Bayesian analysis of galaxy SEDs from FUV to FIR

Astronomy and Astrophysics – Astrophysics

Scientific paper

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Scientific paper

Photometric data of galaxies ranging from rest-frame far-UV to far-IR allow to derive galaxy properties in a robust way by fitting the attenuated stellar emission and the related dust emission at the same time. For this purpose we have written a code which uses model spectra composed of the Maraston stellar population models, synthetic attenuation functions based on a modified Calzetti law, spectral line templates, and the Dale & Helou dust emission models. Depending on the input redshifts filter fluxes are computed for the model set and compared to the galaxy photometry by carrying out a Bayesian analysis. The code is tested by analysing a subset of the SINGS sample of nearby galaxies. We illustrate the quality of the results by comparing them to literature data and discuss the importance of IR data for the reliability of the fitting.

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