z} = tg(#theta) #Delta x_{x_{0}}/12
1232 // The systematic errors for this estimation are generated by the following sources:
1233 // - no charge sharing between pad rows is considered (sharp cross)
1234 // - missing cluster at row cross (noise peak-up, under-threshold signal etc.).
1236 // 2. charge fit over the crossing point : Here the full energy deposit along the tracklet is considered
1237 // to estimate the position of the crossing by a fit in the qx plane. The errors in the q directions are
1238 // parameterized as s_q = q^2. The systematic errors for this estimation are generated by the following sources:
1239 // - no general model for the qx dependence
1240 // - physical fluctuations of the charge deposit
1241 // - gain calibration dependence
1243 // Estimation of the radial position of the tracklet
1245 // For pad row cross the radial position is taken from the xz fit (see above). Otherwise it is taken as the
1246 // interpolation point of the tracklet i.e. the point where the error in y of the fit is minimum. The error
1247 // in the y direction of the tracklet is (see AliTRDseedV1::GetCovAt()):
1249 // #sigma_{y} = #sigma^{2}_{y_{0}} + 2xcov(y_{0}, dy/dx) + #sigma^{2}_{dy/dx}
1251 // and thus the radial position is:
1253 // x = - cov(y_{0}, dy/dx)/#sigma^{2}_{dy/dx}
1256 // Estimation of tracklet position error
1258 // The error in y direction is the error of the linear fit at the radial position of the tracklet while in the z
1259 // direction is given by the cluster error or pad row cross error. In case of no pad row cross this is given by:
1261 // #sigma_{y} = #sigma^{2}_{y_{0}} - 2cov^{2}(y_{0}, dy/dx)/#sigma^{2}_{dy/dx} + #sigma^{2}_{dy/dx}
1262 // #sigma_{z} = Pad_{length}/12
1264 // For pad row cross the full error is calculated at the radial position of the crossing (see above) and the error
1265 // in z by the width of the crossing region - being a matter of parameterization.
1267 // #sigma_{z} = tg(#theta) #Delta x_{x_{0}}/12
1269 // In case of no tilt correction (default in the barrel tracking) the tilt is taken into account by the rotation of
1270 // the covariance matrix. See AliTRDseedV1::GetCovAt() for details.
1273 // A.Bercuci <A.Bercuci@gsi.de>
1275 if(!fkReconstructor){
1276 AliError("The tracklet needs the reconstruction setup. Please initialize by SetReconstructor().");
1279 if(!IsCalibrated()) Calibrate();
1281 const Int_t kClmin = 8;
1283 // get track direction
1284 Double_t y0 = fYref[0];
1285 Double_t dydx = fYref[1];
1286 Double_t z0 = fZref[0];
1287 Double_t dzdx = fZref[1];
1290 AliTRDtrackerV1::AliTRDLeastSquare fitterY;
1291 AliTRDtrackerV1::AliTRDLeastSquare fitterZ;
1293 // book cluster information
1294 Double_t qc[kNclusters], xc[kNclusters], yc[kNclusters], zc[kNclusters], sy[kNclusters];
1297 AliTRDcluster *c=NULL, **jc = &fClusters[0];
1298 const AliTRDrecoParam* const recoParam = fkReconstructor->GetRecoParam(); //the dynamic cast in GetRecoParam is slow, so caching the pointer to it
1299 for (Int_t ic=0; ic<kNtb; ic++, ++jc) {
1304 if(!(c = (*jc))) continue;
1305 if(!c->IsInChamber()) continue;
1308 if(c->GetNPads()>4) w = .5;
1309 if(c->GetNPads()>5) w = .2;
1312 qc[n] = TMath::Abs(c->GetQ());
1313 // pad row of leading
1315 // Radial cluster position
1316 //Int_t jc = TMath::Max(fN-3, 0);
1317 //xc[fN] = c->GetXloc(fT0, fVD, &qc[jc], &xc[jc]/*, z0 - c->GetX()*dzdx*/);
1318 xc[n] = fX0 - c->GetX();
1320 // extrapolated track to cluster position
1321 yt = y0 - xc[n]*dydx;
1322 zt = z0 - xc[n]*dzdx;
1324 // Recalculate cluster error based on tracking information
1325 c->SetSigmaY2(fS2PRF, fDiffT, fExB, xc[n], zcorr?zt:-1., dydx);
1326 sy[n] = TMath::Sqrt(c->GetSigmaY2());
1328 yc[n] = recoParam->UseGAUS() ?
