]> git.uio.no Git - u/mrichter/AliRoot.git/blame - CORRFW/AliCFTrackIsPrimaryCuts.cxx
git://git.uio.no / u / mrichter / AliRoot.git / blame
? search:
summary | shortlog | log | commit | commitdiff | tree
blob | blame (incremental) | history | HEAD
some cleanup+ fix QA histos (I.Kraus)
[u/mrichter/AliRoot.git] / CORRFW / AliCFTrackIsPrimaryCuts.cxx
CommitLineData
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 AliCFTrackIsPrimaryCut is designed to select reconstructed tracks
17// with a small impact parameter and tracks which are (not) daughters of kink
18// decays and to provide corresponding QA histograms.
19// This class inherits from the Analysis' Framework abstract base class
20// AliAnalysisCuts and is a part of the Correction Framework.
21// This class acts on single, reconstructed tracks, it is applicable on
22// ESD and AOD data.
23// It mainly consists of a IsSelected function that returns a boolean.
24// This function checks whether the considered track passes a set of cuts:
25// - distance to main vertex in units of sigma (resolution)
26// - require that the dca calculation doesn't fail
27// - accept or not accept daughter tracks of kink decays
28//
29// The cut values for these cuts are set with the corresponding set functions.
30// All cut classes provided by the correction framework are supposed to be
31// added in the Analysis Framwork's class AliAnalysisFilter and applied by
32// the filter via a loop.
33//
34// author: I. Kraus (Ingrid.Kraus@cern.ch)
35// idea taken form
36// AliESDtrackCuts writte by Jan Fiete Grosse-Oetringhaus and
37// AliRsnDaughterCut class written by A. Pulvirenti.
38
39#include <TCanvas.h>
40#include <TDirectory.h>
41#include <TBits.h>
42#include <TH2.h>
43#include <AliESDtrack.h>
44#include <AliLog.h>
45#include "AliCFTrackIsPrimaryCuts.h"
46
47ClassImp(AliCFTrackIsPrimaryCuts)
48
49//__________________________________________________________________________________
50AliCFTrackIsPrimaryCuts::AliCFTrackIsPrimaryCuts() :
51 AliCFCutBase(),
52 fNSigmaToVertexMax(0),
53 fRequireSigmaToVertex(0),
54 fAcceptKinkDaughters(0),
55 fhCutStatistics(0),
56 fhCutCorrelation(0),
57 fBitmap(0x0),
58 fhNBinsNSigma(0),
59 fhNBinsRequireSigma(0),
60 fhNBinsAcceptKink(0),
61 fhNBinsDcaXY(0),
62 fhNBinsDcaZ(0),
63 fhNBinsDcaXYnorm(0),
64 fhNBinsDcaZnorm(0),
65 fhBinLimNSigma(0x0),
66 fhBinLimRequireSigma(0x0),
67 fhBinLimAcceptKink(0x0),
68 fhBinLimDcaXY(0x0),
69 fhBinLimDcaZ(0x0),
70 fhBinLimDcaXYnorm(0x0),
71 fhBinLimDcaZnorm(0x0)
72{
73 //
74 // Default constructor
75 //
76 fBitmap=new TBits(0);
77 Initialise();
78}
79//__________________________________________________________________________________
80AliCFTrackIsPrimaryCuts::AliCFTrackIsPrimaryCuts(Char_t* name, Char_t* title) :
81 AliCFCutBase(name,title),
82 fNSigmaToVertexMax(0),
83 fRequireSigmaToVertex(0),
84 fAcceptKinkDaughters(0),
85 fhCutStatistics(0),
86 fhCutCorrelation(0),
87 fBitmap(0x0),
88 fhNBinsNSigma(0),
89 fhNBinsRequireSigma(0),
90 fhNBinsAcceptKink(0),
91 fhNBinsDcaXY(0),
92 fhNBinsDcaZ(0),
93 fhNBinsDcaXYnorm(0),
94 fhNBinsDcaZnorm(0),
95 fhBinLimNSigma(0x0),
96 fhBinLimRequireSigma(0x0),
97 fhBinLimAcceptKink(0x0),
