Bool_t CheckESD(const char* gAliceFileName = "galice.root", const char* esdFileName = "AliESDs.root") { // check the content of the ESD // check values Int_t checkNGenLow = 1; Double_t checkEffLow = 0.5; Double_t checkEffSigma = 3; Double_t checkFakeHigh = 0.5; Double_t checkFakeSigma = 3; Double_t checkResPtInvHigh = 5; Double_t checkResPtInvSigma = 3; Double_t checkResPhiHigh = 10; Double_t checkResPhiSigma = 3; Double_t checkResThetaHigh = 10; Double_t checkResThetaSigma = 3; Double_t checkPIDEffLow = 0.5; Double_t checkPIDEffSigma = 3; Double_t checkResTOFHigh = 500; Double_t checkResTOFSigma = 3; Double_t checkPHOSNLow = 5; Double_t checkPHOSEnergyLow = 0.3; Double_t checkPHOSEnergyHigh = 1.0; Double_t checkEMCALNLow = 50; Double_t checkEMCALEnergyLow = 0.05; Double_t checkEMCALEnergyHigh = 1.0; Double_t checkMUONNLow = 1; Double_t checkMUONPtLow = 0.5; Double_t checkMUONPtHigh = 10.; Double_t cutPtV0 = 0.3; Double_t checkV0EffLow = 0.02; Double_t checkV0EffSigma = 3; Double_t cutPtCascade = 0.5; Double_t checkCascadeEffLow = 0.01; Double_t checkCascadeEffSigma = 3; // open run loader and load gAlice, kinematics and header AliRunLoader* runLoader = AliRunLoader::Open(gAliceFileName); if (!runLoader) { Error("CheckESD", "getting run loader from file %s failed", gAliceFileName); return kFALSE; } runLoader->LoadgAlice(); gAlice = runLoader->GetAliRun(); if (!gAlice) { Error("CheckESD", "no galice object found"); return kFALSE; } runLoader->LoadKinematics(); runLoader->LoadHeader(); // open the ESD file TFile* esdFile = TFile::Open(esdFileName); if (!esdFile || !esdFile->IsOpen()) { Error("CheckESD", "opening ESD file %s failed", esdFileName); return kFALSE; } AliESDEvent * esd = new AliESDEvent; TTree* tree = (TTree*) esdFile->Get("esdTree"); if (!tree) { Error("CheckESD", "no ESD tree found"); return kFALSE; } esd->ReadFromTree(tree); // efficiency and resolution histograms Int_t nBinsPt = 15; Float_t minPt = 0.1; Float_t maxPt = 3.1; TH1F* hGen = CreateHisto("hGen", "generated tracks", nBinsPt, minPt, maxPt, "p_{t} [GeV/c]", "N"); TH1F* hRec = CreateHisto("hRec", "reconstructed tracks", nBinsPt, minPt, maxPt, "p_{t} [GeV/c]", "N"); Int_t nGen = 0; Int_t nRec = 0; Int_t nFake = 0; TH1F* hResPtInv = CreateHisto("hResPtInv", "", 100, -10, 10, "(p_{t,rec}^{-1}-p_{t,sim}^{-1}) / p_{t,sim}^{-1} [%]", "N"); TH1F* hResPhi = CreateHisto("hResPhi", "", 100, -20, 20, "#phi_{rec}-#phi_{sim} [mrad]", "N"); TH1F* hResTheta = CreateHisto("hResTheta", "", 100, -20, 20, "#theta_{rec}-#theta_{sim} [mrad]", "N"); // PID Int_t partCode[AliPID::kSPECIES] = {kElectron, kMuonMinus, kPiPlus, kKPlus, kProton}; const char* partName[AliPID::kSPECIES+1] = {"electron", "muon", "pion", "kaon", "proton", "other"}; Double_t partFrac[AliPID::kSPECIES] = {0.01, 0.01, 0.85, 0.10, 0.05}; Int_t identified[AliPID::kSPECIES+1][AliPID::kSPECIES]; for (Int_t iGen = 0; iGen < AliPID::kSPECIES+1; iGen++) { for (Int_t iRec = 0; iRec < AliPID::kSPECIES; iRec++) { identified[iGen][iRec] = 0; } } Int_t nIdentified = 0; // dE/dx and TOF TH2F* hDEdxRight = new TH2F("hDEdxRight", "", 300, 0, 3, 100, 0, 