Analysis of galaxy SEDs from far-UV to far-IR with CIGALE: Studying a SINGS test sample
S. Noll, D. Burgarella, E. Giovannoli, V. Buat, D. Marcillac, J. C., Munoz-Mateos

TL;DR
This paper introduces CIGALE, a code for analyzing galaxy spectral energy distributions from far-UV to far-IR, demonstrating its effectiveness on a sample of nearby galaxies and revealing insights into galaxy properties and star formation activity.
Contribution
The paper presents CIGALE, a new tool that combines stellar, dust, and AGN emission models for comprehensive galaxy SED fitting, validated on the SINGS sample.
Findings
CIGALE provides robust estimates of galaxy mass, star formation rate, and dust attenuation.
Star formation activity correlates with galaxy morphology and decreases in more massive galaxies.
Dustiest galaxies are found in the same mass range as those with high star formation rates.
Abstract
Photometric data of galaxies covering the rest-frame wavelength range from far-UV to far-IR make it possible to derive galaxy properties with a high reliability by fitting the attenuated stellar emission and the related dust emission at the same time. For this purpose we wrote the code CIGALE (Code Investigating GALaxy Emission) that uses model spectra composed of the Maraston (or PEGASE) stellar population models, synthetic attenuation functions based on a modified Calzetti law, spectral line templates, the Dale & Helou dust emission models, and optional spectral templates of obscured AGN. Depending on the input redshifts, filter fluxes are computed for the model set and compared to the galaxy photometry by carrying out a Bayesian-like analysis. CIGALE was tested by analysing 39 nearby galaxies selected from SINGS. The reliability of the different model parameters was evaluated by…
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