doc/v606/rf513__wsfactory__tools_8C.html

#ifndef __CINT__

#include "RooGlobalFunc.h"

#endif

#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 p.d.f. 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 p.d.f.s 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) ;

}