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d756027f 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//-----------------------------------------------------------------------
17// This class stores QA variables as function of pT for different type
18// of tracks and track selection criteria
19// Output: Histograms for different set of cuts
20//-----------------------------------------------------------------------
0e8a59df 21// Author : M. Verweij - UU
d756027f 22//-----------------------------------------------------------------------
23
24#ifndef ALIPWG4HIGHPTTRACKQA_CXX
25#define ALIPWG4HIGHPTTRACKQA_CXX
26
27#include "AliPWG4HighPtTrackQA.h"
28
29#include "TH1.h"
30#include "TH2.h"
31#include "TH3.h"
32#include "TProfile.h"
33#include "TList.h"
34#include "TFile.h"
35#include "TChain.h"
36#include "TH3F.h"
37#include "TKey.h"
38#include "TSystem.h"
39#include "TBits.h"
40
41#include "AliAnalysisManager.h"
42#include "AliESDInputHandler.h"
43#include "AliMCEvent.h"
44#include "AliMCEventHandler.h"
45#include "AliStack.h"
46#include "AliESDtrack.h"
47#include "AliESDtrackCuts.h"
48#include "AliExternalTrackParam.h"
49#include "AliLog.h"
50#include "AliGenPythiaEventHeader.h"
51#include "AliGenCocktailEventHeader.h"
52#include "AliCentrality.h"
53#include "AliAODVertex.h"
54#include "AliAODEvent.h"
d756027f 55
56using namespace std; //required for resolving the 'cout' symbol
57
58ClassImp(AliPWG4HighPtTrackQA)
59
60AliPWG4HighPtTrackQA::AliPWG4HighPtTrackQA()
61: AliAnalysisTaskSE(),
62 fDataType(kESD),
63 fEvent(0x0),
64 fESD(0x0),
65 fVtx(0x0),
491bba9d 66 fVtxAOD(0x0),
44684f3b 67 fTrackCuts(0x0),
68 fTrackCutsITSLoose(0x0),
69 fTrackCutsTPConly(0x0),
d756027f 70 fTrackType(0),
71 fFilterMask(0),
584095b1 72 fIncludeNoITS(kFALSE),
aa3ba8d2 73 fSigmaConstrainedMax(-1.),
d756027f 74 fPtMax(100.),
75 fIsPbPb(0),
76 fCentClass(10),
0e8a59df 77 fNVariables(26),
d756027f 78 fVariables(0x0),
b8f6bad5 79 fITSClusterMap(0),
d756027f 80 fAvgTrials(1),
81 fNEventAll(0),
82 fNEventSel(0),
83 fNEventReject(0),
84 fh1Centrality(0x0),
85 fh1Xsec(0),
86 fh1Trials(0),
87 fh1PtHard(0),
88 fh1PtHardTrials(0),
89 fh1NTracksAll(0x0),
90 fh1NTracksReject(0x0),
91 fh1NTracksSel(0x0),
92 fPtAll(0),
93 fPtSel(0),
94 fPtPhi(0x0),
95 fPtEta(0x0),
584095b1 96 fPtEtaPhi(0x0),
d756027f 97 fPtDCA2D(0x0),
98 fPtDCAZ(0x0),
99 fPtNClustersTPC(0x0),
c3db108c 100 fPtNClustersTPCPhi(0x0),
0f76d8ae 101 fPtNClustersTPCIter1(0x0),
a5e0d236 102 fPtNClustersTPCIter1Phi(0x0),
d889ce29 103 fPtNClustersTPCShared(0x0),
104 fPtNClustersTPCSharedFrac(0x0),
d756027f 105 fPtNPointITS(0x0),
0714a353 106 fPtNPointITSPhi(0x0),
d756027f 107 fPtChi2C(0x0),
108 fPtNSigmaToVertex(0x0),
109 fPtRelUncertainty1Pt(0x0),
05cb235d 110 fPtRelUncertainty1PtNClus(0x0),
0f76d8ae 111 fPtRelUncertainty1PtNClusIter1(0x0),
b8f6bad5 112 fPtRelUncertainty1PtNPointITS(0x0),
113 fPtRelUncertainty1PtITSClusterMap(0x0),
05cb235d 114 fPtRelUncertainty1PtChi2(0x0),
0f76d8ae 115 fPtRelUncertainty1PtChi2Iter1(0x0),
116 fPtRelUncertainty1PtPhi(0x0),
d756027f 117 fPtChi2PerClusterTPC(0x0),
0f76d8ae 118 fPtChi2PerClusterTPCIter1(0x0),
d756027f 119 fPtNCrossedRows(0x0),
a337a5a9 120 fPtNCrossedRowsPhi(0x0),
b8f6bad5 121 fPtNCrossedRowsNClusFPhi(0x0),
d756027f 122 fPtNCrRNCrRNClusF(0x0),
a5e0d236 123 fPtNCrossedRowsFit(0x0),
a337a5a9 124 fPtNCrossedRowsFitPhi(0x0),
b8f6bad5 125 fPtNCrossedRowsNClusFFitPhi(0x0),
a337a5a9 126 fNCrossedRowsNCrossedRowsFit(0x0),
127 fNClustersNCrossedRows(0x0),
128 fNClustersNCrossedRowsFit(0x0),
851fbc03 129 fPtNClustersNClustersFitMap(0x0),
b8f6bad5 130 fPtRelUncertainty1PtNCrossedRows(0x0),
131 fPtRelUncertainty1PtNCrossedRowsFit(0x0),
dae7dd67 132 fPtChi2Gold(0x0),
133 fPtChi2GGC(0x0),
134 fPtChi2GoldPhi(0x0),
135 fPtChi2GGCPhi(0x0),
136 fChi2GoldChi2GGC(0x0),
0e8a59df 137 fPtChi2ITSPhi(0x0),
2b553e6f 138 fPtSigmaY2(0x0),
139 fPtSigmaZ2(0x0),
140 fPtSigmaSnp2(0x0),
141 fPtSigmaTgl2(0x0),
142 fPtSigma1Pt2(0x0),
aa3ba8d2 143 fProfPtSigmaY2(0x0),
144 fProfPtSigmaZ2(0x0),
145 fProfPtSigmaSnp2(0x0),
146 fProfPtSigmaTgl2(0x0),
147 fProfPtSigma1Pt2(0x0),
148 fProfPtSigma1Pt(0x0),
149 fProfPtPtSigma1Pt(0x0),
d756027f 150 fHistList(0)
151{
006b2a30 152 //
153 // Constructor
154 //
e293a32b 155 SetNVariables(26);
aa3ba8d2 156
157 fPtBinEdges[0][0] = 10.;
158 fPtBinEdges[0][1] = 1.;
159 fPtBinEdges[1][0] = 20.;
160 fPtBinEdges[1][1] = 2.;
b1041e3b 161 fPtBinEdges[2][0] = 100.;
aa3ba8d2 162 fPtBinEdges[2][1] = 5.;
163
d756027f 164}
165//________________________________________________________________________
166AliPWG4HighPtTrackQA::AliPWG4HighPtTrackQA(const char *name):
167 AliAnalysisTaskSE(name),
168 fDataType(kESD),
169 fEvent(0x0),
170 fESD(0x0),
171 fVtx(0x0),
491bba9d 172 fVtxAOD(0x0),
44684f3b 173 fTrackCuts(0x0),
174 fTrackCutsITSLoose(0x0),
175 fTrackCutsTPConly(0x0),
d756027f 176 fTrackType(0),
177 fFilterMask(0),
584095b1 178 fIncludeNoITS(kFALSE),
aa3ba8d2 179 fSigmaConstrainedMax(-1.),
d756027f 180 fPtMax(100.),
181 fIsPbPb(0),
182 fCentClass(10),
0e8a59df 183 fNVariables(26),
d756027f 184 fVariables(0x0),
b8f6bad5 185 fITSClusterMap(0),
d756027f 186 fAvgTrials(1),
187 fNEventAll(0),
188 fNEventSel(0),
189 fNEventReject(0),
190 fh1Centrality(0x0),
191 fh1Xsec(0),
192 fh1Trials(0),
193 fh1PtHard(0),
194 fh1PtHardTrials(0),
195 fh1NTracksAll(0x0),
196 fh1NTracksReject(0x0),
197 fh1NTracksSel(0x0),
198 fPtAll(0),
199 fPtSel(0),
200 fPtPhi(0x0),
201 fPtEta(0x0),
584095b1 202 fPtEtaPhi(0x0),
d756027f 203 fPtDCA2D(0x0),
204 fPtDCAZ(0x0),
205 fPtNClustersTPC(0x0),
c3db108c 206 fPtNClustersTPCPhi(0x0),
0f76d8ae 207 fPtNClustersTPCIter1(0x0),
a5e0d236 208 fPtNClustersTPCIter1Phi(0x0),
d889ce29 209 fPtNClustersTPCShared(0x0),
210 fPtNClustersTPCSharedFrac(0x0),
d756027f 211 fPtNPointITS(0x0),
0714a353 212 fPtNPointITSPhi(0x0),
d756027f 213 fPtChi2C(0x0),
214 fPtNSigmaToVertex(0x0),
215 fPtRelUncertainty1Pt(0x0),
05cb235d 216 fPtRelUncertainty1PtNClus(0x0),
0f76d8ae 217 fPtRelUncertainty1PtNClusIter1(0x0),
b8f6bad5 218 fPtRelUncertainty1PtNPointITS(0x0),
219 fPtRelUncertainty1PtITSClusterMap(0x0),
05cb235d 220 fPtRelUncertainty1PtChi2(0x0),
0f76d8ae 221 fPtRelUncertainty1PtChi2Iter1(0x0),
222 fPtRelUncertainty1PtPhi(0x0),
d756027f 223 fPtChi2PerClusterTPC(0x0),
0f76d8ae 224 fPtChi2PerClusterTPCIter1(0x0),
d756027f 225 fPtNCrossedRows(0x0),
a337a5a9 226 fPtNCrossedRowsPhi(0x0),
b8f6bad5 227 fPtNCrossedRowsNClusFPhi(0x0),
d756027f 228 fPtNCrRNCrRNClusF(0x0),
a5e0d236 229 fPtNCrossedRowsFit(0x0),
a337a5a9 230 fPtNCrossedRowsFitPhi(0x0),
b8f6bad5 231 fPtNCrossedRowsNClusFFitPhi(0x0),
a337a5a9 232 fNCrossedRowsNCrossedRowsFit(0x0),
233 fNClustersNCrossedRows(0x0),
234 fNClustersNCrossedRowsFit(0x0),
851fbc03 235 fPtNClustersNClustersFitMap(0x0),
b8f6bad5 236 fPtRelUncertainty1PtNCrossedRows(0x0),
237 fPtRelUncertainty1PtNCrossedRowsFit(0x0),
dae7dd67 238 fPtChi2Gold(0x0),
239 fPtChi2GGC(0x0),
240 fPtChi2GoldPhi(0x0),
241 fPtChi2GGCPhi(0x0),
242 fChi2GoldChi2GGC(0x0),
0e8a59df 243 fPtChi2ITSPhi(0x0),
2b553e6f 244 fPtSigmaY2(0x0),
245 fPtSigmaZ2(0x0),
246 fPtSigmaSnp2(0x0),
247 fPtSigmaTgl2(0x0),
248 fPtSigma1Pt2(0x0),
aa3ba8d2 249 fProfPtSigmaY2(0x0),
250 fProfPtSigmaZ2(0x0),
251 fProfPtSigmaSnp2(0x0),
252 fProfPtSigmaTgl2(0x0),
253 fProfPtSigma1Pt2(0x0),
254 fProfPtSigma1Pt(0x0),
255 fProfPtPtSigma1Pt(0x0),
d756027f 256 fHistList(0)
257{
258 //
259 // Constructor. Initialization of Inputs and Outputs
260 //
261 AliDebug(2,Form("AliPWG4HighPtTrackQA Calling Constructor"));
262
e293a32b 263 SetNVariables(26);
d756027f 264
aa3ba8d2 265 fPtBinEdges[0][0] = 10.;
266 fPtBinEdges[0][1] = 1.;
267 fPtBinEdges[1][0] = 20.;
268 fPtBinEdges[1][1] = 2.;
b1041e3b 269 fPtBinEdges[2][0] = 100.;
aa3ba8d2 270 fPtBinEdges[2][1] = 5.;
271
d756027f 272 // Input slot #0 works with a TChain ESD
273 DefineInput(0, TChain::Class());
274 // Output slot #1 write into a TList
275 DefineOutput(1, TList::Class());
276}
277
aa3ba8d2 278//________________________________________________________________________
c3db108c 279void AliPWG4HighPtTrackQA::SetPtBinEdges(Int_t region, Double_t ptmax, Double_t ptBinWidth)
280{
006b2a30 281 //
282 // Set variable bin sizes for pT axis in histos
283 //
aa3ba8d2 284
285 if(region<3) {
286 fPtBinEdges[region][0] = ptmax;
287 fPtBinEdges[region][1] = ptBinWidth;
288 }
289 else {
290 AliError("Only 3 regions alowed. Use region 0/1/2\n");
