]> git.uio.no Git - u/mrichter/AliRoot.git/blame - PWGJE/AliPWG4HighPtTrackQA.cxx
git://git.uio.no / u / mrichter / AliRoot.git / blame
? search:
summary | shortlog | log | commit | commitdiff | tree
blob | blame (incremental) | history | HEAD
Macros to run the analysis trains (Mihaela)
[u/mrichter/AliRoot.git] / PWGJE / AliPWG4HighPtTrackQA.cxx
CommitLineData
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//-----------------------------------------------------------------------
21// Author : Marta Verweij - UU
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"
55//#include "AliAnalysisHelperJetTasks.h"
56
57using namespace std; //required for resolving the 'cout' symbol
58
59ClassImp(AliPWG4HighPtTrackQA)
60
61AliPWG4HighPtTrackQA::AliPWG4HighPtTrackQA()
62: AliAnalysisTaskSE(),
63 fDataType(kESD),
64 fEvent(0x0),
65 fESD(0x0),
66 fVtx(0x0),
44684f3b 67 fTrackCuts(0x0),
68 fTrackCutsITSLoose(0x0),
69 fTrackCutsTPConly(0x0),
d756027f 70 fTrackType(0),
71 fFilterMask(0),
aa3ba8d2 72 fSigmaConstrainedMax(-1.),
d756027f 73 fPtMax(100.),
74 fIsPbPb(0),
75 fCentClass(10),
a5e0d236 76 fNVariables(25),
d756027f 77 fVariables(0x0),
b8f6bad5 78 fITSClusterMap(0),
d756027f 79 fAvgTrials(1),
80 fNEventAll(0),
81 fNEventSel(0),
82 fNEventReject(0),
83 fh1Centrality(0x0),
84 fh1Xsec(0),
85 fh1Trials(0),
86 fh1PtHard(0),
87 fh1PtHardTrials(0),
88 fh1NTracksAll(0x0),
89 fh1NTracksReject(0x0),
90 fh1NTracksSel(0x0),
91 fPtAll(0),
92 fPtSel(0),
93 fPtPhi(0x0),
94 fPtEta(0x0),
95 fPtDCA2D(0x0),
96 fPtDCAZ(0x0),
97 fPtNClustersTPC(0x0),
0f76d8ae 98 fPtNClustersTPCIter1(0x0),
a5e0d236 99 fPtNClustersTPCIter1Phi(0x0),
d889ce29 100 fPtNClustersTPCShared(0x0),
101 fPtNClustersTPCSharedFrac(0x0),
d756027f 102 fPtNPointITS(0x0),
103 fPtChi2C(0x0),
104 fPtNSigmaToVertex(0x0),
105 fPtRelUncertainty1Pt(0x0),
05cb235d 106 fPtRelUncertainty1PtNClus(0x0),
0f76d8ae 107 fPtRelUncertainty1PtNClusIter1(0x0),
b8f6bad5 108 fPtRelUncertainty1PtNPointITS(0x0),
109 fPtRelUncertainty1PtITSClusterMap(0x0),
05cb235d 110 fPtRelUncertainty1PtChi2(0x0),
0f76d8ae 111 fPtRelUncertainty1PtChi2Iter1(0x0),
112 fPtRelUncertainty1PtPhi(0x0),
2b553e6f 113 fPtUncertainty1Pt(0x0),
d756027f 114 fPtChi2PerClusterTPC(0x0),
0f76d8ae 115 fPtChi2PerClusterTPCIter1(0x0),
d756027f 116 fPtNCrossedRows(0x0),
a337a5a9 117 fPtNCrossedRowsPhi(0x0),
b8f6bad5 118 fPtNCrossedRowsNClusFPhi(0x0),
d756027f 119 fPtNCrRNCrRNClusF(0x0),
a5e0d236 120 fPtNCrossedRowsFit(0x0),
a337a5a9 121 fPtNCrossedRowsFitPhi(0x0),
b8f6bad5 122 fPtNCrossedRowsNClusFFitPhi(0x0),
a337a5a9 123 fNCrossedRowsNCrossedRowsFit(0x0),
124 fNClustersNCrossedRows(0x0),
125 fNClustersNCrossedRowsFit(0x0),
b8f6bad5 126 fPtRelUncertainty1PtNCrossedRows(0x0),
127 fPtRelUncertainty1PtNCrossedRowsFit(0x0),
dae7dd67 128 fPtChi2Gold(0x0),
129 fPtChi2GGC(0x0),
130 fPtChi2GoldPhi(0x0),
131 fPtChi2GGCPhi(0x0),
132 fChi2GoldChi2GGC(0x0),
2b553e6f 133 fPtSigmaY2(0x0),
134 fPtSigmaZ2(0x0),
135 fPtSigmaSnp2(0x0),
136 fPtSigmaTgl2(0x0),
137 fPtSigma1Pt2(0x0),
aa3ba8d2 138 fProfPtSigmaY2(0x0),
139 fProfPtSigmaZ2(0x0),
140 fProfPtSigmaSnp2(0x0),
141 fProfPtSigmaTgl2(0x0),
142 fProfPtSigma1Pt2(0x0),
143 fProfPtSigma1Pt(0x0),
144 fProfPtPtSigma1Pt(0x0),
d756027f 145 fHistList(0)
146{
006b2a30 147 //
148 // Constructor
149 //
a5e0d236 150 SetNVariables(25);
aa3ba8d2 151
152 fPtBinEdges[0][0] = 10.;
153 fPtBinEdges[0][1] = 1.;
154 fPtBinEdges[1][0] = 20.;
155 fPtBinEdges[1][1] = 2.;
b1041e3b 156 fPtBinEdges[2][0] = 100.;
aa3ba8d2 157 fPtBinEdges[2][1] = 5.;
158
d756027f 159}
160//________________________________________________________________________
161AliPWG4HighPtTrackQA::AliPWG4HighPtTrackQA(const char *name):
162 AliAnalysisTaskSE(name),
163 fDataType(kESD),
164 fEvent(0x0),
165 fESD(0x0),
166 fVtx(0x0),
44684f3b 167 fTrackCuts(0x0),
168 fTrackCutsITSLoose(0x0),
169 fTrackCutsTPConly(0x0),
d756027f 170 fTrackType(0),
171 fFilterMask(0),
aa3ba8d2 172 fSigmaConstrainedMax(-1.),
d756027f 173 fPtMax(100.),
174 fIsPbPb(0),
175 fCentClass(10),
a5e0d236 176 fNVariables(25),
d756027f 177 fVariables(0x0),
b8f6bad5 178 fITSClusterMap(0),
d756027f 179 fAvgTrials(1),
180 fNEventAll(0),
181 fNEventSel(0),
182 fNEventReject(0),
183 fh1Centrality(0x0),
184 fh1Xsec(0),
185 fh1Trials(0),
186 fh1PtHard(0),
187 fh1PtHardTrials(0),
188 fh1NTracksAll(0x0),
189 fh1NTracksReject(0x0),
190 fh1NTracksSel(0x0),
191 fPtAll(0),
192 fPtSel(0),
193 fPtPhi(0x0),
194 fPtEta(0x0),
195 fPtDCA2D(0x0),
196 fPtDCAZ(0x0),
197 fPtNClustersTPC(0x0),
0f76d8ae 198 fPtNClustersTPCIter1(0x0),
a5e0d236 199 fPtNClustersTPCIter1Phi(0x0),
d889ce29 200 fPtNClustersTPCShared(0x0),
201 fPtNClustersTPCSharedFrac(0x0),
d756027f 202 fPtNPointITS(0x0),
203 fPtChi2C(0x0),
204 fPtNSigmaToVertex(0x0),
205 fPtRelUncertainty1Pt(0x0),
05cb235d 206 fPtRelUncertainty1PtNClus(0x0),
0f76d8ae 207 fPtRelUncertainty1PtNClusIter1(0x0),
b8f6bad5 208 fPtRelUncertainty1PtNPointITS(0x0),
209 fPtRelUncertainty1PtITSClusterMap(0x0),
05cb235d 210 fPtRelUncertainty1PtChi2(0x0),
0f76d8ae 211 fPtRelUncertainty1PtChi2Iter1(0x0),
212 fPtRelUncertainty1PtPhi(0x0),
2b553e6f 213 fPtUncertainty1Pt(0x0),
d756027f 214 fPtChi2PerClusterTPC(0x0),
0f76d8ae 215 fPtChi2PerClusterTPCIter1(0x0),
d756027f 216 fPtNCrossedRows(0x0),
a337a5a9 217 fPtNCrossedRowsPhi(0x0),
b8f6bad5 218 fPtNCrossedRowsNClusFPhi(0x0),
d756027f 219 fPtNCrRNCrRNClusF(0x0),
a5e0d236 220 fPtNCrossedRowsFit(0x0),
a337a5a9 221 fPtNCrossedRowsFitPhi(0x0),
b8f6bad5 222 fPtNCrossedRowsNClusFFitPhi(0x0),
a337a5a9 223 fNCrossedRowsNCrossedRowsFit(0x0),
224 fNClustersNCrossedRows(0x0),
225 fNClustersNCrossedRowsFit(0x0),
b8f6bad5 226 fPtRelUncertainty1PtNCrossedRows(0x0),
227 fPtRelUncertainty1PtNCrossedRowsFit(0x0),
dae7dd67 228 fPtChi2Gold(0x0),
229 fPtChi2GGC(0x0),
230 fPtChi2GoldPhi(0x0),
231 fPtChi2GGCPhi(0x0),
232 fChi2GoldChi2GGC(0x0),
2b553e6f 233 fPtSigmaY2(0x0),
234 fPtSigmaZ2(0x0),
235 fPtSigmaSnp2(0x0),
236 fPtSigmaTgl2(0x0),
237 fPtSigma1Pt2(0x0),
aa3ba8d2 238 fProfPtSigmaY2(0x0),
239 fProfPtSigmaZ2(0x0),
240 fProfPtSigmaSnp2(0x0),
241 fProfPtSigmaTgl2(0x0),
242 fProfPtSigma1Pt2(0x0),
243 fProfPtSigma1Pt(0x0),
244 fProfPtPtSigma1Pt(0x0),
d756027f 245 fHistList(0)
246{
247 //
248 // Constructor. Initialization of Inputs and Outputs
249 //
250 AliDebug(2,Form("AliPWG4HighPtTrackQA Calling Constructor"));
251
a5e0d236 252 SetNVariables(25);
d756027f 253
aa3ba8d2 254 fPtBinEdges[0][0] = 10.;
255 fPtBinEdges[0][1] = 1.;
256 fPtBinEdges[1][0] = 20.;
257 fPtBinEdges[1][1] = 2.;
b1041e3b 258 fPtBinEdges[2][0] = 100.;
aa3ba8d2 259 fPtBinEdges[2][1] = 5.;
260
d756027f 261 // Input slot #0 works with a TChain ESD
262 DefineInput(0, TChain::Class());
263 // Output slot #1 write into a TList
264 DefineOutput(1, TList::Class());
265}
266
aa3ba8d2 267//________________________________________________________________________
268void AliPWG4HighPtTrackQA::SetPtBinEdges(Int_t region, Double_t ptmax, Double_t ptBinWidth) {
006b2a30 269 //
270 // Set variable bin sizes for pT axis in histos
271 //
aa3ba8d2 272
273 if(region<3) {
274 fPtBinEdges[region][0] = ptmax;
275 fPtBinEdges[region][1] = ptBinWidth;
276 }
277 else {
278 AliError("Only 3 regions alowed. Use region 0/1/2\n");
279 return;
280 }
281
282}
283
d756027f 284//________________________________________________________________________
285void AliPWG4HighPtTrackQA::UserCreateOutputObjects() {
286 //Create output objects
287 AliDebug(2,Form(">> AliPWG4HighPtTrackQA::UserCreateOutputObjects \n"));
288
289 Bool_t oldStatus = TH1::AddDirectoryStatus();
290 TH1::AddDirectory(kFALSE);
291
292 OpenFile(1);
293 fHistList = new TList();
294 fHistList->SetOwner(kTRUE);
295
296 Float_t fgkPtMin = 0.;
59869f97 297 // Float_t fgkPtMax = fPtMax;
d756027f 298
