Star Formation Quenching in Quasar Host Galaxies

Carniani, Stefano

doi:10.3389/fspas.2017.00024

Cited by 1 publication

(1 citation statement)

References 28 publications

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“…The fact that both AGN in long activity phases and those outside of them can launch outflows can explain, at least partly, the conundrum that negative AGN feedback is not generally observed on galactic scales (e.g., Carniani 2017;Bae et al 2017;Jarvis et al 2020;Scholtz et al 2020Scholtz et al , 2021. Numerical simulations, however, clearly show that AGN feedback suppresses star formation, at least on cosmological timescales, in massive galaxies (Bower et al 2006;Croton et al 2006;Sĳacki et al 2007;Vogelsberger et al 2014;Schaye et al 2015;Tremmel et al 2019;Davé et al 2019).…”

Section: Galaxy Activity Historiesmentioning

confidence: 99%

Determining active galactic nucleus luminosity histories using present-day outflow properties: a neural network-based approach

Zubovas

Bialopetravičius

Monika

2022

Monthly Notices of the Royal Astronomical Society

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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 on the observable properties of their massive outflows. Our model recovers the AGN parameters of simulated outflows with typical errors $< 25{{\ \rm per\ cent}}$. We apply the method to a sample of 59 real molecular outflows and show that a large fraction of them have been inflated by AGN shining with a rather high duty cycle δAGN > 0.2. This result suggests that nuclear activity in galaxies is clustered hierarchically in time, with long phases of more frequent activity composed of many short activity episodes. We predict that $\sim \! 19{{\ \rm per\ cent}}$ of galaxies should have AGN-driven outflows, but half of them are fossils - this is consistent with currently available data. We discuss the possibilities to investigate AGN luminosity histories during outflow lifetimes and suggest ways to use our software to test other physical models of AGN outflows. The source code of all of the software used here is made public.

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