rf513_wsfactory_tools.py

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## \file
## \ingroup tutorial_roofit
## \notebook -nodraw
## Organization and simultaneous fits: illustration use of ROOT.RooCustomizer and
## ROOT.RooSimWSTool interface in factory workspace tool in a complex standalone B physics example
##
## \macro_code
## \macro_output
##
## \date February 2018
## \authors Clemens Lange, Wouter Verkerke (C++ version)
 
import ROOT
 
 
w = ROOT.RooWorkspace("w")
 
# Build a complex example pdf
# -----------------------------------------------------------
 
# Make signal model for CPV: A bmixing decay function in t (convoluted with a triple Gaussian resolution model)
# times a Gaussian function the reconstructed mass
w.factory(
    "PROD::sig(  BMixDecay::sig_t( dt[-20,20], mixState[mixed=1,unmix=-1], tagFlav[B0=1,B0bar=-1], "
    "tau[1.54], dm[0.472], w[0.05], dw[0], "
    "AddModel::gm({GaussModel(dt,biasC[-10,10],sigmaC[0.1,3],dterr[0.01,0.2]), "
    "GaussModel(dt,0,sigmaT[3,10]), "
    "GaussModel(dt,0,20)},{fracC[0,1],fracT[0,1]}), "
    "DoubleSided ), "
    "Gaussian::sig_m( mes[5.20,5.30], mB0[5.20,5.30], sigmB0[0.01,0.05] ))"
)
 
# Make background component: A plain decay function in t times an Argus
# function in the reconstructed mass
w.factory("PROD::bkg(  Decay::bkg_t( dt, tau, gm, DoubleSided), " "ArgusBG::bkg_m( mes, 5.291, k[-100,-10]))")
 
# Make composite model from the signal and background component
w.factory("SUM::model( Nsig[5000,0,10000]*sig, NBkg[500,0,10000]*bkg )")
 
# Example of RooSimWSTool interface
# ------------------------------------------------------------------
 
# Introduce a flavour tagging category tagCat as observable with 4 states corresponding
# to 4 flavour tagging techniques with different performance that require different
# parameterizations of the fit model
#
# ROOT.RooSimWSTool operation:
#     - Make 4 clones of model (for each tagCat) state, will gain an individual
#       copy of parameters w, and biasC. The other parameters remain common
#     - Make a simultaneous pdf of the 4 clones assigning each to the appropriate
#       state of the tagCat index category
 
# ROOT.RooSimWSTool is interfaced as meta-type SIMCLONE in the factory. The $SplitParam()
# argument maps to the SplitParam() named argument in the
# ROOT.RooSimWSTool constructor
w.factory("SIMCLONE::model_sim( model, $SplitParam({w,dw,biasC},tagCat[Lep,Kao,NT1,NT2]))")
 
# Example of RooCustomizer interface
# -------------------------------------------------------------------
#
# Class ROOT.RooCustomizer makes clones of existing pdfs with certain prescribed
# modifications (branch of leaf node replacements)
#
# Here we take our model (the original before ROOT.RooSimWSTool modifications)
# and request that the parameter w (the mistag rate) is replaced with
# an expression-based function that calculates w in terms of the Dilution
# parameter D that is defined D = 1-2*w
 
# Make a clone model_D of original 'model' replacing 'w' with
# 'expr('0.5-D/2',D[0,1])'
w.factory("EDIT::model_D(model, w=expr('0.5-D/2',D[0,1]) )")
 
# Print workspace contents
w.Print()
 
# Make workspace visible on command line
ROOT.gDirectory.Add(w)