int main(int argc, char** argv) { // Set style options setTDRStyle(); gStyle->SetPadTickX(1); gStyle->SetPadTickY(1); gStyle->SetOptTitle(0); gStyle->SetOptStat(1110); gStyle->SetOptFit(1); float totDAevts = 0; float DAevtsHIHI = 0; // Set fitting options TVirtualFitter::SetDefaultFitter("Fumili2"); /// Fitting functions /////////////// vs R9 // TF1* R9_low_2011 = new TF1("R9_low_2011", "[0] + [1]*x + [2]*pow(x,2) + [3]*pow(x,3)", 0.7, 0.94); // R9_low_2011->SetParameters(1.04602750038440662e-01, -5.12399137504689572e-01, 7.26103911422236403e-01, -3.14041397400686317e-01); // TF1* R9_hig_2011 = new TF1("R9_hig_2011", "[0] + [1]*x + [2]*pow(x,2) ", 0.94, 1.02); // R9_hig_2011->SetParameters(-2.65392390285653734e+00, 5.32070916148806727e+00, -2.65288628795334347e+00); // TF1* R9_low_2012 = new TF1("R9_low_2012", "[0] + [1]*x + [2]*pow(x,2) + [3]*pow(x,3)", 0.7, 0.94); // R9_low_2012->SetParameters(6.53048217081556359e-01, -2.41796796111481704e+00, 2.90336305058258182e+00, -1.13417753246979647e+00); // // TF1* R9_low_2012 = new TF1("R9_low_2012", "[0] ", 0., 0.94); // // R9_low_2012->SetParameter(0, 3.05197369770460669e-03); // TF1* R9_hig_2012 = new TF1("R9_hig_2012", "[0] + [1]*x + [2]*pow(x,2) ", 0.94, 1.02); // R9_hig_2012->SetParameters(-2.30712976989725455e-01, 2.92312432577749526e-01, -4.51976365389429174e-02); // // ////////////// vs Et TF1* Et_highR9_2011 = new TF1("Et_highR9_2011", "[0] * (1 - exp(-[1] * x) ) +[2] ",0., 100.); Et_highR9_2011->SetParameters(1.59984924630326465e-02, 4.14188316002253587e-02, -6.49126732859059939e-03); TF1* Et_lowR9_2011 = new TF1("Et_lowR9_2011", "[0] * (1 - exp(-[1] * x) ) +[2] ",0., 100.); Et_lowR9_2011->SetParameters(2.20638739628473586e-02, 6.98744642383235803e-02, -1.85601207959524978e-02); TF1* Et_highR9_2012 = new TF1("Et_highR9_2012", "[0] * (1 - exp(-[1] * x) ) +[2] ",0., 100.); Et_highR9_2012->SetParameters(1.76747992064786620e-02, 3.73408739026924591e-02, -7.82929065282905561e-03); TF1* Et_lowR9_2012 = new TF1("Et_lowR9_2012", "[0] * (1 - exp(-[1] * x) ) +[2] ",0., 100.); Et_lowR9_2012->SetParameters(1.97205016874162468e-02, 4.41133183909690751e-02, -1.58915655671104904e-02); //MC 52X //stimate senza PU // TF1* Et_highR9_2012 = new TF1("Et_highR9_2012", "[0] * (1 - exp(-[1] * x) ) +[2] ",0., 100.); // Et_highR9_2012->SetParameters(1.71373322900473177e-02, 1.55744254105185699e-02, -2.11477940336727904e-03); // TF1* Et_lowR9_2012 = new TF1("Et_lowR9_2012", "[0] * (1 - exp(-[1] * x) ) +[2] ",0., 100.); // Et_lowR9_2012->SetParameters(2.63075655765558566e-02, 4.57322846169432515e-02, -2.09413281975727485e-02); //stimate con PU // TF1* Et_highR9_2012 = new TF1("Et_highR9_2012", "[0] * (1 - exp(-[1] * x) ) +[2] ",0., 100.); // Et_highR9_2012->SetParameters(1.71373322900473177e-02, 1.55744254105185699e-02, -2.11477940336727904e-03); // TF1* Et_lowR9_2012 = new TF1("Et_lowR9_2012", "[0] * (1 - exp(-[1] * x) ) +[2] ",0., 100.); // Et_lowR9_2012->SetParameters(1.69896128648113487e-02, 1.20797862827948261e-02, -5.86630884749932049e-03); // Settings for corrections // bool UsePhotonRegression = false; bool UsePhotonRegression = true; // bool correctEt = true; bool correctEt = false; // bool useShCorr = false; bool useShCorr = true; //----------------- // Input parameters std::cout << "\n*******************************************************************************************************************" << std::endl; std::cout << "arcg: " << argc << std::endl; char* EBEE = argv[1]; char* LOWHIGH = argv[2]; char* ENE = argv[3]; int PU = atoi(argv[4]); int evtsPerPoint = atoi(argv[5]); std::string string_year = argv[6]; int year = atoi(argv[6]); std::string doVsEach = argv[7]; char* SortVariable = argv[8]; std::cout << "EBEE: " << EBEE << std::endl; std::cout << "LOWHIGH: " << LOWHIGH << std::endl; std::cout << "ENE: " << ENE << std::endl; std::cout << "PU: " << PU << std::endl; std::cout << "evtsPerPoint: " << evtsPerPoint << std::endl; std::cout << "year: " << year << std::endl; std::cout << "doVsEach: " << doVsEach << std::endl; std::cout << "SortVariable: " << SortVariable << std::endl; TPileupReweighting* puReweighting; // //2012 prompt if(year == 2012) puReweighting = new TPileupReweighting("/afs/cern.ch/work/a/amartell/public/weights/PUweights_DYJetsToLL_Summer12_53X_ShSkim_ABC_TrueNumInteractions.root","hweights"); // new TPileupReweighting("/afs/cern.ch/work/a/amartell/public/weights/PUweights_DYJetsToLL_Summer12_ABC_TrueNumInteractions.root","pileup"); // new TPileupReweighting("/afs/cern.ch/work/a/amartell/public/weights/PUweights_DYJetsToLL_Summer12_Prompt_TrueNumInteractions.root","hweights"); // //2011 if(year == 2011) puReweighting = new TPileupReweighting("/afs/cern.ch/work/a/amartell/public/weights/PUweights_2011_DYJetsToLL_Fall2011_TrueNumInteractions.root", "hweights"); std::string R9MOD = std::string(LOWHIGH); std::string ENERGY = std::string(ENE); std::string SortV = std::string(SortVariable); //------------------- // Define in/outfiles std::string folderName; if(PU == 0) folderName = std::string(EBEE)+"_"+std::string(LOWHIGH)+"_"+std::string(ENE)+"_noPU"; if(PU == 1) folderName = std::string(EBEE)+"_"+std::string(LOWHIGH)+"_"+std::string(ENE); //if( strcmp(LOWHIGH,"")==0 ) folderName = std::string(EBEE); //if( strcmp(EBEE,"")==0 ) folderName = std::string(LOWHIGH); // Get trees std::cout << std::endl; std::string nameNtuples = "simpleNtupleEoverP/SimpleNtupleEoverP"; std::string nameNtuplesMC = "simpleNtupleEoverP/SimpleNtupleEoverP"; // if(year == 2011) nameNtuples = "ntu"; // if(year == 2011) nameNtuplesMC = "ntu"; // if(year == 2012) nameNtuplesMC = "simpleNtupleEoverPSh/SimpleNtupleEoverP"; TChain* ntu_MC = new TChain(nameNtuplesMC.c_str()); TChain* ntu_DA = new TChain(nameNtuples.c_str()); if(year == 2012){ ntu_MC->Add("/tmp/amartell/DYToEE_M-20_CT10_TuneZ2star_v2_8TeV-powheg-pythia6_Summer12_DR53X-PU_S10_START53_V7A-v1_AODSIM.root"); ntu_MC->Add("/tmp/amartell/DYJetsToLL_M-50_TuneZ2Star_8TeV-madgraph-tarball_Summer12_DR53X-PU_S10_START53_V7A-v1_AODSIM_2.root"); ntu_DA->Add("/tmp/amartell/DoubleElectronAB_13Jul2012.root"); ntu_DA->Add("/tmp/amartell/DoubleElectron_C_Prompt.root"); // ntu_MC->Add("/tmp/amartell/WJetsToLNu_START53_V7A.root"); // ntu_DA->Add("/tmp/amartell/Single_AB_Prompt.root"); // ntu_DA->Add("/tmp/amartell/Single_C_Prompt.root"); } if(year == 2011){ ntu_DA->Add("/tmp/amartell/DoubleElectron-RUN2011AB.root"); ntu_MC->Add("/tmp/amartell/DYJetsToLL_Fall11_START44_V9B.root"); } std::cout << " REFERENCE: " << std::setw(8) << ntu_MC->GetEntries() << " entries" << std::endl; std::cout << " DATA: " << std::setw(8) << ntu_DA->GetEntries() << " entries" << std::endl; if(ntu_DA->GetEntries() == 0 || ntu_MC->GetEntries() == 0 ) { std::cout << "Error: At least one file is empty" << std::endl; return -1; } std::vector<int> run_DA, time_DA, Z_DA, PV_DA; std::vector<int> run_MC, time_MC, Z_MC, PV_MC; std::vector<float> scE_DA, scEt_reg_DA,scE_reg_DA, R9_DA, P_DA, EoP_DA, Et_DA, scEta_DA, elePhi_DA, ES_DA, isEB_DA, e3x3_DA,e5x5_DA, scERaw_DA; std::vector<float> scE_MC, scEt_reg_MC, scE_reg_MC, R9_MC, P_MC, EoP_MC, Et_MC, scEta_MC, elePhi_MC, ES_MC, isEB_MC, puRe, e3x3_MC, e5x5_MC, scERaw_MC; std::vector<float> cloneSortVar_DA; std::vector<float> cloneSortVar_MC; std::vector<float> scEtRaw_DA, scEt_3x3_DA, scEt_5x5_DA; std::vector<float> scEtRaw_MC, scEt_3x3_MC, scEt_5x5_MC; std::vector<float> ele1ele2_scM_DA, ele1ele2_scM_MC; std::vector<int> charge_DA, charge_MC; // Set branch addresses int isZ,runId,timeStamp,nVtx; float npu; ntu_DA->SetBranchStatus("*",0); ntu_DA->SetBranchStatus("runId",1); ntu_DA->SetBranchAddress("runId", &runId); ntu_DA->SetBranchStatus("timeStampHigh",1); ntu_DA->SetBranchAddress("timeStampHigh", &timeStamp); ntu_DA->SetBranchStatus("isZ",1); ntu_DA->SetBranchAddress("isZ", &isZ); ntu_DA->SetBranchStatus("PV_n",1); ntu_DA->SetBranchAddress("PV_n",&nVtx); ntu_MC->SetBranchStatus("*",0); ntu_MC->SetBranchStatus("PUit_TrueNumInteractions", 1); ntu_MC->SetBranchAddress("PUit_TrueNumInteractions", &npu); ntu_MC->SetBranchStatus("runId",1); ntu_MC->SetBranchAddress("runId", &runId); ntu_MC->SetBranchStatus("timeStampHigh",1); ntu_MC->SetBranchAddress("timeStampHigh", &timeStamp); ntu_MC->SetBranchStatus("isZ",1); ntu_MC->SetBranchAddress("isZ", &isZ); ntu_MC->SetBranchStatus("PV_n",1); ntu_MC->SetBranchAddress("PV_n",&nVtx); // Electron data float scEne1, scEneReg1, EoP1, scEt1, scEta1, elePhi1, ES1, P1, scERaw1, e3x31, e5x51, ele1ele2_scM; float scEne2, scEneReg2, EoP2, scEt2, scEta2, elePhi2, ES2, P2, scERaw2, e3x32, e5x52; // float R9_pho1, R9_pho2; int isEB1,isEB2; int ele1_charge, ele2_charge; ntu_DA->SetBranchStatus("ele1_scE", 1); ntu_DA->SetBranchAddress("ele1_scE", &scEne1); ntu_DA->SetBranchStatus("ele1_scEt", 1); ntu_DA->SetBranchAddress("ele1_scEt", &scEt1); ntu_DA->SetBranchStatus("ele1_scEta", 1); ntu_DA->SetBranchAddress("ele1_scEta", &scEta1); ntu_DA->SetBranchStatus("ele1ele2_scM", 1); ntu_DA->SetBranchAddress("ele1ele2_scM", &ele1ele2_scM); if(!UsePhotonRegression) { ntu_DA->SetBranchStatus("ele1_scE_regression", 1); ntu_DA->SetBranchAddress("ele1_scE_regression", &scEneReg1); ntu_DA->SetBranchStatus("ele2_scE_regression",1); ntu_DA->SetBranchAddress("ele2_scE_regression", &scEneReg2); } else { ntu_DA->SetBranchStatus("ele1_scE_regression_PhotonTuned", 1); ntu_DA->SetBranchAddress("ele1_scE_regression_PhotonTuned", &scEneReg1); ntu_DA->SetBranchStatus("ele2_scE_regression_PhotonTuned",1); ntu_DA->SetBranchAddress("ele2_scE_regression_PhotonTuned", &scEneReg2); } ntu_DA->SetBranchStatus("ele1_scERaw",1); ntu_DA->SetBranchAddress("ele1_scERaw",&scERaw1); ntu_DA->SetBranchStatus("ele1_e3x3",1); ntu_DA->SetBranchAddress("ele1_e3x3", &e3x31); ntu_DA->SetBranchStatus("ele1_e5x5",1); ntu_DA->SetBranchAddress("ele1_e5x5", &e5x51); ntu_DA->SetBranchStatus("ele1_EOverP",1); ntu_DA->SetBranchAddress("ele1_EOverP",&EoP1); ntu_DA->SetBranchStatus("ele1_isEB",1); ntu_DA->SetBranchAddress("ele1_isEB",&isEB1); ntu_DA->SetBranchStatus("ele1_es", 1); ntu_DA->SetBranchAddress("ele1_es", &ES1); ntu_DA->SetBranchStatus("ele1_tkP",1); ntu_DA->SetBranchAddress("ele1_tkP", &P1); ntu_DA->SetBranchStatus("ele1_charge",1); ntu_DA->SetBranchAddress("ele1_charge", &ele1_charge); ntu_DA->SetBranchStatus("ele2_scE", 1); ntu_DA->SetBranchAddress("ele2_scE", &scEne2); ntu_DA->SetBranchStatus("ele2_scEta", 1); ntu_DA->SetBranchAddress("ele2_scEta", &scEta2); ntu_DA->SetBranchStatus("ele2_scEt", 1); ntu_DA->SetBranchAddress("ele2_scEt", &scEt2); ntu_DA->SetBranchStatus("ele2_e3x3",1); ntu_DA->SetBranchAddress("ele2_e3x3", &e3x32); ntu_DA->SetBranchStatus("ele2_e5x5",1); ntu_DA->SetBranchAddress("ele2_e5x5", &e5x52); ntu_DA->SetBranchStatus("ele2_scERaw",1); ntu_DA->SetBranchAddress("ele2_scERaw",&scERaw2); ntu_DA->SetBranchStatus("ele2_EOverP",1); ntu_DA->SetBranchAddress("ele2_EOverP",&EoP2); ntu_DA->SetBranchStatus("ele2_isEB",1); ntu_DA->SetBranchAddress("ele2_isEB",&isEB2); ntu_DA->SetBranchStatus("ele2_es", 1); ntu_DA->SetBranchAddress("ele2_es", &ES2); ntu_DA->SetBranchStatus("ele2_tkP",1); ntu_DA->SetBranchAddress("ele2_tkP", &P2); ntu_DA->SetBranchStatus("ele2_charge",1); ntu_DA->SetBranchAddress("ele2_charge", &ele2_charge); ntu_DA->SetBranchStatus("ele1_phi", 1); ntu_DA->SetBranchAddress("ele1_phi", &elePhi1); ntu_DA->SetBranchStatus("ele2_phi", 1); ntu_DA->SetBranchAddress("ele2_phi", &elePhi2); /////////////////////// ntu_MC->SetBranchStatus("ele1_scE", 1); ntu_MC->SetBranchAddress("ele1_scE", &scEne1); ntu_MC->SetBranchStatus("ele1_scEt", 1); ntu_MC->SetBranchAddress("ele1_scEt", &scEt1); ntu_MC->SetBranchStatus("ele1_scEta", 1); ntu_MC->SetBranchAddress("ele1_scEta", &scEta1); ntu_MC->SetBranchStatus("ele1ele2_scM", 1); ntu_MC->SetBranchAddress("ele1ele2_scM", &ele1ele2_scM); if(!UsePhotonRegression) { ntu_MC->SetBranchStatus("ele1_scE_regression", 1); ntu_MC->SetBranchAddress("ele1_scE_regression", &scEneReg1); ntu_MC->SetBranchStatus("ele2_scE_regression",1); ntu_MC->SetBranchAddress("ele2_scE_regression", &scEneReg2); } else { ntu_MC->SetBranchStatus("ele1_scE_regression_PhotonTuned", 1); ntu_MC->SetBranchAddress("ele1_scE_regression_PhotonTuned", &scEneReg1); ntu_MC->SetBranchStatus("ele2_scE_regression_PhotonTuned",1); ntu_MC->SetBranchAddress("ele2_scE_regression_PhotonTuned", &scEneReg2); } ntu_MC->SetBranchStatus("ele1_scERaw",1); ntu_MC->SetBranchAddress("ele1_scERaw",&scERaw1); ntu_MC->SetBranchStatus("ele1_e3x3",1); ntu_MC->SetBranchAddress("ele1_e3x3", &e3x31); ntu_MC->SetBranchStatus("ele1_e5x5",1); ntu_MC->SetBranchAddress("ele1_e5x5", &e5x51); ntu_MC->SetBranchStatus("ele1_EOverP",1); ntu_MC->SetBranchAddress("ele1_EOverP",&EoP1); ntu_MC->SetBranchStatus("ele1_isEB",1); ntu_MC->SetBranchAddress("ele1_isEB",&isEB1); ntu_MC->SetBranchStatus("ele1_es", 1); ntu_MC->SetBranchAddress("ele1_es", &ES1); ntu_MC->SetBranchStatus("ele1_tkP",1); ntu_MC->SetBranchAddress("ele1_tkP", &P1); ntu_MC->SetBranchStatus("ele1_charge",1); ntu_MC->SetBranchAddress("ele1_charge", &ele1_charge); ntu_MC->SetBranchStatus("ele2_scE", 1); ntu_MC->SetBranchAddress("ele2_scE", &scEne2); ntu_MC->SetBranchStatus("ele2_scEta", 1); ntu_MC->SetBranchAddress("ele2_scEta", &scEta2); ntu_MC->SetBranchStatus("ele2_scEt", 1); ntu_MC->SetBranchAddress("ele2_scEt", &scEt2); ntu_MC->SetBranchStatus("ele2_e3x3",1); ntu_MC->SetBranchAddress("ele2_e3x3", &e3x32); ntu_MC->SetBranchStatus("ele2_e5x5",1); ntu_MC->SetBranchAddress("ele2_e5x5", &e5x52); ntu_MC->SetBranchStatus("ele2_scERaw",1); ntu_MC->SetBranchAddress("ele2_scERaw",&scERaw2); ntu_MC->SetBranchStatus("ele2_EOverP",1); ntu_MC->SetBranchAddress("ele2_EOverP",&EoP2); ntu_MC->SetBranchStatus("ele2_isEB",1); ntu_MC->SetBranchAddress("ele2_isEB",&isEB2); ntu_MC->SetBranchStatus("ele2_es", 1); ntu_MC->SetBranchAddress("ele2_es", &ES2); ntu_MC->SetBranchStatus("ele2_tkP",1); ntu_MC->SetBranchAddress("ele2_tkP", &P2); ntu_MC->SetBranchStatus("ele2_charge",1); ntu_MC->SetBranchAddress("ele2_charge", &ele2_charge); ntu_MC->SetBranchStatus("ele1_phi", 1); ntu_MC->SetBranchAddress("ele1_phi", &elePhi1); ntu_MC->SetBranchStatus("ele2_phi", 1); ntu_MC->SetBranchAddress("ele2_phi", &elePhi2); ////////////////////// for(int ientry = 0; ientry < ntu_DA -> GetEntries(); ientry++) { if( (ientry%100000 == 0) ) std::cout << "reading DATA entry " << ientry << "\r" << std::flush; ntu_DA->GetEntry(ientry); if(isZ == 0) continue; ++totDAevts; if(e3x31/scERaw1 > 0.94 && e3x32/scERaw2 > 0.94) ++DAevtsHIHI; run_DA.push_back(runId); float corrEtR9_1 = 1.; float corrEtR9_2 = 1.; if(correctEt == true){ if(year == 2012){ if(e3x31/scERaw1 < 0.94 ) corrEtR9_1 = corrEtR9_1 / (1. + Et_lowR9_2012->Eval(scEneReg1)); if(e3x32/scERaw2 < 0.94 ) corrEtR9_2 = corrEtR9_2 / (1. + Et_lowR9_2012->Eval(scEneReg2)); if(e3x31/scERaw1 >= 0.94 ) corrEtR9_1 = corrEtR9_1 / (1. + Et_highR9_2012->Eval(scEneReg1)); if(e3x32/scERaw2 >= 0.94 ) corrEtR9_2 = corrEtR9_2 / (1. + Et_highR9_2012->Eval(scEneReg2)); } if(year == 2011){ if(e3x31/scERaw1 < 0.94 ) corrEtR9_1 = corrEtR9_1 / (1. + Et_lowR9_2011->Eval(scEneReg1)); if(e3x32/scERaw2 < 0.94 ) corrEtR9_2 = corrEtR9_2 / (1. + Et_lowR9_2011->Eval(scEneReg2)); if(e3x31/scERaw1 >= 0.94 ) corrEtR9_1 = corrEtR9_1 / (1. + Et_highR9_2011->Eval(scEneReg1)); if(e3x32/scERaw2 >= 0.94 ) corrEtR9_2 = corrEtR9_2 / (1. + Et_highR9_2011->Eval(scEneReg2)); } } if(useShCorr == true){ corrEtR9_1 = corrEtR9_1 * GetShervingCorrections(scEta1, e3x31/scERaw1, runId); corrEtR9_2 = corrEtR9_2 * GetShervingCorrections(scEta2, e3x32/scERaw2, runId); } charge_DA.push_back(ele1_charge); charge_DA.push_back(ele2_charge); time_DA.push_back(timeStamp); Z_DA.push_back(isZ); PV_DA.push_back(nVtx); scE_DA.push_back(scEne1); scE_DA.push_back(scEne2); scE_reg_DA.push_back(scEneReg1*corrEtR9_1); scE_reg_DA.push_back(scEneReg2*corrEtR9_2); float Rt1 = sin(2*atan(exp(-scEta1)) ); float Rt2 = sin(2*atan(exp(-scEta2)) ); scEt_reg_DA.push_back(scEneReg1*Rt1*corrEtR9_1); scEt_reg_DA.push_back(scEneReg2*Rt2*corrEtR9_2); R9_DA.push_back(e3x31/scERaw1); R9_DA.push_back(e3x32/scERaw2); P_DA.push_back(P1); P_DA.push_back(P2); EoP_DA.push_back(EoP1); EoP_DA.push_back(EoP2); Et_DA.push_back(scEt1); Et_DA.push_back(scEt2); scEta_DA.push_back(scEta1); scEta_DA.push_back(scEta2); ES_DA.push_back(ES1); ES_DA.push_back(ES2); isEB_DA.push_back(isEB1); isEB_DA.push_back(isEB2); e3x3_DA.push_back(e3x31); e3x3_DA.push_back(e3x32); e5x5_DA.push_back(e5x51); e5x5_DA.push_back(e5x52); scERaw_DA.push_back(scERaw1); scERaw_DA.push_back(scERaw2); scEtRaw_DA.push_back(scERaw1*scEt1/scEne1); scEtRaw_DA.push_back(scERaw2*scEt2/scEne2); scEt_3x3_DA.push_back(e3x31*scEt1/scEne1); scEt_3x3_DA.push_back(e3x32*scEt2/scEne2); scEt_5x5_DA.push_back(e5x51*scEt1/scEne1); scEt_5x5_DA.push_back(e5x52*scEt2/scEne2); if(SortV == "Et"){ cloneSortVar_DA.push_back(scEneReg1*Rt1*corrEtR9_1); cloneSortVar_DA.push_back(scEneReg2*Rt2*corrEtR9_2); } if(SortV == "R9"){ cloneSortVar_DA.push_back(e3x31/scERaw1); cloneSortVar_DA.push_back(e3x32/scERaw2); } } std::cout << std::endl; float ww = 1.; for(int ientry = 0; ientry < ntu_MC -> GetEntries(); ientry++) { if( (ientry%100000 == 0) ) std::cout << "reading MC entry " << ientry << "\r" << std::flush; ntu_MC->GetEntry(ientry); if(isZ == 0) continue; // if(nVtx > 20) continue; float R9_ele1 = e3x31/scERaw1; if(year == 2012 && isEB1 == 1) R9_ele1 = 0.0010 + 1.0045 * e3x31/scERaw1; if(year == 2012 && isEB1 == 0) R9_ele1 = -0.0007 + 1.0086 * e3x31/scERaw1; if(year == 2011) R9_ele1 = 1.0035 * e3x31/scERaw1; float R9_ele2 = e3x32/scERaw2; if(year == 2012 && isEB2 == 1) R9_ele2 = 0.0010 + 1.0045 * e3x32/scERaw2; if(year == 2012 && isEB2 == 0) R9_ele2 = -0.0007 + 1.0086 * e3x32/scERaw2; if(year == 2011) R9_ele2 = 1.0035 * e3x32/scERaw2; float energySmearing1 = gRandom->Gaus(1.,0.0075); float energySmearing2 = gRandom->Gaus(1.,0.0075); energySmearing1 = gRandom->Gaus(1., GetSmearings(scEta1, R9_ele1, year, isEB1)); energySmearing2 = gRandom->Gaus(1., GetSmearings(scEta2, R9_ele2, year, isEB2)); charge_MC.push_back(ele1_charge); charge_MC.push_back(ele2_charge); ww = puReweighting->GetWeight((int)npu); puRe.push_back(ww); run_MC.push_back(runId); time_MC.push_back(timeStamp); Z_MC.push_back(isZ); PV_MC.push_back(nVtx); scE_MC.push_back(scEne1); scE_MC.push_back(scEne2); scE_reg_MC.push_back(scEneReg1 * energySmearing1); scE_reg_MC.push_back(scEneReg2 * energySmearing2); scEt_reg_MC.push_back(scEneReg1/scEne1*scEt1*energySmearing1); scEt_reg_MC.push_back(scEneReg2/scEne2*scEt2*energySmearing2); P_MC.push_back(P1); P_MC.push_back(P2); EoP_MC.push_back(EoP1); EoP_MC.push_back(EoP2); Et_MC.push_back(scEt1); Et_MC.push_back(scEt2); scEta_MC.push_back(scEta1); scEta_MC.push_back(scEta2); ES_MC.push_back(ES1); ES_MC.push_back(ES2); isEB_MC.push_back(isEB1); isEB_MC.push_back(isEB2); e5x5_MC.push_back(e5x51); e5x5_MC.push_back(e5x52); scERaw_MC.push_back(scERaw1); scERaw_MC.push_back(scERaw2); R9_MC.push_back(R9_ele1); R9_MC.push_back(R9_ele2); scEtRaw_MC.push_back(scERaw1*scEt1/scEne1); scEtRaw_MC.push_back(scERaw2*scEt2/scEne2); scEt_5x5_MC.push_back(e5x51*scEt1/scEne1); scEt_5x5_MC.push_back(e5x52*scEt2/scEne2); e3x3_MC.push_back(R9_ele1*scERaw1); e3x3_MC.push_back(R9_ele2*scERaw2); scEt_3x3_MC.push_back(R9_ele1*scERaw1*scEt1/scEne1); scEt_3x3_MC.push_back(R9_ele2*scERaw2*scEt2/scEne2); if(SortV == "Et"){ cloneSortVar_MC.push_back(scEneReg1/scEne1*scEt1*energySmearing1); cloneSortVar_MC.push_back(scEneReg2/scEne2*scEt2*energySmearing2); } if(SortV == "R9"){ cloneSortVar_MC.push_back(R9_ele1); cloneSortVar_MC.push_back(R9_ele2); } } // std::cout << " totDAevts = " << totDAevts << std::endl; // std::cout << " DAevtsHIHI = " << DAevtsHIHI << std::endl; // return 200; // Loop and sort events std::cout << std::endl; std::cout << "***** Sort events and define bins *****" << std::endl; int nEntries = cloneSortVar_DA.size(); int nSavePts = 0; std::vector<bool> isSavedEntries(nEntries); std::vector<SorterLC> sortedEntries; for(int ientry = 0; ientry < nEntries; ++ientry) { isSavedEntries.at(ientry) = false; // save only what is needed for the analysis!!! if(strcmp(EBEE,"EE")==0 && (fabs(scEta_DA.at(ientry)) < 1.566 || fabs(scEta_DA.at(ientry)) > 2.5 )) continue; if(strcmp(EBEE,"EB")==0 && (fabs(scEta_DA.at(ientry)) > 1.4442 )) continue; if(std::string(EBEE) == "BC" && (fabs(scEta_DA.at(ientry)) > 1. )) continue; if(std::string(EBEE) == "B4" && (fabs(scEta_DA.at(ientry)) < 1. || fabs(scEta_DA.at(ientry)) > 1.4442)) continue; if(std::string(EBEE) == "EL" && (fabs(scEta_DA.at(ientry)) < 1.566 || fabs(scEta_DA.at(ientry)) > 2. )) continue; if(std::string(EBEE) == "EH" && (fabs(scEta_DA.at(ientry)) > 2.5 )) continue; // if(R9_DA.at(ientry) < 0.7) continue; if(scEt_reg_DA.at(ientry) < 25.) continue; //to be fixed -> categories as in Hgg if(std::string(LOWHIGH) == "LOW" && R9_DA.at(ientry) >= 0.94) continue; if(std::string(LOWHIGH) == "HIGH" && R9_DA.at(ientry) < 0.94 ) continue; isSavedEntries.at(ientry) = true; SorterLC dummy; dummy.laserCorr = cloneSortVar_DA.at(ientry); dummy.entry = ientry; sortedEntries.push_back(dummy); nSavePts++; } std::cout << " Effective entries = " << nSavePts << std::endl; std::cout << " Effective entries sortedEntries.size()= " << sortedEntries.size() << std::endl; std::sort(sortedEntries.begin(),sortedEntries.end(),SorterLC()); std::cout << "Sorting variable vs " << SortV << std::endl; std::cout << "DATA sorted in " << EBEE << " - " << nSavePts << " events" << std::endl; std::map<int,int> antiMap; for(unsigned int iSaved = 0; iSaved < sortedEntries.size(); ++iSaved) antiMap[sortedEntries.at(iSaved).entry] = iSaved; // bins with evtsPerPoint events per bin std::cout << " nSavePts = " << nSavePts << std::endl; std::cout << " evtsPerPoint = " << evtsPerPoint << std::endl; int nBins = std::max(1, int(nSavePts/evtsPerPoint)); std::cout << " nBins = " << nBins << std::endl; int nBinPts = int( nSavePts/nBins ); std::cout << " nBinPts = " << nBinPts << std::endl; int nBinTempPts = 0; std::cout << "nBins = " << nBins << std::endl; std::vector<int> binEntryMax; binEntryMax.push_back(0); for(int iSaved = 0; iSaved < nSavePts; ++iSaved) { ++nBinTempPts; if( nBinTempPts == nBinPts ) { binEntryMax.push_back( iSaved ); nBinTempPts = 0; } } binEntryMax.at(nBins) = nSavePts; std::cout << " fine : nBins = " << nBins << std::endl; TVirtualFitter::SetDefaultFitter("Fumili2"); // histogram definition TH1F** h_EoP_DA = new TH1F*[nBins]; TH1F** h_EoP_MC = new TH1F*[nBins]; TH1F** h_SortV = new TH1F*[nBins]; TH1F** h_SortV_MC = new TH1F*[nBins]; TH1F* h_Et_allDA = new TH1F("h_Et_allDA", "", 5000, 0., 1000.); TH1F* h_Et_allMC = new TH1F("h_Et_allMC", "", 5000, 0., 1000.); TH1F* h_R9_allDA = new TH1F("h_R9_allDA", "", 2200, 0., 1.1); TH1F* h_R9_allMC = new TH1F("h_R9_allMC", "", 2200, 0., 1.1); TH1F* h_scE_DA = new TH1F("h_scE_DA", "", 4000, 0., 200.); TH1F* h_scReg_DA = new TH1F("h_scReg_DA", "", 4000, 0., 200.); TH1F* h_scRaw_DA = new TH1F("h_scRaw_DA", "", 4000, 0., 200.); TH1F* h_Vtx_DA = new TH1F("h_Vtx_DA", "", 200, 0., 200.); TH1F* h_Vtx_MC = new TH1F("h_Vtx_MC", "", 200, 0., 200.); TH2F* h_R9_vsET_MC = new TH2F("h_R9_vsET_MC", "", 200, 0., 200., 220, 0., 1.1); TH2F* h_R9_vsET_DA = new TH2F("h_R9_vsET_DA", "", 200, 0., 200., 220, 0., 1.1); TProfile* p_R9_vsET_MC = new TProfile("p_R9_vsET_MC", "", 200, 0., 200.); TProfile* p_R9_vsET_DA = new TProfile("p_R9_vsET_DA", "", 200, 0., 200.); h_Et_allDA->Sumw2(); h_Et_allMC->Sumw2(); h_R9_allDA->Sumw2(); h_R9_allMC->Sumw2(); h_scE_DA->Sumw2(); h_scReg_DA->Sumw2(); h_scRaw_DA->Sumw2(); h_Vtx_DA->Sumw2(); h_Vtx_MC->Sumw2(); h_R9_vsET_MC->Sumw2(); h_R9_vsET_DA->Sumw2(); p_R9_vsET_MC->Sumw2(); p_R9_vsET_DA->Sumw2(); h_Et_allDA->SetLineColor(kRed+2); h_R9_allDA->SetLineColor(kRed+2); h_Vtx_DA->SetLineColor(kRed+2); h_Et_allMC->SetLineColor(kGreen+2); h_R9_allMC->SetLineColor(kGreen+2); h_Vtx_MC->SetLineColor(kGreen+2); std::vector<float> EtBinEdge; EtBinEdge.clear(); std::vector<float> xNorm_single; for(int i = 0; i < nBins; ++i) { char histoName[80]; sprintf(histoName, "EoP_DA_%d", i); if(SortV == "Et") h_EoP_DA[i] = new TH1F(histoName, histoName, 600, 0., 3.); if(SortV == "R9") h_EoP_DA[i] = new TH1F(histoName, histoName, 400, 0., 2.); h_EoP_DA[i]->SetFillColor(kRed+2); h_EoP_DA[i]->SetFillStyle(3004); h_EoP_DA[i]->SetMarkerStyle(7); h_EoP_DA[i]->SetMarkerColor(kRed+2); h_EoP_DA[i]->SetLineColor(kRed+2); sprintf(histoName, "EoP_MC_%d", i); if(SortV == "Et") h_EoP_MC[i] = new TH1F(histoName, histoName, 600, 0., 3.); if(SortV == "R9") h_EoP_MC[i] = new TH1F(histoName, histoName, 400, 0., 2.); h_EoP_MC[i] -> SetFillColor(kGreen+2); h_EoP_MC[i] -> SetFillStyle(3004); h_EoP_MC[i] -> SetMarkerStyle(7); h_EoP_MC[i] -> SetMarkerColor(kGreen+2); h_EoP_MC[i] -> SetLineColor(kGreen+2); sprintf(histoName, (SortV+"_%d").c_str(), i); if(SortV == "Et") h_SortV[i] = new TH1F(histoName, histoName, 5000, 0., 1000.); if(SortV == "R9") h_SortV[i] = new TH1F(histoName, histoName, 2200, 0, 1.1); h_SortV[i]->SetLineColor(kRed+2); sprintf(histoName, (SortV+"_MC_%d").c_str(), i); if(SortV == "Et") h_SortV_MC[i] = new TH1F(histoName, histoName, 5000, 0., 1000.); if(SortV == "R9") h_SortV_MC[i] = new TH1F(histoName, histoName, 2200, 0, 1.1); h_SortV_MC[i]->SetLineColor(kGreen+2); h_EoP_DA[i]->Sumw2(); h_EoP_MC[i]->Sumw2(); h_SortV[i]->Sumw2(); h_SortV_MC[i]->Sumw2(); } std::cout << " cloneSortVar_DA.size() = " << cloneSortVar_DA.size() << std::endl; std::cout << " cloneSortVar_MC.size() = " << cloneSortVar_MC.size() << std::endl; std::vector<float> x; std::vector<float> ex; std::vector<float> y; std::vector<float> ey; TGraphErrors* finalGraph = new TGraphErrors(); // function definition TF1** f_EoP = new TF1*[nBins]; // loop on the saved and sorted events std::cout << std::endl; std::cout << "***** Fill and fit histograms *****" << std::endl; int DAEntries = cloneSortVar_DA.size(); for(unsigned int ientry = 0; ientry < DAEntries; ++ientry){ if( (ientry%100000 == 0) ) std::cout << "reading entry " << ientry << std::endl; if( isSavedEntries.at(ientry) == false) continue; int iSaved = antiMap[ientry]; int bin = -1; for(bin = 0; bin < nBins; ++bin) if( iSaved >= binEntryMax.at(bin) && iSaved < binEntryMax.at(bin+1) ) break; h_EoP_DA[bin]->Fill((scE_reg_DA.at(ientry)-ES_DA.at(ientry))/(P_DA.at(ientry)-ES_DA.at(ientry))); h_SortV[bin]->Fill(cloneSortVar_DA.at(ientry) ); h_Et_allDA->Fill(scEt_reg_DA.at(ientry) ); h_R9_allDA->Fill(R9_DA.at(ientry)); h_Vtx_DA->Fill(PV_DA.at(int(ientry/2)) ); h_scE_DA->Fill(scE_DA.at(ientry) ); h_scReg_DA->Fill(scE_reg_DA.at(ientry)); h_scRaw_DA->Fill(scERaw_DA.at(ientry)); h_R9_vsET_DA->Fill(scEt_reg_DA.at(ientry), R9_DA.at(ientry)); p_R9_vsET_DA->Fill(scEt_reg_DA.at(ientry), R9_DA.at(ientry)); } std::cout << " dati fillati " << std::endl; std::cout << std::endl; for(int bin = 0; bin < nBins; bin++) { std::cout << "h_SortV[bin]->GetEntries() = " << h_SortV[bin]->GetEntries() << std::endl; std::cout << "h_EoP_DA[bin]->GetEntries() = " << h_EoP_DA[bin]->GetEntries() << std::endl; for(int i = 1; i < h_SortV[bin]->GetNbinsX()+1; i++) { if(h_SortV[bin]->GetBinContent(i) > 0) { EtBinEdge.push_back(h_SortV[bin]->GetBinCenter(i)-h_SortV[bin]->GetBinWidth(i) ); break; } } } int MCEntries = cloneSortVar_MC.size(); for(unsigned int ientry = 0; ientry < MCEntries; ++ientry) { if( (ientry%100000 == 0) ) std::cout << "reading entry " << ientry << std::endl; if (strcmp(EBEE,"EE")==0 && (fabs(scEta_MC.at(ientry)) < 1.566 || fabs(scEta_MC.at(ientry)) > 2.5 )) continue; if (strcmp(EBEE,"EB")==0 && (fabs(scEta_MC.at(ientry)) > 1.4442 )) continue; // if(R9_MC.at(ientry) < 0.7) continue; if(scEt_reg_MC.at(ientry) < 25.) continue; //to be fixed -> categories as in Hgg if(std::string(EBEE) == "BC" && (fabs(scEta_MC.at(ientry)) > 1. )) continue; if(std::string(EBEE) == "B4" && (fabs(scEta_MC.at(ientry)) < 1. || fabs(scEta_MC.at(ientry)) > 1.4442)) continue; if(std::string(EBEE) == "EL" && (fabs(scEta_MC.at(ientry)) < 1.566 || fabs(scEta_MC.at(ientry)) > 2. )) continue; if(std::string(EBEE) == "EH" && (fabs(scEta_MC.at(ientry)) > 2.5 )) continue; if(std::string(LOWHIGH) == "LOW" && R9_MC.at(ientry) >= 0.94 ) continue; if(std::string(LOWHIGH) == "HIGH" && R9_MC.at(ientry) < 0.94 ) continue; for(unsigned int bin = 0; bin < EtBinEdge.size(); ++bin){ if( (bin != EtBinEdge.size()-1 && cloneSortVar_MC.at(ientry) > EtBinEdge.at(bin) && cloneSortVar_MC.at(ientry) < EtBinEdge.at(bin+1)) || (bin == EtBinEdge.size()-1 && cloneSortVar_MC.at(ientry) > EtBinEdge.at(bin) ) ){ if(PU == 0) { h_EoP_MC[(int)bin]->Fill((scE_reg_MC.at(ientry)-ES_MC.at(ientry))/(P_MC.at(ientry)-ES_MC.at(ientry))); h_SortV_MC[int(bin)]->Fill(cloneSortVar_MC.at(ientry)); break; } if(PU == 1) { h_EoP_MC[(int)bin]->Fill((scE_reg_MC.at(ientry)-ES_MC.at(ientry))/(P_MC.at(ientry)-ES_MC.at(ientry)), puRe.at(int(ientry/2))); h_SortV_MC[int(bin)]->Fill(cloneSortVar_MC.at(ientry), puRe.at(int(ientry/2)) ); break; } } // get the ok bin }//loop over bins if(PU == 0){ h_Et_allMC->Fill(scEt_reg_MC.at(ientry)); h_R9_allMC->Fill(R9_MC.at(ientry)); h_Vtx_MC->Fill(PV_MC.at(int(ientry/2))); } if(PU == 1){ h_Et_allMC->Fill(scEt_reg_MC.at(ientry), puRe.at(int(ientry/2))); h_R9_allMC->Fill(R9_MC.at(ientry), puRe.at(int(ientry/2))); h_Vtx_MC->Fill(PV_MC.at(int(ientry/2)), puRe.at(int(ientry/2)) ); h_R9_vsET_MC->Fill(scEt_reg_MC.at(ientry), R9_MC.at(ientry), puRe.at(int(ientry/2))); p_R9_vsET_MC->Fill(scEt_reg_MC.at(ientry), R9_MC.at(ientry), puRe.at(int(ientry/2))); } } std::cout << " fino a qui ci sono = MC fillati" << std::endl; for(int i = 0; i < nBins; ++i){ //------------------------------------ // Fill the graph for uncorrected data // define the fitting function // N.B. [0] * ( [1] * f( [1]*(x-[2]) ) ) float xNorm = h_EoP_DA[i]->Integral()/h_EoP_MC[i]->Integral(); // * h_EoP_DA[i]->GetBinWidth(1)/h_EoP_MC[i]->GetBinWidth(1); h_EoP_MC[i]->Scale(xNorm); float xNorm_all = h_Et_allDA->Integral()/h_Et_allMC->Integral(); //* h_Et_allDA->GetBinWidth()/h_Et_allMC->GetBinWidth(); if(SortV == "Et") xNorm_all = h_R9_allDA->Integral()/h_R9_allMC->Integral(); h_Et_allMC->Scale(xNorm_all); h_R9_allMC->Scale(xNorm_all); h_Vtx_MC->Scale(xNorm_all); float xNormSV = h_SortV[i]->Integral()/h_SortV_MC[i]->Integral(); //*h_Et[i]->GetBinWidth()/h_Et_MC[i]->GetBinWidth(); h_SortV_MC[i]->Scale(xNormSV); // std::cout << " i = " << i << " h_EoP_DA[i]->Integral() = " << h_EoP_DA[i]->Integral() << std::endl; // std::cout << " i = " << i << " h_Et[i]->Integral() = " << h_Et[i]->Integral() << std::endl; // std::cout << " i = " << i << " h_EoP_MC[i]->Integral() = " << h_EoP_MC[i]->Integral() << std::endl; // std::cout << " i = " << i << " h_Et_MC[i]->Integral() = " << h_Et_MC[i]->Integral() << std::endl; // std::cout << " i = " << i << " h_EoP_DA[i]->Integral() = " << h_EoP_DA[i]->Integral() << std::endl; // std::cout << " i = " << i << " h_EoP_MC[i]->Integral() = " << h_EoP_MC[i]->Integral() << std::endl; // std::cout << " xNorm = " << xNorm << std::endl; // std::cout << " xNormEt = " << xNormEt << std::endl; // h_EoP_MC[i]->Smooth(2); // if(reweightZtoH == false && reweightEta == false && reweightR9 == false){ if(SortV == "Et"){ if(std::string(EBEE) == "EB" && year == 2011 && std::string(LOWHIGH) == "HIGH"){h_EoP_MC[i]->Smooth(1); } if(std::string(EBEE) == "EB" && year == 2011 && std::string(LOWHIGH) == "LOW"){ h_EoP_MC[i]->Smooth(1); } if(std::string(EBEE) == "EB" && year == 2012 && std::string(LOWHIGH) == "HIGH"){ h_EoP_MC[i]->Smooth(2); } if(std::string(EBEE) == "EB" && year == 2012 && std::string(LOWHIGH) == "LOW"){h_EoP_MC[i]->Smooth(2); } if(std::string(EBEE) == "EE" && year == 2011 && std::string(LOWHIGH) == "HIGH") { h_EoP_MC[i]->Smooth(150); h_EoP_DA[i]->Rebin(4); h_EoP_MC[i]->Rebin(4);} if(std::string(EBEE) == "EE" && year == 2011 && std::string(LOWHIGH) == "LOW") { h_EoP_MC[i]->Smooth(150); h_EoP_DA[i]->Rebin(4); h_EoP_MC[i]->Rebin(4);} if(std::string(EBEE) == "EE" && year == 2012 && std::string(LOWHIGH) == "HIGH") { h_EoP_MC[i]->Smooth(150); h_EoP_DA[i]->Rebin(4); h_EoP_MC[i]->Rebin(4);} if(std::string(EBEE) == "EE" && year == 2012 && std::string(LOWHIGH) == "LOW") {h_EoP_MC[i]->Smooth(150); h_EoP_DA[i]->Rebin(4); h_EoP_MC[i]->Rebin(4);} } if(SortV == "R9"){ // h_EoP_DA[i]->Rebin(2); h_EoP_MC[i]->Rebin(2); // if(reweightZtoH == false && reweightEta == false && reweightR9 == false){ if(std::string(EBEE) == "EB" && year == 2011 && std::string(LOWHIGH) == "HIGH"){h_EoP_MC[i]->Smooth(1); } if(std::string(EBEE) == "EB" && year == 2011 && std::string(LOWHIGH) == "LOW"){ h_EoP_MC[i]->Smooth(1); } if(std::string(EBEE) == "EB" && year == 2012 && std::string(LOWHIGH) == "HIGH"){ h_EoP_MC[i]->Smooth(2); } if(std::string(EBEE) == "EB" && year == 2012 && std::string(LOWHIGH) == "LOW"){h_EoP_MC[i]->Smooth(2); } if(std::string(EBEE) == "EE" && year == 2011 && std::string(LOWHIGH) == "HIGH") { h_EoP_MC[i]->Smooth(150); h_EoP_DA[i]->Rebin(4); h_EoP_MC[i]->Rebin(4);} if(std::string(EBEE) == "EE" && year == 2011 && std::string(LOWHIGH) == "LOW") { h_EoP_MC[i]->Smooth(150); h_EoP_DA[i]->Rebin(4); h_EoP_MC[i]->Rebin(4);} if(std::string(EBEE) == "EE" && year == 2012 && std::string(LOWHIGH) == "HIGH") { h_EoP_MC[i]->Smooth(150); h_EoP_DA[i]->Rebin(4); h_EoP_MC[i]->Rebin(4);} if(std::string(EBEE) == "EE" && year == 2012 && std::string(LOWHIGH) == "LOW") {h_EoP_MC[i]->Smooth(150); h_EoP_DA[i]->Rebin(4); h_EoP_MC[i]->Rebin(4);} } histoFunc* templateHistoFunc = new histoFunc(h_EoP_MC[i]); char funcName[50]; sprintf(funcName,"f_EoP_%d",i); f_EoP[i] = new TF1(funcName, templateHistoFunc, 0.7, 1.3, 3, "histoFunc"); if(std::string(EBEE) == "EE") f_EoP[i] = new TF1(funcName, templateHistoFunc, 0.5, 2.5, 3, "histoFunc"); if(std::string(EBEE) == "EE" && SortV == "R9") f_EoP[i] = new TF1(funcName, templateHistoFunc, 0.7, 1.4, 3, "histoFunc"); f_EoP[i]->SetParName(0,"Norm"); f_EoP[i]->SetParName(1,"Scale factor"); f_EoP[i]->SetLineWidth(1); f_EoP[i]->SetNpx(10000); xNorm = 1.; f_EoP[i]->FixParameter(0, xNorm); // f_EoP[i] -> SetParameter(1, gRandom->Gaus(1.,0.005)); f_EoP[i]->SetParameter(1, 0.99); f_EoP[i]->FixParameter(2, 0.); f_EoP[i]->SetLineColor(kRed+2); TFitResultPtr rp = h_EoP_DA[i]->Fit(funcName, "QERLS+"); int fStatus = rp; int nTrials = 0; while( (fStatus != 0) && (nTrials < 100) ) { rp = h_EoP_DA[i]->Fit(funcName, "QERLS+"); fStatus = rp; if(fStatus == 0) break; ++nTrials; } double eee = f_EoP[i]->GetParError(1); double k = 1./f_EoP[i]->GetParameter(1); // Fill the graph if (fStatus == 0 && eee*k > 0.1*h_EoP_DA[i]->GetRMS()/sqrt(evtsPerPoint)) { x.push_back(h_SortV[i]->GetMean()); ex.push_back((h_SortV[i]->GetRMS())/sqrt(h_SortV[i]->GetEntries())); y.push_back(k-1); ey.push_back(eee * k * k); } else std::cout << "Fitting uncorrected Et bin: " << i << " Fail status: " << fStatus << " sigma: " << eee << std::endl; } for(unsigned int i = 0; i < x.size(); ++i) { finalGraph->SetPoint(i, x.at(i) , y.at(i)); finalGraph->SetPointError(i, ex.at(i), ey.at(i)); } if(year == 2012) finalGraph->SetMarkerColor(kBlue); if(year == 2011) finalGraph->SetMarkerColor(kCyan); if(strcmp(LOWHIGH,"HIGH")==0 ) finalGraph->GetYaxis()->SetRangeUser(-0.004, 0.014); if(strcmp(LOWHIGH,"LOW")==0 ) finalGraph->GetYaxis()->SetRangeUser(-0.03, 0.03); finalGraph->GetYaxis()->SetTitle("E/p_{data} - E/p_{mc}"); finalGraph->GetXaxis()->SetRangeUser(0., 130.); finalGraph->GetXaxis()->SetTitle(SortV.c_str()); // std::cout << " totDAevts = " << totDAevts << std::endl; // std::cout << " DAevtsHIHI = " << DAevtsHIHI << std::endl; std::string plotFolderName = "PLOTS_vs"+SortV; if(doVsEach == "true") plotFolderName = "PLOTS_true"; TFile pippo((plotFolderName+"/results_"+folderName+"_"+string_year+".root").c_str(),"recreate"); finalGraph->Write("finalGraph"); h_Et_allMC->Write(); h_Et_allDA->Write(); h_R9_allMC->Write(); h_R9_allDA->Write(); h_R9_vsET_MC->Write(); h_R9_vsET_DA->Write(); p_R9_vsET_MC->Write(); p_R9_vsET_DA->Write(); h_Vtx_DA->Write(); h_Vtx_MC->Write(); h_scE_DA->Write(); h_scReg_DA->Write(); h_scRaw_DA->Write(); for(int i = 0; i < nBins; ++i){ h_EoP_DA[i]->Write(); h_EoP_MC[i]->Write(); h_SortV[i]->Write(); h_SortV_MC[i]->Write(); } pippo.Close(); // /* // // Drawings // TPaveStats** s_EoP = new TPaveStats*[nBins]; // TCanvas *c1[100]; // for(int i = 0; i < nBins; ++i) // { // char canvasName[50]; // sprintf(canvasName, "Fits-%0d", i); // c1[i] = new TCanvas(canvasName, canvasName); // c1[i]->cd(); // h_EoP_DA[i] -> GetXaxis() -> SetTitle("E/p"); // h_EoP_DA[i] -> GetYaxis() -> SetRangeUser(0., std::max(h_EoP_DA[i]->GetMaximum(), h_EoP_MC[i]->GetMaximum()) + 10.); // h_EoP_DA[i] -> GetXaxis() -> SetRangeUser(0.5,1.5); // // h_EoP_DA[i] -> Draw("e"); // h_EoP_DA[i] -> Draw(); // gPad->Update(); // s_EoP[i]= (TPaveStats*)(h_EoP_DA[i]->GetListOfFunctions()->FindObject("stats")); // s_EoP[i]->SetTextColor(kRed+2); // f_EoP[i]->Draw("same"); // h_EoP_MC[i] -> Draw("same"); // char Name[100]; // if(PU == 0) sprintf(Name, (plotFolderName+"/"+folderName+"/noPU_fit_%d_"+string_year+".png").c_str(),i); // if(PU == 1) sprintf(Name, (plotFolderName+"/"+folderName+"/fit_%d_"+string_year+".png").c_str(),i); // c1[i] -> Print(Name,".png"); // } // TCanvas *c2[100]; // for(int i = 0; i < nBins; ++i) // { // char canvasName[50]; // sprintf(canvasName, "Et_DA-%0d", i); // c2[i] = new TCanvas(canvasName, canvasName); // c2[i]->cd(); // h_Et[i]->GetXaxis() -> SetTitle("Et"); // h_Et[i]->GetYaxis()->SetRangeUser(0, std::max(h_Et[i]->GetMaximum(), h_Et_MC[i]->GetMaximum()) + 10. ); // if(i<nBins-1) h_Et[i]->GetXaxis()->SetRangeUser(EtBinEdge.at(i), EtBinEdge.at(i+1)); // else h_Et[i]->GetXaxis()->SetRangeUser(EtBinEdge.at(i), 150.); // // h_Et[i] -> Draw("e"); // h_Et[i]->Draw(); // h_Et_MC[i]->Draw("same"); // /*gPad->Update(); // s_Las[i]= (TPaveStats*)(h_Et[i]->GetListOfFunctions()->FindObject("stats")); // s_Las[i]->SetTextColor(kBlack);*/ // char Name[100]; // if(PU == 0) sprintf(Name, (plotFolderName+"/"+folderName+"/noPU_Et_%d_"+string_year+".png").c_str(),i); // if(PU == 1) sprintf(Name, (plotFolderName+"/"+folderName+"/Et_%d_"+string_year+".png").c_str(),i); // c2[i]->Print(Name,".png"); // } // TCanvas* Et_spectrum = new TCanvas; // gPad->SetLogy(); // // h_Et_allDA->GetYaxis()->SetRangeUser(0.1, 10000.); // h_Et_allDA->GetXaxis()->SetRangeUser(0., 150.); // h_Et_allDA->GetXaxis()->SetTitle("Et "); // h_Et_allDA->SetMarkerColor(kRed+2); // h_Et_allDA->SetMarkerStyle(7); // h_Et_allDA->Draw("e"); // for(int jj = 0; jj < nBins; ++jj){ // h_Et_MC[jj]->GetXaxis()->SetRangeUser(0., 150.); // h_Et_MC[jj]->Draw("same"); // } // TLegend *tspec = new TLegend(0.64,0.80,0.99,0.99); // tspec->SetFillColor(0); // tspec->SetTextFont(42); // tspec->AddEntry(h_Et_allDA,"DATA","PL"); // tspec->AddEntry(h_Et_MC[0],"MC ","PL"); // tspec->Draw(); // Et_spectrum->Print((plotFolderName+"/"+folderName+"/Et_spectrum_"+string_year+".png").c_str(), ".png"); // TCanvas* cVtx = new TCanvas(); // h_Vtx_DA->Draw(); // h_Vtx_MC->SetLineColor(kGreen+2); // h_Vtx_MC->Draw("same"); // cVtx->Print((plotFolderName+"/"+folderName+"/Vtx_"+string_year+".png").c_str(),".png"); // std::sort(y.begin(), y.end()); // std::sort(ey.begin(), ey.end()); // TCanvas* cplot = new TCanvas("gplot", "gplot",100,100,725,500); // cplot->cd(); // std::cout << " sortato range " << std::endl; // TPad *cLeft = new TPad("pad_0","pad_0",0.00,0.00,1.00,1.00); // cLeft->SetLeftMargin(0.17); // cLeft->SetRightMargin(0.025); // cLeft->SetBottomMargin(0.17); // cLeft->Draw(); // float tYoffset = 1.75; // float tXoffset = 1.6; // float labSize = 0.04; // float labSize2 = 0.07; // cLeft->cd(); // cLeft->SetGridx(); // cLeft->SetGridy(); // float x_min = x.at(0)-ex.at(ex.size()-1)-10; // float x_max = x.at(x.size()-1)+ex.at(ex.size()-1)+10; // // float y_min = y.at(0)-ey.at(ey.size()-1)-0.002; // // float y_max = y.at(y.size()-1)+ey.at(ey.size()-1)+0.002; // // float y_min = y.at(0)-ey.at(ey.size()-1)-0.005; // // float y_max = y.at(y.size()-1)+ey.at(ey.size()-1)+0.005; // float y_min = -0.004; // float y_max = 0.014; // // pad settings // TH1F *hPad = (TH1F*)gPad->DrawFrame(0,y_min,130,y_max); // hPad->GetXaxis()->SetTitle("E_{T}"); // hPad->GetYaxis()->SetTitle("E/p_{data}-E/p_{mc}"); // hPad->GetYaxis()->SetTitleOffset(tYoffset); // hPad->GetXaxis()->SetTitleOffset(tXoffset); // hPad->GetXaxis()->SetLabelSize(labSize); // hPad->GetXaxis()->SetTitleSize(labSize); // hPad->GetYaxis()->SetLabelSize(labSize); // hPad->GetYaxis()->SetTitleSize(labSize); // finalGraph->Draw("P"); // cplot->Print((plotFolderName+"/"+folderName+"/EoP_vs_Et_"+string_year+".png").c_str(),".png"); // */ std::cout << " plottato tutto " << std::endl; //std::cout << "CREATI I FILES" << std::endl; return (0); }
int main(int argc, char** argv) { float xtalWidth = 0.01745329; //---- variables for selections float etaMax = 1.44; float r9min = 0.0 ; float r9max = 0.94 ; float bcNmin = 2; float bcNmax = 9999; bool useW = true; bool useZ = false; bool usePUweights = true; bool useOddCry = false; bool useEvenCry = false; //---- output file to save graphs char outfilename[100]; sprintf(outfilename,"GraphsLocalPhi_regression_nBCgt1_lowR9.root"); //---- PU weights for MC TPileupReweighting *puReweighting; if (useW) puReweighting = new TPileupReweighting("../CommonTools/weights/PUweights_2011_0100_73500_WJetsToLL_Fall11_S6.root","hweights"); if (useZ) puReweighting = new TPileupReweighting("../CommonTools/weights/PUweights_2011_0100_73500_DYJetsToLL_Fall11_S6.root","hweights"); //---- NTUPLES TChain *ntu_MC = new TChain("ntu"); TChain *ntu_Data = new TChain("ntu"); //---- MC fall 2011 if (useW) ntu_MC->Add("../NTUPLES/Fall11/WZAnalysis/WZAnalysis_WJetsToLNu_TuneZ2_7TeV-madgraph-tauola_Fall11-PU_S6_START42_V14B-v1.root"); if (useZ) ntu_MC->Add("../NTUPLES/Fall11/WZAnalysis/WZAnalysis_DYJetsToLL_TuneZ2_M-50_7TeV-madgraph-tauola_Fall11-PU_S6_START42_V14B-v1.root"); //---- DATA if (useW){ ntu_Data->Add("../NTUPLES/Run2011A/WZAnalysis/WZAnalysis_SingleElectron_Run2011A-WElectron-May10ReReco-v1_42XReReco_FT_R_42_V21B.root"); ntu_Data->Add("../NTUPLES/Run2011A/WZAnalysis/WZAnalysis_SingleElectron_Run2011A-WElectron-PromptSkim-v4_42XReReco_FT_R_42_V21B.root"); ntu_Data->Add("../NTUPLES/Run2011A/WZAnalysis/WZAnalysis_SingleElectron_Run2011A-WElectron-PromptSkim-v5_42XReReco_FT_R_42_V21B.root"); ntu_Data->Add("../NTUPLES/Run2011A/WZAnalysis/WZAnalysis_SingleElectron_Run2011A-WElectron-PromptSkim-v6_42XReReco_FT_R_42_V21B.root"); ntu_Data->Add("../NTUPLES/Run2011B/WZAnalysis/WZAnalysis_SingleElectron_Run2011B-WElectron-PromptSkim-v1_42XReReco_FT_R_42_V21B.root"); } if (useZ){ ntu_Data->Add("../NTUPLES/Run2011A/WZAnalysis/WZAnalysis_DoubleElectron_Run2011A-ZElectron-May10ReReco-v1_42XReReco_FT_R_42_V21B.root"); ntu_Data->Add("../NTUPLES/Run2011A/WZAnalysis/WZAnalysis_DoubleElectron_Run2011A-ZElectron-PromptSkim-v4_42XReReco_FT_R_42_V21B.root"); ntu_Data->Add("../NTUPLES/Run2011A/WZAnalysis/WZAnalysis_DoubleElectron_Run2011A-ZElectron-PromptSkim-v5_42XReReco_FT_R_42_V21B.root"); ntu_Data->Add("../NTUPLES/Run2011A/WZAnalysis/WZAnalysis_DoubleElectron_Run2011A-ZElectron-PromptSkim-v6_42XReReco_FT_R_42_V21B.root"); ntu_Data->Add("../NTUPLES/Run2011B/WZAnalysis/WZAnalysis_DoubleElectron_Run2011B-ZElectron-PromptSkim-v1_42XReReco_FT_R_42_V21B.root"); } std::cout << " MC : " << ntu_MC->GetEntries() << " entries in MC sample" << std::endl; std::cout << " Data : " << ntu_Data->GetEntries() << " entries in Data sample" << std::endl; //---- observables int npu; float EoP, scEta, scPhi; float scE3x3, scE, scE_regression; float charge, scLocalEta, scLocalPhi,crackCorr,scLocalCorr; int bcN; float R9; //---- Set branch addresses for MC ntu_MC->SetBranchAddress("PUit_NumInteractions", &npu); ntu_MC->SetBranchAddress("ele1_scEta", &scEta); ntu_MC->SetBranchAddress("ele1_scPhi", &scPhi); ntu_MC->SetBranchAddress("ele1_EOverP", &EoP); ntu_MC->SetBranchAddress("ele1_e3x3", &scE3x3); ntu_MC->SetBranchAddress("ele1_scE", &scE); ntu_MC->SetBranchAddress("ele1_scE_regression", &scE_regression); ntu_MC->SetBranchAddress("ele1_charge", &charge); ntu_MC->SetBranchAddress("ele1_scLocalPhi",&scLocalPhi); ntu_MC->SetBranchAddress("ele1_scLocalEta",&scLocalEta); ntu_MC->SetBranchAddress("ele1_scCrackCorr",&crackCorr); ntu_MC->SetBranchAddress("ele1_scLocalContCorr",&scLocalCorr); //---- Set branch addresses for Data ntu_Data->SetBranchAddress("ele1_scEta", &scEta); ntu_Data->SetBranchAddress("ele1_scPhi", &scPhi); ntu_Data->SetBranchAddress("ele1_EOverP", &EoP); ntu_Data->SetBranchAddress("ele1_e3x3", &scE3x3); ntu_Data->SetBranchAddress("ele1_scE", &scE); ntu_Data->SetBranchAddress("ele1_scE_regression", &scE_regression); ntu_Data->SetBranchAddress("ele1_charge", &charge); ntu_Data->SetBranchAddress("ele1_scLocalPhi",&scLocalPhi); ntu_Data->SetBranchAddress("ele1_scLocalEta",&scLocalEta); ntu_Data->SetBranchAddress("ele1_scCrackCorr",&crackCorr); ntu_Data->SetBranchAddress("ele1_scLocalContCorr",&scLocalCorr); ntu_Data->SetBranchAddress("ele1_bcN", &bcN); const unsigned int nBins = 20; const int Ntempl = 4; std::cout << "nBins = " << nBins << std::endl; // histogram definition TH1F* h_EoP_MC[nBins][Ntempl] ; TH1F* h_EoC_MC[nBins][Ntempl] ; TH1F* h_EoP_Data[nBins][Ntempl]; TH1F* h_EoC_Data[nBins][Ntempl] ; for(int mod=0; mod<Ntempl; mod++){ for(unsigned int i = 0; i < nBins; ++i) { char histoName[80]; sprintf(histoName, "EoP_MC_%d_mod%d", i,mod+1); h_EoP_MC[i][mod] = new TH1F(histoName, histoName, 1200, 0., 3.); h_EoP_MC[i][mod] -> SetFillColor(4); h_EoP_MC[i][mod] -> SetFillStyle(3004); sprintf(histoName, "EoC_MC_%d_mod%d", i,mod+1); h_EoC_MC[i][mod] = new TH1F(histoName, histoName, 1200, 0., 3.); h_EoC_MC[i][mod] -> SetFillColor(3); h_EoC_MC[i][mod] -> SetFillStyle(3004); sprintf(histoName, "EoP_Data_%d_mod%d", i,mod+1); h_EoP_Data[i][mod] = new TH1F(histoName, histoName, 1200, 0., 3.); h_EoP_Data[i][mod] -> SetFillColor(4); h_EoP_Data[i][mod] -> SetFillStyle(3004); sprintf(histoName, "EoC_Data_%d_mod%d", i,mod+1); h_EoC_Data[i][mod] = new TH1F(histoName, histoName, 1200, 0., 3.); h_EoC_Data[i][mod] -> SetFillColor(3); h_EoC_Data[i][mod] -> SetFillStyle(3004); } } //---- book templates // [0] --> uncorrected // [1] --> corrected TH1F* h_template_MC[Ntempl][2]; TH1F* h_template_Data[Ntempl][2]; for(unsigned int i = 0; i < Ntempl; ++i){ char histoName[100]; sprintf(histoName, "template_MC_%d", i); h_template_MC[i][0] = new TH1F(histoName, "", 1200, 0., 3.); sprintf(histoName, "template_DATA_%d", i); h_template_Data[i][0] = new TH1F(histoName, "", 1200, 0., 3.); sprintf(histoName, "template_MCcorr_%d", i); h_template_MC[i][1] = new TH1F(histoName, "", 1200, 0., 3.); sprintf(histoName, "template_DATAcorr_%d", i); h_template_Data[i][1] = new TH1F(histoName, "", 1200, 0., 3.); } //****************************************************************************************** //*************************************** MC ********************************************** std::cout << "Loop over MC events ... " << std::endl; float ww = 1 ; //---- loop on MC, make reference and fit dist for(int entry = 0; entry < ntu_MC->GetEntries(); ++entry) { if( entry%200000 == 0 ) std::cout << "reading saved entry " << entry << std::endl; // if (entry>1000) break; ntu_MC->GetEntry(entry); // -- PU weights if (usePUweights) ww = puReweighting->GetWeight(npu); R9 = scE3x3/scE; //-- eta or R9 cuts if ( fabs(scEta) > etaMax ) continue; if ( R9 < r9min || R9 > r9max ) continue; //if ( (scEta*charge)<0 ) continue; if ( bcN < bcNmin || bcN > bcNmax) continue; //-- remove phi cracks float phi = (scPhi+3.1415926536)/xtalWidth; float modphi = (int)phi%20; if (fabs(modphi-10)<2.) continue; //-- use only even/odd crystals (for data) if ( useOddCry && int(modphi)%2 == 0) continue; if ( useEvenCry && int(modphi)%2 != 0) continue; //-- remove gaps float fetaCry = fabs (scEta) / xtalWidth; if( IsEtaGap(fetaCry) ) continue; //-- fill templates for each mod int mod = templIndex(fetaCry); float correction = scE_regression/scE; h_template_MC[mod][0]-> Fill(EoP,ww); h_template_MC[mod][1]-> Fill(EoP*correction,ww); //-- fill MC histos in phi bins float locPhi = scLocalPhi+0.5; if ( fabs(locPhi-0.5) >= 0.5 ) continue; int bin = nBins * locPhi; if (bin>nBins-1 || bin < 0 ) { std::cout << "Error in bins: " << bin << " " << scLocalPhi << std::endl; continue; } h_EoP_MC[bin][mod] -> Fill(EoP,ww); h_EoC_MC[bin][mod] -> Fill(EoP*correction,ww); } //****************************************************************************************** //*************************************** DATA ********************************************** std::cout << "Loop on Data events ... " << std::endl; //---- loop on data for(int entry = 0; entry < ntu_Data->GetEntries(); ++entry) { if( entry%200000 == 0 ) std::cout << "reading saved entry " << entry << std::endl; // if (entry>1000) break; ntu_Data->GetEntry(entry); R9 = scE3x3/scE; //-- eta or R9 cuts if ( fabs(scEta) > etaMax ) continue; if ( R9 < r9min || R9 > r9max ) continue; //if ( (scEta*charge)<0 ) continue; if ( bcN < bcNmin || bcN > bcNmax) continue; //-- remove phi cracks float phi = (scPhi+3.141592653)/xtalWidth; float modphi = (int)phi%20; if (fabs(modphi-10)<2.) continue; //-- use only even/odd crystals (for data) if ( useOddCry && int(modphi)%2 == 0) continue; if ( useEvenCry && int(modphi)%2 != 0) continue; //-- remove eta gaps float fetaCry = fabs (scEta) / xtalWidth; if( IsEtaGap(fetaCry) ) continue; //-- fill template for each mod int mod = templIndex(fetaCry); float correction = scE_regression/scE; h_template_Data[mod][0]-> Fill(EoP); h_template_Data[mod][1]-> Fill(EoP*correction); //-- fill data histos in phi bins float locPhi = scLocalPhi + 0.5; if ( fabs(locPhi-0.5) >= 0.5 ) continue; int bin = nBins * (locPhi); if (bin>nBins-1 || bin < 0 ) { std::cout << "Error in bins: " << bin << " " << scLocalPhi << std::endl; continue; } h_EoP_Data[bin][mod] -> Fill(EoP); h_EoC_Data[bin][mod] -> Fill(EoP*correction); } ///////////////****************** Fit the histograms and fill the graphs *************** //////////////////////// int rebin = 4; TGraphErrors* g_EoP_MC[Ntempl]; TGraphErrors* g_EoC_MC[Ntempl]; TGraphErrors* g_ratio_MC[Ntempl]; TGraphErrors* g_EoP_Data[Ntempl]; TGraphErrors* g_EoC_Data[Ntempl]; TGraphErrors* g_ratio_Data[Ntempl]; TGraphErrors* g_ratio_uncorr[Ntempl]; TGraphErrors* g_ratio_corr[Ntempl]; TH1F* spread_EoP_MC[Ntempl]; TH1F* spread_EoC_MC[Ntempl]; TH1F* spread_EoP_Data[Ntempl]; TH1F* spread_EoC_Data[Ntempl]; for (int mod=0; mod<4; mod++){ char histoName[100]; sprintf(histoName, "gEoP_MC_mod%d", mod+1); g_EoP_MC[mod] = new TGraphErrors(); g_EoP_MC[mod]->SetName(histoName); sprintf(histoName, "gEoC_MC_mod%d", mod+1); g_EoC_MC[mod] = new TGraphErrors(); g_EoC_MC[mod]->SetName(histoName); sprintf(histoName, "gRatio_MC_mod%d", mod+1); g_ratio_MC[mod] = new TGraphErrors(); g_ratio_MC[mod]->SetName(histoName); sprintf(histoName, "gEoP_Data_mod%d", mod+1); g_EoP_Data[mod] = new TGraphErrors(); g_EoP_Data[mod]->SetName(histoName); sprintf(histoName, "gEoC_Data_mod%d", mod+1); g_EoC_Data[mod] = new TGraphErrors(); g_EoC_Data[mod]->SetName(histoName); sprintf(histoName, "gRatio_Data_mod%d", mod+1); g_ratio_Data[mod] = new TGraphErrors(); g_ratio_Data[mod]->SetName(histoName); sprintf(histoName, "gRatio_uncorr_mod%d", mod+1); g_ratio_uncorr[mod] = new TGraphErrors(); g_ratio_uncorr[mod]->SetName(histoName); sprintf(histoName, "gRatio_corr_mod%d", mod+1); g_ratio_corr[mod] = new TGraphErrors(); g_ratio_corr[mod]->SetName(histoName); sprintf(histoName, "spreadEoP_MC_mod%d", mod+1); spread_EoP_MC[mod] = new TH1F(histoName, histoName,200,0.9,1.1); sprintf(histoName, "spreadEoC_MC_mod%d", mod+1); spread_EoC_MC[mod] = new TH1F(histoName, histoName,200,0.9,1.1); sprintf(histoName, "spreadEoP_Data_mod%d", mod+1); spread_EoP_Data[mod] = new TH1F(histoName, histoName,200,0.9,1.1); sprintf(histoName, "spreadEoC_Data_mod%d", mod+1); spread_EoC_Data[mod] = new TH1F(histoName, histoName,200,0.9,1.1); } //************************************* FITTING ***************************************************// for(int mod=0;mod<4;mod++){ //--- define func template histoFunc *templateHistoFuncMC[2]; histoFunc *templateHistoFuncData[2]; for (int ll = 0; ll < 2; ll++){ if (mod<3) { h_template_MC[mod][ll] -> Rebin(rebin); h_template_Data[mod][ll] -> Rebin(rebin); } else { h_template_MC[mod][ll] -> Rebin(rebin*2); h_template_Data[mod][ll] -> Rebin(rebin*2); } templateHistoFuncMC[ll] = new histoFunc(h_template_MC[mod][ll]); templateHistoFuncData[ll] = new histoFunc(h_template_Data[mod][ll]); } // loop over bins for(unsigned int i = 0; i < nBins; ++i) { std::cout << "***** Fitting : mod: " <<mod <<" bin: "<< i << std::endl; if (mod < 3){ h_EoP_MC[i][mod] -> Rebin(rebin); h_EoC_MC[i][mod] -> Rebin(rebin); h_EoP_Data[i][mod] -> Rebin(rebin); h_EoC_Data[i][mod] -> Rebin(rebin); } else { h_EoP_MC[i][mod] -> Rebin(rebin*2); h_EoC_MC[i][mod] -> Rebin(rebin*2); h_EoP_Data[i][mod] -> Rebin(rebin*2); h_EoC_Data[i][mod] -> Rebin(rebin*2); } //************************ MC **************************************************************** TF1 * templateFuncMC = new TF1("templateFuncMC", templateHistoFuncMC[0], 0.7, 1.3, 3, "histoFunc"); templateFuncMC -> SetNpx(10000); float xval = (i+0.5)*1/(float)nBins - 0.5; //--- uncorrected MC double xNorm = h_EoP_MC[i][mod]->Integral()/h_template_MC[mod][0]->Integral() * h_EoP_MC[i][mod]->GetBinWidth(1)/h_template_MC[mod][0]->GetBinWidth(1); templateFuncMC -> FixParameter(0, xNorm); templateFuncMC -> SetParameter(1, 1.05 ); templateFuncMC -> FixParameter(2, 0.); h_EoP_MC[i][mod] -> Fit("templateFuncMC", "MRQLN+"); g_EoP_MC[mod] -> SetPoint(i, xval , 1./templateFuncMC->GetParameter(1)); g_EoP_MC[mod] -> SetPointError(i, 0., templateFuncMC->GetParError(1)); spread_EoP_MC[mod] -> Fill(1./templateFuncMC->GetParameter(1)); // if ( templateFuncMC->GetParError(1) < 0.003) g_EoP -> SetPointError(i, 0., 0.003); // cout << " ***** " << 1./templateFuncMC->GetParameter(1) << " " << templateFuncMC->GetParError(1) << endl; float scaleMC = 1./templateFuncMC->GetParameter(1); float escaleMC = templateFuncMC->GetParError(1)/scaleMC/scaleMC; //--- corrected MC templateFuncMC = new TF1("templateFuncMC", templateHistoFuncMC[1], 0.7, 1.3, 3, "histoFunc"); templateFuncMC -> SetNpx(10000); xNorm = h_EoC_MC[i][mod]->Integral()/h_template_MC[mod][1]->Integral() * h_EoC_MC[i][mod]->GetBinWidth(1)/h_template_MC[mod][1]->GetBinWidth(1); templateFuncMC -> FixParameter(0, xNorm); templateFuncMC -> SetParameter(1, 1.05 ); templateFuncMC -> FixParameter(2, 0.); h_EoC_MC[i][mod] -> Fit("templateFuncMC", "MRQLN+"); g_EoC_MC[mod] -> SetPoint(i, xval , 1./templateFuncMC->GetParameter(1)); g_EoC_MC[mod] -> SetPointError(i, 0., templateFuncMC->GetParError(1)); spread_EoC_MC[mod] -> Fill(1./templateFuncMC->GetParameter(1)); float scaleMCcorr = 1./templateFuncMC->GetParameter(1); float escaleMCcorr = templateFuncMC->GetParError(1)/scaleMCcorr/scaleMCcorr; //************************ DATA ********************************************** TF1 * templateFuncData = new TF1("templateFuncData", templateHistoFuncData[0], 0.7, 1.3, 3, "histoFunc"); templateFuncData -> SetNpx(10000); //--- uncorrected Data xNorm = h_EoP_Data[i][mod]->Integral()/h_template_Data[mod][0]->Integral() * h_EoP_Data[i][mod]->GetBinWidth(1)/h_template_Data[mod][0]->GetBinWidth(1); templateFuncData -> FixParameter(0, xNorm); templateFuncData -> SetParameter(1, 1.05 ); templateFuncData -> FixParameter(2, 0.); h_EoP_Data[i][mod] -> Fit("templateFuncData", "MRQLN+"); g_EoP_Data[mod] -> SetPoint(i, xval , 1./templateFuncData->GetParameter(1)); g_EoP_Data[mod] -> SetPointError(i, 0., templateFuncData->GetParError(1)); spread_EoP_Data[mod] -> Fill(1./templateFuncData->GetParameter(1)); // if ( templateFuncData->GetParError(1) < 0.003) g_EoP -> SetPointError(i, 0., 0.003); // cout << " ***** " << 1./templateFuncData->GetParameter(1) << " " << templateFuncData->GetParError(1) << endl; float scaleDA = 1./templateFuncData->GetParameter(1); float escaleDA = templateFuncData->GetParError(1)/scaleDA/scaleDA; //--- corrected Data templateFuncData = new TF1("templateFuncData", templateHistoFuncData[1], 0.7, 1.3, 3, "histoFunc"); templateFuncData -> SetNpx(10000); xNorm = h_EoC_Data[i][mod]->Integral()/h_template_Data[mod][1]->Integral() * h_EoC_Data[i][mod]->GetBinWidth(1)/h_template_Data[mod][1]->GetBinWidth(1); templateFuncData -> FixParameter(0, xNorm); templateFuncData -> SetParameter(1, 1.05 ); templateFuncData -> FixParameter(2, 0.); h_EoC_Data[i][mod] -> Fit("templateFuncData", "SNQR+"); g_EoC_Data[mod] -> SetPoint(i, xval, 1./templateFuncData->GetParameter(1)); g_EoC_Data[mod] -> SetPointError(i, 0., templateFuncData->GetParError(1)); spread_EoC_Data[mod] -> Fill(1./templateFuncData->GetParameter(1)); float scaleDAcorr = 1./templateFuncData->GetParameter(1); float escaleDAcorr = templateFuncData->GetParError(1)/scaleDAcorr/scaleDAcorr; //--- ratio finalization MC corr/uncorr float ratioMC = scaleMCcorr/scaleMC; float eratioMC = ratioMC*sqrt(pow(escaleMC/scaleMC,2) + pow(escaleMCcorr/scaleMCcorr,2)); g_ratio_MC[mod] -> SetPoint(i, xval , ratioMC); g_ratio_MC[mod] -> SetPointError(i, 0., eratioMC); //--- ratio finalization DATA corr/uncorr float ratioDA = scaleDAcorr/scaleDA; float eratioDA = ratioDA*sqrt(pow(escaleDA/scaleDA,2) + pow(escaleDAcorr/scaleDAcorr,2)); g_ratio_Data[mod] -> SetPoint(i, xval, ratioDA); g_ratio_Data[mod] -> SetPointError(i, 0., eratioDA); //--- ratio finalization data/MC uncorrected float ratioU = scaleDA/scaleMC; float eratioU = ratioU*sqrt(pow(escaleMC/scaleMC,2) + pow(escaleDA/scaleDA,2)); g_ratio_uncorr[mod] -> SetPoint(i, xval , ratioU); g_ratio_uncorr[mod] -> SetPointError(i, 0., eratioU); //--- ratio finalization data/MC corrected float ratioC = scaleDAcorr/scaleMCcorr; float eratioC = ratioC*sqrt(pow(escaleMCcorr/scaleMCcorr,2) + pow(escaleDAcorr/scaleDAcorr,2)); g_ratio_corr[mod] -> SetPoint(i, xval , ratioC); g_ratio_corr[mod] -> SetPointError(i, 0., eratioC); } } TFile fout(outfilename,"recreate"); for(int mod=0;mod<4;mod++) { g_EoP_MC[mod]->Write(); g_EoC_MC[mod]->Write(); g_EoP_Data[mod]->Write(); g_EoC_Data[mod]->Write(); g_ratio_MC[mod]->Write(); g_ratio_Data[mod]->Write(); g_ratio_uncorr[mod]->Write(); g_ratio_corr[mod]->Write(); spread_EoP_MC[mod]->Write(); spread_EoC_MC[mod]->Write(); spread_EoP_Data[mod]->Write(); spread_EoC_Data[mod]->Write(); } fout.Close(); }