291 return;
292 }
293
294}
295
d756027f 296//________________________________________________________________________
c3db108c 297void AliPWG4HighPtTrackQA::UserCreateOutputObjects()
298{
d756027f 299 //Create output objects
300 AliDebug(2,Form(">> AliPWG4HighPtTrackQA::UserCreateOutputObjects \n"));
301
302 Bool_t oldStatus = TH1::AddDirectoryStatus();
303 TH1::AddDirectory(kFALSE);
304
305 OpenFile(1);
306 fHistList = new TList();
307 fHistList->SetOwner(kTRUE);
308
309 Float_t fgkPtMin = 0.;
59869f97 310 // Float_t fgkPtMax = fPtMax;
d756027f 311
aa3ba8d2 312 //fPtBinEdges[region][0] = ptmax of region ; fPtBinEdges[region][1] = binWidth of region
d756027f 313 const Float_t ptmin1 = fgkPtMin;
aa3ba8d2 314 const Float_t ptmax1 = fPtBinEdges[0][0];
d756027f 315 const Float_t ptmin2 = ptmax1 ;
aa3ba8d2 316 const Float_t ptmax2 = fPtBinEdges[1][0];
d756027f 317 const Float_t ptmin3 = ptmax2 ;
b1041e3b 318 const Float_t ptmax3 = fPtBinEdges[2][0];//fgkPtMax;
aa3ba8d2 319 const Int_t nbin11 = (int)((ptmax1-ptmin1)/fPtBinEdges[0][1]);
320 const Int_t nbin12 = (int)((ptmax2-ptmin2)/fPtBinEdges[1][1])+nbin11;
2793fe00 321 const Int_t nbin13 = (int)((ptmax3-ptmin3)/fPtBinEdges[2][1])+nbin12;
d756027f 322 Int_t fgkNPtBins=nbin13;
323 //Create array with low edges of each bin
324 Double_t *binsPt=new Double_t[fgkNPtBins+1];
325 for(Int_t i=0; i<=fgkNPtBins; i++) {
326 if(i<=nbin11) binsPt[i]=(Double_t)ptmin1 + (ptmax1-ptmin1)/nbin11*(Double_t)i ;
327 if(i<=nbin12 && i>nbin11) binsPt[i]=(Double_t)ptmin2 + (ptmax2-ptmin2)/(nbin12-nbin11)*((Double_t)i-(Double_t)nbin11) ;
328 if(i<=nbin13 && i>nbin12) binsPt[i]=(Double_t)ptmin3 + (ptmax3-ptmin3)/(nbin13-nbin12)*((Double_t)i-(Double_t)nbin12) ;
329 }
330
331 Int_t fgkNPhiBins = 18*6;
332 Float_t kMinPhi = 0.;
333 Float_t kMaxPhi = 2.*TMath::Pi();
334 Double_t *binsPhi = new Double_t[fgkNPhiBins+1];
335 for(Int_t i=0; i<=fgkNPhiBins; i++) binsPhi[i]=(Double_t)kMinPhi + (kMaxPhi-kMinPhi)/fgkNPhiBins*(Double_t)i ;
336
337 Int_t fgkNEtaBins=20;
338 Float_t fgkEtaMin = -1.;
339 Float_t fgkEtaMax = 1.;
340 Double_t *binsEta=new Double_t[fgkNEtaBins+1];
341 for(Int_t i=0; i<=fgkNEtaBins; i++) binsEta[i]=(Double_t)fgkEtaMin + (fgkEtaMax-fgkEtaMin)/fgkNEtaBins*(Double_t)i ;
342
343 Int_t fgkNNClustersTPCBins=80;
344 Float_t fgkNClustersTPCMin = 0.5;
345 Float_t fgkNClustersTPCMax = 160.5;
346 Double_t *binsNClustersTPC=new Double_t[fgkNNClustersTPCBins+1];
347 for(Int_t i=0; i<=fgkNNClustersTPCBins; i++) binsNClustersTPC[i]=(Double_t)fgkNClustersTPCMin + (fgkNClustersTPCMax-fgkNClustersTPCMin)/fgkNNClustersTPCBins*(Double_t)i ;
348
349 Int_t fgkNDCA2DBins=80;
350 Float_t fgkDCA2DMin = -0.2;
351 Float_t fgkDCA2DMax = 0.2;
dae7dd67 352 if(fTrackType==1 || fTrackType==2 || fTrackType==4 || fTrackType==7) {
2b553e6f 353 fgkDCA2DMin = -2.;
354 fgkDCA2DMax = 2.;
355 }
d756027f 356 Double_t *binsDCA2D=new Double_t[fgkNDCA2DBins+1];
357 for(Int_t i=0; i<=fgkNDCA2DBins; i++) binsDCA2D[i]=(Double_t)fgkDCA2DMin + (fgkDCA2DMax-fgkDCA2DMin)/fgkNDCA2DBins*(Double_t)i ;
358
359 Int_t fgkNDCAZBins=80;
360 Float_t fgkDCAZMin = -2.;
361 Float_t fgkDCAZMax = 2.;
aa3ba8d2 362 if(fTrackType==1 || fTrackType==2 || fTrackType==4) {
2b553e6f 363 fgkDCAZMin = -5.;
364 fgkDCAZMax = 5.;
365 }
d756027f 366 Double_t *binsDCAZ=new Double_t[fgkNDCAZBins+1];
367 for(Int_t i=0; i<=fgkNDCAZBins; i++) binsDCAZ[i]=(Double_t)fgkDCAZMin + (fgkDCAZMax-fgkDCAZMin)/fgkNDCAZBins*(Double_t)i ;
368
369 Int_t fgkNNPointITSBins=9;
370 Float_t fgkNPointITSMin = -0.5;
371 Float_t fgkNPointITSMax = 8.5;
372 Double_t *binsNPointITS=new Double_t[fgkNNPointITSBins+1];
373 for(Int_t i=0; i<=fgkNNPointITSBins; i++) binsNPointITS[i]=(Double_t)fgkNPointITSMin + (fgkNPointITSMax-fgkNPointITSMin)/fgkNNPointITSBins*(Double_t)i ;
374
b8f6bad5 375 Int_t fgkNITSClusterMapBins=65;
376 Float_t fgkITSClusterMapMin = -0.5;
377 Float_t fgkITSClusterMapMax = 64.5;
378 Double_t *binsITSClusterMap=new Double_t[fgkNITSClusterMapBins+1];
379 for(Int_t i=0; i<=fgkNITSClusterMapBins; i++) binsITSClusterMap[i]=(Double_t)fgkITSClusterMapMin + (fgkITSClusterMapMax-fgkITSClusterMapMin)/fgkNITSClusterMapBins*(Double_t)i ;
380
381
dae7dd67 382 Int_t fgkNNSigmaToVertexBins=9;
d756027f 383 Float_t fgkNSigmaToVertexMin = 0.;
dae7dd67 384 Float_t fgkNSigmaToVertexMax = 9.;
d756027f 385 Double_t *binsNSigmaToVertex=new Double_t[fgkNNSigmaToVertexBins+1];
386 for(Int_t i=0; i<=fgkNNSigmaToVertexBins; i++) binsNSigmaToVertex[i]=(Double_t)fgkNSigmaToVertexMin + (fgkNSigmaToVertexMax-fgkNSigmaToVertexMin)/fgkNNSigmaToVertexBins*(Double_t)i ;
387
dae7dd67 388 Int_t fgkNChi2CBins=10;
389 // Float_t fgkChi2CMin = 0.;
390 // Float_t fgkChi2CMax = 100.; //10 sigma
d756027f 391 Double_t *binsChi2C=new Double_t[fgkNChi2CBins+1];
dae7dd67 392 for(Int_t i=0; i<=fgkNChi2CBins; i++) binsChi2C[i] = (Double_t)i * (Double_t)i;
d756027f 393
d756027f 394 Float_t fgkRel1PtUncertaintyMin = 0.;
5ad580fa 395 Float_t fgkRel1PtUncertaintyMax = 1.;
f9665bd4 396 Float_t binEdgeRel1PtUncertainty1= 0.3;
397 Int_t fgkNRel1PtUncertaintyBins1 = 45;
398 Float_t binWidthRel1PtUncertainty1 = (binEdgeRel1PtUncertainty1-fgkRel1PtUncertaintyMin)/((Float_t)fgkNRel1PtUncertaintyBins1);
399 Int_t fgkNRel1PtUncertaintyBins2 = 35;
400 Float_t binWidthRel1PtUncertainty2 = (fgkRel1PtUncertaintyMax-binEdgeRel1PtUncertainty1)/((Float_t)fgkNRel1PtUncertaintyBins2);
401 Int_t fgkNRel1PtUncertaintyBins = fgkNRel1PtUncertaintyBins1 + fgkNRel1PtUncertaintyBins2;
402
d756027f 403 Double_t *binsRel1PtUncertainty=new Double_t[fgkNRel1PtUncertaintyBins+1];
f9665bd4 404 for(Int_t i=0; i<=fgkNRel1PtUncertaintyBins; i++) {
405 if(i<=fgkNRel1PtUncertaintyBins1)
406 binsRel1PtUncertainty[i]=(Double_t)fgkRel1PtUncertaintyMin + (Double_t)binWidthRel1PtUncertainty1*(Double_t)i ;
407 if(i<=fgkNRel1PtUncertaintyBins && i>fgkNRel1PtUncertaintyBins1)
408 binsRel1PtUncertainty[i]=(Double_t)binEdgeRel1PtUncertainty1 + (Double_t)binWidthRel1PtUncertainty2*(Double_t)(i-fgkNRel1PtUncertaintyBins1);
409 }
d756027f 410
2b553e6f 411 Int_t fgkNUncertainty1PtBins = 30;
412 Float_t fgkUncertainty1PtMin = 0.;
413 Float_t fgkUncertainty1PtMax = 0.1;
aa3ba8d2 414 if(fTrackType==1 || fTrackType==2 || fTrackType==4)
415 fgkUncertainty1PtMax = 0.2;
2b553e6f 416 Double_t *binsUncertainty1Pt=new Double_t[fgkNUncertainty1PtBins+1];
417 for(Int_t i=0; i<=fgkNUncertainty1PtBins; i++) binsUncertainty1Pt[i]=(Double_t)fgkUncertainty1PtMin + (fgkUncertainty1PtMax-fgkUncertainty1PtMin)/fgkNUncertainty1PtBins*(Double_t)i ;
418
d756027f 419 Float_t fgkChi2PerClusMin = 0.;
420 Float_t fgkChi2PerClusMax = 4.;
421 Int_t fgkNChi2PerClusBins = (int)(fgkChi2PerClusMax*10.);
422 Double_t *binsChi2PerClus=new Double_t[fgkNChi2PerClusBins+1];
423 for(Int_t i=0; i<=fgkNChi2PerClusBins; i++) binsChi2PerClus[i]=(Double_t)fgkChi2PerClusMin + (fgkChi2PerClusMax-fgkChi2PerClusMin)/fgkNChi2PerClusBins*(Double_t)i ;
424
b8f6bad5 425 Int_t fgkNCrossedRowsNClusFBins = 45;
d756027f 426 Float_t fgkNCrossedRowsNClusFMin = 0.;
b8f6bad5 427 Float_t fgkNCrossedRowsNClusFMax = 1.5;
d756027f 428 Double_t *binsNCrossedRowsNClusF=new Double_t[fgkNCrossedRowsNClusFBins+1];
429 for(Int_t i=0; i<=fgkNCrossedRowsNClusFBins; i++) binsNCrossedRowsNClusF[i]=(Double_t)fgkNCrossedRowsNClusFMin + (fgkNCrossedRowsNClusFMax-fgkNCrossedRowsNClusFMin)/fgkNCrossedRowsNClusFBins*(Double_t)i ;
430
2b553e6f 431 Float_t fgk1PtMin = 0.;
432 Float_t fgk1PtMax = 6.;
aa3ba8d2 433 Float_t binEdge1Pt1 = 1.;
434 Float_t binWidth1Pt1 = 0.05;
435 Int_t fgkN1PtBins1 = (int)((binEdge1Pt1-fgk1PtMin)/binWidth1Pt1);
436 Float_t binWidth1Pt2 = 0.1;
437 Int_t fgkN1PtBins2 = (int)((fgk1PtMax-binEdge1Pt1)/binWidth1Pt2);
438 Int_t fgkN1PtBins = fgkN1PtBins1+fgkN1PtBins2;
2b553e6f 439 Double_t *bins1Pt=new Double_t[fgkN1PtBins+1];
aa3ba8d2 440
441 for(Int_t i=0; i<=fgkN1PtBins; i++) {
442 if(i<=fgkN1PtBins1)
443 bins1Pt[i]=(Double_t)fgk1PtMin + (Double_t)(binEdge1Pt1-fgk1PtMin)/(Double_t)fgkN1PtBins1*(Double_t)i;
444 if(i<=fgkN1PtBins && i>fgkN1PtBins1)
445 bins1Pt[i]=(Double_t)binEdge1Pt1 + (Double_t)(fgk1PtMax-binEdge1Pt1)/(Double_t)fgkN1PtBins2*(Double_t)(i-fgkN1PtBins1);
446 }
2b553e6f 447
448 Int_t fgkNSigmaY2Bins = 50;
449 Float_t fgkSigmaY2Min = 0.;
aa3ba8d2 450 Float_t fgkSigmaY2Max = 1.;
451 if(fTrackType==1) fgkSigmaY2Max = 4.;
