TOF/macrosQA/MakeTrendingTOFQA.C

   1 /*
   2 fbellini@cern.ch, last update on 09/01/2012
   3 - added flag for displaying reduced n. of trending plots
   4 - now producing tree run by run
   5 - new method to produce trending plots from list of trees
   6 */
   7
   8 Int_t MakeTrendingTOFQA(char * runlist, Int_t year=2011, char *period="LHC11h", char* pass="pass1", Int_t trainId=0, Bool_t displayAll=kFALSE){
   9         Int_t filesCounter=0;
  10
  11         if (!runlist) {
  12                 printf("Invalid list of runs given as input: nothing done\n");
  13                 return 1;
  14         }
  15         Int_t runNumber;
  16         char infile[300];
  17         char postFileName[20];
  18         char treePostFileName[20];
  19
  20         char trendFileName[100];
  21         //Define trending output
  22         if (trainId==0){
  23                 sprintf(trendFileName,"treeTOFQA_%s_%s.root",period,pass);
  24         }else{
  25                 sprintf(trendFileName,"treeTOFQA_QA%i_%s_%s.root",trainId,period,pass);
  26         }
  27         TFile * trendFile=new TFile(trendFileName,"recreate");
  28         FILE * files = fopen(runlist, "r") ;
  29
  30         //create chain of treePostQA
  31         Long64_t nentries=100000, firstentry=0;
  32         TChain *chainTree = 0;
  33         chainTree=new TChain("trendTree");
  34
  35         while (fscanf(files,"%d",&runNumber)==1 ){
  36
  37           //get QAtrain output
  38           if (trainId==0){
  39             sprintf(infile,"alien:///alice/data/%i/%s/000%d/ESDs/%s/QAresults.root",year,period,runNumber,pass);
  40           } else{
  41             sprintf(infile,"alien:///alice/data/%i/%s/000%d/ESDs/%s/QA%i/QAresults.root",year,period,runNumber,pass,trainId);
  42           }
  43           Printf("============== Opening QA file(s) for run %i =======================\n",runNumber);
  44
  45           //run post-analysis
  46           if (RunESDQApostAnalysis(infile,runNumber,kTRUE)==0){
  47             filesCounter++;
  48             sprintf(postFileName,"postQA_%i.root",runNumber);
  49             sprintf(treePostFileName,"treePostQA_%i.root",runNumber);
  50
  51             if (MakePostQAtree(runNumber, postFileName, treePostFileName)==0){
  52               chainTree->Add(treePostFileName);
  53               Printf("Tree chain has now %d entries ",(Int_t)chainTree->GetEntries());
  54             } else {
  55               Printf("Could not get tree with trending quantities for run %i: SKIPPING",runNumber);
  56             }
  57           } else
  58             Printf("Post analysis not run on QA output %s", infile);
  59         }
  60         return  MakeTrendingFromTreeWithErrors(chainTree, trendFileName, displayAll);
  61 }
  62 //-----------------------------------------------------------
  63 Int_t MakeTrendingHistoFromTreeList(char * fileList,  Bool_t displayAll=kFALSE){
  64
  65         Int_t filesCounter=0;
  66
  67         if (!fileList) {
  68                 printf("Invalid list of runs given as input: nothing done\n");
  69                 return 1;
  70         }
  71         char infile[300];
  72         char trendFileName[100];
  73         //Define trending output
  74         sprintf(trendFileName,"trendingHistoTOFQA_%s.root",fileList);
  75         TFile * trendFile=new TFile(trendFileName,"recreate");
  76         FILE * files = fopen(fileList, "r") ;
  77
  78         //create chain of treePostQA
  79         Long64_t nentries=100000, firstentry=0;
  80         TChain *chainTree =new TChain("trendTree");
  81
  82         while (fscanf(files,"%s",&infile)==1 ){
  83           if (!TFile::Open(infile,"r"))
  84             Printf("Error: cannot open file %s", infile);
  85           Printf("============== Adding QA tree file %s to the chain",infile);
  86           filesCounter++;
  87           chainTree->Add(infile);
  88         }
  89         return  MakeTrendingFromTreeWithErrors(chainTree, trendFileName, displayAll);
  90 }
  91
  92 //______________________________________________________________________________
  93 Int_t MakeTrendingFromTreeWithErrors(TChain * fin,char* trendFileName=NULL, Bool_t displayAll=kFALSE){
  94
  95         if (!trendFileName)
  96                 return 3;
  97
  98         if (!fin)
  99                 return 4;
 100
 101         Int_t runNumber;
 102         Double_t avTime=0., peakTime=0., spreadTime=0., peakTimeErr=0., spreadTimeErr=0.,negTimeRatio=0.,
 103                 avRawTime=0., peakRawTime=0., spreadRawTime=0., peakRawTimeErr=0., spreadRawTimeErr=0.,
 104                 avTot=0., peakTot=0.,spreadTot=0.,  peakTotErr=0.,spreadTotErr=0.,
 105                 orphansRatio=0., avL=0., negLratio=0.,
 106                 effPt1=0., effPt2=0., matchEffLinFit1Gev=0.,matchEffLinFit1GevErr=0.;
 107         Double_t avDiffTime=0.,peakDiffTime=0., spreadDiffTime=0.,peakDiffTimeErr=0., spreadDiffTimeErr=0.,avT0fillRes=0.;
 108
 109         Double_t avT0A=0.,peakT0A=0., spreadT0A=0.,peakT0AErr=0., spreadT0AErr=0.;
 110         Double_t avT0C=0.,peakT0C=0., spreadT0C=0.,peakT0CErr=0., spreadT0CErr=0.;
 111         Double_t avT0AC=0.,peakT0AC=0., spreadT0AC=0.,peakT0ACErr=0., spreadT0ACErr=0.;
 112         Double_t avT0res=0.,peakT0res=0., spreadT0res=0.,peakT0resErr=0., spreadT0resErr=0.;
 113         Int_t avMulti=0;
 114         Float_t fractionEventsWHits=0;
 115
 116         TTree * ttree = (TTree*) fin->CloneTree();
 117         ttree->SetBranchAddress("run",&runNumber);
 118
 119         ttree->SetBranchAddress("avTime",&avTime); //mean time
 120         ttree->SetBranchAddress("peakTime",&peakTime); //main peak time after fit
 121         ttree->SetBranchAddress("spreadTime",&spreadTime); //spread of main peak of time after fit
 122         ttree->SetBranchAddress("peakTimeErr",&peakTimeErr); //main peak time after fit error
 123         ttree->SetBranchAddress("spreadTimeErr",&spreadTimeErr); //spread of main peak of time after fit error
 124
 125         ttree->SetBranchAddress("negTimeRatio",&negTimeRatio); //negative time ratio
 126
 127         ttree->SetBranchAddress("avRawTime",&avRawTime); //mean raw time
 128         ttree->SetBranchAddress("peakRawTime",&peakRawTime); //mean peak of raw time after fit
 129         ttree->SetBranchAddress("spreadRawTime",&spreadRawTime); //spread of main peak of raw time after fit
 130         ttree->SetBranchAddress("peakRawTimeErr",&peakRawTimeErr); //main peak raw  time after fit error
 131         ttree->SetBranchAddress("spreadRawTimeErr",&spreadRawTimeErr); //spread of  raw main peak of time after fit error
 132
 133         ttree->SetBranchAddress("avTot",&avTot); //main peak tot
 134         ttree->SetBranchAddress("peakTot",&peakTot); // main peak of tot after fit
 135         ttree->SetBranchAddress("spreadTot",&spreadTot); //spread of main peak of tot after fit
 136         ttree->SetBranchAddress("peakTotErr",&peakTotErr); // main peak of tot after fit
 137         ttree->SetBranchAddress("spreadTotErr",&spreadTotErr); //spread of main peak of tot after fit
 138
 139         ttree->SetBranchAddress("orphansRatio",&orphansRatio); //orphans ratio
 140
 141         ttree->SetBranchAddress("avL",&avL); //mean track length
 142         ttree->SetBranchAddress("negLratio",&negLratio);//ratio of tracks with track length <350 cm
 143
 144         ttree->SetBranchAddress("effPt1",&effPt1);//matching eff at 1 GeV/c
 145         ttree->SetBranchAddress("effPt2",&effPt2); //matching eff at 2 GeV/c
 146         ttree->SetBranchAddress("matchEffLinFit1Gev",&matchEffLinFit1Gev);//matching eff fit param
 147         ttree->SetBranchAddress("matchEffLinFit1GevErr",&matchEffLinFit1GevErr);////matching eff fit param error
 148
 149         ttree->SetBranchAddress("avPiDiffTime",&avDiffTime); //mean t-texp
 150         ttree->SetBranchAddress("peakPiDiffTime",&peakDiffTime); //main peak t-texp after fit
 151         ttree->SetBranchAddress("spreadPiDiffTime",&spreadDiffTime); //spread of main peak t-texp after fit
 152         ttree->SetBranchAddress("peakPiDiffTimeErr",&peakDiffTimeErr); //main peak t-texp after fit error
 153         ttree->SetBranchAddress("spreadPiDiffTimeErr",&spreadDiffTimeErr); //spread of main peak of t-texp after fit error
 154
 155         ttree->SetBranchAddress("avT0A",&avT0A); //main peak t0A
 156         ttree->SetBranchAddress("peakT0A",&peakT0A); // main peak of t0A after fit
 157         ttree->SetBranchAddress("spreadT0A",&spreadT0A); //spread of main peak of t0A after fit
 158         ttree->SetBranchAddress("peakT0AErr",&peakT0AErr); // main peak of t0A after fit
 159         ttree->SetBranchAddress("spreadT0AErr",&spreadT0AErr); //spread of main peak of t0A after fit
 160
 161         ttree->SetBranchAddress("avT0C",&avT0C); //main peak t0C
 162         ttree->SetBranchAddress("peakT0C",&peakT0C); // main peak of t0C after fit
 163         ttree->SetBranchAddress("spreadT0C",&spreadT0C); //spread of main peak of t0C after fit
 164         ttree->SetBranchAddress("peakT0CErr",&peakT0CErr); // main peak of t0C after fit
 165         ttree->SetBranchAddress("spreadT0CErr",&spreadT0CErr); //spread of main peak of t0C after fit
 166
 167         ttree->SetBranchAddress("avT0AC",&avT0AC); //main peak t0AC
 168         ttree->SetBranchAddress("peakT0AC",&peakT0AC); // main peak of t0AC after fit
