[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooAddPdf::model
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooGaussian::sigModel
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooRealVar::invMass
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooRealVar::mH
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooRealVar::sigma1
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooProduct::fsig
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooRealVar::mu
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooRealVar::ratioSigEff
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooRealVar::fsigExpected
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooGaussian::zjjModel
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooRealVar::mZ
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooRealVar::sigma1_z
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooRealVar::fzjj
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooChebychev::qcdModel
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooRealVar::a0
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooRealVar::a1
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing RooRealVar::a2
[#1] INFO:ObjectHandling -- RooWorkspace::import(myWS) importing dataset modelData
[#1] INFO:ObjectHandling -- RooWorkSpace::import(myWS) changing name of dataset from  modelData to data
[#1] INFO:InputArguments -- The deprecated RooFit::CloneData(1) option passed to createNLL() is ignored.
[#1] INFO:Fitting -- RooAbsPdf::fitTo(model) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- using generic CPU library compiled with no vectorizations
[#1] INFO:Fitting -- Creation of NLL object took 491.261 μs
[#0] PROGRESS:Minimization -- ProfileLikelihoodCalcultor::DoGLobalFit - find MLE 
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_data) Summation contains a RooNLLVar, using its error level
[#0] PROGRESS:Minimization -- ProfileLikelihoodCalcultor::DoMinimizeNLL - using Minuit2 /  with strategy 1
[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only
[#1] INFO:Minimization -- 
  RooFitResult: minimized FCN value: 717.039, estimated distance to minimum: 4.45135e-10
                covariance matrix quality: Full, accurate covariance matrix
                Status : MINIMIZE=0 

    Floating Parameter    FinalValue +/-  Error   
  --------------------  --------------------------
                  fzjj    3.1152e-01 +/-  5.03e-02
                    mu    1.0968e+00 +/-  3.03e-01

[#0] PROGRESS:Minimization -- ProfileLikelihoodCalcultor::GetHypoTest - do conditional fit 
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_data) Summation contains a RooNLLVar, using its error level
[#0] PROGRESS:Minimization -- ProfileLikelihoodCalcultor::DoMinimizeNLL - using Minuit2 /  with strategy 1
[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only
[#1] INFO:Minimization -- 
  RooFitResult: minimized FCN value: 723.97, estimated distance to minimum: 1.04934e-09
                covariance matrix quality: Full, accurate covariance matrix
                Status : MINIMIZE=0 

    Floating Parameter    FinalValue +/-  Error   
  --------------------  --------------------------
                  fzjj    2.6213e-01 +/-  5.18e-02

-------------------------------------------------
The p-value for the null is 9.83108e-05
Corresponding to a significance of 3.72332
-------------------------------------------------


[#1] INFO:Fitting -- RooAbsPdf::fitTo(model) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- Creation of NLL object took 126.55 μs
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_data) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (sigModel)
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: ()
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (zjjModel)
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: ()
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (qcdModel)
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: ()
[#1] INFO:Fitting -- RooAbsPdf::fitTo(model) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- Creation of NLL object took 100.891 μs
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_data) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (zjjModel)
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: ()
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (qcdModel)
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: ()