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Fitting the spectral energy distributions of galaxies with CIGALE : Code Investigating GALaxy Emission

Published online by Cambridge University Press:  21 March 2013

E. Giovannoli
Affiliation:
Department of Physics, University of Western Cape, Private Bag X17, 7535, Belville, Cape Town, South Africa email: elodie.giovannoli@gmail.com
V. Buat
Affiliation:
Laboratoire dAstrophysique de Marseille, OAMP, Université Aix-marseille, CNRS, 38 rue Frédéric Joliot-Curie, 13388 Marseille, cedex 13, France email: veronique.buat@oamp.fr
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Abstract

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We use the code CIGALE (Code Investigating Galaxies Emission: Burgarella et al. 2005; Noll et al. 2009) which provides physical information about galaxies by fitting their UV (ultraviolet)-to-IR (infrared) spectral energy distribuition (SED). CIGALE is based on the use of a UV-optical stellar SED plus a dust IR-emitting component. We study a sample of 136 Luminous Infrared Galaxies (LIRGs) at z∼0.7 in the ECDF-S previously studied in Giovannoli et al. (2011). We focus on the way the empirical Dale & Helou (2002) templates reproduce the observed SEDs of the LIRGs. Fig. 1 shows the total infrared luminosity (LIR) provided by CIGALE using the 64 templates (x axis) and using 2 templates (y axis) representative of the whole sample. Despite the larger dispersion when only 1 or 2 Herschel data are available, the agreement between both values is good with Δ log LIR = 0.0013 ± 0.045 dex. We conclude that 2 IR SEDs can be used alone to determine the LIR of LIRGs at z∼0.7 in an SED-fitting procedure.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2013

References

Burgarella, D., Buat, V., & Iglesias-Páramo, J. 2005, MNRAS, 360, 1413CrossRefGoogle Scholar
Dale, D. A. & Helou, G. 2002, ApJ, 576, 159CrossRefGoogle Scholar
Giovannoli, E., Buat, V., Noll, S., Burgarella, D., & Magnelli, B. 2011, A&A, 525, 150Google Scholar
Noll, S., et al. 2009, MNRAS, 507, 1793Google Scholar