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1 /**************************************************************************
2  * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
3  *                                                                        *
4  * Author: The ALICE Off-line Project.                                    *
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13  * provided "as is" without express or implied warranty.                  *
14  **************************************************************************/
15
16 /* $Id$ */
17
18 //_________________________________________________________________________
19 //
20 // This is a TTask that made the calculation of the Time zero using TOF.
21 // Description: The algorithm used to calculate the time zero of
22 // interaction using TOF detector is the following.
23 // We select in the MonteCarlo some primary particles - or tracks in
24 // the following - that strike the TOF detector (the larger part are
25 // pions, kaons or protons).
26 // We choose a set of 10 selected tracks, for each track You have the
27 // length of the track when the TOF is reached (a standard TOF hit
28 // does not contain this additional information, this is the reason
29 // why we implemented a new time zero dedicated TOF hit class
30 // AliTOFhitT0; in order to store this type of hit You have to use the
31 // AliTOFv4T0 as TOF class in Your Config.C. In AliTOFv4T0 the
32 // StepManager was modified in order to fill the TOF hit branch with
33 // this type of hits; in fact the AliTOF::AddT0Hit is called rather
34 // that the usual AliTOF::AddHit), the momentum at generation (from
35 // TreeK) and the time of flight given by the TOF detector.
36 // (Observe that the ctor of the AliTOF class, when the AliTOFv4T0
37 // class is used, is called with the "tzero" option: it is in order
38 // create the fHits TClonesArray filled with AliTOFhitT0 objects,
39 // rather than with normal AliTOFhit)
40 // Then Momentum and time of flight for each track are smeared
41 // according to known experimental resolution (all sources of error
42 // have been token into account).
43 // Let consider now only one set of 10 tracks (the algorithm is the
44 // same for all sets).
45 // Assuming the (mass) hypothesis that each track can be AUT a pion,
46 // AUT a kaon, AUT a proton, we consider all the 3 at 10 possible
47 // cases.
48 // For each track in each (mass) configuration
49 // (a configuration can be
50 // e.g. pion/pion/kaon/proton/pion/proton/kaon/kaon/pion/pion)
51 // we calculate the time zero (we know in fact the velocity of the
52 // track after the assumption about its mass, the time of flight given
53 // by the TOF, and the corresponding path travelled till the TOF
54 // detector). Then for each mass configuration we have 10 time zero
55 // and we can calculate the ChiSquare for the current configuration
56 // using the weighted mean over all 10 time zero.
57 // We call the best assignment the mass configuration that gives the
58 // minimum value of the ChiSquare.
59 // We plot the weighted mean over all 10 time zero for the best
60 // assignment, the ChiSquare for the best assignment and the
61 // corresponding confidence level.
62 // The strong assumption is the MC selection of primary particles. It
63 // will be introduced in the future also some more realistic
64 // simulation about this point.
65 //
66 // Use case:
67 // root [0] AliTOFT0 * tzero = new AliTOFT0("galice.root")
68 // Warning in <TDatabasePDG::TDatabasePDG>: object already instantiated
69 // root [1] tzero->ExecuteTask()
70 // root [2] tzero->ExecuteTask("tim")
71 //             // available parameters:
72 //             tim - print benchmarking information
73 //             all - print usefull informations about the number of
74 //                   misidentified tracks and a comparison about the
