TOF/AliTOFT0.cxx

   1 /**************************************************************************
   2  * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
   3  *                                                                        *
   4  * Author: The ALICE Off-line Project.                                    *
   5  * Contributors are mentioned in the code where appropriate.              *
   6  *                                                                        *
   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  **************************************************************************/
  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 interaction
  21 // using TOF detector is the following.
  22 // We select in the MonteCarlo some primary particles - or tracks in the following -
  23 // that strike the TOF detector (the larger part are pions, kaons or protons).
  24 // We choose a set of 10 selected tracks, for each track You have the length
  25 // of the track when the TOF is reached (a standard TOF hit does not contain this
  26 // additional information, this is the reason why we implemented a new time zero
  27 // dedicated TOF hit class AliTOFhitT0; in order to store this type of hit You
  28 // have to use the AliTOFv4T0 as TOF class in Your Config.C. In AliTOFv4T0 the
  29 // StepManager was modified in order to fill the TOF hit branch with this type
  30 // of hits; in fact the AliTOF::AddT0Hit is called rather that the usual AliTOF::AddHit),
  31 // the momentum at generation (from TreeK) and the time of flight
  32 // given by the TOF detector.
  33 // (Observe that the ctor of the AliTOF class, when the AliTOFv4T0 class is used, is called
  34 // with the "tzero" option: it is in order create the fHits TClonesArray filled with
  35 // AliTOFhitT0 objects, rather than with normal AliTOFhit)
  36 // Then Momentum and time of flight for each track are smeared according to
  37 // known experimental resolution (all sources of error have been token into account).
  38 // Let consider now only one set of 10 tracks (the algorithm is the same for all sets).
  39 // Assuming the (mass) hypothesis that each track can be AUT a pion, AUT a kaon, AUT a proton,
  40 // we consider all the 3 at 10 possible cases.
  41 // For each track in each (mass) configuration
  42 // (a configuration can be e.g. pion/pion/kaon/proton/pion/proton/kaon/kaon/pion/pion)
  43 // we calculate the time zero (we know in fact the velocity of the track after
  44 // the assumption about its mass, the time of flight given by the TOF, and the
  45 // corresponding path travelled till the TOF detector). Then for each mass configuration we have
  46 // 10 time zero and we can calculate the ChiSquare for the current configuration using the
  47 // weighted mean over all 10 time zero.
  48 // We call the best assignment the mass configuration that gives the minimum value of the ChiSquare.
  49 // We plot the weighted mean over all 10 time zero for the best assignment,
  50 // the ChiSquare for the best assignment and the corresponding confidence level.
  51 // The strong assumption is the MC selection of primary particles. It will be introduced
  52 // in the future also some more realistic simulation about this point.
  53 // Use case:
  54 // root [0] AliTOFT0 * tzero = new AliTOFT0("galice.root")
  55 // Warning in <TDatabasePDG::TDatabasePDG>: object already instantiated
  56 // root [1] tzero->ExecuteTask()
  57 // root [2] tzero->ExecuteTask("tim")
  58 //             // available parameters:
  59 //             tim - print benchmarking information
  60 //             all - print usefull informations about the number of misidentified tracks
  61 //                   and a comparison about the true configuration (known from MC) and the best
  62 //                   assignment
  63 //-- Author: F. Pierella
  64 //////////////////////////////////////////////////////////////////////////////
  65
  66 #include <Riostream.h>
  67 #include <stdlib.h>
  68
  69 #include <TBenchmark.h>
  70 #include <TCanvas.h>
  71 #include <TClonesArray.h>
  72 #include <TFile.h>
  73 #include <TFolder.h>
  74 #include <TFrame.h>
  75 #include <TH1.h>
  76 #include <TParticle.h>
  77 #include <TROOT.h>
  78 #include <TSystem.h>
  79 #include <TTask.h>
  80 #include <TTree.h>
  81 #include <TVirtualMC.h>
  82
  83 #include "AliDetector.h"
  84 #include "AliRun.h"
  85 #include "AliTOF.h"
  86 #include "AliTOFT0.h"
  87 #include "AliTOFhitT0.h"
  88 #include "AliTOFv4T0.h"
  89
  90 ClassImp(AliTOFT0)
  91
  92 //____________________________________________________________________________
  93   AliTOFT0::AliTOFT0():TTask("AliTOFT0","")
  94 {
  95   // ctor
  96   fNevents = 0 ;
  97 }
  98
  99 //____________________________________________________________________________
 100   AliTOFT0::AliTOFT0(char* headerFile, Int_t nEvents):TTask("AliTOFT0","")
 101 {
 102   fNevents=nEvents ; // Number of events for which calculate the T0,
 103                      // default 0: it means all evens in current file
 104   fLowerMomBound=1.5; // [GeV/c] default value
 105   fUpperMomBound=2. ; // [GeV/c] default value
 106   fTimeResolution   = 1.2e-10; // 120 ps by default
 107   fHeadersFile = headerFile ;
 108
 109   TFile * file = (TFile*) gROOT->GetFile(fHeadersFile.Data() ) ;
 110
 111   //File was not opened yet
 112   if(file == 0){
 113     if(fHeadersFile.Contains("rfio"))
 114       file =    TFile::Open(fHeadersFile,"update") ;
 115     else
 116       file = new TFile(fHeadersFile.Data(),"update") ;
 117     gAlice = (AliRun *) file->Get("gAlice") ;
 118   }
 119
 120   // add Task to //root/Tasks folder
 121   TTask * roottasks = (TTask*)gROOT->GetRootFolder()->FindObject("Tasks") ;
 122   roottasks->Add(this) ;
 123 }
 124
 125 //____________________________________________________________________________
 126   AliTOFT0::AliTOFT0(const AliTOFT0 & tzero):TTask("AliTOFT0","")
 127 {
 128 ( (AliTOFT0 &)tzero ).Copy(*this);
 129 }
 130
 131 //____________________________________________________________________________
 132   AliTOFT0::~AliTOFT0()
 133 {
 134   // dtor
 135 }
 136
 137 //____________________________________________________________________________
 138 void AliTOFT0::Exec(Option_t *option)
 139 {
 140   //
 141   // calculate T0 distribution for all events using chisquare
 142   //
 143   Int_t ngood=0;
 144   Int_t nmisidentified=0;
 145   Int_t nmisidentified0=0;
 146   Int_t nmisidentified1=0;
 147   Int_t nmisidentified2=0;
 148   Int_t nmisidentified3=0;
 149   Int_t nmisidentified4=0;
 150   Int_t nmisidentified5=0;
 151   Int_t nmisidentified6=0;
 152   Int_t nmisidentified7=0;
 153   Int_t nmisidentified8=0;
 154   Int_t nmisidentified9=0;
 155   Int_t ipartold = -1;
 156   Int_t ipart;
 157   Int_t selected=0;
 158   Int_t istop=0;
 159   Float_t timeresolutioninns=fTimeResolution*(1.e+9); // convert in [ns]
 160   const Int_t kUPDATE = 5; // for visual option
 161   Int_t itimes=0;
 162   TCanvas* c1=0;
 163   TCanvas* c2=0;
 164   TCanvas* c3=0;
 165
 166   if(strstr(option,"visual")){
 167     // Create a new canvas.