aa3ba8d2 299 //fPtBinEdges[region][0] = ptmax of region ; fPtBinEdges[region][1] = binWidth of region
d756027f 300 const Float_t ptmin1 = fgkPtMin;
aa3ba8d2 301 const Float_t ptmax1 = fPtBinEdges[0][0];
d756027f 302 const Float_t ptmin2 = ptmax1 ;
aa3ba8d2 303 const Float_t ptmax2 = fPtBinEdges[1][0];
d756027f 304 const Float_t ptmin3 = ptmax2 ;
b1041e3b 305 const Float_t ptmax3 = fPtBinEdges[2][0];//fgkPtMax;
aa3ba8d2 306 const Int_t nbin11 = (int)((ptmax1-ptmin1)/fPtBinEdges[0][1]);
307 const Int_t nbin12 = (int)((ptmax2-ptmin2)/fPtBinEdges[1][1])+nbin11;
2793fe00 308 const Int_t nbin13 = (int)((ptmax3-ptmin3)/fPtBinEdges[2][1])+nbin12;
d756027f 309 Int_t fgkNPtBins=nbin13;
310 //Create array with low edges of each bin
311 Double_t *binsPt=new Double_t[fgkNPtBins+1];
312 for(Int_t i=0; i<=fgkNPtBins; i++) {
313 if(i<=nbin11) binsPt[i]=(Double_t)ptmin1 + (ptmax1-ptmin1)/nbin11*(Double_t)i ;
314 if(i<=nbin12 && i>nbin11) binsPt[i]=(Double_t)ptmin2 + (ptmax2-ptmin2)/(nbin12-nbin11)*((Double_t)i-(Double_t)nbin11) ;
315 if(i<=nbin13 && i>nbin12) binsPt[i]=(Double_t)ptmin3 + (ptmax3-ptmin3)/(nbin13-nbin12)*((Double_t)i-(Double_t)nbin12) ;
316 }
317
318 Int_t fgkNPhiBins = 18*6;
319 Float_t kMinPhi = 0.;
320 Float_t kMaxPhi = 2.*TMath::Pi();
321 Double_t *binsPhi = new Double_t[fgkNPhiBins+1];
322 for(Int_t i=0; i<=fgkNPhiBins; i++) binsPhi[i]=(Double_t)kMinPhi + (kMaxPhi-kMinPhi)/fgkNPhiBins*(Double_t)i ;
323
324 Int_t fgkNEtaBins=20;
325 Float_t fgkEtaMin = -1.;
326 Float_t fgkEtaMax = 1.;
327 Double_t *binsEta=new Double_t[fgkNEtaBins+1];
328 for(Int_t i=0; i<=fgkNEtaBins; i++) binsEta[i]=(Double_t)fgkEtaMin + (fgkEtaMax-fgkEtaMin)/fgkNEtaBins*(Double_t)i ;
329
330 Int_t fgkNNClustersTPCBins=80;
331 Float_t fgkNClustersTPCMin = 0.5;
332 Float_t fgkNClustersTPCMax = 160.5;
333 Double_t *binsNClustersTPC=new Double_t[fgkNNClustersTPCBins+1];
334 for(Int_t i=0; i<=fgkNNClustersTPCBins; i++) binsNClustersTPC[i]=(Double_t)fgkNClustersTPCMin + (fgkNClustersTPCMax-fgkNClustersTPCMin)/fgkNNClustersTPCBins*(Double_t)i ;
335
336 Int_t fgkNDCA2DBins=80;
337 Float_t fgkDCA2DMin = -0.2;
338 Float_t fgkDCA2DMax = 0.2;
dae7dd67 339 if(fTrackType==1 || fTrackType==2 || fTrackType==4 || fTrackType==7) {
2b553e6f 340 fgkDCA2DMin = -2.;
341 fgkDCA2DMax = 2.;
342 }
d756027f 343 Double_t *binsDCA2D=new Double_t[fgkNDCA2DBins+1];
344 for(Int_t i=0; i<=fgkNDCA2DBins; i++) binsDCA2D[i]=(Double_t)fgkDCA2DMin + (fgkDCA2DMax-fgkDCA2DMin)/fgkNDCA2DBins*(Double_t)i ;
345
346 Int_t fgkNDCAZBins=80;
347 Float_t fgkDCAZMin = -2.;
348 Float_t fgkDCAZMax = 2.;
aa3ba8d2 349 if(fTrackType==1 || fTrackType==2 || fTrackType==4) {
2b553e6f 350 fgkDCAZMin = -5.;
351 fgkDCAZMax = 5.;
352 }
d756027f 353 Double_t *binsDCAZ=new Double_t[fgkNDCAZBins+1];
354 for(Int_t i=0; i<=fgkNDCAZBins; i++) binsDCAZ[i]=(Double_t)fgkDCAZMin + (fgkDCAZMax-fgkDCAZMin)/fgkNDCAZBins*(Double_t)i ;
355
356 Int_t fgkNNPointITSBins=9;
357 Float_t fgkNPointITSMin = -0.5;
358 Float_t fgkNPointITSMax = 8.5;
359 Double_t *binsNPointITS=new Double_t[fgkNNPointITSBins+1];
360 for(Int_t i=0; i<=fgkNNPointITSBins; i++) binsNPointITS[i]=(Double_t)fgkNPointITSMin + (fgkNPointITSMax-fgkNPointITSMin)/fgkNNPointITSBins*(Double_t)i ;
361
b8f6bad5 362 Int_t fgkNITSClusterMapBins=65;
363 Float_t fgkITSClusterMapMin = -0.5;
364 Float_t fgkITSClusterMapMax = 64.5;
365 Double_t *binsITSClusterMap=new Double_t[fgkNITSClusterMapBins+1];
366 for(Int_t i=0; i<=fgkNITSClusterMapBins; i++) binsITSClusterMap[i]=(Double_t)fgkITSClusterMapMin + (fgkITSClusterMapMax-fgkITSClusterMapMin)/fgkNITSClusterMapBins*(Double_t)i ;
367
368
dae7dd67 369 Int_t fgkNNSigmaToVertexBins=9;
d756027f 370 Float_t fgkNSigmaToVertexMin = 0.;
dae7dd67 371 Float_t fgkNSigmaToVertexMax = 9.;
d756027f 372 Double_t *binsNSigmaToVertex=new Double_t[fgkNNSigmaToVertexBins+1];
373 for(Int_t i=0; i<=fgkNNSigmaToVertexBins; i++) binsNSigmaToVertex[i]=(Double_t)fgkNSigmaToVertexMin + (fgkNSigmaToVertexMax-fgkNSigmaToVertexMin)/fgkNNSigmaToVertexBins*(Double_t)i ;
374
dae7dd67 375 Int_t fgkNChi2CBins=10;
376 // Float_t fgkChi2CMin = 0.;
377 // Float_t fgkChi2CMax = 100.; //10 sigma
d756027f 378 Double_t *binsChi2C=new Double_t[fgkNChi2CBins+1];
dae7dd67 379 for(Int_t i=0; i<=fgkNChi2CBins; i++) binsChi2C[i] = (Double_t)i * (Double_t)i;
d756027f 380
d756027f 381 Float_t fgkRel1PtUncertaintyMin = 0.;
5ad580fa 382 Float_t fgkRel1PtUncertaintyMax = 1.;
f9665bd4 383 Float_t binEdgeRel1PtUncertainty1= 0.3;
384 Int_t fgkNRel1PtUncertaintyBins1 = 45;
385 Float_t binWidthRel1PtUncertainty1 = (binEdgeRel1PtUncertainty1-fgkRel1PtUncertaintyMin)/((Float_t)fgkNRel1PtUncertaintyBins1);
386 Int_t fgkNRel1PtUncertaintyBins2 = 35;
387 Float_t binWidthRel1PtUncertainty2 = (fgkRel1PtUncertaintyMax-binEdgeRel1PtUncertainty1)/((Float_t)fgkNRel1PtUncertaintyBins2);
388 Int_t fgkNRel1PtUncertaintyBins = fgkNRel1PtUncertaintyBins1 + fgkNRel1PtUncertaintyBins2;
389
d756027f 390 Double_t *binsRel1PtUncertainty=new Double_t[fgkNRel1PtUncertaintyBins+1];
f9665bd4 391 for(Int_t i=0; i<=fgkNRel1PtUncertaintyBins; i++) {
392 if(i<=fgkNRel1PtUncertaintyBins1)
393 binsRel1PtUncertainty[i]=(Double_t)fgkRel1PtUncertaintyMin + (Double_t)binWidthRel1PtUncertainty1*(Double_t)i ;
394 if(i<=fgkNRel1PtUncertaintyBins && i>fgkNRel1PtUncertaintyBins1)
395 binsRel1PtUncertainty[i]=(Double_t)binEdgeRel1PtUncertainty1 + (Double_t)binWidthRel1PtUncertainty2*(Double_t)(i-fgkNRel1PtUncertaintyBins1);
396 }
d756027f 397
2b553e6f 398 Int_t fgkNUncertainty1PtBins = 30;
399 Float_t fgkUncertainty1PtMin = 0.;
400 Float_t fgkUncertainty1PtMax = 0.1;
aa3ba8d2 401 if(fTrackType==1 || fTrackType==2 || fTrackType==4)
402 fgkUncertainty1PtMax = 0.2;
2b553e6f 403 Double_t *binsUncertainty1Pt=new Double_t[fgkNUncertainty1PtBins+1];
404 for(Int_t i=0; i<=fgkNUncertainty1PtBins; i++) binsUncertainty1Pt[i]=(Double_t)fgkUncertainty1PtMin + (fgkUncertainty1PtMax-fgkUncertainty1PtMin)/fgkNUncertainty1PtBins*(Double_t)i ;
405
d756027f 406 Float_t fgkChi2PerClusMin = 0.;
407 Float_t fgkChi2PerClusMax = 4.;
408 Int_t fgkNChi2PerClusBins = (int)(fgkChi2PerClusMax*10.);
409 Double_t *binsChi2PerClus=new Double_t[fgkNChi2PerClusBins+1];
410 for(Int_t i=0; i<=fgkNChi2PerClusBins; i++) binsChi2PerClus[i]=(Double_t)fgkChi2PerClusMin + (fgkChi2PerClusMax-fgkChi2PerClusMin)/fgkNChi2PerClusBins*(Double_t)i ;
411
b8f6bad5 412 Int_t fgkNCrossedRowsNClusFBins = 45;
d756027f 413 Float_t fgkNCrossedRowsNClusFMin = 0.;
b8f6bad5 414 Float_t fgkNCrossedRowsNClusFMax = 1.5;
d756027f 415 Double_t *binsNCrossedRowsNClusF=new Double_t[fgkNCrossedRowsNClusFBins+1];
416 for(Int_t i=0; i<=fgkNCrossedRowsNClusFBins; i++) binsNCrossedRowsNClusF[i]=(Double_t)fgkNCrossedRowsNClusFMin + (fgkNCrossedRowsNClusFMax-fgkNCrossedRowsNClusFMin)/fgkNCrossedRowsNClusFBins*(Double_t)i ;
417
2b553e6f 418 Float_t fgk1PtMin = 0.;
419 Float_t fgk1PtMax = 6.;
aa3ba8d2 420 Float_t binEdge1Pt1 = 1.;
421 Float_t binWidth1Pt1 = 0.05;
422 Int_t fgkN1PtBins1 = (int)((binEdge1Pt1-fgk1PtMin)/binWidth1Pt1);
423 Float_t binWidth1Pt2 = 0.1;
424 Int_t fgkN1PtBins2 = (int)((fgk1PtMax-binEdge1Pt1)/binWidth1Pt2);
425 Int_t fgkN1PtBins = fgkN1PtBins1+fgkN1PtBins2;
2b553e6f 426 Double_t *bins1Pt=new Double_t[fgkN1PtBins+1];
aa3ba8d2 427
428 for(Int_t i=0; i<=fgkN1PtBins; i++) {
429 if(i<=fgkN1PtBins1)
430 bins1Pt[i]=(Double_t)fgk1PtMin + (Double_t)(binEdge1Pt1-fgk1PtMin)/(Double_t)fgkN1PtBins1*(Double_t)i;
431 if(i<=fgkN1PtBins && i>fgkN1PtBins1)
432 bins1Pt[i]=(Double_t)binEdge1Pt1 + (Double_t)(fgk1PtMax-binEdge1Pt1)/(Double_t)fgkN1PtBins2*(Double_t)(i-fgkN1PtBins1);
433 }
2b553e6f 434
435 Int_t fgkNSigmaY2Bins = 50;
436 Float_t fgkSigmaY2Min = 0.;
aa3ba8d2 437 Float_t fgkSigmaY2Max = 1.;
438 if(fTrackType==1) fgkSigmaY2Max = 4.;
439 if(fTrackType==2 || fTrackType==4) fgkSigmaY2Max = 0.1;
