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=2012, char *period="LHC12a", char* pass="cpass1", char* nameSuffix ="_barrel",Bool_t isMC=kFALSE,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             if (!isMC) sprintf(infile,"alien:///alice/data/%i/%s/000%d/%s/QAresults%s.root",year,period,runNumber,pass,nameSuffix);
  40             else sprintf(infile,"alien:///alice/sim/%i/%s/%d/QAresults%s.root",year,period,runNumber,nameSuffix);
  41           } else{
  42             if (!isMC) sprintf(infile,"alien:///alice/data/%i/%s/000%d/ESDs/%s/QA%i/QAresults%s.root",year,period,runNumber,pass,trainId,nameSuffix);
  43             else sprintf(infile,"alien:///alice/sim/%i/%s/%d/QA%i/QAresults%s.root",year,period,runNumber,trainId,nameSuffix);
  44           }
  45
  46           Printf("============== Opening QA file(s) for run %i =======================\n",runNumber);
  47
  48           //run post-analysis
  49           if (RunESDQApostAnalysis(infile,runNumber,isMC,kTRUE)==0){
  50             filesCounter++;
  51             sprintf(postFileName,"postQA_%i.root",runNumber);
  52             sprintf(treePostFileName,"treePostQA_%i.root",runNumber);
  53
  54             if (MakePostQAtree(runNumber, isMC, postFileName, treePostFileName)==0){
  55               chainTree->Add(treePostFileName);
  56               Printf("Tree chain has now %d entries ",(Int_t)chainTree->GetEntries());
  57             } else {
  58               Printf("Could not get tree with trending quantities for run %i: SKIPPING",runNumber);
  59             }
  60           } else
  61             Printf("Post analysis not run on QA output %s", infile);
  62         }
  63         return  MakeTrendingFromTreeWithErrors(chainTree, trendFileName, displayAll);
  64 }
  65 //-----------------------------------------------------------
  66 Int_t MakeTrendingHistoFromTreeList(char * fileList,  Bool_t displayAll=kFALSE){
  67
  68         Int_t filesCounter=0;
  69
  70         if (!fileList) {
  71                 printf("Invalid list of runs given as input: nothing done\n");
  72                 return 1;
  73         }
  74         char infile[300];
  75         char trendFileName[100];
  76         //Define trending output
  77         sprintf(trendFileName,"trendingHistoTOFQA_%s.root",fileList);
  78         TFile * trendFile=new TFile(trendFileName,"recreate");
  79         FILE * files = fopen(fileList, "r") ;
  80
  81         //create chain of treePostQA
  82         Long64_t nentries=100000, firstentry=0;
  83         TChain *chainTree =new TChain("trendTree");
  84
  85         while (fscanf(files,"%s",&infile)==1 ){
  86           if (!TFile::Open(infile,"r"))
  87             Printf("Error: cannot open file %s", infile);
  88           Printf("============== Adding QA tree file %s to the chain",infile);
  89           filesCounter++;
  90           chainTree->Add(infile);
  91         }
  92         return  MakeTrendingFromTreeWithErrors(chainTree, trendFileName, displayAll);
  93 }
  94
  95 //______________________________________________________________________________
  96 Int_t MakeTrendingFromTreeWithErrors(TChain * fin,char* trendFileName=NULL, Bool_t displayAll=kFALSE){
  97
  98         if (!trendFileName)
  99                 return 3;
 100
 101         if (!fin)
 102                 return 4;
 103
 104         Int_t runNumber;
 105         Double_t avTime=0., peakTime=0., spreadTime=0., peakTimeErr=0., spreadTimeErr=0.,negTimeRatio=0.,
 106                 avRawTime=0., peakRawTime=0., spreadRawTime=0., peakRawTimeErr=0., spreadRawTimeErr=0.,
 107                 avTot=0., peakTot=0.,spreadTot=0.,  peakTotErr=0.,spreadTotErr=0.,
 108                 orphansRatio=0., avL=0., negLratio=0.,
 109                 effPt1=0., effPt2=0., matchEffLinFit1Gev=0.,matchEffLinFit1GevErr=0.;
 110         Double_t avDiffTime=0.,peakDiffTime=0., spreadDiffTime=0.,peakDiffTimeErr=0., spreadDiffTimeErr=0.,avT0fillRes=0.;
 111
 112         Double_t avT0A=0.,peakT0A=0., spreadT0A=0.,peakT0AErr=0., spreadT0AErr=0.;
 113         Double_t avT0C=0.,peakT0C=0., spreadT0C=0.,peakT0CErr=0., spreadT0CErr=0.;
 114         Double_t avT0AC=0.,peakT0AC=0., spreadT0AC=0.,peakT0ACErr=0., spreadT0ACErr=0.;
 115         Double_t avT0res=0.,peakT0res=0., spreadT0res=0.,peakT0resErr=0., spreadT0resErr=0.;
 116         Int_t avMulti=0;
 117         Float_t fractionEventsWHits=0.0;
 118         Double_t goodChannelRatio=0.0;
 119
 120         TTree * ttree = (TTree*) fin->CloneTree();
 121         ttree->SetBranchAddress("run",&runNumber);
 122         ttree->SetBranchAddress("goodChannelsRatio",&goodChannelRatio);
 123         ttree->SetBranchAddress("avTime",&avTime); //mean time
 124         ttree->SetBranchAddress("peakTime",&peakTime); //main peak time after fit
 125         ttree->SetBranchAddress("spreadTime",&spreadTime); //spread of main peak of time after fit
 126         ttree->SetBranchAddress("peakTimeErr",&peakTimeErr); //main peak time after fit error
 127         ttree->SetBranchAddress("spreadTimeErr",&spreadTimeErr); //spread of main peak of time after fit error
 128
 129         ttree->SetBranchAddress("negTimeRatio",&negTimeRatio); //negative time ratio
 130
 131         ttree->SetBranchAddress("avRawTime",&avRawTime); //mean raw time
 132         ttree->SetBranchAddress("peakRawTime",&peakRawTime); //mean peak of raw time after fit
 133         ttree->SetBranchAddress("spreadRawTime",&spreadRawTime); //spread of main peak of raw time after fit
 134         ttree->SetBranchAddress("peakRawTimeErr",&peakRawTimeErr); //main peak raw  time after fit error
 135         ttree->SetBranchAddress("spreadRawTimeErr",&spreadRawTimeErr); //spread of  raw main peak of time after fit error
 136
 137         ttree->SetBranchAddress("avTot",&avTot); //main peak tot
 138         ttree->SetBranchAddress("peakTot",&peakTot); // main peak of tot after fit
 139         ttree->SetBranchAddress("spreadTot",&spreadTot); //spread of main peak of tot after fit
 140         ttree->SetBranchAddress("peakTotErr",&peakTotErr); // main peak of tot after fit
 141         ttree->SetBranchAddress("spreadTotErr",&spreadTotErr); //spread of main peak of tot after fit
 142
 143         ttree->SetBranchAddress("orphansRatio",&orphansRatio); //orphans ratio
 144
 145         ttree->SetBranchAddress("avL",&avL); //mean track length
 146         ttree->SetBranchAddress("negLratio",&negLratio);//ratio of tracks with track length <350 cm
 147
 148         ttree->SetBranchAddress("effPt1",&effPt1);//matching eff at 1 GeV/c
 149         ttree->SetBranchAddress("effPt2",&effPt2); //matching eff at 2 GeV/c
 150         ttree->SetBranchAddress("matchEffLinFit1Gev",&matchEffLinFit1Gev);//matching eff fit param
 151         ttree->SetBranchAddress("matchEffLinFit1GevErr",&matchEffLinFit1GevErr);////matching eff fit param error
 152
 153         ttree->SetBranchAddress("avPiDiffTime",&avDiffTime); //mean t-texp
 154         ttree->SetBranchAddress("peakPiDiffTime",&peakDiffTime); //main peak t-texp after fit
 155         ttree->SetBranchAddress("spreadPiDiffTime",&spreadDiffTime); //spread of main peak t-texp after fit
 156         ttree->SetBranchAddress("peakPiDiffTimeErr",&peakDiffTimeErr); //main peak t-texp after fit error
 157         ttree->SetBranchAddress("spreadPiDiffTimeErr",&spreadDiffTimeErr); //spread of main peak of t-texp after fit error
 158
 159         ttree->SetBranchAddress("avT0A",&avT0A); //main peak t0A
 160         ttree->SetBranchAddress("peakT0A",&peakT0A); // main peak of t0A after fit
 161         ttree->SetBranchAddress("spreadT0A",&spreadT0A); //spread of main peak of t0A after fit
 162         ttree->SetBranchAddress("peakT0AErr",&peakT0AErr); // main peak of t0A after fit
 163         ttree->SetBranchAddress("spreadT0AErr",&spreadT0AErr); //spread of main peak of t0A after fit
 164
 165         ttree->SetBranchAddress("avT0C",&avT0C); //main peak t0C
 166         ttree->SetBranchAddress("peakT0C",&peakT0C); // main peak of t0C after fit
 167         ttree->SetBranchAddress("spreadT0C",&spreadT0C); //spread of main peak of t0C after fit
 168         ttree->SetBranchAddress("peakT0CErr",&peakT0CErr); // main peak of t0C after fit
 169         ttree->SetBranchAddress("spreadT0CErr",&spreadT0CErr); //spread of main peak of t0C after fit
 170
 171         ttree->SetBranchAddress("avT0AC",&avT0AC); //main peak t0AC
 172         ttree->SetBranchAddress("peakT0AC",&peakT0AC); // main peak of t0AC after fit
 173         ttree->SetBranchAddress("spreadT0AC",&spreadT0AC); //spread of main peak of t0AC after fit
 174         ttree->SetBranchAddress("peakT0ACErr",&peakT0ACErr); // main peak of t0AC after fit
 175         ttree->SetBranchAddress("spreadT0ACErr",&spreadT0ACErr); //spread of main peak of t0AC after fit
 176
 177         ttree->SetBranchAddress("avT0res",&avT0res); //main peak t0AC
 178         ttree->SetBranchAddress("peakT0res",&peakT0res); // main peak of t0AC after fit
 179         ttree->SetBranchAddress("spreadT0res",&spreadT0res); //spread of main peak of t0AC after fit
 180         ttree->SetBranchAddress("peakT0resErr",&peakT0resErr); // main peak of t0AC after fit
 181         ttree->SetBranchAddress("spreadT0resErr",&spreadT0resErr); //spread of main peak of t0AC after fit
 182         ttree->SetBranchAddress("avT0fillRes",&avT0fillRes); //t0 fill res
 183
 184         Int_t nRuns=ttree->GetEntries();
 185         TList lista;
 186
 187         TH1F * hAvDiffTimeVsRun=new TH1F("hAvDiffTimeVsRun","Mean t-t_{exp} (no fit);run;<t^{TOF}-t_{exp,#pi}> (ps)",nRuns,0., nRuns);//, 600, 0. , 600.);
 188         hAvDiffTimeVsRun->SetDrawOption("E1");
 189         hAvDiffTimeVsRun->SetMarkerStyle(20);
 190         hAvDiffTimeVsRun->SetMarkerColor(kBlue);
 191         //   hAvTimeVsRun->GetYaxis()->SetRangeUser(0.0, 50.0);
 192
 193         TH1F * hPeakDiffTimeVsRun=new TH1F("hPeakDiffTimeVsRun","t-t_{exp} (gaussian fit) ;run; <t^{TOF}-t_{exp,#pi}> (ps)",nRuns,0., nRuns);//,600, 0. , 600. );
 194         hPeakDiffTimeVsRun->SetDrawOption("E1");
 195         hPeakDiffTimeVsRun->SetMarkerStyle(20);
 196         hPeakDiffTimeVsRun->SetMarkerColor(kBlue);
 197
 198         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.);
 199         hSpreadDiffTimeVsRun->SetDrawOption("E1");
 200         hSpreadDiffTimeVsRun->SetMarkerStyle(20);
 201         hSpreadDiffTimeVsRun->SetMarkerColor(kBlue);
 202
 203         TH1F * hAvTimeVsRun=new TH1F("hAvTimeVsRun","<t^{TOF}>;run;<t^{TOF}> (ns)",nRuns,0., nRuns);//, 600, 0. , 600.);
 204         hAvTimeVsRun->SetDrawOption("E1");
 205         hAvTimeVsRun->SetMarkerStyle(20);
 206         hAvTimeVsRun->SetMarkerColor(kBlue);
 207         //   hAvTimeVsRun->GetYaxis()->SetRangeUser(0.0, 50.0);
 208
 209         TH1F * hPeakTimeVsRun=new TH1F("hPeakTimeVsRun","Peak value of t^{TOF} (landau fit);run;t_{peak}^{TOF} (ns)",nRuns,0., nRuns);//,600, 0. , 600. );
 210         hPeakTimeVsRun->SetDrawOption("E1");
 211         hPeakTimeVsRun->SetMarkerStyle(20);
 212         hPeakTimeVsRun->SetMarkerColor(kBlue);
 213
 214         TH1F * hSpreadTimeVsRun=new TH1F("hSpreadTimeVsRun","Spread of t^{TOF} (landau fit);run; #sigma(t^{TOF}) (ns)",nRuns,0., nRuns);//, 100, 0. , 100.);
 215         hSpreadTimeVsRun->SetDrawOption("E1");
 216         hSpreadTimeVsRun->SetMarkerStyle(20);
 217         hSpreadTimeVsRun->SetMarkerColor(kBlue);
 218
 219         TH1F * hAvRawTimeVsRun=new TH1F("hAvRawTimeVsRun","Peak value of raw t^{TOF};run;<t_{raw}^{TOF}> (ns)",nRuns,0., nRuns);//, 600, 0. , 600.);
 220         hAvRawTimeVsRun->SetDrawOption("E1");
 221         hAvRawTimeVsRun->SetMarkerStyle(21);
 222         hAvRawTimeVsRun->SetMarkerColor(kGreen);
 223
 224         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.);
 225         hPeakRawTimeVsRun->SetDrawOption("E1");
 226         hPeakRawTimeVsRun->SetMarkerStyle(21);
 227         hPeakRawTimeVsRun->SetMarkerColor(kGreen);
 228
 229         TH1F * hSpreadRawTimeVsRun=new TH1F("hSpreadRawTimeVsRun","Spread of raw t^{TOF} (landau fit);run;#sigma(t_{raw}^{TOF}) (ns)",nRuns,0., nRuns);//, 100, 0. , 100.);
 230         hSpreadRawTimeVsRun->SetDrawOption("E1");
 231         hSpreadRawTimeVsRun->SetMarkerStyle(21);
 232         hSpreadRawTimeVsRun->SetMarkerColor(kGreen);
 233
 234         TH1F * hAvTotVsRun=new TH1F("hAvTotVsRun","<ToT> (no fit);run;<ToT> (ns)",nRuns,0., nRuns);//, 50, 0. , 50.);
 235         hAvTotVsRun->SetDrawOption("E1");
 236         hAvTotVsRun->SetMarkerStyle(22);
 237
 238         TH1F * hPeakTotVsRun=new TH1F("hPeakTotVsRun","<ToT> (gaussian fit);run;ToT_{peak} (ns)",nRuns,0., nRuns);//, 50, 0. , 50.);
 239         hPeakTotVsRun->SetDrawOption("E1");
 240         hPeakTotVsRun->SetMarkerStyle(22);
 241
 242         TH1F * hSpreadTotVsRun=new TH1F("hSpreadTotVsRun","#sigma(ToT) (gaussian fit);#sigma(ToT) (ns)",nRuns,0., nRuns);//, 50, 0. , 50.);
 243         hSpreadTotVsRun->SetDrawOption("E1");
 244         hSpreadTotVsRun->SetMarkerStyle(22);
 245
 246         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.);
 247         hNegTimeRatioVsRun->SetDrawOption("E");
 248
 249         TH1F * hOrphansRatioVsRun=new TH1F("hOrphansRatioVsRun","Ratio of orphans (hits with ToT=0); run; ratio of orphans (%)",nRuns, 0., nRuns);//, 1000, 0. , 100.);
 250         hOrphansRatioVsRun->SetDrawOption("E");
 251
 252         TH1F * hMeanLVsRun=new TH1F("hMeanLVsRun","Average track length;run; <L> (cm)",nRuns, 0., nRuns);//, 350, 350. , 700.);
 253         hMeanLVsRun->SetDrawOption("E");
 254         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.);
 255         hNegLRatioVsRun->SetDrawOption("E");
 256         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.);
 257         hMatchEffVsRun->SetDrawOption("E");
 258         TH1F * hMatchEffVsRunNormToGoodCh=new TH1F("hMatchEffVsRunNormToGoodCh","Matching efficiency normalized to percentage of TOF good channels;run;matching efficiency (pT>1.0 GeV/c)",nRuns, 0., nRuns);//, 100, 0. , 1.);
 259         hMatchEffVsRunNormToGoodCh->SetDrawOption("E");
 260
 261         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);
 262         hMatchEffVsRun1->SetDrawOption("E");
 263         TH1F * hPeakT0AVsRun=new TH1F("hPeakT0AVsRun","Peak value of T0A (gaussian fit);run;t0A (ps)",nRuns,0., nRuns);
 264         TH1F * hPeakT0CVsRun=new TH1F("hPeakT0CVsRun","Peak value of T0C (gaussian fit);run;t0AC (ps)",nRuns,0., nRuns);
 265         TH1F * hPeakT0ACVsRun=new TH1F("hPeakT0ACVsRun","Peak value of T0AC (gaussian fit);run;t0AC (ps)",nRuns,0., nRuns);
 266         TH1F * hT0fillResVsRun=new TH1F("hT0fillResVsRun","t0_fill spread;run;t0_spread (ps)",nRuns,0., nRuns);
 267
 268
 269
 270         lista.Add(hAvDiffTimeVsRun);
 271         lista.Add(hPeakDiffTimeVsRun);
 272         lista.Add(hSpreadDiffTimeVsRun);
 273         lista.Add(hAvTimeVsRun);
 274         lista.Add(hPeakTimeVsRun);
 275         lista.Add(hSpreadTimeVsRun);
 276         lista.Add(  hAvRawTimeVsRun);
 277         lista.Add(  hPeakRawTimeVsRun);
 278         lista.Add(  hSpreadRawTimeVsRun);
 279         lista.Add(  hAvTotVsRun);
 280         lista.Add(  hPeakTotVsRun);
 281         lista.Add(  hSpreadTotVsRun);
 282         lista.Add(  hNegTimeRatioVsRun);
 283         lista.Add(  hOrphansRatioVsRun);
 284         lista.Add( hMeanLVsRun);
 285         lista.Add(  hNegLRatioVsRun);
 286         lista.Add(  hMatchEffVsRun);
 287         lista.Add(hMatchEffVsRunNormToGoodCh);
 288         lista.Add(hPeakT0AVsRun);
 289         lista.Add(hPeakT0CVsRun);
 290         lista.Add(hPeakT0ACVsRun);
 291         lista.Add(hT0fillResVsRun);
 292         char runlabel[6];
 293
 294         for (Int_t irun=0;irun<nRuns;irun++){
 295                 ttree->GetEntry(irun);
 296
 297                 sprintf(runlabel,"%i",runNumber);
 298
 299                 hAvDiffTimeVsRun->SetBinContent(irun+1, avDiffTime);
 300                 hAvDiffTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 301
 302                 hPeakDiffTimeVsRun->SetBinContent(irun+1,peakDiffTime);
 303                 hPeakDiffTimeVsRun->SetBinError(irun+1,peakDiffTimeErr);
 304                 hPeakDiffTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 305
 306                 hSpreadDiffTimeVsRun->SetBinContent(irun+1,spreadDiffTime);
 307                 hSpreadDiffTimeVsRun->SetBinError(irun+1,spreadDiffTimeErr);
 308                 hSpreadDiffTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 309
 310                 hAvTimeVsRun->SetBinContent(irun+1, avTime);
 311                 hAvTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 312
 313                 hPeakTimeVsRun->SetBinContent(irun+1,peakTime);
 314                 hPeakTimeVsRun->SetBinError(irun+1,peakTimeErr);
 315                 hPeakTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 316
 317                 hSpreadTimeVsRun->SetBinContent(irun+1,spreadTime);
 318                 hSpreadTimeVsRun->SetBinError(irun+1,spreadTimeErr);
 319                 hSpreadTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 320
 321                 hAvRawTimeVsRun->SetBinContent(irun+1, avRawTime);
 322                 hAvRawTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 323
 324                 hPeakRawTimeVsRun->SetBinContent(irun+1,peakRawTime);
 325                 hPeakRawTimeVsRun->SetBinError(irun+1,peakRawTimeErr);
 326                 hPeakRawTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 327
 328                 hSpreadRawTimeVsRun->SetBinContent(irun+1,spreadRawTime);
 329                 hSpreadRawTimeVsRun->SetBinError(irun+1,spreadRawTimeErr);
 330                 hSpreadRawTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 331
 332                 hAvTotVsRun->SetBinContent(irun+1,avTot);
 333                 hAvTotVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 334
 335                 hPeakTotVsRun->SetBinContent(irun+1,peakTot);
 336                 hPeakTotVsRun->SetBinError(irun+1,peakTotErr);
 337                 hPeakTotVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 338
 339                 hSpreadTotVsRun->SetBinContent(irun+1,spreadTot);
 340                 hSpreadTotVsRun->SetBinError(irun+1,spreadTotErr);
 341                 hSpreadTotVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 342
 343                 hNegTimeRatioVsRun->SetBinContent(irun+1,negTimeRatio);
 344                 hNegTimeRatioVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 345
 346                 hOrphansRatioVsRun->SetBinContent(irun+1,orphansRatio);
 347                 hOrphansRatioVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 348
 349                 hMeanLVsRun->SetBinContent(irun+1,avL);
 350                 hMeanLVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 351
 352                 hNegLRatioVsRun->SetBinContent(irun+1,negLratio);
 353                 hNegLRatioVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 354
 355                 hMatchEffVsRun->SetBinContent(irun+1,matchEffLinFit1Gev);
 356                 hMatchEffVsRun->SetBinError(irun+1,matchEffLinFit1GevErr);
 357                 hMatchEffVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 358                 hMatchEffVsRun->SetLineColor(kRed);
 359                 hMatchEffVsRun->SetLineWidth(2);
 360
 361                 if (goodChannelRatio>0)
 362                   hMatchEffVsRunNormToGoodCh->SetBinContent(irun+1,matchEffLinFit1Gev/goodChannelRatio);
 363                 else