 169         ttree->SetBranchAddress("spreadT0AC",&spreadT0AC); //spread of main peak of t0AC after fit
 170         ttree->SetBranchAddress("peakT0ACErr",&peakT0ACErr); // main peak of t0AC after fit
 171         ttree->SetBranchAddress("spreadT0ACErr",&spreadT0ACErr); //spread of main peak of t0AC after fit
 172
 173         ttree->SetBranchAddress("avT0res",&avT0res); //main peak t0AC
 174         ttree->SetBranchAddress("peakT0res",&peakT0res); // main peak of t0AC after fit
 175         ttree->SetBranchAddress("spreadT0res",&spreadT0res); //spread of main peak of t0AC after fit
 176         ttree->SetBranchAddress("peakT0resErr",&peakT0resErr); // main peak of t0AC after fit
 177         ttree->SetBranchAddress("spreadT0resErr",&spreadT0resErr); //spread of main peak of t0AC after fit
 178         ttree->SetBranchAddress("avT0fillRes",&avT0fillRes); //t0 fill res
 179
 180         Int_t nRuns=ttree->GetEntries();
 181         TList lista;
 182
 183         TH1F * hAvDiffTimeVsRun=new TH1F("hAvDiffTimeVsRun","Mean t-t_{exp} (no fit);run;<t^{TOF}-t_{exp,#pi}> (ps)",nRuns,0., nRuns);//, 600, 0. , 600.);
 184         hAvDiffTimeVsRun->SetDrawOption("E1");
 185         hAvDiffTimeVsRun->SetMarkerStyle(20);
 186         hAvDiffTimeVsRun->SetMarkerColor(kBlue);
 187         //   hAvTimeVsRun->GetYaxis()->SetRangeUser(0.0, 50.0);
 188
 189         TH1F * hPeakDiffTimeVsRun=new TH1F("hPeakDiffTimeVsRun","t-t_{exp} (gaussian fit) ;run; <t^{TOF}-t_{exp,#pi}> (ps)",nRuns,0., nRuns);//,600, 0. , 600. );
 190         hPeakDiffTimeVsRun->SetDrawOption("E1");
 191         hPeakDiffTimeVsRun->SetMarkerStyle(20);
 192         hPeakDiffTimeVsRun->SetMarkerColor(kBlue);
 193
 194         TH1F * hSpreadDiffTimeVsRun=new TH1F("hSpreadDiffTimeVsRun","#sigma(t-t_{exp}) (gaussian fit);run; #sigma(t^{TOF}-t_{exp,#pi}) (ns)",nRuns,0., nRuns);//, 100, 0. , 100.);
 195         hSpreadDiffTimeVsRun->SetDrawOption("E1");
 196         hSpreadDiffTimeVsRun->SetMarkerStyle(20);
 197         hSpreadDiffTimeVsRun->SetMarkerColor(kBlue);
 198
 199         TH1F * hAvTimeVsRun=new TH1F("hAvTimeVsRun","<t^{TOF}>;run;<t^{TOF}> (ns)",nRuns,0., nRuns);//, 600, 0. , 600.);
 200         hAvTimeVsRun->SetDrawOption("E1");
 201         hAvTimeVsRun->SetMarkerStyle(20);
 202         hAvTimeVsRun->SetMarkerColor(kBlue);
 203         //   hAvTimeVsRun->GetYaxis()->SetRangeUser(0.0, 50.0);
 204
 205         TH1F * hPeakTimeVsRun=new TH1F("hPeakTimeVsRun","Peak value of t^{TOF} (landau fit);run;t_{peak}^{TOF} (ns)",nRuns,0., nRuns);//,600, 0. , 600. );
 206         hPeakTimeVsRun->SetDrawOption("E1");
 207         hPeakTimeVsRun->SetMarkerStyle(20);
 208         hPeakTimeVsRun->SetMarkerColor(kBlue);
 209
 210         TH1F * hSpreadTimeVsRun=new TH1F("hSpreadTimeVsRun","Spread of t^{TOF} (landau fit);run; #sigma(t^{TOF}) (ns)",nRuns,0., nRuns);//, 100, 0. , 100.);
 211         hSpreadTimeVsRun->SetDrawOption("E1");
 212         hSpreadTimeVsRun->SetMarkerStyle(20);
 213         hSpreadTimeVsRun->SetMarkerColor(kBlue);
 214
 215         TH1F * hAvRawTimeVsRun=new TH1F("hAvRawTimeVsRun","Peak value of raw t^{TOF};run;<t_{raw}^{TOF}> (ns)",nRuns,0., nRuns);//, 600, 0. , 600.);
 216         hAvRawTimeVsRun->SetDrawOption("E1");
 217         hAvRawTimeVsRun->SetMarkerStyle(21);
 218         hAvRawTimeVsRun->SetMarkerColor(kGreen);
 219
 220         TH1F * hPeakRawTimeVsRun=new TH1F("hPeakRawTimeVsRun","Peak value of raw t^{TOF} (landau fit);run;t_{peak,raw}^{TOF} (ns)",nRuns,0., nRuns);//, 600, 0. , 600.);
 221         hPeakRawTimeVsRun->SetDrawOption("E1");
 222         hPeakRawTimeVsRun->SetMarkerStyle(21);
 223         hPeakRawTimeVsRun->SetMarkerColor(kGreen);
 224
 225         TH1F * hSpreadRawTimeVsRun=new TH1F("hSpreadRawTimeVsRun","Spread of raw t^{TOF} (landau fit);run;#sigma(t_{raw}^{TOF}) (ns)",nRuns,0., nRuns);//, 100, 0. , 100.);
 226         hSpreadRawTimeVsRun->SetDrawOption("E1");
 227         hSpreadRawTimeVsRun->SetMarkerStyle(21);
 228         hSpreadRawTimeVsRun->SetMarkerColor(kGreen);
 229
 230         TH1F * hAvTotVsRun=new TH1F("hAvTotVsRun","<ToT> (no fit);run;<ToT> (ns)",nRuns,0., nRuns);//, 50, 0. , 50.);
 231         hAvTotVsRun->SetDrawOption("E1");
 232         hAvTotVsRun->SetMarkerStyle(22);
 233
 234         TH1F * hPeakTotVsRun=new TH1F("hPeakTotVsRun","<ToT> (gaussian fit);run;ToT_{peak} (ns)",nRuns,0., nRuns);//, 50, 0. , 50.);
 235         hPeakTotVsRun->SetDrawOption("E1");
 236         hPeakTotVsRun->SetMarkerStyle(22);
 237
 238         TH1F * hSpreadTotVsRun=new TH1F("hSpreadTotVsRun","#sigma(ToT) (gaussian fit);#sigma(ToT) (ns)",nRuns,0., nRuns);//, 50, 0. , 50.);
 239         hSpreadTotVsRun->SetDrawOption("E1");
 240         hSpreadTotVsRun->SetMarkerStyle(22);
 241
 242         TH1F * hNegTimeRatioVsRun=new TH1F("hNegTimeRatioVsRun","Ratio of tracks with t^{TOF}<12.5 ns; run; ratio of tracks with t^{TOF}<12.5 ns (%)",nRuns, 0., nRuns);//, 100, 0. , 100.);
 243         hNegTimeRatioVsRun->SetDrawOption("E");
 244
 245         TH1F * hOrphansRatioVsRun=new TH1F("hOrphansRatioVsRun","Ratio of orphans (hits with ToT=0); run; ratio of orphans (%)",nRuns, 0., nRuns);//, 1000, 0. , 100.);
 246         hOrphansRatioVsRun->SetDrawOption("E");
 247
 248         TH1F * hMeanLVsRun=new TH1F("hMeanLVsRun","Average track length;run; <L> (cm)",nRuns, 0., nRuns);//, 350, 350. , 700.);
 249         hMeanLVsRun->SetDrawOption("E");
 250         TH1F * hNegLRatioVsRun=new TH1F("hNegLRatioVsRun","Ratio of tracks with L<350 cm;run; ratio of tracks with L<350 cm (%)",nRuns, 0., nRuns);//, 1000, 0. , 100.);
 251         hNegLRatioVsRun->SetDrawOption("E");
 252         TH1F * hMatchEffVsRun=new TH1F("hMatchEffVsRun","Matching efficiency (linear fit for p_{T}>1.0 GeV/c);run;matching efficiency (pT>1.0 GeV/c)",nRuns, 0., nRuns);//, 100, 0. , 1.);
 253         hMatchEffVsRun->SetDrawOption("E");
 254         TH1F * hMatchEffVsRun1=new TH1F("hMatchEffVsRun1","Matching efficiency (value for p_{T}=1.0 GeV/c);run;matching efficiency (pT=1.0 GeV/c)",nRuns, 0., nRuns);
 255         hMatchEffVsRun1->SetDrawOption("E");
 256         TH1F * hPeakT0AVsRun=new TH1F("hPeakT0AVsRun","Peak value of T0A (gaussian fit);run;t0A (ps)",nRuns,0., nRuns);
 257         TH1F * hPeakT0CVsRun=new TH1F("hPeakT0CVsRun","Peak value of T0C (gaussian fit);run;t0AC (ps)",nRuns,0., nRuns);
 258         TH1F * hPeakT0ACVsRun=new TH1F("hPeakT0ACVsRun","Peak value of T0AC (gaussian fit);run;t0AC (ps)",nRuns,0., nRuns);
 259         TH1F * hT0fillResVsRun=new TH1F("hT0fillResVsRun","t0_fill spread;run;t0_spread (ps)",nRuns,0., nRuns);
 260
 261         lista.Add(hAvDiffTimeVsRun);
 262         lista.Add(hPeakDiffTimeVsRun);
 263         lista.Add(hSpreadDiffTimeVsRun);
 264         lista.Add(hAvTimeVsRun);
 265         lista.Add(hPeakTimeVsRun);
 266         lista.Add(hSpreadTimeVsRun);
 267         lista.Add(  hAvRawTimeVsRun);
 268         lista.Add(  hPeakRawTimeVsRun);
 269         lista.Add(  hSpreadRawTimeVsRun);
 270         lista.Add(  hAvTotVsRun);
 271         lista.Add(  hPeakTotVsRun);
 272         lista.Add(  hSpreadTotVsRun);
 273         lista.Add(  hNegTimeRatioVsRun);
 274         lista.Add(  hOrphansRatioVsRun);
 275         lista.Add( hMeanLVsRun);
 276         lista.Add(  hNegLRatioVsRun);
 277         lista.Add(  hMatchEffVsRun);
 278         lista.Add(hPeakT0AVsRun);
 279         lista.Add(hPeakT0CVsRun);
 280         lista.Add(hPeakT0ACVsRun);
 281         lista.Add(hT0fillResVsRun);
 282         char runlabel[6];
 283
 284         for (Int_t irun=0;irun<nRuns;irun++){
 285                 ttree->GetEntry(irun);
 286
 287                 sprintf(runlabel,"%i",runNumber);
 288
 289                 hAvDiffTimeVsRun->SetBinContent(irun+1, avDiffTime);
 290                 hAvDiffTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 291
 292                 hPeakDiffTimeVsRun->SetBinContent(irun+1,peakDiffTime);
 293                 hPeakDiffTimeVsRun->SetBinError(irun+1,peakDiffTimeErr);
 294                 hPeakDiffTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 295
 296                 hSpreadDiffTimeVsRun->SetBinContent(irun+1,spreadDiffTime);
 297                 hSpreadDiffTimeVsRun->SetBinError(irun+1,spreadDiffTimeErr);
 298                 hSpreadDiffTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 299
 300                 hAvTimeVsRun->SetBinContent(irun+1, avTime);
 301                 hAvTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 302
 303                 hPeakTimeVsRun->SetBinContent(irun+1,peakTime);
 304                 hPeakTimeVsRun->SetBinError(irun+1,peakTimeErr);
 305                 hPeakTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 306
 307                 hSpreadTimeVsRun->SetBinContent(irun+1,spreadTime);
 308                 hSpreadTimeVsRun->SetBinError(irun+1,spreadTimeErr);
 309                 hSpreadTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 310
 311                 hAvRawTimeVsRun->SetBinContent(irun+1, avRawTime);
 312                 hAvRawTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 313
 314                 hPeakRawTimeVsRun->SetBinContent(irun+1,peakRawTime);
 315                 hPeakRawTimeVsRun->SetBinError(irun+1,peakRawTimeErr);
 316                 hPeakRawTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 317
 318                 hSpreadRawTimeVsRun->SetBinContent(irun+1,spreadRawTime);
 319                 hSpreadRawTimeVsRun->SetBinError(irun+1,spreadRawTimeErr);
