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 **************************************************************************/
16 //////////////////////////////////////////////////////////////////////////
18 // AliHMPIDReconHTA //
20 // HMPID class to perfom pattern recognition based on Hough transfrom //
21 // for single chamber //
22 //////////////////////////////////////////////////////////////////////////
24 #include "AliHMPIDReconHTA.h"//class header
25 #include "AliHMPIDCluster.h" //CkovHiddenTrk()
26 #include "AliHMPIDRecon.h" //FunMinPhot()
27 #include <TFile.h> //Database()
28 #include <TMinuit.h> //FitFree()
29 #include <TClonesArray.h> //CkovHiddenTrk()
30 #include <AliESDtrack.h> //CkovHiddenTrk()
31 #include <TH2F.h> //InitDatabase()
32 #include <TGraph.h> //ShapeModel()
33 #include <TSpline.h> //ShapeModel()
34 #include "TStopwatch.h" //
36 TH2F* AliHMPIDReconHTA::fgDatabase = new TH2F("deconv","database;d1;d2;thC+1000*thTrk",500,0,50,150,0,15);
39 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
40 AliHMPIDReconHTA::AliHMPIDReconHTA():
41 TTask("RichRec","RichPat"),
56 fParam(AliHMPIDParam::Instance())
61 fParam->SetRefIdx(fParam->MeanIdxRad()); // initialization of ref index to a default one
62 if(fgDatabase->GetEntries()<1) InitDatabase();
64 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
65 AliHMPIDReconHTA::~AliHMPIDReconHTA()
69 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
70 void AliHMPIDReconHTA::InitVars(Int_t n)
75 fXClu = new Double_t[n];
76 fYClu = new Double_t[n];
77 fClCk = new Bool_t[n];
78 for(Int_t i=0;i<n;i++) fClCk[i] = kTRUE;
81 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
82 void AliHMPIDReconHTA::DeleteVars()const
87 if(fXClu) delete fXClu;
88 if(fYClu) delete fYClu;
89 if(fClCk) delete fClCk;
91 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
92 Bool_t AliHMPIDReconHTA::CkovHiddenTrk(AliESDtrack *pTrk,TClonesArray *pCluLst,Int_t index, Double_t nmean)
94 // Pattern recognition method without any infos from tracking:HTA (Hidden Track Algorithm)...
95 // The method finds in the chmuber the cluster with the highest charge
96 // compatibile with a MIP, then the strategy is applied
97 // Arguments: pTrk - pointer to ESD track
98 // pCluLs - list of clusters for a given chamber
99 // pNmean - pointer to ref. index
100 // pQthre - pointer to qthre
101 // Returns: - 0=ok,1=not fitted
103 AliHMPIDParam *pParam = AliHMPIDParam::Instance();
105 if(!CluPreFilter(pCluLst)) return kFALSE;
110 fNClu = pCluLst->GetEntriesFast();
112 for (Int_t iClu=0;iClu<fNClu;iClu++){ //clusters loop
113 AliHMPIDCluster *pClu=(AliHMPIDCluster*)pCluLst->UncheckedAt(iClu); //get pointer to current cluster
114 fXClu[iClu] = pClu->X();fYClu[iClu] = pClu->Y(); //store x,y for fitting procedure
115 fClCk[iClu] = kTRUE; //all cluster are accepted at this stage to be reconstructed
122 sizeClu = pClu->Size();
124 fClCk[index] = kFALSE;
126 // Printf(" n. %d x %f y %f Q %f",iClu,pClu->X(),pClu->Y(),pClu->Q());
130 pParam->SetRefIdx(nmean);
132 if(!DoRecHiddenTrk()) {
133 pTrk->SetHMPIDsignal(pParam->kNoPhotAccept);
135 } //Do track and ring reconstruction,if problems returns 1
137 pTrk->SetHMPIDtrk(fRadX,fRadY,fThTrkFit,fPhTrkFit); //store track intersection info
138 pTrk->SetHMPIDmip(fMipX,fMipY,(Int_t)fMipQ,fNClu); //store mip info
139 pTrk->SetHMPIDcluIdx(nCh,fIdxMip+1000*sizeClu); //set cham number, index of cluster + cluster size
140 pTrk->SetHMPIDsignal(fCkovFit); //find best Theta ckov for ring i.e. track
141 pTrk->SetHMPIDchi2(fCkovSig2); //errors squared
142 // Printf(" n clusters tot %i accepted %i",pCluLst->GetEntriesFast(),fNClu);
143 // Printf("CkovHiddenTrk: thetaC %f th %f ph %f",fCkovFit,fThTrkFit,fPhTrkFit);
148 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
149 Bool_t AliHMPIDReconHTA::DoRecHiddenTrk()
151 // Pattern recognition method without any infos from tracking...
