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7cc34f08 | 1 | //------------------------------------------------------------------------------ |
2 | // Implementation of AliPerformanceDCA class. It keeps information from | |
3 | // comparison of reconstructed and MC particle tracks. In addtion, | |
4 | // it keeps selection cuts used during comparison. The comparison | |
5 | // information is stored in the ROOT histograms. Analysis of these | |
6 | // histograms can be done by using Analyse() class function. The result of | |
7 | // the analysis (histograms/graphs) are stored in the folder | |
8 | // which is a data member of AliPerformanceDCA. | |
9 | // | |
10 | // Author: J.Otwinowski 04/02/2008 | |
11 | //------------------------------------------------------------------------------ | |
12 | ||
13 | /* | |
14 | ||
15 | // after running comparison task, read the file, and get component | |
2bfe5463 | 16 | gROOT->LoadMacro("$ALICE_ROOT/PWGPP/Macros/LoadMyLibs.C"); |
7cc34f08 | 17 | LoadMyLibs(); |
18 | TFile f("Output.root"); | |
19 | AliPerformanceDCA * compObj = (AliPerformanceDCA*)coutput->FindObject("AliPerformanceDCA"); | |
20 | ||
21 | // Analyse comparison data | |
22 | compObj->Analyse(); | |
23 | ||
24 | // the output histograms/graphs will be stored in the folder "folderDCA" | |
25 | compObj->GetAnalysisFolder()->ls("*"); | |
26 | ||
27 | // user can save whole comparison object (or only folder with anlysed histograms) | |
28 | // in the seperate output file (e.g.) | |
29 | TFile fout("Analysed_DCA.root","recreate"); | |
30 | compObj->Write(); // compObj->GetAnalysisFolder()->Write(); | |
31 | fout.Close(); | |
32 | ||
33 | */ | |
34 | ||
35 | #include <TAxis.h> | |
36 | #include <TCanvas.h> | |
37 | #include <TGraph.h> | |
38 | #include <TGraph2D.h> | |
39 | #include <TH1.h> | |
40 | #include <TH2.h> | |
41 | #include <TH3.h> | |
4bb5f8a9 | 42 | #include <TF1.h> |
7cc34f08 | 43 | |
44 | #include "AliPerformanceDCA.h" | |
45 | #include "AliESDEvent.h" | |
46 | #include "AliESDVertex.h" | |
47 | #include "AliLog.h" | |
48 | #include "AliMathBase.h" | |
49 | #include "AliRecInfoCuts.h" | |
50 | #include "AliMCInfoCuts.h" | |
51 | #include "AliStack.h" | |
52 | #include "AliMCEvent.h" | |
53 | #include "AliTracker.h" | |
54 | #include "AliHeader.h" | |
55 | #include "AliGenEventHeader.h" | |
56 | ||
57 | using namespace std; | |
58 | ||
59 | ClassImp(AliPerformanceDCA) | |
60 | ||
61 | //_____________________________________________________________________________ | |
4823e4d4 | 62 | AliPerformanceDCA::AliPerformanceDCA(const Char_t* name, const Char_t* title,Int_t analysisMode, Bool_t hptGenerator): |
7cc34f08 | 63 | AliPerformanceObject(name,title), |
64 | ||
65 | // DCA histograms | |
66 | fDCAHisto(0), | |
67 | ||
68 | // Cuts | |
69 | fCutsRC(0), | |
70 | fCutsMC(0), | |
71 | ||
72 | // histogram folder | |
73 | fAnalysisFolder(0) | |
74 | { | |
75 | // named constructor | |
76 | ||
77 | SetAnalysisMode(analysisMode); | |
78 | SetHptGenerator(hptGenerator); | |
79 | Init(); | |
80 | } | |
81 | ||
82 | //_____________________________________________________________________________ | |
83 | AliPerformanceDCA::~AliPerformanceDCA() | |
84 | { | |
85 | // destructor | |
86 | if(fDCAHisto) delete fDCAHisto; fDCAHisto=0; | |
87 | if(fAnalysisFolder) delete fAnalysisFolder; fAnalysisFolder=0; | |
88 | } | |
89 | ||
90 | //_____________________________________________________________________________ | |
91 | void AliPerformanceDCA::Init() | |
92 | { | |
93 | // DCA histograms | |
ef1ed531 | 94 | |
95 | // set pt bins | |
7cc34f08 | 96 | Int_t nPtBins = 50; |
ef1ed531 | 97 | Double_t ptMin = 1.e-2, ptMax = 20.; |
7cc34f08 | 98 | |
99 | Double_t *binsPt = 0; | |
ef1ed531 | 100 | |
7cc34f08 | 101 | if (IsHptGenerator()) { |
ef1ed531 | 102 | ptMax = 100.; |
103 | } | |
104 | binsPt = CreateLogAxis(nPtBins,ptMin,ptMax); | |
7cc34f08 | 105 | |
106 | /* | |
107 | Int_t nPtBins = 31; | |
108 | Double_t binsPt[32] = {0.,0.05,0.1,0.15,0.2,0.25,0.3,0.35,0.4,0.45,0.5,0.55,0.6,0.7,0.8,0.9,1.0,1.2,1.4,1.6,1.8,2.0,2.25,2.5,2.75,3.,3.5,4.,5.,6.,8.,10.}; | |
