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 Summary
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 Model summary
 =============
 Model: model
 Number of parameters: 1
 List of Parameters and ranges:
  (0) Parameter "R_B": (0, 2)

 Results of the optimization
 ===========================
 Optimization algorithm used: Minuit
 List of parameters and global mode:
  (0) Parameter "R_B": 0.5 +- 0.0706321

 Results of the marginalization
 ==============================
 List of parameters and properties of the marginalized
 distributions:
  (0) Parameter "R_B":
      Mean +- sqrt(V):                0.5095 +- 0.07129
      Median +- central 68% interval: 0.5064 +  0.07354 - 0.06795
      (Marginalized) mode:            0.49
       5% quantile:                   0.3975
      10% quantile:                   0.4201
      16% quantile:                   0.4385
      84% quantile:                   0.5836
      90% quantile:                   0.6029
      95% quantile:                   0.6331
      Smallest interval(s) containing 68% and local modes:
       (0.42, 0.6) (local mode at 0.49 with rel. height 1; rel. area 0.7404)

 Status of the MCMC
 ==================
 Convergence reached:                    yes
 Number of iterations until convergence: 4000
 Number of chains:                       5
 Number of iterations per chain:         100000
 Average efficiencies:
  (0) Parameter "R_B": 24.98%

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 Notation:
 Mean        : mean value of the marg. pdf
 Median      : maximum of the marg. pdf
 Marg. mode  : most probable value of the marg. pdf
 V           : Variance of the marg. pdf
 Quantiles   : most commonly used quantiles
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