400); hDEdxRight->SetStats(kFALSE); hDEdxRight->GetXaxis()->SetTitle("p [GeV/c]"); hDEdxRight->GetYaxis()->SetTitle("dE/dx_{TPC}"); hDEdxRight->SetMarkerStyle(kFullCircle); hDEdxRight->SetMarkerSize(0.4); TH2F* hDEdxWrong = new TH2F("hDEdxWrong", "", 300, 0, 3, 100, 0, 400); hDEdxWrong->SetStats(kFALSE); hDEdxWrong->GetXaxis()->SetTitle("p [GeV/c]"); hDEdxWrong->GetYaxis()->SetTitle("dE/dx_{TPC}"); hDEdxWrong->SetMarkerStyle(kFullCircle); hDEdxWrong->SetMarkerSize(0.4); hDEdxWrong->SetMarkerColor(kRed); TH1F* hResTOFRight = CreateHisto("hResTOFRight", "", 100, -1000, 1000, "t_{TOF}-t_{track} [ps]", "N"); TH1F* hResTOFWrong = CreateHisto("hResTOFWrong", "", 100, -1000, 1000, "t_{TOF}-t_{track} [ps]", "N"); hResTOFWrong->SetLineColor(kRed); // calorimeters TH1F* hEPHOS = CreateHisto("hEPHOS", "PHOS", 100, 0, 50, "E [GeV]", "N"); TH1F* hEEMCAL = CreateHisto("hEEMCAL", "EMCAL", 100, 0, 50, "E [GeV]", "N"); // muons TH1F* hPtMUON = CreateHisto("hPtMUON", "MUON", 100, 0, 20, "p_{t} [GeV/c]", "N"); // V0s and cascades TH1F* hMassK0 = CreateHisto("hMassK0", "K^{0}", 100, 0.4, 0.6, "M(#pi^{+}#pi^{-}) [GeV/c^{2}]", "N"); TH1F* hMassLambda = CreateHisto("hMassLambda", "#Lambda", 100, 1.0, 1.2, "M(p#pi^{-}) [GeV/c^{2}]", "N"); TH1F* hMassLambdaBar = CreateHisto("hMassLambdaBar", "#bar{#Lambda}", 100, 1.0, 1.2, "M(#bar{p}#pi^{+}) [GeV/c^{2}]", "N"); Int_t nGenV0s = 0; Int_t nRecV0s = 0; TH1F* hMassXi = CreateHisto("hMassXi", "#Xi", 100, 1.2, 1.5, "M(#Lambda#pi) [GeV/c^{2}]", "N"); TH1F* hMassOmega = CreateHisto("hMassOmega", "#Omega", 100, 1.5, 1.8, "M(#LambdaK) [GeV/c^{2}]", "N"); Int_t nGenCascades = 0; Int_t nRecCascades = 0; // loop over events for (Int_t iEvent = 0; iEvent < runLoader->GetNumberOfEvents(); iEvent++) { runLoader->GetEvent(iEvent); // select simulated primary particles, V0s and cascades AliStack* stack = runLoader->Stack(); Int_t nParticles = stack->GetNtrack(); TArrayF vertex(3); runLoader->GetHeader()->GenEventHeader()->PrimaryVertex(vertex); TObjArray selParticles; TObjArray selV0s; TObjArray selCascades; for (Int_t iParticle = 0; iParticle < nParticles; iParticle++) { TParticle* particle = stack->Particle(iParticle); if (!particle) continue; if (particle->Pt() < 0.001) continue; if (TMath::Abs(particle->Eta()) > 0.9) continue; TVector3 dVertex(particle->Vx() - vertex[0], particle->Vy() - vertex[1], particle->Vz() - vertex[2]); if (dVertex.Mag() > 0.0001) continue; switch (TMath::Abs(particle->GetPdgCode())) { case kElectron: case kMuonMinus: case kPiPlus: case kKPlus: case kProton: { if (particle->Pt() > minPt) { selParticles.Add(particle); nGen++; hGen->Fill(particle->Pt()); } break; } case kK0Short: case kLambda0: { if (particle->Pt() > cutPtV0) { nGenV0s++; selV0s.Add(particle); } break; } case kXiMinus: case kOmegaMinus: { if (particle->Pt() > cutPtCascade) { nGenCascades++; selCascades.Add(particle); } break; } default: break; } } // get the event summary data tree->GetEvent(iEvent); if (!esd) { Error("CheckESD", "no ESD object found for event %d", iEvent); return kFALSE; } // loop over tracks for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { AliESDtrack* track = esd->GetTrack(iTrack); // select tracks of selected particles Int_t label = TMath::Abs(track->GetLabel()); if (label > stack->GetNtrack()) continue; // background TParticle* particle = stack->Particle(label); if (!selParticles.Contains(particle)) continue; if ((track->GetStatus() & AliESDtrack::kITSrefit) == 0) continue; if (track->GetConstrainedChi2() > 1e9) continue; selParticles.Remove(particle); // don't count multiple tracks nRec++; hRec->Fill(particle->Pt()); if (track->GetLabel() < 0) nFake++; // resolutions hResPtInv->Fill(100. * (TMath::Abs(track->GetSigned1Pt()) - 1./particle->Pt()) * particle->Pt()); hResPhi->Fill(1000. * (track->Phi() - particle->Phi())); hResTheta->Fill(1000. * (track->Theta() - particle->Theta())); // PID if ((track->GetStatus() & AliESDtrack::kESDpid) == 0) continue; Int_t iGen = 5; for (Int_t i = 0; i < AliPID::kSPECIES; i++) { if (TMath::Abs(particle->GetPdgCode()) == partCode[i]) iGen = i; } Double_t probability[AliPID::kSPECIES]; track->GetESDpid(probability); Double_t pMax = 0; Int_t iRec = 0; for (Int_t i = 0; i < AliPID::kSPECIES; i++) { probability[i] *= partFrac[i]; if (probability[i] > pMax) { pMax = probability[i]; iRec = i; } } identified[iGen][iRec]++; if (iGen == iRec) nIdentified++; // dE/dx and TOF Double_t time[AliPID::kSPECIES]; track->GetIntegratedTimes(time); if (iGen == iRec) { hDEdxRight->Fill(particle->P(), track->GetTPCsignal()); if ((track->GetStatus() & AliESDtrack::kTOFpid) != 0) { hResTOFRight->Fill(track->GetTOFsignal() - time[iRec]); } } else { hDEdxWrong->Fill(particle->P(), track->GetTPCsignal()); if ((track->GetStatus() & AliESDtrack::kTOFpid) != 0) { hResTOFWrong->Fill(track->GetTOFsignal() - time[iRec]); } } } // loop over muon tracks { for (Int_t iTrack = 0; iTrack < esd->GetNumberOfMuonTracks(); iTrack++) { AliESDMuonTrack* muonTrack = esd->GetMuonTrack(iTrack); Double_t ptInv = TMath::Abs(muonTrack->GetInverseBendingMomentum()); if (ptInv > 0.001) { hPtMUON->Fill(1./ptInv); } } } // loop over V0s for (Int_t iV0 = 0; iV0 < esd->GetNumberOfV0s(); iV0++) { AliESDv0* v0 = esd->GetV0(iV0); if (v0->GetOnFlyStatus()) continue; v0->ChangeMassHypothesis(kK0Short); hMassK0->Fill(v0->GetEffMass()); v0->ChangeMassHypothesis(kLambda0); hMassLambda->Fill(v0->GetEffMass()); v0->ChangeMassHypothesis(kLambda0Bar); hMassLambdaBar->Fill(v0->GetEffMass()); Int_t negLabel = TMath::Abs(esd->GetTrack(v0->GetNindex())->GetLabel()); if (negLabel > stack->GetNtrack()) continue; // background Int_t negMother = stack->Particle(negLabel)->GetMother(0); if (negMother < 0) continue; Int_t posLabel = TMath::Abs(esd->GetTrack(v0->GetPindex())->GetLabel()); if (posLabel > stack->GetNtrack()) continue; // background Int_t posMother = stack->Particle(posLabel)->GetMother(0); if (negMother != posMother) continue; TParticle* particle = stack->Particle(negMother); if (!selV0s.Contains(particle)) continue; selV0s.Remove(particle); nRecV0s++; } // loop over Cascades for (Int_t iCascade = 0; iCascade < esd->GetNumberOfCascades(); iCascade++) { AliESDcascade* cascade = esd->GetCascade(iCascade); Double_t