]> git.uio.no Git - u/mrichter/AliRoot.git/blame - PWG0/esdTrackCuts/AliESDtrackCuts.cxx
git://git.uio.no / u / mrichter / AliRoot.git / blame
? search:
summary | shortlog | log | commit | commitdiff | tree
blob | blame (incremental) | history | HEAD
small fix
[u/mrichter/AliRoot.git] / PWG0 / esdTrackCuts / AliESDtrackCuts.cxx
CommitLineData
0b75bef2 1#include "AliESDtrackCuts.h"
2
3#include <Riostream.h>
4
5//____________________________________________________________________
f58f1a93 6ClassImp(AliESDtrackCuts)
0b75bef2 7
ebd60d8e 8// Cut names
9const Char_t* AliESDtrackCuts::fCutNames[kNCuts] = {
10 "require TPC refit",
11 "require ITS refit",
12 "n clusters TPC",
13 "n clusters ITS",
14 "#Chi^{2}/clusters TPC",
15 "#Chi^{2}/clusters ITS",
16 "cov 11",
17 "cov 22",
18 "cov 33",
19 "cov 44",
20 "cov 55",
21 "trk-to-vtx",
22 "trk-to-vtx failed",
23 "kink daughters",
24
25 "p",
26 "p_{T}",
27 "p_{x}",
28 "p_{y}",
29 "p_{z}",
30 "y",
31 "eta"
32};
33
0b75bef2 34//____________________________________________________________________
ebd60d8e 35AliESDtrackCuts::AliESDtrackCuts()
36{
37 //
38 // constructor
39 //
40
41 Init();
0b75bef2 42
43 //##############################################################################
44 // setting default cuts
0b75bef2 45 SetMinNClustersTPC();
ebd60d8e 46 SetMinNClustersITS();
0b75bef2 47 SetMaxChi2PerClusterTPC();
48 SetMaxChi2PerClusterITS();
49 SetMaxCovDiagonalElements();
50 SetRequireTPCRefit();
51 SetRequireITSRefit();
52 SetAcceptKingDaughters();
53 SetMinNsigmaToVertex();
54 SetRequireSigmaToVertex();
55 SetPRange();
56 SetPtRange();
57 SetPxRange();
58 SetPyRange();
59 SetPzRange();
60 SetEtaRange();
61 SetRapRange();
62
63 SetHistogramsOn();
ebd60d8e 64}
65
66//_____________________________________________________________________________
67AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : TObject(c)
68{
69 //
70 // copy constructor
71 //
72
73 ((AliESDtrackCuts &) c).Copy(*this);
74}
75
76AliESDtrackCuts::~AliESDtrackCuts()
77{
78 //
79 // destructor
80 //
81
82 // ## TODO to be implemented
83}
84
85void AliESDtrackCuts::Init()
86{
87 //
88 // sets everything to zero
89 //
90
91 fCut_MinNClusterTPC = 0;
92 fCut_MinNClusterITS = 0;
93
94 fCut_MaxChi2PerClusterTPC = 0;
95 fCut_MaxChi2PerClusterITS = 0;
96
97 fCut_MaxC11 = 0;
98 fCut_MaxC22 = 0;
99 fCut_MaxC33 = 0;
100 fCut_MaxC44 = 0;
101 fCut_MaxC55 = 0;
102
103 fCut_AcceptKinkDaughters = 0;
104 fCut_RequireTPCRefit = 0;
105 fCut_RequireITSRefit = 0;
106
107 fCut_NsigmaToVertex = 0;
108 fCut_SigmaToVertexRequired = 0;
109
110 fPMin = 0;
111 fPMax = 0;
112 fPtMin = 0;
113 fPtMax = 0;
114 fPxMin = 0;
115 fPxMax = 0;
116 fPyMin = 0;
117 fPyMax = 0;
118 fPzMin = 0;
119 fPzMax = 0;
120 fEtaMin = 0;
121 fEtaMax = 0;
122 fRapMin = 0;
123 fRapMax = 0;
124
125 fHistogramsOn = kFALSE;
126
127 for (Int_t i=0; i<2; ++i)
128 {
129 fhNClustersITS[i] = 0;
130 fhNClustersTPC[i] = 0;
131
132 fhChi2PerClusterITS[i] = 0;
133 fhChi2PerClusterTPC[i] = 0;
134
135 fhC11[i] = 0;
136 fhC22[i] = 0;
137 fhC33[i] = 0;
138 fhC44[i] = 0;
