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777a0ba6 | 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 | |
16 | gROOT->LoadMacro("$ALICE_ROOT/PWG1/Macros/LoadMyLibs.C"); | |
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> | |
42 | ||
43 | #include "AliPerformanceDCA.h" | |
44 | #include "AliESDEvent.h" | |
45 | #include "AliESDVertex.h" | |
46 | #include "AliLog.h" | |
47 | #include "AliMathBase.h" | |
48 | #include "AliRecInfoCuts.h" | |
49 | #include "AliMCInfoCuts.h" | |
50 | #include "AliStack.h" | |
51 | #include "AliMCEvent.h" | |
52 | #include "AliTracker.h" | |
53 | #include "AliHeader.h" | |
54 | #include "AliGenEventHeader.h" | |
55 | ||
56 | using namespace std; | |
57 | ||
58 | ClassImp(AliPerformanceDCA) | |
59 | ||
60 | //_____________________________________________________________________________ | |
61 | AliPerformanceDCA::AliPerformanceDCA(): | |
62 | AliPerformanceObject("AliPerformanceDCA"), | |
63 | ||
64 | // DCA histograms | |
65 | fDCAHisto(0), | |
66 | ||
67 | // Cuts | |
68 | fCutsRC(0), | |
69 | fCutsMC(0), | |
70 | ||
71 | // histogram folder | |
72 | fAnalysisFolder(0) | |
73 | { | |
74 | // default constructor | |
75 | Init(); | |
76 | } | |
77 | ||
78 | //_____________________________________________________________________________ | |
79 | AliPerformanceDCA::AliPerformanceDCA(Char_t* name="AliPerformanceDCA", Char_t* title="AliPerformanceDCA",Int_t analysisMode=0, Bool_t hptGenerator=kFALSE): | |
80 | AliPerformanceObject(name,title), | |
81 | ||
82 | // DCA histograms | |
83 | fDCAHisto(0), | |
84 | ||
85 | // Cuts | |
86 | fCutsRC(0), | |
87 | fCutsMC(0), | |
88 | ||
89 | // histogram folder | |
90 | fAnalysisFolder(0) | |
91 | { | |
92 | // named constructor | |
93 | ||
94 | SetAnalysisMode(analysisMode); | |
95 | SetHptGenerator(hptGenerator); | |
96 | Init(); | |
97 | } | |
98 | ||
99 | //_____________________________________________________________________________ | |
100 | AliPerformanceDCA::~AliPerformanceDCA() | |
101 | { | |
102 | // destructor | |
103 | if(fDCAHisto) delete fDCAHisto; fDCAHisto=0; | |
104 | if(fAnalysisFolder) delete fAnalysisFolder; fAnalysisFolder=0; | |
105 | } | |
106 | ||
107 | //_____________________________________________________________________________ | |
108 | void AliPerformanceDCA::Init() | |
109 | { | |
110 | // DCA histograms | |
111 | Int_t nPtBins = 50; | |
112 | Double_t ptMin = 1.e-2, ptMax = 10.; | |
113 | ||
114 | Double_t *binsPt = 0; | |
115 | if (IsHptGenerator()) { | |
116 | nPtBins = 100; ptMax = 100.; | |
117 | binsPt = CreateLogAxis(nPtBins,ptMin,ptMax); | |
118 | } else { | |
119 | binsPt = CreateLogAxis(nPtBins,ptMin,ptMax); | |
120 | } | |
121 | ||
122 | /* | |
123 | Int_t nPtBins = 31; | |
124 | 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.}; | |
125 | Double_t ptMin = 0., ptMax = 10.; | |
126 | ||
127 | if(IsHptGenerator() == kTRUE) { | |
128 | nPtBins = 100; | |
129 | ptMin = 0.; ptMax = 100.; | |
130 | } | |
131 | */ | |
132 | ||
133 | //dca_r, dca_z, eta, pt | |
134 | Int_t binsQA[4] = {100,100,30,nPtBins}; | |