 320                 hSpreadRawTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 321
 322                 hAvTotVsRun->SetBinContent(irun+1,avTot);
 323                 hAvTotVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 324
 325                 hPeakTotVsRun->SetBinContent(irun+1,peakTot);
 326                 hPeakTotVsRun->SetBinError(irun+1,peakTotErr);
 327                 hPeakTotVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 328
 329                 hSpreadTotVsRun->SetBinContent(irun+1,spreadTot);
 330                 hSpreadTotVsRun->SetBinError(irun+1,spreadTotErr);
 331                 hSpreadTotVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 332
 333                 hNegTimeRatioVsRun->SetBinContent(irun+1,negTimeRatio);
 334                 hNegTimeRatioVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 335
 336                 hOrphansRatioVsRun->SetBinContent(irun+1,orphansRatio);
 337                 hOrphansRatioVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 338
 339                 hMeanLVsRun->SetBinContent(irun+1,avL);
 340                 hMeanLVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 341
 342                 hNegLRatioVsRun->SetBinContent(irun+1,negLratio);
 343                 hNegLRatioVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 344
 345                 hMatchEffVsRun->SetBinContent(irun+1,matchEffLinFit1Gev);
 346                 hMatchEffVsRun->SetBinError(irun+1,matchEffLinFit1GevErr);
 347                 hMatchEffVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 348
 349                 hPeakT0AVsRun->SetBinContent(irun+1,peakT0A);
 350                 hPeakT0AVsRun->SetBinError(irun+1,spreadT0A);
 351                 hPeakT0AVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 352
 353                 hPeakT0CVsRun->SetBinContent(irun+1,peakT0C);
 354                 hPeakT0CVsRun->SetBinError(irun+1,spreadT0C);
 355                 hPeakT0CVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 356
 357                 hPeakT0ACVsRun->SetBinContent(irun+1,peakT0AC);
 358                 hPeakT0ACVsRun->SetBinError(irun+1,spreadT0AC);
 359                 hPeakT0ACVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 360
 361                 hT0fillResVsRun->SetBinContent(irun+1,avT0fillRes);
 362                 hT0fillResVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 363
 364         }
 365
 366         char  outfilename[200];
 367         sprintf(outfilename, "trend_%s",trendFileName);
 368         TFile * fout=new TFile(outfilename,"recreate");
 369         fout->cd();
 370         lista.Write();
 371         fout->Close();
 372
 373         TString plotDir(Form("PlotsTrending"));
 374         gSystem->Exec(Form("mkdir %s",plotDir.Data()));
 375
 376         TCanvas* cPeakDiffTimeVsRun = new TCanvas("cPeakDiffTimeVsRun","cPeakDiffTimeVsRun", 50,50,750,550);
 377         hPeakDiffTimeVsRun->Draw();
 378         cPeakDiffTimeVsRun->Print(Form("%s/cPeakDiffTimeVsRun.png",plotDir.Data()));
 379
 380         TCanvas* cSpreadDiffTimeVsRun = new TCanvas("cSpreadDiffTimeVsRun","cSpreadDiffTimeVsRun", 50,50,750,550);
 381         hSpreadDiffTimeVsRun->Draw();
 382         cSpreadDiffTimeVsRun->Print(Form("%s/cSpreadDiffTimeVsRun.png",plotDir.Data()));
 383
 384         TCanvas* cMatchEffVsRun = new TCanvas("cMatchEffVsRun","cMatchEffVsRun", 50,50,750,550);
 385         hMatchEffVsRun->Draw();
 386         cMatchEffVsRun->Print(Form("%s/cMatchEffVsRun.png",plotDir.Data()));
 387
 388         TCanvas* cPeakT0AVsRun = new TCanvas("cPeakT0AVsRun","cPeakT0AVsRun", 50,50,750,550);
 389         hPeakT0AVsRun->Draw();
 390         cPeakT0AVsRun->Print(Form("%s/cPeakT0AVsRun.png",plotDir.Data()));
 391
 392         TCanvas* cPeakT0CVsRun = new TCanvas("cPeakT0CVsRun","cPeakT0CVsRun", 50,50,750,550);
 393         hPeakT0CVsRun->Draw();
 394         cPeakT0CVsRun->Print(Form("%s/cPeakT0CVsRun.png",plotDir.Data()));
 395
 396         TCanvas* cPeakT0ACVsRun = new TCanvas("cPeakT0ACVsRun","cPeakT0ACVsRun", 50,50,750,550);
 397         hPeakT0ACVsRun->Draw();
 398         cPeakT0ACVsRun->Print(Form("%s/cPeakT0ACVsRun.png",plotDir.Data()));
 399
 400         TCanvas* cT0fillResVsRun = new TCanvas("cT0fillResVsRun","cT0fillResVsRun", 50,50,750,550);
 401         hT0fillResVsRun->Draw();
 402         cT0fillResVsRun->Print(Form("%s/cT0fillResVsRun.png",plotDir.Data()));
 403
 404         if (displayAll) {
 405           TCanvas* cAvDiffTimeVsRun = new TCanvas("cAvDiffTimeVsRun","cAvDiffTimeVsRun",50,50,750,550);
 406           gPad->SetGridx();
 407           gPad->SetGridy();
 408           hAvDiffTimeVsRun->Draw();
 409           cAvDiffTimeVsRun->Print(Form("%s/cAvDiffTimeVsRun.png",plotDir.Data()));
 410
 411           TCanvas* cAvTimeVsRun = new TCanvas("cAvTimeVsRun","cAvTimeVsRun", 50,50,750,550);
 412           hAvTimeVsRun->Draw();
 413           cAvTimeVsRun->Print(Form("%s/cAvTimeVsRun.png",plotDir.Data()));
 414
 415           TCanvas* cPeakTimeVsRun = new TCanvas("cPeakTimeVsRun","cPeakTimeVsRun", 50,50,750,550);
 416           hPeakTimeVsRun->Draw();
 417           cPeakTimeVsRun->Print(Form("%s/cPeakTimeVsRun.png",plotDir.Data()));
 418
 419           TCanvas* cSpreadTimeVsRun = new TCanvas("cSpreadTimeVsRun","cSpreadTimeVsRun", 50,50,750,550);
 420           hSpreadTimeVsRun->Draw();
 421           cSpreadTimeVsRun->Print(Form("%s/cSpreadTimeVsRun.png",plotDir.Data()));
 422
 423           TCanvas* cAvRawTimeVsRun = new TCanvas("cAvRawTimeVsRun","cAvRawTimeVsRun", 50,50,750,550);
 424           hAvRawTimeVsRun->Draw();
 425           cAvRawTimeVsRun->Print(Form("%s/cAvRawTimeVsRun.png",plotDir.Data()));
 426
 427           TCanvas* cPeakRawTimeVsRun = new TCanvas("cPeakRawTimeVsRun","cPeakRawTimeVsRun", 50,50,750,550);
 428           hPeakRawTimeVsRun->Draw();
 429           cPeakRawTimeVsRun->Print(Form("%s/cPeakRawTimeVsRun.png",plotDir.Data()));
 430
 431           TCanvas* cSpreadRawTimeVsRun = new TCanvas("cSpreadRawTimeVsRun","cSpreadRawTimeVsRun", 50,50,750,550);
 432           hSpreadRawTimeVsRun->Draw();
 433           cSpreadRawTimeVsRun->Print(Form("%s/cSpreadRawTimeVsRun.png",plotDir.Data()));
 434
 435           TCanvas* cAvTotVsRun = new TCanvas("cAvTotVsRun","cAvTotVsRun", 50,50,750,550);
 436           hAvTotVsRun->Draw();
 437           cAvTotVsRun->Print(Form("%s/cAvTotVsRun.png",plotDir.Data()));
 438
 439           TCanvas* cPeakTotVsRun = new TCanvas("cPeakTotVsRun","cPeakTotVsRun", 50,50,750,550);
 440           hPeakTotVsRun->Draw();
 441           cPeakTotVsRun->Print(Form("%s/cPeakTotVsRun.png",plotDir.Data()));
 442
 443           TCanvas* cSpreadTotVsRun = new TCanvas("cSpreadTotVsRun","cSpreadTotVsRun", 50,50,750,550);
 444           hSpreadTotVsRun->Draw();
 445           cSpreadTotVsRun->Print(Form("%s/cSpreadTotVsRun.png",plotDir.Data()));
 446
 447           TCanvas* cNegTimeRatioVsRun = new TCanvas("cNegTimeRatioVsRun","cNegTimeRatioVsRun", 50,50,750,550);
 448           hNegTimeRatioVsRun->Draw();
 449           cNegTimeRatioVsRun->Print(Form("%s/cNegTimeRatioVsRun.png",plotDir.Data()));
 450
 451           TCanvas* cOrphansRatioVsRun = new TCanvas("cOrphansRatioVsRun","cOrphansRatioVsRun", 50,50,750,550);
 452           hOrphansRatioVsRun->Draw();
 453           cOrphansRatioVsRun->Print(Form("%s/cOrphansRatioVsRun.png",plotDir.Data()));
 454
 455           TCanvas* cMeanLVsRun = new TCanvas("cMeanLVsRun","cMeanLVsRun", 50,50,750,550);
 456           hMeanLVsRun->Draw();
 457           cMeanLVsRun->Print(Form("%s/cMeanLVsRun.png",plotDir.Data()));
 458
 459           TCanvas* cNegLRatioVsRun = new TCanvas("cNegLRatioVsRun","cNegLRatioVsRun", 50,50,750,550);
 460           hNegLRatioVsRun->Draw();
 461           cNegLRatioVsRun->Print(Form("%s/cNegLRatioVsRun.png",plotDir.Data()));
 462         }
 463
 464         return 0;
 465 }
 466
 467 //-------------------------------------------------------------------------
 468 Int_t MakePostQAtree(Int_t runNumber, char * postFileName="postQA.0.root",char * treePostFileName="treePostQA.0.root"){
 469
 470        TFile *postfile=TFile::Open(postFileName);
 471        if (!postfile) {
 472           printf("Post-analysis output not found - cannot perform trending analysis. Exiting.");
 473           return -1;
 474         }
 475        Printf("==============  Getting post-analysis info for run %i ===============\n",runNumber);
 476        TFile * trendFile=new TFile(treePostFileName,"recreate");
 477
 478         Double_t avTime=-9999., peakTime=-9999., spreadTime=-9999., peakTimeErr=-9999., spreadTimeErr=-9999., negTimeRatio=-9999.,
 479                 avRawTime=-9999., peakRawTime=-9999., spreadRawTime=-9999., peakRawTimeErr=-9999., spreadRawTimeErr=-9999.,
 480                 avTot=-9999., peakTot=-9999.,spreadTot=-9999.,  peakTotErr=-9999.,spreadTotErr=-9999.,
 481                 orphansRatio=-9999., avL=-9999., negLratio=-9999.,
 482                 effPt1=-9999., effPt2=-9999., matchEffLinFit1Gev=-9999.,matchEffLinFit1GevErr=-9999.;
 483
 484         Double_t avPiDiffTime=-9999.,peakPiDiffTime=-9999., spreadPiDiffTime=-9999.,peakPiDiffTimeErr=-9999., spreadPiDiffTimeErr=-9999.;
 485
 486         Double_t avT0A=-9999.,peakT0A=-9999., spreadT0A=-9999.,peakT0AErr=-9999., spreadT0AErr=-9999.;
 487         Double_t avT0C=-9999.,peakT0C=-9999., spreadT0C=-9999.,peakT0CErr=-9999., spreadT0CErr=-9999.;
