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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 | ||
57 | using namespace std; //required for resolving the 'cout' symbol | |
58 | ||
59 | ClassImp(AliPWG4HighPtTrackQA) | |
60 | ||
61 | AliPWG4HighPtTrackQA::AliPWG4HighPtTrackQA() | |
62 | : AliAnalysisTaskSE(), | |
63 | fDataType(kESD), | |
64 | fEvent(0x0), | |
65 | fESD(0x0), | |
66 | fVtx(0x0), | |
67 | fTrackCuts(0), | |
68 | fTrackType(0), | |
69 | fFilterMask(0), | |
70 | fSigmaConstrainedMax(-1.), | |
71 | fPtMax(100.), | |
72 | fIsPbPb(0), | |
73 | fCentClass(10), | |
74 | fNVariables(18), | |
75 | fVariables(0x0), | |
76 | fAvgTrials(1), | |
77 | fNEventAll(0), | |
78 | fNEventSel(0), | |
79 | fNEventReject(0), | |
80 | fh1Centrality(0x0), | |
81 | fh1Xsec(0), | |
82 | fh1Trials(0), | |
83 | fh1PtHard(0), | |
84 | fh1PtHardTrials(0), | |
85 | fh1NTracksAll(0x0), | |
86 | fh1NTracksReject(0x0), | |
87 | fh1NTracksSel(0x0), | |
88 | fPtAll(0), | |
89 | fPtSel(0), | |
90 | fPtPhi(0x0), | |
91 | fPtEta(0x0), | |
92 | fPtDCA2D(0x0), | |
93 | fPtDCAZ(0x0), | |
94 | fPtNClustersTPC(0x0), | |
95 | fPtNPointITS(0x0), | |
96 | fPtChi2C(0x0), | |
97 | fPtNSigmaToVertex(0x0), | |
98 | fPtRelUncertainty1Pt(0x0), | |
99 | fPtUncertainty1Pt(0x0), | |
100 | fPtChi2PerClusterTPC(0x0), | |
101 | fPtNCrossedRows(0x0), | |
102 | fPtNCrossedRowsNClusF(0x0), | |
103 | fPtNCrRNCrRNClusF(0x0), | |
104 | fPtSigmaY2(0x0), | |
105 | fPtSigmaZ2(0x0), | |
106 | fPtSigmaSnp2(0x0), | |
107 | fPtSigmaTgl2(0x0), | |
108 | fPtSigma1Pt2(0x0), | |
109 | fProfPtSigmaY2(0x0), | |
110 | fProfPtSigmaZ2(0x0), | |
111 | fProfPtSigmaSnp2(0x0), | |
112 | fProfPtSigmaTgl2(0x0), | |
113 | fProfPtSigma1Pt2(0x0), | |
114 | fProfPtSigma1Pt(0x0), | |
115 | fProfPtPtSigma1Pt(0x0), | |
116 | fSystTrackCuts(0x0), | |
117 | fHistList(0) | |
118 | { | |
119 | SetNVariables(18); | |
120 | ||
121 | fPtBinEdges[0][0] = 10.; | |
122 | fPtBinEdges[0][1] = 1.; | |
123 | fPtBinEdges[1][0] = 20.; | |
124 | fPtBinEdges[1][1] = 2.; | |
125 | fPtBinEdges[2][0] = 50.; | |
126 | fPtBinEdges[2][1] = 5.; | |
127 | ||
128 | } | |
129 | //________________________________________________________________________ | |
130 | AliPWG4HighPtTrackQA::AliPWG4HighPtTrackQA(const char *name): | |
131 | AliAnalysisTaskSE(name), | |
132 | fDataType(kESD), | |
133 | fEvent(0x0), | |
134 | fESD(0x0), | |
135 | fVtx(0x0), | |
136 | fTrackCuts(), | |
137 | fTrackType(0), | |
138 | fFilterMask(0), | |
139 | fSigmaConstrainedMax(-1.), | |
140 | fPtMax(100.), | |
141 | fIsPbPb(0), | |
142 | fCentClass(10), | |
143 | fNVariables(18), | |
144 | fVariables(0x0), | |
145 | fAvgTrials(1), | |
146 | fNEventAll(0), | |
147 | fNEventSel(0), | |
148 | fNEventReject(0), | |
149 | fh1Centrality(0x0), | |
150 | fh1Xsec(0), | |
151 | fh1Trials(0), | |
152 | fh1PtHard(0), | |
153 | fh1PtHardTrials(0), | |
154 | fh1NTracksAll(0x0), | |
155 | fh1NTracksReject(0x0), | |
156 | fh1NTracksSel(0x0), | |
157 | fPtAll(0), | |
158 | fPtSel(0), | |
159 | fPtPhi(0x0), | |
160 | fPtEta(0x0), | |
161 | fPtDCA2D(0x0), | |
162 | fPtDCAZ(0x0), | |
163 | fPtNClustersTPC(0x0), | |
164 | fPtNPointITS(0x0), | |
165 | fPtChi2C(0x0), | |
166 | fPtNSigmaToVertex(0x0), | |
167 | fPtRelUncertainty1Pt(0x0), | |
168 | fPtUncertainty1Pt(0x0), | |
169 | fPtChi2PerClusterTPC(0x0), | |
170 | fPtNCrossedRows(0x0), | |
171 | fPtNCrossedRowsNClusF(0x0), | |
172 | fPtNCrRNCrRNClusF(0x0), | |
173 | fPtSigmaY2(0x0), | |
174 | fPtSigmaZ2(0x0), | |
175 | fPtSigmaSnp2(0x0), | |
176 | fPtSigmaTgl2(0x0), | |
177 | fPtSigma1Pt2(0x0), | |
178 | fProfPtSigmaY2(0x0), | |
179 | fProfPtSigmaZ2(0x0), | |
180 | fProfPtSigmaSnp2(0x0), | |
181 | fProfPtSigmaTgl2(0x0), | |
182 | fProfPtSigma1Pt2(0x0), | |
183 | fProfPtSigma1Pt(0x0), | |
184 | fProfPtPtSigma1Pt(0x0), | |
185 | fSystTrackCuts(0x0), | |
186 | fHistList(0) | |
187 | { | |
188 | // | |
189 | // Constructor. Initialization of Inputs and Outputs | |
190 | // | |
191 | AliDebug(2,Form("AliPWG4HighPtTrackQA Calling Constructor")); | |
192 | ||
193 | SetNVariables(18); | |
194 | ||
195 | fPtBinEdges[0][0] = 10.; | |
196 | fPtBinEdges[0][1] = 1.; | |
197 | fPtBinEdges[1][0] = 20.; | |
198 | fPtBinEdges[1][1] = 2.; | |
199 | fPtBinEdges[2][0] = 50.; | |
200 | fPtBinEdges[2][1] = 5.; | |
201 | ||
202 | // Input slot #0 works with a TChain ESD | |
203 | DefineInput(0, TChain::Class()); | |
204 | // Output slot #1 write into a TList | |
205 | DefineOutput(1, TList::Class()); | |
206 | } | |
207 | ||
208 | //________________________________________________________________________ | |
209 | void AliPWG4HighPtTrackQA::SetPtBinEdges(Int_t region, Double_t ptmax, Double_t ptBinWidth) { | |
210 | ||
211 | if(region<3) { | |
212 | fPtBinEdges[region][0] = ptmax; | |
213 | fPtBinEdges[region][1] = ptBinWidth; | |
214 | } | |
215 | else { | |
216 | AliError("Only 3 regions alowed. Use region 0/1/2\n"); | |
217 | return; | |
218 | } | |
219 | ||
220 | } | |
221 | ||
222 | //________________________________________________________________________ | |
223 | void AliPWG4HighPtTrackQA::UserCreateOutputObjects() { | |
224 | //Create output objects | |
225 | AliDebug(2,Form(">> AliPWG4HighPtTrackQA::UserCreateOutputObjects \n")); | |
226 | ||
227 | Bool_t oldStatus = TH1::AddDirectoryStatus(); | |
228 | TH1::AddDirectory(kFALSE); | |
229 | ||
230 | OpenFile(1); | |
231 | fHistList = new TList(); | |
232 | fHistList->SetOwner(kTRUE); | |
233 | ||
234 | Float_t fgkPtMin = 0.; | |
235 | Float_t fgkPtMax = fPtMax; | |
236 | ||
237 | // Float_t ptBinEdges[2][2]; | |
238 | // ptBinEdges[0][0] = 10.; | |
239 | // ptBinEdges[0][1] = 1.; | |
240 | // ptBinEdges[1][0] = 20.; | |
241 | // ptBinEdges[1][1] = 2.; | |
242 | // Float_t binWidth3 = 5.; | |
243 | // if(fPtMax>100.) { | |
244 | // ptBinEdges[0][0] = 100.; | |
245 | // ptBinEdges[0][1] = 5.; | |
246 | // ptBinEdges[1][0] = 300.; | |
247 | // ptBinEdges[1][1] = 10.; | |
248 | // binWidth3 = 20.; | |
249 | // } | |
250 | ||
251 | //fPtBinEdges[region][0] = ptmax of region ; fPtBinEdges[region][1] = binWidth of region | |
252 | const Float_t ptmin1 = fgkPtMin; | |
253 | const Float_t ptmax1 = fPtBinEdges[0][0]; | |
254 | const Float_t ptmin2 = ptmax1 ; | |