135 | Double_t xminQA[4] = {-10.,-10.,-1.5,ptMin}; | |
136 | Double_t xmaxQA[4] = {10.,10.,1.5,ptMax}; | |
137 | ||
138 | fDCAHisto = new THnSparseF("fDCAHisto","dca_r:dca_z:eta:pt",4,binsQA,xminQA,xmaxQA); | |
139 | fDCAHisto->SetBinEdges(3,binsPt); | |
140 | ||
141 | fDCAHisto->GetAxis(0)->SetTitle("dca_r (cm)"); | |
142 | fDCAHisto->GetAxis(1)->SetTitle("dca_z (cm)"); | |
143 | fDCAHisto->GetAxis(2)->SetTitle("#eta"); | |
144 | fDCAHisto->GetAxis(3)->SetTitle("p_{T} (GeV/c)"); | |
145 | fDCAHisto->Sumw2(); | |
146 | ||
147 | // init cuts | |
148 | if(!fCutsMC) | |
149 | AliDebug(AliLog::kError, "ERROR: Cannot find AliMCInfoCuts object"); | |
150 | if(!fCutsRC) | |
151 | AliDebug(AliLog::kError, "ERROR: Cannot find AliRecInfoCuts object"); | |
152 | ||
153 | // init folder | |
154 | fAnalysisFolder = CreateFolder("folderDCA","Analysis DCA Folder"); | |
155 | } | |
156 | ||
157 | //_____________________________________________________________________________ | |
158 | void AliPerformanceDCA::ProcessTPC(AliStack* const stack, AliESDtrack *const esdTrack) | |
159 | { | |
160 | // Fill DCA comparison information | |
161 | if(!esdTrack) return; | |
162 | ||
163 | const AliExternalTrackParam *track = esdTrack->GetTPCInnerParam(); | |
164 | if(!track) return; | |
165 | ||
166 | Float_t dca[2], cov[3]; // dca_xy, dca_z, sigma_xy, sigma_xy_z, sigma_z | |
167 | esdTrack->GetImpactParametersTPC(dca,cov); | |
168 | ||
169 | if (esdTrack->GetTPCNcls()<fCutsRC->GetMinNClustersTPC()) return; // min. nb. TPC clusters | |
170 | ||
171 | Double_t vDCAHisto[4]={dca[0],dca[1],track->Eta(),track->Pt()}; | |
172 | fDCAHisto->Fill(vDCAHisto); | |
173 | ||
174 | // | |
175 | // Fill rec vs MC information | |
176 | // | |
177 | if(!stack) return; | |
178 | ||
179 | } | |
180 | ||
181 | //_____________________________________________________________________________ | |
182 | void AliPerformanceDCA::ProcessTPCITS(AliStack* const stack, AliESDtrack *const esdTrack) | |
183 | { | |
184 | // Fill DCA comparison information | |
185 | if(!esdTrack) return; | |
186 | ||
187 | Float_t dca[2], cov[3]; // dca_xy, dca_z, sigma_xy, sigma_xy_z, sigma_z | |
188 | esdTrack->GetImpactParameters(dca,cov); | |
189 | ||
190 | if ((esdTrack->GetStatus()&AliESDtrack::kTPCrefit)==0) return; // TPC refit | |
191 | if (esdTrack->GetTPCNcls()<fCutsRC->GetMinNClustersTPC()) return; // min. nb. TPC clusters | |
192 | Int_t clusterITS[200]; | |
193 | if(esdTrack->GetITSclusters(clusterITS)<fCutsRC->GetMinNClustersITS()) return; // min. nb. ITS clusters | |
194 | ||
195 | Double_t vDCAHisto[4]={dca[0],dca[1],esdTrack->Eta(),esdTrack->Pt()}; | |
196 | fDCAHisto->Fill(vDCAHisto); | |
197 | ||
198 | // | |
199 | // Fill rec vs MC information | |
200 | // | |
201 | if(!stack) return; | |
202 | ||
203 | } | |
204 | ||
205 | void AliPerformanceDCA::ProcessConstrained(AliStack* const /*stack*/, AliESDtrack *const /*esdTrack*/) | |
206 | { | |
207 | // Fill DCA comparison information | |
208 | ||
209 | AliDebug(AliLog::kWarning, "Warning: Not implemented"); | |
210 | } | |
211 | ||
