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added warning in SetElement (comment from P. Rosnet)
[u/mrichter/AliRoot.git] / CORRFW / AliCFTrackQualityCuts.cxx
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563113d0 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// The class AliCFTrackQualityCuts is designed to select reconstructed tracks
17// of high quality and to provide corresponding QA histograms.
18// This class inherits from the Analysis' Framework abstract base class
19// AliAnalysisCuts and is a part of the Correction Framework.
20// This class acts on single, reconstructed tracks, it is applicable on
21// ESD and AOD data.
22// It mainly consists of a IsSelected function that returns a boolean.
23// This function checks whether the considered track passes a set of cuts:
24// - number of clusters in the TPC
25// - number of clusters in the ITS
18274103 26// - number of clusters in the TRD
563113d0 27// - chi2 / cluster in the TPC
28// - chi2 / cluster in the ITS
18274103 29// - chi2 / cluster in the TRD
563113d0 30// - successful TPC refit
31// - successful ITS refit
32// - covariance matrix diagonal elements
33//
34// The cut values for these cuts are set with the corresponding set functions.
35// All cut classes provided by the correction framework are supposed to be
36// added in the Analysis Framwork's class AliAnalysisFilter and applied by
37// the filter via a loop.
38//
39// author: I. Kraus (Ingrid.Kraus@cern.ch)
40// idea taken form
41// AliESDtrackCuts writte by Jan Fiete Grosse-Oetringhaus and
42// AliRsnDaughterCut class written by A. Pulvirenti.
43
44
45#include <TCanvas.h>
46#include <TDirectory.h>
563113d0 47#include <TH2.h>
6cb5e116 48#include <TBits.h>
563113d0 49
50#include <AliESDtrack.h>
51#include <AliLog.h>
52#include "AliCFTrackQualityCuts.h"
8edd0c2c 53#include "AliAODTrack.h"
563113d0 54
55ClassImp(AliCFTrackQualityCuts)
56
57//__________________________________________________________________________________
58AliCFTrackQualityCuts::AliCFTrackQualityCuts() :
59 AliCFCutBase(),
60 fMinNClusterTPC(0),
61 fMinNClusterITS(0),
18274103 62 fMinNClusterTRD(0),
563113d0 63 fMaxChi2PerClusterTPC(0),
64 fMaxChi2PerClusterITS(0),
18274103 65 fMaxChi2PerClusterTRD(0),
563113d0 66 fCovariance11Max(0),
67 fCovariance22Max(0),
68 fCovariance33Max(0),
69 fCovariance44Max(0),
70 fCovariance55Max(0),
8edd0c2c 71 fStatus(0),
563113d0 72 fhCutStatistics(0),
73 fhCutCorrelation(0),
74 fBitmap(0x0),
75 fhNBinsClusterTPC(0),
76 fhNBinsClusterITS(0),
18274103 77 fhNBinsClusterTRD(0),
563113d0 78 fhNBinsChi2TPC(0),
79 fhNBinsChi2ITS(0),
18274103 80 fhNBinsChi2TRD(0),
563113d0 81 fhNBinsCovariance11(0),
82 fhNBinsCovariance22(0),
83 fhNBinsCovariance33(0),
84 fhNBinsCovariance44(0),
85 fhNBinsCovariance55(0),
86 fhBinLimClusterTPC(0x0),
87 fhBinLimClusterITS(0x0),
18274103 88 fhBinLimClusterTRD(0x0),
563113d0 89 fhBinLimChi2TPC(0x0),
90 fhBinLimChi2ITS(0x0),
18274103 91 fhBinLimChi2TRD(0x0),
563113d0 92 fhBinLimCovariance11(0x0),
93 fhBinLimCovariance22(0x0),
94 fhBinLimCovariance33(0x0),
95 fhBinLimCovariance44(0x0),
96 fhBinLimCovariance55(0x0)
6cb5e116 97{
563113d0 98 //
99 // Default constructor
100 //
563113d0 101 Initialise();
102}
103//__________________________________________________________________________________
104AliCFTrackQualityCuts::AliCFTrackQualityCuts(Char_t* name, Char_t* title) :
105 AliCFCutBase(name,title),
106 fMinNClusterTPC(0),
107 fMinNClusterITS(0),
18274103 108 fMinNClusterTRD(0),
563113d0 109 fMaxChi2PerClusterTPC(0),
110 fMaxChi2PerClusterITS(0),
18274103 111 fMaxChi2PerClusterTRD(0),
563113d0 112 fCovariance11Max(0),
113 fCovariance22Max(0),
114 fCovariance33Max(0),
115 fCovariance44Max(0),
116 fCovariance55Max(0),
8edd0c2c 117 fStatus(0),
563113d0 118 fhCutStatistics(0),
119 fhCutCorrelation(0),
120 fBitmap(0x0),
121 fhNBinsClusterTPC(0),
122 fhNBinsClusterITS(0),
18274103 123 fhNBinsClusterTRD(0),
563113d0 124 fhNBinsChi2TPC(0),
125 fhNBinsChi2ITS(0),
18274103 126 fhNBinsChi2TRD(0),
563113d0 127 fhNBinsCovariance11(0),
128 fhNBinsCovariance22(0),
129 fhNBinsCovariance33(0),
130 fhNBinsCovariance44(0),
131 fhNBinsCovariance55(0),
132 fhBinLimClusterTPC(0x0),
133 fhBinLimClusterITS(0x0),
18274103 134 fhBinLimClusterTRD(0x0),
563113d0 135 fhBinLimChi2TPC(0x0),
136 fhBinLimChi2ITS(0x0),
18274103 137 fhBinLimChi2TRD(0x0),
563113d0 138 fhBinLimCovariance11(0x0),
139 fhBinLimCovariance22(0x0),
140 fhBinLimCovariance33(0x0),
141 fhBinLimCovariance44(0x0),
142 fhBinLimCovariance55(0x0)
563113d0 143{
144 //
145 // Constructor
146 //
563113d0 147 Initialise();
148}
149//__________________________________________________________________________________
150AliCFTrackQualityCuts::AliCFTrackQualityCuts(const AliCFTrackQualityCuts& c) :
151 AliCFCutBase(c),
152 fMinNClusterTPC(c.fMinNClusterTPC),
153 fMinNClusterITS(c.fMinNClusterITS),
18274103 154 fMinNClusterTRD(c.fMinNClusterTRD),
563113d0 155 fMaxChi2PerClusterTPC(c.fMaxChi2PerClusterTPC),
156 fMaxChi2PerClusterITS(c.fMaxChi2PerClusterITS),
18274103 157 fMaxChi2PerClusterTRD(c.fMaxChi2PerClusterTRD),
563113d0 158 fCovariance11Max(c.fCovariance11Max),
159 fCovariance22Max(c.fCovariance22Max),
160 fCovariance33Max(c.fCovariance33Max),
161 fCovariance44Max(c.fCovariance44Max),
162 fCovariance55Max(c.fCovariance55Max),
8edd0c2c 163 fStatus(c.fStatus),
563113d0 164 fhCutStatistics(c.fhCutStatistics),
165 fhCutCorrelation(c.fhCutCorrelation),
166 fBitmap(c.fBitmap),
167 fhNBinsClusterTPC(c.fhNBinsClusterTPC),
168 fhNBinsClusterITS(c.fhNBinsClusterITS),
18274103 169 fhNBinsClusterTRD(c.fhNBinsClusterTRD),
563113d0 170 fhNBinsChi2TPC(c.fhNBinsChi2TPC),
171 fhNBinsChi2ITS(c.fhNBinsChi2ITS),
18274103 172 fhNBinsChi2TRD(c.fhNBinsChi2TRD),
563113d0 173 fhNBinsCovariance11(c.fhNBinsCovariance11),
174 fhNBinsCovariance22(c.fhNBinsCovariance22),
175 fhNBinsCovariance33(c.fhNBinsCovariance33),
176 fhNBinsCovariance44(c.fhNBinsCovariance44),
177 fhNBinsCovariance55(c.fhNBinsCovariance55),
178 fhBinLimClusterTPC(c.fhBinLimClusterTPC),
179 fhBinLimClusterITS(c.fhBinLimClusterITS),
18274103 180 fhBinLimClusterTRD(c.fhBinLimClusterTRD),
563113d0 181 fhBinLimChi2TPC(c.fhBinLimChi2TPC),
182 fhBinLimChi2ITS(c.fhBinLimChi2ITS),
18274103 183 fhBinLimChi2TRD(c.fhBinLimChi2TRD),
563113d0 184 fhBinLimCovariance11(c.fhBinLimCovariance11),
185 fhBinLimCovariance22(c.fhBinLimCovariance22),
186 fhBinLimCovariance33(c.fhBinLimCovariance33),
187 fhBinLimCovariance44(c.fhBinLimCovariance44),
188 fhBinLimCovariance55(c.fhBinLimCovariance55)
189{
190 //
191 // copy constructor
192 //
193 ((AliCFTrackQualityCuts &) c).Copy(*this);
194}
195//__________________________________________________________________________________
196AliCFTrackQualityCuts& AliCFTrackQualityCuts::operator=(const AliCFTrackQualityCuts& c)
197{
198 //
199 // Assignment operator
200 //
201 if (this != &c) {
202 AliCFCutBase::operator=(c) ;
203 fMinNClusterTPC = c.fMinNClusterTPC ;
204 fMinNClusterITS = c.fMinNClusterITS ;
18274103 205 fMinNClusterTRD = c.fMinNClusterTRD ;
563113d0 206 fMaxChi2PerClusterTPC = c.fMaxChi2PerClusterTPC ;
207 fMaxChi2PerClusterITS = c.fMaxChi2PerClusterITS ;
18274103 208 fMaxChi2PerClusterTRD = c.fMaxChi2PerClusterTRD ;
563113d0 209 fCovariance11Max = c.fCovariance11Max ;
210 fCovariance22Max = c.fCovariance22Max ;
211 fCovariance33Max = c.fCovariance33Max ;
212 fCovariance44Max = c.fCovariance44Max ;
213 fCovariance55Max = c.fCovariance55Max ;
8edd0c2c 214 fStatus = c.fStatus ;
563113d0 215 fhCutStatistics = c.fhCutStatistics ;
216 fhCutCorrelation = c.fhCutCorrelation ;
217 fBitmap = c.fBitmap ;
563113d0 218 fhNBinsClusterTPC = c.fhNBinsClusterTPC ;
219 fhNBinsClusterITS = c.fhNBinsClusterITS ;
18274103 220 fhNBinsClusterTRD = c.fhNBinsClusterTRD ;
563113d0 221 fhNBinsChi2TPC = c.fhNBinsChi2TPC ;
222 fhNBinsChi2ITS = c.fhNBinsChi2ITS ;
18274103 223 fhNBinsChi2TRD = c.fhNBinsChi2TRD ;
563113d0 224 fhNBinsCovariance11 = c.fhNBinsCovariance11 ;
225 fhNBinsCovariance22 = c.fhNBinsCovariance22 ;
226 fhNBinsCovariance33 = c.fhNBinsCovariance33 ;
227 fhNBinsCovariance44 = c.fhNBinsCovariance44 ;
228 fhNBinsCovariance55 = c.fhNBinsCovariance55 ;
229 fhBinLimClusterTPC = c.fhBinLimClusterTPC ;
230 fhBinLimClusterITS = c.fhBinLimClusterITS ;
18274103 231 fhBinLimClusterTRD = c.fhBinLimClusterTRD ;
563113d0 232 fhBinLimChi2TPC = c.fhBinLimChi2TPC ;
233 fhBinLimChi2ITS = c.fhBinLimChi2ITS ;
18274103 234 fhBinLimChi2TRD = c.fhBinLimChi2TRD ;
563113d0 235 fhBinLimCovariance11 = c.fhBinLimCovariance11 ;
236 fhBinLimCovariance22 = c.fhBinLimCovariance22 ;
237 fhBinLimCovariance33 = c.fhBinLimCovariance33 ;
238 fhBinLimCovariance44 = c.fhBinLimCovariance44 ;
239 fhBinLimCovariance55 = c.fhBinLimCovariance55 ;
6cb5e116 240
563113d0 241 for (Int_t i=0; i<c.kNHist; i++){
242 for (Int_t j=0; j<c.kNStepQA; j++){
243 if(c.fhQA[i][j]) fhQA[i][j] = (TH1F*)c.fhQA[i][j]->Clone();
244 }
245 }
563113d0 246 ((AliCFTrackQualityCuts &) c).Copy(*this);
6cb5e116 247 }
563113d0 248 return *this;
249}
250//__________________________________________________________________________________
251AliCFTrackQualityCuts::~AliCFTrackQualityCuts()
252{
253 //
254 // destructor
255 //
8edd0c2c 256 if (fhCutStatistics) delete fhCutStatistics;
257 if (fhCutCorrelation) delete fhCutCorrelation;
563113d0 258
259 for (Int_t i=0; i<kNHist; i++){
260 for (Int_t j=0; j<kNStepQA; j++){
261 if(fhQA[i][j]) delete fhQA[i][j];
262 }
263 }
6cb5e116 264 if(fBitmap) delete fBitmap;
563113d0 265 if(fhBinLimClusterTPC) delete fhBinLimClusterTPC;
266 if(fhBinLimClusterITS) delete fhBinLimClusterITS;
18274103 267 if(fhBinLimClusterTRD) delete fhBinLimClusterTRD;
563113d0 268 if(fhBinLimChi2TPC) delete fhBinLimChi2TPC;
269 if(fhBinLimChi2ITS) delete fhBinLimChi2ITS;
18274103 270 if(fhBinLimChi2TRD) delete fhBinLimChi2TRD;
563113d0 271 if(fhBinLimCovariance11) delete fhBinLimCovariance11;
272 if(fhBinLimCovariance22) delete fhBinLimCovariance22;
273 if(fhBinLimCovariance33) delete fhBinLimCovariance33;
274 if(fhBinLimCovariance44) delete fhBinLimCovariance44;
275 if(fhBinLimCovariance55) delete fhBinLimCovariance55;
563113d0 276}
277//__________________________________________________________________________________
278void AliCFTrackQualityCuts::Initialise()
279{
280 //
281 // sets everything to zero
282 //
283 fMinNClusterTPC = 0;
284 fMinNClusterITS = 0;
18274103 285 fMinNClusterTRD = 0;
563113d0 286 fMaxChi2PerClusterTPC = 0;
287 fMaxChi2PerClusterITS = 0;
18274103 288 fMaxChi2PerClusterTRD = 0;
563113d0 289 fCovariance11Max = 0;
290 fCovariance22Max = 0;
291 fCovariance33Max = 0;
292 fCovariance44Max = 0;
293 fCovariance55Max = 0;
8edd0c2c 294 fStatus = 0;
563113d0 295
296 SetMinNClusterTPC();
297 SetMinNClusterITS();
18274103 298 SetMinNClusterTRD();
563113d0 299 SetMaxChi2PerClusterTPC();
300 SetMaxChi2PerClusterITS();
18274103 301 SetMaxChi2PerClusterTRD();
563113d0 302 SetMaxCovDiagonalElements();
8edd0c2c 303 SetStatus();
563113d0 304
305 for (Int_t i=0; i<kNHist; i++){
6cb5e116 306 for (Int_t j=0; j<kNStepQA; j++)
563113d0 307 fhQA[i][j] = 0x0;
563113d0 308 }
309 fhCutStatistics = 0;
310 fhCutCorrelation = 0;
6cb5e116 311 fBitmap=new TBits(0);
563113d0 312
6cb5e116 313 //set default bining for QA histograms
563113d0 314 SetHistogramBins(kCutClusterTPC,165,-0.5,164.5);
315 SetHistogramBins(kCutClusterITS,8,-0.5,7.5);
18274103 316 SetHistogramBins(kCutClusterTRD,100,-0.5,99.5);
6cb5e116 317 SetHistogramBins(kCutChi2TPC,500,0.,10.);
318 SetHistogramBins(kCutChi2ITS,500,0.,10.);
18274103 319 SetHistogramBins(kCutChi2TRD,500,0.,10.);
6cb5e116 320 SetHistogramBins(kCutCovElement11,200,0.,20.);
321 SetHistogramBins(kCutCovElement22,200,0.,20.);
322 SetHistogramBins(kCutCovElement33,100,0.,1.);
323 SetHistogramBins(kCutCovElement44,100,0.,5.);
324 SetHistogramBins(kCutCovElement55,100,0.,5.);
563113d0 325}
326//__________________________________________________________________________________
327void AliCFTrackQualityCuts::Copy(TObject &c) const
328{
329 //
330 // Copy function
331 //
332 AliCFTrackQualityCuts& target = (AliCFTrackQualityCuts &) c;
333
334 target.Initialise();
335
336 if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone();
337 if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone();
338
339 for (Int_t i=0; i<kNHist; i++){
340 for (Int_t j=0; j<kNStepQA; j++){
341 if(fhQA[i][j]) target.fhQA[i][j] = (TH1F*)fhQA[i][j]->Clone();
342 }
343 }
563113d0 344 TNamed::Copy(c);
345}
346//__________________________________________________________________________________
107a3100 347void AliCFTrackQualityCuts::SelectionBitMap(TObject* obj)
563113d0 348{
349 //
350 // test if the track passes the single cuts
351 // and store the information in a bitmap
352 //
353
354 // bitmap stores the decision of each single cut
355 for(Int_t i=0; i<kNCuts; i++)fBitmap->SetBitNumber(i,kFALSE);
356
8edd0c2c 357 if (!obj) return;
358 if (!obj->InheritsFrom("AliVParticle")) {
359 AliError("object must derived from AliVParticle !");
360 return;
361 }
563113d0 362
8edd0c2c 363 Bool_t isESDTrack = strcmp(obj->ClassName(),"AliESDtrack") == 0 ? kTRUE : kFALSE ;
364 Bool_t isAODTrack = strcmp(obj->ClassName(),"AliAODTrack") == 0 ? kTRUE : kFALSE ;
563113d0 365
8edd0c2c 366 AliESDtrack * esdTrack = 0x0 ;
367 AliAODTrack * aodTrack = 0x0 ;
368 if (isESDTrack) esdTrack = dynamic_cast<AliESDtrack*>(obj);
369 if (isAODTrack) aodTrack = dynamic_cast<AliAODTrack*>(obj);
563113d0 370
8edd0c2c 371 // get cut quantities
372 Int_t fIdxInt[200];
373 Int_t nClustersTPC = 0;
374 Int_t nClustersITS = 0 ;
18274103 375 Int_t nClustersTRD = 0 ;
8edd0c2c 376 Float_t chi2PerClusterTPC = 0 ;
377 Float_t chi2PerClusterITS = 0 ;
18274103 378 Float_t chi2PerClusterTRD = 0 ;
8edd0c2c 379 Double_t extCov[15]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
380
381 if (isESDTrack) {
382 nClustersTPC = esdTrack->GetTPCclusters(fIdxInt);
383 nClustersITS = esdTrack->GetITSclusters(fIdxInt);
18274103 384 nClustersTRD = esdTrack->GetTRDclusters(fIdxInt);
8edd0c2c 385 if (nClustersTPC != 0) chi2PerClusterTPC = esdTrack->GetTPCchi2() / Float_t(nClustersTPC);
386 if (nClustersITS != 0) chi2PerClusterITS = esdTrack->GetITSchi2() / Float_t(nClustersITS);
18274103 387 if (nClustersTRD != 0) chi2PerClusterTRD = esdTrack->GetTRDchi2() / Float_t(nClustersTRD);
8edd0c2c 388 esdTrack->GetExternalCovariance(extCov);
389 }
563113d0 390
563113d0 391 // fill the bitmap
392 Int_t iCutBit = 0;
393
107a3100 394 if (nClustersTPC >= fMinNClusterTPC)
8edd0c2c 395 fBitmap->SetBitNumber(iCutBit,kTRUE);
563113d0 396 iCutBit++;
107a3100 397 if (nClustersITS >= fMinNClusterITS)
8edd0c2c 398 fBitmap->SetBitNumber(iCutBit,kTRUE);
563113d0 399 iCutBit++;
18274103 400 if (nClustersTRD >= fMinNClusterTRD)
401 fBitmap->SetBitNumber(iCutBit,kTRUE);
402 iCutBit++;
107a3100 403 if (chi2PerClusterTPC <= fMaxChi2PerClusterTPC)
8edd0c2c 404 fBitmap->SetBitNumber(iCutBit,kTRUE);
563113d0 405 iCutBit++;
107a3100 406 if (chi2PerClusterITS <= fMaxChi2PerClusterITS)
8edd0c2c 407 fBitmap->SetBitNumber(iCutBit,kTRUE);
563113d0 408 iCutBit++;
18274103 409 if (chi2PerClusterTRD <= fMaxChi2PerClusterTRD)
410 fBitmap->SetBitNumber(iCutBit,kTRUE);
411 iCutBit++;
107a3100 412 if (extCov[0] <= fCovariance11Max)
8edd0c2c 413 fBitmap->SetBitNumber(iCutBit,kTRUE);
563113d0 414 iCutBit++;
107a3100 415 if (extCov[2] <= fCovariance22Max)
8edd0c2c 416 fBitmap->SetBitNumber(iCutBit,kTRUE);
563113d0 417 iCutBit++;
107a3100 418 if (extCov[5] <= fCovariance33Max)
8edd0c2c 419 fBitmap->SetBitNumber(iCutBit,kTRUE);
563113d0 420 iCutBit++;
107a3100 421 if (extCov[9] <= fCovariance44Max)
8edd0c2c 422 fBitmap->SetBitNumber(iCutBit,kTRUE);
563113d0 423 iCutBit++;
107a3100 424 if (extCov[14] <= fCovariance55Max)
8edd0c2c 425 fBitmap->SetBitNumber(iCutBit,kTRUE);
426 iCutBit++;
427
428 if (isESDTrack) {
429 if ( (esdTrack->GetStatus() & fStatus) == fStatus ) fBitmap->SetBitNumber(iCutBit,kTRUE);
430 }
431 else {
432 if ( (aodTrack->GetStatus() & fStatus) == fStatus ) fBitmap->SetBitNumber(iCutBit,kTRUE);
433 }
563113d0 434
107a3100 435 return;
563113d0 436}
437//__________________________________________________________________________________
438Bool_t AliCFTrackQualityCuts::IsSelected(TObject* obj) {
439 //
440 // loops over decisions of single cuts and returns if the track is accepted
441 //
107a3100 442 SelectionBitMap(obj);
563113d0 443
107a3100 444 if (fIsQAOn) FillHistograms(obj,0);
563113d0 445 Bool_t isSelected = kTRUE;
446
107a3100 447 for (UInt_t icut=0; icut<fBitmap->GetNbits();icut++) {
448 if(!fBitmap->TestBitNumber(icut)) {
449 isSelected = kFALSE;
450 break;
451 }
452 }
453 if (!isSelected) return kFALSE ;
454 if (fIsQAOn) FillHistograms(obj,1);
455 return kTRUE;
563113d0 456}
457//__________________________________________________________________________________
458void AliCFTrackQualityCuts::SetHistogramBins(Int_t index, Int_t nbins, Double_t *bins)
459{
460 //
461 // variable bin size
462 //
463 if(!fIsQAOn) return;
464
8edd0c2c 465 if (index<0 || index>=kNHist) {
466 Error("SetHistogramBins","could not determine histogram from index %d",index);
467 return;
468 }
469
563113d0 470 switch(index){
471 case kCutClusterTPC:
db6722a5 472 fhNBinsClusterTPC=nbins+1;
563113d0 473 fhBinLimClusterTPC=new Double_t[nbins+1];
474 for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTPC[i]=bins[i];
475 break;
6cb5e116 476
563113d0 477 case kCutClusterITS:
db6722a5 478 fhNBinsClusterITS=nbins+1;
563113d0 479 fhBinLimClusterITS=new Double_t[nbins+1];
480 for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterITS[i]=bins[i];
481 break;
6cb5e116 482
18274103 483 case kCutClusterTRD:
484 fhNBinsClusterTRD=nbins+1;
485 fhBinLimClusterTRD=new Double_t[nbins+1];
486 for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTRD[i]=bins[i];
487 break;
488
563113d0 489 case kCutChi2TPC:
db6722a5 490 fhNBinsChi2TPC=nbins+1;
563113d0 491 fhBinLimChi2TPC=new Double_t[nbins+1];
492 for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TPC[i]=bins[i];
493 break;
6cb5e116 494
563113d0 495 case kCutChi2ITS:
db6722a5 496 fhNBinsChi2ITS=nbins+1;
563113d0 497 fhBinLimChi2ITS=new Double_t[nbins+1];
498 for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2ITS[i]=bins[i];
499 break;
6cb5e116 500
18274103 501 case kCutChi2TRD:
502 fhNBinsChi2TRD=nbins+1;
503 fhBinLimChi2TRD=new Double_t[nbins+1];
504 for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TRD[i]=bins[i];
505 break;
506
563113d0 507 case kCutCovElement11:
db6722a5 508 fhNBinsCovariance11=nbins+1;
563113d0 509 fhBinLimCovariance11=new Double_t[nbins+1];
510 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance11[i]=bins[i];
511 break;
6cb5e116 512
563113d0 513 case kCutCovElement22:
db6722a5 514 fhNBinsCovariance22=nbins+1;
563113d0 515 fhBinLimCovariance22=new Double_t[nbins+1];
516 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance22[i]=bins[i];
517 break;
6cb5e116 518
563113d0 519 case kCutCovElement33:
db6722a5 520 fhNBinsCovariance33=nbins+1;
563113d0 521 fhBinLimCovariance33=new Double_t[nbins+1];
522 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance33[i]=bins[i];
523 break;
6cb5e116 524
563113d0 525 case kCutCovElement44:
db6722a5 526 fhNBinsCovariance44=nbins+1;
563113d0 527 fhBinLimCovariance44=new Double_t[nbins+1];
528 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance44[i]=bins[i];
529 break;
6cb5e116 530
563113d0 531 case kCutCovElement55:
db6722a5 532 fhNBinsCovariance55=nbins+1;
563113d0 533 fhBinLimCovariance55=new Double_t[nbins+1];
534 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance55[i]=bins[i];
535 break;
536 }
537}
538//__________________________________________________________________________________
539void AliCFTrackQualityCuts::SetHistogramBins(Int_t index, Int_t nbins, Double_t xmin, Double_t xmax)
540{
541 //
542 // fixed bin size
543 //
8edd0c2c 544 if (index<0 || index>=kNHist) {
545 Error("SetHistogramBins","could not determine histogram from index %d",index);
546 return;
547 }
548
563113d0 549 switch(index){
550 case kCutClusterTPC:
db6722a5 551 fhNBinsClusterTPC=nbins+1;
563113d0 552 fhBinLimClusterTPC=new Double_t[nbins+1];
553 for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
554 break;
6cb5e116 555
563113d0 556 case kCutClusterITS:
db6722a5 557 fhNBinsClusterITS=nbins+1;
563113d0 558 fhBinLimClusterITS=new Double_t[nbins+1];
559 for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterITS[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
560 break;
6cb5e116 561
18274103 562 case kCutClusterTRD:
563 fhNBinsClusterTRD=nbins+1;
564 fhBinLimClusterTRD=new Double_t[nbins+1];
565 for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTRD[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
566 break;
567
563113d0 568 case kCutChi2TPC:
db6722a5 569 fhNBinsChi2TPC=nbins+1;
563113d0 570 fhBinLimChi2TPC=new Double_t[nbins+1];
571 for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
572 break;
6cb5e116 573
563113d0 574 case kCutChi2ITS:
db6722a5 575 fhNBinsChi2ITS=nbins+1;
563113d0 576 fhBinLimChi2ITS=new Double_t[nbins+1];
577 for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2ITS[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
578 break;
6cb5e116 579
18274103 580 case kCutChi2TRD:
581 fhNBinsChi2TRD=nbins+1;
582 fhBinLimChi2TRD=new Double_t[nbins+1];
583 for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TRD[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
584 break;
585
563113d0 586 case kCutCovElement11:
db6722a5 587 fhNBinsCovariance11=nbins+1;
563113d0 588 fhBinLimCovariance11=new Double_t[nbins+1];
589 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance11[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
590 break;
6cb5e116 591
563113d0 592 case kCutCovElement22:
db6722a5 593 fhNBinsCovariance22=nbins+1;
563113d0 594 fhBinLimCovariance22=new Double_t[nbins+1];
595 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance22[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
596 break;
6cb5e116 597
563113d0 598 case kCutCovElement33:
db6722a5 599 fhNBinsCovariance33=nbins+1;
563113d0 600 fhBinLimCovariance33=new Double_t[nbins+1];
601 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance33[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
602 break;
6cb5e116 603
563113d0 604 case kCutCovElement44:
db6722a5 605 fhNBinsCovariance44=nbins+1;
563113d0 606 fhBinLimCovariance44=new Double_t[nbins+1];
607 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance44[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
608 break;
6cb5e116 609
563113d0 610 case kCutCovElement55:
db6722a5 611 fhNBinsCovariance55=nbins+1;
563113d0 612 fhBinLimCovariance55=new Double_t[nbins+1];
613 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance55[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
614 break;
615 }
616}
617//__________________________________________________________________________________
618 void AliCFTrackQualityCuts::DefineHistograms() {
619 //
620 // histograms for cut variables, cut statistics and cut correlations
621 //
563113d0 622 Int_t color = 2;
623
624 // book cut statistics and cut correlation histograms
625 fhCutStatistics = new TH1F(Form("%s_cut_statistics",GetName()), Form("%s cut statistics",GetName()), kNCuts,0.5,kNCuts+0.5);
626 fhCutStatistics->SetLineWidth(2);
18274103 627 fhCutStatistics->GetXaxis()->SetBinLabel(1, "nClustersTPC");
628 fhCutStatistics->GetXaxis()->SetBinLabel(2, "nClustersITS");
629 fhCutStatistics->GetXaxis()->SetBinLabel(3, "nClustersTRD");
630 fhCutStatistics->GetXaxis()->SetBinLabel(4, "chi2PerClusterTPC");
631 fhCutStatistics->GetXaxis()->SetBinLabel(5, "chi2PerClusterITS");
632 fhCutStatistics->GetXaxis()->SetBinLabel(6, "chi2PerClusterTRD");
633 fhCutStatistics->GetXaxis()->SetBinLabel(7, "covElement11");
634 fhCutStatistics->GetXaxis()->SetBinLabel(8, "covElement22");
635 fhCutStatistics->GetXaxis()->SetBinLabel(9, "covElement33");
636 fhCutStatistics->GetXaxis()->SetBinLabel(10,"covElement44");
637 fhCutStatistics->GetXaxis()->SetBinLabel(11,"covElement55");
638 fhCutStatistics->GetXaxis()->SetBinLabel(12,"status");
563113d0 639
640 fhCutCorrelation = new TH2F(Form("%s_cut_correlation",GetName()), Form("%s cut correlation",GetName()), kNCuts,0.5,kNCuts+0.5,kNCuts,0.5,kNCuts+0.5);
641 fhCutCorrelation->SetLineWidth(2);
18274103 642 fhCutCorrelation->GetXaxis()->SetBinLabel(1, "nClustersTPC");
643 fhCutCorrelation->GetXaxis()->SetBinLabel(2, "nClustersITS");
644 fhCutCorrelation->GetXaxis()->SetBinLabel(3, "nClustersTRD");
645 fhCutCorrelation->GetXaxis()->SetBinLabel(4, "chi2PerClusterTPC");
646 fhCutCorrelation->GetXaxis()->SetBinLabel(5, "chi2PerClusterITS");
647 fhCutCorrelation->GetXaxis()->SetBinLabel(6, "chi2PerClusterTRD");
648 fhCutCorrelation->GetXaxis()->SetBinLabel(7, "covElement11");
649 fhCutCorrelation->GetXaxis()->SetBinLabel(8, "covElement22");
650 fhCutCorrelation->GetXaxis()->SetBinLabel(9, "covElement33");
651 fhCutCorrelation->GetXaxis()->SetBinLabel(10,"covElement44");
652 fhCutCorrelation->GetXaxis()->SetBinLabel(11,"covElement55");
653 fhCutStatistics->GetXaxis()->SetBinLabel(12,"status");
654
655 fhCutCorrelation->GetYaxis()->SetBinLabel(1, "nClustersTPC");
656 fhCutCorrelation->GetYaxis()->SetBinLabel(2, "nClustersITS");
657 fhCutCorrelation->GetYaxis()->SetBinLabel(3, "nClustersTRD");
658 fhCutCorrelation->GetYaxis()->SetBinLabel(4, "chi2PerClusterTPC");
659 fhCutCorrelation->GetYaxis()->SetBinLabel(5, "chi2PerClusterITS");
660 fhCutCorrelation->GetYaxis()->SetBinLabel(6, "chi2PerClusterTRD");
661 fhCutCorrelation->GetYaxis()->SetBinLabel(7, "covElement11");
662 fhCutCorrelation->GetYaxis()->SetBinLabel(8, "covElement22");
663 fhCutCorrelation->GetYaxis()->SetBinLabel(9, "covElement33");
664 fhCutCorrelation->GetYaxis()->SetBinLabel(10,"covElement44");
665 fhCutCorrelation->GetYaxis()->SetBinLabel(11,"covElement55");
666 fhCutCorrelation->GetXaxis()->SetBinLabel(12,"status");
563113d0 667
668
669 // book QA histograms
670 Char_t str[256];
671 for (Int_t i=0; i<kNStepQA; i++) {
672 if (i==0) sprintf(str," ");
673 else sprintf(str,"_cut");
6cb5e116 674
db6722a5 675 fhQA[kCutClusterTPC][i] = new TH1F(Form("%s_nClustersTPC%s",GetName(),str) ,"",fhNBinsClusterTPC-1,fhBinLimClusterTPC);
676 fhQA[kCutClusterITS][i] = new TH1F(Form("%s_nClustersITS%s",GetName(),str) ,"",fhNBinsClusterITS-1,fhBinLimClusterITS);
18274103 677 fhQA[kCutClusterTRD][i] = new TH1F(Form("%s_nClustersTRD%s",GetName(),str) ,"",fhNBinsClusterTRD-1,fhBinLimClusterTRD);
db6722a5 678 fhQA[kCutChi2TPC][i] = new TH1F(Form("%s_chi2PerClusterTPC%s",GetName(),str),"",fhNBinsChi2TPC-1,fhBinLimChi2TPC);
679 fhQA[kCutChi2ITS][i] = new TH1F(Form("%s_chi2PerClusterITS%s",GetName(),str),"",fhNBinsChi2ITS-1,fhBinLimChi2ITS);
18274103 680 fhQA[kCutChi2TRD][i] = new TH1F(Form("%s_chi2PerClusterTRD%s",GetName(),str),"",fhNBinsChi2TRD-1,fhBinLimChi2TRD);
db6722a5 681 fhQA[kCutCovElement11][i] = new TH1F(Form("%s_covMatrixDiagonal11%s",GetName(),str),"",fhNBinsCovariance11-1,fhBinLimCovariance11);
682 fhQA[kCutCovElement22][i] = new TH1F(Form("%s_covMatrixDiagonal22%s",GetName(),str),"",fhNBinsCovariance22-1,fhBinLimCovariance22);
683 fhQA[kCutCovElement33][i] = new TH1F(Form("%s_covMatrixDiagonal33%s",GetName(),str),"",fhNBinsCovariance33-1,fhBinLimCovariance33);
684 fhQA[kCutCovElement44][i] = new TH1F(Form("%s_covMatrixDiagonal44%s",GetName(),str),"",fhNBinsCovariance44-1,fhBinLimCovariance44);
685 fhQA[kCutCovElement55][i] = new TH1F(Form("%s_covMatrixDiagonal55%s",GetName(),str),"",fhNBinsCovariance55-1,fhBinLimCovariance55);
563113d0 686
687 fhQA[kCutClusterTPC][i] ->SetXTitle("n TPC clusters");
688 fhQA[kCutClusterITS][i] ->SetXTitle("n ITS clusters");
18274103 689 fhQA[kCutClusterTRD][i] ->SetXTitle("n TRD clusters");
563113d0 690 fhQA[kCutChi2TPC][i] ->SetXTitle("#chi^{2} per TPC cluster");
691 fhQA[kCutChi2ITS][i] ->SetXTitle("#chi^{2} per ITS cluster");
18274103 692 fhQA[kCutChi2TRD][i] ->SetXTitle("#chi^{2} per TRD cluster");
563113d0 693 fhQA[kCutCovElement11][i] ->SetXTitle("cov 11 : #sigma_{y}^{2} (cm^{2})");
694 fhQA[kCutCovElement22][i] ->SetXTitle("cov 22 : #sigma_{z}^{2} (cm^{2})");
695 fhQA[kCutCovElement33][i] ->SetXTitle("cov 33 : #sigma_{sin(#phi)}^{2}");
696 fhQA[kCutCovElement44][i] ->SetXTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}");
6cb5e116 697 fhQA[kCutCovElement55][i] ->SetXTitle("cov 55 : #sigma_{1/p_{T}}^{2} ((c/GeV)^{2})");
563113d0 698 }
699
700 for(Int_t i=0; i<kNHist; i++) fhQA[i][1]->SetLineColor(color);
563113d0 701}
702//__________________________________________________________________________________
703void AliCFTrackQualityCuts::FillHistograms(TObject* obj, Bool_t b)
704{
705 //
706 // fill the QA histograms
707 //
563113d0 708
107a3100 709 if (!obj) return;
8edd0c2c 710 if (!obj->InheritsFrom("AliVParticle")) {
711 AliError("object must derived from AliVParticle !");
712 return;
713 }
714
715 Bool_t isESDTrack = strcmp(obj->ClassName(),"AliESDtrack") == 0 ? kTRUE : kFALSE ;
716 Bool_t isAODTrack = strcmp(obj->ClassName(),"AliAODTrack") == 0 ? kTRUE : kFALSE ;
717
718 AliESDtrack * esdTrack = 0x0 ;
719 AliAODTrack * aodTrack = 0x0 ;
720 if (isESDTrack) esdTrack = dynamic_cast<AliESDtrack*>(obj);
721 if (isAODTrack) aodTrack = dynamic_cast<AliAODTrack*>(obj);
563113d0 722
107a3100 723 // b = 0: fill histograms before cuts
724 // b = 1: fill histograms after cuts
563113d0 725
8edd0c2c 726 Int_t fIdxInt[200];
727 Int_t nClustersTPC = 0;
728 Int_t nClustersITS = 0 ;
18274103 729 Int_t nClustersTRD = 0 ;
8edd0c2c 730 Float_t chi2PerClusterTPC = 0 ;
731 Float_t chi2PerClusterITS = 0 ;
18274103 732 Float_t chi2PerClusterTRD = 0 ;
8edd0c2c 733 Double_t extCov[15]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
734
735 if (isESDTrack) {
736 nClustersTPC = esdTrack->GetTPCclusters(fIdxInt);
737 nClustersITS = esdTrack->GetITSclusters(fIdxInt);
18274103 738 nClustersTRD = esdTrack->GetTRDclusters(fIdxInt);
8edd0c2c 739 if (nClustersTPC != 0) chi2PerClusterTPC = esdTrack->GetTPCchi2() / Float_t(nClustersTPC);
18274103 740 if (nClustersITS != 0) chi2PerClusterITS = esdTrack->GetITSchi2() / Float_t(nClustersITS);
741 if (nClustersTRD != 0) chi2PerClusterTRD = esdTrack->GetTRDchi2() / Float_t(nClustersTRD);
8edd0c2c 742 esdTrack->GetExternalCovariance(extCov);
743 }
107a3100 744 fhQA[kCutClusterTPC][b]->Fill((float)nClustersTPC);
107a3100 745 fhQA[kCutChi2TPC][b]->Fill(chi2PerClusterTPC);
107a3100 746 fhQA[kCutClusterITS][b]->Fill((float)nClustersITS);
107a3100 747 fhQA[kCutChi2ITS][b]->Fill(chi2PerClusterITS);
18274103 748 fhQA[kCutClusterTRD][b]->Fill((float)nClustersTRD);
749 fhQA[kCutChi2TRD][b]->Fill(chi2PerClusterTRD);
107a3100 750 fhQA[kCutCovElement11][b]->Fill(extCov[0]);
751 fhQA[kCutCovElement22][b]->Fill(extCov[2]);
752 fhQA[kCutCovElement33][b]->Fill(extCov[5]);
753 fhQA[kCutCovElement44][b]->Fill(extCov[9]);
754 fhQA[kCutCovElement55][b]->Fill(extCov[14]);
6cb5e116 755
563113d0 756 // fill cut statistics and cut correlation histograms with information from the bitmap
757 if (b) return;
758
759 // Get the bitmap of the single cuts
760 if ( !obj ) return;
107a3100 761 SelectionBitMap(obj);
563113d0 762
763 // Number of single cuts in this class
107a3100 764 UInt_t ncuts = fBitmap->GetNbits();
563113d0 765 for(UInt_t bit=0; bit<ncuts;bit++) {
107a3100 766 if (!fBitmap->TestBitNumber(bit)) {
563113d0 767 fhCutStatistics->Fill(bit+1);
768 for (UInt_t bit2=bit; bit2<ncuts;bit2++) {
107a3100 769 if (!fBitmap->TestBitNumber(bit2))
563113d0 770 fhCutCorrelation->Fill(bit+1,bit2+1);
771 }
772 }
773 }
774}
775//__________________________________________________________________________________
776void AliCFTrackQualityCuts::SaveHistograms(const Char_t* dir) {
777 //
778 // saves the histograms in a directory (dir)
779 //
780 if(!fIsQAOn) return;
781
782 if (!dir)
783 dir = GetName();
784
785 gDirectory->mkdir(dir);
786 gDirectory->cd(dir);
787
788 gDirectory->mkdir("before_cuts");
789 gDirectory->mkdir("after_cuts");
790
791 fhCutStatistics->Write();
792 fhCutCorrelation->Write();
793
794 for (Int_t j=0; j<kNStepQA; j++) {
795 if (j==0)
796 gDirectory->cd("before_cuts");
797 else
798 gDirectory->cd("after_cuts");
799
800 for(Int_t i=0; i<kNHist; i++) fhQA[i][j]->Write();
801
802 gDirectory->cd("../");
803 }
804 gDirectory->cd("../");
805}
806//__________________________________________________________________________________
807void AliCFTrackQualityCuts::DrawHistograms(Bool_t drawLogScale)
808{
809 //
810 // draws some histograms
811 //
812 if(!fIsQAOn) return;
813
814 // pad margins
815 Float_t right = 0.03;
816 Float_t left = 0.175;
817 Float_t top = 0.03;
818 Float_t bottom = 0.175;
819
820 TCanvas* canvas1 = new TCanvas("Track_QA_Quality_1", "Track QA Quality 1", 800, 500);
821 canvas1->Divide(2, 1);
822
823 canvas1->cd(1);
824 fhCutStatistics->SetStats(kFALSE);
825 fhCutStatistics->LabelsOption("v");
826 gPad->SetLeftMargin(left);
827 gPad->SetBottomMargin(0.25);
828 gPad->SetRightMargin(right);
829 gPad->SetTopMargin(0.1);
830 fhCutStatistics->Draw();
831
832 canvas1->cd(2);
833 fhCutCorrelation->SetStats(kFALSE);
834 fhCutCorrelation->LabelsOption("v");
835 gPad->SetLeftMargin(0.30);
836 gPad->SetRightMargin(bottom);
837 gPad->SetTopMargin(0.1);
838 gPad->SetBottomMargin(0.25);
839 fhCutCorrelation->Draw("COLZ");
840
841 canvas1->SaveAs(Form("%s.eps", canvas1->GetName()));
842 canvas1->SaveAs(Form("%s.ps", canvas1->GetName()));
843
844 // -----
845
846 TCanvas* canvas2 = new TCanvas("Track_QA_Quality_2", "Track QA Quality 2", 1200, 800);
8edd0c2c 847 canvas2->Divide(2, 2);
563113d0 848
849 canvas2->cd(1);
850 gPad->SetRightMargin(right);
851 gPad->SetLeftMargin(left);
852 gPad->SetTopMargin(top);
853 gPad->SetBottomMargin(bottom);
854 fhQA[kCutClusterTPC][0]->SetStats(kFALSE);
855 fhQA[kCutClusterTPC][0]->Draw();
856 fhQA[kCutClusterTPC][1]->Draw("same");
857
858 canvas2->cd(2);
859 gPad->SetRightMargin(right);
860 gPad->SetLeftMargin(left);
861 gPad->SetTopMargin(top);
862 gPad->SetBottomMargin(bottom);
863 fhQA[kCutChi2TPC][0]->SetStats(kFALSE);
864 fhQA[kCutChi2TPC][0]->Draw();
865 fhQA[kCutChi2TPC][1]->Draw("same");
866
867 canvas2->cd(3);
868 gPad->SetRightMargin(right);
869 gPad->SetLeftMargin(left);
870 gPad->SetTopMargin(top);
871 gPad->SetBottomMargin(bottom);
563113d0 872 fhQA[kCutClusterITS][0]->SetStats(kFALSE);
873 fhQA[kCutClusterITS][0]->Draw();
874 fhQA[kCutClusterITS][1]->Draw("same");
875
8edd0c2c 876 canvas2->cd(4);
563113d0 877 gPad->SetRightMargin(right);
878 gPad->SetLeftMargin(left);
879 gPad->SetTopMargin(top);
880 gPad->SetBottomMargin(bottom);
881 fhQA[kCutChi2ITS][0]->SetStats(kFALSE);
882 fhQA[kCutChi2ITS][0]->Draw();
883 fhQA[kCutChi2ITS][1]->Draw("same");
884
563113d0 885 canvas2->SaveAs(Form("%s.eps", canvas2->GetName()));
886 canvas2->SaveAs(Form("%s.ps", canvas2->GetName()));
887
888 // -----
889
890 TCanvas* canvas3 = new TCanvas("Track_QA_Quality_3", "Track QA Quality 3", 1200, 800);
891 canvas3->Divide(3, 2);
892
893 canvas3->cd(1);
894 if(drawLogScale) gPad->SetLogy();
895 gPad->SetRightMargin(right);
896 gPad->SetLeftMargin(left);
897 gPad->SetTopMargin(top);
898 gPad->SetBottomMargin(bottom);
899 fhQA[kCutCovElement11][0]->SetStats(kFALSE);
900 fhQA[kCutCovElement11][0]->Draw();
901 fhQA[kCutCovElement11][1]->Draw("same");
902
903 canvas3->cd(2);
904 if(drawLogScale) gPad->SetLogy();
905 gPad->SetRightMargin(right);
906 gPad->SetLeftMargin(left);
907 gPad->SetTopMargin(top);
908 gPad->SetBottomMargin(bottom);
909 fhQA[kCutCovElement22][0]->SetStats(kFALSE);
910 fhQA[kCutCovElement22][0]->Draw();
911 fhQA[kCutCovElement22][1]->Draw("same");
912
913 canvas3->cd(3);
914 if(drawLogScale) gPad->SetLogy();
915 gPad->SetRightMargin(right);
916 gPad->SetLeftMargin(left);
917 gPad->SetTopMargin(top);
918 gPad->SetBottomMargin(bottom);
919 fhQA[kCutCovElement33][0]->SetStats(kFALSE);
920 fhQA[kCutCovElement33][0]->Draw();
921 fhQA[kCutCovElement33][1]->Draw("same");
922
923 canvas3->cd(4);
924 if(drawLogScale) gPad->SetLogy();
925 gPad->SetRightMargin(right);
926 gPad->SetLeftMargin(left);
927 gPad->SetTopMargin(top);
928 gPad->SetBottomMargin(bottom);
929 fhQA[kCutCovElement44][0]->SetStats(kFALSE);
930 fhQA[kCutCovElement44][0]->Draw();
931 fhQA[kCutCovElement44][1]->Draw("same");
932
933 canvas3->cd(5);
934 if(drawLogScale) gPad->SetLogy();
935 gPad->SetRightMargin(right);
936 gPad->SetLeftMargin(left);
937 gPad->SetTopMargin(top);
938 gPad->SetBottomMargin(bottom);
939 fhQA[kCutCovElement55][0]->SetStats(kFALSE);
940 fhQA[kCutCovElement55][0]->Draw();
941 fhQA[kCutCovElement55][1]->Draw("same");
942
943 canvas3->SaveAs(Form("%s.eps", canvas3->GetName()));
944 canvas3->SaveAs(Form("%s.ps", canvas3->GetName()));
945}
946//__________________________________________________________________________________
107a3100 947void AliCFTrackQualityCuts::AddQAHistograms(TList *qaList) {
563113d0 948 //
949 // saves the histograms in a TList
950 //
107a3100 951 DefineHistograms();
563113d0 952
953 qaList->Add(fhCutStatistics);
954 qaList->Add(fhCutCorrelation);
955
956 for (Int_t j=0; j<kNStepQA; j++) {
957 for(Int_t i=0; i<kNHist; i++)
958 qaList->Add(fhQA[i][j]);
959 }
960}