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adding skeleton for a generic TTree data collection component
[u/mrichter/AliRoot.git] / PWG1 / TPC / AliPerformanceDCA.cxx
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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
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>
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
57using namespace std;
58
59ClassImp(AliPerformanceDCA)
60
61//_____________________________________________________________________________
62AliPerformanceDCA::AliPerformanceDCA():
63 AliPerformanceObject("AliPerformanceDCA"),
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 // default constructor
76 Init();
77}
78
79//_____________________________________________________________________________
80AliPerformanceDCA::AliPerformanceDCA(Char_t* name="AliPerformanceDCA", Char_t* title="AliPerformanceDCA",Int_t analysisMode=0, Bool_t hptGenerator=kFALSE):
81 AliPerformanceObject(name,title),
82
83 // DCA histograms
84 fDCAHisto(0),
85
86 // Cuts
87 fCutsRC(0),
88 fCutsMC(0),
89
90 // histogram folder
91 fAnalysisFolder(0)
92{
93 // named constructor
94
95 SetAnalysisMode(analysisMode);
96 SetHptGenerator(hptGenerator);
97 Init();
98}
99
100//_____________________________________________________________________________
101AliPerformanceDCA::~AliPerformanceDCA()
102{
103 // destructor
104 if(fDCAHisto) delete fDCAHisto; fDCAHisto=0;
105 if(fAnalysisFolder) delete fAnalysisFolder; fAnalysisFolder=0;
106}
107
108//_____________________________________________________________________________
109void AliPerformanceDCA::Init()
110{
111 // DCA histograms
112 Int_t nPtBins = 50;
113 Double_t ptMin = 1.e-2, ptMax = 10.;
114
115 Double_t *binsPt = 0;
116 if (IsHptGenerator()) {
117 nPtBins = 100; ptMax = 100.;
118 binsPt = CreateLogAxis(nPtBins,ptMin,ptMax);
119 } else {
120 binsPt = CreateLogAxis(nPtBins,ptMin,ptMax);
121 }
122
123 /*
124 Int_t nPtBins = 31;
125 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.};
126 Double_t ptMin = 0., ptMax = 10.;
127
128 if(IsHptGenerator() == kTRUE) {
129 nPtBins = 100;
130 ptMin = 0.; ptMax = 100.;
131 }
132 */
133
134 //dca_r, dca_z, eta, pt
e6a60a90 135 Int_t binsQA[5] = {100,100,30,nPtBins,144};
886bf4d3 136 Double_t xminQA[5] = {-10.,-10.,-1.5,ptMin,0.};
137 Double_t xmaxQA[5] = {10.,10.,1.5,ptMax,2*TMath::Pi()};
7cc34f08 138
886bf4d3 139 fDCAHisto = new THnSparseF("fDCAHisto","dca_r:dca_z:eta:pt:phi",5,binsQA,xminQA,xmaxQA);
7cc34f08 140 fDCAHisto->SetBinEdges(3,binsPt);
141
142 fDCAHisto->GetAxis(0)->SetTitle("dca_r (cm)");
143 fDCAHisto->GetAxis(1)->SetTitle("dca_z (cm)");
144 fDCAHisto->GetAxis(2)->SetTitle("#eta");
145 fDCAHisto->GetAxis(3)->SetTitle("p_{T} (GeV/c)");
886bf4d3 146 fDCAHisto->GetAxis(4)->SetTitle("phi (rad)");
7cc34f08 147 fDCAHisto->Sumw2();
148
149 // init cuts
150 if(!fCutsMC)
151 AliDebug(AliLog::kError, "ERROR: Cannot find AliMCInfoCuts object");
152 if(!fCutsRC)
153 AliDebug(AliLog::kError, "ERROR: Cannot find AliRecInfoCuts object");
154
155 // init folder
156 fAnalysisFolder = CreateFolder("folderDCA","Analysis DCA Folder");
157}
158
159//_____________________________________________________________________________
