-//fbellini@cern.ch, 11/11/2011
-//-----------------------------------------------------------
-Int_t MakeTrendingTOFQA(char * runlist, Int_t year=2011, char *period="LHC11d", char* pass="cpass1", Int_t trainId=0){
+/*
+fbellini@cern.ch, last update on 09/01/2012
+- added flag for displaying reduced n. of trending plots
+- now producing tree run by run
+- new method to produce trending plots from list of trees
+*/
+
+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){
Int_t filesCounter=0;
if (!runlist) {
Int_t runNumber;
char infile[300];
char postFileName[20];
+ char treePostFileName[20];
char trendFileName[100];
//Define trending output
if (trainId==0){
- sprintf(trendFileName,"treeTOFQA_%s_%s.root",period,pass);
+ sprintf(trendFileName,"treeTOFQA_%s_%s.root",period,pass);
}else{
- sprintf(trendFileName,"treeTOFQA_QA%i_%s_%s.root",trainId,period,pass);
+ sprintf(trendFileName,"treeTOFQA_QA%i_%s_%s.root",trainId,period,pass);
}
TFile * trendFile=new TFile(trendFileName,"recreate");
-
- Double_t avTime=-9999., peakTime=-9999., spreadTime=-9999., peakTimeErr=-9999., spreadTimeErr=-9999., negTimeRatio=-9999.,
- avRawTime=-9999., peakRawTime=-9999., spreadRawTime=-9999., peakRawTimeErr=-9999., spreadRawTimeErr=-9999.,
- avTot=-9999., peakTot=-9999.,spreadTot=-9999., peakTotErr=-9999.,spreadTotErr=-9999.,
- orphansRatio=-9999., avL=-9999., negLratio=-9999.,
- effPt1=-9999., effPt2=-9999., matchEffLinFit1Gev=-9999.,matchEffLinFit1GevErr=-9999.;
-
- Double_t avPiDiffTime=-9999.,peakPiDiffTime=-9999., spreadPiDiffTime=-9999.,peakPiDiffTimeErr=-9999., spreadPiDiffTimeErr=-9999.;
-
- Double_t avT0A=-9999.,peakT0A=-9999., spreadT0A=-9999.,peakT0AErr=-9999., spreadT0AErr=-9999.;
- Double_t avT0C=-9999.,peakT0C=-9999., spreadT0C=-9999.,peakT0CErr=-9999., spreadT0CErr=-9999.;
- Double_t avT0AC=-9999.,peakT0AC=-9999., spreadT0AC=-9999.,peakT0ACErr=-9999., spreadT0ACErr=-9999.;
- Double_t avT0res=-9999.,peakT0res=-9999., spreadT0res=-9999.,peakT0resErr=-9999., spreadT0resErr=-9999.;
- Double_t avT0fillRes=-9999.;
-
- Int_t avMulti=0;
- Float_t fractionEventsWHits=-9999.;
-
- TTree * ttree=new TTree("trendTree","tree of trending variables");
- ttree->Branch("run",&runNumber,"run/I");
- ttree->Branch("avMulti",&avMulti,"avMulti/I");
- ttree->Branch("fractionEventsWHits",&fractionEventsWHits,"fractionEventsWHits/F");
- ttree->Branch("avTime",&avTime,"avTime/D"); //mean time
- ttree->Branch("peakTime",&peakTime,"peakTime/D"); //main peak time after fit
- ttree->Branch("spreadTime",&spreadTime,"spreadTime/D"); //spread of main peak of time after fit
- ttree->Branch("peakTimeErr",&peakTimeErr,"peakTimeErr/D"); //main peak time after fit error
- ttree->Branch("spreadTimeErr",&spreadTimeErr,"spreadTimeErr/D"); //spread of main peak of time after fit error
- ttree->Branch("negTimeRatio",&negTimeRatio,"negTimeRatio/D"); //negative time ratio
-
- ttree->Branch("avRawTime",&avRawTime,"avRawTime/D"); //mean raw time
- ttree->Branch("peakRawTime",&peakRawTime,"peakRawTime/D"); //mean peak of RAW TIME after fit
- ttree->Branch("spreadRawTime",&spreadRawTime,"spreadRawTime/D"); //spread of main peak of raw time after fit
- ttree->Branch("peakRawTimeErr",&peakRawTimeErr,"peakRawTimeErr/D"); //main peak raw time after fit error
- ttree->Branch("spreadRawTimeErr",&spreadRawTimeErr,"spreadRawTimeErr/D"); //spread of raw main peak of time after fit error
-
- ttree->Branch("avTot",&avTot,"avTot/D"); //main peak tot
- ttree->Branch("peakTot",&peakTot,"peakTot/D"); // main peak of tot after fit
- ttree->Branch("spreadTot",&spreadTot,"spreadTot/D"); //spread of main peak of tot after fit
- ttree->Branch("peakTotErr",&peakTotErr,"peakTotErr/D"); // main peak of tot after fit
- ttree->Branch("spreadTotErr",&spreadTotErr,"spreadTotErr/D"); //spread of main peak of tot after fit
-
- ttree->Branch("orphansRatio",&orphansRatio,"orphansRatio/D"); //orphans ratio
-
- ttree->Branch("avL",&avL,"avL/D"); //mean track length
- ttree->Branch("negLratio",&negLratio,"negLratio/D");//ratio of tracks with track length <350 cm
-
- ttree->Branch("effPt1",&effPt1,"effPt1/D");//matching eff at 1 GeV/c
- ttree->Branch("effPt2",&effPt2,"effPt2/D"); //matching eff at 2 GeV/c
- ttree->Branch("matchEffLinFit1Gev",&matchEffLinFit1Gev,"matchEffLinFit1Gev/D");//matching eff fit param
- ttree->Branch("matchEffLinFit1GevErr",&matchEffLinFit1GevErr,"matchEffLinFit1GevErr/D");////matching eff fit param error
-
- ttree->Branch("avPiDiffTime",&avPiDiffTime,"avPiDiffTime/D"); //mean t-texp
- ttree->Branch("peakPiDiffTime",&peakPiDiffTime,"peakPiDiffTime/D"); //main peak t-texp after fit
- ttree->Branch("spreadPiDiffTime",&spreadPiDiffTime,"spreadPiDiffTime/D"); //spread of main peak t-texp after fit
- ttree->Branch("peakPiDiffTimeErr",&peakPiDiffTimeErr,"peakPiDiffTimeErr/D"); //main peak t-texp after fit error
- ttree->Branch("spreadPiDiffTimeErr",&spreadPiDiffTimeErr,"spreadPiDiffTimeErr/D"); //spread of main peak of t-texp after fit error
+ FILE * files = fopen(runlist, "r") ;
- ttree->Branch("avT0A",&avT0A,"avT0A/D"); //main peak t0A
- ttree->Branch("peakT0A",&peakT0A,"peakT0A/D"); // main peak of t0A after fit
- ttree->Branch("spreadT0A",&spreadT0A,"spreadTot/D"); //spread of main peak of t0A after fit
- ttree->Branch("peakT0AErr",&peakT0AErr,"peakT0AErr/D"); // main peak of t0A after fit
- ttree->Branch("spreadT0AErr",&spreadT0AErr,"spreadT0AErr/D"); //spread of main peak of t0A after fit
+ //create chain of treePostQA
+ Long64_t nentries=100000, firstentry=0;
+ TChain *chainTree = 0;
+ chainTree=new TChain("trendTree");
+
+ while (fscanf(files,"%d",&runNumber)==1 ){
+
+ //get QAtrain output
+ if (trainId==0){
+ if (!isMC) sprintf(infile,"alien:///alice/data/%i/%s/000%d/%s/QAresults%s.root",year,period,runNumber,pass,nameSuffix);
+ else sprintf(infile,"alien:///alice/sim/%i/%s/%d/QAresults%s.root",year,period,runNumber,nameSuffix);
+ } else{
+ if (!isMC) sprintf(infile,"alien:///alice/data/%i/%s/000%d/ESDs/%s/QA%i/QAresults%s.root",year,period,runNumber,pass,trainId,nameSuffix);
+ else sprintf(infile,"alien:///alice/sim/%i/%s/%d/QA%i/QAresults%s.root",year,period,runNumber,trainId,nameSuffix);
+ }
+
+ Printf("============== Opening QA file(s) for run %i =======================\n",runNumber);
+
+ //run post-analysis
+ if (RunESDQApostAnalysis(infile,runNumber,isMC,kTRUE)==0){
+ filesCounter++;
+ sprintf(postFileName,"postQA_%i.root",runNumber);
+ sprintf(treePostFileName,"treePostQA_%i.root",runNumber);
+
+ if (MakePostQAtree(runNumber, isMC, postFileName, treePostFileName)==0){
+ chainTree->Add(treePostFileName);
+ Printf("Tree chain has now %d entries ",(Int_t)chainTree->GetEntries());
+ } else {
+ Printf("Could not get tree with trending quantities for run %i: SKIPPING",runNumber);
+ }
+ } else
+ Printf("Post analysis not run on QA output %s", infile);
+ }
+ return MakeTrendingFromTreeWithErrors(chainTree, trendFileName, displayAll);
+}
+//-----------------------------------------------------------
+Int_t MakeTrendingHistoFromTreeList(char * fileList, Bool_t displayAll=kFALSE){
- ttree->Branch("avT0C",&avT0C,"avT0C/D"); //main peak t0C
- ttree->Branch("peakT0C",&peakT0C,"peakT0C/D"); // main peak of t0C after fit
