The Herschel Bright Sources (HerBS): Sample definition and SCUBA-2 observations
Tom J. L. C. Bakx, S. A. Eales, M. Negrello, M. W. L. Smith, E., Valiante, W. S. Holland, M. Baes, N. Bourne, D. L. Clements, H. Dannerbauer,, G. De Zotti, L. Dunne, S. Dye, C. Furlanetto, R. J. Ivison, S. Maddox, L., Marchetti, M. J. Micha{\l}owski, A. Omont, I. Oteo

TL;DR
This paper introduces the HerBS sample of high-redshift Herschel sources, presents SCUBA-2 observations, and analyzes their dust properties and lensing fractions, revealing a high prevalence of gravitational lensing among these bright, distant galaxies.
Contribution
The study provides the first detailed analysis of the Herschel Bright Sources sample, including SCUBA-2 observations and dust temperature estimates, highlighting the high lensing fraction in this population.
Findings
152 of 189 observed sources detected with SCUBA-2
Dust temperatures of approximately 21 K and 46 K derived from spectral fitting
Estimated 76% of the sources are gravitationally lensed
Abstract
We present the Herschel Bright Sources (HerBS) sample, a sample of bright, high-redshift Herschel sources detected in the 616.4 square degree H-ATLAS survey. The HerBS sample contains 209 galaxies, selected with a 500 {\mu}m flux density greater than 80 mJy and an estimated redshift greater than 2. The sample consists of a combination of HyLIRGs and lensed ULIRGs during the epoch of peak cosmic star formation. In this paper, we present SCUBA-2 observations at 850 m of 189 galaxies of the HerBS sample, 152 of these sources were detected. We fit a spectral template to the Herschel-SPIRE and 850 m SCUBA-2 flux densities of 22 sources with spectroscopically determined redshifts, using a two-component modified blackbody spectrum as a template. We find a cold- and hot-dust temperature of 21.29 K and 45.80 K, a cold-to-hot dust mass ratio of 26.62 and a of 1.83. The poor…
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.
