<<< Combine >>> >>> random number generator seed is 123456 >>> method used is AsymptoticLimits [#0] ERROR:Eval -- RooAbsReal::logEvalError(model_s) evaluation error, origin : RooProdPdf::model_s[ modelObs_s * nuisancePdf ] message : getLogVal() top-level p.d.f evaluates to zero server values: !pdfs=(modelObs_s = 0/1,nuisancePdf = 1) [#0] ERROR:Eval -- RooAbsReal::logEvalError(nll_model_s__Asymptotic_asimovDataset_) evaluation error, origin : RooNLLVar::nll_model_s__Asymptotic_asimovDataset_[ paramSet=(L1_prefire,abcd,btag_sfs,elec_reco,jer,jes,lep_id,lumi,met_unc,pu_rwgt,r,statistics) ] message : function value is NAN server values: paramSet=(L1_prefire = 0.00256383 +/- 1.93446,abcd = -0.022015 +/- 1.79099,btag_sfs = 0.000876788 +/- 1.93445,elec_reco = 0.000876788 +/- 1.93445,jer = 0.000295797 +/- 1.93445,jes = -0.00109758 +/- 1.93446,lep_id = 0.00311439 +/- 1.93446,lumi = 0.00266664 +/- 1.93446,met_unc = 0.000295797 +/- 1.93445,pu_rwgt = 0.000876788 +/- 1.93445,r = 10 +/- 3.31685,statistics = -0.0152605 +/- 1.81068) [#0] ERROR:Eval -- RooAbsReal::logEvalError(nll_model_s__Asymptotic_asimovDataset__with_constr) evaluation error, origin : RooAddition::nll_model_s__Asymptotic_asimovDataset__with_constr[ nll_model_s__Asymptotic_asimovDataset_ + nll_model_s__Asymptotic_asimovDataset__constr ] message : function value is NAN server values: !set=(nll_model_s__Asymptotic_asimovDataset_ = -nan,nll_model_s__Asymptotic_asimovDataset__constr = 10.1084) -- AsymptoticLimits ( CLs ) -- Observed Limit: r < 0.1188 Expected 2.5%: r < 0.0664 Expected 16.0%: r < 0.0876 Expected 50.0%: r < 0.1196 Expected 84.0%: r < 0.1630 Expected 97.5%: r < 0.2156 Done in 0.00 min (cpu), 0.00 min (real)