2b553e6f 440 Double_t *binsSigmaY2=new Double_t[fgkNSigmaY2Bins+1];
441 for(Int_t i=0; i<=fgkNSigmaY2Bins; i++) binsSigmaY2[i]=(Double_t)fgkSigmaY2Min + (fgkSigmaY2Max-fgkSigmaY2Min)/fgkNSigmaY2Bins*(Double_t)i ;
442
443 Int_t fgkNSigmaZ2Bins = 50;
444 Float_t fgkSigmaZ2Min = 0.;
aa3ba8d2 445 Float_t fgkSigmaZ2Max = 0.4;
2b553e6f 446 Double_t *binsSigmaZ2=new Double_t[fgkNSigmaZ2Bins+1];
447 for(Int_t i=0; i<=fgkNSigmaZ2Bins; i++) binsSigmaZ2[i]=(Double_t)fgkSigmaZ2Min + (fgkSigmaZ2Max-fgkSigmaZ2Min)/fgkNSigmaZ2Bins*(Double_t)i ;
448
449 Int_t fgkNSigmaSnp2Bins = 50;
450 Float_t fgkSigmaSnp2Min = 0.;
aa3ba8d2 451 Float_t fgkSigmaSnp2Max = 0.05;
452 if(fTrackType==1) fgkSigmaSnp2Max = 0.2;
453 if(fTrackType==2 || fTrackType==4) fgkSigmaSnp2Max = 0.1;
2b553e6f 454 Double_t *binsSigmaSnp2=new Double_t[fgkNSigmaSnp2Bins+1];
455 for(Int_t i=0; i<=fgkNSigmaSnp2Bins; i++) binsSigmaSnp2[i]=(Double_t)fgkSigmaSnp2Min + (fgkSigmaSnp2Max-fgkSigmaSnp2Min)/fgkNSigmaSnp2Bins*(Double_t)i ;
456
457 Int_t fgkNSigmaTgl2Bins = 50;
458 Float_t fgkSigmaTgl2Min = 0.;
aa3ba8d2 459 Float_t fgkSigmaTgl2Max = 0.1;
460 if(fTrackType==1) fgkSigmaTgl2Max = 0.2;
461 if(fTrackType==2 || fTrackType==4) fgkSigmaTgl2Max = 0.1;
2b553e6f 462 Double_t *binsSigmaTgl2=new Double_t[fgkNSigmaTgl2Bins+1];
463 for(Int_t i=0; i<=fgkNSigmaTgl2Bins; i++) binsSigmaTgl2[i]=(Double_t)fgkSigmaTgl2Min + (fgkSigmaTgl2Max-fgkSigmaTgl2Min)/fgkNSigmaTgl2Bins*(Double_t)i ;
464
465 Int_t fgkNSigma1Pt2Bins = 50;
466 Float_t fgkSigma1Pt2Min = 0.;
aa3ba8d2 467 Float_t fgkSigma1Pt2Max = 1.;
2b553e6f 468 Double_t *binsSigma1Pt2=new Double_t[fgkNSigma1Pt2Bins+1];
469 for(Int_t i=0; i<=fgkNSigma1Pt2Bins; i++) binsSigma1Pt2[i]=(Double_t)fgkSigma1Pt2Min + (fgkSigma1Pt2Max-fgkSigma1Pt2Min)/fgkNSigma1Pt2Bins*(Double_t)i ;
470
471
d756027f 472 fNEventAll = new TH1F("fNEventAll","NEventAll",1,-0.5,0.5);
473 fHistList->Add(fNEventAll);
474 fNEventSel = new TH1F("fNEventSel","NEvent Selected for analysis",1,-0.5,0.5);
475 fHistList->Add(fNEventSel);
476 fNEventReject = new TH1F("fNEventReject","Reason events are rejectected for analysis",20,0,20);
477 //Set labels
478 fNEventReject->Fill("noESD",0);
479 fNEventReject->Fill("Trigger",0);
480 fNEventReject->Fill("NTracks<2",0);
481 fNEventReject->Fill("noVTX",0);
482 fNEventReject->Fill("VtxStatus",0);
483 fNEventReject->Fill("NCont<2",0);
484 fNEventReject->Fill("ZVTX>10",0);
485 fNEventReject->Fill("cent",0);
486 fNEventReject->Fill("cent>90",0);
487 fHistList->Add(fNEventReject);
488
489 fh1Centrality = new TH1F("fh1Centrality","fh1Centrality; Centrality %",100,0,100);
490 fHistList->Add(fh1Centrality);
491
492 fh1Xsec = new TProfile("fh1Xsec","xsec from pyxsec.root",1,0,1);
493 fh1Xsec->GetXaxis()->SetBinLabel(1,"<#sigma>");
494 fHistList->Add(fh1Xsec);
495
496 fh1Trials = new TH1F("fh1Trials","trials root file",1,0,1);
497 fh1Trials->GetXaxis()->SetBinLabel(1,"#sum{ntrials}");
498 fHistList->Add(fh1Trials);
499
500 fh1PtHard = new TH1F("fh1PtHard","PYTHIA Pt hard;p_{T,hard}",350,-.5,349.5);
501 fHistList->Add(fh1PtHard);
502 fh1PtHardTrials = new TH1F("fh1PtHardTrials","PYTHIA Pt hard weight with trials;p_{T,hard}",350,-.5,349.5);
503 fHistList->Add(fh1PtHardTrials);
504
505 fh1NTracksAll = new TH1F("fh1NTracksAll","fh1NTracksAll",1,-0.5,0.5);
506 fHistList->Add(fh1NTracksAll);
507
508 fh1NTracksReject = new TH1F("fh1NTracksReject","fh1NTracksReject",1,-0.5,0.5);
509 fh1NTracksReject->Fill("noESDtrack",0);
510 fh1NTracksReject->Fill("noTPCInner",0);
511 fh1NTracksReject->Fill("FillTPC",0);
512 fh1NTracksReject->Fill("noTPConly",0);
513 fh1NTracksReject->Fill("relate",0);
514 fh1NTracksReject->Fill("trackCuts",0);
515 fh1NTracksReject->Fill("laser",0);
2b553e6f 516 fh1NTracksReject->Fill("chi2",0);
d756027f 517 fHistList->Add(fh1NTracksReject);
518
519 fh1NTracksSel = new TH1F("fh1NTracksSel","fh1NTracksSel",1,-0.5,0.5);
520 fHistList->Add(fh1NTracksSel);
521
d756027f 522 fPtAll = new TH1F("fPtAll","PtAll",fgkNPtBins, binsPt);
523 fHistList->Add(fPtAll);
524 fPtSel = new TH1F("fPtSel","PtSel",fgkNPtBins, binsPt);
525 fHistList->Add(fPtSel);
526
527 fPtPhi = new TH2F("fPtPhi","fPtPhi",fgkNPtBins,binsPt,fgkNPhiBins,binsPhi);
528 fHistList->Add(fPtPhi);
529
530 fPtEta = new TH2F("fPtEta","fPtEta",fgkNPtBins,binsPt,fgkNEtaBins,binsEta);
531 fHistList->Add(fPtEta);
532
533 fPtDCA2D = new TH2F("fPtDCA2D","fPtDCA2D",fgkNPtBins,binsPt,fgkNDCA2DBins,binsDCA2D);
534 fHistList->Add(fPtDCA2D);
535
536 fPtDCAZ = new TH2F("fPtDCAZ","fPtDCAZ",fgkNPtBins,binsPt,fgkNDCAZBins,binsDCAZ);
537 fHistList->Add(fPtDCAZ);
538
539 fPtNClustersTPC = new TH2F("fPtNClustersTPC","fPtNClustersTPC",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC);
540 fHistList->Add(fPtNClustersTPC);
0f76d8ae 541
542 fPtNClustersTPCIter1 = new TH2F("fPtNClustersTPCIter1","fPtNClustersTPCIter1",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC);
543 fHistList->Add(fPtNClustersTPCIter1);
d889ce29 544
a5e0d236 545 fPtNClustersTPCIter1Phi = new TH3F("fPtNClustersTPCIter1Phi","fPtNClustersTPCIter1Phi",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNPhiBins,binsPhi);
546 fHistList->Add(fPtNClustersTPCIter1Phi);
547
d889ce29 548 fPtNClustersTPCShared = new TH2F("fPtNClustersTPCShared","fPtNClustersTPCShared",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC);
549 fHistList->Add(fPtNClustersTPCShared);
550
551 fPtNClustersTPCSharedFrac = new TH2F("fPtNClustersTPCSharedFrac","fPtNClustersTPCSharedFrac",fgkNPtBins,binsPt,fgkNSigma1Pt2Bins,binsSigma1Pt2);
552 fHistList->Add(fPtNClustersTPCSharedFrac);
d756027f 553
554 fPtNPointITS = new TH2F("fPtNPointITS","fPtNPointITS",fgkNPtBins,binsPt,fgkNNPointITSBins,binsNPointITS);
555 fHistList->Add(fPtNPointITS);
556
557 fPtChi2C = new TH2F("fPtChi2C","fPtChi2C",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C);
558 fHistList->Add(fPtChi2C);
559
560 fPtNSigmaToVertex = new TH2F("fPtNSigmaToVertex","fPtNSigmaToVertex",fgkNPtBins,binsPt,fgkNNSigmaToVertexBins,binsNSigmaToVertex);
561 fHistList->Add(fPtNSigmaToVertex);
562
563 fPtRelUncertainty1Pt = new TH2F("fPtRelUncertainty1Pt","fPtRelUncertainty1Pt",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty);
564 fHistList->Add(fPtRelUncertainty1Pt);
2b553e6f 565
05cb235d 566 fPtRelUncertainty1PtNClus = new TH3F("fPtRelUncertainty1PtNClus","fPtRelUncertainty1PtNClus",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNClustersTPCBins,binsNClustersTPC);
567 fHistList->Add(fPtRelUncertainty1PtNClus);
568
0f76d8ae 569 fPtRelUncertainty1PtNClusIter1 = new TH3F("fPtRelUncertainty1PtNClusIter1","fPtRelUncertainty1PtNClusIter1",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNClustersTPCBins,binsNClustersTPC);
570 fHistList->Add(fPtRelUncertainty1PtNClusIter1);
571
b8f6bad5 572 fPtRelUncertainty1PtNPointITS = new TH3F("fPtRelUncertainty1PtNPointITS","fPtRelUncertainty1PtNPointITS",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNPointITSBins,binsNPointITS);
573 fHistList->Add(fPtRelUncertainty1PtNPointITS);
574
575 fPtRelUncertainty1PtITSClusterMap = new TH3F("fPtRelUncertainty1PtITSClusterMap","fPtRelUncertainty1PtITSClusterMap",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNITSClusterMapBins,binsITSClusterMap);
576 fHistList->Add(fPtRelUncertainty1PtITSClusterMap);
577
05cb235d 578 fPtRelUncertainty1PtChi2 = new TH3F("fPtRelUncertainty1PtChi2","fPtRelUncertainty1PtChi2",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNChi2PerClusBins,binsChi2PerClus);
579 fHistList->Add(fPtRelUncertainty1PtChi2);
580
0f76d8ae 581 fPtRelUncertainty1PtChi2Iter1 = new TH3F("fPtRelUncertainty1PtChi2Iter1","fPtRelUncertainty1PtChi2Iter1",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNChi2PerClusBins,binsChi2PerClus);
582 fHistList->Add(fPtRelUncertainty1PtChi2Iter1);
583