452 if(fTrackType==2 || fTrackType==4) fgkSigmaY2Max = 0.1;
2b553e6f 453 Double_t *binsSigmaY2=new Double_t[fgkNSigmaY2Bins+1];
454 for(Int_t i=0; i<=fgkNSigmaY2Bins; i++) binsSigmaY2[i]=(Double_t)fgkSigmaY2Min + (fgkSigmaY2Max-fgkSigmaY2Min)/fgkNSigmaY2Bins*(Double_t)i ;
455
456 Int_t fgkNSigmaZ2Bins = 50;
457 Float_t fgkSigmaZ2Min = 0.;
aa3ba8d2 458 Float_t fgkSigmaZ2Max = 0.4;
2b553e6f 459 Double_t *binsSigmaZ2=new Double_t[fgkNSigmaZ2Bins+1];
460 for(Int_t i=0; i<=fgkNSigmaZ2Bins; i++) binsSigmaZ2[i]=(Double_t)fgkSigmaZ2Min + (fgkSigmaZ2Max-fgkSigmaZ2Min)/fgkNSigmaZ2Bins*(Double_t)i ;
461
462 Int_t fgkNSigmaSnp2Bins = 50;
463 Float_t fgkSigmaSnp2Min = 0.;
aa3ba8d2 464 Float_t fgkSigmaSnp2Max = 0.05;
465 if(fTrackType==1) fgkSigmaSnp2Max = 0.2;
466 if(fTrackType==2 || fTrackType==4) fgkSigmaSnp2Max = 0.1;
2b553e6f 467 Double_t *binsSigmaSnp2=new Double_t[fgkNSigmaSnp2Bins+1];
468 for(Int_t i=0; i<=fgkNSigmaSnp2Bins; i++) binsSigmaSnp2[i]=(Double_t)fgkSigmaSnp2Min + (fgkSigmaSnp2Max-fgkSigmaSnp2Min)/fgkNSigmaSnp2Bins*(Double_t)i ;
469
470 Int_t fgkNSigmaTgl2Bins = 50;
471 Float_t fgkSigmaTgl2Min = 0.;
aa3ba8d2 472 Float_t fgkSigmaTgl2Max = 0.1;
473 if(fTrackType==1) fgkSigmaTgl2Max = 0.2;
474 if(fTrackType==2 || fTrackType==4) fgkSigmaTgl2Max = 0.1;
2b553e6f 475 Double_t *binsSigmaTgl2=new Double_t[fgkNSigmaTgl2Bins+1];
476 for(Int_t i=0; i<=fgkNSigmaTgl2Bins; i++) binsSigmaTgl2[i]=(Double_t)fgkSigmaTgl2Min + (fgkSigmaTgl2Max-fgkSigmaTgl2Min)/fgkNSigmaTgl2Bins*(Double_t)i ;
477
478 Int_t fgkNSigma1Pt2Bins = 50;
479 Float_t fgkSigma1Pt2Min = 0.;
aa3ba8d2 480 Float_t fgkSigma1Pt2Max = 1.;
2b553e6f 481 Double_t *binsSigma1Pt2=new Double_t[fgkNSigma1Pt2Bins+1];
482 for(Int_t i=0; i<=fgkNSigma1Pt2Bins; i++) binsSigma1Pt2[i]=(Double_t)fgkSigma1Pt2Min + (fgkSigma1Pt2Max-fgkSigma1Pt2Min)/fgkNSigma1Pt2Bins*(Double_t)i ;
483
484
d756027f 485 fNEventAll = new TH1F("fNEventAll","NEventAll",1,-0.5,0.5);
486 fHistList->Add(fNEventAll);
487 fNEventSel = new TH1F("fNEventSel","NEvent Selected for analysis",1,-0.5,0.5);
488 fHistList->Add(fNEventSel);
489 fNEventReject = new TH1F("fNEventReject","Reason events are rejectected for analysis",20,0,20);
490 //Set labels
491 fNEventReject->Fill("noESD",0);
492 fNEventReject->Fill("Trigger",0);
493 fNEventReject->Fill("NTracks<2",0);
494 fNEventReject->Fill("noVTX",0);
495 fNEventReject->Fill("VtxStatus",0);
496 fNEventReject->Fill("NCont<2",0);
497 fNEventReject->Fill("ZVTX>10",0);
498 fNEventReject->Fill("cent",0);
499 fNEventReject->Fill("cent>90",0);
500 fHistList->Add(fNEventReject);
501
502 fh1Centrality = new TH1F("fh1Centrality","fh1Centrality; Centrality %",100,0,100);
503 fHistList->Add(fh1Centrality);
504
505 fh1Xsec = new TProfile("fh1Xsec","xsec from pyxsec.root",1,0,1);
506 fh1Xsec->GetXaxis()->SetBinLabel(1,"<#sigma>");
507 fHistList->Add(fh1Xsec);
508
509 fh1Trials = new TH1F("fh1Trials","trials root file",1,0,1);
510 fh1Trials->GetXaxis()->SetBinLabel(1,"#sum{ntrials}");
511 fHistList->Add(fh1Trials);
512
513 fh1PtHard = new TH1F("fh1PtHard","PYTHIA Pt hard;p_{T,hard}",350,-.5,349.5);
514 fHistList->Add(fh1PtHard);
515 fh1PtHardTrials = new TH1F("fh1PtHardTrials","PYTHIA Pt hard weight with trials;p_{T,hard}",350,-.5,349.5);
516 fHistList->Add(fh1PtHardTrials);
517
518 fh1NTracksAll = new TH1F("fh1NTracksAll","fh1NTracksAll",1,-0.5,0.5);
519 fHistList->Add(fh1NTracksAll);
520
521 fh1NTracksReject = new TH1F("fh1NTracksReject","fh1NTracksReject",1,-0.5,0.5);
adf3920d 522 fh1NTracksReject->Fill("noHybridTrack",0);
584095b1 523 fh1NTracksReject->Fill("noITSrefit",0);
d756027f 524 fh1NTracksReject->Fill("noESDtrack",0);
525 fh1NTracksReject->Fill("noTPCInner",0);
526 fh1NTracksReject->Fill("FillTPC",0);
527 fh1NTracksReject->Fill("noTPConly",0);
528 fh1NTracksReject->Fill("relate",0);
529 fh1NTracksReject->Fill("trackCuts",0);
530 fh1NTracksReject->Fill("laser",0);
2b553e6f 531 fh1NTracksReject->Fill("chi2",0);
d756027f 532 fHistList->Add(fh1NTracksReject);
533
534 fh1NTracksSel = new TH1F("fh1NTracksSel","fh1NTracksSel",1,-0.5,0.5);
535 fHistList->Add(fh1NTracksSel);
536
d756027f 537 fPtAll = new TH1F("fPtAll","PtAll",fgkNPtBins, binsPt);
538 fHistList->Add(fPtAll);
539 fPtSel = new TH1F("fPtSel","PtSel",fgkNPtBins, binsPt);
540 fHistList->Add(fPtSel);
541
542 fPtPhi = new TH2F("fPtPhi","fPtPhi",fgkNPtBins,binsPt,fgkNPhiBins,binsPhi);
543 fHistList->Add(fPtPhi);
544
545 fPtEta = new TH2F("fPtEta","fPtEta",fgkNPtBins,binsPt,fgkNEtaBins,binsEta);
546 fHistList->Add(fPtEta);
584095b1 547
548 fPtEtaPhi = new TH3F("fPtEtaPhi","fPtEtaPhi",fgkNPtBins,binsPt,fgkNEtaBins,binsEta,fgkNPhiBins,binsPhi);
549 fHistList->Add(fPtEtaPhi);
d756027f 550
551 fPtDCA2D = new TH2F("fPtDCA2D","fPtDCA2D",fgkNPtBins,binsPt,fgkNDCA2DBins,binsDCA2D);
552 fHistList->Add(fPtDCA2D);
553
554 fPtDCAZ = new TH2F("fPtDCAZ","fPtDCAZ",fgkNPtBins,binsPt,fgkNDCAZBins,binsDCAZ);
555 fHistList->Add(fPtDCAZ);
556
557 fPtNClustersTPC = new TH2F("fPtNClustersTPC","fPtNClustersTPC",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC);
558 fHistList->Add(fPtNClustersTPC);
0f76d8ae 559
c3db108c 560 fPtNClustersTPCPhi = new TH2F("fPtNClustersTPCPhi","fPtNClustersTPCPhi",fgkNPhiBins,binsPhi,fgkNNClustersTPCBins,binsNClustersTPC);
561 fHistList->Add(fPtNClustersTPCPhi);
562
0f76d8ae 563 fPtNClustersTPCIter1 = new TH2F("fPtNClustersTPCIter1","fPtNClustersTPCIter1",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC);
564 fHistList->Add(fPtNClustersTPCIter1);
d889ce29 565
a5e0d236 566 fPtNClustersTPCIter1Phi = new TH3F("fPtNClustersTPCIter1Phi","fPtNClustersTPCIter1Phi",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNPhiBins,binsPhi);
567 fHistList->Add(fPtNClustersTPCIter1Phi);
568
d889ce29 569 fPtNClustersTPCShared = new TH2F("fPtNClustersTPCShared","fPtNClustersTPCShared",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC);
570 fHistList->Add(fPtNClustersTPCShared);
571
572 fPtNClustersTPCSharedFrac = new TH2F("fPtNClustersTPCSharedFrac","fPtNClustersTPCSharedFrac",fgkNPtBins,binsPt,fgkNSigma1Pt2Bins,binsSigma1Pt2);
573 fHistList->Add(fPtNClustersTPCSharedFrac);
d756027f 574
575 fPtNPointITS = new TH2F("fPtNPointITS","fPtNPointITS",fgkNPtBins,binsPt,fgkNNPointITSBins,binsNPointITS);
576 fHistList->Add(fPtNPointITS);
0714a353 577
578 fPtNPointITSPhi = new TH3F("fPtNPointITSPhi","fPtNPointITSPhi",fgkNPtBins,binsPt,fgkNNPointITSBins,binsNPointITS,fgkNPhiBins,binsPhi);
579 fHistList->Add(fPtNPointITSPhi);
d756027f 580
581 fPtChi2C = new TH2F("fPtChi2C","fPtChi2C",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C);
582 fHistList->Add(fPtChi2C);
583
584 fPtNSigmaToVertex = new TH2F("fPtNSigmaToVertex","fPtNSigmaToVertex",fgkNPtBins,binsPt,fgkNNSigmaToVertexBins,binsNSigmaToVertex);
585 fHistList->Add(fPtNSigmaToVertex);
586
587 fPtRelUncertainty1Pt = new TH2F("fPtRelUncertainty1Pt","fPtRelUncertainty1Pt",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty);
588 fHistList->Add(fPtRelUncertainty1Pt);
2b553e6f 589
05cb235d 590 fPtRelUncertainty1PtNClus = new TH3F("fPtRelUncertainty1PtNClus","fPtRelUncertainty1PtNClus",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNClustersTPCBins,binsNClustersTPC);
591 fHistList->Add(fPtRelUncertainty1PtNClus);
592
0f76d8ae 593 fPtRelUncertainty1PtNClusIter1 = new TH3F("fPtRelUncertainty1PtNClusIter1","fPtRelUncertainty1PtNClusIter1",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNClustersTPCBins,binsNClustersTPC);
594 fHistList->Add(fPtRelUncertainty1PtNClusIter1);
595
b8f6bad5 596 fPtRelUncertainty1PtNPointITS = new TH3F("fPtRelUncertainty1PtNPointITS","fPtRelUncertainty1PtNPointITS",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNPointITSBins,binsNPointITS);
597 fHistList->Add(fPtRelUncertainty1PtNPointITS);
598
599 fPtRelUncertainty1PtITSClusterMap = new TH3F("fPtRelUncertainty1PtITSClusterMap","fPtRelUncertainty1PtITSClusterMap",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNITSClusterMapBins,binsITSClusterMap);
600 fHistList->Add(fPtRelUncertainty1PtITSClusterMap);
601
05cb235d 602 fPtRelUncertainty1PtChi2 = new TH3F("fPtRelUncertainty1PtChi2","fPtRelUncertainty1PtChi2",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNChi2PerClusBins,binsChi2PerClus);
603 fHistList->Add(fPtRelUncertainty1PtChi2);
604
0f76d8ae 605 fPtRelUncertainty1PtChi2Iter1 = new TH3F("fPtRelUncertainty1PtChi2Iter1","fPtRelUncertainty1PtChi2Iter1",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNChi2PerClusBins,binsChi2PerClus);
