rf513_wsfactory_tools.C File Reference

Detailed Description

Organization and simultaneous fits: RooCustomizer and RooSimWSTool interface in factory workspace tool in a complex standalone B physics example

 
 
␛[1mRooFit v3.60 -- Developed by Wouter Verkerke and David Kirkby␛[0m 
                Copyright (C) 2000-2013 NIKHEF, University of California & Stanford University
                All rights reserved, please read http://roofit.sourceforge.net/license.txt
 
 
RooWorkspace(w) w contents
 
variables
---------
(D,NBkg,Nsig,biasC,biasC_Kao,biasC_Lep,biasC_NT1,biasC_NT2,dm,dt,dterr,dw,dw_Kao,dw_Lep,dw_NT1,dw_NT2,fracC,fracT,k,mB0,mes,mixState,sigmB0,sigmaC,sigmaT,tagCat,tagFlav,tau,w,w_Kao,w_Lep,w_NT1,w_NT2)
 
p.d.f.s
-------
RooProdPdf::bkg[ bkg_t * bkg_m ] = 0.307193
RooProdPdf::bkg_Kao[ bkg_t_Kao * bkg_m ] = 0.307193
RooProdPdf::bkg_Lep[ bkg_t_Lep * bkg_m ] = 0.307193
RooProdPdf::bkg_NT1[ bkg_t_NT1 * bkg_m ] = 0.307193
RooProdPdf::bkg_NT2[ bkg_t_NT2 * bkg_m ] = 0.307193
RooArgusBG::bkg_m[ m=mes m0=5.291 c=k p=0.5 ] = 0.279062
RooDecay::bkg_t[ t=dt tau=tau ] = 1.10081
RooDecay::bkg_t_Kao[ t=dt tau=tau ] = 1.10081
RooDecay::bkg_t_Lep[ t=dt tau=tau ] = 1.10081
RooDecay::bkg_t_NT1[ t=dt tau=tau ] = 1.10081
RooDecay::bkg_t_NT2[ t=dt tau=tau ] = 1.10081
RooAddPdf::model[ Nsig * sig + NBkg * bkg ] = 1.88229
RooAddPdf::model_D[ Nsig * sig_model_D + NBkg * bkg ] = 1.5029
RooAddPdf::model_Kao[ Nsig * sig_Kao + NBkg * bkg_Kao ] = 1.88229
RooAddPdf::model_Lep[ Nsig * sig_Lep + NBkg * bkg_Lep ] = 1.88229
RooAddPdf::model_NT1[ Nsig * sig_NT1 + NBkg * bkg_NT1 ] = 1.88229
RooAddPdf::model_NT2[ Nsig * sig_NT2 + NBkg * bkg_NT2 ] = 1.88229
RooSimultaneous::model_sim[ indexCat=tagCat Lep=model_Lep Kao=model_Kao NT1=model_NT1 NT2=model_NT2 ] = 0.470573
RooProdPdf::sig[ sig_t * sig_m ] = 2.0398
RooProdPdf::sig_Kao[ sig_t_Kao * sig_m ] = 2.0398
RooProdPdf::sig_Lep[ sig_t_Lep * sig_m ] = 2.0398
RooProdPdf::sig_NT1[ sig_t_NT1 * sig_m ] = 2.0398
RooProdPdf::sig_NT2[ sig_t_NT2 * sig_m ] = 2.0398
RooGaussian::sig_m[ x=mes mean=mB0 sigma=sigmB0 ] = 1
RooProdPdf::sig_model_D[ sig_t_model_D * sig_m ] = 1.62247
RooBMixDecay::sig_t[ mistag=w delMistag=dw mixState=mixState tagFlav=tagFlav tau=tau dm=dm t=dt ] = 2.0398
RooBMixDecay::sig_t_Kao[ mistag=w_Kao delMistag=dw_Kao mixState=mixState tagFlav=tagFlav tau=tau dm=dm t=dt ] = 2.0398
RooBMixDecay::sig_t_Lep[ mistag=w_Lep delMistag=dw_Lep mixState=mixState tagFlav=tagFlav tau=tau dm=dm t=dt ] = 2.0398
RooBMixDecay::sig_t_NT1[ mistag=w_NT1 delMistag=dw_NT1 mixState=mixState tagFlav=tagFlav tau=tau dm=dm t=dt ] = 2.0398
RooBMixDecay::sig_t_NT2[ mistag=w_NT2 delMistag=dw_NT2 mixState=mixState tagFlav=tagFlav tau=tau dm=dm t=dt ] = 2.0398
RooBMixDecay::sig_t_model_D[ mistag=model_D_2 delMistag=dw mixState=mixState tagFlav=tagFlav tau=tau dm=dm t=dt ] = 1.62247
 