152 // First a preclustering filter to avoid part of the noise
153 // Then only ellipsed-rings are fitted (no possibility,
154 // for the moment, to reconstruct very inclined tracks)
155 // Finally a fitting with (th,ph) free, starting by very close values
156 // previously evaluated.
159 Double_t thTrkRec,phiTrkRec,thetaCRec;
161 if(!FindShape(thTrkRec,phiTrkRec,thetaCRec)) return kFALSE;
163 if(!FitFree(thTrkRec,phiTrkRec)) {return kFALSE;}
168 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
169 Bool_t AliHMPIDReconHTA::DoRecHiddenTrk(TClonesArray *pCluLst)
171 // Pattern recognition method without any infos from tracking...
172 // First a preclustering filter to avoid part of the noise
173 // Then only ellipsed-rings are fitted (no possibility,
174 // for the moment, to reconstruct very inclined tracks)
175 // Finally a fitting with (th,ph) free, starting by very close values
176 // previously evaluated.
179 Double_t thTrkRec,phiTrkRec,thetaCRec;
181 if(!FindShape(thTrkRec,phiTrkRec,thetaCRec)) return kFALSE;
183 // Printf("thTrkRec %f phiTrkRec %f ThetaCRec %f",thTrkRec*TMath::RadToDeg(),phiTrkRec*TMath::RadToDeg(),thetaCRec*TMath::RadToDeg());
184 Int_t nClTmp1 = pCluLst->GetEntriesFast()-1; //minus MIP...
187 while(nClTmp1 != nClTmp2){
188 SetNClu(pCluLst->GetEntriesFast());
189 if(!FitFree(thTrkRec,phiTrkRec)) {return kFALSE;}
191 if(nClTmp2!=nClTmp1) {nClTmp1=nClTmp2;nClTmp2=0;}
198 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
199 Bool_t AliHMPIDReconHTA::CluPreFilter(TClonesArray *pCluLst)
201 // Pre-filter of bkg clusters
202 // Arguments: pSluLst - List of the clusters for a given chamber
203 // Returns: status - TRUE if filtering leaves enough photons, FALSE if not
205 Int_t nClusTot = pCluLst->GetEntriesFast();
206 if(nClusTot<4||nClusTot>100) {
213 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
214 Bool_t AliHMPIDReconHTA::FindShape(Double_t &thTrkRec,Double_t &phiTrkRec,Double_t &thetaCRec)
216 // Finds the estimates for phi and theta of the track and the ThetaCerenkov
217 // by using a database of the shapes of the rings
219 // Returns: thTrkRec - estimate of theta track
220 // phiTrkRec - estimate of phi track
221 // thetaCRec - estimate of ThetaCerenkov
222 // status - TRUE if a good solution is found, FALSE if not
224 Double_t *phiphot = new Double_t[fNClu];
225 Double_t *dist = new Double_t[fNClu];
226 Int_t *indphi = new Int_t[fNClu];
230 // Sort in phi angle...
