Semi-analytic modelling of AGNs: auto-correlation function and halo occupation
Taira Oogi (1, 7), Hikari Shirakata (2, 3), Masahiro Nagashima (4),, Takahiro Nishimichi (1, 5), Toshihiro Kawaguchi (6), Takashi Okamoto (2),, Tomoaki Ishiyama (7), Motohiro Enoki (8) ((1) Kavli IPMU, (2) Hokkaido, University, (3) Tadano Ltd., (4) Bunkyo University, (5) YITP

TL;DR
This paper uses a semi-analytic model on a large cosmological simulation to study AGN clustering, revealing how accretion time-scales influence host halo mass and bias, aligning well with observations and providing new constraints on AGN activity mechanisms.
Contribution
Introduces a new gas accretion time-scale in a semi-analytic model, improving agreement with observed AGN clustering and luminosity functions, and constraining AGN triggering mechanisms.
Findings
Model matches observed AGN clustering in X-ray luminosity range.
Accretion time-scale affects host halo mass and bias.
Predicted correlation function shape agrees with observations.
Abstract
The spatial clustering of active galactic nuclei (AGNs) is considered to be one of the important diagnostics for the understanding of the underlying processes behind their activities complementary to measurements of the luminosity function (LF). We analyse the AGN clustering from a recent semi-analytic model performed on a large cosmological -body simulation covering a cubic gigaparsec comoving volume. We have introduced a new time-scale of gas accretion on to the supermassive black holes to account for the loss of the angular momentum on small scales, which is required to match the faint end of the observed X-ray LF. The large simulation box allows us accurate determination of the auto-correlation function of the AGNs. The model prediction indicates that this time-scale plays a significant role in allowing massive haloes to host relatively faint population of AGNs, leading to a…
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