 364                   hMatchEffVsRunNormToGoodCh->SetBinContent(irun+1, 0.0);
 365                 hMatchEffVsRunNormToGoodCh->SetBinError(irun+1,matchEffLinFit1GevErr);
 366                 hMatchEffVsRunNormToGoodCh->GetXaxis()->SetBinLabel(irun+1,runlabel);
 367                 hMatchEffVsRunNormToGoodCh->SetLineColor(kBlue);
 368                 hMatchEffVsRunNormToGoodCh->SetLineWidth(2);
 369
 370                 hPeakT0AVsRun->SetBinContent(irun+1,peakT0A);
 371                 hPeakT0AVsRun->SetBinError(irun+1,spreadT0A);
 372                 hPeakT0AVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 373
 374                 hPeakT0CVsRun->SetBinContent(irun+1,peakT0C);
 375                 hPeakT0CVsRun->SetBinError(irun+1,spreadT0C);
 376                 hPeakT0CVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 377
 378                 hPeakT0ACVsRun->SetBinContent(irun+1,peakT0AC);
 379                 hPeakT0ACVsRun->SetBinError(irun+1,spreadT0AC);
 380                 hPeakT0ACVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 381
 382                 hT0fillResVsRun->SetBinContent(irun+1,avT0fillRes);
 383                 hT0fillResVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
 384
 385         }
 386
 387         char  outfilename[200];
 388         sprintf(outfilename, "trend_%s",trendFileName);
 389         TFile * fout=new TFile(outfilename,"recreate");
 390         fout->cd();
 391         lista.Write();
 392         fout->Close();
 393
 394         TString plotDir(Form("PlotsTrending"));
 395         gSystem->Exec(Form("mkdir %s",plotDir.Data()));
 396
 397         TCanvas* cPeakDiffTimeVsRun = new TCanvas("cPeakDiffTimeVsRun","cPeakDiffTimeVsRun", 50,50,750,550);
 398         hPeakDiffTimeVsRun->GetYaxis()->SetRangeUser(-50.,50.);
 399         hPeakDiffTimeVsRun->Draw();
 400         cPeakDiffTimeVsRun->Print(Form("%s/cPeakDiffTimeVsRun.png",plotDir.Data()));
 401
 402         TCanvas* cSpreadDiffTimeVsRun = new TCanvas("cSpreadDiffTimeVsRun","cSpreadDiffTimeVsRun", 50,50,750,550);
 403         hSpreadDiffTimeVsRun->GetYaxis()->SetRangeUser(200.,400.);
 404         hSpreadDiffTimeVsRun->Draw();
 405         cSpreadDiffTimeVsRun->Print(Form("%s/cSpreadDiffTimeVsRun.png",plotDir.Data()));
 406
 407         TCanvas* cMatchEffVsRun = new TCanvas("cMatchEffVsRun","cMatchEffVsRun",50, 50, 750,550);
 408         hMatchEffVsRun->GetYaxis()->SetRangeUser(0.,1.);
 409         hMatchEffVsRun->Draw();
 410         cMatchEffVsRun->Print(Form("%s/cMatchEffVsRun.png",plotDir.Data()));
 411
 412         TCanvas* cMatchEffNormToGoodCh = new TCanvas("cMatchEffNormToGoodCh","cMatchEffNormToGoodCh",50, 50,750,550);
 413         hMatchEffVsRunNormToGoodCh->GetYaxis()->SetRangeUser(0.,1.);
 414         hMatchEffVsRunNormToGoodCh->Draw();
 415         cMatchEffNormToGoodCh->Print(Form("%s/cMatchEffNormToGoodCh.png",plotDir.Data()));
 416
 417         TCanvas* cPeakT0AVsRun = new TCanvas("cPeakT0AVsRun","cPeakT0AVsRun", 50,50,750,550);
 418         hPeakT0AVsRun->Draw();
 419         cPeakT0AVsRun->Print(Form("%s/cPeakT0AVsRun.png",plotDir.Data()));
 420
 421         TCanvas* cPeakT0CVsRun = new TCanvas("cPeakT0CVsRun","cPeakT0CVsRun", 50,50,750,550);
 422         hPeakT0CVsRun->Draw();
 423         cPeakT0CVsRun->Print(Form("%s/cPeakT0CVsRun.png",plotDir.Data()));
 424
 425         TCanvas* cPeakT0ACVsRun = new TCanvas("cPeakT0ACVsRun","cPeakT0ACVsRun", 50,50,750,550);
 426         hPeakT0ACVsRun->Draw();
 427         cPeakT0ACVsRun->Print(Form("%s/cPeakT0ACVsRun.png",plotDir.Data()));
 428
 429         TCanvas* cT0fillResVsRun = new TCanvas("cT0fillResVsRun","cT0fillResVsRun", 50,50,750,550);
 430         hT0fillResVsRun->Draw();
 431         cT0fillResVsRun->Print(Form("%s/cT0fillResVsRun.png",plotDir.Data()));
 432
 433         if (displayAll) {
 434           TCanvas* cAvDiffTimeVsRun = new TCanvas("cAvDiffTimeVsRun","cAvDiffTimeVsRun",50,50,750,550);
 435           gPad->SetGridx();
 436           gPad->SetGridy();
 437           hAvDiffTimeVsRun->Draw();
 438           cAvDiffTimeVsRun->Print(Form("%s/cAvDiffTimeVsRun.png",plotDir.Data()));
 439
 440           TCanvas* cAvTimeVsRun = new TCanvas("cAvTimeVsRun","cAvTimeVsRun", 50,50,750,550);
 441           hAvTimeVsRun->Draw();
 442           cAvTimeVsRun->Print(Form("%s/cAvTimeVsRun.png",plotDir.Data()));
 443
 444           TCanvas* cPeakTimeVsRun = new TCanvas("cPeakTimeVsRun","cPeakTimeVsRun", 50,50,750,550);
 445           hPeakTimeVsRun->Draw();
 446           cPeakTimeVsRun->Print(Form("%s/cPeakTimeVsRun.png",plotDir.Data()));
 447
 448           TCanvas* cSpreadTimeVsRun = new TCanvas("cSpreadTimeVsRun","cSpreadTimeVsRun", 50,50,750,550);
 449           hSpreadTimeVsRun->Draw();
 450           cSpreadTimeVsRun->Print(Form("%s/cSpreadTimeVsRun.png",plotDir.Data()));
 451
 452           TCanvas* cAvRawTimeVsRun = new TCanvas("cAvRawTimeVsRun","cAvRawTimeVsRun", 50,50,750,550);
 453           hAvRawTimeVsRun->Draw();
 454           cAvRawTimeVsRun->Print(Form("%s/cAvRawTimeVsRun.png",plotDir.Data()));
 455
 456           TCanvas* cPeakRawTimeVsRun = new TCanvas("cPeakRawTimeVsRun","cPeakRawTimeVsRun", 50,50,750,550);
 457           hPeakRawTimeVsRun->Draw();
 458           cPeakRawTimeVsRun->Print(Form("%s/cPeakRawTimeVsRun.png",plotDir.Data()));
 459
 460           TCanvas* cSpreadRawTimeVsRun = new TCanvas("cSpreadRawTimeVsRun","cSpreadRawTimeVsRun", 50,50,750,550);
 461           hSpreadRawTimeVsRun->Draw();
 462           cSpreadRawTimeVsRun->Print(Form("%s/cSpreadRawTimeVsRun.png",plotDir.Data()));
 463
 464           TCanvas* cAvTotVsRun = new TCanvas("cAvTotVsRun","cAvTotVsRun", 50,50,750,550);
 465           hAvTotVsRun->Draw();
 466           cAvTotVsRun->Print(Form("%s/cAvTotVsRun.png",plotDir.Data()));
 467
 468           TCanvas* cPeakTotVsRun = new TCanvas("cPeakTotVsRun","cPeakTotVsRun", 50,50,750,550);
 469           hPeakTotVsRun->Draw();
 470           cPeakTotVsRun->Print(Form("%s/cPeakTotVsRun.png",plotDir.Data()));
 471
 472           TCanvas* cSpreadTotVsRun = new TCanvas("cSpreadTotVsRun","cSpreadTotVsRun", 50,50,750,550);
 473           hSpreadTotVsRun->Draw();
 474           cSpreadTotVsRun->Print(Form("%s/cSpreadTotVsRun.png",plotDir.Data()));
 475
 476           TCanvas* cNegTimeRatioVsRun = new TCanvas("cNegTimeRatioVsRun","cNegTimeRatioVsRun", 50,50,750,550);
 477           hNegTimeRatioVsRun->Draw();
 478           cNegTimeRatioVsRun->Print(Form("%s/cNegTimeRatioVsRun.png",plotDir.Data()));
 479
 480           TCanvas* cOrphansRatioVsRun = new TCanvas("cOrphansRatioVsRun","cOrphansRatioVsRun", 50,50,750,550);
 481           hOrphansRatioVsRun->Draw();
 482           cOrphansRatioVsRun->Print(Form("%s/cOrphansRatioVsRun.png",plotDir.Data()));
 483
 484           TCanvas* cMeanLVsRun = new TCanvas("cMeanLVsRun","cMeanLVsRun", 50,50,750,550);
 485           hMeanLVsRun->Draw();
 486           cMeanLVsRun->Print(Form("%s/cMeanLVsRun.png",plotDir.Data()));
 487
 488           TCanvas* cNegLRatioVsRun = new TCanvas("cNegLRatioVsRun","cNegLRatioVsRun", 50,50,750,550);
 489           hNegLRatioVsRun->Draw();
 490           cNegLRatioVsRun->Print(Form("%s/cNegLRatioVsRun.png",plotDir.Data()));
 491         }
 492
 493         return 0;
 494 }
 495
 496 //-------------------------------------------------------------------------
 497 Int_t MakePostQAtree(Int_t runNumber, Bool_t isMC=kFALSE, char * postFileName="postQA.0.root",char * treePostFileName="treePostQA.0.root"){
 498
 499        TFile *postfile=TFile::Open(postFileName);
 500        if (!postfile) {
 501           printf("Post-analysis output not found - cannot perform trending analysis. Exiting.");
 502           return -1;
 503         }
 504        Printf("==============  Getting post-analysis info for run %i ===============\n",runNumber);
 505        TFile * trendFile=new TFile(treePostFileName,"recreate");
 506
 507         Double_t avTime=-9999., peakTime=-9999., spreadTime=-9999., peakTimeErr=-9999., spreadTimeErr=-9999., negTimeRatio=-9999.,
 508                 avRawTime=-9999., peakRawTime=-9999., spreadRawTime=-9999., peakRawTimeErr=-9999., spreadRawTimeErr=-9999.,
 509                 avTot=-9999., peakTot=-9999.,spreadTot=-9999.,  peakTotErr=-9999.,spreadTotErr=-9999.,
 510                 orphansRatio=-9999., avL=-9999., negLratio=-9999.,
 511                 effPt1=-9999., effPt2=-9999., matchEffLinFit1Gev=-9999.,matchEffLinFit1GevErr=-9999.;
 512
 513         Double_t avPiDiffTime=-9999.,peakPiDiffTime=-9999., spreadPiDiffTime=-9999.,peakPiDiffTimeErr=-9999., spreadPiDiffTimeErr=-9999.;
 514
 515         Double_t avT0A=-9999.,peakT0A=-9999., spreadT0A=-9999.,peakT0AErr=-9999., spreadT0AErr=-9999.;
 516         Double_t avT0C=-9999.,peakT0C=-9999., spreadT0C=-9999.,peakT0CErr=-9999., spreadT0CErr=-9999.;
 517         Double_t avT0AC=-9999.,peakT0AC=-9999., spreadT0AC=-9999.,peakT0ACErr=-9999., spreadT0ACErr=-9999.;
 518         Double_t avT0res=-9999.,peakT0res=-9999., spreadT0res=-9999.,peakT0resErr=-9999., spreadT0resErr=-9999.;
 519         Double_t avT0fillRes=-9999.;
 520
 521         Int_t avMulti=0;
 522         Float_t fractionEventsWHits=-9999.;
 523         /*number of good (HW ok && efficient && !noisy) TOF channels from OCDB*/
 524         Double_t goodChannelRatio=0.0;
 525
 526         TTree * ttree=new TTree("trendTree","tree of trending variables");
 527         ttree->Branch("run",&runNumber,"run/I");
 528         ttree->Branch("avMulti",&avMulti,"avMulti/I");
 529         ttree->Branch("fractionEventsWHits",&fractionEventsWHits,"fractionEventsWHits/F");
 530         ttree->Branch("goodChannelsRatio",&goodChannelRatio,"goodChannelRatio/D");
 531         ttree->Branch("avTime",&avTime,"avTime/D"); //mean time
 532         ttree->Branch("peakTime",&peakTime,"peakTime/D"); //main peak time after fit
