PWG1/AliPerformanceDCA.cxx

   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 //_____________________________________________________________________________
 241 void AliPerformanceDCA::Exec(AliMCEvent* const mcEvent, AliESDEvent *const esdEvent, const Bool_t bUseMC)
 242 {
 243   // Process comparison information
 244   if(!esdEvent)
 245   {
 246       AliDebug(AliLog::kError, "esdEvent not available");
 247       return;
 248   }
 249   AliHeader* header = 0;
 250   AliGenEventHeader* genHeader = 0;
 251   AliStack* stack = 0;
 252   TArrayF vtxMC(3);
 253
 254   if(bUseMC)
 255   {
 256     if(!mcEvent) {
 257       AliDebug(AliLog::kError, "mcEvent not available");
 258       return;
 259     }
 260     // get MC event header
 261     header = mcEvent->Header();
 262     if (!header) {
 263       AliDebug(AliLog::kError, "Header not available");
 264       return;
 265     }
 266     // MC particle stack
 267     stack = mcEvent->Stack();
 268     if (!stack) {
 269       AliDebug(AliLog::kError, "Stack not available");
 270       return;
 271     }
 272     // get MC vertex
 273     genHeader = header->GenEventHeader();
 274     if (!genHeader) {
 275       AliDebug(AliLog::kError, "Could not retrieve genHeader from Header");
 276       return;
 277     }
 278     genHeader->PrimaryVertex(vtxMC);
 279
 280   } // end bUseMC
 281
 282   //  Process events
 283   for (Int_t iTrack = 0; iTrack < esdEvent->GetNumberOfTracks(); iTrack++)
 284   {
 285     AliESDtrack *track = esdEvent->GetTrack(iTrack);
 286     if(!track) continue;
 287
 288     if(GetAnalysisMode() == 0) ProcessTPC(stack,track);
 289     else if(GetAnalysisMode() == 1) ProcessTPCITS(stack,track);
 290     else if(GetAnalysisMode() == 2) ProcessConstrained(stack,track);
 291     else {
 292       printf("ERROR: AnalysisMode %d \n",fAnalysisMode);
 293       return;
 294     }
 295   }
 296 }
 297
 298 //_____________________________________________________________________________
 299 void AliPerformanceDCA::Analyse()
 300 {
 301   //
 302   // Analyse comparison information and store output histograms
 303   // in the analysis folder "folderDCA"
 304   //
 305
 306   TH1::AddDirectory(kFALSE);
 307   TH1 *h1D=0;
 308   TH2 *h2D=0;
 309   //TH3 *h3D=0;
 310   TObjArray *aFolderObj = new TObjArray;
 311   char title[256];
 312
 313   // set pt measurable range
 314   fDCAHisto->GetAxis(3)->SetRangeUser(0.10,10.);
 315
 316   //
 317   h2D = fDCAHisto->Projection(0,1); // inverse projection convention
 318   h2D->SetName("dca_r_vs_dca_z");
 319   h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle());
 320   h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(0)->GetTitle());
 321   sprintf(title,"%s vs %s",fDCAHisto->GetAxis(0)->GetTitle(),fDCAHisto->GetAxis(1)->GetTitle());
 322   h2D->SetTitle(title);
 323   aFolderObj->Add(h2D);
 324
 325   //
 326   h2D = fDCAHisto->Projection(0,2);
 327   h2D->SetName("dca_r_vs_eta");
 328   h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
 329   h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(0)->GetTitle());
 330   sprintf(title,"%s vs %s",fDCAHisto->GetAxis(2)->GetTitle(),fDCAHisto->GetAxis(0)->GetTitle());
 331   h2D->SetTitle(title);
 332   aFolderObj->Add(h2D);
 333
 334   h1D = MakeStat1D(h2D,0,0);
 335   h1D->SetName("mean_dca_r_vs_eta");
 336   h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