 168     //c1 = new TCanvas("c1","Dynamic Visual Filling of time zero histo",10,10,500,500);
 169     c1 = new TCanvas("c1","Dynamic Visual Filling of time zero histo",10,10,370,370);
 170     c1->SetFillColor(35);
 171     c1->GetFrame()->SetFillColor(21);
 172     c1->GetFrame()->SetBorderSize(6);
 173     c1->GetFrame()->SetBorderMode(-1);
 174
 175     //c2 = new TCanvas("c2","Dynamic Visual Filling of chisquare histo",550,10,500,500);
 176     c2 = new TCanvas("c2","Dynamic Visual Filling of chisquare histo",380,10,370,370);
 177     c2->SetFillColor(35);
 178     c2->GetFrame()->SetFillColor(21);
 179     c2->GetFrame()->SetBorderSize(6);
 180     c2->GetFrame()->SetBorderMode(-1);
 181
 182     //c3 = new TCanvas("c3","Dynamic Visual Filling of confidence level histo",280,550,500,500);
 183     c3 = new TCanvas("c3","Dynamic Visual Filling of confidence level histo",760,10,370,370);
 184     c3->SetFillColor(35);
 185     c3->GetFrame()->SetFillColor(21);
 186     c3->GetFrame()->SetBorderSize(6);
 187     c3->GetFrame()->SetBorderMode(-1);
 188   }
 189
 190   if(strstr(option,"tim") || strstr(option,"all"))
 191     gBenchmark->Start("TOFT0");
 192
 193   TH1F *htzerobest= new TH1F("htzerobest","T0 for best assignment",200,-1.,1.);
 194   TH1F* hchibest  = new TH1F("hchibest","ChiSquare Min Distribution",80,0.,40.);
 195   TH1F* hchibestconflevel  = new TH1F("hchibestconflevel","ChiSquare Min Confidence Level",10,0.,1.);
 196
 197   // setting histo colors
 198   if(strstr(option,"visual")){
 199     htzerobest->SetFillColor(48);
 200     hchibest->SetFillColor(50);
 201     hchibestconflevel->SetFillColor(52);
 202   }
 203
 204   Int_t   assparticle[10]={3,3,3,3,3,3,3,3,3,3};
 205   Int_t   truparticle[10]={3,3,3,3,3,3,3,3,3,3};
 206   Float_t t0best=999.;
 207   Float_t timeofflight[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
 208   Float_t momentum[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
 209   Float_t timezero[10];
 210   Float_t weightedtimezero[10];
 211   Float_t beta[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
 212   Float_t sqMomError[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
 213   Float_t sqTrackError[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
 214   Float_t massarray[3]={0.13957,0.493677,0.9382723};
 215   Float_t dummychisquare=0.;
 216   Float_t chisquare=999.;
 217   Float_t tracktoflen[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
 218
 219   AliTOF *TOF = (AliTOF *) gAlice->GetDetector ("TOF");
 220
 221   if (!TOF) {
 222     Error("AliTOFT0","TOF not found");
 223     return;
 224   }
 225
 226   if(strstr(option,"all")){
 227     cout << "Selecting primary tracks with momentum between " << fLowerMomBound << " GeV/c and " << fUpperMomBound << " GeV/c" << endl;
 228     cout << "Memorandum: 0 means PION | 1 means KAON | 2 means PROTON" << endl;
 229   }
 230
 231   if (fNevents == 0) fNevents = (Int_t) gAlice->TreeE()->GetEntries();
 232
 233   for (Int_t ievent = 0; ievent < fNevents; ievent++) {
 234     gAlice->GetEvent(ievent);
 235     TTree *TH = TOF->TreeH ();
 236     if (!TH)
 237       return;
 238     TParticle*    particle;
 239     AliTOFhitT0*  tofHit;
 240     TClonesArray* TOFhits = TOF->Hits();
 241
 242     Int_t lasttrack=-1;
 243     Int_t nset=0;
 244
 245     TH->SetBranchStatus("*",0); // switch off all branches
 246     TH->SetBranchStatus("TOF*",1); // switch on only TOF
 247
 248     // Start loop on primary tracks in the hits containers
 249
 250     Int_t ntracks = static_cast<Int_t>(TH->GetEntries());
 251     for (Int_t track = 0; track < ntracks; track++)
 252     {
 253       if(nset>=5) break; // check on the number of set analyzed
 254
 255       gAlice->ResetHits();
 256       TH->GetEvent(track);
 257       particle = gAlice->Particle(track);
 258       Int_t nhits = TOFhits->GetEntriesFast();
 259
 260       for (Int_t hit = 0; hit < nhits; hit++)
 261       {
 262         tofHit = (AliTOFhitT0 *) TOFhits->UncheckedAt(hit);
 263         ipart    = tofHit->GetTrack();
