Fitting spectral energy distributions of AGN a Markov chain Monte Carlo approach

Gabriela Calistro Rivera, Elisabeta Lusso, Joseph F. Hennawi, David W. Hogg

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    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.

    Original languageEnglish (US)
    Title of host publicationMultiwavelength AGN Surveys and Studies
    PublisherCambridge University Press
    Number of pages2
    ISBN (Print)9781107045248
    StatePublished - Jul 2014

    Publication series

    NameProceedings of the International Astronomical Union
    ISSN (Print)1743-9213
    ISSN (Electronic)1743-9221


    • Galaxies: active
    • Methods: statistical
    • fundamental parameters
    • statistics

    ASJC Scopus subject areas

    • Astronomy and Astrophysics
    • Space and Planetary Science


    Dive into the research topics of 'Fitting spectral energy distributions of AGN a Markov chain Monte Carlo approach'. Together they form a unique fingerprint.

    Cite this