TOF/AliTOFT0.cxx

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  15
  16 /* $Id$ */
  17
  18 //_________________________________________________________________________
  19 // This is a TTask that made the calculation of the Time zero using TOF.
  20 // Description: The algorithm used to calculate the time zero of
  21 // interaction using TOF detector is the following.
  22 // We select in the MonteCarlo some primary particles - or tracks in
  23 // the following - that strike the TOF detector (the larger part are
  24 // pions, kaons or protons).
  25 // We choose a set of 10 selected tracks, for each track You have the
  26 // length of the track when the TOF is reached (a standard TOF hit
  27 // does not contain this additional information, this is the reason
  28 // why we implemented a new time zero dedicated TOF hit class
  29 // AliTOFhitT0; in order to store this type of hit You have to use the
  30 // AliTOFv4T0 as TOF class in Your Config.C. In AliTOFv4T0 the
  31 // StepManager was modified in order to fill the TOF hit branch with
  32 // this type of hits; in fact the AliTOF::AddT0Hit is called rather
  33 // that the usual AliTOF::AddHit), the momentum at generation (from
  34 // TreeK) and the time of flight given by the TOF detector.
  35 // (Observe that the ctor of the AliTOF class, when the AliTOFv4T0
  36 // class is used, is called with the "tzero" option: it is in order
  37 // create the fHits TClonesArray filled with AliTOFhitT0 objects,
  38 // rather than with normal AliTOFhit)
  39 // Then Momentum and time of flight for each track are smeared
  40 // according to known experimental resolution (all sources of error
  41 // have been token into account).
  42 // Let consider now only one set of 10 tracks (the algorithm is the
  43 // same for all sets).
  44 // Assuming the (mass) hypothesis that each track can be AUT a pion,
  45 // AUT a kaon, AUT a proton, we consider all the 3 at 10 possible
  46 // cases.
  47 // For each track in each (mass) configuration
  48 // (a configuration can be
  49 // e.g. pion/pion/kaon/proton/pion/proton/kaon/kaon/pion/pion)
  50 // we calculate the time zero (we know in fact the velocity of the
  51 // track after the assumption about its mass, the time of flight given
  52 // by the TOF, and the corresponding path travelled till the TOF
  53 // detector). Then for each mass configuration we have 10 time zero
  54 // and we can calculate the ChiSquare for the current configuration
  55 // using the weighted mean over all 10 time zero.
  56 // We call the best assignment the mass configuration that gives the
  57 // minimum value of the ChiSquare.
  58 // We plot the weighted mean over all 10 time zero for the best
  59 // assignment, the ChiSquare for the best assignment and the
  60 // corresponding confidence level.
  61 // The strong assumption is the MC selection of primary particles. It
  62 // will be introduced in the future also some more realistic
  63 // simulation about this point.
  64
  65 // Use case:
  66 // root [0] AliTOFT0 * tzero = new AliTOFT0("galice.root")
  67 // Warning in <TDatabasePDG::TDatabasePDG>: object already instantiated
  68 // root [1] tzero->ExecuteTask()
  69 // root [2] tzero->ExecuteTask("tim")
  70 //             // available parameters:
  71 //             tim - print benchmarking information
  72 //             all - print usefull informations about the number of
  73 //                   misidentified tracks and a comparison about the
