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Adding an option to enable the pedestal subtraction
[u/mrichter/AliRoot.git] / PWG0 / esdTrackCuts / AliESDtrackCuts.cxx
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0b75bef2 1#include "AliESDtrackCuts.h"
2
0b75bef2 3//____________________________________________________________________
f58f1a93 4ClassImp(AliESDtrackCuts)
0b75bef2 5
ebd60d8e 6// Cut names
ab2c1f0d 7const Char_t* AliESDtrackCuts::fgkCutNames[kNCuts] = {
ebd60d8e 8 "require TPC refit",
9 "require ITS refit",
10 "n clusters TPC",
11 "n clusters ITS",
12 "#Chi^{2}/clusters TPC",
13 "#Chi^{2}/clusters ITS",
14 "cov 11",
15 "cov 22",
16 "cov 33",
17 "cov 44",
18 "cov 55",
19 "trk-to-vtx",
20 "trk-to-vtx failed",
21 "kink daughters",
22
23 "p",
24 "p_{T}",
25 "p_{x}",
26 "p_{y}",
27 "p_{z}",
28 "y",
29 "eta"
30};
31
0b75bef2 32//____________________________________________________________________
ebd60d8e 33AliESDtrackCuts::AliESDtrackCuts()
34{
35 //
36 // constructor
37 //
38
39 Init();
0b75bef2 40
41 //##############################################################################
42 // setting default cuts
0b75bef2 43 SetMinNClustersTPC();
ebd60d8e 44 SetMinNClustersITS();
0b75bef2 45 SetMaxChi2PerClusterTPC();
46 SetMaxChi2PerClusterITS();
47 SetMaxCovDiagonalElements();
48 SetRequireTPCRefit();
49 SetRequireITSRefit();
50 SetAcceptKingDaughters();
51 SetMinNsigmaToVertex();
52 SetRequireSigmaToVertex();
53 SetPRange();
54 SetPtRange();
55 SetPxRange();
56 SetPyRange();
57 SetPzRange();
58 SetEtaRange();
59 SetRapRange();
60
61 SetHistogramsOn();
ebd60d8e 62}
63
64//_____________________________________________________________________________
65AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : TObject(c)
66{
67 //
68 // copy constructor
69 //
70
71 ((AliESDtrackCuts &) c).Copy(*this);
72}
73
74AliESDtrackCuts::~AliESDtrackCuts()
75{
76 //
77 // destructor
78 //
79
80 // ## TODO to be implemented
81}
82
83void AliESDtrackCuts::Init()
84{
85 //
86 // sets everything to zero
87 //
88
ab2c1f0d 89 fCutMinNClusterTPC = 0;
90 fCutMinNClusterITS = 0;
ebd60d8e 91
ab2c1f0d 92 fCutMaxChi2PerClusterTPC = 0;
93 fCutMaxChi2PerClusterITS = 0;
ebd60d8e 94
ab2c1f0d 95 fCutMaxC11 = 0;
96 fCutMaxC22 = 0;
97 fCutMaxC33 = 0;
98 fCutMaxC44 = 0;
99 fCutMaxC55 = 0;
ebd60d8e 100
ab2c1f0d 101 fCutAcceptKinkDaughters = 0;
102 fCutRequireTPCRefit = 0;
103 fCutRequireITSRefit = 0;
ebd60d8e 104
ab2c1f0d 105 fCutNsigmaToVertex = 0;
106 fCutSigmaToVertexRequired = 0;
ebd60d8e 107
108 fPMin = 0;
109 fPMax = 0;
110 fPtMin = 0;
111 fPtMax = 0;
112 fPxMin = 0;
113 fPxMax = 0;
114 fPyMin = 0;
115 fPyMax = 0;
116 fPzMin = 0;
117 fPzMax = 0;
118 fEtaMin = 0;
119 fEtaMax = 0;
120 fRapMin = 0;
121 fRapMax = 0;
122
123 fHistogramsOn = kFALSE;
124
125 for (Int_t i=0; i<2; ++i)
126 {
127 fhNClustersITS[i] = 0;
128 fhNClustersTPC[i] = 0;
129
130 fhChi2PerClusterITS[i] = 0;
131 fhChi2PerClusterTPC[i] = 0;
132
133 fhC11[i] = 0;
134 fhC22[i] = 0;
135 fhC33[i] = 0;
136 fhC44[i] = 0;
137 fhC55[i] = 0;
