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536031f2 | 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: AliTOFT0v1.cxx,v 1.8 2003/10/23 16:32:20 hristov Exp $ */ | |
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] AliTOFT0v1 * tzero = new AliTOFT0v1("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 | // Different Selections for pp and Pb-Pb: Momentum Range, Max Time, # pions | |
64 | //-- Author: F. Pierella | |
65 | //-- Mod By SA. | |
66 | ////////////////////////////////////////////////////////////////////////////// | |
67 | ||
68 | #include <Riostream.h> | |
69 | #include <stdlib.h> | |
70 | ||
71 | #include <TBenchmark.h> | |
72 | #include <TCanvas.h> | |
73 | #include <TClonesArray.h> | |
74 | #include <TFile.h> | |
75 | #include <TFolder.h> | |
76 | #include <TFrame.h> | |
77 | #include <TH1.h> | |
78 | #include <TH2.h> | |
79 | #include <TProfile.h> | |
80 | #include <TParticle.h> | |
81 | #include <TROOT.h> | |
82 | #include <TSystem.h> | |
83 | #include <TTree.h> | |
84 | #include <TVirtualMC.h> | |
85 | #include "AliTOFT0v1.h" | |
86 | #include "AliMC.h" | |
87 | #include "AliESDtrack.h" | |
88 | #include "AliESD.h" | |
89 | #include <AliStack.h> | |
90 | #include "AliESDtrackCuts.h" | |
91 | #include "AliTOFcalibHisto.h" | |
92 | ||
93 | ClassImp(AliTOFT0v1) | |
94 | ||
95 | //____________________________________________________________________________ | |
96 | AliTOFT0v1::AliTOFT0v1(AliESDEvent* event) | |
97 | { | |
98 | fLowerMomBound=0.4; // [GeV/c] default value pp | |
99 | fUpperMomBound=2.0 ; // [GeV/c] default value pp | |
100 | fTimeResolution = 0.80e-10; // 80 ps by default | |
101 | fTimeCorr = 0.0; // in ns by default | |
102 | fLOffset=0.0; | |
103 | fT0Offset=0.0; | |
104 | fEvent=event; | |
105 | ||
106 | fT0SigmaT0def[0]=-999.; | |
107 | fT0SigmaT0def[1]=999.; | |
108 | fT0SigmaT0def[2]=-999.; | |
109 | fT0SigmaT0def[3]=-999.; | |
110 | ||
111 | fDeltaTfromMisallinement = 0.; // in ps | |
112 | } | |
113 | ||
114 | //____________________________________________________________________________ | |
115 | AliTOFT0v1::AliTOFT0v1(const AliTOFT0v1 & tzero) | |
116 | { | |
117 | ( (AliTOFT0v1 &)tzero ).Copy(*this); | |
118 | } | |
119 | ||
120 | //____________________________________________________________________________ | |
121 | AliTOFT0v1::~AliTOFT0v1() | |
122 | { | |
123 | // dtor | |
124 | ||
125 | } | |
126 | void AliTOFT0v1::SetTimeResolution(Double_t timeresolution){ | |
127 | fTimeResolution=timeresolution; | |
128 | } | |
129 | //____________________________________________________________________________ | |
130 | //____________________________________________________________________________ | |
131 | Double_t * AliTOFT0v1::DefineT0(Option_t *option) | |
132 | { | |
133 | Float_t timeresolutioninns=fTimeResolution*(1.e+9) * TMath::Sqrt(2.); // convert in [ns] | |
134 | ||
135 | const Int_t nmaxtracksinset=10; | |
136 | if(strstr(option,"all")){ | |
137 | cout << "Selecting primary tracks with momentum between " << fLowerMomBound << " GeV/c and " << fUpperMomBound << " GeV/c" << endl; | |
138 | cout << "Memorandum: 0 means PION | 1 means KAON | 2 means PROTON" << endl; | |
139 | } | |
140 | ||
141 | ||
142 | Int_t nsets=0; | |
143 | Int_t NusedTracks=0; | |
144 | Int_t ngoodsetsSel= 0; | |
145 | Float_t t0bestSel[300]; | |
146 | Float_t Et0bestSel[300]; | |
147 | Float_t ChisquarebestSel[300]; | |
148 | Float_t ConfLevelbestSel[300]; | |
149 | Float_t t0bestallSel=0.; | |
150 | Float_t Et0bestallSel=0.; | |
151 | Float_t sumWt0bestallSel=0.; | |
152 | Float_t Emeantzeropi=0.; | |
153 | Float_t meantzeropi=0.; | |
154 | Float_t sumAllweightspi=0.; | |
155 | Double_t t0def=-999; | |
156 | Double_t deltat0def=999; | |
157 | Int_t ngoodtrktrulyused=0; | |
158 | Int_t ntracksinsetmyCut = 0; | |
159 | ||
160 | Int_t ntrk=fEvent->GetNumberOfTracks(); | |
161 | ||
162 | AliESDtrack **tracks=new AliESDtrack*[ntrk]; | |
163 | Int_t ngoodtrk=0; | |
164 | Int_t ngoodtrkt0 =0; | |
165 | Float_t mintime =1E6; | |
166 | ||
167 | // First Track loop, Selection of good tracks | |
168 | ||
169 | for (Int_t itrk=0; itrk<ntrk; itrk++) { | |
170 | AliESDtrack *t=fEvent->GetTrack(itrk); | |
171 | Double_t momOld=t->GetP(); | |
172 | Double_t mom=momOld-0.0036*momOld; | |
173 | if ((t->GetStatus()&AliESDtrack::kTIME)==0) continue; | |
174 | Double_t time=t->GetTOFsignal(); | |
175 | ||
176 | time*=1.E-3; // tof given in nanoseconds | |
177 | if (!(mom<=fUpperMomBound && mom>=fLowerMomBound))continue; | |
178 | ||
179 | AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts(); | |
180 | Bool_t tpcRefit = kTRUE; | |
181 | Double_t nSigma = 4; | |
182 | Bool_t sigmaToVertex = kTRUE; | |
183 | esdTrackCuts->SetRequireSigmaToVertex(sigmaToVertex); | |
184 | if (sigmaToVertex) { | |
185 | esdTrackCuts->SetMaxNsigmaToVertex(nSigma); | |
186 | } | |
187 | else{ | |
188 | esdTrackCuts->SetMaxDCAToVertexZ(3.0); | |
189 | esdTrackCuts->SetMaxDCAToVertexXY(3.0); | |
190 | } | |
191 | esdTrackCuts->SetRequireTPCRefit(tpcRefit); | |
192 | esdTrackCuts->SetAcceptKinkDaughters(kFALSE); | |
193 | esdTrackCuts->SetMinNClustersTPC(50); | |
194 | esdTrackCuts->SetMaxChi2PerClusterTPC(3.5); | |
195 | Bool_t accepted; | |
196 | accepted=esdTrackCuts->AcceptTrack(t); | |
197 | if(!accepted) continue; | |
198 | ||
199 | if(t->GetP() < fLowerMomBound || t->GetIntegratedLength() < 350 || t->GetTOFsignalToT() < 0.000000001)continue; //skip decays | |
200 | if(time <= mintime) mintime=time; | |
201 | tracks[ngoodtrk]=t; | |
202 | ngoodtrk++; | |
203 | } | |
204 | ||
205 | ||
206 | cout << " T0 offset selected for this sample : " << fT0Offset << endl; | |
