Detection of radio-AGN in dust-obscured galaxies using deep uGMRT radio continuum observations
Abhijit Kayal, Veeresh Singh, C.H. Ishwara Chandra, Yogesh Wadadekar, and Sushant Dutta

TL;DR
This study uses deep uGMRT and JVLA radio observations to identify and characterize radio-AGN in dust-obscured galaxies, revealing their early AGN activity phase and faint radio emissions in high-redshift DOGs.
Contribution
It demonstrates the effectiveness of deep 400 MHz uGMRT observations in detecting radio-AGN in dust-obscured galaxies and characterizes their radio properties, highlighting their early AGN activity phase.
Findings
Deep 400 MHz uGMRT observations detect 28% of DOGs, outperforming JVLA and LOFAR.
Most DOGs show Compact-Steep-Spectrum or Peaked-Spectrum radio sources.
Faint radio emission detected in radio-undetected DOGs, useful for future SKA surveys.
Abstract
Radio observations being insensitive to the dust-obscuration, have been exploited to unveil the population of Active Galactic Nuclei (AGN) residing in galaxies with large dust content. In this paper, we investigate the radio characteristics of 321 dust-obscured galaxies (DOGs; S/S 1000) by using mainly deep band-3 (250550 MHz) observations from the upgraded Giant Metrewave Radio Telescope (uGMRT) and 1.5 GHz Jansky Very Large Array (JVLA) observations. We find that, for our sample of DOGs, deep (median noise-rms 30 Jy beam) 400 MHz band-3 uGMRT observations yield the highest detection rate (28 per cent) among those obtained with the JVLA, and the LOw Frequency ARray (LOFAR) radio observations and the X-ray observations. The radio characteristics of our sample sources, linear extent (40 kpc at …
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