138
139 fhDXY[i] = 0;
140 fhDZ[i] = 0;
141 fhDXYvsDZ[i] = 0;
142
143 fhDXYNormalized[i] = 0;
144 fhDZNormalized[i] = 0;
145 fhDXYvsDZNormalized[i] = 0;
146 }
147
148 fhCutStatistics = 0;
149 fhCutCorrelation = 0;
150}
151
152//_____________________________________________________________________________
153AliESDtrackCuts &AliESDtrackCuts::operator=(const AliESDtrackCuts &c)
154{
155 //
156 // Assignment operator
157 //
0b75bef2 158
ebd60d8e 159 if (this != &c) ((AliESDtrackCuts &) c).Copy(*this);
160 return *this;
161}
162
163//_____________________________________________________________________________
164void AliESDtrackCuts::Copy(TObject &c) const
165{
166 //
167 // Copy function
168 //
169
170 AliESDtrackCuts& target = (AliESDtrackCuts &) c;
171
172 target.Init();
173
ab2c1f0d 174 target.fCutMinNClusterTPC = fCutMinNClusterTPC;
175 target.fCutMinNClusterITS = fCutMinNClusterITS;
ebd60d8e 176
ab2c1f0d 177 target.fCutMaxChi2PerClusterTPC = fCutMaxChi2PerClusterTPC;
178 target.fCutMaxChi2PerClusterITS = fCutMaxChi2PerClusterITS;
ebd60d8e 179
ab2c1f0d 180 target.fCutMaxC11 = fCutMaxC11;
181 target.fCutMaxC22 = fCutMaxC22;
182 target.fCutMaxC33 = fCutMaxC33;
183 target.fCutMaxC44 = fCutMaxC44;
184 target.fCutMaxC55 = fCutMaxC55;
ebd60d8e 185
ab2c1f0d 186 target.fCutAcceptKinkDaughters = fCutAcceptKinkDaughters;
187 target.fCutRequireTPCRefit = fCutRequireTPCRefit;
188 target.fCutRequireITSRefit = fCutRequireITSRefit;
ebd60d8e 189
ab2c1f0d 190 target.fCutNsigmaToVertex = fCutNsigmaToVertex;
191 target.fCutSigmaToVertexRequired = fCutSigmaToVertexRequired;
ebd60d8e 192
193 target.fPMin = fPMin;
194 target.fPMax = fPMax;
195 target.fPtMin = fPtMin;
196 target.fPtMax = fPtMax;
197 target.fPxMin = fPxMin;
198 target.fPxMax = fPxMax;
199 target.fPyMin = fPyMin;
200 target.fPyMax = fPyMax;
201 target.fPzMin = fPzMin;
202 target.fPzMax = fPzMax;
203 target.fEtaMin = fEtaMin;
204 target.fEtaMax = fEtaMax;
205 target.fRapMin = fRapMin;
206 target.fRapMax = fRapMax;
207
208 target.fHistogramsOn = fHistogramsOn;
209
210 for (Int_t i=0; i<2; ++i)
211 {
212 if (fhNClustersITS[i]) target.fhNClustersITS[i] = (TH1F*) fhNClustersITS[i]->Clone();
213 if (fhNClustersTPC[i]) target.fhNClustersTPC[i] = (TH1F*) fhNClustersTPC[i]->Clone();
214
215 if (fhChi2PerClusterITS[i]) target.fhChi2PerClusterITS[i] = (TH1F*) fhChi2PerClusterITS[i]->Clone();
216 if (fhChi2PerClusterTPC[i]) target.fhChi2PerClusterTPC[i] = (TH1F*) fhChi2PerClusterTPC[i]->Clone();
217
218 if (fhC11[i]) target.fhC11[i] = (TH1F*) fhC11[i]->Clone();
219 if (fhC22[i]) target.fhC22[i] = (TH1F*) fhC22[i]->Clone();
220 if (fhC33[i]) target.fhC33[i] = (TH1F*) fhC33[i]->Clone();
221 if (fhC44[i]) target.fhC44[i] = (TH1F*) fhC44[i]->Clone();
222 if (fhC55[i]) target.fhC55[i] = (TH1F*) fhC55[i]->Clone();
223
224 if (fhDXY[i]) target.fhDXY[i] = (TH1F*) fhDXY[i]->Clone();
225 if (fhDZ[i]) target.fhDZ[i] = (TH1F*) fhDZ[i]->Clone();
226 if (fhDXYvsDZ[i]) target.fhDXYvsDZ[i] = (TH2F*) fhDXYvsDZ[i]->Clone();
227
