Evidence for a mass-dependent AGN Eddington ratio distribution via the flat relationship between SFR and AGN luminosity
Artikel i vetenskaplig tidskrift, 2018

The lack of a strong correlation between AGN X-ray luminosity (L-X; a proxy for AGN power) and the star formation rate (SFR) of their host galaxies has recently been attributed to stochastic AGN variability. Studies using population synthesis models have incorporated this by assuming a broad, universal (i.e. does not depend on the host galaxy properties) probability distribution for AGN specific X-ray luminosities (i.e. the ratio of L-X to host stellar mass; a common proxy for Eddington ratio). However, recent studies have demonstrated that this universal Eddington ratio distribution fails to reproduce the observed X-ray luminosity functions beyond z similar to 1.2. Furthermore, empirical studies have recently shown that the Eddington ratio distribution may instead depend upon host galaxy properties, such as SFR and/or stellar mass. To investigate this further, we develop a population synthesis model in which the Eddington ratio distribution is different for star-forming and quiescent host galaxies. We show that, although this model is able to reproduce the observed X-ray luminosity functions out to z similar to 2, it fails to simultaneously reproduce the observed flat relationship between SFR and X-ray luminosity. We can solve this, however, by incorporating a mass dependency in the AGN Eddington ratio distribution for star-forming host galaxies. Overall, our models indicate that a relative suppression of low Eddington ratios (lambda(Edd) less than or similar to 0.1) in lower mass galaxies (M-* less than or similar to 10(10-11)M(circle dot)) is required to reproduce both the observed X-ray luminosity functions and the observed flat SFR/X-ray relationship.

galaxies: evolution

galaxies: statistics

galaxies: active

galaxies: luminosity function, mass function

Författare

E. Bernhard

University of Sheffield

J. R. Mullaney

University of Sheffield

J. Aird

University Of Leicester

University of Cambridge

R. C. Hickox

Dartmouth College

M. L. Jones

Dartmouth College

Flora Stanley

Chalmers, Rymd-, geo- och miljövetenskap, Astronomi och plasmafysik, Extragalaktisk astrofysik

L. P. Grimmett

University of Sheffield

E. Daddi

Université Paris Diderot

Monthly Notices of the Royal Astronomical Society

0035-8711 (ISSN) 1365-2966 (eISSN)

Vol. 476 1 436-450

Ämneskategorier

Astronomi, astrofysik och kosmologi

Bioinformatik (beräkningsbiologi)

Sannolikhetsteori och statistik

DOI

10.1093/mnras/sty219