255 | const Float_t ptmax2 = fPtBinEdges[1][0]; | |
256 | const Float_t ptmin3 = ptmax2 ; | |
257 | const Float_t ptmax3 = fgkPtMax; | |
258 | const Int_t nbin11 = (int)((ptmax1-ptmin1)/fPtBinEdges[0][1]); | |
259 | const Int_t nbin12 = (int)((ptmax2-ptmin2)/fPtBinEdges[1][1])+nbin11; | |
260 | const Int_t nbin13 = (int)((ptmax3-ptmin3)/fPtBinEdges[2][1])+nbin12; | |
261 | Int_t fgkNPtBins=nbin13; | |
262 | //Create array with low edges of each bin | |
263 | Double_t *binsPt=new Double_t[fgkNPtBins+1]; | |
264 | for(Int_t i=0; i<=fgkNPtBins; i++) { | |
265 | if(i<=nbin11) binsPt[i]=(Double_t)ptmin1 + (ptmax1-ptmin1)/nbin11*(Double_t)i ; | |
266 | if(i<=nbin12 && i>nbin11) binsPt[i]=(Double_t)ptmin2 + (ptmax2-ptmin2)/(nbin12-nbin11)*((Double_t)i-(Double_t)nbin11) ; | |
267 | if(i<=nbin13 && i>nbin12) binsPt[i]=(Double_t)ptmin3 + (ptmax3-ptmin3)/(nbin13-nbin12)*((Double_t)i-(Double_t)nbin12) ; | |
268 | } | |
269 | ||
270 | Int_t fgkNPhiBins = 18*6; | |
271 | Float_t kMinPhi = 0.; | |
272 | Float_t kMaxPhi = 2.*TMath::Pi(); | |
273 | Double_t *binsPhi = new Double_t[fgkNPhiBins+1]; | |
274 | for(Int_t i=0; i<=fgkNPhiBins; i++) binsPhi[i]=(Double_t)kMinPhi + (kMaxPhi-kMinPhi)/fgkNPhiBins*(Double_t)i ; | |
275 | ||
276 | Int_t fgkNEtaBins=20; | |
277 | Float_t fgkEtaMin = -1.; | |
278 | Float_t fgkEtaMax = 1.; | |
279 | Double_t *binsEta=new Double_t[fgkNEtaBins+1]; | |
280 | for(Int_t i=0; i<=fgkNEtaBins; i++) binsEta[i]=(Double_t)fgkEtaMin + (fgkEtaMax-fgkEtaMin)/fgkNEtaBins*(Double_t)i ; | |
281 | ||
282 | Int_t fgkNNClustersTPCBins=80; | |
283 | Float_t fgkNClustersTPCMin = 0.5; | |
284 | Float_t fgkNClustersTPCMax = 160.5; | |
285 | Double_t *binsNClustersTPC=new Double_t[fgkNNClustersTPCBins+1]; | |
286 | for(Int_t i=0; i<=fgkNNClustersTPCBins; i++) binsNClustersTPC[i]=(Double_t)fgkNClustersTPCMin + (fgkNClustersTPCMax-fgkNClustersTPCMin)/fgkNNClustersTPCBins*(Double_t)i ; | |
287 | ||
288 | Int_t fgkNDCA2DBins=80; | |
289 | Float_t fgkDCA2DMin = -0.2; | |
290 | Float_t fgkDCA2DMax = 0.2; | |
291 | if(fTrackType==1 || fTrackType==2 || fTrackType==4) { | |
292 | fgkDCA2DMin = -2.; | |
293 | fgkDCA2DMax = 2.; | |
294 | } | |
295 | Double_t *binsDCA2D=new Double_t[fgkNDCA2DBins+1]; | |
296 | for(Int_t i=0; i<=fgkNDCA2DBins; i++) binsDCA2D[i]=(Double_t)fgkDCA2DMin + (fgkDCA2DMax-fgkDCA2DMin)/fgkNDCA2DBins*(Double_t)i ; | |
297 | ||
298 | Int_t fgkNDCAZBins=80; | |
299 | Float_t fgkDCAZMin = -2.; | |
300 | Float_t fgkDCAZMax = 2.; | |
301 | if(fTrackType==1 || fTrackType==2 || fTrackType==4) { | |
302 | fgkDCAZMin = -5.; | |
303 | fgkDCAZMax = 5.; | |
304 | } | |
305 | Double_t *binsDCAZ=new Double_t[fgkNDCAZBins+1]; | |
306 | for(Int_t i=0; i<=fgkNDCAZBins; i++) binsDCAZ[i]=(Double_t)fgkDCAZMin + (fgkDCAZMax-fgkDCAZMin)/fgkNDCAZBins*(Double_t)i ; | |
307 | ||
308 | Int_t fgkNNPointITSBins=9; | |
309 | Float_t fgkNPointITSMin = -0.5; | |
310 | Float_t fgkNPointITSMax = 8.5; | |
311 | Double_t *binsNPointITS=new Double_t[fgkNNPointITSBins+1]; | |
312 | for(Int_t i=0; i<=fgkNNPointITSBins; i++) binsNPointITS[i]=(Double_t)fgkNPointITSMin + (fgkNPointITSMax-fgkNPointITSMin)/fgkNNPointITSBins*(Double_t)i ; | |
313 | ||
314 | Int_t fgkNNSigmaToVertexBins=40; | |
315 | Float_t fgkNSigmaToVertexMin = 0.; | |
316 | Float_t fgkNSigmaToVertexMax = 8.; | |
317 | Double_t *binsNSigmaToVertex=new Double_t[fgkNNSigmaToVertexBins+1]; | |
318 | for(Int_t i=0; i<=fgkNNSigmaToVertexBins; i++) binsNSigmaToVertex[i]=(Double_t)fgkNSigmaToVertexMin + (fgkNSigmaToVertexMax-fgkNSigmaToVertexMin)/fgkNNSigmaToVertexBins*(Double_t)i ; | |
319 | ||
320 | Int_t fgkNChi2CBins=20; | |
321 | Float_t fgkChi2CMin = 0.; | |
322 | Float_t fgkChi2CMax = 100.; | |
323 | Double_t *binsChi2C=new Double_t[fgkNChi2CBins+1]; | |
324 | for(Int_t i=0; i<=fgkNChi2CBins; i++) binsChi2C[i]=(Double_t)fgkChi2CMin + (fgkChi2CMax-fgkChi2CMin)/fgkNChi2CBins*(Double_t)i ; | |
325 | ||
326 | Int_t fgkNRel1PtUncertaintyBins=30; | |
327 | Float_t fgkRel1PtUncertaintyMin = 0.; | |
328 | Float_t fgkRel1PtUncertaintyMax = 0.3; | |
329 | if(fTrackType==1 || fTrackType==2 || fTrackType==4) | |
330 | fgkRel1PtUncertaintyMax = 0.5; | |
331 | Double_t *binsRel1PtUncertainty=new Double_t[fgkNRel1PtUncertaintyBins+1]; | |
332 | for(Int_t i=0; i<=fgkNRel1PtUncertaintyBins; i++) binsRel1PtUncertainty[i]=(Double_t)fgkRel1PtUncertaintyMin + (fgkRel1PtUncertaintyMax-fgkRel1PtUncertaintyMin)/fgkNRel1PtUncertaintyBins*(Double_t)i ; | |
333 | ||
334 | Int_t fgkNUncertainty1PtBins = 30; | |
335 | Float_t fgkUncertainty1PtMin = 0.; | |
336 | Float_t fgkUncertainty1PtMax = 0.1; | |
337 | if(fTrackType==1 || fTrackType==2 || fTrackType==4) | |
338 | fgkUncertainty1PtMax = 0.2; | |
339 | Double_t *binsUncertainty1Pt=new Double_t[fgkNUncertainty1PtBins+1]; | |
340 | for(Int_t i=0; i<=fgkNUncertainty1PtBins; i++) binsUncertainty1Pt[i]=(Double_t)fgkUncertainty1PtMin + (fgkUncertainty1PtMax-fgkUncertainty1PtMin)/fgkNUncertainty1PtBins*(Double_t)i ; | |
341 | ||
342 | Float_t fgkChi2PerClusMin = 0.; | |
343 | Float_t fgkChi2PerClusMax = 4.; | |
344 | Int_t fgkNChi2PerClusBins = (int)(fgkChi2PerClusMax*10.); | |
345 | Double_t *binsChi2PerClus=new Double_t[fgkNChi2PerClusBins+1]; | |
346 | for(Int_t i=0; i<=fgkNChi2PerClusBins; i++) binsChi2PerClus[i]=(Double_t)fgkChi2PerClusMin + (fgkChi2PerClusMax-fgkChi2PerClusMin)/fgkNChi2PerClusBins*(Double_t)i ; | |
347 | ||
348 | Int_t fgkNCrossedRowsNClusFBins = 50; | |
349 | Float_t fgkNCrossedRowsNClusFMin = 0.; | |
350 | Float_t fgkNCrossedRowsNClusFMax = 1.; | |
351 | Double_t *binsNCrossedRowsNClusF=new Double_t[fgkNCrossedRowsNClusFBins+1]; | |
352 | for(Int_t i=0; i<=fgkNCrossedRowsNClusFBins; i++) binsNCrossedRowsNClusF[i]=(Double_t)fgkNCrossedRowsNClusFMin + (fgkNCrossedRowsNClusFMax-fgkNCrossedRowsNClusFMin)/fgkNCrossedRowsNClusFBins*(Double_t)i ; | |
353 | ||
354 | Float_t fgk1PtMin = 0.; | |
355 | Float_t fgk1PtMax = 6.; | |
356 | Float_t binEdge1Pt1 = 1.; | |
357 | Float_t binWidth1Pt1 = 0.05; | |
358 | Int_t fgkN1PtBins1 = (int)((binEdge1Pt1-fgk1PtMin)/binWidth1Pt1); | |
359 | Float_t binWidth1Pt2 = 0.1; | |
360 | Int_t fgkN1PtBins2 = (int)((fgk1PtMax-binEdge1Pt1)/binWidth1Pt2); | |
361 | Int_t fgkN1PtBins = fgkN1PtBins1+fgkN1PtBins2; | |