228 if (fhDXYNormalized[i]) target.fhDXYNormalized[i] = (TH1F*) fhDXYNormalized[i]->Clone();
229 if (fhDZNormalized[i]) target.fhDZNormalized[i] = (TH1F*) fhDZNormalized[i]->Clone();
230 if (fhDXYvsDZNormalized[i]) target.fhDXYvsDZNormalized[i] = (TH2F*) fhDXYvsDZNormalized[i]->Clone();
231 }
232
233 if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone();
234 if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone();
0b75bef2 235
ebd60d8e 236 TObject::Copy(c);
0b75bef2 237}
238
0b75bef2 239//____________________________________________________________________
240Bool_t
241AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack) {
242 //
243 // figure out if the tracks survives all the track cuts defined
244 //
ab2c1f0d 245 // the different quality parameter and kinematic values are first
246 // retrieved from the track. then it is found out what cuts the
247 // track did not survive and finally the cuts are imposed.
0b75bef2 248
249 UInt_t status = esdTrack->GetStatus();
ebd60d8e 250
251 // dummy array
252 Int_t fIdxInt[200];
253
0b75bef2 254 // getting quality parameters from the ESD track
255 Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt);
256 Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt);
257
258 Float_t chi2PerClusterITS = -1;
259 Float_t chi2PerClusterTPC = -1;
260 if (nClustersITS!=0)
261 chi2PerClusterITS = esdTrack->GetITSchi2()/Float_t(nClustersITS);
262 if (nClustersTPC!=0)
263 chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC);
264
265 Double_t extCov[15];
ebd60d8e 266 esdTrack->GetExternalCovariance(extCov);
0b75bef2 267
268 // getting the track to vertex parameters
269 Float_t b[2];
270 Float_t bRes[2];
271 Float_t bCov[3];
272 esdTrack->GetImpactParameters(b,bCov);
273 if (bCov[0]<=0 || bCov[2]<=0) {
274 AliDebug(1, "Estimated b resolution zero!");
275 bCov[0]=0; bCov[1]=0;
276 }
277 bRes[0] = TMath::Sqrt(bCov[0]);
278 bRes[1] = TMath::Sqrt(bCov[2]);
279
280 // FIX !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
281 //
282 // this is not correct - it will not give n sigma!!!
283 //
284 Float_t nSigmaToVertex = -1;
285 if (bRes[0]!=0 && bRes[1]!=0)
ab2c1f0d 286 nSigmaToVertex = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2));
0b75bef2 287
288 // getting the kinematic variables of the track
289 // (assuming the mass is known)
290 Double_t p[3];
291 esdTrack->GetPxPyPz(p);
292 Float_t momentum = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2) + TMath::Power(p[2],2));
293 Float_t pt = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2));
294 Float_t energy = TMath::Sqrt(TMath::Power(esdTrack->GetMass(),2) + TMath::Power(momentum,2));
295
296 //y-eta related calculations
297 Float_t eta = -100.;
298 Float_t y = -100.;
299 if((momentum != TMath::Abs(p[2]))&&(momentum != 0))
300 eta = 0.5*TMath::Log((momentum + p[2])/(momentum - p[2]));
301 if((energy != TMath::Abs(p[2]))&&(momentum != 0))
302 y = 0.5*TMath::Log((energy + p[2])/(energy - p[2]));
303
304
305 //########################################################################
306 // cut the track?
