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arXiv · astro-ph/0411390

GALEX UV Spectroscopy and Deep Imaging of LIRGs in the ELAIS S1 field

Abstract

The ELAIS S1 field was observed by GALEX in both its Wide Spectroscopic and Deep Imaging Survey modes. This field was previously observed by the Infrared Space Observatory and we made use of the catalogue of multi-wavelength data published by the ELAIS consortium to select galaxies common to the two samples. Among the 959 objects with GALEX spectroscopy, 88 are present in the ELAIS catalog and 19 are galaxies with an optical spectroscopic redshift. The distribution of redshifts covers the range $0<z<1.6$. The selected galaxies have bolometric IR luminosities $10<Log(L_{IR})<13$ (deduced from the $15 μm$ flux using ISOCAM) which means that we cover a wide range of galaxies from normal to Ultra Luminous IR Galaxies. The mean ($σ$) UV luminosity (not corrected for extinction) amounts to $Log(λ.L_{1530}) = 9.8 (0.6)$ $L_\sun$ for the low-z ($z \le 0.35$) sample. The UV slope $β$ (assuming $f_λ\propto λ^β$) correlates with the GALEX FUV-NUV color if the sample is restricted to galaxies below $z < 0.1$. Taking advantage of the UV and IR data, we estimate the dust attenuation from the IR/UV ratio and compare it to the UV slope $β$. We find that it is not possible to uniquely estimate the dust attenuation from $β$ for our sample of galaxies. These galaxies are highly extinguished with a median value $A_{FUV} = 2.7 \pm 0.8$. Once the dust correction applied, the UV- and IR-based SFRs correlate. For the closest galaxy with the best quality spectrum, we see a feature consistent with being produced by a bump near 220nm in the attenuation curve.

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D. Burgarella, V. Buat, T. Small, T. A. Barlow, S. Boissier, A. Gil de Paz, T. M. Heckman, B. F. Madore, D. C. Martin, R. M. Rich, L. Bianchi, Y. -I. Byun, J. Donas, K. Forster, P. G. Friedman, P. N. Jelinsky, Y. -W. Lee, R. F. Malina, B. Milliard, P. Morrissey, S. G. Neff, D. Schiminovich, O. H. W. Siegmund, A. S. Szalay, B. Y. Welsh, T. K. Wyder. 2005-04-20. GALEX UV Spectroscopy and Deep Imaging of LIRGs in the ELAIS S1 field. https://doi.org/10.1086/423894

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