v0q; cascade->ChangeMassHypothesis(v0q,kXiMinus); hMassXi->Fill(cascade->GetEffMassXi()); cascade->ChangeMassHypothesis(v0q,kOmegaMinus); hMassOmega->Fill(cascade->GetEffMassXi()); Int_t negLabel = TMath::Abs(esd->GetTrack(cascade->GetNindex()) ->GetLabel()); if (negLabel > stack->GetNtrack()) continue; // background Int_t negMother = stack->Particle(negLabel)->GetMother(0); if (negMother < 0) continue; Int_t posLabel = TMath::Abs(esd->GetTrack(cascade->GetPindex()) ->GetLabel()); if (posLabel > stack->GetNtrack()) continue; // background Int_t posMother = stack->Particle(posLabel)->GetMother(0); if (negMother != posMother) continue; Int_t v0Mother = stack->Particle(negMother)->GetMother(0); if (v0Mother < 0) continue; Int_t bacLabel = TMath::Abs(esd->GetTrack(cascade->GetBindex()) ->GetLabel()); if (bacLabel > stack->GetNtrack()) continue; // background Int_t bacMother = stack->Particle(bacLabel)->GetMother(0); if (v0Mother != bacMother) continue; TParticle* particle = stack->Particle(v0Mother); if (!selCascades.Contains(particle)) continue; selCascades.Remove(particle); nRecCascades++; } // loop over the clusters { for (Int_t iCluster=0; iCluster<esd->GetNumberOfCaloClusters(); iCluster++) { AliESDCaloCluster * clust = esd->GetCaloCluster(iCluster); if (clust->IsPHOS()) hEPHOS->Fill(clust->E()); if (clust->IsEMCAL()) hEEMCAL->Fill(clust->E()); } } } // perform checks if (nGen < checkNGenLow) { Warning("CheckESD", "low number of generated particles: %d", Int_t(nGen)); } TH1F* hEff = CreateEffHisto(hGen, hRec); Info("CheckESD", "%d out of %d tracks reconstructed including %d " "fake tracks", nRec, nGen, nFake); if (nGen > 0) { // efficiency Double_t eff = nRec*1./nGen; Double_t effError = TMath::Sqrt(eff*(1.-eff) / nGen); Double_t fake = nFake*1./nGen; Double_t fakeError = TMath::Sqrt(fake*(1.-fake) / nGen); Info("CheckESD", "eff = (%.1f +- %.1f) %% fake = (%.1f +- %.1f) %%", 100.*eff, 100.*effError, 100.*fake, 100.*fakeError); if (eff < checkEffLow - checkEffSigma*effError) { Warning("CheckESD", "low efficiency: (%.1f +- %.1f) %%", 100.*eff, 100.*effError); } if (fake > checkFakeHigh + checkFakeSigma*fakeError) { Warning("CheckESD", "high fake: (%.1f +- %.1f) %%", 100.*fake, 100.*fakeError); } // resolutions Double_t res, resError; if (FitHisto(hResPtInv, res, resError)) { Info("CheckESD", "relative inverse pt resolution = (%.1f +- %.1f) %%", res, resError); if (res > checkResPtInvHigh + checkResPtInvSigma*resError) { Warning("CheckESD", "bad pt resolution: (%.1f +- %.1f) %%", res, resError); } } if (FitHisto(hResPhi, res, resError)) { Info("CheckESD", "phi resolution = (%.1f +- %.1f) mrad", res, resError); if (res > checkResPhiHigh + checkResPhiSigma*resError) { Warning("CheckESD", "bad phi resolution: (%.1f +- %.1f) mrad", res, resError); } } if (FitHisto(hResTheta, res, resError)) { Info("CheckESD", "theta resolution = (%.1f +- %.1f) mrad", res, resError); if (res > checkResThetaHigh + checkResThetaSigma*resError) { Warning("CheckESD", "bad theta resolution: (%.1f +- %.1f) mrad", res, resError); } } // PID if (nRec > 0) { Double_t eff = nIdentified*1./nRec; Double_t effError = TMath::Sqrt(eff*(1.-eff) / nRec); Info("CheckESD", "PID eff = (%.1f +- %.1f) %%", 100.*eff, 100.*effError); if (eff < checkPIDEffLow - checkPIDEffSigma*effError) { Warning("CheckESD", "low PID efficiency: (%.1f +- %.1f) %%", 100.*eff, 100.*effError); } } printf("%9s:", "gen\\rec"); for (Int_t iRec = 0; iRec < AliPID::kSPECIES; iRec++) { printf("%9s", partName[iRec]); } printf("\n"); for (Int_t iGen = 0; iGen < AliPID::kSPECIES+1; iGen++) { printf("%9s:", partName[iGen]); for (Int_t iRec = 0; iRec < AliPID::kSPECIES; iRec++) { printf("%9d", identified[iGen][iRec]); } printf("\n"); } if (FitHisto(hResTOFRight, res, resError)) { Info("CheckESD", "TOF resolution = (%.1f +- %.1f) ps", res, resError); if (res > checkResTOFHigh + checkResTOFSigma*resError) { Warning("CheckESD", "bad TOF resolution: (%.1f +- %.1f) ps", res, resError); } } // calorimeters if (hEPHOS->Integral() < checkPHOSNLow) { Warning("CheckESD", "low number of PHOS particles: %d", Int_t(hEPHOS->Integral())); } else { Double_t mean = hEPHOS->GetMean(); if (mean < checkPHOSEnergyLow) { Warning("CheckESD", "low mean PHOS energy: %.1f GeV", mean); } else if (mean > checkPHOSEnergyHigh) { Warning("CheckESD", "high mean PHOS energy: %.1f GeV", mean); } } if (hEEMCAL->Integral() < checkEMCALNLow) { Warning("CheckESD", "low number of EMCAL particles: %d", Int_t(hEEMCAL->Integral())); } else { Double_t mean = hEEMCAL->GetMean(); if (mean < checkEMCALEnergyLow) { Warning("CheckESD", "low mean EMCAL energy: %.1f GeV", mean); } else if (mean > checkEMCALEnergyHigh) { Warning("CheckESD", "high mean EMCAL energy: %.1f GeV", mean); } } // muons if (hPtMUON->Integral() < checkMUONNLow) { Warning("CheckESD", "low number of MUON particles: %d", Int_t(hPtMUON->Integral())); } else { Double_t mean = hPtMUON->GetMean(); if (mean < checkMUONPtLow) { Warning("CheckESD", "low mean MUON pt: %.1f GeV/c", mean); } else if (mean > checkMUONPtHigh) { Warning("CheckESD", "high mean MUON pt: %.1f GeV/c", mean); } } // V0s if (nGenV0s > 0) { Double_t eff = nRecV0s*1./nGenV0s; Double_t effError = TMath::Sqrt(eff*(1.-eff) / nGenV0s); if (effError == 0) effError = checkV0EffLow / TMath::Sqrt(1.*nGenV0s); Info("CheckESD", "V0 eff = (%.1f +- %.1f) %%", 100.*eff, 100.*effError); if (eff < checkV0EffLow - checkV0EffSigma*effError) { Warning("CheckESD", "low V0 efficiency: (%.1f +- %.1f) %%", 100.*eff, 100.*effError); } } // Cascades if (nGenCascades > 0) { Double_t eff = nRecCascades*1./nGenCascades; Double_t effError = TMath::Sqrt(eff*(1.-eff) / nGenCascades); if (effError == 0) effError = checkV0EffLow / TMath::Sqrt(1.*nGenCascades); Info("CheckESD", "Cascade eff = (%.1f +- %.1f) %%", 100.*eff, 100.*effError); if (eff < checkCascadeEffLow - checkCascadeEffSigma*effError) { Warning("CheckESD", "low Cascade efficiency: (%.1f +- %.1f) %%", 100.*eff, 100.*effError); } } } // draw the histograms if not in batch mode if (!gROOT->IsBatch()) { new TCanvas; hEff->DrawCopy(); new TCanvas; hResPtInv->DrawCopy("E"); new TCanvas; hResPhi->DrawCopy("E"); new TCanvas; hResTheta->DrawCopy("E"); new TCanvas; hDEdxRight->DrawCopy(); hDEdxWrong->DrawCopy("SAME"); new TCanvas; hResTOFRight->DrawCopy("E"); hResTOFWrong->DrawCopy("SAME"); new TCanvas; hEPHOS->DrawCopy("E"); new TCanvas; hEEMCAL->DrawCopy("E"); new TCanvas; hPtMUON->DrawCopy("E"); new TCanvas; hMassK0->DrawCopy("E"); new TCanvas; hMassLambda->DrawCopy("E"); new TCanvas; hMassLambdaBar->DrawCopy("E"); new TCanvas; hMassXi->DrawCopy("E"); new TCanvas; hMassOmega->DrawCopy("E"); } // write the output histograms to a file TFile* outputFile = TFile::Open("check.root", "recreate"); if (!outputFile || !outputFile->IsOpen()) { Error("CheckESD", "opening output file check.root failed"); return kFALSE; } hEff->Write(); hResPtInv->Write(); hResPhi->Write(); hResTheta->Write(); hDEdxRight->Write(); hDEdxWrong->Write(); hResTOFRight->Write(); hResTOFWrong->Write(); hEPHOS->Write(); hEEMCAL->Write(); hPtMUON->Write(); hMassK0->Write(); hMassLambda->Write(); hMassLambdaBar->Write(); hMassXi->Write(); hMassOmega->Write(); outputFile->Close(); delete outputFile; // clean up delete hGen; delete hRec; delete hEff; delete hResPtInv; delete hResPhi; delete hResTheta; delete hDEdxRight; delete hDEdxWrong; delete hResTOFRight; delete hResTOFWrong; delete hEPHOS; delete hEEMCAL; delete hPtMUON; delete hMassK0; delete hMassLambda; delete hMassLambdaBar; delete hMassXi; delete hMassOmega; delete esd; esdFile->Close(); delete esdFile; runLoader->UnloadHeader(); runLoader->UnloadKinematics(); delete runLoader; // result of check Info("CheckESD", "check of ESD was successfull"); return kTRUE; }
//______________________________________________________________________________ void CalibrateTreeTime(Int_t run) { // Main method. // // configuration // // CB //const Bool_t doFit = kTRUE; //const Char_t* treeName = "CaLib_CB_Time_Tree"; //const Int_t nPar = 720; //const Char_t* data_off = "Data.CB.T0"; //const Char_t* data_gain = 0; //const Char_t* calibration = "LH2_Dec_14"; //const Double_t time_limit = 0.1; //const Double_t bad_frac = 0.05; //gIsTAPS = kFALSE; // TAPS const Bool_t doFit = kTRUE; const Char_t* treeName = "CaLib_TAPS_Time_Tree"; const Int_t nPar = 438; const Char_t* data_off = "Data.TAPS.T0"; const Char_t* data_gain = "Data.TAPS.T1"; const Char_t* calibration = "LH2_Dec_14"; const Double_t time_limit = 0.1; const Double_t bad_frac = 0.05; gIsTAPS = kTRUE; // read TAPS config from config file gMaxTAPS = TCReadConfig::GetReader()->GetConfigInt("TAPS.Elements"); // read calibration parameters gOff = new Double_t[nPar]; gGain = new Double_t[nPar]; Int_t set = TCMySQLManager::GetManager()->GetSetForRun(data_off, calibration, run); printf("Reading set %d for run %d of data '%s' for calibration '%s'\n", set, run, data_off, calibration); TCMySQLManager::GetManager()->ReadParameters(data_off, calibration, set, gOff, nPar); if (data_gain) { TCMySQLManager::GetManager()->ReadParameters(data_gain, calibration, set, gGain, nPar); } else { for (Int_t i = 0; i < nPar; i++) gGain[i] = 0.11771; } // debug //for (Int_t i = 0; i < nPar; i++) // printf("%3d %f %f\n", i, gOff[i], gGain[i]); // open the file Int_t r[1] = { run }; TCARFileLoader