307
ebd60d8e 308 Bool_t cuts[kNCuts];
309 for (Int_t i=0; i<kNCuts; i++) cuts[i]=kFALSE;
0b75bef2 310
311 // track quality cuts
ab2c1f0d 312 if (fCutRequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0)
0b75bef2 313 cuts[0]=kTRUE;
ab2c1f0d 314 if (fCutRequireITSRefit && (status&AliESDtrack::kITSrefit)==0)
0b75bef2 315 cuts[1]=kTRUE;
ab2c1f0d 316 if (nClustersTPC<fCutMinNClusterTPC)
0b75bef2 317 cuts[2]=kTRUE;
ab2c1f0d 318 if (nClustersITS<fCutMinNClusterITS)
0b75bef2 319 cuts[3]=kTRUE;
ab2c1f0d 320 if (chi2PerClusterTPC>fCutMaxChi2PerClusterTPC)
0b75bef2 321 cuts[4]=kTRUE;
ab2c1f0d 322 if (chi2PerClusterITS>fCutMaxChi2PerClusterITS)
0b75bef2 323 cuts[5]=kTRUE;
ab2c1f0d 324 if (extCov[0] > fCutMaxC11)
0b75bef2 325 cuts[6]=kTRUE;
ab2c1f0d 326 if (extCov[2] > fCutMaxC22)
0b75bef2 327 cuts[7]=kTRUE;
ab2c1f0d 328 if (extCov[5] > fCutMaxC33)
0b75bef2 329 cuts[8]=kTRUE;
ab2c1f0d 330 if (extCov[9] > fCutMaxC44)
0b75bef2 331 cuts[9]=kTRUE;
ab2c1f0d 332 if (extCov[14] > fCutMaxC55)
0b75bef2 333 cuts[10]=kTRUE;
ab2c1f0d 334 if (nSigmaToVertex > fCutNsigmaToVertex)
0b75bef2 335 cuts[11] = kTRUE;
336 // if n sigma could not be calculated
ab2c1f0d 337 if (nSigmaToVertex<0 && fCutSigmaToVertexRequired)
0b75bef2 338 cuts[12]=kTRUE;
ab2c1f0d 339 if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0)
0b75bef2 340 cuts[13]=kTRUE;
341 // track kinematics cut
342 if((momentum < fPMin) || (momentum > fPMax))
343 cuts[14]=kTRUE;
344 if((pt < fPtMin) || (pt > fPtMax))
345 cuts[15] = kTRUE;
346 if((p[0] < fPxMin) || (p[0] > fPxMax))
347 cuts[16] = kTRUE;
348 if((p[1] < fPyMin) || (p[1] > fPyMax))
349 cuts[17] = kTRUE;
350 if((p[2] < fPzMin) || (p[2] > fPzMax))
351 cuts[18] = kTRUE;
352 if((eta < fEtaMin) || (eta > fEtaMax))
353 cuts[19] = kTRUE;
354 if((y < fRapMin) || (y > fRapMax))
355 cuts[20] = kTRUE;
356
357 Bool_t cut=kFALSE;
ebd60d8e 358 for (Int_t i=0; i<kNCuts; i++)
0b75bef2 359 if (cuts[i]) cut = kTRUE;
360
361 //########################################################################
362 // filling histograms
363 if (fHistogramsOn) {
f58f1a93 364 fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n tracks")));
0b75bef2 365
366 if (cut)
f58f1a93 367 fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n cut tracks")));
0b75bef2 368
ebd60d8e 369 for (Int_t i=0; i<kNCuts; i++) {
0b75bef2 370 if (cuts[i])
ab2c1f0d 371 fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fgkCutNames[i])));
0b75bef2 372
ebd60d8e 373 for (Int_t j=i; j<kNCuts; j++) {
0b75bef2 374 if (cuts[i] && cuts[j]) {
ab2c1f0d 375 Float_t x = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fgkCutNames[i]));
376 Float_t y = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fgkCutNames[j]));
f58f1a93 377 fhCutCorrelation->Fill(x,y);
0b75bef2 378 }
379 }
380 }
381
382
f58f1a93 383 fhNClustersITS[0]->Fill(nClustersITS);