98 fhBinLimDcaXY(0x0),
99 fhBinLimDcaZ(0x0),
100 fhBinLimDcaXYnorm(0x0),
101 fhBinLimDcaZnorm(0x0)
102{
103 //
104 // Constructor
105 //
106 fBitmap=new TBits(0);
107 Initialise();
108}
109//__________________________________________________________________________________
110AliCFTrackIsPrimaryCuts::AliCFTrackIsPrimaryCuts(const AliCFTrackIsPrimaryCuts& c) :
111 AliCFCutBase(c),
112 fNSigmaToVertexMax(c.fNSigmaToVertexMax),
113 fRequireSigmaToVertex(c.fRequireSigmaToVertex),
114 fAcceptKinkDaughters(c.fAcceptKinkDaughters),
115 fhCutStatistics(c.fhCutStatistics),
116 fhCutCorrelation(c.fhCutCorrelation),
117 fBitmap(c.fBitmap),
118 fhNBinsNSigma(c.fhNBinsNSigma),
119 fhNBinsRequireSigma(c.fhNBinsRequireSigma),
120 fhNBinsAcceptKink(c.fhNBinsAcceptKink),
121 fhNBinsDcaXY(c.fhNBinsDcaXY),
122 fhNBinsDcaZ(c.fhNBinsDcaZ),
123 fhNBinsDcaXYnorm(c.fhNBinsDcaXYnorm),
124 fhNBinsDcaZnorm(c.fhNBinsDcaZnorm),
125 fhBinLimNSigma(c.fhBinLimNSigma),
126 fhBinLimRequireSigma(c.fhBinLimRequireSigma),
127 fhBinLimAcceptKink(c.fhBinLimAcceptKink),
128 fhBinLimDcaXY(c.fhBinLimDcaXY),
129 fhBinLimDcaZ(c.fhBinLimDcaZ),
130 fhBinLimDcaXYnorm(c.fhBinLimDcaXYnorm),
131 fhBinLimDcaZnorm(c.fhBinLimDcaZnorm)
132{
133 //
134 // copy constructor
135 //
136 ((AliCFTrackIsPrimaryCuts &) c).Copy(*this);
137}
138//__________________________________________________________________________________
139AliCFTrackIsPrimaryCuts& AliCFTrackIsPrimaryCuts::operator=(const AliCFTrackIsPrimaryCuts& c)
140{
141 //
142 // Assignment operator
143 //
144 if (this != &c) {
145 AliCFCutBase::operator=(c) ;
146 fNSigmaToVertexMax = c.fNSigmaToVertexMax ;
147 fRequireSigmaToVertex = c.fRequireSigmaToVertex ;
148 fAcceptKinkDaughters = c.fAcceptKinkDaughters ;
149 fhCutStatistics = c.fhCutStatistics ;
150 fhCutCorrelation = c.fhCutCorrelation ;
151 fBitmap = c.fBitmap;
152 fhNBinsNSigma = c.fhNBinsNSigma;
153 fhNBinsRequireSigma = c.fhNBinsRequireSigma;
154 fhNBinsAcceptKink = c.fhNBinsAcceptKink;
155 fhNBinsDcaXY = c.fhNBinsDcaXY;
156 fhNBinsDcaZ = c.fhNBinsDcaZ;
157 fhNBinsDcaXYnorm = c.fhNBinsDcaXYnorm;
158 fhNBinsDcaZnorm = c.fhNBinsDcaZnorm;
159 fhBinLimNSigma = c.fhBinLimNSigma;
160 fhBinLimRequireSigma = c.fhBinLimRequireSigma;
161 fhBinLimAcceptKink = c.fhBinLimAcceptKink;
162 fhBinLimDcaXY = c.fhBinLimDcaXY;
163 fhBinLimDcaZ = c.fhBinLimDcaZ;
164 fhBinLimDcaXYnorm = c.fhBinLimDcaXYnorm;
165 fhBinLimDcaZnorm = c.fhBinLimDcaZnorm;
166
167 for (Int_t i=0; i<c.kNHist; i++){
168 for (Int_t j=0; j<c.kNStepQA; j++){
169 if(c.fhQA[i][j]) fhQA[i][j] = (TH1F*)c.fhQA[i][j]->Clone();
170 if(c.fhDcaXYvsDcaZ[j]) fhDcaXYvsDcaZ[j] = (TH2F*)c.fhDcaXYvsDcaZ[j]->Clone();
171 if(c.fhDcaXYvsDcaZnorm[j]) fhDcaXYvsDcaZnorm[j] = (TH2F*)c.fhDcaXYvsDcaZnorm[j]->Clone();
172 }
173 }
174
175 ((AliCFTrackIsPrimaryCuts &) c).Copy(*this);
176 }
177 return *this;
178}
179//__________________________________________________________________________________
180AliCFTrackIsPrimaryCuts::~AliCFTrackIsPrimaryCuts()
181{
182 //
183 // destructor
184 //
185 if (fhCutStatistics) delete fhCutStatistics;
186 if (fhCutCorrelation) delete fhCutCorrelation;
187
188 for (Int_t j=0; j<kNStepQA; j++){