212 | //_____________________________________________________________________________ | |
213 | Long64_t AliPerformanceDCA::Merge(TCollection* const list) | |
214 | { | |
215 | // Merge list of objects (needed by PROOF) | |
216 | ||
217 | if (!list) | |
218 | return 0; | |
219 | ||
220 | if (list->IsEmpty()) | |
221 | return 1; | |
222 | ||
223 | TIterator* iter = list->MakeIterator(); | |
224 | TObject* obj = 0; | |
225 | ||
226 | // collection of generated histograms | |
227 | Int_t count=0; | |
228 | while((obj = iter->Next()) != 0) | |
229 | { | |
230 | AliPerformanceDCA* entry = dynamic_cast<AliPerformanceDCA*>(obj); | |
231 | if (entry == 0) continue; | |
232 | ||
233 | fDCAHisto->Add(entry->fDCAHisto); | |
234 | count++; | |
235 | } | |
236 | ||
237 | return count; | |
238 | } | |
239 | ||
240 | //_____________________________________________________________________________ | |
4f96d707 | 241 | void AliPerformanceDCA::Exec(AliMCEvent* const mcEvent, AliESDEvent *const esdEvent, AliESDfriend *const esdFriend, const Bool_t bUseMC, const Bool_t bUseESDfriend) |
777a0ba6 | 242 | { |
ff0f1307 | 243 | // Process comparison information |
244 | // | |
777a0ba6 | 245 | if(!esdEvent) |
246 | { | |
ff0f1307 | 247 | Error("Exec","esdEvent not available"); |
248 | return; | |
777a0ba6 | 249 | } |
250 | AliHeader* header = 0; | |
251 | AliGenEventHeader* genHeader = 0; | |
252 | AliStack* stack = 0; | |
253 | TArrayF vtxMC(3); | |
ff0f1307 | 254 | |
777a0ba6 | 255 | if(bUseMC) |
256 | { | |
257 | if(!mcEvent) { | |
ff0f1307 | 258 | Error("Exec","mcEvent not available"); |
777a0ba6 | 259 | return; |
260 | } | |
261 | // get MC event header | |
262 | header = mcEvent->Header(); | |
263 | if (!header) { | |
ff0f1307 | 264 | Error("Exec","Header not available"); |
777a0ba6 | 265 | return; |
266 | } | |
267 | // MC particle stack | |
268 | stack = mcEvent->Stack(); | |
269 | if (!stack) { | |
ff0f1307 | 270 | Error("Exec","Stack not available"); |
777a0ba6 | 271 | return; |
272 | } | |
273 | // get MC vertex | |
274 | genHeader = header->GenEventHeader(); | |
275 | if (!genHeader) { | |
ff0f1307 | 276 | Error("Exec","Could not retrieve genHeader from Header"); |
777a0ba6 | 277 | return; |
278 | } | |
279 | genHeader->PrimaryVertex(vtxMC); | |
ff0f1307 | 280 | } |
281 | ||
4f96d707 | 282 | // use ESD friends |
283 | if(bUseESDfriend) { | |
284 | if(!esdFriend) { | |
ff0f1307 | 285 | Error("Exec","esdFriend not available"); |
4f96d707 | 286 | return; |
287 | } | |
288 | } | |
289 | ||
777a0ba6 | 290 | // Process events |
291 | for (Int_t iTrack = 0; iTrack < esdEvent->GetNumberOfTracks(); iTrack++) | |
292 | { | |
293 | AliESDtrack *track = esdEvent->GetTrack(iTrack); | |
294 | if(!track) continue; | |
295 | ||
296 | if(GetAnalysisMode() == 0) ProcessTPC(stack,track); | |
297 | else if(GetAnalysisMode() == 1) ProcessTPCITS(stack,track); | |
298 | else if(GetAnalysisMode() == 2) ProcessConstrained(stack,track); | |
299 | else { | |
300 | printf("ERROR: AnalysisMode %d \n",fAnalysisMode); | |
301 | return; | |
302 | } | |
303 | } | |
304 | } | |
305 | ||