384 fhNClustersTPC[0]->Fill(nClustersTPC);
385 fhChi2PerClusterITS[0]->Fill(chi2PerClusterITS);
386 fhChi2PerClusterTPC[0]->Fill(chi2PerClusterTPC);
0b75bef2 387
f58f1a93 388 fhC11[0]->Fill(extCov[0]);
389 fhC22[0]->Fill(extCov[2]);
390 fhC33[0]->Fill(extCov[5]);
391 fhC44[0]->Fill(extCov[9]);
392 fhC55[0]->Fill(extCov[14]);
0b75bef2 393
f58f1a93 394 fhDZ[0]->Fill(b[1]);
395 fhDXY[0]->Fill(b[0]);
396 fhDXYvsDZ[0]->Fill(b[1],b[0]);
0b75bef2 397
398 if (bRes[0]!=0 && bRes[1]!=0) {
f58f1a93 399 fhDZNormalized[0]->Fill(b[1]/bRes[1]);
400 fhDXYNormalized[0]->Fill(b[0]/bRes[0]);
401 fhDXYvsDZNormalized[0]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
0b75bef2 402 }
403 }
404
405 //########################################################################
406 // cut the track!
407 if (cut) return kFALSE;
408
409 //########################################################################
410 // filling histograms after cut
411 if (fHistogramsOn) {
f58f1a93 412 fhNClustersITS[1]->Fill(nClustersITS);
413 fhNClustersTPC[1]->Fill(nClustersTPC);
414 fhChi2PerClusterITS[1]->Fill(chi2PerClusterITS);
415 fhChi2PerClusterTPC[1]->Fill(chi2PerClusterTPC);
0b75bef2 416
f58f1a93 417 fhC11[1]->Fill(extCov[0]);
418 fhC22[1]->Fill(extCov[2]);
419 fhC33[1]->Fill(extCov[5]);
420 fhC44[1]->Fill(extCov[9]);
421 fhC55[1]->Fill(extCov[14]);
0b75bef2 422
f58f1a93 423 fhDZ[1]->Fill(b[1]);
424 fhDXY[1]->Fill(b[0]);
425 fhDXYvsDZ[1]->Fill(b[1],b[0]);
0b75bef2 426
f58f1a93 427 fhDZNormalized[1]->Fill(b[1]/bRes[1]);
428 fhDXYNormalized[1]->Fill(b[0]/bRes[0]);
429 fhDXYvsDZNormalized[1]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
0b75bef2 430 }
431
432 return kTRUE;
433}
434
435//____________________________________________________________________
436TObjArray*
ebd60d8e 437AliESDtrackCuts::GetAcceptedTracks(AliESD* esd)
438{
439 //
0b75bef2 440 // returns an array of all tracks that pass the cuts
ebd60d8e 441 //
442
443 TObjArray* acceptedTracks = new TObjArray();
0b75bef2 444
445 // loop over esd tracks
446 for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) {
447 AliESDtrack* track = esd->GetTrack(iTrack);
448
ebd60d8e 449 if (AcceptTrack(track))
450 acceptedTracks->Add(track);
0b75bef2 451 }
452
ebd60d8e 453 return acceptedTracks;
0b75bef2 454}
455
456//____________________________________________________________________
f58f1a93 457 void AliESDtrackCuts::DefineHistograms(Int_t color) {
ab2c1f0d 458 //
459 // diagnostics histograms are defined
460 //
0b75bef2 461
f58f1a93 462 fHistogramsOn=kTRUE;
0b75bef2 463
ab2c1f0d 464 //###################################################################################
f58f1a93 465 // defining histograms
0b75bef2 466
ebd60d8e 467 fhCutStatistics = new TH1F("cut_statistics","cut statistics",kNCuts+4,-0.5,kNCuts+3.5);