109 | Double_t ptMin = 0., ptMax = 10.; | |
110 | ||
111 | if(IsHptGenerator() == kTRUE) { | |
112 | nPtBins = 100; | |
113 | ptMin = 0.; ptMax = 100.; | |
114 | } | |
115 | */ | |
116 | ||
117 | //dca_r, dca_z, eta, pt | |
e6a60a90 | 118 | Int_t binsQA[5] = {100,100,30,nPtBins,144}; |
886bf4d3 | 119 | Double_t xminQA[5] = {-10.,-10.,-1.5,ptMin,0.}; |
120 | Double_t xmaxQA[5] = {10.,10.,1.5,ptMax,2*TMath::Pi()}; | |
7cc34f08 | 121 | |
886bf4d3 | 122 | fDCAHisto = new THnSparseF("fDCAHisto","dca_r:dca_z:eta:pt:phi",5,binsQA,xminQA,xmaxQA); |
7cc34f08 | 123 | fDCAHisto->SetBinEdges(3,binsPt); |
124 | ||
125 | fDCAHisto->GetAxis(0)->SetTitle("dca_r (cm)"); | |
126 | fDCAHisto->GetAxis(1)->SetTitle("dca_z (cm)"); | |
127 | fDCAHisto->GetAxis(2)->SetTitle("#eta"); | |
128 | fDCAHisto->GetAxis(3)->SetTitle("p_{T} (GeV/c)"); | |
886bf4d3 | 129 | fDCAHisto->GetAxis(4)->SetTitle("phi (rad)"); |
7cc34f08 | 130 | fDCAHisto->Sumw2(); |
131 | ||
132 | // init cuts | |
133 | if(!fCutsMC) | |
134 | AliDebug(AliLog::kError, "ERROR: Cannot find AliMCInfoCuts object"); | |
135 | if(!fCutsRC) | |
136 | AliDebug(AliLog::kError, "ERROR: Cannot find AliRecInfoCuts object"); | |
137 | ||
138 | // init folder | |
139 | fAnalysisFolder = CreateFolder("folderDCA","Analysis DCA Folder"); | |
140 | } | |
141 | ||
142 | //_____________________________________________________________________________ | |
758320f7 | 143 | void AliPerformanceDCA::ProcessTPC(AliStack* const stack, AliESDtrack *const esdTrack, AliESDEvent* const esdEvent) |
7cc34f08 | 144 | { |
145 | // Fill DCA comparison information | |
758320f7 | 146 | if(!esdEvent) return; |
7cc34f08 | 147 | if(!esdTrack) return; |
148 | ||
758320f7 | 149 | if( IsUseTrackVertex() ) |
150 | { | |
151 | // Relate TPC inner params to prim. vertex | |
152 | const AliESDVertex *vtxESD = esdEvent->GetPrimaryVertexTracks(); | |
153 | Double_t x[3]; esdTrack->GetXYZ(x); | |
154 | Double_t b[3]; AliTracker::GetBxByBz(x,b); | |
155 | Bool_t isOK = esdTrack->RelateToVertexTPCBxByBz(vtxESD, b, kVeryBig); | |
156 | if(!isOK) return; | |
157 | ||
158 | /* | |
159 | // JMT -- recaluclate DCA for HLT if not present | |
160 | if ( dca[0] == 0. && dca[1] == 0. ) { | |
161 | track->GetDZ( vtxESD->GetX(), vtxESD->GetY(), vtxESD->GetZ(), esdEvent->GetMagneticField(), dca ); | |
162 | } | |
163 | */ | |
164 | } | |
165 | ||
166 | // get TPC inner params at DCA to prim. vertex | |
7cc34f08 | 167 | const AliExternalTrackParam *track = esdTrack->GetTPCInnerParam(); |
168 | if(!track) return; | |
169 | ||
758320f7 | 170 | // read from ESD track |
7cc34f08 | 171 | Float_t dca[2], cov[3]; // dca_xy, dca_z, sigma_xy, sigma_xy_z, sigma_z |
172 | esdTrack->GetImpactParametersTPC(dca,cov); | |
173 | ||
174 | if (esdTrack->GetTPCNcls()<fCutsRC->GetMinNClustersTPC()) return; // min. nb. TPC clusters | |
175 | ||
886bf4d3 | 176 | Double_t vDCAHisto[5]={dca[0],dca[1],track->Eta(),track->Pt(),track->Phi()}; |
7cc34f08 | 177 | fDCAHisto->Fill(vDCAHisto); |
178 | ||
179 | // | |
180 | // Fill rec vs MC information | |
181 | // | |
182 | if(!stack) return; | |
183 | ||
758320f7 | 184 | } |
7cc34f08 | 185 | |
186 | //_____________________________________________________________________________ | |
758320f7 | 187 | void AliPerformanceDCA::ProcessTPCITS(AliStack* const stack, AliESDtrack *const esdTrack, AliESDEvent* const esdEvent) |
7cc34f08 | 188 | { |
189 | // Fill DCA comparison information | |
190 | if(!esdTrack) return; | |
758320f7 | 191 | if(!esdEvent) return; |
192 | ||
193 | if( IsUseTrackVertex() ) | |
194 | { | |
195 | // Relate TPC inner params to prim. vertex | |
196 | const AliESDVertex *vtxESD = esdEvent->GetPrimaryVertexTracks(); | |
197 | Double_t x[3]; esdTrack->GetXYZ(x); | |
198 | Double_t b[3]; AliTracker::GetBxByBz(x,b); | |
199 | Bool_t isOK = esdTrack->RelateToVertexBxByBz(vtxESD, b, kVeryBig); | |
200 | if(!isOK) return; | |
201 | ||
202 | /* | |
203 | // JMT -- recaluclate DCA for HLT if not present | |
204 | if ( dca[0] == 0. && dca[1] == 0. ) { | |
205 | track->GetDZ( vtxESD->GetX(), vtxESD->GetY(), vtxESD->GetZ(), esdEvent->GetMagneticField(), dca ); | |