207 | cout << " N. of ESD tracks : " << ntrk << endl; | |
208 | cout << " N. of preselected tracks : " << ngoodtrk << endl; | |
209 | cout << " Minimum tof time in set (in ns) : " << mintime << endl; | |
210 | ||
211 | AliESDtrack **gtracks=new AliESDtrack*[ngoodtrk]; | |
212 | ||
213 | for (Int_t jtrk=0; jtrk< ngoodtrk; jtrk++) { | |
214 | AliESDtrack *t=tracks[jtrk]; | |
215 | Double_t time=t->GetTOFsignal(); | |
216 | ||
217 | if((time-mintime*1.E3)<50.E3){ // For pp and per | |
218 | gtracks[ngoodtrkt0]=t; | |
219 | ngoodtrkt0++; | |
220 | } | |
221 | } | |
222 | ||
223 | ||
224 | Int_t nseteq = (ngoodtrkt0-1)/nmaxtracksinset + 1; | |
225 | Int_t nmaxtracksinsetCurrent=ngoodtrkt0/nseteq; | |
226 | if(nmaxtracksinsetCurrent*nseteq < ngoodtrkt0) nmaxtracksinsetCurrent++; | |
227 | ||
228 | if(ngoodtrkt0<2){ | |
229 | cout << "less than 2 tracks, skip event " << endl; | |
230 | t0def=-999; | |
231 | deltat0def=0.600; | |
232 | fT0SigmaT0def[0]=t0def; | |
233 | fT0SigmaT0def[1]=deltat0def; | |
234 | fT0SigmaT0def[2]=ngoodtrkt0; | |
235 | fT0SigmaT0def[3]=ngoodtrkt0; | |
236 | //goto finish; | |
237 | } | |
238 | if(ngoodtrkt0>=2){ | |
239 | // Decide how many tracks in set | |
240 | Int_t ntracksinset = min(ngoodtrkt0,nmaxtracksinsetCurrent); | |
241 | Int_t nset=1; | |
242 | ||
243 | if(ngoodtrkt0>nmaxtracksinsetCurrent) {nset= (Int_t)(ngoodtrkt0/ntracksinset)+1;} | |
244 | ||
245 | cout << " number of sets = " << nset << endl; | |
246 | ||
247 | if(strstr(option,"tim") || strstr(option,"all"))gBenchmark->Start("TOFT0v1"); | |
248 | ||
249 | // Loop over selected sets | |
250 | ||
251 | if(nset>=1){ | |
252 | for (Int_t i=0; i< nset; i++) { | |
253 | ||
254 | Float_t t0best=999.; | |
255 | Float_t Et0best=999.; | |
256 | Float_t chisquarebest=99999.; | |
257 | Int_t npionbest=0; | |
258 | ||
259 | Int_t ntracksinsetmy=0; | |
260 | AliESDtrack **tracksT0=new AliESDtrack*[ntracksinset]; | |
261 | for (Int_t itrk=0; itrk<ntracksinset; itrk++) { | |
262 | Int_t index = itrk+i*ntracksinset; | |
263 | if(index < ngoodtrkt0){ | |
264 | AliESDtrack *t=gtracks[index]; | |
265 | tracksT0[itrk]=t; | |
266 | ntracksinsetmy++; | |
267 | } | |
268 | } | |
269 | ||
270 | // Analyse it | |
271 | ||
272 | Int_t assparticle[nmaxtracksinset]; | |
273 | Float_t exptof[nmaxtracksinset][3]; | |
274 | Float_t timeofflight[nmaxtracksinset]; | |
275 | Float_t momentum[nmaxtracksinset]; | |
276 | Float_t timezero[nmaxtracksinset]; | |
277 | Float_t weightedtimezero[nmaxtracksinset]; | |
278 | Float_t beta[nmaxtracksinset]; | |
279 | Float_t texp[nmaxtracksinset]; | |
280 | Float_t dtexp[nmaxtracksinset]; | |
281 | Float_t sqMomError[nmaxtracksinset]; | |
282 | Float_t sqTrackError[nmaxtracksinset]; | |
283 | Float_t massarray[3]={0.13957,0.493677,0.9382723}; | |
284 | Float_t tracktoflen[nmaxtracksinset]; | |
285 | Float_t besttimezero[nmaxtracksinset]; | |
286 | Float_t besttexp[nmaxtracksinset]; | |
287 | Float_t besttimeofflight[nmaxtracksinset]; | |
288 | Float_t bestmomentum[nmaxtracksinset]; | |
289 | Float_t bestchisquare[nmaxtracksinset]; | |
290 | Float_t bestweightedtimezero[nmaxtracksinset]; | |
291 | Float_t bestsqTrackError[nmaxtracksinset]; | |
292 | Int_t imass[nmaxtracksinset]; | |
293 | ||
294 | for (Int_t j=0; j<ntracksinset; j++) { | |
295 | assparticle[j] = 3; | |
296 | timeofflight[j] = 0; | |
297 | momentum[j] = 0; | |
298 | timezero[j] = 0; | |
299 | weightedtimezero[j] = 0; | |
300 | beta[j] = 0; | |
301 | texp[j] = 0; | |
302 | dtexp[j] = 0; | |
303 | sqMomError[j] = 0; | |
304 | sqTrackError[j] = 0; | |
305 | tracktoflen[j] = 0; | |
306 | besttimezero[j] = 0; | |
307 | besttexp[j] = 0; | |
308 | besttimeofflight[j] = 0; | |
309 | bestmomentum[j] = 0; | |
310 | bestchisquare[j] = 0; | |
311 | bestweightedtimezero[j] = 0; | |
312 | bestsqTrackError[j] = 0; | |
313 | imass[j] = 1; | |
314 | } | |
315 | ||
316 | for (Int_t j=0; j<ntracksinsetmy; j++) { | |
317 | AliESDtrack *t=tracksT0[j]; | |
318 | Double_t momOld=t->GetP(); | |
319 | Double_t mom=momOld-0.0036*momOld; | |
320 | Double_t time=t->GetTOFsignal(); | |
321 | ||
322 | time*=1.E-3; // tof given in nanoseconds | |
323 | Double_t exptime[10]; t->GetIntegratedTimes(exptime); | |
324 | Double_t toflen=t->GetIntegratedLength(); | |
325 | toflen=toflen/100.; // toflen given in m | |
326 | ||
327 | timeofflight[j]=time+fT0Offset; | |
328 | tracktoflen[j]=toflen+fLOffset; | |
329 | exptof[j][0]=exptime[2]*1.E-3+fTimeCorr;// in ns | |
330 | exptof[j][1]=exptime[3]*1.E-3+fTimeCorr; | |
331 | exptof[j][2]=exptime[4]*1.E-3+fTimeCorr; | |
332 | momentum[j]=mom; | |
333 | assparticle[j]=3; | |
334 | ||
335 | } //end for (Int_t j=0; j<ntracksinsetmy; j++) { | |
336 | ||
337 | cout << "starting t0 calculation for current set" << endl; | |
338 | for (Int_t itz=0; itz<ntracksinsetmy;itz++) { | |
339 | beta[itz]=momentum[itz]/sqrt(massarray[0]*massarray[0] | |
340 | +momentum[itz]*momentum[itz]); | |
341 | sqMomError[itz]= ((1.-beta[itz]*beta[itz])*0.01)*((1.-beta[itz]*beta[itz])*0.01)*(tracktoflen[itz]/(0.299792*beta[itz]))*(tracktoflen[itz]/(0.299792*beta[itz])); | |
342 | sqTrackError[itz]=(timeresolutioninns*timeresolutioninns+sqMomError[itz]); //in ns | |
343 | timezero[itz]=exptof[itz][0]-timeofflight[itz];// in ns | |
344 | weightedtimezero[itz]=timezero[itz]/sqTrackError[itz]; | |
345 | sumAllweightspi+=1./sqTrackError[itz]; | |
346 | meantzeropi+=weightedtimezero[itz]; | |
347 | } // end loop for (Int_t itz=0; itz< ntracksinset;itz++) | |
348 | ||
349 | ||
350 | // Then, Combinatorial Algorithm | |
351 | ||
352 | if(ntracksinsetmy<2 )break; | |
353 | ||
