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