231 // Printf(" mipX %f mipy %f",fMipX,fMipY);
232 for(Int_t i=0;i<fNClu;i++) {
238 phiphot[i] = (TMath::ATan2(fMipY-fYClu[i],fMipX-fXClu[i])+TMath::Pi())*TMath::RadToDeg();
239 dist[i]=TMath::Sqrt((fMipX-fXClu[i])*(fMipX-fXClu[i])+(fMipY-fYClu[i])*(fMipY-fYClu[i]));
240 // Printf(" n.%3i phiphot %f dist %f check %i",i,phiphot[i],dist[i],fClCk[i]);
243 TMath::Sort(fNClu,phiphot,indphi,kFALSE);
245 // Purify with a truncated mean;
249 for(Int_t i=0;i<fNClu;i++) {
250 if(!fClCk[indphi[i]]) continue; // Check if a good photon candidate or not
251 dMean +=dist[indphi[i]];
252 dMean2+=dist[indphi[i]]*dist[indphi[i]];
256 dMean /=(Double_t)np;
257 dMean2 /=(Double_t)np;
258 Double_t rms = TMath::Sqrt(dMean2 - dMean*dMean);
260 for(Int_t i=0;i<fNClu;i++) {
261 if(!fClCk[indphi[i]]) continue; // Check if a good photon candidate or not
262 if(TMath::Abs(dMean-dist[indphi[i]]) > 2*rms) {
263 fClCk[indphi[i]] = kFALSE;
269 // purify vectors for good photon candidates
272 Double_t *phiphotP = new Double_t[fNClu+1];
273 Double_t *distP = new Double_t[fNClu+1];
274 for(Int_t i=0;i<fNClu;i++) {
275 if(!fClCk[indphi[i]]) continue; // Check if a good photon candidate or not
276 phiphotP[npeff] = phiphot[indphi[i]];
277 distP[npeff] = dist[indphi[i]];
278 // Printf("n. %2i phi %f dist %f",npeff,phiphotP[npeff],distP[npeff]);
292 // for(Int_t i=0;i<npeff;i++) {Printf(" n. %d phiphot %f dist %f",i,phiphotP[i],distP[i]);}
296 if(ShapeModel(npeff,phiphotP,distP,xA,xB,phiTrkRec)) {
298 // Printf("FindShape: phi start %f xA %f yA %f",phiTrkRec*TMath::RadToDeg(),xA,xB);
299 if(xA < 50 && xB < 15) { // limits of the Database. See TH2F in InitDatabase()
301 Int_t bin = fgDatabase->FindBin(xA,xB);
303 Int_t compact = (Int_t)fgDatabase->GetBinContent(bin);
304 thetaCRec = (Double_t)(compact%1000);
305 thTrkRec = (Double_t)(compact/1000);
307 thTrkRec *= TMath::DegToRad();
308 thetaCRec *= TMath::DegToRad();
310 // Printf("FindShape: xA %f xB %f compact %d thTrk %f thC %f",xA,xB,compact,thTrkRec*TMath::RadToDeg(),thetaCRec*TMath::RadToDeg());
322 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
323 Bool_t AliHMPIDReconHTA::ShapeModel(Int_t np,Double_t *phiphot,Double_t *dist,Double_t &xA,Double_t &xB,Double_t &phiStart)
325 // Find a Spline curve to define dist. vs. phi angle
326 // in order to estimate the phi of the track
327 // Arguments: np - # points corresponding to # photon candidates
328 // dist - distance of each photon from MIP
329 // phiphot - phi of the photon in the DRS
330 // Returns: xA - min. distance from MIP
331 // xB - dist. from mip perpedicular to the major axis
332 // phiStart- estimate of the track phi
334 TGraph *phigr = new TGraph(np,phiphot,dist);
335 TSpline3 *sphi = new TSpline3("sphi",phigr);
336 if(!sphi) {Printf("Spline not created!Bye.");return kFALSE;}
338 Int_t locMin = TMath::LocMin(np,dist);
339 Int_t locMax = TMath::LocMax(np,dist);
341 Double_t minX = phiphot[locMin];
342 // Double_t minY = dist[locMin];
343 Double_t maxX = phiphot[locMax];
344 // Double_t maxY = dist[locMax];
346 Int_t ip[3] = {-1,0,1};
347 if(locMin==0 ) {ip[0]= 0;ip[1]= 1;ip[2]= 2;}
348 if(locMin==np-1) {ip[0]=-2;ip[1]=-1;ip[2]= 0;}
350 Double_t minXf = VertParab(phiphot[locMin+ip[0]],dist[locMin+ip[0]],
351 phiphot[locMin+ip[1]],dist[locMin+ip[1]],
352 phiphot[locMin+ip[2]],dist[locMin+ip[2]]);
353 if(minXf< phiphot[locMin+ip[0]] || minXf > phiphot[locMin+ip[2]]) minXf = minX;
355 ip[0]=-1;ip[1]=0;ip[2]=1;
356 if(locMax==0 ) {ip[0]= 0;ip[1]= 1;ip[2]= 2;}
357 if(locMax==np-1) {ip[0]=-2;ip[1]=-1;ip[2]= 0;}
359 Double_t maxXf = VertParab(phiphot[locMax+ip[0]],dist[locMax+ip[0]],
360 phiphot[locMax+ip[1]],dist[locMax+ip[1]],
361 phiphot[locMax+ip[2]],dist[locMax+ip[2]]);
362 if(maxXf< phiphot[locMax+ip[0]] || maxXf > phiphot[locMax+ip[2]]) maxXf = maxX;
365 if(TMath::Abs(maxXf-minXf)>30) {
366 xA = sphi->Eval(minXf);
367 if(xA < 0) xA = dist[sphi->FindX(xA)];
368 xB = sphi->Eval(minXf-90);
369 if(xB < 0) xB = dist[sphi->FindX(xB)];
370 phiStart = minXf-180; //open ring or acceptance effect...so believe to min phi angle!