 488         Double_t avT0AC=-9999.,peakT0AC=-9999., spreadT0AC=-9999.,peakT0ACErr=-9999., spreadT0ACErr=-9999.;
 489         Double_t avT0res=-9999.,peakT0res=-9999., spreadT0res=-9999.,peakT0resErr=-9999., spreadT0resErr=-9999.;
 490         Double_t avT0fillRes=-9999.;
 491
 492         Int_t avMulti=0;
 493         Float_t fractionEventsWHits=-9999.;
 494
 495         TTree * ttree=new TTree("trendTree","tree of trending variables");
 496         ttree->Branch("run",&runNumber,"run/I");
 497         ttree->Branch("avMulti",&avMulti,"avMulti/I");
 498         ttree->Branch("fractionEventsWHits",&fractionEventsWHits,"fractionEventsWHits/F");
 499         ttree->Branch("avTime",&avTime,"avTime/D"); //mean time
 500         ttree->Branch("peakTime",&peakTime,"peakTime/D"); //main peak time after fit
 501         ttree->Branch("spreadTime",&spreadTime,"spreadTime/D"); //spread of main peak of time after fit
 502         ttree->Branch("peakTimeErr",&peakTimeErr,"peakTimeErr/D"); //main peak time after fit error
 503         ttree->Branch("spreadTimeErr",&spreadTimeErr,"spreadTimeErr/D"); //spread of main peak of time after fit error
 504         ttree->Branch("negTimeRatio",&negTimeRatio,"negTimeRatio/D"); //negative time ratio
 505
 506         ttree->Branch("avRawTime",&avRawTime,"avRawTime/D"); //mean raw time
 507         ttree->Branch("peakRawTime",&peakRawTime,"peakRawTime/D"); //mean peak of RAW TIME after fit
 508         ttree->Branch("spreadRawTime",&spreadRawTime,"spreadRawTime/D"); //spread of main peak of raw time after fit
 509         ttree->Branch("peakRawTimeErr",&peakRawTimeErr,"peakRawTimeErr/D"); //main peak raw  time after fit error
 510         ttree->Branch("spreadRawTimeErr",&spreadRawTimeErr,"spreadRawTimeErr/D"); //spread of  raw main peak of time after fit error
 511
 512         ttree->Branch("avTot",&avTot,"avTot/D"); //main peak tot
 513         ttree->Branch("peakTot",&peakTot,"peakTot/D"); // main peak of tot after fit
 514         ttree->Branch("spreadTot",&spreadTot,"spreadTot/D"); //spread of main peak of tot after fit
 515         ttree->Branch("peakTotErr",&peakTotErr,"peakTotErr/D"); // main peak of tot after fit
 516         ttree->Branch("spreadTotErr",&spreadTotErr,"spreadTotErr/D"); //spread of main peak of tot after fit
 517
 518         ttree->Branch("orphansRatio",&orphansRatio,"orphansRatio/D"); //orphans ratio
 519
 520         ttree->Branch("avL",&avL,"avL/D"); //mean track length
 521         ttree->Branch("negLratio",&negLratio,"negLratio/D");//ratio of tracks with track length <350 cm
 522
 523         ttree->Branch("effPt1",&effPt1,"effPt1/D");//matching eff at 1 GeV/c
 524         ttree->Branch("effPt2",&effPt2,"effPt2/D"); //matching eff at 2 GeV/c
 525         ttree->Branch("matchEffLinFit1Gev",&matchEffLinFit1Gev,"matchEffLinFit1Gev/D");//matching eff fit param
 526         ttree->Branch("matchEffLinFit1GevErr",&matchEffLinFit1GevErr,"matchEffLinFit1GevErr/D");////matching eff fit param error
 527
 528         ttree->Branch("avPiDiffTime",&avPiDiffTime,"avPiDiffTime/D"); //mean t-texp
 529         ttree->Branch("peakPiDiffTime",&peakPiDiffTime,"peakPiDiffTime/D"); //main peak t-texp after fit
 530         ttree->Branch("spreadPiDiffTime",&spreadPiDiffTime,"spreadPiDiffTime/D"); //spread of main peak t-texp after fit
 531         ttree->Branch("peakPiDiffTimeErr",&peakPiDiffTimeErr,"peakPiDiffTimeErr/D"); //main peak t-texp after fit error
 532         ttree->Branch("spreadPiDiffTimeErr",&spreadPiDiffTimeErr,"spreadPiDiffTimeErr/D"); //spread of main peak of t-texp after fit error
 533
 534         ttree->Branch("avT0A",&avT0A,"avT0A/D"); //main peak t0A
 535         ttree->Branch("peakT0A",&peakT0A,"peakT0A/D"); // main peak of t0A after fit
 536         ttree->Branch("spreadT0A",&spreadT0A,"spreadTot/D"); //spread of main peak of t0A after fit
 537         ttree->Branch("peakT0AErr",&peakT0AErr,"peakT0AErr/D"); // main peak of t0A after fit
 538         ttree->Branch("spreadT0AErr",&spreadT0AErr,"spreadT0AErr/D"); //spread of main peak of t0A after fit
 539
 540         ttree->Branch("avT0C",&avT0C,"avT0C/D"); //main peak t0C
 541         ttree->Branch("peakT0C",&peakT0C,"peakT0C/D"); // main peak of t0C after fit
 542         ttree->Branch("spreadT0C",&spreadT0C,"spreadT0C/D"); //spread of main peak of t0C after fit
 543         ttree->Branch("peakT0CErr",&peakT0CErr,"peakT0CErr/D"); // main peak of t0C after fit
 544         ttree->Branch("spreadT0CErr",&spreadT0CErr,"spreadT0CErr/D"); //spread of main peak of t0C after fit
 545
 546         ttree->Branch("avT0AC",&avT0AC,"avT0AC/D"); //main peak t0AC
 547         ttree->Branch("peakT0AC",&peakT0AC,"peakT0AC/D"); // main peak of t0AC after fit
 548         ttree->Branch("spreadT0AC",&spreadT0AC,"spreadT0AC/D"); //spread of main peak of t0AC after fit
 549         ttree->Branch("peakT0ACErr",&peakT0ACErr,"peakT0ACErr/D"); // main peak of t0AC after fit
 550         ttree->Branch("spreadT0ACErr",&spreadT0ACErr,"spreadT0ACErr/D"); //spread of main peak of t0AC after fit
 551
 552         ttree->Branch("avT0res",&avT0res,"avT0res/D"); //main peak t0AC
 553         ttree->Branch("peakT0res",&peakT0res,"peakT0res/D"); // main peak of t0AC after fit
 554         ttree->Branch("spreadT0res",&spreadT0res,"spreadT0res/D"); //spread of main peak of t0AC after fit
 555         ttree->Branch("peakT0resErr",&peakT0resErr,"peakT0resErr/D"); // main peak of t0AC after fit
 556         ttree->Branch("spreadT0resErr",&spreadT0resErr,"spreadT0resErr/D"); //spread of main peak of t0AC after fit
 557         ttree->Branch("avT0fillRes",&avT0fillRes,"avT0fillRes/D"); //t0 fill res
 558
 559         //postfile->ls();
 560         //save quantities for trending
 561
 562         //--------------------------------- Multiplicity ----------------------------------//
 563         TH1F*hMulti=(TH1F*)postfile->Get("hTOFmatchedPerEvt");
 564         if ((hMulti)&&(hMulti->GetEntries()>0)) {
 565           avMulti=hMulti->GetMean();
 566         }
 567
 568         //--------------------------------- T0F signal ----------------------------------//
 569
 570         TH1F*hTime=(TH1F*)postfile->Get("hTOFmatchedESDtime");
 571         if ((hTime)&&(hTime->GetEntries()>0)) {
 572           avTime=hTime->GetMean();
 573           hTime->Fit("landau","","",0.,50.);
 574           peakTime=(hTime->GetFunction("landau"))->GetParameter(1);
 575           spreadTime=(hTime->GetFunction("landau"))->GetParameter(2);
 576           peakTimeErr=(hTime->GetFunction("landau"))->GetParError(1);
 577           spreadTimeErr=(hTime->GetFunction("landau"))->GetParError(2);
 578
 579           negTimeRatio=((Double_t)hTime->Integral(1,3)*100.)/((Double_t)hTime->Integral());
 580           printf("Main peak time (landau): mean = %f +- %f\n",peakTime,peakTimeErr );
 581           printf("Main peak time (landau): spread = %f +- %f\n",spreadTime,spreadTimeErr );
 582           printf("Ratio of tracks with time<12.5 ns / total = %f\n",negTimeRatio );
 583
 584           //add integral of main peak over total
 585         }
 586         printf("---------------------------------------------------------------- \n");
 587         TH1F * hRawTime = (TH1F*)postfile->Get("hTOFmatchedESDrawTime");
 588         if ((hRawTime)&&(hRawTime->GetEntries()>0)){
 589           avRawTime=hRawTime->GetMean();
 590           hRawTime->Fit("landau","","",200.,250.);
 591           peakRawTime=(hRawTime->GetFunction("landau"))->GetParameter(1);
 592           spreadRawTime=(hRawTime->GetFunction("landau"))->GetParameter(2);
 593           peakRawTimeErr=(hRawTime->GetFunction("landau"))->GetParError(1);
 594           spreadRawTimeErr=(hRawTime->GetFunction("landau"))->GetParError(2);
 595           printf("Main peak raw time (landau): mean = %f +- %f\n",peakTime,peakTimeErr );
 596           printf("Main peak raw time (landau): spread = %f +- %f\n",spreadRawTime,spreadRawTimeErr );
 597         }
 598
 599         printf("---------------------------------------------------------------- \n");
 600
 601         TH1F * hTot = (TH1F*)postfile->Get("hTOFmatchedESDToT");
 602         if ((hTot)&&(hTot->GetEntries()>0)){
 603           avTot=hTot->GetMean();
 604           hTot->Fit("gaus","","",0.,50.);
 605           peakTot=(hTot->GetFunction("gaus"))->GetParameter(1);
 606           spreadTot=(hTot->GetFunction("gaus"))->GetParameter(2);
 607           peakTotErr=(hTot->GetFunction("gaus"))->GetParError(1);
 608           spreadTotErr=(hTot->GetFunction("gaus"))->GetParError(2);
 609           printf("Main peak ToT (gaus): mean = %f +- %f\n",peakTot,peakTotErr );
 610           printf("Main peak ToT (gaus): spread = %f +- %f\n",spreadTot,spreadTotErr );
 611         }
 612         printf("---------------------------------------------------------------- \n");
 613         TH1F * hOrphansRatio=(TH1F*)postfile->Get("hOrphansRatio");
 614         if (hOrphansRatio)
 615           orphansRatio=hOrphansRatio->GetMean();
 616
 617         TH1F * hL=(TH1F*)postfile->Get("hTOFmatchedESDtrkLength");
 618         if (hL)
 619           avL=hL->GetMean();
 620
 621         TH1F *hLnegRatio =(TH1F*)postfile->Get("hLnegRatio");
 622         if (hLnegRatio)
 623           negLratio=hLnegRatio->GetMean();
 624
 625         //--------------------------------- matching eff ----------------------------------//
 626
