Fitting Spectral Energy Distributions of AGN - A Markov Chain Monte Carlo Approach

Fuente: arXiv
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Auteurs principaux: Calistro-Rivera, Gabriela, Lusso, Elisabeta, Hennawi, Joseph F., Hogg, David W.
Format: Preprint
Publié: 2014
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author Calistro-Rivera, Gabriela
Lusso, Elisabeta
Hennawi, Joseph F.
Hogg, David W.
author_facet Calistro-Rivera, Gabriela
Lusso, Elisabeta
Hennawi, Joseph F.
Hogg, David W.
contents We present AGNfitter: a Markov Chain Monte Carlo algorithm developed to fit the spectral energy distributions (SEDs) of active galactic nuclei (AGN) with different physical models of AGN components. This code is well suited to determine in a robust way multiple parameters and their uncertainties, which quantify the physical processes responsible for the panchromatic nature of active galaxies and quasars. We describe the technicalities of the code and test its capabilities in the context of X-ray selected obscured AGN using multiwavelength data from the XMM-COSMOS survey.
format Preprint
id arxiv_https___arxiv_org_abs_1401_5758
institution arXiv
publishDate 2014
record_format arxiv
spellingShingle Fitting Spectral Energy Distributions of AGN - A Markov Chain Monte Carlo Approach
Calistro-Rivera, Gabriela
Lusso, Elisabeta
Hennawi, Joseph F.
Hogg, David W.
Cosmology and Nongalactic Astrophysics
We present AGNfitter: a Markov Chain Monte Carlo algorithm developed to fit the spectral energy distributions (SEDs) of active galactic nuclei (AGN) with different physical models of AGN components. This code is well suited to determine in a robust way multiple parameters and their uncertainties, which quantify the physical processes responsible for the panchromatic nature of active galaxies and quasars. We describe the technicalities of the code and test its capabilities in the context of X-ray selected obscured AGN using multiwavelength data from the XMM-COSMOS survey.
title Fitting Spectral Energy Distributions of AGN - A Markov Chain Monte Carlo Approach
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/1401.5758