[#1] INFO:Fitting -- RooAbsPdf::fitTo(model_over_model_Int[t]) 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 472.211 μs
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_over_model_Int[t]_modelData) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only
[#1] INFO:Plotting -- RooPlot::updateFitRangeNorm: New event count of 5000 will supersede previous event count of 10000 for normalization of PDF projections

  RooFitResult: minimized FCN value: 2823.97, estimated distance to minimum: 3.17108e-08
                covariance matrix quality: Full, accurate covariance matrix
                Status : MINIMIZE=0 HESSE=0 

    Floating Parameter  InitialValue    FinalValue +/-  Error     GblCorr.
  --------------------  ------------  --------------------------  --------
                   tau   -1.5400e+00   -1.5335e+00 +/-  2.22e-02  <none>