 627         //Double_t linFitEff1Param[3]={0.,0.,0.};
 628         TH1F *hMatchingVsPt =(TH1F*)postfile->Get("hTOFmatchedESDPt");
 629         if (hMatchingVsPt) {
 630           if (hMatchingVsPt->GetEntries()>0){
 631             hMatchingVsPt->Fit("pol0","","",1.0,5.);
 632             hMatchingVsPt->Draw();
 633             if (hMatchingVsPt->GetFunction("pol0")){
 634               matchEffLinFit1Gev=(hMatchingVsPt->GetFunction("pol0"))->GetParameter(0);
 635               matchEffLinFit1GevErr=(hMatchingVsPt->GetFunction("pol0"))->GetParError(0);
 636               printf("Matching efficiency fit param is %f +- %f\n",matchEffLinFit1Gev,matchEffLinFit1GevErr );
 637             }
 638           } else {
 639             printf("WARNING: matching efficiency plot has 0 entries. Skipped!\n");
 640           }
 641         } else {
 642           printf("WARNING: cannot retrieve matching efficiency plot\n");
 643         }
 644
 645         //--------------------------------- t-texp ----------------------------------//
 646
 647         TH1F*hPiDiffTime=(TH1F*)postfile->Get("hTOFmatchedExpTimePi");
 648         if ((hPiDiffTime)&&(hPiDiffTime->GetEntries()>0)) {
 649           avPiDiffTime=hPiDiffTime->GetMean();
 650           hPiDiffTime->Fit("gaus","","",-1000.,500.);
 651           if (hPiDiffTime->GetFunction("gaus")){
 652             peakPiDiffTime=(hPiDiffTime->GetFunction("gaus"))->GetParameter(1);
 653             spreadPiDiffTime=(hPiDiffTime->GetFunction("gaus"))->GetParameter(2);
 654             peakPiDiffTimeErr=(hPiDiffTime->GetFunction("gaus"))->GetParError(1);
 655             spreadPiDiffTimeErr=(hPiDiffTime->GetFunction("gaus"))->GetParError(2);
 656             printf("Main peak t-t_exp (gaus): mean = %f +- %f\n",peakPiDiffTime,peakPiDiffTimeErr );
 657             printf("Main peak t-t_exp (gaus): spread = %f +- %f\n",spreadPiDiffTime,spreadPiDiffTimeErr );
 658           }
 659         }
 660         //--------------------------------- T0 detector ----------------------------------//
 661
 662         TH1F*hT0A=(TH1F*)postfile->Get("hEventT0DetA");
 663         if ((hT0A)&&(hT0A->GetEntries()>0)) {
 664           avhT0A=hT0A->GetMean();
 665           hT0A->Fit("gaus");
 666           peakT0A=(hT0A->GetFunction("gaus"))->GetParameter(1);
 667           spreadT0A=(hT0A->GetFunction("gaus"))->GetParameter(2);
 668           peakT0AErr=(hT0A->GetFunction("gaus"))->GetParError(1);
 669           spreadT0AErr=(hT0A->GetFunction("gaus"))->GetParError(2);
 670           printf("Main peak T0A(gaus): mean = %f +- %f\n",peakT0A,peakT0AErr );
 671           printf("Main peak T0A (gaus): spread = %f +- %f\n",spreadT0A,spreadT0AErr );
 672           //add integral of main peak over total
 673         }
 674
 675         TH1F*hT0C=(TH1F*)postfile->Get("hEventT0DetC");
 676         if ((hT0C)&&(hT0C->GetEntries()>0)) {
 677           avhT0C=hT0C->GetMean();
 678           hT0C->Fit("gaus");
 679           peakT0C=(hT0C->GetFunction("gaus"))->GetParameter(1);
 680           spreadT0C=(hT0C->GetFunction("gaus"))->GetParameter(2);
 681           peakT0CErr=(hT0C->GetFunction("gaus"))->GetParError(1);
 682           spreadT0CErr=(hT0C->GetFunction("gaus"))->GetParError(2);
 683           printf("Main peak T0C(gaus): mean = %f +- %f\n",peakT0C,peakT0CErr );
 684           printf("Main peak T0C (gaus): spread = %f +- %f\n",spreadT0C,spreadT0CErr );
 685           //add integral of main peak over total
 686         }
 687
 688         TH1F*hT0AC=(TH1F*)postfile->Get("hEventT0DetAND");
 689         if ((hT0AC)&&(hT0AC->GetEntries()>0)) {
 690           avhT0AC=hT0AC->GetMean();
 691           hT0AC->Fit("gaus");
 692           peakT0AC=(hT0AC->GetFunction("gaus"))->GetParameter(1);
 693           spreadT0AC=(hT0AC->GetFunction("gaus"))->GetParameter(2);
 694           peakT0ACErr=(hT0AC->GetFunction("gaus"))->GetParError(1);
 695           spreadT0ACErr=(hT0AC->GetFunction("gaus"))->GetParError(2);
 696           printf("Main peak T0AC(gaus): mean = %f +- %f\n",peakT0AC,peakT0ACErr );
 697           printf("Main peak T0AC (gaus): spread = %f +- %f\n",spreadT0AC,spreadT0ACErr );
 698         }
 699
 700         TH1F*hT0res=(TH1F*)postfile->Get("hT0DetRes");
 701         if ((hT0res)&&(hT0res->GetEntries()>0)) {
 702           avhT0res=hT0res->GetMean();
 703           hT0res->Fit("gaus");
 704           peakT0res=(hT0res->GetFunction("gaus"))->GetParameter(1);
 705           spreadT0res=(hT0res->GetFunction("gaus"))->GetParameter(2);
 706           peakT0resErr=(hT0res->GetFunction("gaus"))->GetParError(1);
 707           spreadT0resErr=(hT0res->GetFunction("gaus"))->GetParError(2);
 708           printf("Main peak T0res(gaus): mean = %f +- %f\n",peakT0res,peakT0resErr );
 709           printf("Main peak T0res (gaus): spread = %f +- %f\n",spreadT0res,spreadT0resErr );
 710           //add integral of main peak over total
 711         }
 712
 713         TH1F*hT0fillRes=(TH1F*)postfile->Get("hT0fillRes");
 714         if ((hT0fillRes)&&(hT0fillRes->GetEntries()>0)) {
 715           avT0fillRes=hT0fillRes->GetMean();
 716         }
 717
 718         ttree->Fill();
 719         printf("==============  Saving trending quantities in tree for run %i ===============\n",runNumber);
 720         if (postfile->IsOpen()) {
 721           printf("Trying to close\n");
 722           postfile->Close();
 723         }
 724
 725         trendFile->cd();
 726         ttree->Write();
 727         trendFile->Close();
 728         return  0;
 729 }
 730
 731 //------------------------------------------------------------------------------------
 732
 733 Int_t RunESDQApostAnalysis(char *qafilename=NULL, Int_t runNumber=-1, Bool_t IsOnGrid=kFALSE, Bool_t canvasE=kFALSE) {
 734
 735         Bool_t debug=kFALSE;
 736
 737         /*access qa PWGPP output files - saved locally or on grid as specified by the second argument */
 738
 739         char defaultQAoutput[30]="QAresults.root";
 740         if (IsOnGrid) TGrid::Connect("alien://");
 741         TFile * fin= TFile::Open(qafilename,"r");
 742         printf("Opening file %s\n",qafilename);
 743         if (!fin) {
 744                 printf("ERROR: QA output not found. Exiting with status -1\n");
 745                 return -1;
 746         } else {
 747                 printf("INFO: QA output file %s open. \n",fin->GetName());
 748         }
 749
 750
 751         //access histograms lists
 752         char tofQAdirName[15]="TOF_Performance";
 753         char genListName[15]="cGeneralTOFqa";
 754         char t0ListName[15]="cTimeZeroTOFqa";
 755         char pidListName[15]="cPIDTOFqa";
 756         char posListName[15]="cPositiveTOFqa";
 757         char negListName[15]="cNegativeTOFqa";
 758
 759         TDirectoryFile * tofQAdir=(TDirectoryFile*)fin->Get(tofQAdirName);
 760         if(debug){
 761                 printf("------------------------------------------------------------------\n");
 762                 tofQAdir->ls();
 763                 printf("------------------------------------------------------------------\n");
 764         }
 765
 766         TList * generalList=(TList*)tofQAdir->Get(genListName);
 767         TList  *timeZeroList=(TList*)tofQAdir->Get(t0ListName);
 768         TList  *pidList=(TList*)tofQAdir->Get(pidListName);
 769         TList  *posList=(TList*)tofQAdir->Get(posListName);
 770         TList  *negList=(TList*)tofQAdir->Get(negListName);
 771
 772         if (!generalList) printf("WARNING: general QA histograms absent or not accessible\n");
 773         if (!timeZeroList) printf("WARNING: timeZero QA histograms absent or not accessible\n");
 774         if (!pidList) printf("WARNING: PID QA histograms absent or not accessible\n");
 775         if (!posList) printf("WARNING: general QA histograms for positive tracks absent or not accessible\n");
 776         if (!negList) printf("WARNING: general QA histograms for negative tracks absent or not accessible\n");
 777
 778         if ( (!generalList) && (!timeZeroList) && (!pidList) ){
 779                 printf("ERROR: no QA available \n");
 780                 return 1;
 781         }
 782
 783         if (debug){
 784                 generalList->ls();
 785                 printf("------------------------------------------------------------------\n");
 786                 timeZeroList->ls();
 787                 printf("------------------------------------------------------------------\n");
 788                 pidList->ls();
 789                 printf("------------------------------------------------------------------\n");
 790         }
 791
 792         /*set graphic style*/
 793         gStyle->SetCanvasColor(kWhite);
 794         gStyle->SetFrameFillColor(kWhite);
 795         gStyle->SetFrameBorderMode(0);
 796         gStyle->SetCanvasBorderMode(0);
 797         gStyle->SetTitleFillColor(kWhite);
 798         gStyle->SetTitleBorderSize(0)  ;
 799         gStyle->SetTitleFont(42);
 800         gStyle->SetTextFont(42);
 801         //gStyle->SetPalette(1);
 802         gStyle->SetStatColor(kWhite);
 803         gStyle->SetStatBorderSize(1);
 804         gStyle->SetOptStat(0);
 805
 806         //DEFINE OUTPUT FILE
 807         char outfilename[60];
 808         sprintf(outfilename,"postQA_%i.root",runNumber);
 809         TFile * fout=new TFile(outfilename,"recreate");
 810
 811         TH1I* hRunNumber=new TH1I("hRunNumber","hRunNumber;run",1,runNumber,runNumber+1);
 812         hRunNumber->Fill(runNumber);
 813
 814         //-------------------------------------------------------------
 815         /*GENERAL MONITOR - MULTIPLICITY*/
 816         TH1F*hMulti= (TH1F*) generalList->At(0);
 817
 818         TH1F* hFractionEventsWhits=new TH1F("hFractionEventsWhits","hFractionEventsWhits;fraction of events with hits (%)",200,0.,100.);
 819         Float_t fraction=0.0;
 820         if (hMulti->GetEntries()>0.0) fraction=((Float_t) hMulti->GetBinContent(1))/((Float_t) hMulti->GetEntries());
 821         else fraction=0.0;
 822         hFractionEventsWhits->Fill(fraction*100.);
 823
 824         //-------------------------------------------------------------
 825         /*GENERAL MONITOR - TIMING AND GEOMETRY*/
 826         TH1F * hTime = (TH1F*) generalList->At(1);
 827         hTime->SetMarkerStyle(8);
 828         hTime->SetMarkerSize(0.7);
 829         hTime->SetMarkerColor(kBlue);
 830         hTime->SetLineColor(kBlue);
 831         hTime->SetFillColor(kBlue);
 832         hTime->SetFillStyle(3001);
 833         hTime->Rebin(2);
 834         hTime->GetYaxis()->SetTitle("matched tracks");
 835         hTime->GetYaxis()->SetTitleOffset(1.35);
 836
 837         TH1F * hRawTime = (TH1F*) generalList->At(2);
 838         hRawTime->SetMarkerStyle(21);
 839         hRawTime->SetMarkerSize(0.7);
 840         hRawTime->SetMarkerColor(kGreen);
 841         hRawTime->SetLineColor(kGreen);
 842         hRawTime->SetFillColor(kGreen);
 843         hRawTime->SetFillStyle(3001);
 844         hRawTime->Rebin(2);
 845         hRawTime->GetYaxis()->SetTitle("matched tracks");
 846         hRawTime->GetYaxis()->SetTitleOffset(1.35);
 847
 848         TLegend *lTime = new TLegend(0.7125881,0.6052519,0.979435,0.7408306,NULL,"brNDC");
 849         lTime->SetTextSize(0.04281433);
 850         lTime->AddEntry(hRawTime, "raw","L");
 851         lTime->AddEntry(hTime, "ESD","L");
 852         lTime->SetFillColor(kWhite);
 853         lTime->SetShadowColor(0);
 854
 855         TH1F * hTot = (TH1F*) generalList->At(3);
 856         hTot->SetMarkerStyle(8);
 857         hTot->SetMarkerSize(0.7);
 858         hTot->SetMarkerColor(kViolet-3);
 859         hTot->SetLineColor(kViolet-3);
 860         hTot->SetFillColor(kViolet-3);
 861         hTot->SetFillStyle(3001);
 862         //hTime->SetDrawOption();
 863         hTot->GetYaxis()->SetTitle("matched tracks");
 864         hTot->GetYaxis()->SetTitleOffset(1.35);
 865
 866
 867         char orphansTxt[200];
 868         Float_t orphansRatio=0.0;
 869         if (hTot->GetEntries()>1){
 870                 orphansRatio=((Float_t) hTot->GetBinContent(1))/((Float_t) hTot->GetEntries()) ;
 871         }
 872         sprintf(orphansTxt,"orphans/matched tracks = %.4f ",orphansRatio);
 873         TH1F * hOrphansRatio=new TH1F("hOrphansRatio","Percentage of signals with only leading edge; percentage (%)",1000,0.,100.);
 874         hOrphansRatio->Fill(orphansRatio*100.);
 875
 876
 877         TPaveText *tOrphans = new TPaveText(0.38,0.63,0.88,0.7, "NDC");
 878         //NDC sets coords relative to pad
 879         tOrphans->SetBorderSize(0);
 880         tOrphans->SetTextSize(0.045);
 881         tOrphans->SetFillColor(0); //white background
 882         tOrphans->SetTextAlign(12);
 883         tOrphans->SetTextColor(kViolet-3);
 884         tOrphans->AddText(orphansTxt);
 885
 886         TH1F * hL = (TH1F*) generalList->At(4);
 887         hL->SetMarkerStyle(8);
 888         hL->SetMarkerSize(0.7);
 889         hL->SetMarkerColor(kOrange-3);
 890         hL->SetLineColor(kOrange-3);
 891         hL->SetFillColor(kOrange-3);
 892         hL->SetFillStyle(3001);
 893         //hTime->SetDrawOption();
 894         hL->GetYaxis()->SetTitle("matched tracks");
 895         hL->GetYaxis()->SetTitleOffset(1.35);
 896
 897         char negLengthTxt[200];
 898         Float_t negLengthRatio=0.0;
 899         if (hL->GetEntries()>1){
 900                 negLengthRatio=(hL->Integral(1,750))/((Float_t) hL->GetEntries()) ;
 901         }
 902         sprintf(negLengthTxt,"tracks with L<350cm /matched tracks = %.5f ",negLengthRatio);
 903         TH1F * hLnegRatio=new TH1F("hLnegRatio","Ratio of TOF-matched tracks with L<350cm; ratio (%)",10000,0.,100.);
 904         hLnegRatio->Fill(negLengthRatio*100);
 905
 906
 907
 908         TPaveText *tLength = new TPaveText(0.15,0.83,0.65,0.87, "NDC");
 909         //NDC sets coords relative to pad
 910         tLength->SetBorderSize(0);
 911         tLength->SetTextSize(0.04);
 912         tLength->SetFillColor(0); //white background
 913         tLength->SetTextAlign(11);
 914         tLength->SetTextColor(kOrange-3);
 915         tLength->AddText(negLengthTxt);
 916
 917         if (canvasE){
 918                 TCanvas *cTrackProperties= new TCanvas("cTrackProperties","summary of matched tracks properties",900,900);
 919                 cTrackProperties->Divide(2,2);
 920                 cTrackProperties->cd(1);
 921                 gPad->SetLogy();
 922                 gPad->SetGridx();
 923                 gPad->SetGridy();
 924                 hTime->Draw("BAR");
 925                 hRawTime ->Draw("BARsame");
 926                 lTime->Draw();
 927                 cTrackProperties->cd(2);
 928                 gPad->SetGridx();
 929                 gPad->SetGridy();
 930                 gPad->SetLogy();
 931                 hTot->Draw("BAR");
 932                 tOrphans->Draw();
 933                 cTrackProperties->cd(3);
 934                 gPad->SetGridx();
 935                 gPad->SetGridy();
 936                 gPad->SetLogy();
 937                 hL->Draw("BAR");
 938                 tLength->Draw();
 939         }
 940         fout->cd();
 941         hRunNumber->Write();
 942         hMulti->Write();
 943         hFractionEventsWhits->Write();
 944         hTime->Write();
 945         hRawTime->Write();
 946         hTot->Write();
 947         hOrphansRatio->Write();
 948         hL->Write();
 949         hLnegRatio->Write();
 950
 951         TH2F* hDxPos4profile = (TH2F*) generalList->At(14);
 952         TH2F* hDxNeg4profile = (TH2F*) generalList->At(13);
 953
 954         char profilename[30];
 955         const Int_t ybinMin = 0;
 956         const Int_t ybinMax =hDxPos4profile->GetYaxis()->GetNbins() ;
 957         sprintf(profilename,"profDxPos");
 958         TProfile * profDxPos = (TProfile*)hDxPos4profile->ProfileX(profilename, ybinMin,ybinMax);
 959         sprintf(profilename,"profDxNeg");
 960         profDxPos->SetLineWidth(2);
 961         TProfile * profDxNeg = (TProfile*)hDxNeg4profile->ProfileX(profilename, ybinMin, ybinMax);
 962         profDxNeg->SetLineWidth(2);
 963
 964         TH1 *profRatioPosOverNegDx = (TH1*) profDxPos->Clone();
 965         profRatioPosOverNegDx->SetName("profRatioPosOverNegDx");
 966         profRatioPosOverNegDx->Divide((TH1*) profDxNeg);
 967         profRatioPosOverNegDx->GetYaxis()->SetRangeUser(-5.,5.);
 968         profRatioPosOverNegDx->GetXaxis()->SetRangeUser(0.,2.);
 969         if (canvasE){
 970                 TCanvas *residuals= new TCanvas("residuals","residuals",900,450);
 971                 residuals->Divide(2,1);
 972                 residuals->cd(1);
 973                 gPad->SetGridx();
 974                 gPad->SetGridy();
 975                 hDxPos4profile->GetYaxis()->SetRangeUser(-5.,5.);
 976                 hDxPos4profile->Draw("colz");
 977                 profDxPos->SetLineColor(kRed);
 978                 profDxPos ->Draw("same");
 979                 residuals->cd(2);
 980                 gPad->SetGridx();
 981                 gPad->SetGridy();
 982                 hDxNeg4profile->GetYaxis()->SetRangeUser(-5.,5.);
 983                 hDxNeg4profile->Draw("colz");
 984                 profDxNeg->SetLineColor(kBlue);
 985                 profDxNeg->Draw("same");
 986         }
 987
 988         fout->cd();
 989         hDxPos4profile->Write();
 990         hDxNeg4profile->Write();
 991         profDxPos->Write();
 992         profDxNeg->Write();
 993         profRatioPosOverNegDx->Write();
 994         //-------------------------------------------------------------
 995         /* T0 DETECTOR MONITOR*/
 996
 997         TH1F * hT0AC = (TH1F*) timeZeroList->At(0);
 998         hT0AC->SetMarkerStyle(8);
 999         hT0AC->SetMarkerSize(0.7);
1000         hT0AC->SetMarkerColor(kRed);
1001         hT0AC->SetLineColor(kRed);
1002         hT0AC->SetFillColor(kRed);
1003         hT0AC->SetFillStyle(1001);
1004         hT0AC->Rebin(2);
1005         hT0AC->GetYaxis()->SetTitle("events");
1006         hT0AC->GetYaxis()->SetTitleOffset(1.35);
1007         hT0AC->GetXaxis()->SetLabelSize(0.03);
1008
1009         TH1F * hT0A = (TH1F*) timeZeroList->At(1);
1010         hT0A->SetMarkerStyle(8);
1011         hT0A->SetMarkerSize(0.7);
1012         hT0A->SetMarkerColor(kBlue);
1013         hT0A->SetLineColor(kBlue);
1014         hT0A->SetFillColor(kBlue);
1015         hT0A->SetFillStyle(1001);
1016         hT0A->Rebin(2);
1017         hT0A->GetYaxis()->SetTitle("events");
1018         hT0A->GetYaxis()->SetTitleOffset(1.35);
1019         hT0A->GetXaxis()->SetLabelSize(0.03);
1020
1021         TH1F * hT0C = (TH1F*) timeZeroList->At(2);
1022         hT0C->SetMarkerStyle(8);
1023         hT0C->SetMarkerSize(0.7);
1024         hT0C->SetMarkerColor(kGreen);
1025         hT0C->SetLineColor(kGreen);
