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doFit_class_higgs.py
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doFit_class_higgs.py
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#! /Usr/bin/env python
import os
import glob
import math
import array
import ROOT
import ntpath
import sys
import subprocess
from subprocess import Popen
from optparse import OptionParser
from ROOT import gROOT, TPaveLabel, gStyle, gSystem, TGaxis, TStyle, TLatex, TString, TF1,TFile,TLine, TLegend, TH1D,TH2D,THStack,TChain, TCanvas, TMatrixDSym, TMath, TText, TPad, RooFit, RooArgSet, RooArgList, RooArgSet, RooAbsData, RooAbsPdf, RooAddPdf, RooWorkspace, RooExtendPdf,RooCBShape, RooLandau, RooFFTConvPdf, RooGaussian, RooBifurGauss, RooArgusBG,RooDataSet,RooExponential,RooBreitWigner, RooVoigtian, RooNovosibirsk, RooRealVar,RooFormulaVar, RooDataHist, RooHistPdf,RooCategory, RooChebychev, RooSimultaneous, RooGenericPdf,RooConstVar, RooKeysPdf, RooHistPdf, RooEffProd, RooProdPdf, RooChi2Var, TIter, kTRUE, kFALSE, kGray, kRed, kDashed, kGreen,kAzure, kOrange, kBlack,kBlue,kYellow,kCyan, kMagenta, kWhite, TGraph, RooMCStudy
############################################
# Job steering #
############################################
parser = OptionParser()
##### basic options ###########
parser.add_option('-b', '--noPlots',action='store_true', dest='noX', default=False, help='no X11 windows')
parser.add_option('--check', action='store_true', dest='check', default=False, help='check the workspace for limit setting')
parser.add_option('-s', '--simple', action='store_true', dest='simple', default=False, help='pre-limit in simple mode')
parser.add_option('-m', '--multi', action='store_true', dest='multi', default=True, help='pre-limit in multi mode')
#### additional information: channel. jet bin, signal properties
parser.add_option('-p', '--psmodel', action="store", type="string", dest="psmodel", default="pythia")
parser.add_option('-a', '--additioninformation', action="store", type="string", dest="additioninformation", default="HIGGS")
parser.add_option('-c', '--channel', action="store", type="string", dest="channel", default="mu")
parser.add_option('-i', '--inPath', action="store", type="string", dest="inPath", default="./")
parser.add_option('--cprime', action="store", type="int", dest="cprime", default=10)
parser.add_option('--BRnew', action="store", type="int", dest="BRnew", default=0)
parser.add_option('--closuretest', action='store', type="int", dest='closuretest', default=0, help='closure test; 0: no test; 1: A1->A2; 2: A->B')
parser.add_option('--pseudodata', action='store', type="int", dest='pseudodata', default=1, help='pseudodata 0 -> use real data, else use stack of MC backgrounds')
parser.add_option('--fitSignal', action='store', type="int", dest='fitsignal', default=0, help='fit only signal lineshape with a chosen model')
parser.add_option('--category', action="store", type="string", dest="category", default="HP")
parser.add_option('--jetBin', action="store", type="string", dest="jetBin", default="")
parser.add_option('--skipJetSystematics', action="store", type="int", dest="skipJetSystematics", default=0)
parser.add_option('--interferenceModel', action="store", type="string", dest="interferenceModel", default="3")
(options, args) = parser.parse_args()
ROOT.gSystem.Load(options.inPath+"/PlotStyle/Util_cxx.so")
ROOT.gSystem.Load(options.inPath+"/PlotStyle/PlotUtils_cxx.so")
ROOT.gSystem.Load(options.inPath+"/PDFs/PdfDiagonalizer_cc.so")
ROOT.gSystem.Load(options.inPath+"/PDFs/HWWLVJRooPdfs_cxx.so")
ROOT.gSystem.Load(options.inPath+"/PDFs/MakePdf_cxx.so")
ROOT.gSystem.Load(options.inPath+"/BiasStudy/BiasUtils_cxx.so")
ROOT.gSystem.Load(options.inPath+"/FitUtils/FitUtils_cxx.so")
from ROOT import draw_error_band, draw_error_band_extendPdf, draw_error_band_Decor, draw_error_band_shape_Decor, Calc_error_extendPdf, Calc_error, RooErfExpPdf, RooAlpha, RooAlpha4ErfPowPdf, RooAlpha4ErfPow2Pdf, RooAlpha4ErfPowExpPdf, PdfDiagonalizer, RooPowPdf, RooPow2Pdf, RooErfPowExpPdf, RooErfPowPdf, RooErfPow2Pdf, RooQCDPdf, RooUser1Pdf, RooBWRunPdf, RooAnaExpNPdf,RooExpNPdf, RooAlpha4ExpNPdf, RooExpTailPdf, RooAlpha4ExpTailPdf, Roo2ExpPdf, RooAlpha42ExpPdf
from ROOT import MakeGeneralPdf, MakeExtendedModel, get_TTbar_mj_Model, get_STop_mj_Model, get_VV_mj_Model, get_WW_EWK_mj_Model, get_WJets_mj_Model, get_ggH_mj_Model, get_vbfH_mj_Model, get_TTbar_mlvj_Model, get_STop_mlvj_Model, get_VV_mlvj_Model, get_WW_EWK_mlvj_Model, get_WJets_mlvj_Model, get_ggH_mlvj_Model, get_vbfH_mlvj_Model, fix_Model, clone_Model
from ROOT import setTDRStyle, get_pull, draw_canvas, draw_canvas_with_pull, legend4Plot, GetDataPoissonInterval, GetLumi, draw_error_band_ws
from ROOT import fit_mj_single_MC, fit_mlvj_model_single_MC, fit_WJetsNormalization_in_Mj_signal_region, fit_mlvj_in_Mj_sideband, get_WJets_mlvj_correction_sb_lo_to_signal_region, get_mlvj_normalization_insignalregion, fit_genHMass, SystematicUncertaintyHiggs_2jetBin, SystematicUncertaintyHiggs_01jetBin
from ROOT import *
gInterpreter.GenerateDictionary("std::map<std::string,std::string>", "map;string;string")
###############################
## doFit Class Implemetation ##
###############################
class doFit_wj_and_wlvj:
def __init__(self, in_channel,in_higgs_sample, in_mlvj_signal_region_min=500, in_mlvj_signal_region_max=700, in_mj_min=30, in_mj_max=140, in_mlvj_min=400., in_mlvj_max=1400., fit_model="ErfExp_v1", fit_model_alter="ErfPow_v1", input_workspace=None):
RooAbsPdf.defaultIntegratorConfig().setEpsRel(1e-9) ;
RooAbsPdf.defaultIntegratorConfig().setEpsAbs(1e-9) ;
### shapes to be used in mj
self.mj_shape = ROOT.std.map(ROOT.std.string,ROOT.std.string) () ;
self.mj_shape["TTbar"] = "2Gaus_ErfExp";
self.mj_shape["VV"] = "2_2Gaus";
self.mj_shape["WW_EWK"] = "2_2Gaus";
if options.jetBin == "_2jet": self.mj_shape["STop"] = "ErfExp";
else: self.mj_shape["STop"] = "ErfExpGaus_sp";
if options.jetBin == "_2jet":
self.mj_shape["WJets0"] = "ErfExp";
self.mj_shape["WJets1"] = "ErfExp";
self.mj_shape["WJets01"] = "User1";
else:
self.mj_shape["WJets0"] = "User1";
self.mj_shape["WJets1"] = "User1";
self.mj_shape["WJets01"] = "ErfExp";
self.mlvj_shape = ROOT.std.map(ROOT.std.string,ROOT.std.string) () ;
self.mlvj_shape["TTbar"] = fit_model;
self.mlvj_shape["VV"] = fit_model;
self.mlvj_shape["WW_EWK"] = fit_model;
self.mlvj_shape["STop"] = fit_model;
self.mlvj_shape["WJets0"] = fit_model;
self.mlvj_shape["WJets1"] = fit_model;
self.mlvj_shape["WJets01"] = fit_model_alter;
self.mlvj_shape["ggH"] = "CB_v1";
self.mlvj_shape["vbfH"] = "SCB_Exp_v1";
self.tmpFile = TFile("tmp2.root","RECREATE");
self.tmpFile.cd();
### set the channel type --> electron or muon
self.channel = in_channel;
self.higgs_sample = in_higgs_sample;
if in_higgs_sample == "ggH600": self.vbfhiggs_sample = "vbfH600";
if in_higgs_sample == "ggH700": self.vbfhiggs_sample = "vbfH700";
if in_higgs_sample == "ggH800": self.vbfhiggs_sample = "vbfH800";
if in_higgs_sample == "ggH900": self.vbfhiggs_sample = "vbfH900";
if in_higgs_sample == "ggH1000": self.vbfhiggs_sample = "vbfH1000";
if in_higgs_sample == "ggH1500": self.vbfhiggs_sample = "vbfH1500";
if in_higgs_sample == "ggH2000": self.vbfhiggs_sample = "vbfH2000";
print "########################################################################################"
print "######## define class: binning, variables, cuts, files and nuissance parameters ########"
print "########################################################################################"
### Set the mj binning for plots
self.BinWidth_mj = 5.;
## set the model used for the background parametrization
self.MODEL_4_mlvj = fit_model;
self.MODEL_4_mlvj_alter = fit_model_alter;
### Set the binning for mlvj plots as a function of the model
if not options.fitsignal:
if self.MODEL_4_mlvj == "ErfPowExp_v1" or self.MODEL_4_mlvj == "ErfPow2_v1" or self.MODEL_4_mlvj == "ErfExp_v1":
self.BinWidth_mlvj = 35.;
else:
self.BinWidth_mlvj = 50.;
else:
if self.MODEL_4_mlvj == "ErfPowExp_v1" or self.MODEL_4_mlvj == "ErfPow2_v1" or self.MODEL_4_mlvj == "ErfExp_v1":
self.BinWidth_mlvj = 10.;
else:
self.BinWidth_mlvj = 10.;
#narrow the BinWidth_mj and BinWidth_mlvj by a factor of 5. Because Higgs-Combination-Tools will generate a binned sample, so need the bin width narrow. So, as a easy solution, we will increase the bin-width by a factor of 5 when ploting m_j m_WW
self.leg = TLegend();
self.narrow_factor = 10;
## correct the binning of mj
self.BinWidth_mj = self.BinWidth_mj;
self.nbins_mj = int((in_mj_max-in_mj_min)/self.BinWidth_mj);
in_mj_max = in_mj_min+self.nbins_mj*self.BinWidth_mj;
## correct the binning of mlvj
self.BinWidth_mlvj = self.BinWidth_mlvj;
self.nbins_mlvj = int((in_mlvj_max-in_mlvj_min)/self.BinWidth_mlvj);
in_mlvj_max = in_mlvj_min+self.nbins_mlvj*self.BinWidth_mlvj;
## define jet mass variable
rrv_mass_j = RooRealVar("rrv_mass_j","pruned m_{J}",(in_mj_min+in_mj_max)/2.,in_mj_min,in_mj_max,"GeV");
rrv_mass_j.setBins(self.nbins_mj);
## define invariant mass WW variable
rrv_mass_lvj = RooRealVar("rrv_mass_lvj","m_{WW}",(in_mlvj_min+in_mlvj_max)/2.,in_mlvj_min,in_mlvj_max,"GeV");
rrv_mass_lvj.setBins(self.nbins_mlvj);
## generator higgs mass
rrv_mass_gen_WW = RooRealVar("rrv_mass_gen_WW","gen_m_{WW}",(in_mlvj_min+in_mlvj_max)/2.,in_mlvj_min,in_mlvj_max,"GeV");
rrv_mass_gen_WW.setBins(self.nbins_mlvj);
## create the workspace and import them
if input_workspace is None:
self.workspace4fit_ = RooWorkspace("workspace4fit_","workspace4fit_");
else:
self.workspace4fit_ = input_workspace;
getattr(self.workspace4fit_,"import")(rrv_mass_j);
getattr(self.workspace4fit_,"import")(rrv_mass_lvj);
getattr(self.workspace4fit_,"import")(rrv_mass_gen_WW);
#prepare workspace for unbin-Limit -> just fo the stuff on which running the limit
self.workspace4limit_ = RooWorkspace("workspace4limit_","workspace4limit_");
## different code operation mode -> just normal analysis
if options.closuretest == 0:
self.mj_sideband_lo_min = in_mj_min;
self.mj_sideband_lo_max = 65;
self.mj_signal_min = 65;
self.mj_signal_max = 105;
self.mj_sideband_hi_min = 105;
self.mj_sideband_hi_max = in_mj_max;
if options.closuretest == 1: ##closure test A1->A2
self.mj_sideband_lo_min = in_mj_min;
self.mj_sideband_lo_max = 55;
self.mj_signal_min = 55;
self.mj_signal_max = 65;
self.mj_sideband_hi_min = 105;
self.mj_sideband_hi_max = in_mj_max;
if options.closuretest == 2: #closure test A->B
self.mj_sideband_lo_min = in_mj_min;
self.mj_sideband_lo_max = 65;
self.mj_signal_min = 100;
self.mj_signal_max = 115;
self.mj_sideband_hi_min = 115;
self.mj_sideband_hi_max = in_mj_max;
## zone definition in the jet mass
rrv_mass_j.setRange("sb_lo",self.mj_sideband_lo_min,self.mj_sideband_lo_max);
rrv_mass_j.setRange("signal_region",self.mj_signal_min,self.mj_signal_max);
rrv_mass_j.setRange("sb_hi",self.mj_sideband_hi_min,self.mj_sideband_hi_max);
rrv_mass_j.setRange("sblo_to_sbhi",self.mj_sideband_lo_min,self.mj_sideband_hi_max);
## signal region definition in the mlvj variable in case of counting limit
self.mlvj_signal_min = in_mlvj_signal_region_min
self.mlvj_signal_max = in_mlvj_signal_region_max
rrv_mass_lvj.setRange("signal_region",self.mlvj_signal_min,self.mlvj_signal_max);
#prepare the data and mc files --> set the working directory and the files name
self.file_Directory = "./trainingtrees_%s/"%(self.channel);
self.PS_model = options.psmodel;
if options.pseudodata == 1:
self.file_data = ("ofile_pseudodata.root");
else:
self.file_data = ("ofile_data.root");
self.file_ggH = ("ofile_%s.root"%(self.higgs_sample));
self.file_vbfH = ("ofile_%s.root"%(self.vbfhiggs_sample));
#WJets0 is the default PS model, WJets1 is the alternative PS model
if self.PS_model == "pythia":
if options.jetBin == "_2jet" :
self.file_WJets0_mc = ("ofile_WJets_exclusive_Pythia.root");
self.file_WJets1_mc = ("ofile_WJets_Herwig.root");
else:
self.file_WJets1_mc = ("ofile_WJets_Pythia100.root");
self.file_WJets0_mc = ("ofile_WJets_Herwig.root");
else:
if options.jetBin == "_2jet" :
self.file_WJets0_mc = ("ofile_WJets_Herwig.root");
self.file_WJets1_mc = ("ofile_WJets_exclusive_Pythia.root");
else:
self.file_WJets0_mc = ("ofile_WJets_Herwig.root");
self.file_WJets1_mc = ("ofile_WJets_Pythia100.root");
self.file_VV_mc = ("ofile_VV.root");# WW+WZ
self.file_WW_EWK_mc = ("ofile_WW2jet_phantom.root");# WW_EWK
self.file_STop_mc = ("ofile_STop.root");#STop
self.file_TTbar_mc = ("ofile_TTbar_Powheg.root");
self.file_TTbar_matchDn_mc = ("ofile_TTbar_matchDn.root");
self.file_TTbar_matchUp_mc = ("ofile_TTbar_matchUp.root");
self.file_TTbar_scaleDn_mc = ("ofile_TTbar_scaleDn.root");
self.file_TTbar_scaleUp_mc = ("ofile_TTbar_scaleUp.root");
self.file_TTbar_mcanlo_mc = ("ofile_TTbar_mcanlo.root");
self.PS_model= options.psmodel
## event categorization as a function of the purity and the applied selection
self.wtagger_label = options.category;
if self.wtagger_label=="HP" :
if self.channel=="el":
self.wtagger_cut=0.5 ; self.wtagger_cut_min=0. ;
if self.channel=="mu":
self.wtagger_cut=0.5 ; self.wtagger_cut_min=0. ;
if self.channel=="em":
self.wtagger_cut=0.5 ; self.wtagger_cut_min=0. ;
if self.wtagger_label=="LP":
self.wtagger_cut=0.75 ;
self.wtagger_cut_min=0.5 ;
if self.wtagger_label=="nocut":
self.wtagger_cut=10000;
#medium wtagger_eff reweight between data and mc #Wtagger_forV SF have be add to ntuple weight;
if self.channel=="mu" and self.wtagger_label=="HP":
if options.pseudodata == 1:
self.rrv_wtagger_eff_reweight_forT = RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT",1.);
self.rrv_wtagger_eff_reweight_forT.setError(0.06);
self.rrv_wtagger_eff_reweight_forV = RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",1.);
self.rrv_wtagger_eff_reweight_forV.setError(0.097*self.rrv_wtagger_eff_reweight_forV.getVal());
elif options.pseudodata == 0 and options.jetBin == "_2jet":
self.rrv_wtagger_eff_reweight_forT = RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT",1.128);
self.rrv_wtagger_eff_reweight_forT.setError(0.338);
self.rrv_wtagger_eff_reweight_forV = RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",0.93);
self.rrv_wtagger_eff_reweight_forV.setError(0.097*self.rrv_wtagger_eff_reweight_forV.getVal());
elif options.pseudodata == 0 and not options.jetBin == "_2jet":
self.rrv_wtagger_eff_reweight_forT = RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT",0.96);
self.rrv_wtagger_eff_reweight_forT.setError(0.06*self.rrv_wtagger_eff_reweight_forT.getVal());
self.rrv_wtagger_eff_reweight_forV = RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",0.93);
self.rrv_wtagger_eff_reweight_forV.setError(0.097*self.rrv_wtagger_eff_reweight_forV.getVal());
if self.channel=="el" and self.wtagger_label=="HP":
if options.pseudodata == 1:
self.rrv_wtagger_eff_reweight_forT = RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT",1.);
self.rrv_wtagger_eff_reweight_forT.setError(0.08);
self.rrv_wtagger_eff_reweight_forV = RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",1.);
self.rrv_wtagger_eff_reweight_forV.setError(0.097*self.rrv_wtagger_eff_reweight_forV.getVal());
elif options.pseudodata == 0 and options.jetBin == "_2jet":
self.rrv_wtagger_eff_reweight_forT = RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT",0.96);
self.rrv_wtagger_eff_reweight_forT.setError(0.369);
self.rrv_wtagger_eff_reweight_forV = RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",0.93);
self.rrv_wtagger_eff_reweight_forV.setError(0.097*self.rrv_wtagger_eff_reweight_forV.getVal());
elif options.pseudodata == 0 and not options.jetBin == "_2jet":
self.rrv_wtagger_eff_reweight_forT = RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT",0.89);
self.rrv_wtagger_eff_reweight_forT.setError(0.06*self.rrv_wtagger_eff_reweight_forT.getVal());
self.rrv_wtagger_eff_reweight_forV = RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",0.87);