- ttree->Branch("spreadT0C",&spreadT0C,"spreadT0C/D"); //spread of main peak of t0C after fit
- ttree->Branch("peakT0CErr",&peakT0CErr,"peakT0CErr/D"); // main peak of t0C after fit
- ttree->Branch("spreadT0CErr",&spreadT0CErr,"spreadT0CErr/D"); //spread of main peak of t0C after fit
-
- ttree->Branch("avT0AC",&avT0AC,"avT0AC/D"); //main peak t0AC
- ttree->Branch("peakT0AC",&peakT0AC,"peakT0AC/D"); // main peak of t0AC after fit
- ttree->Branch("spreadT0AC",&spreadT0AC,"spreadT0AC/D"); //spread of main peak of t0AC after fit
- ttree->Branch("peakT0ACErr",&peakT0ACErr,"peakT0ACErr/D"); // main peak of t0AC after fit
- ttree->Branch("spreadT0ACErr",&spreadT0ACErr,"spreadT0ACErr/D"); //spread of main peak of t0AC after fit
-
- ttree->Branch("avT0res",&avT0res,"avT0res/D"); //main peak t0AC
- ttree->Branch("peakT0res",&peakT0res,"peakT0res/D"); // main peak of t0AC after fit
- ttree->Branch("spreadT0res",&spreadT0res,"spreadT0res/D"); //spread of main peak of t0AC after fit
- ttree->Branch("peakT0resErr",&peakT0resErr,"peakT0resErr/D"); // main peak of t0AC after fit
- ttree->Branch("spreadT0resErr",&spreadT0resErr,"spreadT0resErr/D"); //spread of main peak of t0AC after fit
- ttree->Branch("avT0fillRes",&avT0fillRes,"avT0fillRes/D"); //t0 fill res
+ Int_t filesCounter=0;
+ if (!fileList) {
+ printf("Invalid list of runs given as input: nothing done\n");
+ return 1;
+ }
+ char infile[300];
+ char trendFileName[100];
+ //Define trending output
+ sprintf(trendFileName,"trendingHistoTOFQA_%s.root",fileList);
+ TFile * trendFile=new TFile(trendFileName,"recreate");
+ FILE * files = fopen(fileList, "r") ;
- FILE * files = fopen(runlist, "r") ;
- while (fscanf(files,"%d",&runNumber)==1 ){
-
- //reset all variables
- avTime=-9999.; peakTime=-9999.; spreadTime=-9999.; peakTimeErr=-9999.; spreadTimeErr=-9999.;negTimeRatio=-9999.;
- avRawTime=-9999.; peakRawTime=-9999.; spreadRawTime=-9999.; peakRawTimeErr=-9999.; spreadRawTimeErr=-9999.;
- avTot=-9999.; peakTot=-9999.;spreadTot=-9999.; peakTotErr=-9999.;spreadTotErr=-9999.;
- orphansRatio=-9999.; avL=-9999.; negLratio=-9999.;
- effPt1=-9999.; effPt2=-9999.; matchEffLinFit1Gev=-9999.;matchEffLinFit1GevErr=-9999.;
-
- avPiDiffTime=-9999.;peakPiDiffTime=-9999.; spreadPiDiffTime=-9999.;peakPiDiffTimeErr=-9999.; spreadPiDiffTimeErr=-9999.;
-
- avT0A=-9999.;peakT0A=-9999.; spreadT0A=-9999.;peakT0AErr=-9999.; spreadT0AErr=-9999.;
- avT0C=-9999.;peakT0C=-9999.; spreadT0C=-9999.;peakT0CErr=-9999.; spreadT0CErr=-9999.;
- avT0AC=-9999.;peakT0AC=-9999.; spreadT0AC=-9999.;peakT0ACErr=-9999.; spreadT0ACErr=-9999.;
- avT0res=-9999.;peakT0res=-9999.; spreadT0res=-9999.;peakT0resErr=-9999.; spreadT0resErr=-9999.;
- avMulti=0; avT0fillRes=0.;
- fractionEventsWHits=-9999.;
-
- //get QAtrain output
- //SetQAtrainOutputName(runNumber, year,period,pass,trainId);
- if (trainId==0){
- sprintf(infile,"alien:///alice/data/%i/%s/000%d/ESDs/%s/QAresults.root",year,period,runNumber,pass);
- } else{
- sprintf(infile,"alien:///alice/data/%i/%s/000%d/ESDs/%s/QA%i/QAresults.root",year,period,runNumber,pass,trainId);
- }
- printf("============== Opening QA file(s) for run %i =======================\n",runNumber);
-
-
- //run post-analysis
- if (RunESDQApostAnalysis(infile,runNumber,kTRUE)==0){
- filesCounter++;
-
- //get post-analysis output
- sprintf(postFileName,"postQA_%i.root",runNumber);
- TFile *postfile=TFile::Open(postFileName);
- if (!postfile) {
- printf("Post-analysis output not found - cannot perform trending analysis. Exiting.");
- return 2;
- } else {
- printf("============== Retrieving post-analysis for run %i ===============\n",runNumber);
- }
- //postfile->ls();
- //save quantities for trending
-
- //--------------------------------- Multiplicity ----------------------------------//
- TH1F*hMulti=(TH1F*)postfile->Get("hTOFmatchedPerEvt");
- if ((hMulti)&&(hMulti->GetEntries()>0)) {
- avMulti=hMulti->GetMean();
- }
-
- //--------------------------------- T0F signal ----------------------------------//
-
- TH1F*hTime=(TH1F*)postfile->Get("hTOFmatchedESDtime");
- if ((hTime)&&(hTime->GetEntries()>0)) {
- avTime=hTime->GetMean();
- hTime->Fit("landau","","",0.,50.);
- peakTime=(hTime->GetFunction("landau"))->GetParameter(1);
- spreadTime=(hTime->GetFunction("landau"))->GetParameter(2);
- peakTimeErr=(hTime->GetFunction("landau"))->GetParError(1);
- spreadTimeErr=(hTime->GetFunction("landau"))->GetParError(2);
-
- negTimeRatio=((Double_t)hTime->Integral(1,3)*100.)/((Double_t)hTime->Integral());
- printf("Main peak time (landau): mean = %f +- %f\n",peakTime,peakTimeErr );
- printf("Main peak time (landau): spread = %f +- %f\n",spreadTime,spreadTimeErr );
- printf("Ratio of tracks with time<12.5 ns / total = %f\n",negTimeRatio );
+ //create chain of treePostQA
+ Long64_t nentries=100000, firstentry=0;
+ TChain *chainTree =new TChain("trendTree");
- //add integral of main peak over total
- }
- printf("---------------------------------------------------------------- \n");
- TH1F * hRawTime = (TH1F*)postfile->Get("hTOFmatchedESDrawTime");
- if ((hRawTime)&&(hRawTime->GetEntries()>0)){
- avRawTime=hRawTime->GetMean();
- hRawTime->Fit("landau","","",200.,250.);
- peakRawTime=(hRawTime->GetFunction("landau"))->GetParameter(1);
- spreadRawTime=(hRawTime->GetFunction("landau"))->GetParameter(2);
- peakRawTimeErr=(hRawTime->GetFunction("landau"))->GetParError(1);
- spreadRawTimeErr=(hRawTime->GetFunction("landau"))->GetParError(2);
- printf("Main peak raw time (landau): mean = %f +- %f\n",peakTime,peakTimeErr );
- printf("Main peak raw time (landau): spread = %f +- %f\n",spreadRawTime,spreadRawTimeErr );
- }
-
- printf("---------------------------------------------------------------- \n");
-
- TH1F * hTot = (TH1F*)postfile->Get("hTOFmatchedESDToT");
- if ((hTot)&&(hTot->GetEntries()>0)){
- avTot=hTot->GetMean();
- hTot->Fit("gaus","","",0.,50.);
- peakTot=(hTot->GetFunction("gaus"))->GetParameter(1);
- spreadTot=(hTot->GetFunction("gaus"))->GetParameter(2);
- peakTotErr=(hTot->GetFunction("gaus"))->GetParError(1);
- spreadTotErr=(hTot->GetFunction("gaus"))->GetParError(2);
- printf("Main peak ToT (gaus): mean = %f +- %f\n",peakTot,peakTotErr );
- printf("Main peak ToT (gaus): spread = %f +- %f\n",spreadTot,spreadTotErr );
- }
- printf("---------------------------------------------------------------- \n");
- TH1F * hOrphansRatio=(TH1F*)postfile->Get("hOrphansRatio");
- if (hOrphansRatio)
- orphansRatio=hOrphansRatio->GetMean();
-
- TH1F * hL=(TH1F*)postfile->Get("hTOFmatchedESDtrkLength");
- if (hL)
- avL=hL->GetMean();
-
- TH1F *hLnegRatio =(TH1F*)postfile->Get("hLnegRatio");
- if (hLnegRatio)
- negLratio=hLnegRatio->GetMean();
-
- //--------------------------------- matching eff ----------------------------------//
-
- //Double_t linFitEff1Param[3]={0.,0.,0.};
- TH1F *hMatchingVsPt =(TH1F*)postfile->Get("hTOFmatchedESDPt");
- if (hMatchingVsPt) {
- if (hMatchingVsPt->GetEntries()>0){
- hMatchingVsPt->Fit("pol0","","",1.0,5.);
- hMatchingVsPt->Draw();
- if (hMatchingVsPt->GetFunction("pol0")){
- matchEffLinFit1Gev=(hMatchingVsPt->GetFunction("pol0"))->GetParameter(0);