584 fPtRelUncertainty1PtPhi = new TH3F("fPtRelUncertainty1PtPhi","fPtRelUncertainty1PtPhi",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNPhiBins,binsPhi);
585 fHistList->Add(fPtRelUncertainty1PtPhi);
586
2b553e6f 587 fPtUncertainty1Pt = new TH2F("fPtUncertainty1Pt","fPtUncertainty1Pt",fgkNPtBins,binsPt,fgkNUncertainty1PtBins,binsUncertainty1Pt);
588 fHistList->Add(fPtUncertainty1Pt);
d756027f 589
590 fPtChi2PerClusterTPC = new TH2F("fPtChi2PerClusterTPC","fPtChi2PerClusterTPC",fgkNPtBins,binsPt,fgkNChi2PerClusBins,binsChi2PerClus);
591 fHistList->Add(fPtChi2PerClusterTPC);
0f76d8ae 592
593 fPtChi2PerClusterTPCIter1 = new TH2F("fPtChi2PerClusterTPCIter1","fPtChi2PerClusterTPCIter1",fgkNPtBins,binsPt,fgkNChi2PerClusBins,binsChi2PerClus);
594 fHistList->Add(fPtChi2PerClusterTPCIter1);
d756027f 595
596 fPtNCrossedRows = new TH2F("fPtNCrossedRows","fPtNCrossedRows",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC);
597 fHistList->Add(fPtNCrossedRows);
598
a337a5a9 599 fPtNCrossedRowsPhi = new TH3F("fPtNCrossedRowsPhi","fPtNCrossedRowsPhi",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNPhiBins,binsPhi);
600 fHistList->Add(fPtNCrossedRowsPhi);
601
b8f6bad5 602 fPtNCrossedRowsNClusFPhi = new TH3F("fPtNCrossedRowsNClusFPhi","fPtNCrossedRowsNClusFPhi",fgkNPtBins,binsPt,fgkNCrossedRowsNClusFBins,binsNCrossedRowsNClusF,fgkNPhiBins,binsPhi);
603 fHistList->Add(fPtNCrossedRowsNClusFPhi);
d756027f 604
605 fPtNCrRNCrRNClusF = new TH3F("fPtNCrRNCrRNClusF","fPtNCrRNCrRNClusF",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNCrossedRowsNClusFBins,binsNCrossedRowsNClusF);
606 fHistList->Add(fPtNCrRNCrRNClusF);
2b553e6f 607
a5e0d236 608 fPtNCrossedRowsFit = new TH2F("fPtNCrossedRowsFit","fPtNCrossedRowsFit",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC);
609 fHistList->Add(fPtNCrossedRowsFit);
610
a337a5a9 611 fPtNCrossedRowsFitPhi = new TH3F("fPtNCrossedRowsFitPhi","fPtNCrossedRowsFitPhi",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNPhiBins,binsPhi);
612 fHistList->Add(fPtNCrossedRowsFitPhi);
613
b8f6bad5 614 fPtNCrossedRowsNClusFFitPhi = new TH3F("fPtNCrossedRowsNClusFFitPhi","fPtNCrossedRowsNClusFFitPhi",fgkNPtBins,binsPt,fgkNCrossedRowsNClusFBins,binsNCrossedRowsNClusF,fgkNPhiBins,binsPhi);
615 fHistList->Add(fPtNCrossedRowsNClusFFitPhi);
a5e0d236 616
a337a5a9 617 fNCrossedRowsNCrossedRowsFit = new TH2F("fNCrossedRowsNCrossedRowsFit","fNCrossedRowsNCrossedRowsFit",fgkNNClustersTPCBins,binsNClustersTPC,fgkNNClustersTPCBins,binsNClustersTPC);
618 fHistList->Add(fNCrossedRowsNCrossedRowsFit);
619
620 fNClustersNCrossedRows = new TH2F("fNClustersNCrossedRows","fNClustersNCrossedRows",fgkNNClustersTPCBins,binsNClustersTPC,fgkNNClustersTPCBins,binsNClustersTPC);
621 fHistList->Add(fNClustersNCrossedRows);
622
623 fNClustersNCrossedRowsFit = new TH2F("fNClustersNCrossedRowsFit","fNClustersNCrossedRowsFit",fgkNNClustersTPCBins,binsNClustersTPC,fgkNNClustersTPCBins,binsNClustersTPC);
624 fHistList->Add(fNClustersNCrossedRowsFit);
625
b8f6bad5 626 fPtRelUncertainty1PtNCrossedRows = new TH3F("fPtRelUncertainty1PtNCrossedRows","fPtRelUncertainty1PtNCrossedRows",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNClustersTPCBins,binsNClustersTPC);
627 fHistList->Add(fPtRelUncertainty1PtNCrossedRows);
628
629 fPtRelUncertainty1PtNCrossedRowsFit = new TH3F("fPtRelUncertainty1PtNCrossedRowsFit","fPtRelUncertainty1PtNCrossedRowsFit",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNClustersTPCBins,binsNClustersTPC);
630 fHistList->Add(fPtRelUncertainty1PtNCrossedRowsFit);
631
dae7dd67 632 fPtChi2Gold = new TH2F("fPtChi2Gold","fPtChi2Gold",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C);
633 fHistList->Add(fPtChi2Gold);
634
635 fPtChi2GGC = new TH2F("fPtChi2GGC","fPtChi2GGC",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C);
636 fHistList->Add(fPtChi2GGC);
637
638 fPtChi2GoldPhi = new TH3F("fPtChi2GoldPhi","fPtChi2GoldPhi",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C,fgkNPhiBins,binsPhi);
639 fHistList->Add(fPtChi2GoldPhi);
640
641 fPtChi2GGCPhi = new TH3F("fPtChi2GGCPhi","fPtChi2GGCPhi",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C,fgkNPhiBins,binsPhi);
642 fHistList->Add(fPtChi2GGCPhi);
643
644 fChi2GoldChi2GGC = new TH2F("fChi2GoldChi2GGC","fChi2GoldChi2GGC;#chi^{2}_{gold};#chi^{2}_{ggc}",fgkNChi2CBins,binsChi2C,fgkNChi2CBins,binsChi2C);
645 fHistList->Add(fChi2GoldChi2GGC);
646
647
aa3ba8d2 648 fPtSigmaY2 = new TH2F("fPtSigmaY2","fPtSigmaY2",fgkN1PtBins,bins1Pt,fgkNSigmaY2Bins,binsSigmaY2);
2b553e6f 649 fHistList->Add(fPtSigmaY2);
650
651 fPtSigmaZ2 = new TH2F("fPtSigmaZ2","fPtSigmaZ2",fgkN1PtBins,bins1Pt,fgkNSigmaZ2Bins,binsSigmaZ2);
652 fHistList->Add(fPtSigmaZ2);
653
aa3ba8d2 654 fPtSigmaSnp2 = new TH2F("fPtSigmaSnp2","fPtSigmaSnp2",fgkN1PtBins,bins1Pt,fgkNSigmaSnp2Bins,binsSigmaSnp2);
2b553e6f 655 fHistList->Add(fPtSigmaSnp2);
656
aa3ba8d2 657 fPtSigmaTgl2 = new TH2F("fPtSigmaTgl2","fPtSigmaTgl2",fgkN1PtBins,bins1Pt,fgkNSigmaTgl2Bins,binsSigmaTgl2);
2b553e6f 658 fHistList->Add(fPtSigmaTgl2);
659
aa3ba8d2 660 fPtSigma1Pt2 = new TH2F("fPtSigma1Pt2","fPtSigma1Pt2",fgkN1PtBins,bins1Pt,fgkNSigma1Pt2Bins,binsSigma1Pt2);
2b553e6f 661 fHistList->Add(fPtSigma1Pt2);
662
aa3ba8d2 663 fProfPtSigmaY2 = new TProfile("fProfPtSigmaY2","fProfPtSigmaY2",fgkN1PtBins,bins1Pt);
664 fHistList->Add(fProfPtSigmaY2);
665
666 fProfPtSigmaZ2 = new TProfile("fProfPtSigmaZ2","fProfPtSigmaZ2",fgkN1PtBins,bins1Pt);
667 fHistList->Add(fProfPtSigmaZ2);
668
669 fProfPtSigmaSnp2 = new TProfile("fProfPtSigmaSnp2","fProfPtSigmaSnp2",fgkN1PtBins,bins1Pt);
670 fHistList->Add(fProfPtSigmaSnp2);
671
672 fProfPtSigmaTgl2 = new TProfile("fProfPtSigmaTgl2","fProfPtSigmaTgl2",fgkN1PtBins,bins1Pt);
673 fHistList->Add(fProfPtSigmaTgl2);
674
675 fProfPtSigma1Pt2 = new TProfile("fProfPtSigma1Pt2","fProfPtSigma1Pt2",fgkN1PtBins,bins1Pt);
676 fHistList->Add(fProfPtSigma1Pt2);
677
678 fProfPtSigma1Pt = new TProfile("fProfPtSigma1Pt","fProfPtSigma1Pt;p_{T};#sigma(1/p_{T})",fgkNPtBins,binsPt);
679 fHistList->Add(fProfPtSigma1Pt);
680
681 fProfPtPtSigma1Pt = new TProfile("fProfPtPtSigma1Pt","fProfPtPtSigma1Pt;p_{T};p_{T}#sigma(1/p_{T})",fgkNPtBins,binsPt);
682 fHistList->Add(fProfPtPtSigma1Pt);
683
d756027f 684 TH1::AddDirectory(oldStatus);
685
686 PostData(1, fHistList);
687
688 if(binsPhi) delete [] binsPhi;
689 if(binsPt) delete [] binsPt;
690 if(binsNClustersTPC) delete [] binsNClustersTPC;
691 if(binsDCA2D) delete [] binsDCA2D;
692 if(binsDCAZ) delete [] binsDCAZ;
693 if(binsNPointITS) delete [] binsNPointITS;
694 if(binsNSigmaToVertex) delete [] binsNSigmaToVertex;
695 if(binsChi2C) delete [] binsChi2C;
696 if(binsEta) delete [] binsEta;
697 if(binsRel1PtUncertainty) delete [] binsRel1PtUncertainty;
2b553e6f 698 if(binsUncertainty1Pt) delete [] binsUncertainty1Pt;
d756027f 699 if(binsChi2PerClus) delete [] binsChi2PerClus;
700 if(binsChi2PerClus) delete [] binsNCrossedRowsNClusF;
2b553e6f 701 if(bins1Pt) delete [] bins1Pt;
702 if(binsSigmaY2) delete [] binsSigmaY2;
703 if(binsSigmaZ2) delete [] binsSigmaZ2;
704 if(binsSigmaSnp2) delete [] binsSigmaSnp2;
705 if(binsSigmaTgl2) delete [] binsSigmaTgl2;
706 if(binsSigma1Pt2) delete [] binsSigma1Pt2;
d756027f 707}
708
709//________________________________________________________________________
710Bool_t AliPWG4HighPtTrackQA::SelectEvent() {
711 //
712 // Decide if event should be selected for analysis
713 //
714
715 // Checks following requirements:
716 // - fEvent available
717 // - trigger info from AliPhysicsSelection
718 // - MCevent available
719 // - number of reconstructed tracks > 1
720 // - primary vertex reconstructed
721 // - z-vertex < 10 cm
722 // - centrality in case of PbPb
723
724 Bool_t selectEvent = kTRUE;
725
726 //fEvent object available?
727 if (!fEvent) {
728 AliDebug(2,Form("ERROR: fInputEvent not available\n"));
729 fNEventReject->Fill("noAliVEvent",1);
730 selectEvent = kFALSE;
731 return selectEvent;
732 }
733
734 //Check if number of reconstructed tracks is larger than 1
735 if(!fEvent->GetNumberOfTracks() || fEvent->GetNumberOfTracks()<2) {
736 fNEventReject->Fill("NTracks<2",1);
737 selectEvent = kFALSE;
738 return selectEvent;
739 }
740
741 //Check if vertex is reconstructed
1ea145ef 742 if(fDataType==kESD&&dynamic_cast<AliESDEvent*>(fEvent)) {
a5e0d236 743 fVtx = ((AliESDEvent*)fEvent)->GetPrimaryVertexTracks();
744
745 if (!fVtx || !fVtx->GetStatus())
746 fVtx = ((AliESDEvent*)fEvent)->GetPrimaryVertexSPD();
d756027f 747
748 if(!fVtx) {
749 fNEventReject->Fill("noVTX",1);
750 selectEvent = kFALSE;
751 return selectEvent;
752 }
753
754 if(!fVtx->GetStatus()) {
755 fNEventReject->Fill("VtxStatus",1);
756 selectEvent = kFALSE;
757 return selectEvent;
758 }
759
760 // Need vertex cut
761 if(fVtx->GetNContributors()<2) {
762 fNEventReject->Fill("NCont<2",1);
763 selectEvent = kFALSE;
764 return selectEvent;
765 }
766
767 //Check if z-vertex < 10 cm
768 double primVtx[3];
769 fVtx->GetXYZ(primVtx);
770 if(TMath::Sqrt(primVtx[0]*primVtx[0] + primVtx[1]*primVtx[1])>1. || TMath::Abs(primVtx[2]>10.)){
771 fNEventReject->Fill("ZVTX>10",1);
772 selectEvent = kFALSE;
773 return selectEvent;
774 }
775 }
1ea145ef 776 else if(fDataType==kAOD&&dynamic_cast<AliAODEvent*>(fEvent)) {
777 const AliAODVertex *vtx = ((AliAODEvent*)fEvent)->GetPrimaryVertexSPD();
d756027f 778 if(!vtx) {
779 fNEventReject->Fill("noVTX",1);
780 selectEvent = kFALSE;
781 return selectEvent;
782 }
783
784 // Need vertex cut
785 if(vtx->GetNContributors()<2) {
786 fNEventReject->Fill("NCont<2",1);
787 selectEvent = kFALSE;
788 return selectEvent;
789 }
790
791 //Check if z-vertex < 10 cm
792 double primVtx[3];
793 vtx->GetXYZ(primVtx);
794 if(TMath::Sqrt(primVtx[0]*primVtx[0] + primVtx[1]*primVtx[1])>1. || TMath::Abs(primVtx[2]>10.)){
795 fNEventReject->Fill("ZVTX>10",1);
796 selectEvent = kFALSE;
797 return selectEvent;
798 }
799
800 }
801
802 //Centrality selection should only be done in case of PbPb
803 if(IsPbPb()) {
804 Float_t cent = 0.;
805 if(fCentClass!=CalculateCentrality(fEvent) && fCentClass!=10) {
806 fNEventReject->Fill("cent",1);
807 selectEvent = kFALSE;
808 return selectEvent;
809 }
810 else {
811 if(fDataType==kESD) {
812 if(dynamic_cast<AliESDEvent*>(fEvent)->GetCentrality()) {
813 cent = dynamic_cast<AliESDEvent*>(fEvent)->GetCentrality()->GetCentralityPercentile("V0M");
814 }
815 }
816 else if(fDataType==kAOD) {
817 if(dynamic_cast<AliAODEvent*>(fEvent)->GetHeader()->GetCentrality())
818 cent = dynamic_cast<AliAODEvent*>(fEvent)->GetHeader()->GetCentrality();
819 }
820 if(cent>90.) {
821 fNEventReject->Fill("cent>90",1);
822 selectEvent = kFALSE;
823 return selectEvent;
824 }
825 fh1Centrality->Fill(cent);
826 }
827 }
828
829 return selectEvent;
830
831}
832
833//________________________________________________________________________
834Int_t AliPWG4HighPtTrackQA::CalculateCentrality(AliVEvent *ev){
669e2312 835 //
836 // Get centrality from ESD or AOD
837 //
838
d756027f 839 if(fDataType==kESD)
840 return CalculateCentrality(dynamic_cast<AliESDEvent*>(ev));
841 else if(fDataType==kAOD)
842 return CalculateCentrality(dynamic_cast<AliAODEvent*>(ev));
843 else
844 return 5;
845}
846
847//________________________________________________________________________
848Int_t AliPWG4HighPtTrackQA::CalculateCentrality(AliESDEvent *esd){
669e2312 849 //
850 // Get centrality from ESD
851 //
d756027f 852
669e2312 853 Float_t cent = -1;
1ea145ef 854
855 if(esd){
856 if(esd->GetCentrality()){
857 cent = esd->GetCentrality()->GetCentralityPercentile("V0M");
669e2312 858 if(fDebug>3) printf("centrality: %f\n",cent);
1ea145ef 859 }
d756027f 860 }
861
669e2312 862 return GetCentralityClass(cent);
d756027f 863
864}
865
866//________________________________________________________________________
006b2a30 867Int_t AliPWG4HighPtTrackQA::CalculateCentrality(const AliAODEvent *aod){
669e2312 868 //
869 // Get centrality from AOD
870 //
d756027f 871
669e2312 872 if(!aod) return 5;
d756027f 873 Float_t cent = aod->GetHeader()->GetCentrality();
669e2312 874 if(fDebug>3) printf("centrality: %f\n",cent);
875
876 return GetCentralityClass(cent);
877
878}
879
880//________________________________________________________________________
006b2a30 881Int_t AliPWG4HighPtTrackQA::GetCentralityClass(Float_t cent) const {
669e2312 882 //
883 // Get centrality class
884 //
885
886 if(cent<0) return 5; // OB - cent sometimes negative
887 if(cent>80) return 4;
888 if(cent>50) return 3;
889 if(cent>30) return 2;
890 if(cent>10) return 1;
d756027f 891 return 0;
892
893}
894
895//________________________________________________________________________
896void AliPWG4HighPtTrackQA::UserExec(Option_t *) {
897 // Main loop
898 // Called for each event
899 AliDebug(2,Form(">> AliPWG4HighPtTrackQA::UserExec \n"));
900
901 fEvent = InputEvent();
902 fESD = dynamic_cast<AliESDEvent*>(InputEvent());
903
904 // All events without selection
905 fNEventAll->Fill(0.);
906
907 if(!SelectEvent()) {
908 // Post output data
909 PostData(1, fHistList);
910 return;
911 }
912
913
914 //Need to keep track of selected events
915 fNEventSel->Fill(0.);
916
917 fVariables = new TArrayF(fNVariables);
918
919 if(fDataType==kESD) DoAnalysisESD();
920 if(fDataType==kAOD) DoAnalysisAOD();
921
922 //Delete old fVariables
923 if(fVariables) delete fVariables;
924
925 // Post output data
926 PostData(1, fHistList);
927
928}
929
930//________________________________________________________________________
931void AliPWG4HighPtTrackQA::DoAnalysisESD() {
05cb235d 932 //
933 // Run analysis on ESD
934 //
d756027f 935
936 if(!fESD) {
937 PostData(1, fHistList);
938 return;
939 }
940
941 // ---- Get MC Header information (for MC productions in pThard bins) ----
942 Double_t ptHard = 0.;
943 Double_t nTrials = 1; // trials for MC trigger weight for real data
944
945 AliMCEventHandler *eventHandlerMC = dynamic_cast<AliMCEventHandler*> (AliAnalysisManager::GetAnalysisManager()->GetMCtruthEventHandler());
946 if (eventHandlerMC) {
947
948 if(eventHandlerMC->MCEvent()){
949 AliGenPythiaEventHeader* pythiaGenHeader = GetPythiaEventHeader(eventHandlerMC->MCEvent());
950 if(pythiaGenHeader){
951 nTrials = pythiaGenHeader->Trials();
952 ptHard = pythiaGenHeader->GetPtHard();
953
954 fh1PtHard->Fill(ptHard);
955 fh1PtHardTrials->Fill(ptHard,nTrials);
956
957 fh1Trials->Fill("#sum{ntrials}",fAvgTrials);
958 }
959 }
960 }
961
962 Int_t nTracks = fESD->GetNumberOfTracks();
963 AliDebug(2,Form("nTracks ESD%d", nTracks));
964
965 /*
966 Variables to be put in fVariables
967 0: pt
968 1: phi
969 2: eta
970 3: dca2D
971 4: dcaZ
972 5: nClustersTPC
973 6: nPointITS
974 7: chi2C
975 8: nSigmaToVertex
05cb235d 976 9: trackLengthTPC
d756027f 977 10: chi2PerClusterTPC
978 11: #crossed rows
979 12: (#crossed rows)/(#findable clusters)
2b553e6f 980 13: SigmaY2
981 14: SigmaZ2
982 15: SigmaSnp2
983 16: SigmaTgl2
984 17: Sigma1Pt2
0f76d8ae 985 18: NClustersTPCIter1
986 19: Chi2TPCIter1
d889ce29 987 20: nClustersTPCShared
dae7dd67 988 21: Golden Chi2 - global vs TPC constrained
989 22: Chi2 between global and global constrained
d756027f 990 */
991
992 for (Int_t iTrack = 0; iTrack < nTracks; iTrack++) {
993 fh1NTracksAll->Fill(0.);
994
995 //Get track for analysis
2b553e6f 996 AliESDtrack *track = 0x0;
d756027f 997 AliESDtrack *esdtrack = fESD->GetTrack(iTrack);
998 if(!esdtrack) {
999 fh1NTracksReject->Fill("noESDtrack",1);
1000 continue;
1001 }
509dc845 1002 AliESDtrack *origtrack = new AliESDtrack(*esdtrack);
2926ddbb 1003 if(!origtrack)
1004 continue;
d756027f 1005
aa3ba8d2 1006 if(fTrackType==4) {
aa3ba8d2 1007 if (!(fTrackCuts->AcceptTrack(esdtrack))) {
1008 fh1NTracksReject->Fill("trackCuts",1);
42881dab 1009 if(origtrack) delete origtrack;
aa3ba8d2 1010 continue;
1011 }
1012 }
1013
d756027f 1014 if(fTrackType==1)
1015 track = AliESDtrackCuts::GetTPCOnlyTrack(fESD,esdtrack->GetID());
aa3ba8d2 1016 else if(fTrackType==2 || fTrackType==4) {
d756027f 1017 track = AliESDtrackCuts::GetTPCOnlyTrack(fESD,esdtrack->GetID());
1018 if(!track) {
1019 fh1NTracksReject->Fill("noTPConly",1);
42881dab 1020 if(origtrack) delete origtrack;
d756027f 1021 continue;
1022 }
1023 AliExternalTrackParam exParam;
1024 Bool_t relate = track->RelateToVertexTPC(fVtx,fESD->GetMagneticField(),kVeryBig,&exParam);
1025 if( !relate ) {
1026 fh1NTracksReject->Fill("relate",1);
fb4a2fc7 1027 if(track) delete track;
42881dab 1028 if(origtrack) delete origtrack;
d756027f 1029 continue;
1030 }
1031 track->Set(exParam.GetX(),exParam.GetAlpha(),exParam.GetParameter(),exParam.GetCovariance());
1032 }