372 phiStart = 0.5*(maxXf-180+minXf);
373 xA = sphi->Eval(phiStart+180);
374 if(xA < 0) xA = dist[sphi->FindX(xA)];
375 xB = sphi->Eval(phiStart+90);
376 if(xB < 0) xB = dist[sphi->FindX(xB)];
379 // Printf("ShapeModel: phiStart %f xA %f xB %f",phiStart,xA,xB);
381 phiStart*=TMath::DegToRad();
385 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
386 Double_t AliHMPIDReconHTA::VertParab(Double_t x1,Double_t y1,Double_t x2, Double_t y2, Double_t x3, Double_t y3)const
388 // It uses parabola from 3 points to evaluate the x-coord of the parab
389 // Arguments: xi,yi - points
390 // Returns: x-coord of the vertex
392 Double_t a = ((x1-x3)*(y1-y2)-(x1-x2)*(y1-y3))/((x1*x1-x2*x2)*(x1-x3)-(x1*x1-x3*x3)*(x1-x2));
393 Double_t b = (y1-y2 - a*(x1*x1-x2*x2))/(x1-x2);
394 // Double_t c = y1 - a*x1*x1-b*x1;
397 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
398 Bool_t AliHMPIDReconHTA::FitFree(Double_t thTrkRec,Double_t phiTrkRec)
400 // Fit performed by minimizing RMS/sqrt(n) of the
401 // photons reconstructed. First phi is fixed and theta
402 // is fouond, then (th,ph) of the track
403 // as free parameters
404 // Arguments: PhiRec phi of the track
407 TMinuit *pMinuit = new TMinuit(2);
409 gMinuit->SetObjectFit((TObject*)this); gMinuit->SetFCN(AliHMPIDReconHTA::FunMinPhot); //set fit function
410 Double_t aArg=-1,parStep,parLow,parHigh; Int_t iErrFlg; //tmp vars for TMinuit
415 pMinuit->mnexcm("SET PRI",&aArg,1,iErrFlg); //suspend all printout from TMinuit
416 pMinuit->mnexcm("SET NOW",&aArg,0,iErrFlg);
418 if(thTrkRec==0) thTrkRec = 3.*TMath::DegToRad(); // not to start from the edge...
