Probing the impact of radio-mode feedback on the properties of the cool circumgalactic medium
Yu-Ling Chang, Ting-Wen Lan, J. Xavier Prochaska, Lucas Napolitano,, Abhijeet Anand, J. Aguilar, S. Ahlen, D. Brooks, T. Claybaugh, A. de la, Macorra, Arjun Dey, P. Doel, S. Gontcho A Gontcho, J. Guy, S. Juneau, T., Kisner, A. Lambert, M. Landriau, L. Le Guillou, M. Manera

TL;DR
This study investigates whether radio-mode feedback from massive galaxies affects the cool circumgalactic medium (CGM) by comparing properties around radio galaxies and non-radio galaxies, finding no significant differences but confirming substantial cool gas presence.
Contribution
It provides the first large statistical analysis of cool CGM properties around radio galaxies, constraining the impact of radio-mode feedback on the CGM.
Findings
No significant difference in MgII absorption properties between radio and non-radio galaxies.
Radio galaxies' CGM contains about 10^10 solar masses of cool gas.
Results place constraints on models of radio-mode feedback effects.
Abstract
We explore the influence of radio-mode feedback on the properties of the cool circumgalactic medium (CGM). To this end, we assemble a statistical sample of approximately 30,000 radio galaxies with background quasars by combining optical spectroscopic measurements of luminous red galaxies (LRGs) and quasars from the year 1 dataset of Dark Energy Spectroscopic Instrument (DESI) and radio sources from the LOw-Frequency ARray Two-metre Sky Survey (LoTSS) DR2 catalog and the Very Large Array Sky Survey (VLASS) quick look catalog. Galaxies with similar optical properties but with no radio counterparts in LoTSS and VLASS are selected as the control group. We measure the cool CGM properties of radio galaxies and their control samples traced by MgII absorption lines, including covering fraction, rest equivalent width, and gas kinematics. Our results show no significant difference in the…
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Taxonomy
TopicsRadio Wave Propagation Studies · Differential Equations and Numerical Methods · Iterative Methods for Nonlinear Equations