1026         hT0C->SetFillColor(kGreen);
1027         hT0C->SetFillStyle(1001);
1028         hT0C->Rebin(2);
1029         hT0C->GetYaxis()->SetTitle("events");
1030         hT0C->GetYaxis()->SetTitleOffset(1.35);
1031         hT0C->GetXaxis()->SetLabelSize(0.03);
1032
1033         TLegend *lT0 = new TLegend(0.7125881,0.6052519,0.979435,0.7408306,NULL,"brNDC");
1034         lT0->SetTextSize(0.041);
1035         lT0->AddEntry(hT0AC, "T0 A&C","L");
1036         lT0->AddEntry(hT0A, "T0 A","L");
1037         lT0->AddEntry(hT0C, "T0 C","L");
1038         lT0->SetFillColor(kWhite);
1039         lT0->SetShadowColor(0);
1040
1041         TH1F * hT0res = (TH1F*) timeZeroList->At(3);
1042         hT0res->GetXaxis()->SetLabelSize(0.03);
1043         if (canvasE){
1044                 TCanvas *cT0detector= new TCanvas("cT0detector","T0 detector",900,450);
1045                 cT0detector->Divide(2,1);
1046                 cT0detector->cd(1);
1047                 gPad->SetGridx();
1048                 gPad->SetGridy();
1049                 hT0AC->Draw("BAR");
1050                 hT0AC->SetTitle("timeZero measured by T0 detector");
1051                 hT0A ->Draw("BARsame");
1052                 hT0C ->Draw("BARsame");
1053                 lT0->Draw();
1054                 cT0detector->cd(2);
1055                 gPad->SetGridx();
1056                 gPad->SetGridy();
1057                 // gPad->SetLogy();
1058                 hT0res->Draw();
1059                 // myText1->Draw();
1060                 // cTrackProperties->cd(3);
1061                 // gPad->SetLogy();
1062                 // hL->Draw("BAR");
1063                 // myText2->Draw();
1064         }
1065
1066         TH1F * hT0fillRes = (TH1F*) timeZeroList->At(8);
1067         hT0fillRes->GetXaxis()->SetLabelSize(0.03);
1068
1069         fout->cd();
1070         hT0AC->Write();
1071         hT0A->Write();
1072         hT0C->Write();
1073         hT0res->Write();
1074         hT0fillRes->Write();
1075         lT0->Write();
1076
1077
1078         //-------------------------------------------------------------
1079         /*MATCHING EFFICIENCY  MONITOR*/
1080
1081         //TH1F * hMatchingVsP =new TH1F("hMatchingVsP","Matching probability vs. P; P(GeV/c); matching probability", 50, 0., 5. );
1082
1083         TH1F * hMatchingVsPt =new TH1F("hMatchingVsPt","Matching probability vs. Pt; Pt(GeV/c); matching probability", 50, 0., 5. );
1084
1085         TH1F * hMatchingVsEta =new TH1F("hMatchingVsEta","Matching probability vs. #\Eta; #\Eta; matching probability", 20, -1., 1.);
1086
1087         TH1F * hMatchingVsPhi =new TH1F("hMatchingVsPhi","Matching probability vs. Phi; Phi(rad); matching probability", 628, 0., 6.28);
1088
1089         /*/matching as function of p
1090           TH1F * hDenom=(TH1F*)generalList->At(9);
1091           if (hDenom) {
1092           hMatchingVsP=(TH1F*) generalList->At(5);
1093           hMatchingVsP->Rebin(5);
1094           hDenom->Rebin(5);
1095           hMatchingVsP->Divide(hDenom);
1096           hMatchingVsP->GetYaxis()->SetTitle("matching efficiency");
1097           hMatchingVsP->SetTitle("TOF matching efficiency as function of momentum");
1098           }*/
1099
1100         //matching as function of pT
1101
1102         // hDenom->Clear();
1103         TH1F * hDenom=(TH1F*)generalList->At(10);
1104         if (hDenom) {
1105                 hMatchingVsPt=(TH1F*) generalList->At(6);
1106                 hMatchingVsPt->Rebin(5);
1107                 hDenom->Rebin(5);
1108                 hMatchingVsPt->Divide(hDenom);
1109                 hMatchingVsPt->GetYaxis()->SetTitle("matching efficiency");
1110                 hMatchingVsPt->SetTitle("TOF matching efficiency as function of transverse momentum");
1111                 hMatchingVsPt->GetYaxis()->SetRangeUser(0,1.2);
1112         }
1113
1114         //matching as function of eta
1115         hDenom->Clear();
1116         hDenom=(TH1F*)generalList->At(11);
1117         if (hDenom) {
1118                 hMatchingVsEta=(TH1F*) generalList->At(7);
1119                 hMatchingVsEta->Rebin(5);
1120                 hDenom->Rebin(5);
1121                 hMatchingVsEta->Divide(hDenom);
1122                 hMatchingVsEta->GetXaxis()->SetRangeUser(-1,1);
1123                 hMatchingVsEta->GetYaxis()->SetTitle("matching efficiency");
1124                 hMatchingVsEta->GetYaxis()->SetRangeUser(0,1.2);
1125                 hMatchingVsEta->SetTitle("TOF matching efficiency as function of pseudorapidity");
1126         }
1127         //matching as function of phi
1128         hDenom->Clear();
1129         hDenom=(TH1F*)generalList->At(12);
1130         if (hDenom) {
1131                 hMatchingVsPhi=(TH1F*) generalList->At(8);
1132                 //hMatchingVsPhi->Rebin(5);
1133                 //hDenom->Rebin(5);
1134                 hMatchingVsPhi->Divide(hDenom);
1135                 hMatchingVsPhi->GetYaxis()->SetTitle("matching efficiency");
1136                 hMatchingVsPhi->SetTitle("TOF matching efficiency as function of phi");
1137                 hMatchingVsPhi->GetYaxis()->SetRangeUser(0,1.2);
1138         }
1139         if (  canvasE){
1140                 TCanvas *cMatchingPerformance= new TCanvas("cMatchingPerformance","summary of matching performance",700,400);
1141                 cMatchingPerformance->Divide(2,2);
1142                 cMatchingPerformance->cd(1);
1143                 gPad->SetGridx();
1144                 gPad->SetGridy();
1145                 hMatchingVsPt->Draw();
1146                 cMatchingPerformance->cd(2);
1147                 gPad->SetGridx();
1148                 gPad->SetGridy();
1149                 hMatchingVsEta->Draw();
1150                 cMatchingPerformance->cd(3);
1151                 gPad->SetGridx();
1152                 gPad->SetGridy();
1153                 hMatchingVsPhi->Draw();
1154         }
1155         fout->cd();
1156         hMatchingVsPt->Write();
1157         hMatchingVsEta->Write();
1158         hMatchingVsPhi->Write();
1159
1160         //----------------------------------------------------
1161         /* PID PERFORMANCE MONITOR */
1162
1163         TH2F * hBetaP=(TH2F*)pidList->At(0);
1164         hBetaP->GetYaxis()->SetRangeUser(0.,1.2);
1165         TH1F * hMass=(TH1F*)pidList->At(1);
1166         //hMass->SetMarkerColor(kBlue);
1167         //hMass->SetLineColor(kBlue);
1168         hMass->SetFillColor(kAzure+10);
1169         hMass->SetFillStyle(1001);
1170         hMass->Rebin(2);
1171         hMass->GetYaxis()->SetTitle("tracks");
1172         hMass->GetYaxis()->SetTitleOffset(1.35);
1173         hMass->GetXaxis()->SetLabelSize(0.03);
1174
1175         TH1F * hPionDiff=(TH1F*)pidList->At(3);
1176
1177
1178         TH2F * hDiffTimePi=(TH2F*)pidList->At(4);
1179         hDiffTimePi->GetYaxis()->SetRangeUser(-2000.,2000.);
1180         hDiffTimePi->SetTitle("PIONS t-t_{exp,#pi} (from tracking) vs. P");
1181           //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
1182         sprintf(profilename,"profDiffTimePi");
1183
1184         TProfile * profDiffTimePi = (TProfile*)hDiffTimePi->ProfileX(profilename, 490, 510);
1185         profDiffTimePi->SetLineWidth(2);
1186         profDiffTimePi->SetLineColor(kRed+2);
1187
1188         TH2F * hDiffTimePiTh=(TH2F*)pidList->At(6);
1189         //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
1190         sprintf(profilename,"profDiffTimePiTh");
1191         hDiffTimePiTh->GetYaxis()->SetRangeUser(-2000.,2000.);
1192
1193         TProfile * profDiffTimePiTh = (TProfile*)hDiffTimePiTh->ProfileX(profilename, 490, 510);
1194         profDiffTimePiTh->SetLineWidth(2);
1195         profDiffTimePiTh->SetLineColor(kRed+2);
1196
1197         TH2F * hDiffTimeKa=(TH2F*)pidList->At(9);
1198         //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
1199         hDiffTimeKa->SetTitle("KAONS t-t_{exp,K} (from tracking) vs. P");
1200         sprintf(profilename,"profDiffTimeKa");
1201         hDiffTimeKa->GetYaxis()->SetRangeUser(-2000.,2000.);
1202
1203         TProfile * profDiffTimeKa = (TProfile*)hDiffTimeKa->ProfileX(profilename, 490, 510);
1204         profDiffTimeKa->SetLineWidth(2);
1205         profDiffTimeKa->SetLineColor(kBlue);
1206
1207         TH2F * hDiffTimeKaTh=(TH2F*)pidList->At(11);
1208         //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
1209         sprintf(profilename,"profDiffTimeKaTh");
1210         hDiffTimeKaTh->GetYaxis()->SetRangeUser(-2000.,2000.);
1211         TProfile * profDiffTimeKaTh = (TProfile*)hDiffTimeKaTh->ProfileX(profilename, 490, 510);
1212         profDiffTimeKaTh->SetLineWidth(2);
1213         profDiffTimeKaTh->SetLineColor(kBlue);
1214
1215         TH2F * hDiffTimePro=(TH2F*)pidList->At(14);
1216         //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
1217         sprintf(profilename,"profDiffTimePro");
1218         hDiffTimePro->SetTitle("PROTONS t-t_{exp,p} (from tracking) vs. P");
1219         hDiffTimePro->GetYaxis()->SetRangeUser(-2000.,2000.);
1220         TProfile * profDiffTimePro = (TProfile*)hDiffTimePro->ProfileX(profilename, 490, 510);
1221         profDiffTimePro->SetLineWidth(2);
1222         profDiffTimePro->SetLineColor(kGreen+2);
1223
1224         TH2F * hDiffTimeProTh=(TH2F*)pidList->At(16);
1225         //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
1226         sprintf(profilename,"profDiffTimeProTh");
