The University of Southampton
University of Southampton Institutional Repository

Cosmic evolution of the incidence of Active Galactic Nuclei in massive clusters: simulations versus observations

Cosmic evolution of the incidence of Active Galactic Nuclei in massive clusters: simulations versus observations
Cosmic evolution of the incidence of Active Galactic Nuclei in massive clusters: simulations versus observations
This paper explores the role of small-scale environment (<1 Mpc) in modulating accretion events on to supermassive black holes by studying the incidence of active galactic nuclei (AGNs) in massive clusters of galaxies. A flexible, data-driven semi-empirical model is developed based on a minimal set of parameters and under the zero-order assumption that the incidence of AGNs in galaxies is independent of environment. This is used to predict how the fraction of X-ray selected AGN among galaxies in massive dark matter haloes (⁠≳3×1014M⊙⁠) evolves with redshift and reveal tensions with observations. At high redshift, z ∼ 1.2, the model underpredicts AGN fractions, particularly at high X-ray luminosities, LX(2−10keV)≳1044ergs−1⁠. At low redshift, z ∼ 0.2, the model estimates fractions of moderate luminosity AGN (⁠LX(2−10keV)≳1043ergs−1⁠) that are a factor of 2–3 higher than the observations. These findings reject the zero-order assumption on which the semi-empirical model hinges and point to a strong and redshift-dependent influence of the small-scale environment on the growth of black holes. Cluster of galaxies appear to promote AGN activity relative to the model expectation at z ∼ 1.2 and suppress it close to the present day. These trends could be explained by the increasing gas content of galaxies towards higher redshift combined with an efficient triggering of AGNs at earlier times in galaxies that fall on to clusters.
astro-ph.GA, astro-ph.HE
1365-2966
1041–1056
Rodríguez, Iván Muñoz
5a040d06-81ed-4dc8-b017-b26e93aba47b
Georgakakis, Antonis
9cab20e1-44db-4d30-a608-8b420c54a3b0
Shankar, Francesco
b10c91e4-85cd-4394-a18a-d4f049fd9cdb
Allevato, Viola
cced4e40-6a45-4261-911a-442d99a6aeb7
Bonoli, Silvia
3b8caa29-7d4b-47a9-8dba-ec67ffcae47a
Brusa, Marcella
74b5f085-00ab-4e11-8de3-5d6c5575f0d0
Lapi, Andrea
126b5f87-60fa-4a57-8b84-802d5ffb1f17
Viitanen, Akke
4c59801d-39fe-4b75-89cd-14bf27e5950a
Rodríguez, Iván Muñoz
5a040d06-81ed-4dc8-b017-b26e93aba47b
Georgakakis, Antonis
9cab20e1-44db-4d30-a608-8b420c54a3b0
Shankar, Francesco
b10c91e4-85cd-4394-a18a-d4f049fd9cdb
Allevato, Viola
cced4e40-6a45-4261-911a-442d99a6aeb7
Bonoli, Silvia
3b8caa29-7d4b-47a9-8dba-ec67ffcae47a
Brusa, Marcella
74b5f085-00ab-4e11-8de3-5d6c5575f0d0
Lapi, Andrea
126b5f87-60fa-4a57-8b84-802d5ffb1f17
Viitanen, Akke
4c59801d-39fe-4b75-89cd-14bf27e5950a

Rodríguez, Iván Muñoz, Georgakakis, Antonis, Shankar, Francesco, Allevato, Viola, Bonoli, Silvia, Brusa, Marcella, Lapi, Andrea and Viitanen, Akke (2022) Cosmic evolution of the incidence of Active Galactic Nuclei in massive clusters: simulations versus observations. Monthly Notices of the Royal Astronomical Society, 518 (1), 1041–1056. (doi:10.1093/mnras/stac3114).

Record type: Article

Abstract

This paper explores the role of small-scale environment (<1 Mpc) in modulating accretion events on to supermassive black holes by studying the incidence of active galactic nuclei (AGNs) in massive clusters of galaxies. A flexible, data-driven semi-empirical model is developed based on a minimal set of parameters and under the zero-order assumption that the incidence of AGNs in galaxies is independent of environment. This is used to predict how the fraction of X-ray selected AGN among galaxies in massive dark matter haloes (⁠≳3×1014M⊙⁠) evolves with redshift and reveal tensions with observations. At high redshift, z ∼ 1.2, the model underpredicts AGN fractions, particularly at high X-ray luminosities, LX(2−10keV)≳1044ergs−1⁠. At low redshift, z ∼ 0.2, the model estimates fractions of moderate luminosity AGN (⁠LX(2−10keV)≳1043ergs−1⁠) that are a factor of 2–3 higher than the observations. These findings reject the zero-order assumption on which the semi-empirical model hinges and point to a strong and redshift-dependent influence of the small-scale environment on the growth of black holes. Cluster of galaxies appear to promote AGN activity relative to the model expectation at z ∼ 1.2 and suppress it close to the present day. These trends could be explained by the increasing gas content of galaxies towards higher redshift combined with an efficient triggering of AGNs at earlier times in galaxies that fall on to clusters.

Text
2211.00032v1 - Author's Original
Available under License Creative Commons Attribution.
Download (1MB)
UNSPECIFIED
stac3114 - Version of Record
Available under License Creative Commons Attribution.
Download (0B)

More information

Accepted/In Press date: 25 October 2022
Published date: 28 October 2022
Additional Information: Accepted in Monthly Notices of the Royal Astronomical Society
Keywords: astro-ph.GA, astro-ph.HE

Identifiers

Local EPrints ID: 472612
URI: http://eprints.soton.ac.uk/id/eprint/472612
ISSN: 1365-2966
PURE UUID: 71017f27-d74f-4b06-a25c-7ce07dc4a1b9

Catalogue record

Date deposited: 12 Dec 2022 17:37
Last modified: 09 Apr 2024 21:49

Export record

Altmetrics

Contributors

Author: Antonis Georgakakis
Author: Viola Allevato
Author: Silvia Bonoli
Author: Marcella Brusa
Author: Andrea Lapi
Author: Akke Viitanen

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×