analytical resolution models
----------------------------
RooAddModel::gm[ x=dt (fracC * gm_11 + fracT * gm_12 + [%] * gm_13) ] = 1.25632
RooGaussModel::gm_11[ x=dt mean=biasC sigma=sigmaC msf=dterr ssf=dterr ] = 2.45126
RooGaussModel::gm_11_Kao[ x=dt mean=biasC_Kao sigma=sigmaC msf=dterr ssf=dterr ] = 2.45126
RooGaussModel::gm_11_Lep[ x=dt mean=biasC_Lep sigma=sigmaC msf=dterr ssf=dterr ] = 2.45126
RooGaussModel::gm_11_NT1[ x=dt mean=biasC_NT1 sigma=sigmaC msf=dterr ssf=dterr ] = 2.45126
RooGaussModel::gm_11_NT2[ x=dt mean=biasC_NT2 sigma=sigmaC msf=dterr ssf=dterr ] = 2.45126
RooGaussModel::gm_12[ x=dt mean=0 sigma=sigmaT msf=1 ssf=1 ] = 0.0613757
RooGaussModel::gm_13[ x=dt mean=0 sigma=20 msf=1 ssf=1 ] = 0.0199471
RooAddModel::gm_Kao[ x=dt (fracC * gm_11_Kao + fracT * gm_12 + [%] * gm_13) ] = 1.25632
RooAddModel::gm_Lep[ x=dt (fracC * gm_11_Lep + fracT * gm_12 + [%] * gm_13) ] = 1.25632
RooAddModel::gm_NT1[ x=dt (fracC * gm_11_NT1 + fracT * gm_12 + [%] * gm_13) ] = 1.25632
RooAddModel::gm_NT2[ x=dt (fracC * gm_11_NT2 + fracT * gm_12 + [%] * gm_13) ] = 1.25632
 
functions
--------
RooFormulaVar::model_D_2[ actualVars=(D) formula="0.5-x[0]/2" ] = 0.25
 

 
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooGaussian.h"
#include "RooConstVar.h"
#include "RooChebychev.h"
#include "RooAddPdf.h"
#include "RooWorkspace.h"
#include "RooPlot.h"
#include "TCanvas.h"
#include "TAxis.h"
using namespace RooFit;
 
void rf513_wsfactory_tools()
{
   RooWorkspace *w = new RooWorkspace("w");
 
   // B u i l d   a   c o m p l e x   e x a m p l e   p . d . f .
   // -----------------------------------------------------------
 
   // 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 )");
 
   // E x a m p l e   o f   R o o S i m W S T o o l   i n t e r f a c e
   // ------------------------------------------------------------------
 
   // 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
   //
   // RooSimWSTool operation:
   //     - Make 4 clones of model (for each tagCat) state, that will gain an individual
   //       copy of parameters w,dw 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
 
   // RooSimWSTool is interfaced as meta-type SIMCLONE in the factory. The $SplitParam()
   // argument maps to the SplitParam() named argument in the RooSimWSTool constructor
   w->factory("SIMCLONE::model_sim( model, $SplitParam({w,dw,biasC},tagCat[Lep,Kao,NT1,NT2]))");
 
   // E x a m p l e   o f   R o o C u s t o m i z e r   i n t e r f a c e
   // -------------------------------------------------------------------
   //
   // Class RooCustomizer makes clones of existing pdfs with certain prescribed
   // modifications (branch of leaf node replacements)
   //
   // Here we take our model (the original before 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 as 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
   gDirectory->Add(w);
}

Date

July 2009

Author

Wouter Verkerke

Definition in file rf513_wsfactory_tools.C.