306 | //_____________________________________________________________________________ | |
307 | void AliPerformanceDCA::Analyse() | |
308 | { | |
309 | // | |
310 | // Analyse comparison information and store output histograms | |
311 | // in the analysis folder "folderDCA" | |
312 | // | |
313 | ||
314 | TH1::AddDirectory(kFALSE); | |
315 | TH1 *h1D=0; | |
316 | TH2 *h2D=0; | |
317 | //TH3 *h3D=0; | |
318 | TObjArray *aFolderObj = new TObjArray; | |
319 | char title[256]; | |
320 | ||
321 | // set pt measurable range | |
322 | fDCAHisto->GetAxis(3)->SetRangeUser(0.10,10.); | |
323 | ||
324 | // | |
325 | h2D = fDCAHisto->Projection(0,1); // inverse projection convention | |
326 | h2D->SetName("dca_r_vs_dca_z"); | |
327 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle()); | |
328 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(0)->GetTitle()); | |
329 | sprintf(title,"%s vs %s",fDCAHisto->GetAxis(0)->GetTitle(),fDCAHisto->GetAxis(1)->GetTitle()); | |
330 | h2D->SetTitle(title); | |
331 | aFolderObj->Add(h2D); | |
332 | ||
333 | // | |
334 | h2D = fDCAHisto->Projection(0,2); | |
335 | h2D->SetName("dca_r_vs_eta"); | |
336 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
337 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(0)->GetTitle()); | |
338 | sprintf(title,"%s vs %s",fDCAHisto->GetAxis(2)->GetTitle(),fDCAHisto->GetAxis(0)->GetTitle()); | |
339 | h2D->SetTitle(title); | |
340 | aFolderObj->Add(h2D); | |
341 | ||
342 | h1D = MakeStat1D(h2D,0,0); | |
343 | h1D->SetName("mean_dca_r_vs_eta"); | |
344 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
345 | h1D->GetYaxis()->SetTitle("mean_dca_r (cm)"); | |
346 | sprintf(title," mean_dca_r (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle()); | |
347 | h1D->SetTitle(title); | |
348 | aFolderObj->Add(h1D); | |
349 | ||
350 | h1D = MakeStat1D(h2D,0,1); | |
351 | h1D->SetName("rms_dca_r_vs_eta"); | |
352 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
353 | h1D->GetYaxis()->SetTitle("rms_dca_r (cm)"); | |
354 | sprintf(title," rms_dca_r (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle()); | |
355 | h1D->SetTitle(title); | |
356 | aFolderObj->Add(h1D); | |
357 | ||
358 | // | |
359 | h2D = fDCAHisto->Projection(0,3); | |
360 | h2D->SetName("dca_r_vs_pt"); | |
361 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
362 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(0)->GetTitle()); | |
363 | sprintf(title,"%s vs %s",fDCAHisto->GetAxis(0)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle()); | |
364 | h2D->SetTitle(title); | |
365 | h2D->SetBit(TH1::kLogX); | |
366 | aFolderObj->Add(h2D); | |
367 | ||
368 | h1D = MakeStat1D(h2D,0,0); | |
369 | h1D->SetName("mean_dca_r_vs_pt"); | |
370 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
371 | h1D->GetYaxis()->SetTitle("mean_dca_r (cm)"); | |
372 | sprintf(title,"mean_dca_r (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle()); | |
373 | h1D->SetTitle(title); | |
374 | h1D->SetBit(TH1::kLogX); | |
375 | aFolderObj->Add(h1D); | |
376 | ||
377 | h1D = MakeStat1D(h2D,0,1); | |
378 | h1D->SetName("rms_dca_r_vs_pt"); | |