 533         ttree->Branch("spreadTime",&spreadTime,"spreadTime/D"); //spread of main peak of time after fit
 534         ttree->Branch("peakTimeErr",&peakTimeErr,"peakTimeErr/D"); //main peak time after fit error
 535         ttree->Branch("spreadTimeErr",&spreadTimeErr,"spreadTimeErr/D"); //spread of main peak of time after fit error
 536         ttree->Branch("negTimeRatio",&negTimeRatio,"negTimeRatio/D"); //negative time ratio
 537
 538         ttree->Branch("avRawTime",&avRawTime,"avRawTime/D"); //mean raw time
 539         ttree->Branch("peakRawTime",&peakRawTime,"peakRawTime/D"); //mean peak of RAW TIME after fit
 540         ttree->Branch("spreadRawTime",&spreadRawTime,"spreadRawTime/D"); //spread of main peak of raw time after fit
 541         ttree->Branch("peakRawTimeErr",&peakRawTimeErr,"peakRawTimeErr/D"); //main peak raw  time after fit error
 542         ttree->Branch("spreadRawTimeErr",&spreadRawTimeErr,"spreadRawTimeErr/D"); //spread of  raw main peak of time after fit error
 543
 544         ttree->Branch("avTot",&avTot,"avTot/D"); //main peak tot
 545         ttree->Branch("peakTot",&peakTot,"peakTot/D"); // main peak of tot after fit
 546         ttree->Branch("spreadTot",&spreadTot,"spreadTot/D"); //spread of main peak of tot after fit
 547         ttree->Branch("peakTotErr",&peakTotErr,"peakTotErr/D"); // main peak of tot after fit
 548         ttree->Branch("spreadTotErr",&spreadTotErr,"spreadTotErr/D"); //spread of main peak of tot after fit
 549
 550         ttree->Branch("orphansRatio",&orphansRatio,"orphansRatio/D"); //orphans ratio
 551
 552         ttree->Branch("avL",&avL,"avL/D"); //mean track length
 553         ttree->Branch("negLratio",&negLratio,"negLratio/D");//ratio of tracks with track length <350 cm
 554         ttree->Branch("effPt1",&effPt1,"effPt1/D");//matching eff at 1 GeV/c
 555         ttree->Branch("effPt2",&effPt2,"effPt2/D"); //matching eff at 2 GeV/c
 556         ttree->Branch("matchEffLinFit1Gev",&matchEffLinFit1Gev,"matchEffLinFit1Gev/D");//matching eff fit param
 557         ttree->Branch("matchEffLinFit1GevErr",&matchEffLinFit1GevErr,"matchEffLinFit1GevErr/D");////matching eff fit param error
 558
 559         ttree->Branch("avPiDiffTime",&avPiDiffTime,"avPiDiffTime/D"); //mean t-texp
 560         ttree->Branch("peakPiDiffTime",&peakPiDiffTime,"peakPiDiffTime/D"); //main peak t-texp after fit
 561         ttree->Branch("spreadPiDiffTime",&spreadPiDiffTime,"spreadPiDiffTime/D"); //spread of main peak t-texp after fit
 562         ttree->Branch("peakPiDiffTimeErr",&peakPiDiffTimeErr,"peakPiDiffTimeErr/D"); //main peak t-texp after fit error
 563         ttree->Branch("spreadPiDiffTimeErr",&spreadPiDiffTimeErr,"spreadPiDiffTimeErr/D"); //spread of main peak of t-texp after fit error
 564
 565         ttree->Branch("avT0A",&avT0A,"avT0A/D"); //main peak t0A
 566         ttree->Branch("peakT0A",&peakT0A,"peakT0A/D"); // main peak of t0A after fit
 567         ttree->Branch("spreadT0A",&spreadT0A,"spreadTot/D"); //spread of main peak of t0A after fit
 568         ttree->Branch("peakT0AErr",&peakT0AErr,"peakT0AErr/D"); // main peak of t0A after fit
 569         ttree->Branch("spreadT0AErr",&spreadT0AErr,"spreadT0AErr/D"); //spread of main peak of t0A after fit
 570
 571         ttree->Branch("avT0C",&avT0C,"avT0C/D"); //main peak t0C
 572         ttree->Branch("peakT0C",&peakT0C,"peakT0C/D"); // main peak of t0C after fit
 573         ttree->Branch("spreadT0C",&spreadT0C,"spreadT0C/D"); //spread of main peak of t0C after fit
 574         ttree->Branch("peakT0CErr",&peakT0CErr,"peakT0CErr/D"); // main peak of t0C after fit
 575         ttree->Branch("spreadT0CErr",&spreadT0CErr,"spreadT0CErr/D"); //spread of main peak of t0C after fit
 576
 577         ttree->Branch("avT0AC",&avT0AC,"avT0AC/D"); //main peak t0AC
 578         ttree->Branch("peakT0AC",&peakT0AC,"peakT0AC/D"); // main peak of t0AC after fit
 579         ttree->Branch("spreadT0AC",&spreadT0AC,"spreadT0AC/D"); //spread of main peak of t0AC after fit
 580         ttree->Branch("peakT0ACErr",&peakT0ACErr,"peakT0ACErr/D"); // main peak of t0AC after fit
 581         ttree->Branch("spreadT0ACErr",&spreadT0ACErr,"spreadT0ACErr/D"); //spread of main peak of t0AC after fit
 582
 583         ttree->Branch("avT0res",&avT0res,"avT0res/D"); //main peak t0AC
 584         ttree->Branch("peakT0res",&peakT0res,"peakT0res/D"); // main peak of t0AC after fit
 585         ttree->Branch("spreadT0res",&spreadT0res,"spreadT0res/D"); //spread of main peak of t0AC after fit
 586         ttree->Branch("peakT0resErr",&peakT0resErr,"peakT0resErr/D"); // main peak of t0AC after fit
 587         ttree->Branch("spreadT0resErr",&spreadT0resErr,"spreadT0resErr/D"); //spread of main peak of t0AC after fit
 588         ttree->Branch("avT0fillRes",&avT0fillRes,"avT0fillRes/D"); //t0 fill res
 589
 590         //postfile->ls();
 591         //save quantities for trending
 592         goodChannelRatio=(Double_t)GetGoodTOFChannelsRatio(runNumber);
 593
 594         //--------------------------------- Multiplicity ----------------------------------//
 595         TH1F*hMulti=(TH1F*)postfile->Get("hTOFmatchedPerEvt");
 596         if ((hMulti)&&(hMulti->GetEntries()>0)) {
 597           avMulti=hMulti->GetMean();
 598         }
 599
 600         //--------------------------------- T0F signal ----------------------------------//
 601
 602         TH1F*hTime=(TH1F*)postfile->Get("hTOFmatchedESDtime");
 603         if ((hTime)&&(hTime->GetEntries()>0)) {
 604           avTime=hTime->GetMean();
 605           hTime->Fit("landau","","",0.,50.);
 606           peakTime=(hTime->GetFunction("landau"))->GetParameter(1);
 607           spreadTime=(hTime->GetFunction("landau"))->GetParameter(2);
 608           peakTimeErr=(hTime->GetFunction("landau"))->GetParError(1);
 609           spreadTimeErr=(hTime->GetFunction("landau"))->GetParError(2);
 610
 611           negTimeRatio=((Double_t)hTime->Integral(1,3)*100.)/((Double_t)hTime->Integral());
 612           printf("Main peak time (landau): mean = %f +- %f\n",peakTime,peakTimeErr );
 613           printf("Main peak time (landau): spread = %f +- %f\n",spreadTime,spreadTimeErr );
 614           printf("Ratio of tracks with time<12.5 ns / total = %f\n",negTimeRatio );
 615
 616           //add integral of main peak over total
 617         }
 618         printf("---------------------------------------------------------------- \n");
 619         TH1F * hRawTime = (TH1F*)postfile->Get("hTOFmatchedESDrawTime");
 620         if ((hRawTime)&&(hRawTime->GetEntries()>0)){
 621           avRawTime=hRawTime->GetMean();
 622           if (!isMC){
 623             hRawTime->Fit("landau","","",200.,250.);
 624             peakRawTime=(hRawTime->GetFunction("landau"))->GetParameter(1);
 625             spreadRawTime=(hRawTime->GetFunction("landau"))->GetParameter(2);
 626             peakRawTimeErr=(hRawTime->GetFunction("landau"))->GetParError(1);
 627             spreadRawTimeErr=(hRawTime->GetFunction("landau"))->GetParError(2);
 628             printf("Main peak raw time (landau): mean = %f +- %f\n",peakTime,peakTimeErr );
 629             printf("Main peak raw time (landau): spread = %f +- %f\n",spreadRawTime,spreadRawTimeErr );
 630           } else {
 631            printf("Reminder: Raw time not available in MC simulated data.");
 632            }
 633         }
 634
 635         printf("---------------------------------------------------------------- \n");
 636
 637         TH1F * hTot = (TH1F*)postfile->Get("hTOFmatchedESDToT");
 638         if ((hTot)&&(hTot->GetEntries()>0)){
 639           avTot=hTot->GetMean();
 640           hTot->Fit("gaus","","",0.,50.);
 641           peakTot=(hTot->GetFunction("gaus"))->GetParameter(1);
 642           spreadTot=(hTot->GetFunction("gaus"))->GetParameter(2);
 643           peakTotErr=(hTot->GetFunction("gaus"))->GetParError(1);
 644           spreadTotErr=(hTot->GetFunction("gaus"))->GetParError(2);
 645           printf("Main peak ToT (gaus): mean = %f +- %f\n",peakTot,peakTotErr );
 646           printf("Main peak ToT (gaus): spread = %f +- %f\n",spreadTot,spreadTotErr );
 647         }
 648         printf("---------------------------------------------------------------- \n");
 649         TH1F * hOrphansRatio=(TH1F*)postfile->Get("hOrphansRatio");
 650         if (hOrphansRatio)
 651           orphansRatio=hOrphansRatio->GetMean();
 652
 653         TH1F * hL=(TH1F*)postfile->Get("hTOFmatchedESDtrkLength");
 654         if (hL)
 655           avL=hL->GetMean();
 656
 657         TH1F *hLnegRatio =(TH1F*)postfile->Get("hLnegRatio");
 658         if (hLnegRatio)
 659           negLratio=hLnegRatio->GetMean();
 660
 661         //--------------------------------- matching eff ----------------------------------//
 662
 663         //Double_t linFitEff1Param[3]={0.,0.,0.};
 664         TH1F *hMatchingVsPt =(TH1F*)postfile->Get("hTOFmatchedESDPt");
 665         if (hMatchingVsPt) {
 666           if (hMatchingVsPt->GetEntries()>0){
 667             hMatchingVsPt->Fit("pol0","","",1.0,5.);
 668             hMatchingVsPt->Draw();
 669             if (hMatchingVsPt->GetFunction("pol0")){
 670               matchEffLinFit1Gev=(hMatchingVsPt->GetFunction("pol0"))->GetParameter(0);
 671               matchEffLinFit1GevErr=(hMatchingVsPt->GetFunction("pol0"))->GetParError(0);
 672               printf("Matching efficiency fit param is %f +- %f\n",matchEffLinFit1Gev,matchEffLinFit1GevErr );
 673             }
 674           } else {
 675             printf("WARNING: matching efficiency plot has 0 entries. Skipped!\n");
 676           }
 677         } else {
 678           printf("WARNING: cannot retrieve matching efficiency plot\n");
 679         }