 264         // check to discard the case when the same particle is selected more than one
 265         // time
 266
 267         if (ipart != ipartold){
 268
 269           particle = (TParticle*)gAlice->Particle(ipart);
 270
 271           Float_t idealtime=tofHit->GetTof();
 272           //       Float_t time=idealtime;
 273           Float_t time   = gRandom->Gaus(idealtime, fTimeResolution);
 274           Float_t toflen=tofHit->GetLen();
 275           toflen=toflen/100.; // toflen given in m
 276           Int_t pdg   = particle->GetPdgCode();
 277           Int_t abspdg   =TMath::Abs(pdg);
 278           Float_t idealmom  = particle->P();
 279           Float_t momres=idealmom*0.025; // 2.5% res token into account for all momenta
 280           Float_t mom =gRandom->Gaus(idealmom,momres);
 281
 282           Bool_t isgoodpart=(abspdg==211 || abspdg==2212 || abspdg==321);
 283
 284           time*=1.E+9; // tof given in nanoseconds
 285           if (particle->GetFirstMother() < 0 && isgoodpart && mom<=fUpperMomBound && mom>=fLowerMomBound){
 286             selected+=1;
 287             istop=selected;
 288             if(istop>10) break;
 289             Int_t index=selected-1;
 290             timeofflight[index]=time;
 291             tracktoflen[index]=toflen;
 292             momentum[index]=mom;
 293             //      cout << timeofflight[index] << " " << tracktoflen[index] << " " << momentum[index] << endl;
 294             switch (abspdg) {
 295             case 211:
 296               truparticle[index]=0;
 297               break ;
 298             case 321:
 299               truparticle[index]=1;
 300               break ;
 301             case 2212:
 302               truparticle[index]=2;
 303               break ;
 304             }
 305
 306           }
 307           ipartold = ipart;
 308
 309           if(istop==10){ // start analysis on current set
 310             nset+=1;
 311             lasttrack=track;
 312             istop=0;
 313             selected=0;
 314             //cout << "starting t0 calculation for current set" << endl;
 315             for (Int_t i1=0; i1<3;i1++) {
 316               beta[0]=momentum[0]/sqrt(massarray[i1]*massarray[i1]+momentum[0]*momentum[0]);
 317               for (Int_t i2=0; i2<3;i2++) {
 318                 beta[1]=momentum[1]/sqrt(massarray[i2]*massarray[i2]+momentum[1]*momentum[1]);
 319                 for (Int_t i3=0; i3<3;i3++) {
 320                   beta[2]=momentum[2]/sqrt(massarray[i3]*massarray[i3]+momentum[2]*momentum[2]);
 321                   for (Int_t i4=0; i4<3;i4++) {
 322                     beta[3]=momentum[3]/sqrt(massarray[i4]*massarray[i4]+momentum[3]*momentum[3]);
 323                     for (Int_t i5=0; i5<3;i5++) {
 324                       beta[4]=momentum[4]/sqrt(massarray[i5]*massarray[i5]+momentum[4]*momentum[4]);
 325                       for (Int_t i6=0; i6<3;i6++) {
 326                         beta[5]=momentum[5]/sqrt(massarray[i6]*massarray[i6]+momentum[5]*momentum[5]);
 327                         for (Int_t i7=0; i7<3;i7++) {
 328                           beta[6]=momentum[6]/sqrt(massarray[i7]*massarray[i7]+momentum[6]*momentum[6]);
 329                           for (Int_t i8=0; i8<3;i8++) {
 330                             beta[7]=momentum[7]/sqrt(massarray[i8]*massarray[i8]+momentum[7]*momentum[7]);
 331                             for (Int_t i9=0; i9<3;i9++) {
 332                               beta[8]=momentum[8]/sqrt(massarray[i9]*massarray[i9]+momentum[8]*momentum[8]);
 333                               for (Int_t i10=0; i10<3;i10++) {
 334                                 beta[9]=momentum[9]/sqrt(massarray[i10]*massarray[i10]+momentum[9]*momentum[9]);
 335
 336                                 Float_t meantzero=0.;
 337                                 Float_t sumAllweights=0.;
 338                                 for (Int_t itz=0; itz<10;itz++) {
 339                                   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
 340                                   sqTrackError[itz]=(timeresolutioninns*timeresolutioninns+sqMomError[itz]); // total error for the current track