1329 c->GetYloc(y0, sy[n], GetPadWidth()): c->GetY();
1331 //optional tilt correction
1332 if(tilt) yc[n] -= (GetTilt()*(zc[n] - zt));
1334 AliDebug(5, Form(" tb[%2d] dx[%6.3f] y[%6.2f+-%6.3f]", c->GetLocalTimeBin(), xc[n], yc[n], sy[n]));
1335 fitterY.AddPoint(&xc[n], yc[n], sy[n]);
1336 if(IsRowCross()) fitterZ.AddPoint(&xc[n], qc[n], 1.);
1341 if (n < kClmin) return kFALSE;
1344 if(!fitterY.Eval()){
1345 SetErrorMsg(kFitFailed);
1348 fYfit[0] = fitterY.GetFunctionParameter(0);
1349 fYfit[1] = -fitterY.GetFunctionParameter(1);
1352 fitterY.GetCovarianceMatrix(p);
1353 fCov[0] = p[1]; // variance of y0
1354 fCov[1] = p[2]; // covariance of y0, dydx
1355 fCov[2] = p[0]; // variance of dydx
1356 // the ref radial position is set at the minimum of
1357 // the y variance of the tracklet
1358 fX = -fCov[1]/fCov[2];
1359 Float_t xs=fX+.5*AliTRDgeometry::CamHght();
1360 if(xs < 0. || xs > AliTRDgeometry::CamHght()+AliTRDgeometry::CdrHght()){
1361 AliDebug(1, Form("Ref radial position ouside chamber x[%5.2f].", fX));
1362 SetErrorMsg(kFitOutside);
1366 // collect second row clusters
1369 /* // THE LEADING CLUSTER METHOD
1371 Int_t ic=n=kNclusters-1; jc = &fClusters[ic];
1372 AliTRDcluster *c0 =0x0, **kc = &fClusters[kNtb-1];
1373 for(; ic>kNtb; ic--, --jc, --kc){
1374 if((c0 = (*kc)) && c0->IsInChamber() && (xMin>c0->GetX())) xMin = c0->GetX();
1375 if(!(c = (*jc))) continue;
1376 if(!c->IsInChamber()) continue;
1377 zc[kNclusters-1] = c->GetZ();
1378 fX = fX0 - c->GetX();
1380 fZfit[0] = .5*(zc[0]+zc[kNclusters-1]); fZfit[1] = 0.;
1381 // Error parameterization
1382 fS2Z = fdX*fZref[1];
1383 fS2Z *= fS2Z; fS2Z *= 0.2887; // 1/sqrt(12)*/
1385 // THE FIT X-Q PLANE METHOD
1386 Int_t ic=n=kNclusters-1; jc = &fClusters[ic];
1387 for(; ic>kNtb; ic--, --jc){
1388 if(!(c = (*jc))) continue;
1389 if(!c->IsInChamber()) continue;
1390 qc[n] = TMath::Abs(c->GetQ());
1391 xc[n] = fX0 - c->GetX();
1393 fitterZ.AddPoint(&xc[n], -qc[n], 1.);
1398 if(m && IsRowCross()){
1400 if(fitterZ.GetFunctionParameter(1)!=0.){
1401 fX = -fitterZ.GetFunctionParameter(0)/fitterZ.GetFunctionParameter(1);
1403 Float_t dl = .5*AliTRDgeometry::CamHght()+AliTRDgeometry::CdrHght();
1405 fX-=.055; // TODO to be understood
1408 fZfit[0] = .5*(zc[0]+zc[kNclusters-1]); fZfit[1] = 0.;
1409 // temporary external error parameterization
1410 fS2Z = 0.05+0.4*TMath::Abs(fZref[1]); fS2Z *= fS2Z;
1411 // TODO correct formula
1412 //fS2Z = sigma_x*TMath::Abs(fZref[1]);
1414 if(IsRowCross() && !m){
1415 AliDebug(1, "Tracklet crossed row but no clusters found in neighbor row.");
1417 fZfit[0] = zc[0]; fZfit[1] = 0.;
1418 fS2Z = GetPadLength()*GetPadLength()/12.;
1420 fS2Y = fCov[0] +2.*fX*fCov[1] + fX*fX*fCov[2];
1426 //_____________________________________________________________________________
1427 void AliTRDseedV1::FitMI()
1431 // Marian Ivanov's version
1433 // linear fit on the y direction with respect to the reference direction.