379 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
380 | h1D->GetYaxis()->SetTitle("rms_dca_r (cm)"); | |
381 | sprintf(title,"rms_dca_r (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle()); | |
382 | h1D->SetTitle(title); | |
383 | h1D->SetBit(TH1::kLogX); | |
384 | aFolderObj->Add(h1D); | |
385 | ||
386 | // | |
387 | h2D = fDCAHisto->Projection(1,2); | |
388 | h2D->SetName("dca_z_vs_eta"); | |
389 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
390 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle()); | |
391 | sprintf(title,"%s vs %s",fDCAHisto->GetAxis(1)->GetTitle(),fDCAHisto->GetAxis(2)->GetTitle()); | |
392 | h2D->SetTitle(title); | |
393 | aFolderObj->Add(h2D); | |
394 | ||
395 | h1D = MakeStat1D(h2D,0,0); | |
396 | h1D->SetName("mean_dca_z_vs_eta"); | |
397 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
398 | h1D->GetYaxis()->SetTitle("mean_dca_z (cm)"); | |
399 | sprintf(title,"mean_dca_z (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle()); | |
400 | h1D->SetTitle(title); | |
401 | aFolderObj->Add(h1D); | |
402 | ||
403 | h1D = MakeStat1D(h2D,0,1); | |
404 | h1D->SetName("rms_dca_z_vs_eta"); | |
405 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
406 | h1D->GetYaxis()->SetTitle("rms_dca_z (cm)"); | |
407 | sprintf(title,"rms_dca_z (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle()); | |
408 | h1D->SetTitle(title); | |
409 | aFolderObj->Add(h1D); | |
410 | ||
411 | // | |
412 | h2D = fDCAHisto->Projection(1,3); | |
413 | h2D->SetName("dca_z_vs_pt"); | |
414 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
415 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle()); | |
416 | sprintf(title,"%s vs %s",fDCAHisto->GetAxis(1)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle()); | |
417 | h2D->SetTitle(title); | |
418 | h2D->SetBit(TH1::kLogX); | |
419 | aFolderObj->Add(h2D); | |
420 | ||
421 | h1D = MakeStat1D(h2D,0,0); | |
422 | h1D->SetName("mean_dca_z_vs_pt"); | |
423 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
424 | h1D->GetYaxis()->SetTitle("mean_dca_z (cm)"); | |
425 | sprintf(title,"mean_dca_z (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle()); | |
426 | h1D->SetTitle(title); | |
427 | h1D->SetBit(TH1::kLogX); | |
428 | aFolderObj->Add(h1D); | |
429 | ||
430 | h1D = MakeStat1D(h2D,0,1); | |
431 | h1D->SetName("rms_dca_z_vs_pt"); | |
432 | h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
433 | h1D->GetYaxis()->SetTitle("rms_dca_z (cm)"); | |
434 | sprintf(title,"rms_dca_z (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle()); | |
435 | h1D->SetTitle(title); | |
436 | h1D->SetBit(TH1::kLogX); | |
437 | aFolderObj->Add(h1D); | |
438 | ||
439 | /* | |
440 | h3D = fDCAHisto->Projection(2,3,0); // normal 3D projection convention | |
441 | h3D->SetName("dca_r_vs_eta_vs_pt"); | |
442 | ||
443 | h2D = MakeStat2D(h3D,0,0,0); | |
444 | h2D->SetName("mean_dca_r_vs_eta_vs_pt"); | |
445 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
446 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
447 | h2D->GetZaxis()->SetTitle("mean_dca_r (cm)"); | |
448 | sprintf(title,"mean_dca_r (cm) vs %s vs %s",fDCAHisto->GetAxis(2)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle()); | |
449 | h2D->SetTitle(title); | |
450 | aFolderObj->Add(h2D); | |
451 | ||
452 | h2D = MakeStat2D(h3D,0,0,1); | |
453 | h2D->SetName("rms_dca_r_vs_eta_vs_pt"); | |
454 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
455 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
456 | h2D->GetZaxis()->SetTitle("rms_dca_r (cm)"); | |
457 | sprintf(title,"rms_dca_r (cm) vs %s vs %s",fDCAHisto->GetAxis(2)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle()); | |
458 | h2D->SetTitle(title); | |
459 | aFolderObj->Add(h2D); | |
460 | ||
461 | // | |
462 | h3D = fDCAHisto->Projection(2,3,1); | |
463 | h3D->SetName("dca_z_vs_eta_vs_pt"); | |
464 | ||
465 | h2D = MakeStat2D(h3D,0,0,0); | |
466 | h2D->SetName("mean_dca_z_vs_eta_vs_pt"); | |
467 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
468 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
469 | h2D->GetZaxis()->SetTitle("mean_dca_z (cm)"); | |
470 | sprintf(title,"mean_dca_z (cm) vs %s vs %s",fDCAHisto->GetAxis(2)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle()); | |
471 | h2D->SetTitle(title); | |
472 | aFolderObj->Add(h2D); | |
473 | ||
474 | h2D = MakeStat2D(h3D,0,0,1); | |
475 | h2D->SetName("rms_dca_z_vs_eta_vs_pt"); | |
476 | h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle()); | |
477 | h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle()); | |
478 | h2D->GetZaxis()->SetTitle("rms_dca_z (cm)"); | |
479 | sprintf(title,"rms_dca_z (cm) vs %s vs %s",fDCAHisto->GetAxis(2)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle()); | |
480 | h2D->SetTitle(title); | |
481 | aFolderObj->Add(h2D); | |
482 | */ | |
483 | ||
484 | ||
485 | ||
486 | ||
487 | ||
488 | ||
489 | ||
490 | // export objects to analysis folder | |
491 | fAnalysisFolder = ExportToFolder(aFolderObj); | |
492 | ||
493 | // delete only TObjArray | |
494 | if(aFolderObj) delete aFolderObj; | |
495 | } | |
496 | ||
497 | //_____________________________________________________________________________ | |
498 | TH1F* AliPerformanceDCA::MakeStat1D(TH2 *hist, Int_t delta0, Int_t type) | |
499 | { | |
500 | // Return TH1F histogram | |
501 | // delta - number of bins to integrate | |
502 | // with mean (type == 0) or RMS (type==1) | |
503 | ||
504 | char hname[256]; | |
505 | const char* suffix = "_stat1d"; | |
506 | sprintf(hname,"%s%s",hist->GetName(),suffix); | |
507 | TAxis* xaxis = hist->GetXaxis(); | |
508 | Int_t nbinx = xaxis->GetNbins(); | |
509 | ||
510 | TH1F *hnew = (TH1F*)hist->ProjectionX()->Clone(); | |
511 | hnew->SetName(hname); | |
512 | ||
513 | char name[256]; | |
514 | for (Int_t ix=0; ix<=nbinx;ix++) { | |
515 | sprintf(name,"%s_%d",hist->GetName(),ix); | |
516 | TH1 *projection = hist->ProjectionY(name,ix-delta0,ix+delta0); | |
517 | ||
518 | Float_t stat= 0., stat_err =0.; | |
519 | if (type==0) { stat = projection->GetMean(); stat_err = projection->GetMeanError(); } | |
520 | if (type==1) { stat = projection->GetRMS(); stat_err = projection->GetRMSError(); } | |
521 | ||
522 | hnew->SetBinContent(ix, stat); | |
523 | hnew->SetBinError(ix, stat_err); | |
524 | } | |
525 | ||
526 | return hnew; | |
527 | } | |
528 | ||
529 | //_____________________________________________________________________________ | |
530 | TH2F* AliPerformanceDCA::MakeStat2D(TH3 *hist, Int_t delta0, Int_t delta1, Int_t type) | |
531 | { | |
532 | // Return TH1F histogram | |
533 | // delta0 - number of bins to integrate in x | |
534 | // delta1 - number of bins to integrate in y | |
535 | // with mean (type==0) or RMS (type==1) | |
536 | ||
537 | char hname[256]; | |
538 | const char* suffix = "_stat2d"; | |
539 | sprintf(hname,"%s%s",hist->GetName(),suffix); | |
540 | ||
541 | TAxis* xaxis = hist->GetXaxis(); | |
542 | Int_t nbinx = xaxis->GetNbins(); | |
543 | ||
544 | TH2F *hnew = (TH2F*)hist->Project3D("yx")->Clone(); | |
545 | hnew->SetName(hname); | |
546 | ||
547 | TAxis* yaxis = hist->GetYaxis(); | |
548 | Int_t nbiny = yaxis->GetNbins(); | |
549 | ||
550 | char name[256]; | |
551 | for (Int_t ix=0; ix<=nbinx;ix++) { | |
552 | for (Int_t iy=0; iy<=nbiny;iy++) { | |
553 | sprintf(name,"%s_%d_%d",hist->GetName(),ix,iy); | |
554 | TH1 *projection = hist->ProjectionZ(name,ix-delta0,ix+delta0,iy-delta1,iy+delta1); | |
555 | ||
556 | Float_t stat= 0., stat_err =0.; | |
557 | if (type==0) { stat = projection->GetMean(); stat_err = projection->GetMeanError(); } | |
558 | if (type==1) { stat = projection->GetRMS(); stat_err = projection->GetRMSError(); } | |
559 | ||
560 | hnew->SetBinContent(ix,iy,stat); | |
561 | hnew->SetBinError(ix,iy,stat_err); | |
562 | } | |
563 | } | |
564 | ||
565 | return hnew; | |
566 | } | |
567 | ||
568 | //_____________________________________________________________________________ | |
569 | TFolder* AliPerformanceDCA::ExportToFolder(TObjArray * array) | |
570 | { | |
571 | // recreate folder avery time and export objects to new one | |
572 | // | |
573 | AliPerformanceDCA * comp=this; | |
574 | TFolder *folder = comp->GetAnalysisFolder(); | |
575 | ||
576 | TString name, title; | |
577 | TFolder *newFolder = 0; | |
578 | Int_t i = 0; | |
579 | Int_t size = array->GetSize(); | |
580 | ||
581 | if(folder) { | |
582 | // get name and title from old folder | |
583 | name = folder->GetName(); | |
584 | title = folder->GetTitle(); | |
585 | ||
586 | // delete old one | |
587 | delete folder; | |
588 | ||
589 | // create new one | |
590 | newFolder = CreateFolder(name.Data(),title.Data()); | |
591 | newFolder->SetOwner(); | |
592 | ||
593 | // add objects to folder | |
594 | while(i < size) { | |
595 | newFolder->Add(array->At(i)); | |
596 | i++; | |
597 | } | |
598 | } | |
599 | ||
600 | return newFolder; | |
601 | } | |
602 | ||
603 | //_____________________________________________________________________________ | |
604 | TFolder* AliPerformanceDCA::CreateFolder(TString name,TString title) { | |
605 | // create folder for analysed histograms | |
606 | TFolder *folder = 0; | |
607 | folder = new TFolder(name.Data(),title.Data()); | |
608 | ||
609 | return folder; | |
610 | } |