X-rays across the galaxy population - II. The distribution of AGN accretion rates as a function of stellar mass and redshift
arXiv:1705.01132 · doi:10.1093/mnras/stx2700
Abstract
We use deep Chandra X-ray imaging to measure the distribution of specific black hole accretion rates ( relative to the stellar mass of the galaxy) and thus trace AGN activity within star-forming and quiescent galaxies, as a function of stellar mass (from ) and redshift (to ). We adopt near-infrared selected samples of galaxies from the CANDELS and UltraVISTA surveys, extract X-ray data for every galaxy, and use a flexible Bayesian method to combine these data and to measure the probability distribution function of specific black hole accretion rates, . We identify a broad distribution of in both star-forming and quiescent galaxies---likely reflecting the stochastic nature of AGN fuelling---with a roughly power-law shape that rises toward lower , a steep cutoff at (in Eddington equivalent units), and a turnover or flattening at . We find that the probability of a star-forming galaxy hosting a moderate AGN depends on stellar mass and evolves with redshift, shifting toward higher at higher redshifts. This evolution is truncated at a point corresponding to the Eddington limit, indicating black holes may self-regulate their growth at high redshifts when copious gas is available. The probability of a quiescent galaxy hosting an AGN is generally lower than that of a star-forming galaxy, shows signs of suppression at the highest stellar masses, and evolves strongly with redshift. The AGN duty cycle in high-redshift () quiescent galaxies thus reaches 20 per cent, comparable to the duty cycle in star-forming galaxies of equivalent stellar mass and redshift.
20 pages + 3 appendices (27 pages total) with 15 figures. The sketch shown in Figure 9 summarizes our findings. Data tables available at http://doi.org/10.5281/zenodo.1009605 . Updated FAST SED fitting code available at https://github.com/jamesaird/FAST . This is a pre-copyedited, author-produced version of an article accepted for publication in MNRAS following peer review
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