189 for (Int_t i=0; i<kNHist; i++){
190 if(fhQA[i][j]) delete fhQA[i][j];
191 }
192 if(fhDcaXYvsDcaZ[j]) delete fhDcaXYvsDcaZ[j];
193 if(fhDcaXYvsDcaZnorm[j]) delete fhDcaXYvsDcaZnorm[j];
194 }
195
196 if (fBitmap) delete fBitmap;
197
198 if(fhBinLimNSigma) delete fhBinLimNSigma;
199 if(fhBinLimRequireSigma) delete fhBinLimRequireSigma;
200 if(fhBinLimAcceptKink) delete fhBinLimAcceptKink;
201 if(fhBinLimDcaXY) delete fhBinLimDcaXY;
202 if(fhBinLimDcaZ) delete fhBinLimDcaZ;
203 if(fhBinLimDcaXYnorm) delete fhBinLimDcaXYnorm;
204 if(fhBinLimDcaZnorm) delete fhBinLimDcaZnorm;
205}
206//__________________________________________________________________________________
207void AliCFTrackIsPrimaryCuts::Initialise()
208{
209 //
210 // sets everything to zero
211 //
212 fNSigmaToVertexMax = 0;
213 fRequireSigmaToVertex = 0;
214 fAcceptKinkDaughters = 0;
215
216 SetMaxNSigmaToVertex();
217 SetRequireSigmaToVertex();
218
219 for (Int_t j=0; j<kNStepQA; j++) {
220 for (Int_t i=0; i<kNHist; i++){
221 fhQA[i][j] = 0x0;
222 }
223 fhDcaXYvsDcaZ[j] = 0x0;
224 fhDcaXYvsDcaZnorm[j] = 0x0;
225 }
226 fhCutStatistics = 0;
227 fhCutCorrelation = 0;
228
229 //set default bining for QA histograms
230 SetHistogramBins(kCutNSigmaToVertex,500,0,50);
231 SetHistogramBins(kCutRequireSigmaToVertex,2,-0.5,1.5);
232 SetHistogramBins(kCutAcceptKinkDaughters,2,-0.5,1.5);
233 SetHistogramBins(kDcaXY,500,-10,10);
234 SetHistogramBins(kDcaZ,500,-10,10);
235 SetHistogramBins(kDcaXYnorm,500,-10,10);
236 SetHistogramBins(kDcaZnorm,500,-10,10);
237}
238//__________________________________________________________________________________
239void AliCFTrackIsPrimaryCuts::Copy(TObject &c) const
240{
241 //
242 // Copy function
243 //
244 AliCFTrackIsPrimaryCuts& target = (AliCFTrackIsPrimaryCuts &) c;
245
246 target.Initialise();
247
248 if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone();
249 if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone();
250
251 for (Int_t j=0; j<kNStepQA; j++){
252 for (Int_t i=0; i<kNHist; i++){
253 if(fhQA[i][j]) target.fhQA[i][j] = (TH1F*)fhQA[i][j]->Clone();
254
255 }
256 if(fhDcaXYvsDcaZ[j]) target.fhDcaXYvsDcaZ[j] = (TH2F*)fhDcaXYvsDcaZ[j]->Clone();
257 if(fhDcaXYvsDcaZnorm[j]) target.fhDcaXYvsDcaZnorm[j] = (TH2F*)fhDcaXYvsDcaZnorm[j]->Clone();
258 }
259
260 TNamed::Copy(c);
261}
262//____________________________________________________________________
263Float_t AliCFTrackIsPrimaryCuts::GetSigmaToVertex(AliESDtrack* esdTrack) const
264{
265 //
266 // Calculates the number of sigma to the vertex.
267 //
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 lower or equal zero!");
274 bCov[0]=0; bCov[2]=0;
275 }
276 bRes[0] = TMath::Sqrt(bCov[0]);
277 bRes[1] = TMath::Sqrt(bCov[2]);
278
279 // -----------------------------------
280 // How to get to a n-sigma cut?
281 //
282 // The accumulated statistics from 0 to d is
283 //
284 // -> Erf(d/Sqrt(2)) for a 1-dim gauss (d = n_sigma)
285 // -> 1 - Exp(-d**2) for a 2-dim gauss (d*d = dx*dx + dy*dy != n_sigma)
286 //
287 // It means that for a 2-dim gauss: n_sigma(d) = Sqrt(2)*ErfInv(1 - Exp((-x**2)/2)
288 // Can this be expressed in a different way?