139 fhC55[i] = 0;
140
141 fhDXY[i] = 0;
142 fhDZ[i] = 0;
143 fhDXYvsDZ[i] = 0;
144
145 fhDXYNormalized[i] = 0;
146 fhDZNormalized[i] = 0;
147 fhDXYvsDZNormalized[i] = 0;
148 }
149
150 fhCutStatistics = 0;
151 fhCutCorrelation = 0;
152}
153
154//_____________________________________________________________________________
155AliESDtrackCuts &AliESDtrackCuts::operator=(const AliESDtrackCuts &c)
156{
157 //
158 // Assignment operator
159 //
0b75bef2 160
ebd60d8e 161 if (this != &c) ((AliESDtrackCuts &) c).Copy(*this);
162 return *this;
163}
164
165//_____________________________________________________________________________
166void AliESDtrackCuts::Copy(TObject &c) const
167{
168 //
169 // Copy function
170 //
171
172 AliESDtrackCuts& target = (AliESDtrackCuts &) c;
173
174 target.Init();
175
176 target.fCut_MinNClusterTPC = fCut_MinNClusterTPC;
177 target.fCut_MinNClusterITS = fCut_MinNClusterITS;
178
179 target.fCut_MaxChi2PerClusterTPC = fCut_MaxChi2PerClusterTPC;
180 target.fCut_MaxChi2PerClusterITS = fCut_MaxChi2PerClusterITS;
181
182 target.fCut_MaxC11 = fCut_MaxC11;
183 target.fCut_MaxC22 = fCut_MaxC22;
184 target.fCut_MaxC33 = fCut_MaxC33;
185 target.fCut_MaxC44 = fCut_MaxC44;
186 target.fCut_MaxC55 = fCut_MaxC55;
187
188 target.fCut_AcceptKinkDaughters = fCut_AcceptKinkDaughters;
189 target.fCut_RequireTPCRefit = fCut_RequireTPCRefit;
190 target.fCut_RequireITSRefit = fCut_RequireITSRefit;
191
192 target.fCut_NsigmaToVertex = fCut_NsigmaToVertex;
193 target.fCut_SigmaToVertexRequired = fCut_SigmaToVertexRequired;
194
195 target.fPMin = fPMin;
196 target.fPMax = fPMax;
197 target.fPtMin = fPtMin;
198 target.fPtMax = fPtMax;
199 target.fPxMin = fPxMin;
200 target.fPxMax = fPxMax;
201 target.fPyMin = fPyMin;
202 target.fPyMax = fPyMax;
203 target.fPzMin = fPzMin;
204 target.fPzMax = fPzMax;
205 target.fEtaMin = fEtaMin;
206 target.fEtaMax = fEtaMax;
207 target.fRapMin = fRapMin;
208 target.fRapMax = fRapMax;
209
210 target.fHistogramsOn = fHistogramsOn;
211
212 for (Int_t i=0; i<2; ++i)
213 {
214 if (fhNClustersITS[i]) target.fhNClustersITS[i] = (TH1F*) fhNClustersITS[i]->Clone();
215 if (fhNClustersTPC[i]) target.fhNClustersTPC[i] = (TH1F*) fhNClustersTPC[i]->Clone();
216
217 if (fhChi2PerClusterITS[i]) target.fhChi2PerClusterITS[i] = (TH1F*) fhChi2PerClusterITS[i]->Clone();
218 if (fhChi2PerClusterTPC[i]) target.fhChi2PerClusterTPC[i] = (TH1F*) fhChi2PerClusterTPC[i]->Clone();
219
220 if (fhC11[i]) target.fhC11[i] = (TH1F*) fhC11[i]->Clone();
221 if (fhC22[i]) target.fhC22[i] = (TH1F*) fhC22[i]->Clone();
222 if (fhC33[i]) target.fhC33[i] = (TH1F*) fhC33[i]->Clone();
223 if (fhC44[i]) target.fhC44[i] = (TH1F*) fhC44[i]->Clone();
224 if (fhC55[i]) target.fhC55[i] = (TH1F*) fhC55[i]->Clone();
225
226 if (fhDXY[i]) target.fhDXY[i] = (TH1F*) fhDXY[i]->Clone();
227 if (fhDZ[i]) target.fhDZ[i] = (TH1F*) fhDZ[i]->Clone();
228 if (fhDXYvsDZ[i]) target.fhDXYvsDZ[i] = (TH2F*) fhDXYvsDZ[i]->Clone();
229
230 if (fhDXYNormalized[i]) target.fhDXYNormalized[i] = (TH1F*) fhDXYNormalized[i]->Clone();