75 //                   true configuration (known from MC) and the best
76 //                   assignment
77 //
78 //-- Author: F. Pierella
79 //
80 //_________________________________________________________________________
81
82 #include <TCanvas.h>
83 #include <TClonesArray.h>
84 #include <TFile.h>
85 //#include <TFolder.h>
86 #include <TFrame.h>
87 #include <TH1.h>
88 #include <TParticle.h>
89 #include <TBenchmark.h>
90 #include <TTask.h>
91 #include <TTree.h>
92 #include <TRandom.h>
93 #include <TROOT.h>
94
95 #include "AliLoader.h"
96 #include "AliMC.h"
97 #include "AliRun.h"
98
99 #include "AliTOFhitT0.h"
100 #include "AliTOFT0.h"
101 #include "AliTOF.h"
102
103 extern TROOT *gROOT;
104 extern TRandom *gRandom;
105 extern TBenchmark *gBenchmark;
106
107 extern AliRun *gAlice;
108
109 ClassImp(AliTOFT0)
110
111 //____________________________________________________________________________ 
112 AliTOFT0::AliTOFT0():
113   TTask("AliTOFT0",""),
114   fNevents(0),
115   fTimeResolution(0),
116   fLowerMomBound(0),
117   fUpperMomBound(0),
118   fT0File(""),
119   fHeadersFile("")
120 {
121   // ctor
122 }
123            
124 //____________________________________________________________________________ 
125 AliTOFT0::AliTOFT0(char* headerFile, Int_t nEvents):
126   TTask("AliTOFT0",""), 
127   fNevents(nEvents),
128   fTimeResolution(1.2e-10),
129   fLowerMomBound(1.5),
130   fUpperMomBound(2.),
131   fT0File(""),
132   fHeadersFile(headerFile)
133 {
134   //
135   //
136   //
137
138   //fNevents=nEvents ; // Number of events for which calculate the T0, 
139                      // default 0: it means all evens in current file
140   //fLowerMomBound=1.5; // [GeV/c] default value
141   //fUpperMomBound=2. ; // [GeV/c] default value
142   //fTimeResolution   = 1.2e-10; // 120 ps by default   
143   //fHeadersFile = headerFile ;
144
145   TFile * file = (TFile*) gROOT->GetFile(fHeadersFile.Data() ) ;
146
147   //File was not opened yet
148   if(file == 0){
149     if(fHeadersFile.Contains("rfio"))
150       file =    TFile::Open(fHeadersFile,"update") ;
151     else
152       file = new TFile(fHeadersFile.Data(),"update") ;
153     gAlice = (AliRun *) file->Get("gAlice") ;
154   }
155
156   // add Task to //root/Tasks folder
157   TTask * roottasks = (TTask*)gROOT->GetRootFolder()->FindObject("Tasks") ; 
158   roottasks->Add(this) ; 
159 }
160
161 //____________________________________________________________________________ 
162 AliTOFT0::AliTOFT0(const AliTOFT0 & tzero):
163   TTask("AliTOFT0",""),
164   fNevents(0),
165   fTimeResolution(0),
166   fLowerMomBound(0),
167   fUpperMomBound(0),
168   fT0File(""),
169   fHeadersFile("")
170 {
171   // copy ctr
172
173 ( (AliTOFT0 &)tzero ).Copy(*this);
174 }
175
176 //____________________________________________________________________________ 
177   AliTOFT0::~AliTOFT0()
178 {
179   // dtor
180 }
181
182 //____________________________________________________________________________
183 void AliTOFT0::Exec(Option_t *option) 
184
185   //
186   // calculate T0 distribution for all events using chisquare 
187   //
188   Int_t ngood=0;
189   Int_t nmisidentified=0;
190   Int_t nmisidentified0=0;
191   Int_t nmisidentified1=0;
192   Int_t nmisidentified2=0;
193   Int_t nmisidentified3=0;
194   Int_t nmisidentified4=0;
195   Int_t nmisidentified5=0;
196   Int_t nmisidentified6=0;
197   Int_t nmisidentified7=0;
198   Int_t nmisidentified8=0;
199   Int_t nmisidentified9=0;
200   Int_t ipartold = -1;
201   Int_t ipart;
202   Int_t selected=0;
203   Int_t istop=0;
204   Float_t timeresolutioninns=fTimeResolution*(1.e+9); // convert in [ns]
205   const Int_t kUPDATE = 5; // for visual option
206   Int_t itimes=0;
207   TCanvas* c1=0;
208   TCanvas* c2=0;
209   TCanvas* c3=0;
210
211   if(strstr(option,"visual")){
212     // Create a new canvas.
213     //c1 = new TCanvas("c1","Dynamic Visual Filling of time zero histo",10,10,500,500);
214     c1 = new TCanvas("c1","Dynamic Visual Filling of time zero histo",10,10,370,370);
215     c1->SetFillColor(35);
216     c1->GetFrame()->SetFillColor(21);
217     c1->GetFrame()->SetBorderSize(6);
218     c1->GetFrame()->SetBorderMode(-1);
219
220     //c2 = new TCanvas("c2","Dynamic Visual Filling of chisquare histo",550,10,500,500);
221     c2 = new TCanvas("c2","Dynamic Visual Filling of chisquare histo",380,10,370,370);
222     c2->SetFillColor(35);
223     c2->GetFrame()->SetFillColor(21);
224     c2->GetFrame()->SetBorderSize(6);
225     c2->GetFrame()->SetBorderMode(-1);
226
227     //c3 = new TCanvas("c3","Dynamic Visual Filling of confidence level histo",280,550,500,500);
228     c3 = new TCanvas("c3","Dynamic Visual Filling of confidence level histo",760,10,370,370);
229     c3->SetFillColor(35);
230     c3->GetFrame()->SetFillColor(21);
231     c3->GetFrame()->SetBorderSize(6);
232     c3->GetFrame()->SetBorderMode(-1);
233   }
234
235   if(strstr(option,"tim") || strstr(option,"all"))
236     gBenchmark->Start("TOFT0");
237
238   TH1F *htzerobest= new TH1F("htzerobest","T0 for best assignment",200,-1.,1.);
239   TH1F* hchibest  = new TH1F("hchibest","ChiSquare Min Distribution",80,0.,40.);
240   TH1F* hchibestconflevel  = new TH1F("hchibestconflevel","ChiSquare Min Confidence Level",10,0.,1.);
241
242   // setting histo colors
243   if(strstr(option,"visual")){
244     htzerobest->SetFillColor(48);
245     hchibest->SetFillColor(50);
246     hchibestconflevel->SetFillColor(52);
247   }
248
249   Int_t   assparticle[10]={3,3,3,3,3,3,3,3,3,3};
250   Int_t   truparticle[10]={3,3,3,3,3,3,3,3,3,3};
251   Float_t t0best=999.;
252   Float_t timeofflight[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
253   Float_t momentum[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
254   Float_t timezero[10];
255   Float_t weightedtimezero[10];
256   Float_t beta[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
257   Float_t sqMomError[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
258   Float_t sqTrackError[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
259   Float_t massarray[3]={0.13957,0.493677,0.9382723};
260   Float_t dummychisquare=0.;
261   Float_t chisquare=999.;
262   Float_t tracktoflen[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
263
264   AliTOF *detTOF = (AliTOF *) gAlice->GetDetector ("TOF");
265
266   if (!detTOF) {
267     Error("AliTOFT0","TOF not found");
268     return;
269   }
270
271   if(strstr(option,"all")){
272     AliInfo(Form("Selecting primary tracks with momentum between %f GeV/c and %f GeV/c",  fLowerMomBound, fUpperMomBound));
273     AliInfo("Memorandum: 0 means PION | 1 means KAON | 2 means PROTON");
274   }
275
276   if (fNevents == 0) fNevents = (Int_t) AliRunLoader::Instance()->TreeE()->GetEntries();
277
278   for (Int_t ievent = 0; ievent < fNevents; ievent++) {
279     gAlice->GetEvent(ievent);
280     TTree *hitTree = detTOF->GetLoader()->TreeH ();
281     if (!hitTree)
282       return;
283     TParticle*    particle;
284     AliTOFhitT0*  tofHit;
285     TClonesArray* tofHits = detTOF->Hits();
286
287     Int_t lasttrack=-1;
288     Int_t nset=0;
289
290     hitTree->SetBranchStatus("*",0); // switch off all branches
291     hitTree->SetBranchStatus("TOF*",1); // switch on only TOF
292
293     // Start loop on primary tracks in the hits containers
294
295     Int_t ntracks = static_cast<Int_t>(hitTree->GetEntries());
296     for (Int_t track = 0; track < ntracks; track++)
297     {
298       if(nset>=5) break; // check on the number of set analyzed
299       
300       gAlice->GetMCApp()->ResetHits();
301       hitTree->GetEvent(track);
302
303       //AliMC *mcApplication = (AliMC*)gAlice->GetMCApp();
304
305       //particle = mcApplication->Particle(track);
306       Int_t nhits = tofHits->GetEntriesFast();
307
308       for (Int_t hit = 0; hit < nhits; hit++)
309       {
310         tofHit = (AliTOFhitT0 *) tofHits->UncheckedAt(hit);
311         ipart    = tofHit->GetTrack();
312         // check to discard the case when the same particle is selected more than one
313         // time 
314
315         if (ipart != ipartold){
316           
317           particle = (TParticle*)gAlice->GetMCApp()->Particle(ipart);
318           
319           Float_t idealtime=tofHit->GetTof();
320           //       Float_t time=idealtime;
321           Float_t time   = gRandom->Gaus(idealtime, fTimeResolution);
322           Float_t toflen=tofHit->GetLen();
323           toflen=toflen/100.; // toflen given in m
324           Int_t pdg   = particle->GetPdgCode();
325           Int_t abspdg   =TMath::Abs(pdg);
326           Float_t idealmom  = particle->P();
327           Float_t momres=idealmom*0.025; // 2.5% res token into account for all momenta
328           Float_t mom =gRandom->Gaus(idealmom,momres);
329
330           Bool_t isgoodpart=(abspdg==211 || abspdg==2212 || abspdg==321);
331
332           time*=1.E+9; // tof given in nanoseconds         
333           if (particle->GetFirstMother() < 0 && isgoodpart && mom<=fUpperMomBound && mom>=fLowerMomBound){
334             selected+=1;
335             istop=selected;
336             if(istop>10) break;
337             Int_t index=selected-1;
338             timeofflight[index]=time;
339             tracktoflen[index]=toflen;
340             momentum[index]=mom;
341             //AliInfo(Form(" %d  %d  %d ", timeofflight[index], tracktoflen[index], momentum[index]));
342             switch (abspdg) {
343             case 211:
344               truparticle[index]=0;
345               break ;
346             case 321:
347               truparticle[index]=1;
348               break ;
349             case 2212: 
350               truparticle[index]=2;
351               break ;
352             }
353             
354           }
355           ipartold = ipart;
356           
357           if(istop==10){ // start analysis on current set
358             nset+=1;
359             lasttrack=track;
360             istop=0;
361             selected=0;
362             //AliInfo("starting t0 calculation for current set");
363             for (Int_t i1=0; i1<3;i1++) {
364               beta[0]=momentum[0]/sqrt(massarray[i1]*massarray[i1]+momentum[0]*momentum[0]);
365               for (Int_t i2=0; i2<3;i2++) { 
366                 beta[1]=momentum[1]/sqrt(massarray[i2]*massarray[i2]+momentum[1]*momentum[1]);
367                 for (Int_t i3=0; i3<3;i3++) {
368                   beta[2]=momentum[2]/sqrt(massarray[i3]*massarray[i3]+momentum[2]*momentum[2]);
369                   for (Int_t i4=0; i4<3;i4++) {
370                     beta[3]=momentum[3]/sqrt(massarray[i4]*massarray[i4]+momentum[3]*momentum[3]);
371                     for (Int_t i5=0; i5<3;i5++) {
372                       beta[4]=momentum[4]/sqrt(massarray[i5]*massarray[i5]+momentum[4]*momentum[4]);
373                       for (Int_t i6=0; i6<3;i6++) {
374                         beta[5]=momentum[5]/sqrt(massarray[i6]*massarray[i6]+momentum[5]*momentum[5]);
375                         for (Int_t i7=0; i7<3;i7++) { 
376                           beta[6]=momentum[6]/sqrt(massarray[i7]*massarray[i7]+momentum[6]*momentum[6]);
377                           for (Int_t i8=0; i8<3;i8++) {
378                             beta[7]=momentum[7]/sqrt(massarray[i8]*massarray[i8]+momentum[7]*momentum[7]);
379                             for (Int_t i9=0; i9<3;i9++) {
380                               beta[8]=momentum[8]/sqrt(massarray[i9]*massarray[i9]+momentum[8]*momentum[8]);
381                               for (Int_t i10=0; i10<3;i10++) {  
382                                 beta[9]=momentum[9]/sqrt(massarray[i10]*massarray[i10]+momentum[9]*momentum[9]);
383                                 
384                                 Float_t meantzero=0.;
385                                 Float_t sumAllweights=0.;
386                                 for (Int_t itz=0; itz<10;itz++) {
387                                   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
388                                   sqTrackError[itz]=(timeresolutioninns*timeresolutioninns+sqMomError[itz]); // total error for the current track
389                                   sumAllweights+=1./sqTrackError[itz];
390
391                                   timezero[itz]=(tracktoflen[itz]/(beta[itz]*0.299792))-timeofflight[itz];
392                                   weightedtimezero[itz]=((tracktoflen[itz]/(beta[itz]*0.299792))-timeofflight[itz])/sqTrackError[itz];// weighted time zero for current track
393                                   meantzero+=weightedtimezero[itz];
394                                 } // end loop for (Int_t itz=0; itz<10;itz++)
395                                 meantzero=meantzero/sumAllweights; // it is given in [ns]
396                                 
397                                 dummychisquare=0.;
398                                 // calculate the chisquare for the current assignment
399                                 for (Int_t icsq=0; icsq<10;icsq++) {
400                                   dummychisquare+=(timezero[icsq]-meantzero)*(timezero[icsq]-meantzero)/sqTrackError[icsq];
401                                 } // end loop for (Int_t icsq=0; icsq<10;icsq++) 
402
403                                 if(dummychisquare<=chisquare){
404                                   assparticle[0]=i1;
405                                   assparticle[1]=i2;
406                                   assparticle[2]=i3;
407                                   assparticle[3]=i4;
408                                   assparticle[4]=i5;
409                                   assparticle[5]=i6;
410                                   assparticle[6]=i7;
411                                   assparticle[7]=i8;
412                                   assparticle[8]=i9;
413                                   assparticle[9]=i10;
414                                   chisquare=dummychisquare;
415                                   t0best=meantzero;
416                                 } // close if(dummychisquare<=chisquare)
417                                 
418                               } // end loop on i10
419                             } // end loop on i9
420                           } // end loop on i8
421                         } // end loop on i7
422                       } // end loop on i6
423                     } // end loop on i5
424                   } // end loop on i4
425                 } // end loop on i3
426               } // end loop on i2
427             } // end loop on i1
428
429             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;
430             if(truparticle[0]!=assparticle[0]) nmisidentified0+=1;
431             if(truparticle[1]!=assparticle[1]) nmisidentified1+=1;
432             if(truparticle[2]!=assparticle[2]) nmisidentified2+=1;
433             if(truparticle[3]!=assparticle[3]) nmisidentified3+=1;
434             if(truparticle[4]!=assparticle[4]) nmisidentified4+=1;
435             if(truparticle[5]!=assparticle[5]) nmisidentified5+=1;
436             if(truparticle[6]!=assparticle[6]) nmisidentified6+=1;
437             if(truparticle[7]!=assparticle[7]) nmisidentified7+=1;
438             if(truparticle[8]!=assparticle[8]) nmisidentified8+=1;
439             if(truparticle[9]!=assparticle[9]) nmisidentified9+=1;
440             // filling histos
441             htzerobest->Fill(t0best);
442             hchibest->Fill(chisquare);
443             Double_t dblechisquare=(Double_t)chisquare;
444             Float_t confLevel=(Float_t)TMath::Prob(dblechisquare,9); // ndf 10-1=9
445             hchibestconflevel->Fill(confLevel);
446             itimes++;
447             if(strstr(option,"all")){
448               AliInfo(Form("True Assignment %d  %d  %d  %d  %d  %d  %d  %d  %d  %d", truparticle[0], truparticle[1], truparticle[2], truparticle[3], truparticle[4], truparticle[5], truparticle[6], truparticle[7], truparticle[8], truparticle[9]));
449               AliInfo(Form("Best Assignment %d  %d  %d  %d  %d  %d  %d  %d  %d  %d", assparticle[0], assparticle[1], assparticle[2], assparticle[3], assparticle[4], assparticle[5], assparticle[6], assparticle[7], assparticle[8], assparticle[9]));
450               AliInfo(Form("Minimum ChiSquare for current set   %f ", chisquare));
451               AliInfo(Form("Confidence Level (Minimum ChiSquare) %f", confLevel));
452             }
453             if (strstr(option,"visual") && itimes && (itimes%kUPDATE) == 0) {
454               if (itimes == kUPDATE){
455                 c1->cd();
456                 htzerobest->Draw();
457                 c2->cd();
458                 hchibest->Draw();
459                 c3->cd();
460                 hchibestconflevel->Draw();
461               }
462               c1->Modified();
463               c1->Update();
464               c2->Modified();
465               c2->Update();
466               c3->Modified();
467               c3->Update();
468               if (gSystem->ProcessEvents())
469                 break;
470             }
471             chisquare=999.;
472             t0best=999.;
473             
474           } // end for the current set. close if(istop==5)
475         } // end condition on ipartold
476       } // end loop on hits for the current track
477       if(istop>=10) break;
478     } // end loop on ntracks  
479   } //event loop
480   
481   if(strstr(option,"all")){
482     nmisidentified=(nmisidentified0+nmisidentified1+nmisidentified2+nmisidentified3+nmisidentified4+nmisidentified5+nmisidentified6+nmisidentified7+nmisidentified8+nmisidentified9);
483     AliInfo(Form("total number of tracks token into account  %i", 10*5*fNevents));
484     Float_t badPercentage=100.*(Float_t)nmisidentified/(10*5*fNevents);
485     AliInfo(Form("total misidentified                       %i (%f %%) ", nmisidentified, badPercentage));
486     AliInfo(Form("Total Number of set token into account     %i", 5*fNevents));
487     Float_t goodSetPercentage=100.*(Float_t)ngood/(5*fNevents);
488     AliInfo(Form("Number of set with no misidentified tracks %i (%f %%)", ngood, goodSetPercentage));
489   }
490
491   // free used memory for canvas
492   delete c1; c1=0;
493   delete c2; c2=0;
494   delete c3; c3=0;
495
496   // generating output filename only if not previously specified using SetTZeroFile
497
498   /*const*/ Int_t kSize = 70+fHeadersFile.Length()+1;
499   char outFileName[kSize];
500   strncpy(outFileName,"ht010tr120ps",kSize); // global time resolution has to be converted from Int_t to char
501                                       // in order to have in the output filename this parameter
502   strncat(outFileName,fHeadersFile,kSize);
503
504   if(fT0File.IsNull()) fT0File=outFileName;
505
506   TFile* houtfile = new TFile(fT0File,"recreate");
507   houtfile->cd();
508   htzerobest->Write(0,TObject::kOverwrite);
509   hchibest->Write(0,TObject::kOverwrite);
510   hchibestconflevel->Write(0,TObject::kOverwrite);
511   houtfile->Close();  
512   
513   
514   if(strstr(option,"tim") || strstr(option,"all")){
515     gBenchmark->Stop("TOFT0");
516     AliInfo("AliTOFT0:");
517     /*
518     cout << "   took " << gBenchmark->GetCpuTime("TOFT0") << " seconds in order to calculate T0 " 
519          << gBenchmark->GetCpuTime("TOFT0")/fNevents << " seconds per event " << endl ;
520     */
521     gBenchmark->Print("TOFT0");
522   }
523 }
524  
525 //__________________________________________________________________
526 void AliTOFT0::SetTZeroFile(char * file )
527 {
528   //
529   // Set T0 file name
530   //
531   printf("Destination file : %s \n", file) ;
532   fT0File=file;
533
534 }
535
536 //__________________________________________________________________
537 void AliTOFT0::Print(Option_t* /*option*/)const
538 {
539   //
540   // Print class content
541   //
542   printf("------------------- %s -------------\n", GetName()) ;
543   if(!fT0File.IsNull())
544     printf("  Writing T0 Distribution to file  %s \n",(char*) fT0File.Data());
545
546 }
547
548 //__________________________________________________________________
549 Bool_t AliTOFT0::operator==( AliTOFT0 const &tzero )const
550 {
551   //
552   // Equal operator
553   // 
554
555   if( (fTimeResolution==tzero.fTimeResolution)&&(fLowerMomBound==tzero.fLowerMomBound)&&(fUpperMomBound==tzero.fUpperMomBound))
556     return kTRUE ;
557   else
558     return kFALSE ;
559 }