354 | for (Int_t j=0; j<ntracksinsetmy; j++) { | |
355 | imass[j] = 3; | |
356 | } | |
357 | ||
358 | Int_t ncombinatorial = Int_t(TMath::Power(3,ntracksinsetmy)); | |
359 | ||
360 | // Loop on mass hypotheses | |
361 | for (Int_t k=0; k < ncombinatorial;k++) { | |
362 | for (Int_t j=0; j<ntracksinsetmy; j++) { | |
363 | imass[j] = (k % Int_t(TMath::Power(3,ntracksinsetmy-j)))/Int_t(TMath::Power(3,ntracksinsetmy-j-1)); | |
364 | texp[j]=exptof[j][imass[j]]; | |
365 | dtexp[j]=GetMomError(imass[j], momentum[j], texp[j]); | |
366 | } | |
367 | Float_t sumAllweights=0.; | |
368 | Float_t meantzero=0.; | |
369 | Float_t Emeantzero=0.; | |
370 | ||
371 | for (Int_t itz=0; itz<ntracksinsetmy;itz++) { | |
372 | sqTrackError[itz]= | |
373 | (timeresolutioninns* | |
374 | timeresolutioninns | |
375 | +dtexp[itz]*dtexp[itz]*1E-6); //in ns2 | |
376 | ||
377 | timezero[itz]=texp[itz]-timeofflight[itz];// in ns | |
378 | ||
379 | weightedtimezero[itz]=timezero[itz]/sqTrackError[itz]; | |
380 | sumAllweights+=1./sqTrackError[itz]; | |
381 | meantzero+=weightedtimezero[itz]; | |
382 | ||
383 | } // end loop for (Int_t itz=0; itz<15;itz++) | |
384 | ||
385 | meantzero=meantzero/sumAllweights; // it is given in [ns] | |
386 | Emeantzero=sqrt(1./sumAllweights); // it is given in [ns] | |
387 | ||
388 | // calculate chisquare | |
389 | ||
390 | Float_t chisquare=0.; | |
391 | for (Int_t icsq=0; icsq<ntracksinsetmy;icsq++) { | |
392 | chisquare+=(timezero[icsq]-meantzero)*(timezero[icsq]-meantzero)/sqTrackError[icsq]; | |
393 | ||
394 | } // end loop for (Int_t icsq=0; icsq<15;icsq++) | |
395 | ||
396 | if(chisquare<=chisquarebest){ | |
397 | for(Int_t iqsq = 0; iqsq<ntracksinsetmy; iqsq++) { | |
398 | ||
399 | bestsqTrackError[iqsq]=sqTrackError[iqsq]; | |
400 | besttimezero[iqsq]=timezero[iqsq]; | |
401 | bestmomentum[iqsq]=momentum[iqsq]; | |
402 | besttimeofflight[iqsq]=timeofflight[iqsq]; | |
403 | besttexp[iqsq]=texp[iqsq]; | |
404 | bestweightedtimezero[iqsq]=weightedtimezero[iqsq]; | |
405 | bestchisquare[iqsq]=(timezero[iqsq]-meantzero)*(timezero[iqsq]-meantzero)/sqTrackError[iqsq]; | |
406 | } | |
407 | ||
408 | Int_t npion=0; | |
409 | for (Int_t j=0; j<ntracksinsetmy; j++) { | |
410 | assparticle[j]=imass[j]; | |
411 | if(imass[j] == 0) npion++; | |
412 | } | |
413 | npionbest=npion; | |
414 | chisquarebest=chisquare; | |
415 | t0best=meantzero; | |
416 | Et0best=Emeantzero; | |
417 | } // close if(dummychisquare<=chisquare) | |
418 | ||
419 | } | |
420 | ||
421 | Double_t chi2cut[nmaxtracksinset]; | |
422 | chi2cut[0] = 0; | |
423 | chi2cut[1] = 6.6; // corresponding to a C.L. of 0.01 | |
424 | for (Int_t j=2; j<ntracksinset; j++) { | |
425 | chi2cut[j] = chi2cut[1] * TMath::Sqrt(j*1.); | |
426 | } | |
427 | ||
428 | Double_t chi2singlecut = chi2cut[ntracksinsetmy-1]/ntracksinsetmy + TMath::Abs(chisquarebest-chi2cut[ntracksinsetmy-1])/ntracksinsetmy; | |
429 | ||
430 | printf("tracks removed with a chi2 > %f (chi2total = %f w.r.t. the limit of %f)\n",chi2singlecut,chisquarebest,chi2cut[ntracksinsetmy-1]); | |
431 | ||
432 | Bool_t kRedoT0 = kFALSE; | |
433 | ntracksinsetmyCut = ntracksinsetmy; | |
434 | Bool_t usetrack[nmaxtracksinset]; | |
435 | for (Int_t icsq=0; icsq<ntracksinsetmy;icsq++) { | |
436 | usetrack[icsq] = kTRUE; | |
437 | if((bestchisquare[icsq] > chisquarebest*0.5 && ntracksinsetmy > 2) || (bestchisquare[icsq] > chi2singlecut)){ | |
438 | kRedoT0 = kTRUE; | |
439 | ntracksinsetmyCut--; | |
440 | usetrack[icsq] = kFALSE; | |
441 | } | |
442 | } // end loop for (Int_t icsq=0; icsq<15;icsq++) | |
443 | ||
444 | printf("ntrackinsetmy = %i - %i\n",ntracksinsetmy,ntracksinsetmyCut); | |
445 | ||
446 | // Loop on mass hypotheses Redo | |
447 | if(kRedoT0 && ntracksinsetmyCut > 1){ | |
448 | printf("Redo T0\n"); | |
449 | for (Int_t k=0; k < ncombinatorial;k++) { | |
450 | for (Int_t j=0; j<ntracksinsetmy; j++) { | |
451 | imass[j] = (k % Int_t(TMath::Power(3,ntracksinsetmy-j))) / Int_t(TMath::Power(3,ntracksinsetmy-j-1)); | |
452 | texp[j]=exptof[j][imass[j]]; | |
453 | dtexp[j]=GetMomError(imass[j], momentum[j], texp[j]); | |
454 | } | |
455 | ||
456 | Float_t sumAllweights=0.; | |
457 | Float_t meantzero=0.; | |
458 | Float_t Emeantzero=0.; | |
459 | ||
460 | for (Int_t itz=0; itz<ntracksinsetmy;itz++) { | |
461 | if(! usetrack[itz]) continue; | |
462 | sqTrackError[itz]= | |
463 | (timeresolutioninns* | |
464 | timeresolutioninns | |
465 | +dtexp[itz]*dtexp[itz]*1E-6); //in ns2 | |
466 | ||
467 | timezero[itz]=texp[itz]-timeofflight[itz];// in ns | |
468 | ||
469 | weightedtimezero[itz]=timezero[itz]/sqTrackError[itz]; | |
470 | sumAllweights+=1./sqTrackError[itz]; | |
471 | meantzero+=weightedtimezero[itz]; | |
472 | ||
473 | } // end loop for (Int_t itz=0; itz<15;itz++) | |
474 | ||
475 | meantzero=meantzero/sumAllweights; // it is given in [ns] | |
476 | Emeantzero=sqrt(1./sumAllweights); // it is given in [ns] | |
477 | ||
478 | // calculate chisquare | |
479 | ||
480 | Float_t chisquare=0.; | |
481 | for (Int_t icsq=0; icsq<ntracksinsetmy;icsq++) { | |
482 | if(! usetrack[icsq]) continue; | |
483 | chisquare+=(timezero[icsq]-meantzero)*(timezero[icsq]-meantzero)/sqTrackError[icsq]; | |
484 | ||
485 | } // end loop for (Int_t icsq=0; icsq<15;icsq++) | |
486 | ||
487 | Int_t npion=0; | |
488 | for (Int_t j=0; j<ntracksinsetmy; j++) { | |
489 | assparticle[j]=imass[j]; | |
490 | if(imass[j] == 0) npion++; | |
491 | } | |
492 | ||
493 | if(chisquare<=chisquarebest){ | |
494 | for(Int_t iqsq = 0; iqsq<ntracksinsetmy; iqsq++) { | |
495 | if(! usetrack[iqsq]) continue; | |
496 | bestsqTrackError[iqsq]=sqTrackError[iqsq]; | |