1227         hDiffTimeProTh->GetYaxis()->SetRangeUser(-2000.,2000.);
1228         TProfile * profDiffTimeProTh = (TProfile*)hDiffTimeProTh->ProfileX(profilename, 490, 510);
1229         profDiffTimeProTh->SetLineWidth(2);
1230         profDiffTimeProTh->SetLineColor(kGreen+2);
1231
1232         if (canvasE){
1233                 TCanvas *cPidPerformance= new TCanvas("cPidPerformance","summary of pid performance",800,800);
1234                 cPidPerformance->Divide(2,1);
1235                 cPidPerformance->cd(1);
1236                 gPad->SetGridy();
1237                 gPad->SetGridx();
1238                 gPad->SetLogz();
1239                 hBetaP->Draw("colz");
1240
1241                 cPidPerformance->cd(2);
1242                 gPad->SetGridx();
1243                 gPad->SetGridy();
1244                 gPad->SetLogy();
1245                 hMass->Draw("HIST BAR");
1246
1247                 TLegend * lPid=new TLegend(0.75,0.75,0.95,0.95,"PID");
1248                 lPid->AddEntry(profDiffTimePi,"#pi^{#pm}","l");
1249                 lPid->AddEntry(profDiffTimeKa,"K^{#pm}","l");
1250                 lPid->AddEntry(profDiffTimePro,"p^{#pm}","l");
1251
1252                 gStyle->SetOptStat(10);
1253                 TCanvas *cPidPerformance2= new TCanvas("cPidPerformance2","summary of pid performance - tracking",700,700);
1254                 cPidPerformance2->Divide(2,2);
1255                 cPidPerformance2->cd(1);
1256                 gPad->SetLogz();
1257                 gPad->SetGridx();
1258                 gPad->SetGridy();
1259                 hDiffTimePi->Draw("colz");
1260                 // profDiffTimePi->Draw("same");
1261
1262                 cPidPerformance2->cd(2);
1263                 gPad->SetLogz();
1264                 gPad->SetGridx();
1265                 gPad->SetGridy();
1266                 hDiffTimeKa->Draw("colz");
1267                 //profDiffTimeKa->Draw("same");
1268                 cPidPerformance2->cd(3);
1269                 gPad->SetLogz();
1270                 hDiffTimePro->Draw("colz");
1271                 //  profDiffTimePro->Draw("same");
1272
1273                 // cPidPerformance2->cd(4);
1274                 //  profDiffTimePi->Draw();
1275                 //  profDiffTimeKa->Draw("same");
1276                 //  profDiffTimePro->Draw("same");
1277                 //  lPid->Draw("same");
1278
1279                 TCanvas *cPidPerformanceTh= new TCanvas("cPidPerformanceTh","summary of pid performance - theoretical times",700,700);
1280                 cPidPerformanceTh->Divide(2,2);
1281                 cPidPerformanceTh->cd(1);
1282                 gPad->SetLogz();
1283                 gPad->SetGridx();
1284                 gPad->SetGridy();
1285                 hDiffTimePiTh->Draw("colz");
1286                 profDiffTimePiTh->Draw("same");
1287                 cPidPerformanceTh->cd(2);
1288                 gPad->SetLogz();
1289                 gPad->SetGridx();
1290                 gPad->SetGridy();
1291                 hDiffTimeKaTh->Draw("colz");
1292                 profDiffTimeKaTh->Draw("same");
1293                 cPidPerformanceTh->cd(3);
1294                 gPad->SetLogz();
1295                 gPad->SetGridx();
1296                 gPad->SetGridy();
1297                 hDiffTimeProTh->Draw("colz");
1298                 profDiffTimeProTh->Draw("same");
1299                 // cPidPerformanceTh->cd(4);
1300                 // profDiffTimePiTh->Draw();
1301                 // profDiffTimeKaTh->Draw("same");
1302                 // profDiffTimeProTh->Draw("same");
1303                 // lPid->Draw("same");
1304         }
1305
1306         TH1F * hPionDiff=(TH1F*)pidList->FindObject("hTOFmatchedExpTimePi");
1307         TH1F * hKaonDiff=(TH1F*)pidList->FindObject("hTOFmatchedExpTimeKa");
1308         TH1F * hProtonDiff=(TH1F*)pidList->FindObject("hTOFmatchedExpTimePro");
1309
1310
1311         fout->cd();
1312         hPionDiff->Write();
1313         hKaonDiff->Write();
1314         hProtonDiff->Write();
1315
1316         hBetaP->Write();
1317         hMass->Write();
1318         hDiffTimePi->Write();
1319         profDiffTimePi->Write();
1320         hDiffTimeKa->Write();
1321         profDiffTimeKa->Write();
1322         hDiffTimePro->Write();
1323         profDiffTimePro->Write();
1324         //lPid->Draw();
1325         hDiffTimePiTh->Write();
1326         profDiffTimePiTh->Write();
1327         hDiffTimeKaTh->Write();
1328         profDiffTimeKaTh->Write();
1329         hDiffTimeProTh->Write();
1330         profDiffTimeProTh->Write();
1331
1332         //SIGMAS PID
1333         TH2F * hSigmaPi=(TH2F*)pidList->At(7);
1334         sprintf(profilename,"profSigmaPi");
1335         hSigmaPi->GetYaxis()->SetRangeUser(-5.,5.);
1336         TProfile * profSigmaPi = (TProfile*)hSigmaPi->ProfileX(profilename);
1337         profSigmaPi->SetLineWidth(2);
1338         profSigmaPi->SetLineColor(kRed+2);
1339
1340         TH2F * hSigmaKa=(TH2F*)pidList->At(12);
1341         sprintf(profilename,"profSigmaKa");
1342         hSigmaKa->GetYaxis()->SetRangeUser(-5.,5.);
1343         TProfile * profSigmaKa = (TProfile*)hSigmaKa->ProfileX(profilename);
1344         profSigmaKa->SetLineWidth(2);
1345         profSigmaKa->SetLineColor(kBlue);
1346
1347         TH2F * hSigmaPro=(TH2F*)pidList->At(17);
1348         sprintf(profilename,"profSigmaPro");
1349         hSigmaPro->GetYaxis()->SetRangeUser(-5.,5.);
1350         TProfile * profSigmaPro = (TProfile*)hSigmaPro->ProfileX(profilename);
1351         profSigmaPro->SetLineWidth(2);
1352         profSigmaPro->SetLineColor(kGreen+2);
1353
1354
1355         if (canvasE){
1356
1357                 TLegend * lSigmaPid=new TLegend(0.75,0.75,0.95,0.95,"#sigma_{PID}");
1358                 lSigmaPid->AddEntry(profSigmaPi,"#pi^{#pm}","l");
1359                 lSigmaPid->AddEntry(profSigmaKa,"K^{#pm}","l");
1360                 lSigmaPid->AddEntry(profSigmaPro,"p^{#pm}","l");
1361
1362                 TCanvas *cPidPerformance3= new TCanvas("cPidPerformance3","summary of pid performance - sigmas",1200,400);
1363                 cPidPerformance3->Divide(3,1);
1364                 cPidPerformance3->cd(1);
1365                 gPad->SetLogz();
1366                 gPad->SetGridx();
1367                 gPad->SetGridy();
1368
1369                 hSigmaPi->Draw("colz");
1370                 profSigmaPi->Draw("same");
1371
1372                 cPidPerformance3->cd(2);
1373                 gPad->SetLogz();
1374                 gPad->SetGridx();
1375                 gPad->SetGridy();
1376                 hSigmaKa->Draw("colz");
1377                 profSigmaKa->Draw("same");
1378
1379                 cPidPerformance3->cd(3);
1380                 gPad->SetGridx();
1381                 gPad->SetGridy();
1382                 gPad->SetLogz();
1383                 hSigmaPro->Draw("colz");
1384                 profSigmaPro->Draw("same");
1385         }
1386
1387         fout->cd();
1388         hSigmaPi->Write();
1389         profSigmaPi->Write();
1390         hSigmaKa->Write();
1391         profSigmaKa->Write();
1392         hSigmaPro->Write();
1393         profSigmaPro->Write();
1394
1395         TH2F* hTOFmatchedDzVsStrip = (TH2F*)generalList->FindObject("hTOFmatchedDzVsStrip");
1396
1397         if (canvasE){
1398                 TCanvas* cProfile = new TCanvas("cProfile","cProfile",50,50,750,550);
1399                 gStyle->SetOptStat(0);
1400                 hTOFmatchedDzVsStrip->Draw("colz");
1401                 Int_t binmin = hTOFmatchedDzVsStrip->GetYaxis()->FindBin(-3);
1402                 Int_t binmax = hTOFmatchedDzVsStrip->GetYaxis()->FindBin(3);
1403                 TProfile* hDzProfile = (TProfile*)hTOFmatchedDzVsStrip->ProfileX("hDzProfile",binmin, binmax);
1404                 hDzProfile->SetLineWidth(3);
1405                 hDzProfile->Draw("same");
1406                 cProfile->SetGridx();
1407                 cProfile->SetGridy();
1408                 TString plotDir(Form("Plots_run%d",runNumber));
1409                 gSystem->Exec(Form("mkdir %s",plotDir.Data()));
1410                 cPidPerformance3->Print(Form("%s/PID_sigmas.png",plotDir.Data()));
1411                 cPidPerformance->Print(Form("%s/PID.png",plotDir.Data()));
1412                 cPidPerformanceTh->Print(Form("%s/PID_theoreticalTimes.png",plotDir.Data()));
1413                 cPidPerformance2->Print(Form("%s/PID_ExpTimes.png",plotDir.Data()));
1414                 cMatchingPerformance->Print(Form("%s/Matching.png",plotDir.Data()));
1415                 cT0detector->Print(Form("%s/T0Detector.png",plotDir.Data()));
1416                 cTrackProperties->Print(Form("%s/TrackProperties.png",plotDir.Data()));
1417                 residuals->Print(Form("%s/Residuals.png",plotDir.Data()));
1418                 cProfile->Print(Form("%s/ProfileDZvsStripNumber.png",plotDir.Data()));
1419         }
1420         fout->cd();
1421         hTOFmatchedDzVsStrip->Write();
1422
1423         return 0;
1424 }
1425
1426 //----------------------------------------------------------
1427 char * SetQAtrainOutputName(Int_t run=0,Int_t year=2011,char *period="LHC11a", char* pass="cpass1",Int_t trainId=76){
1428
1429         char infile[200];
1430         sprintf(infile,"alien:///alice/data/%i/%s/000%d/ESDs/%s/QA%i/QAresults.root",year,period,runNumber,pass,trainId);
1431         return infile;
1432
1433 }
1434
1435
1436