 337   h1D->GetYaxis()->SetTitle("mean_dca_r (cm)");
 338   sprintf(title," mean_dca_r (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle());
 339   h1D->SetTitle(title);
 340   aFolderObj->Add(h1D);
 341
 342   h1D = MakeStat1D(h2D,0,1);
 343   h1D->SetName("rms_dca_r_vs_eta");
 344   h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
 345   h1D->GetYaxis()->SetTitle("rms_dca_r (cm)");
 346   sprintf(title," rms_dca_r (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle());
 347   h1D->SetTitle(title);
 348   aFolderObj->Add(h1D);
 349
 350   //
 351   h2D = fDCAHisto->Projection(0,3);
 352   h2D->SetName("dca_r_vs_pt");
 353   h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
 354   h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(0)->GetTitle());
 355   sprintf(title,"%s vs %s",fDCAHisto->GetAxis(0)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle());
 356   h2D->SetTitle(title);
 357   h2D->SetBit(TH1::kLogX);
 358   aFolderObj->Add(h2D);
 359
 360   h1D = MakeStat1D(h2D,0,0);
 361   h1D->SetName("mean_dca_r_vs_pt");
 362   h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
 363   h1D->GetYaxis()->SetTitle("mean_dca_r (cm)");
 364   sprintf(title,"mean_dca_r (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle());
 365   h1D->SetTitle(title);
 366   h1D->SetBit(TH1::kLogX);
 367   aFolderObj->Add(h1D);
 368
 369   h1D = MakeStat1D(h2D,0,1);
 370   h1D->SetName("rms_dca_r_vs_pt");
 371   h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
 372   h1D->GetYaxis()->SetTitle("rms_dca_r (cm)");
 373   sprintf(title,"rms_dca_r (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle());
 374   h1D->SetTitle(title);
 375   h1D->SetBit(TH1::kLogX);
 376   aFolderObj->Add(h1D);
 377
 378   //
 379   h2D = fDCAHisto->Projection(1,2);
 380   h2D->SetName("dca_z_vs_eta");
 381   h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
 382   h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle());
 383   sprintf(title,"%s vs %s",fDCAHisto->GetAxis(1)->GetTitle(),fDCAHisto->GetAxis(2)->GetTitle());
 384   h2D->SetTitle(title);
 385   aFolderObj->Add(h2D);
 386
 387   h1D = MakeStat1D(h2D,0,0);
 388   h1D->SetName("mean_dca_z_vs_eta");
 389   h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
 390   h1D->GetYaxis()->SetTitle("mean_dca_z (cm)");
 391   sprintf(title,"mean_dca_z (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle());
 392   h1D->SetTitle(title);
 393   aFolderObj->Add(h1D);
 394
 395   h1D = MakeStat1D(h2D,0,1);
 396   h1D->SetName("rms_dca_z_vs_eta");
 397   h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
 398   h1D->GetYaxis()->SetTitle("rms_dca_z (cm)");
 399   sprintf(title,"rms_dca_z (cm) vs %s",fDCAHisto->GetAxis(2)->GetTitle());
 400   h1D->SetTitle(title);
 401   aFolderObj->Add(h1D);
 402
 403   //
 404   h2D = fDCAHisto->Projection(1,3);
 405   h2D->SetName("dca_z_vs_pt");
 406   h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
 407   h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(1)->GetTitle());
 408   sprintf(title,"%s vs %s",fDCAHisto->GetAxis(1)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle());
 409   h2D->SetTitle(title);
 410   h2D->SetBit(TH1::kLogX);
 411   aFolderObj->Add(h2D);
 412
 413   h1D = MakeStat1D(h2D,0,0);
 414   h1D->SetName("mean_dca_z_vs_pt");
 415   h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
 416   h1D->GetYaxis()->SetTitle("mean_dca_z (cm)");
 417   sprintf(title,"mean_dca_z (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle());
 418   h1D->SetTitle(title);
 419   h1D->SetBit(TH1::kLogX);
 420   aFolderObj->Add(h1D);
 421
 422   h1D = MakeStat1D(h2D,0,1);
 423   h1D->SetName("rms_dca_z_vs_pt");
 424   h1D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
 425   h1D->GetYaxis()->SetTitle("rms_dca_z (cm)");
 426   sprintf(title,"rms_dca_z (cm) vs %s",fDCAHisto->GetAxis(3)->GetTitle());
 427   h1D->SetTitle(title);
 428   h1D->SetBit(TH1::kLogX);
 429   aFolderObj->Add(h1D);
 430
 431   /*
 432   h3D = fDCAHisto->Projection(2,3,0); // normal 3D projection convention
 433   h3D->SetName("dca_r_vs_eta_vs_pt");
 434
 435   h2D = MakeStat2D(h3D,0,0,0);
 436   h2D->SetName("mean_dca_r_vs_eta_vs_pt");
 437   h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
 438   h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
 439   h2D->GetZaxis()->SetTitle("mean_dca_r (cm)");
 440   sprintf(title,"mean_dca_r (cm) vs %s vs %s",fDCAHisto->GetAxis(2)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle());
 441   h2D->SetTitle(title);
 442   aFolderObj->Add(h2D);
 443
 444   h2D = MakeStat2D(h3D,0,0,1);
 445   h2D->SetName("rms_dca_r_vs_eta_vs_pt");
 446   h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
 447   h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
 448   h2D->GetZaxis()->SetTitle("rms_dca_r (cm)");
 449   sprintf(title,"rms_dca_r (cm) vs %s vs %s",fDCAHisto->GetAxis(2)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle());
 450   h2D->SetTitle(title);
 451   aFolderObj->Add(h2D);
 452
 453   //
 454   h3D = fDCAHisto->Projection(2,3,1);
 455   h3D->SetName("dca_z_vs_eta_vs_pt");
 456
 457   h2D = MakeStat2D(h3D,0,0,0);
 458   h2D->SetName("mean_dca_z_vs_eta_vs_pt");
 459   h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
 460   h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
 461   h2D->GetZaxis()->SetTitle("mean_dca_z (cm)");
 462   sprintf(title,"mean_dca_z (cm) vs %s vs %s",fDCAHisto->GetAxis(2)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle());
 463   h2D->SetTitle(title);
 464   aFolderObj->Add(h2D);
 465
 466   h2D = MakeStat2D(h3D,0,0,1);
 467   h2D->SetName("rms_dca_z_vs_eta_vs_pt");
 468   h2D->GetXaxis()->SetTitle(fDCAHisto->GetAxis(2)->GetTitle());
 469   h2D->GetYaxis()->SetTitle(fDCAHisto->GetAxis(3)->GetTitle());
 470   h2D->GetZaxis()->SetTitle("rms_dca_z (cm)");
 471   sprintf(title,"rms_dca_z (cm) vs %s vs %s",fDCAHisto->GetAxis(2)->GetTitle(),fDCAHisto->GetAxis(3)->GetTitle());
 472   h2D->SetTitle(title);
 473   aFolderObj->Add(h2D);
 474   */
 475
 476
 477
 478
 479
 480
 481
 482   // export objects to analysis folder
 483   fAnalysisFolder = ExportToFolder(aFolderObj);
 484
 485   // delete only TObjArray
 486   if(aFolderObj) delete aFolderObj;
 487 }
 488
 489 //_____________________________________________________________________________
 490 TH1F* AliPerformanceDCA::MakeStat1D(TH2 *hist, Int_t delta0, Int_t type)
 491 {
 492   // Return TH1F histogram
 493   // delta - number of bins to integrate
 494   // with mean (type == 0) or RMS (type==1)
 495
 496   char hname[256];
 497   const char* suffix = "_stat1d";
 498   sprintf(hname,"%s%s",hist->GetName(),suffix);
 499   TAxis* xaxis = hist->GetXaxis();
 500   Int_t  nbinx = xaxis->GetNbins();
 501
 502   TH1F *hnew = (TH1F*)hist->ProjectionX()->Clone();
 503   hnew->SetName(hname);
 504
 505   char name[256];
 506   for (Int_t ix=0; ix<=nbinx;ix++) {
 507     sprintf(name,"%s_%d",hist->GetName(),ix);
 508     TH1 *projection = hist->ProjectionY(name,ix-delta0,ix+delta0);
 509
 510     Float_t stat= 0., stat_err =0.;
 511     if (type==0) { stat = projection->GetMean(); stat_err = projection->GetMeanError(); }
 512     if (type==1) { stat = projection->GetRMS(); stat_err = projection->GetRMSError(); }
 513
 514     hnew->SetBinContent(ix, stat);
 515     hnew->SetBinError(ix, stat_err);
 516   }
 517
 518 return hnew;
 519 }
 520
 521 //_____________________________________________________________________________
 522 TH2F* AliPerformanceDCA::MakeStat2D(TH3 *hist, Int_t delta0, Int_t delta1, Int_t type)
 523 {
 524   // Return TH1F histogram
 525   // delta0 - number of bins to integrate in x
 526   // delta1 - number of bins to integrate in y
 527   // with mean (type==0) or RMS (type==1)
 528
 529   char hname[256];
 530   const char* suffix = "_stat2d";
 531   sprintf(hname,"%s%s",hist->GetName(),suffix);
 532
 533   TAxis* xaxis = hist->GetXaxis();
 534   Int_t  nbinx = xaxis->GetNbins();
 535
 536   TH2F *hnew = (TH2F*)hist->Project3D("yx")->Clone();
 537   hnew->SetName(hname);
 538
 539   TAxis* yaxis = hist->GetYaxis();
 540   Int_t  nbiny = yaxis->GetNbins();
 541
 542   char name[256];
 543   for (Int_t ix=0; ix<=nbinx;ix++) {
 544     for (Int_t iy=0; iy<=nbiny;iy++) {
 545       sprintf(name,"%s_%d_%d",hist->GetName(),ix,iy);
 546       TH1 *projection = hist->ProjectionZ(name,ix-delta0,ix+delta0,iy-delta1,iy+delta1);
 547
 548       Float_t stat= 0., stat_err =0.;
 549       if (type==0) { stat = projection->GetMean(); stat_err = projection->GetMeanError(); }
 550       if (type==1) { stat = projection->GetRMS(); stat_err = projection->GetRMSError(); }
 551
 552       hnew->SetBinContent(ix,iy,stat);
 553       hnew->SetBinError(ix,iy,stat_err);
 554     }
 555   }
 556
 557 return hnew;
 558 }
 559
 560 //_____________________________________________________________________________
 561 TFolder* AliPerformanceDCA::ExportToFolder(TObjArray * array)
 562 {
 563   // recreate folder avery time and export objects to new one
 564   //
 565   AliPerformanceDCA * comp=this;
 566   TFolder *folder = comp->GetAnalysisFolder();
 567
 568   TString name, title;
 569   TFolder *newFolder = 0;
 570   Int_t i = 0;
 571   Int_t size = array->GetSize();
 572
 573   if(folder) {
 574      // get name and title from old folder
 575      name = folder->GetName();
 576      title = folder->GetTitle();
 577
 578          // delete old one
 579      delete folder;
 580
 581          // create new one
 582      newFolder = CreateFolder(name.Data(),title.Data());
 583      newFolder->SetOwner();
 584
 585          // add objects to folder
 586      while(i < size) {
 587            newFolder->Add(array->At(i));
 588            i++;
 589          }
 590   }
 591
 592 return newFolder;
 593 }
 594
 595 //_____________________________________________________________________________
 596 TFolder* AliPerformanceDCA::CreateFolder(TString name,TString title) {
 597 // create folder for analysed histograms
 598 TFolder *folder = 0;
 599   folder = new TFolder(name.Data(),title.Data());
 600
 601   return folder;
 602 }