289
290 if (bRes[0] == 0 || bRes[1] ==0)
291 return -1;
292
293 Float_t d = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2));
294
295 // stupid rounding problem screws up everything:
296 // if d is too big, TMath::Exp(...) gets 0, and TMath::ErfInverse(1) that should be infinite, gets 0 :(
297 if (TMath::Exp(-d * d / 2) < 1e-10)
298 return 1000;
299
300 d = TMath::ErfInverse(1 - TMath::Exp(-d * d / 2)) * TMath::Sqrt(2);
301 return d;
302}
303//__________________________________________________________________________________
304void AliCFTrackIsPrimaryCuts::GetBitMap(TObject* obj, TBits *bitmap) {
305 //
306 // retrieve the pointer to the bitmap
307 //
308 bitmap = SelectionBitMap(obj);
309}
310//__________________________________________________________________________________
311TBits* AliCFTrackIsPrimaryCuts::SelectionBitMap(TObject* obj)
312{
313 //
314 // test if the track passes the single cuts
315 // and store the information in a bitmap
316 //
317
318 // bitmap stores the decision of each single cut
319 for(Int_t i=0; i<kNCuts; i++)fBitmap->SetBitNumber(i,kFALSE);
320
321 // cast TObject into ESDtrack
322 AliESDtrack* esdTrack = dynamic_cast<AliESDtrack *>(obj);
323 if ( !esdTrack ) return fBitmap ;
324
325
326 for(Int_t i=0; i<kNCuts; i++)fBitmap->SetBitNumber(i,kTRUE);
327
328 // get the track to vertex parameter
329 Float_t nSigmaToVertex = GetSigmaToVertex(esdTrack);
330
331 // fill the bitmap
332 Int_t iCutBit = 0;
333 if (nSigmaToVertex > fNSigmaToVertexMax)
334 fBitmap->SetBitNumber(iCutBit,kFALSE);
335 iCutBit++;
336 if (nSigmaToVertex<0 && fRequireSigmaToVertex)
337 fBitmap->SetBitNumber(iCutBit,kFALSE);
338 iCutBit++;
339 if (!fAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0)
340 fBitmap->SetBitNumber(iCutBit,kFALSE);
341
342 return fBitmap;
343}
344//__________________________________________________________________________________
345Bool_t AliCFTrackIsPrimaryCuts::IsSelected(TObject* obj) {
346 //
347 // loops over decisions of single cuts and returns if the track is accepted
348 //
349 TBits* bitmap = SelectionBitMap(obj);
350
351 Bool_t isSelected = kTRUE;
352
353 for (UInt_t icut=0; icut<bitmap->GetNbits();icut++)
354 if(!bitmap->TestBitNumber(icut)) isSelected = kFALSE;
355
356 return isSelected;
357}
358//__________________________________________________________________________________
359void AliCFTrackIsPrimaryCuts::Init() {
360 //
361 // initialises all histograms and the TList which holds the histograms
362 //
363 if(fIsQAOn)
364 DefineHistograms();
365}
366//__________________________________________________________________________________
367void AliCFTrackIsPrimaryCuts::SetHistogramBins(Int_t index, Int_t nbins, Double_t *bins)
368{
369 //
370 // variable bin size
371 //
372 if(!fIsQAOn) return;
373
374 switch(index){
375 case kCutNSigmaToVertex:
376 fhNBinsNSigma=nbins;
377 fhBinLimNSigma=new Double_t[nbins+1];
378 for(Int_t i=0;i<nbins+1;i++)fhBinLimNSigma[i]=bins[i];
379 break;
380
381 case kCutRequireSigmaToVertex:
382 fhNBinsRequireSigma=nbins;
383 fhBinLimRequireSigma=new Double_t[nbins+1];
384 for(Int_t i=0;i<nbins+1;i++)fhBinLimRequireSigma[i]=bins[i];
385 break;
386
387 case kCutAcceptKinkDaughters:
388 fhNBinsAcceptKink=nbins;
389 fhBinLimAcceptKink=new Double_t[nbins+1];
390 for(Int_t i=0;i<nbins+1;i++)fhBinLimAcceptKink[i]=bins[i];
391 break;
392
393 case kDcaXY:
394 fhNBinsDcaXY=nbins;
395 fhBinLimDcaXY=new Double_t[nbins+1];
396 for(Int_t i=0;i<nbins+1;i++)fhBinLimDcaXY[i]=bins[i];