231 if (fhDZNormalized[i]) target.fhDZNormalized[i] = (TH1F*) fhDZNormalized[i]->Clone();
232 if (fhDXYvsDZNormalized[i]) target.fhDXYvsDZNormalized[i] = (TH2F*) fhDXYvsDZNormalized[i]->Clone();
233 }
234
235 if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone();
236 if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone();
0b75bef2 237
ebd60d8e 238 TObject::Copy(c);
0b75bef2 239}
240
0b75bef2 241//____________________________________________________________________
242Bool_t
243AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack) {
244 //
245 // figure out if the tracks survives all the track cuts defined
246 //
247
248 UInt_t status = esdTrack->GetStatus();
ebd60d8e 249
250 // dummy array
251 Int_t fIdxInt[200];
252
0b75bef2 253 // getting quality parameters from the ESD track
254 Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt);
255 Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt);
256
257 Float_t chi2PerClusterITS = -1;
258 Float_t chi2PerClusterTPC = -1;
259 if (nClustersITS!=0)
260 chi2PerClusterITS = esdTrack->GetITSchi2()/Float_t(nClustersITS);
261 if (nClustersTPC!=0)
262 chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC);
263
264 Double_t extCov[15];
ebd60d8e 265 esdTrack->GetExternalCovariance(extCov);
0b75bef2 266
267 // getting the track to vertex parameters
268 Float_t b[2];
269 Float_t bRes[2];
270 Float_t bCov[3];
271 esdTrack->GetImpactParameters(b,bCov);
272 if (bCov[0]<=0 || bCov[2]<=0) {
273 AliDebug(1, "Estimated b resolution zero!");
274 bCov[0]=0; bCov[1]=0;
275 }
276 bRes[0] = TMath::Sqrt(bCov[0]);
277 bRes[1] = TMath::Sqrt(bCov[2]);
278
279 // FIX !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
280 //
281 // this is not correct - it will not give n sigma!!!
282 //
283 Float_t nSigmaToVertex = -1;
284 if (bRes[0]!=0 && bRes[1]!=0)
285 nSigmaToVertex = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2));
286
287 // getting the kinematic variables of the track
288 // (assuming the mass is known)
289 Double_t p[3];
290 esdTrack->GetPxPyPz(p);
291 Float_t momentum = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2) + TMath::Power(p[2],2));
292 Float_t pt = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2));
293 Float_t energy = TMath::Sqrt(TMath::Power(esdTrack->GetMass(),2) + TMath::Power(momentum,2));
294
295 //y-eta related calculations
296 Float_t eta = -100.;
297 Float_t y = -100.;
298 if((momentum != TMath::Abs(p[2]))&&(momentum != 0))
299 eta = 0.5*TMath::Log((momentum + p[2])/(momentum - p[2]));
300 if((energy != TMath::Abs(p[2]))&&(momentum != 0))
301 y = 0.5*TMath::Log((energy + p[2])/(energy - p[2]));
302
303
304 //########################################################################
305 // cut the track?
306
ebd60d8e 307 Bool_t cuts[kNCuts];
308 for (Int_t i=0; i<kNCuts; i++) cuts[i]=kFALSE;
0b75bef2 309
310 // track quality cuts
311 if (fCut_RequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0)
312 cuts[0]=kTRUE;
313 if (fCut_RequireITSRefit && (status&AliESDtrack::kITSrefit)==0)
314 cuts[1]=kTRUE;