206 | } | |
207 | */ | |
208 | } | |
7cc34f08 | 209 | |
210 | Float_t dca[2], cov[3]; // dca_xy, dca_z, sigma_xy, sigma_xy_z, sigma_z | |
211 | esdTrack->GetImpactParameters(dca,cov); | |
212 | ||
213 | if ((esdTrack->GetStatus()&AliESDtrack::kTPCrefit)==0) return; // TPC refit | |
214 | if (esdTrack->GetTPCNcls()<fCutsRC->GetMinNClustersTPC()) return; // min. nb. TPC clusters | |
faa3b211 | 215 | if(esdTrack->GetITSclusters(0)<fCutsRC->GetMinNClustersITS()) return; // min. nb. ITS clusters |
7cc34f08 | 216 | |
886bf4d3 | 217 | Double_t vDCAHisto[5]={dca[0],dca[1],esdTrack->Eta(),esdTrack->Pt(), esdTrack->Phi()}; |
7cc34f08 | 218 | fDCAHisto->Fill(vDCAHisto); |
219 | ||
220 | // | |
221 | // Fill rec vs MC information | |
222 | // | |
223 | if(!stack) return; | |
224 | ||
225 | } | |
226 | ||
227 | void AliPerformanceDCA::ProcessConstrained(AliStack* const /*stack*/, AliESDtrack *const /*esdTrack*/) | |
228 | { | |
229 | // Fill DCA comparison information | |
230 | ||
231 | AliDebug(AliLog::kWarning, "Warning: Not implemented"); | |
232 | } | |
233 | ||
234 | //_____________________________________________________________________________ | |
235 | Long64_t AliPerformanceDCA::Merge(TCollection* const list) | |
236 | { | |
237 | // Merge list of objects (needed by PROOF) | |
238 | ||
239 | if (!list) | |
240 | return 0; | |
241 | ||
242 | if (list->IsEmpty()) | |
243 | return 1; | |
244 | ||
245 | TIterator* iter = list->MakeIterator(); | |
246 | TObject* obj = 0; | |
247 | ||
248 | // collection of generated histograms | |
249 | Int_t count=0; | |
250 | while((obj = iter->Next()) != 0) | |
251 | { | |
252 | AliPerformanceDCA* entry = dynamic_cast<AliPerformanceDCA*>(obj); | |
253 | if (entry == 0) continue; | |
254 | ||
255 | fDCAHisto->Add(entry->fDCAHisto); | |
256 | count++; | |
257 | } | |
258 | ||
259 | return count; | |
260 | } | |
261 | ||
262 | //_____________________________________________________________________________ | |
263 | void AliPerformanceDCA::Exec(AliMCEvent* const mcEvent, AliESDEvent *const esdEvent, AliESDfriend *const esdFriend, const Bool_t bUseMC, const Bool_t bUseESDfriend) | |
264 | { | |
265 | // Process comparison information | |
266 | // | |
267 | if(!esdEvent) | |
268 | { | |
269 | Error("Exec","esdEvent not available"); | |
270 | return; | |
271 | } | |
272 | AliHeader* header = 0; | |
273 | AliGenEventHeader* genHeader = 0; | |
274 | AliStack* stack = 0; | |
275 | TArrayF vtxMC(3); | |
276 | ||
277 | if(bUseMC) | |
278 | { | |
279 | if(!mcEvent) { | |
280 | Error("Exec","mcEvent not available"); | |
281 | return; | |
282 | } | |
283 | // get MC event header | |
284 | header = mcEvent->Header(); | |
285 | if (!header) { | |
286 | Error("Exec","Header not available"); | |
287 | return; | |
288 | } | |
289 | // MC particle stack | |
290 | stack = mcEvent->Stack(); | |
291 | if (!stack) { | |
292 | Error("Exec","Stack not available"); | |
293 | return; | |
294 | } | |
295 | // get MC vertex | |
296 | genHeader = header->GenEventHeader(); | |
297 | if (!genHeader) { | |
298 | Error("Exec","Could not retrieve genHeader from Header"); | |
299 | return; | |
300 | } | |
301 | genHeader->PrimaryVertex(vtxMC); | |
302 | } | |
303 | ||
304 | // use ESD friends | |
305 | if(bUseESDfriend) { | |
306 | if(!esdFriend) { | |
307 | Error("Exec","esdFriend not available"); | |
308 | return; | |
309 | } | |
310 | } | |
311 | ||
e6a60a90 | 312 | // trigger |
046b4280 | 313 | if(!bUseMC &&GetTriggerClass()) { |
4bb5f8a9 | 314 | Bool_t isEventTriggered = esdEvent->IsTriggerClassFired(GetTriggerClass()); |
315 | if(!isEventTriggered) return; | |
316 | } | |
e6a60a90 | 317 | |
758320f7 | 318 | // get event vertex |
319 | const AliESDVertex *vtxESD = NULL; | |
320 | if( IsUseTrackVertex() ) | |
321 | { | |
322 | // track vertex | |
323 | vtxESD = esdEvent->GetPrimaryVertexTracks(); | |
324 | } | |
325 | else { | |
326 | // TPC track vertex | |
327 | vtxESD = esdEvent->GetPrimaryVertexTPC(); | |
328 | } | |
e6a60a90 | 329 | if(vtxESD && (vtxESD->GetStatus()<=0)) return; |
330 | ||
7cc34f08 | 331 | // Process events |