 341                                   sumAllweights+=1./sqTrackError[itz];
 342
 343                                   timezero[itz]=(tracktoflen[itz]/(beta[itz]*0.299792))-timeofflight[itz];
 344                                   weightedtimezero[itz]=((tracktoflen[itz]/(beta[itz]*0.299792))-timeofflight[itz])/sqTrackError[itz];// weighted time zero for current track
 345                                   meantzero+=weightedtimezero[itz];
 346                                 } // end loop for (Int_t itz=0; itz<10;itz++)
 347                                 meantzero=meantzero/sumAllweights; // it is given in [ns]
 348
 349                                 dummychisquare=0.;
 350                                 // calculate the chisquare for the current assignment
 351                                 for (Int_t icsq=0; icsq<10;icsq++) {
 352                                   dummychisquare+=(timezero[icsq]-meantzero)*(timezero[icsq]-meantzero)/sqTrackError[icsq];
 353                                 } // end loop for (Int_t icsq=0; icsq<10;icsq++)
 354
 355                                 if(dummychisquare<=chisquare){
 356                                   assparticle[0]=i1;
 357                                   assparticle[1]=i2;
 358                                   assparticle[2]=i3;
 359                                   assparticle[3]=i4;
 360                                   assparticle[4]=i5;
 361                                   assparticle[5]=i6;
 362                                   assparticle[6]=i7;
 363                                   assparticle[7]=i8;
 364                                   assparticle[8]=i9;
 365                                   assparticle[9]=i10;
 366                                   chisquare=dummychisquare;
 367                                   t0best=meantzero;
 368                                 } // close if(dummychisquare<=chisquare)
 369
 370                               } // end loop on i10
 371                             } // end loop on i9
 372                           } // end loop on i8
 373                         } // end loop on i7
 374                       } // end loop on i6
 375                     } // end loop on i5
 376                   } // end loop on i4
 377                 } // end loop on i3
 378               } // end loop on i2
 379             } // end loop on i1
 380
 381             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;
 382             if(truparticle[0]!=assparticle[0]) nmisidentified0+=1;
 383             if(truparticle[1]!=assparticle[1]) nmisidentified1+=1;
 384             if(truparticle[2]!=assparticle[2]) nmisidentified2+=1;
 385             if(truparticle[3]!=assparticle[3]) nmisidentified3+=1;
 386             if(truparticle[4]!=assparticle[4]) nmisidentified4+=1;
 387             if(truparticle[5]!=assparticle[5]) nmisidentified5+=1;
 388             if(truparticle[6]!=assparticle[6]) nmisidentified6+=1;
 389             if(truparticle[7]!=assparticle[7]) nmisidentified7+=1;
 390             if(truparticle[8]!=assparticle[8]) nmisidentified8+=1;
 391             if(truparticle[9]!=assparticle[9]) nmisidentified9+=1;
 392             // filling histos
 393             htzerobest->Fill(t0best);
 394             hchibest->Fill(chisquare);
 395             Double_t dblechisquare=(Double_t)chisquare;
 396             Float_t confLevel=(Float_t)TMath::Prob(dblechisquare,9); // ndf 10-1=9
 397             hchibestconflevel->Fill(confLevel);
 398             itimes++;
 399             if(strstr(option,"all")){
 400               cout << "True Assignment " << truparticle[0] << truparticle[1] << truparticle[2] << truparticle[3] << truparticle[4] << truparticle[5] << truparticle[6] << truparticle[7] << truparticle[8] << truparticle[9] <<endl;
 401               cout << "Best Assignment " << assparticle[0] << assparticle[1] << assparticle[2] << assparticle[3] << assparticle[4] << assparticle[5] << assparticle[6] << assparticle[7] << assparticle[8] << assparticle[9] << endl;