44684f3b 1033 else if(fTrackType==5 || fTrackType==6) {
1034 if(fTrackCuts->AcceptTrack(esdtrack)) {
42881dab 1035 if(origtrack) delete origtrack;
44684f3b 1036 continue;
1037 }
1038 else {
1039 if( !(fTrackCutsITSLoose->AcceptTrack(esdtrack)) && fTrackCutsTPConly->AcceptTrack(esdtrack) ) {
1040
1041 if(fTrackType==5) {
1042 //use TPConly constrained track
1043 track = AliESDtrackCuts::GetTPCOnlyTrack(fESD,esdtrack->GetID());
2bdab66e 1044 if(!track) {
1045 fh1NTracksReject->Fill("noTPConly",1);
42881dab 1046 if(origtrack) delete origtrack;
2bdab66e 1047 continue;
1048 }
44684f3b 1049 AliExternalTrackParam exParam;
1050 Bool_t relate = track->RelateToVertexTPC(fVtx,fESD->GetMagneticField(),kVeryBig,&exParam);
1051 if( !relate ) {
1052 fh1NTracksReject->Fill("relate",1);
fb4a2fc7 1053 if(track) delete track;
42881dab 1054 if(origtrack) delete origtrack;
44684f3b 1055 continue;
1056 }
1057 track->Set(exParam.GetX(),exParam.GetAlpha(),exParam.GetParameter(),exParam.GetCovariance());
1058 }
1059 else if(fTrackType==6) {
1060 //use global constrained track
42881dab 1061 track = new AliESDtrack(*esdtrack);
44684f3b 1062 track->Set(esdtrack->GetConstrainedParam()->GetX(),esdtrack->GetConstrainedParam()->GetAlpha(),esdtrack->GetConstrainedParam()->GetParameter(),esdtrack->GetConstrainedParam()->GetCovariance());
1063
1064 }
1065 }
1066 }
1067 }
d3a3f33d 1068 else if(fTrackType==7) {
1069 //use global constrained track
dae7dd67 1070 track = new AliESDtrack(*esdtrack);
d3a3f33d 1071 }
d756027f 1072 else
1073 track = esdtrack;
1074
42881dab 1075 if(!track) {
1076 if(origtrack) delete origtrack;
d756027f 1077 continue;
42881dab 1078 }
d756027f 1079
fb4a2fc7 1080 if(fTrackType==2 || fTrackType==4 || fTrackType==5) {
2b553e6f 1081 //Cut on chi2 of constrained fit
aa3ba8d2 1082 if(track->GetConstrainedChi2TPC() > fSigmaConstrainedMax*fSigmaConstrainedMax && fSigmaConstrainedMax>0.) {
2b553e6f 1083 fh1NTracksReject->Fill("chi2",1);
fb4a2fc7 1084 if(track) delete track;
42881dab 1085 if(origtrack) delete origtrack;
2b553e6f 1086 continue;
1087 }
1088 }
1089
d756027f 1090 fPtAll->Fill(track->Pt());
1091
44684f3b 1092 if (!(fTrackCuts->AcceptTrack(track)) && fTrackType!=4 && fTrackType!=5 && fTrackType!=6) {
d756027f 1093 fh1NTracksReject->Fill("trackCuts",1);
42881dab 1094 if(fTrackType==1 || fTrackType==2 || fTrackType==7) {
fb4a2fc7 1095 if(track) delete track;
1096 }
42881dab 1097 if(origtrack) delete origtrack;
d756027f 1098 continue;
1099 }
aa3ba8d2 1100
031aac8e 1101 if(fTrackType==7) {
327d12da 1102 if(fTrackCutsITSLoose ) {
dae7dd67 1103 if(fTrackCutsITSLoose->AcceptTrack(track) ) {
1104 if(track) delete track;
42881dab 1105 if(origtrack) delete origtrack;
327d12da 1106 continue;
dae7dd67 1107 }
327d12da 1108 }
1109
031aac8e 1110 if(esdtrack->GetConstrainedParam())
1111 track->Set(esdtrack->GetConstrainedParam()->GetX(),esdtrack->GetConstrainedParam()->GetAlpha(),esdtrack->GetConstrainedParam()->GetParameter(),esdtrack->GetConstrainedParam()->GetCovariance());
031aac8e 1112 }
1113
dae7dd67 1114 if(!track) {
42881dab 1115 if(fTrackType==1 || fTrackType==2 || fTrackType==4 || fTrackType==5 || fTrackType==6 || fTrackType==7) {
dae7dd67 1116 if(track) delete track;
1117 }
42881dab 1118 if(origtrack) delete origtrack;
dae7dd67 1119 continue;
1120 }
1121
d756027f 1122 fh1NTracksSel->Fill(0.);
1123
1124 fVariables->Reset(0.);
1125
2b553e6f 1126 fVariables->SetAt(track->Pt(),0);
1127 fVariables->SetAt(track->Phi(),1);
1128 fVariables->SetAt(track->Eta(),2);
d756027f 1129
1130 Float_t dca2D = 0.;
1131 Float_t dcaz = 0.;
031aac8e 1132
1133 if(fTrackType==1 || fTrackType==2 || fTrackType==4) {
1134 track->GetImpactParametersTPC(dca2D,dcaz); //TPConly
d756027f 1135 }
031aac8e 1136 else
1137 track->GetImpactParameters(dca2D,dcaz); //Global
1138
d756027f 1139 fVariables->SetAt(dca2D,3);
dae7dd67 1140 fVariables->SetAt(dcaz,4);
d756027f 1141
1142 fVariables->SetAt((float)track->GetTPCNcls(),5);
1143
1144 Int_t nPointITS = 0;
b8f6bad5 1145 fITSClusterMap = track->GetITSClusterMap();
d756027f 1146 UChar_t itsMap = track->GetITSClusterMap();
1147 for (Int_t i=0; i < 6; i++) {
1148 if (itsMap & (1 << i))
1149 nPointITS ++;
1150 }
1151 fVariables->SetAt((float)nPointITS,6);
2b553e6f 1152 Float_t chi2C = (float)track->GetConstrainedChi2();
aa3ba8d2 1153 if(fTrackType==1 || fTrackType==2 || fTrackType==4)
2b553e6f 1154 chi2C = (float)track->GetConstrainedChi2TPC();
1155 fVariables->SetAt(chi2C,7);
d756027f 1156 fVariables->SetAt(fTrackCuts->GetSigmaToVertex(track),8);// Calculates the number of sigma to the vertex for a track.
1157
05cb235d 1158 fVariables->SetAt(GetTrackLengthTPC(track),9);
d756027f 1159
1160 if(fVariables->At(5)>0.) fVariables->SetAt(track->GetTPCchi2()/fVariables->At(5),10);
1161
a337a5a9 1162 //fVariables->SetAt(track->GetTPCClusterInfo(2,1),11); //#crossed rows
a5e0d236 1163 fVariables->SetAt(track->GetTPCCrossedRows(),11); //#crossed rows
a337a5a9 1164
44684f3b 1165 Float_t crossedRowsTPCNClsF = 1.;//track->GetTPCClusterInfo(2,0);
1166 if(track->GetTPCNclsF()>0.) crossedRowsTPCNClsF = fVariables->At(11)/track->GetTPCNclsF();
d756027f 1167 fVariables->SetAt(crossedRowsTPCNClsF,12);//(#crossed rows)/(#findable clusters)
2b553e6f 1168 fVariables->SetAt(track->GetSigmaY2(),13);
1169 fVariables->SetAt(track->GetSigmaZ2(),14);
1170 fVariables->SetAt(track->GetSigmaSnp2(),15);
1171 fVariables->SetAt(track->GetSigmaTgl2(),16);
1172 fVariables->SetAt(track->GetSigma1Pt2(),17);
0f76d8ae 1173
1174 fVariables->SetAt(track->GetTPCNclsIter1(),18);
1175 fVariables->SetAt(track->GetTPCchi2Iter1(),19);
d889ce29 1176
1177 fVariables->SetAt(track->GetTPCnclsS(),20);
dae7dd67 1178
a5e0d236 1179 Float_t chi2Gold = origtrack->GetChi2TPCConstrainedVsGlobal(fVtx);//GetGoldenChi2(origtrack);
42881dab 1180 Float_t chi2GGC = GetGGCChi2(origtrack);
dae7dd67 1181
1182 fVariables->SetAt(chi2Gold,21);
1183 fVariables->SetAt(chi2GGC,22);
a5e0d236 1184
1185 fVariables->SetAt(GetTPCClusterInfoFitMap(track,2,1),23);
1186 Float_t crossedRowsTPCNClsFFit = 1.;
1187 if(track->GetTPCNclsF()>0.) crossedRowsTPCNClsFFit = fVariables->At(23)/track->GetTPCNclsF();
1188 fVariables->SetAt(crossedRowsTPCNClsFFit,24);
d756027f 1189
1190 FillHistograms();
1191
1192 // int mult = fTrackCuts->CountAcceptedTracks(fESD);
1193
42881dab 1194 if(fTrackType==1 || fTrackType==2 || fTrackType==4 || fTrackType==5 || fTrackType==6 || fTrackType==7) {
fb4a2fc7 1195 if(track) delete track;
1196 }
509dc845 1197 if(origtrack) delete origtrack;
d756027f 1198
1199 }//track loop
1200
1201}
1202
1203//________________________________________________________________________
1204void AliPWG4HighPtTrackQA::DoAnalysisAOD() {
006b2a30 1205 //
1206 // Do QA on AOD input
1207 //
d756027f 1208 AliAODEvent *aod = dynamic_cast<AliAODEvent*>(fEvent);
1ea145ef 1209 if(!aod)return;
c3ff0a6e 1210 AliExternalTrackParam *exParam = new AliExternalTrackParam();
d756027f 1211 for (Int_t iTrack = 0; iTrack < fEvent->GetNumberOfTracks(); iTrack++) {
1212
1213 AliAODTrack *aodtrack = aod->GetTrack(iTrack);
1214 if( !aodtrack->TestFilterMask(fFilterMask) ) continue;
1215
1216 fVariables->Reset(0.);
1217
1218 fVariables->SetAt(aodtrack->Pt(),0);
1219 fVariables->SetAt(aodtrack->Phi(),1);
1220 fVariables->SetAt(aodtrack->Eta(),2);
1221
1222 Double_t dca[2] = {1e6,1e6};
1223 Double_t covar[3] = {1e6,1e6,1e6};
1224 if(aodtrack->PropagateToDCA(fEvent->GetPrimaryVertex(),fEvent->GetMagneticField(),100.,dca,covar)) {
1225 fVariables->SetAt(dca[0],3);
1226 fVariables->SetAt(dca[1],4);
1227 }
1228
1229 fVariables->SetAt((float)aodtrack->GetTPCNcls(),5);
1230 fVariables->SetAt((float)aodtrack->GetITSNcls(),6);
aa3ba8d2 1231 fVariables->SetAt(aodtrack->Chi2perNDF(),7);
d756027f 1232 fVariables->SetAt(0.,8);
c3ff0a6e 1233 fVariables->SetAt(GetTrackLengthTPC(aodtrack),9);
d756027f 1234 fVariables->SetAt(aodtrack->Chi2perNDF(),10);
a5e0d236 1235 fVariables->SetAt(GetTPCClusterInfo(aodtrack,2,1),11);
d756027f 1236 Float_t crossedRowsTPCNClsF = 0.;
1237 if(aodtrack->GetTPCNclsF()>0.) crossedRowsTPCNClsF = fVariables->At(11)/aodtrack->GetTPCNclsF();
1238 fVariables->SetAt(crossedRowsTPCNClsF,12);
c3ff0a6e 1239
1240 //get covariance matrix
1241 Double_t cov[21] = {0,};
1242 aodtrack->GetCovMatrix(cov);
1243 Double_t pxpypz[3] = {0,};
1244 aodtrack->PxPyPz(pxpypz);
1245 Double_t xyz[3] = {0,};
1246 aodtrack->GetXYZ(xyz);
1247 Short_t sign = aodtrack->Charge();
1248 exParam->Set(xyz,pxpypz,cov,sign);
1249
1250 fVariables->SetAt(exParam->GetSigmaY2(),13);
1251 fVariables->SetAt(exParam->GetSigmaZ2(),14);
1252 fVariables->SetAt(exParam->GetSigmaSnp2(),15);
1253 fVariables->SetAt(exParam->GetSigmaTgl2(),16);
1254 fVariables->SetAt(exParam->GetSigma1Pt2(),17);
1255
1256 fVariables->SetAt(0.,18);
1257 fVariables->SetAt(0.,19);
d889ce29 1258
1259 TBits sharedClusterMap = aodtrack->GetTPCSharedMap();
1260 fVariables->SetAt(sharedClusterMap.CountBits(),20);
d756027f 1261
dae7dd67 1262 fVariables->SetAt(0.,21); //not available in AOD
1263 fVariables->SetAt(0.,22); //not available in AOD
1264
a5e0d236 1265 fVariables->SetAt(0.,23); //not available in AOD
1266 fVariables->SetAt(0.,24); //not available in AOD
1267
d756027f 1268 fPtAll->Fill(fVariables->At(0));
1269
1270 FillHistograms();
1271
1272 }
1273
1274}
1275
1276//________________________________________________________________________
1277void AliPWG4HighPtTrackQA::FillHistograms() {
006b2a30 1278 //
1279 // Fill all QA histograms
1280 //
d756027f 1281
1282 fPtSel->Fill(fVariables->At(0));
1283 fPtPhi->Fill(fVariables->At(0),fVariables->At(1));
1284 fPtEta->Fill(fVariables->At(0),fVariables->At(2));
1285 fPtDCA2D->Fill(fVariables->At(0),fVariables->At(3));
1286 fPtDCAZ->Fill(fVariables->At(0),fVariables->At(4));
1287 fPtNClustersTPC->Fill(fVariables->At(0),fVariables->At(5));
1288 fPtNPointITS->Fill(fVariables->At(0),fVariables->At(6));
c3ff0a6e 1289
1290
1291 fPtNClustersTPCIter1->Fill(fVariables->At(0),fVariables->At(18));
a5e0d236 1292 fPtNClustersTPCIter1Phi->Fill(fVariables->At(0),fVariables->At(18),fVariables->At(1));
d889ce29 1293 fPtNClustersTPCShared->Fill(fVariables->At(0),fVariables->At(20));
1294 if(fVariables->At(5)>0.)
1295 fPtNClustersTPCSharedFrac->Fill(fVariables->At(0),fVariables->At(20)/fVariables->At(5));
1296
c3ff0a6e 1297 if(fVariables->At(18)>0.)
1298 fPtChi2PerClusterTPCIter1->Fill(fVariables->At(0),fVariables->At(19)/fVariables->At(18));
1299
1300 fPtChi2C->Fill(fVariables->At(0),fVariables->At(7));
1301 fPtNSigmaToVertex->Fill(fVariables->At(0),fVariables->At(8));
1302 fPtRelUncertainty1Pt->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)));
1303 fPtRelUncertainty1PtNClus->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(5));
1304 fPtRelUncertainty1PtNClusIter1->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(18));
b8f6bad5 1305 fPtRelUncertainty1PtNPointITS->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(6));
1306
1307 fPtRelUncertainty1PtITSClusterMap->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),(int)fITSClusterMap);
1308
c3ff0a6e 1309 fPtRelUncertainty1PtChi2->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(10));
1310 if(fVariables->At(18)>0.)
1311 fPtRelUncertainty1PtChi2Iter1->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(19)/fVariables->At(18));
1312 fPtRelUncertainty1PtPhi->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(1));
c3ff0a6e 1313
1314 fPtUncertainty1Pt->Fill(fVariables->At(0),TMath::Sqrt(fVariables->At(17)));
1315 fPtSigmaY2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(13)));
1316 fPtSigmaZ2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(14)));
1317 fPtSigmaSnp2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(15)));
1318 fPtSigmaTgl2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(16)));
1319 fPtSigma1Pt2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(17)));
1320
1321 fProfPtSigmaY2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(13)));
1322 fProfPtSigmaZ2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(14)));
1323 fProfPtSigmaSnp2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(15)));
1324 fProfPtSigmaTgl2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(16)));
1325 fProfPtSigma1Pt2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(17)));
1326 fProfPtSigma1Pt->Fill(fVariables->At(0),TMath::Sqrt(fVariables->At(17)));
1327 fProfPtPtSigma1Pt->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)));
1328
d756027f 1329 fPtChi2PerClusterTPC->Fill(fVariables->At(0),fVariables->At(10));
1330 fPtNCrossedRows->Fill(fVariables->At(0),fVariables->At(11));
a337a5a9 1331 fPtNCrossedRowsPhi->Fill(fVariables->At(0),fVariables->At(11),fVariables->At(1));
b8f6bad5 1332 fPtNCrossedRowsNClusFPhi->Fill(fVariables->At(0),fVariables->At(12),fVariables->At(1));
d756027f 1333 fPtNCrRNCrRNClusF->Fill(fVariables->At(0),fVariables->At(11),fVariables->At(12));
d889ce29 1334
dae7dd67 1335 fPtChi2Gold->Fill(fVariables->At(0),fVariables->At(21));
1336 fPtChi2GGC->Fill(fVariables->At(0),fVariables->At(22));
1337
1338 fPtChi2GoldPhi->Fill(fVariables->At(0),fVariables->At(21),fVariables->At(1));
1339 fPtChi2GGCPhi->Fill(fVariables->At(0),fVariables->At(22),fVariables->At(1));
1340
1341 fChi2GoldChi2GGC->Fill(fVariables->At(21),fVariables->At(22));
1342
a5e0d236 1343 fPtNCrossedRowsFit->Fill(fVariables->At(0),fVariables->At(23));
a337a5a9 1344 fPtNCrossedRowsFitPhi->Fill(fVariables->At(0),fVariables->At(23),fVariables->At(1));
b8f6bad5 1345 fPtNCrossedRowsNClusFFitPhi->Fill(fVariables->At(0),fVariables->At(24),fVariables->At(1));
a337a5a9 1346 fNCrossedRowsNCrossedRowsFit->Fill(fVariables->At(11),fVariables->At(23));
a5e0d236 1347
a337a5a9 1348 fNClustersNCrossedRows->Fill(fVariables->At(5),fVariables->At(11));
1349 fNClustersNCrossedRowsFit->Fill(fVariables->At(5),fVariables->At(23));
dae7dd67 1350
b8f6bad5 1351 fPtRelUncertainty1PtNCrossedRows->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(11));
1352 fPtRelUncertainty1PtNCrossedRowsFit->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(23));
1353
d756027f 1354}
1355
1356//________________________________________________________________________
1357Bool_t AliPWG4HighPtTrackQA::PythiaInfoFromFile(const char* currFile,Float_t &fXsec,Float_t &fTrials){
1358 //
1359 // get the cross section and the trails either from pyxsec.root or from pysec_hists.root
1360 // This is to called in Notify and should provide the path to the AOD/ESD file
1361 // Copied from AliAnalysisTaskJetSpectrum2
1362 //
1363
1364 TString file(currFile);
1365 fXsec = 0;
1366 fTrials = 1;
1367
1368 if(file.Contains("root_archive.zip#")){
1369 Ssiz_t pos1 = file.Index("root_archive",12,TString::kExact);
1370 Ssiz_t pos = file.Index("#",1,pos1,TString::kExact);
1371 file.Replace(pos+1,20,"");
1372 }
1373 else {
1374 // not an archive take the basename....
1375 file.ReplaceAll(gSystem->BaseName(file.Data()),"");
1376 }
1377 // Printf("%s",file.Data());
1378
1379
1380 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
1381 if(!fxsec){
1382 // next trial fetch the histgram file
1383 fxsec = TFile::Open(Form("%s%s",file.Data(),"pyxsec_hists.root"));
1384 if(!fxsec){
1385 // not a severe condition but inciate that we have no information
1386 return kFALSE;
1387 }
1388 else{
1389 // find the tlist we want to be independtent of the name so use the Tkey
1390 TKey* key = (TKey*)fxsec->GetListOfKeys()->At(0);
1391 if(!key){
1392 fxsec->Close();
1393 return kFALSE;
1394 }
1395 TList *list = dynamic_cast<TList*>(key->ReadObj());
1396 if(!list){
1397 fxsec->Close();
1398 return kFALSE;
1399 }
1400 fXsec = ((TProfile*)list->FindObject("h1Xsec"))->GetBinContent(1);
1401 fTrials = ((TH1F*)list->FindObject("h1Trials"))->GetBinContent(1);
1402 fxsec->Close();
1403 }
1404 } // no tree pyxsec.root
1405 else {
1406 TTree *xtree = (TTree*)fxsec->Get("Xsection");
1407 if(!xtree){
1408 fxsec->Close();
1409 return kFALSE;
1410 }
1411 UInt_t ntrials = 0;
1412 Double_t xsection = 0;
1413 xtree->SetBranchAddress("xsection",&xsection);
1414 xtree->SetBranchAddress("ntrials",&ntrials);
1415 xtree->GetEntry(0);
1416 fTrials = ntrials;
1417 fXsec = xsection;
1418 fxsec->Close();
1419 }
1420 return kTRUE;
1421}
1422//________________________________________________________________________
1423Bool_t AliPWG4HighPtTrackQA::Notify()
1424{
1425 //
1426 // Implemented Notify() to read the cross sections
1427 // and number of trials from pyxsec.root
1428 // Copied from AliAnalysisTaskJetSpectrum2
1429 //
1430
1431 TTree *tree = AliAnalysisManager::GetAnalysisManager()->GetTree();
1432 Float_t xsection = 0;
1433 Float_t ftrials = 1;
1434
1435 fAvgTrials = 1;
1436 if(tree){
1437 TFile *curfile = tree->GetCurrentFile();
1438 if (!curfile) {
1439 Error("Notify","No current file");
1440 return kFALSE;
1441 }
1442 if(!fh1Xsec||!fh1Trials){
1443 // Printf("%s%d No Histogram fh1Xsec",(char*)__FILE__,__LINE__);
1444 return kFALSE;
1445 }
1446 PythiaInfoFromFile(curfile->GetName(),xsection,ftrials);
1447 fh1Xsec->Fill("<#sigma>",xsection);
1448 // construct a poor man average trials
1449 Float_t nEntries = (Float_t)tree->GetTree()->GetEntries();
1450 if(ftrials>=nEntries && nEntries>0.)fAvgTrials = ftrials/nEntries;
1451 }
1452 return kTRUE;
1453}
1454
1455//________________________________________________________________________
006b2a30 1456AliGenPythiaEventHeader* AliPWG4HighPtTrackQA::GetPythiaEventHeader(const AliMCEvent *mcEvent){
d756027f 1457
1458 if(!mcEvent)return 0;
1459 AliGenEventHeader* genHeader = mcEvent->GenEventHeader();
1460 AliGenPythiaEventHeader* pythiaGenHeader = dynamic_cast<AliGenPythiaEventHeader*>(genHeader);
1461 if(!pythiaGenHeader){
1462 // cocktail ??
1463 AliGenCocktailEventHeader* genCocktailHeader = dynamic_cast<AliGenCocktailEventHeader*>(genHeader);
1464
1465 if (!genCocktailHeader) {
1466 // AliWarningGeneral(Form(" %s:%d",(char*)__FILE__,__LINE__),"Unknown header type (not Pythia or Cocktail)");
1467 // AliWarning(Form("%s %d: Unknown header type (not Pythia or Cocktail)",(char*)__FILE__,__LINE__));
1468 return 0;
1469 }
1470 TList* headerList = genCocktailHeader->GetHeaders();
1471 for (Int_t i=0; i<headerList->GetEntries(); i++) {
1472 pythiaGenHeader = dynamic_cast<AliGenPythiaEventHeader*>(headerList->At(i));
1473 if (pythiaGenHeader)
1474 break;
1475 }
1476 if(!pythiaGenHeader){
1477 AliWarningGeneral(Form(" %s:%d",(char*)__FILE__,__LINE__),"Pythia event header not found");
1478 return 0;
1479 }
1480 }
1481 return pythiaGenHeader;
1482
1483}
1484
1485//_______________________________________________________________________
006b2a30 1486Float_t AliPWG4HighPtTrackQA::GetTPCClusterInfo(const AliAODTrack *tr,Int_t nNeighbours/*=3*/, Int_t type/*=0*/, Int_t row0, Int_t row1) const
d756027f 1487{
1488 //MV: copied from AliESDtrack since method is not available in AliAODTrack
1489
1490 //
1491 // TPC cluster information
1492 // type 0: get fraction of found/findable clusters with neighbourhood definition
1493 // 1: findable clusters with neighbourhood definition
1494 // 2: found clusters
1495 //
1496 // definition of findable clusters:
1497 // a cluster is defined as findable if there is another cluster
1498 // within +- nNeighbours pad rows. The idea is to overcome threshold
1499 // effects with a very simple algorithm.
1500 //
1501
1502 TBits fTPCClusterMap = tr->GetTPCClusterMap();
1503 if (type==2) return fTPCClusterMap.CountBits();
1504
1505 Int_t found=0;
1506 Int_t findable=0;
1507 Int_t last=-nNeighbours;
1508
1509 for (Int_t i=row0; i<row1; ++i){
1510 //look to current row
1511 if (fTPCClusterMap[i]) {
1512 last=i;
1513 ++found;
1514 ++findable;
1515 continue;
1516 }
1517 //look to nNeighbours before
1518 if ((i-last)<=nNeighbours) {
1519 ++findable;
1520 continue;
1521 }
1522 //look to nNeighbours after
1523 for (Int_t j=i+1; j<i+1+nNeighbours; ++j){
1524 if (fTPCClusterMap[j]){
1525 ++findable;
1526 break;
1527 }
1528 }
1529 }
1530 if (type==1) return findable;
1531
1532 if (type==0){
1533 Float_t fraction=0;
1534 if (findable>0)
1535 fraction=(Float_t)found/(Float_t)findable;
1536 else
1537 fraction=0;
1538 return fraction;
1539 }
1540 return 0; // undefined type - default value
1541}
1542
a5e0d236 1543//_______________________________________________________________________
006b2a30 1544Float_t AliPWG4HighPtTrackQA::GetTPCClusterInfoFitMap(const AliESDtrack *tr,Int_t nNeighbours/*=3*/, Int_t type/*=0*/, Int_t row0, Int_t row1) const
a5e0d236 1545{
1546 //
1547 // TPC cluster information from fit map
1548 // type 0: get fraction of found/findable clusters with neighbourhood definition
1549 // 1: findable clusters with neighbourhood definition
1550 // 2: found clusters
1551 //
1552 // definition of findable clusters:
1553 // a cluster is defined as findable if there is another cluster
1554 // within +- nNeighbours pad rows. The idea is to overcome threshold
1555 // effects with a very simple algorithm.
1556 //
1557
1558 TBits fTPCFitMap = tr->GetTPCFitMap();
1559 if (type==2) return fTPCFitMap.CountBits();
1560
1561 Int_t found=0;
1562 Int_t findable=0;
1563 Int_t last=-nNeighbours;
1564
1565 for (Int_t i=row0; i<row1; ++i){
1566 //look to current row
1567 if (fTPCFitMap[i]) {
1568 last=i;
1569 ++found;
1570 ++findable;
1571 continue;
1572 }
1573 //look to nNeighbours before
1574 if ((i-last)<=nNeighbours) {
1575 ++findable;
1576 continue;
1577 }
1578 //look to nNeighbours after
1579 for (Int_t j=i+1; j<i+1+nNeighbours; ++j){
1580 if (fTPCFitMap[j]){
1581 ++findable;
1582 break;
1583 }
1584 }
1585 }
1586 if (type==1) return findable;
1587
1588 if (type==0){
1589 Float_t fraction=0;
1590 if (findable>0)
1591 fraction=(Float_t)found/(Float_t)findable;
1592 else
1593 fraction=0;
1594 return fraction;
1595 }
1596 return 0; // undefined type - default value
1597}
1598
05cb235d 1599//_______________________________________________________________________
006b2a30 1600Int_t AliPWG4HighPtTrackQA::GetTrackLengthTPC(const AliESDtrack *track) const {
05cb235d 1601 //
c3ff0a6e 1602 // returns distance between 1st and last hit in TPC
1603 // distance given in number of padrows
1604 //
1605
1606 TBits fTPCClusterMap = track->GetTPCClusterMap();
1607 int firstHit = 0;
1608 int lastHit = 0;
1609
1610 for(int i=0; i<=159; i++) {
1611 if(fTPCClusterMap[i]>0) firstHit = i;
1612 }
1613 for(int i=159; i>=0; i--) {
1614 if(fTPCClusterMap[i]>0) lastHit = i;
1615 }
1616
1617 Int_t trackLength = lastHit - firstHit;
1618
1619 return trackLength;
1620}
1621
1622//_______________________________________________________________________
006b2a30 1623Int_t AliPWG4HighPtTrackQA::GetTrackLengthTPC(const AliAODTrack *track) const {
c3ff0a6e 1624 //
1625 // returns distance between 1st and last hit in TPC
05cb235d 1626 // distance given in number of padrows
1627 //
1628
1629 TBits fTPCClusterMap = track->GetTPCClusterMap();
1630 int firstHit = 0;
1631 int lastHit = 0;
1632
c3ff0a6e 1633 for(int i=0; i<=159; i++) {
1634 if(fTPCClusterMap[i]>0) firstHit = i;
05cb235d 1635 }
1636 for(int i=159; i>=0; i--) {
c3ff0a6e 1637 if(fTPCClusterMap[i]>0) lastHit = i;
05cb235d 1638 }
1639
c3ff0a6e 1640 Int_t trackLength = lastHit - firstHit;
1641
1642 return trackLength;
05cb235d 1643}
1644
dae7dd67 1645//_______________________________________________________________________
42881dab 1646Float_t AliPWG4HighPtTrackQA::GetGoldenChi2(AliESDtrack *origtrack) {
dae7dd67 1647 //
1648 // Return chi2 between global and TPC constrained track
42881dab 1649 // track should be the global unconstrained track
dae7dd67 1650 //
1651
1652 Float_t chi2Gold = 0.;
1653
dae7dd67 1654 AliESDtrack *tpcTrack = 0x0;
42881dab 1655 tpcTrack = AliESDtrackCuts::GetTPCOnlyTrack(fESD,origtrack->GetID());
dae7dd67 1656 if(tpcTrack) {
1657 AliExternalTrackParam exParam;
1658 Bool_t relate = tpcTrack->RelateToVertexTPC(fVtx,fESD->GetMagneticField(),kVeryBig,&exParam);
1659 if( relate ) {
1660 tpcTrack->Set(exParam.GetX(),exParam.GetAlpha(),exParam.GetParameter(),exParam.GetCovariance());
1661 // Double_t pTPC[2],covTPC[3]; tpcTrack->PropagateToDCA(fVtx, fESD->GetMagneticField(), 10000, pTPC, covTPC);
1662 }
1663
42881dab 1664 tpcTrack->Propagate(origtrack->GetAlpha(), origtrack->GetX(), fESD->GetMagneticField());
1665 chi2Gold = (Float_t)origtrack->GetPredictedChi2(tpcTrack);
dae7dd67 1666 }
1667
1668 if(tpcTrack) delete tpcTrack;
1669
1670 return chi2Gold;
1671
1672}
1673
1674//_______________________________________________________________________
42881dab 1675Float_t AliPWG4HighPtTrackQA::GetGGCChi2(AliESDtrack *origtrack) {
dae7dd67 1676 //
1677 // Return chi2 between global and global constrained track
42881dab 1678 // track should be the global unconstrained track
dae7dd67 1679 //
1680
1681 Float_t chi2GGC = 0.;
1682
42881dab 1683 AliESDtrack *esdtrackC = new AliESDtrack(*origtrack);
1684 if(esdtrackC) {
c49eda44 1685 if(origtrack->GetConstrainedParam()) {
1686 esdtrackC->Set(origtrack->GetConstrainedParam()->GetX(),origtrack->GetConstrainedParam()->GetAlpha(),origtrack->GetConstrainedParam()->GetParameter(),origtrack->GetConstrainedParam()->GetCovariance());
1687 chi2GGC = (Float_t)origtrack->GetPredictedChi2(esdtrackC);
1688 }
42881dab 1689 delete esdtrackC;
dae7dd67 1690 }
42881dab 1691
dae7dd67 1692 return chi2GGC;
1693
1694}
1695
d756027f 1696//________________________________________________________________________
1697void AliPWG4HighPtTrackQA::Terminate(Option_t *)
1698{
1699 // The Terminate() function is the last function to be called during
1700 // a query. It always runs on the client, it can be used to present
1701 // the results graphically or save the results to file.
1702
1703}
1704
1705#endif