332 | for (Int_t iTrack = 0; iTrack < esdEvent->GetNumberOfTracks(); iTrack++) | |
333 | { | |
334 | AliESDtrack *track = esdEvent->GetTrack(iTrack); | |
335 | if(!track) continue; | |
336 | ||
758320f7 | 337 | if(GetAnalysisMode() == 0) ProcessTPC(stack,track,esdEvent); |
338 | else if(GetAnalysisMode() == 1) ProcessTPCITS(stack,track,esdEvent); | |
7cc34f08 | 339 | else if(GetAnalysisMode() == 2) ProcessConstrained(stack,track); |
340 | else { | |
341 | printf("ERROR: AnalysisMode %d \n",fAnalysisMode); | |
342 | return; | |
343 | } | |
344 | } | |
345 | } | |
346 | ||
347 | //_____________________________________________________________________________ | |
348 | void AliPerformanceDCA::Analyse() | |
349 | { | |
350 | // | |
351 | // Analyse comparison information and store output histograms | |
352 | // in the analysis folder "folderDCA" | |
353 | // | |
354 | ||
355 | TH1::AddDirectory(kFALSE); | |
4bb5f8a9 | 356 | TH1F *h1D=0; |
357 | TH2F *h2D=0; | |
7cc34f08 | 358 | TObjArray *aFolderObj = new TObjArray; |
18e588e9 | 359 | if(!aFolderObj) return; |
7cc34f08 | 360 | char title[256]; |
4bb5f8a9 | 361 | TObjArray *arr[6] = {0}; |
362 | TF1 *f1[6] = {0}; | |
7cc34f08 | 363 | |
18e588e9 | 364 | |
365 | ||
7cc34f08 | 366 | // set pt measurable range |
a13f4653 | 367 | //fDCAHisto->GetAxis(3)->SetRangeUser(0.10,10.); |
7cc34f08 | 368 | |
369 | // | |
4bb5f8a9 | 370 | h2D = (TH2F*)fDCAHisto->Projection(0,1); // inverse projection convention |
7cc34f08 | 371 | h2D->SetName("dca_r_vs_dca_z"); |
372 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle()); | |
373 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(0)->GetTitle()); | |
18e588e9 | 374 | snprintf(title,256,"%s vs %s",fDCAHisto->GetAxis(0)->GetTitle(),fDCAHisto->GetAxis(1)->GetTitle()); |
7cc34f08 | 375 | h2D->SetTitle(title); |
376 | aFolderObj->Add(h2D); | |
377 | ||
378 | // | |
4bb5f8a9 | 379 | h2D = (TH2F*)fDCAHisto->Projection(0,2); |
7cc34f08 | 380 | h2D->SetName("dca_r_vs_eta"); |
381 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
382 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(0)->GetTitle()); | |
18e588e9 | 383 | snprintf(title,256,"%s vs %s",fDCAHisto->GetAxis(2)->GetTitle(),fDCAHisto->GetAxis(0)->GetTitle()); |
7cc34f08 | 384 | h2D->SetTitle(title); |
385 | aFolderObj->Add(h2D); | |
386 | ||
4bb5f8a9 | 387 | // |
388 | // mean and rms | |
389 | // | |
7cc34f08 | 390 | h1D = MakeStat1D(h2D,0,0); |
391 | h1D->SetName("mean_dca_r_vs_eta"); | |
392 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
393 | h1D->GetYaxis()->SetTitle("mean_dca_r (cm)"); | |
18e588e9 | 394 | snprintf(title,256," mean_dca_r (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle()); |
7cc34f08 | 395 | h1D->SetTitle(title); |
396 | aFolderObj->Add(h1D); | |
397 | ||
398 | h1D = MakeStat1D(h2D,0,1); | |
399 | h1D->SetName("rms_dca_r_vs_eta"); | |
400 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
401 | h1D->GetYaxis()->SetTitle("rms_dca_r (cm)"); | |
18e588e9 | 402 | snprintf(title,256," rms_dca_r (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle()); |
7cc34f08 | 403 | h1D->SetTitle(title); |
404 | aFolderObj->Add(h1D); | |
405 | ||
406 | // | |
4bb5f8a9 | 407 | // fit mean and sigma |
408 | // | |
409 | ||
410 | arr[0] = new TObjArray(); | |
411 | f1[0] = new TF1("gaus","gaus"); | |
412 | h2D->FitSlicesY(f1[0],0,-1,0,"QNR",arr[0]); | |
413 | ||
414 | h1D = (TH1F*)arr[0]->At(1); | |
415 | h1D->SetName("fit_mean_dca_r_vs_eta"); | |
416 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
417 | h1D->GetYaxis()->SetTitle("fit_mean_dca_r (cm)"); | |
18e588e9 | 418 | snprintf(title,256," fit_mean_dca_r (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle()); |
4bb5f8a9 | 419 | h1D->SetTitle(title); |
420 | aFolderObj->Add(h1D); | |
421 | ||
422 | h1D = (TH1F*)arr[0]->At(2); | |
423 | h1D->SetName("res_dca_r_vs_eta"); | |
424 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
425 | h1D->GetYaxis()->SetTitle("res_dca_r (cm)"); | |
18e588e9 | 426 | snprintf(title,256," res_dca_r (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle()); |
4bb5f8a9 | 427 | h1D->SetTitle(title); |
