Radiative efficiency, variability and Bondi accretion onto massive black holes: from mechanical to quasar feedback in brightest cluster galaxies
H.R. Russell (1), B.R. McNamara (1,2,3), A.C. Edge (4), M.T. Hogan, (4), R.A. Main (1), A.N. Vantyghem (1), ((1) U. Waterloo, (2) Perimeter, Institute, (3) CfA, (4) Durham)

TL;DR
This study investigates the connection between nuclear X-ray emission, accretion processes, and jet power in brightest cluster galaxies, revealing that X-ray luminosity correlates with accretion rate and varies over time, indicating complex AGN feedback mechanisms.
Contribution
It provides new insights into the relationship between accretion rates, X-ray emission, and jet activity, highlighting variability and the transition to quasar-like states in brightest cluster galaxies.
Findings
Nuclear X-ray emission correlates with accretion rate from X-ray cavities.
Jets are active at least 50% of the time in systems with recent AGN outbursts.
X-ray luminosity surpasses jet power at accretion rates above a few percent of Eddington.
Abstract
We examine unresolved nuclear X-ray sources in 57 brightest cluster galaxies to study the relationship between nuclear X-ray emission and accretion onto supermassive black holes (SMBHs). The majority of the clusters in our sample have prominent X-ray cavities embedded in the surrounding hot atmospheres, which we use to estimate mean jet power and average accretion rate onto the SMBHs over the past several hundred Myr. We find that ~50% of the sample have detectable nuclear X-ray emission. The nuclear X-ray luminosity is correlated with average accretion rate determined using X-ray cavities, which is consistent with the hypothesis that nuclear X-ray emission traces ongoing accretion. The results imply that jets in systems that have experienced recent AGN outbursts, in the last ~10^7yr, are `on' at least half of the time. Nuclear X-ray sources become more luminous with respect to the…
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.
