2022
DOI: 10.1093/mnras/stac1887
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Determining active galactic nucleus luminosity histories using present-day outflow properties: a neural network-based approach

Abstract: Large-scale outflows driven by active galactic nuclei (AGN) can have a profound influence on their host galaxies. The outflow properties themselves depend sensitively on the history of AGN energy injection during the lifetime of the outflow. Most observed outflows have dynamical timescales longer than the typical AGN episode duration, i.e. they have been inflated by multiple AGN episodes. Here, we present a neural-network based approach to inferring the most likely duty cycle and other properties of AGN based … Show more

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Cited by 10 publications
(1 citation statement)
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“…Assuming Eddington-limited accretion, the high central luminosities imply large black hole masses. Several local SB galaxies have black hole masses in the range MBH ∼ (10 8 − 10 9 )M (Zubovas et al 2022, and references therein), e.g. with IRAS 20100-4156 having an estimated mass of MBH ∼ 3.8 × 10 9 M (Harvey- Smith et al 2016).…”
Section: Agn Luminosity Evolution Historiesmentioning
confidence: 99%
“…Assuming Eddington-limited accretion, the high central luminosities imply large black hole masses. Several local SB galaxies have black hole masses in the range MBH ∼ (10 8 − 10 9 )M (Zubovas et al 2022, and references therein), e.g. with IRAS 20100-4156 having an estimated mass of MBH ∼ 3.8 × 10 9 M (Harvey- Smith et al 2016).…”
Section: Agn Luminosity Evolution Historiesmentioning
confidence: 99%