1434 // The residuals for each x (x = xc - x0) are deduced from:
1436 // the tilting correction is written :
1437 // y = yc + h*(zc-zt) (2)
1438 // yt = y0+dy/dx*x (3)
1439 // zt = z0+dz/dx*x (4)
1440 // from (1),(2),(3) and (4)
1441 // dy = yc - y0 - (dy/dx + h*dz/dx)*x + h*(zc-z0)
1442 // the last term introduces the correction on y direction due to tilting pads. There are 2 ways to account for this:
1443 // 1. use tilting correction for calculating the y
1444 // 2. neglect tilting correction here and account for it in the error parametrization of the tracklet.
1445 const Float_t kRatio = 0.8;
1446 const Int_t kClmin = 5;
1447 const Float_t kmaxtan = 2;
1449 if (TMath::Abs(fYref[1]) > kmaxtan){
1450 //printf("Exit: Abs(fYref[1]) = %3.3f, kmaxtan = %3.3f\n", TMath::Abs(fYref[1]), kmaxtan);
1451 return; // Track inclined too much
1454 Float_t sigmaexp = 0.05 + TMath::Abs(fYref[1] * 0.25); // Expected r.m.s in y direction
1455 Float_t ycrosscor = GetPadLength() * GetTilt() * 0.5; // Y correction for crossing
1466 // Buffering: Leave it constant fot Performance issues
1467 Int_t zints[kNtb]; // Histograming of the z coordinate
1468 // Get 1 and second max probable coodinates in z
1469 Int_t zouts[2*kNtb];
1470 Float_t allowedz[kNtb]; // Allowed z for given time bin
1471 Float_t yres[kNtb]; // Residuals from reference
1472 //Float_t anglecor = GetTilt() * fZref[1]; // Correction to the angle
1474 Float_t pos[3*kNtb]; memset(pos, 0, 3*kNtb*sizeof(Float_t));
1475 Float_t *fX = &pos[0], *fY = &pos[kNtb], *fZ = &pos[2*kNtb];
1477 Int_t fN = 0; AliTRDcluster *c = 0x0;
1479 for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) {
1481 if (!(c = fClusters[i])) continue;
1482 if(!c->IsInChamber()) continue;
1484 //yres[i] = fY[i] - fYref[0] - (fYref[1] + anglecor) * fX[i] + GetTilt()*(fZ[i] - fZref[0]);
1485 fX[i] = fX0 - c->GetX();
1488 yres[i] = fY[i] - GetTilt()*(fZ[i] - (fZref[0] - fX[i]*fZref[1]));
1489 zints[fN] = Int_t(fZ[i]);
1494 //printf("Exit fN < kClmin: fN = %d\n", fN);
1497 Int_t nz = AliTRDtrackerV1::Freq(fN, zints, zouts, kFALSE);
1498 Float_t fZProb = zouts[0];
1499 if (nz <= 1) zouts[3] = 0;
1500 if (zouts[1] + zouts[3] < kClmin) {
1501 //printf("Exit zouts[1] = %d, zouts[3] = %d\n",zouts[1],zouts[3]);
1505 // Z distance bigger than pad - length
1506 if (TMath::Abs(zouts[0]-zouts[2]) > 12.0) zouts[3] = 0;
1508 Int_t breaktime = -1;
1509 Bool_t mbefore = kFALSE;
1510 Int_t cumul[kNtb][2];
1511 Int_t counts[2] = { 0, 0 };
1513 if (zouts[3] >= 3) {
1516 // Find the break time allowing one chage on pad-rows
1517 // with maximal number of accepted clusters
1520 for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) {