420 pMinuit->mnparm(0," thTrk ",thTrkRec ,parStep=0.01,parLow=0,parHigh=TMath::PiOver4(),iErrFlg);
421 pMinuit->mnparm(1," phiTrk ",phiTrkRec,parStep=0.01,parLow=0,parHigh=TMath::TwoPi(),iErrFlg);
423 pMinuit->FixParameter(1);
424 pMinuit->mnexcm("SIMPLEX" ,&aArg,0,iErrFlg);
425 pMinuit->mnexcm("MIGRAD" ,&aArg,0,iErrFlg);
427 pMinuit->mnexcm("MIGRAD" ,&aArg,0,iErrFlg);
429 pMinuit->mnpout(0,sName,th,d1,d2,d3,iErrFlg);
430 pMinuit->mnpout(1,sName,ph,d1,d2,d3,iErrFlg);
434 par[0] = th;par[1] = ph;
435 pMinuit->Eval(2,grad,f,par,3);
437 // Printf("FitFree: theta %f phi %f",th,ph);
442 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
443 void AliHMPIDReconHTA::FunMinPhot(Int_t &/* */,Double_t* /* */,Double_t &f,Double_t *par,Int_t iflag)
445 // Minimization function to find best track and thetaC parameters
446 // Arguments: f = function value to minimize
447 // par = list of parameter to find
448 // iflag = flag status. See Minuit instructions
451 // Note: it is necessary to call an instance of AlihMPIDParam. Not possible to use fParam
452 // because of the static instantiation of the function in Minuit
454 AliHMPIDParam *pParam=AliHMPIDParam::Instance();
455 AliHMPIDReconHTA *pRecHTA=(AliHMPIDReconHTA*)gMinuit->GetObjectFit();
457 Double_t sizeCh = 0.5*pParam->RadThick()+pParam->WinThick()+pParam->GapThick();
458 Double_t thTrk = par[0];
459 Double_t phTrk = par[1];
460 Double_t xrad = pRecHTA->MipX() - sizeCh*TMath::Tan(thTrk)*TMath::Cos(phTrk);
461 Double_t yrad = pRecHTA->MipY() - sizeCh*TMath::Tan(thTrk)*TMath::Sin(phTrk);
462 pRecHTA->SetRadXY(xrad,yrad);
463 pRec.SetTrack(xrad,yrad,thTrk,phTrk);
465 Double_t meanCkov =0;
466 Double_t meanCkov2=0;
467 Double_t thetaCer,phiCer;
469 Int_t nClTot=pRecHTA->NClu();
471 for(Int_t i=0;i<nClTot;i++) {
472 if(!(pRecHTA->ClCk(i))) continue;
473 pRec.FindPhotCkov(pRecHTA->XClu(i),pRecHTA->YClu(i),thetaCer,phiCer);
474 meanCkov += thetaCer;
475 meanCkov2 += thetaCer*thetaCer;
478 if(nClAcc==0) {f=999;return;}
479 meanCkov /=(Double_t)nClAcc;
480 meanCkov2 /=(Double_t)nClAcc;
481 Double_t rms = TMath::Sqrt(TMath::Abs(meanCkov2 - meanCkov*meanCkov));
482 f = rms/TMath::Sqrt((Double_t)nClAcc);
486 Printf("FunMinPhot before: photons candidates %i used %i",nClTot,nClAcc);
488 Double_t meanCkov1=0;
489 Double_t meanCkov2=0;
490 for(Int_t i=0;i<nClTot;i++) {
491 if(!(pRec->ClCk(i))) continue;
492 pRec->FindPhotCkov(pRec->XClu(i),pRec->YClu(i),thetaCer,phiCer);
493 if(TMath::Abs(thetaCer-meanCkov)<2*rms) {
494 meanCkov1 += thetaCer;
495 meanCkov2 += thetaCer*thetaCer;
497 } else pRec->SetClCk(i,kFALSE);
500 Double_t rms2 = (meanCkov2 - meanCkov*meanCkov*nClAcc)/nClAcc;
501 Printf("FunMinPhot after: photons candidates %i used %i thetaCer %f",nClTot,nClAcc,meanCkov1);
502 pRec->SetCkovFit(meanCkov1);
503 pRec->SetCkovSig2(rms2);
504 pRec->SetNClu(nClAcc);
506 // Printf("FunMinPhot: reconstructed theta Cerenkov %f with %d photons",meanCkov,nClAcc);
507 pRecHTA->SetCkovFit(meanCkov);
508 pRecHTA->SetCkovSig2(rms*rms);
509 pRecHTA->SetNClu(nClAcc);
512 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
513 void AliHMPIDReconHTA::InitDatabase()
515 // Construction a database of ring shapes on fly
518 // N.B. fgDatabase points to a TH2I with x-min dist from MIP
519 // y-dist from the ring of the MIP perpendicular to major axis
520 // The content is the packed info of track theta and thetaC in degrees