  74 //                   true configuration (known from MC) and the best
  75 //                   assignment
  76 //-- Author: F. Pierella
  77 //////////////////////////////////////////////////////////////////////////////
  78
  79 #include <Riostream.h>
  80 #include <stdlib.h>
  81
  82 #include <TBenchmark.h>
  83 #include <TCanvas.h>
  84 #include <TClonesArray.h>
  85 #include <TFile.h>
  86 #include <TFolder.h>
  87 #include <TFrame.h>
  88 #include <TH1.h>
  89 #include <TParticle.h>
  90 #include <TROOT.h>
  91 #include <TSystem.h>
  92 #include <TTask.h>
  93 #include <TTree.h>
  94 #include <TVirtualMC.h>
  95
  96 #include "AliDetector.h"
  97 #include "AliMC.h"
  98 #include "AliRun.h"
  99
 100 #include "AliTOF.h"
 101 #include "AliTOFT0.h"
 102 #include "AliTOFhitT0.h"
 103 #include "AliTOFv4T0.h"
 104 #include "AliTOFv5T0.h"
 105
 106 ClassImp(AliTOFT0)
 107
 108 //____________________________________________________________________________
 109   AliTOFT0::AliTOFT0():TTask("AliTOFT0","")
 110 {
 111   // ctor
 112   fNevents = 0 ;
 113 }
 114
 115 //____________________________________________________________________________
 116   AliTOFT0::AliTOFT0(char* headerFile, Int_t nEvents):TTask("AliTOFT0","")
 117 {
 118   //
 119   //
 120   //
 121
 122   fNevents=nEvents ; // Number of events for which calculate the T0,
 123                      // default 0: it means all evens in current file
 124   fLowerMomBound=1.5; // [GeV/c] default value
 125   fUpperMomBound=2. ; // [GeV/c] default value
 126   fTimeResolution   = 1.2e-10; // 120 ps by default
 127   fHeadersFile = headerFile ;
 128
 129   TFile * file = (TFile*) gROOT->GetFile(fHeadersFile.Data() ) ;
 130
 131   //File was not opened yet
 132   if(file == 0){
 133     if(fHeadersFile.Contains("rfio"))
 134       file =    TFile::Open(fHeadersFile,"update") ;
 135     else
 136       file = new TFile(fHeadersFile.Data(),"update") ;
 137     gAlice = (AliRun *) file->Get("gAlice") ;
 138   }
 139
 140   // add Task to //root/Tasks folder
 141   TTask * roottasks = (TTask*)gROOT->GetRootFolder()->FindObject("Tasks") ;
 142   roottasks->Add(this) ;
 143 }
 144
 145 //____________________________________________________________________________
 146   AliTOFT0::AliTOFT0(const AliTOFT0 & tzero):TTask("AliTOFT0","")
 147 {
 148   // copy ctr
 149
 150 ( (AliTOFT0 &)tzero ).Copy(*this);
 151 }
 152
 153 //____________________________________________________________________________
 154   AliTOFT0::~AliTOFT0()
 155 {
 156   // dtor
 157 }
 158
 159 //____________________________________________________________________________
 160 void AliTOFT0::Exec(Option_t *option)
 161 {
 162   //
 163   // calculate T0 distribution for all events using chisquare
 164   //
 165   Int_t ngood=0;
 166   Int_t nmisidentified=0;
 167   Int_t nmisidentified0=0;
 168   Int_t nmisidentified1=0;
 169   Int_t nmisidentified2=0;
 170   Int_t nmisidentified3=0;
 171   Int_t nmisidentified4=0;
 172   Int_t nmisidentified5=0;
 173   Int_t nmisidentified6=0;
 174   Int_t nmisidentified7=0;
 175   Int_t nmisidentified8=0;
 176   Int_t nmisidentified9=0;
 177   Int_t ipartold = -1;
 178   Int_t ipart;
 179   Int_t selected=0;
 180   Int_t istop=0;
 181   Float_t timeresolutioninns=fTimeResolution*(1.e+9); // convert in [ns]
 182   const Int_t kUPDATE = 5; // for visual option
 183   Int_t itimes=0;
 184   TCanvas* c1=0;
 185   TCanvas* c2=0;
 186   TCanvas* c3=0;
 187
 188   if(strstr(option,"visual")){
 189     // Create a new canvas.