315 if (nClustersTPC<fCut_MinNClusterTPC)
316 cuts[2]=kTRUE;
317 if (nClustersITS<fCut_MinNClusterITS)
318 cuts[3]=kTRUE;
319 if (chi2PerClusterTPC>fCut_MaxChi2PerClusterTPC)
320 cuts[4]=kTRUE;
321 if (chi2PerClusterITS>fCut_MaxChi2PerClusterITS)
322 cuts[5]=kTRUE;
323 if (extCov[0] > fCut_MaxC11)
324 cuts[6]=kTRUE;
325 if (extCov[2] > fCut_MaxC22)
326 cuts[7]=kTRUE;
327 if (extCov[5] > fCut_MaxC33)
328 cuts[8]=kTRUE;
329 if (extCov[9] > fCut_MaxC44)
330 cuts[9]=kTRUE;
331 if (extCov[14] > fCut_MaxC55)
332 cuts[10]=kTRUE;
333 if (nSigmaToVertex > fCut_NsigmaToVertex)
334 cuts[11] = kTRUE;
335 // if n sigma could not be calculated
336 if (nSigmaToVertex<0 && fCut_SigmaToVertexRequired)
337 cuts[12]=kTRUE;
338 if (!fCut_AcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0)
339 cuts[13]=kTRUE;
340 // track kinematics cut
341 if((momentum < fPMin) || (momentum > fPMax))
342 cuts[14]=kTRUE;
343 if((pt < fPtMin) || (pt > fPtMax))
344 cuts[15] = kTRUE;
345 if((p[0] < fPxMin) || (p[0] > fPxMax))
346 cuts[16] = kTRUE;
347 if((p[1] < fPyMin) || (p[1] > fPyMax))
348 cuts[17] = kTRUE;
349 if((p[2] < fPzMin) || (p[2] > fPzMax))
350 cuts[18] = kTRUE;
351 if((eta < fEtaMin) || (eta > fEtaMax))
352 cuts[19] = kTRUE;
353 if((y < fRapMin) || (y > fRapMax))
354 cuts[20] = kTRUE;
355
356 Bool_t cut=kFALSE;
ebd60d8e 357 for (Int_t i=0; i<kNCuts; i++)
0b75bef2 358 if (cuts[i]) cut = kTRUE;
359
360 //########################################################################
361 // filling histograms
362 if (fHistogramsOn) {
f58f1a93 363 fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n tracks")));
0b75bef2 364
365 if (cut)
f58f1a93 366 fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n cut tracks")));
0b75bef2 367
ebd60d8e 368 for (Int_t i=0; i<kNCuts; i++) {
0b75bef2 369 if (cuts[i])
f58f1a93 370 fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fCutNames[i])));
0b75bef2 371
ebd60d8e 372 for (Int_t j=i; j<kNCuts; j++) {
0b75bef2 373 if (cuts[i] && cuts[j]) {
f58f1a93 374 Float_t x = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fCutNames[i]));
375 Float_t y = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fCutNames[j]));
376 fhCutCorrelation->Fill(x,y);
0b75bef2 377 }
378 }
379 }
380
381
f58f1a93 382 fhNClustersITS[0]->Fill(nClustersITS);
383 fhNClustersTPC[0]->Fill(nClustersTPC);
384 fhChi2PerClusterITS[0]->Fill(chi2PerClusterITS);
385 fhChi2PerClusterTPC[0]->Fill(chi2PerClusterTPC);
0b75bef2 386
f58f1a93 387 fhC11[0]->Fill(extCov[0]);
388 fhC22[0]->Fill(extCov[2]);
389 fhC33[0]->Fill(extCov[5]);
390 fhC44[0]->Fill(extCov[9]);
391 fhC55[0]->Fill(extCov[14]);
0b75bef2 392
f58f1a93 393 fhDZ[0]->Fill(b[1]);
394 fhDXY[0]->Fill(b[0]);
395 fhDXYvsDZ[0]->Fill(b[1],b[0]);
0b75bef2 396
397 if (bRes[0]!=0 && bRes[1]!=0) {
f58f1a93 398 fhDZNormalized[0]->Fill(b[1]/bRes[1]);
399 fhDXYNormalized[0]->Fill(b[0]/bRes[0]);
400 fhDXYvsDZNormalized[0]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
0b75bef2 401 }
402 }
403
404 //########################################################################
405 // cut the track!