758320f7 160void AliPerformanceDCA::ProcessTPC(AliStack* const stack, AliESDtrack *const esdTrack, AliESDEvent* const esdEvent)
7cc34f08 161{
162 // Fill DCA comparison information
758320f7 163 if(!esdEvent) return;
7cc34f08 164 if(!esdTrack) return;
165
758320f7 166 if( IsUseTrackVertex() )
167 {
168 // Relate TPC inner params to prim. vertex
169 const AliESDVertex *vtxESD = esdEvent->GetPrimaryVertexTracks();
170 Double_t x[3]; esdTrack->GetXYZ(x);
171 Double_t b[3]; AliTracker::GetBxByBz(x,b);
172 Bool_t isOK = esdTrack->RelateToVertexTPCBxByBz(vtxESD, b, kVeryBig);
173 if(!isOK) return;
174
175 /*
176 // JMT -- recaluclate DCA for HLT if not present
177 if ( dca[0] == 0. && dca[1] == 0. ) {
178 track->GetDZ( vtxESD->GetX(), vtxESD->GetY(), vtxESD->GetZ(), esdEvent->GetMagneticField(), dca );
179 }
180 */
181 }
182
183 // get TPC inner params at DCA to prim. vertex
7cc34f08 184 const AliExternalTrackParam *track = esdTrack->GetTPCInnerParam();
185 if(!track) return;
186
758320f7 187 // read from ESD track
7cc34f08 188 Float_t dca[2], cov[3]; // dca_xy, dca_z, sigma_xy, sigma_xy_z, sigma_z
189 esdTrack->GetImpactParametersTPC(dca,cov);
190
191 if (esdTrack->GetTPCNcls()<fCutsRC->GetMinNClustersTPC()) return; // min. nb. TPC clusters
192
886bf4d3 193 Double_t vDCAHisto[5]={dca[0],dca[1],track->Eta(),track->Pt(),track->Phi()};
7cc34f08 194 fDCAHisto->Fill(vDCAHisto);
195
196 //
197 // Fill rec vs MC information
198 //
199 if(!stack) return;
200
758320f7 201}
7cc34f08 202
203//_____________________________________________________________________________
758320f7 204void AliPerformanceDCA::ProcessTPCITS(AliStack* const stack, AliESDtrack *const esdTrack, AliESDEvent* const esdEvent)
7cc34f08 205{
206 // Fill DCA comparison information
207 if(!esdTrack) return;
758320f7 208 if(!esdEvent) return;
209
210 if( IsUseTrackVertex() )
211 {
212 // Relate TPC inner params to prim. vertex
213 const AliESDVertex *vtxESD = esdEvent->GetPrimaryVertexTracks();
214 Double_t x[3]; esdTrack->GetXYZ(x);
215 Double_t b[3]; AliTracker::GetBxByBz(x,b);
216 Bool_t isOK = esdTrack->RelateToVertexBxByBz(vtxESD, b, kVeryBig);
217 if(!isOK) return;
218
219 /*
220 // JMT -- recaluclate DCA for HLT if not present
221 if ( dca[0] == 0. && dca[1] == 0. ) {
222 track->GetDZ( vtxESD->GetX(), vtxESD->GetY(), vtxESD->GetZ(), esdEvent->GetMagneticField(), dca );
223 }
224 */
225 }
7cc34f08 226
227 Float_t dca[2], cov[3]; // dca_xy, dca_z, sigma_xy, sigma_xy_z, sigma_z
228 esdTrack->GetImpactParameters(dca,cov);
229
230 if ((esdTrack->GetStatus()&AliESDtrack::kTPCrefit)==0) return; // TPC refit
231 if (esdTrack->GetTPCNcls()<fCutsRC->GetMinNClustersTPC()) return; // min. nb. TPC clusters
232 Int_t clusterITS[200];
233 if(esdTrack->GetITSclusters(clusterITS)<fCutsRC->GetMinNClustersITS()) return; // min. nb. ITS clusters
234
886bf4d3 235 Double_t vDCAHisto[5]={dca[0],dca[1],esdTrack->Eta(),esdTrack->Pt(), esdTrack->Phi()};
7cc34f08 236 fDCAHisto->Fill(vDCAHisto);
237
238 //
239 // Fill rec vs MC information
240 //
241 if(!stack) return;
242
243}
244
245void AliPerformanceDCA::ProcessConstrained(AliStack* const /*stack*/, AliESDtrack *const /*esdTrack*/)
246{
247 // Fill DCA comparison information
248
249 AliDebug(AliLog::kWarning, "Warning: Not implemented");
250}
251
252//_____________________________________________________________________________
253Long64_t AliPerformanceDCA::Merge(TCollection* const list)
254{
255 // Merge list of objects (needed by PROOF)
256
257 if (!list)
258 return 0;
259
260 if (list->IsEmpty())
261 return 1;
262
263 TIterator* iter = list->MakeIterator();
264 TObject* obj = 0;
265
266 // collection of generated histograms
267 Int_t count=0;
268 while((obj = iter->Next()) != 0)
269 {
270 AliPerformanceDCA* entry = dynamic_cast<AliPerformanceDCA*>(obj);
271 if (entry == 0) continue;
272
273 fDCAHisto->Add(entry->fDCAHisto);
274 count++;
275 }
276
277return count;
278}
279
280//_____________________________________________________________________________
281void AliPerformanceDCA::Exec(AliMCEvent* const mcEvent, AliESDEvent *const esdEvent, AliESDfriend *const esdFriend, const Bool_t bUseMC, const Bool_t bUseESDfriend)
282{
283 // Process comparison information
284 //
285 if(!esdEvent)
286 {
287 Error("Exec","esdEvent not available");
288 return;
289 }
290 AliHeader* header = 0;
291 AliGenEventHeader* genHeader = 0;
292 AliStack* stack = 0;
293 TArrayF vtxMC(3);
294
295 if(bUseMC)
296 {
297 if(!mcEvent) {
298 Error("Exec","mcEvent not available");
299 return;
300 }
301 // get MC event header
302 header = mcEvent->Header();
303 if (!header) {
304 Error("Exec","Header not available");
305 return;
306 }
307 // MC particle stack
308 stack = mcEvent->Stack();
309 if (!stack) {
310 Error("Exec","Stack not available");
311 return;
312 }
313 // get MC vertex
314 genHeader = header->GenEventHeader();
315 if (!genHeader) {
316 Error("Exec","Could not retrieve genHeader from Header");
317 return;
318 }
319 genHeader->PrimaryVertex(vtxMC);
320 }
321
322 // use ESD friends
323 if(bUseESDfriend) {
324 if(!esdFriend) {
325 Error("Exec","esdFriend not available");
326 return;
327 }
328 }
329
e6a60a90 330 // trigger
046b4280 331 if(!bUseMC &&GetTriggerClass()) {
4bb5f8a9 332 Bool_t isEventTriggered = esdEvent->IsTriggerClassFired(GetTriggerClass());
333 if(!isEventTriggered) return;
334 }
e6a60a90 335
758320f7 336 // get event vertex
337 const AliESDVertex *vtxESD = NULL;
338 if( IsUseTrackVertex() )
339 {
340 // track vertex
341 vtxESD = esdEvent->GetPrimaryVertexTracks();
342 }
343 else {
344 // TPC track vertex
345 vtxESD = esdEvent->GetPrimaryVertexTPC();
346 }
e6a60a90 347 if(vtxESD && (vtxESD->GetStatus()<=0)) return;
348
7cc34f08 349 // Process events
350 for (Int_t iTrack = 0; iTrack < esdEvent->GetNumberOfTracks(); iTrack++)
351 {
352 AliESDtrack *track = esdEvent->GetTrack(iTrack);
353 if(!track) continue;
354
758320f7 355 if(GetAnalysisMode() == 0) ProcessTPC(stack,track,esdEvent);
356 else if(GetAnalysisMode() == 1) ProcessTPCITS(stack,track,esdEvent);
7cc34f08 357 else if(GetAnalysisMode() == 2) ProcessConstrained(stack,track);
358 else {
359 printf("ERROR: AnalysisMode %d \n",fAnalysisMode);
360 return;
361 }
362 }
363}
364
365//_____________________________________________________________________________
366void AliPerformanceDCA::Analyse()
367{
368 //
369 // Analyse comparison information and store output histograms
370 // in the analysis folder "folderDCA"
371 //
372
373 TH1::AddDirectory(kFALSE);
4bb5f8a9 374 TH1F *h1D=0;
375 TH2F *h2D=0;
7cc34f08 376 TObjArray *aFolderObj = new TObjArray;
377 char title[256];
4bb5f8a9 378 TObjArray *arr[6] = {0};
379 TF1 *f1[6] = {0};
7cc34f08 380
381 // set pt measurable range
a13f4653 382 //fDCAHisto->GetAxis(3)->SetRangeUser(0.10,10.);
7cc34f08 383
384 //
4bb5f8a9 385 h2D = (TH2F*)fDCAHisto->Projection(0,1); // inverse projection convention
7cc34f08 386 h2D->SetName("dca_r_vs_dca_z");
387 h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle());
388 h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(0)->GetTitle());
389 sprintf(title,"%s vs %s",fDCAHisto->GetAxis(0)->GetTitle(),fDCAHisto->GetAxis(1)->GetTitle());
390 h2D->SetTitle(title);
391 aFolderObj->Add(h2D);
392
393 //
4bb5f8a9 394 h2D = (TH2F*)fDCAHisto->Projection(0,2);
7cc34f08 395 h2D->SetName("dca_r_vs_eta");
396 h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
397 h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(0)->GetTitle());
398 sprintf(title,"%s vs %s",fDCAHisto->GetAxis(2)->GetTitle(),fDCAHisto->GetAxis(0)->GetTitle());
399 h2D->SetTitle(title);
400 aFolderObj->Add(h2D);
401
4bb5f8a9 402 //
403 // mean and rms
404 //
7cc34f08 405 h1D = MakeStat1D(h2D,0,0);
406 h1D->SetName("mean_dca_r_vs_eta");
407 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
408 h1D->GetYaxis()->SetTitle("mean_dca_r (cm)");
409 sprintf(title," mean_dca_r (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle());
410 h1D->SetTitle(title);
411 aFolderObj->Add(h1D);
412
413 h1D = MakeStat1D(h2D,0,1);
414 h1D->SetName("rms_dca_r_vs_eta");
415 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
416 h1D->GetYaxis()->SetTitle("rms_dca_r (cm)");
417 sprintf(title," rms_dca_r (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle());
418 h1D->SetTitle(title);
419 aFolderObj->Add(h1D);
420
421 //
4bb5f8a9 422 // fit mean and sigma
423 //
424
425 arr[0] = new TObjArray();
426 f1[0] = new TF1("gaus","gaus");
427 h2D->FitSlicesY(f1[0],0,-1,0,"QNR",arr[0]);
428
429 h1D = (TH1F*)arr[0]->At(1);
430 h1D->SetName("fit_mean_dca_r_vs_eta");
431 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
432 h1D->GetYaxis()->SetTitle("fit_mean_dca_r (cm)");
433 sprintf(title," fit_mean_dca_r (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle());
434 h1D->SetTitle(title);
435 aFolderObj->Add(h1D);
436
437 h1D = (TH1F*)arr[0]->At(2);
438 h1D->SetName("res_dca_r_vs_eta");
439 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
440 h1D->GetYaxis()->SetTitle("res_dca_r (cm)");
441 sprintf(title," res_dca_r (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle());
442 h1D->SetTitle(title);
443 aFolderObj->Add(h1D);
444
445 //
446 //
447 //
448 h2D = (TH2F*)fDCAHisto->Projection(0,3);
7cc34f08 449 h2D->SetName("dca_r_vs_pt");
450 h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
451 h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(0)->GetTitle());
452 sprintf(title,"%s vs %s",fDCAHisto->GetAxis(0)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle());
453 h2D->SetTitle(title);
454 h2D->SetBit(TH1::kLogX);
455 aFolderObj->Add(h2D);
456
457 h1D = MakeStat1D(h2D,0,0);
458 h1D->SetName("mean_dca_r_vs_pt");
459 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
460 h1D->GetYaxis()->SetTitle("mean_dca_r (cm)");
461 sprintf(title,"mean_dca_r (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle());
462 h1D->SetTitle(title);
463 h1D->SetBit(TH1::kLogX);
464 aFolderObj->Add(h1D);
465
466 h1D = MakeStat1D(h2D,0,1);
467 h1D->SetName("rms_dca_r_vs_pt");
468 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
469 h1D->GetYaxis()->SetTitle("rms_dca_r (cm)");
470 sprintf(title,"rms_dca_r (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle());
471 h1D->SetTitle(title);
472 h1D->SetBit(TH1::kLogX);
473 aFolderObj->Add(h1D);
474
4bb5f8a9 475 //
476 // fit mean and sigma
477 //
478
479 arr[1] = new TObjArray();
480 f1[1] = new TF1("gaus","gaus");
481 h2D->FitSlicesY(f1[1],0,-1,0,"QNR",arr[1]);
482
483 h1D = (TH1F*)arr[1]->At(1);
484 h1D->SetName("fit_mean_dca_r_vs_pt");
485 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
486 h1D->GetYaxis()->SetTitle("fit_mean_dca_r (cm)");
487 sprintf(title,"fit_mean_dca_r (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle());
488 h1D->SetTitle(title);
489 h1D->SetBit(TH1::kLogX);
490 aFolderObj->Add(h1D);
491
492 h1D = (TH1F*)arr[1]->At(2);
493 h1D->SetName("res_dca_r_vs_pt");
494 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
495 h1D->GetYaxis()->SetTitle("res_dca_r (cm)");
496 sprintf(title,"res_dca_r (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle());
497 h1D->SetTitle(title);
498 h1D->SetBit(TH1::kLogX);
499 aFolderObj->Add(h1D);
500
7cc34f08 501 //
4bb5f8a9 502 h2D = (TH2F*)fDCAHisto->Projection(1,2);
7cc34f08 503 h2D->SetName("dca_z_vs_eta");
504 h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
505 h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle());
506 sprintf(title,"%s vs %s",fDCAHisto->GetAxis(1)->GetTitle(),fDCAHisto->GetAxis(2)->GetTitle());
507 h2D->SetTitle(title);
508 aFolderObj->Add(h2D);
509
510 h1D = MakeStat1D(h2D,0,0);
511 h1D->SetName("mean_dca_z_vs_eta");
512 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
513 h1D->GetYaxis()->SetTitle("mean_dca_z (cm)");
514 sprintf(title,"mean_dca_z (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle());
515 h1D->SetTitle(title);
516 aFolderObj->Add(h1D);
517
518 h1D = MakeStat1D(h2D,0,1);
519 h1D->SetName("rms_dca_z_vs_eta");
520 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
521 h1D->GetYaxis()->SetTitle("rms_dca_z (cm)");
522 sprintf(title,"rms_dca_z (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle());
523 h1D->SetTitle(title);
524 aFolderObj->Add(h1D);
525
526 //
4bb5f8a9 527 // fit mean and sigma
528 //
529 arr[2] = new TObjArray();
530 f1[2] = new TF1("gaus","gaus");
531 h2D->FitSlicesY(f1[2],0,-1,0,"QNR",arr[2]);
532
533 h1D = (TH1F*)arr[2]->At(1);
534 h1D->SetName("fit_mean_dca_z_vs_eta");
535 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
536 h1D->GetYaxis()->SetTitle("fit_mean_dca_z (cm)");
537 sprintf(title,"fit_mean_dca_z (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle());
538 h1D->SetTitle(title);
539 aFolderObj->Add(h1D);
540
541 h1D = (TH1F*)arr[2]->At(2);
542 h1D->SetName("res_dca_z_vs_eta");
543 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
544 h1D->GetYaxis()->SetTitle("res_dca_z (cm)");
545 sprintf(title,"res_dca_z (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle());
546 h1D->SetTitle(title);
547 aFolderObj->Add(h1D);
548
549 //