606 fHistList->Add(fPtRelUncertainty1PtChi2Iter1);
607
608 fPtRelUncertainty1PtPhi = new TH3F("fPtRelUncertainty1PtPhi","fPtRelUncertainty1PtPhi",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNPhiBins,binsPhi);
609 fHistList->Add(fPtRelUncertainty1PtPhi);
610
d756027f 611 fPtChi2PerClusterTPC = new TH2F("fPtChi2PerClusterTPC","fPtChi2PerClusterTPC",fgkNPtBins,binsPt,fgkNChi2PerClusBins,binsChi2PerClus);
612 fHistList->Add(fPtChi2PerClusterTPC);
0f76d8ae 613
614 fPtChi2PerClusterTPCIter1 = new TH2F("fPtChi2PerClusterTPCIter1","fPtChi2PerClusterTPCIter1",fgkNPtBins,binsPt,fgkNChi2PerClusBins,binsChi2PerClus);
615 fHistList->Add(fPtChi2PerClusterTPCIter1);
d756027f 616
617 fPtNCrossedRows = new TH2F("fPtNCrossedRows","fPtNCrossedRows",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC);
618 fHistList->Add(fPtNCrossedRows);
619
a337a5a9 620 fPtNCrossedRowsPhi = new TH3F("fPtNCrossedRowsPhi","fPtNCrossedRowsPhi",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNPhiBins,binsPhi);
621 fHistList->Add(fPtNCrossedRowsPhi);
622
b8f6bad5 623 fPtNCrossedRowsNClusFPhi = new TH3F("fPtNCrossedRowsNClusFPhi","fPtNCrossedRowsNClusFPhi",fgkNPtBins,binsPt,fgkNCrossedRowsNClusFBins,binsNCrossedRowsNClusF,fgkNPhiBins,binsPhi);
624 fHistList->Add(fPtNCrossedRowsNClusFPhi);
d756027f 625
626 fPtNCrRNCrRNClusF = new TH3F("fPtNCrRNCrRNClusF","fPtNCrRNCrRNClusF",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNCrossedRowsNClusFBins,binsNCrossedRowsNClusF);
627 fHistList->Add(fPtNCrRNCrRNClusF);
2b553e6f 628
a5e0d236 629 fPtNCrossedRowsFit = new TH2F("fPtNCrossedRowsFit","fPtNCrossedRowsFit",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC);
630 fHistList->Add(fPtNCrossedRowsFit);
631
a337a5a9 632 fPtNCrossedRowsFitPhi = new TH3F("fPtNCrossedRowsFitPhi","fPtNCrossedRowsFitPhi",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNPhiBins,binsPhi);
633 fHistList->Add(fPtNCrossedRowsFitPhi);
634
b8f6bad5 635 fPtNCrossedRowsNClusFFitPhi = new TH3F("fPtNCrossedRowsNClusFFitPhi","fPtNCrossedRowsNClusFFitPhi",fgkNPtBins,binsPt,fgkNCrossedRowsNClusFBins,binsNCrossedRowsNClusF,fgkNPhiBins,binsPhi);
636 fHistList->Add(fPtNCrossedRowsNClusFFitPhi);
a5e0d236 637
a337a5a9 638 fNCrossedRowsNCrossedRowsFit = new TH2F("fNCrossedRowsNCrossedRowsFit","fNCrossedRowsNCrossedRowsFit",fgkNNClustersTPCBins,binsNClustersTPC,fgkNNClustersTPCBins,binsNClustersTPC);
639 fHistList->Add(fNCrossedRowsNCrossedRowsFit);
640
641 fNClustersNCrossedRows = new TH2F("fNClustersNCrossedRows","fNClustersNCrossedRows",fgkNNClustersTPCBins,binsNClustersTPC,fgkNNClustersTPCBins,binsNClustersTPC);
642 fHistList->Add(fNClustersNCrossedRows);
643
644 fNClustersNCrossedRowsFit = new TH2F("fNClustersNCrossedRowsFit","fNClustersNCrossedRowsFit",fgkNNClustersTPCBins,binsNClustersTPC,fgkNNClustersTPCBins,binsNClustersTPC);
645 fHistList->Add(fNClustersNCrossedRowsFit);
646
851fbc03 647 fPtNClustersNClustersFitMap = new TH3F("fPtNClustersNClustersFitMap","fPtNClustersNClustersFitMap;p_{T};N_{cls};N_{cls}^{fit map}",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNNClustersTPCBins,binsNClustersTPC);
648 fHistList->Add(fPtNClustersNClustersFitMap);
649
b8f6bad5 650 fPtRelUncertainty1PtNCrossedRows = new TH3F("fPtRelUncertainty1PtNCrossedRows","fPtRelUncertainty1PtNCrossedRows",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNClustersTPCBins,binsNClustersTPC);
651 fHistList->Add(fPtRelUncertainty1PtNCrossedRows);
652
653 fPtRelUncertainty1PtNCrossedRowsFit = new TH3F("fPtRelUncertainty1PtNCrossedRowsFit","fPtRelUncertainty1PtNCrossedRowsFit",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNClustersTPCBins,binsNClustersTPC);
654 fHistList->Add(fPtRelUncertainty1PtNCrossedRowsFit);
655
dae7dd67 656 fPtChi2Gold = new TH2F("fPtChi2Gold","fPtChi2Gold",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C);
657 fHistList->Add(fPtChi2Gold);
658
659 fPtChi2GGC = new TH2F("fPtChi2GGC","fPtChi2GGC",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C);
660 fHistList->Add(fPtChi2GGC);
661
662 fPtChi2GoldPhi = new TH3F("fPtChi2GoldPhi","fPtChi2GoldPhi",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C,fgkNPhiBins,binsPhi);
663 fHistList->Add(fPtChi2GoldPhi);
664
665 fPtChi2GGCPhi = new TH3F("fPtChi2GGCPhi","fPtChi2GGCPhi",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C,fgkNPhiBins,binsPhi);
666 fHistList->Add(fPtChi2GGCPhi);
667
668 fChi2GoldChi2GGC = new TH2F("fChi2GoldChi2GGC","fChi2GoldChi2GGC;#chi^{2}_{gold};#chi^{2}_{ggc}",fgkNChi2CBins,binsChi2C,fgkNChi2CBins,binsChi2C);
669 fHistList->Add(fChi2GoldChi2GGC);
670
0e8a59df 671 fPtChi2ITSPhi = new TH3F("fPtChi2ITSPhi","fPtChi2ITSPhi;p_{T};#chi^{2}_{ITS};#varphi",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C,fgkNPhiBins,binsPhi);
672 fHistList->Add(fPtChi2ITSPhi);
dae7dd67 673
aa3ba8d2 674 fPtSigmaY2 = new TH2F("fPtSigmaY2","fPtSigmaY2",fgkN1PtBins,bins1Pt,fgkNSigmaY2Bins,binsSigmaY2);
2b553e6f 675 fHistList->Add(fPtSigmaY2);
676
677 fPtSigmaZ2 = new TH2F("fPtSigmaZ2","fPtSigmaZ2",fgkN1PtBins,bins1Pt,fgkNSigmaZ2Bins,binsSigmaZ2);
678 fHistList->Add(fPtSigmaZ2);
679
aa3ba8d2 680 fPtSigmaSnp2 = new TH2F("fPtSigmaSnp2","fPtSigmaSnp2",fgkN1PtBins,bins1Pt,fgkNSigmaSnp2Bins,binsSigmaSnp2);
2b553e6f 681 fHistList->Add(fPtSigmaSnp2);
682
aa3ba8d2 683 fPtSigmaTgl2 = new TH2F("fPtSigmaTgl2","fPtSigmaTgl2",fgkN1PtBins,bins1Pt,fgkNSigmaTgl2Bins,binsSigmaTgl2);
2b553e6f 684 fHistList->Add(fPtSigmaTgl2);
685
aa3ba8d2 686 fPtSigma1Pt2 = new TH2F("fPtSigma1Pt2","fPtSigma1Pt2",fgkN1PtBins,bins1Pt,fgkNSigma1Pt2Bins,binsSigma1Pt2);
2b553e6f 687 fHistList->Add(fPtSigma1Pt2);
688
aa3ba8d2 689 fProfPtSigmaY2 = new TProfile("fProfPtSigmaY2","fProfPtSigmaY2",fgkN1PtBins,bins1Pt);
690 fHistList->Add(fProfPtSigmaY2);
691
692 fProfPtSigmaZ2 = new TProfile("fProfPtSigmaZ2","fProfPtSigmaZ2",fgkN1PtBins,bins1Pt);
693 fHistList->Add(fProfPtSigmaZ2);
694
695 fProfPtSigmaSnp2 = new TProfile("fProfPtSigmaSnp2","fProfPtSigmaSnp2",fgkN1PtBins,bins1Pt);
696 fHistList->Add(fProfPtSigmaSnp2);
697
698 fProfPtSigmaTgl2 = new TProfile("fProfPtSigmaTgl2","fProfPtSigmaTgl2",fgkN1PtBins,bins1Pt);
699 fHistList->Add(fProfPtSigmaTgl2);
700
701 fProfPtSigma1Pt2 = new TProfile("fProfPtSigma1Pt2","fProfPtSigma1Pt2",fgkN1PtBins,bins1Pt);
702 fHistList->Add(fProfPtSigma1Pt2);
703
704 fProfPtSigma1Pt = new TProfile("fProfPtSigma1Pt","fProfPtSigma1Pt;p_{T};#sigma(1/p_{T})",fgkNPtBins,binsPt);
705 fHistList->Add(fProfPtSigma1Pt);
706
707 fProfPtPtSigma1Pt = new TProfile("fProfPtPtSigma1Pt","fProfPtPtSigma1Pt;p_{T};p_{T}#sigma(1/p_{T})",fgkNPtBins,binsPt);
708 fHistList->Add(fProfPtPtSigma1Pt);
709
d756027f 710 TH1::AddDirectory(oldStatus);
711
712 PostData(1, fHistList);
713
714 if(binsPhi) delete [] binsPhi;
715 if(binsPt) delete [] binsPt;
716 if(binsNClustersTPC) delete [] binsNClustersTPC;
717 if(binsDCA2D) delete [] binsDCA2D;
718 if(binsDCAZ) delete [] binsDCAZ;
719 if(binsNPointITS) delete [] binsNPointITS;
941422ff 720 if(binsITSClusterMap) delete [] binsITSClusterMap;
d756027f 721 if(binsNSigmaToVertex) delete [] binsNSigmaToVertex;
722 if(binsChi2C) delete [] binsChi2C;
723 if(binsEta) delete [] binsEta;
724 if(binsRel1PtUncertainty) delete [] binsRel1PtUncertainty;
2b553e6f 725 if(binsUncertainty1Pt) delete [] binsUncertainty1Pt;
d756027f 726 if(binsChi2PerClus) delete [] binsChi2PerClus;
727 if(binsChi2PerClus) delete [] binsNCrossedRowsNClusF;
2b553e6f 728 if(bins1Pt) delete [] bins1Pt;
729 if(binsSigmaY2) delete [] binsSigmaY2;
730 if(binsSigmaZ2) delete [] binsSigmaZ2;
731 if(binsSigmaSnp2) delete [] binsSigmaSnp2;
732 if(binsSigmaTgl2) delete [] binsSigmaTgl2;
733 if(binsSigma1Pt2) delete [] binsSigma1Pt2;
d756027f 734}
735
736//________________________________________________________________________
c3db108c 737Bool_t AliPWG4HighPtTrackQA::SelectEvent()
738{
d756027f 739 //
740 // Decide if event should be selected for analysis
741 //
742
743 // Checks following requirements:
744 // - fEvent available
745 // - trigger info from AliPhysicsSelection
746 // - MCevent available
747 // - number of reconstructed tracks > 1
748 // - primary vertex reconstructed
749 // - z-vertex < 10 cm
750 // - centrality in case of PbPb
751
752 Bool_t selectEvent = kTRUE;
753
754 //fEvent object available?
755 if (!fEvent) {
756 AliDebug(2,Form("ERROR: fInputEvent not available\n"));
757 fNEventReject->Fill("noAliVEvent",1);
758 selectEvent = kFALSE;
759 return selectEvent;
760 }
761
762 //Check if number of reconstructed tracks is larger than 1
763 if(!fEvent->GetNumberOfTracks() || fEvent->GetNumberOfTracks()<2) {
764 fNEventReject->Fill("NTracks<2",1);
765 selectEvent = kFALSE;
766 return selectEvent;
767 }
768
769 //Check if vertex is reconstructed
1ea145ef 770 if(fDataType==kESD&&dynamic_cast<AliESDEvent*>(fEvent)) {
a5e0d236 771 fVtx = ((AliESDEvent*)fEvent)->GetPrimaryVertexTracks();
772
773 if (!fVtx || !fVtx->GetStatus())
774 fVtx = ((AliESDEvent*)fEvent)->GetPrimaryVertexSPD();
d756027f 775
776 if(!fVtx) {
777 fNEventReject->Fill("noVTX",1);
778 selectEvent = kFALSE;
779 return selectEvent;
780 }
781
782 if(!fVtx->GetStatus()) {
783 fNEventReject->Fill("VtxStatus",1);
784 selectEvent = kFALSE;
785 return selectEvent;
786 }
787
788 // Need vertex cut
789 if(fVtx->GetNContributors()<2) {
790 fNEventReject->Fill("NCont<2",1);
791 selectEvent = kFALSE;
792 return selectEvent;
793 }
794
795 //Check if z-vertex < 10 cm
796 double primVtx[3];
797 fVtx->GetXYZ(primVtx);
798 if(TMath::Sqrt(primVtx[0]*primVtx[0] + primVtx[1]*primVtx[1])>1. || TMath::Abs(primVtx[2]>10.)){
799 fNEventReject->Fill("ZVTX>10",1);
800 selectEvent = kFALSE;
801 return selectEvent;
802 }
803 }
1ea145ef 804 else if(fDataType==kAOD&&dynamic_cast<AliAODEvent*>(fEvent)) {
491bba9d 805 fVtxAOD = ((AliAODEvent*)fEvent)->GetPrimaryVertex();
806 if(!fVtxAOD) {
d756027f 807 fNEventReject->Fill("noVTX",1);
808 selectEvent = kFALSE;
809 return selectEvent;
810 }
811
812 // Need vertex cut
491bba9d 813 if(fVtxAOD->GetNContributors()<2) {
d756027f 814 fNEventReject->Fill("NCont<2",1);
815 selectEvent = kFALSE;
816 return selectEvent;
817 }
818
819 //Check if z-vertex < 10 cm
820 double primVtx[3];
491bba9d 821 fVtxAOD->GetXYZ(primVtx);
d756027f 822 if(TMath::Sqrt(primVtx[0]*primVtx[0] + primVtx[1]*primVtx[1])>1. || TMath::Abs(primVtx[2]>10.)){
823 fNEventReject->Fill("ZVTX>10",1);
824 selectEvent = kFALSE;
825 return selectEvent;
826 }
827
828 }
829
830 //Centrality selection should only be done in case of PbPb
831 if(IsPbPb()) {
832 Float_t cent = 0.;
833 if(fCentClass!=CalculateCentrality(fEvent) && fCentClass!=10) {
834 fNEventReject->Fill("cent",1);
835 selectEvent = kFALSE;
836 return selectEvent;
837 }
838 else {
839 if(fDataType==kESD) {
840 if(dynamic_cast<AliESDEvent*>(fEvent)->GetCentrality()) {
841 cent = dynamic_cast<AliESDEvent*>(fEvent)->GetCentrality()->GetCentralityPercentile("V0M");
842 }
843 }
844 else if(fDataType==kAOD) {
0a918d8d 845 if(((AliVAODHeader*)dynamic_cast<AliAODEvent*>(fEvent)->GetHeader())->GetCentrality())
846 cent = ((AliVAODHeader*)dynamic_cast<AliAODEvent*>(fEvent)->GetHeader())->GetCentrality();
d756027f 847 }
848 if(cent>90.) {
849 fNEventReject->Fill("cent>90",1);
850 selectEvent = kFALSE;
851 return selectEvent;
852 }
853 fh1Centrality->Fill(cent);
854 }
855 }
856
857 return selectEvent;
858
859}
860
861//________________________________________________________________________
c3db108c 862Int_t AliPWG4HighPtTrackQA::CalculateCentrality(AliVEvent *ev)
863{
669e2312 864 //
865 // Get centrality from ESD or AOD
866 //
867
d756027f 868 if(fDataType==kESD)
869 return CalculateCentrality(dynamic_cast<AliESDEvent*>(ev));
870 else if(fDataType==kAOD)
871 return CalculateCentrality(dynamic_cast<AliAODEvent*>(ev));
872 else
873 return 5;
874}
875
876//________________________________________________________________________
c3db108c 877Int_t AliPWG4HighPtTrackQA::CalculateCentrality(AliESDEvent *esd)
878{
669e2312 879 //
880 // Get centrality from ESD
881 //
d756027f 882
669e2312 883 Float_t cent = -1;
1ea145ef 884
885 if(esd){
886 if(esd->GetCentrality()){
887 cent = esd->GetCentrality()->GetCentralityPercentile("V0M");
669e2312 888 if(fDebug>3) printf("centrality: %f\n",cent);
1ea145ef 889 }
d756027f 890 }
891
669e2312 892 return GetCentralityClass(cent);
d756027f 893
894}
895
896//________________________________________________________________________
c3db108c 897Int_t AliPWG4HighPtTrackQA::CalculateCentrality(const AliAODEvent *aod)
898{
669e2312 899 //
900 // Get centrality from AOD
901 //
d756027f 902
669e2312 903 if(!aod) return 5;
0a918d8d 904 Float_t cent = ((AliVAODHeader*)aod->GetHeader())->GetCentrality();
669e2312 905 if(fDebug>3) printf("centrality: %f\n",cent);
906
907 return GetCentralityClass(cent);
908
909}
910
911//________________________________________________________________________
c3db108c 912Int_t AliPWG4HighPtTrackQA::GetCentralityClass(Float_t cent) const
913{
669e2312 914 //
915 // Get centrality class
916 //
917
918 if(cent<0) return 5; // OB - cent sometimes negative
919 if(cent>80) return 4;
920 if(cent>50) return 3;
921 if(cent>30) return 2;
922 if(cent>10) return 1;
d756027f 923 return 0;
924
925}
926
927//________________________________________________________________________
c3db108c 928void AliPWG4HighPtTrackQA::UserExec(Option_t *)
929{
d756027f 930 // Main loop
931 // Called for each event
932 AliDebug(2,Form(">> AliPWG4HighPtTrackQA::UserExec \n"));
933
934 fEvent = InputEvent();
935 fESD = dynamic_cast<AliESDEvent*>(InputEvent());
936
937 // All events without selection
938 fNEventAll->Fill(0.);
939
940 if(!SelectEvent()) {
941 // Post output data
942 PostData(1, fHistList);
943 return;
944 }
945
946
947 //Need to keep track of selected events
948 fNEventSel->Fill(0.);
949
950 fVariables = new TArrayF(fNVariables);
951
952 if(fDataType==kESD) DoAnalysisESD();
953 if(fDataType==kAOD) DoAnalysisAOD();
954
955 //Delete old fVariables
956 if(fVariables) delete fVariables;
957
958 // Post output data
959 PostData(1, fHistList);
960
961}
962
963//________________________________________________________________________
c3db108c 964void AliPWG4HighPtTrackQA::DoAnalysisESD()
965{
05cb235d 966 //
967 // Run analysis on ESD
968 //
d756027f 969
970 if(!fESD) {
971 PostData(1, fHistList);
972 return;
973 }
974
975 // ---- Get MC Header information (for MC productions in pThard bins) ----
976 Double_t ptHard = 0.;
977 Double_t nTrials = 1; // trials for MC trigger weight for real data
978
979 AliMCEventHandler *eventHandlerMC = dynamic_cast<AliMCEventHandler*> (AliAnalysisManager::GetAnalysisManager()->GetMCtruthEventHandler());
980 if (eventHandlerMC) {
981
982 if(eventHandlerMC->MCEvent()){
983 AliGenPythiaEventHeader* pythiaGenHeader = GetPythiaEventHeader(eventHandlerMC->MCEvent());
984 if(pythiaGenHeader){
985 nTrials = pythiaGenHeader->Trials();
986 ptHard = pythiaGenHeader->GetPtHard();
987
988 fh1PtHard->Fill(ptHard);
989 fh1PtHardTrials->Fill(ptHard,nTrials);
990
991 fh1Trials->Fill("#sum{ntrials}",fAvgTrials);
992 }
993 }
994 }
995
996 Int_t nTracks = fESD->GetNumberOfTracks();
997 AliDebug(2,Form("nTracks ESD%d", nTracks));
998
999 /*
1000 Variables to be put in fVariables
1001 0: pt
1002 1: phi
1003 2: eta
1004 3: dca2D
1005 4: dcaZ
1006 5: nClustersTPC
1007 6: nPointITS
1008 7: chi2C
1009 8: nSigmaToVertex
05cb235d 1010 9: trackLengthTPC
d756027f 1011 10: chi2PerClusterTPC
1012 11: #crossed rows
1013 12: (#crossed rows)/(#findable clusters)
2b553e6f 1014 13: SigmaY2
1015 14: SigmaZ2
1016 15: SigmaSnp2
1017 16: SigmaTgl2
1018 17: Sigma1Pt2
0f76d8ae 1019 18: NClustersTPCIter1
1020 19: Chi2TPCIter1
d889ce29 1021 20: nClustersTPCShared
dae7dd67 1022 21: Golden Chi2 - global vs TPC constrained
1023 22: Chi2 between global and global constrained
e49861e4 1024 23: #crossed rows from fit map
1025 24: (#crossed rows)/(#findable clusters) from fit map
0e8a59df 1026 25: chi2ITS
d756027f 1027 */
1028
1029 for (Int_t iTrack = 0; iTrack < nTracks; iTrack++) {
1030 fh1NTracksAll->Fill(0.);
1031
1032 //Get track for analysis
2b553e6f 1033 AliESDtrack *track = 0x0;
d756027f 1034 AliESDtrack *esdtrack = fESD->GetTrack(iTrack);
1035 if(!esdtrack) {
1036 fh1NTracksReject->Fill("noESDtrack",1);
1037 continue;
1038 }
509dc845 1039 AliESDtrack *origtrack = new AliESDtrack(*esdtrack);
2926ddbb 1040 if(!origtrack)
1041 continue;
d756027f 1042
aa3ba8d2 1043 if(fTrackType==4) {
aa3ba8d2 1044 if (!(fTrackCuts->AcceptTrack(esdtrack))) {
1045 fh1NTracksReject->Fill("trackCuts",1);
42881dab 1046 if(origtrack) delete origtrack;
aa3ba8d2 1047 continue;
1048 }
1049 }
1050
d756027f 1051 if(fTrackType==1)
1052 track = AliESDtrackCuts::GetTPCOnlyTrack(fESD,esdtrack->GetID());
aa3ba8d2 1053 else if(fTrackType==2 || fTrackType==4) {
2461511f 1054 track = AliESDtrackCuts::GetTPCOnlyTrack(const_cast<AliESDEvent*>(fESD),esdtrack->GetID());