 680
 681         //--------------------------------- t-texp ----------------------------------//
 682
 683         TH1F*hPiDiffTime=(TH1F*)postfile->Get("hTOFmatchedExpTimePi");
 684         if ((hPiDiffTime)&&(hPiDiffTime->GetEntries()>0)) {
 685           avPiDiffTime=hPiDiffTime->GetMean();
 686           hPiDiffTime->Fit("gaus","","",-1000.,500.);
 687           if (hPiDiffTime->GetFunction("gaus")){
 688             peakPiDiffTime=(hPiDiffTime->GetFunction("gaus"))->GetParameter(1);
 689             spreadPiDiffTime=(hPiDiffTime->GetFunction("gaus"))->GetParameter(2);
 690             peakPiDiffTimeErr=(hPiDiffTime->GetFunction("gaus"))->GetParError(1);
 691             spreadPiDiffTimeErr=(hPiDiffTime->GetFunction("gaus"))->GetParError(2);
 692             printf("Main peak t-t_exp (gaus): mean = %f +- %f\n",peakPiDiffTime,peakPiDiffTimeErr );
 693             printf("Main peak t-t_exp (gaus): spread = %f +- %f\n",spreadPiDiffTime,spreadPiDiffTimeErr );
 694           }
 695         }
 696         //--------------------------------- T0 detector ----------------------------------//
 697
 698         TH1F*hT0A=(TH1F*)postfile->Get("hEventT0DetA");
 699         if ((hT0A)&&(hT0A->GetEntries()>0)) {
 700           avhT0A=hT0A->GetMean();
 701           hT0A->Fit("gaus");
 702           peakT0A=(hT0A->GetFunction("gaus"))->GetParameter(1);
 703           spreadT0A=(hT0A->GetFunction("gaus"))->GetParameter(2);
 704           peakT0AErr=(hT0A->GetFunction("gaus"))->GetParError(1);
 705           spreadT0AErr=(hT0A->GetFunction("gaus"))->GetParError(2);
 706           printf("Main peak T0A(gaus): mean = %f +- %f\n",peakT0A,peakT0AErr );
 707           printf("Main peak T0A (gaus): spread = %f +- %f\n",spreadT0A,spreadT0AErr );
 708           //add integral of main peak over total
 709         }
 710
 711         TH1F*hT0C=(TH1F*)postfile->Get("hEventT0DetC");
 712         if ((hT0C)&&(hT0C->GetEntries()>0)) {
 713           avhT0C=hT0C->GetMean();
 714           hT0C->Fit("gaus");
 715           peakT0C=(hT0C->GetFunction("gaus"))->GetParameter(1);
 716           spreadT0C=(hT0C->GetFunction("gaus"))->GetParameter(2);
 717           peakT0CErr=(hT0C->GetFunction("gaus"))->GetParError(1);
 718           spreadT0CErr=(hT0C->GetFunction("gaus"))->GetParError(2);
 719           printf("Main peak T0C(gaus): mean = %f +- %f\n",peakT0C,peakT0CErr );
 720           printf("Main peak T0C (gaus): spread = %f +- %f\n",spreadT0C,spreadT0CErr );
 721           //add integral of main peak over total
 722         }
 723
 724         TH1F*hT0AC=(TH1F*)postfile->Get("hEventT0DetAND");
 725         if ((hT0AC)&&(hT0AC->GetEntries()>0)) {
 726           avhT0AC=hT0AC->GetMean();
 727           hT0AC->Fit("gaus");
 728           peakT0AC=(hT0AC->GetFunction("gaus"))->GetParameter(1);
 729           spreadT0AC=(hT0AC->GetFunction("gaus"))->GetParameter(2);
 730           peakT0ACErr=(hT0AC->GetFunction("gaus"))->GetParError(1);
 731           spreadT0ACErr=(hT0AC->GetFunction("gaus"))->GetParError(2);
 732           printf("Main peak T0AC(gaus): mean = %f +- %f\n",peakT0AC,peakT0ACErr );
 733           printf("Main peak T0AC (gaus): spread = %f +- %f\n",spreadT0AC,spreadT0ACErr );
 734         }
 735
 736         TH1F*hT0res=(TH1F*)postfile->Get("hT0DetRes");
 737         if ((hT0res)&&(hT0res->GetEntries()>0)) {
 738           avhT0res=hT0res->GetMean();
 739           hT0res->Fit("gaus");
 740           peakT0res=(hT0res->GetFunction("gaus"))->GetParameter(1);
 741           spreadT0res=(hT0res->GetFunction("gaus"))->GetParameter(2);
 742           peakT0resErr=(hT0res->GetFunction("gaus"))->GetParError(1);
 743           spreadT0resErr=(hT0res->GetFunction("gaus"))->GetParError(2);
 744           printf("Main peak T0res(gaus): mean = %f +- %f\n",peakT0res,peakT0resErr );
 745           printf("Main peak T0res (gaus): spread = %f +- %f\n",spreadT0res,spreadT0resErr );
 746           //add integral of main peak over total
 747         }
 748
 749         TH1F*hT0fillRes=(TH1F*)postfile->Get("hT0fillRes");
 750         if ((hT0fillRes)&&(hT0fillRes->GetEntries()>0)) {
 751           avT0fillRes=hT0fillRes->GetMean();
 752         }
 753
 754         ttree->Fill();
 755         printf("==============  Saving trending quantities in tree for run %i ===============\n",runNumber);
 756         if (postfile->IsOpen()) {
 757           printf("Trying to close\n");
 758           postfile->Close();
 759         }
 760
 761         trendFile->cd();
 762         ttree->Write();
 763         trendFile->Close();
 764         return  0;
 765 }
 766
 767 //------------------------------------------------------------------------------------
 768
 769 Int_t RunESDQApostAnalysis(char *qafilename=NULL, Int_t runNumber=-1, Bool_t isMC=kFALSE, Bool_t IsOnGrid=kFALSE, Bool_t canvasE=kFALSE) {
 770
 771         Bool_t debug=kFALSE;
 772
 773         /*access qa PWGPP output files - saved locally or on grid as specified by the second argument */
 774
 775         char defaultQAoutput[30]="QAresults.root";
 776         if (IsOnGrid) TGrid::Connect("alien://");
 777         TFile * fin= TFile::Open(qafilename,"r");
 778         printf("Opening file %s\n",qafilename);
 779         if (!fin) {
 780                 printf("ERROR: QA output not found. Exiting with status -1\n");
 781                 return -1;
 782         } else {
 783                 printf("INFO: QA output file %s open. \n",fin->GetName());
 784         }
 785
 786
 787         //access histograms lists
 788         char tofQAdirName[15]="TOF_Performance";
 789         char genListName[15]="cGeneralTOFqa";
 790         char t0ListName[15]="cTimeZeroTOFqa";
 791         char pidListName[15]="cPIDTOFqa";
 792         char posListName[15]="cPositiveTOFqa";
 793         char negListName[15]="cNegativeTOFqa";
 794
 795         TDirectoryFile * tofQAdir=(TDirectoryFile*)fin->Get(tofQAdirName);
 796         if(debug){
 797                 printf("------------------------------------------------------------------\n");
 798                 tofQAdir->ls();
 799                 printf("------------------------------------------------------------------\n");
 800         }
 801
 802         TList * generalList=(TList*)tofQAdir->Get(genListName);
 803         TList  *timeZeroList=(TList*)tofQAdir->Get(t0ListName);
 804         TList  *pidList=(TList*)tofQAdir->Get(pidListName);
 805         TList  *posList=(TList*)tofQAdir->Get(posListName);
 806         TList  *negList=(TList*)tofQAdir->Get(negListName);
 807
 808         if (!generalList) printf("WARNING: general QA histograms absent or not accessible\n");
 809         if (!timeZeroList) printf("WARNING: timeZero QA histograms absent or not accessible\n");
 810         if (!pidList) printf("WARNING: PID QA histograms absent or not accessible\n");
 811         if (!posList) printf("WARNING: general QA histograms for positive tracks absent or not accessible\n");
 812         if (!negList) printf("WARNING: general QA histograms for negative tracks absent or not accessible\n");
 813
 814         if ( (!generalList) && (!timeZeroList) && (!pidList) ){
 815                 printf("ERROR: no QA available \n");
 816                 return 1;
 817         }
 818
 819         if (debug){
 820                 generalList->ls();
 821                 printf("------------------------------------------------------------------\n");
 822                 timeZeroList->ls();
 823                 printf("------------------------------------------------------------------\n");
 824                 pidList->ls();
 825                 printf("------------------------------------------------------------------\n");
 826         }
 827
 828         /*set graphic style*/
 829         gStyle->SetCanvasColor(kWhite);
 830         gStyle->SetFrameFillColor(kWhite);
 831         gStyle->SetFrameBorderMode(0);
 832         gStyle->SetCanvasBorderMode(0);
 833         gStyle->SetTitleFillColor(kWhite);
 834         gStyle->SetTitleBorderSize(0)  ;
 835         gStyle->SetTitleFont(42);
 836         gStyle->SetTextFont(42);
 837         //gStyle->SetPalette(1);
 838         gStyle->SetStatColor(kWhite);
 839         gStyle->SetStatBorderSize(1);
 840         gStyle->SetOptStat(0);
 841
 842         //DEFINE OUTPUT FILE
 843         char outfilename[60];
 844         sprintf(outfilename,"postQA_%i.root",runNumber);
 845         TFile * fout=new TFile(outfilename,"recreate");
 846
 847         TH1I* hRunNumber=new TH1I("hRunNumber","hRunNumber;run",1,runNumber,runNumber+1);
 848         hRunNumber->Fill(runNumber);
 849
 850         //-------------------------------------------------------------
 851         /*GENERAL MONITOR - MULTIPLICITY*/
 852         TH1F*hMulti= (TH1F*) generalList->At(0);
 853
 854         TH1F* hFractionEventsWhits=new TH1F("hFractionEventsWhits","hFractionEventsWhits;fraction of events with hits (%)",200,0.,100.);
 855         Float_t fraction=0.0;
 856         if (hMulti->GetEntries()>0.0) fraction=((Float_t) hMulti->GetBinContent(1))/((Float_t) hMulti->GetEntries());
 857         else fraction=0.0;
 858         hFractionEventsWhits->Fill(fraction*100.);
 859
 860         //-------------------------------------------------------------
 861         /*GENERAL MONITOR - TIMING AND GEOMETRY*/
 862         TH1F * hTime = (TH1F*) generalList->At(1);
 863         hTime->SetMarkerStyle(8);
 864         hTime->SetMarkerSize(0.7);
 865         hTime->SetMarkerColor(kBlue);
 866         hTime->SetLineColor(kBlue);
 867         hTime->SetFillColor(kBlue);
 868         hTime->SetFillStyle(3001);
 869         hTime->Rebin(2);
 870         hTime->GetYaxis()->SetTitle("matched tracks");
 871         hTime->GetYaxis()->SetTitleOffset(1.35);
 872
 873         TH1F * hRawTime = (TH1F*) generalList->At(2);