file_loader(1, r); if (!file_loader.LoadFiles()) gSystem->Exit(1); TFile* f = file_loader.GetFiles()[0]; if (!f) gSystem->Exit(1); // load tree TTree* tree = (TTree*) f->Get(treeName); gEntries = tree->GetEntries(); // reserve memory gElem_1 = new Short_t[gEntries]; gElem_2 = new Short_t[gEntries]; gRaw_Time_1 = new Float_t[gEntries]; gRaw_Time_2 = new Float_t[gEntries]; // create tree reader TTreeReader reader(tree); // configure reader TTreeReaderValue<Short_t> elem_1(reader, "elem_1"); TTreeReaderValue<Short_t> elem_2(reader, "elem_2"); TTreeReaderValue<Float_t> raw_time_1(reader, "raw_time_1"); TTreeReaderValue<Float_t> raw_time_2(reader, "raw_time_2"); // read tree printf("Reading tree\n"); Long64_t n = 0; while (reader.Next()) { // user info if (n && n % 100000 == 0) printf("%lld events processed (%.1f%%)\n", n, 100*(Double_t)n/(Double_t)gEntries); // skip PWO if (gIsTAPS) { if (TCUtils::IsTAPSPWO(*elem_1, gMaxTAPS) || TCUtils::IsTAPSPWO(*elem_2, gMaxTAPS)) continue; } gElem_1[n] = *elem_1; gElem_2[n] = *elem_2; gRaw_Time_1[n] = *raw_time_1; gRaw_Time_2[n] = *raw_time_2; n++; } // update number of entries gEntries = n; // create histogram TH2* hBefore = CreateHisto("before", nPar, gOff); // perform calibration TStopwatch watch; watch.Start(); if (doFit) { printf("Calibrating using fitting\n"); CalibrateFit(nPar, time_limit, bad_frac); } else { printf("Calibrating using minimization\n"); CalibrateMinimize(nPar); } watch.Stop(); watch.Print(); // create histogram TH2* hAfter = CreateHisto("after", nPar, gOff); // save histograms TFile* fout = new TFile(TString::Format("tree_calib_%d.root", run).Data(), "recreate"); hBefore->Write(); hAfter->Write(); delete fout; // save parameters FILE* fout_a = fopen(TString::Format("tree_calib_%d.dat", run).Data(), "w"); for (Int_t i = 0; i < nPar; i++) fprintf(fout_a, "%lf\n", gOff[i]); fclose(fout_a); // clean-up //delete f; //delete tree; delete [] gOff; delete [] gGain; gSystem->Exit(0); }
int CreateComparisonPlots(ElectronEnergyScaleAdv_t &sf, const std::vector<std::vector<double>*> &massMC, const std::vector<std::vector<double>*> &massExp, std::vector<std::string> &html_lines, RooRealVar &mass, ScaledSmearedDataAux_t &aux, std::vector<RooAddPdf*> &mcModelV, std::vector<RooDataSet*> &expModelV, const std::vector<std::vector<int>*> &combine, const std::vector<TString> &combination_names) { int expect_count=sf.ExpectCount(); int massBinCount=DYTools::NumberOfMassBins(); double *massBins=DYTools::getMassBins(); std::vector<mithep::myHistoClass_t*> unsmearedMCHV,unscaledExpHV; std::vector<mithep::myHistoClass_t*> smearedMCHV,scaledExpHV; std::cout << "aux.fitModel=" << aux.fitModel << "\n"; std::cout << "calling sf.PrepareScaledSmearedData(0,0)" << std::endl; if (!sf.PrepareScaledSmearedData(massMC,massExp,massBinCount,massBins,unsmearedMCHV,unscaledExpHV,"NoSF",0,0)) { std::cout << "failed with unprocessed data collections\n"; return 0; } std::cout << "passed" << std::endl; if (0 && (sf.FitModelKind()==_ESFModel_gauss)) { html_lines.push_back("<br />Using per-event smearing<br>\n"); if (sf.FitModelKind()==_ESFModel_gauss) { if (!sf.PrepareScaledSmearedData(massMC,massExp,massBinCount,massBins,smearedMCHV,scaledExpHV,"SF",1,1)) { std::cout << "failed with basic data collections\n"; return 0; } } } else { html_lines.push_back("<br />Using template smearing<br>\n"); char buf[50]; mithep::myHistoClass_t *hbase=new mithep::myHistoClass_t("hbase","hbase",massBinCount,massBins); hbase->GetXaxis()->SetTitle("mass"); hbase->GetYaxis()->SetTitle("count"); hbase->GetYaxis()->SetTitleOffset(1.6); smearedMCHV.reserve(expect_count); scaledExpHV.reserve(expect_count); for (int i=0; i<expect_count; ++i) { if (i<10) sprintf(buf,"smearedMC_0%d",i); else sprintf(buf,"smearedMC_%d",i); mithep::myHistoClass_t *hmc=NULL; if (massMC[i]->size()>0) { hmc=CreateHisto(*mcModelV[i],buf,&mass,massBinCount,massBins,hbase); double scale=unsmearedMCHV[i]->Integral()/hmc->Integral(); hmc->Scale(scale); } else { std::cout << "ScanAndScale: data contains no points. Creating an empty histo for " << buf << "\n"; hmc=(mithep::myHistoClass_t*)hbase->Clone(buf); } smearedMCHV.push_back(hmc); } for (int i=0; i<expect_count; ++i) { if (i<10) sprintf(buf,"smearedExp_0%d",i); else sprintf(buf,"smearedExp_%d",i); mithep::myHistoClass_t *hexp=ConvertToHisto(*expModelV[i],buf,hbase); scaledExpHV.push_back(hexp); } delete hbase; } std::string file_tag="cmp"; const int print_discrepancy_table=0; const int print_descriptions_separately=0; if (!PrepareComparisonTablesAndPlots(file_tag.c_str(),unsmearedMCHV,unscaledExpHV,smearedMCHV,scaledExpHV, combine,combination_names, print_discrepancy_table, print_descriptions_separately, histoDir_USER.c_str(), html_lines)) { std::cout << "failed in PrepareComparisonTablesAndPlots\n"; return 0; } return 1; }
//______________________________________________________________________________ void CalibrateFit(Int_t nPar, Double_t time_limit, Double_t bad_frac) { // Calibrate using iterative fitting. const Double_t convergence_factor = 0.05; // iterate calibrations for (Int_t i = 0; i >= 0; i++) { // create new histogram TH2* h = CreateHisto("fit_histo", nPar, gOff); // user info printf("Calibration iteration %d\n", i+1); // loop over elements Int_t n = 0; Int_t outside_n = 0; for (Int_t j = 0; j < nPar; j++) { // create projection TH1* hProj = (TH1*) h->ProjectionX(TString::Format("Proj_%d", j).Data(), j+1, j+1, "e"); // check for filled histograms if (hProj->GetEntries()) { // create fitting function TF1* func = new TF1(TString::Format("Func_%d", j).Data(), "gaus", -5, 5); func->SetParameter(0, 1); func->SetParameter(1, hProj->GetXaxis()->GetBinCenter(hProj->GetMaximumBin())); func->SetParameter(2, 0.1); // fit histogram hProj->GetXaxis()->SetRangeUser(-5, 5); hProj->Fit(func, "0Q"); Double_t mean = func->GetParameter(1); // update offset gOff[j] = gOff[j] + convergence_factor * mean / gGain[j]; n++; if (TMath::Abs(mean) > time_limit) outside_n++; // clean-up delete func; } // clean-up delete hProj; } // clean-up delete h; // user info Double_t outside_frac = (Double_t)outside_n/(Double_t)n; printf("Element outside limits: %.1f%%\n", outside_frac*100.); if (outside_frac < bad_frac) break; } }