Completing the Census of AGN in GOODS-S/HUDF: New Ultra-Deep Radio Imaging and Predictions for JWST
Stacey Alberts, Wiphu Rujopakarn, George Rieke, Preshanth Jagannathan,, Kristina Nyland

TL;DR
This study uses ultra-deep radio and multi-wavelength data in GOODS-S/HUDF to identify and characterize faint AGN, revealing their prevalence and properties, and discusses prospects for a complete census with JWST.
Contribution
It provides a comprehensive, multi-wavelength AGN census in GOODS-S/HUDF, including new radio data and analysis techniques, and discusses the potential for JWST to identify heavily obscured AGN.
Findings
Half of the faint radio sources host AGN.
Approximately 12% show radio excess indicating radio-loud activity.
About 16% of radio-quiet AGN candidates have flat or inverted spectra.
Abstract
A global understanding of Active Galactic Nuclei (AGN) and their host galaxies hinges on completing a census of AGN activity without selection biases down to the low-luminosity regime. Toward that goal, we identify AGN within faint radio populations at cosmic noon selected from new ultra-deep, high resolution imaging from the Karl G. Jansky Very Large Array at 6 and 3 GHz. These radio data are spatially coincident with the ultra-deep legacy surveys in the GOODS-S/HUDF region, particularly the unparalleled Chandra 7 Ms X-ray imaging. Combined, these datasets provide a unique basis for a thorough census of AGN, allowing simultaneous identification via (1) high X-ray luminosity; (2) hard X-ray spectra; (3) excess X-ray relative to 6 GHz; (4) mid-IR colors; (5) SED fitting; (6) radio excess via the radio-infrared relation; (7) flat radio spectra via multi-band radio; and (8) optical…
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.