 874         hRawTime->SetMarkerStyle(21);
 875         hRawTime->SetMarkerSize(0.7);
 876         hRawTime->SetMarkerColor(kGreen);
 877         hRawTime->SetLineColor(kGreen);
 878         hRawTime->SetFillColor(kGreen);
 879         hRawTime->SetFillStyle(3001);
 880         hRawTime->Rebin(2);
 881         hRawTime->GetYaxis()->SetTitle("matched tracks");
 882         hRawTime->GetYaxis()->SetTitleOffset(1.35);
 883
 884         TLegend *lTime = new TLegend(0.7125881,0.6052519,0.979435,0.7408306,NULL,"brNDC");
 885         lTime->SetTextSize(0.04281433);
 886         lTime->AddEntry(hRawTime, "raw","L");
 887         lTime->AddEntry(hTime, "ESD","L");
 888         lTime->SetFillColor(kWhite);
 889         lTime->SetShadowColor(0);
 890
 891         TH1F * hTot = (TH1F*) generalList->At(3);
 892         hTot->SetMarkerStyle(8);
 893         hTot->SetMarkerSize(0.7);
 894         hTot->SetMarkerColor(kViolet-3);
 895         hTot->SetLineColor(kViolet-3);
 896         hTot->SetFillColor(kViolet-3);
 897         hTot->SetFillStyle(3001);
 898         //hTime->SetDrawOption();
 899         hTot->GetYaxis()->SetTitle("matched tracks");
 900         hTot->GetYaxis()->SetTitleOffset(1.35);
 901
 902
 903         char orphansTxt[200];
 904         Float_t orphansRatio=0.0;
 905         if (hTot->GetEntries()>1){
 906                 orphansRatio=((Float_t) hTot->GetBinContent(1))/((Float_t) hTot->GetEntries()) ;
 907         }
 908         sprintf(orphansTxt,"orphans/matched tracks = %.4f ",orphansRatio);
 909         TH1F * hOrphansRatio=new TH1F("hOrphansRatio","Percentage of signals with only leading edge; percentage (%)",1000,0.,100.);
 910         hOrphansRatio->Fill(orphansRatio*100.);
 911
 912
 913         TPaveText *tOrphans = new TPaveText(0.38,0.63,0.88,0.7, "NDC");
 914         //NDC sets coords relative to pad
 915         tOrphans->SetBorderSize(0);
 916         tOrphans->SetTextSize(0.045);
 917         tOrphans->SetFillColor(0); //white background
 918         tOrphans->SetTextAlign(12);
 919         tOrphans->SetTextColor(kViolet-3);
 920         tOrphans->AddText(orphansTxt);
 921
 922         TH1F * hL = (TH1F*) generalList->At(4);
 923         hL->SetMarkerStyle(8);
 924         hL->SetMarkerSize(0.7);
 925         hL->SetMarkerColor(kOrange-3);
 926         hL->SetLineColor(kOrange-3);
 927         hL->SetFillColor(kOrange-3);
 928         hL->SetFillStyle(3001);
 929         //hTime->SetDrawOption();
 930         hL->GetYaxis()->SetTitle("matched tracks");
 931         hL->GetYaxis()->SetTitleOffset(1.35);
 932
 933         char negLengthTxt[200];
 934         Float_t negLengthRatio=0.0;
 935         if (hL->GetEntries()>1){
 936                 negLengthRatio=(hL->Integral(1,750))/((Float_t) hL->GetEntries()) ;
 937         }
 938         sprintf(negLengthTxt,"tracks with L<350cm /matched tracks = %.5f ",negLengthRatio);
 939         TH1F * hLnegRatio=new TH1F("hLnegRatio","Ratio of TOF-matched tracks with L<350cm; ratio (%)",10000,0.,100.);
 940         hLnegRatio->Fill(negLengthRatio*100);
 941
 942
 943
 944         TPaveText *tLength = new TPaveText(0.15,0.83,0.65,0.87, "NDC");
 945         //NDC sets coords relative to pad
 946         tLength->SetBorderSize(0);
 947         tLength->SetTextSize(0.04);
 948         tLength->SetFillColor(0); //white background
 949         tLength->SetTextAlign(11);
 950         tLength->SetTextColor(kOrange-3);
 951         tLength->AddText(negLengthTxt);
 952
 953         if (canvasE){
 954                 TCanvas *cTrackProperties= new TCanvas("cTrackProperties","summary of matched tracks properties",900,900);
 955                 cTrackProperties->Divide(2,2);
 956                 cTrackProperties->cd(1);
 957                 gPad->SetLogy();
 958                 gPad->SetGridx();
 959                 gPad->SetGridy();
 960                 hTime->Draw("BAR");
 961                 hRawTime ->Draw("BARsame");
 962                 lTime->Draw();
 963                 cTrackProperties->cd(2);
 964                 gPad->SetGridx();
 965                 gPad->SetGridy();
 966                 gPad->SetLogy();
 967                 hTot->Draw("BAR");
 968                 tOrphans->Draw();
 969                 cTrackProperties->cd(3);
 970                 gPad->SetGridx();
 971                 gPad->SetGridy();
 972                 gPad->SetLogy();
 973                 hL->Draw("BAR");
 974                 tLength->Draw();
 975         }
 976         fout->cd();
 977         hRunNumber->Write();
 978         hMulti->Write();
 979         hFractionEventsWhits->Write();
 980         hTime->Write();
 981         hRawTime->Write();
 982         hTot->Write();
 983         hOrphansRatio->Write();
 984         hL->Write();
 985         hLnegRatio->Write();
 986
 987         TH2F* hDxPos4profile = (TH2F*) generalList->At(14);
 988         TH2F* hDxNeg4profile = (TH2F*) generalList->At(13);
 989
 990         char profilename[30];
 991         const Int_t ybinMin = 0;
 992         const Int_t ybinMax =hDxPos4profile->GetYaxis()->GetNbins() ;
 993         sprintf(profilename,"profDxPos");
 994         TProfile * profDxPos = (TProfile*)hDxPos4profile->ProfileX(profilename, ybinMin,ybinMax);
 995         sprintf(profilename,"profDxNeg");
 996         profDxPos->SetLineWidth(2);
 997         TProfile * profDxNeg = (TProfile*)hDxNeg4profile->ProfileX(profilename, ybinMin, ybinMax);
 998         profDxNeg->SetLineWidth(2);
 999
1000         TH1 *profRatioPosOverNegDx = (TH1*) profDxPos->Clone();
1001         profRatioPosOverNegDx->SetName("profRatioPosOverNegDx");
1002         profRatioPosOverNegDx->Divide((TH1*) profDxNeg);
1003         profRatioPosOverNegDx->GetYaxis()->SetRangeUser(-5.,5.);
1004         profRatioPosOverNegDx->GetXaxis()->SetRangeUser(0.,2.);
1005         if (canvasE){
1006                 TCanvas *residuals= new TCanvas("residuals","residuals",900,450);
1007                 residuals->Divide(2,1);
1008                 residuals->cd(1);
1009                 gPad->SetGridx();
1010                 gPad->SetGridy();
1011                 hDxPos4profile->GetYaxis()->SetRangeUser(-5.,5.);
1012                 hDxPos4profile->Draw("colz");
1013                 profDxPos->SetLineColor(kRed);
1014                 profDxPos ->Draw("same");
1015                 residuals->cd(2);
1016                 gPad->SetGridx();
1017                 gPad->SetGridy();
1018                 hDxNeg4profile->GetYaxis()->SetRangeUser(-5.,5.);
1019                 hDxNeg4profile->Draw("colz");
1020                 profDxNeg->SetLineColor(kBlue);
1021                 profDxNeg->Draw("same");
1022         }
1023
1024         fout->cd();
1025         hDxPos4profile->Write();
1026         hDxNeg4profile->Write();
1027         profDxPos->Write();
1028         profDxNeg->Write();
1029         profRatioPosOverNegDx->Write();
1030         //-------------------------------------------------------------
1031         /* T0 DETECTOR MONITOR*/
1032
1033         TH1F * hT0AC = (TH1F*) timeZeroList->At(0);
1034         hT0AC->SetMarkerStyle(8);
1035         hT0AC->SetMarkerSize(0.7);
1036         hT0AC->SetMarkerColor(kRed);
1037         hT0AC->SetLineColor(kRed);
1038         hT0AC->SetFillColor(kRed);
1039         hT0AC->SetFillStyle(1001);
1040         hT0AC->Rebin(2);
1041         hT0AC->GetYaxis()->SetTitle("events");
1042         hT0AC->GetYaxis()->SetTitleOffset(1.35);
1043         hT0AC->GetXaxis()->SetLabelSize(0.03);
1044
1045         TH1F * hT0A = (TH1F*) timeZeroList->At(1);
1046         hT0A->SetMarkerStyle(8);
1047         hT0A->SetMarkerSize(0.7);
1048         hT0A->SetMarkerColor(kBlue);
1049         hT0A->SetLineColor(kBlue);
1050         hT0A->SetFillColor(kBlue);
1051         hT0A->SetFillStyle(1001);
1052         hT0A->Rebin(2);
1053         hT0A->GetYaxis()->SetTitle("events");
1054         hT0A->GetYaxis()->SetTitleOffset(1.35);
1055         hT0A->GetXaxis()->SetLabelSize(0.03);
1056
1057         TH1F * hT0C = (TH1F*) timeZeroList->At(2);
1058         hT0C->SetMarkerStyle(8);
1059         hT0C->SetMarkerSize(0.7);
1060         hT0C->SetMarkerColor(kGreen);
1061         hT0C->SetLineColor(kGreen);
1062         hT0C->SetFillColor(kGreen);
1063         hT0C->SetFillStyle(1001);
1064         hT0C->Rebin(2);
1065         hT0C->GetYaxis()->SetTitle("events");
1066         hT0C->GetYaxis()->SetTitleOffset(1.35);
1067         hT0C->GetXaxis()->SetLabelSize(0.03);
1068
1069         TLegend *lT0 = new TLegend(0.7125881,0.6052519,0.979435,0.7408306,NULL,"brNDC");
1070         lT0->SetTextSize(0.041);
1071         lT0->AddEntry(hT0AC, "T0 A&C","L");
1072         lT0->AddEntry(hT0A, "T0 A","L");
1073         lT0->AddEntry(hT0C, "T0 C","L");
1074         lT0->SetFillColor(kWhite);
1075         lT0->SetShadowColor(0);
1076
1077         TH1F * hT0res = (TH1F*) timeZeroList->At(3);
1078         hT0res->GetXaxis()->SetLabelSize(0.03);
1079         if (canvasE){
1080                 TCanvas *cT0detector= new TCanvas("cT0detector","T0 detector",900,450);
1081                 cT0detector->Divide(2,1);
1082                 cT0detector->cd(1);
1083                 gPad->SetGridx();
1084                 gPad->SetGridy();
1085                 hT0AC->Draw("BAR");
1086                 hT0AC->SetTitle("timeZero measured by T0 detector");
1087                 hT0A ->Draw("BARsame");
1088                 hT0C ->Draw("BARsame");
1089                 lT0->Draw();
1090                 cT0detector->cd(2);
1091                 gPad->SetGridx();
1092                 gPad->SetGridy();
1093                 // gPad->SetLogy();
1094                 hT0res->Draw();
1095                 // myText1->Draw();
1096                 // cTrackProperties->cd(3);
1097                 // gPad->SetLogy();
1098                 // hL->Draw("BAR");
1099                 // myText2->Draw();
1100         }
1101
1102         TH1F * hT0fillRes = (TH1F*) timeZeroList->At(8);
1103         hT0fillRes->GetXaxis()->SetLabelSize(0.03);
1104
1105         fout->cd();
1106         hT0AC->Write();
1107         hT0A->Write();
1108         hT0C->Write();
1109         hT0res->Write();
1110         hT0fillRes->Write();
1111         lT0->Write();
1112
1113
1114         //-------------------------------------------------------------
1115         /*MATCHING EFFICIENCY  MONITOR*/
1116
1117         //TH1F * hMatchingVsP =new TH1F("hMatchingVsP","Matching probability vs. P; P(GeV/c); matching probability", 50, 0., 5. );
1118
1119         TH1F * hMatchingVsPt =new TH1F("hMatchingVsPt","Matching probability vs. Pt; Pt(GeV/c); matching probability", 50, 0., 5. );
1120
1121         TH1F * hMatchingVsEta =new TH1F("hMatchingVsEta","Matching probability vs. #\Eta; #\Eta; matching probability", 20, -1., 1.);
1122
1123         TH1F * hMatchingVsPhi =new TH1F("hMatchingVsPhi","Matching probability vs. Phi; Phi(rad); matching probability", 628, 0., 6.28);
1124
1125         /*/matching as function of p
1126           TH1F * hDenom=(TH1F*)generalList->At(9);
1127           if (hDenom) {
1128           hMatchingVsP=(TH1F*) generalList->At(5);
1129           hMatchingVsP->Rebin(5);
1130           hDenom->Rebin(5);
1131           hMatchingVsP->Divide(hDenom);
1132           hMatchingVsP->GetYaxis()->SetTitle("matching efficiency");
1133           hMatchingVsP->SetTitle("TOF matching efficiency as function of momentum");
1134           }*/
1135
1136         //matching as function of pT
1137
1138         // hDenom->Clear();
1139         TH1F * hDenom=(TH1F*)generalList->At(10);
1140         if (hDenom) {
1141                 hMatchingVsPt=(TH1F*) generalList->At(6);
1142                 hMatchingVsPt->Rebin(5);
1143                 hDenom->Rebin(5);
1144                 hMatchingVsPt->Divide(hDenom);
1145                 hMatchingVsPt->GetYaxis()->SetTitle("matching efficiency");
1146                 hMatchingVsPt->SetTitle("TOF matching efficiency as function of transverse momentum");
1147                 hMatchingVsPt->GetYaxis()->SetRangeUser(0,1.2);
1148         }
1149
1150         //matching as function of eta
1151         hDenom->Clear();
1152         hDenom=(TH1F*)generalList->At(11);
1153         if (hDenom) {
1154                 hMatchingVsEta=(TH1F*) generalList->At(7);
1155                 hMatchingVsEta->Rebin(5);
1156                 hDenom->Rebin(5);
1157                 hMatchingVsEta->Divide(hDenom);
1158                 hMatchingVsEta->GetXaxis()->SetRangeUser(-1,1);
1159                 hMatchingVsEta->GetYaxis()->SetTitle("matching efficiency");
1160                 hMatchingVsEta->GetYaxis()->SetRangeUser(0,1.2);
1161                 hMatchingVsEta->SetTitle("TOF matching efficiency as function of pseudorapidity");
1162         }
1163         //matching as function of phi
1164         hDenom->Clear();
1165         hDenom=(TH1F*)generalList->At(12);
1166         if (hDenom) {
1167                 hMatchingVsPhi=(TH1F*) generalList->At(8);
1168                 //hMatchingVsPhi->Rebin(5);
1169                 //hDenom->Rebin(5);
1170                 hMatchingVsPhi->Divide(hDenom);
1171                 hMatchingVsPhi->GetYaxis()->SetTitle("matching efficiency");
1172                 hMatchingVsPhi->SetTitle("TOF matching efficiency as function of phi");
1173                 hMatchingVsPhi->GetYaxis()->SetRangeUser(0,1.2);
1174         }
1175         if (  canvasE){
1176                 TCanvas *cMatchingPerformance= new TCanvas("cMatchingPerformance","summary of matching performance",700,400);
1177                 cMatchingPerformance->Divide(2,2);
1178                 cMatchingPerformance->cd(1);
1179                 gPad->SetGridx();
1180                 gPad->SetGridy();
1181                 hMatchingVsPt->Draw();
1182                 cMatchingPerformance->cd(2);
1183                 gPad->SetGridx();
1184                 gPad->SetGridy();
1185                 hMatchingVsEta->Draw();
1186                 cMatchingPerformance->cd(3);
1187                 gPad->SetGridx();
1188                 gPad->SetGridy();
1189                 hMatchingVsPhi->Draw();
1190         }
1191         fout->cd();
1192         hMatchingVsPt->Write();
1193         hMatchingVsEta->Write();
1194         hMatchingVsPhi->Write();
1195
1196         //----------------------------------------------------
1197         /* PID PERFORMANCE MONITOR */
1198
1199         TH2F * hBetaP=(TH2F*)pidList->At(0);
1200         hBetaP->GetYaxis()->SetRangeUser(0.,1.2);
1201         TH1F * hMass=(TH1F*)pidList->At(1);
1202         //hMass->SetMarkerColor(kBlue);
1203         //hMass->SetLineColor(kBlue);
1204         hMass->SetFillColor(kAzure+10);
1205         hMass->SetFillStyle(1001);
1206         hMass->Rebin(2);
1207         hMass->GetYaxis()->SetTitle("tracks");
1208         hMass->GetYaxis()->SetTitleOffset(1.35);
1209         hMass->GetXaxis()->SetLabelSize(0.03);
1210
1211         TH1F * hPionDiff=(TH1F*)pidList->At(3);
1212
1213
1214         TH2F * hDiffTimePi=(TH2F*)pidList->At(4);
1215         hDiffTimePi->GetYaxis()->SetRangeUser(-2000.,2000.);
1216         hDiffTimePi->SetTitle("PIONS t-t_{exp,#pi} (from tracking) vs. P");
1217           //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
1218         sprintf(profilename,"profDiffTimePi");
1219
1220         TProfile * profDiffTimePi = (TProfile*)hDiffTimePi->ProfileX(profilename, 490, 510);
1221         profDiffTimePi->SetLineWidth(2);
1222         profDiffTimePi->SetLineColor(kRed+2);
1223
1224         TH2F * hDiffTimePiTh=(TH2F*)pidList->At(6);
1225         //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
1226         sprintf(profilename,"profDiffTimePiTh");
1227         hDiffTimePiTh->GetYaxis()->SetRangeUser(-2000.,2000.);
1228
1229         TProfile * profDiffTimePiTh = (TProfile*)hDiffTimePiTh->ProfileX(profilename, 490, 510);
1230         profDiffTimePiTh->SetLineWidth(2);
1231         profDiffTimePiTh->SetLineColor(kRed+2);
1232
1233         TH2F * hDiffTimeKa=(TH2F*)pidList->At(9);
1234         //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
1235         hDiffTimeKa->SetTitle("KAONS t-t_{exp,K} (from tracking) vs. P");
1236         sprintf(profilename,"profDiffTimeKa");
1237         hDiffTimeKa->GetYaxis()->SetRangeUser(-2000.,2000.);
1238
1239         TProfile * profDiffTimeKa = (TProfile*)hDiffTimeKa->ProfileX(profilename, 490, 510);
1240         profDiffTimeKa->SetLineWidth(2);
1241         profDiffTimeKa->SetLineColor(kBlue);
1242
1243         TH2F * hDiffTimeKaTh=(TH2F*)pidList->At(11);
1244         //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
1245         sprintf(profilename,"profDiffTimeKaTh");
1246         hDiffTimeKaTh->GetYaxis()->SetRangeUser(-2000.,2000.);
1247         TProfile * profDiffTimeKaTh = (TProfile*)hDiffTimeKaTh->ProfileX(profilename, 490, 510);
1248         profDiffTimeKaTh->SetLineWidth(2);
1249         profDiffTimeKaTh->SetLineColor(kBlue);
1250
1251         TH2F * hDiffTimePro=(TH2F*)pidList->At(14);
1252         //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
1253         sprintf(profilename,"profDiffTimePro");
1254         hDiffTimePro->SetTitle("PROTONS t-t_{exp,p} (from tracking) vs. P");
1255         hDiffTimePro->GetYaxis()->SetRangeUser(-2000.,2000.);
1256         TProfile * profDiffTimePro = (TProfile*)hDiffTimePro->ProfileX(profilename, 490, 510);
1257         profDiffTimePro->SetLineWidth(2);
1258         profDiffTimePro->SetLineColor(kGreen+2);
1259
1260         TH2F * hDiffTimeProTh=(TH2F*)pidList->At(16);
1261         //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
1262         sprintf(profilename,"profDiffTimeProTh");
1263         hDiffTimeProTh->GetYaxis()->SetRangeUser(-2000.,2000.);
1264         TProfile * profDiffTimeProTh = (TProfile*)hDiffTimeProTh->ProfileX(profilename, 490, 510);
1265         profDiffTimeProTh->SetLineWidth(2);
1266         profDiffTimeProTh->SetLineColor(kGreen+2);
1267
1268         if (canvasE){
1269                 TCanvas *cPidPerformance= new TCanvas("cPidPerformance","summary of pid performance",800,800);
1270                 cPidPerformance->Divide(2,1);
1271                 cPidPerformance->cd(1);
1272                 gPad->SetGridy();
1273                 gPad->SetGridx();
1274                 gPad->SetLogz();
1275                 hBetaP->Draw("colz");
1276
1277                 cPidPerformance->cd(2);
1278                 gPad->SetGridx();
1279                 gPad->SetGridy();
1280                 gPad->SetLogy();
1281                 hMass->Draw("HIST BAR");
1282
1283                 TLegend * lPid=new TLegend(0.75,0.75,0.95,0.95,"PID");
1284                 lPid->AddEntry(profDiffTimePi,"#pi^{#pm}","l");
1285                 lPid->AddEntry(profDiffTimeKa,"K^{#pm}","l");
1286                 lPid->AddEntry(profDiffTimePro,"p^{#pm}","l");
1287
1288                 gStyle->SetOptStat(10);
1289                 TCanvas *cPidPerformance2= new TCanvas("cPidPerformance2","summary of pid performance - tracking",700,700);
1290                 cPidPerformance2->Divide(2,2);
1291                 cPidPerformance2->cd(1);
1292                 gPad->SetLogz();
1293                 gPad->SetGridx();
1294                 gPad->SetGridy();
1295                 hDiffTimePi->Draw("colz");
1296                 // profDiffTimePi->Draw("same");
1297
1298                 cPidPerformance2->cd(2);
1299                 gPad->SetLogz();
1300                 gPad->SetGridx();
1301                 gPad->SetGridy();
1302                 hDiffTimeKa->Draw("colz");
1303                 //profDiffTimeKa->Draw("same");
1304                 cPidPerformance2->cd(3);
1305                 gPad->SetLogz();
1306                 hDiffTimePro->Draw("colz");
1307                 //  profDiffTimePro->Draw("same");
1308
1309                 // cPidPerformance2->cd(4);
1310                 //  profDiffTimePi->Draw();
1311                 //  profDiffTimeKa->Draw("same");
1312                 //  profDiffTimePro->Draw("same");
1313                 //  lPid->Draw("same");
1314
1315                 TCanvas *cPidPerformanceTh= new TCanvas("cPidPerformanceTh","summary of pid performance - theoretical times",700,700);
1316                 cPidPerformanceTh->Divide(2,2);
1317                 cPidPerformanceTh->cd(1);
1318                 gPad->SetLogz();
1319                 gPad->SetGridx();
1320                 gPad->SetGridy();
1321                 hDiffTimePiTh->Draw("colz");
1322                 profDiffTimePiTh->Draw("same");
1323                 cPidPerformanceTh->cd(2);
1324                 gPad->SetLogz();
1325                 gPad->SetGridx();
1326                 gPad->SetGridy();
1327                 hDiffTimeKaTh->Draw("colz");
1328                 profDiffTimeKaTh->Draw("same");
1329                 cPidPerformanceTh->cd(3);
1330                 gPad->SetLogz();
1331                 gPad->SetGridx();
1332                 gPad->SetGridy();
1333                 hDiffTimeProTh->Draw("colz");
1334                 profDiffTimeProTh->Draw("same");
1335                 // cPidPerformanceTh->cd(4);
1336                 // profDiffTimePiTh->Draw();
1337                 // profDiffTimeKaTh->Draw("same");
1338                 // profDiffTimeProTh->Draw("same");
1339                 // lPid->Draw("same");
1340         }
1341
1342         TH1F * hPionDiff=(TH1F*)pidList->FindObject("hTOFmatchedExpTimePi");
1343         TH1F * hKaonDiff=(TH1F*)pidList->FindObject("hTOFmatchedExpTimeKa");
1344         TH1F * hProtonDiff=(TH1F*)pidList->FindObject("hTOFmatchedExpTimePro");
1345
1346         TH2F * hDiffTimeT0TOFPion1GeV=(TH2F*)pidList->FindObject("hTOFmatchedTimePion1GeV");
1347
1348         fout->cd();
1349         hPionDiff->Write();
1350         hKaonDiff->Write();
1351         hProtonDiff->Write();
1352         hBetaP->Write();
1353         hMass->Write();
1354         hDiffTimeT0TOFPion1GeV->Write();
1355         hDiffTimePi->Write();
1356         profDiffTimePi->Write();
1357         hDiffTimeKa->Write();
1358         profDiffTimeKa->Write();
1359         hDiffTimePro->Write();
1360         profDiffTimePro->Write();
1361         //lPid->Draw();
1362         hDiffTimePiTh->Write();
1363         profDiffTimePiTh->Write();
1364         hDiffTimeKaTh->Write();
1365         profDiffTimeKaTh->Write();
1366         hDiffTimeProTh->Write();
1367         profDiffTimeProTh->Write();
1368
1369         //SIGMAS PID
1370         TH2F * hSigmaPi=(TH2F*)pidList->At(7);
1371         sprintf(profilename,"profSigmaPi");
1372         hSigmaPi->GetYaxis()->SetRangeUser(-5.,5.);
1373         TProfile * profSigmaPi = (TProfile*)hSigmaPi->ProfileX(profilename);
1374         profSigmaPi->SetLineWidth(2);
1375         profSigmaPi->SetLineColor(kRed+2);
1376
1377         TH2F * hSigmaKa=(TH2F*)pidList->At(12);
1378         sprintf(profilename,"profSigmaKa");
1379         hSigmaKa->GetYaxis()->SetRangeUser(-5.,5.);
1380         TProfile * profSigmaKa = (TProfile*)hSigmaKa->ProfileX(profilename);
1381         profSigmaKa->SetLineWidth(2);
1382         profSigmaKa->SetLineColor(kBlue);
1383
1384         TH2F * hSigmaPro=(TH2F*)pidList->At(17);
1385         sprintf(profilename,"profSigmaPro");
1386         hSigmaPro->GetYaxis()->SetRangeUser(-5.,5.);
1387         TProfile * profSigmaPro = (TProfile*)hSigmaPro->ProfileX(profilename);
1388         profSigmaPro->SetLineWidth(2);
1389         profSigmaPro->SetLineColor(kGreen+2);
1390
1391
1392         if (canvasE){
1393
1394                 TLegend * lSigmaPid=new TLegend(0.75,0.75,0.95,0.95,"#sigma_{PID}");
1395                 lSigmaPid->AddEntry(profSigmaPi,"#pi^{#pm}","l");
1396                 lSigmaPid->AddEntry(profSigmaKa,"K^{#pm}","l");
1397                 lSigmaPid->AddEntry(profSigmaPro,"p^{#pm}","l");
1398
1399                 TCanvas *cPidPerformance3= new TCanvas("cPidPerformance3","summary of pid performance - sigmas",1200,400);
1400                 cPidPerformance3->Divide(3,1);
1401                 cPidPerformance3->cd(1);
1402                 gPad->SetLogz();
1403                 gPad->SetGridx();
1404                 gPad->SetGridy();
1405
1406                 hSigmaPi->Draw("colz");
1407                 profSigmaPi->Draw("same");
1408
1409                 cPidPerformance3->cd(2);
1410                 gPad->SetLogz();
1411                 gPad->SetGridx();
1412                 gPad->SetGridy();
1413                 hSigmaKa->Draw("colz");
1414                 profSigmaKa->Draw("same");
1415
1416                 cPidPerformance3->cd(3);
1417                 gPad->SetGridx();
1418                 gPad->SetGridy();
1419                 gPad->SetLogz();
1420                 hSigmaPro->Draw("colz");
1421                 profSigmaPro->Draw("same");
1422         }
1423
1424         fout->cd();
1425         hSigmaPi->Write();
1426         profSigmaPi->Write();
1427         hSigmaKa->Write();
1428         profSigmaKa->Write();
1429         hSigmaPro->Write();
1430         profSigmaPro->Write();
1431
1432         TH2F* hTOFmatchedDzVsStrip = (TH2F*)generalList->FindObject("hTOFmatchedDzVsStrip");
1433
1434         if (canvasE){
1435                 TCanvas* cProfile = new TCanvas("cProfile","cProfile",50,50,750,550);
1436                 gStyle->SetOptStat(0);
1437                 hTOFmatchedDzVsStrip->Draw("colz");
1438                 Int_t binmin = hTOFmatchedDzVsStrip->GetYaxis()->FindBin(-3);
1439                 Int_t binmax = hTOFmatchedDzVsStrip->GetYaxis()->FindBin(3);
1440                 TProfile* hDzProfile = (TProfile*)hTOFmatchedDzVsStrip->ProfileX("hDzProfile",binmin, binmax);
1441                 hDzProfile->SetLineWidth(3);
1442                 hDzProfile->Draw("same");
1443                 cProfile->SetGridx();
1444                 cProfile->SetGridy();
1445                 TString plotDir(Form("Plots_run%d",runNumber));
1446                 gSystem->Exec(Form("mkdir %s",plotDir.Data()));
1447                 cPidPerformance3->Print(Form("%s/PID_sigmas.png",plotDir.Data()));
1448                 cPidPerformance->Print(Form("%s/PID.png",plotDir.Data()));
1449                 cPidPerformanceTh->Print(Form("%s/PID_theoreticalTimes.png",plotDir.Data()));
1450                 cPidPerformance2->Print(Form("%s/PID_ExpTimes.png",plotDir.Data()));
1451                 cMatchingPerformance->Print(Form("%s/Matching.png",plotDir.Data()));
1452                 cT0detector->Print(Form("%s/T0Detector.png",plotDir.Data()));
1453                 cTrackProperties->Print(Form("%s/TrackProperties.png",plotDir.Data()));
1454                 residuals->Print(Form("%s/Residuals.png",plotDir.Data()));
1455                 cProfile->Print(Form("%s/ProfileDZvsStripNumber.png",plotDir.Data()));
1456         }
1457         fout->cd();
1458         hTOFmatchedDzVsStrip->Write();
1459
1460         return 0;
1461 }
1462
1463 //----------------------------------------------------------
1464 char * SetQAtrainOutputName(Int_t run=0,Int_t year=2011,char *period="LHC11a", char* pass="cpass1",Int_t trainId=76){
1465
1466         char infile[200];
1467         sprintf(infile,"alien:///alice/data/%i/%s/000%d/ESDs/%s/QA%i/QAresults.root",year,period,runNumber,pass,trainId);
1468         return infile;
1469
1470 }
1471
1472 //----------------------------------------------------------
1473 Double_t GetGoodTOFChannelsRatio(Int_t run, Bool_t saveMap = kFALSE)
1474 {
1475   /*
1476     It retrieves from OCDB the number of good (= efficient && not noisy && HW ok) TOF channels.
1477     Optionally is saves the channel map
1478   */
1479   if (run<=0) {
1480     printf("MakeTrendingTOFqa.C - ERROR in CheckCalibStatus(): invalid run number. Please set a run number.\n");
1481     return 0.0;
1482   }
1483
1484   AliCDBManager *cdb = AliCDBManager::Instance();
1485   cdb->SetDefaultStorage("raw://");
1486   cdb->SetRun(run);
1487
1488   AliCDBEntry *cdbe = cdb->Get("TOF/Calib/Status");
1489   if (!cdbe) {
1490     printf("MakeTrendingTOFqa.C - ERROR in CheckCalibStatus(): OCDB entry not available. Please, try again.\n");
1491     return 0.0;
1492   }
1493
1494   AliTOFChannelOnlineStatusArray *array = (AliTOFChannelOnlineStatusArray *)cdbe->GetObject();
1495   TH2F *hOkMap = new TH2F("hOkMap", "Ok map (!noisy & !problematic & efficient);sector;strip", 72, 0., 18., 91, 0., 91.);
1496
1497   AliTOFcalibHisto calibHisto;
1498   calibHisto.LoadCalibHisto();
1499   AliTOFcalib calib;
1500   calib.Init();
1501   Int_t sector, sectorStrip, padx, fea;
1502   Float_t hitmapx, hitmapy;
1503   for (Int_t i = 0; i <  array->GetSize(); i++) {
1504     sector = calibHisto.GetCalibMap(AliTOFcalibHisto::kSector, i);
1505     sectorStrip = calibHisto.GetCalibMap(AliTOFcalibHisto::kSectorStrip, i);
1506     padx = calibHisto.GetCalibMap(AliTOFcalibHisto::kPadX, i);
1507     fea = padx / 12;
1508     hitmapx = sector + ((Double_t)(3 - fea) + 0.5) / 4.;
1509     hitmapy = sectorStrip;
1510     if ( !(array->GetNoiseStatus(i) == AliTOFChannelOnlineStatusArray::kTOFNoiseBad)   &&
1511          (calib.IsChannelEnabled(i,kTRUE,kTRUE)))
1512       hOkMap->Fill(hitmapx,hitmapy);
1513   }
1514   Int_t nOk=(Int_t) hOkMap->GetEntries();
1515   Double_t ratioOk=nOk/152928.;
1516   if (saveMap) hOkMap->SaveAs(Form("run%i_OKChannelsMap.root",run));
1517   cout << "###    Run " << run << ": TOF channels ok = " << nOk << "/ total 152928 channels = " << ratioOk*100. << "% of whole TOF" << endl;
1518   return ratioOk;
1519 }
1520