d756027f 1055 if(!track) {
1056 fh1NTracksReject->Fill("noTPConly",1);
42881dab 1057 if(origtrack) delete origtrack;
d756027f 1058 continue;
1059 }
1060 AliExternalTrackParam exParam;
1061 Bool_t relate = track->RelateToVertexTPC(fVtx,fESD->GetMagneticField(),kVeryBig,&exParam);
1062 if( !relate ) {
1063 fh1NTracksReject->Fill("relate",1);
fb4a2fc7 1064 if(track) delete track;
42881dab 1065 if(origtrack) delete origtrack;
d756027f 1066 continue;
1067 }
1068 track->Set(exParam.GetX(),exParam.GetAlpha(),exParam.GetParameter(),exParam.GetCovariance());
1069 }
44684f3b 1070 else if(fTrackType==5 || fTrackType==6) {
1071 if(fTrackCuts->AcceptTrack(esdtrack)) {
42881dab 1072 if(origtrack) delete origtrack;
44684f3b 1073 continue;
1074 }
1075 else {
1076 if( !(fTrackCutsITSLoose->AcceptTrack(esdtrack)) && fTrackCutsTPConly->AcceptTrack(esdtrack) ) {
1077
1078 if(fTrackType==5) {
1079 //use TPConly constrained track
1080 track = AliESDtrackCuts::GetTPCOnlyTrack(fESD,esdtrack->GetID());
2bdab66e 1081 if(!track) {
1082 fh1NTracksReject->Fill("noTPConly",1);
42881dab 1083 if(origtrack) delete origtrack;
2bdab66e 1084 continue;
1085 }
44684f3b 1086 AliExternalTrackParam exParam;
1087 Bool_t relate = track->RelateToVertexTPC(fVtx,fESD->GetMagneticField(),kVeryBig,&exParam);
1088 if( !relate ) {
1089 fh1NTracksReject->Fill("relate",1);
fb4a2fc7 1090 if(track) delete track;
42881dab 1091 if(origtrack) delete origtrack;
44684f3b 1092 continue;
1093 }
1094 track->Set(exParam.GetX(),exParam.GetAlpha(),exParam.GetParameter(),exParam.GetCovariance());
1095 }
1096 else if(fTrackType==6) {
1097 //use global constrained track
42881dab 1098 track = new AliESDtrack(*esdtrack);
44684f3b 1099 track->Set(esdtrack->GetConstrainedParam()->GetX(),esdtrack->GetConstrainedParam()->GetAlpha(),esdtrack->GetConstrainedParam()->GetParameter(),esdtrack->GetConstrainedParam()->GetCovariance());
1100
1101 }
1102 }
1103 }
1104 }
d3a3f33d 1105 else if(fTrackType==7) {
1106 //use global constrained track
dae7dd67 1107 track = new AliESDtrack(*esdtrack);
d3a3f33d 1108 }
d756027f 1109 else
1110 track = esdtrack;
1111
42881dab 1112 if(!track) {
1113 if(origtrack) delete origtrack;
d756027f 1114 continue;
42881dab 1115 }
d756027f 1116
fb4a2fc7 1117 if(fTrackType==2 || fTrackType==4 || fTrackType==5) {
2b553e6f 1118 //Cut on chi2 of constrained fit
aa3ba8d2 1119 if(track->GetConstrainedChi2TPC() > fSigmaConstrainedMax*fSigmaConstrainedMax && fSigmaConstrainedMax>0.) {
2b553e6f 1120 fh1NTracksReject->Fill("chi2",1);
fb4a2fc7 1121 if(track) delete track;
42881dab 1122 if(origtrack) delete origtrack;
2b553e6f 1123 continue;
1124 }
1125 }
1126
d756027f 1127 fPtAll->Fill(track->Pt());
1128
44684f3b 1129 if (!(fTrackCuts->AcceptTrack(track)) && fTrackType!=4 && fTrackType!=5 && fTrackType!=6) {
d756027f 1130 fh1NTracksReject->Fill("trackCuts",1);
42881dab 1131 if(fTrackType==1 || fTrackType==2 || fTrackType==7) {
2461511f 1132 if(track) delete track;
fb4a2fc7 1133 }
42881dab 1134 if(origtrack) delete origtrack;
d756027f 1135 continue;
1136 }
aa3ba8d2 1137
031aac8e 1138 if(fTrackType==7) {
327d12da 1139 if(fTrackCutsITSLoose ) {
dae7dd67 1140 if(fTrackCutsITSLoose->AcceptTrack(track) ) {
1141 if(track) delete track;
42881dab 1142 if(origtrack) delete origtrack;
327d12da 1143 continue;
dae7dd67 1144 }
327d12da 1145 }
1146
031aac8e 1147 if(esdtrack->GetConstrainedParam())
1148 track->Set(esdtrack->GetConstrainedParam()->GetX(),esdtrack->GetConstrainedParam()->GetAlpha(),esdtrack->GetConstrainedParam()->GetParameter(),esdtrack->GetConstrainedParam()->GetCovariance());
031aac8e 1149 }
1150
dae7dd67 1151 if(!track) {
42881dab 1152 if(fTrackType==1 || fTrackType==2 || fTrackType==4 || fTrackType==5 || fTrackType==6 || fTrackType==7) {
dae7dd67 1153 if(track) delete track;
1154 }
42881dab 1155 if(origtrack) delete origtrack;
dae7dd67 1156 continue;
1157 }
1158
d756027f 1159 fh1NTracksSel->Fill(0.);
1160
1161 fVariables->Reset(0.);
1162
2b553e6f 1163 fVariables->SetAt(track->Pt(),0);
1164 fVariables->SetAt(track->Phi(),1);
1165 fVariables->SetAt(track->Eta(),2);
d756027f 1166
1167 Float_t dca2D = 0.;
1168 Float_t dcaz = 0.;
031aac8e 1169
1170 if(fTrackType==1 || fTrackType==2 || fTrackType==4) {
1171 track->GetImpactParametersTPC(dca2D,dcaz); //TPConly
d756027f 1172 }
031aac8e 1173 else
1174 track->GetImpactParameters(dca2D,dcaz); //Global
1175
d756027f 1176 fVariables->SetAt(dca2D,3);
dae7dd67 1177 fVariables->SetAt(dcaz,4);
d756027f 1178
1179 fVariables->SetAt((float)track->GetTPCNcls(),5);
1180
1181 Int_t nPointITS = 0;
b8f6bad5 1182 fITSClusterMap = track->GetITSClusterMap();
d756027f 1183 UChar_t itsMap = track->GetITSClusterMap();
1184 for (Int_t i=0; i < 6; i++) {
1185 if (itsMap & (1 << i))
1186 nPointITS ++;
1187 }
1188 fVariables->SetAt((float)nPointITS,6);
2b553e6f 1189 Float_t chi2C = (float)track->GetConstrainedChi2();
aa3ba8d2 1190 if(fTrackType==1 || fTrackType==2 || fTrackType==4)
2b553e6f 1191 chi2C = (float)track->GetConstrainedChi2TPC();
1192 fVariables->SetAt(chi2C,7);
d756027f 1193 fVariables->SetAt(fTrackCuts->GetSigmaToVertex(track),8);// Calculates the number of sigma to the vertex for a track.
1194
05cb235d 1195 fVariables->SetAt(GetTrackLengthTPC(track),9);
d756027f 1196
1197 if(fVariables->At(5)>0.) fVariables->SetAt(track->GetTPCchi2()/fVariables->At(5),10);
1198
a337a5a9 1199 //fVariables->SetAt(track->GetTPCClusterInfo(2,1),11); //#crossed rows
a5e0d236 1200 fVariables->SetAt(track->GetTPCCrossedRows(),11); //#crossed rows
a337a5a9 1201
44684f3b 1202 Float_t crossedRowsTPCNClsF = 1.;//track->GetTPCClusterInfo(2,0);
1203 if(track->GetTPCNclsF()>0.) crossedRowsTPCNClsF = fVariables->At(11)/track->GetTPCNclsF();
d756027f 1204 fVariables->SetAt(crossedRowsTPCNClsF,12);//(#crossed rows)/(#findable clusters)
2b553e6f 1205 fVariables->SetAt(track->GetSigmaY2(),13);
1206 fVariables->SetAt(track->GetSigmaZ2(),14);
1207 fVariables->SetAt(track->GetSigmaSnp2(),15);
1208 fVariables->SetAt(track->GetSigmaTgl2(),16);
1209 fVariables->SetAt(track->GetSigma1Pt2(),17);
0f76d8ae 1210
1211 fVariables->SetAt(track->GetTPCNclsIter1(),18);
1212 fVariables->SetAt(track->GetTPCchi2Iter1(),19);
d889ce29 1213
1214 fVariables->SetAt(track->GetTPCnclsS(),20);
dae7dd67 1215
a5e0d236 1216 Float_t chi2Gold = origtrack->GetChi2TPCConstrainedVsGlobal(fVtx);//GetGoldenChi2(origtrack);
42881dab 1217 Float_t chi2GGC = GetGGCChi2(origtrack);
dae7dd67 1218
1219 fVariables->SetAt(chi2Gold,21);
1220 fVariables->SetAt(chi2GGC,22);
a5e0d236 1221
1222 fVariables->SetAt(GetTPCClusterInfoFitMap(track,2,1),23);
1223 Float_t crossedRowsTPCNClsFFit = 1.;
1224 if(track->GetTPCNclsF()>0.) crossedRowsTPCNClsFFit = fVariables->At(23)/track->GetTPCNclsF();
1225 fVariables->SetAt(crossedRowsTPCNClsFFit,24);
851fbc03 1226
0e8a59df 1227 fVariables->SetAt(track->GetITSchi2(),25);
1228
851fbc03 1229 TBits fitmap = track->GetTPCFitMap();
1230 fPtNClustersNClustersFitMap->Fill(track->Pt(),track->GetTPCNcls(),(float)fitmap.CountBits());
d756027f 1231
1232 FillHistograms();
1233
1234 // int mult = fTrackCuts->CountAcceptedTracks(fESD);
1235
42881dab 1236 if(fTrackType==1 || fTrackType==2 || fTrackType==4 || fTrackType==5 || fTrackType==6 || fTrackType==7) {
fb4a2fc7 1237 if(track) delete track;
1238 }
509dc845 1239 if(origtrack) delete origtrack;
d756027f 1240
1241 }//track loop
1242
1243}
1244
1245//________________________________________________________________________
c3db108c 1246void AliPWG4HighPtTrackQA::DoAnalysisAOD()
1247{
006b2a30 1248 //
1249 // Do QA on AOD input
1250 //
d756027f 1251 AliAODEvent *aod = dynamic_cast<AliAODEvent*>(fEvent);
adf3920d 1252 if(!aod) return;
941422ff 1253 AliExternalTrackParam exParam;
d756027f 1254 for (Int_t iTrack = 0; iTrack < fEvent->GetNumberOfTracks(); iTrack++) {
1255
f15c1f69 1256 AliAODTrack *aodtrack = dynamic_cast<AliAODTrack*>(aod->GetTrack(iTrack));
1257 if(!aodtrack) AliFatal("Not a standard AOD");
adf3920d 1258 if( !aodtrack->TestFilterMask(fFilterMask) ) {
1259 fh1NTracksReject->Fill("noHybridTrack",1);
1260 continue;
1261 }
d756027f 1262
584095b1 1263 if(!fIncludeNoITS) {
1264 if ((aodtrack->GetStatus()&AliESDtrack::kITSrefit)==0) {
1265 fh1NTracksReject->Fill("noITSrefit",1);
1266 continue;
1267 }
1268 }
1269
d756027f 1270 fVariables->Reset(0.);
1271
1272 fVariables->SetAt(aodtrack->Pt(),0);
1273 fVariables->SetAt(aodtrack->Phi(),1);
1274 fVariables->SetAt(aodtrack->Eta(),2);
491bba9d 1275
1276 Double_t dca[2] = {0.,0.};
1277 if(aodtrack->IsGlobalConstrained()) {
1278 dca[0] = aodtrack->DCA();