- matchEffLinFit1GevErr=(hMatchingVsPt->GetFunction("pol0"))->GetParError(0);
- printf("Matching efficiency fit param is %f +- %f\n",matchEffLinFit1Gev,matchEffLinFit1GevErr );
- }
- } else {
- printf("WARNING: matching efficiency plot has 0 entries. Skipped!\n");
- }
- } else {
- printf("WARNING: cannot retrieve matching efficiency plot\n");
- }
-
- //--------------------------------- t-texp ----------------------------------//
-
- TH1F*hPiDiffTime=(TH1F*)postfile->Get("hTOFmatchedExpTimePi");
- if ((hPiDiffTime)&&(hPiDiffTime->GetEntries()>0)) {
- avPiDiffTime=hPiDiffTime->GetMean();
- hPiDiffTime->Fit("gaus","","",-1000.,500.);
- if (hPiDiffTime->GetFunction("gaus")){
- peakPiDiffTime=(hPiDiffTime->GetFunction("gaus"))->GetParameter(1);
- spreadPiDiffTime=(hPiDiffTime->GetFunction("gaus"))->GetParameter(2);
- peakPiDiffTimeErr=(hPiDiffTime->GetFunction("gaus"))->GetParError(1);
- spreadPiDiffTimeErr=(hPiDiffTime->GetFunction("gaus"))->GetParError(2);
- printf("Main peak t-t_exp (gaus): mean = %f +- %f\n",peakPiDiffTime,peakPiDiffTimeErr );
- printf("Main peak t-t_exp (gaus): spread = %f +- %f\n",spreadPiDiffTime,spreadPiDiffTimeErr );
- }
- }
- //--------------------------------- T0 detector ----------------------------------//
-
- TH1F*hT0A=(TH1F*)postfile->Get("hEventT0DetA");
- if ((hT0A)&&(hT0A->GetEntries()>0)) {
- avhT0A=hT0A->GetMean();
- hT0A->Fit("gaus");
- peakT0A=(hT0A->GetFunction("gaus"))->GetParameter(1);
- spreadT0A=(hT0A->GetFunction("gaus"))->GetParameter(2);
- peakT0AErr=(hT0A->GetFunction("gaus"))->GetParError(1);
- spreadT0AErr=(hT0A->GetFunction("gaus"))->GetParError(2);
- printf("Main peak T0A(gaus): mean = %f +- %f\n",peakT0A,peakT0AErr );
- printf("Main peak T0A (gaus): spread = %f +- %f\n",spreadT0A,spreadT0AErr );
- //add integral of main peak over total
- }
-
- TH1F*hT0C=(TH1F*)postfile->Get("hEventT0DetC");
- if ((hT0C)&&(hT0C->GetEntries()>0)) {
- avhT0C=hT0C->GetMean();
- hT0C->Fit("gaus");
- peakT0C=(hT0C->GetFunction("gaus"))->GetParameter(1);
- spreadT0C=(hT0C->GetFunction("gaus"))->GetParameter(2);
- peakT0CErr=(hT0C->GetFunction("gaus"))->GetParError(1);
- spreadT0CErr=(hT0C->GetFunction("gaus"))->GetParError(2);
- printf("Main peak T0C(gaus): mean = %f +- %f\n",peakT0C,peakT0CErr );
- printf("Main peak T0C (gaus): spread = %f +- %f\n",spreadT0C,spreadT0CErr );
- //add integral of main peak over total
- }
-
- TH1F*hT0AC=(TH1F*)postfile->Get("hEventT0DetAND");
- if ((hT0AC)&&(hT0AC->GetEntries()>0)) {
- avhT0AC=hT0AC->GetMean();
- hT0AC->Fit("gaus");
- peakT0AC=(hT0AC->GetFunction("gaus"))->GetParameter(1);
- spreadT0AC=(hT0AC->GetFunction("gaus"))->GetParameter(2);
- peakT0ACErr=(hT0AC->GetFunction("gaus"))->GetParError(1);
- spreadT0ACErr=(hT0AC->GetFunction("gaus"))->GetParError(2);
- printf("Main peak T0AC(gaus): mean = %f +- %f\n",peakT0AC,peakT0ACErr );
- printf("Main peak T0AC (gaus): spread = %f +- %f\n",spreadT0AC,spreadT0ACErr );
- }
-
- TH1F*hT0res=(TH1F*)postfile->Get("hT0DetRes");
- if ((hT0res)&&(hT0res->GetEntries()>0)) {
- avhT0res=hT0res->GetMean();
- hT0res->Fit("gaus");
- peakT0res=(hT0res->GetFunction("gaus"))->GetParameter(1);
- spreadT0res=(hT0res->GetFunction("gaus"))->GetParameter(2);
- peakT0resErr=(hT0res->GetFunction("gaus"))->GetParError(1);
- spreadT0resErr=(hT0res->GetFunction("gaus"))->GetParError(2);
- printf("Main peak T0res(gaus): mean = %f +- %f\n",peakT0res,peakT0resErr );
- printf("Main peak T0res (gaus): spread = %f +- %f\n",spreadT0res,spreadT0resErr );
- //add integral of main peak over total
- }
-
- TH1F*hT0fillRes=(TH1F*)postfile->Get("hT0fillRes");
- if ((hT0fillRes)&&(hT0fillRes->GetEntries()>0)) {
- avT0fillRes=hT0fillRes->GetMean();
- }
-
- ttree->Fill();
- printf("============== Saving trending quantities for run %i ===============\n",runNumber);
- if (postfile->IsOpen()) {
- printf("Trying to close\n");
- postfile->Close();
- }
- } else {
- printf("============== QA for run %i not available - skipping ===============\n",runNumber);
- }
-
- }
- printf("Number of files processed = %i\n",filesCounter);
-
- trendFile->cd();
- ttree->Write();
- trendFile->Close();
-
- return MakeTrendingFromTreeWithErrors(trendFileName);
+ while (fscanf(files,"%s",&infile)==1 ){
+ if (!TFile::Open(infile,"r"))
+ Printf("Error: cannot open file %s", infile);
+ Printf("============== Adding QA tree file %s to the chain",infile);
+ filesCounter++;
+ chainTree->Add(infile);
+ }
+ return MakeTrendingFromTreeWithErrors(chainTree, trendFileName, displayAll);
}
//______________________________________________________________________________
-
-Int_t MakeTrendingFromTreeWithErrors(char* trendFileName=NULL){
+Int_t MakeTrendingFromTreeWithErrors(TChain * fin,char* trendFileName=NULL, Bool_t displayAll=kFALSE){
if (!trendFileName)
return 3;
-
- TFile *fin=TFile::Open(trendFileName);
+
if (!fin)
return 4;
+
Int_t runNumber;
Double_t avTime=0., peakTime=0., spreadTime=0., peakTimeErr=0., spreadTimeErr=0.,negTimeRatio=0.,
avRawTime=0., peakRawTime=0., spreadRawTime=0., peakRawTimeErr=0., spreadRawTimeErr=0.,
Double_t avT0AC=0.,peakT0AC=0., spreadT0AC=0.,peakT0ACErr=0., spreadT0ACErr=0.;
Double_t avT0res=0.,peakT0res=0., spreadT0res=0.,peakT0resErr=0., spreadT0resErr=0.;
Int_t avMulti=0;
- Float_t fractionEventsWHits=0;
+ Float_t fractionEventsWHits=0.0;
+ Double_t goodChannelRatio=0.0;
- TTree * ttree=(TTree*)fin->Get("trendTree");
+ TTree * ttree = (TTree*) fin->CloneTree();
ttree->SetBranchAddress("run",&runNumber);
-
+ ttree->SetBranchAddress("goodChannelsRatio",&goodChannelRatio);
ttree->SetBranchAddress("avTime",&avTime); //mean time
ttree->SetBranchAddress("peakTime",&peakTime); //main peak time after fit
ttree->SetBranchAddress("spreadTime",&spreadTime); //spread of main peak of time after fit
Int_t nRuns=ttree->GetEntries();
TList lista;
- TH1F * hAvDiffTimeVsRun=new TH1F("hAvDiffTimeVsRun","hAvDiffTimeVsRun;run;<t^{TOF}-t_{exp,#pi}> (ps)",nRuns,0., nRuns);//, 600, 0. , 600.);
+ TH1F * hAvDiffTimeVsRun=new TH1F("hAvDiffTimeVsRun","Mean t-t_{exp} (no fit);run;<t^{TOF}-t_{exp,#pi}> (ps)",nRuns,0., nRuns);//, 600, 0. , 600.);
hAvDiffTimeVsRun->SetDrawOption("E1");
hAvDiffTimeVsRun->SetMarkerStyle(20);
hAvDiffTimeVsRun->SetMarkerColor(kBlue);
// hAvTimeVsRun->GetYaxis()->SetRangeUser(0.0, 50.0);
- TH1F * hPeakDiffTimeVsRun=new TH1F("hPeakDiffTimeVsRun","hPeakDiffTimeVsRun (gaussian fit) ;run; <t^{TOF}-t_{exp,#pi}> (ps)",nRuns,0., nRuns);//,600, 0. , 600. );
+ TH1F * hPeakDiffTimeVsRun=new TH1F("hPeakDiffTimeVsRun","t-t_{exp} (gaussian fit) ;; <t^{TOF}-t_{exp,#pi}> (ps)",nRuns,0., nRuns);//,600, 0. , 600. );
hPeakDiffTimeVsRun->SetDrawOption("E1");
hPeakDiffTimeVsRun->SetMarkerStyle(20);
hPeakDiffTimeVsRun->SetMarkerColor(kBlue);
- TH1F * hSpreadDiffTimeVsRun=new TH1F("hSpreadDiffTimeVsRun","hSpreadDiffTimeVsRun (gaussian fit);run; #sigma(t^{TOF}-t_{exp,#pi}) (ns)",nRuns,0., nRuns);//, 100, 0. , 100.);
+ TH1F * hSpreadDiffTimeVsRun=new TH1F("hSpreadDiffTimeVsRun","#sigma(t-t_{exp}) (gaussian fit);; #sigma(t^{TOF}-t_{exp,#pi}) (ns)",nRuns,0., nRuns);//, 100, 0. , 100.);
hSpreadDiffTimeVsRun->SetDrawOption("E1");
hSpreadDiffTimeVsRun->SetMarkerStyle(20);
hSpreadDiffTimeVsRun->SetMarkerColor(kBlue);