497 | besttimezero[iqsq]=timezero[iqsq]; | |
498 | bestmomentum[iqsq]=momentum[iqsq]; | |
499 | besttimeofflight[iqsq]=timeofflight[iqsq]; | |
500 | besttexp[iqsq]=texp[iqsq]; | |
501 | bestweightedtimezero[iqsq]=weightedtimezero[iqsq]; | |
502 | bestchisquare[iqsq]=(timezero[iqsq]-meantzero)*(timezero[iqsq]-meantzero)/sqTrackError[iqsq]; | |
503 | } | |
504 | ||
505 | npionbest=npion; | |
506 | chisquarebest=chisquare; | |
507 | t0best=meantzero; | |
508 | Et0best=Emeantzero; | |
509 | } // close if(dummychisquare<=chisquare) | |
510 | ||
511 | } | |
512 | } | |
513 | ||
514 | if(chisquarebest >= 999){ | |
515 | printf("How is it possible (chi2 = %f)? T0best = %f\n",chisquarebest,t0best); | |
516 | ||
517 | for(Int_t icsq=0; icsq<ntracksinsetmy;icsq++){ | |
518 | cout << "Track # " << icsq << " T0 offsets = " | |
519 | << besttimezero[icsq]-t0best << | |
520 | " track error = " << bestsqTrackError[icsq] | |
521 | << " Chisquare = " << bestchisquare[icsq] | |
522 | << " Momentum = " << bestmomentum[icsq] | |
523 | << " TOF = " << besttimeofflight[icsq] | |
524 | << " TOF tracking = " << besttexp[icsq] | |
525 | << " is used = " << usetrack[icsq] << endl; | |
526 | } | |
527 | } | |
528 | ||
529 | // filling histos | |
530 | Float_t confLevel=999; | |
531 | ||
532 | // Sets with decent chisquares | |
533 | ||
534 | if(chisquarebest<999.){ | |
535 | Double_t dblechisquare=(Double_t)chisquarebest; | |
536 | confLevel=(Float_t)TMath::Prob(dblechisquare,ntracksinsetmyCut-1); | |
537 | cout << " Set Number " << nsets << endl; | |
538 | cout << "Best Assignment, selection " << assparticle[0] << | |
539 | assparticle[1] << assparticle[2] << | |
540 | assparticle[3] << assparticle[4] << | |
541 | assparticle[5] << endl; | |
542 | cout << " Chisquare of the set "<< chisquarebest <<endl; | |
543 | cout << " C.L. of the set "<< confLevel <<endl; | |
544 | cout << " T0 for this set (in ns) " << t0best << endl; | |
545 | ||
546 | for(Int_t icsq=0; icsq<ntracksinsetmy;icsq++){ | |
547 | ||
548 | if(! usetrack[icsq]) continue; | |
549 | ||
550 | cout << "Track # " << icsq << " T0 offsets = " | |
551 | << besttimezero[icsq]-t0best << | |
552 | " track error = " << bestsqTrackError[icsq] | |
553 | << " Chisquare = " << bestchisquare[icsq] | |
554 | << " Momentum = " << bestmomentum[icsq] | |
555 | << " TOF = " << besttimeofflight[icsq] | |
556 | << " TOF tracking = " << besttexp[icsq] | |
557 | << " is used = " << usetrack[icsq] << endl; | |
558 | } | |
559 | ||
560 | // Pick up only those with C.L. >1% | |
561 | // if(confLevel>0.01 && ngoodsetsSel<200){ | |
562 | if(confLevel>0.01 && ngoodsetsSel<200){ | |
563 | ChisquarebestSel[ngoodsetsSel]=chisquarebest; | |
564 | ConfLevelbestSel[ngoodsetsSel]=confLevel; | |
565 | t0bestSel[ngoodsetsSel]=t0best/Et0best/Et0best; | |
566 | Et0bestSel[ngoodsetsSel]=1./Et0best/Et0best; | |
567 | t0bestallSel += t0best/Et0best/Et0best; | |
568 | sumWt0bestallSel += 1./Et0best/Et0best; | |
569 | ngoodsetsSel++; | |
570 | ngoodtrktrulyused+=ntracksinsetmyCut; | |
571 | } | |
572 | else{ | |
573 | printf("conflevel = %f -- ngoodsetsSel = %i -- ntrackset = %i\n",confLevel,ngoodsetsSel,ntracksinsetmy); | |
574 | } | |
575 | } | |
576 | delete[] tracksT0; | |
577 | nsets++; | |
578 | ||
579 | } // end for the current set | |
580 | ||
581 | NusedTracks = ngoodtrkt0; | |
582 | if(strstr(option,"all")){ | |
583 | if(sumAllweightspi>0.){ | |
584 | meantzeropi=meantzeropi/sumAllweightspi; // it is given in [ns] | |
585 | Emeantzeropi=sqrt(1./sumAllweightspi); // it is given in [ns] | |
586 | } | |
587 | ||
588 | if(sumWt0bestallSel>0){ | |
589 | t0bestallSel = t0bestallSel/sumWt0bestallSel; | |
590 | Et0bestallSel = sqrt(1./sumWt0bestallSel); | |
591 | ||
592 | }// end of if(sumWt0bestallSel>0){ | |
593 | ||
594 | cout << "T0 all " << t0bestallSel << " +/- " << Et0bestallSel << "Number of tracks used: "<<ngoodtrktrulyused<<endl; | |
595 | } | |
596 | ||
597 | t0def=t0bestallSel; | |
598 | deltat0def=Et0bestallSel; | |
599 | if ((t0bestallSel==0)&&(Et0bestallSel==0)){ | |
600 | t0def=-999; deltat0def=0.600; | |
601 | } | |
602 | ||
603 | fT0SigmaT0def[0]=t0def; | |
604 | fT0SigmaT0def[1]=TMath::Sqrt(deltat0def*deltat0def*(ngoodtrktrulyused/(ngoodtrktrulyused-1))); | |
605 | fT0SigmaT0def[2]=ngoodtrkt0;//ngoodtrktrulyused; | |
606 | fT0SigmaT0def[3]=ngoodtrktrulyused; | |
607 | } | |
608 | } | |
609 | ||
610 | if(strstr(option,"tim") || strstr(option,"all")){ | |
611 | gBenchmark->Stop("TOFT0v1"); | |
612 | cout << "AliTOFT0v1:" << endl ; | |
613 | cout << " took " << gBenchmark->GetCpuTime("TOFT0v1") << " seconds in order to calculate T0 " << endl ; | |
614 | } | |
615 | printf("T0 from TOF = %f ns\n",fT0SigmaT0def[0]); | |
616 | ||
617 | return fT0SigmaT0def; | |
618 | } | |
619 | //__________________________________________________________________ | |
620 | Double_t * AliTOFT0v1::DefineT0RawCorrection(Option_t *option) | |
621 | { | |
622 | Float_t timeresolutioninns=fTimeResolution*(1.e+9); // convert in [ns] | |
623 | ||
624 | const Int_t nmaxtracksinset=10; | |
625 | if(strstr(option,"all")){ | |
626 | cout << "Selecting primary tracks with momentum between " << fLowerMomBound << " GeV/c and " << fUpperMomBound << " GeV/c" << endl; | |
627 | cout << "Memorandum: 0 means PION | 1 means KAON | 2 means PROTON" << endl; | |
628 | } | |
629 | ||
630 | Float_t stripmean = 0; | |
631 | ||
632 | Int_t nsets=0; | |
633 | Int_t NusedTracks=0; | |
634 | Int_t ngoodsetsSel= 0; | |
635 | Float_t t0bestSel[300]; | |
636 | Float_t Et0bestSel[300]; | |
637 | Float_t ChisquarebestSel[300]; | |
638 | Float_t ConfLevelbestSel[300]; | |
639 | Float_t t0bestallSel=0.; | |
640 | Float_t Et0bestallSel=0.; | |
641 | Float_t sumWt0bestallSel=0.; | |
642 | Float_t Emeantzeropi=0.; | |
643 | Float_t meantzeropi=0.; | |
644 | Float_t sumAllweightspi=0.; | |
645 | Double_t t0def=-999; | |
646 | Double_t deltat0def=999; | |
647 | Int_t ngoodtrktrulyused=0; | |
648 | Int_t ntracksinsetmyCut = 0; | |
649 | ||
650 | Int_t ntrk=fEvent->GetNumberOfTracks(); | |
651 | ||
652 | AliESDtrack **tracks=new AliESDtrack*[ntrk]; | |
653 | Int_t ngoodtrk=0; | |
654 | Int_t ngoodtrkt0 =0; | |
655 | Float_t mintime =1E6; | |
656 | ||
657 | // First Track loop, Selection of good tracks | |
658 | ||
659 | for (Int_t itrk=0; itrk<ntrk; itrk++) { | |
660 | AliESDtrack *t=fEvent->GetTrack(itrk); | |
661 | Double_t momOld=t->GetP(); | |
662 | Double_t mom=momOld-0.0036*momOld; | |
663 | if ((t->GetStatus()&AliESDtrack::kTIME)==0) continue; | |
664 | Double_t tot = t->GetTOFsignalToT(); | |
665 | Double_t time=t->GetTOFsignalRaw(); | |
666 | Int_t chan = t->GetTOFCalChannel(); | |
667 | Double_t corr = fCalib->GetFullCorrection(chan,tot) - fCalib->GetCorrection(AliTOFcalibHisto::kTimeSlewingCorr,chan,0); | |
668 | time -= corr*1000.; | |
669 | ||
670 | Int_t crate = fCalib->GetCalibMap(AliTOFcalibHisto::kDDL,chan); | |
671 | if(crate == 63 || crate == 62){ | |
672 | time += 9200; | |
673 | } | |
674 | ||
675 | Int_t strip = fCalib->GetCalibMap(AliTOFcalibHisto::kSectorStrip,chan); | |
676 | ||
677 | time*=1.E-3; // tof given in nanoseconds | |
678 | if (!(mom<=fUpperMomBound && mom>=fLowerMomBound))continue; | |
679 | ||
680 | AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts(); | |
681 | Bool_t tpcRefit = kTRUE; | |
682 | Double_t nSigma = 4; | |
683 | Bool_t sigmaToVertex = kTRUE; | |
684 | esdTrackCuts->SetRequireSigmaToVertex(sigmaToVertex); | |
685 | if (sigmaToVertex) { | |
686 | esdTrackCuts->SetMaxNsigmaToVertex(nSigma); | |
687 | } | |
688 | else{ | |
689 | esdTrackCuts->SetMaxDCAToVertexZ(3.0); | |
690 | esdTrackCuts->SetMaxDCAToVertexXY(3.0); | |
691 | } | |
692 | esdTrackCuts->SetRequireTPCRefit(tpcRefit); | |
693 | esdTrackCuts->SetAcceptKinkDaughters(kFALSE); | |
694 | esdTrackCuts->SetMinNClustersTPC(50); | |
695 | esdTrackCuts->SetMaxChi2PerClusterTPC(3.5); | |
696 | Bool_t accepted; | |
697 | accepted=esdTrackCuts->AcceptTrack(t); | |
698 | if(!accepted) continue; | |
699 | ||
700 | if(t->GetP() < fLowerMomBound || t->GetIntegratedLength() < 350 || t->GetTOFsignalToT() < 0.000000001)continue; //skip decays | |
701 | if(time <= mintime) mintime=time; | |
702 | tracks[ngoodtrk]=t; | |
703 | ngoodtrk++; | |
704 | stripmean += strip; | |
705 | } | |
706 | if(ngoodtrk) stripmean /= ngoodtrk; | |
707 | ||
708 | cout << " T0 offset selected for this sample : " << fT0Offset << endl; | |
709 | cout << " N. of ESD tracks : " << ntrk << endl; | |
710 | cout << " N. of preselected tracks : " << ngoodtrk << endl; | |
711 | cout << " Minimum tof time in set (in ns) : " << mintime << endl; | |
712 | ||
713 | AliESDtrack **gtracks=new AliESDtrack*[ngoodtrk]; | |
714 | ||
715 | for (Int_t jtrk=0; jtrk< ngoodtrk; jtrk++) { | |
716 | AliESDtrack *t=tracks[jtrk]; | |
717 | Double_t tot = t->GetTOFsignalToT(); | |
718 | Double_t time=t->GetTOFsignalRaw(); | |
719 | Int_t chan = t->GetTOFCalChannel(); | |
720 | Double_t corr = fCalib->GetFullCorrection(chan,tot) - fCalib->GetCorrection(AliTOFcalibHisto::kTimeSlewingCorr,chan,0); | |
721 | time -= corr*1000.; | |
722 | ||
723 | Int_t create = fCalib->GetCalibMap(AliTOFcalibHisto::kDDL,chan); | |
724 | if(create == 63 || create == 62){ | |
725 | time += 9200; | |
726 | } | |
727 | ||
728 | if((time-mintime*1.E3)<50.E3){ // For pp and per | |
729 | gtracks[ngoodtrkt0]=t; | |
730 | ngoodtrkt0++; | |
731 | } | |
732 | } | |
733 | ||
734 | Int_t nseteq = (ngoodtrkt0-1)/nmaxtracksinset + 1; | |
735 | Int_t nmaxtracksinsetCurrent=ngoodtrkt0/nseteq; | |
736 | if(nmaxtracksinsetCurrent*nseteq < ngoodtrkt0) nmaxtracksinsetCurrent++; | |
737 | ||
738 | if(ngoodtrkt0 > 1){ | |
739 | Int_t nlastset = (ngoodtrkt0 % nmaxtracksinsetCurrent); | |
740 | ||
741 | while(nlastset-nseteq+1 > 2 ){ | |
742 | nmaxtracksinsetCurrent++; | |
743 | nlastset -= nseteq-1; | |
744 | } | |
745 | if(nmaxtracksinsetCurrent > nmaxtracksinset) nmaxtracksinsetCurrent = nmaxtracksinset; | |
746 | } | |
747 | ||
748 | if(ngoodtrkt0<2){ | |
749 | cout << "less than 2 tracks, skip event " << endl; | |
750 | t0def=-999; | |
751 | deltat0def=0.600; | |
752 | fT0SigmaT0def[0]=t0def; | |
753 | fT0SigmaT0def[1]=deltat0def; | |
754 | fT0SigmaT0def[2]=ngoodtrkt0; | |
755 | fT0SigmaT0def[3]=ngoodtrkt0; | |
756 | //goto finish; | |
757 | } | |
758 | if(ngoodtrkt0>=2){ | |
759 | // Decide how many tracks in set | |
760 | Int_t ntracksinset = min(ngoodtrkt0,nmaxtracksinsetCurrent); | |
761 | Int_t nset=1; | |
762 | if(ngoodtrkt0>nmaxtracksinset) {nset= (Int_t)(ngoodtrkt0/ntracksinset)+1;} | |
763 | ||
764 | cout << " number of sets = " << nset << endl; | |
765 | ||
766 | if(strstr(option,"tim") || strstr(option,"all"))gBenchmark->Start("TOFT0v1"); | |
767 | ||
768 | // Loop over selected sets | |
769 | ||
770 | if(nset>=1){ | |
771 | for (Int_t i=0; i< nset; i++) { | |
772 | ||
773 | Float_t t0best=999.; | |
774 | Float_t Et0best=999.; | |
775 | Float_t chisquarebest=99999.; | |
776 | Int_t npionbest=0; | |
777 | ||
778 | Int_t ntracksinsetmy=0; | |
779 | AliESDtrack **tracksT0=new AliESDtrack*[ntracksinset]; | |
780 | for (Int_t itrk=0; itrk<ntracksinset; itrk++) { | |
781 | Int_t index = itrk+i*ntracksinset; | |
782 | if(index < ngoodtrkt0){ | |
783 | AliESDtrack *t=gtracks[index]; | |
784 | tracksT0[itrk]=t; | |
785 | ntracksinsetmy++; | |
786 | } | |
787 | } | |
788 | ||
789 | // Analyse it | |
790 | ||
791 | Int_t assparticle[nmaxtracksinset]; | |
792 | Float_t exptof[nmaxtracksinset][3]; | |
793 | Float_t timeofflight[nmaxtracksinset]; | |
794 | Float_t momentum[nmaxtracksinset]; | |
795 | Float_t timezero[nmaxtracksinset]; | |
796 | Float_t weightedtimezero[nmaxtracksinset]; | |
797 | Float_t beta[nmaxtracksinset]; | |
798 | Float_t texp[nmaxtracksinset]; | |
799 | Float_t dtexp[nmaxtracksinset]; | |
800 | Float_t sqMomError[nmaxtracksinset]; | |
801 | Float_t sqTrackError[nmaxtracksinset]; | |
802 | Float_t massarray[3]={0.13957,0.493677,0.9382723}; | |
803 | Float_t tracktoflen[nmaxtracksinset]; | |
804 | Float_t besttimezero[nmaxtracksinset]; | |
805 | Float_t besttexp[nmaxtracksinset]; | |
806 | Float_t besttimeofflight[nmaxtracksinset]; | |
807 | Float_t bestmomentum[nmaxtracksinset]; | |
808 | Float_t bestchisquare[nmaxtracksinset]; | |
809 | Float_t bestweightedtimezero[nmaxtracksinset]; | |
810 | Float_t bestsqTrackError[nmaxtracksinset]; | |
811 | Int_t imass[nmaxtracksinset]; | |
812 | ||
813 | for (Int_t j=0; j<ntracksinset; j++) { | |
814 | assparticle[j] = 3; | |
815 | timeofflight[j] = 0; | |
816 | momentum[j] = 0; | |
817 | timezero[j] = 0; | |
818 | weightedtimezero[j] = 0; | |
819 | beta[j] = 0; | |
820 | texp[j] = 0; | |
821 | dtexp[j] = 0; | |
822 | sqMomError[j] = 0; | |
823 | sqTrackError[j] = 0; | |
824 | tracktoflen[j] = 0; | |
825 | besttimezero[j] = 0; | |
826 | besttexp[j] = 0; | |
827 | besttimeofflight[j] = 0; | |
828 | bestmomentum[j] = 0; | |
829 | bestchisquare[j] = 0; | |
830 | bestweightedtimezero[j] = 0; | |
831 | bestsqTrackError[j] = 0; | |
832 | imass[j] = 1; | |
833 | } | |
834 | ||
835 | for (Int_t j=0; j<ntracksinsetmy; j++) { | |
836 | AliESDtrack *t=tracksT0[j]; | |
837 | Double_t momOld=t->GetP(); | |
838 | Double_t mom=momOld-0.0036*momOld; | |
839 | Double_t tot = t->GetTOFsignalToT(); | |
840 | Double_t time=t->GetTOFsignalRaw(); | |
841 | Int_t chan = t->GetTOFCalChannel(); | |
842 | Double_t corr = fCalib->GetFullCorrection(chan,tot) - fCalib->GetCorrection(AliTOFcalibHisto::kTimeSlewingCorr,chan,0); | |
843 | time -= corr*1000.; | |
844 | ||
845 | Int_t create = fCalib->GetCalibMap(AliTOFcalibHisto::kDDL,chan); | |
846 | if(create == 63 || create == 62){ | |
847 | time += 9200; | |
848 | } | |
849 | ||
850 | time*=1.E-3; // tof given in nanoseconds | |
851 | Double_t exptime[10]; t->GetIntegratedTimes(exptime); | |
852 | Double_t toflen=t->GetIntegratedLength(); | |
853 | toflen=toflen/100.; // toflen given in m | |
854 | ||
855 | timeofflight[j]=time+fT0Offset; | |
856 | tracktoflen[j]=toflen+fLOffset; | |
857 | exptof[j][0]=exptime[2]*1.E-3+fTimeCorr;// in ns | |
858 | exptof[j][1]=exptime[3]*1.E-3+fTimeCorr; | |
859 | exptof[j][2]=exptime[4]*1.E-3+fTimeCorr; | |
860 | momentum[j]=mom; | |
861 | assparticle[j]=3; | |
862 | ||
863 | } //end for (Int_t j=0; j<ntracksinsetmy; j++) { | |
864 | ||
865 | cout << "starting t0 calculation for current set" << endl; | |
866 | for (Int_t itz=0; itz<ntracksinsetmy;itz++) { | |
867 | beta[itz]=momentum[itz]/sqrt(massarray[0]*massarray[0] | |
868 | +momentum[itz]*momentum[itz]); | |
869 | sqMomError[itz]= ((1.-beta[itz]*beta[itz])*0.01)*((1.-beta[itz]*beta[itz])*0.01)*(tracktoflen[itz]/(0.299792*beta[itz]))*(tracktoflen[itz]/(0.299792*beta[itz])); | |
870 | sqTrackError[itz]=(timeresolutioninns*timeresolutioninns+sqMomError[itz]); //in ns | |
871 | timezero[itz]=exptof[itz][0]-timeofflight[itz];// in ns | |
872 | weightedtimezero[itz]=timezero[itz]/sqTrackError[itz]; | |
873 | sumAllweightspi+=1./sqTrackError[itz]; | |
874 | meantzeropi+=weightedtimezero[itz]; | |
875 | } // end loop for (Int_t itz=0; itz< ntracksinset;itz++) | |
876 | ||
877 | ||
878 | // Then, Combinatorial Algorithm | |
879 | ||
880 | if(ntracksinsetmy<2 )break; | |
881 | ||
882 | for (Int_t j=0; j<ntracksinsetmy; j++) { | |
883 | imass[j] = 3; | |
884 | } | |
885 | ||
886 | Int_t ncombinatorial = Int_t(TMath::Power(3,ntracksinsetmy)); | |
887 | ||
888 | // Loop on mass hypotheses | |
889 | for (Int_t k=0; k < ncombinatorial;k++) { | |
890 | for (Int_t j=0; j<ntracksinsetmy; j++) { | |
891 | imass[j] = (k % Int_t(TMath::Power(3,ntracksinsetmy-j)))/Int_t(TMath::Power(3,ntracksinsetmy-j-1)); | |
892 | texp[j]=exptof[j][imass[j]]; | |
893 | dtexp[j]=GetMomError(imass[j], momentum[j], texp[j]); | |
894 | } | |
895 | Float_t sumAllweights=0.; | |
896 | Float_t meantzero=0.; | |
897 | Float_t Emeantzero=0.; | |
898 | Double_t sumAllSquare=0.; | |
899 | ||
900 | for (Int_t itz=0; itz<ntracksinsetmy;itz++) { | |
901 | sqTrackError[itz]= | |
902 | (timeresolutioninns* | |
903 | timeresolutioninns | |
904 | +dtexp[itz]*dtexp[itz]*1E-6); //in ns2 | |
905 | ||
906 | // printf("pt=%f -- TOF res=%f -- track res=%f -- all res=%f\n",momentum[itz],timeresolutioninns,dtexp[itz],TMath::Sqrt(sqTrackError[itz])); | |
907 | // getchar(); | |
908 | timezero[itz]=texp[itz]-timeofflight[itz];// in ns | |
909 | ||
910 | weightedtimezero[itz]=timezero[itz]/sqTrackError[itz]; | |
911 | sumAllSquare += timezero[itz]*timezero[itz]; | |
912 | sumAllweights+=1./sqTrackError[itz]; | |
913 | meantzero+=weightedtimezero[itz]; | |
914 | ||
915 | } // end loop for (Int_t itz=0; itz<15;itz++) | |
916 | ||
917 | meantzero=meantzero/sumAllweights; // it is given in [ns] | |
918 | Emeantzero=sqrt(1./sumAllweights); // it is given in [ns] | |
919 | ||
920 | //changed | |
921 | for (Int_t itz=0; itz<ntracksinsetmy;itz++) { | |
922 | sumAllSquare+= (timezero[itz] - meantzero)*(timezero[itz] - meantzero); | |
923 | } | |
924 | // Emeantzero = TMath::Sqrt(sumAllSquare/ntracksinsetmy); | |
925 | ||
926 | // calculate chisquare | |
927 | ||
928 | Float_t chisquare=0.; | |
929 | for (Int_t icsq=0; icsq<ntracksinsetmy;icsq++) { | |
930 | chisquare+=(timezero[icsq]-meantzero)*(timezero[icsq]-meantzero)/sqTrackError[icsq]; | |
931 | ||
932 | } // end loop for (Int_t icsq=0; icsq<15;icsq++) | |
933 | ||
934 | if(chisquare<=chisquarebest){ | |
935 | for(Int_t iqsq = 0; iqsq<ntracksinsetmy; iqsq++) { | |
936 | ||
937 | bestsqTrackError[iqsq]=sqTrackError[iqsq]; | |
938 | besttimezero[iqsq]=timezero[iqsq]; | |
939 | bestmomentum[iqsq]=momentum[iqsq]; | |
940 | besttimeofflight[iqsq]=timeofflight[iqsq]; | |
941 | besttexp[iqsq]=texp[iqsq]; | |
942 | bestweightedtimezero[iqsq]=weightedtimezero[iqsq]; | |
943 | bestchisquare[iqsq]=(timezero[iqsq]-meantzero)*(timezero[iqsq]-meantzero)/sqTrackError[iqsq]; | |
944 | } | |
945 | ||
946 | Int_t npion=0; | |
947 | for (Int_t j=0; j<ntracksinsetmy; j++) { | |
948 | assparticle[j]=imass[j]; | |
949 | if(imass[j] == 0) npion++; | |
950 | } | |
951 | npionbest=npion; | |
952 | chisquarebest=chisquare; | |
953 | t0best=meantzero; | |
954 | Et0best=Emeantzero; | |
955 | } // close if(dummychisquare<=chisquare) | |
956 | ||
957 | } | |
958 | ||
959 | Double_t chi2cut[nmaxtracksinset]; | |
960 | chi2cut[0] = 0; | |
961 | chi2cut[1] = 6.6; // corresponding to a C.L. of 0.01 | |
962 | for (Int_t j=2; j<ntracksinset; j++) { | |
963 | chi2cut[j] = chi2cut[1] * TMath::Sqrt(j*1.); | |
964 | } | |
965 | ||
966 | Double_t chi2singlecut = chi2cut[ntracksinsetmy-1]/ntracksinsetmy + TMath::Abs(chisquarebest-chi2cut[ntracksinsetmy-1])/ntracksinsetmy; | |
967 | ||
968 | printf("tracks removed with a chi2 > %f (chi2total = %f w.r.t. the limit of %f)\n",chi2singlecut,chisquarebest,chi2cut[ntracksinsetmy-1]); | |
969 | ||
970 | Bool_t kRedoT0 = kFALSE; | |
971 | ntracksinsetmyCut = ntracksinsetmy; | |
972 | Bool_t usetrack[nmaxtracksinset]; | |
973 | for (Int_t icsq=0; icsq<ntracksinsetmy;icsq++) { | |
974 | usetrack[icsq] = kTRUE; | |
975 | if((bestchisquare[icsq] > chisquarebest*0.5 && ntracksinsetmy > 2) || (bestchisquare[icsq] > chi2singlecut)){ | |
976 | kRedoT0 = kTRUE; | |
977 | ntracksinsetmyCut--; | |
978 | usetrack[icsq] = kFALSE; | |
979 | } | |
980 | } // end loop for (Int_t icsq=0; icsq<15;icsq++) | |
981 | ||
982 | printf("ntrackinsetmy = %i - %i\n",ntracksinsetmy,ntracksinsetmyCut); | |
983 | ||
984 | // Loop on mass hypotheses Redo | |
985 | if(kRedoT0 && ntracksinsetmyCut > 1){ | |
986 | printf("Redo T0\n"); | |
987 | for (Int_t k=0; k < ncombinatorial;k++) { | |
988 | for (Int_t j=0; j<ntracksinsetmy; j++) { | |
989 | imass[j] = (k % Int_t(TMath::Power(3,ntracksinsetmy-j))) / Int_t(TMath::Power(3,ntracksinsetmy-j-1)); | |
990 | texp[j]=exptof[j][imass[j]]; | |
991 | dtexp[j]=GetMomError(imass[j], momentum[j], texp[j]); | |
992 | } | |
993 | ||
994 | Float_t sumAllweights=0.; | |
995 | Float_t meantzero=0.; | |
996 | Float_t Emeantzero=0.; | |
997 | Double_t sumAllSquare=0; | |
998 | ||
999 | for (Int_t itz=0; itz<ntracksinsetmy;itz++) { | |
1000 | if(! usetrack[itz]) continue; | |
1001 | sqTrackError[itz]= | |
1002 | (timeresolutioninns* | |
1003 | timeresolutioninns | |
1004 | +dtexp[itz]*dtexp[itz]*1E-6); //in ns2 | |
1005 | ||
1006 | timezero[itz]=texp[itz]-timeofflight[itz];// in ns | |
1007 | ||
1008 | weightedtimezero[itz]=timezero[itz]/sqTrackError[itz]; | |
1009 | sumAllweights+=1./sqTrackError[itz]; | |
1010 | meantzero+=weightedtimezero[itz]; | |
1011 | } // end loop for (Int_t itz=0; itz<15;itz++) | |
1012 | ||
1013 | meantzero=meantzero/sumAllweights; // it is given in [ns] | |
1014 | Emeantzero=sqrt(1./sumAllweights); // it is given in [ns] | |
1015 | ||
1016 | //changed | |
1017 | for (Int_t itz=0; itz<ntracksinsetmy;itz++) { | |
1018 | if(! usetrack[itz]) continue; | |
1019 | sumAllSquare+= (timezero[itz] - meantzero)*(timezero[itz] - meantzero); | |
1020 | } | |
1021 | // Emeantzero = TMath::Sqrt(sumAllSquare/ntracksinsetmyCut); | |
1022 | ||
1023 | // calculate chisquare | |
1024 | ||
1025 | Float_t chisquare=0.; | |
1026 | for (Int_t icsq=0; icsq<ntracksinsetmy;icsq++) { | |
1027 | if(! usetrack[icsq]) continue; | |
1028 | chisquare+=(timezero[icsq]-meantzero)*(timezero[icsq]-meantzero)/sqTrackError[icsq]; | |
1029 | ||
1030 | } // end loop for (Int_t icsq=0; icsq<15;icsq++) | |
1031 | ||
1032 | Int_t npion=0; | |
1033 | for (Int_t j=0; j<ntracksinsetmy; j++) { | |
1034 | assparticle[j]=imass[j]; | |
1035 | if(imass[j] == 0) npion++; | |
1036 | } | |
1037 | ||
1038 | if(chisquare<=chisquarebest){ | |
1039 | for(Int_t iqsq = 0; iqsq<ntracksinsetmy; iqsq++) { | |
1040 | if(! usetrack[iqsq]) continue; | |
1041 | bestsqTrackError[iqsq]=sqTrackError[iqsq]; | |
1042 | besttimezero[iqsq]=timezero[iqsq]; | |
1043 | bestmomentum[iqsq]=momentum[iqsq]; | |
1044 | besttimeofflight[iqsq]=timeofflight[iqsq]; | |
1045 | besttexp[iqsq]=texp[iqsq]; | |
1046 | bestweightedtimezero[iqsq]=weightedtimezero[iqsq]; | |
1047 | bestchisquare[iqsq]=(timezero[iqsq]-meantzero)*(timezero[iqsq]-meantzero)/sqTrackError[iqsq]; | |
1048 | } | |
1049 | ||
1050 | npionbest=npion; | |
1051 | chisquarebest=chisquare; | |
1052 | t0best=meantzero; | |
1053 | Et0best=Emeantzero; | |
1054 | } // close if(dummychisquare<=chisquare) | |
1055 | ||
1056 | } | |
1057 | } | |
1058 | ||
1059 | if(chisquarebest >= 999){ | |
1060 | printf("How is it possible (chi2 = %f)? T0best = %f\n",chisquarebest,t0best); | |
1061 | ||
1062 | for(Int_t icsq=0; icsq<ntracksinsetmy;icsq++){ | |
1063 | cout << "Track # " << icsq << " T0 offsets = " | |
1064 | << besttimezero[icsq]-t0best << | |
1065 | " track error = " << bestsqTrackError[icsq] | |
1066 | << " Chisquare = " << bestchisquare[icsq] | |
1067 | << " Momentum = " << bestmomentum[icsq] | |
1068 | << " TOF = " << besttimeofflight[icsq] | |
1069 | << " TOF tracking = " << besttexp[icsq] | |
1070 | << " is used = " << usetrack[icsq] << endl; | |
1071 | } | |
1072 | } | |
1073 | ||
1074 | // filling histos | |
1075 | Float_t confLevel=999; | |
1076 | ||
1077 | // Sets with decent chisquares | |
1078 | ||
1079 | if(chisquarebest<999.){ | |
1080 | Double_t dblechisquare=(Double_t)chisquarebest; | |
1081 | confLevel=(Float_t)TMath::Prob(dblechisquare,ntracksinsetmyCut-1); | |
1082 | cout << " Set Number " << nsets << endl; | |
1083 | cout << "Best Assignment, selection " << assparticle[0] << | |
1084 | assparticle[1] << assparticle[2] << | |
1085 | assparticle[3] << assparticle[4] << | |
1086 | assparticle[5] << endl; | |
1087 | cout << " Chisquare of the set "<< chisquarebest <<endl; | |
1088 | cout << " C.L. of the set "<< confLevel <<endl; | |
1089 | cout << " T0 for this set (in ns) " << t0best << endl; | |
1090 | for(Int_t icsq=0; icsq<ntracksinsetmy;icsq++){ | |
1091 | ||
1092 | if(! usetrack[icsq]) continue; | |
1093 | ||
1094 | cout << "Track # " << icsq << " T0 offsets = " | |
1095 | << besttimezero[icsq]-t0best << | |
1096 | " track error = " << bestsqTrackError[icsq] | |
1097 | << " Chisquare = " << bestchisquare[icsq] | |
1098 | << " Momentum = " << bestmomentum[icsq] | |
1099 | << " TOF = " << besttimeofflight[icsq] | |
1100 | << " TOF tracking = " << besttexp[icsq] | |
1101 | << " is used = " << usetrack[icsq] << endl; | |
1102 | } | |
1103 | ||
1104 | // Pick up only those with C.L. >1% | |
1105 | // if(confLevel>0.01 && ngoodsetsSel<200){ | |
1106 | if(confLevel>0.01 && ngoodsetsSel<200){ | |
1107 | ChisquarebestSel[ngoodsetsSel]=chisquarebest; | |
1108 | ConfLevelbestSel[ngoodsetsSel]=confLevel; | |
1109 | t0bestSel[ngoodsetsSel]=t0best/Et0best/Et0best; | |
1110 | Et0bestSel[ngoodsetsSel]=1./Et0best/Et0best; | |
1111 | t0bestallSel += t0best/Et0best/Et0best; | |
1112 | sumWt0bestallSel += 1./Et0best/Et0best; | |
1113 | ||
1114 | ngoodsetsSel++; | |
1115 | ngoodtrktrulyused+=ntracksinsetmyCut; | |
1116 | } | |
1117 | else{ | |
1118 | printf("conflevel = %f -- ngoodsetsSel = %i -- ntrackset = %i\n",confLevel,ngoodsetsSel,ntracksinsetmy); | |
1119 | } | |
1120 | } | |
1121 | delete[] tracksT0; | |
1122 | nsets++; | |
1123 | ||
1124 | } // end for the current set | |
1125 | ||
1126 | NusedTracks = ngoodtrkt0; | |
1127 | if(strstr(option,"all")){ | |
1128 | if(sumAllweightspi>0.){ | |
1129 | meantzeropi=meantzeropi/sumAllweightspi; // it is given in [ns] | |
1130 | Emeantzeropi=sqrt(1./sumAllweightspi); // it is given in [ns] | |
1131 | } | |
1132 | ||
1133 | if(sumWt0bestallSel>0){ | |
1134 | t0bestallSel = t0bestallSel/sumWt0bestallSel; | |
1135 | Et0bestallSel = sqrt(1./sumWt0bestallSel); | |
1136 | }// end of if(sumWt0bestallSel>0){ | |
1137 | ||
1138 | cout << "T0 all " << t0bestallSel << " +/- " << Et0bestallSel << "Number of tracks used: "<<ngoodtrktrulyused<<endl; | |
1139 | } | |
1140 | ||
1141 | t0def=t0bestallSel; | |
1142 | deltat0def=Et0bestallSel; | |
1143 | if ((t0bestallSel==0)&&(Et0bestallSel==0)){ | |
1144 | t0def=-999; deltat0def=0.600; | |
1145 | } | |
1146 | ||
1147 | fT0SigmaT0def[0]=t0def; | |
1148 | fT0SigmaT0def[1]=TMath::Sqrt(deltat0def*deltat0def*(ngoodtrktrulyused/(ngoodtrktrulyused-1))); | |
1149 | fT0SigmaT0def[2]=ngoodtrkt0;//ngoodtrktrulyused; | |
1150 | fT0SigmaT0def[3]=ngoodtrktrulyused; | |
1151 | } | |
1152 | } | |
1153 | ||
1154 | if(strstr(option,"tim") || strstr(option,"all")){ | |
1155 | gBenchmark->Stop("TOFT0v1"); | |
1156 | cout << "AliTOFT0v1:" << endl ; | |
1157 | cout << " took " << gBenchmark->GetCpuTime("TOFT0v1") << " seconds in order to calculate T0 " << endl ; | |
1158 | } | |
1159 | printf("T0 from TOF = %f ns\n",fT0SigmaT0def[0]); | |
1160 | ||
1161 | return fT0SigmaT0def; | |
1162 | } | |
1163 | //__________________________________________________________________ | |
1164 | void AliTOFT0v1::SetTZeroFile(char * file ){ | |
1165 | cout << "Destination file : " << file << endl ; | |
1166 | fT0File=file; | |
1167 | } | |
1168 | //__________________________________________________________________ | |
1169 | void AliTOFT0v1::Print(Option_t* /*option*/)const | |
1170 | { | |
1171 | cout << "------------------- "<< GetName() << " -------------" << endl ; | |
1172 | if(!fT0File.IsNull()) | |
1173 | cout << " Writing T0 Distribution to file " << (char*) fT0File.Data() << endl ; | |
1174 | } | |
1175 | ||
1176 | //__________________________________________________________________ | |
1177 | Bool_t AliTOFT0v1::operator==( AliTOFT0v1 const &tzero )const | |
1178 | { | |
1179 | // Equal operator. | |
1180 | // | |
1181 | if( (fTimeResolution==tzero.fTimeResolution)&&(fLowerMomBound==tzero.fLowerMomBound)&&(fUpperMomBound==tzero.fUpperMomBound)) | |
1182 | return kTRUE ; | |
1183 | else | |
1184 | return kFALSE ; | |
1185 | } | |
1186 | ||
1187 | ||
1188 | //__________________________________________________________________ | |
1189 | Float_t AliTOFT0v1::GetMomError(Int_t index, Float_t mom, Float_t texp) | |
1190 | { | |
1191 | static const Double_t kMasses[]={ | |
1192 | 0.000511, 0.105658, 0.139570, 0.493677, 0.938272, 1.875613 | |
1193 | }; | |
1194 | ||
1195 | Double_t mass=kMasses[index+2]; | |
1196 | Double_t dpp=0.01; //mean relative pt resolution; | |
1197 | Double_t sigma=dpp*texp*1E3/(1.+ mom*mom/(mass*mass)); | |
1198 | ||
1199 | sigma =TMath::Sqrt(sigma*sigma); | |
1200 | ||
1201 | return sigma; | |
1202 | } |