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 Summary
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 Model summary
 =============
 Model: model
 Number of parameters: 4
 List of Parameters and ranges:
  (0) Parameter "sig0": (0, 50)
  (1) Parameter "sig1": (0, 20)
  (2) Parameter "dp": (-0.1, 0.1)
  (3) Parameter "ds": (-0.017, 0.017)

 Results of the optimization
 ===========================
 Optimization algorithm used: Metropolis MCMC
 List of parameters and global mode:
  (0) Parameter "sig0": 35.8033
  (1) Parameter "sig1": 0.78555
  (2) Parameter "dp": 0.000940959
  (3) Parameter "ds": -0.0169418

 Results of the marginalization
 ==============================
 List of parameters and properties of the marginalized
 distributions:
  (0) Parameter "sig0":
      Mean +- sqrt(V):                35.89 +- 0.5115
      Median +- central 68% interval: 35.82 +  0.6043 - 0.5052
      (Marginalized) mode:            35.75
       5% quantile:                   35.1
      10% quantile:                   35.2
      16% quantile:                   35.32
      84% quantile:                   36.45
      90% quantile:                   36.63
      95% quantile:                   36.9
      Smallest interval(s) containing 68% and local modes:
       (35, 37) (local mode at 35.75 with rel. height 1; rel. area 0.875)

  (1) Parameter "sig1":
      Mean +- sqrt(V):                2.329 +- 1.734
      Median +- central 68% interval: 1.982 +  2.1 - 1.376
      (Marginalized) mode:            0.3
       5% quantile:                   0.1897
      10% quantile:                   0.3784
      16% quantile:                   0.6055
      84% quantile:                   4.181
      90% quantile:                   4.75
      95% quantile:                   5.663
      Smallest interval(s) containing 68% and local modes:
       (0, 3.2) (local mode at 0.3 with rel. height 1; rel. area 0.6948)

  (2) Parameter "dp":
      Mean +- sqrt(V):                0.003572 +- 0.01953
      Median +- central 68% interval: 0.003585 +  0.01924 - 0.01944
      (Marginalized) mode:            0.005
       5% quantile:                   -0.02857
      10% quantile:                   -0.02144
      16% quantile:                   -0.01585
      84% quantile:                   0.02365
      90% quantile:                   0.02857
      95% quantile:                   0.036
      Smallest interval(s) containing 68% and local modes:
       (-0.016, 0.026) (local mode at 0.005 with rel. height 1; rel. area 0.6962)

  (3) Parameter "ds":
      Mean +- sqrt(V):                -0.004594 +- 0.009087
      Median +- central 68% interval: -0.006382 +  0.01242 - 0.007784
      (Marginalized) mode:            -0.01683
       5% quantile:                   -0.01616
      10% quantile:                   -0.01529
      16% quantile:                   -0.01417
      84% quantile:                   0.006563
      90% quantile:                   0.009417
      95% quantile:                   0.0128
      Smallest interval(s) containing 68% and local modes:
       (-0.017, -0.00068) (local mode at -0.017 with rel. height 1; rel. area 0.6739)
       (-0.00068, 0) (local mode at -0.00068 with rel. height 0.4677; rel. area 0.009516)

 Status of the MCMC
 ==================
 Convergence reached:                    yes
 Number of iterations until convergence: 16000
 Number of chains:                       5
 Number of iterations per chain:         100000
 Average efficiencies:
  (0) Parameter "sig0": 26.2%
  (1) Parameter "sig1": 25.46%
  (2) Parameter "dp": 18.19%
  (3) Parameter "ds": 35.19%

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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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