406 if (cut) return kFALSE;
407
408 //########################################################################
409 // filling histograms after cut
410 if (fHistogramsOn) {
f58f1a93 411 fhNClustersITS[1]->Fill(nClustersITS);
412 fhNClustersTPC[1]->Fill(nClustersTPC);
413 fhChi2PerClusterITS[1]->Fill(chi2PerClusterITS);
414 fhChi2PerClusterTPC[1]->Fill(chi2PerClusterTPC);
0b75bef2 415
f58f1a93 416 fhC11[1]->Fill(extCov[0]);
417 fhC22[1]->Fill(extCov[2]);
418 fhC33[1]->Fill(extCov[5]);
419 fhC44[1]->Fill(extCov[9]);
420 fhC55[1]->Fill(extCov[14]);
0b75bef2 421
f58f1a93 422 fhDZ[1]->Fill(b[1]);
423 fhDXY[1]->Fill(b[0]);
424 fhDXYvsDZ[1]->Fill(b[1],b[0]);
0b75bef2 425
f58f1a93 426 fhDZNormalized[1]->Fill(b[1]/bRes[1]);
427 fhDXYNormalized[1]->Fill(b[0]/bRes[0]);
428 fhDXYvsDZNormalized[1]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
0b75bef2 429 }
430
431 return kTRUE;
432}
433
434//____________________________________________________________________
435TObjArray*
ebd60d8e 436AliESDtrackCuts::GetAcceptedTracks(AliESD* esd)
437{
438 //
0b75bef2 439 // returns an array of all tracks that pass the cuts
ebd60d8e 440 //
441
442 TObjArray* acceptedTracks = new TObjArray();
0b75bef2 443
444 // loop over esd tracks
445 for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) {
446 AliESDtrack* track = esd->GetTrack(iTrack);
447
ebd60d8e 448 if (AcceptTrack(track))
449 acceptedTracks->Add(track);
0b75bef2 450 }
451
ebd60d8e 452 return acceptedTracks;
0b75bef2 453}
454
455//____________________________________________________________________
f58f1a93 456 void AliESDtrackCuts::DefineHistograms(Int_t color) {
0b75bef2 457
f58f1a93 458 fHistogramsOn=kTRUE;
0b75bef2 459
f58f1a93 460// //###################################################################################
461 // defining histograms
0b75bef2 462
ebd60d8e 463 fhCutStatistics = new TH1F("cut_statistics","cut statistics",kNCuts+4,-0.5,kNCuts+3.5);
0b75bef2 464
f58f1a93 465 fhCutStatistics->GetXaxis()->SetBinLabel(1,"n tracks");
466 fhCutStatistics->GetXaxis()->SetBinLabel(2,"n cut tracks");
0b75bef2 467
ebd60d8e 468 fhCutCorrelation = new TH2F("cut_correlation","cut correlation",kNCuts,-0.5,kNCuts-0.5,kNCuts,-0.5,kNCuts-0.5);;
0b75bef2 469
ebd60d8e 470 for (Int_t i=0; i<kNCuts; i++) {
f58f1a93 471 fhCutStatistics->GetXaxis()->SetBinLabel(i+4,fCutNames[i]);
472 fhCutCorrelation->GetXaxis()->SetBinLabel(i+1,fCutNames[i]);
473 fhCutCorrelation->GetYaxis()->SetBinLabel(i+1,fCutNames[i]);
474 }
475
476 fhCutStatistics ->SetLineColor(color);
477 fhCutCorrelation ->SetLineColor(color);
478 fhCutStatistics ->SetLineWidth(2);
479 fhCutCorrelation ->SetLineWidth(2);
480
0b75bef2 481 Char_t str[256];
482 for (Int_t i=0; i<2; i++) {
483 if (i==0) sprintf(str," ");
484 else sprintf(str,"_cut");
485
ebd60d8e 486 fhNClustersITS[i] = new TH1F(Form("nClustersITS%s",str),"",8,-0.5,7.5);
487 fhNClustersTPC[i] = new TH1F(Form("nClustersTPC%s",str),"",165,-0.5,164.5);
488 fhChi2PerClusterITS[i] = new TH1F(Form("chi2PerClusterITS%s",str),"",500,0,10);
489 fhChi2PerClusterTPC[i] = new TH1F(Form("chi2PerClusterTPC%s",str),"",500,0,10);
490
491 fhC11[i] = new TH1F(Form("covMatrixDiagonal11%s",str),"",1000,0,5);
492 fhC22[i] = new TH1F(Form("covMatrixDiagonal22%s",str),"",1000,0,5);
493 fhC33[i] = new TH1F(Form("covMatrixDiagonal33%s",str),"",1000,0,0.5);
494 fhC44[i] = new TH1F(Form("covMatrixDiagonal44%s",str),"",1000,0,5);
495 fhC55[i] = new TH1F(Form("covMatrixDiagonal55%s",str),"",1000,0,5);
496
497 fhDXY[i] = new TH1F(Form("dXY%s",str),"",500,-10,10);
498 fhDZ[i] = new TH1F(Form("dZ%s",str),"",500,-10,10);
499 fhDXYvsDZ[i] = new TH2F(Form("dXYvsDZ%s",str),"",200,-10,10,200,-10,10);
500