397 break;
398
399 case kDcaZ:
400 fhNBinsDcaZ=nbins;
401 fhBinLimDcaZ=new Double_t[nbins+1];
402 for(Int_t i=0;i<nbins+1;i++)fhBinLimDcaZ[i]=bins[i];
403 break;
404
405 case kDcaXYnorm:
406 fhNBinsDcaXYnorm=nbins;
407 fhBinLimDcaXYnorm=new Double_t[nbins+1];
408 for(Int_t i=0;i<nbins+1;i++)fhBinLimDcaXYnorm[i]=bins[i];
409 break;
410
411 case kDcaZnorm:
412 fhNBinsDcaZnorm=nbins;
413 fhBinLimDcaZnorm=new Double_t[nbins+1];
414 for(Int_t i=0;i<nbins+1;i++)fhBinLimDcaZnorm[i]=bins[i];
415 break;
416 }
417}
418//__________________________________________________________________________________
419void AliCFTrackIsPrimaryCuts::SetHistogramBins(Int_t index, Int_t nbins, Double_t xmin, Double_t xmax)
420{
421 //
422 // fixed bin size
423 //
424 if(!fIsQAOn) return;
425
426 switch(index){
427 case kCutNSigmaToVertex:
428 fhNBinsNSigma=nbins;
429 fhBinLimNSigma=new Double_t[nbins+1];
430 for(Int_t i=0;i<nbins+1;i++)fhBinLimNSigma[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
431 break;
432
433 case kCutRequireSigmaToVertex:
434 fhNBinsRequireSigma=nbins;
435 fhBinLimRequireSigma=new Double_t[nbins+1];
436 for(Int_t i=0;i<nbins+1;i++)fhBinLimRequireSigma[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
437 break;
438
439 case kCutAcceptKinkDaughters:
440 fhNBinsAcceptKink=nbins;
441 fhBinLimAcceptKink=new Double_t[nbins+1];
442 for(Int_t i=0;i<nbins+1;i++)fhBinLimAcceptKink[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
443 break;
444
445 case kDcaXY:
446 fhNBinsDcaXY=nbins;
447 fhBinLimDcaXY=new Double_t[nbins+1];
448 for(Int_t i=0;i<nbins+1;i++)fhBinLimDcaXY[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
449 break;
450
451 case kDcaZ:
452 fhNBinsDcaZ=nbins;
453 fhBinLimDcaZ=new Double_t[nbins+1];
454 for(Int_t i=0;i<nbins+1;i++)fhBinLimDcaZ[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
455 break;
456
457 case kDcaXYnorm:
458 fhNBinsDcaXYnorm=nbins;
459 fhBinLimDcaXYnorm=new Double_t[nbins+1];
460 for(Int_t i=0;i<nbins+1;i++)fhBinLimDcaXYnorm[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
461 break;
462
463 case kDcaZnorm:
464 fhNBinsDcaZnorm=nbins;
465 fhBinLimDcaZnorm=new Double_t[nbins+1];
466 for(Int_t i=0;i<nbins+1;i++)fhBinLimDcaZnorm[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
467 break;
468 }
469}
470//__________________________________________________________________________________
471 void AliCFTrackIsPrimaryCuts::DefineHistograms() {
472 //
473 // histograms for cut variables, cut statistics and cut correlations
474 //
475
476 Int_t color = 2;
477
478 // book cut statistics and cut correlation histograms
479 fhCutStatistics = new TH1F(Form("%s_cut_statistics",GetName()), Form("%s cut statistics",GetName()), kNCuts,0.5,kNCuts+0.5);
480 fhCutStatistics->SetLineWidth(2);
481 fhCutStatistics->GetXaxis()->SetBinLabel(1,"n dca");
482 fhCutStatistics->GetXaxis()->SetBinLabel(2,"require dca");
483 fhCutStatistics->GetXaxis()->SetBinLabel(3,"kink daughter");
484
485 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);
486 fhCutCorrelation->SetLineWidth(2);
487 fhCutCorrelation->GetXaxis()->SetBinLabel(1,"n dca");
488 fhCutCorrelation->GetXaxis()->SetBinLabel(2,"require dca");
489 fhCutCorrelation->GetXaxis()->SetBinLabel(3,"kink daughter");
490
491 fhCutCorrelation->GetYaxis()->SetBinLabel(1,"n dca");
492 fhCutCorrelation->GetYaxis()->SetBinLabel(2,"require dca");
493 fhCutCorrelation->GetYaxis()->SetBinLabel(3,"kink daughter");
494
495 // book QA histograms
