The SCUBA Half-Degree Extragalactic Survey (SHADES) - VIII. The Nature of Faint Submm Galaxies in SHADES, SWIRE and SXDF Surveys
D.L. Clements, M.Vaccari, T. Babbedge, S. Oliver, M. Rowan-Robinson,, P. Davoodi, R. Ivison, D. Farrah, J. Dunlop, Dave Shupe, I. Waddington, C., Simpson, H. Furusawa, S. Serjeant, A. Afonso-Luis, D.M. Alexander, I., Aretxaga, A. Blain, C. Borys, S. Chapman, K. Coppin, L. Dunne

TL;DR
This study analyzes the spectral energy distributions of faint submillimetre galaxies from the SHADES survey, revealing that starburst activity predominantly powers their luminosity, with minimal AGN contribution, and suggesting galaxy 'downsizing' at lower redshifts.
Contribution
It provides detailed SED fitting and redshift estimates for faint submm galaxies, clarifying their nature and the role of dust heating mechanisms, which was not well understood before.
Findings
Most sources are powered by starburst activity with Arp220 or M82 templates.
AGN contribute minimally to the bolometric luminosity of these galaxies.
Evidence of galaxy 'downsizing' with lower mass hosts at lower redshifts.
Abstract
We present the optical-to-submm spectral energy distributions for 33 radio & mid-IR identified submillimetre galaxies discovered via the SHADES 850 micron SCUBA imaging in the Subaru-XMM Deep Field (SXDF). Optical data for the sources comes from the Subaru-XMM Deep Field (SXDF) and mid- and far-IR fluxes from SWIRE. We obtain photometric redshift estimates for our sources using optical and IRAC 3.6 and 4.5 micron fluxes. We then fit spectral energy distribution (SED) templates to the longer wavelength data to determine the nature of the far-IR emission that dominates the bolometric luminosity of these sources. The infrared template fits are also used to resolve ambiguous identifications and cases of redshift aliasing. The redshift distribution obtained broadly matches previous results for submm sources and on the SHADES SXDF field. Our template fitting finds that AGN, present in about…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