523 // TFile *pout = new TFile("./database.root","recreate");
528 AliInfo(Form("database HTA is being built.Please, wait..."));
530 Double_t x[3]={0,0,0},y[3];
534 if(!fParam) fParam=AliHMPIDParam::Instance();
535 Double_t thetaMax = TMath::ACos(1./fParam->MeanIdxRad());
536 Double_t thTrkMax = 1./TMath::ASin(fParam->MeanIdxRad());
541 // TH2F *fgDatabase = new TH2F("deconv","database;d1;d2;thC+1000*thTrk",500,0,50,150,0,15);
547 for(Int_t i=0;i<nstepx;i++) { //loop on thetaC
548 for(Int_t j=0;j<nstepy;j++) { //loop on theta particle
549 Double_t thetaC = thetaMax/nstepx*((Double_t)i+0.5);
550 Double_t thTrk = thTrkMax/nstepy*((Double_t)j+0.5);
554 Double_t sizeCh = 0.5*fParam->RadThick()+fParam->WinThick()+fParam->GapThick();
555 Double_t xmip = xrad + sizeCh*TMath::Tan(thTrk)*TMath::Cos(phTrk);
556 Double_t ymip = yrad + sizeCh*TMath::Tan(thTrk)*TMath::Sin(phTrk);
558 Double_t dist1,dist2;
560 //first point at phi=0
562 rec.SetTrack(xrad,yrad,thTrk,phTrk);
564 pos=rec.TracePhot(thetaC,0);
567 dist1 = 0; //open ring...anly the distance btw mip and point at 180 will be considered
569 x[0] = pos.X(); y[0] = pos.Y();
570 dist1 = TMath::Sqrt((x[0]-xmip)*(x[0]-xmip)+(y[0]-ymip)*(y[0]-ymip));
573 //second point at phi=180
575 rec.SetTrack(xrad,yrad,thTrk,phTrk);
576 pos=rec.TracePhot(thetaC,TMath::Pi());
578 if(pos.X()==-999) {Printf("it should not happens!Bye");return;}
579 x[1] = pos.X(); y[1] = pos.Y();
580 if((x[1]-xmip)*(x[0]-xmip)>0) continue; // to avoid circles out mips (for very low ThetaC)
581 dist2 = TMath::Sqrt((x[1]-xmip)*(x[1]-xmip)+(y[1]-ymip)*(y[1]-ymip));
583 // Double_t distA = dist1+dist2;
584 Double_t distA = dist2; // only the minimum: problem of acceptance
586 //second point at phi=90
588 rec.SetTrack(xrad,yrad,thTrk,phTrk);
589 pos=rec.TracePhot(thetaC,TMath::PiOver2());
591 if(pos.X()==-999) continue;
592 x[2] = pos.X(); y[2] = pos.Y();
593 Double_t distB = TMath::Sqrt((x[2]-xmip)*(x[2]-xmip)+(y[2]-ymip)*(y[2]-ymip));
594 // compact the infos...
595 Int_t compact = (Int_t)(thetaC*TMath::RadToDeg())+1000*(Int_t)(thTrk*TMath::RadToDeg());
596 Int_t bin = fgDatabase->FindBin(distA,distB);
597 if(fgDatabase->GetBinContent(bin)==0) fgDatabase->Fill(distA,distB,compact);
602 // fgDatabase = deconv;
605 Double_t nSecs = timer.CpuTime();
606 AliInfo(Form("database HTA successfully open in %3.1f sec.(CPU). Reconstruction is started.",nSecs));
612 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
613 void AliHMPIDReconHTA::FillZeroChan()const
615 //If fills eventually channel without entries
616 //inthe histo "database" jyst interpolating the neighboring cells
617 // Arguments: histogram pointer of the database
620 Int_t nbinx = fgDatabase->GetNbinsX();
621 Int_t nbiny = fgDatabase->GetNbinsY();
622 for(Int_t i = 0;i<nbinx;i++) {
623 for(Int_t j = 0;j<nbiny;j++) {
624 if(fgDatabase->GetBinContent(i,j) == 0) {
625 Int_t nXmin = i-1; Int_t nXmax=i+1;
626 Int_t nYmin = j-1; Int_t nYmax=j+1;
630 for(Int_t ix=nXmin;ix<=nXmax;ix++) {
631 if(ix<0||ix>nbinx) continue;
632 for(Int_t iy=nYmin;iy<=nYmax;iy++) {
633 if(iy<0||iy>nbiny) continue;
634 meanC += (Int_t)fgDatabase->GetBinContent(ix,iy)%1000;
635 meanTrk+= (Int_t)fgDatabase->GetBinContent(ix,iy)/1000;
638 meanC/=nc; meanTrk/=nc;
639 Int_t compact = (Int_t)meanC+1000*(Int_t)meanTrk;
640 if(compact>0)fgDatabase->SetCellContent(i,j,compact);
646 //++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++