496 Char_t str[256];
497 for (Int_t i=0; i<kNStepQA; i++) {
498 if (i==0) sprintf(str," ");
499 else sprintf(str,"_cut");
500
501 fhDcaXYvsDcaZ[i] = new TH2F(Form("%s_dcaXYvsDcaZ%s",GetName(),str),"",200,-10,10,200,-10,10);
502 fhDcaXYvsDcaZnorm[i] = new TH2F(Form("%s_dcaXYvsDcaZnorm%s",GetName(),str),"",200,-10,10,200,-10,10);
503
504 fhQA[kCutNSigmaToVertex][i] = new TH1F(Form("%s_nSigmaToVertex%s",GetName(),str),"",fhNBinsNSigma,fhBinLimNSigma);
505 fhQA[kCutRequireSigmaToVertex][i] = new TH1F(Form("%s_requireSigmaToVertex%s",GetName(),str),"",fhNBinsRequireSigma,fhBinLimRequireSigma);
506 fhQA[kCutAcceptKinkDaughters][i] = new TH1F(Form("%s_acceptKinkDaughters%s",GetName(),str),"",fhNBinsAcceptKink,fhBinLimAcceptKink);
507 fhQA[kDcaXY][i] = new TH1F(Form("%s_dcaXY%s",GetName(),str),"",fhNBinsDcaXY,fhBinLimDcaXY);
508 fhQA[kDcaZ][i] = new TH1F(Form("%s_dcaZ%s",GetName(),str),"",fhNBinsDcaZ,fhBinLimDcaZ);
509 fhQA[kDcaXYnorm][i] = new TH1F(Form("%s_dcaXYnorm%s",GetName(),str),"",fhNBinsDcaXYnorm,fhBinLimDcaXYnorm);
510 fhQA[kDcaZnorm][i] = new TH1F(Form("%s_dcaZnorm%s",GetName(),str),"",fhNBinsDcaZnorm,fhBinLimDcaZnorm);
511
512 fhDcaXYvsDcaZ[i]->SetXTitle("impact par. d_{z}");
513 fhDcaXYvsDcaZ[i]->SetYTitle("impact par. d_{xy}");
514 fhDcaXYvsDcaZnorm[i]->SetXTitle("norm. impact par. d_{z} / #sigma_{z}");
515 fhDcaXYvsDcaZnorm[i]->SetYTitle("norm. impact par. d_{xy} / #sigma_{xy}");
516
517 fhQA[kCutNSigmaToVertex][i]->SetXTitle("n #sigma to vertex");
518 fhQA[kCutRequireSigmaToVertex][i]->SetXTitle("require #sigma to vertex");
519 fhQA[kCutAcceptKinkDaughters][i]->SetXTitle("accept kink daughters");
520 fhQA[kDcaXY][i]->SetXTitle("impact par. d_{xy}");
521 fhQA[kDcaZ][i]->SetXTitle("impact par. d_{z}");
522 fhQA[kDcaXYnorm][i]->SetXTitle("norm. impact par. d_{xy} / #sigma_{xy}");
523 fhQA[kDcaZnorm][i]->SetXTitle("norm. impact par. d_{z} / #sigma_{z}");
524 }
525
526 for(Int_t i=0; i<kNHist; i++) fhQA[i][1]->SetLineColor(color);
527
528}
529//__________________________________________________________________________________
530void AliCFTrackIsPrimaryCuts::FillHistograms(TObject* obj, Bool_t f)
531{
532 //
533 // fill the QA histograms
534 //
535 if(!fIsQAOn) return;
536
537 // cast TObject into ESDtrack
538 AliESDtrack* esdTrack = dynamic_cast<AliESDtrack *>(obj);
539 if ( !esdTrack ) return;
540
541 // index = 0: fill histograms before cuts
542 // index = 1: fill histograms after cuts
543 Int_t index = -1;
544 index = ((f) ? 1 : 0);
545
546 Float_t b[2];
547 Float_t bRes[2];
548 Float_t bCov[3];
549 esdTrack->GetImpactParameters(b,bCov);
550 if (bCov[0]<=0 || bCov[2]<=0) {
551 AliDebug(1, "Estimated b resolution lower or equal zero!");
552 bCov[0]=0; bCov[2]=0;
553 }
554 bRes[0] = TMath::Sqrt(bCov[0]);
555 bRes[1] = TMath::Sqrt(bCov[2]);
556
557 fhQA[kDcaZ][index]->Fill(b[1]);
558 fhQA[kDcaXY][index]->Fill(b[0]);
559 fhDcaXYvsDcaZ[index]->Fill(b[1],b[0]);
560
561 if (bRes[0]!=0 && bRes[1]!=0) {
562 fhQA[kDcaZnorm][index]->Fill(b[1]/bRes[1]);
563 fhQA[kDcaXYnorm][index]->Fill(b[0]/bRes[0]);
564 fhDcaXYvsDcaZnorm[index]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
565 }
566
567 // getting the track to vertex parameters
568 Float_t nSigmaToVertex = GetSigmaToVertex(esdTrack);
569
570 fhQA[kCutNSigmaToVertex][index]->Fill(nSigmaToVertex);
571 if (nSigmaToVertex<0 && fRequireSigmaToVertex) fhQA[kCutRequireSigmaToVertex][index]->Fill(0.);
572 if (!(nSigmaToVertex<0 && fRequireSigmaToVertex)) fhQA[kCutRequireSigmaToVertex][index]->Fill(1.);
