Deep Extragalactic VIsible Legacy Survey (DEVILS): Identification of AGN through SED Fitting and the Evolution of the Bolometric AGN Luminosity Function
Jessica E. Thorne, Aaron S. G. Robotham, Luke J. M. Davies, Sabine, Bellstedt, Michael J. I. Brown, Scott M. Croom, Ivan Delvecchio, Brent, Groves, Matt J. Jarvis, Stanislav S. Shabala, Nick Seymour, Imogen H., Whittam, Matias Bravo, Robin H. W. Cook, Simon P. Driver

TL;DR
This study uses advanced SED fitting to identify AGN in large galaxy samples, accurately estimate their luminosities, and analyze the evolution of the AGN luminosity function from redshift 0 to 2, confirming theoretical models.
Contribution
Introduces a flexible SED fitting method with an AGN component to reliably identify and characterize AGN in large galaxy surveys, improving upon previous techniques.
Findings
ProSpect identifies AGN in 91% of pre-selected galaxies.
AGN luminosities from ProSpect agree with X-ray based measurements.
The AGN luminosity function evolution matches previous observations and models.
Abstract
Active galactic nuclei (AGN) are typically identified through radio, mid-infrared, or X-ray emission or through the presence of broad and/or narrow emission lines. AGN can also leave an imprint on a galaxy's spectral energy distribution (SED) through the re-processing of photons by the dusty torus. Using the SED fitting code ProSpect with an incorporated AGN component, we fit the far ultraviolet to far-infrared SEDs of 494,00 galaxies in the D10-COSMOS field and 230,000 galaxies from the GAMA survey. By combining an AGN component with a flexible star formation and metallicity implementation, we obtain estimates for the AGN luminosities, stellar masses, star formation histories, and metallicity histories for each of our galaxies. We find that ProSpect can identify AGN components in 91 per cent of galaxies pre-selected as containing AGN through narrow-emission line ratios and…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Astronomical Observations and Instrumentation
