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

 Results of the optimization
 ===========================
 Optimization algorithm used: Minuit
 List of parameters and global mode:
  (0) Parameter "R_B": 0.5 +- 0.0706487
  (1) Parameter "R_S": 0.0499999 +- 0.0987574

 Results of the marginalization
 ==============================
 List of parameters and properties of the marginalized
 distributions:
  (0) Parameter "R_B":
      Mean +- sqrt(V):                0.4833 +- 0.05841
      Median +- central 68% interval: 0.4824 +  0.0592 - 0.05802
      (Marginalized) mode:            0.49
       5% quantile:                   0.3874
      10% quantile:                   0.4077
      16% quantile:                   0.4244
      84% quantile:                   0.5445
      90% quantile:                   0.5589
      95% quantile:                   0.5816
      Smallest interval(s) containing 68% and local modes:
       (0.42, 0.56) (local mode at 0.49 with rel. height 1; rel. area 0.6947)

  (1) Parameter "R_S":
      Mean +- sqrt(V):                0.1028 +- 0.07106
      Median +- central 68% interval: 0.09118 +  0.08377 - 0.06095
      (Marginalized) mode:            0.065
       5% quantile:                   0.0101
      10% quantile:                   0.01922
      16% quantile:                   0.03023
      84% quantile:                   0.1787
      90% quantile:                   0.2014
      95% quantile:                   0.2369
      Smallest interval(s) containing 68% and local modes:
       (0, 0.14) (local mode at 0.065 with rel. height 1; rel. area 0.6847)

 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": 19.03%
  (1) Parameter "R_S": 20.77%

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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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