428 | aFolderObj->Add(h1D); | |
429 | ||
430 | // | |
431 | // | |
432 | // | |
433 | h2D = (TH2F*)fDCAHisto->Projection(0,3); | |
7cc34f08 | 434 | h2D->SetName("dca_r_vs_pt"); |
435 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
436 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(0)->GetTitle()); | |
18e588e9 | 437 | snprintf(title,256,"%s vs %s",fDCAHisto->GetAxis(0)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle()); |
7cc34f08 | 438 | h2D->SetTitle(title); |
439 | h2D->SetBit(TH1::kLogX); | |
440 | aFolderObj->Add(h2D); | |
441 | ||
442 | h1D = MakeStat1D(h2D,0,0); | |
443 | h1D->SetName("mean_dca_r_vs_pt"); | |
444 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
445 | h1D->GetYaxis()->SetTitle("mean_dca_r (cm)"); | |
18e588e9 | 446 | snprintf(title,256,"mean_dca_r (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle()); |
7cc34f08 | 447 | h1D->SetTitle(title); |
448 | h1D->SetBit(TH1::kLogX); | |
449 | aFolderObj->Add(h1D); | |
450 | ||
451 | h1D = MakeStat1D(h2D,0,1); | |
452 | h1D->SetName("rms_dca_r_vs_pt"); | |
453 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
454 | h1D->GetYaxis()->SetTitle("rms_dca_r (cm)"); | |
18e588e9 | 455 | snprintf(title,256,"rms_dca_r (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle()); |
7cc34f08 | 456 | h1D->SetTitle(title); |
457 | h1D->SetBit(TH1::kLogX); | |
458 | aFolderObj->Add(h1D); | |
459 | ||
4bb5f8a9 | 460 | // |
461 | // fit mean and sigma | |
462 | // | |
463 | ||
464 | arr[1] = new TObjArray(); | |
465 | f1[1] = new TF1("gaus","gaus"); | |
466 | h2D->FitSlicesY(f1[1],0,-1,0,"QNR",arr[1]); | |
467 | ||
468 | h1D = (TH1F*)arr[1]->At(1); | |
469 | h1D->SetName("fit_mean_dca_r_vs_pt"); | |
470 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
471 | h1D->GetYaxis()->SetTitle("fit_mean_dca_r (cm)"); | |
18e588e9 | 472 | snprintf(title,256,"fit_mean_dca_r (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle()); |
4bb5f8a9 | 473 | h1D->SetTitle(title); |
474 | h1D->SetBit(TH1::kLogX); | |
475 | aFolderObj->Add(h1D); | |
476 | ||
477 | h1D = (TH1F*)arr[1]->At(2); | |
478 | h1D->SetName("res_dca_r_vs_pt"); | |
479 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
480 | h1D->GetYaxis()->SetTitle("res_dca_r (cm)"); | |
18e588e9 | 481 | snprintf(title,256,"res_dca_r (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle()); |
4bb5f8a9 | 482 | h1D->SetTitle(title); |
483 | h1D->SetBit(TH1::kLogX); | |
484 | aFolderObj->Add(h1D); | |
485 | ||
7cc34f08 | 486 | // |
4bb5f8a9 | 487 | h2D = (TH2F*)fDCAHisto->Projection(1,2); |
7cc34f08 | 488 | h2D->SetName("dca_z_vs_eta"); |
489 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
490 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle()); | |
18e588e9 | 491 | snprintf(title,256,"%s vs %s",fDCAHisto->GetAxis(1)->GetTitle(),fDCAHisto->GetAxis(2)->GetTitle()); |
7cc34f08 | 492 | h2D->SetTitle(title); |
493 | aFolderObj->Add(h2D); | |
494 | ||
495 | h1D = MakeStat1D(h2D,0,0); | |
496 | h1D->SetName("mean_dca_z_vs_eta"); | |
497 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
498 | h1D->GetYaxis()->SetTitle("mean_dca_z (cm)"); | |
18e588e9 | 499 | snprintf(title,256,"mean_dca_z (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle()); |
7cc34f08 | 500 | h1D->SetTitle(title); |
501 | aFolderObj->Add(h1D); | |
502 | ||
503 | h1D = MakeStat1D(h2D,0,1); | |
504 | h1D->SetName("rms_dca_z_vs_eta"); | |
505 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
506 | h1D->GetYaxis()->SetTitle("rms_dca_z (cm)"); | |
18e588e9 | 507 | snprintf(title,256,"rms_dca_z (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle()); |
7cc34f08 | 508 | h1D->SetTitle(title); |
509 | aFolderObj->Add(h1D); | |
510 | ||
511 | // | |
4bb5f8a9 | 512 | // fit mean and sigma |
513 | // | |
514 | arr[2] = new TObjArray(); | |
515 | f1[2] = new TF1("gaus","gaus"); | |
516 | h2D->FitSlicesY(f1[2],0,-1,0,"QNR",arr[2]); | |
517 | ||
518 | h1D = (TH1F*)arr[2]->At(1); | |
519 | h1D->SetName("fit_mean_dca_z_vs_eta"); | |
520 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
521 | h1D->GetYaxis()->SetTitle("fit_mean_dca_z (cm)"); | |
18e588e9 | 522 | snprintf(title,256,"fit_mean_dca_z (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle()); |
4bb5f8a9 | 523 | h1D->SetTitle(title); |
524 | aFolderObj->Add(h1D); | |
525 | ||
526 | h1D = (TH1F*)arr[2]->At(2); | |
527 | h1D->SetName("res_dca_z_vs_eta"); | |
528 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
529 | h1D->GetYaxis()->SetTitle("res_dca_z (cm)"); | |
18e588e9 | 530 | snprintf(title,256,"res_dca_z (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle()); |
4bb5f8a9 | 531 | h1D->SetTitle(title); |
532 | aFolderObj->Add(h1D); | |
533 | ||
534 | // | |
535 | h2D = (TH2F*)fDCAHisto->Projection(1,3); | |
7cc34f08 | 536 | h2D->SetName("dca_z_vs_pt"); |
537 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
538 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle()); | |
18e588e9 | 539 | snprintf(title,256,"%s vs %s",fDCAHisto->GetAxis(1)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle()); |
7cc34f08 | 540 | h2D->SetTitle(title); |
541 | h2D->SetBit(TH1::kLogX); | |
542 | aFolderObj->Add(h2D); | |
543 | ||
544 | h1D = MakeStat1D(h2D,0,0); | |
545 | h1D->SetName("mean_dca_z_vs_pt"); | |
546 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
547 | h1D->GetYaxis()->SetTitle("mean_dca_z (cm)"); | |
18e588e9 | 548 | snprintf(title,256,"mean_dca_z (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle()); |
7cc34f08 | 549 | h1D->SetTitle(title); |
550 | h1D->SetBit(TH1::kLogX); | |
551 | aFolderObj->Add(h1D); | |
552 | ||
553 | h1D = MakeStat1D(h2D,0,1); | |
554 | h1D->SetName("rms_dca_z_vs_pt"); | |
555 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
556 | h1D->GetYaxis()->SetTitle("rms_dca_z (cm)"); | |
18e588e9 | 557 | snprintf(title,256,"rms_dca_z (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle()); |
7cc34f08 | 558 | h1D->SetTitle(title); |
559 | h1D->SetBit(TH1::kLogX); | |
560 | aFolderObj->Add(h1D); | |
561 | ||
4bb5f8a9 | 562 | // |
563 | // fit mean and sigma | |
564 | // | |
565 | ||
566 | arr[3] = new TObjArray(); | |
567 | f1[3] = new TF1("gaus","gaus"); | |
568 | h2D->FitSlicesY(f1[3],0,-1,0,"QNR",arr[3]); | |
569 | ||
570 | h1D = (TH1F*)arr[3]->At(1); | |
571 | h1D->SetName("fit_mean_dca_z_vs_pt"); | |
572 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
573 | h1D->GetYaxis()->SetTitle("fit_mean_dca_z (cm)"); | |
18e588e9 | 574 | snprintf(title,256,"fit_mean_dca_z (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle()); |
4bb5f8a9 | 575 | h1D->SetTitle(title); |
576 | h1D->SetBit(TH1::kLogX); | |
577 | aFolderObj->Add(h1D); | |
578 | ||
579 | h1D = (TH1F*)arr[3]->At(2); | |
580 | h1D->SetName("res_dca_z_vs_pt"); | |
581 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
582 | h1D->GetYaxis()->SetTitle("res_dca_z (cm)"); | |
18e588e9 | 583 | snprintf(title,256,"res_dca_z (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle()); |
4bb5f8a9 | 584 | h1D->SetTitle(title); |
585 | h1D->SetBit(TH1::kLogX); | |
586 | aFolderObj->Add(h1D); | |
587 | ||
886bf4d3 | 588 | // A - side |
589 | fDCAHisto->GetAxis(2)->SetRangeUser(-1.5,0.0); | |
7cc34f08 | 590 | |
4bb5f8a9 | 591 | h2D = (TH2F*)fDCAHisto->Projection(1,4); |
592 | h2D->SetName("dca_z_vs_phi_Aside"); | |
886bf4d3 | 593 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle()); |
594 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle()); | |
18e588e9 | 595 | snprintf(title,256,"%s vs %s (A-side)",fDCAHisto->GetAxis(1)->GetTitle(),fDCAHisto->GetAxis(4)->GetTitle()); |
7cc34f08 | 596 | h2D->SetTitle(title); |
597 | aFolderObj->Add(h2D); | |
598 | ||
886bf4d3 | 599 | h1D = MakeStat1D(h2D,0,0); |
4bb5f8a9 | 600 | h1D->SetName("mean_dca_z_vs_phi_Aside"); |
886bf4d3 | 601 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle()); |
602 | h1D->GetYaxis()->SetTitle("mean_dca_z (cm)"); | |
18e588e9 | 603 | snprintf(title,256,"mean_dca_z (cm) vs %s (A-side)",fDCAHisto->GetAxis(4)->GetTitle()); |
886bf4d3 | 604 | h1D->SetTitle(title); |
605 | aFolderObj->Add(h1D); | |
7cc34f08 | 606 | |
886bf4d3 | 607 | h1D = MakeStat1D(h2D,0,1); |
4bb5f8a9 | 608 | h1D->SetName("rms_dca_z_vs_phi_Aside"); |
886bf4d3 | 609 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle()); |
610 | h1D->GetYaxis()->SetTitle("rms_dca_z (cm)"); | |
18e588e9 | 611 | snprintf(title,256,"rms_dca_z (cm) vs %s (A-side)",fDCAHisto->GetAxis(4)->GetTitle()); |
886bf4d3 | 612 | h1D->SetTitle(title); |
613 | aFolderObj->Add(h1D); | |
614 | ||
4bb5f8a9 | 615 | // |
616 | // fit mean and sigma | |
617 | // | |
618 | arr[4] = new TObjArray(); | |
619 | f1[4] = new TF1("gaus","gaus"); | |
620 | h2D->FitSlicesY(f1[4],0,-1,0,"QNR",arr[4]); | |
621 | ||
622 | h1D = (TH1F*)arr[4]->At(1); | |
623 | h1D->SetName("fit_mean_dca_z_vs_phi_Aside"); | |
624 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle()); | |
625 | h1D->GetYaxis()->SetTitle("fit_mean_dca_z (cm)"); | |
18e588e9 | 626 | snprintf(title,256,"fit_mean_dca_z (cm) vs %s (A-side)",fDCAHisto->GetAxis(4)->GetTitle()); |
4bb5f8a9 | 627 | h1D->SetTitle(title); |
628 | aFolderObj->Add(h1D); | |
629 | ||
630 | h1D = (TH1F*)arr[4]->At(2); | |
631 | h1D->SetName("res_dca_z_vs_phi_Aside"); | |
632 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle()); | |
633 | h1D->GetYaxis()->SetTitle("res_dca_z (cm)"); | |
18e588e9 | 634 | snprintf(title,256,"res_dca_z (cm) vs %s (A-side)",fDCAHisto->GetAxis(4)->GetTitle()); |
4bb5f8a9 | 635 | h1D->SetTitle(title); |
636 | aFolderObj->Add(h1D); | |
637 | ||
638 | ||
886bf4d3 | 639 | // C - side |
640 | fDCAHisto->GetAxis(2)->SetRangeUser(0.0,1.5); | |
7cc34f08 | 641 | |
4bb5f8a9 | 642 | h2D = (TH2F*)fDCAHisto->Projection(1,4); |
643 | h2D->SetName("dca_z_vs_phi_Cside"); | |
886bf4d3 | 644 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle()); |
645 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle()); | |
18e588e9 | 646 | snprintf(title,256,"%s vs %s (C-side)",fDCAHisto->GetAxis(1)->GetTitle(),fDCAHisto->GetAxis(4)->GetTitle()); |
7cc34f08 | 647 | h2D->SetTitle(title); |
648 | aFolderObj->Add(h2D); | |
649 | ||
886bf4d3 | 650 | h1D = MakeStat1D(h2D,0,0); |
4bb5f8a9 | 651 | h1D->SetName("mean_dca_z_vs_phi_Cside"); |
886bf4d3 | 652 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle()); |
653 | h1D->GetYaxis()->SetTitle("mean_dca_z (cm)"); | |
18e588e9 | 654 | snprintf(title,256,"mean_dca_z (cm) vs %s (C-side)",fDCAHisto->GetAxis(4)->GetTitle()); |
886bf4d3 | 655 | h1D->SetTitle(title); |
656 | aFolderObj->Add(h1D); | |
657 | ||
658 | h1D = MakeStat1D(h2D,0,1); | |
4bb5f8a9 | 659 | h1D->SetName("rms_dca_z_vs_phi_Cside"); |
886bf4d3 | 660 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle()); |
661 | h1D->GetYaxis()->SetTitle("rms_dca_z (cm)"); | |
18e588e9 | 662 | snprintf(title,256,"rms_dca_z (cm) vs %s (C-side)",fDCAHisto->GetAxis(4)->GetTitle()); |
886bf4d3 | 663 | h1D->SetTitle(title); |
664 | aFolderObj->Add(h1D); | |
886bf4d3 | 665 | |
4bb5f8a9 | 666 | // |
667 | // fit mean and sigma | |
668 | // | |
669 | arr[5] = new TObjArray(); | |
670 | f1[5] = new TF1("gaus","gaus"); | |
671 | h2D->FitSlicesY(f1[5],0,-1,0,"QNR",arr[5]); | |
672 | ||
673 | h1D = (TH1F*)arr[5]->At(1); | |
674 | h1D->SetName("fit_mean_dca_z_vs_phi_Cside"); | |
675 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle()); | |
676 | h1D->GetYaxis()->SetTitle("fit_mean_dca_z (cm)"); | |
18e588e9 | 677 | snprintf(title,256,"fit_mean_dca_z (cm) vs %s (C-side)",fDCAHisto->GetAxis(4)->GetTitle()); |
4bb5f8a9 | 678 | h1D->SetTitle(title); |
679 | aFolderObj->Add(h1D); | |
7cc34f08 | 680 | |
4bb5f8a9 | 681 | h1D = (TH1F*)arr[5]->At(2); |
682 | h1D->SetName("res_dca_z_vs_phi_Cside"); | |
683 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle()); | |
684 | h1D->GetYaxis()->SetTitle("res_dca_z (cm)"); | |
18e588e9 | 685 | snprintf(title,256,"res_dca_z (cm) vs %s (C-side)",fDCAHisto->GetAxis(4)->GetTitle()); |
4bb5f8a9 | 686 | h1D->SetTitle(title); |
687 | aFolderObj->Add(h1D); | |
688 | ||
7cc34f08 | 689 | // export objects to analysis folder |
690 | fAnalysisFolder = ExportToFolder(aFolderObj); | |
691 | ||
692 | // delete only TObjArray | |
693 | if(aFolderObj) delete aFolderObj; | |
694 | } | |
695 | ||
696 | //_____________________________________________________________________________ | |
697 | TH1F* AliPerformanceDCA::MakeStat1D(TH2 *hist, Int_t delta0, Int_t type) | |
698 | { | |
699 | // Return TH1F histogram | |
700 | // delta - number of bins to integrate | |
701 | // with mean (type == 0) or RMS (type==1) | |
702 | ||
703 | char hname[256]; | |
704 | const char* suffix = "_stat1d"; | |
18e588e9 | 705 | snprintf(hname,256,"%s%s",hist->GetName(),suffix); |
7cc34f08 | 706 | TAxis* xaxis = hist->GetXaxis(); |
707 | Int_t nbinx = xaxis->GetNbins(); | |
708 | ||
709 | TH1F *hnew = (TH1F*)hist->ProjectionX()->Clone(); | |
710 | hnew->SetName(hname); | |
711 | ||
712 | char name[256]; | |
713 | for (Int_t ix=0; ix<=nbinx;ix++) { | |
18e588e9 | 714 | snprintf(name,256,"%s_%d",hist->GetName(),ix); |
7cc34f08 | 715 | TH1 *projection = hist->ProjectionY(name,ix-delta0,ix+delta0); |
716 | ||
717 | Float_t stat= 0., stat_err =0.; | |
718 | if (type==0) { stat = projection->GetMean(); stat_err = projection->GetMeanError(); } | |
719 | if (type==1) { stat = projection->GetRMS(); stat_err = projection->GetRMSError(); } | |
720 | ||
721 | hnew->SetBinContent(ix, stat); | |
722 | hnew->SetBinError(ix, stat_err); | |
723 | } | |
724 | ||
725 | return hnew; | |
726 | } | |
727 | ||
728 | //_____________________________________________________________________________ | |
729 | TH2F* AliPerformanceDCA::MakeStat2D(TH3 *hist, Int_t delta0, Int_t delta1, Int_t type) | |
730 | { | |
731 | // Return TH1F histogram | |
732 | // delta0 - number of bins to integrate in x | |
733 | // delta1 - number of bins to integrate in y | |
734 | // with mean (type==0) or RMS (type==1) | |
735 | ||
736 | char hname[256]; | |
737 | const char* suffix = "_stat2d"; | |
18e588e9 | 738 | snprintf(hname,256,"%s%s",hist->GetName(),suffix); |
7cc34f08 | 739 | |
740 | TAxis* xaxis = hist->GetXaxis(); | |
741 | Int_t nbinx = xaxis->GetNbins(); | |
742 | ||
743 | TH2F *hnew = (TH2F*)hist->Project3D("yx")->Clone(); | |
744 | hnew->SetName(hname); | |
745 | ||
746 | TAxis* yaxis = hist->GetYaxis(); | |
747 | Int_t nbiny = yaxis->GetNbins(); | |
748 | ||
749 | char name[256]; | |
750 | for (Int_t ix=0; ix<=nbinx;ix++) { | |
751 | for (Int_t iy=0; iy<=nbiny;iy++) { | |
18e588e9 | 752 | snprintf(name,256,"%s_%d_%d",hist->GetName(),ix,iy); |
7cc34f08 | 753 | TH1 *projection = hist->ProjectionZ(name,ix-delta0,ix+delta0,iy-delta1,iy+delta1); |
754 | ||
755 | Float_t stat= 0., stat_err =0.; | |
756 | if (type==0) { stat = projection->GetMean(); stat_err = projection->GetMeanError(); } | |
757 | if (type==1) { stat = projection->GetRMS(); stat_err = projection->GetRMSError(); } | |
758 | ||
759 | hnew->SetBinContent(ix,iy,stat); | |
760 | hnew->SetBinError(ix,iy,stat_err); | |
761 | } | |
762 | } | |
763 | ||
764 | return hnew; | |
765 | } | |
766 | ||
767 | //_____________________________________________________________________________ | |
768 | TFolder* AliPerformanceDCA::ExportToFolder(TObjArray * array) | |
769 | { | |
770 | // recreate folder avery time and export objects to new one | |
771 | // | |
772 | AliPerformanceDCA * comp=this; | |
773 | TFolder *folder = comp->GetAnalysisFolder(); | |
774 | ||
775 | TString name, title; | |
776 | TFolder *newFolder = 0; | |
777 | Int_t i = 0; | |
778 | Int_t size = array->GetSize(); | |
779 | ||
780 | if(folder) { | |
781 | // get name and title from old folder | |
782 | name = folder->GetName(); | |
783 | title = folder->GetTitle(); | |
784 | ||
785 | // delete old one | |
786 | delete folder; | |
787 | ||
788 | // create new one | |
789 | newFolder = CreateFolder(name.Data(),title.Data()); | |
790 | newFolder->SetOwner(); | |
791 | ||
792 | // add objects to folder | |
793 | while(i < size) { | |
794 | newFolder->Add(array->At(i)); | |
795 | i++; | |
796 | } | |
797 | } | |
798 | ||
799 | return newFolder; | |
800 | } | |
801 | ||
802 | //_____________________________________________________________________________ | |
803 | TFolder* AliPerformanceDCA::CreateFolder(TString name,TString title) { | |
804 | // create folder for analysed histograms | |
805 | TFolder *folder = 0; | |
806 | folder = new TFolder(name.Data(),title.Data()); | |
807 | ||
808 | return folder; | |
809 | } |