self.rrv_wtagger_eff_reweight_forV.setError(0.097*self.rrv_wtagger_eff_reweight_forV.getVal());
if self.channel=="em" and self.wtagger_label=="HP":
if options.pseudodata == 1:
self.rrv_wtagger_eff_reweight_forT=RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT", 1.0);
self.rrv_wtagger_eff_reweight_forT.setError(0.265);
self.rrv_wtagger_eff_reweight_forV=RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",1.0);
self.rrv_wtagger_eff_reweight_forV.setError(0.097*self.rrv_wtagger_eff_reweight_forV.getVal());
elif options.pseudodata ==0 and options.jetBin == "_2jet":
self.rrv_wtagger_eff_reweight_forT = RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT", 1.);
self.rrv_wtagger_eff_reweight_forT.setError(0.265);
self.rrv_wtagger_eff_reweight_forV = RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",0.93);
self.rrv_wtagger_eff_reweight_forV.setError(0.097*self.rrv_wtagger_eff_reweight_forV.getVal());
print "wtagger efficiency correction for Top sample: %s +/- %s"%(self.rrv_wtagger_eff_reweight_forT.getVal(), self.rrv_wtagger_eff_reweight_forT.getError());
print "wtagger efficiency correction for V sample: %s +/- %s"%(self.rrv_wtagger_eff_reweight_forV.getVal(), self.rrv_wtagger_eff_reweight_forV.getError());
#result files: The event number, parameters and error write into a txt file. The dataset and pdfs write into a root file
if not os.path.isdir("cards_%s_%s"%(self.channel,self.mlvj_shape["WJets0"])): os.system("mkdir cards_%s_%s"%(self.channel,self.mlvj_shape["WJets0"]));
self.rlt_DIR = "cards_%s_%s/"%(self.channel,self.mlvj_shape["WJets0"]);
if options.jetBin == "_2jet" :
self.file_rlt_txt = self.rlt_DIR+"other_hwwlvj_%s_%s%s_%02d_%02d.txt"%(self.higgs_sample,self.channel,options.jetBin,options.cprime,options.BRnew)
self.file_rlt_root = self.rlt_DIR+"hwwlvj_%s_%s%s_%02d_%02d_workspace.root"%(self.higgs_sample,self.channel,options.jetBin,options.cprime,options.BRnew)
self.file_datacard_unbin_ggHvbfH = self.rlt_DIR+"hwwlvj_%s_%s%s_%02d_%02d_unbin.txt"%(self.higgs_sample,self.channel,options.jetBin,options.cprime,options.BRnew)
self.file_datacard_unbin_ggH = self.rlt_DIR+"hwwlvj_%s_%s%s_ggH_%02d_%02d_unbin.txt"%(self.higgs_sample,self.channel,options.jetBin,options.cprime,options.BRnew)
self.file_datacard_unbin_vbfH = self.rlt_DIR+"hwwlvj_%s_%s%s_vbfH_%02d_%02d_unbin.txt"%(self.higgs_sample,self.channel,options.jetBin,options.cprime,options.BRnew)
self.file_datacard_counting_ggHvbfH = self.rlt_DIR+"hwwlvj_%s_%s%s_%02d_%02d_counting.txt"%(self.higgs_sample,self.channel,options.jetBin,options.cprime,options.BRnew)
self.file_datacard_counting_ggH = self.rlt_DIR+"hwwlvj_%s_%s%s_ggH_%02d_%02d_counting.txt"%(self.higgs_sample,self.channel,options.jetBin,options.cprime,options.BRnew)
self.file_datacard_counting_vbfH = self.rlt_DIR+"hwwlvj_%s_%s%s_vbfH_%02d_%02d_counting.txt"%(self.higgs_sample,self.channel,options.jetBin,options.cprime,options.BRnew)
else:
self.file_rlt_txt = self.rlt_DIR+"other_hwwlvj_%s_%s_%02d_%02d.txt"%(self.higgs_sample,self.channel,options.cprime,options.BRnew)
self.file_rlt_root = self.rlt_DIR+"hwwlvj_%s_%s_%02d_%02d_workspace.root"%(self.higgs_sample,self.channel,options.cprime,options.BRnew)
self.file_datacard_unbin_ggHvbfH = self.rlt_DIR+"hwwlvj_%s_%s_%02d_%02d_unbin.txt"%(self.higgs_sample,self.channel,options.cprime,options.BRnew)
self.file_datacard_unbin_ggH = self.rlt_DIR+"hwwlvj_%s_%s_ggH_%02d_%02d_unbin.txt"%(self.higgs_sample,self.channel,options.cprime,options.BRnew)
self.file_datacard_unbin_vbfH = self.rlt_DIR+"hwwlvj_%s_%s_vbfH_%02d_%02d_unbin.txt"%(self.higgs_sample,self.channel,options.cprime,options.BRnew)
self.file_datacard_counting_ggHvbfH = self.rlt_DIR+"hwwlvj_%s_%s_%02d_%02d_counting.txt"%(self.higgs_sample,self.channel,options.cprime,options.BRnew)
self.file_datacard_counting_ggH = self.rlt_DIR+"hwwlvj_%s_%s_ggH_%02d_%02d_counting.txt"%(self.higgs_sample,self.channel,options.cprime,options.BRnew)
self.file_datacard_counting_vbfH = self.rlt_DIR+"hwwlvj_%s_%s_vbfH_%02d_%02d_counting.txt"%(self.higgs_sample,self.channel,options.cprime,options.BRnew)
self.file_out = open(self.file_rlt_txt,"w");
self.file_out.write("Welcome:\n");
self.file_out.close()
self.file_out = open(self.file_rlt_txt,"a+");
self.higgs_xs_scale=1.0; #higgs XS scale
## color palette
self.color_palet = ROOT.std.map(ROOT.std.string, int) () ;
self.color_palet["data"] = 1;
self.color_palet["WJets"] = 2;
self.color_palet["VV"] = 4;
self.color_palet["WW_EWK"] = 6;
self.color_palet["STop"] = 7;
self.color_palet["TTbar"] = 210;
self.color_palet["ggH"] = 1;
self.color_palet["vbfH"] = 12;
self.color_palet["Signal"] = 1;
self.color_palet["Uncertainty"] = 1;
self.color_palet["Other_Backgrounds"] = 1;
self.Lumi = 19297;
if self.channel=="el":
self.Lumi = 19166;
#met cut:el 70; mu: 50
self.pfMET_cut = 50;
self.lpt_cut = 30;
self.vpt_cut = 200;
self.bcut = 0.679;
if self.channel=="el":
self.pfMET_cut = 50;
self.lpt_cut = 35;
#deltaPhi_METj cut
self.deltaPhi_METj_cut = 2.0;
self.top_veto_had = 200 ;
self.top_veto_lep = 200 ;
self.top_veto_had_min = 0 ;
self.top_veto_lep_min = 0 ;
self.dEta_cut = 3.0 ;
self.Mjj_cut = 250 ;
# parameters of data-driven method to get the WJets background event number.
self.number_WJets_insideband = -1;
self.datadriven_alpha_WJets_unbin = -1;
self.datadriven_alpha_WJets_counting = -1;
#uncertainty for datacard
self.lumi_uncertainty = 0.026;
self.XS_STop_uncertainty = 0.30 ;
self.XS_VV_uncertainty = 0.20 ;
self.XS_WW_EWK_uncertainty = 0.20 ;
self.XS_TTbar_uncertainty = 0.07 ;
self.XS_TTbar_NLO_uncertainty = 0.063 ;# from AN-12-368 table8
self.XS_STop_NLO_uncertainty = 0.05 ; # from AN-12-368 table8
self.XS_VV_NLO_uncertainty = 0.10 ; # from AN-12-368 table8
### jet binning uncertainty
if options.jetBin == "_2jet":
self.QCDscale_ggH0in = 0.000;
self.QCDscale_ggH2in = 0.190;
else:
self.QCDscale_ggH0in = 0.260;
self.QCDscale_ggH2in = -0.060;
self.QCDscale_qqH = 0.0;
self.pdf_gg = 0.0;
self.pdf_qqbar = 0.0;
self.QCDscale_ggH_ACCEPT = 0.0;
self.QCDscale_qqH_ACCEPT = 0.0;
# from twiki https:#twiki.cern.ch/twiki/bin/view/LHCPhysics/CERNYellowReportPageAt8TeV,
if self.higgs_sample == "ggH600":
self.QCDscale_qqH = 0.007 ;
self.pdf_gg = 0.091 ;
self.pdf_qqbar = 0.050 ;
self.QCDscale_ggH_ACCEPT = 0.036 ;
self.QCDscale_qqH_ACCEPT = 0.007 ;
elif self.higgs_sample == "ggH700":
self.QCDscale_qqH = 0.008;
self.pdf_gg = 0.101;
self.pdf_qqbar = 0.042
self.QCDscale_ggH_ACCEPT = 0.038;
self.QCDscale_qqH_ACCEPT = 0.008
elif self.higgs_sample == "ggH800":
self.QCDscale_qqH = 0.010;
self.pdf_gg = 0.106;
self.pdf_qqbar = 0.047;
self.QCDscale_ggH_ACCEPT = 0.040;
self.QCDscale_qqH_ACCEPT = 0.009
elif self.higgs_sample == "ggH900":
self.QCDscale_qqH = 0.012
self.pdf_gg = 0.111;
self.pdf_qqbar = 0.053
self.QCDscale_ggH_ACCEPT = 0.042;
self.QCDscale_qqH_ACCEPT = 0.010
elif self.higgs_sample == "ggH1000":
self.QCDscale_qqH = 0.013;
self.pdf_gg = 0.121;
self.pdf_qqbar = 0.059;
self.QCDscale_ggH_ACCEPT = 0.046;
self.QCDscale_qqH_ACCEPT = 0.011
### interference effect
self.interference_ggH_uncertainty = 0.10;
self.interference_vbfH_uncertainty = 0.25;
#normalization uncertainty from jet scale
self.WJets_normalization_uncertainty_from_jet_scale = 0.;
self.VV_normalization_uncertainty_from_jet_scale = 0.;
self.WW_EWK_normalization_uncertainty_from_jet_scale = 0.;
self.STop_normalization_uncertainty_from_jet_scale = 0.;
self.TTbar_normalization_uncertainty_from_jet_scale = 0.;
self.ggH_normalization_uncertainty_from_jet_scale = 0.;
self.vbf_normalization_uncertainty_from_jet_scale = 0.;
#normalization uncertainty from jet_res
self.WJets_normalization_uncertainty_from_jet_res = 0.;
self.VV_normalization_uncertainty_from_jet_res = 0.;
self.WW_EWK_normalization_uncertainty_from_jet_res = 0.;
self.STop_normalization_uncertainty_from_jet_res = 0.;
self.TTbar_normalization_uncertainty_from_jet_res = 0.;
self.ggH_normalization_uncertainty_from_jet_res = 0.;
self.vbf_normalization_uncertainty_from_jet_res = 0.;
#normalization uncertainty from lep scale
if self.channel == "mu":
self.WJets_normalization_uncertainty_from_lep_scale = 1.000;
self.VV_normalization_uncertainty_from_lep_scale = 1.083;
self.WW_EWK_normalization_uncertainty_from_lep_scale = 1.008;
self.STop_normalization_uncertainty_from_lep_scale = 1.000;
self.TTbar_normalization_uncertainty_from_lep_scale = 1.008;
self.ggH_normalization_uncertainty_from_lep_scale = 1.028;
self.vbf_normalization_uncertainty_from_lep_scale = 1.015;
elif self.channel == "el":
self.WJets_normalization_uncertainty_from_lep_scale = 1.000;
self.VV_normalization_uncertainty_from_lep_scale = 1.068;
self.WW_EWK_normalization_uncertainty_from_lep_scale = 1.006;
self.STop_normalization_uncertainty_from_lep_scale = 1.000;
self.TTbar_normalization_uncertainty_from_lep_scale = 1.000;
self.ggH_normalization_uncertainty_from_lep_scale = 1.014;
self.vbf_normalization_uncertainty_from_lep_scale = 1.004;
elif self.channel == "em":
self.WJets_normalization_uncertainty_from_lep_scale = 1.000;
self.VV_normalization_uncertainty_from_lep_scale = 1.075;
self.WW_EWK_normalization_uncertainty_from_lep_scale = 1.007;
self.STop_normalization_uncertainty_from_lep_scale = 1.000;
self.TTbar_normalization_uncertainty_from_lep_scale = 1.004;
self.ggH_normalization_uncertainty_from_lep_scale = 1.021;
self.vbf_normalization_uncertainty_from_lep_scale = 1.010;
#normalization uncertainty from lep_res
if self.channel == "mu":
self.WJets_normalization_uncertainty_from_lep_res = 1.000;
self.VV_normalization_uncertainty_from_lep_res = 1.016;
self.WW_EWK_normalization_uncertainty_from_lep_res = 1.000;
self.STop_normalization_uncertainty_from_lep_res = 1.000;
self.TTbar_normalization_uncertainty_from_lep_res = 1.000;
self.ggH_normalization_uncertainty_from_lep_res = 1.001;
self.vbf_normalization_uncertainty_from_lep_res = 1.000;
elif self.channel == "el":
self.WJets_normalization_uncertainty_from_lep_res = 1.000;
self.VV_normalization_uncertainty_from_lep_res = 1.000;
self.WW_EWK_normalization_uncertainty_from_lep_res = 1.000;
self.STop_normalization_uncertainty_from_lep_res = 1.000;
self.TTbar_normalization_uncertainty_from_lep_res = 1.000;
self.ggH_normalization_uncertainty_from_lep_res = 1.015;
self.vbf_normalization_uncertainty_from_lep_res = 1.001;
elif self.channel == "em":
self.WJets_normalization_uncertainty_from_lep_res = 1.000;
self.VV_normalization_uncertainty_from_lep_res = 1.008;
self.WW_EWK_normalization_uncertainty_from_lep_res = 1.000;
self.STop_normalization_uncertainty_from_lep_res = 1.000;
self.TTbar_normalization_uncertainty_from_lep_res = 1.000;
self.ggH_normalization_uncertainty_from_lep_res = 1.008;
self.vbf_normalization_uncertainty_from_lep_res = 1.001;
#normalization uncertainty from btag
self.WJets_normalization_uncertainty_from_btag = 1.000;
self.VV_normalization_uncertainty_from_btag = 1.006;
self.WW_EWK_normalization_uncertainty_from_btag = 1.007;
self.STop_normalization_uncertainty_from_btag = 1.033;
self.TTbar_normalization_uncertainty_from_btag = 1.017;
self.ggH_normalization_uncertainty_from_btag = 1.005;
self.vbf_normalization_uncertainty_from_btag = 1.002;
#el and mu trigger and eff uncertainty, AN2012_368_v5 12.3
self.lep_trigger_uncertainty = 0.01;
self.lep_eff_uncertainty = 0.02;
#### increase shape uncertainty
self.shape_para_error_WJets0 = 2.0;
self.shape_para_error_TTbar = 2.0;
if self.higgs_sample == "ggH600" or self.higgs_sample == "ggH700":
self.shape_para_error_alpha = 2.0;
else:
self.shape_para_error_alpha = 2.0;
# shape parameter uncertainty
self.FloatingParams = RooArgList("floatpara_list");
self.FloatingParams_wjet = RooArgList("floatpara_list_wjet");
### set the TDR Style
setTDRStyle();
#### method to fit the WJets normalization inside the mj signal region -> and write the jets mass sys if available
def fit_WJetsNorm(self, scaleJetMass = 0.): # to get the normalization of WJets in signal_region
print "############### Fit mj Normalization ##################"
## fit the two version of pdf for Wjets shape if available
fit_WJetsNormalization_in_Mj_signal_region(self.workspace4fit_,self.color_palet,self.mj_shape,"_WJets0","",self.mj_shape["WJets0"],self.channel,self.wtagger_label,0,options.pseudodata,self.mj_signal_min,self.mj_signal_max,options.jetBin); ## fit jet mass distribution
self.workspace4fit_.writeToFile(self.tmpFile.GetName());
fit_WJetsNormalization_in_Mj_signal_region(self.workspace4fit_,self.color_palet,self.mj_shape,"_WJets01","",self.mj_shape["WJets01"],self.channel,self.wtagger_label,0,options.pseudodata,self.mj_signal_min,self.mj_signal_max,options.jetBin); ## fit jet mass distribution
self.workspace4fit_.writeToFile(self.tmpFile.GetName());
if not options.jetBin == "_2jet":
fit_WJetsNormalization_in_Mj_signal_region(self.workspace4fit_,self.color_palet,self.mj_shape,"_WJets1","",self.mj_shape["WJets1"],self.channel,self.wtagger_label,0,options.pseudodata,self.mj_signal_min,self.mj_signal_max,options.jetBin); ## fit jet mass distribution
self.workspace4fit_.writeToFile(self.tmpFile.GetName());
rrv_WJets0 = self.workspace4fit_.var("rrv_number_WJets0_in_mj_signal_region_from_fitting_%s"%(self.channel)); ## nominal parametrization for Wjets
rrv_WJets01 = self.workspace4fit_.var("rrv_number_WJets01_in_mj_signal_region_from_fitting_%s"%(self.channel)); ## alternate descrption
if not options.jetBin == "_2jet": rrv_WJets1 = self.workspace4fit_.var("rrv_number_WJets1_in_mj_signal_region_from_fitting_%s"%(self.channel));
rrv_WJets0.Print();
rrv_WJets01.Print();
if not options.jetBin == "_2jet": rrv_WJets1.Print();
if options.jetBin == "_2jet":
total_uncertainty = TMath.Sqrt(TMath.Power(rrv_WJets0.getError(),2)+TMath.Power(rrv_WJets01.getVal()-rrv_WJets0.getVal(),2)); ## add in quadrature the difference
else:
total_uncertainty = TMath.Sqrt(TMath.Power(rrv_WJets0.getError(),2)+TMath.Power(rrv_WJets01.getVal()-rrv_WJets0.getVal(),2)+TMath.Power(rrv_WJets1.getVal()-rrv_WJets0.getVal(),2)); ## add in quadrature the difference
rrv_WJets0.setError(total_uncertainty);
rrv_WJets0.Print();
print "Total Uncertainty in WJtes0 due to fit and shape: uncertainty ",total_uncertainty/rrv_WJets0.getVal();
#uncertainty due to the VBF interference
rrv_vbf = self.workspace4fit_.var("rrv_number_dataset_signal_region_%s_%s_mj"%(self.vbfhiggs_sample,self.channel))
rrv_vbfmassvbf_int_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_int_up_%s_mj"%(self.vbfhiggs_sample,self.channel))
rrv_vbfmassvbf_int_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_int_dn_%s_mj"%(self.vbfhiggs_sample,self.channel))
rrv_vbf.Print();
rrv_vbfmassvbf_int_up.Print();
rrv_vbfmassvbf_int_dn.Print();
self.interference_vbfH_uncertainty = ((TMath.Abs(rrv_vbfmassvbf_int_up.getVal()-rrv_vbf.getVal())+TMath.Abs(rrv_vbfmassvbf_int_dn.getVal()-rrv_vbf.getVal() ) )/2.)/rrv_vbf.getVal();
print "Total Uncertainty on vbfH due to interference: uncertainty ",self.interference_vbfH_uncertainty;
if scaleJetMass :
fit_WJetsNormalization_in_Mj_signal_region(self.workspace4fit_,self.color_palet,self.mj_shape,"_WJets0massvbf_jes_up","massvbf_jes_up",self.mj_shape["WJets0"],self.channel,self.wtagger_label,0,options.pseudodata,self.mj_signal_min,self.mj_signal_max,options.jetBin); ## fit jet mass distribution
self.workspace4fit_.writeToFile(self.tmpFile.GetName());
fit_WJetsNormalization_in_Mj_signal_region(self.workspace4fit_,self.color_palet,self.mj_shape,"_WJets0massvbf_jes_dn","massvbf_jes_dn",self.mj_shape["WJets0"],self.channel,self.wtagger_label,0,options.pseudodata,self.mj_signal_min,self.mj_signal_max,options.jetBin); ## fit jet mass distribution
self.workspace4fit_.writeToFile(self.tmpFile.GetName());
fit_WJetsNormalization_in_Mj_signal_region(self.workspace4fit_,self.color_palet,self.mj_shape,"_WJets0massvbf_jer","massvbf_jer",self.mj_shape["WJets0"],self.channel,self.wtagger_label,0,options.pseudodata,self.mj_signal_min,self.mj_signal_max,options.jetBin); ## fit jet mass distribution
self.workspace4fit_.writeToFile(self.tmpFile.GetName());
fit_WJetsNormalization_in_Mj_signal_region(self.workspace4fit_,self.color_palet,self.mj_shape,"_WJets0massvbf_jer_up","massvbf_jer_up",self.mj_shape["WJets0"],self.channel,self.wtagger_label,0,options.pseudodata,self.mj_signal_min,self.mj_signal_max,options.jetBin); ## fit jet mass distribution
self.workspace4fit_.writeToFile(self.tmpFile.GetName());
fit_WJetsNormalization_in_Mj_signal_region(self.workspace4fit_,self.color_palet,self.mj_shape,"_WJets0massvbf_jer_dn","massvbf_jer_dn",self.mj_shape["WJets0"],self.channel,self.wtagger_label,0,options.pseudodata,self.mj_signal_min,self.mj_signal_max,options.jetBin); ## fit jet mass distribution
self.workspace4fit_.writeToFile(self.tmpFile.GetName());
rrv_WJetsmassvbf_jes_up = self.workspace4fit_.var("rrv_number_WJets0massvbf_jes_up_in_mj_signal_region_from_fitting_%s"%(self.channel));
rrv_WJetsmassvbf_jes_dn = self.workspace4fit_.var("rrv_number_WJets0massvbf_jes_dn_in_mj_signal_region_from_fitting_%s"%(self.channel));
rrv_WJetsmassvbf_jer = self.workspace4fit_.var("rrv_number_WJets0massvbf_jer_in_mj_signal_region_from_fitting_%s"%(self.channel));
rrv_WJetsmassvbf_jer_up = self.workspace4fit_.var("rrv_number_WJets0massvbf_jer_up_in_mj_signal_region_from_fitting_%s"%(self.channel));
rrv_WJetsmassvbf_jer_dn = self.workspace4fit_.var("rrv_number_WJets0massvbf_jer_dn_in_mj_signal_region_from_fitting_%s"%(self.channel));
print "######################### wjets scale and resolution effect " ;
rrv_WJetsmassvbf_jes_up.Print();
rrv_WJetsmassvbf_jes_dn.Print();
rrv_WJetsmassvbf_jer.Print();
rrv_WJetsmassvbf_jer_up.Print();
rrv_WJetsmassvbf_jer_dn.Print();
#jet mass uncertainty on WJets normalization
if(self.workspace4fit_.var("rrv_number_WJets0massvbf_jes_up_in_mj_signal_region_from_fitting_%s"%(self.channel)) and self.workspace4fit_.var("rrv_number_WJets0massvbf_jes_dn_in_mj_signal_region_from_fitting_%s"%(self.channel)) and self.workspace4fit_.var("rrv_number_WJets0massvbf_jer_in_mj_signal_region_from_fitting_%s"%(self.channel)) and self.workspace4fit_.var("rrv_number_WJets0massvbf_jer_up_in_mj_signal_region_from_fitting_%s"%(self.channel)) and self.workspace4fit_.var("rrv_number_WJets0massvbf_jer_dn_in_mj_signal_region_from_fitting_%s"%(self.channel))):
self.WJets_normalization_uncertainty_from_jet_scale = ((TMath.Abs(rrv_WJetsmassvbf_jes_up.getVal()-rrv_WJets0.getVal())+TMath.Abs(rrv_WJetsmassvbf_jes_dn.getVal()-rrv_WJets0.getVal() ) )/2.)/rrv_WJets0.getVal();
print "Total Uncertainty on WJtes0 due to jes: relaxed uncertainty ",self.WJets_normalization_uncertainty_from_jet_scale;
self.WJets_normalization_uncertainty_from_jet_res = ((TMath.Abs(rrv_WJetsmassvbf_jer.getVal()-rrv_WJets0.getVal())+TMath.Abs(rrv_WJetsmassvbf_jer_up.getVal()-rrv_WJets0.getVal() )+TMath.Abs(rrv_WJetsmassvbf_jer_dn.getVal()-rrv_WJets0.getVal() ) )/3.)/rrv_WJets0.getVal();
print "Total Uncertainty on WJtes0 due to jes: relaxed uncertainty ",self.WJets_normalization_uncertainty_from_jet_res;
#jet mass uncertainty on sTop normalization
rrv_STop = self.workspace4fit_.var("rrv_number_dataset_signal_region_STop_%s_mj"%(self.channel))
rrv_STopmassvbf_jes_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_STopmassvbf_jes_up_%s_mj"%(self.channel))
rrv_STopmassvbf_jes_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_STopmassvbf_jes_dn_%s_mj"%(self.channel))
rrv_STopmassvbf_jer = self.workspace4fit_.var("rrv_number_dataset_signal_region_STopmassvbf_jer_%s_mj"%(self.channel))
rrv_STopmassvbf_jer_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_STopmassvbf_jer_up_%s_mj"%(self.channel))
rrv_STopmassvbf_jer_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_STopmassvbf_jer_dn_%s_mj"%(self.channel))
rrv_STop.Print();
rrv_STopmassvbf_jes_up.Print();
rrv_STopmassvbf_jes_dn.Print();
rrv_STopmassvbf_jer.Print();
rrv_STopmassvbf_jer_up.Print();
rrv_STopmassvbf_jer_dn.Print();
#jet mass uncertainty on STop normalization
if(self.workspace4fit_.var("rrv_number_dataset_signal_region_STopmassvbf_jes_up_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_STopmassvbf_jes_dn_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_STopmassvbf_jer_up_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_STopmassvbf_jer_dn_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_STopmassvbf_jer_%s_mj"%(self.channel))):
self.STop_normalization_uncertainty_from_jet_scale = ((TMath.Abs(rrv_STopmassvbf_jes_up.getVal()-rrv_STop.getVal())+TMath.Abs(rrv_STopmassvbf_jes_dn.getVal()-rrv_STop.getVal() ) )/2.)/rrv_STop.getVal();
print "Total Uncertainty on STop due to jes: uncertainty ",self.STop_normalization_uncertainty_from_jet_scale;
self.STop_normalization_uncertainty_from_jet_res = ((TMath.Abs(rrv_STopmassvbf_jer.getVal()-rrv_STop.getVal())+TMath.Abs(rrv_STopmassvbf_jer_up.getVal()-rrv_STop.getVal() )+TMath.Abs(rrv_STopmassvbf_jer_dn.getVal()-rrv_STop.getVal() ) )/3.)/rrv_STop.getVal();
print "Total Uncertainty on STop due to jer: uncertainty ",self.STop_normalization_uncertainty_from_jet_res;
#jet mass uncertainty on TTbar normalization
rrv_TTbar = self.workspace4fit_.var("rrv_number_dataset_signal_region_TTbar_%s_mj"%(self.channel))
rrv_TTbarmassvbf_jes_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_TTbarmassvbf_jes_up_%s_mj"%(self.channel))
rrv_TTbarmassvbf_jes_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_TTbarmassvbf_jes_dn_%s_mj"%(self.channel))
rrv_TTbarmassvbf_jer = self.workspace4fit_.var("rrv_number_dataset_signal_region_TTbarmassvbf_jer_%s_mj"%(self.channel))
rrv_TTbarmassvbf_jer_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_TTbarmassvbf_jer_up_%s_mj"%(self.channel))
rrv_TTbarmassvbf_jer_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_TTbarmassvbf_jer_dn_%s_mj"%(self.channel))
rrv_TTbar.Print();
rrv_TTbarmassvbf_jes_up.Print();
rrv_TTbarmassvbf_jes_dn.Print();
rrv_TTbarmassvbf_jer.Print();
rrv_TTbarmassvbf_jer_up.Print();
rrv_TTbarmassvbf_jer_dn.Print();
#jet mass uncertainty on TTbar normalization
if(self.workspace4fit_.var("rrv_number_dataset_signal_region_TTbarmassvbf_jes_up_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_TTbarmassvbf_jes_dn_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_TTbarmassvbf_jer_up_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_TTbarmassvbf_jer_dn_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_TTbarmassvbf_jer_%s_mj"%(self.channel))):
self.TTbar_normalization_uncertainty_from_jet_scale = ((TMath.Abs(rrv_TTbarmassvbf_jes_up.getVal()-rrv_TTbar.getVal())+TMath.Abs(rrv_TTbarmassvbf_jes_dn.getVal()-rrv_TTbar.getVal() ) )/2.)/rrv_TTbar.getVal();
print "Total Uncertainty on TTbar due to jes: uncertainty ",self.TTbar_normalization_uncertainty_from_jet_scale;
self.TTbar_normalization_uncertainty_from_jet_res = ((TMath.Abs(rrv_TTbarmassvbf_jer.getVal()-rrv_TTbar.getVal())+TMath.Abs(rrv_TTbarmassvbf_jer_up.getVal()-rrv_TTbar.getVal() )+TMath.Abs(rrv_TTbarmassvbf_jer_dn.getVal()-rrv_TTbar.getVal() ) )/3.)/rrv_TTbar.getVal();
print "Total Uncertainty on TTbar due to jer: uncertainty ",self.TTbar_normalization_uncertainty_from_jet_res;
#jet mass uncertainty on VV normalization
rrv_VV = self.workspace4fit_.var("rrv_number_dataset_signal_region_VV_%s_mj"%(self.channel))
rrv_VVmassvbf_jes_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_VVmassvbf_jes_up_%s_mj"%(self.channel))
rrv_VVmassvbf_jes_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_VVmassvbf_jes_dn_%s_mj"%(self.channel))
rrv_VVmassvbf_jer = self.workspace4fit_.var("rrv_number_dataset_signal_region_VVmassvbf_jer_%s_mj"%(self.channel))
rrv_VVmassvbf_jer_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_VVmassvbf_jer_up_%s_mj"%(self.channel))
rrv_VVmassvbf_jer_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_VVmassvbf_jer_dn_%s_mj"%(self.channel))
rrv_VV.Print();
rrv_VVmassvbf_jes_up.Print();
rrv_VVmassvbf_jes_dn.Print();
rrv_VVmassvbf_jer_up.Print();
rrv_VVmassvbf_jer_dn.Print();
rrv_VVmassvbf_jer.Print();
#jet mass uncertainty on VV normalization
if(self.workspace4fit_.var("rrv_number_dataset_signal_region_VVmassvbf_jes_up_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_VVmassvbf_jes_dn_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_VVmassvbf_jer_up_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_VVmassvbf_jer_dn_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_VVmassvbf_jer_%s_mj"%(self.channel))):
self.VV_normalization_uncertainty_from_jet_scale = ((TMath.Abs(rrv_VVmassvbf_jes_up.getVal()-rrv_VV.getVal())+TMath.Abs(rrv_VVmassvbf_jes_dn.getVal()-rrv_VV.getVal() ) )/2.)/rrv_VV.getVal();
print "Total Uncertainty on VV due to jes: uncertainty ",self.VV_normalization_uncertainty_from_jet_scale;
self.VV_normalization_uncertainty_from_jet_res = ((TMath.Abs(rrv_VVmassvbf_jer_up.getVal()-rrv_VV.getVal())+TMath.Abs(rrv_VVmassvbf_jer_dn.getVal()-rrv_VV.getVal() )+TMath.Abs(rrv_VVmassvbf_jer.getVal()-rrv_VV.getVal() ) )/3.)/rrv_VV.getVal();
print "Total Uncertainty on VV due to jer: uncertainty ",self.VV_normalization_uncertainty_from_jet_res;
#jet mass uncertainty on WW_EWK normalization
if options.jetBin == "_2jet" :
rrv_WW_EWK = self.workspace4fit_.var("rrv_number_dataset_signal_region_WW_EWK_%s_mj"%(self.channel))
rrv_WW_EWKmassvbf_jes_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_WW_EWKmassvbf_jes_up_%s_mj"%(self.channel))
rrv_WW_EWKmassvbf_jes_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_WW_EWKmassvbf_jes_dn_%s_mj"%(self.channel))
rrv_WW_EWKmassvbf_jer = self.workspace4fit_.var("rrv_number_dataset_signal_region_WW_EWKmassvbf_jer_%s_mj"%(self.channel))
rrv_WW_EWKmassvbf_jer_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_WW_EWKmassvbf_jer_up_%s_mj"%(self.channel))
rrv_WW_EWKmassvbf_jer_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_WW_EWKmassvbf_jer_dn_%s_mj"%(self.channel))
rrv_WW_EWK.Print();
rrv_WW_EWKmassvbf_jes_up.Print();
rrv_WW_EWKmassvbf_jes_dn.Print();
rrv_WW_EWKmassvbf_jer_up.Print();
rrv_WW_EWKmassvbf_jer_dn.Print();
rrv_WW_EWKmassvbf_jer.Print();
#jet mass uncertainty on WW_EWK normalization
if(self.workspace4fit_.var("rrv_number_dataset_signal_region_WW_EWKmassvbf_jes_up_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_WW_EWKmassvbf_jes_dn_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_WW_EWKmassvbf_jer_up_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_WW_EWKmassvbf_jer_dn_%s_mj"%(self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_WW_EWKmassvbf_jer_%s_mj"%(self.channel))):
self.WW_EWK_normalization_uncertainty_from_jet_scale = ((TMath.Abs(rrv_WW_EWKmassvbf_jes_up.getVal()-rrv_WW_EWK.getVal())+TMath.Abs(rrv_WW_EWKmassvbf_jes_dn.getVal()-rrv_WW_EWK.getVal() ) )/2.)/rrv_WW_EWK.getVal();
print "Total Uncertainty on WW_EWK due to jes: uncertainty ",self.WW_EWK_normalization_uncertainty_from_jet_scale;
self.WW_EWK_normalization_uncertainty_from_jet_res = ((TMath.Abs(rrv_WW_EWKmassvbf_jer_up.getVal()-rrv_WW_EWK.getVal())+TMath.Abs(rrv_WW_EWKmassvbf_jer_dn.getVal()-rrv_WW_EWK.getVal() )+TMath.Abs(rrv_WW_EWKmassvbf_jer.getVal()-rrv_WW_EWK.getVal() ) )/3.)/rrv_WW_EWK.getVal();
print "Total Uncertainty on WW_EWK due to jer: uncertainty ",self.WW_EWK_normalization_uncertainty_from_jet_res;
#jet mass uncertainty on ggH normalization
rrv_ggH = self.workspace4fit_.var("rrv_number_dataset_signal_region_%s_%s_mj"%(self.higgs_sample,self.channel))
rrv_ggHmassvbf_jes_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jes_up_%s_mj"%(self.higgs_sample,self.channel))
rrv_ggHmassvbf_jes_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jes_dn_%s_mj"%(self.higgs_sample,self.channel))
rrv_ggHmassvbf_jer = self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jer_%s_mj"%(self.higgs_sample,self.channel))
rrv_ggHmassvbf_jer_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jer_up_%s_mj"%(self.higgs_sample,self.channel))
rrv_ggHmassvbf_jer_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jer_dn_%s_mj"%(self.higgs_sample,self.channel))
rrv_ggH.Print();
rrv_ggHmassvbf_jes_up.Print();
rrv_ggHmassvbf_jes_dn.Print();
rrv_ggHmassvbf_jer.Print();
rrv_ggHmassvbf_jer_up.Print();
rrv_ggHmassvbf_jer_dn.Print();
#jet mass uncertainty on ggH normalization
if(self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jes_up_%s_mj"%(self.higgs_sample,self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jes_up_%s_mj"%(self.higgs_sample,self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jer_up_%s_mj"%(self.higgs_sample,self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jes_dn_%s_mj"%(self.higgs_sample,self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jer_%s_mj"%(self.higgs_sample,self.channel))):
self.ggH_normalization_uncertainty_from_jet_scale = ((TMath.Abs(rrv_ggHmassvbf_jes_up.getVal()-rrv_ggH.getVal())+TMath.Abs(rrv_ggHmassvbf_jes_dn.getVal()-rrv_ggH.getVal() ) )/2.)/rrv_ggH.getVal();
print "Total Uncertainty on ggH due to jes: uncertainty ",self.ggH_normalization_uncertainty_from_jet_scale;
self.ggH_normalization_uncertainty_from_jet_res = ((TMath.Abs(rrv_ggHmassvbf_jer_up.getVal()-rrv_ggH.getVal())+TMath.Abs(rrv_ggHmassvbf_jer_dn.getVal()-rrv_ggH.getVal() )+TMath.Abs(rrv_ggHmassvbf_jer.getVal()-rrv_ggH.getVal() ) )/3.)/rrv_ggH.getVal();
print "Total Uncertainty on ggH due to jer: uncertainty ",self.ggH_normalization_uncertainty_from_jet_res;
#jet mass uncertainty on vbf normalizatio
rrv_vbfmassvbf_jes_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jes_up_%s_mj"%(self.vbfhiggs_sample,self.channel))
rrv_vbfmassvbf_jes_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jes_dn_%s_mj"%(self.vbfhiggs_sample,self.channel))
rrv_vbfmassvbf_jer_up = self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jer_up_%s_mj"%(self.vbfhiggs_sample,self.channel))
rrv_vbfmassvbf_jer_dn = self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jer_dn_%s_mj"%(self.vbfhiggs_sample,self.channel))
rrv_vbfmassvbf_jer = self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jer_%s_mj"%(self.vbfhiggs_sample,self.channel))
rrv_vbfmassvbf_jes_up.Print();
rrv_vbfmassvbf_jes_dn.Print();
rrv_vbfmassvbf_jer_up.Print();
rrv_vbfmassvbf_jer_dn.Print();
rrv_vbfmassvbf_jer.Print();
#jet mass uncertainty on vbf normalization
if(self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jes_up_%s_mj"%(self.vbfhiggs_sample,self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jes_dn_%s_mj"%(self.vbfhiggs_sample,self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jer_up_%s_mj"%(self.vbfhiggs_sample,self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jer_dn_%s_mj"%(self.vbfhiggs_sample,self.channel)) and self.workspace4fit_.var("rrv_number_dataset_signal_region_%smassvbf_jer_%s_mj"%(self.vbfhiggs_sample,self.channel))):
self.vbf_normalization_uncertainty_from_jet_scale = ((TMath.Abs(rrv_vbfmassvbf_jes_up.getVal()-rrv_vbf.getVal())+TMath.Abs(rrv_vbfmassvbf_jes_dn.getVal()-rrv_vbf.getVal() ) )/2.)/rrv_vbf.getVal();
print "Total Uncertainty on vbfH due to jes: uncertainty ",self.vbf_normalization_uncertainty_from_jet_scale;
self.vbf_normalization_uncertainty_from_jet_res = ((TMath.Abs(rrv_vbfmassvbf_jer_up.getVal()-rrv_vbf.getVal())+TMath.Abs(rrv_vbfmassvbf_jer_dn.getVal()-rrv_vbf.getVal() )+TMath.Abs(rrv_vbfmassvbf_jer.getVal()-rrv_vbf.getVal() ) )/3.)/rrv_vbf.getVal();
print "Total Uncertainty on vbfH due to jer: uncertainty ",self.vbf_normalization_uncertainty_from_jet_res;
##### Method used to cycle on the events and for the dataset to be fitted
def get_mj_and_mlvj_dataset(self,in_file_name, label, jet_mass="jet_mass_pr"):# to get the shape of m_lvj
# read in tree
fileIn_name = TString(self.file_Directory+in_file_name);
fileIn = TFile(fileIn_name.Data());
treeIn = fileIn.Get("otree");
rrv_mass_j = self.workspace4fit_.var("rrv_mass_j")
rrv_mass_lvj = self.workspace4fit_.var("rrv_mass_lvj")
rrv_mass_gen_WW = self.workspace4fit_.var("rrv_mass_gen_WW")
rrv_weight = RooRealVar("rrv_weight","rrv_weight",0. ,10000000.)
# dataset of m_j -> before and after vbf cuts -> central object value
rdataset_mj = RooDataSet("rdataset"+label+"_"+self.channel+"_mj","rdataset"+label+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_mj = RooDataSet("rdataset4fit"+label+"_"+self.channel+"_mj","rdataset4fit"+label+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
if TString(label).Contains("ggH") or TString(label).Contains("vbfH"):
rdataset4fit_m_WW_gen = RooDataSet("rdataset4fit"+label+"_genHMass_"+self.channel,"rdataset4fit"+label+"_genHMass_"+self.channel,RooArgSet(rrv_mass_gen_WW,rrv_weight),RooFit.WeightVar(rrv_weight));
if TString(label).Contains("vbfH") or TString(label).Contains("ggH"):
rdataset_signal_region_mlvj_int_up = RooDataSet("rdataset"+label+"massvbf_int_up"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_int_up"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_signal_region_mlvj_int_dn = RooDataSet("rdataset"+label+"massvbf_int_dn"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_int_dn"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_signal_region_mlvj_int_up = RooDataSet("rdataset4fit"+label+"massvbf_int_up"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_int_up"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_signal_region_mlvj_int_dn = RooDataSet("rdataset4fit"+label+"massvbf_int_dn"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_int_dn"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_mj_int_up = RooDataSet("rdataset"+label+"massvbf_int_up"+"_"+self.channel+"_mj","rdataset"+label+"massvbf_int_up"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_mj_int_up = RooDataSet("rdataset4fit"+label+"massvbf_int_up"+"_"+self.channel+"_mj","rdataset4fit"+label+"massvbf_int_up"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_mj_int_dn = RooDataSet("rdataset"+label+"massvbf_int_dn"+"_"+self.channel+"_mj","rdataset"+label+"massvbf_int_dn"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_mj_int_dn = RooDataSet("rdataset4fit"+label+"massvbf_int_dn"+"_"+self.channel+"_mj","rdataset4fit"+label+"massvbf_int_dn"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
#dataset of m_lvj -> before and after vbf cuts -> central object value
rdataset_sb_lo_mlvj = RooDataSet("rdataset"+label+"_sb_lo"+"_"+self.channel+"_mlvj","rdataset"+label+"_sb_lo"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_signal_region_mlvj = RooDataSet("rdataset"+label+"_signal_region"+"_"+self.channel+"_mlvj","rdataset"+label+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_sb_hi_mlvj = RooDataSet("rdataset"+label+"_sb_hi"+"_"+self.channel+"_mlvj","rdataset"+label+"_sb_hi"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_sb_lo_mlvj = RooDataSet("rdataset4fit"+label+"_sb_lo"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"_sb_lo"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_signal_region_mlvj = RooDataSet("rdataset4fit"+label+"_signal_region"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_sb_hi_mlvj = RooDataSet("rdataset4fit"+label+"_sb_hi"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"_sb_hi"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
if label != "_WJets01" and label != "_WJets1" and label !="_data" and not options.skipJetSystematics:
#dataset of jes_up
rdataset_mj_jes_up = RooDataSet("rdataset"+label+"massvbf_jes_up"+"_"+self.channel+"_mj","rdataset"+label+"massvbf_jes_up"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_mj_jes_up = RooDataSet("rdataset4fit"+label+"massvbf_jes_up"+"_"+self.channel+"_mj","rdataset4fit"+label+"massvbf_jes_up"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_sb_lo_mlvj_jes_up = RooDataSet("rdataset"+label+"massvbf_jes_up"+"_sb_lo"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jes_up"+"_sb_lo"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_signal_region_mlvj_jes_up = RooDataSet("rdataset"+label+"massvbf_jes_up"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jes_up"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_sb_hi_mlvj_jes_up = RooDataSet("rdataset"+label+"massvbf_jes_up"+"_sb_hi"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jes_up"+"_sb_hi"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_sb_lo_mlvj_jes_up = RooDataSet("rdataset4fit"+label+"massvbf_jes_up"+"_sb_lo"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jes_up"+"_sb_lo"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_signal_region_mlvj_jes_up = RooDataSet("rdataset4fit"+label+"massvbf_jes_up"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jes_up"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_sb_hi_mlvj_jes_up = RooDataSet("rdataset4fit"+label+"massvbf_jes_up"+"_sb_hi"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jes_up"+"_sb_hi"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
#dataset of applying jes dn
rdataset_mj_jes_dn = RooDataSet("rdataset"+label+"massvbf_jes_dn"+"_"+self.channel+"_mj","rdataset"+label+"massvbf_jes_dn"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_mj_jes_dn = RooDataSet("rdataset4fit"+label+"massvbf_jes_dn"+"_"+self.channel+"_mj","rdataset4fit"+label+"massvbf_jes_dn"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_sb_lo_mlvj_jes_dn = RooDataSet("rdataset"+label+"massvbf_jes_dn"+"_sb_lo"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jes_dn"+"_sb_lo"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_signal_region_mlvj_jes_dn = RooDataSet("rdataset"+label+"massvbf_jes_dn"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jes_dn"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_sb_hi_mlvj_jes_dn = RooDataSet("rdataset"+label+"massvbf_jes_dn"+"_sb_hi"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jes_dn"+"_sb_hi"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_sb_lo_mlvj_jes_dn = RooDataSet("rdataset4fit"+label+"massvbf_jes_dn"+"_sb_lo"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jes_dn"+"_sb_lo"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_signal_region_mlvj_jes_dn = RooDataSet("rdataset4fit"+label+"massvbf_jes_dn"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jes_dn"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_sb_hi_mlvj_jes_dn = RooDataSet("rdataset4fit"+label+"massvbf_jes_dn"+"_sb_hi"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jes_dn"+"_sb_hi"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
#dataset of applying jer up
rdataset_mj_jer_up = RooDataSet("rdataset"+label+"massvbf_jer_up"+"_"+self.channel+"_mj","rdataset"+label+"massvbf_jer_up"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_mj_jer_up = RooDataSet("rdataset4fit"+label+"massvbf_jer_up"+"_"+self.channel+"_mj","rdataset4fit"+label+"massvbf_jer_up"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_sb_lo_mlvj_jer_up = RooDataSet("rdataset"+label+"massvbf_jer_up"+"_sb_lo"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jer_up"+"_sb_lo"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_signal_region_mlvj_jer_up = RooDataSet("rdataset"+label+"massvbf_jer_up"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jer_up"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_sb_hi_mlvj_jer_up = RooDataSet("rdataset"+label+"massvbf_jer_up"+"_sb_hi"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jer_up"+"_sb_hi"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_sb_lo_mlvj_jer_up = RooDataSet("rdataset4fit"+label+"massvbf_jer_up"+"_sb_lo"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jer_up"+"_sb_lo"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_signal_region_mlvj_jer_up = RooDataSet("rdataset4fit"+label+"massvbf_jer_up"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jer_up"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_sb_hi_mlvj_jer_up = RooDataSet("rdataset4fit"+label+"massvbf_jer_up"+"_sb_hi"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jer_up"+"_sb_hi"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
#dataset of applying jer dn
rdataset_mj_jer_dn = RooDataSet("rdataset"+label+"massvbf_jer_dn"+"_"+self.channel+"_mj","rdataset"+label+"massvbf_jer_dn"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_mj_jer_dn = RooDataSet("rdataset4fit"+label+"massvbf_jer_dn"+"_"+self.channel+"_mj","rdataset4fit"+label+"massvbf_jer_dn"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_sb_lo_mlvj_jer_dn = RooDataSet("rdataset"+label+"massvbf_jer_dn"+"_sb_lo"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jer_dn"+"_sb_lo"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_signal_region_mlvj_jer_dn = RooDataSet("rdataset"+label+"massvbf_jer_dn"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jer_dn"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_sb_hi_mlvj_jer_dn = RooDataSet("rdataset"+label+"massvbf_jer_dn"+"_sb_hi"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jer_dn"+"_sb_hi"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_sb_lo_mlvj_jer_dn = RooDataSet("rdataset4fit"+label+"massvbf_jer_dn"+"_sb_lo"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jer_dn"+"_sb_lo"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_signal_region_mlvj_jer_dn = RooDataSet("rdataset4fit"+label+"massvbf_jer_dn"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jer_dn"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_sb_hi_mlvj_jer_dn = RooDataSet("rdataset4fit"+label+"massvbf_jer_dn"+"_sb_hi"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jer_dn"+"_sb_hi"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
#dataset of applying jer
rdataset_mj_jer = RooDataSet("rdataset"+label+"massvbf_jer"+"_"+self.channel+"_mj","rdataset"+label+"massvbf_jer"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_mj_jer = RooDataSet("rdataset4fit"+label+"massvbf_jer"+"_"+self.channel+"_mj","rdataset4fit"+label+"massvbf_jer"+"_"+self.channel+"_mj",RooArgSet(rrv_mass_j,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_sb_lo_mlvj_jer = RooDataSet("rdataset"+label+"massvbf_jer"+"_sb_lo"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jer"+"_sb_lo"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_signal_region_mlvj_jer = RooDataSet("rdataset"+label+"massvbf_jer"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jer"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset_sb_hi_mlvj_jer = RooDataSet("rdataset"+label+"massvbf_jer"+"_sb_hi"+"_"+self.channel+"_mlvj","rdataset"+label+"massvbf_jer"+"_sb_hi"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_sb_lo_mlvj_jer = RooDataSet("rdataset4fit"+label+"massvbf_jer"+"_sb_lo"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jer"+"_sb_lo"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_signal_region_mlvj_jer = RooDataSet("rdataset4fit"+label+"massvbf_jer"+"_signal_region"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jer"+"_signal_region"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
rdataset4fit_sb_hi_mlvj_jer = RooDataSet("rdataset4fit"+label+"massvbf_jer"+"_sb_hi"+"_"+self.channel+"_mlvj","rdataset4fit"+label+"massvbf_jer"+"_sb_hi"+"_"+self.channel+"_mlvj",RooArgSet(rrv_mass_lvj,rrv_weight),RooFit.WeightVar(rrv_weight) );
###### Define the event categorization
data_category = RooCategory("data_category","data_category");
data_category.defineType("sideband");
data_category.defineType("signal_region");
combData = RooDataSet("combData"+label+"_"+self.channel,"combData"+label+"_"+self.channel,RooArgSet(rrv_mass_lvj, data_category, rrv_weight),RooFit.WeightVar(rrv_weight) );
combData4fit = RooDataSet("combData4fit"+label+"_"+self.channel,"combData4fit"+label+"_"+self.channel,RooArgSet(rrv_mass_lvj, data_category, rrv_weight),RooFit.WeightVar(rrv_weight) );
if label != "_WJets01" and label != "_WJets1" and label !="_data" and not options.skipJetSystematics:
## jes_up
combData_jes_up = RooDataSet("combData"+label+"massvbf_jes_up"+"_"+self.channel,"combData"+label+"massvbf_jes_up"+"_"+self.channel,RooArgSet(rrv_mass_lvj, data_category, rrv_weight),RooFit.WeightVar(rrv_weight) );
combData4fit_jes_up = RooDataSet("combData4fit"+label+"massvbf_jes_up"+"_"+self.channel,"combData4fit"+label+"massvbf_jes_up"+"_"+self.channel,RooArgSet(rrv_mass_lvj, data_category, rrv_weight),RooFit.WeightVar(rrv_weight) );
## jes_dn
combData_jes_dn = RooDataSet("combData"+label+"massvbf_jes_dn"+"_"+self.channel,"combData"+label+"massvbf_jes_dn"+"_"+self.channel,RooArgSet(rrv_mass_lvj, data_category, rrv_weight),RooFit.WeightVar(rrv_weight) );
combData4fit_jes_dn = RooDataSet("combData4fit"+label+"massvbf_jes_dn"+"_"+self.channel,"combData4fit"+label+"massvbf_jes_dn"+"_"+self.channel,RooArgSet(rrv_mass_lvj, data_category, rrv_weight),RooFit.WeightVar(rrv_weight) );
## jer_up
combData_jer_up = RooDataSet("combData"+label+"massvbf_jer_up"+"_"+self.channel,"combData"+label+"massvbf_jer_up"+"_"+self.channel,RooArgSet(rrv_mass_lvj, data_category, rrv_weight),RooFit.WeightVar(rrv_weight) );
combData4fit_jer_up = RooDataSet("combData4fit"+label+"massvbf_jer_up"+"_"+self.channel,"combData4fit"+label+"massvbf_jer_up"+"_"+self.channel,RooArgSet(rrv_mass_lvj, data_category, rrv_weight),RooFit.WeightVar(rrv_weight) );
## jer_dn
combData_jer_dn = RooDataSet("combData"+label+"massvbf_jer_dn"+"_"+self.channel,"combData"+label+"massvbf_jer_dn"+"_"+self.channel,RooArgSet(rrv_mass_lvj, data_category, rrv_weight),RooFit.WeightVar(rrv_weight) );
combData4fit_jer_dn = RooDataSet("combData4fit"+label+"massvbf_jer_dn"+"_"+self.channel,"combData4fit"+label+"massvbf_jer_dn"+"_"+self.channel,RooArgSet(rrv_mass_lvj, data_category, rrv_weight),RooFit.WeightVar(rrv_weight) );
## jer
combData_jer = RooDataSet("combData"+label+"massvbf_jer"+"_"+self.channel,"combData"+label+"massvbf_jer"+"_"+self.channel,RooArgSet(rrv_mass_lvj, data_category, rrv_weight),RooFit.WeightVar(rrv_weight) );
combData4fit_jer = RooDataSet("combData4fit"+label+"massvbf_jer"+"_"+self.channel,"combData4fit"+label+"massvbf_jer"+"_"+self.channel,RooArgSet(rrv_mass_lvj, data_category, rrv_weight),RooFit.WeightVar(rrv_weight) );
print "N entries: ", treeIn.GetEntries();
hnum_4region = TH1D("hnum_4region"+label+"_"+self.channel,"hnum_4region"+label+"_"+self.channel,4,-1.5,2.5);# m_j -1: sb_lo; 0:signal_region; 1: sb_hi; 2:total
hnum_2region = TH1D("hnum_2region"+label+"_"+self.channel,"hnum_2region"+label+"_"+self.channel,2,-0.5,1.5);# m_lvj 0: signal_region; 1: total
if TString(label).Contains("ggH") or TString(label).Contains("vbfH"):
hnum_4region_int_up = TH1D("hnum_4region"+label+"massvbf_int_up"+"_"+self.channel,"hnum_4region"+label+"massvbf_int_up"+"_"+self.channel,4,-1.5,2.5);
hnum_4region_int_dn = TH1D("hnum_4region"+label+"massvbf_int_dn"+"_"+self.channel,"hnum_4region"+label+"massvbf_int_dn"+"_"+self.channel,4,-1.5,2.5);
hnum_2region_int_up = TH1D("hnum_2region"+label+"massvbf_int_up"+"_"+self.channel,"hnum_2region"+label+"massvbf_int_up"+"_"+self.channel,4,-1.5,2.5);
hnum_2region_int_dn = TH1D("hnum_2region"+label+"massvbf_int_dn"+"_"+self.channel,"hnum_2region"+label+"massvbf_int_dn"+"_"+self.channel,4,-1.5,2.5);
if label != "_WJets01" and label != "_WJets1" and label !="_data" and not options.skipJetSystematics:
hnum_4region_jes_up = TH1D("hnum_4region"+label+"massvbf_jes_up"+"_"+self.channel,"hnum_4region"+label+"massvbf_jes_up"+"_"+self.channel,4,-1.5,2.5);
hnum_2region_jes_up = TH1D("hnum_2region"+label+"massvbf_jes_up"+"_"+self.channel,"hnum_2region"+label+"massvbf_jes_up"+"_"+self.channel,2,-0.5,1.5);
hnum_4region_jes_dn = TH1D("hnum_4region"+label+"massvbf_jes_dn"+"_"+self.channel,"hnum_4region"+label+"massvbf_jes_dn"+"_"+self.channel,4,-1.5,2.5);
hnum_2region_jes_dn = TH1D("hnum_2region"+label+"massvbf_jes_dn"+"_"+self.channel,"hnum_2region"+label+"massvbf_jes_dn"+"_"+self.channel,2,-0.5,1.5);
hnum_4region_jer_up = TH1D("hnum_4region"+label+"massvbf_jer_up"+"_"+self.channel,"hnum_4region"+label+"massvbf_jer_up"+"_"+self.channel,4,-1.5,2.5);
hnum_2region_jer_up = TH1D("hnum_2region"+label+"massvbf_jer_up"+"_"+self.channel,"hnum_2region"+label+"massvbf_jer_up"+"_"+self.channel,2,-0.5,1.5);
hnum_4region_jer_dn = TH1D("hnum_4region"+label+"massvbf_jer_dn"+"_"+self.channel,"hnum_4region"+label+"massvbf_jer_dn"+"_"+self.channel,4,-1.5,2.5);
hnum_2region_jer_dn = TH1D("hnum_2region"+label+"massvbf_jer_dn"+"_"+self.channel,"hnum_2region"+label+"massvbf_jer_dn"+"_"+self.channel,2,-0.5,1.5);
hnum_4region_jer = TH1D("hnum_4region"+label+"massvbf_jer"+"_"+self.channel,"hnum_4region"+label+"massvbf_jer"+"_"+self.channel,4,-1.5,2.5);
hnum_2region_jer = TH1D("hnum_2region"+label+"massvbf_jer"+"_"+self.channel,"hnum_2region"+label+"massvbf_jer"+"_"+self.channel,2,-0.5,1.5);
tmp_scale_to_lumi = 0 ;
for i in range(treeIn.GetEntries()):
if i % 1000 == 0: print "iEvent: ",i
treeIn.GetEntry(i);
discriminantCut = False;
wtagger=-1;
wtagger=getattr(treeIn,"jet_tau2tau1");
if wtagger < self.wtagger_cut:
discriminantCut = True;
else:
discriminantCut = False;
tmp_scale_to_lumi = treeIn.wSampleWeight;
jet_1 = ROOT.TLorentzVector();
jet_2 = ROOT.TLorentzVector();
mass_WW_gen = 0 ;
if TString(label).Contains("ggH") or TString(label).Contains("vbfH"):
mass_WW_gen = getattr(treeIn,"genHMass");
njet = 0. ; tmp_vbf_dEta =0.; tmp_vbf_Mjj = 0.; ungroomed_jet_pt = 0.; pfMET = 0.; mass_lvj = 0. ;
# jet mass , central value
tmp_jet_mass = getattr(treeIn, jet_mass);
tmp_vbf_dEta = math.fabs(getattr(treeIn, "vbf_maxpt_j1_eta")-getattr(treeIn,"vbf_maxpt_j2_eta"));
tmp_vbf_Mjj = getattr(treeIn, "vbf_maxpt_jj_m");
njet = getattr(treeIn,"numberJetBin");
ungroomed_jet_pt = getattr(treeIn,"ungroomed_jet_pt");
pfMET = getattr(treeIn,"pfMET");
mass_lvj = getattr(treeIn,"mass_lvj_type0_met");
if label != "_WJets01" and label != "_WJets1" and label !="_data" and not options.skipJetSystematics: