BayeSED: Bayesian interpretation of the SEDs of galaxies

BayeSED is a general tool for the full Bayesian interpretation of the spectral energy distributions (SEDs) of galaxies. Given the multi-band photometries of galaxies, it can be used for the Bayesian parameter estimation by posteriori probability distributions (PDFs) and the Bayesian SED model comparison by Bayesian evidence. Except for the build-in SED models (stellar population synthesis models, blackbody, greybody and powerlaw), other SED models can be emulated with machine learning techniques. The linear combination of all selected SED model components will then be used for the full Bayesian interpretation of the observational SEDs of galaxies.



Version 1.0 - Aug. 2014

Version 2.0 - Nov. 2018