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

Published online by Cambridge University Press:  25 July 2014

Gabriela Calistro Rivera ,
Elisabeta Lusso ,
Joseph F. Hennawi  and
David W. Hogg
Gabriela Calistro Rivera
Affiliation:
Max Planck Institute for Astronomy, Königstuhl 17, 69117, Heidelberg, Germany
Elisabeta Lusso
Affiliation:
Max Planck Institute for Astronomy, Königstuhl 17, 69117, Heidelberg, Germany
Joseph F. Hennawi
Affiliation:
Max Planck Institute for Astronomy, Königstuhl 17, 69117, Heidelberg, Germany
David W. Hogg
Affiliation:
Center for Cosmology & Particle Physics, Department of Physics, New York University, USA
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Abstract

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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.

Keywords

Galaxies: activestatisticsfundamental parametersMethods: statistical
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 9 , Symposium S304: Multiwavelength AGN Surveys and Studies , October 2013 , pp. 228 - 229
Copyright
Copyright © International Astronomical Union 2014