0b75bef2 468
f58f1a93 469 fhCutStatistics->GetXaxis()->SetBinLabel(1,"n tracks");
470 fhCutStatistics->GetXaxis()->SetBinLabel(2,"n cut tracks");
0b75bef2 471
ebd60d8e 472 fhCutCorrelation = new TH2F("cut_correlation","cut correlation",kNCuts,-0.5,kNCuts-0.5,kNCuts,-0.5,kNCuts-0.5);;
0b75bef2 473
ebd60d8e 474 for (Int_t i=0; i<kNCuts; i++) {
ab2c1f0d 475 fhCutStatistics->GetXaxis()->SetBinLabel(i+4,fgkCutNames[i]);
476 fhCutCorrelation->GetXaxis()->SetBinLabel(i+1,fgkCutNames[i]);
477 fhCutCorrelation->GetYaxis()->SetBinLabel(i+1,fgkCutNames[i]);
f58f1a93 478 }
479
480 fhCutStatistics ->SetLineColor(color);
481 fhCutCorrelation ->SetLineColor(color);
482 fhCutStatistics ->SetLineWidth(2);
483 fhCutCorrelation ->SetLineWidth(2);
484
0b75bef2 485 Char_t str[256];
486 for (Int_t i=0; i<2; i++) {
487 if (i==0) sprintf(str," ");
488 else sprintf(str,"_cut");
489
ebd60d8e 490 fhNClustersITS[i] = new TH1F(Form("nClustersITS%s",str),"",8,-0.5,7.5);
491 fhNClustersTPC[i] = new TH1F(Form("nClustersTPC%s",str),"",165,-0.5,164.5);
492 fhChi2PerClusterITS[i] = new TH1F(Form("chi2PerClusterITS%s",str),"",500,0,10);
493 fhChi2PerClusterTPC[i] = new TH1F(Form("chi2PerClusterTPC%s",str),"",500,0,10);
494
495 fhC11[i] = new TH1F(Form("covMatrixDiagonal11%s",str),"",1000,0,5);
496 fhC22[i] = new TH1F(Form("covMatrixDiagonal22%s",str),"",1000,0,5);
497 fhC33[i] = new TH1F(Form("covMatrixDiagonal33%s",str),"",1000,0,0.5);
498 fhC44[i] = new TH1F(Form("covMatrixDiagonal44%s",str),"",1000,0,5);
499 fhC55[i] = new TH1F(Form("covMatrixDiagonal55%s",str),"",1000,0,5);
500
501 fhDXY[i] = new TH1F(Form("dXY%s",str),"",500,-10,10);
502 fhDZ[i] = new TH1F(Form("dZ%s",str),"",500,-10,10);
503 fhDXYvsDZ[i] = new TH2F(Form("dXYvsDZ%s",str),"",200,-10,10,200,-10,10);
504
505 fhDXYNormalized[i] = new TH1F(Form("dXYNormalized%s",str),"",500,-10,10);
506 fhDZNormalized[i] = new TH1F(Form("dZNormalized%s",str),"",500,-10,10);
507 fhDXYvsDZNormalized[i] = new TH2F(Form("dXYvsDZNormalized%s",str),"",200,-10,10,200,-10,10);
508
509
510 fhNClustersITS[i]->SetXTitle("n ITS clusters");
511 fhNClustersTPC[i]->SetXTitle("n TPC clusters");
512 fhChi2PerClusterITS[i]->SetXTitle("#Chi^{2} per ITS cluster");
513 fhChi2PerClusterTPC[i]->SetXTitle("#Chi^{2} per TPC cluster");
514
515 fhC11[i]->SetXTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]");
516 fhC22[i]->SetXTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]");
517 fhC33[i]->SetXTitle("cov 33 : #sigma_{sin(#phi)}^{2}");
518 fhC44[i]->SetXTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}");
519 fhC55[i]->SetXTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]");
520
521 fhDXY[i]->SetXTitle("transverse impact parameter");
522 fhDZ[i]->SetXTitle("longitudinal impact parameter");
523 fhDXYvsDZ[i]->SetXTitle("longitudinal impact parameter");
524 fhDXYvsDZ[i]->SetYTitle("transverse impact parameter");
525
526 fhDXYNormalized[i]->SetXTitle("normalized trans impact par");
527 fhDZNormalized[i]->SetXTitle("normalized long impact par");
528 fhDXYvsDZNormalized[i]->SetXTitle("normalized long impact par");
529 fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par");
530
531 fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2);
532 fhNClustersTPC[i]->SetLineColor(color); fhNClustersTPC[i]->SetLineWidth(2);
533 fhChi2PerClusterITS[i]->SetLineColor(color); fhChi2PerClusterITS[i]->SetLineWidth(2);
534 fhChi2PerClusterTPC[i]->SetLineColor(color); fhChi2PerClusterTPC[i]->SetLineWidth(2);
535
536 fhC11[i]->SetLineColor(color); fhC11[i]->SetLineWidth(2);
537 fhC22[i]->SetLineColor(color); fhC22[i]->SetLineWidth(2);
538 fhC33[i]->SetLineColor(color); fhC33[i]->SetLineWidth(2);
539 fhC44[i]->SetLineColor(color); fhC44[i]->SetLineWidth(2);
540 fhC55[i]->SetLineColor(color); fhC55[i]->SetLineWidth(2);
541
542 fhDXY[i]->SetLineColor(color); fhDXY[i]->SetLineWidth(2);
543 fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2);
544
545 fhDXYNormalized[i]->SetLineColor(color); fhDXYNormalized[i]->SetLineWidth(2);
546 fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2);
0b75bef2 547 }
548}
549
550//____________________________________________________________________
551void
49dc84d9 552AliESDtrackCuts::Print(const Option_t*) const {
ab2c1f0d 553 //
554 // print method - still to be implemented
555 //
0b75bef2 556
557 AliInfo("AliESDtrackCuts...");
558}
559
560
561//____________________________________________________________________
f58f1a93 562void AliESDtrackCuts::SaveHistograms(Char_t* dir) {
ab2c1f0d 563 //
564 // saves the histograms in a directory (dir)
565 //
566
0b75bef2 567
568 if (!fHistogramsOn) {
569 AliDebug(0, "Histograms not on - cannot save histograms!!!");
570 return;
571 }
572
573 gDirectory->mkdir(dir);
574 gDirectory->cd(dir);
575
576 gDirectory->mkdir("before_cuts");
577 gDirectory->mkdir("after_cuts");
578
f58f1a93 579 fhCutStatistics->Write();
580 fhCutCorrelation->Write();
0b75bef2 581
582 for (Int_t i=0; i<2; i++) {
583 if (i==0)
584 gDirectory->cd("before_cuts");
585 else
586 gDirectory->cd("after_cuts");
587
f58f1a93 588 fhNClustersITS[i] ->Write();
589 fhNClustersTPC[i] ->Write();
590 fhChi2PerClusterITS[i] ->Write();
591 fhChi2PerClusterTPC[i] ->Write();
0b75bef2 592
f58f1a93 593 fhC11[i] ->Write();
594 fhC22[i] ->Write();
595 fhC33[i] ->Write();
596 fhC44[i] ->Write();
597 fhC55[i] ->Write();
598
599 fhDXY[i] ->Write();
600 fhDZ[i] ->Write();
601 fhDXYvsDZ[i] ->Write();
0b75bef2 602
f58f1a93 603 fhDXYNormalized[i] ->Write();
604 fhDZNormalized[i] ->Write();
605 fhDXYvsDZNormalized[i] ->Write();
0b75bef2 606
607 gDirectory->cd("../");
608 }
609
610 gDirectory->cd("../");
611}
612
613
614