The Cluster and Field Galaxy AGN Fraction at z = 1 to 1.5: Evidence for a Reversal of the Local Anticorrelation Between Environment and AGN Fraction
Paul Martini (The Ohio State University), Eric D. Miller, M. Brodwin,, S.A. Stanford, Anthony H. Gonzalez, M. Bautz, R.C. Hickox, D. Stern, P.R., Eisenhardt, A. Galametz, D. Norman, B.T. Jannuzi, A. Dey, S. Murray, C., Jones, and M.J.I. Brown

TL;DR
This study measures the AGN fraction in galaxy clusters at z=1-1.5, revealing a reversal of the local environment-AGN relationship and indicating rapid evolution of cluster AGN compared to the field.
Contribution
It provides new measurements of cluster and field AGN fractions at high redshift, showing environment-dependent evolution and a reversal of the local anticorrelation between environment and AGN activity.
Findings
Cluster AGN fraction at z=1-1.5 is about 3% for luminous AGN.
Cluster AGN fraction is 30 times higher than at z~0.25.
Cluster and field AGN fractions are similar at 1<z<1.5, unlike in the local universe.
Abstract
The fraction of cluster galaxies that host luminous AGN is an important probe of AGN fueling processes, the cold ISM at the centers of galaxies, and how tightly black holes and galaxies co-evolve. We present a new measurement of the AGN fraction in a sample of 13 clusters of galaxies (M >= 10^{14} Msun) at 1<z<1.5 selected from the Spitzer/IRAC Shallow Cluster Survey, as well as the field fraction in the immediate vicinity of these clusters, and combine these data with measurements from the literature to quantify the relative evolution of cluster and field AGN from the present to z~3. We estimate that the cluster AGN fraction at 1<z<1.5 is f_A = 3.0^{+2.4}_{-1.4}% for AGN with a rest-frame, hard X-ray luminosity greater than L_{X,H} >= 10^{44} erg/s. This fraction is measured relative to all cluster galaxies more luminous than M*_{3.6}(z)+1, where M*_{3.6}(z) is the absolute magnitude…
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.
