Removing ; from CorrectionMatrix2D.cxx - compilation error
[u/mrichter/AliRoot.git] / PWG0 / esdTrackCuts / AliESDtrackCuts.cxx
CommitLineData
dc740de4 1/* $Id$ */
2
0b75bef2 3#include "AliESDtrackCuts.h"
4
5#include <Riostream.h>
6
7//____________________________________________________________________
f58f1a93 8ClassImp(AliESDtrackCuts)
0b75bef2 9
ebd60d8e 10// Cut names
11const Char_t* AliESDtrackCuts::fCutNames[kNCuts] = {
12 "require TPC refit",
13 "require ITS refit",
14 "n clusters TPC",
15 "n clusters ITS",
16 "#Chi^{2}/clusters TPC",
17 "#Chi^{2}/clusters ITS",
18 "cov 11",
19 "cov 22",
20 "cov 33",
21 "cov 44",
22 "cov 55",
23 "trk-to-vtx",
24 "trk-to-vtx failed",
25 "kink daughters",
26
27 "p",
28 "p_{T}",
29 "p_{x}",
30 "p_{y}",
31 "p_{z}",
32 "y",
33 "eta"
34};
35
0b75bef2 36//____________________________________________________________________
ebd60d8e 37AliESDtrackCuts::AliESDtrackCuts()
38{
39 //
40 // constructor
41 //
42
43 Init();
0b75bef2 44
45 //##############################################################################
46 // setting default cuts
0b75bef2 47 SetMinNClustersTPC();
ebd60d8e 48 SetMinNClustersITS();
0b75bef2 49 SetMaxChi2PerClusterTPC();
50 SetMaxChi2PerClusterITS();
51 SetMaxCovDiagonalElements();
52 SetRequireTPCRefit();
53 SetRequireITSRefit();
54 SetAcceptKingDaughters();
55 SetMinNsigmaToVertex();
56 SetRequireSigmaToVertex();
57 SetPRange();
58 SetPtRange();
59 SetPxRange();
60 SetPyRange();
61 SetPzRange();
62 SetEtaRange();
63 SetRapRange();
64
65 SetHistogramsOn();
ebd60d8e 66}
67
68//_____________________________________________________________________________
69AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : TObject(c)
70{
71 //
72 // copy constructor
73 //
74
75 ((AliESDtrackCuts &) c).Copy(*this);
76}
77
78AliESDtrackCuts::~AliESDtrackCuts()
79{
80 //
81 // destructor
82 //
83
84 // ## TODO to be implemented
85}
86
87void AliESDtrackCuts::Init()
88{
89 //
90 // sets everything to zero
91 //
92
93 fCut_MinNClusterTPC = 0;
94 fCut_MinNClusterITS = 0;
95
96 fCut_MaxChi2PerClusterTPC = 0;
97 fCut_MaxChi2PerClusterITS = 0;
98
99 fCut_MaxC11 = 0;
100 fCut_MaxC22 = 0;
101 fCut_MaxC33 = 0;
102 fCut_MaxC44 = 0;
103 fCut_MaxC55 = 0;
104
105 fCut_AcceptKinkDaughters = 0;
106 fCut_RequireTPCRefit = 0;
107 fCut_RequireITSRefit = 0;
108
109 fCut_NsigmaToVertex = 0;
110 fCut_SigmaToVertexRequired = 0;
111
112 fPMin = 0;
113 fPMax = 0;
114 fPtMin = 0;
115 fPtMax = 0;
116 fPxMin = 0;
117 fPxMax = 0;
118 fPyMin = 0;
119 fPyMax = 0;
120 fPzMin = 0;
121 fPzMax = 0;
122 fEtaMin = 0;
123 fEtaMax = 0;
124 fRapMin = 0;
125 fRapMax = 0;
126
127 fHistogramsOn = kFALSE;
128
129 for (Int_t i=0; i<2; ++i)
130 {
131 fhNClustersITS[i] = 0;
132 fhNClustersTPC[i] = 0;
133
134 fhChi2PerClusterITS[i] = 0;
135 fhChi2PerClusterTPC[i] = 0;
136
137 fhC11[i] = 0;
138 fhC22[i] = 0;
139 fhC33[i] = 0;
140 fhC44[i] = 0;
141 fhC55[i] = 0;
142
143 fhDXY[i] = 0;
144 fhDZ[i] = 0;
145 fhDXYvsDZ[i] = 0;
146
147 fhDXYNormalized[i] = 0;
148 fhDZNormalized[i] = 0;