573
574
575 if (!fAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0) fhQA[kCutAcceptKinkDaughters][index]->Fill(0.);
576 if (!(!fAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0)) fhQA[kCutAcceptKinkDaughters][index]->Fill(0.);
577
578 // fill cut statistics and cut correlation histograms with information from the bitmap
579 if (f) return;
580
581 // Get the bitmap of the single cuts
582 if ( !obj ) return;
583 TBits* bitmap = SelectionBitMap(obj);
584
585 // Number of single cuts in this class
586 UInt_t ncuts = bitmap->GetNbits();
587 for(UInt_t bit=0; bit<ncuts;bit++) {
588 if (!bitmap->TestBitNumber(bit)) {
589 fhCutStatistics->Fill(bit+1);
590 for (UInt_t bit2=bit; bit2<ncuts;bit2++) {
591 if (!bitmap->TestBitNumber(bit2))
592 fhCutCorrelation->Fill(bit+1,bit2+1);
593 }
594 }
595 }
596}
597//__________________________________________________________________________________
598void AliCFTrackIsPrimaryCuts::SaveHistograms(const Char_t* dir) {
599 //
600 // saves the histograms in a directory (dir)
601 //
602 if(!fIsQAOn) return;
603
604 if (!dir)
605 dir = GetName();
606
607 gDirectory->mkdir(dir);
608 gDirectory->cd(dir);
609
610 gDirectory->mkdir("before_cuts");
611 gDirectory->mkdir("after_cuts");
612
613 fhCutStatistics->Write();
614 fhCutCorrelation->Write();
615
616 for (Int_t j=0; j<kNStepQA; j++) {
617 if (j==0)
618 gDirectory->cd("before_cuts");
619 else
620 gDirectory->cd("after_cuts");
621
622 fhDcaXYvsDcaZ[j] ->Write();
623 fhDcaXYvsDcaZnorm[j]->Write();
624
625 for(Int_t i=0; i<kNHist; i++) fhQA[i][j]->Write();
626
627 gDirectory->cd("../");
628 }
629 gDirectory->cd("../");
630}
631//__________________________________________________________________________________
632void AliCFTrackIsPrimaryCuts::DrawHistograms()
633{
634 //
635 // draws some histograms
636 //
637 if(!fIsQAOn) return;
638
639 // pad margins
640 Float_t right = 0.03;
641 Float_t left = 0.175;
642 Float_t top = 0.03;
643 Float_t bottom = 0.175;
644
645 TCanvas* canvas1 = new TCanvas("Track_QA_Primary_1", "Track QA Primary 1", 800, 500);
646 canvas1->Divide(2, 1);
647
648 canvas1->cd(1);
649 fhCutStatistics->SetStats(kFALSE);
650 fhCutStatistics->LabelsOption("v");
651 gPad->SetLeftMargin(left);
652 gPad->SetBottomMargin(0.25);
653 gPad->SetRightMargin(right);
654 gPad->SetTopMargin(0.1);
655 fhCutStatistics->Draw();
656
657 canvas1->cd(2);
658 fhCutCorrelation->SetStats(kFALSE);
659 fhCutCorrelation->LabelsOption("v");
660 gPad->SetLeftMargin(0.30);
661 gPad->SetRightMargin(bottom);
662 gPad->SetTopMargin(0.1);
663 gPad->SetBottomMargin(0.25);
664 fhCutCorrelation->Draw("COLZ");
665
666 canvas1->SaveAs(Form("%s.eps", canvas1->GetName()));
667 canvas1->SaveAs(Form("%s.ps", canvas1->GetName()));
668
669 // -----
670
671 TCanvas* canvas2 = new TCanvas("Track_QA_Primary_2", "Track QA Primary 2", 800, 800);
672 canvas2->Divide(2, 2);
673
674 canvas2->cd(1);
675 gPad->SetRightMargin(right);
676 gPad->SetLeftMargin(left);
677 gPad->SetTopMargin(top);
678 gPad->SetBottomMargin(bottom);
679 fhQA[kDcaXY][0]->SetStats(kFALSE);
680 fhQA[kDcaXY][0]->Draw();
681 fhQA[kDcaXY][1]->Draw("same");
682
683 canvas2->cd(2);
684 gPad->SetRightMargin(right);
685 gPad->SetLeftMargin(left);
686 gPad->SetTopMargin(top);
687 gPad->SetBottomMargin(bottom);
688 fhQA[kDcaZ][0]->SetStats(kFALSE);
689 fhQA[kDcaZ][0]->Draw();
690 fhQA[kDcaZ][1]->Draw("same");
691
692 canvas2->cd(3);
693// fhDXYvsDZ[0]->SetStats(kFALSE);
694 gPad->SetLogz();