- TH1F * hAvTimeVsRun=new TH1F("hAvTimeVsRun","hAvTimeVsRun;run;<t^{TOF}> (ns)",nRuns,0., nRuns);//, 600, 0. , 600.);
+ TH1F * hAvTimeVsRun=new TH1F("hAvTimeVsRun","<t^{TOF}>;;<t^{TOF}> (ns)",nRuns,0., nRuns);//, 600, 0. , 600.);
hAvTimeVsRun->SetDrawOption("E1");
hAvTimeVsRun->SetMarkerStyle(20);
hAvTimeVsRun->SetMarkerColor(kBlue);
// hAvTimeVsRun->GetYaxis()->SetRangeUser(0.0, 50.0);
- TH1F * hPeakTimeVsRun=new TH1F("hPeakTimeVsRun","hPeakTimeVsRun (gaussian fit);run;t_{peak}^{TOF} (ns)",nRuns,0., nRuns);//,600, 0. , 600. );
+ TH1F * hPeakTimeVsRun=new TH1F("hPeakTimeVsRun","Peak value of t^{TOF} (landau fit);;t_{peak}^{TOF} (ns)",nRuns,0., nRuns);//,600, 0. , 600. );
hPeakTimeVsRun->SetDrawOption("E1");
hPeakTimeVsRun->SetMarkerStyle(20);
hPeakTimeVsRun->SetMarkerColor(kBlue);
- TH1F * hSpreadTimeVsRun=new TH1F("hSpreadTimeVsRun","hSpreadTimeVsRun (gaussian fit);run; #sigma(t^{TOF}) (ns)",nRuns,0., nRuns);//, 100, 0. , 100.);
+ TH1F * hSpreadTimeVsRun=new TH1F("hSpreadTimeVsRun","Spread of t^{TOF} (landau fit);; #sigma(t^{TOF}) (ns)",nRuns,0., nRuns);//, 100, 0. , 100.);
hSpreadTimeVsRun->SetDrawOption("E1");
hSpreadTimeVsRun->SetMarkerStyle(20);
hSpreadTimeVsRun->SetMarkerColor(kBlue);
-
- TH1F * hAvRawTimeVsRun=new TH1F("hAvRawTimeVsRun","hAvRawTimeVsRun;run;<t_{raw}^{TOF}> (ns)",nRuns,0., nRuns);//, 600, 0. , 600.);
+ TH1F * hAvRawTimeVsRun=new TH1F("hAvRawTimeVsRun","Peak value of raw t^{TOF};;<t_{raw}^{TOF}> (ns)",nRuns,0., nRuns);//, 600, 0. , 600.);
hAvRawTimeVsRun->SetDrawOption("E1");
hAvRawTimeVsRun->SetMarkerStyle(21);
hAvRawTimeVsRun->SetMarkerColor(kGreen);
- TH1F * hPeakRawTimeVsRun=new TH1F("hPeakRawTimeVsRun","hPeakRawTimeVsRun (gaussian fit);run;t_{peak,raw}^{TOF} (ns)",nRuns,0., nRuns);//, 600, 0. , 600.);
+ TH1F * hPeakRawTimeVsRun=new TH1F("hPeakRawTimeVsRun","Peak value of raw t^{TOF} (landau fit);;t_{peak,raw}^{TOF} (ns)",nRuns,0., nRuns);//, 600, 0. , 600.);
hPeakRawTimeVsRun->SetDrawOption("E1");
hPeakRawTimeVsRun->SetMarkerStyle(21);
hPeakRawTimeVsRun->SetMarkerColor(kGreen);
- TH1F * hSpreadRawTimeVsRun=new TH1F("hSpreadRawTimeVsRun","hSpreadRawTimeVsRun (gaussian fit);run;#sigma(t_{raw}^{TOF}) (ns)",nRuns,0., nRuns);//, 100, 0. , 100.);
+ TH1F * hSpreadRawTimeVsRun=new TH1F("hSpreadRawTimeVsRun","Spread of raw t^{TOF} (landau fit);;#sigma(t_{raw}^{TOF}) (ns)",nRuns,0., nRuns);//, 100, 0. , 100.);
hSpreadRawTimeVsRun->SetDrawOption("E1");
hSpreadRawTimeVsRun->SetMarkerStyle(21);
hSpreadRawTimeVsRun->SetMarkerColor(kGreen);
- TH1F * hAvTotVsRun=new TH1F("hAvTotVsRun","hAvTotVsRun;run;<ToT> (ns)",nRuns,0., nRuns);//, 50, 0. , 50.);
+ TH1F * hAvTotVsRun=new TH1F("hAvTotVsRun","<ToT> (no fit);run;<ToT> (ns)",nRuns,0., nRuns);//, 50, 0. , 50.);
hAvTotVsRun->SetDrawOption("E1");
hAvTotVsRun->SetMarkerStyle(22);
- TH1F * hPeakTotVsRun=new TH1F("hPeakTotVsRun","hPeakTotVsRun (gaussian fit);run;ToT_{peak} (ns)",nRuns,0., nRuns);//, 50, 0. , 50.);
+ TH1F * hPeakTotVsRun=new TH1F("hPeakTotVsRun","<ToT> (gaussian fit);;ToT_{peak} (ns)",nRuns,0., nRuns);//, 50, 0. , 50.);
hPeakTotVsRun->SetDrawOption("E1");
hPeakTotVsRun->SetMarkerStyle(22);
- TH1F * hSpreadTotVsRun=new TH1F("hSpreadTotVsRun","hSpreadTotVsRun (gaussian fit);#sigma(ToT) (ns)",nRuns,0., nRuns);//, 50, 0. , 50.);
+ TH1F * hSpreadTotVsRun=new TH1F("hSpreadTotVsRun","#sigma(ToT) (gaussian fit);#sigma(ToT) (ns)",nRuns,0., nRuns);//, 50, 0. , 50.);
hSpreadTotVsRun->SetDrawOption("E1");
hSpreadTotVsRun->SetMarkerStyle(22);
- TH1F * hNegTimeRatioVsRun=new TH1F("hNegTimeRatioVsRun","hNegTimeRatioVsRun;run;ratio of tracks with t^{TOF}<12.5 ns (%)",nRuns, 0., nRuns);//, 100, 0. , 100.);
+ TH1F * hNegTimeRatioVsRun=new TH1F("hNegTimeRatioVsRun","Ratio of tracks with t^{TOF}<12.5 ns; ; ratio of tracks with t^{TOF}<12.5 ns (%)",nRuns, 0., nRuns);//, 100, 0. , 100.);
hNegTimeRatioVsRun->SetDrawOption("E");
- TH1F * hOrphansRatioVsRun=new TH1F("hOrphansRatioVsRun","hOrphansRatioVsRun; run; ratio of orphans (%)",nRuns, 0., nRuns);//, 1000, 0. , 100.);
+ TH1F * hOrphansRatioVsRun=new TH1F("hOrphansRatioVsRun","Ratio of orphans (hits with ToT=0); ; ratio of orphans (%)",nRuns, 0., nRuns);//, 1000, 0. , 100.);
hOrphansRatioVsRun->SetDrawOption("E");
- TH1F * hMeanLVsRun=new TH1F("hMeanLVsRun","hMeanLVsRun;run; <L> (cm)",nRuns, 0., nRuns);//, 350, 350. , 700.);
+ TH1F * hMeanLVsRun=new TH1F("hMeanLVsRun","Average track length;; <L> (cm)",nRuns, 0., nRuns);//, 350, 350. , 700.);
hMeanLVsRun->SetDrawOption("E");
- TH1F * hNegLRatioVsRun=new TH1F("hNegLRatioVsRun","hNegLRatioVsRun;run; ratio of tracks with L<350 cm (%)",nRuns, 0., nRuns);//, 1000, 0. , 100.);
+ TH1F * hNegLRatioVsRun=new TH1F("hNegLRatioVsRun","Ratio of tracks with L<350 cm;; ratio of tracks with L<350 cm (%)",nRuns, 0., nRuns);//, 1000, 0. , 100.);
hNegLRatioVsRun->SetDrawOption("E");
- TH1F * hMatchEffVsRun=new TH1F("hMatchEffVsRun","hMatchEffVsRun;run;matching efficiency (pT>1.5 GeV/c)",nRuns, 0., nRuns);//, 100, 0. , 1.);
+ TH1F * hMatchEffVsRun=new TH1F("hMatchEffVsRun","Matching efficiency (linear fit for p_{T}>1.0 GeV/c);;matching efficiency (pT>1.0 GeV/c)",nRuns, 0., nRuns);//, 100, 0. , 1.);
hMatchEffVsRun->SetDrawOption("E");
- TH1F * hMatchEffVsRun1=new TH1F("hMatchEffVsRun1","hMatchEffVsRun;run;matching efficiency (pT>1.0 GeV/c)",nRuns, 0., nRuns);
+ TH1F * hMatchEffVsRunNormToGoodCh=new TH1F("hMatchEffVsRunNormToGoodCh","Matching efficiency normalized to percentage of TOF good channels;;matching efficiency (pT>1.0 GeV/c)",nRuns, 0., nRuns);//, 100, 0. , 1.);
+ hMatchEffVsRunNormToGoodCh->SetDrawOption("E");
+
+ TH1F * hMatchEffVsRun1=new TH1F("hMatchEffVsRun1","Matching efficiency (value for p_{T}=1.0 GeV/c);;matching efficiency (pT=1.0 GeV/c)",nRuns, 0., nRuns);
hMatchEffVsRun1->SetDrawOption("E");
- TH1F * hPeakT0AVsRun=new TH1F("hPeakT0AVsRun","hPeakT0AVsRun (gaussian fit);run;t0A (ps)",nRuns,0., nRuns);
- TH1F * hPeakT0CVsRun=new TH1F("hPeakT0CVsRun","hPeakT0CVsRun (gaussian fit);run;t0AC (ps)",nRuns,0., nRuns);
- TH1F * hPeakT0ACVsRun=new TH1F("hPeakT0ACVsRun","hPeakT0ACVsRun (gaussian fit);run;t0AC (ps)",nRuns,0., nRuns);
- TH1F * hT0fillResVsRun=new TH1F("hT0fillResVsRun","hT0fillResVsRun;run;t0_spread (ps)",nRuns,0., nRuns);
-
+ TH1F * hPeakT0AVsRun=new TH1F("hPeakT0AVsRun","Peak value of T0A (gaussian fit);;t0A (ps)",nRuns,0., nRuns);
+ TH1F * hPeakT0CVsRun=new TH1F("hPeakT0CVsRun","Peak value of T0C (gaussian fit);;t0AC (ps)",nRuns,0., nRuns);
+ TH1F * hPeakT0ACVsRun=new TH1F("hPeakT0ACVsRun","Peak value of T0AC (gaussian fit);;t0AC (ps)",nRuns,0., nRuns);
+ TH1F * hT0fillResVsRun=new TH1F("hT0fillResVsRun","t0_fill spread;;t0_spread (ps)",nRuns,0., nRuns);
+
+
+
lista.Add(hAvDiffTimeVsRun);
lista.Add(hPeakDiffTimeVsRun);
lista.Add(hSpreadDiffTimeVsRun);
lista.Add( hMeanLVsRun);
lista.Add( hNegLRatioVsRun);
lista.Add( hMatchEffVsRun);
+ lista.Add(hMatchEffVsRunNormToGoodCh);
lista.Add(hPeakT0AVsRun);
lista.Add(hPeakT0CVsRun);
lista.Add(hPeakT0ACVsRun);
hSpreadRawTimeVsRun->SetBinError(irun+1,spreadRawTimeErr);
hSpreadRawTimeVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
- hAvTotVsRun->SetBinContent(irun,avTot);
+ hAvTotVsRun->SetBinContent(irun+1,avTot);
hAvTotVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
- hPeakTotVsRun->SetBinContent(irun,peakTot);
+ hPeakTotVsRun->SetBinContent(irun+1,peakTot);
hPeakTotVsRun->SetBinError(irun+1,peakTotErr);
hPeakTotVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
- hSpreadTotVsRun->SetBinContent(irun,spreadTot);
+ hSpreadTotVsRun->SetBinContent(irun+1,spreadTot);
hSpreadTotVsRun->SetBinError(irun+1,spreadTotErr);
hSpreadTotVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
- hNegTimeRatioVsRun->SetBinContent(irun,negTimeRatio);
+ hNegTimeRatioVsRun->SetBinContent(irun+1,negTimeRatio);
hNegTimeRatioVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
- hOrphansRatioVsRun->SetBinContent(irun,orphansRatio);
+ hOrphansRatioVsRun->SetBinContent(irun+1,orphansRatio);
hOrphansRatioVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
- hMeanLVsRun->SetBinContent(irun,avL);
+ hMeanLVsRun->SetBinContent(irun+1,avL);
hMeanLVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
- hNegLRatioVsRun->SetBinContent(irun,negLratio);
+ hNegLRatioVsRun->SetBinContent(irun+1,negLratio);
hNegLRatioVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
- hMatchEffVsRun->SetBinContent(irun,matchEffLinFit1Gev);
+ hMatchEffVsRun->SetBinContent(irun+1,matchEffLinFit1Gev);
hMatchEffVsRun->SetBinError(irun+1,matchEffLinFit1GevErr);
hMatchEffVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
-
+ hMatchEffVsRun->SetLineColor(kRed);
+ hMatchEffVsRun->SetLineWidth(2);
+
+ if (goodChannelRatio>0)
+ hMatchEffVsRunNormToGoodCh->SetBinContent(irun+1,matchEffLinFit1Gev/goodChannelRatio);
+ else
+ hMatchEffVsRunNormToGoodCh->SetBinContent(irun+1, 0.0);
+ hMatchEffVsRunNormToGoodCh->SetBinError(irun+1,matchEffLinFit1GevErr);
+ hMatchEffVsRunNormToGoodCh->GetXaxis()->SetBinLabel(irun+1,runlabel);
+ hMatchEffVsRunNormToGoodCh->SetLineColor(kBlue);
+ hMatchEffVsRunNormToGoodCh->SetLineWidth(2);
+
hPeakT0AVsRun->SetBinContent(irun+1,peakT0A);
hPeakT0AVsRun->SetBinError(irun+1,spreadT0A);
hPeakT0AVsRun->GetXaxis()->SetBinLabel(irun+1,runlabel);
TString plotDir(Form("PlotsTrending"));
gSystem->Exec(Form("mkdir %s",plotDir.Data()));
- TCanvas* cAvDiffTimeVsRun = new TCanvas("cAvDiffTimeVsRun","cAvDiffTimeVsRun",50,50,750,550);
- gPad->SetGridx();
- gPad->SetGridy();
- hAvDiffTimeVsRun->Draw();
- cAvDiffTimeVsRun->Print(Form("%s/cAvDiffTimeVsRun.png",plotDir.Data()));
-
TCanvas* cPeakDiffTimeVsRun = new TCanvas("cPeakDiffTimeVsRun","cPeakDiffTimeVsRun", 50,50,750,550);
+ hPeakDiffTimeVsRun->GetYaxis()->SetRangeUser(-50.,50.);
hPeakDiffTimeVsRun->Draw();
cPeakDiffTimeVsRun->Print(Form("%s/cPeakDiffTimeVsRun.png",plotDir.Data()));
TCanvas* cSpreadDiffTimeVsRun = new TCanvas("cSpreadDiffTimeVsRun","cSpreadDiffTimeVsRun", 50,50,750,550);
+ hSpreadDiffTimeVsRun->GetYaxis()->SetRangeUser(200.,400.);
hSpreadDiffTimeVsRun->Draw();
cSpreadDiffTimeVsRun->Print(Form("%s/cSpreadDiffTimeVsRun.png",plotDir.Data()));
- TCanvas* cAvTimeVsRun = new TCanvas("cAvTimeVsRun","cAvTimeVsRun", 50,50,750,550);
- hAvTimeVsRun->Draw();
- cAvTimeVsRun->Print(Form("%s/cAvTimeVsRun.png",plotDir.Data()));
-
- TCanvas* cPeakTimeVsRun = new TCanvas("cPeakTimeVsRun","cPeakTimeVsRun", 50,50,750,550);
- hPeakTimeVsRun->Draw();
- cPeakTimeVsRun->Print(Form("%s/cPeakTimeVsRun.png",plotDir.Data()));
-
- TCanvas* cSpreadTimeVsRun = new TCanvas("cSpreadTimeVsRun","cSpreadTimeVsRun", 50,50,750,550);
- hSpreadTimeVsRun->Draw();
- cSpreadTimeVsRun->Print(Form("%s/cSpreadTimeVsRun.png",plotDir.Data()));
-
- TCanvas* cAvRawTimeVsRun = new TCanvas("cAvRawTimeVsRun","cAvRawTimeVsRun", 50,50,750,550);
- hAvRawTimeVsRun->Draw();
- cAvRawTimeVsRun->Print(Form("%s/cAvRawTimeVsRun.png",plotDir.Data()));
-
- TCanvas* cPeakRawTimeVsRun = new TCanvas("cPeakRawTimeVsRun","cPeakRawTimeVsRun", 50,50,750,550);
- hPeakRawTimeVsRun->Draw();
- cPeakRawTimeVsRun->Print(Form("%s/cPeakRawTimeVsRun.png",plotDir.Data()));
-
- TCanvas* cSpreadRawTimeVsRun = new TCanvas("cSpreadRawTimeVsRun","cSpreadRawTimeVsRun", 50,50,750,550);
- hSpreadRawTimeVsRun->Draw();
- cSpreadRawTimeVsRun->Print(Form("%s/cSpreadRawTimeVsRun.png",plotDir.Data()));
-
- TCanvas* cAvTotVsRun = new TCanvas("cAvTotVsRun","cAvTotVsRun", 50,50,750,550);
- hAvTotVsRun->Draw();
- cAvTotVsRun->Print(Form("%s/cAvTotVsRun.png",plotDir.Data()));
-
- TCanvas* cPeakTotVsRun = new TCanvas("cPeakTotVsRun","cPeakTotVsRun", 50,50,750,550);
- hPeakTotVsRun->Draw();
- cPeakTotVsRun->Print(Form("%s/cPeakTotVsRun.png",plotDir.Data()));
-
- TCanvas* cSpreadTotVsRun = new TCanvas("cSpreadTotVsRun","cSpreadTotVsRun", 50,50,750,550);
- hSpreadTotVsRun->Draw();
- cSpreadTotVsRun->Print(Form("%s/cSpreadTotVsRun.png",plotDir.Data()));
-
- TCanvas* cNegTimeRatioVsRun = new TCanvas("cNegTimeRatioVsRun","cNegTimeRatioVsRun", 50,50,750,550);
- hNegTimeRatioVsRun->Draw();
- cNegTimeRatioVsRun->Print(Form("%s/cNegTimeRatioVsRun.png",plotDir.Data()));
-
- TCanvas* cOrphansRatioVsRun = new TCanvas("cOrphansRatioVsRun","cOrphansRatioVsRun", 50,50,750,550);
- hOrphansRatioVsRun->Draw();
- cOrphansRatioVsRun->Print(Form("%s/cOrphansRatioVsRun.png",plotDir.Data()));
-
- TCanvas* cMeanLVsRun = new TCanvas("cMeanLVsRun","cMeanLVsRun", 50,50,750,550);
- hMeanLVsRun->Draw();
- cMeanLVsRun->Print(Form("%s/cMeanLVsRun.png",plotDir.Data()));
-
- TCanvas* cNegLRatioVsRun = new TCanvas("cNegLRatioVsRun","cNegLRatioVsRun", 50,50,750,550);
- hNegLRatioVsRun->Draw();
- cNegLRatioVsRun->Print(Form("%s/cNegLRatioVsRun.png",plotDir.Data()));
-
- TCanvas* cMatchEffVsRun = new TCanvas("cMatchEffVsRun","cMatchEffVsRun", 50,50,750,550);
+ TCanvas* cMatchEffVsRun = new TCanvas("cMatchEffVsRun","cMatchEffVsRun",50, 50, 750,550);
+ hMatchEffVsRun->GetYaxis()->SetRangeUser(0.,1.);
hMatchEffVsRun->Draw();
cMatchEffVsRun->Print(Form("%s/cMatchEffVsRun.png",plotDir.Data()));
+ TCanvas* cMatchEffNormToGoodCh = new TCanvas("cMatchEffNormToGoodCh","cMatchEffNormToGoodCh",50, 50,750,550);
+ hMatchEffVsRunNormToGoodCh->GetYaxis()->SetRangeUser(0.,1.);
+ hMatchEffVsRunNormToGoodCh->Draw();
+ cMatchEffNormToGoodCh->Print(Form("%s/cMatchEffNormToGoodCh.png",plotDir.Data()));
+
TCanvas* cPeakT0AVsRun = new TCanvas("cPeakT0AVsRun","cPeakT0AVsRun", 50,50,750,550);
hPeakT0AVsRun->Draw();
cPeakT0AVsRun->Print(Form("%s/cPeakT0AVsRun.png",plotDir.Data()));
hT0fillResVsRun->Draw();
cT0fillResVsRun->Print(Form("%s/cT0fillResVsRun.png",plotDir.Data()));
-
+ if (displayAll) {
+ TCanvas* cAvDiffTimeVsRun = new TCanvas("cAvDiffTimeVsRun","cAvDiffTimeVsRun",50,50,750,550);
+ gPad->SetGridx();
+ gPad->SetGridy();
+ hAvDiffTimeVsRun->Draw();
+ cAvDiffTimeVsRun->Print(Form("%s/cAvDiffTimeVsRun.png",plotDir.Data()));
+
+ TCanvas* cAvTimeVsRun = new TCanvas("cAvTimeVsRun","cAvTimeVsRun", 50,50,750,550);
+ hAvTimeVsRun->Draw();
+ cAvTimeVsRun->Print(Form("%s/cAvTimeVsRun.png",plotDir.Data()));
+
+ TCanvas* cPeakTimeVsRun = new TCanvas("cPeakTimeVsRun","cPeakTimeVsRun", 50,50,750,550);
+ hPeakTimeVsRun->Draw();
+ cPeakTimeVsRun->Print(Form("%s/cPeakTimeVsRun.png",plotDir.Data()));
+
+ TCanvas* cSpreadTimeVsRun = new TCanvas("cSpreadTimeVsRun","cSpreadTimeVsRun", 50,50,750,550);
+ hSpreadTimeVsRun->Draw();
+ cSpreadTimeVsRun->Print(Form("%s/cSpreadTimeVsRun.png",plotDir.Data()));