 190     //c1 = new TCanvas("c1","Dynamic Visual Filling of time zero histo",10,10,500,500);
 191     c1 = new TCanvas("c1","Dynamic Visual Filling of time zero histo",10,10,370,370);
 192     c1->SetFillColor(35);
 193     c1->GetFrame()->SetFillColor(21);
 194     c1->GetFrame()->SetBorderSize(6);
 195     c1->GetFrame()->SetBorderMode(-1);
 196
 197     //c2 = new TCanvas("c2","Dynamic Visual Filling of chisquare histo",550,10,500,500);
 198     c2 = new TCanvas("c2","Dynamic Visual Filling of chisquare histo",380,10,370,370);
 199     c2->SetFillColor(35);
 200     c2->GetFrame()->SetFillColor(21);
 201     c2->GetFrame()->SetBorderSize(6);
 202     c2->GetFrame()->SetBorderMode(-1);
 203
 204     //c3 = new TCanvas("c3","Dynamic Visual Filling of confidence level histo",280,550,500,500);
 205     c3 = new TCanvas("c3","Dynamic Visual Filling of confidence level histo",760,10,370,370);
 206     c3->SetFillColor(35);
 207     c3->GetFrame()->SetFillColor(21);
 208     c3->GetFrame()->SetBorderSize(6);
 209     c3->GetFrame()->SetBorderMode(-1);
 210   }
 211
 212   if(strstr(option,"tim") || strstr(option,"all"))
 213     gBenchmark->Start("TOFT0");
 214
 215   TH1F *htzerobest= new TH1F("htzerobest","T0 for best assignment",200,-1.,1.);
 216   TH1F* hchibest  = new TH1F("hchibest","ChiSquare Min Distribution",80,0.,40.);
 217   TH1F* hchibestconflevel  = new TH1F("hchibestconflevel","ChiSquare Min Confidence Level",10,0.,1.);
 218
 219   // setting histo colors
 220   if(strstr(option,"visual")){
 221     htzerobest->SetFillColor(48);
 222     hchibest->SetFillColor(50);
 223     hchibestconflevel->SetFillColor(52);
 224   }
 225
 226   Int_t   assparticle[10]={3,3,3,3,3,3,3,3,3,3};
 227   Int_t   truparticle[10]={3,3,3,3,3,3,3,3,3,3};
 228   Float_t t0best=999.;
 229   Float_t timeofflight[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
 230   Float_t momentum[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
 231   Float_t timezero[10];
 232   Float_t weightedtimezero[10];
 233   Float_t beta[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
 234   Float_t sqMomError[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
 235   Float_t sqTrackError[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
 236   Float_t massarray[3]={0.13957,0.493677,0.9382723};
 237   Float_t dummychisquare=0.;
 238   Float_t chisquare=999.;
 239   Float_t tracktoflen[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
 240
 241   AliTOF *detTOF = (AliTOF *) gAlice->GetDetector ("TOF");
 242
 243   if (!detTOF) {
 244     Error("AliTOFT0","TOF not found");
 245     return;
 246   }
 247
 248   if(strstr(option,"all")){
 249     cout << "Selecting primary tracks with momentum between " << fLowerMomBound << " GeV/c and " << fUpperMomBound << " GeV/c" << endl;
 250     cout << "Memorandum: 0 means PION | 1 means KAON | 2 means PROTON" << endl;
 251   }
 252
 253   if (fNevents == 0) fNevents = (Int_t) gAlice->TreeE()->GetEntries();
 254
 255   for (Int_t ievent = 0; ievent < fNevents; ievent++) {
 256     gAlice->GetEvent(ievent);
 257     TTree *hitTree = detTOF->TreeH ();
 258     if (!hitTree)
 259       return;
 260     TParticle*    particle;
 261     AliTOFhitT0*  tofHit;
 262     TClonesArray* tofHits = detTOF->Hits();
 263
 264     Int_t lasttrack=-1;
 265     Int_t nset=0;
 266
 267     hitTree->SetBranchStatus("*",0); // switch off all branches
 268     hitTree->SetBranchStatus("TOF*",1); // switch on only TOF
 269
 270     // Start loop on primary tracks in the hits containers
 271
 272     Int_t ntracks = static_cast<Int_t>(hitTree->GetEntries());
 273     for (Int_t track = 0; track < ntracks; track++)
 274     {
 275       if(nset>=5) break; // check on the number of set analyzed
 276
 277       gAlice->ResetHits();
 278       hitTree->GetEvent(track);
 279       particle = gAlice->GetMCApp()->Particle(track);
 280       Int_t nhits = tofHits->GetEntriesFast();
 281
 282       for (Int_t hit = 0; hit < nhits; hit++)
 283       {
 284         tofHit = (AliTOFhitT0 *) tofHits->UncheckedAt(hit);
 285         ipart    = tofHit->GetTrack();
 286         // check to discard the case when the same particle is selected more than one
 287         // time
 288