695 gPad->SetLeftMargin(bottom);
696 gPad->SetTopMargin(0.1);
697 gPad->SetBottomMargin(bottom);
698 gPad->SetRightMargin(0.2);
699 fhDcaXYvsDcaZ[0]->Draw("COLZ");
700
701 canvas2->cd(4);
702// fhDXYvsDZ[1]->SetStats(kFALSE);
703 gPad->SetLogz();
704 gPad->SetLeftMargin(bottom);
705 gPad->SetTopMargin(0.1);
706 gPad->SetBottomMargin(bottom);
707 gPad->SetRightMargin(0.2);
708 fhDcaXYvsDcaZ[1]->Draw("COLZ");
709
710 canvas2->SaveAs(Form("%s.eps", canvas2->GetName()));
711 canvas2->SaveAs(Form("%s.ps", canvas2->GetName()));
712
713 // -----
714
715 TCanvas* canvas3 = new TCanvas("Track_QA_Primary_3", "Track QA Primary 3", 800, 800);
716 canvas3->Divide(2, 2);
717
718 canvas3->cd(1);
719 gPad->SetRightMargin(right);
720 gPad->SetLeftMargin(left);
721 gPad->SetTopMargin(top);
722 gPad->SetBottomMargin(bottom);
723 fhQA[kDcaXYnorm][0]->SetStats(kFALSE);
724 fhQA[kDcaXYnorm][0]->Draw();
725 fhQA[kDcaXYnorm][1]->Draw("same");
726
727 canvas3->cd(2);
728 gPad->SetRightMargin(right);
729 gPad->SetLeftMargin(left);
730 gPad->SetTopMargin(top);
731 gPad->SetBottomMargin(bottom);
732 fhQA[kDcaZnorm][0]->SetStats(kFALSE);
733 fhQA[kDcaZnorm][0]->Draw();
734 fhQA[kDcaZnorm][1]->Draw("same");
735
736 canvas3->cd(3);
737// fhDXYvsDZ[0]->SetStats(kFALSE);
738 gPad->SetLogz();
739 gPad->SetLeftMargin(bottom);
740 gPad->SetTopMargin(0.1);
741 gPad->SetBottomMargin(bottom);
742 gPad->SetRightMargin(0.2);
743 fhDcaXYvsDcaZnorm[0]->Draw("COLZ");
744
745 canvas3->cd(4);
746// fhDXYvsDZ[1]->SetStats(kFALSE);
747 gPad->SetLogz();
748 gPad->SetLeftMargin(bottom);
749 gPad->SetTopMargin(0.1);
750 gPad->SetBottomMargin(bottom);
751 gPad->SetRightMargin(0.2);
752 fhDcaXYvsDcaZnorm[1]->Draw("COLZ");
753
754 canvas3->SaveAs(Form("%s.eps", canvas3->GetName()));
755 canvas3->SaveAs(Form("%s.ps", canvas3->GetName()));
756
757 // -----
758
759 TCanvas* canvas4 = new TCanvas("Track_QA_Primary_4", "Track QA Primary 4", 1200, 500);
760 canvas4->Divide(3, 1);
761
762 canvas4->cd(1);
763 gPad->SetRightMargin(right);
764 gPad->SetLeftMargin(left);
765 gPad->SetTopMargin(top);
766 gPad->SetBottomMargin(bottom);
767 fhQA[kCutNSigmaToVertex][0]->SetStats(kFALSE);
768 fhQA[kCutNSigmaToVertex][0]->Draw();
769 fhQA[kCutNSigmaToVertex][1]->Draw("same");
770
771 canvas4->cd(2);
772 gPad->SetRightMargin(right);
773 gPad->SetLeftMargin(left);
774 gPad->SetTopMargin(top);
775 gPad->SetBottomMargin(bottom);
776 fhQA[kCutRequireSigmaToVertex][0]->SetStats(kFALSE);
777 fhQA[kCutRequireSigmaToVertex][0]->Draw();
778 fhQA[kCutRequireSigmaToVertex][1]->Draw("same");
779
780 canvas4->cd(3);
781 gPad->SetRightMargin(right);
782 gPad->SetLeftMargin(left);
783 gPad->SetTopMargin(top);
784 gPad->SetBottomMargin(bottom);
785 fhQA[kCutAcceptKinkDaughters][0]->SetStats(kFALSE);
786 fhQA[kCutAcceptKinkDaughters][0]->Draw();
787 fhQA[kCutAcceptKinkDaughters][1]->Draw("same");
788
789 canvas4->SaveAs(Form("%s.eps", canvas4->GetName()));
790 canvas4->SaveAs(Form("%s.ps", canvas4->GetName()));
791}
792//__________________________________________________________________________________
793void AliCFTrackIsPrimaryCuts::AddQAHistograms(TList *qaList) const {
794 //
795 // saves the histograms in a TList
796 //
797 if(!fIsQAOn) return;
798
799 qaList->Add(fhCutStatistics);
800 qaList->Add(fhCutCorrelation);
801
802 for (Int_t j=0; j<kNStepQA; j++) {
803 qaList->Add(fhDcaXYvsDcaZ[j]);
804 qaList->Add(fhDcaXYvsDcaZnorm[j]);
805 for(Int_t i=0; i<kNHist; i++)
806 qaList->Add(fhQA[i][j]);
807 }
808}