Dear Lorenzo,
Thanks so much for reply. And I am sorry for replying late. Please excuse me for some naive questions now.
So, using some old package named exost I managed to create workspace. Now I am trying to run and calculate significance using the StandardHypoTestDemo.C but it complains that data or ModelConfig was not found.
I am wondering if its because I do not see any name against RooDataSet:: ? Which means data is not written in workspace at all.
I am attaching my workspace root file. Can you please have a look at it and suggest workaround.
Thanks so much.
Regards,
Ajay
PS: Print of WS contents:
RooWorkspace(myWS) myWS contents
variables
(a,b,beta_mass,beta_nbkg,beta_nsig,c,d,eff_a,eff_b,eff_c,eff_p0,eff_p1,eff_p2,eff_scale,glob_mass,glob_nbkg,glob_nsig,mass,mass_kappa,nbkg_est,nbkg_kappa,normfact,nsig_kappa,nsig_scale,nz,peak,ratio,res_c,res_n,res_p0,res_p1,res_p2,res_s,weight,width_p0,width_p1)
p.d.f.s
RooCFAuto002Pdf::bkgpdf[ a=a mass=mass b=b c=c d=d ] = 1.8533e+13
RooProdPdf::model[ model_core * syst_nsig ] = 2.50131e+14
RooAddPdf::model_core[ nsig * sigpdf + nbkg * bkgpdf ] = 1.8533e+13
RooProdPdf::prior[ prior_ratio * syst_nbkg ] = 2.18812
RooUniform::prior_ratio[ x=(ratio) ] = 1
RooVoigtian::sigpdf[ x=mass_scaled mean=peak width=width sigma=sigma ] = 0.0622797
RooLognormal::syst_nbkg[ x=beta_nbkg m0=glob_nbkg k=nbkg_kappa ] = 2.18812
RooLognormal::syst_nsig[ x=beta_nsig m0=glob_nsig k=nsig_kappa ] = 13.4966
functions
RooCFAuto001Func::eff[ eff_scale=eff_scale eff_a=eff_a eff_b=eff_b peak=peak eff_c=eff_c ] = 0.587827
RooCFAuto000Func::eff_dummy[ eff_scale=eff_scale eff_a=eff_a eff_b=eff_b peak=peak eff_c=eff_c ] = -174010
RooCFAuto003Func::mass_nuis[ mass_kappa=mass_kappa beta_mass=beta_mass ] = 1.01
RooProduct::mass_scaled[ mass * mass_nuis ] = 303
RooProduct::nbkg[ nbkg_est * beta_nbkg ] = 696
RooProduct::nsig[ nsig_scale * ratio * nz * eff * beta_nsig ] = 0
RooProduct::sigma[ sigma_rel * peak ] = 5.52012
RooAddition::sigma_rel[ res_p0 + sigma_rel_2 + sigma_rel_3 ] = 0.0184004
RooProduct::sigma_rel_2[ res_p1 * peak ] = 0.005505
RooProduct::sigma_rel_3[ sigma_rel_3_1 * peak ] = -2.4597e-05
RooProduct::sigma_rel_3_1[ res_p2 * peak ] = -8.199e-08
RooCFAuto004Func::sigma_rel_dummy[ res_s=res_s peak=peak res_n=res_n res_c=res_c ] = 0.013425
RooAddition::width[ width_p0 + width_2 ] = 0.018
RooProduct::width_2[ width_p1 * peak ] = 0.018
named sets
mc_GlobalObservables:(glob_nsig,glob_nbkg)
mc_NuisParams:(beta_nsig,beta_nbkg)
mc_Observables:(mass)
mc_POI:(ratio)
generic objects
RooDataSet::
RooStats::ModelConfig::mc
embedded class code
RooCFAuto000Func, RooCFAuto001Func, RooCFAuto002Pdf, RooCFAuto003Func, RooCFAuto004Func
new_dimuon_ws.root (20.4 KB)