Deep 1.1 mm-wavelength imaging of the GOODS-South field by AzTEC/ASTE -- II. Redshift distribution and nature of the submillimetre galaxy population
Min S. Yun, K. S. Scott, Yicheng Guo, I. Aretxaga, M. Giavalisco, J., E. Austermann, P. Capak, Yuxi Chen, H. Ezawa, B. Hatsukade, D. H. Hughes, D., Iono, S. Johnson, R. Kawabe, K. Kohno, J. Lowenthal, N. Miller, G. Morrison,, T. Oshima, T. A. Perera, M. Salvato, J. Silverman

TL;DR
This study identifies and analyzes 48 submillimeter galaxies in the GOODS-South field, revealing their high redshift distribution, diverse properties, and intense star formation activity, contributing to understanding galaxy evolution at z>2.
Contribution
It provides detailed counterpart identification, redshift distribution, and physical characterization of a significant sample of 1.1mm-selected galaxies in GOODS-South, highlighting their high redshift and star formation properties.
Findings
80% of sources are at z>2, with 20% at z>3.3
Galaxies exhibit high SFRs of 200-2000 solar masses per year
Sources are among the most luminous and massive at z>2
Abstract
We report the results of the counterpart identification and a detailed analysis of the physical properties of the 48 sources discovered in our deep 1.1mm wavelength imaging survey of the GOODS-South field using the AzTEC instrument on the Atacama Submillimeter Telescope Experiment (ASTE). One or more robust or tentative counterpart candidate is found for 27 and 14 AzTEC sources, respectively, by employing deep radio continuum, Spitzer MIPS & IRAC, and LABOCA 870 micron data. Five of the sources (10%) have two robust counterparts each, supporting the idea that these galaxies are strongly clustered and/or heavily confused. Photometric redshifts and star formation rates (SFRs) are derived by analyzing UV-to-optical and IR-to-radio SEDs. The median redshift of z~2.6 is similar to other earlier estimates, but we show that 80% of the AzTEC-GOODS sources are at z>2, with a significant high…
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.
