Radio AGN feedback sustains quiescence only in a minority of massive galaxies
Huiling Liu, Yan Lu, Hui Hong, Huiyuan Wang, Houjun Mo, Jing Wang, Wanli Ouyang, Ziwen Zhang, Enci Wang, Hongxin Zhang, Yangyao Chen, Qinxun Li, Hao Li, Mengkui Zhou

TL;DR
This study uses AI to distinguish galaxies where radio AGN feedback effectively prevents gas cooling from those where it does not, revealing that only a minority of massive galaxies are significantly influenced by radio AGNs.
Contribution
Introduces an AI-based method to classify galaxies by radio feedback effectiveness, challenging the assumption that radio AGNs universally maintain galaxy quiescence.
Findings
RFE galaxies are all dynamically hot with little cold gas.
RFI-Q galaxies often have substantial cold gas and extended disks.
Most RFE galaxies have experienced multiple radio feedback cycles.
Abstract
Radio active galactic nuclei (AGNs) eject a huge amount of energy into the surrounding medium and are thought to potentially prevent gas cooling and maintain the quiescence of massive galaxies. The short-lived, sporadic, and anisotropic nature of radio activities, coupled with the detection of abundant cold gas around some massive quiescent galaxies, raise questions about the efficiency of radio feedback in massive galaxies. Here we present an innovative method rooted in artificial intelligence to separate galaxies in which radio feedback is effective (RFE), regardless of current radio emission, from those in which radio feedback is ineffective (RFI), according to their optical images. Galaxies categorized as RFE are all dynamically hot, whereas quiescent RFI (RFI-Q) galaxies usually have extended cold-disk components. At given stellar mass, dark matter halos hosting RFE galaxies are…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Radio Astronomy Observations and Technology
