Resolving the Cosmic Far-Infrared Background at 450 and 850 Microns with SCUBA-2
Chian-Chou Chen (1), Lennox L. Cowie (1), Amy J. Barger (1,2,3),, Caitlin. M. Casey (1), Nicholas Lee (1), David B. Sanders (1), Wei-Hao Wang, (4), Jonathan P. Williams (1), ((1) IfA, University of Hawaii, (2) University, of Wisconsin-Madison, (3) Department of Physics

TL;DR
This study uses deep SCUBA-2 observations to measure the cosmic far-infrared background at 450 and 850 microns, revealing the contributions of faint galaxies and resolving a significant portion of the background light.
Contribution
It provides the deepest measurements to date of the number counts at 450um and 850um, and assesses the contribution of faint sources to the cosmic infrared background.
Findings
Measured 113.9 Jydeg^{-2} of EBL at 450um, mainly from 1-10mJy sources.
Measured 37.3 Jydeg^{-2} of EBL at 850um, with a large uncertainty range.
Found a low fraction of blended sources (~12.5%) at 850um, with no significant multiplicity correction needed.
Abstract
We use the SCUBA-2 submillimeter camera mounted on the JCMT to obtain extremely deep number counts at 450 and 850um. We combine data on two cluster lensing fields, A1689 and A370, and three blank fields, CDF-N, CDF-S, and COSMOS, to measure the counts over a wide flux range at each wavelength. We use statistical fits to broken power law representations to determine the number counts. This allows us to probe to the deepest possible level in the data. At both wavelengths our results agree well with the literature in the flux range over which they have been measured, with the exception of the 850um counts in CDF-S, where we do not observe the counts deficit found by previous single-dish observations. At 450um, we detect significant counts down to ~1mJy, an unprecedented depth at this wavelength. By integrating the number counts above this flux limit, we measure 113.9^{+49.7}_{-28.4}…
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.