+
+ TCanvas* cAvRawTimeVsRun = new TCanvas("cAvRawTimeVsRun","cAvRawTimeVsRun", 50,50,750,550);
+ hAvRawTimeVsRun->Draw();
+ cAvRawTimeVsRun->Print(Form("%s/cAvRawTimeVsRun.png",plotDir.Data()));
+
+ TCanvas* cPeakRawTimeVsRun = new TCanvas("cPeakRawTimeVsRun","cPeakRawTimeVsRun", 50,50,750,550);
+ hPeakRawTimeVsRun->Draw();
+ cPeakRawTimeVsRun->Print(Form("%s/cPeakRawTimeVsRun.png",plotDir.Data()));
+
+ TCanvas* cSpreadRawTimeVsRun = new TCanvas("cSpreadRawTimeVsRun","cSpreadRawTimeVsRun", 50,50,750,550);
+ hSpreadRawTimeVsRun->Draw();
+ cSpreadRawTimeVsRun->Print(Form("%s/cSpreadRawTimeVsRun.png",plotDir.Data()));
+
+ TCanvas* cAvTotVsRun = new TCanvas("cAvTotVsRun","cAvTotVsRun", 50,50,750,550);
+ hAvTotVsRun->Draw();
+ cAvTotVsRun->Print(Form("%s/cAvTotVsRun.png",plotDir.Data()));
+
+ TCanvas* cPeakTotVsRun = new TCanvas("cPeakTotVsRun","cPeakTotVsRun", 50,50,750,550);
+ hPeakTotVsRun->Draw();
+ cPeakTotVsRun->Print(Form("%s/cPeakTotVsRun.png",plotDir.Data()));
+
+ TCanvas* cSpreadTotVsRun = new TCanvas("cSpreadTotVsRun","cSpreadTotVsRun", 50,50,750,550);
+ hSpreadTotVsRun->Draw();
+ cSpreadTotVsRun->Print(Form("%s/cSpreadTotVsRun.png",plotDir.Data()));
+
+ TCanvas* cNegTimeRatioVsRun = new TCanvas("cNegTimeRatioVsRun","cNegTimeRatioVsRun", 50,50,750,550);
+ hNegTimeRatioVsRun->Draw();
+ cNegTimeRatioVsRun->Print(Form("%s/cNegTimeRatioVsRun.png",plotDir.Data()));
+
+ TCanvas* cOrphansRatioVsRun = new TCanvas("cOrphansRatioVsRun","cOrphansRatioVsRun", 50,50,750,550);
+ hOrphansRatioVsRun->Draw();
+ cOrphansRatioVsRun->Print(Form("%s/cOrphansRatioVsRun.png",plotDir.Data()));
+
+ TCanvas* cMeanLVsRun = new TCanvas("cMeanLVsRun","cMeanLVsRun", 50,50,750,550);
+ hMeanLVsRun->Draw();
+ cMeanLVsRun->Print(Form("%s/cMeanLVsRun.png",plotDir.Data()));
+
+ TCanvas* cNegLRatioVsRun = new TCanvas("cNegLRatioVsRun","cNegLRatioVsRun", 50,50,750,550);
+ hNegLRatioVsRun->Draw();
+ cNegLRatioVsRun->Print(Form("%s/cNegLRatioVsRun.png",plotDir.Data()));
+ }
+
return 0;
}
+//-------------------------------------------------------------------------
+Int_t MakePostQAtree(Int_t runNumber, Bool_t isMC=kFALSE, char * postFileName="postQA.0.root",char * treePostFileName="treePostQA.0.root"){
+
+ TFile *postfile=TFile::Open(postFileName);
+ if (!postfile) {
+ printf("Post-analysis output not found - cannot perform trending analysis. Exiting.");
+ return -1;
+ }
+ Printf("============== Getting post-analysis info for run %i ===============\n",runNumber);
+ TFile * trendFile=new TFile(treePostFileName,"recreate");
+
+ Double_t avTime=-9999., peakTime=-9999., spreadTime=-9999., peakTimeErr=-9999., spreadTimeErr=-9999., negTimeRatio=-9999.,
+ avRawTime=-9999., peakRawTime=-9999., spreadRawTime=-9999., peakRawTimeErr=-9999., spreadRawTimeErr=-9999.,
+ avTot=-9999., peakTot=-9999.,spreadTot=-9999., peakTotErr=-9999.,spreadTotErr=-9999.,
+ orphansRatio=-9999., avL=-9999., negLratio=-9999.,
+ effPt1=-9999., effPt2=-9999., matchEffLinFit1Gev=-9999.,matchEffLinFit1GevErr=-9999.;
+
+ Double_t avPiDiffTime=-9999.,peakPiDiffTime=-9999., spreadPiDiffTime=-9999.,peakPiDiffTimeErr=-9999., spreadPiDiffTimeErr=-9999.;
+
+ Double_t avT0A=-9999.,peakT0A=-9999., spreadT0A=-9999.,peakT0AErr=-9999., spreadT0AErr=-9999.;
+ Double_t avT0C=-9999.,peakT0C=-9999., spreadT0C=-9999.,peakT0CErr=-9999., spreadT0CErr=-9999.;
+ Double_t avT0AC=-9999.,peakT0AC=-9999., spreadT0AC=-9999.,peakT0ACErr=-9999., spreadT0ACErr=-9999.;
+ Double_t avT0res=-9999.,peakT0res=-9999., spreadT0res=-9999.,peakT0resErr=-9999., spreadT0resErr=-9999.;
+ Double_t avT0fillRes=-9999.;
+
+ Int_t avMulti=0;
+ Float_t fractionEventsWHits=-9999.;
+ /*number of good (HW ok && efficient && !noisy) TOF channels from OCDB*/
+ Double_t goodChannelRatio=0.0;
+
+ TTree * ttree=new TTree("trendTree","tree of trending variables");
+ ttree->Branch("run",&runNumber,"run/I");
+ ttree->Branch("avMulti",&avMulti,"avMulti/I");
+ ttree->Branch("fractionEventsWHits",&fractionEventsWHits,"fractionEventsWHits/F");
+ ttree->Branch("goodChannelsRatio",&goodChannelRatio,"goodChannelRatio/D");
+ ttree->Branch("avTime",&avTime,"avTime/D"); //mean time
+ ttree->Branch("peakTime",&peakTime,"peakTime/D"); //main peak time after fit
+ ttree->Branch("spreadTime",&spreadTime,"spreadTime/D"); //spread of main peak of time after fit
+ ttree->Branch("peakTimeErr",&peakTimeErr,"peakTimeErr/D"); //main peak time after fit error
+ ttree->Branch("spreadTimeErr",&spreadTimeErr,"spreadTimeErr/D"); //spread of main peak of time after fit error
+ ttree->Branch("negTimeRatio",&negTimeRatio,"negTimeRatio/D"); //negative time ratio
+
+ ttree->Branch("avRawTime",&avRawTime,"avRawTime/D"); //mean raw time
+ ttree->Branch("peakRawTime",&peakRawTime,"peakRawTime/D"); //mean peak of RAW TIME after fit
+ ttree->Branch("spreadRawTime",&spreadRawTime,"spreadRawTime/D"); //spread of main peak of raw time after fit
+ ttree->Branch("peakRawTimeErr",&peakRawTimeErr,"peakRawTimeErr/D"); //main peak raw time after fit error
+ ttree->Branch("spreadRawTimeErr",&spreadRawTimeErr,"spreadRawTimeErr/D"); //spread of raw main peak of time after fit error
+
+ ttree->Branch("avTot",&avTot,"avTot/D"); //main peak tot
+ ttree->Branch("peakTot",&peakTot,"peakTot/D"); // main peak of tot after fit
+ ttree->Branch("spreadTot",&spreadTot,"spreadTot/D"); //spread of main peak of tot after fit
+ ttree->Branch("peakTotErr",&peakTotErr,"peakTotErr/D"); // main peak of tot after fit
+ ttree->Branch("spreadTotErr",&spreadTotErr,"spreadTotErr/D"); //spread of main peak of tot after fit
+
+ ttree->Branch("orphansRatio",&orphansRatio,"orphansRatio/D"); //orphans ratio
+
+ ttree->Branch("avL",&avL,"avL/D"); //mean track length
+ ttree->Branch("negLratio",&negLratio,"negLratio/D");//ratio of tracks with track length <350 cm
+ ttree->Branch("effPt1",&effPt1,"effPt1/D");//matching eff at 1 GeV/c
+ ttree->Branch("effPt2",&effPt2,"effPt2/D"); //matching eff at 2 GeV/c
+ ttree->Branch("matchEffLinFit1Gev",&matchEffLinFit1Gev,"matchEffLinFit1Gev/D");//matching eff fit param
+ ttree->Branch("matchEffLinFit1GevErr",&matchEffLinFit1GevErr,"matchEffLinFit1GevErr/D");////matching eff fit param error
+
+ ttree->Branch("avPiDiffTime",&avPiDiffTime,"avPiDiffTime/D"); //mean t-texp
+ ttree->Branch("peakPiDiffTime",&peakPiDiffTime,"peakPiDiffTime/D"); //main peak t-texp after fit
+ ttree->Branch("spreadPiDiffTime",&spreadPiDiffTime,"spreadPiDiffTime/D"); //spread of main peak t-texp after fit
+ ttree->Branch("peakPiDiffTimeErr",&peakPiDiffTimeErr,"peakPiDiffTimeErr/D"); //main peak t-texp after fit error
+ ttree->Branch("spreadPiDiffTimeErr",&spreadPiDiffTimeErr,"spreadPiDiffTimeErr/D"); //spread of main peak of t-texp after fit error
+
+ ttree->Branch("avT0A",&avT0A,"avT0A/D"); //main peak t0A
+ ttree->Branch("peakT0A",&peakT0A,"peakT0A/D"); // main peak of t0A after fit
+ ttree->Branch("spreadT0A",&spreadT0A,"spreadTot/D"); //spread of main peak of t0A after fit
+ ttree->Branch("peakT0AErr",&peakT0AErr,"peakT0AErr/D"); // main peak of t0A after fit
+ ttree->Branch("spreadT0AErr",&spreadT0AErr,"spreadT0AErr/D"); //spread of main peak of t0A after fit
+
+ ttree->Branch("avT0C",&avT0C,"avT0C/D"); //main peak t0C
