A Search for Missing Radio Sources at $z\gtrsim4$ Using Lyman Dropouts
Devika Shobhana, Ray P. Norris, Miroslav D. Filipovi\'c, Luke A., Barnes, Andrew M. Hopkins, Isabella Prandoni, Michael J. I. Brown, Stanislav, S. Shabala

TL;DR
This study uses the Lyman Dropout technique with ASKAP data to identify 148 candidate high-redshift radio sources, revealing that most are likely AGN-driven and some may be hosted by starburst galaxies, thus uncovering missing high-z radio sources.
Contribution
First application of Lyman Dropout method to find faint high-redshift radio sources using ASKAP data, expanding the known population beyond previous limits.
Findings
Identified 148 candidate high-z radio sources with ASKAP.
Most radio emissions originate from AGN activity.
Approximately 10% of sources show signs of being hosted by starburst galaxies.
Abstract
Using the Lyman Dropout technique, we identify 148 candidate radio sources at from the 887.5 MHz Australian Square Kilometer Array Pathfinder (ASKAP) observations of the GAMA23 field. About 112 radio sources are currently known beyond redshift . However, simulations predict that hundreds of thousands of radio sources exist in that redshift range, many of which are probably in existing radio catalogues but do not have measured redshifts, either because their optical emission is too faint or because of the lack of techniques that can identify candidate high-redshift radio sources (HzRSs). Our study addresses these issues using the Lyman Dropout search technique. This newly built sample probes radio luminosities that are 1-2 orders of magnitude fainter than known radio-active galactic nuclei (AGN) at similar redshifts, thanks to ASKAP's sensitivity. We investigate…
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Taxonomy
TopicsRadio Astronomy Observations and Technology · Computational Physics and Python Applications · Astrophysics and Cosmic Phenomena
