----------------------------------------------------- Summary ----------------------------------------------------- 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% ----------------------------------------------------- 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 -----------------------------------------------------