Type Ia Supernova Colors and Ejecta Velocities: Hierarchical Bayesian Regression with Non-Gaussian Distributions
Authors: Kaisey S. Mandel, Ryan J. Foley, and Robert P. Kirshner
Mandel, Foley, & Kirshner
2014 The Astrophysical Journal79775.
Provider: AAS Journals
Caption: Figure 8.
Directed acyclic graph describing the hierarchical Bayesian model for colors and spectroscopic velocities. The open boxes represent the unknown parameters of individual supenovae (the dust extinction and intrinsic colors ) and the unknown hyperparameters of the SN Ia population () and the dust population (τ). The shaded boxes represent the measured data: the spectroscopic velocity measurement vs and the observed colors . The arrows represent links of conditional probability relating the hyperparameters, parameters, and the data (green: intrinsic effects; red: dust effects; purple: measurement error).