AGN feedback in merging galaxies with a SMUGGLE multiphase ISM
Aneesh Sivasankaran, Laura Blecha, Paul Torrey, Luke Zoltan Kelley, Aklant Bhowmick, Mark Vogelsberger, Lars Hernquist, Federico Marinacci, Laura V. Sales

TL;DR
This study uses high-resolution simulations to explore how AGN feedback influences merging galaxies with a detailed multiphase ISM, revealing galaxy-type dependent effects on gas dynamics, star formation, and black hole behavior.
Contribution
It introduces a novel simulation approach combining SMUGGLE and super-Lagrangian refinement to model AGN feedback in merging galaxies with detailed ISM physics.
Findings
AGN feedback strongly impacts Milky Way-like mergers, entraining more gas.
In Sbc galaxies, AGN feedback effects are delayed until post-merger star formation declines.
Low-mass black holes in SMC-like galaxies wander far from galactic centers, affecting growth and feedback.
Abstract
We study fast nuclear winds driven by Active Galactic Nucleus (AGN) feedback in merging galaxies using high-resolution hydrodynamics simulations. We use Stars and MUltiphase Gas in GaLaxiEs (SMUGGLE) to explicitly model the multiphase interstellar medium (ISM) and employ sub-grid dynamical friction for massive black holes (BHs). Furthermore, we use a super-Lagrangian refinement scheme to resolve AGN feedback coupling to the ISM at pc scales. By comparison between merging and isolated galaxies, with and without AGN feedback, we identify trends in the complex interplay between dynamics, BH fueling and feedback, and star formation and feedback. We consider three galaxy types: Milky Way analogs, Sbc-type galaxies, and Small Magellanic Cloud (SMC) analogs. The synergy between AGN feedback and merger dynamics is strongest in the Milky Way-like mergers, where the AGN winds are…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Gamma-ray bursts and supernovae · Pulsars and Gravitational Waves Research