1279 dca[1] = aodtrack->ZAtDCA();
1280 } else {
1281 Double_t v[3] = {0};
1282 Double_t pos[3] = {0};
1283 fVtxAOD->GetXYZ(v);
1284 aodtrack->GetXYZ(pos);
1285 dca[0] = pos[0] - v[0];
1286 dca[1] = pos[1] - v[1];
1287 }
1288 fVariables->SetAt(dca[0],3);
1289 fVariables->SetAt(dca[1],4);
d756027f 1290 fVariables->SetAt((float)aodtrack->GetTPCNcls(),5);
1291 fVariables->SetAt((float)aodtrack->GetITSNcls(),6);
8ef7340c 1292 fVariables->SetAt(0.,7); //ConstrainedChi2TPC -> not available in AOD
d756027f 1293 fVariables->SetAt(0.,8);
c3ff0a6e 1294 fVariables->SetAt(GetTrackLengthTPC(aodtrack),9);
8ef7340c 1295 Float_t chi2pndf = aodtrack->Chi2perNDF();
1296 //if(fVariables->At(5)>0.) chi2pndf = aodtrack->GetTPCchi2()/fVariables->At(5);
1297 fVariables->SetAt(chi2pndf,10);
e49861e4 1298 fVariables->SetAt(GetTPCClusterInfo(aodtrack,2,1,0,159,kFALSE),11);
d756027f 1299 Float_t crossedRowsTPCNClsF = 0.;
1300 if(aodtrack->GetTPCNclsF()>0.) crossedRowsTPCNClsF = fVariables->At(11)/aodtrack->GetTPCNclsF();
1301 fVariables->SetAt(crossedRowsTPCNClsF,12);
c3ff0a6e 1302
1303 //get covariance matrix
1304 Double_t cov[21] = {0,};
1305 aodtrack->GetCovMatrix(cov);
1306 Double_t pxpypz[3] = {0,};
1307 aodtrack->PxPyPz(pxpypz);
1308 Double_t xyz[3] = {0,};
1309 aodtrack->GetXYZ(xyz);
1310 Short_t sign = aodtrack->Charge();
941422ff 1311 exParam.Set(xyz,pxpypz,cov,sign);
c3ff0a6e 1312
941422ff 1313 fVariables->SetAt(exParam.GetSigmaY2(),13);
1314 fVariables->SetAt(exParam.GetSigmaZ2(),14);
1315 fVariables->SetAt(exParam.GetSigmaSnp2(),15);
1316 fVariables->SetAt(exParam.GetSigmaTgl2(),16);
1317 fVariables->SetAt(exParam.GetSigma1Pt2(),17);
c3ff0a6e 1318
e49861e4 1319 fVariables->SetAt(0.,18); //NClustersTPCIter1
1320 fVariables->SetAt(0.,19); //Chi2TPCIter1
d889ce29 1321
1322 TBits sharedClusterMap = aodtrack->GetTPCSharedMap();
1323 fVariables->SetAt(sharedClusterMap.CountBits(),20);
d756027f 1324
e49861e4 1325 fVariables->SetAt(0.,21); //not available in AOD golden chi2
1326 fVariables->SetAt(0.,22); //not available in AOD Chi2 between global and global constrained
dae7dd67 1327
e49861e4 1328 fVariables->SetAt(GetTPCClusterInfo(aodtrack,2,1,0,159,kTRUE),23); //not available in AOD #crossed rows from fit map
1329 Float_t crossedRowsTPCNClsFFit = 0.;
1330 if(aodtrack->GetTPCNclsF()>0.) crossedRowsTPCNClsFFit = fVariables->At(23)/aodtrack->GetTPCNclsF();
1331 fVariables->SetAt(crossedRowsTPCNClsFFit,24); //(#crossed rows)/(#findable clusters) from fit map
a5e0d236 1332
0e8a59df 1333 fVariables->SetAt(0.,25);
1334
d756027f 1335 fPtAll->Fill(fVariables->At(0));
1336
1337 FillHistograms();
d756027f 1338 }
d756027f 1339}
1340
1341//________________________________________________________________________
c3db108c 1342void AliPWG4HighPtTrackQA::FillHistograms()
1343{
006b2a30 1344 //
1345 // Fill all QA histograms
1346 //
d756027f 1347
1348 fPtSel->Fill(fVariables->At(0));
1349 fPtPhi->Fill(fVariables->At(0),fVariables->At(1));
1350 fPtEta->Fill(fVariables->At(0),fVariables->At(2));
584095b1 1351 fPtEtaPhi->Fill(fVariables->At(0),fVariables->At(2),fVariables->At(1));
d756027f 1352 fPtDCA2D->Fill(fVariables->At(0),fVariables->At(3));
1353 fPtDCAZ->Fill(fVariables->At(0),fVariables->At(4));
1354 fPtNClustersTPC->Fill(fVariables->At(0),fVariables->At(5));
c3db108c 1355 fPtNClustersTPCPhi->Fill(fVariables->At(1),fVariables->At(5));
d756027f 1356 fPtNPointITS->Fill(fVariables->At(0),fVariables->At(6));
0714a353 1357 fPtNPointITSPhi->Fill(fVariables->At(0),fVariables->At(6),fVariables->At(1));
c3ff0a6e 1358
1359 fPtNClustersTPCIter1->Fill(fVariables->At(0),fVariables->At(18));
a5e0d236 1360 fPtNClustersTPCIter1Phi->Fill(fVariables->At(0),fVariables->At(18),fVariables->At(1));
d889ce29 1361 fPtNClustersTPCShared->Fill(fVariables->At(0),fVariables->At(20));
1362 if(fVariables->At(5)>0.)
1363 fPtNClustersTPCSharedFrac->Fill(fVariables->At(0),fVariables->At(20)/fVariables->At(5));
1364
c3ff0a6e 1365 if(fVariables->At(18)>0.)
1366 fPtChi2PerClusterTPCIter1->Fill(fVariables->At(0),fVariables->At(19)/fVariables->At(18));
1367
1368 fPtChi2C->Fill(fVariables->At(0),fVariables->At(7));
1369 fPtNSigmaToVertex->Fill(fVariables->At(0),fVariables->At(8));
1370 fPtRelUncertainty1Pt->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)));
1371 fPtRelUncertainty1PtNClus->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(5));
1372 fPtRelUncertainty1PtNClusIter1->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(18));
b8f6bad5 1373 fPtRelUncertainty1PtNPointITS->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(6));
1374
1375 fPtRelUncertainty1PtITSClusterMap->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),(int)fITSClusterMap);
1376
c3ff0a6e 1377 fPtRelUncertainty1PtChi2->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(10));
1378 if(fVariables->At(18)>0.)
1379 fPtRelUncertainty1PtChi2Iter1->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(19)/fVariables->At(18));
1380 fPtRelUncertainty1PtPhi->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(1));
c3ff0a6e 1381
c3ff0a6e 1382 fPtSigmaY2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(13)));
1383 fPtSigmaZ2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(14)));
1384 fPtSigmaSnp2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(15)));
1385 fPtSigmaTgl2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(16)));
1386 fPtSigma1Pt2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(17)));
1387
1388 fProfPtSigmaY2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(13)));
1389 fProfPtSigmaZ2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(14)));
1390 fProfPtSigmaSnp2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(15)));
1391 fProfPtSigmaTgl2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(16)));
1392 fProfPtSigma1Pt2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(17)));
1393 fProfPtSigma1Pt->Fill(fVariables->At(0),TMath::Sqrt(fVariables->At(17)));
1394 fProfPtPtSigma1Pt->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)));
1395
d756027f 1396 fPtChi2PerClusterTPC->Fill(fVariables->At(0),fVariables->At(10));
1397 fPtNCrossedRows->Fill(fVariables->At(0),fVariables->At(11));
a337a5a9 1398 fPtNCrossedRowsPhi->Fill(fVariables->At(0),fVariables->At(11),fVariables->At(1));
b8f6bad5 1399 fPtNCrossedRowsNClusFPhi->Fill(fVariables->At(0),fVariables->At(12),fVariables->At(1));
d756027f 1400 fPtNCrRNCrRNClusF->Fill(fVariables->At(0),fVariables->At(11),fVariables->At(12));
d889ce29 1401
dae7dd67 1402 fPtChi2Gold->Fill(fVariables->At(0),fVariables->At(21));
1403 fPtChi2GGC->Fill(fVariables->At(0),fVariables->At(22));
1404
1405 fPtChi2GoldPhi->Fill(fVariables->At(0),fVariables->At(21),fVariables->At(1));
1406 fPtChi2GGCPhi->Fill(fVariables->At(0),fVariables->At(22),fVariables->At(1));
1407
1408 fChi2GoldChi2GGC->Fill(fVariables->At(21),fVariables->At(22));
1409
a5e0d236 1410 fPtNCrossedRowsFit->Fill(fVariables->At(0),fVariables->At(23));
a337a5a9 1411 fPtNCrossedRowsFitPhi->Fill(fVariables->At(0),fVariables->At(23),fVariables->At(1));
b8f6bad5 1412 fPtNCrossedRowsNClusFFitPhi->Fill(fVariables->At(0),fVariables->At(24),fVariables->At(1));
a337a5a9 1413 fNCrossedRowsNCrossedRowsFit->Fill(fVariables->At(11),fVariables->At(23));
a5e0d236 1414
a337a5a9 1415 fNClustersNCrossedRows->Fill(fVariables->At(5),fVariables->At(11));
1416 fNClustersNCrossedRowsFit->Fill(fVariables->At(5),fVariables->At(23));
dae7dd67 1417
b8f6bad5 1418 fPtRelUncertainty1PtNCrossedRows->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(11));
1419 fPtRelUncertainty1PtNCrossedRowsFit->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(23));
1420
0e8a59df 1421 if(fVariables->At(6)>0.)
1422 fPtChi2ITSPhi->Fill(fVariables->At(0),fVariables->At(25)/fVariables->At(6),fVariables->At(1));
1423
d756027f 1424}
1425
1426//________________________________________________________________________
c3db108c 1427Bool_t AliPWG4HighPtTrackQA::PythiaInfoFromFile(const char* currFile,Float_t &fXsec,Float_t &fTrials)
1428{
d756027f 1429 //
1430 // get the cross section and the trails either from pyxsec.root or from pysec_hists.root
1431 // This is to called in Notify and should provide the path to the AOD/ESD file
1432 // Copied from AliAnalysisTaskJetSpectrum2
1433 //
1434
1435 TString file(currFile);
1436 fXsec = 0;
1437 fTrials = 1;
1438
1439 if(file.Contains("root_archive.zip#")){
1440 Ssiz_t pos1 = file.Index("root_archive",12,TString::kExact);
1441 Ssiz_t pos = file.Index("#",1,pos1,TString::kExact);
1442 file.Replace(pos+1,20,"");
1443 }
1444 else {
1445 // not an archive take the basename....