+ ttree->Branch("peakT0C",&peakT0C,"peakT0C/D"); // main peak of t0C after fit
+ ttree->Branch("spreadT0C",&spreadT0C,"spreadT0C/D"); //spread of main peak of t0C after fit
+ ttree->Branch("peakT0CErr",&peakT0CErr,"peakT0CErr/D"); // main peak of t0C after fit
+ ttree->Branch("spreadT0CErr",&spreadT0CErr,"spreadT0CErr/D"); //spread of main peak of t0C after fit
+
+ ttree->Branch("avT0AC",&avT0AC,"avT0AC/D"); //main peak t0AC
+ ttree->Branch("peakT0AC",&peakT0AC,"peakT0AC/D"); // main peak of t0AC after fit
+ ttree->Branch("spreadT0AC",&spreadT0AC,"spreadT0AC/D"); //spread of main peak of t0AC after fit
+ ttree->Branch("peakT0ACErr",&peakT0ACErr,"peakT0ACErr/D"); // main peak of t0AC after fit
+ ttree->Branch("spreadT0ACErr",&spreadT0ACErr,"spreadT0ACErr/D"); //spread of main peak of t0AC after fit
+
+ ttree->Branch("avT0res",&avT0res,"avT0res/D"); //main peak t0AC
+ ttree->Branch("peakT0res",&peakT0res,"peakT0res/D"); // main peak of t0AC after fit
+ ttree->Branch("spreadT0res",&spreadT0res,"spreadT0res/D"); //spread of main peak of t0AC after fit
+ ttree->Branch("peakT0resErr",&peakT0resErr,"peakT0resErr/D"); // main peak of t0AC after fit
+ ttree->Branch("spreadT0resErr",&spreadT0resErr,"spreadT0resErr/D"); //spread of main peak of t0AC after fit
+ ttree->Branch("avT0fillRes",&avT0fillRes,"avT0fillRes/D"); //t0 fill res
+
+ //postfile->ls();
+ //save quantities for trending
+ goodChannelRatio=(Double_t)GetGoodTOFChannelsRatio(runNumber);
+
+ //--------------------------------- Multiplicity ----------------------------------//
+ TH1F*hMulti=(TH1F*)postfile->Get("hTOFmatchedPerEvt");
+ if ((hMulti)&&(hMulti->GetEntries()>0)) {
+ avMulti=hMulti->GetMean();
+ }
+
+ //--------------------------------- T0F signal ----------------------------------//
+
+ TH1F*hTime=(TH1F*)postfile->Get("hTOFmatchedESDtime");
+ if ((hTime)&&(hTime->GetEntries()>0)) {
+ avTime=hTime->GetMean();
+ hTime->Fit("landau","","",0.,50.);
+ peakTime=(hTime->GetFunction("landau"))->GetParameter(1);
+ spreadTime=(hTime->GetFunction("landau"))->GetParameter(2);
+ peakTimeErr=(hTime->GetFunction("landau"))->GetParError(1);
+ spreadTimeErr=(hTime->GetFunction("landau"))->GetParError(2);
+
+ negTimeRatio=((Double_t)hTime->Integral(1,3)*100.)/((Double_t)hTime->Integral());
+ printf("Main peak time (landau): mean = %f +- %f\n",peakTime,peakTimeErr );
+ printf("Main peak time (landau): spread = %f +- %f\n",spreadTime,spreadTimeErr );
+ printf("Ratio of tracks with time<12.5 ns / total = %f\n",negTimeRatio );
+
+ //add integral of main peak over total
+ }
+ printf("---------------------------------------------------------------- \n");
+ TH1F * hRawTime = (TH1F*)postfile->Get("hTOFmatchedESDrawTime");
+ if ((hRawTime)&&(hRawTime->GetEntries()>0)){
+ avRawTime=hRawTime->GetMean();
+ if (!isMC){
+ hRawTime->Fit("landau","","",200.,250.);
+ peakRawTime=(hRawTime->GetFunction("landau"))->GetParameter(1);
+ spreadRawTime=(hRawTime->GetFunction("landau"))->GetParameter(2);
+ peakRawTimeErr=(hRawTime->GetFunction("landau"))->GetParError(1);
+ spreadRawTimeErr=(hRawTime->GetFunction("landau"))->GetParError(2);
+ printf("Main peak raw time (landau): mean = %f +- %f\n",peakTime,peakTimeErr );
+ printf("Main peak raw time (landau): spread = %f +- %f\n",spreadRawTime,spreadRawTimeErr );
+ } else {
+ printf("Reminder: Raw time not available in MC simulated data.");
+ }
+ }
+
+ printf("---------------------------------------------------------------- \n");
+
+ TH1F * hTot = (TH1F*)postfile->Get("hTOFmatchedESDToT");
+ if ((hTot)&&(hTot->GetEntries()>0)){
+ avTot=hTot->GetMean();
+ hTot->Fit("gaus","","",0.,50.);
+ peakTot=(hTot->GetFunction("gaus"))->GetParameter(1);
+ spreadTot=(hTot->GetFunction("gaus"))->GetParameter(2);
+ peakTotErr=(hTot->GetFunction("gaus"))->GetParError(1);
+ spreadTotErr=(hTot->GetFunction("gaus"))->GetParError(2);
+ printf("Main peak ToT (gaus): mean = %f +- %f\n",peakTot,peakTotErr );
+ printf("Main peak ToT (gaus): spread = %f +- %f\n",spreadTot,spreadTotErr );
+ }
+ printf("---------------------------------------------------------------- \n");
+ TH1F * hOrphansRatio=(TH1F*)postfile->Get("hOrphansRatio");
+ if (hOrphansRatio)
+ orphansRatio=hOrphansRatio->GetMean();
+
+ TH1F * hL=(TH1F*)postfile->Get("hTOFmatchedESDtrkLength");
+ if (hL)
+ avL=hL->GetMean();
+
+ TH1F *hLnegRatio =(TH1F*)postfile->Get("hLnegRatio");
+ if (hLnegRatio)
+ negLratio=hLnegRatio->GetMean();
+
+ //--------------------------------- matching eff ----------------------------------//
+
+ //Double_t linFitEff1Param[3]={0.,0.,0.};
+ TH1F *hMatchingVsPt =(TH1F*)postfile->Get("hTOFmatchedESDPt");
+ if (hMatchingVsPt) {
+ if (hMatchingVsPt->GetEntries()>0){
+ hMatchingVsPt->Fit("pol0","","",1.0,5.);
+ hMatchingVsPt->Draw();
+ if (hMatchingVsPt->GetFunction("pol0")){
+ matchEffLinFit1Gev=(hMatchingVsPt->GetFunction("pol0"))->GetParameter(0);
+ matchEffLinFit1GevErr=(hMatchingVsPt->GetFunction("pol0"))->GetParError(0);
+ printf("Matching efficiency fit param is %f +- %f\n",matchEffLinFit1Gev,matchEffLinFit1GevErr );
+ }
+ } else {
+ printf("WARNING: matching efficiency plot has 0 entries. Skipped!\n");
+ }
+ } else {
+ printf("WARNING: cannot retrieve matching efficiency plot\n");
+ }
+
+ //--------------------------------- t-texp ----------------------------------//
+
+ TH1F*hPiDiffTime=(TH1F*)postfile->Get("hTOFmatchedExpTimePi");
+ if ((hPiDiffTime)&&(hPiDiffTime->GetEntries()>0)) {
+ avPiDiffTime=hPiDiffTime->GetMean();
+ hPiDiffTime->Fit("gaus","","",-1000.,500.);
+ if (hPiDiffTime->GetFunction("gaus")){
+ peakPiDiffTime=(hPiDiffTime->GetFunction("gaus"))->GetParameter(1);
+ spreadPiDiffTime=(hPiDiffTime->GetFunction("gaus"))->GetParameter(2);
+ peakPiDiffTimeErr=(hPiDiffTime->GetFunction("gaus"))->GetParError(1);
+ spreadPiDiffTimeErr=(hPiDiffTime->GetFunction("gaus"))->GetParError(2);
+ printf("Main peak t-t_exp (gaus): mean = %f +- %f\n",peakPiDiffTime,peakPiDiffTimeErr );
+ printf("Main peak t-t_exp (gaus): spread = %f +- %f\n",spreadPiDiffTime,spreadPiDiffTimeErr );
+ }
+ }
+ //--------------------------------- T0 detector ----------------------------------//
+
+ TH1F*hT0A=(TH1F*)postfile->Get("hEventT0DetA");
+ if ((hT0A)&&(hT0A->GetEntries()>0)) {
+ avhT0A=hT0A->GetMean();
+ hT0A->Fit("gaus");
+ peakT0A=(hT0A->GetFunction("gaus"))->GetParameter(1);
+ spreadT0A=(hT0A->GetFunction("gaus"))->GetParameter(2);
+ peakT0AErr=(hT0A->GetFunction("gaus"))->GetParError(1);
+ spreadT0AErr=(hT0A->GetFunction("gaus"))->GetParError(2);
+ printf("Main peak T0A(gaus): mean = %f +- %f\n",peakT0A,peakT0AErr );
+ printf("Main peak T0A (gaus): spread = %f +- %f\n",spreadT0A,spreadT0AErr );
+ //add integral of main peak over total
+ }
+
+ TH1F*hT0C=(TH1F*)postfile->Get("hEventT0DetC");
+ if ((hT0C)&&(hT0C->GetEntries()>0)) {
+ avhT0C=hT0C->GetMean();
+ hT0C->Fit("gaus");
+ peakT0C=(hT0C->GetFunction("gaus"))->GetParameter(1);
+ spreadT0C=(hT0C->GetFunction("gaus"))->GetParameter(2);
+ peakT0CErr=(hT0C->GetFunction("gaus"))->GetParError(1);
+ spreadT0CErr=(hT0C->GetFunction("gaus"))->GetParError(2);
+ printf("Main peak T0C(gaus): mean = %f +- %f\n",peakT0C,peakT0CErr );
+ printf("Main peak T0C (gaus): spread = %f +- %f\n",spreadT0C,spreadT0CErr );
+ //add integral of main peak over total
+ }
+
+ TH1F*hT0AC=(TH1F*)postfile->Get("hEventT0DetAND");
+ if ((hT0AC)&&(hT0AC->GetEntries()>0)) {
+ avhT0AC=hT0AC->GetMean();
+ hT0AC->Fit("gaus");
+ peakT0AC=(hT0AC->GetFunction("gaus"))->GetParameter(1);
+ spreadT0AC=(hT0AC->GetFunction("gaus"))->GetParameter(2);
+ peakT0ACErr=(hT0AC->GetFunction("gaus"))->GetParError(1);
+ spreadT0ACErr=(hT0AC->GetFunction("gaus"))->GetParError(2);
+ printf("Main peak T0AC(gaus): mean = %f +- %f\n",peakT0AC,peakT0ACErr );
+ printf("Main peak T0AC (gaus): spread = %f +- %f\n",spreadT0AC,spreadT0ACErr );
+ }
+
+ TH1F*hT0res=(TH1F*)postfile->Get("hT0DetRes");
+ if ((hT0res)&&(hT0res->GetEntries()>0)) {
+ avhT0res=hT0res->GetMean();
+ hT0res->Fit("gaus");
+ peakT0res=(hT0res->GetFunction("gaus"))->GetParameter(1);
+ spreadT0res=(hT0res->GetFunction("gaus"))->GetParameter(2);
+ peakT0resErr=(hT0res->GetFunction("gaus"))->GetParError(1);
+ spreadT0resErr=(hT0res->GetFunction("gaus"))->GetParError(2);
+ printf("Main peak T0res(gaus): mean = %f +- %f\n",peakT0res,peakT0resErr );
+ printf("Main peak T0res (gaus): spread = %f +- %f\n",spreadT0res,spreadT0resErr );
+ //add integral of main peak over total
+ }
+
+ TH1F*hT0fillRes=(TH1F*)postfile->Get("hT0fillRes");
+ if ((hT0fillRes)&&(hT0fillRes->GetEntries()>0)) {
+ avT0fillRes=hT0fillRes->GetMean();
+ }
+
+ ttree->Fill();
+ printf("============== Saving trending quantities in tree for run %i ===============\n",runNumber);
+ if (postfile->IsOpen()) {
+ printf("Trying to close\n");
+ postfile->Close();
+ }
+
+ trendFile->cd();
+ ttree->Write();
+ trendFile->Close();
+ return 0;
+}
+
//------------------------------------------------------------------------------------
-Int_t RunESDQApostAnalysis(char *qafilename=NULL, Int_t runNumber=-1, Bool_t IsOnGrid=kFALSE, Bool_t canvasE=kFALSE) {
+Int_t RunESDQApostAnalysis(char *qafilename=NULL, Int_t runNumber=-1, Bool_t isMC=kFALSE, Bool_t IsOnGrid=kFALSE, Bool_t canvasE=kFALSE) {
Bool_t debug=kFALSE;
- /*access qa PWG1 output files - saved locally or on grid as specified by the second argument */
+ /*access qa PWGPP output files - saved locally or on grid as specified by the second argument */
char defaultQAoutput[30]="QAresults.root";
if (IsOnGrid) TGrid::Connect("alien://");
hTime->Rebin(2);
hTime->GetYaxis()->SetTitle("matched tracks");
hTime->GetYaxis()->SetTitleOffset(1.35);
-
+
TH1F * hRawTime = (TH1F*) generalList->At(2);
hRawTime->SetMarkerStyle(21);
hRawTime->SetMarkerSize(0.7);
TH2F * hDiffTimePi=(TH2F*)pidList->At(4);
hDiffTimePi->GetYaxis()->SetRangeUser(-2000.,2000.);
- //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
+ hDiffTimePi->SetTitle("PIONS t-t_{exp,#pi} (from tracking) vs. P");
+ //hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
sprintf(profilename,"profDiffTimePi");
TProfile * profDiffTimePi = (TProfile*)hDiffTimePi->ProfileX(profilename, 490, 510);
TH2F * hDiffTimeKa=(TH2F*)pidList->At(9);
//hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
+ hDiffTimeKa->SetTitle("KAONS t-t_{exp,K} (from tracking) vs. P");
sprintf(profilename,"profDiffTimeKa");
hDiffTimeKa->GetYaxis()->SetRangeUser(-2000.,2000.);
TH2F * hDiffTimePro=(TH2F*)pidList->At(14);
//hDiffTime->GetYaxis()->Rebin(2);//1 bin=10 ps
sprintf(profilename,"profDiffTimePro");
+ hDiffTimePro->SetTitle("PROTONS t-t_{exp,p} (from tracking) vs. P");
hDiffTimePro->GetYaxis()->SetRangeUser(-2000.,2000.);
TProfile * profDiffTimePro = (TProfile*)hDiffTimePro->ProfileX(profilename, 490, 510);
profDiffTimePro->SetLineWidth(2);
TH1F * hKaonDiff=(TH1F*)pidList->FindObject("hTOFmatchedExpTimeKa");
TH1F * hProtonDiff=(TH1F*)pidList->FindObject("hTOFmatchedExpTimePro");
-
+ TH2F * hDiffTimeT0TOFPion1GeV=(TH2F*)pidList->FindObject("hTOFmatchedTimePion1GeV");
+
fout->cd();
hPionDiff->Write();
hKaonDiff->Write();
hProtonDiff->Write();
-
hBetaP->Write();
hMass->Write();
+ hDiffTimeT0TOFPion1GeV->Write();
hDiffTimePi->Write();
profDiffTimePi->Write();
hDiffTimeKa->Write();
hSigmaPro->Write();
profSigmaPro->Write();
+ TH2F* hTOFmatchedDzVsStrip = (TH2F*)generalList->FindObject("hTOFmatchedDzVsStrip");
+
if (canvasE){
- TH2F* hTOFmatchedDzVsStrip = (TH2F*)generalList->FindObject("hTOFmatchedDzVsStrip");
TCanvas* cProfile = new TCanvas("cProfile","cProfile",50,50,750,550);
gStyle->SetOptStat(0);
hTOFmatchedDzVsStrip->Draw("colz");
gSystem->Exec(Form("mkdir %s",plotDir.Data()));
cPidPerformance3->Print(Form("%s/PID_sigmas.png",plotDir.Data()));
cPidPerformance->Print(Form("%s/PID.png",plotDir.Data()));
- cPidPerformanceTh->Print(Form("%s/PID_thereticalTimes.png",plotDir.Data()));
+ cPidPerformanceTh->Print(Form("%s/PID_theoreticalTimes.png",plotDir.Data()));
cPidPerformance2->Print(Form("%s/PID_ExpTimes.png",plotDir.Data()));
cMatchingPerformance->Print(Form("%s/Matching.png",plotDir.Data()));
cT0detector->Print(Form("%s/T0Detector.png",plotDir.Data()));
residuals->Print(Form("%s/Residuals.png",plotDir.Data()));
cProfile->Print(Form("%s/ProfileDZvsStripNumber.png",plotDir.Data()));
}
-
+ fout->cd();
+ hTOFmatchedDzVsStrip->Write();
+ fout->Close();
+ fin->Close();
return 0;
}
}
-
+//----------------------------------------------------------
+Double_t GetGoodTOFChannelsRatio(Int_t run, Bool_t saveMap = kFALSE)
+{
+ /*
+ It retrieves from OCDB the number of good (= efficient && not noisy && HW ok) TOF channels.
+ Optionally is saves the channel map
+ */
+ if (run<=0) {
+ printf("MakeTrendingTOFqa.C - ERROR in CheckCalibStatus(): invalid run number. Please set a run number.\n");
+ return 0.0;
+ }
+
+ AliCDBManager *cdb = AliCDBManager::Instance();
+ cdb->SetDefaultStorage("raw://");
+ cdb->SetRun(run);
+
+ AliCDBEntry *cdbe = cdb->Get("TOF/Calib/Status");
+ if (!cdbe) {
+ printf("MakeTrendingTOFqa.C - ERROR in CheckCalibStatus(): OCDB entry not available. Please, try again.\n");
+ return 0.0;
+ }
+
+ AliTOFChannelOnlineStatusArray *array = (AliTOFChannelOnlineStatusArray *)cdbe->GetObject();
+ TH2F *hOkMap = new TH2F("hOkMap", "Ok map (!noisy & !problematic & efficient);sector;strip", 72, 0., 18., 91, 0., 91.);
+
+ AliTOFcalibHisto calibHisto;
+ calibHisto.LoadCalibHisto();
+ AliTOFcalib calib;
+ calib.Init();
+ Int_t sector, sectorStrip, padx, fea;
+ Float_t hitmapx, hitmapy;
+ for (Int_t i = 0; i < array->GetSize(); i++) {
+ sector = calibHisto.GetCalibMap(AliTOFcalibHisto::kSector, i);
+ sectorStrip = calibHisto.GetCalibMap(AliTOFcalibHisto::kSectorStrip, i);
+ padx = calibHisto.GetCalibMap(AliTOFcalibHisto::kPadX, i);
+ fea = padx / 12;
+ hitmapx = sector + ((Double_t)(3 - fea) + 0.5) / 4.;
+ hitmapy = sectorStrip;
+ if ( !(array->GetNoiseStatus(i) == AliTOFChannelOnlineStatusArray::kTOFNoiseBad) &&
+ (calib.IsChannelEnabled(i,kTRUE,kTRUE)))
+ hOkMap->Fill(hitmapx,hitmapy);
+ }
+ Int_t nOk=(Int_t) hOkMap->GetEntries();
+ Double_t ratioOk=nOk/152928.;
+ if (saveMap) hOkMap->SaveAs(Form("run%i_OKChannelsMap.root",run));
+ cout << "### Run " << run << ": TOF channels ok = " << nOk << "/ total 152928 channels = " << ratioOk*100. << "% of whole TOF" << endl;
+ return ratioOk;
+}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff