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g1_wtagger_doFit_class.py
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g1_wtagger_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, RooHistPdf,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 #
############################################
def foo_callback(option, opt, value, parser):
setattr(parser.values, option.dest, value.split(','))
parser = OptionParser()
parser.add_option('-a', '--additioninformation',action="store",type="string",dest="additioninformation",default="EXO")
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('-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('--fitwtagger', action='store_true', dest='fitwtagger', default=True, help='fit wtagger jet in ttbar control sample')
parser.add_option('--fitwtaggersim', action='store_true', dest='fitwtaggersim', default=False, help='fit wtagger jet in ttbar control sample with mu and el samples simultaneously')
parser.add_option('--inPath', action="store",type="string",dest="inPath",default="./")
parser.add_option('--category', action="store",type="string",dest="category",default="HP")
parser.add_option('--herwig', action="store",type="int",dest="herwig",default=0)
parser.add_option('--pTbin', action="callback",callback=foo_callback,type="string",dest="pTbin",default="")
(options, args) = parser.parse_args()
ROOT.gSystem.Load(options.inPath+"/PDFs/HWWLVJRooPdfs_cxx.so")
ROOT.gSystem.Load(options.inPath+"/PDFs/PdfDiagonalizer_cc.so")
ROOT.gSystem.Load(options.inPath+"/PDFs/Util_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
###############################
## doFit Class Implemetation ##
###############################
class doFit_wj_and_wlvj:
## contructor taking channel, signal name, range in mj, label and a workspace
def __init__(self, in_channel,in_signal_sample, in_mj_min=30, in_mj_max=140, label="", input_workspace=None):
print " "
print "#####################################################"
print "## Constructor of the fit object doFit_wj_and_wlvj ##"
print "#####################################################"
print " "
#set plots style
self.setTDRStyle();
RooAbsPdf.defaultIntegratorConfig().setEpsRel(1e-9) ;
RooAbsPdf.defaultIntegratorConfig().setEpsAbs(1e-9) ;
### set the channel type --> electron or muon
self.channel=in_channel;
### Set the mj binning for plots
self.BinWidth_mj=5.;
#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.;
## set the range max properly in order to have a integer number of bins
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;
## declare the RooRealVar + binning
rrv_mass_j = RooRealVar("rrv_mass_j","pruned m_{J}",(in_mj_min+in_mj_max)/2.,in_mj_min,in_mj_max,"GeV/c^{2}");
rrv_mass_j.setBins(nbins_mj);
## create the workspace and import the variable
if input_workspace is None:
self.workspace4fit_ = RooWorkspace("workspace4fit"+label+"_","Workspace4fit"+label+"_");
else:
self.workspace4fit_ = input_workspace;
getattr(self.workspace4fit_,"import")(rrv_mass_j);
## Region definition --> signal region between 65 and 105 GeV
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;
## define ranges on mj
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("controlsample_fitting_range",40,130);
## directory where are the trees to be run
self.file_Directory="AnaSigTree_forTT_new/";
## taking the root file for data and mc
self.file_data=("treeEDBR_data_xww.root");
self.signal_sample=in_signal_sample;
self.file_signal=("treeEDBR_%s_xww.root"%(self.signal_sample));
self.file_pseudodata=("treeEDBR_allBkg_xww.root");
#WJets0 is the default PS model, WJets1 is the alternative PS model
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");#single Top
## Define the workin poit on the N-subjettines cut
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.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.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;
self.color_palet={ #color palet
'data' : 1,
'WJets' : 2,
'VV' : 4,
'STop' : 7,
'TTbar' : 210,
'TTbar_herwig' :53,
'ggH' : 1,
'vbfH' : 12,
'Signal': 1,
'Uncertainty' : kBlack,
'Other_Backgrounds' : kBlue
}
## Some basic cut vaule
self.vpt_cut = 200; ## hadronic and leptonic W cut
self.mass_lvj_max = 3000.; ## invariant mass of 3 body max
self.mass_lvj_min = 200.; ## invariant mass of 3 body min
self.pfMET_cut = 50; ## missing transverse energy
self.lpt_cut = 50; ## lepton pT
self.deltaPhi_METj_cut = 2.0;
## binning in the W jet pT for differential SF study in bins of pT
if options.pTbin != "" :
self.ca8_ungroomed_pt_min = int(options.pTbin[0]);
self.ca8_ungroomed_pt_max = int(options.pTbin[1]);
else:
self.ca8_ungroomed_pt_min = 200;
self.ca8_ungroomed_pt_max = 10000;
## tighter cut for the electron channel
if self.channel=="el":
self.pfMET_cut= 80; self.lpt_cut = 90;
## out txt file with info about fit and event couting
self.file_ttbar_control_txt = "ttbar_control_%s_%s_wtaggercut%s_g1.txt"%(self.signal_sample,self.channel,self.wtagger_label);
self.file_out_ttbar_control=open(self.file_ttbar_control_txt,"w");
## 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=[]):
if TString(mass_spectrum).Contains("_mj"): rrv_x = self.workspace4fit_.var("rrv_mass_j"); ## inport the mass spectrum variable as rrv_x
## Voigtian Pdf
if in_model_name == "Voig":
rrv_mean_voig = RooRealVar("rrv_mean_voig"+label+"_"+self.channel,"rrv_mean_voig"+label+"_"+self.channel,84,78,88);# W mass: 80.385
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);
## Breit Wigner Pdf
if in_model_name == "BW":
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);
## Double Voigtian W + Z mass peak
if in_model_name == "2Voig":
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,0.);
rrv_frac=RooRealVar("rrv_frac"+label+"_"+self.channel,"rrv_frac"+label+"_"+self.channel,0.5,0.,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));
## Gaussian function
if in_model_name == "Gaus":
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,84,78,92);
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);
## Crystal Ball function
if in_model_name == "CB":
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,7,4,15);
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);
## Convolution BW with a CB
if in_model_name == "CBBW": # FFT: BreitWigner*CBShape
rrv_mean_CB = RooRealVar("rrv_mean_CB"+label+"_"+self.channel,"rrv_mean_CB"+label+"_"+self.channel,84.0,78,88);
rrv_sigma_CB = RooRealVar("rrv_sigma_CB"+label+"_"+self.channel,"rrv_sigma_CB"+label+"_"+self.channel,7,4,15);
rrv_alpha_CB = RooRealVar("rrv_alpha_CB"+label+"_"+self.channel,"rrv_alpha_CB"+label+"_"+self.channel,-2,-4,-1);
rrv_n_CB = RooRealVar("rrv_n_CB"+label+"_"+self.channel,"rrv_n_CB"+label+"_"+self.channel,0.5,0.,2);
cbshape = RooCBShape("cbshape"+label+"_"+self.channel,"cbshape"+label+"_"+self.channel, rrv_x,rrv_mean_CB,rrv_sigma_CB,rrv_alpha_CB,rrv_n_CB);
rrv_mean_BW = RooRealVar("rrv_mean_BW"+label+"_"+self.channel,"rrv_mean_BW"+label+"_"+self.channel,0);
rrv_width_BW = RooRealVar("rrv_width_BW"+label+"_"+self.channel,"rrv_width_BW"+label+"_"+self.channel,10,5,20);
bwshape = RooBreitWigner("bw"+label+"_"+self.channel,"bw"+label+"_"+self.channel, rrv_x,rrv_mean_BW,rrv_width_BW);
model_pdf = RooFFTConvPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x, cbshape, bwshape);
## Convolution between landau and gaussian
if in_model_name == "LDGaus": # FFT: Landau*Gaus
rrv_mean_landau = RooRealVar("rrv_mean_landau"+label+"_"+self.channel,"rrv_mean_landau"+label+"_"+self.channel,84.0,78,88);
rrv_sigma_landau = RooRealVar("rrv_sigma_landau"+label+"_"+self.channel,"rrv_sigma_landau"+label+"_"+self.channel,7,4,15);
landau = RooLandau("landau"+label+"_"+self.channel,"landau"+label+"_"+self.channel, rrv_x,rrv_mean_landau,rrv_sigma_landau);
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,0);
rrv_sigma_gaus=RooRealVar("rrv_sigma_gaus"+label+"_"+self.channel,"rrv_sigma_gaus"+label+"_"+self.channel,16,10,20);
gaus = RooGaussian("gaus"+label+"_"+self.channel,"gaus"+label+"_"+self.channel, rrv_x,rrv_mean_gaus,rrv_sigma_gaus);
model_pdf = RooFFTConvPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x, landau, gaus);
## Product between Erf and Expnential
if in_model_name == "ErfExp" :
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,-0.05,-0.1, -1.e-4);
rrv_offset_ErfExp = RooRealVar("rrv_offset_ErfExp"+label+"_"+self.channel,"rrv_offset_ErfExp"+label+"_"+self.channel,60.,30.,120);
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel,30.,10.,60.);
model_pdf = ROOT.RooErfExpPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,rrv_x,rrv_c_ErfExp,rrv_offset_ErfExp,rrv_width_ErfExp);
if in_model_name == "ErfExp_2" :
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,-0.05,-0.2,-1e-4);
rrv_offset_ErfExp = RooRealVar("rrv_offset_ErfExp"+label+"_"+self.channel,"rrv_offset_ErfExp"+label+"_"+self.channel,85.,25.,98);
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel,45.,20, 70.);
model_pdf = ROOT.RooErfExpPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,rrv_x,rrv_c_ErfExp,rrv_offset_ErfExp,rrv_width_ErfExp);
## ErfExp + Gaussian
if in_model_name == "ErfExpGaus":
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,-0.05,-0.4,0.);
rrv_offset_ErfExp = RooRealVar("rrv_offset_ErfExp"+label+"_"+self.channel,"rrv_offset_ErfExp"+label+"_"+self.channel,100.,10.,300.);
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel,30.,10,100.);
erfExp = ROOT.RooErfExpPdf("erfExp"+label+"_"+self.channel,"erfExp"+label+"_"+self.channel,rrv_x,rrv_c_ErfExp,rrv_offset_ErfExp,rrv_width_ErfExp);
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,82,78,87);
rrv_sigma_gaus = RooRealVar("rrv_sigma_gaus"+label+"_"+self.channel,"rrv_sigma_gaus"+label+"_"+self.channel,7,4,10);
gaus = RooGaussian("gaus"+label+"_"+self.channel,"gaus"+label+"_"+self.channel, rrv_x,rrv_mean_gaus,rrv_sigma_gaus);
rrv_high = RooRealVar("rrv_high"+label+"_"+self.channel,"rrv_high"+label+"_"+self.channel,0.7,0.,1.);
model_pdf =RooAddPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,RooArgList(erfExp,gaus),RooArgList(rrv_high))
if in_model_name == "ErfExpGaus_sp":#offset == mean
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,-0.05,-0.2,0.);
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel,30.,10,200.);
rrv_mean1_gaus = RooRealVar("rrv_mean1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel,84,78,88);
erfExp = ROOT.RooErfExpPdf("erfExp"+label+"_"+self.channel,"erfExp"+label+"_"+self.channel,rrv_x,rrv_c_ErfExp,rrv_mean1_gaus,rrv_width_ErfExp);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,7,4,10);
gaus = RooGaussian("gaus"+label+"_"+self.channel,"gaus"+label+"_"+self.channel, rrv_x,rrv_mean1_gaus,rrv_sigma1_gaus);
rrv_high = RooRealVar("rrv_high"+label+"_"+self.channel,"rrv_high"+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(erfExp,gaus),RooArgList(rrv_high))
## Exp +Gaus
if in_model_name == "ExpGaus":
rrv_c_Exp = RooRealVar("rrv_c_ExpGaus"+label+"_"+self.channel,"rrv_c_ExpGaus"+label+"_"+self.channel,0.05,-0.5,0.5);
exp = ROOT.RooExponential("ExpGaus"+label+"_"+self.channel,"ExpGaus"+label+"_"+self.channel,rrv_x,rrv_c_Exp);
rrv_mean1_gaus = RooRealVar("rrv_mean1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel,84,78,92);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,7,4,16);
gaus = RooGaussian("gaus"+label+"_"+self.channel,"gaus"+label+"_"+self.channel, rrv_x,rrv_mean1_gaus,rrv_sigma1_gaus);
rrv_high = RooRealVar("rrv_high"+label+"_"+self.channel,"rrv_high"+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(exp,gaus),RooArgList(rrv_high))
## Erf*Exp + Gaus
if in_model_name == "ErfExpGaus_v0":
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,-0.05,-0.2,0.);
rrv_offset_ErfExp = RooRealVar("rrv_offset_ErfExp"+label+"_"+self.channel,"rrv_offset_ErfExp"+label+"_"+self.channel,100.,10.,140.);
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel,30.,10,100.);
erfExp = ROOT.RooErfExpPdf("erfExp"+label+"_"+self.channel,"erfExp"+label+"_"+self.channel,rrv_x,rrv_c_ErfExp,rrv_offset_ErfExp,rrv_width_ErfExp);
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,7,4,10);
gaus = RooGaussian("gaus"+label+"_"+self.channel,"gaus"+label+"_"+self.channel, rrv_x,rrv_mean_gaus,rrv_sigma_gaus);
rrv_high = RooRealVar("rrv_high"+label+"_"+self.channel,"rrv_high"+label+"_"+self.channel,0.7,0.,1.);
model_pdf = RooAddPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,RooArgList(erfExp,gaus),RooArgList(rrv_high))
if in_model_name == "ErfExpGaus_v2":
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,-0.05,-10.,0.);
rrv_offset_ErfExp = RooRealVar("rrv_offset_ErfExp"+label+"_"+self.channel,"rrv_offset_ErfExp"+label+"_"+self.channel,100.,10.,140.);
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel,30.,10,100.);
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,7,4,10);
rrv_high = RooRealVar("rrv_high"+label+"_"+self.channel,"rrv_high"+label+"_"+self.channel,200.,0.,1000.);
model_pdf = ROOT.RooErfExp_Gaus_Pdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_c_ErfExp,rrv_offset_ErfExp,rrv_width_ErfExp,rrv_mean_gaus,rrv_sigma_gaus,rrv_high );
## Erf*exp + 2Gaus
if in_model_name == "ErfExp2Gaus":
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,-0.05,-0.2,0.);
rrv_offset_ErfExp = RooRealVar("rrv_offset_ErfExp"+label+"_"+self.channel,"rrv_offset_ErfExp"+label+"_"+self.channel,100.,10.,140.);
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel,30.,10,100.);
erfExp = ROOT.RooErfExpPdf("erfExp"+label+"_"+self.channel,"erfExp"+label+"_"+self.channel,rrv_x,rrv_c_ErfExp,rrv_offset_ErfExp,rrv_width_ErfExp);
rrv_mean1_gaus=RooRealVar("rrv_mean1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel,84,78,88);
rrv_mean2_gaus=RooRealVar("rrv_mean2_gaus"+label+"_"+self.channel,"rrv_mean2_gaus"+label+"_"+self.channel,180,170,190);
rrv_sigma1_gaus=RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,7,4,10);
rrv_sigma2_gaus=RooRealVar("rrv_sigma2_gaus"+label+"_"+self.channel,"rrv_sigma2_gaus"+label+"_"+self.channel,10,7,15);
gaus1 = RooGaussian("gaus1"+label+"_"+self.channel,"gaus1"+label+"_"+self.channel, rrv_x,rrv_mean1_gaus,rrv_sigma1_gaus);
gaus2 = RooGaussian("gaus2"+label+"_"+self.channel,"gaus2"+label+"_"+self.channel, rrv_x,rrv_mean2_gaus,rrv_sigma2_gaus);
rrv_high1 = RooRealVar("rrv_high1"+label+"_"+self.channel,"rrv_high1"+label+"_"+self.channel,0.6,0.,1.);
rrv_high2 = RooRealVar("rrv_high2"+label+"_"+self.channel,"rrv_high2"+label+"_"+self.channel,0.4,0.,1.);
model_pdf = RooAddPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,RooArgList(erfExp,gaus1,gaus2),RooArgList(rrv_high1,rrv_high2))
if in_model_name == "2Gaus": ## double gaussian for the resonant of mJ
rrv_mean1_gaus = RooRealVar("rrv_mean1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel,83.5, 80., 86.5);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,7.6,3.5,10.);
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, 4.5, 0.,9.);
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,3.,0.,5.5);
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)
if in_model_name == "GausChebychev":
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,83.5, 80., 86.5);
rrv_sigma_gaus = RooRealVar("rrv_sigma_gaus"+label+"_"+self.channel,"rrv_sigma_gaus"+label+"_"+self.channel,7.6,3.5,30.);
gaus = RooGaussian("gaus"+label+"_"+self.channel,"gaus"+label+"_"+self.channel, rrv_x,rrv_mean_gaus,rrv_sigma_gaus);
rrv_p0_cheb = RooRealVar("rrv_p0_cheb"+label+"_"+self.channel,"rrv_p0_cheb"+label+"_"+self.channel, -0.3, -30., 30.)
rrv_p1_cheb = RooRealVar("rrv_p1_cheb"+label+"_"+self.channel,"rrv_p1_cheb"+label+"_"+self.channel, -0.1, -30., 30.)
cheb = RooChebychev("cheb"+label+"_"+self.channel,"cheb"+label+"_"+self.channel, rrv_x, RooArgList(rrv_p0_cheb, rrv_p1_cheb) );
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(gaus,cheb),RooArgList(rrv_frac),1)
if in_model_name == "Exp":
rrv_c_Exp = RooRealVar("rrv_c_Exp"+label+"_"+self.channel,"rrv_c_Exp"+label+"_"+self.channel, -0.05, -0.2, 0.);
model_pdf = ROOT.RooExponential("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,rrv_x,rrv_c_Exp);
if in_model_name == "2_2Gaus":# 2Gaus + 2Gaus for the resonant W and Z part of the mJ spectra
mean1_tmp =8.3145e+01; mean1_tmp_err =1.63e-01;
deltamean_tmp =6.6321e+00; deltamean_tmp_err =1.21e+00;
sigma1_tmp =7.5097e+00; sigma1_tmp_err =2.01e-01;
scalesigma_tmp=3.8707e+00; scalesigma_tmp_err=2.20e-01;
frac_tmp =6.4728e-01; frac_tmp_err =2.03e-02;
if self.wtagger_cut==0.50:
mean1_tmp =8.3141e+01; mean1_tmp_err =1.63e-01;
deltamean_tmp =6.9129e+00; deltamean_tmp_err =1.24e+00;
sigma1_tmp =7.5145e+00; sigma1_tmp_err =1.99e-01;
scalesigma_tmp=3.6819e+00; scalesigma_tmp_err=2.11e-01;
frac_tmp =6.7125e-01; frac_tmp_err =2.09e-02;
rrv_shift = RooRealVar("rrv_shift"+label+"_"+self.channel,"rrv_shift"+label+"_"+self.channel,10.8026) # Z mass: 91.1876; shift=91.1876-80.385=10.8026
rrv_mean1_gaus = RooRealVar("rrv_mean1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel,mean1_tmp, mean1_tmp-4, mean1_tmp+4);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,sigma1_tmp, sigma1_tmp-4,sigma1_tmp+4 );
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.,-8,10);
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,scalesigma_tmp, scalesigma_tmp-scalesigma_tmp_err*4, scalesigma_tmp+scalesigma_tmp_err*4);
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_frac1 = RooRealVar("rrv_frac1"+label+"_"+self.channel,"rrv_frac1"+label+"_"+self.channel,frac_tmp, frac_tmp-frac_tmp_err*4, frac_tmp+frac_tmp_err*4);
gausguas_1 = RooAddPdf("gausguas_1"+label+"_"+self.channel+mass_spectrum,"gausguas_1"+label+"_"+self.channel+mass_spectrum,RooArgList(gaus1,gaus2),RooArgList(rrv_frac1),1)
rrv_mean3_gaus = RooFormulaVar("rrv_mean3_gaus"+label+"_"+self.channel,"@0+@1",RooArgList(rrv_mean1_gaus, rrv_shift));
rrv_mean4_gaus = RooFormulaVar("rrv_mean4_gaus"+label+"_"+self.channel,"@0+@1",RooArgList(rrv_mean2_gaus, rrv_shift));
gaus3 = RooGaussian("gaus3"+label+"_"+self.channel,"gaus3"+label+"_"+self.channel, rrv_x,rrv_mean3_gaus,rrv_sigma1_gaus);
gaus4 = RooGaussian("gaus4"+label+"_"+self.channel,"gaus4"+label+"_"+self.channel, rrv_x,rrv_mean4_gaus,rrv_sigma2_gaus);
gausguas_2 = RooAddPdf("gausguas_2"+label+"_"+self.channel+mass_spectrum,"gausguas_2"+label+"_"+self.channel+mass_spectrum,RooArgList(gaus3,gaus4),RooArgList(rrv_frac1),1)
rrv_frac = RooRealVar("rrv_frac"+label+"_"+self.channel,"rrv_frac"+label+"_"+self.channel,0.74)#,0.5,1.0);
model_pdf = RooAddPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,RooArgList(gausguas_1,gausguas_2),RooArgList(rrv_frac),1)
## ErfExp + 2Gaus
if in_model_name == "2Gaus_ErfExp":
mean1_tmp =8.3145e+01; mean1_tmp_err =1.63e-01;
deltamean_tmp =6.6321e+00; deltamean_tmp_err =1.21e+00;
sigma1_tmp =7.5097e+00; sigma1_tmp_err =2.01e-01;
scalesigma_tmp=3.8707e+00; scalesigma_tmp_err=2.20e-01;
frac_tmp =6.4728e-01; frac_tmp_err =2.03e-02;
if self.wtagger_cut==0.50:
mean1_tmp =8.3141e+01; mean1_tmp_err =1.63e-01;
deltamean_tmp =6.9129e+00; deltamean_tmp_err =1.24e+00;
sigma1_tmp =7.5145e+00; sigma1_tmp_err =1.99e-01;
scalesigma_tmp=3.6819e+00; scalesigma_tmp_err=2.11e-01;
frac_tmp =6.7125e-01; frac_tmp_err =2.09e-02;
rrv_mean1_gaus = RooRealVar("rrv_mean1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel,mean1_tmp, mean1_tmp-4, mean1_tmp+4);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,sigma1_tmp, sigma1_tmp-4,sigma1_tmp+4 );
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,deltamean_tmp)#, deltamean_tmp, deltamean_tmp);
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,scalesigma_tmp)#, scalesigma_tmp, scalesigma_tmp);
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_2gaus = RooRealVar("rrv_frac_2gaus"+label+"_"+self.channel,"rrv_frac_2gaus"+label+"_"+self.channel,frac_tmp);#, frac_tmp-frac_tmp_err*4, frac_tmp+frac_tmp_err*4);
c0_tmp = -2.8628e-02 ; c0_tmp_err = 6.08e-03;
offset_tmp= 7.6259e+01 ; offset_tmp_err = 9.17e+00;
width_tmp = 3.4207e+01 ; width_tmp_err = 3.18e+00;
if self.wtagger_cut==0.50:
c0_tmp = -2.9893e-02 ; c0_tmp_err = 6.83e-03;
offset_tmp= 7.9350e+01 ; offset_tmp_err = 9.35e+00;
width_tmp = 3.3083e+01 ; width_tmp_err = 2.97e+00;
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,c0_tmp, c0_tmp-4e-2, c0_tmp+4e-2 );
rrv_offset_ErfExp= RooRealVar("rrv_offset_ErfExp"+label+"_"+self.channel,"rrv_offset_ErfExp"+label+"_"+self.channel, offset_tmp)#, offset_tmp-offset_tmp_err*4,offset_tmp+offset_tmp_err*4);
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel, width_tmp, width_tmp-10, width_tmp+10);
erfexp = ROOT.RooErfExpPdf("erfexp"+label+"_"+self.channel+mass_spectrum,"erfexp"+label+"_"+self.channel+mass_spectrum,rrv_x,rrv_c_ErfExp,rrv_offset_ErfExp,rrv_width_ErfExp);
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(erfexp, gaus1,gaus2),RooArgList(rrv_frac, rrv_frac_2gaus),1)
## 2Gaus per ttbar fit
if in_model_name == "2Gaus_ttbar":
mean1_tmp = 8.3141e+01; mean1_tmp_err = 1.63e-01;
deltamean_tmp = 6.9129e+00; deltamean_tmp_err = 1.24e+00;
sigma1_tmp = 7.5145e+00; sigma1_tmp_err = 1.99e-01;
scalesigma_tmp = 3.6819e+00; scalesigma_tmp_err = 2.11e-01;
frac_tmp = 6.7125e-01; frac_tmp_err = 2.09e-02;
if TString(label).Contains("herwig") and not TString(label).Contains("data"):
mean1_tmp = 8.3141e+01; mean1_tmp_err = 1.63e-01;
deltamean_tmp = 6.9129e+00; deltamean_tmp_err = 1.24e+00;
sigma1_tmp = 7.5145e+00; sigma1_tmp_err = 1.99e-01;
scalesigma_tmp = 3.6819e+00; scalesigma_tmp_err= 2.11e-01;
frac_tmp = 6.7125e-01; frac_tmp_err = 2.09e-02;
## constrain the peak and the width among electron and muon channel to be the same in case of simultaneous fit
if self.channel=="el":
if self.workspace4fit_.var("rrv_mean1_gaus%s_mu"%(label)) and self.workspace4fit_.var("rrv_sigma1_gaus%s_mu"%(label)):
rrv_mean1_gaus = self.workspace4fit_.var("rrv_mean1_gaus%s_mu"%(label));
rrv_sigma1_gaus = self.workspace4fit_.var("rrv_sigma1_gaus%s_mu"%(label));
else:
rrv_mean1_gaus = RooRealVar("rrv_mean1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel,mean1_tmp, mean1_tmp-4, mean1_tmp+4);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,sigma1_tmp, sigma1_tmp-4,sigma1_tmp+4);
if self.channel=="mu":
if self.workspace4fit_.var("rrv_mean1_gaus%s_el"%(label)) and self.workspace4fit_.var("rrv_sigma1_gaus%s_el"%(label)):
rrv_mean1_gaus = self.workspace4fit_.var("rrv_mean1_gaus%s_el"%(label));
rrv_sigma1_gaus = self.workspace4fit_.var("rrv_sigma1_gaus%s_el"%(label));
else:
rrv_mean1_gaus = RooRealVar("rrv_mean1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel,mean1_tmp, mean1_tmp-4, mean1_tmp+4);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,sigma1_tmp, sigma1_tmp-4,sigma1_tmp+4 );
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,deltamean_tmp)#,deltamean_tmp-deltamean_tmp_err*5, deltamean_tmp+deltamean_tmp_err*5);
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,scalesigma_tmp)#,scalesigma_tmp-scalesigma_tmp_err*4, scalesigma_tmp+scalesigma_tmp_err*4);
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,frac_tmp)#,frac_tmp-frac_tmp_err*4, frac_tmp+frac_tmp_err*4);
model_pdf = RooAddPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,RooArgList(gaus1,gaus2),RooArgList(rrv_frac),1)
## Gaus + pol 2 background for resonant part in the fail sample
if in_model_name == "GausChebychev_ttbar_failtau2tau1cut":
p0_tmp = -3.5459e-01; p0_tmp_err = 5.04e-02;
p1_tmp = -1.2790e-01; p1_tmp_err = 6.74e-02;
frac_tmp = 2.7324e-01; frac_tmp_err = 2.48e-02;
if TString(label).Contains("herwig") and not TString(label).Contains("data") and self.channel == "mu":
p0_tmp = -6.6824e-01; p0_tmp_err = 5.04e-02;
p1_tmp = -5.3365e-02; p1_tmp_err = 6.74e-02;
frac_tmp = 2.0421e-01; frac_tmp_err = 2.48e-02;
## take the same gaussian used in the pass sample
if TString(label).Contains("data") and not TString(label).Contains("herwig"):
gaus = self.workspace4fit_.pdf("gaus1_ttbar_data_"+self.channel);
if TString(label).Contains("TotalMC") and not TString(label).Contains("herwig"):
gaus = self.workspace4fit_.pdf("gaus1_ttbar_TotalMC_"+self.channel);
if TString(label).Contains("data") and TString(label).Contains("herwig"):
gaus = self.workspace4fit_.pdf("gaus1_ttbar_data_herwig_"+self.channel);
if TString(label).Contains("TotalMC") and TString(label).Contains("herwig"):
gaus = self.workspace4fit_.pdf("gaus1_ttbar_TotalMC_herwig_"+self.channel);
rrv_p0_cheb = RooRealVar("rrv_p0_cheb"+label+"_"+self.channel,"rrv_p0_cheb"+label+"_"+self.channel,p0_tmp)#,p0_tmp-p0_tmp_err*4,p0_tmp+p0_tmp_err*4);
rrv_p1_cheb = RooRealVar("rrv_p1_cheb"+label+"_"+self.channel,"rrv_p1_cheb"+label+"_"+self.channel,p1_tmp)#,p1_tmp-p1_tmp_err*4,p1_tmp+p1_tmp_err*4);
cheb = RooChebychev("cheb"+label+"_"+self.channel,"cheb"+label+"_"+self.channel, rrv_x, RooArgList(rrv_p0_cheb, rrv_p1_cheb) );
rrv_frac = RooRealVar("rrv_frac"+label+"_"+self.channel,"rrv_frac"+label+"_"+self.channel,frac_tmp)#,frac_tmp-frac_tmp_err*4,frac_tmp+frac_tmp_err*4);
model_pdf = RooAddPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,RooArgList(gaus,cheb),RooArgList(rrv_frac),1)
## double gauss for fail sample
if in_model_name == "2Gaus_ttbar_failtau2tau1cut":
mean1_tmp = 8.3209e+01; mean1_tmp_err = 1.17e-01;
deltamean_tmp = 1.1427e+00; deltamean_tmp_err = 1.03e+00;
sigma1_tmp = 7.4932e+00; sigma1_tmp_err = 1.44e-01;
scalesigma_tmp = 4.5922e+00; scalesigma_tmp_err = 2.87e-01;
frac_tmp = 5.7910e-01; frac_tmp_err = 1.59e-02;
rrv_mean1_gaus = RooRealVar("rrv_mean1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel,mean1_tmp, mean1_tmp-4, mean1_tmp+4);
rrv_sigma1_gaus = RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,sigma1_tmp, sigma1_tmp-4,sigma1_tmp+4 );
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,deltamean_tmp, deltamean_tmp-deltamean_tmp_err*4, deltamean_tmp+deltamean_tmp_err*4);
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,scalesigma_tmp, scalesigma_tmp-scalesigma_tmp_err*4, scalesigma_tmp+scalesigma_tmp_err*4);
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,frac_tmp, frac_tmp-frac_tmp_err*4, frac_tmp+frac_tmp_err*4);
model_pdf = RooAddPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,RooArgList(gaus1,gaus2),RooArgList(rrv_frac),1)
## Erf*Exp in the ttbar sample
if in_model_name == "ErfExp_ttbar":
c0_tmp = -2.9893e-02 ; c0_tmp_err = 6.83e-03;
offset_tmp = 7.9350e+01 ; offset_tmp_err = 9.35e+00;
width_tmp = 3.3083e+01 ; width_tmp_err = 2.97e+00;
if TString(label).Contains("herwig") and not TString(label).Contains("data"):
c0_tmp = -2.9357e-02 ; c0_tmp_err = 6.83e-03;
offset_tmp = 7.9350e+01 ; offset_tmp_err = 9.35e+00;
width_tmp = 3.3216e+01 ; width_tmp_err = 2.97e+00;
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,c0_tmp,c0_tmp-4e-2, c0_tmp+4e-2 );
rrv_offset_ErfExp = RooRealVar("rrv_offset_ErfExp"+label+"_"+self.channel,"rrv_offset_ErfExp"+label+"_"+self.channel, offset_tmp,offset_tmp-offset_tmp_err*4,offset_tmp+offset_tmp_err*4);
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel, width_tmp,width_tmp-10, width_tmp+10);
model_pdf = ROOT.RooErfExpPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,rrv_x,rrv_c_ErfExp,rrv_offset_ErfExp,rrv_width_ErfExp);
## Constrint the parameter within one sigma on the background part of the non resonant component in the pass sample
self.addConstraint(rrv_c_ErfExp,c0_tmp, c0_tmp_err,ConstraintsList);
self.addConstraint(rrv_offset_ErfExp,offset_tmp, offset_tmp_err,ConstraintsList);
self.addConstraint(rrv_width_ErfExp,width_tmp, width_tmp_err,ConstraintsList);
## Erf*Exp for failing events
if in_model_name == "ErfExp_ttbar_failtau2tau1cut":
c0_tmp = -1.0143e-01 ; c0_tmp_err = 1.46e-02;
offset_tmp = 2.7718e+02 ; offset_tmp_err = 4.92e+01;
width_tmp = 7.1891e+01 ; width_tmp_err = 4.69e+00;
if TString(label).Contains("herwig") and not TString(label).Contains("data"):
c0_tmp = -1.0141e-01 ; c0_tmp_err = 1.46e-02;
offset_tmp = 2.6730e+02 ; offset_tmp_err = 4.92e+01;
width_tmp = 7.1505e+01 ; width_tmp_err = 4.69e+00;
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,c0_tmp,c0_tmp-4e-2, c0_tmp+4e-2);
rrv_offset_ErfExp = RooRealVar("rrv_offset_ErfExp"+label+"_"+self.channel,"rrv_offset_ErfExp"+label+"_"+self.channel,offset_tmp)#offset_tmp-offset_tmp_err*5,offset_tmp+offset_tmp_err*5);
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel, width_tmp)#width_tmp-width_tmp_err*5, width_tmp+width_tmp_err*5);
model_pdf = ROOT.RooErfExpPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,rrv_x,rrv_c_ErfExp,rrv_offset_ErfExp,rrv_width_ErfExp);
## constrain just the slope of the exponential
self.addConstraint(rrv_c_ErfExp,c0_tmp, c0_tmp_err,ConstraintsList);
## extreme fail cut
if in_model_name == "Exp_ttbar_extremefailtau2tau1cut":
c0_tmp = -3.0278e-02 ; c0_tmp_err = 5.16e-03;
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,c0_tmp, c0_tmp-4e-1, c0_tmp+4e-1 );
model_pdf = ROOT.RooExponential("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,rrv_x,rrv_c_ErfExp);
## constraint within one sigma
self.addConstraint(rrv_c_ErfExp,c0_tmp, c0_tmp_err,ConstraintsList);
if in_model_name == "Exp_bkg_extremefailtau2tau1cut":
c0_tmp = -4.2105e-02 ; c0_tmp_err = 2.61e-03;
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,c0_tmp, c0_tmp-4e-1, c0_tmp+4e-1 );
model_pdf = ROOT.RooExponential("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,rrv_x,rrv_c_ErfExp);
## constraint within one sigma
self.addConstraint(rrv_c_ErfExp,c0_tmp, c0_tmp_err,ConstraintsList);
## Erf*Exp + 2Gaus
if in_model_name == "ErfExp2Gaus_ttbar":
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel, -9.72533e-02, -9.72533e-02-2*6.05691e-03, -9.72533e-02+2*6.05691e-03 );
rrv_offset_ErfExp = RooRealVar("rrv_offset_ErfExp"+label+"_"+self.channel,"rrv_offset_ErfExp"+label+"_"+self.channel,2.21236e+02, 2.21236e+02-2*9.53939e+00, 2.21236e+02+2*9.53939e+00 );
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel,5.79251e+01,5.79251e+01-2*1.22221e+00,5.79251e+01+2*1.22221e+00);
erfExp = ROOT.RooErfExpPdf("erfExp"+label+"_"+self.channel,"erfExp"+label+"_"+self.channel,rrv_x,rrv_c_ErfExp,rrv_offset_ErfExp,rrv_width_ErfExp);
rrv_mean1_gaus=RooRealVar("rrv_mean1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel,8.36227e+01,8.36227e+01-2*1.60148e-01,8.36227e+01+2*1.60148e-01);
rrv_mean2_gaus=RooRealVar("rrv_mean2_gaus"+label+"_"+self.channel,"rrv_mean2_gaus"+label+"_"+self.channel,8.45644e+01 ,8.45644e+01-2*9.21003e-01,8.45644e+01+2*9.21003e-01 );
rrv_sigma1_gaus=RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,7.45239e+00,7.45239e+00-2*2.05052e-01,7.45239e+00+2*2.05052e-01);
rrv_sigma2_gaus=RooRealVar("rrv_sigma2_gaus"+label+"_"+self.channel,"rrv_sigma2_gaus"+label+"_"+self.channel,3.39773e+01,3.39773e+01-2*2.44179e+00,3.39773e+01+2*2.44179e+00);
rrv_high1 = RooRealVar("rrv_high1"+label+"_"+self.channel,"rrv_high1"+label+"_"+self.channel,0.5,0.,1.);
rrv_high2 = RooRealVar("rrv_high2"+label+"_"+self.channel,"rrv_high2"+label+"_"+self.channel,0.5622,0.51,0.61);
gaus1 = RooGaussian("gaus1"+label+"_"+self.channel,"gaus1"+label+"_"+self.channel, rrv_x,rrv_mean1_gaus,rrv_sigma1_gaus);
gaus2 = RooGaussian("gaus2"+label+"_"+self.channel,"gaus2"+label+"_"+self.channel, rrv_x,rrv_mean2_gaus,rrv_sigma2_gaus);
model_pdf =RooAddPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,RooArgList(erfExp,gaus1,gaus2),RooArgList(rrv_high1,rrv_high2),1)
## Erf*Exp + 2Gaus fail sample
if in_model_name == "ErfExp2Gaus_ttbar_failtau2tau1cut":
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,-2.81053e-02 ,-2.81053e-02-2*5.82712e-03 ,-2.81053e-02+2*5.82712e-03 );
rrv_offset_ErfExp = RooRealVar("rrv_offset_ErfExp"+label+"_"+self.channel,"rrv_offset_ErfExp"+label+"_"+self.channel,7.63158e+01,7.63158e+01-2*8.66322e+00,7.63158e+01+2*8.66322e+00);
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel,3.38156e+01,3.38156e+01-2*3.02392e+00,3.38156e+01+2*3.02392e+00);
erfExp = ROOT.RooErfExpPdf("erfExp"+label+"_"+self.channel,"erfExp"+label+"_"+self.channel,rrv_x,rrv_c_ErfExp,rrv_offset_ErfExp,rrv_width_ErfExp);
rrv_mean1_gaus=RooRealVar("rrv_mean1_gaus"+label+"_"+self.channel,"rrv_mean1_gaus"+label+"_"+self.channel,8.34758e+01,8.34758e+01-2*1.62468e-01,8.34758e+01+2*1.62468e-01);
rrv_mean2_gaus=RooRealVar("rrv_mean2_gaus"+label+"_"+self.channel,"rrv_mean2_gaus"+label+"_"+self.channel,8.99116e+01,8.99116e+01-2*7.47952e-01,8.99116e+01+2*7.47952e-01);
rrv_sigma1_gaus=RooRealVar("rrv_sigma1_gaus"+label+"_"+self.channel,"rrv_sigma1_gaus"+label+"_"+self.channel,7.45827e+00,7.45827e+00-2*1.95598e-01,7.45827e+00+2*1.95598e-01);
rrv_sigma2_gaus=RooRealVar("rrv_sigma2_gaus"+label+"_"+self.channel,"rrv_sigma2_gaus"+label+"_"+self.channel,2.90745e+01,2.90745e+01-2*1.77035e+00,2.90745e+01+2*1.77035e+00);
rrv_high1 = RooRealVar("rrv_high1"+label+"_"+self.channel,"rrv_high1"+label+"_"+self.channel,0.5,0.,1.);
rrv_high2 = RooRealVar("rrv_high2"+label+"_"+self.channel,"rrv_high2"+label+"_"+self.channel,0.6323,0.57,0.7);
gaus1 = RooGaussian("gaus1"+label+"_"+self.channel,"gaus1"+label+"_"+self.channel, rrv_x,rrv_mean1_gaus,rrv_sigma1_gaus);
gaus2 = RooGaussian("gaus2"+label+"_"+self.channel,"gaus2"+label+"_"+self.channel, rrv_x,rrv_mean2_gaus,rrv_sigma2_gaus);
model_pdf =RooAddPdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum,RooArgList(erfExp,gaus1,gaus2),RooArgList(rrv_high1,rrv_high2),1)
## Erf*Exp +gaus+ Voig
if in_model_name == "ErfExpGausGaus":
rrv_c_ErfExp = RooRealVar("rrv_c_ErfExp"+label+"_"+self.channel,"rrv_c_ErfExp"+label+"_"+self.channel,-0.1,-10.,0.);
rrv_offset_ErfExp = RooRealVar("rrv_offset_ErfExp"+label+"_"+self.channel,"rrv_offset_ErfExp"+label+"_"+self.channel,90.,10.,140.);
rrv_width_ErfExp = RooRealVar("rrv_width_ErfExp"+label+"_"+self.channel,"rrv_width_ErfExp"+label+"_"+self.channel,30.,10,100.);
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,7,1,20);
rrv_sigma_voig = RooRealVar("rrv_sigma_voig"+label+"_"+self.channel,"rrv_sigma_voig"+label+"_"+self.channel,5,1,100);
rrv_high1 = RooRealVar("rrv_high1"+label+"_"+self.channel,"rrv_high1"+label+"_"+self.channel,1,0.,200.);
rrv_mean_gaus = RooRealVar("rrv_mean_gaus"+label+"_"+self.channel,"rrv_mean_gaus"+label+"_"+self.channel,92)#,160,187);
rrv_sigma_gaus = RooRealVar("rrv_sigma_gaus"+label+"_"+self.channel,"rrv_sigma_gaus"+label+"_"+self.channel,20)#,0.1,100);
rrv_high2 = RooRealVar("rrv_high2"+label+"_"+self.channel,"rrv_high2"+label+"_"+self.channel,0.)#,0.,0.);
model_pdf = ROOT.RooErfExp_Voig_Gaus_Pdf("model_pdf"+label+"_"+self.channel+mass_spectrum,"model_pdf"+label+"_"+self.channel+mass_spectrum, rrv_x,rrv_c_ErfExp,rrv_offset_ErfExp,rrv_width_ErfExp,rrv_mean_voig,rrv_width_voig,rrv_sigma_voig,rrv_high1,rrv_mean_gaus,rrv_sigma_gaus,rrv_high2 );
## import the pdf in the workspace and save it
getattr(self.workspace4fit_,"import")(model_pdf)
## retun the pdf with the right name
return self.workspace4fit_.pdf("model_pdf"+label+"_"+self.channel+mass_spectrum)
## Gaussian contraint of a parameter of a pdf
def addConstraint(self, rrv_x, x_mean, x_sigma, ConstraintsList):
rrv_x_mean = RooRealVar(rrv_x.GetName()+"_mean",rrv_x.GetName()+"_mean",x_mean );
rrv_x_sigma = RooRealVar(rrv_x.GetName()+"_sigma",rrv_x.GetName()+"_sigma",x_sigma );
constrainpdf_x = RooGaussian("constrainpdf_"+rrv_x.GetName(),"constrainpdf_"+rrv_x.GetName(),rrv_x, rrv_x_mean, rrv_x_sigma);
## import in the workspace and save the name of constriant pdf
getattr(self.workspace4fit_,"import")(constrainpdf_x)
ConstraintsList.append(constrainpdf_x.GetName());
### get an mj model from the workspace givin the label
def get_mj_Model(self,label):
return self.workspace4fit_.pdf("model"+label+"_"+self.channel+"_mj")
### take the dataset, the model , the parameters in order to fix them as constant --> for extended pdf
def get_General_mj_Model(self, label ):
rdataset_General_mj = self.workspace4fit_.data("rdataset%s_%s_mj"%(label,self.channel))
model_General = self.get_mj_Model(label);
## get the parameters and cycle on them
parameters_General = model_General.getParameters(rdataset_General_mj);
par=parameters_General.createIterator();
par.Reset();
param=par.Next()
while (param):
if (TString(label).Contains("VV") or TString(label).Contains("STop") or TString(label).Contains("TTbar")) and (not (options.fitwtaggersim
or options.fitwtagger)):
param.Print();
param.setConstant(kTRUE);
param=par.Next()
## return the pdf after having fixed the paramters
return self.workspace4fit_.pdf("model%s_%s_mj"%(label,self.channel))
### fix only the ttbar component using the default label --> for extended pdf
def get_TTbar_mj_Model(self,label="_TTbar"):
return self.get_General_mj_Model(label);
### fix only the stop component using the default label --> for extended pdf
def get_STop_mj_Model(self,label="_STop"):
return self.get_General_mj_Model(label);
### fix only the VV component using the default label --> for extended pdf
def get_VV_mj_Model(self,label="_VV"):
return self.get_General_mj_Model(label);
### fix only the WJets model --> for extended pdf
def get_WJets_mj_Model(self,label):
rdataset_WJets_mj = self.workspace4fit_.data("rdataset%s_%s_mj"%(label,self.channel))
model_WJets = self.get_mj_Model(label);
parameters_WJets = model_WJets.getParameters(rdataset_WJets_mj);
par=parameters_WJets.createIterator();
par.Reset();
param=par.Next()
while (param):
paraName=TString(param.GetName());
if (paraName.Contains("rrv_width_ErfExp_WJets") or paraName.Contains("rrv_offset_ErfExp_WJets") or
paraName.Contains("rrv_p1_User1_WJets") or paraName.Contains("rrv_p1_User1_WJets")) :
param.setConstant(kTRUE);
else:
param.setConstant(0);
param=par.Next()
return self.workspace4fit_.pdf("model%s_%s_mj"%(label,self.channel))
### fix a given model taking the label, and the region --> for extended pdf
def fix_Model(self, label, mlvj_region="_signal_region",mass_spectrum="_mlvj"):
rdataset = self.workspace4fit_.data("rdataset%s%s_%s%s"%(label,mlvj_region,self.channel,mass_spectrum))
model = self.get_mlvj_Model(label,mlvj_region);
parameters = model.getParameters(rdataset);
par=parameters.createIterator(); par.Reset();
param=par.Next()
while (param):
param.setConstant(kTRUE);
param=par.Next()
### fix a pdf in a different way --> for RooAbsPdf
def fix_Pdf(self,model_pdf,argset_notparameter):
parameters = model_pdf.getParameters(argset_notparameter);
par=parameters.createIterator(); par.Reset();
param=par.Next()
while (param):
param.setConstant(kTRUE);
param.Print();
param=par.Next()
### print the parameters of a given pdf --> only non constant ones
def ShowParam_Pdf(self,model_pdf,argset_notparameter):
model_pdf.Print()
parameters = model_pdf.getParameters(argset_notparameter);
par = parameters.createIterator(); par.Reset();
param = par.Next()
while (param):
if not param.isConstant():
param.Print();
if (param.getVal()-param.getMin())< param.getError()*1 or (param.getMax()- param.getVal())< param.getError()*1:
param.Print();
param=par.Next()
### change a dataset to a histpdf roofit object
def change_dataset_to_histpdf(self,x,dataset):
datahist = dataset.binnedClone(dataset.GetName()+"_binnedClone",dataset.GetName()+"_binnedClone")
histpdf = RooHistPdf(dataset.GetName()+"_histpdf",dataset.GetName()+"_histpdf",RooArgSet(x),datahist)
getattr(self.workspace4fit_,"import")(histpdf)
### change from a dataset to a histogramm of Roofit
def change_dataset_to_histogram(self, x,dataset,label=""):
datahist=dataset.binnedClone(dataset.GetName()+"_binnedClone",dataset.GetName()+"_binnedClone")
nbin=int( (x.getMax()-x.getMin())/self.BinWidth_mj);
if label=="":
return datahist.createHistogram("histo_%s"%(dataset.GetName()),x, RooFit.Binning( nbin ,x.getMin(),x.getMax()));
else:
return datahist.createHistogram("histo_"+label,x, RooFit.Binning( nbin,x.getMin(),x.getMax()));
## Define the Extended Pdf for and mJ fit giving: label, fit model name, list constraint and ismc
def make_Model(self, label, in_model_name, mass_spectrum="_mj", ConstraintsList=[], area_init_value=500):
##### define an extended pdf from a standard Roofit One
print " "
print "###############################################"
print "## Make model : ",label," ",in_model_name,"##";
print "###############################################"
print " "
rrv_number = RooRealVar("rrv_number"+label+"_"+self.channel+mass_spectrum,"rrv_number"+label+"_"+self.channel+mass_spectrum,area_init_value,0.,1e7);
## call the make RooAbsPdf method
model_pdf = self.make_Pdf(label,in_model_name,mass_spectrum,ConstraintsList)
print " model pdf : "
model_pdf.Print();
## create the extended pdf
model = RooExtendPdf("model"+label+"_"+self.channel+mass_spectrum,"model"+label+"_"+self.channel+mass_spectrum, model_pdf, rrv_number );
print " Extended pdf : "
#### put all the parameters ant the shape in the workspace
getattr(self.workspace4fit_,"import")(rrv_number)
getattr(self.workspace4fit_,"import")(model)
self.workspace4fit_.pdf("model"+label+"_"+self.channel+mass_spectrum).Print();
## return the total extended pdf
return self.workspace4fit_.pdf("model"+label+"_"+self.channel+mass_spectrum);
### Make a generic model for the ttbar control sample fit
def make_Model_for_ttbar_controlsample(self, label, in_model_name, mass_spectrum="_mj", ConstraintsList=[],info=""):
print " "
print "###################################################################################"
print " ## make_Model_for_ttbar_controlsample : ",label," ",in_model_name," ",info," "##";
print "###################################################################################"
print " "
if TString(label).Contains("_ttbar_data") and not TString(label).Contains("failtau2tau1cut"):
rrv_number_total = RooRealVar("rrv_number_total_ttbar_data"+info+"_"+self.channel,"rrv_number_total_ttbar_data"+info+"_"+self.channel,500,0.,1e7);
eff_ttbar = RooRealVar("eff_ttbar_data"+info+"_"+self.channel,"eff_ttbar_data"+info+"_"+self.channel,0.7,0.3,0.9);
rrv_number = RooFormulaVar("rrv_number"+label+"_"+self.channel+mass_spectrum, "@0*@1", RooArgList(rrv_number_total,eff_ttbar));
## fail fit has to be done after the pass one
elif TString(label).Contains("_ttbar_data") and TString(label).Contains("failtau2tau1cut"):
## correlated paramters among the two cateogry of pass and fail sample
rrv_number_total = self.workspace4fit_.var("rrv_number_total_ttbar_data"+info+"_"+self.channel);
eff_ttbar = self.workspace4fit_.var("eff_ttbar_data"+info+"_"+self.channel);
rrv_number = RooFormulaVar("rrv_number"+label+"_"+self.channel+mass_spectrum, "(1-@0)*@1", RooArgList(eff_ttbar,rrv_number_total));
elif TString(label).Contains("_ttbar_TotalMC") and not TString(label).Contains("failtau2tau1cut"):
rrv_number_total = RooRealVar("rrv_number_total_ttbar_TotalMC"+info+"_"+self.channel,"rrv_number_total_ttbar_TotalMC"+info+"_"+self.channel,500,0.,1e7);
eff_ttbar = RooRealVar("eff_ttbar_TotalMC"+info+"_"+self.channel,"eff_ttbar_TotalMC"+info+"_"+self.channel,0.7,0.3,0.9);
rrv_number = RooFormulaVar("rrv_number"+label+"_"+self.channel+mass_spectrum, "@0*@1", RooArgList(eff_ttbar,rrv_number_total));
elif TString(label).Contains("_ttbar_TotalMC") and TString(label).Contains("failtau2tau1cut"):
rrv_number_total = self.workspace4fit_.var("rrv_number_total_ttbar_TotalMC"+info+"_"+self.channel);
eff_ttbar = self.workspace4fit_.var("eff_ttbar_TotalMC"+info+"_"+self.channel);
rrv_number = RooFormulaVar("rrv_number"+label+"_"+self.channel+mass_spectrum, "(1-@0)*@1", RooArgList(eff_ttbar,rrv_number_total)) ;
rrv_number_total.Print();