362 | Double_t *bins1Pt=new Double_t[fgkN1PtBins+1]; | |
363 | ||
364 | for(Int_t i=0; i<=fgkN1PtBins; i++) { | |
365 | if(i<=fgkN1PtBins1) | |
366 | bins1Pt[i]=(Double_t)fgk1PtMin + (Double_t)(binEdge1Pt1-fgk1PtMin)/(Double_t)fgkN1PtBins1*(Double_t)i; | |
367 | if(i<=fgkN1PtBins && i>fgkN1PtBins1) | |
368 | bins1Pt[i]=(Double_t)binEdge1Pt1 + (Double_t)(fgk1PtMax-binEdge1Pt1)/(Double_t)fgkN1PtBins2*(Double_t)(i-fgkN1PtBins1); | |
369 | } | |
370 | ||
371 | Int_t fgkNSigmaY2Bins = 50; | |
372 | Float_t fgkSigmaY2Min = 0.; | |
373 | Float_t fgkSigmaY2Max = 1.; | |
374 | if(fTrackType==1) fgkSigmaY2Max = 4.; | |
375 | if(fTrackType==2 || fTrackType==4) fgkSigmaY2Max = 0.1; | |
376 | Double_t *binsSigmaY2=new Double_t[fgkNSigmaY2Bins+1]; | |
377 | for(Int_t i=0; i<=fgkNSigmaY2Bins; i++) binsSigmaY2[i]=(Double_t)fgkSigmaY2Min + (fgkSigmaY2Max-fgkSigmaY2Min)/fgkNSigmaY2Bins*(Double_t)i ; | |
378 | ||
379 | Int_t fgkNSigmaZ2Bins = 50; | |
380 | Float_t fgkSigmaZ2Min = 0.; | |
381 | Float_t fgkSigmaZ2Max = 0.4; | |
382 | Double_t *binsSigmaZ2=new Double_t[fgkNSigmaZ2Bins+1]; | |
383 | for(Int_t i=0; i<=fgkNSigmaZ2Bins; i++) binsSigmaZ2[i]=(Double_t)fgkSigmaZ2Min + (fgkSigmaZ2Max-fgkSigmaZ2Min)/fgkNSigmaZ2Bins*(Double_t)i ; | |
384 | ||
385 | Int_t fgkNSigmaSnp2Bins = 50; | |
386 | Float_t fgkSigmaSnp2Min = 0.; | |
387 | Float_t fgkSigmaSnp2Max = 0.05; | |
388 | if(fTrackType==1) fgkSigmaSnp2Max = 0.2; | |
389 | if(fTrackType==2 || fTrackType==4) fgkSigmaSnp2Max = 0.1; | |
390 | Double_t *binsSigmaSnp2=new Double_t[fgkNSigmaSnp2Bins+1]; | |
391 | for(Int_t i=0; i<=fgkNSigmaSnp2Bins; i++) binsSigmaSnp2[i]=(Double_t)fgkSigmaSnp2Min + (fgkSigmaSnp2Max-fgkSigmaSnp2Min)/fgkNSigmaSnp2Bins*(Double_t)i ; | |
392 | ||
393 | Int_t fgkNSigmaTgl2Bins = 50; | |
394 | Float_t fgkSigmaTgl2Min = 0.; | |
395 | Float_t fgkSigmaTgl2Max = 0.1; | |
396 | if(fTrackType==1) fgkSigmaTgl2Max = 0.2; | |
397 | if(fTrackType==2 || fTrackType==4) fgkSigmaTgl2Max = 0.1; | |
398 | Double_t *binsSigmaTgl2=new Double_t[fgkNSigmaTgl2Bins+1]; | |
399 | for(Int_t i=0; i<=fgkNSigmaTgl2Bins; i++) binsSigmaTgl2[i]=(Double_t)fgkSigmaTgl2Min + (fgkSigmaTgl2Max-fgkSigmaTgl2Min)/fgkNSigmaTgl2Bins*(Double_t)i ; | |
400 | ||
401 | Int_t fgkNSigma1Pt2Bins = 50; | |
402 | Float_t fgkSigma1Pt2Min = 0.; | |
403 | Float_t fgkSigma1Pt2Max = 1.; | |
404 | Double_t *binsSigma1Pt2=new Double_t[fgkNSigma1Pt2Bins+1]; | |
405 | for(Int_t i=0; i<=fgkNSigma1Pt2Bins; i++) binsSigma1Pt2[i]=(Double_t)fgkSigma1Pt2Min + (fgkSigma1Pt2Max-fgkSigma1Pt2Min)/fgkNSigma1Pt2Bins*(Double_t)i ; | |
406 | ||
407 | ||
408 | fNEventAll = new TH1F("fNEventAll","NEventAll",1,-0.5,0.5); | |
409 | fHistList->Add(fNEventAll); | |
410 | fNEventSel = new TH1F("fNEventSel","NEvent Selected for analysis",1,-0.5,0.5); | |
411 | fHistList->Add(fNEventSel); | |
412 | fNEventReject = new TH1F("fNEventReject","Reason events are rejectected for analysis",20,0,20); | |
413 | //Set labels | |
414 | fNEventReject->Fill("noESD",0); | |
415 | fNEventReject->Fill("Trigger",0); | |
416 | fNEventReject->Fill("NTracks<2",0); | |
417 | fNEventReject->Fill("noVTX",0); | |
418 | fNEventReject->Fill("VtxStatus",0); | |
419 | fNEventReject->Fill("NCont<2",0); | |
420 | fNEventReject->Fill("ZVTX>10",0); | |
421 | fNEventReject->Fill("cent",0); | |
422 | fNEventReject->Fill("cent>90",0); | |
423 | fHistList->Add(fNEventReject); | |
424 | ||
425 | fh1Centrality = new TH1F("fh1Centrality","fh1Centrality; Centrality %",100,0,100); | |
426 | fHistList->Add(fh1Centrality); | |
427 | ||
428 | fh1Xsec = new TProfile("fh1Xsec","xsec from pyxsec.root",1,0,1); | |
429 | fh1Xsec->GetXaxis()->SetBinLabel(1,"<#sigma>"); | |
430 | fHistList->Add(fh1Xsec); | |
431 | ||
432 | fh1Trials = new TH1F("fh1Trials","trials root file",1,0,1); | |
433 | fh1Trials->GetXaxis()->SetBinLabel(1,"#sum{ntrials}"); | |
434 | fHistList->Add(fh1Trials); | |
435 | ||
436 | fh1PtHard = new TH1F("fh1PtHard","PYTHIA Pt hard;p_{T,hard}",350,-.5,349.5); | |
437 | fHistList->Add(fh1PtHard); | |
438 | fh1PtHardTrials = new TH1F("fh1PtHardTrials","PYTHIA Pt hard weight with trials;p_{T,hard}",350,-.5,349.5); | |
439 | fHistList->Add(fh1PtHardTrials); | |
440 | ||
441 | fh1NTracksAll = new TH1F("fh1NTracksAll","fh1NTracksAll",1,-0.5,0.5); | |
442 | fHistList->Add(fh1NTracksAll); | |
443 | ||
444 | fh1NTracksReject = new TH1F("fh1NTracksReject","fh1NTracksReject",1,-0.5,0.5); | |
445 | fh1NTracksReject->Fill("noESDtrack",0); | |
446 | fh1NTracksReject->Fill("noTPCInner",0); | |
447 | fh1NTracksReject->Fill("FillTPC",0); | |
448 | fh1NTracksReject->Fill("noTPConly",0); | |
449 | fh1NTracksReject->Fill("relate",0); | |
450 | fh1NTracksReject->Fill("trackCuts",0); | |
451 | fh1NTracksReject->Fill("laser",0); | |
452 | fh1NTracksReject->Fill("chi2",0); | |
453 | fHistList->Add(fh1NTracksReject); | |
454 | ||
455 | fh1NTracksSel = new TH1F("fh1NTracksSel","fh1NTracksSel",1,-0.5,0.5); | |
456 | fHistList->Add(fh1NTracksSel); | |
457 | ||
458 | fSystTrackCuts = new TH1F("fSystTrackCuts","fSystTrackCuts",1,-0.5,0.5); | |
459 | fSystTrackCuts->Fill("noCut",0); | |
460 | fSystTrackCuts->Fill("eta",0); | |
461 | fSystTrackCuts->Fill("0.15<pT<1e10",0); | |
462 | fSystTrackCuts->Fill("kink",0); | |
463 | fSystTrackCuts->Fill("NClusterTPC",0); | |
464 | fSystTrackCuts->Fill("Chi2PerNClusTPC",0); | |
465 | fSystTrackCuts->Fill("DCA2D",0); | |
466 | fHistList->Add(fSystTrackCuts); | |
467 | ||
468 | ||
469 | fPtAll = new TH1F("fPtAll","PtAll",fgkNPtBins, binsPt); | |
470 | fHistList->Add(fPtAll); | |
471 | fPtSel = new TH1F("fPtSel","PtSel",fgkNPtBins, binsPt); | |
472 | fHistList->Add(fPtSel); | |
473 | ||
474 | fPtPhi = new TH2F("fPtPhi","fPtPhi",fgkNPtBins,binsPt,fgkNPhiBins,binsPhi); | |
475 | fHistList->Add(fPtPhi); | |
476 | ||
477 | fPtEta = new TH2F("fPtEta","fPtEta",fgkNPtBins,binsPt,fgkNEtaBins,binsEta); | |
478 | fHistList->Add(fPtEta); | |
479 | ||
480 | fPtDCA2D = new TH2F("fPtDCA2D","fPtDCA2D",fgkNPtBins,binsPt,fgkNDCA2DBins,binsDCA2D); | |
481 | fHistList->Add(fPtDCA2D); | |
482 | ||
483 | fPtDCAZ = new TH2F("fPtDCAZ","fPtDCAZ",fgkNPtBins,binsPt,fgkNDCAZBins,binsDCAZ); | |
484 | fHistList->Add(fPtDCAZ); | |
485 | ||
486 | fPtNClustersTPC = new TH2F("fPtNClustersTPC","fPtNClustersTPC",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC); | |
487 | fHistList->Add(fPtNClustersTPC); | |
488 | ||
489 | fPtNPointITS = new TH2F("fPtNPointITS","fPtNPointITS",fgkNPtBins,binsPt,fgkNNPointITSBins,binsNPointITS); | |
490 | fHistList->Add(fPtNPointITS); | |
491 | ||
492 | fPtChi2C = new TH2F("fPtChi2C","fPtChi2C",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C); | |
493 | fHistList->Add(fPtChi2C); | |
494 | ||
495 | fPtNSigmaToVertex = new TH2F("fPtNSigmaToVertex","fPtNSigmaToVertex",fgkNPtBins,binsPt,fgkNNSigmaToVertexBins,binsNSigmaToVertex); | |
496 | fHistList->Add(fPtNSigmaToVertex); | |
497 | ||
498 | fPtRelUncertainty1Pt = new TH2F("fPtRelUncertainty1Pt","fPtRelUncertainty1Pt",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty); | |
499 | fHistList->Add(fPtRelUncertainty1Pt); | |
500 | ||
501 | fPtUncertainty1Pt = new TH2F("fPtUncertainty1Pt","fPtUncertainty1Pt",fgkNPtBins,binsPt,fgkNUncertainty1PtBins,binsUncertainty1Pt); | |
502 | fHistList->Add(fPtUncertainty1Pt); | |
503 | ||
504 | fPtChi2PerClusterTPC = new TH2F("fPtChi2PerClusterTPC","fPtChi2PerClusterTPC",fgkNPtBins,binsPt,fgkNChi2PerClusBins,binsChi2PerClus); | |
505 | fHistList->Add(fPtChi2PerClusterTPC); | |
506 | ||
507 | fPtNCrossedRows = new TH2F("fPtNCrossedRows","fPtNCrossedRows",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC); | |
508 | fHistList->Add(fPtNCrossedRows); | |
509 | ||
510 | fPtNCrossedRowsNClusF = new TH2F("fPtNCrossedRowsNClusF","fPtNCrossedRowsNClusF",fgkNPtBins,binsPt,fgkNCrossedRowsNClusFBins,binsNCrossedRowsNClusF); | |
511 | fHistList->Add(fPtNCrossedRowsNClusF); | |
512 | ||
513 | fPtNCrRNCrRNClusF = new TH3F("fPtNCrRNCrRNClusF","fPtNCrRNCrRNClusF",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNCrossedRowsNClusFBins,binsNCrossedRowsNClusF); | |
514 | fHistList->Add(fPtNCrRNCrRNClusF); | |
515 | ||
516 | fPtSigmaY2 = new TH2F("fPtSigmaY2","fPtSigmaY2",fgkN1PtBins,bins1Pt,fgkNSigmaY2Bins,binsSigmaY2); | |
517 | fHistList->Add(fPtSigmaY2); | |
518 | ||
519 | fPtSigmaZ2 = new TH2F("fPtSigmaZ2","fPtSigmaZ2",fgkN1PtBins,bins1Pt,fgkNSigmaZ2Bins,binsSigmaZ2); | |
520 | fHistList->Add(fPtSigmaZ2); | |
521 | ||
522 | fPtSigmaSnp2 = new TH2F("fPtSigmaSnp2","fPtSigmaSnp2",fgkN1PtBins,bins1Pt,fgkNSigmaSnp2Bins,binsSigmaSnp2); | |
523 | fHistList->Add(fPtSigmaSnp2); | |
524 | ||
525 | fPtSigmaTgl2 = new TH2F("fPtSigmaTgl2","fPtSigmaTgl2",fgkN1PtBins,bins1Pt,fgkNSigmaTgl2Bins,binsSigmaTgl2); | |
526 | fHistList->Add(fPtSigmaTgl2); | |
527 | ||
528 | fPtSigma1Pt2 = new TH2F("fPtSigma1Pt2","fPtSigma1Pt2",fgkN1PtBins,bins1Pt,fgkNSigma1Pt2Bins,binsSigma1Pt2); | |
529 | fHistList->Add(fPtSigma1Pt2); | |
530 | ||
531 | fProfPtSigmaY2 = new TProfile("fProfPtSigmaY2","fProfPtSigmaY2",fgkN1PtBins,bins1Pt); | |
532 | fHistList->Add(fProfPtSigmaY2); | |
533 | ||
534 | fProfPtSigmaZ2 = new TProfile("fProfPtSigmaZ2","fProfPtSigmaZ2",fgkN1PtBins,bins1Pt); | |
535 | fHistList->Add(fProfPtSigmaZ2); | |
536 | ||
537 | fProfPtSigmaSnp2 = new TProfile("fProfPtSigmaSnp2","fProfPtSigmaSnp2",fgkN1PtBins,bins1Pt); | |
538 | fHistList->Add(fProfPtSigmaSnp2); | |
539 | ||
540 | fProfPtSigmaTgl2 = new TProfile("fProfPtSigmaTgl2","fProfPtSigmaTgl2",fgkN1PtBins,bins1Pt); | |
541 | fHistList->Add(fProfPtSigmaTgl2); | |
542 | ||
543 | fProfPtSigma1Pt2 = new TProfile("fProfPtSigma1Pt2","fProfPtSigma1Pt2",fgkN1PtBins,bins1Pt); | |
544 | fHistList->Add(fProfPtSigma1Pt2); | |
545 | ||
546 | fProfPtSigma1Pt = new TProfile("fProfPtSigma1Pt","fProfPtSigma1Pt;p_{T};#sigma(1/p_{T})",fgkNPtBins,binsPt); | |
547 | fHistList->Add(fProfPtSigma1Pt); | |
548 | ||
549 | fProfPtPtSigma1Pt = new TProfile("fProfPtPtSigma1Pt","fProfPtPtSigma1Pt;p_{T};p_{T}#sigma(1/p_{T})",fgkNPtBins,binsPt); | |
550 | fHistList->Add(fProfPtPtSigma1Pt); | |
551 | ||
552 | TH1::AddDirectory(oldStatus); | |
553 | ||
554 | PostData(1, fHistList); | |
555 | ||
556 | if(binsPhi) delete [] binsPhi; | |
557 | if(binsPt) delete [] binsPt; | |
558 | if(binsNClustersTPC) delete [] binsNClustersTPC; | |
559 | if(binsDCA2D) delete [] binsDCA2D; | |
560 | if(binsDCAZ) delete [] binsDCAZ; | |
561 | if(binsNPointITS) delete [] binsNPointITS; | |
562 | if(binsNSigmaToVertex) delete [] binsNSigmaToVertex; | |
563 | if(binsChi2C) delete [] binsChi2C; | |
564 | if(binsEta) delete [] binsEta; | |
565 | if(binsRel1PtUncertainty) delete [] binsRel1PtUncertainty; | |
566 | if(binsUncertainty1Pt) delete [] binsUncertainty1Pt; | |
567 | if(binsChi2PerClus) delete [] binsChi2PerClus; | |
568 | if(binsChi2PerClus) delete [] binsNCrossedRowsNClusF; | |
569 | if(bins1Pt) delete [] bins1Pt; | |
570 | if(binsSigmaY2) delete [] binsSigmaY2; | |
571 | if(binsSigmaZ2) delete [] binsSigmaZ2; | |
572 | if(binsSigmaSnp2) delete [] binsSigmaSnp2; | |
573 | if(binsSigmaTgl2) delete [] binsSigmaTgl2; | |
574 | if(binsSigma1Pt2) delete [] binsSigma1Pt2; | |
575 | } | |
576 | ||
577 | //________________________________________________________________________ | |
578 | Bool_t AliPWG4HighPtTrackQA::SelectEvent() { | |
579 | // | |
580 | // Decide if event should be selected for analysis | |
581 | // | |
582 | ||
583 | // Checks following requirements: | |
584 | // - fEvent available | |
585 | // - trigger info from AliPhysicsSelection | |
586 | // - MCevent available | |
587 | // - number of reconstructed tracks > 1 | |
588 | // - primary vertex reconstructed | |
589 | // - z-vertex < 10 cm | |
590 | // - centrality in case of PbPb | |
591 | ||
592 | Bool_t selectEvent = kTRUE; | |
593 | ||
594 | //fEvent object available? | |
595 | if (!fEvent) { | |
596 | AliDebug(2,Form("ERROR: fInputEvent not available\n")); | |
597 | fNEventReject->Fill("noAliVEvent",1); | |
598 | selectEvent = kFALSE; | |
599 | return selectEvent; | |
600 | } | |
601 | ||
602 | //Check if number of reconstructed tracks is larger than 1 | |
603 | if(!fEvent->GetNumberOfTracks() || fEvent->GetNumberOfTracks()<2) { | |
604 | fNEventReject->Fill("NTracks<2",1); | |
605 | selectEvent = kFALSE; | |
606 | return selectEvent; | |
607 | } | |
608 | ||
609 | //Check if vertex is reconstructed | |
610 | if(fDataType==kESD&&dynamic_cast<AliESDEvent*>(fEvent)) { | |