1521 cumul[i][0] = counts[0];
1522 cumul[i][1] = counts[1];
1523 if (TMath::Abs(fZ[i]-zouts[0]) < 2) counts[0]++;
1524 if (TMath::Abs(fZ[i]-zouts[2]) < 2) counts[1]++;
1527 for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins(); i++) {
1528 Int_t after = cumul[AliTRDtrackerV1::GetNTimeBins()][0] - cumul[i][0];
1529 Int_t before = cumul[i][1];
1530 if (after + before > maxcount) {
1531 maxcount = after + before;
1535 after = cumul[AliTRDtrackerV1::GetNTimeBins()-1][1] - cumul[i][1];
1536 before = cumul[i][0];
1537 if (after + before > maxcount) {
1538 maxcount = after + before;
1546 for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) {
1547 if (i > breaktime) allowedz[i] = mbefore ? zouts[2] : zouts[0];
1548 if (i <= breaktime) allowedz[i] = (!mbefore) ? zouts[2] : zouts[0];
1551 if (((allowedz[0] > allowedz[AliTRDtrackerV1::GetNTimeBins()]) && (fZref[1] < 0)) ||
1552 ((allowedz[0] < allowedz[AliTRDtrackerV1::GetNTimeBins()]) && (fZref[1] > 0))) {
1554 // Tracklet z-direction not in correspondance with track z direction
1557 for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) {
1558 allowedz[i] = zouts[0]; // Only longest taken
1564 // Cross pad -row tracklet - take the step change into account
1566 for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) {
1567 if (!fClusters[i]) continue;
1568 if(!fClusters[i]->IsInChamber()) continue;
1569 if (TMath::Abs(fZ[i] - allowedz[i]) > 2) continue;
1571 //yres[i] = fY[i] - fYref[0] - (fYref[1] + anglecor) * fX[i] + GetTilt()*(fZ[i] - fZref[0]);
1572 yres[i] = fY[i] - GetTilt()*(fZ[i] - (fZref[0] - fX[i]*fZref[1]));
1573 // if (TMath::Abs(fZ[i] - fZProb) > 2) {
1574 // if (fZ[i] > fZProb) yres[i] += GetTilt() * GetPadLength();
1575 // if (fZ[i] < fZProb) yres[i] -= GetTilt() * GetPadLength();
1580 Double_t yres2[kNtb];
1583 for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) {
1584 if (!fClusters[i]) continue;
1585 if(!fClusters[i]->IsInChamber()) continue;
1586 if (TMath::Abs(fZ[i] - allowedz[i]) > 2) continue;
1587 yres2[fN2] = yres[i];
1591 //printf("Exit fN2 < kClmin: fN2 = %d\n", fN2);
1595 AliMathBase::EvaluateUni(fN2,yres2,mean,sigma, Int_t(fN2*kRatio-2.));
1596 if (sigma < sigmaexp * 0.8) {
1599 //Float_t fSigmaY = sigma;
1614 for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) {
1615 if (!fClusters[i]) continue;
1616 if (!fClusters[i]->IsInChamber()) continue;
1617 if (TMath::Abs(fZ[i] - allowedz[i]) > 2){fClusters[i] = 0x0; continue;}
1618 if (TMath::Abs(yres[i] - mean) > 4.0 * sigma){fClusters[i] = 0x0; continue;}
1621 fMPads += fClusters[i]->GetNPads();
1622 Float_t weight = 1.0;
1623 if (fClusters[i]->GetNPads() > 4) weight = 0.5;
