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[ascl:2410.005] BayeSED: Bayesian SED synthesis and analysis of galaxies and AGNs

BayeSED implements full Bayesian interpretation of spectral energy distributions (SEDs) of galaxies and AGNs. It performs Bayesian parameter estimation using posteriori probability distributions (PDFs) and Bayesian SED model comparison using Bayesian evidence. Its latest version BayeSED3 supports various built-in SED models and can emulate other SED models using machine learning techniques.

Code site:
https://github.com/hanyk/BayeSED3 https://bitbucket.org/hanyk/bayesed
Used in:
https://ui.adsabs.harvard.edu/abs/2024ApJ...964...95S
Described in:
https://ui.adsabs.harvard.edu/abs/2023ApJS..269...39H
Bibcode:
2024ascl.soft10005H

Views: 459

ascl:2410.005
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