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g1_exo_doFit_class.py
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g1_exo_doFit_class.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, RooHist,RooCategory, RooChebychev, RooSimultaneous, RooGenericPdf,RooConstVar, RooKeysPdf, RooHistPdf, RooEffProd, RooProdPdf, TIter, kTRUE, kFALSE, kGray, kRed, kDashed, kGreen,kAzure, kOrange, kBlack,kBlue,kYellow,kCyan, kMagenta, kWhite
############################################
# Job steering #
############################################
parser = OptionParser()
parser.add_option('-a', '--additioninformation',action="store",type="string",dest="additioninformation",default="EXO")
parser.add_option('-b', action='store_true', dest='noX', default=False, help='no X11 windows')
parser.add_option('-c', '--channel',action="store",type="string",dest="channel",default="el")
parser.add_option('-p', '--psmodel',action="store",type="string",dest="psmodel",default="pythia")
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')
parser.add_option('--check', action='store_true', dest='check', default=False, help='check the workspace for limit setting')
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('--fitSignal', action='store',type="int", dest='fitsignal', default=0, help='fit only signal lineshape with a chosen model')
parser.add_option('--inPath', action="store",type="string",dest="inPath",default="./")
parser.add_option('--category', action="store",type="string",dest="category",default="HP")
(options, args) = parser.parse_args()
ROOT.gSystem.Load(options.inPath+"/PDFs/PdfDiagonalizer_cc.so")
ROOT.gSystem.Load(options.inPath+"/PDFs/Util_cxx.so")
ROOT.gSystem.Load(options.inPath+"/PDFs/HWWLVJRooPdfs_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, draw_error_band_extendPdf_pull, draw_error_band_ws
###############################
## doFit Class Implemetation ##
###############################
class doFit_wj_and_wlvj:
def __init__(self, in_channel,in_signal_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):
self.setTDRStyle();
RooAbsPdf.defaultIntegratorConfig().setEpsRel(1e-9) ;
RooAbsPdf.defaultIntegratorConfig().setEpsAbs(1e-9) ;
### set the channel type --> electron or muon
self.channel=in_channel;
self.leg = TLegend();
self.MODEL_4_mlvj=fit_model;
self.MODEL_4_mlvj_alter=fit_model_alter;
print "########################################################################################"
print "######## define class: binning, variables, cuts, files and nuissance parameters ########"
print "########################################################################################"
### Set the mj binning for plots
self.BinWidth_mj=5.;
### 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=50.;
else:
self.BinWidth_mlvj=100.;
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=50.;
else:
self.BinWidth_mlvj=100.;
#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 selution, we will increase the bin-width by a factor of 5 when ploting m_j m_WW
self.narrow_factor=1.;
## correct the binning of mj
self.BinWidth_mj=self.BinWidth_mj/self.narrow_factor;
nbins_mj=int((in_mj_max-in_mj_min)/self.BinWidth_mj);
in_mj_max=in_mj_min+nbins_mj*self.BinWidth_mj;
## correct the binning of mlvj
self.BinWidth_mlvj=self.BinWidth_mlvj/self.narrow_factor;
nbins_mlvj=int((in_mlvj_max-in_mlvj_min)/self.BinWidth_mlvj);
in_mlvj_max=in_mlvj_min+nbins_mlvj*self.BinWidth_mlvj;
## define jet mass variable
rrv_mass_j = RooRealVar("rrv_mass_j","Pruned jet mass",(in_mj_min+in_mj_max)/2.,in_mj_min,in_mj_max,"GeV");
rrv_mass_j.setBins(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(nbins_mlvj);
## set the model used for the background parametrization
self.MODEL_4_mlvj=fit_model;
self.MODEL_4_mlvj_alter=fit_model_alter;
## 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);
#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);
rrv_mass_lvj.setRange("high_mass",2500,in_mlvj_max);
#prepare the data and mc files --> set the working directory and the files name
if TString(in_signal_sample).Contains("inclusive"):
self.file_Directory="AnaSigTree_new/";
else:
self.file_Directory="AnaSigTree/";
self.PS_model= options.psmodel
self.signal_sample=in_signal_sample;
if options.closuretest == 0:
self.file_data = ("treeEDBR_data_xww.root");#keep blind!!!!
else:
self.file_data = ("treeEDBR_data_xww.root");#keep blind!!!!
self.file_pseudodata = ("treeEDBR_allBkg_xww.root");#fake data
self.file_signal = ("treeEDBR_%s_xww.root"%(self.signal_sample));
self.file_WJets0_mc = ("treeEDBR_WJetsPt180_xww.root");
self.file_VV_mc = ("treeEDBR_VV_xww.root");# WW+WZ
self.file_TTbar_mc = ("treeEDBR_TTBARpowheg_xww.root");
self.file_STop_mc = ("treeEDBR_SingleTop_xww.root");
## 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;
self.categoryID=-1;
if self.wtagger_label=="LP" and self.channel=="el": self.categoryID=0;
if self.wtagger_label=="HP" and self.channel=="el": self.categoryID=1;
if self.wtagger_label=="LP" and self.channel=="mu": self.categoryID=2;
if self.wtagger_label=="HP" and self.channel=="mu": self.categoryID=3;
#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":
self.rrv_wtagger_eff_reweight_forT=RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT", 0.975);
self.rrv_wtagger_eff_reweight_forT.setError(0.02*self.rrv_wtagger_eff_reweight_forT.getVal());
self.rrv_wtagger_eff_reweight_forV=RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",0.891);
self.rrv_wtagger_eff_reweight_forV.setError(0.0717773);
if self.channel=="el" and self.wtagger_label=="HP":
self.rrv_wtagger_eff_reweight_forT=RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT",0.968);
self.rrv_wtagger_eff_reweight_forT.setError(0.03*self.rrv_wtagger_eff_reweight_forT.getVal());
self.rrv_wtagger_eff_reweight_forV=RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",0.891);
self.rrv_wtagger_eff_reweight_forV.setError(0.0717773);
if self.channel=="mu" and self.wtagger_label=="LP":
self.rrv_wtagger_eff_reweight_forT=RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT",1.31);
self.rrv_wtagger_eff_reweight_forT.setError(0.048103*self.rrv_wtagger_eff_reweight_forT.getVal());
self.rrv_wtagger_eff_reweight_forV=RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",1.277);
self.rrv_wtagger_eff_reweight_forV.setError(0.303);
if self.channel=="el" and self.wtagger_label=="LP":
self.rrv_wtagger_eff_reweight_forT=RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT",1.39);
self.rrv_wtagger_eff_reweight_forT.setError(0.08*self.rrv_wtagger_eff_reweight_forT.getVal());
self.rrv_wtagger_eff_reweight_forV=RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",1.277);
self.rrv_wtagger_eff_reweight_forV.setError(0.303);
if self.channel=="em" and self.wtagger_label=="HP":
self.rrv_wtagger_eff_reweight_forT=RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT", 0.971);
self.rrv_wtagger_eff_reweight_forT.setError(0.02*self.rrv_wtagger_eff_reweight_forT.getVal());
self.rrv_wtagger_eff_reweight_forV=RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",0.891);
self.rrv_wtagger_eff_reweight_forV.setError(0.0717773);
if self.channel=="em" and self.wtagger_label=="LP":
self.rrv_wtagger_eff_reweight_forT=RooRealVar("rrv_wtagger_eff_reweight_forT","rrv_wtagger_eff_reweight_forT", 1.34);
self.rrv_wtagger_eff_reweight_forT.setError(0.02*self.rrv_wtagger_eff_reweight_forT.getVal());
self.rrv_wtagger_eff_reweight_forV=RooRealVar("rrv_wtagger_eff_reweight_forV","rrv_wtagger_eff_reweight_forV",1.277);
self.rrv_wtagger_eff_reweight_forV.setError(0.303);
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());
#correct the W-jet mass peak difference between data and MC
self.mean_shift=1.36; self.sigma_scale=1.102;
print " mean correction for the W peak : ",self.mean_shift," Resolution correction : ",self.sigma_scale
#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_%s_g1"%(options.additioninformation, self.channel,self.wtagger_label)):
os.system("mkdir cards_%s_%s_%s_g1"%(options.additioninformation, self.channel,self.wtagger_label));
self.rlt_DIR="cards_%s_%s_%s_g1/"%(options.additioninformation, self.channel,self.wtagger_label)
## extra text file
self.file_rlt_txt = self.rlt_DIR+"other_wwlvj_%s_%s_%s.txt"%(self.signal_sample,self.channel,self.wtagger_label)
## workspace for limit
self.file_rlt_root = self.rlt_DIR+"wwlvj_%s_%s_%02d_%02d_%s_workspace.root"%(self.signal_sample,self.channel,options.cprime,options.BRnew,self.wtagger_label)
## datacard for the ubninned limit
self.file_datacard_unbin = self.rlt_DIR+"wwlvj_%s_%s_%02d_%02d_%s_unbin.txt"%(self.signal_sample,self.channel,options.cprime,options.BRnew,self.wtagger_label)
## workspace for the binned limit
self.file_datacard_counting = self.rlt_DIR+"wwlvj_%s_%s_%02d_%02d_%s_counting.txt"%(self.signal_sample,self.channel,options.cprime,options.BRnew,self.wtagger_label)
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+");
## color palette
self.color_palet={ #color palet
'data' : 1,
'WJets' : 2,
'VV' : 4,
'STop' : 7,
'TTbar' : 210,
'ggH' : 1,
'vbfH' : 12,
'Signal': 1,
'Uncertainty' : kBlack,
'Other_Backgrounds' : kBlue
}
## for basic selection
self.vpt_cut = 200;
self.pfMET_cut = 50;
self.lpt_cut = 50;
if self.channel=="el":
self.pfMET_cut= 80; self.lpt_cut = 90;#very tight
self.deltaPhi_METj_cut =2.0;
# 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 = 0.25 ;
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
#el and mu trigger and eff uncertainty, AN2012_368_v5 12.3
self.lep_trigger_uncertainty = 0.01;
self.lep_eff_uncertainty = 0.02;
#b tag scale uncertainty
self.btag_scale_uncertainty = 0.025;
self.signal_btag_uncertainty = 0.002;
if self.channel == "mu":
self.signal_lepton_energy_scale_uncertainty = 0.007 ;
self.signal_lepton_energy_res_uncertainty = 0.001 ;
self.signal_jet_energy_res_uncertainty = 0.003 ;
elif self.channel == "el":
self.signal_lepton_energy_scale_uncertainty = 0.002 ;
self.signal_lepton_energy_res_uncertainty = 0.001 ;
self.signal_jet_energy_res_uncertainty = 0.003 ;
elif self.channel == "em":
self.signal_lepton_energy_scale_uncertainty = 0.045 ;
self.signal_lepton_energy_res_uncertainty = 0.001 ;
self.signal_jet_energy_res_uncertainty = 0.003 ;
self.eff_vtag_model = 0. ;
self.eff_vtag_mass_sf = 0.;
label_tstring=TString(self.signal_sample);
if label_tstring.Contains("600") and (not label_tstring.Contains("1600")):
self.signal_jet_energy_scale_uncertainty = 0.01 ;
self.xs_rescale = 0.32298/0.052087 ;
if label_tstring.Contains("700") and (not label_tstring.Contains("1700")):
self.signal_jet_energy_scale_uncertainty = 0.011 ;
self.xs_rescale = 0.11827/0.019006 ;
if label_tstring.Contains("800") and (not label_tstring.Contains("1800")):
self.signal_jet_energy_scale_uncertainty = 0.011 ;
self.xs_rescale = 0.04931/0.0079064 ;
if label_tstring.Contains("900") and (not label_tstring.Contains("1900")):
self.signal_jet_energy_scale_uncertainty = 0.011 ;
self.xs_rescale = 0.022506/0.0036364 ;
if label_tstring.Contains("1000"):
self.signal_jet_energy_scale_uncertainty = 0.011 ;
self.xs_rescale = 0.011035/0.0017742;
if label_tstring.Contains("1100"):
self.signal_jet_energy_scale_uncertainty = 0.014 ;
self.xs_rescale = 0.0056883/0.00091785;
if label_tstring.Contains("1200"):
self.signal_jet_energy_scale_uncertainty = 0.014 ;
self.xs_rescale = 0.0030626/0.00049262;
if label_tstring.Contains("1300"):
self.signal_jet_energy_scale_uncertainty = 0.014 ;
self.xs_rescale = 0.0017003/0.00027418;
if label_tstring.Contains("1400"):
self.signal_jet_energy_scale_uncertainty = 0.014 ;
self.xs_rescale = 0.00097456/0.00015697;
if label_tstring.Contains("1500"):
self.signal_jet_energy_scale_uncertainty = 0.015 ;
self.xs_rescale = 0.00056979/9.2073e-05;
if label_tstring.Contains("1600"):
self.signal_jet_energy_scale_uncertainty = 0.015 ;
self.xs_rescale = 0.00034149/5.4715e-05;
if label_tstring.Contains("1700"):
self.signal_jet_energy_scale_uncertainty = 0.016 ;
self.xs_rescale = 0.00020677/3.3199e-05;
if label_tstring.Contains("1800"):
self.signal_jet_energy_scale_uncertainty = 0.016 ;
self.xs_rescale = 0.000127/2.0367e-05;
if label_tstring.Contains("1900"):
self.signal_jet_energy_scale_uncertainty = 0.018 ;
self.xs_rescale = 7.9677e-05/1.2723e-05;
if label_tstring.Contains("2000"):
self.signal_jet_energy_scale_uncertainty = 0.018 ;
self.xs_rescale = 5.0345e-05/8.0046e-06;
if label_tstring.Contains("2100"):
self.signal_jet_energy_scale_uncertainty = 0.02 ;
self.xs_rescale = 3.198e-05/5.0566e-06;
if label_tstring.Contains("2200"):
self.signal_jet_energy_scale_uncertainty = 0.02 ;
self.xs_rescale = 2.0502e-05/3.2608e-06;
if label_tstring.Contains("2300"):
self.signal_jet_energy_scale_uncertainty = 0.023 ;
self.xs_rescale = 1.324e-05/2.0938e-06;
if label_tstring.Contains("2400"):
self.signal_jet_energy_scale_uncertainty = 0.026 ;
self.xs_rescale = 8.6099e-06/1.3566e-06;
if label_tstring.Contains("2500"):
self.signal_jet_energy_scale_uncertainty = 0.03 ;
self.xs_rescale = 5.6338e-06/8.8518e-07;
#### sigma and mean signal systematic inflation
self.mean_signal_uncertainty_jet_scale = 0.013 ;
self.mean_signal_uncertainty_lep_scale = 0.001 ;
self.sigma_signal_uncertainty_jet_scale = 0.033 ;
self.sigma_signal_uncertainty_jet_res = 0.030 ;
self.sigma_signal_uncertainty_lep_scale = 0.005 ;
#### Set systematic on the Wjets shape and TTbar due to PS, fitting function etc..
self.shape_para_error_WJets0 = 1.4;
self.shape_para_error_alpha = 1.4;
self.shape_para_error_TTbar = 2.0;
self.shape_para_error_VV = 1.;
self.shape_para_error_STop = 1.;
# shape parameter uncertainty
self.FloatingParams=RooArgList("floatpara_list");
## Set basic TDR style for canvas, pad ..etc ..
def setTDRStyle(self):
self.tdrStyle =TStyle("tdrStyle","Style for P-TDR");
#For the canvas:
self.tdrStyle.SetCanvasBorderMode(0);
self.tdrStyle.SetCanvasColor(kWhite);
self.tdrStyle.SetCanvasDefH(600); #Height of canvas
self.tdrStyle.SetCanvasDefW(600); #Width of canvas
self.tdrStyle.SetCanvasDefX(0); #POsition on screen
self.tdrStyle.SetCanvasDefY(0);
#For the Pad:
self.tdrStyle.SetPadBorderMode(0);
self.tdrStyle.SetPadColor(kWhite);
self.tdrStyle.SetPadGridX(False);
self.tdrStyle.SetPadGridY(False);
self.tdrStyle.SetGridColor(0);
self.tdrStyle.SetGridStyle(3);
self.tdrStyle.SetGridWidth(1);
#For the frame:
self.tdrStyle.SetFrameBorderMode(0);
self.tdrStyle.SetFrameBorderSize(1);
self.tdrStyle.SetFrameFillColor(0);
self.tdrStyle.SetFrameFillStyle(0);
self.tdrStyle.SetFrameLineColor(1);
self.tdrStyle.SetFrameLineStyle(1);
self.tdrStyle.SetFrameLineWidth(1);
#For the histo:
self.tdrStyle.SetHistLineColor(1);
self.tdrStyle.SetHistLineStyle(0);
self.tdrStyle.SetHistLineWidth(1);
self.tdrStyle.SetEndErrorSize(2);
self.tdrStyle.SetErrorX(0.);
self.tdrStyle.SetMarkerStyle(20);
#For the fit/function:
self.tdrStyle.SetOptFit(1);
self.tdrStyle.SetFitFormat("5.4g");
self.tdrStyle.SetFuncColor(2);
self.tdrStyle.SetFuncStyle(1);
self.tdrStyle.SetFuncWidth(1);
#For the date:
self.tdrStyle.SetOptDate(0);
#For the statistics box:
self.tdrStyle.SetOptFile(0);
self.tdrStyle.SetOptStat(0); #To display the mean and RMS:
self.tdrStyle.SetStatColor(kWhite);
self.tdrStyle.SetStatFont(42);
self.tdrStyle.SetStatFontSize(0.025);
self.tdrStyle.SetStatTextColor(1);
self.tdrStyle.SetStatFormat("6.4g");
self.tdrStyle.SetStatBorderSize(1);
self.tdrStyle.SetStatH(0.1);
self.tdrStyle.SetStatW(0.15);
#Margins:
self.tdrStyle.SetPadTopMargin(0.05);
self.tdrStyle.SetPadBottomMargin(0.13);
self.tdrStyle.SetPadLeftMargin(0.18);
self.tdrStyle.SetPadRightMargin(0.06);
#For the Global title:
self.tdrStyle.SetOptTitle(0);
self.tdrStyle.SetTitleFont(42);
self.tdrStyle.SetTitleColor(1);
self.tdrStyle.SetTitleTextColor(1);
self.tdrStyle.SetTitleFillColor(10);
self.tdrStyle.SetTitleFontSize(0.05);
#For the axis titles:
self.tdrStyle.SetTitleColor(1, "XYZ");
self.tdrStyle.SetTitleFont(42, "XYZ");
self.tdrStyle.SetTitleSize(0.03, "XYZ");
self.tdrStyle.SetTitleXOffset(0.9);
self.tdrStyle.SetTitleYOffset(1.5);
#For the axis labels:
self.tdrStyle.SetLabelColor(1, "XYZ");
self.tdrStyle.SetLabelFont(42, "XYZ");
self.tdrStyle.SetLabelOffset(0.007, "XYZ");
self.tdrStyle.SetLabelSize(0.03, "XYZ");
#For the axis:
self.tdrStyle.SetAxisColor(1, "XYZ");
self.tdrStyle.SetStripDecimals(kTRUE);
self.tdrStyle.SetTickLength(0.03, "XYZ");
self.tdrStyle.SetNdivisions(510, "XYZ");
self.tdrStyle.SetPadTickX(1); #To get tick marks on the opposite side of the frame
self.tdrStyle.SetPadTickY(1);
#Change for log plots:
self.tdrStyle.SetOptLogx(0);
self.tdrStyle.SetOptLogy(0);
self.tdrStyle.SetOptLogz(0);
#Postscript options:
self.tdrStyle.SetPaperSize(20.,20.);
self.tdrStyle.cd();
#### Method to make a RooAbsPdf giving label, model name, spectrum, if it is mc or not and a constraint list for the parameters
def make_Pdf(self, label, in_model_name, mass_spectrum="_mj", ConstraintsList=[],ismc = 0):
if TString(mass_spectrum).Contains("_mj"): rrv_x = self.workspace4fit_.var("rrv_mass_j");
if TString(mass_spectrum).Contains("_mlvj"): rrv_x = self.workspace4fit_.var("rrv_mass_lvj");
# W mass: 80.385
if in_model_name == "Voig":
print "########### Voigtian Pdf for mJ ############"
rrv_mean_voig=RooRealVar("rrv_mean_voig"+label+"_"+self.channel,"rrv_mean_voig"+label+"_"+self.channel,84,78,88);
rrv_width_voig=RooRealVar("rrv_width_voig"+label+"_"+self.channel,"rrv_width_voig"+label+"_"+self.channel,7.,1,40);
rrv_sigma_voig=RooRealVar("rrv_sigma_voig"+label+"_"+self.channel,"rrv_sigma_voig"+label+"_"+self.channel,5,0.01,20);
model_pdf = RooVoigtian("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_voig,rrv_width_voig,rrv_sigma_voig);
# Higgs mass 600-1000
if in_model_name == "Voig_v1":
print "########### Voigtian Pdf for Higgs mlvj ############"
rrv_mean_voig=RooRealVar("rrv_mean_voig"+label+"_"+self.channel,"rrv_mean_voig"+label+"_"+self.channel,650,550,1200);
rrv_width_voig=RooRealVar("rrv_width_voig"+label+"_"+self.channel,"rrv_width_voig"+label+"_"+self.channel,100.,10,600);
rrv_sigma_voig=RooRealVar("rrv_sigma_voig"+label+"_"+self.channel,"rrv_sigma_voig"+label+"_"+self.channel,200,10,400);
model_pdf = RooVoigtian("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_voig,rrv_width_voig,rrv_sigma_voig);
# Bulk mass 600-1000
if in_model_name == "Voig_v2":
label_tstring=TString(label);
print "########### Voigtian Pdf for Higgs mlvj ############"
if label_tstring.Contains("600") and (not label_tstring.Contains("1600") ):
rrv_mean_voig=RooRealVar("rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,600,500,700);
rrv_width_voig.setConstant(kTRUE);
rrv_sigma_voig=RooRealVar("rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,40,10,80);
elif label_tstring.Contains("700") and (not label_tstring.Contains("1700") ):
rrv_mean_voig=RooRealVar("rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,700,600,800);
rrv_width_voig=RooRealVar("rrv_width_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_width_voig"+label+"_"+self.channel+"_"+self.wtagger_label,2.5,0,10);
rrv_width_voig.setConstant(kTRUE);
rrv_sigma_voig=RooRealVar("rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,40,10,80);
elif label_tstring.Contains("800") and (not label_tstring.Contains("1800") ):
rrv_mean_voig=RooRealVar("rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,800,700,900);
rrv_width_voig=RooRealVar("rrv_width_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_width_voig"+label+"_"+self.channel+"_"+self.wtagger_label,2.5,0,10);
rrv_width_voig.setConstant(kTRUE);
rrv_sigma_voig=RooRealVar("rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,40,10,80);
elif label_tstring.Contains("900") and (not label_tstring.Contains("1900") ):
rrv_mean_voig=RooRealVar("rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,900,800,1000);
rrv_width_voig=RooRealVar("rrv_width_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_width_voig"+label+"_"+self.channel+"_"+self.wtagger_label,2.5,0,10);
rrv_width_voig.setConstant(kTRUE);
rrv_sigma_voig=RooRealVar("rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,40,10,90);
elif label_tstring.Contains("1000"):
rrv_mean_voig=RooRealVar("rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,1000,900,1100);#
rrv_width_voig=RooRealVar("rrv_width_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_width_voig"+label+"_"+self.channel+"_"+self.wtagger_label,2.5,0,10);
rrv_width_voig.setConstant(kTRUE);
rrv_sigma_voig=RooRealVar("rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,40,10,80);
if label_tstring.Contains("1100"):
rrv_mean_voig=RooRealVar("rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,1100,1000,1200);
rrv_width_voig=RooRealVar("rrv_width_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_width_voig"+label+"_"+self.channel+"_"+self.wtagger_label,3,0,10);
rrv_width_voig.setConstant(kTRUE);
rrv_sigma_voig=RooRealVar("rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,40,10,100);
elif label_tstring.Contains("1200"):
rrv_mean_voig=RooRealVar("rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_voig"+label+"_"+self.channel+"_"+self.wtagger_label,1200,1100,1300);
rrv_width_voig=RooRealVar("rrv_width_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_width_voig"+label+"_"+self.channel+"_"+self.wtagger_label,3,0,10);
rrv_width_voig.setConstant(kTRUE);
rrv_sigma_voig=RooRealVar("rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_voig"+label+"_"+self.channel+"_"+self.wtagger_label,40,10,100);
model_pdf = RooVoigtian("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_voig,rrv_width_voig,rrv_sigma_voig);
## BW for the W mass peak
if in_model_name == "BW":
print "########### BW Pdf for mj fit ############"
rrv_mean_BW=RooRealVar("rrv_mean_BW"+label+"_"+self.channel,"rrv_mean_BW"+label+"_"+self.channel,84,78, 88);
rrv_width_BW=RooRealVar("rrv_width_BW"+label+"_"+self.channel,"rrv_width_BW"+label+"_"+self.channel,20,1,40);
model_pdf = RooBreitWigner("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_BW,rrv_width_BW);
## BW relativistic for Higgs mass covoluted with CB
if in_model_name == "BWRUNxGausErf":
print "########### BWRUNxGausErf Pdf for Higgs lvj ############"
if label=="_ggH600_signal_region" or label=="_ggH600_sb_lo":
rrv_mean_BWRUN = RooRealVar("rrv_mean_BWRUN"+label+"_"+self.channel,"rrv_mean_BWRUN"+label+"_"+self.channel,600,550,650);
rrv_width_BWRUN= RooRealVar("rrv_width_BWRUN"+label+"_"+self.channel,"rrv_width_BWRUN"+label+"_"+self.channel,60,50,70);
if label=="_ggH700_signal_region" or label=="_ggH700_sb_lo":
rrv_mean_BWRUN = RooRealVar("rrv_mean_BWRUN"+label+"_"+self.channel,"rrv_mean_BWRUN"+label+"_"+self.channel,700,650,750);
rrv_width_BWRUN= RooRealVar("rrv_width_BWRUN"+label+"_"+self.channel,"rrv_width_BWRUN"+label+"_"+self.channel,100,80,120);
if label=="_ggH800_signal_region" or label=="_ggH800_sb_lo":
rrv_mean_BWRUN = RooRealVar("rrv_mean_BWRUN"+label+"_"+self.channel,"rrv_mean_BWRUN"+label+"_"+self.channel,800,750,850);
rrv_width_BWRUN= RooRealVar("rrv_width_BWRUN"+label+"_"+self.channel,"rrv_width_BWRUN"+label+"_"+self.channel,150,100,180);
if label=="_ggH900_signal_region" or label=="_ggH900_sb_lo":
rrv_mean_BWRUN = RooRealVar("rrv_mean_BWRUN"+label+"_"+self.channel,"rrv_mean_BWRUN"+label+"_"+self.channel,900,850,990);
rrv_width_BWRUN= RooRealVar("rrv_width_BWRUN"+label+"_"+self.channel,"rrv_width_BWRUN"+label+"_"+self.channel,200,100,260);
if label=="_ggH1000_signal_region" or label=="_ggH1000_sb_lo":
rrv_mean_BWRUN = RooRealVar("rrv_mean_BWRUN"+label+"_"+self.channel,"rrv_mean_BWRUN"+label+"_"+self.channel,1000,950,1050);
rrv_width_BWRUN= RooRealVar("rrv_width_BWRUN"+label+"_"+self.channel,"rrv_width_BWRUN"+label+"_"+self.channel,200,100,370);
bwrun = RooBWRunPdf("bwrun"+label+"_"+self.channel+mass_spectrum,"bwrun"+label+"_"+self.channel+mass_spectrum,rrv_x, rrv_mean_BWRUN, rrv_width_BWRUN);
rrv_mean_cb = RooRealVar("rrv_mean_cb"+label+"_"+self.channel,"rrv_mean_cb"+label+"_"+self.channel,0);
rrv_sigma_cb = RooRealVar("rrv_sigma_cb"+label+"_"+self.channel,"rrv_sigma_cb"+label+"_"+self.channel,50,10,300);
cbshape = RooGaussian("cbshape"+label+"_"+self.channel,"cbshape"+label+"_"+self.channel, rrv_x,rrv_mean_cb,rrv_sigma_cb);
fft = RooFFTConvPdf("fft"+label+"_"+self.channel+mass_spectrum,"fft"+label+"_"+self.channel+mass_spectrum, rrv_x, bwrun, cbshape);
rrv_offset_erf = RooRealVar("rrv_offset_erf"+label+"_"+self.channel,"rrv_offset_erf"+label+"_"+self.channel,450)#,350,550);
rrv_width_erf = RooRealVar("rrv_width_erf"+label+"_"+self.channel,"rrv_width_erf"+label+"_"+self.channel,50)#,10,250);
erf = RooGenericPdf("erf"+label+"_"+self.channel+mass_spectrum,"erf"+label+"_"+self.channel+mass_spectrum, "(1.+TMath::Erf((%s-%s)/%s))/2."%( rrv_x.GetName(),rrv_offset_erf.GetName(), rrv_width_erf.GetName()), RooArgList(rrv_x,rrv_offset_erf,rrv_width_erf) )
model_pdf = RooProdPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, fft, erf );
## Voig for W mass peak
if in_model_name == "2Voig":
print "########### Double Voigtian for mj fit ############"
rrv_mean_voig = RooRealVar("rrv_mean_voig"+label+"_"+self.channel,"rrv_mean_voig"+label+"_"+self.channel,84,78,88);#W mass 80.385
rrv_shift_2Voig = RooRealVar("rrv_shift_2Voig"+label+"_"+self.channel,"rrv_shift_2Voig"+label+"_"+self.channel,10.8026)# Z mass: 91.1876; shift=91.1876-80.385=10.8026
rrv_mean_shifted = RooFormulaVar("rrv_mean_voig2"+label+"_"+self.channel,"@0+@1",RooArgList(rrv_mean_voig,rrv_shift_2Voig));
rrv_width_voig = RooRealVar("rrv_width_voig"+label+"_"+self.channel,"rrv_width_voig"+label+"_"+self.channel,16.,6,26);
rrv_sigma_voig = RooRealVar("rrv_sigma_voig"+label+"_"+self.channel,"rrv_sigma_voig"+label+"_"+self.channel,5.,0.,10.);
rrv_frac = RooRealVar("rrv_frac"+label+"_"+self.channel,"rrv_frac"+label+"_"+self.channel,0.8,0.5,1.);
model_voig1 = RooVoigtian("model_voig1"+label+"_"+self.channel+mass_spectrum,"model_voig1"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_voig,rrv_width_voig,rrv_sigma_voig);
model_voig2 = RooVoigtian("model_voig2"+label+"_"+self.channel+mass_spectrum,"model_voig2"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_shifted,rrv_width_voig,rrv_sigma_voig);
model_pdf = RooAddPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, RooArgList(model_voig1,model_voig2), RooArgList(rrv_frac));
## Gaus for the W peak
if in_model_name == "Gaus":
print "########### Gaus for W peak ############"
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,84,78,88);
rrv_sigma_gaus = RooRealVar("rrv_sigma_gaus"+label+"_"+self.channel,"rrv_sigma_gaus"+label+"_"+self.channel,7,1,15);
model_pdf = RooGaussian("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_gaus,rrv_sigma_gaus);
## Gaus for the higgs lineshape
if in_model_name == "Gaus_v1":
print "########### Gaus for Higgs mlvj ############"
if label=="_ggH600_signal_region" or label=="_ggH600_sb_lo":
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,580,550,620);
rrv_sigma_gaus = RooRealVar("rrv_sigma_gaus"+label+"_"+self.channel,"rrv_sigma_gaus"+label+"_"+self.channel,65,40,80);
if label=="_ggH700_signal_region" or label=="_ggH700_sb_lo":
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,700,650,750);
rrv_sigma_gaus = RooRealVar("rrv_sigma_gaus"+label+"_"+self.channel,"rrv_sigma_gaus"+label+"_"+self.channel,100,40,150);
if label=="_ggH800_signal_region" or label=="_ggH800_sb_lo":
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,800,750,850);
rrv_sigma_gaus = RooRealVar("rrv_sigma_gaus"+label+"_"+self.channel,"rrv_sigma_gaus"+label+"_"+self.channel,130,120,140);
if label=="_ggH900_signal_region" or label=="_ggH900_sb_lo":
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,900,850,900);
rrv_sigma_gaus = RooRealVar("rrv_sigma_gaus"+label+"_"+self.channel,"rrv_sigma_gaus"+label+"_"+self.channel,160,140,180);
if label=="_ggH1000_signal_region" or label=="_ggH1000_sb_lo":
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,920,900,1000);
rrv_sigma_gaus = RooRealVar("rrv_sigma_gaus"+label+"_"+self.channel,"rrv_sigma_gaus"+label+"_"+self.channel,200,100,300);
model_pdf = RooGaussian("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_gaus,rrv_sigma_gaus);
if in_model_name == "BifurGaus_v1":
print "########### BifurGaus for Higgs mlvj ############"
if label=="_ggH600_signal_region":
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,600,550,650);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,67,40,80);
rrv_sigma2_gaus = RooRealVar("rrv_sigma2_gaus"+label+"_"+self.channel,"rrv_sigma2_gaus"+label+"_"+self.channel,67,40,80);
if label=="_ggH700_signal_region":
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,700,650,750);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,100,40,150);
rrv_sigma2_gaus = RooRealVar("rrv_sigma2_gaus"+label+"_"+self.channel,"rrv_sigma2_gaus"+label+"_"+self.channel,100,40,150);
if label=="_ggH800_signal_region":
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,800,750,850);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,130,120,140);
rrv_sigma2_gaus = RooRealVar("rrv_sigma2_gaus"+label+"_"+self.channel,"rrv_sigma2_gaus"+label+"_"+self.channel,130,120,140);
if label=="_ggH900_signal_region":
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,900,850,900);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,160,140,180);
rrv_sigma2_gaus = RooRealVar("rrv_sigma2_gaus"+label+"_"+self.channel,"rrv_sigma2_gaus"+label+"_"+self.channel,160,140,180);
if label=="_ggH1000_signal_region":
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,920,900,1000);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,200,100,300);
rrv_sigma2_gaus = RooRealVar("rrv_sigma2_gaus"+label+"_"+self.channel,"rrv_sigma2_gaus"+label+"_"+self.channel,200,100,300);
model_pdf = RooBifurGauss("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_gaus,rrv_sigma1_gaus,rrv_sigma2_gaus);
## Crystal Ball for the W mass peak
if in_model_name == "CB":
print "########### Cystal Ball for mj fit ############"
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,84,78,88);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,7,4,10);
rrv_alpha_CB = RooRealVar("rrv_alpha_CB"+label+"_"+self.channel,"rrv_alpha_CB"+label+"_"+self.channel,-2,-4,-0.5);
rrv_n_CB = RooRealVar("rrv_n_CB"+label+"_"+self.channel,"rrv_n_CB"+label+"_"+self.channel,2,0.,4);
model_pdf = RooCBShape("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_CB,rrv_sigma_CB,rrv_alpha_CB,rrv_n_CB);
## Sum of two CB
if in_model_name == "SCB_v1":
print "########### Cystal Ball + Crystall Ball ############"
rrv_mean_SCB = RooRealVar("rrv_mean_SCB"+label+"_"+self.channel,"rrv_mean_SCB"+label+"_"+self.channel,800,550,1000);
rrv_sigma_SCB = RooRealVar("rrv_sigma_SCB"+label+"_"+self.channel,"rrv_sigma_SCB"+label+"_"+self.channel,70,40,300);
rrv_alpha1_SCB = RooRealVar("rrv_alpha1_SCB"+label+"_"+self.channel,"rrv_alpha1_SCB"+label+"_"+self.channel,-2,-4,-0.5);
rrv_alpha2_SCB = RooRealVar("rrv_alpha2_SCB"+label+"_"+self.channel,"rrv_alpha2_SCB"+label+"_"+self.channel,2,0.5,4);
rrv_n1_SCB = RooRealVar("rrv_n1_SCB"+label+"_"+self.channel,"rrv_n1_SCB"+label+"_"+self.channel,2,0.,4);
rrv_n2_SCB = RooRealVar("rrv_n2_SCB"+label+"_"+self.channel,"rrv_n2_SCB"+label+"_"+self.channel,2,0.,4);
frac = RooRealVar("rrv_frac_SSCB"+label+"_"+self.channel,"rrv_frac_SSCB"+label+"_"+self.channel,0.5)
scb1 = RooCBShape("model_pdf_scb1"+label+"_"+self.channel+mass_spectrum,"model_pdf_scb1"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_SCB,rrv_sigma_SCB,rrv_alpha1_SCB,rrv_n1_SCB);
scb2 = RooCBShape("model_pdf_scb2"+label+"_"+self.channel+mass_spectrum,"model_pdf_scb2"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_SCB,rrv_sigma_SCB,rrv_alpha2_SCB,rrv_n2_SCB);
model_pdf = RooAddPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,RooArgList(scb1,scb2),RooArgList(frac))
## Double Gaus for Bulk GR signal --> narrow width
if in_model_name == "2Gaus_sig":
print "########### Double Gauss for Bulk GR ############"
label_tstring=TString(label);
if label_tstring.Contains("600") and (not label_tstring.Contains("1600") ):
rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 600, 500, 700);
elif label_tstring.Contains("700") and (not label_tstring.Contains("1700") ):
rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 700, 600, 800);
elif label_tstring.Contains("800") and (not label_tstring.Contains("1800") ):
rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 800, 700, 900);
elif label_tstring.Contains("900") and (not label_tstring.Contains("1900") ):
rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 900, 800, 1000);
elif label_tstring.Contains("1000"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 1000, 900, 1100);
elif label_tstring.Contains("1100"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 1100, 1000, 1200);
elif label_tstring.Contains("1200"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 1200, 1100, 1300);
elif label_tstring.Contains("1300"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 1300, 1200, 1400);
elif label_tstring.Contains("1400"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 1400, 1300, 1500);
elif label_tstring.Contains("1500"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 1500, 1400, 1600);
elif label_tstring.Contains("1600"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 1600, 1500, 1700);
elif label_tstring.Contains("1700"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 1700, 1600, 1800);
elif label_tstring.Contains("1800"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 1800, 1700, 1900);
elif label_tstring.Contains("1900"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 1900, 1800, 2000);
elif label_tstring.Contains("2000"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 2000, 1900, 2100);
elif label_tstring.Contains("2100"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 2100, 2000, 2200);
elif label_tstring.Contains("2200"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 2200, 2100, 2300);
elif label_tstring.Contains("2300"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 2300, 2200, 2400);
elif label_tstring.Contains("2400"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 2400, 2300, 2500);
elif label_tstring.Contains("2500"): rrv_mean1_gaus=RooRealVar("rrv_mean_1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel, 2500, 2400, 2600);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,50,20,120);
gaus1 = RooGaussian("gaus1"+label+"_"+self.channel,"gaus1"+label+"_"+self.channel, rrv_x,rrv_mean1_gaus,rrv_sigma1_gaus);
rrv_deltamean_gaus = RooRealVar("rrv_deltamean_gaus"+label+"_"+self.channel,"rrv_deltamean_gaus"+label+"_"+self.channel,0,-50,50);
rrv_mean2_gaus = RooFormulaVar("rrv_mean2_gaus"+label+"_"+self.channel,"@0+@1",RooArgList(rrv_mean1_gaus, rrv_deltamean_gaus));
rrv_scalesigma_gaus = RooRealVar("rrv_scalesigma_gaus"+label+"_"+self.channel,"rrv_scalesigma_gaus"+label+"_"+self.channel,1,0.,10.);
rrv_sigma2_gaus = RooFormulaVar("rrv_sigma2_gaus"+label+"_"+self.channel,"@0*@1", RooArgList(rrv_sigma1_gaus,rrv_scalesigma_gaus));
gaus2 = RooGaussian("gaus2"+label+"_"+self.channel,"gaus2"+label+"_"+self.channel, rrv_x,rrv_mean2_gaus,rrv_sigma2_gaus);
rrv_frac = RooRealVar("rrv_frac"+label+"_"+self.channel,"rrv_frac"+label+"_"+self.channel,0.5,0.,1.);
model_pdf =RooAddPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,RooArgList(gaus1,gaus2),RooArgList(rrv_frac),1)
## Crystal ball shape for Bulk GR samples and higgs
if in_model_name == "CB_v1":
print "########### Crystal Ball for Higgs and Bulk GR mlvj ############"
label_tstring=TString(label);
if label_tstring.Contains("H600"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,600,580,620);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,67,40,80);
rrv_alpha_CB = RooRealVar("rrv_alpha_CB"+label+"_"+self.channel,"rrv_alpha_CB"+label+"_"+self.channel,-1,-4,0);
rrv_n_CB = RooRealVar("rrv_n_CB"+label+"_"+self.channel,"rrv_n_CB"+label+"_"+self.channel,20.,10,80 );
elif label_tstring.Contains("H700"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,700,650,750);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,100,40,150);
rrv_alpha_CB = RooRealVar("rrv_alpha_CB"+label+"_"+self.channel,"rrv_alpha_CB"+label+"_"+self.channel,-1,-3,-0.1);
rrv_n_CB = RooRealVar("rrv_n_CB"+label+"_"+self.channel,"rrv_n_CB"+label+"_"+self.channel,20.,10,40);
elif label_tstring.Contains("ggH800"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,780,700,850);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,140,120,160);
rrv_alpha_CB = RooRealVar("rrv_alpha_CB"+label+"_"+self.channel,"rrv_alpha_CB"+label+"_"+self.channel,-1,-4,0);
rrv_n_CB=RooRealVar("rrv_n_CB"+label+"_"+self.channel,"rrv_n_CB"+label+"_"+self.channel,5 , 2, 7);
elif label_tstring.Contains("vbfH800"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,800,750,850);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,140,120,160);
rrv_alpha_CB = RooRealVar("rrv_alpha_CB"+label+"_"+self.channel,"rrv_alpha_CB"+label+"_"+self.channel,-1,-4,0);
rrv_n_CB = RooRealVar("rrv_n_CB"+label+"_"+self.channel,"rrv_n_CB"+label+"_"+self.channel,5 , 2, 7);
elif label_tstring.Contains("ggH900"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,880,820,950);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,170,140,200);
rrv_alpha_CB = RooRealVar("rrv_alpha_CB"+label+"_"+self.channel,"rrv_alpha_CB"+label+"_"+self.channel,1,0,4);
rrv_n_CB = RooRealVar("rrv_n_CB"+label+"_"+self.channel,"rrv_n_CB"+label+"_"+self.channel, 2., 0.5,5);
elif label_tstring.Contains("vbfH900"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,900,880,920);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,170,140,200);
rrv_alpha_CB = RooRealVar("rrv_alpha_CB"+label+"_"+self.channel,"rrv_alpha_CB"+label+"_"+self.channel,1);
rrv_n_CB = RooRealVar("rrv_n_CB"+label+"_"+self.channel,"rrv_n_CB"+label+"_"+self.channel, 2., 0.5,5);
elif label_tstring.Contains("ggH1000"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,920,800,1150);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,200,100,300);
rrv_alpha_CB = RooRealVar("rrv_alpha_CB"+label+"_"+self.channel,"rrv_alpha_CB"+label+"_"+self.channel,1,0.1,3);
rrv_n_CB = RooRealVar("rrv_n_CB"+label+"_"+self.channel,"rrv_n_CB"+label+"_"+self.channel,2.,0.5,4);
elif label_tstring.Contains("vbfH1000"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,1000,980,1150);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,200,100,300);
rrv_alpha_CB = RooRealVar("rrv_alpha_CB"+label+"_"+self.channel,"rrv_alpha_CB"+label+"_"+self.channel,0.72);
rrv_n_CB = RooRealVar("rrv_n_CB"+label+"_"+self.channel,"rrv_n_CB"+label+"_"+self.channel,2.,0.5,4);
else:
if label_tstring.Contains("M600") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M600_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 600, 550, 650);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 30,10 ,80);
elif label_tstring.Contains("M700") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M700_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 700, 600, 800);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 30,10 ,80);
elif label_tstring.Contains("M800") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M800_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 800, 600, 800);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 40,10 ,90);
elif label_tstring.Contains("M900") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M900_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 900, 600, 800);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 40,10 ,90);
elif label_tstring.Contains("M1000") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M1000_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1000, 900,1100);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 50,20 ,120);
elif label_tstring.Contains("M1100") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M1100_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1100,1000,1200);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 50,20 ,120);
elif label_tstring.Contains("M1200") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M1200_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1200,1100,1300);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 50,20 ,120);
elif label_tstring.Contains("M1300") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M1300_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1300,1200,1400);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,65,45,120);
elif label_tstring.Contains("M1400") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M1400_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1400,1300,1500);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,70,45,130);
elif label_tstring.Contains("M1500") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M1500_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1500,1400,1600);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,75,50,145);
elif label_tstring.Contains("M1600") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M1600_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1600,1500,1700);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,80,55,160);
elif label_tstring.Contains("M1700") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M1700_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1700,1600,1800);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,85,60,175);
elif label_tstring.Contains("M1800") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M1800_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1800,1700,1900);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,90,65,190);
elif label_tstring.Contains("M1900") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M1900_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1900,1800,2000);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,95,70,200);
elif label_tstring.Contains("M2000") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M2000_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,2000,1900,2100);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,100,75,210);
elif label_tstring.Contains("M2100") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M2100_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,2100,2000,2200);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,105,80,225);
elif label_tstring.Contains("M2200") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M2200_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,2200,2100,2300);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,110,85,245);
elif label_tstring.Contains("M2300") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M2300_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,2300,2200,2400);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,115,90,250);
elif label_tstring.Contains("M2400") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M2400_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,2400,2300,2500);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,120,90,275);
elif label_tstring.Contains("M2500") and label_tstring.Contains("BulkG_WW") and not label_tstring.Contains("M2500_W") :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,2500,2400,2600);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,135,90,285);
elif label_tstring.Contains("M1000_W150") and label_tstring.Contains("BulkG_WW"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1000,500,1500);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 150,50 ,500);
elif label_tstring.Contains("M1000_W300") and label_tstring.Contains("BulkG_WW"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1000,500,1500);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 300,50 ,800);
elif label_tstring.Contains("M1000_W50") and label_tstring.Contains("BulkG_WW"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1000,500,1500);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 50,10 ,200);
elif label_tstring.Contains("M1500_W75") and label_tstring.Contains("BulkG_WW"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1500,1000,2000);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 75,50 ,250);
elif label_tstring.Contains("M1500_W225") and label_tstring.Contains("BulkG_WW"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1500,1000,2000);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 225,150 ,450);
elif label_tstring.Contains("M1500_W450") and label_tstring.Contains("BulkG_WW"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,1500,1000,2000);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 450,400 ,700);
elif label_tstring.Contains("M2100_W105") and label_tstring.Contains("BulkG_WW"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,2100,1500,2500);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 105,90 ,300);
elif label_tstring.Contains("M2100_W315") and label_tstring.Contains("BulkG_WW"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,2100,1500,2500);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 315,250 ,600);
elif label_tstring.Contains("M2100_W630") and label_tstring.Contains("BulkG_WW"):
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,2100,1500,2500);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 630,550 ,900);
else :
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_CB"+label+"_"+self.channel+"_"+self.wtagger_label,700,550,2500);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_CB"+label+"_"+self.channel+"_"+self.wtagger_label, 50,20 ,120);
rrv_alpha_CB = RooRealVar("rrv_alpha_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_alpha_CB"+label+"_"+self.channel+"_"+self.wtagger_label,4,1,5);
rrv_n_CB = RooRealVar("rrv_n_CB"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_n_CB"+label+"_"+self.channel+"_"+self.wtagger_label,20.,10,40);
model_pdf = RooCBShape("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_mean_CB,rrv_sigma_CB,rrv_alpha_CB,rrv_n_CB);
## Crystal ball shape for Bulk GR samples and higgs
if in_model_name == "BWCB":
print "########### Crystal Ball x Breit Wigner for Bulk Graviton width ############"
label_tstring=TString(label);
if label_tstring.Contains("M1000_W50") and label_tstring.Contains("BulkG_WW"):
rrv_mean_BW = RooRealVar("rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label, 1000);
rrv_width_BW = RooRealVar("rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label, 50);
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,0.,0.,50.);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,50,0,200);
elif label_tstring.Contains("M1000_W150") and label_tstring.Contains("BulkG_WW"):
rrv_mean_BW = RooRealVar("rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label, 1000);
rrv_width_BW = RooRealVar("rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label, 150);
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,0.,0.,50.);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,50,0,200);
elif label_tstring.Contains("M1000_W300") and label_tstring.Contains("BulkG_WW"):
rrv_mean_BW = RooRealVar("rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label, 1000);
rrv_width_BW = RooRealVar("rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label, 300);
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,0.,0.,50.);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,50,0,200);
elif label_tstring.Contains("M1500_W75") and label_tstring.Contains("BulkG_WW"):
rrv_mean_BW = RooRealVar("rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,1500);
rrv_sigma_BW = RooRealVar("rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label, 175,50 ,300);
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,0.,0.,50.);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,100,0,300);
elif label_tstring.Contains("M1500_W225") and label_tstring.Contains("BulkG_WW"):
rrv_mean_BW = RooRealVar("rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,1500,1000,2000);
rrv_sigma_BW = RooRealVar("rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label, 225,150 ,450);
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,0.,0.,80.);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,100,0,250);
elif label_tstring.Contains("M1500_W450") and label_tstring.Contains("BulkG_WW"):
rrv_mean_BW = RooRealVar("rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,1500,1000,2000);
rrv_sigma_BW = RooRealVar("rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label, 450,150 ,450);
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,0.,0.,80.);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,100,0,250);
elif label_tstring.Contains("M2100_W105") and label_tstring.Contains("BulkG_WW"):
rrv_mean_BW = RooRealVar("rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,2100,1000,2000);
rrv_sigma_BW = RooRealVar("rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_sigma_BW"+label+"_"+self.channel+"_"+self.wtagger_label, 105,150 ,450);
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,0.,0.,80.);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,150,0,250);
elif label_tstring.Contains("M2100_W315") and label_tstring.Contains("BulkG_WW"):
rrv_mean_BW = RooRealVar("rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,"rrv_mean_BW"+label+"_"+self.channel+"_"+self.wtagger_label,2100,1000,2000);