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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.                                    *
5  * Contributors are mentioned in the code where appropriate.              *
6  *                                                                        *
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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 //
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 "AliMC.h"
96 #include "AliRun.h"
97
98 #include "AliTOFhitT0.h"
99 #include "AliTOFT0.h"
100 #include "AliTOF.h"
101
102 ClassImp(AliTOFT0)
103
104 //____________________________________________________________________________ 
105 AliTOFT0::AliTOFT0():
106   TTask("AliTOFT0",""),
107   fNevents(0),
108   fTimeResolution(0),
109   fLowerMomBound(0),
110   fUpperMomBound(0),
111   fT0File(""),
112   fHeadersFile("")
113 {
114   // ctor
115 }
116            
117 //____________________________________________________________________________ 
118 AliTOFT0::AliTOFT0(char* headerFile, Int_t nEvents):
119   TTask("AliTOFT0",""), 
120   fNevents(nEvents),
121   fTimeResolution(1.2e-10),
122   fLowerMomBound(1.5),
123   fUpperMomBound(2.),
124   fT0File(""),
125   fHeadersFile(headerFile)
126 {
127   //
128   //
129   //
130
131   //fNevents=nEvents ; // Number of events for which calculate the T0, 
132                      // default 0: it means all evens in current file
133   //fLowerMomBound=1.5; // [GeV/c] default value
134   //fUpperMomBound=2. ; // [GeV/c] default value
135   //fTimeResolution   = 1.2e-10; // 120 ps by default   
136   //fHeadersFile = headerFile ;
137
138   TFile * file = (TFile*) gROOT->GetFile(fHeadersFile.Data() ) ;
139
140   //File was not opened yet
141   if(file == 0){
142     if(fHeadersFile.Contains("rfio"))
143       file =    TFile::Open(fHeadersFile,"update") ;
144     else
145       file = new TFile(fHeadersFile.Data(),"update") ;
146     gAlice = (AliRun *) file->Get("gAlice") ;
147   }
148
149   // add Task to //root/Tasks folder
150   TTask * roottasks = (TTask*)gROOT->GetRootFolder()->FindObject("Tasks") ; 
151   roottasks->Add(this) ; 
152 }
153
154 //____________________________________________________________________________ 
155 AliTOFT0::AliTOFT0(const AliTOFT0 & tzero):
156   TTask("AliTOFT0",""),
157   fNevents(0),
158   fTimeResolution(0),
159   fLowerMomBound(0),
160   fUpperMomBound(0),
161   fT0File(""),
162   fHeadersFile("")
163 {
164   // copy ctr
165
166 ( (AliTOFT0 &)tzero ).Copy(*this);
167 }
168
169 //____________________________________________________________________________ 
170   AliTOFT0::~AliTOFT0()
171 {
172   // dtor
173 }
174
175 //____________________________________________________________________________
176 void AliTOFT0::Exec(Option_t *option) 
177
178   //
179   // calculate T0 distribution for all events using chisquare 
180   //
181   Int_t ngood=0;
182   Int_t nmisidentified=0;
183   Int_t nmisidentified0=0;
184   Int_t nmisidentified1=0;
185   Int_t nmisidentified2=0;
186   Int_t nmisidentified3=0;
187   Int_t nmisidentified4=0;
188   Int_t nmisidentified5=0;
189   Int_t nmisidentified6=0;
190   Int_t nmisidentified7=0;
191   Int_t nmisidentified8=0;
192   Int_t nmisidentified9=0;
193   Int_t ipartold = -1;
194   Int_t ipart;
195   Int_t selected=0;
196   Int_t istop=0;
197   Float_t timeresolutioninns=fTimeResolution*(1.e+9); // convert in [ns]
198   const Int_t kUPDATE = 5; // for visual option
199   Int_t itimes=0;
200   TCanvas* c1=0;
201   TCanvas* c2=0;
202   TCanvas* c3=0;
203
204   if(strstr(option,"visual")){
205     // Create a new canvas.
206     //c1 = new TCanvas("c1","Dynamic Visual Filling of time zero histo",10,10,500,500);
207     c1 = new TCanvas("c1","Dynamic Visual Filling of time zero histo",10,10,370,370);
208     c1->SetFillColor(35);
209     c1->GetFrame()->SetFillColor(21);
210     c1->GetFrame()->SetBorderSize(6);
211     c1->GetFrame()->SetBorderMode(-1);
212
213     //c2 = new TCanvas("c2","Dynamic Visual Filling of chisquare histo",550,10,500,500);
214     c2 = new TCanvas("c2","Dynamic Visual Filling of chisquare histo",380,10,370,370);
215     c2->SetFillColor(35);
216     c2->GetFrame()->SetFillColor(21);
217     c2->GetFrame()->SetBorderSize(6);
218     c2->GetFrame()->SetBorderMode(-1);
219
220     //c3 = new TCanvas("c3","Dynamic Visual Filling of confidence level histo",280,550,500,500);
221     c3 = new TCanvas("c3","Dynamic Visual Filling of confidence level histo",760,10,370,370);
222     c3->SetFillColor(35);
223     c3->GetFrame()->SetFillColor(21);
224     c3->GetFrame()->SetBorderSize(6);
225     c3->GetFrame()->SetBorderMode(-1);
226   }
227
228   if(strstr(option,"tim") || strstr(option,"all"))
229     gBenchmark->Start("TOFT0");
230
231   TH1F *htzerobest= new TH1F("htzerobest","T0 for best assignment",200,-1.,1.);
232   TH1F* hchibest  = new TH1F("hchibest","ChiSquare Min Distribution",80,0.,40.);
233   TH1F* hchibestconflevel  = new TH1F("hchibestconflevel","ChiSquare Min Confidence Level",10,0.,1.);
234
235   // setting histo colors
236   if(strstr(option,"visual")){
237     htzerobest->SetFillColor(48);
238     hchibest->SetFillColor(50);
239     hchibestconflevel->SetFillColor(52);
240   }
241
242   Int_t   assparticle[10]={3,3,3,3,3,3,3,3,3,3};
243   Int_t   truparticle[10]={3,3,3,3,3,3,3,3,3,3};
244   Float_t t0best=999.;
245   Float_t timeofflight[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
246   Float_t momentum[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
247   Float_t timezero[10];
248   Float_t weightedtimezero[10];
249   Float_t beta[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
250   Float_t sqMomError[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
251   Float_t sqTrackError[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
252   Float_t massarray[3]={0.13957,0.493677,0.9382723};
253   Float_t dummychisquare=0.;
254   Float_t chisquare=999.;
255   Float_t tracktoflen[10]={0.,0.,0.,0.,0.,0.,0.,0.,0.,0.};
256
257   AliTOF *detTOF = (AliTOF *) gAlice->GetDetector ("TOF");
258
259   if (!detTOF) {
260     Error("AliTOFT0","TOF not found");
261     return;
262   }
263
264   if(strstr(option,"all")){
265     AliInfo(Form("Selecting primary tracks with momentum between %d GeV/c and %d GeV/c",  fLowerMomBound, fUpperMomBound));
266     AliInfo("Memorandum: 0 means PION | 1 means KAON | 2 means PROTON")
267   }
268
269   if (fNevents == 0) fNevents = (Int_t) gAlice->TreeE()->GetEntries();
270
271   for (Int_t ievent = 0; ievent < fNevents; ievent++) {
272     gAlice->GetEvent(ievent);
273     TTree *hitTree = detTOF->TreeH ();
274     if (!hitTree)
275       return;
276     TParticle*    particle;
277     AliTOFhitT0*  tofHit;
278     TClonesArray* tofHits = detTOF->Hits();
279
280     Int_t lasttrack=-1;
281     Int_t nset=0;
282
283     hitTree->SetBranchStatus("*",0); // switch off all branches
284     hitTree->SetBranchStatus("TOF*",1); // switch on only TOF
285
286     // Start loop on primary tracks in the hits containers
287
288     Int_t ntracks = static_cast<Int_t>(hitTree->GetEntries());
289     for (Int_t track = 0; track < ntracks; track++)
290     {
291       if(nset>=5) break; // check on the number of set analyzed
292       
293       gAlice->ResetHits();
294       hitTree->GetEvent(track);
295
296       AliMC *mcApplication = (AliMC*)gAlice->GetMCApp();
297
298       particle = mcApplication->Particle(track);
299       Int_t nhits = tofHits->GetEntriesFast();
300
301       for (Int_t hit = 0; hit < nhits; hit++)
302       {
303         tofHit = (AliTOFhitT0 *) tofHits->UncheckedAt(hit);
304         ipart    = tofHit->GetTrack();
305         // check to discard the case when the same particle is selected more than one
306         // time 
307
308         if (ipart != ipartold){
309           
310           particle = (TParticle*)gAlice->GetMCApp()->Particle(ipart);
311           
312           Float_t idealtime=tofHit->GetTof();
313           //       Float_t time=idealtime;
314           Float_t time   = gRandom->Gaus(idealtime, fTimeResolution);
315           Float_t toflen=tofHit->GetLen();
316           toflen=toflen/100.; // toflen given in m
317           Int_t pdg   = particle->GetPdgCode();
318           Int_t abspdg   =TMath::Abs(pdg);
319           Float_t idealmom  = particle->P();
320           Float_t momres=idealmom*0.025; // 2.5% res token into account for all momenta
321           Float_t mom =gRandom->Gaus(idealmom,momres);
322
323           Bool_t isgoodpart=(abspdg==211 || abspdg==2212 || abspdg==321);
324
325           time*=1.E+9; // tof given in nanoseconds         
326           if (particle->GetFirstMother() < 0 && isgoodpart && mom<=fUpperMomBound && mom>=fLowerMomBound){
327             selected+=1;
328             istop=selected;
329             if(istop>10) break;
330             Int_t index=selected-1;
331             timeofflight[index]=time;
332             tracktoflen[index]=toflen;
333             momentum[index]=mom;
334             //AliInfo(Form(" %d  %d  %d ", timeofflight[index], tracktoflen[index], momentum[index]));
335             switch (abspdg) {
336             case 211:
337               truparticle[index]=0;
338               break ;
339             case 321:
340               truparticle[index]=1;
341               break ;
342             case 2212: 
343               truparticle[index]=2;
344               break ;
345             }
346             
347           }
348           ipartold = ipart;
349           
350           if(istop==10){ // start analysis on current set
351             nset+=1;
352             lasttrack=track;
353             istop=0;
354             selected=0;
355             //AliInfo("starting t0 calculation for current set");
356             for (Int_t i1=0; i1<3;i1++) {
357               beta[0]=momentum[0]/sqrt(massarray[i1]*massarray[i1]+momentum[0]*momentum[0]);
358               for (Int_t i2=0; i2<3;i2++) { 
359                 beta[1]=momentum[1]/sqrt(massarray[i2]*massarray[i2]+momentum[1]*momentum[1]);
360                 for (Int_t i3=0; i3<3;i3++) {
361                   beta[2]=momentum[2]/sqrt(massarray[i3]*massarray[i3]+momentum[2]*momentum[2]);
362                   for (Int_t i4=0; i4<3;i4++) {
363                     beta[3]=momentum[3]/sqrt(massarray[i4]*massarray[i4]+momentum[3]*momentum[3]);
364                     for (Int_t i5=0; i5<3;i5++) {
365                       beta[4]=momentum[4]/sqrt(massarray[i5]*massarray[i5]+momentum[4]*momentum[4]);
366                       for (Int_t i6=0; i6<3;i6++) {
367                         beta[5]=momentum[5]/sqrt(massarray[i6]*massarray[i6]+momentum[5]*momentum[5]);
368                         for (Int_t i7=0; i7<3;i7++) { 
369                           beta[6]=momentum[6]/sqrt(massarray[i7]*massarray[i7]+momentum[6]*momentum[6]);
370                           for (Int_t i8=0; i8<3;i8++) {
371                             beta[7]=momentum[7]/sqrt(massarray[i8]*massarray[i8]+momentum[7]*momentum[7]);
372                             for (Int_t i9=0; i9<3;i9++) {
373                               beta[8]=momentum[8]/sqrt(massarray[i9]*massarray[i9]+momentum[8]*momentum[8]);
374                               for (Int_t i10=0; i10<3;i10++) {  
375                                 beta[9]=momentum[9]/sqrt(massarray[i10]*massarray[i10]+momentum[9]*momentum[9]);
376                                 
377                                 Float_t meantzero=0.;
378                                 Float_t sumAllweights=0.;
379                                 for (Int_t itz=0; itz<10;itz++) {
380                                   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
381                                   sqTrackError[itz]=(timeresolutioninns*timeresolutioninns+sqMomError[itz]); // total error for the current track
382                                   sumAllweights+=1./sqTrackError[itz];
383
384                                   timezero[itz]=(tracktoflen[itz]/(beta[itz]*0.299792))-timeofflight[itz];
385                                   weightedtimezero[itz]=((tracktoflen[itz]/(beta[itz]*0.299792))-timeofflight[itz])/sqTrackError[itz];// weighted time zero for current track
386                                   meantzero+=weightedtimezero[itz];
387                                 } // end loop for (Int_t itz=0; itz<10;itz++)
388                                 meantzero=meantzero/sumAllweights; // it is given in [ns]
389                                 
390                                 dummychisquare=0.;
391                                 // calculate the chisquare for the current assignment
392                                 for (Int_t icsq=0; icsq<10;icsq++) {
393                                   dummychisquare+=(timezero[icsq]-meantzero)*(timezero[icsq]-meantzero)/sqTrackError[icsq];
394                                 } // end loop for (Int_t icsq=0; icsq<10;icsq++) 
395
396                                 if(dummychisquare<=chisquare){
397                                   assparticle[0]=i1;
398                                   assparticle[1]=i2;
399                                   assparticle[2]=i3;
400                                   assparticle[3]=i4;
401                                   assparticle[4]=i5;
402                                   assparticle[5]=i6;
403                                   assparticle[6]=i7;
404                                   assparticle[7]=i8;
405                                   assparticle[8]=i9;
406                                   assparticle[9]=i10;
407                                   chisquare=dummychisquare;
408                                   t0best=meantzero;
409                                 } // close if(dummychisquare<=chisquare)
410                                 
411                               } // end loop on i10
412                             } // end loop on i9
413                           } // end loop on i8
414                         } // end loop on i7
415                       } // end loop on i6
416                     } // end loop on i5
417                   } // end loop on i4
418                 } // end loop on i3
419               } // end loop on i2
420             } // end loop on i1
421
422             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;
423             if(truparticle[0]!=assparticle[0]) nmisidentified0+=1;
424             if(truparticle[1]!=assparticle[1]) nmisidentified1+=1;
425             if(truparticle[2]!=assparticle[2]) nmisidentified2+=1;
426             if(truparticle[3]!=assparticle[3]) nmisidentified3+=1;
427             if(truparticle[4]!=assparticle[4]) nmisidentified4+=1;
428             if(truparticle[5]!=assparticle[5]) nmisidentified5+=1;
429             if(truparticle[6]!=assparticle[6]) nmisidentified6+=1;
430             if(truparticle[7]!=assparticle[7]) nmisidentified7+=1;
431             if(truparticle[8]!=assparticle[8]) nmisidentified8+=1;
432             if(truparticle[9]!=assparticle[9]) nmisidentified9+=1;
433             // filling histos
434             htzerobest->Fill(t0best);
435             hchibest->Fill(chisquare);
436             Double_t dblechisquare=(Double_t)chisquare;
437             Float_t confLevel=(Float_t)TMath::Prob(dblechisquare,9); // ndf 10-1=9
438             hchibestconflevel->Fill(confLevel);
439             itimes++;
440             if(strstr(option,"all")){
441               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]));
442               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]));
443               AliInfo(Form("Minimum ChiSquare for current set   %d ", chisquare));
444               AliInfo(Form("Confidence Level (Minimum ChiSquare) %d", confLevel));
445             }
446             if (strstr(option,"visual") && itimes && (itimes%kUPDATE) == 0) {
447               if (itimes == kUPDATE){
448                 c1->cd();
449                 htzerobest->Draw();
450                 c2->cd();
451                 hchibest->Draw();
452                 c3->cd();
453                 hchibestconflevel->Draw();
454               }
455               c1->Modified();
456               c1->Update();
457               c2->Modified();
458               c2->Update();
459               c3->Modified();
460               c3->Update();
461               if (gSystem->ProcessEvents())
462                 break;
463             }
464             chisquare=999.;
465             t0best=999.;
466             
467           } // end for the current set. close if(istop==5)
468         } // end condition on ipartold
469       } // end loop on hits for the current track
470       if(istop>=10) break;
471     } // end loop on ntracks  
472   } //event loop
473   
474   if(strstr(option,"all")){
475     nmisidentified=(nmisidentified0+nmisidentified1+nmisidentified2+nmisidentified3+nmisidentified4+nmisidentified5+nmisidentified6+nmisidentified7+nmisidentified8+nmisidentified9);
476     AliInfo(Form("total number of tracks token into account  %i", 10*5*fNevents));
477     Float_t badPercentage=100.*(Float_t)nmisidentified/(10*5*fNevents);
478     AliInfo(Form("total misidentified                       %i (%d %) ", nmisidentified, badPercentage));
479     AliInfo(Form("Total Number of set token into account     %i", 5*fNevents));
480     Float_t goodSetPercentage=100.*(Float_t)ngood/(5*fNevents);
481     AliInfo(Form("Number of set with no misidentified tracks %i (%d %)", ngood, goodSetPercentage));
482   }
483
484   // free used memory for canvas
485   delete c1; c1=0;
486   delete c2; c2=0;
487   delete c3; c3=0;
488
489   // generating output filename only if not previously specified using SetTZeroFile
490   char outFileName[70];
491   strcpy(outFileName,"ht010tr120ps"); // global time resolution has to be converted from Int_t to char
492                                       // in order to have in the output filename this parameter
493   strcat(outFileName,fHeadersFile);
494
495   if(fT0File.IsNull()) fT0File=outFileName;
496
497   TFile* houtfile = new TFile(fT0File,"recreate");
498   houtfile->cd();
499   htzerobest->Write(0,TObject::kOverwrite);
500   hchibest->Write(0,TObject::kOverwrite);
501   hchibestconflevel->Write(0,TObject::kOverwrite);
502   houtfile->Close();  
503   
504   
505   if(strstr(option,"tim") || strstr(option,"all")){
506     gBenchmark->Stop("TOFT0");
507     AliInfo("AliTOFT0:");
508     /*
509     cout << "   took " << gBenchmark->GetCpuTime("TOFT0") << " seconds in order to calculate T0 " 
510          << gBenchmark->GetCpuTime("TOFT0")/fNevents << " seconds per event " << endl ;
511     */
512     gBenchmark->Print("TOFT0");
513   }
514 }
515  
516 //__________________________________________________________________
517 void AliTOFT0::SetTZeroFile(char * file )
518 {
519   //
520   //
521   //
522   printf("Destination file : %s \n", file) ;
523   fT0File=file;
524
525 }
526
527 //__________________________________________________________________
528 void AliTOFT0::Print(Option_t* /*option*/)const
529 {
530   //
531   //
532   //
533   printf("------------------- %s -------------\n", GetName()) ;
534   if(!fT0File.IsNull())
535     printf("  Writing T0 Distribution to file  %s \n",(char*) fT0File.Data());
536
537 }
538
539 //__________________________________________________________________
540 Bool_t AliTOFT0::operator==( AliTOFT0 const &tzero )const
541 {
542   //
543   // Equal operator
544   // 
545
546   if( (fTimeResolution==tzero.fTimeResolution)&&(fLowerMomBound==tzero.fLowerMomBound)&&(fUpperMomBound==tzero.fUpperMomBound))
547     return kTRUE ;
548   else
549     return kFALSE ;
550 }