611 | fVtx = ((AliESDEvent*)fEvent)->GetPrimaryVertexSPD(); | |
612 | ||
613 | if(!fVtx) { | |
614 | fNEventReject->Fill("noVTX",1); | |
615 | selectEvent = kFALSE; | |
616 | return selectEvent; | |
617 | } | |
618 | ||
619 | if(!fVtx->GetStatus()) { | |
620 | fNEventReject->Fill("VtxStatus",1); | |
621 | selectEvent = kFALSE; | |
622 | return selectEvent; | |
623 | } | |
624 | ||
625 | // Need vertex cut | |
626 | if(fVtx->GetNContributors()<2) { | |
627 | fNEventReject->Fill("NCont<2",1); | |
628 | selectEvent = kFALSE; | |
629 | return selectEvent; | |
630 | } | |
631 | ||
632 | //Check if z-vertex < 10 cm | |
633 | double primVtx[3]; | |
634 | fVtx->GetXYZ(primVtx); | |
635 | if(TMath::Sqrt(primVtx[0]*primVtx[0] + primVtx[1]*primVtx[1])>1. || TMath::Abs(primVtx[2]>10.)){ | |
636 | fNEventReject->Fill("ZVTX>10",1); | |
637 | selectEvent = kFALSE; | |
638 | return selectEvent; | |
639 | } | |
640 | } | |
641 | else if(fDataType==kAOD&&dynamic_cast<AliAODEvent*>(fEvent)) { | |
642 | const AliAODVertex *vtx = ((AliAODEvent*)fEvent)->GetPrimaryVertexSPD(); | |
643 | if(!vtx) { | |
644 | fNEventReject->Fill("noVTX",1); | |
645 | selectEvent = kFALSE; | |
646 | return selectEvent; | |
647 | } | |
648 | ||
649 | // Need vertex cut | |
650 | if(vtx->GetNContributors()<2) { | |
651 | fNEventReject->Fill("NCont<2",1); | |
652 | selectEvent = kFALSE; | |
653 | return selectEvent; | |
654 | } | |
655 | ||
656 | //Check if z-vertex < 10 cm | |
657 | double primVtx[3]; | |
658 | vtx->GetXYZ(primVtx); | |
659 | if(TMath::Sqrt(primVtx[0]*primVtx[0] + primVtx[1]*primVtx[1])>1. || TMath::Abs(primVtx[2]>10.)){ | |
660 | fNEventReject->Fill("ZVTX>10",1); | |
661 | selectEvent = kFALSE; | |
662 | return selectEvent; | |
663 | } | |
664 | ||
665 | } | |
666 | ||
667 | //Centrality selection should only be done in case of PbPb | |
668 | if(IsPbPb()) { | |
669 | Float_t cent = 0.; | |
670 | if(fCentClass!=CalculateCentrality(fEvent) && fCentClass!=10) { | |
671 | fNEventReject->Fill("cent",1); | |
672 | selectEvent = kFALSE; | |
673 | return selectEvent; | |
674 | } | |
675 | else { | |
676 | if(fDataType==kESD) { | |
677 | if(dynamic_cast<AliESDEvent*>(fEvent)->GetCentrality()) { | |
678 | cent = dynamic_cast<AliESDEvent*>(fEvent)->GetCentrality()->GetCentralityPercentile("V0M"); | |
679 | } | |
680 | } | |
681 | else if(fDataType==kAOD) { | |
682 | if(dynamic_cast<AliAODEvent*>(fEvent)->GetHeader()->GetCentrality()) | |
683 | cent = dynamic_cast<AliAODEvent*>(fEvent)->GetHeader()->GetCentrality(); | |
684 | } | |
685 | if(cent>90.) { | |
686 | fNEventReject->Fill("cent>90",1); | |
687 | selectEvent = kFALSE; | |
688 | return selectEvent; | |
689 | } | |
690 | fh1Centrality->Fill(cent); | |
691 | } | |
692 | } | |
693 | ||
694 | return selectEvent; | |
695 | ||
696 | } | |
697 | ||
698 | //________________________________________________________________________ | |
699 | Int_t AliPWG4HighPtTrackQA::CalculateCentrality(AliVEvent *ev){ | |
700 | if(fDataType==kESD) | |
701 | return CalculateCentrality(dynamic_cast<AliESDEvent*>(ev)); | |
702 | else if(fDataType==kAOD) | |
703 | return CalculateCentrality(dynamic_cast<AliAODEvent*>(ev)); | |
704 | else | |
705 | return 5; | |
706 | } | |
707 | ||
708 | //________________________________________________________________________ | |
709 | Int_t AliPWG4HighPtTrackQA::CalculateCentrality(AliESDEvent *esd){ | |
710 | ||
711 | ||
712 | Float_t cent = 999; | |
713 | ||
714 | if(esd){ | |
715 | if(esd->GetCentrality()){ | |
716 | cent = esd->GetCentrality()->GetCentralityPercentile("V0M"); | |
717 | if(fDebug>3) cout << "centrality: " << cent << endl; | |
718 | } | |
719 | } | |
720 | ||
721 | if(cent>80)return 4; | |
722 | if(cent>50)return 3; | |
723 | if(cent>30)return 2; | |
724 | if(cent>10)return 1; | |
725 | return 0; | |
726 | ||
727 | } | |
728 | ||
729 | //________________________________________________________________________ | |
730 | Int_t AliPWG4HighPtTrackQA::CalculateCentrality(AliAODEvent *aod){ | |
731 | ||
732 | if(!aod)return 4; | |
733 | Float_t cent = aod->GetHeader()->GetCentrality(); | |
734 | cout << "centrality: " << cent << endl; | |
735 | if(cent>80)return 4; | |
736 | if(cent>50)return 3; | |
737 | if(cent>30)return 2; | |
738 | if(cent>10)return 1; | |
739 | return 0; | |
740 | ||
741 | } | |
742 | ||
743 | //________________________________________________________________________ | |
744 | void AliPWG4HighPtTrackQA::UserExec(Option_t *) { | |
745 | // Main loop | |
746 | // Called for each event | |
747 | AliDebug(2,Form(">> AliPWG4HighPtTrackQA::UserExec \n")); | |
748 | ||
749 | fEvent = InputEvent(); | |
750 | fESD = dynamic_cast<AliESDEvent*>(InputEvent()); | |
751 | ||
752 | // All events without selection | |
753 | fNEventAll->Fill(0.); | |
754 | ||
755 | if(!SelectEvent()) { | |
756 | // Post output data | |
757 | PostData(1, fHistList); | |
758 | return; | |
759 | } | |
760 | ||
761 | ||
762 | //Need to keep track of selected events | |
763 | fNEventSel->Fill(0.); | |
764 | ||
765 | fVariables = new TArrayF(fNVariables); | |
766 | ||
767 | if(fDataType==kESD) DoAnalysisESD(); | |
768 | if(fDataType==kAOD) DoAnalysisAOD(); | |
769 | ||
770 | //Delete old fVariables | |
771 | if(fVariables) delete fVariables; | |
772 | ||
773 | // Post output data | |
774 | PostData(1, fHistList); | |
775 | ||
776 | } | |
777 | ||
778 | //________________________________________________________________________ | |
779 | void AliPWG4HighPtTrackQA::DoAnalysisESD() { | |
780 | ||
781 | if(!fESD) { | |
782 | PostData(1, fHistList); | |
783 | return; | |
784 | } | |
785 | ||
786 | // ---- Get MC Header information (for MC productions in pThard bins) ---- | |
787 | Double_t ptHard = 0.; | |
788 | Double_t nTrials = 1; // trials for MC trigger weight for real data | |
789 | ||
790 | AliMCEventHandler *eventHandlerMC = dynamic_cast<AliMCEventHandler*> (AliAnalysisManager::GetAnalysisManager()->GetMCtruthEventHandler()); | |
791 | if (eventHandlerMC) { | |
792 | ||
793 | if(eventHandlerMC->MCEvent()){ | |
794 | AliGenPythiaEventHeader* pythiaGenHeader = GetPythiaEventHeader(eventHandlerMC->MCEvent()); | |
795 | if(pythiaGenHeader){ | |
796 | nTrials = pythiaGenHeader->Trials(); | |
797 | ptHard = pythiaGenHeader->GetPtHard(); | |
798 | ||
799 | fh1PtHard->Fill(ptHard); | |
800 | fh1PtHardTrials->Fill(ptHard,nTrials); | |
801 | ||
802 | fh1Trials->Fill("#sum{ntrials}",fAvgTrials); | |
803 | } | |
804 | } | |
805 | } | |
806 | ||
807 | Int_t nTracks = fESD->GetNumberOfTracks(); | |
808 | AliDebug(2,Form("nTracks ESD%d", nTracks)); | |
809 | ||
810 | /* | |
811 | Variables to be put in fVariables | |
812 | 0: pt | |
813 | 1: phi | |
814 | 2: eta | |
815 | 3: dca2D | |
816 | 4: dcaZ | |
817 | 5: nClustersTPC | |
818 | 6: nPointITS | |
819 | 7: chi2C | |
820 | 8: nSigmaToVertex | |
821 | 9: relUncertainty1Pt | |
822 | 10: chi2PerClusterTPC | |
823 | 11: #crossed rows | |
824 | 12: (#crossed rows)/(#findable clusters) | |
825 | 13: SigmaY2 | |
826 | 14: SigmaZ2 | |
827 | 15: SigmaSnp2 | |
828 | 16: SigmaTgl2 | |
829 | 17: Sigma1Pt2 | |
830 | */ | |
831 | ||
832 | for (Int_t iTrack = 0; iTrack < nTracks; iTrack++) { | |
833 | fh1NTracksAll->Fill(0.); | |
834 | ||
835 | //Get track for analysis | |
836 | AliESDtrack *track = 0x0; | |
837 | AliESDtrack *esdtrack = fESD->GetTrack(iTrack); | |
838 | if(!esdtrack) { | |
839 | fh1NTracksReject->Fill("noESDtrack",1); | |
840 | continue; | |
841 | } | |
842 | ||
843 | if(fTrackType==4) { | |
844 | FillSystematicCutHist(esdtrack); | |
845 | if (!(fTrackCuts->AcceptTrack(esdtrack))) { | |
846 | fh1NTracksReject->Fill("trackCuts",1); | |
847 | continue; | |
848 | } | |
849 | } | |
850 | ||
851 | if(fTrackType==1) | |
852 | track = AliESDtrackCuts::GetTPCOnlyTrack(fESD,esdtrack->GetID()); | |
853 | else if(fTrackType==2 || fTrackType==4) { | |
854 | track = AliESDtrackCuts::GetTPCOnlyTrack(fESD,esdtrack->GetID()); | |
855 | if(!track) { | |
856 | fh1NTracksReject->Fill("noTPConly",1); | |
857 | continue; | |
858 | } | |
859 | AliExternalTrackParam exParam; | |
860 | Bool_t relate = track->RelateToVertexTPC(fVtx,fESD->GetMagneticField(),kVeryBig,&exParam); | |
861 | if( !relate ) { | |
862 | fh1NTracksReject->Fill("relate",1); | |
863 | delete track; | |
864 | continue; | |
865 | } | |
866 | track->Set(exParam.GetX(),exParam.GetAlpha(),exParam.GetParameter(),exParam.GetCovariance()); | |
867 | } | |
868 | else | |
869 | track = esdtrack; | |
870 | ||
871 | if(!track) { | |
872 | // if(fTrackType==1 || fTrackType==2 || fTrackType==4) delete track; | |
873 | continue; | |
874 | } | |
875 | ||
876 | if(fTrackType==2 || fTrackType==4) { | |
877 | //Cut on chi2 of constrained fit | |
878 | if(track->GetConstrainedChi2TPC() > fSigmaConstrainedMax*fSigmaConstrainedMax && fSigmaConstrainedMax>0.) { | |
879 | fh1NTracksReject->Fill("chi2",1); | |
880 | delete track; | |
881 | continue; | |
882 | } | |
883 | } | |
884 | ||
885 | if(fTrackType!=4) | |
886 | FillSystematicCutHist(track); | |
887 | ||
888 | fPtAll->Fill(track->Pt()); | |
889 | ||
890 | if (!(fTrackCuts->AcceptTrack(track)) && fTrackType!=4) { | |
891 | fh1NTracksReject->Fill("trackCuts",1); | |
892 | if(fTrackType==1 || fTrackType==2) delete track; | |
893 | continue; | |
894 | } | |
895 | ||
896 | //Cut out laser tracks | |
897 | if(track->GetTPCsignal()<10) { //Cut on laser tracks | |
898 | fh1NTracksReject->Fill("laser",1); | |
899 | if(fTrackType==1 || fTrackType==2 || fTrackType==4) delete track; | |
900 | continue; | |
901 | } | |
902 | ||
903 | fh1NTracksSel->Fill(0.); | |
904 | ||
905 | fVariables->Reset(0.); | |
906 | ||
907 | fVariables->SetAt(track->Pt(),0); | |
908 | fVariables->SetAt(track->Phi(),1); | |
909 | fVariables->SetAt(track->Eta(),2); | |
910 | ||
911 | Float_t dca2D = 0.; | |
912 | Float_t dcaz = 0.; | |
913 | if(fTrackType==0) { //Global | |
914 | track->GetImpactParameters(dca2D,dcaz); | |
915 | } | |
916 | else if(fTrackType==1 || fTrackType==2 || fTrackType==4) { //TPConly | |
917 | track->GetImpactParametersTPC(dca2D,dcaz); | |
918 | } | |
919 | fVariables->SetAt(dca2D,3); | |
920 | fVariables->SetAt(dcaz,5); | |
921 | ||
922 | fVariables->SetAt((float)track->GetTPCNcls(),5); | |
923 | ||
924 | Int_t nPointITS = 0; | |
925 | UChar_t itsMap = track->GetITSClusterMap(); | |
926 | for (Int_t i=0; i < 6; i++) { | |
927 | if (itsMap & (1 << i)) | |
928 | nPointITS ++; | |
929 | } | |
930 | fVariables->SetAt((float)nPointITS,6); | |
931 | Float_t chi2C = (float)track->GetConstrainedChi2(); | |
932 | if(fTrackType==1 || fTrackType==2 || fTrackType==4) | |
933 | chi2C = (float)track->GetConstrainedChi2TPC(); | |
934 | fVariables->SetAt(chi2C,7); | |
935 | fVariables->SetAt(fTrackCuts->GetSigmaToVertex(track),8);// Calculates the number of sigma to the vertex for a track. | |
936 | ||
937 | fVariables->SetAt(TMath::Sqrt(track->GetSigma1Pt2())*fVariables->At(0),9); | |
938 | ||
939 | if(fVariables->At(5)>0.) fVariables->SetAt(track->GetTPCchi2()/fVariables->At(5),10); | |
940 | ||
941 | //cout << "#crossed rows (1): " << track->GetTPCClusterInfo(1) << endl; | |
942 | //cout << "#crossed rows (2): " << track->GetTPCClusterInfo(2) << endl; | |
943 | fVariables->SetAt(track->GetTPCClusterInfo(2,1),11); //#crossed rows | |
944 | Float_t crossedRowsTPCNClsF = track->GetTPCClusterInfo(2,0); | |
945 | //if(track->GetTPCNclsF()>0.) crossedRowsTPCNClsF = fVariables->At(11)/track->GetTPCNclsF(); | |
946 | fVariables->SetAt(crossedRowsTPCNClsF,12);//(#crossed rows)/(#findable clusters) | |
947 | fVariables->SetAt(track->GetSigmaY2(),13); | |
948 | fVariables->SetAt(track->GetSigmaZ2(),14); | |
949 | fVariables->SetAt(track->GetSigmaSnp2(),15); | |
950 | fVariables->SetAt(track->GetSigmaTgl2(),16); | |
951 | fVariables->SetAt(track->GetSigma1Pt2(),17); | |
952 | ||
953 | FillHistograms(); | |
954 | ||
955 | // int mult = fTrackCuts->CountAcceptedTracks(fESD); | |
956 | ||
957 | if(fTrackType==1 || fTrackType==2 || fTrackType==4) delete track; | |
958 | ||
959 | }//track loop | |
960 | ||
961 | } | |
962 | ||
963 | //________________________________________________________________________ | |
964 | void AliPWG4HighPtTrackQA::DoAnalysisAOD() { | |
965 | ||
966 | AliAODEvent *aod = dynamic_cast<AliAODEvent*>(fEvent); | |
967 | if(!aod)return; | |
968 | for (Int_t iTrack = 0; iTrack < fEvent->GetNumberOfTracks(); iTrack++) { | |
969 | ||
970 | AliAODTrack *aodtrack = aod->GetTrack(iTrack); | |
971 | if( !aodtrack->TestFilterMask(fFilterMask) ) continue; | |
972 | ||
973 | fVariables->Reset(0.); | |
974 | ||
975 | fVariables->SetAt(aodtrack->Pt(),0); | |
976 | fVariables->SetAt(aodtrack->Phi(),1); | |
977 | fVariables->SetAt(aodtrack->Eta(),2); | |
978 | ||
979 | Double_t dca[2] = {1e6,1e6}; | |
980 | Double_t covar[3] = {1e6,1e6,1e6}; | |
981 | if(aodtrack->PropagateToDCA(fEvent->GetPrimaryVertex(),fEvent->GetMagneticField(),100.,dca,covar)) { | |
982 | fVariables->SetAt(dca[0],3); | |
983 | fVariables->SetAt(dca[1],4); | |
984 | } | |
985 | ||
986 | fVariables->SetAt((float)aodtrack->GetTPCNcls(),5); | |
987 | fVariables->SetAt((float)aodtrack->GetITSNcls(),6); | |
988 | fVariables->SetAt(aodtrack->Chi2perNDF(),7); | |
989 | fVariables->SetAt(0.,8); | |
990 | fVariables->SetAt(0.,9); | |
991 | fVariables->SetAt(aodtrack->Chi2perNDF(),10); | |
992 | fVariables->SetAt(GetTPCClusterInfo(aodtrack,2),11); | |
993 | Float_t crossedRowsTPCNClsF = 0.; | |
994 | if(aodtrack->GetTPCNclsF()>0.) crossedRowsTPCNClsF = fVariables->At(11)/aodtrack->GetTPCNclsF(); | |
995 | fVariables->SetAt(crossedRowsTPCNClsF,12); | |
996 | ||
997 | fPtAll->Fill(fVariables->At(0)); | |
998 | ||
999 | FillHistograms(); | |
1000 | ||
1001 | } | |
1002 | ||
1003 | } | |
1004 | ||
1005 | //________________________________________________________________________ | |
1006 | void AliPWG4HighPtTrackQA::FillHistograms() { | |
1007 | ||
1008 | fPtSel->Fill(fVariables->At(0)); | |
1009 | fPtPhi->Fill(fVariables->At(0),fVariables->At(1)); | |
1010 | fPtEta->Fill(fVariables->At(0),fVariables->At(2)); | |
1011 | fPtDCA2D->Fill(fVariables->At(0),fVariables->At(3)); | |
1012 | fPtDCAZ->Fill(fVariables->At(0),fVariables->At(4)); | |
1013 | fPtNClustersTPC->Fill(fVariables->At(0),fVariables->At(5)); | |
1014 | fPtNPointITS->Fill(fVariables->At(0),fVariables->At(6)); | |
1015 | if(fDataType==kESD) { | |
1016 | fPtChi2C->Fill(fVariables->At(0),fVariables->At(7)); | |
1017 | fPtNSigmaToVertex->Fill(fVariables->At(0),fVariables->At(8)); | |
1018 | fPtRelUncertainty1Pt->Fill(fVariables->At(0),fVariables->At(9)); | |
1019 | fPtUncertainty1Pt->Fill(fVariables->At(0),fVariables->At(0)/fVariables->At(9)); | |
1020 | fPtSigmaY2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(13))); | |
1021 | fPtSigmaZ2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(14))); | |
1022 | fPtSigmaSnp2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(15))); | |
1023 | fPtSigmaTgl2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(16))); | |
1024 | fPtSigma1Pt2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(17))); | |
1025 | ||
1026 | fProfPtSigmaY2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(13))); | |
1027 | fProfPtSigmaZ2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(14))); | |
1028 | fProfPtSigmaSnp2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(15))); | |
1029 | fProfPtSigmaTgl2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(16))); | |
1030 | fProfPtSigma1Pt2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(17))); | |
1031 | fProfPtSigma1Pt->Fill(fVariables->At(0),TMath::Sqrt(fVariables->At(17))); | |
1032 | fProfPtPtSigma1Pt->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17))); | |
1033 | } | |
1034 | fPtChi2PerClusterTPC->Fill(fVariables->At(0),fVariables->At(10)); | |
1035 | fPtNCrossedRows->Fill(fVariables->At(0),fVariables->At(11)); | |
1036 | fPtNCrossedRowsNClusF->Fill(fVariables->At(0),fVariables->At(12)); | |
1037 | fPtNCrRNCrRNClusF->Fill(fVariables->At(0),fVariables->At(11),fVariables->At(12)); | |
1038 | } | |
1039 | ||
1040 | //________________________________________________________________________ | |
1041 | Bool_t AliPWG4HighPtTrackQA::PythiaInfoFromFile(const char* currFile,Float_t &fXsec,Float_t &fTrials){ | |
1042 | // | |
1043 | // get the cross section and the trails either from pyxsec.root or from pysec_hists.root | |
1044 | // This is to called in Notify and should provide the path to the AOD/ESD file | |
1045 | // Copied from AliAnalysisTaskJetSpectrum2 | |
1046 | // | |
1047 | ||
1048 | TString file(currFile); | |
1049 | fXsec = 0; | |
1050 | fTrials = 1; | |
1051 | ||
1052 | if(file.Contains("root_archive.zip#")){ | |
1053 | Ssiz_t pos1 = file.Index("root_archive",12,TString::kExact); | |
1054 | Ssiz_t pos = file.Index("#",1,pos1,TString::kExact); | |
1055 | file.Replace(pos+1,20,""); | |
1056 | } | |
1057 | else { | |
1058 | // not an archive take the basename.... | |
1059 | file.ReplaceAll(gSystem->BaseName(file.Data()),""); | |
1060 | } | |
1061 | // Printf("%s",file.Data()); | |
1062 | ||
1063 | ||
1064 | 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 | |
1065 | if(!fxsec){ | |
1066 | // next trial fetch the histgram file | |
1067 | fxsec = TFile::Open(Form("%s%s",file.Data(),"pyxsec_hists.root")); | |
1068 | if(!fxsec){ | |
1069 | // not a severe condition but inciate that we have no information | |
1070 | return kFALSE; | |
1071 | } | |
1072 | else{ | |
1073 | // find the tlist we want to be independtent of the name so use the Tkey | |
1074 | TKey* key = (TKey*)fxsec->GetListOfKeys()->At(0); | |
1075 | if(!key){ | |
1076 | fxsec->Close(); | |
1077 | return kFALSE; | |
1078 | } | |
1079 | TList *list = dynamic_cast<TList*>(key->ReadObj()); | |
1080 | if(!list){ | |
1081 | fxsec->Close(); | |
1082 | return kFALSE; | |
1083 | } | |
1084 | fXsec = ((TProfile*)list->FindObject("h1Xsec"))->GetBinContent(1); | |
1085 | fTrials = ((TH1F*)list->FindObject("h1Trials"))->GetBinContent(1); | |
1086 | fxsec->Close(); | |
1087 | } | |
1088 | } // no tree pyxsec.root | |
1089 | else { | |
1090 | TTree *xtree = (TTree*)fxsec->Get("Xsection"); | |
1091 | if(!xtree){ | |
1092 | fxsec->Close(); | |
1093 | return kFALSE; | |
1094 | } | |
1095 | UInt_t ntrials = 0; | |
1096 | Double_t xsection = 0; | |
1097 | xtree->SetBranchAddress("xsection",&xsection); | |
1098 | xtree->SetBranchAddress("ntrials",&ntrials); | |
1099 | xtree->GetEntry(0); | |
1100 | fTrials = ntrials; | |
1101 | fXsec = xsection; | |
1102 | fxsec->Close(); | |
1103 | } | |
1104 | return kTRUE; | |
1105 | } | |
1106 | //________________________________________________________________________ | |
1107 | Bool_t AliPWG4HighPtTrackQA::Notify() | |
1108 | { | |
1109 | // | |
1110 | // Implemented Notify() to read the cross sections | |
1111 | // and number of trials from pyxsec.root | |
1112 | // Copied from AliAnalysisTaskJetSpectrum2 | |
1113 | // | |
1114 | ||
1115 | TTree *tree = AliAnalysisManager::GetAnalysisManager()->GetTree(); | |
1116 | Float_t xsection = 0; | |
1117 | Float_t ftrials = 1; | |
1118 | ||
1119 | fAvgTrials = 1; | |
1120 | if(tree){ | |
1121 | TFile *curfile = tree->GetCurrentFile(); | |
1122 | if (!curfile) { | |
1123 | Error("Notify","No current file"); | |
1124 | return kFALSE; | |
1125 | } | |
1126 | if(!fh1Xsec||!fh1Trials){ | |
1127 | // Printf("%s%d No Histogram fh1Xsec",(char*)__FILE__,__LINE__); | |
1128 | return kFALSE; | |
1129 | } | |
1130 | PythiaInfoFromFile(curfile->GetName(),xsection,ftrials); | |
1131 | fh1Xsec->Fill("<#sigma>",xsection); | |
1132 | // construct a poor man average trials | |
1133 | Float_t nEntries = (Float_t)tree->GetTree()->GetEntries(); | |
1134 | if(ftrials>=nEntries && nEntries>0.)fAvgTrials = ftrials/nEntries; | |
1135 | } | |
1136 | return kTRUE; | |
1137 | } | |
1138 | ||
1139 | //________________________________________________________________________ | |
1140 | AliGenPythiaEventHeader* AliPWG4HighPtTrackQA::GetPythiaEventHeader(AliMCEvent *mcEvent){ | |
1141 | ||
1142 | if(!mcEvent)return 0; | |
1143 | AliGenEventHeader* genHeader = mcEvent->GenEventHeader(); | |
1144 | AliGenPythiaEventHeader* pythiaGenHeader = dynamic_cast<AliGenPythiaEventHeader*>(genHeader); | |
1145 | if(!pythiaGenHeader){ | |
1146 | // cocktail ?? | |
1147 | AliGenCocktailEventHeader* genCocktailHeader = dynamic_cast<AliGenCocktailEventHeader*>(genHeader); | |
1148 | ||
1149 | if (!genCocktailHeader) { | |
1150 | // AliWarningGeneral(Form(" %s:%d",(char*)__FILE__,__LINE__),"Unknown header type (not Pythia or Cocktail)"); | |
1151 | // AliWarning(Form("%s %d: Unknown header type (not Pythia or Cocktail)",(char*)__FILE__,__LINE__)); | |
1152 | return 0; | |
1153 | } | |
1154 | TList* headerList = genCocktailHeader->GetHeaders(); | |
1155 | for (Int_t i=0; i<headerList->GetEntries(); i++) { | |
1156 | pythiaGenHeader = dynamic_cast<AliGenPythiaEventHeader*>(headerList->At(i)); | |
1157 | if (pythiaGenHeader) | |
1158 | break; | |
1159 | } | |
1160 | if(!pythiaGenHeader){ | |
1161 | AliWarningGeneral(Form(" %s:%d",(char*)__FILE__,__LINE__),"Pythia event header not found"); | |
1162 | return 0; | |
1163 | } | |
1164 | } | |
1165 | return pythiaGenHeader; | |
1166 | ||
1167 | } | |
1168 | ||
1169 | //_______________________________________________________________________ | |
1170 | Float_t AliPWG4HighPtTrackQA::GetTPCClusterInfo(AliAODTrack *tr,Int_t nNeighbours/*=3*/, Int_t type/*=0*/, Int_t row0, Int_t row1) const | |
1171 | { | |
1172 | //MV: copied from AliESDtrack since method is not available in AliAODTrack | |
1173 | ||
1174 | // | |
1175 | // TPC cluster information | |
1176 | // type 0: get fraction of found/findable clusters with neighbourhood definition | |
1177 | // 1: findable clusters with neighbourhood definition | |
1178 | // 2: found clusters | |
1179 | // | |
1180 | // definition of findable clusters: | |
1181 | // a cluster is defined as findable if there is another cluster | |
1182 | // within +- nNeighbours pad rows. The idea is to overcome threshold | |
1183 | // effects with a very simple algorithm. | |
1184 | // | |
1185 | ||
1186 | TBits fTPCClusterMap = tr->GetTPCClusterMap(); | |
1187 | if (type==2) return fTPCClusterMap.CountBits(); | |
1188 | ||
1189 | Int_t found=0; | |
1190 | Int_t findable=0; | |
1191 | Int_t last=-nNeighbours; | |
1192 | ||
1193 | for (Int_t i=row0; i<row1; ++i){ | |
1194 | //look to current row | |
1195 | if (fTPCClusterMap[i]) { | |
1196 | last=i; | |
1197 | ++found; | |
1198 | ++findable; | |
1199 | continue; | |
1200 | } | |
1201 | //look to nNeighbours before | |
1202 | if ((i-last)<=nNeighbours) { | |
1203 | ++findable; | |
1204 | continue; | |
1205 | } | |
1206 | //look to nNeighbours after | |
1207 | for (Int_t j=i+1; j<i+1+nNeighbours; ++j){ | |
1208 | if (fTPCClusterMap[j]){ | |
1209 | ++findable; | |
1210 | break; | |
1211 | } | |
1212 | } | |
1213 | } | |
1214 | if (type==1) return findable; | |
1215 | ||
1216 | if (type==0){ | |
1217 | Float_t fraction=0; | |
1218 | if (findable>0) | |
1219 | fraction=(Float_t)found/(Float_t)findable; | |
1220 | else | |
1221 | fraction=0; | |
1222 | return fraction; | |
1223 | } | |
1224 | return 0; // undefined type - default value | |
1225 | } | |
1226 | ||
1227 | void AliPWG4HighPtTrackQA::FillSystematicCutHist(AliESDtrack *track) { | |
1228 | ||
1229 | fSystTrackCuts->Fill("noCut",1); | |
1230 | if(TMath::Abs(track->Eta())>0.9) | |
1231 | fSystTrackCuts->Fill("eta",1); | |
1232 | if(track->Pt()<0.15 || track->Pt()>1e10) | |
1233 | fSystTrackCuts->Fill("0.15<pT<1e10",1); | |
1234 | if(track->GetKinkIndex(0)>0) | |
1235 | fSystTrackCuts->Fill("kink",1); | |
1236 | if(track->GetTPCclusters(0)<70) | |
1237 | fSystTrackCuts->Fill("NClusterTPC",1); | |
1238 | if(track->GetTPCclusters(0)>0.) { | |
1239 | if(track->GetTPCchi2()/Float_t(track->GetTPCclusters(0))>4.) | |
1240 | fSystTrackCuts->Fill("Chi2PerNClusTPC",1); | |
1241 | } | |
1242 | ||
1243 | Float_t dcaToVertexXY = 0.; | |
1244 | Float_t dcaToVertexZ = 0.; | |
1245 | track->GetImpactParameters(dcaToVertexXY,dcaToVertexZ); | |
1246 | Float_t fCutMaxDCAToVertexXY = 2.4; | |
1247 | Float_t fCutMaxDCAToVertexZ = 3.2; | |
1248 | Float_t dcaToVertex = TMath::Sqrt(dcaToVertexXY*dcaToVertexXY/fCutMaxDCAToVertexXY/fCutMaxDCAToVertexXY + dcaToVertexZ*dcaToVertexZ/fCutMaxDCAToVertexZ/fCutMaxDCAToVertexZ); | |
1249 | if(dcaToVertex>1.) | |
1250 | fSystTrackCuts->Fill("DCA2D",1); | |
1251 | ||
1252 | } | |
1253 | ||
1254 | //________________________________________________________________________ | |
1255 | void AliPWG4HighPtTrackQA::Terminate(Option_t *) | |
1256 | { | |
1257 | // The Terminate() function is the last function to be called during | |
1258 | // a query. It always runs on the client, it can be used to present | |
1259 | // the results graphically or save the results to file. | |
1260 | ||
1261 | } | |
1262 | ||
1263 | #endif |