149 fhDXYvsDZNormalized[i] = 0;
150 }
151
152 fhCutStatistics = 0;
153 fhCutCorrelation = 0;
154}
155
156//_____________________________________________________________________________
157AliESDtrackCuts &AliESDtrackCuts::operator=(const AliESDtrackCuts &c)
158{
159 //
160 // Assignment operator
161 //
0b75bef2 162
ebd60d8e 163 if (this != &c) ((AliESDtrackCuts &) c).Copy(*this);
164 return *this;
165}
166
167//_____________________________________________________________________________
168void AliESDtrackCuts::Copy(TObject &c) const
169{
170 //
171 // Copy function
172 //
173
174 AliESDtrackCuts& target = (AliESDtrackCuts &) c;
175
176 target.Init();
177
178 target.fCut_MinNClusterTPC = fCut_MinNClusterTPC;
179 target.fCut_MinNClusterITS = fCut_MinNClusterITS;
180
181 target.fCut_MaxChi2PerClusterTPC = fCut_MaxChi2PerClusterTPC;
182 target.fCut_MaxChi2PerClusterITS = fCut_MaxChi2PerClusterITS;
183
184 target.fCut_MaxC11 = fCut_MaxC11;
185 target.fCut_MaxC22 = fCut_MaxC22;
186 target.fCut_MaxC33 = fCut_MaxC33;
187 target.fCut_MaxC44 = fCut_MaxC44;
188 target.fCut_MaxC55 = fCut_MaxC55;
189
190 target.fCut_AcceptKinkDaughters = fCut_AcceptKinkDaughters;
191 target.fCut_RequireTPCRefit = fCut_RequireTPCRefit;
192 target.fCut_RequireITSRefit = fCut_RequireITSRefit;
193
194 target.fCut_NsigmaToVertex = fCut_NsigmaToVertex;
195 target.fCut_SigmaToVertexRequired = fCut_SigmaToVertexRequired;
196
197 target.fPMin = fPMin;
198 target.fPMax = fPMax;
199 target.fPtMin = fPtMin;
200 target.fPtMax = fPtMax;
201 target.fPxMin = fPxMin;
202 target.fPxMax = fPxMax;
203 target.fPyMin = fPyMin;
204 target.fPyMax = fPyMax;
205 target.fPzMin = fPzMin;
206 target.fPzMax = fPzMax;
207 target.fEtaMin = fEtaMin;
208 target.fEtaMax = fEtaMax;
209 target.fRapMin = fRapMin;
210 target.fRapMax = fRapMax;
211
212 target.fHistogramsOn = fHistogramsOn;
213
214 for (Int_t i=0; i<2; ++i)
215 {
216 if (fhNClustersITS[i]) target.fhNClustersITS[i] = (TH1F*) fhNClustersITS[i]->Clone();
217 if (fhNClustersTPC[i]) target.fhNClustersTPC[i] = (TH1F*) fhNClustersTPC[i]->Clone();
218
219 if (fhChi2PerClusterITS[i]) target.fhChi2PerClusterITS[i] = (TH1F*) fhChi2PerClusterITS[i]->Clone();
220 if (fhChi2PerClusterTPC[i]) target.fhChi2PerClusterTPC[i] = (TH1F*) fhChi2PerClusterTPC[i]->Clone();
221
222 if (fhC11[i]) target.fhC11[i] = (TH1F*) fhC11[i]->Clone();
223 if (fhC22[i]) target.fhC22[i] = (TH1F*) fhC22[i]->Clone();
224 if (fhC33[i]) target.fhC33[i] = (TH1F*) fhC33[i]->Clone();
225 if (fhC44[i]) target.fhC44[i] = (TH1F*) fhC44[i]->Clone();
226 if (fhC55[i]) target.fhC55[i] = (TH1F*) fhC55[i]->Clone();
227
228 if (fhDXY[i]) target.fhDXY[i] = (TH1F*) fhDXY[i]->Clone();
229 if (fhDZ[i]) target.fhDZ[i] = (TH1F*) fhDZ[i]->Clone();
230 if (fhDXYvsDZ[i]) target.fhDXYvsDZ[i] = (TH2F*) fhDXYvsDZ[i]->Clone();
231
232 if (fhDXYNormalized[i]) target.fhDXYNormalized[i] = (TH1F*) fhDXYNormalized[i]->Clone();
233 if (fhDZNormalized[i]) target.fhDZNormalized[i] = (TH1F*) fhDZNormalized[i]->Clone();
234 if (fhDXYvsDZNormalized[i]) target.fhDXYvsDZNormalized[i] = (TH2F*) fhDXYvsDZNormalized[i]->Clone();
235 }
236
237 if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone();
238 if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone();
0b75bef2 239
ebd60d8e 240 TObject::Copy(c);
0b75bef2 241}
242
0b75bef2 243//____________________________________________________________________
244Bool_t
245AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack) {
246 //
247 // figure out if the tracks survives all the track cuts defined
248 //
249
250 UInt_t status = esdTrack->GetStatus();
ebd60d8e 251
252 // dummy array
253 Int_t fIdxInt[200];
254
0b75bef2 255 // getting quality parameters from the ESD track
256 Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt);
257 Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt);
258
259 Float_t chi2PerClusterITS = -1;
260 Float_t chi2PerClusterTPC = -1;
261 if (nClustersITS!=0)
262 chi2PerClusterITS = esdTrack->GetITSchi2()/Float_t(nClustersITS);
263 if (nClustersTPC!=0)
264 chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC);
265
266 Double_t extCov[15];
ebd60d8e 267 esdTrack->GetExternalCovariance(extCov);
0b75bef2 268
269 // getting the track to vertex parameters
270 Float_t b[2];
271 Float_t bRes[2];
272 Float_t bCov[3];
273 esdTrack->GetImpactParameters(b,bCov);
274 if (bCov[0]<=0 || bCov[2]<=0) {
275 AliDebug(1, "Estimated b resolution zero!");
276 bCov[0]=0; bCov[1]=0;
277 }
278 bRes[0] = TMath::Sqrt(bCov[0]);
279 bRes[1] = TMath::Sqrt(bCov[2]);
280
281 // FIX !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
282 //
283 // this is not correct - it will not give n sigma!!!
284 //
285 Float_t nSigmaToVertex = -1;
286 if (bRes[0]!=0 && bRes[1]!=0)
dc740de4 287 nSigmaToVertex = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2));
0b75bef2 288
289 // getting the kinematic variables of the track
290 // (assuming the mass is known)
291 Double_t p[3];
292 esdTrack->GetPxPyPz(p);
293 Float_t momentum = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2) + TMath::Power(p[2],2));
294 Float_t pt = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2));
295 Float_t energy = TMath::Sqrt(TMath::Power(esdTrack->GetMass(),2) + TMath::Power(momentum,2));
296
297 //y-eta related calculations
298 Float_t eta = -100.;
299 Float_t y = -100.;
300 if((momentum != TMath::Abs(p[2]))&&(momentum != 0))
301 eta = 0.5*TMath::Log((momentum + p[2])/(momentum - p[2]));
302 if((energy != TMath::Abs(p[2]))&&(momentum != 0))
303 y = 0.5*TMath::Log((energy + p[2])/(energy - p[2]));
304
305
306 //########################################################################
307 // cut the track?
308
ebd60d8e 309 Bool_t cuts[kNCuts];
310 for (Int_t i=0; i<kNCuts; i++) cuts[i]=kFALSE;
0b75bef2 311
312 // track quality cuts
313 if (fCut_RequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0)
314 cuts[0]=kTRUE;
315 if (fCut_RequireITSRefit && (status&AliESDtrack::kITSrefit)==0)
316 cuts[1]=kTRUE;
317 if (nClustersTPC<fCut_MinNClusterTPC)
318 cuts[2]=kTRUE;
319 if (nClustersITS<fCut_MinNClusterITS)
320 cuts[3]=kTRUE;
321 if (chi2PerClusterTPC>fCut_MaxChi2PerClusterTPC)
322 cuts[4]=kTRUE;
323 if (chi2PerClusterITS>fCut_MaxChi2PerClusterITS)
324 cuts[5]=kTRUE;
325 if (extCov[0] > fCut_MaxC11)
326 cuts[6]=kTRUE;
327 if (extCov[2] > fCut_MaxC22)
328 cuts[7]=kTRUE;
329 if (extCov[5] > fCut_MaxC33)
330 cuts[8]=kTRUE;
331 if (extCov[9] > fCut_MaxC44)
332 cuts[9]=kTRUE;
333 if (extCov[14] > fCut_MaxC55)
334 cuts[10]=kTRUE;
335 if (nSigmaToVertex > fCut_NsigmaToVertex)
336 cuts[11] = kTRUE;
337 // if n sigma could not be calculated
338 if (nSigmaToVertex<0 && fCut_SigmaToVertexRequired)
339 cuts[12]=kTRUE;
340 if (!fCut_AcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0)
341 cuts[13]=kTRUE;
342 // track kinematics cut
343 if((momentum < fPMin) || (momentum > fPMax))
344 cuts[14]=kTRUE;
345 if((pt < fPtMin) || (pt > fPtMax))
346 cuts[15] = kTRUE;
347 if((p[0] < fPxMin) || (p[0] > fPxMax))
348 cuts[16] = kTRUE;
349 if((p[1] < fPyMin) || (p[1] > fPyMax))
350 cuts[17] = kTRUE;
351 if((p[2] < fPzMin) || (p[2] > fPzMax))
352 cuts[18] = kTRUE;
353 if((eta < fEtaMin) || (eta > fEtaMax))
354 cuts[19] = kTRUE;
355 if((y < fRapMin) || (y > fRapMax))
356 cuts[20] = kTRUE;
357
358 Bool_t cut=kFALSE;
ebd60d8e 359 for (Int_t i=0; i<kNCuts; i++)
0b75bef2 360 if (cuts[i]) cut = kTRUE;
361
362 //########################################################################
363 // filling histograms
364 if (fHistogramsOn) {
f58f1a93 365 fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n tracks")));
0b75bef2 366
367 if (cut)
f58f1a93 368 fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n cut tracks")));
0b75bef2 369
ebd60d8e 370 for (Int_t i=0; i<kNCuts; i++) {
0b75bef2 371 if (cuts[i])
f58f1a93 372 fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fCutNames[i])));
0b75bef2 373
ebd60d8e 374 for (Int_t j=i; j<kNCuts; j++) {
0b75bef2 375 if (cuts[i] && cuts[j]) {
f58f1a93 376 Float_t x = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fCutNames[i]));
377 Float_t y = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fCutNames[j]));
378 fhCutCorrelation->Fill(x,y);
0b75bef2 379 }
380 }
381 }
382
383
f58f1a93 384 fhNClustersITS[0]->Fill(nClustersITS);
385 fhNClustersTPC[0]->Fill(nClustersTPC);
386 fhChi2PerClusterITS[0]->Fill(chi2PerClusterITS);
387 fhChi2PerClusterTPC[0]->Fill(chi2PerClusterTPC);
0b75bef2 388
f58f1a93 389 fhC11[0]->Fill(extCov[0]);
390 fhC22[0]->Fill(extCov[2]);
391 fhC33[0]->Fill(extCov[5]);
392 fhC44[0]->Fill(extCov[9]);
393 fhC55[0]->Fill(extCov[14]);
0b75bef2 394
f58f1a93 395 fhDZ[0]->Fill(b[1]);
396 fhDXY[0]->Fill(b[0]);
397 fhDXYvsDZ[0]->Fill(b[1],b[0]);
0b75bef2 398
399 if (bRes[0]!=0 && bRes[1]!=0) {
f58f1a93 400 fhDZNormalized[0]->Fill(b[1]/bRes[1]);
401 fhDXYNormalized[0]->Fill(b[0]/bRes[0]);
402 fhDXYvsDZNormalized[0]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
0b75bef2 403 }
404 }
405
406 //########################################################################
407 // cut the track!
408 if (cut) return kFALSE;
409
410 //########################################################################
411 // filling histograms after cut
412 if (fHistogramsOn) {
f58f1a93 413 fhNClustersITS[1]->Fill(nClustersITS);
414 fhNClustersTPC[1]->Fill(nClustersTPC);
415 fhChi2PerClusterITS[1]->Fill(chi2PerClusterITS);
416 fhChi2PerClusterTPC[1]->Fill(chi2PerClusterTPC);
0b75bef2 417
f58f1a93 418 fhC11[1]->Fill(extCov[0]);
419 fhC22[1]->Fill(extCov[2]);
420 fhC33[1]->Fill(extCov[5]);
421 fhC44[1]->Fill(extCov[9]);
422 fhC55[1]->Fill(extCov[14]);
0b75bef2 423
f58f1a93 424 fhDZ[1]->Fill(b[1]);
425 fhDXY[1]->Fill(b[0]);
426 fhDXYvsDZ[1]->Fill(b[1],b[0]);
0b75bef2 427
f58f1a93 428 fhDZNormalized[1]->Fill(b[1]/bRes[1]);
429 fhDXYNormalized[1]->Fill(b[0]/bRes[0]);
430 fhDXYvsDZNormalized[1]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
0b75bef2 431 }
432
433 return kTRUE;
434}
435
436//____________________________________________________________________
437TObjArray*
ebd60d8e 438AliESDtrackCuts::GetAcceptedTracks(AliESD* esd)
439{
440 //
0b75bef2 441 // returns an array of all tracks that pass the cuts
ebd60d8e 442 //
443
444 TObjArray* acceptedTracks = new TObjArray();
0b75bef2 445
446 // loop over esd tracks
447 for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) {
448 AliESDtrack* track = esd->GetTrack(iTrack);
449
ebd60d8e 450 if (AcceptTrack(track))
451 acceptedTracks->Add(track);
0b75bef2 452 }
453
ebd60d8e 454 return acceptedTracks;
0b75bef2 455}
456
457//____________________________________________________________________
f58f1a93 458 void AliESDtrackCuts::DefineHistograms(Int_t color) {
0b75bef2 459
f58f1a93 460 fHistogramsOn=kTRUE;
0b75bef2 461
f58f1a93 462// //###################################################################################
463 // defining histograms
0b75bef2 464
ebd60d8e 465 fhCutStatistics = new TH1F("cut_statistics","cut statistics",kNCuts+4,-0.5,kNCuts+3.5);
0b75bef2 466
f58f1a93 467 fhCutStatistics->GetXaxis()->SetBinLabel(1,"n tracks");
468 fhCutStatistics->GetXaxis()->SetBinLabel(2,"n cut tracks");
0b75bef2 469
ebd60d8e 470 fhCutCorrelation = new TH2F("cut_correlation","cut correlation",kNCuts,-0.5,kNCuts-0.5,kNCuts,-0.5,kNCuts-0.5);;
0b75bef2 471
ebd60d8e 472 for (Int_t i=0; i<kNCuts; i++) {
f58f1a93 473 fhCutStatistics->GetXaxis()->SetBinLabel(i+4,fCutNames[i]);
474 fhCutCorrelation->GetXaxis()->SetBinLabel(i+1,fCutNames[i]);
475 fhCutCorrelation->GetYaxis()->SetBinLabel(i+1,fCutNames[i]);
476 }
477
478 fhCutStatistics ->SetLineColor(color);
479 fhCutCorrelation ->SetLineColor(color);
480 fhCutStatistics ->SetLineWidth(2);
481 fhCutCorrelation ->SetLineWidth(2);
482
0b75bef2 483 Char_t str[256];
484 for (Int_t i=0; i<2; i++) {
485 if (i==0) sprintf(str," ");
486 else sprintf(str,"_cut");
487
ebd60d8e 488 fhNClustersITS[i] = new TH1F(Form("nClustersITS%s",str),"",8,-0.5,7.5);
489 fhNClustersTPC[i] = new TH1F(Form("nClustersTPC%s",str),"",165,-0.5,164.5);
490 fhChi2PerClusterITS[i] = new TH1F(Form("chi2PerClusterITS%s",str),"",500,0,10);
491 fhChi2PerClusterTPC[i] = new TH1F(Form("chi2PerClusterTPC%s",str),"",500,0,10);
492
493 fhC11[i] = new TH1F(Form("covMatrixDiagonal11%s",str),"",1000,0,5);
494 fhC22[i] = new TH1F(Form("covMatrixDiagonal22%s",str),"",1000,0,5);
495 fhC33[i] = new TH1F(Form("covMatrixDiagonal33%s",str),"",1000,0,0.5);
496 fhC44[i] = new TH1F(Form("covMatrixDiagonal44%s",str),"",1000,0,5);
497 fhC55[i] = new TH1F(Form("covMatrixDiagonal55%s",str),"",1000,0,5);
498
499 fhDXY[i] = new TH1F(Form("dXY%s",str),"",500,-10,10);
500 fhDZ[i] = new TH1F(Form("dZ%s",str),"",500,-10,10);
501 fhDXYvsDZ[i] = new TH2F(Form("dXYvsDZ%s",str),"",200,-10,10,200,-10,10);
502
503 fhDXYNormalized[i] = new TH1F(Form("dXYNormalized%s",str),"",500,-10,10);
504 fhDZNormalized[i] = new TH1F(Form("dZNormalized%s",str),"",500,-10,10);
505 fhDXYvsDZNormalized[i] = new TH2F(Form("dXYvsDZNormalized%s",str),"",200,-10,10,200,-10,10);
506
507
508 fhNClustersITS[i]->SetXTitle("n ITS clusters");
509 fhNClustersTPC[i]->SetXTitle("n TPC clusters");
510 fhChi2PerClusterITS[i]->SetXTitle("#Chi^{2} per ITS cluster");
511 fhChi2PerClusterTPC[i]->SetXTitle("#Chi^{2} per TPC cluster");
512
513 fhC11[i]->SetXTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]");
514 fhC22[i]->SetXTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]");
515 fhC33[i]->SetXTitle("cov 33 : #sigma_{sin(#phi)}^{2}");
516 fhC44[i]->SetXTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}");
517 fhC55[i]->SetXTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]");
518
519 fhDXY[i]->SetXTitle("transverse impact parameter");
520 fhDZ[i]->SetXTitle("longitudinal impact parameter");
521 fhDXYvsDZ[i]->SetXTitle("longitudinal impact parameter");
522 fhDXYvsDZ[i]->SetYTitle("transverse impact parameter");
523
524 fhDXYNormalized[i]->SetXTitle("normalized trans impact par");
525 fhDZNormalized[i]->SetXTitle("normalized long impact par");
526 fhDXYvsDZNormalized[i]->SetXTitle("normalized long impact par");
527 fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par");
528
529 fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2);
530 fhNClustersTPC[i]->SetLineColor(color); fhNClustersTPC[i]->SetLineWidth(2);
531 fhChi2PerClusterITS[i]->SetLineColor(color); fhChi2PerClusterITS[i]->SetLineWidth(2);
532 fhChi2PerClusterTPC[i]->SetLineColor(color); fhChi2PerClusterTPC[i]->SetLineWidth(2);
533
534 fhC11[i]->SetLineColor(color); fhC11[i]->SetLineWidth(2);
535 fhC22[i]->SetLineColor(color); fhC22[i]->SetLineWidth(2);
536 fhC33[i]->SetLineColor(color); fhC33[i]->SetLineWidth(2);
537 fhC44[i]->SetLineColor(color); fhC44[i]->SetLineWidth(2);
538 fhC55[i]->SetLineColor(color); fhC55[i]->SetLineWidth(2);
539
540 fhDXY[i]->SetLineColor(color); fhDXY[i]->SetLineWidth(2);
541 fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2);
542
543 fhDXYNormalized[i]->SetLineColor(color); fhDXYNormalized[i]->SetLineWidth(2);
544 fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2);
0b75bef2 545 }
546}
547
548//____________________________________________________________________
549void
49dc84d9 550AliESDtrackCuts::Print(const Option_t*) const {
0b75bef2 551
552 AliInfo("AliESDtrackCuts...");
553}
554
555
556//____________________________________________________________________
f58f1a93 557void AliESDtrackCuts::SaveHistograms(Char_t* dir) {
0b75bef2 558
559 if (!fHistogramsOn) {
560 AliDebug(0, "Histograms not on - cannot save histograms!!!");
561 return;
562 }
563
564 gDirectory->mkdir(dir);
565 gDirectory->cd(dir);
566
567 gDirectory->mkdir("before_cuts");
568 gDirectory->mkdir("after_cuts");
569
f58f1a93 570 fhCutStatistics->Write();
571 fhCutCorrelation->Write();
0b75bef2 572
573 for (Int_t i=0; i<2; i++) {
574 if (i==0)
575 gDirectory->cd("before_cuts");
576 else
577 gDirectory->cd("after_cuts");
578
f58f1a93 579 fhNClustersITS[i] ->Write();
580 fhNClustersTPC[i] ->Write();
581 fhChi2PerClusterITS[i] ->Write();
582 fhChi2PerClusterTPC[i] ->Write();
0b75bef2 583
f58f1a93 584 fhC11[i] ->Write();
585 fhC22[i] ->Write();
586 fhC33[i] ->Write();
587 fhC44[i] ->Write();
588 fhC55[i] ->Write();
589
590 fhDXY[i] ->Write();
591 fhDZ[i] ->Write();
592 fhDXYvsDZ[i] ->Write();
0b75bef2 593
f58f1a93 594 fhDXYNormalized[i] ->Write();
595 fhDZNormalized[i] ->Write();
596 fhDXYvsDZNormalized[i] ->Write();
0b75bef2 597
598 gDirectory->cd("../");
599 }
600
601 gDirectory->cd("../");
602}
603
604
605