AGNfitter: a Bayesian MCMC approach to fitting spectral energy distributions of AGNs
(2016)
Journal Article
Calistro Rivera, G., Lusso, E., Hennawi, J. F., & Hogg, D. W. (2016). AGNfitter: a Bayesian MCMC approach to fitting spectral energy distributions of AGNs. Astrophysical Journal, 833(1), Article 98. https://doi.org/10.3847/1538-4357/833/1/98
We present AGNfitter, a publicly available open-source algorithm implementing a fully Bayesian Markov Chain Monte Carlo method to fit the spectral energy distributions (SEDs) of active galactic nuclei (AGNs) from the submillimeter to the UV, allowing... Read More about AGNfitter: a Bayesian MCMC approach to fitting spectral energy distributions of AGNs.