550 h2D = (TH2F*)fDCAHisto->Projection(1,3);
7cc34f08 551 h2D->SetName("dca_z_vs_pt");
552 h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
553 h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle());
554 sprintf(title,"%s vs %s",fDCAHisto->GetAxis(1)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle());
555 h2D->SetTitle(title);
556 h2D->SetBit(TH1::kLogX);
557 aFolderObj->Add(h2D);
558
559 h1D = MakeStat1D(h2D,0,0);
560 h1D->SetName("mean_dca_z_vs_pt");
561 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
562 h1D->GetYaxis()->SetTitle("mean_dca_z (cm)");
563 sprintf(title,"mean_dca_z (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle());
564 h1D->SetTitle(title);
565 h1D->SetBit(TH1::kLogX);
566 aFolderObj->Add(h1D);
567
568 h1D = MakeStat1D(h2D,0,1);
569 h1D->SetName("rms_dca_z_vs_pt");
570 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
571 h1D->GetYaxis()->SetTitle("rms_dca_z (cm)");
572 sprintf(title,"rms_dca_z (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle());
573 h1D->SetTitle(title);
574 h1D->SetBit(TH1::kLogX);
575 aFolderObj->Add(h1D);
576
4bb5f8a9 577 //
578 // fit mean and sigma
579 //
580
581 arr[3] = new TObjArray();
582 f1[3] = new TF1("gaus","gaus");
583 h2D->FitSlicesY(f1[3],0,-1,0,"QNR",arr[3]);
584
585 h1D = (TH1F*)arr[3]->At(1);
586 h1D->SetName("fit_mean_dca_z_vs_pt");
587 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
588 h1D->GetYaxis()->SetTitle("fit_mean_dca_z (cm)");
589 sprintf(title,"fit_mean_dca_z (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle());
590 h1D->SetTitle(title);
591 h1D->SetBit(TH1::kLogX);
592 aFolderObj->Add(h1D);
593
594 h1D = (TH1F*)arr[3]->At(2);
595 h1D->SetName("res_dca_z_vs_pt");
596 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
597 h1D->GetYaxis()->SetTitle("res_dca_z (cm)");
598 sprintf(title,"res_dca_z (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle());
599 h1D->SetTitle(title);
600 h1D->SetBit(TH1::kLogX);
601 aFolderObj->Add(h1D);
602
886bf4d3 603 // A - side
604 fDCAHisto->GetAxis(2)->SetRangeUser(-1.5,0.0);
7cc34f08 605
4bb5f8a9 606 h2D = (TH2F*)fDCAHisto->Projection(1,4);
607 h2D->SetName("dca_z_vs_phi_Aside");
886bf4d3 608 h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle());
609 h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle());
610 sprintf(title,"%s vs %s (A-side)",fDCAHisto->GetAxis(1)->GetTitle(),fDCAHisto->GetAxis(4)->GetTitle());
7cc34f08 611 h2D->SetTitle(title);
612 aFolderObj->Add(h2D);
613
886bf4d3 614 h1D = MakeStat1D(h2D,0,0);
4bb5f8a9 615 h1D->SetName("mean_dca_z_vs_phi_Aside");
886bf4d3 616 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle());
617 h1D->GetYaxis()->SetTitle("mean_dca_z (cm)");
618 sprintf(title,"mean_dca_z (cm) vs %s (A-side)",fDCAHisto->GetAxis(4)->GetTitle());
619 h1D->SetTitle(title);
620 aFolderObj->Add(h1D);
7cc34f08 621
886bf4d3 622 h1D = MakeStat1D(h2D,0,1);
4bb5f8a9 623 h1D->SetName("rms_dca_z_vs_phi_Aside");
886bf4d3 624 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle());
625 h1D->GetYaxis()->SetTitle("rms_dca_z (cm)");
626 sprintf(title,"rms_dca_z (cm) vs %s (A-side)",fDCAHisto->GetAxis(4)->GetTitle());
627 h1D->SetTitle(title);
628 aFolderObj->Add(h1D);
629
4bb5f8a9 630 //
631 // fit mean and sigma
632 //
633 arr[4] = new TObjArray();
634 f1[4] = new TF1("gaus","gaus");
635 h2D->FitSlicesY(f1[4],0,-1,0,"QNR",arr[4]);
636
637 h1D = (TH1F*)arr[4]->At(1);
638 h1D->SetName("fit_mean_dca_z_vs_phi_Aside");
639 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle());
640 h1D->GetYaxis()->SetTitle("fit_mean_dca_z (cm)");
641 sprintf(title,"fit_mean_dca_z (cm) vs %s (A-side)",fDCAHisto->GetAxis(4)->GetTitle());
642 h1D->SetTitle(title);
643 aFolderObj->Add(h1D);
644
645 h1D = (TH1F*)arr[4]->At(2);
646 h1D->SetName("res_dca_z_vs_phi_Aside");
647 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle());
648 h1D->GetYaxis()->SetTitle("res_dca_z (cm)");
649 sprintf(title,"res_dca_z (cm) vs %s (A-side)",fDCAHisto->GetAxis(4)->GetTitle());
650 h1D->SetTitle(title);
651 aFolderObj->Add(h1D);
652
653
886bf4d3 654 // C - side
655 fDCAHisto->GetAxis(2)->SetRangeUser(0.0,1.5);
7cc34f08 656
4bb5f8a9 657 h2D = (TH2F*)fDCAHisto->Projection(1,4);
658 h2D->SetName("dca_z_vs_phi_Cside");
886bf4d3 659 h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle());
660 h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle());
661 sprintf(title,"%s vs %s (C-side)",fDCAHisto->GetAxis(1)->GetTitle(),fDCAHisto->GetAxis(4)->GetTitle());
7cc34f08 662 h2D->SetTitle(title);
663 aFolderObj->Add(h2D);
664
886bf4d3 665 h1D = MakeStat1D(h2D,0,0);
4bb5f8a9 666 h1D->SetName("mean_dca_z_vs_phi_Cside");
886bf4d3 667 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle());
668 h1D->GetYaxis()->SetTitle("mean_dca_z (cm)");
669 sprintf(title,"mean_dca_z (cm) vs %s (C-side)",fDCAHisto->GetAxis(4)->GetTitle());
670 h1D->SetTitle(title);
671 aFolderObj->Add(h1D);
672
673 h1D = MakeStat1D(h2D,0,1);
4bb5f8a9 674 h1D->SetName("rms_dca_z_vs_phi_Cside");
886bf4d3 675 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle());
676 h1D->GetYaxis()->SetTitle("rms_dca_z (cm)");
677 sprintf(title,"rms_dca_z (cm) vs %s (C-side)",fDCAHisto->GetAxis(4)->GetTitle());
678 h1D->SetTitle(title);
679 aFolderObj->Add(h1D);
886bf4d3 680
4bb5f8a9 681 //
682 // fit mean and sigma
683 //
684 arr[5] = new TObjArray();
685 f1[5] = new TF1("gaus","gaus");
686 h2D->FitSlicesY(f1[5],0,-1,0,"QNR",arr[5]);
687
688 h1D = (TH1F*)arr[5]->At(1);
689 h1D->SetName("fit_mean_dca_z_vs_phi_Cside");
690 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle());
691 h1D->GetYaxis()->SetTitle("fit_mean_dca_z (cm)");
692 sprintf(title,"fit_mean_dca_z (cm) vs %s (C-side)",fDCAHisto->GetAxis(4)->GetTitle());
693 h1D->SetTitle(title);
694 aFolderObj->Add(h1D);
7cc34f08 695
4bb5f8a9 696 h1D = (TH1F*)arr[5]->At(2);
697 h1D->SetName("res_dca_z_vs_phi_Cside");
698 h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(4)->GetTitle());
699 h1D->GetYaxis()->SetTitle("res_dca_z (cm)");
700 sprintf(title,"res_dca_z (cm) vs %s (C-side)",fDCAHisto->GetAxis(4)->GetTitle());
701 h1D->SetTitle(title);
702 aFolderObj->Add(h1D);
703
7cc34f08 704 // export objects to analysis folder
705 fAnalysisFolder = ExportToFolder(aFolderObj);
706
707 // delete only TObjArray
708 if(aFolderObj) delete aFolderObj;
709}
710
711//_____________________________________________________________________________
712TH1F* AliPerformanceDCA::MakeStat1D(TH2 *hist, Int_t delta0, Int_t type)
713{
714 // Return TH1F histogram
715 // delta - number of bins to integrate
716 // with mean (type == 0) or RMS (type==1)
717
718 char hname[256];
719 const char* suffix = "_stat1d";
720 sprintf(hname,"%s%s",hist->GetName(),suffix);
721 TAxis* xaxis = hist->GetXaxis();
722 Int_t nbinx = xaxis->GetNbins();
723
724 TH1F *hnew = (TH1F*)hist->ProjectionX()->Clone();
725 hnew->SetName(hname);
726
727 char name[256];
728 for (Int_t ix=0; ix<=nbinx;ix++) {
729 sprintf(name,"%s_%d",hist->GetName(),ix);
730 TH1 *projection = hist->ProjectionY(name,ix-delta0,ix+delta0);
731
732 Float_t stat= 0., stat_err =0.;
733 if (type==0) { stat = projection->GetMean(); stat_err = projection->GetMeanError(); }
734 if (type==1) { stat = projection->GetRMS(); stat_err = projection->GetRMSError(); }
735
736 hnew->SetBinContent(ix, stat);
737 hnew->SetBinError(ix, stat_err);
738 }
739
740return hnew;
741}
742
743//_____________________________________________________________________________
744TH2F* AliPerformanceDCA::MakeStat2D(TH3 *hist, Int_t delta0, Int_t delta1, Int_t type)
745{
746 // Return TH1F histogram
747 // delta0 - number of bins to integrate in x
748 // delta1 - number of bins to integrate in y
749 // with mean (type==0) or RMS (type==1)
750
751 char hname[256];
752 const char* suffix = "_stat2d";
753 sprintf(hname,"%s%s",hist->GetName(),suffix);
754
755 TAxis* xaxis = hist->GetXaxis();
756 Int_t nbinx = xaxis->GetNbins();
757
758 TH2F *hnew = (TH2F*)hist->Project3D("yx")->Clone();
759 hnew->SetName(hname);
760
761 TAxis* yaxis = hist->GetYaxis();
762 Int_t nbiny = yaxis->GetNbins();
763
764 char name[256];
765 for (Int_t ix=0; ix<=nbinx;ix++) {
766 for (Int_t iy=0; iy<=nbiny;iy++) {
767 sprintf(name,"%s_%d_%d",hist->GetName(),ix,iy);
768 TH1 *projection = hist->ProjectionZ(name,ix-delta0,ix+delta0,iy-delta1,iy+delta1);
769
770 Float_t stat= 0., stat_err =0.;
771 if (type==0) { stat = projection->GetMean(); stat_err = projection->GetMeanError(); }
772 if (type==1) { stat = projection->GetRMS(); stat_err = projection->GetRMSError(); }
773
774 hnew->SetBinContent(ix,iy,stat);
775 hnew->SetBinError(ix,iy,stat_err);
776 }
777 }
778
779return hnew;
780}
781
782//_____________________________________________________________________________
783TFolder* AliPerformanceDCA::ExportToFolder(TObjArray * array)
784{
785 // recreate folder avery time and export objects to new one
786 //
787 AliPerformanceDCA * comp=this;
788 TFolder *folder = comp->GetAnalysisFolder();
789
790 TString name, title;
791 TFolder *newFolder = 0;
792 Int_t i = 0;
793 Int_t size = array->GetSize();
794
795 if(folder) {
796 // get name and title from old folder
797 name = folder->GetName();
798 title = folder->GetTitle();
799
800 // delete old one
801 delete folder;
802
803 // create new one
804 newFolder = CreateFolder(name.Data(),title.Data());
805 newFolder->SetOwner();
806
807 // add objects to folder
808 while(i < size) {
809 newFolder->Add(array->At(i));
810 i++;
811 }
812 }
813
814return newFolder;
815}
816
817//_____________________________________________________________________________
818TFolder* AliPerformanceDCA::CreateFolder(TString name,TString title) {
819// create folder for analysed histograms
820TFolder *folder = 0;
821 folder = new TFolder(name.Data(),title.Data());
822
823 return folder;
824}