501 fhDXYNormalized[i] = new TH1F(Form("dXYNormalized%s",str),"",500,-10,10);
502 fhDZNormalized[i] = new TH1F(Form("dZNormalized%s",str),"",500,-10,10);
503 fhDXYvsDZNormalized[i] = new TH2F(Form("dXYvsDZNormalized%s",str),"",200,-10,10,200,-10,10);
504
505
506 fhNClustersITS[i]->SetXTitle("n ITS clusters");
507 fhNClustersTPC[i]->SetXTitle("n TPC clusters");
508 fhChi2PerClusterITS[i]->SetXTitle("#Chi^{2} per ITS cluster");
509 fhChi2PerClusterTPC[i]->SetXTitle("#Chi^{2} per TPC cluster");
510
511 fhC11[i]->SetXTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]");
512 fhC22[i]->SetXTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]");
513 fhC33[i]->SetXTitle("cov 33 : #sigma_{sin(#phi)}^{2}");
514 fhC44[i]->SetXTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}");
515 fhC55[i]->SetXTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]");
516
517 fhDXY[i]->SetXTitle("transverse impact parameter");
518 fhDZ[i]->SetXTitle("longitudinal impact parameter");
519 fhDXYvsDZ[i]->SetXTitle("longitudinal impact parameter");
520 fhDXYvsDZ[i]->SetYTitle("transverse impact parameter");
521
522 fhDXYNormalized[i]->SetXTitle("normalized trans impact par");
523 fhDZNormalized[i]->SetXTitle("normalized long impact par");
524 fhDXYvsDZNormalized[i]->SetXTitle("normalized long impact par");
525 fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par");
526
527 fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2);
528 fhNClustersTPC[i]->SetLineColor(color); fhNClustersTPC[i]->SetLineWidth(2);
529 fhChi2PerClusterITS[i]->SetLineColor(color); fhChi2PerClusterITS[i]->SetLineWidth(2);
530 fhChi2PerClusterTPC[i]->SetLineColor(color); fhChi2PerClusterTPC[i]->SetLineWidth(2);
531
532 fhC11[i]->SetLineColor(color); fhC11[i]->SetLineWidth(2);
533 fhC22[i]->SetLineColor(color); fhC22[i]->SetLineWidth(2);
534 fhC33[i]->SetLineColor(color); fhC33[i]->SetLineWidth(2);
535 fhC44[i]->SetLineColor(color); fhC44[i]->SetLineWidth(2);
536 fhC55[i]->SetLineColor(color); fhC55[i]->SetLineWidth(2);
537
538 fhDXY[i]->SetLineColor(color); fhDXY[i]->SetLineWidth(2);
539 fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2);
540
541 fhDXYNormalized[i]->SetLineColor(color); fhDXYNormalized[i]->SetLineWidth(2);
542 fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2);
0b75bef2 543 }
544}
545
546//____________________________________________________________________
547void
49dc84d9 548AliESDtrackCuts::Print(const Option_t*) const {
0b75bef2 549
550 AliInfo("AliESDtrackCuts...");
551}
552
553
554//____________________________________________________________________
f58f1a93 555void AliESDtrackCuts::SaveHistograms(Char_t* dir) {
0b75bef2 556
557 if (!fHistogramsOn) {
558 AliDebug(0, "Histograms not on - cannot save histograms!!!");
559 return;
560 }
561
562 gDirectory->mkdir(dir);
563 gDirectory->cd(dir);
564
565 gDirectory->mkdir("before_cuts");
566 gDirectory->mkdir("after_cuts");
567
f58f1a93 568 fhCutStatistics->Write();
569 fhCutCorrelation->Write();
0b75bef2 570
571 for (Int_t i=0; i<2; i++) {
572 if (i==0)
573 gDirectory->cd("before_cuts");
574 else
575 gDirectory->cd("after_cuts");
576
f58f1a93 577 fhNClustersITS[i] ->Write();
578 fhNClustersTPC[i] ->Write();
579 fhChi2PerClusterITS[i] ->Write();
580 fhChi2PerClusterTPC[i] ->Write();
0b75bef2 581
f58f1a93 582 fhC11[i] ->Write();
583 fhC22[i] ->Write();
584 fhC33[i] ->Write();
585 fhC44[i] ->Write();
586 fhC55[i] ->Write();
587
588 fhDXY[i] ->Write();
589 fhDZ[i] ->Write();
590 fhDXYvsDZ[i] ->Write();
0b75bef2 591
f58f1a93 592 fhDXYNormalized[i] ->Write();
593 fhDZNormalized[i] ->Write();
594 fhDXYvsDZNormalized[i] ->Write();
0b75bef2 595
596 gDirectory->cd("../");
597 }
598
599 gDirectory->cd("../");
600}
601
602
603