1624 if (fClusters[i]->GetNPads() > 5) weight = 0.2;
1628 //printf("x = %7.3f dy = %7.3f fit %7.3f\n", x, yres[i], fY[i]-yres[i]);
1631 sumwx += x * weight;
1632 sumwx2 += x*x * weight;
1633 sumwy += weight * yres[i];
1634 sumwxy += weight * (yres[i]) * x;
1635 sumwz += weight * fZ[i];
1636 sumwxz += weight * fZ[i] * x;
1641 //printf("Exit fN2 < kClmin(2): fN2 = %d\n",fN2);
1645 fMeanz = sumwz / sumw;
1646 Float_t correction = 0;
1648 // Tracklet on boundary
1649 if (fMeanz < fZProb) correction = ycrosscor;
1650 if (fMeanz > fZProb) correction = -ycrosscor;
1653 Double_t det = sumw * sumwx2 - sumwx * sumwx;
1654 fYfit[0] = (sumwx2 * sumwy - sumwx * sumwxy) / det;
1655 fYfit[1] = (sumw * sumwxy - sumwx * sumwy) / det;
1658 for (Int_t i = 0; i < AliTRDtrackerV1::GetNTimeBins()+1; i++) {
1659 if (!TESTBIT(fUsable,i)) continue;
1660 Float_t delta = yres[i] - fYfit[0] - fYfit[1] * fX[i];
1661 fS2Y += delta*delta;
1663 fS2Y = TMath::Sqrt(fS2Y / Float_t(fN2-2));
1664 // TEMPORARY UNTIL covariance properly calculated
1665 fS2Y = TMath::Max(fS2Y, Float_t(.1));
1667 fZfit[0] = (sumwx2 * sumwz - sumwx * sumwxz) / det;
1668 fZfit[1] = (sumw * sumwxz - sumwx * sumwz) / det;
1669 // fYfitR[0] += fYref[0] + correction;
1670 // fYfitR[1] += fYref[1];
1671 // fYfit[0] = fYfitR[0];
1672 fYfit[1] = -fYfit[1];
1677 //___________________________________________________________________
1678 void AliTRDseedV1::Print(Option_t *o) const
1681 // Printing the seedstatus
1684 AliInfo(Form("Det[%3d] X0[%7.2f] Pad{L[%5.2f] W[%5.2f] Tilt[%+6.2f]}", fDet, fX0, GetPadLength(), GetPadWidth(), GetTilt()));
1685 AliInfo(Form("N[%2d] Nused[%2d] Nshared[%2d] [%d]", GetN(), GetNUsed(), GetNShared(), fN));
1686 AliInfo(Form("FLAGS : RC[%c] Kink[%c] SA[%c]", IsRowCross()?'y':'n', IsKink()?'y':'n', IsStandAlone()?'y':'n'));
1687 AliInfo(Form("CALIB PARAMS : T0[%5.2f] Vd[%5.2f] s2PRF[%5.2f] ExB[%5.2f] Dl[%5.2f] Dt[%5.2f]", fT0, fVD, fS2PRF, fExB, fDiffL, fDiffT));
1689 Double_t cov[3], x=GetX();
1691 AliInfo(" | x[cm] | y[cm] | z[cm] | dydx | dzdx |");
1692 AliInfo(Form("Fit | %7.2f | %7.2f+-%7.2f | %7.2f+-%7.2f| %5.2f | ----- |", x, GetY(), TMath::Sqrt(cov[0]), GetZ(), TMath::Sqrt(cov[2]), fYfit[1]));
1693 AliInfo(Form("Ref | %7.2f | %7.2f+-%7.2f | %7.2f+-%7.2f| %5.2f | %5.2f |", x, fYref[0]-fX*fYref[1], TMath::Sqrt(fRefCov[0]), fZref[0]-fX*fYref[1], TMath::Sqrt(fRefCov[2]), fYref[1], fZref[1]))
1694 AliInfo(Form("P / Pt [GeV/c] = %f / %f", GetMomentum(), fPt));
1695 AliInfo(Form("dEdx [a.u.] = %f / %f / %f / %f / %f/ %f / %f / %f", fdEdx[0], fdEdx[1], fdEdx[2], fdEdx[3], fdEdx[4], fdEdx[5], fdEdx[6], fdEdx[7]));