 289         if (ipart != ipartold){
 290
 291           particle = (TParticle*)gAlice->GetMCApp()->Particle(ipart);
 292
 293           Float_t idealtime=tofHit->GetTof();
 294           //       Float_t time=idealtime;
 295           Float_t time   = gRandom->Gaus(idealtime, fTimeResolution);
 296           Float_t toflen=tofHit->GetLen();
 297           toflen=toflen/100.; // toflen given in m
 298           Int_t pdg   = particle->GetPdgCode();
 299           Int_t abspdg   =TMath::Abs(pdg);
 300           Float_t idealmom  = particle->P();
 301           Float_t momres=idealmom*0.025; // 2.5% res token into account for all momenta
 302           Float_t mom =gRandom->Gaus(idealmom,momres);
 303
 304           Bool_t isgoodpart=(abspdg==211 || abspdg==2212 || abspdg==321);
 305
 306           time*=1.E+9; // tof given in nanoseconds
 307           if (particle->GetFirstMother() < 0 && isgoodpart && mom<=fUpperMomBound && mom>=fLowerMomBound){
 308             selected+=1;
 309             istop=selected;
 310             if(istop>10) break;
 311             Int_t index=selected-1;
 312             timeofflight[index]=time;
 313             tracktoflen[index]=toflen;
 314             momentum[index]=mom;
 315             //      cout << timeofflight[index] << " " << tracktoflen[index] << " " << momentum[index] << endl;
 316             switch (abspdg) {
 317             case 211:
 318               truparticle[index]=0;
 319               break ;
 320             case 321:
 321               truparticle[index]=1;
 322               break ;
 323             case 2212:
 324               truparticle[index]=2;
 325               break ;
 326             }
 327
 328           }
 329           ipartold = ipart;
 330
 331           if(istop==10){ // start analysis on current set
 332             nset+=1;
 333             lasttrack=track;
 334             istop=0;
 335             selected=0;
 336             //cout << "starting t0 calculation for current set" << endl;
 337             for (Int_t i1=0; i1<3;i1++) {
 338               beta[0]=momentum[0]/sqrt(massarray[i1]*massarray[i1]+momentum[0]*momentum[0]);
 339               for (Int_t i2=0; i2<3;i2++) {
 340                 beta[1]=momentum[1]/sqrt(massarray[i2]*massarray[i2]+momentum[1]*momentum[1]);
 341                 for (Int_t i3=0; i3<3;i3++) {
 342                   beta[2]=momentum[2]/sqrt(massarray[i3]*massarray[i3]+momentum[2]*momentum[2]);
 343                   for (Int_t i4=0; i4<3;i4++) {
 344                     beta[3]=momentum[3]/sqrt(massarray[i4]*massarray[i4]+momentum[3]*momentum[3]);
 345                     for (Int_t i5=0; i5<3;i5++) {
 346                       beta[4]=momentum[4]/sqrt(massarray[i5]*massarray[i5]+momentum[4]*momentum[4]);
 347                       for (Int_t i6=0; i6<3;i6++) {
 348                         beta[5]=momentum[5]/sqrt(massarray[i6]*massarray[i6]+momentum[5]*momentum[5]);
 349                         for (Int_t i7=0; i7<3;i7++) {
 350                           beta[6]=momentum[6]/sqrt(massarray[i7]*massarray[i7]+momentum[6]*momentum[6]);
 351                           for (Int_t i8=0; i8<3;i8++) {
 352                             beta[7]=momentum[7]/sqrt(massarray[i8]*massarray[i8]+momentum[7]*momentum[7]);
 353                             for (Int_t i9=0; i9<3;i9++) {
 354                               beta[8]=momentum[8]/sqrt(massarray[i9]*massarray[i9]+momentum[8]*momentum[8]);
 355                               for (Int_t i10=0; i10<3;i10++) {
 356                                 beta[9]=momentum[9]/sqrt(massarray[i10]*massarray[i10]+momentum[9]*momentum[9]);
 357
 358                                 Float_t meantzero=0.;
 359                                 Float_t sumAllweights=0.;
 360                                 for (Int_t itz=0; itz<10;itz++) {
 361                                   sqMomError[itz]=((1.-beta[itz]*beta[itz])*0.025)*((1.-beta[itz]*beta[itz])*0.025)*(tracktoflen[itz]/(0.299792*beta[itz]))*(tracktoflen[itz]/(0.299792*beta[itz])); // this gives the square of the momentum error in nanoseconds
 362                                   sqTrackError[itz]=(timeresolutioninns*timeresolutioninns+sqMomError[itz]); // total error for the current track
 363                                   sumAllweights+=1./sqTrackError[itz];
 364
 365                                   timezero[itz]=(tracktoflen[itz]/(beta[itz]*0.299792))-timeofflight[itz];
 366                                   weightedtimezero[itz]=((tracktoflen[itz]/(beta[itz]*0.299792))-timeofflight[itz])/sqTrackError[itz];// weighted time zero for current track
 367                                   meantzero+=weightedtimezero[itz];
 368                                 } // end loop for (Int_t itz=0; itz<10;itz++)
 369                                 meantzero=meantzero/sumAllweights; // it is given in [ns]
 370
 371                                 dummychisquare=0.;
 372                                 // calculate the chisquare for the current assignment
 373                                 for (Int_t icsq=0; icsq<10;icsq++) {
 374                                   dummychisquare+=(timezero[icsq]-meantzero)*(timezero[icsq]-meantzero)/sqTrackError[icsq];
 375                                 } // end loop for (Int_t icsq=0; icsq<10;icsq++)
 376
 377                                 if(dummychisquare<=chisquare){
 378                                   assparticle[0]=i1;
 379                                   assparticle[1]=i2;
 380                                   assparticle[2]=i3;
 381                                   assparticle[3]=i4;
 382                                   assparticle[4]=i5;
 383                                   assparticle[5]=i6;
 384                                   assparticle[6]=i7;
 385                                   assparticle[7]=i8;
 386                                   assparticle[8]=i9;
 387                                   assparticle[9]=i10;
 388                                   chisquare=dummychisquare;
 389                                   t0best=meantzero;
 390                                 } // close if(dummychisquare<=chisquare)
 391
 392                               } // end loop on i10
 393                             } // end loop on i9
 394                           } // end loop on i8
 395                         } // end loop on i7
 396                       } // end loop on i6
 397                     } // end loop on i5
 398                   } // end loop on i4
 399                 } // end loop on i3
 400               } // end loop on i2
 401             } // end loop on i1
 402
 403             if(truparticle[0]==assparticle[0] && truparticle[1]==assparticle[1] && truparticle[2]==assparticle[2]  && truparticle[3]==assparticle[3] && truparticle[4]==assparticle[4]&& truparticle[5]==assparticle[5] && truparticle[6]==assparticle[6] && truparticle[7]==assparticle[7]  && truparticle[8]==assparticle[8] && truparticle[9]==assparticle[9]) ngood+=1;
 404             if(truparticle[0]!=assparticle[0]) nmisidentified0+=1;
 405             if(truparticle[1]!=assparticle[1]) nmisidentified1+=1;
 406             if(truparticle[2]!=assparticle[2]) nmisidentified2+=1;
 407             if(truparticle[3]!=assparticle[3]) nmisidentified3+=1;
 408             if(truparticle[4]!=assparticle[4]) nmisidentified4+=1;
 409             if(truparticle[5]!=assparticle[5]) nmisidentified5+=1;
 410             if(truparticle[6]!=assparticle[6]) nmisidentified6+=1;
 411             if(truparticle[7]!=assparticle[7]) nmisidentified7+=1;
 412             if(truparticle[8]!=assparticle[8]) nmisidentified8+=1;
 413             if(truparticle[9]!=assparticle[9]) nmisidentified9+=1;
 414             // filling histos
 415             htzerobest->Fill(t0best);
 416             hchibest->Fill(chisquare);
 417             Double_t dblechisquare=(Double_t)chisquare;
 418             Float_t confLevel=(Float_t)TMath::Prob(dblechisquare,9); // ndf 10-1=9
 419             hchibestconflevel->Fill(confLevel);
 420             itimes++;
 421             if(strstr(option,"all")){
 422               cout << "True Assignment " << truparticle[0] << truparticle[1] << truparticle[2] << truparticle[3] << truparticle[4] << truparticle[5] << truparticle[6] << truparticle[7] << truparticle[8] << truparticle[9] <<endl;
 423               cout << "Best Assignment " << assparticle[0] << assparticle[1] << assparticle[2] << assparticle[3] << assparticle[4] << assparticle[5] << assparticle[6] << assparticle[7] << assparticle[8] << assparticle[9] << endl;
 424               cout << "Minimum ChiSquare for current set    " << chisquare << endl;
 425               cout << "Confidence Level (Minimum ChiSquare) " << confLevel << endl;
 426             }
 427             if (strstr(option,"visual") && itimes && (itimes%kUPDATE) == 0) {
 428               if (itimes == kUPDATE){
 429                 c1->cd();
 430                 htzerobest->Draw();
 431                 c2->cd();
 432                 hchibest->Draw();
 433                 c3->cd();
 434                 hchibestconflevel->Draw();
 435               }
 436               c1->Modified();
 437               c1->Update();
 438               c2->Modified();
 439               c2->Update();
 440               c3->Modified();
 441               c3->Update();
 442               if (gSystem->ProcessEvents())
 443                 break;
 444             }
 445             chisquare=999.;
 446             t0best=999.;
 447
 448           } // end for the current set. close if(istop==5)
 449         } // end condition on ipartold
 450       } // end loop on hits for the current track
 451       if(istop>=10) break;
 452     } // end loop on ntracks
 453   } //event loop
 454
 455   if(strstr(option,"all")){
 456     nmisidentified=(nmisidentified0+nmisidentified1+nmisidentified2+nmisidentified3+nmisidentified4+nmisidentified5+nmisidentified6+nmisidentified7+nmisidentified8+nmisidentified9);
 457     cout << "total number of tracks token into account  " << 10*5*fNevents << endl;
 458     Float_t badPercentage=100.*(Float_t)nmisidentified/(10*5*fNevents);
 459     cout << "total misidentified                        " << nmisidentified << "("<< badPercentage << "%)" <<endl;
 460     cout << "Total Number of set token into account     " << 5*fNevents << endl;
 461     Float_t goodSetPercentage=100.*(Float_t)ngood/(5*fNevents);
 462     cout << "Number of set with no misidentified tracks " << ngood << "("<< goodSetPercentage << "%)" <<endl;
 463   }
 464
 465   // free used memory for canvas
 466   delete c1; c1=0;
 467   delete c2; c2=0;
 468   delete c3; c3=0;
 469
 470   // generating output filename only if not previously specified using SetTZeroFile
 471   char outFileName[70];
 472   strcpy(outFileName,"ht010tr120ps"); // global time resolution has to be converted from Int_t to char
 473                                       // in order to have in the output filename this parameter
 474   strcat(outFileName,fHeadersFile);
 475
 476   if(fT0File.IsNull()) fT0File=outFileName;
 477
 478   TFile* houtfile = new TFile(fT0File,"recreate");
 479   houtfile->cd();
 480   htzerobest->Write(0,TObject::kOverwrite);
 481   hchibest->Write(0,TObject::kOverwrite);
 482   hchibestconflevel->Write(0,TObject::kOverwrite);
 483   houtfile->Close();
 484
 485
 486   if(strstr(option,"tim") || strstr(option,"all")){
 487     gBenchmark->Stop("TOFT0");
 488     cout << "AliTOFT0:" << endl ;
 489     cout << "   took " << gBenchmark->GetCpuTime("TOFT0") << " seconds in order to calculate T0 "
 490          <<  gBenchmark->GetCpuTime("TOFT0")/fNevents << " seconds per event " << endl ;
 491     cout << endl ;
 492   }
 493 }
 494
 495 //__________________________________________________________________
 496 void AliTOFT0::SetTZeroFile(char * file )
 497 {
 498   //
 499   //
 500   //
 501   printf("Destination file : %s \n", file) ;
 502   fT0File=file;
 503
 504 }
 505
 506 //__________________________________________________________________
 507 void AliTOFT0::Print(Option_t* /*option*/)const
 508 {
 509   //
 510   //
 511   //
 512   printf("------------------- %s -------------\n", GetName()) ;
 513   if(!fT0File.IsNull())
 514     printf("  Writing T0 Distribution to file  %s \n",(char*) fT0File.Data());
 515
 516 }
 517
 518 //__________________________________________________________________
 519 Bool_t AliTOFT0::operator==( AliTOFT0 const &tzero )const
 520 {
 521   //
 522   // Equal operator
 523   //
 524
 525   if( (fTimeResolution==tzero.fTimeResolution)&&(fLowerMomBound==tzero.fLowerMomBound)&&(fUpperMomBound==tzero.fUpperMomBound))
 526     return kTRUE ;
 527   else
 528     return kFALSE ;
 529 }