 402               cout << "Minimum ChiSquare for current set    " << chisquare << endl;
 403               cout << "Confidence Level (Minimum ChiSquare) " << confLevel << endl;
 404             }
 405             if (strstr(option,"visual") && itimes && (itimes%kUPDATE) == 0) {
 406               if (itimes == kUPDATE){
 407                 c1->cd();
 408                 htzerobest->Draw();
 409                 c2->cd();
 410                 hchibest->Draw();
 411                 c3->cd();
 412                 hchibestconflevel->Draw();
 413               }
 414               c1->Modified();
 415               c1->Update();
 416               c2->Modified();
 417               c2->Update();
 418               c3->Modified();
 419               c3->Update();
 420               if (gSystem->ProcessEvents())
 421                 break;
 422             }
 423             chisquare=999.;
 424             t0best=999.;
 425
 426           } // end for the current set. close if(istop==5)
 427         } // end condition on ipartold
 428       } // end loop on hits for the current track
 429       if(istop>=10) break;
 430     } // end loop on ntracks
 431   } //event loop
 432
 433   if(strstr(option,"all")){
 434     nmisidentified=(nmisidentified0+nmisidentified1+nmisidentified2+nmisidentified3+nmisidentified4+nmisidentified5+nmisidentified6+nmisidentified7+nmisidentified8+nmisidentified9);
 435     cout << "total number of tracks token into account  " << 10*5*fNevents << endl;
 436     Float_t badPercentage=100.*(Float_t)nmisidentified/(10*5*fNevents);
 437     cout << "total misidentified                        " << nmisidentified << "("<< badPercentage << "%)" <<endl;
 438     cout << "Total Number of set token into account     " << 5*fNevents << endl;
 439     Float_t goodSetPercentage=100.*(Float_t)ngood/(5*fNevents);
 440     cout << "Number of set with no misidentified tracks " << ngood << "("<< goodSetPercentage << "%)" <<endl;
 441   }
 442
 443   // free used memory for canvas
 444   delete c1; c1=0;
 445   delete c2; c2=0;
 446   delete c3; c3=0;
 447
 448   // generating output filename only if not previously specified using SetTZeroFile
 449   char outFileName[70];
 450   strcpy(outFileName,"ht010tr120ps"); // global time resolution has to be converted from Int_t to char
 451                                       // in order to have in the output filename this parameter
 452   strcat(outFileName,fHeadersFile);
 453
 454   if(fT0File.IsNull()) fT0File=outFileName;
 455
 456   TFile* houtfile = new TFile(fT0File,"recreate");
 457   houtfile->cd();
 458   htzerobest->Write(0,TObject::kOverwrite);
 459   hchibest->Write(0,TObject::kOverwrite);
 460   hchibestconflevel->Write(0,TObject::kOverwrite);
 461   houtfile->Close();
 462
 463
 464   if(strstr(option,"tim") || strstr(option,"all")){
 465     gBenchmark->Stop("TOFT0");
 466     cout << "AliTOFT0:" << endl ;
 467     cout << "   took " << gBenchmark->GetCpuTime("TOFT0") << " seconds in order to calculate T0 "
 468          <<  gBenchmark->GetCpuTime("TOFT0")/fNevents << " seconds per event " << endl ;
 469     cout << endl ;
 470   }
 471 }
 472
 473 //__________________________________________________________________
 474 void AliTOFT0::SetTZeroFile(char * file ){
 475   cout << "Destination file : " << file << endl ;
 476   fT0File=file;
 477 }
 478 //__________________________________________________________________
 479 void AliTOFT0::Print(Option_t* /*option*/)const
 480 {
 481   cout << "------------------- "<< GetName() << " -------------" << endl ;
 482   if(!fT0File.IsNull())
 483     cout << "  Writing T0 Distribution to file  " << (char*) fT0File.Data() << endl ;
 484 }
 485
 486 //__________________________________________________________________
 487 Bool_t AliTOFT0::operator==( AliTOFT0 const &tzero )const
 488 {
 489   // Equal operator.
 490   //
 491
 492   if( (fTimeResolution==tzero.fTimeResolution)&&(fLowerMomBound==tzero.fLowerMomBound)&&(fUpperMomBound==tzero.fUpperMomBound))
 493     return kTRUE ;
 494   else
 495     return kFALSE ;
 496 }
 497