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

    Abstract

    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
    Pages228-229
    Number of pages2
    EditionS304
    ISBN (Print)9781107045248
    DOIs
    StatePublished - Jul 2014

    Publication series

    NameProceedings of the International Astronomical Union
    NumberS304
    Volume9
    ISSN (Print)1743-9213
    ISSN (Electronic)1743-9221

    Keywords

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

    ASJC Scopus subject areas

    • Medicine (miscellaneous)
    • Astronomy and Astrophysics
    • Nutrition and Dietetics
    • Public Health, Environmental and Occupational Health
    • Space and Planetary Science

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  • Cite this

    Rivera, G. C., Lusso, E., Hennawi, J. F., & Hogg, D. W. (2014). Fitting spectral energy distributions of AGN a Markov chain Monte Carlo approach. In Multiwavelength AGN Surveys and Studies (S304 ed., pp. 228-229). (Proceedings of the International Astronomical Union; Vol. 9, No. S304). Cambridge University Press. https://doi.org/10.1017/S1743921314003858