Mcmc Sed Fitting Of Candels Galaxies: A Realistic Error Budget

Details Mcmc Sed Fitting Of Candels Galaxies: A Realistic Error Budget Mcmc Sed Fitting Of Candels Galaxies: A Realistic Error Budget

Jan 2012

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21941607a&link_type=abstract

American Astronomical Society, AAS Meeting #219, #416.07

Astronomy and Astrophysics

Astronomy

Scientific paper

Spectral Energy Distribution (SED) fitting is a powerful tool to gain insights on galaxy formation and evolution. The Markov Chain Monte Carlo technique allows one to explore large parameter space efficiently, as well as to reveal degeneracies and compute uncertainties accurately. However, systematic errors associated to the assumptions made in modeling the stellar populations, which are often a major source of uncertainty, need to be properly taken into account. We perform SED fitting using the publicly available code GalMC (Acquaviva et al 2011) on several thousand galaxies with spectroscopic redshifts imaged by the CANDELS survey in GOODS-S. We evaluate and compare the relative impact of statistical and systematic uncertainties on the parameters of SED fitting, allowing in particular different choices for the initial mass function, stellar population synthesis model, and dust absorption law.

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