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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": 35.7379
  (1) Parameter "sig1": 0.566434
  (2) Parameter "dp": 0.000721404
  (3) Parameter "ds": -0.0169982

 Results of the marginalization
 ==============================
 List of parameters and properties of the marginalized
 distributions:
  (0) Parameter "sig0":
      Mean +- sqrt(V):                35.89 +- 0.5158
      Median +- central 68% interval: 35.83 +  0.6055 - 0.5086
      (Marginalized) mode:            35.75
       5% quantile:                   35.1
      10% quantile:                   35.2
      16% quantile:                   35.32
      84% quantile:                   36.45
      90% quantile:                   36.65
      95% quantile:                   36.91
      Smallest interval(s) containing 68% and local modes:
       (35, 37) (local mode at 35.75 with rel. height 1; rel. area 0.8723)

  (1) Parameter "sig1":
      Mean +- sqrt(V):                1.94 +- 1.436
      Median +- central 68% interval: 1.667 +  1.741 - 1.164
      (Marginalized) mode:            0.3
       5% quantile:                   0.1569
      10% quantile:                   0.3131
      16% quantile:                   0.5031
      84% quantile:                   3.488
      90% quantile:                   3.951
      95% quantile:                   4.685
      Smallest interval(s) containing 68% and local modes:
       (0, 2.8) (local mode at 0.3 with rel. height 1; rel. area 0.715)

  (2) Parameter "dp":
      Mean +- sqrt(V):                0.002768 +- 0.01957
      Median +- central 68% interval: 0.002744 +  0.01948 - 0.01947
      (Marginalized) mode:            0.003
       5% quantile:                   -0.02924
      10% quantile:                   -0.02221
      16% quantile:                   -0.01673
      84% quantile:                   0.02303
      90% quantile:                   0.02783
      95% quantile:                   0.03502
      Smallest interval(s) containing 68% and local modes:
       (-0.016, 0.026) (local mode at 0.003 with rel. height 1; rel. area 0.6931)

  (3) Parameter "ds":
      Mean +- sqrt(V):                -0.004351 +- 0.009138
      Median +- central 68% interval: -0.006089 +  0.01248 - 0.007923
      (Marginalized) mode:            -0.01683
       5% quantile:                   -0.0161
      10% quantile:                   -0.01514
      16% quantile:                   -0.01401
      84% quantile:                   0.006909
      90% quantile:                   0.009704
      95% quantile:                   0.01297
      Smallest interval(s) containing 68% and local modes:
       (-0.017, -0.00068) (local mode at -0.017 with rel. height 1; rel. area 0.6625)
       (-0.00068, 0.00034) (local mode at -0.00068 with rel. height 0.491; rel. area 0.01891)

 Status of the MCMC
 ==================
 Convergence reached:                    yes
 Number of iterations until convergence: 20000
 Number of chains:                       5
 Number of iterations per chain:         100000
 Average efficiencies:
  (0) Parameter "sig0": 26.55%
  (1) Parameter "sig1": 22.12%
  (2) Parameter "dp": 18.05%
  (3) Parameter "ds": 35.6%

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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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