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Encoding of the infrared excess in the<i>NUVrK</i>color diagram for star-forming galaxies

S. ArnoutsAix-Marseille Université, CNRS, Laboratoire d’Astrophysique de Marseille, UMR 7326, 13388 Marseille, FranceE. Le Floc’hLaboratoire AIM, CEA/DSM-CNRS-Université Paris Diderot, IRFU/Service d’Astrophysique, Bât. 709, CEA-Saclay, 91191 Gif- sur-Yvette Cedex, FranceJacopo ChevallardUPMC-CNRS, UMR7095, Institut d’Astrophysique de Paris, 75014 Paris, FranceBradley D. JohnsonUPMC-CNRS, UMR7095, Institut d’Astrophysique de Paris, 75014 Paris, FranceO. IlbertAix-Marseille Université, CNRS, Laboratoire d’Astrophysique de Marseille, UMR 7326, 13388 Marseille, FranceM. TreyerAix-Marseille Université, CNRS, Laboratoire d’Astrophysique de Marseille, UMR 7326, 13388 Marseille, FranceH. AusselLaboratoire AIM, CEA/DSM-CNRS-Université Paris Diderot, IRFU/Service d’Astrophysique, Bât. 709, CEA-Saclay, 91191 Gif- sur-Yvette Cedex, FranceP. CapakSpitzer Science Center, MS 314-6, California Institute of Technology, Pasadena, CA 91125, USAD. B. SandersInstitute for Astronomy, 2680 Woodlawn Dr., University of Hawaii, Honolulu, HI 96822, USAN. ScovilleCalifornia Institute of Technology, MC 249-17, 1200 East California Boulevard, Pasadena, CA 91125, USAH. J. McCrackenUPMC-CNRS, UMR7095, Institut d’Astrophysique de Paris, 75014 Paris, FranceB. MilliardAix-Marseille Université, CNRS, Laboratoire d’Astrophysique de Marseille, UMR 7326, 13388 Marseille, FranceL. PozzettiINAF – Osservatorio Astronomico di Bologna, via Ranzani 1, 40127 Bologna, ItalyM. SalvatoExcellence Cluster, Boltzmann Strasse 2, 85748 Garching, Germany
2013en
ABI

Аннотация

We present an empirical method of assessing the star formation rate (SFR) of star-forming galaxies based on their locations in the rest-frame color–color diagram (NUV − r) vs. (r − K). By using the Spitzer 24 μm sample in the COSMOS field (~16 400 galaxies with 0.2 ≤ z ≤ 1.3) and a local GALEX-SDSS-SWIRE sample (~700 galaxies with z ≤ 0.2), we show that the mean infrared excess ⟨IRX⟩ = ⟨ LIR/LUV ⟩ can be described by a single vector, NRK , that combines the two colors. The calibration between ⟨IRX⟩ and NRK allows us to recover the IR luminosity, LIR, with an accuracy of σ ~ 0.21 for the COSMOS sample and 0.27 dex for the local one. The SFRs derived with this method agree with the ones based on the observed (UV+IR) luminosities and on the spectral energy distribution (SED) fitting for the vast majority (~85%) of the star-forming population. Thanks to a library of model galaxy SEDs with realistic prescriptions for the star formation history, we show that we need to include a two-component dust model (i.e., birth clouds and diffuse ISM) and a full distribution of galaxy inclinations in order to reproduce the behavior of the ⟨IRX⟩ stripes in the NUVrK diagram. In conclusion, the NRK method, based only on the rest-frame UV/optical colors available in most of the extragalactic fields, offers a simple alternative of assessing the SFR of star-forming galaxies in the absence of far-IR or spectral diagnostic observations.

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