1446 file.ReplaceAll(gSystem->BaseName(file.Data()),"");
1447 }
d756027f 1448
1449 TFile *fxsec = TFile::Open(Form("%s%s",file.Data(),"pyxsec.root")); // problem that we cannot really test the existance of a file in a archive so we have to lvie with open error message from root
1450 if(!fxsec){
1451 // next trial fetch the histgram file
1452 fxsec = TFile::Open(Form("%s%s",file.Data(),"pyxsec_hists.root"));
1453 if(!fxsec){
1454 // not a severe condition but inciate that we have no information
1455 return kFALSE;
1456 }
1457 else{
1458 // find the tlist we want to be independtent of the name so use the Tkey
1459 TKey* key = (TKey*)fxsec->GetListOfKeys()->At(0);
1460 if(!key){
1461 fxsec->Close();
1462 return kFALSE;
1463 }
1464 TList *list = dynamic_cast<TList*>(key->ReadObj());
1465 if(!list){
1466 fxsec->Close();
1467 return kFALSE;
1468 }
1469 fXsec = ((TProfile*)list->FindObject("h1Xsec"))->GetBinContent(1);
1470 fTrials = ((TH1F*)list->FindObject("h1Trials"))->GetBinContent(1);
1471 fxsec->Close();
1472 }
1473 } // no tree pyxsec.root
1474 else {
1475 TTree *xtree = (TTree*)fxsec->Get("Xsection");
1476 if(!xtree){
1477 fxsec->Close();
1478 return kFALSE;
1479 }
1480 UInt_t ntrials = 0;
1481 Double_t xsection = 0;
1482 xtree->SetBranchAddress("xsection",&xsection);
1483 xtree->SetBranchAddress("ntrials",&ntrials);
1484 xtree->GetEntry(0);
1485 fTrials = ntrials;
1486 fXsec = xsection;
1487 fxsec->Close();
1488 }
1489 return kTRUE;
1490}
c3db108c 1491
d756027f 1492//________________________________________________________________________
1493Bool_t AliPWG4HighPtTrackQA::Notify()
1494{
1495 //
1496 // Implemented Notify() to read the cross sections
1497 // and number of trials from pyxsec.root
1498 // Copied from AliAnalysisTaskJetSpectrum2
1499 //
1500
1501 TTree *tree = AliAnalysisManager::GetAnalysisManager()->GetTree();
1502 Float_t xsection = 0;
1503 Float_t ftrials = 1;
1504
1505 fAvgTrials = 1;
1506 if(tree){
1507 TFile *curfile = tree->GetCurrentFile();
1508 if (!curfile) {
1509 Error("Notify","No current file");
1510 return kFALSE;
1511 }
1512 if(!fh1Xsec||!fh1Trials){
1513 // Printf("%s%d No Histogram fh1Xsec",(char*)__FILE__,__LINE__);
1514 return kFALSE;
1515 }
1516 PythiaInfoFromFile(curfile->GetName(),xsection,ftrials);
1517 fh1Xsec->Fill("<#sigma>",xsection);
1518 // construct a poor man average trials
1519 Float_t nEntries = (Float_t)tree->GetTree()->GetEntries();
1520 if(ftrials>=nEntries && nEntries>0.)fAvgTrials = ftrials/nEntries;
1521 }
1522 return kTRUE;
1523}
1524
1525//________________________________________________________________________
c3db108c 1526AliGenPythiaEventHeader* AliPWG4HighPtTrackQA::GetPythiaEventHeader(const AliMCEvent *mcEvent)
1527{
d756027f 1528
1529 if(!mcEvent)return 0;
1530 AliGenEventHeader* genHeader = mcEvent->GenEventHeader();
1531 AliGenPythiaEventHeader* pythiaGenHeader = dynamic_cast<AliGenPythiaEventHeader*>(genHeader);
1532 if(!pythiaGenHeader){
1533 // cocktail ??
1534 AliGenCocktailEventHeader* genCocktailHeader = dynamic_cast<AliGenCocktailEventHeader*>(genHeader);
1535
1536 if (!genCocktailHeader) {
1537 // AliWarningGeneral(Form(" %s:%d",(char*)__FILE__,__LINE__),"Unknown header type (not Pythia or Cocktail)");
1538 // AliWarning(Form("%s %d: Unknown header type (not Pythia or Cocktail)",(char*)__FILE__,__LINE__));
1539 return 0;
1540 }
1541 TList* headerList = genCocktailHeader->GetHeaders();
1542 for (Int_t i=0; i<headerList->GetEntries(); i++) {
1543 pythiaGenHeader = dynamic_cast<AliGenPythiaEventHeader*>(headerList->At(i));
1544 if (pythiaGenHeader)
1545 break;
1546 }
1547 if(!pythiaGenHeader){
1548 AliWarningGeneral(Form(" %s:%d",(char*)__FILE__,__LINE__),"Pythia event header not found");
1549 return 0;
1550 }
1551 }
1552 return pythiaGenHeader;
1553
1554}
1555
1556//_______________________________________________________________________
e49861e4 1557Float_t AliPWG4HighPtTrackQA::GetTPCClusterInfo(const AliAODTrack *tr,Int_t nNeighbours/*=3*/, Int_t type/*=0*/, Int_t row0, Int_t row1, Bool_t useFitMap) const
d756027f 1558{
1559 //MV: copied from AliESDtrack since method is not available in AliAODTrack
1560
1561 //
1562 // TPC cluster information
1563 // type 0: get fraction of found/findable clusters with neighbourhood definition
1564 // 1: findable clusters with neighbourhood definition
1565 // 2: found clusters
1566 //
1567 // definition of findable clusters:
1568 // a cluster is defined as findable if there is another cluster
1569 // within +- nNeighbours pad rows. The idea is to overcome threshold
1570 // effects with a very simple algorithm.
1571 //
1572
e49861e4 1573 TBits fTPCClusterMap = 0;
1574 if(useFitMap)
1575 fTPCClusterMap = tr->GetTPCFitMap();
1576 else
1577 fTPCClusterMap = tr->GetTPCClusterMap();
1578
d756027f 1579 if (type==2) return fTPCClusterMap.CountBits();
1580
1581 Int_t found=0;
1582 Int_t findable=0;
1583 Int_t last=-nNeighbours;
1584
1585 for (Int_t i=row0; i<row1; ++i){
1586 //look to current row
1587 if (fTPCClusterMap[i]) {
1588 last=i;
1589 ++found;
1590 ++findable;
1591 continue;
1592 }
1593 //look to nNeighbours before
1594 if ((i-last)<=nNeighbours) {
1595 ++findable;
1596 continue;
1597 }
1598 //look to nNeighbours after
1599 for (Int_t j=i+1; j<i+1+nNeighbours; ++j){
1600 if (fTPCClusterMap[j]){
1601 ++findable;
1602 break;
1603 }
1604 }
1605 }
1606 if (type==1) return findable;
1607
1608 if (type==0){
1609 Float_t fraction=0;
1610 if (findable>0)
1611 fraction=(Float_t)found/(Float_t)findable;
1612 else
1613 fraction=0;
1614 return fraction;
1615 }
1616 return 0; // undefined type - default value
1617}
1618
a5e0d236 1619//_______________________________________________________________________
006b2a30 1620Float_t AliPWG4HighPtTrackQA::GetTPCClusterInfoFitMap(const AliESDtrack *tr,Int_t nNeighbours/*=3*/, Int_t type/*=0*/, Int_t row0, Int_t row1) const
a5e0d236 1621{
1622 //
1623 // TPC cluster information from fit map
1624 // type 0: get fraction of found/findable clusters with neighbourhood definition
1625 // 1: findable clusters with neighbourhood definition
1626 // 2: found clusters
1627 //
1628 // definition of findable clusters:
1629 // a cluster is defined as findable if there is another cluster
1630 // within +- nNeighbours pad rows. The idea is to overcome threshold
1631 // effects with a very simple algorithm.
1632 //
1633
1634 TBits fTPCFitMap = tr->GetTPCFitMap();
1635 if (type==2) return fTPCFitMap.CountBits();
1636
1637 Int_t found=0;
1638 Int_t findable=0;
1639 Int_t last=-nNeighbours;
1640
1641 for (Int_t i=row0; i<row1; ++i){
1642 //look to current row
1643 if (fTPCFitMap[i]) {
1644 last=i;
1645 ++found;
1646 ++findable;
1647 continue;
1648 }
1649 //look to nNeighbours before
1650 if ((i-last)<=nNeighbours) {
1651 ++findable;
1652 continue;
1653 }
1654 //look to nNeighbours after
1655 for (Int_t j=i+1; j<i+1+nNeighbours; ++j){
1656 if (fTPCFitMap[j]){
1657 ++findable;
1658 break;
1659 }
1660 }
1661 }
1662 if (type==1) return findable;
1663
1664 if (type==0){
1665 Float_t fraction=0;
1666 if (findable>0)
1667 fraction=(Float_t)found/(Float_t)findable;
1668 else
1669 fraction=0;
1670 return fraction;
1671 }
1672 return 0; // undefined type - default value
1673}
1674
05cb235d 1675//_______________________________________________________________________
c3db108c 1676Int_t AliPWG4HighPtTrackQA::GetTrackLengthTPC(const AliESDtrack *track) const
1677{
05cb235d 1678 //
c3ff0a6e 1679 // returns distance between 1st and last hit in TPC
1680 // distance given in number of padrows
1681 //
1682
1683 TBits fTPCClusterMap = track->GetTPCClusterMap();
1684 int firstHit = 0;
1685 int lastHit = 0;
1686
1687 for(int i=0; i<=159; i++) {
1688 if(fTPCClusterMap[i]>0) firstHit = i;
1689 }
1690 for(int i=159; i>=0; i--) {
1691 if(fTPCClusterMap[i]>0) lastHit = i;
1692 }
1693
1694 Int_t trackLength = lastHit - firstHit;
1695
1696 return trackLength;
1697}
1698
1699//_______________________________________________________________________
c3db108c 1700Int_t AliPWG4HighPtTrackQA::GetTrackLengthTPC(const AliAODTrack *track) const
1701{
c3ff0a6e 1702 //
1703 // returns distance between 1st and last hit in TPC
05cb235d 1704 // distance given in number of padrows
1705 //
1706
1707 TBits fTPCClusterMap = track->GetTPCClusterMap();
1708 int firstHit = 0;
1709 int lastHit = 0;
1710
c3ff0a6e 1711 for(int i=0; i<=159; i++) {
1712 if(fTPCClusterMap[i]>0) firstHit = i;
05cb235d 1713 }
1714 for(int i=159; i>=0; i--) {
c3ff0a6e 1715 if(fTPCClusterMap[i]>0) lastHit = i;
05cb235d 1716 }
1717
c3ff0a6e 1718 Int_t trackLength = lastHit - firstHit;
1719
1720 return trackLength;
05cb235d 1721}
1722
dae7dd67 1723//_______________________________________________________________________
c3db108c 1724Float_t AliPWG4HighPtTrackQA::GetGoldenChi2(AliESDtrack *origtrack)
1725{
dae7dd67 1726 //
1727 // Return chi2 between global and TPC constrained track
42881dab 1728 // track should be the global unconstrained track
dae7dd67 1729 //
1730
1731 Float_t chi2Gold = 0.;
1732
dae7dd67 1733 AliESDtrack *tpcTrack = 0x0;
42881dab 1734 tpcTrack = AliESDtrackCuts::GetTPCOnlyTrack(fESD,origtrack->GetID());
dae7dd67 1735 if(tpcTrack) {
1736 AliExternalTrackParam exParam;
1737 Bool_t relate = tpcTrack->RelateToVertexTPC(fVtx,fESD->GetMagneticField(),kVeryBig,&exParam);
1738 if( relate ) {
1739 tpcTrack->Set(exParam.GetX(),exParam.GetAlpha(),exParam.GetParameter(),exParam.GetCovariance());
1740 // Double_t pTPC[2],covTPC[3]; tpcTrack->PropagateToDCA(fVtx, fESD->GetMagneticField(), 10000, pTPC, covTPC);
1741 }
1742
42881dab 1743 tpcTrack->Propagate(origtrack->GetAlpha(), origtrack->GetX(), fESD->GetMagneticField());
1744 chi2Gold = (Float_t)origtrack->GetPredictedChi2(tpcTrack);
dae7dd67 1745 }
1746
1747 if(tpcTrack) delete tpcTrack;
1748
1749 return chi2Gold;
1750
1751}
1752
1753//_______________________________________________________________________
c3db108c 1754Float_t AliPWG4HighPtTrackQA::GetGGCChi2(AliESDtrack *origtrack)
1755{
dae7dd67 1756 //
1757 // Return chi2 between global and global constrained track
42881dab 1758 // track should be the global unconstrained track
dae7dd67 1759 //
1760
1761 Float_t chi2GGC = 0.;
1762
42881dab 1763 AliESDtrack *esdtrackC = new AliESDtrack(*origtrack);
1764 if(esdtrackC) {
c49eda44 1765 if(origtrack->GetConstrainedParam()) {
1766 esdtrackC->Set(origtrack->GetConstrainedParam()->GetX(),origtrack->GetConstrainedParam()->GetAlpha(),origtrack->GetConstrainedParam()->GetParameter(),origtrack->GetConstrainedParam()->GetCovariance());
1767 chi2GGC = (Float_t)origtrack->GetPredictedChi2(esdtrackC);
1768 }
42881dab 1769 delete esdtrackC;
dae7dd67 1770 }
42881dab 1771
dae7dd67 1772 return chi2GGC;
1773
1774}
1775
d756027f 1776//________________________________________________________________________
1777void AliPWG4HighPtTrackQA::Terminate(Option_t *)
1778{
1779 // The Terminate() function is the last function to be called during
1780 // a query. It always runs on the client, it can be used to present
1781 // the results graphically or save the results to file.
1782
1783}
1784
1785#endif