1696 AliInfo(Form("PID = %5.3f / %5.3f / %5.3f / %5.3f / %5.3f", fProb[0], fProb[1], fProb[2], fProb[3], fProb[4]));
1698 if(strcmp(o, "a")!=0) return;
1700 AliTRDcluster* const* jc = &fClusters[0];
1701 for(int ic=0; ic<kNclusters; ic++, jc++) {
1702 if(!(*jc)) continue;
1708 //___________________________________________________________________
1709 Bool_t AliTRDseedV1::IsEqual(const TObject *o) const
1711 // Checks if current instance of the class has the same essential members
1714 if(!o) return kFALSE;
1715 const AliTRDseedV1 *inTracklet = dynamic_cast<const AliTRDseedV1*>(o);
1716 if(!inTracklet) return kFALSE;
1718 for (Int_t i = 0; i < 2; i++){
1719 if ( fYref[i] != inTracklet->fYref[i] ) return kFALSE;
1720 if ( fZref[i] != inTracklet->fZref[i] ) return kFALSE;
1723 if ( fS2Y != inTracklet->fS2Y ) return kFALSE;
1724 if ( GetTilt() != inTracklet->GetTilt() ) return kFALSE;
1725 if ( GetPadLength() != inTracklet->GetPadLength() ) return kFALSE;
1727 for (Int_t i = 0; i < kNclusters; i++){
1728 // if ( fX[i] != inTracklet->GetX(i) ) return kFALSE;
1729 // if ( fY[i] != inTracklet->GetY(i) ) return kFALSE;
1730 // if ( fZ[i] != inTracklet->GetZ(i) ) return kFALSE;
1731 if ( fIndexes[i] != inTracklet->fIndexes[i] ) return kFALSE;
1733 // if ( fUsable != inTracklet->fUsable ) return kFALSE;
1735 for (Int_t i=0; i < 2; i++){
1736 if ( fYfit[i] != inTracklet->fYfit[i] ) return kFALSE;
1737 if ( fZfit[i] != inTracklet->fZfit[i] ) return kFALSE;
1738 if ( fLabels[i] != inTracklet->fLabels[i] ) return kFALSE;
1741 /* if ( fMeanz != inTracklet->GetMeanz() ) return kFALSE;
1742 if ( fZProb != inTracklet->GetZProb() ) return kFALSE;*/
1743 if ( fN != inTracklet->fN ) return kFALSE;
1744 //if ( fNUsed != inTracklet->fNUsed ) return kFALSE;
1745 //if ( fFreq != inTracklet->GetFreq() ) return kFALSE;
1746 //if ( fNChange != inTracklet->GetNChange() ) return kFALSE;
1748 if ( fC != inTracklet->fC ) return kFALSE;
1749 //if ( fCC != inTracklet->GetCC() ) return kFALSE;
1750 if ( fChi2 != inTracklet->fChi2 ) return kFALSE;
1751 // if ( fChi2Z != inTracklet->GetChi2Z() ) return kFALSE;
1753 if ( fDet != inTracklet->fDet ) return kFALSE;
1754 if ( fPt != inTracklet->fPt ) return kFALSE;
1755 if ( fdX != inTracklet->fdX ) return kFALSE;
1757 for (Int_t iCluster = 0; iCluster < kNclusters; iCluster++){
1758 AliTRDcluster *curCluster = fClusters[iCluster];
1759 AliTRDcluster *inCluster = inTracklet->fClusters[iCluster];
1760 if (curCluster && inCluster){
1761 if (! curCluster->IsEqual(inCluster) ) {
1762 curCluster->Print();
1767 // if one cluster exists, and corresponding
1768 // in other tracklet doesn't - return kFALSE
1769 if(curCluster || inCluster) return kFALSE;