MACER3D — an upgrade of MACER2D with enhanced subgrid models and gas physics — and its application to simulating AGN feedback in a massive elliptical galaxy

Kavli Affiliate: Feng Yuan

| First 5 Authors: Haoen Zhang, Haojie Xia, Suoqing Ji, Feng Yuan, Minhang Guo

| Summary:

We present MACER3D (Multiscale AGN-regulated Cosmic Ecosystem Resolver in
3D), a new suite of three-dimensional hydrodynamic simulations that study
active galactic nuclei (AGN) feedback on galactic scales over Gyr duration,
with major enhancement in subgrid models and gas physics over its predecessor
— MACER (Massive AGN Controlled Ellipticals Resolved) which is in two
dimensions (hereafter MACER2D). MACER3D resolves gas dynamics from within the
Bondi radius ($sim 25,mathrm{pc}$) to halo scales. Combined with black hole
accretion theory, it enables an accurate calculation of AGN outputs and
subsequently their large-scale feedback effects. We present results from
simulating an isolated elliptical galaxy with different feedback
configurations. In the fiducial model with both AGN and supernova (SN)
feedback, the temporal evolution of AGN luminosity and star formation rate are
strongly correlated, suggesting shared dependence on the availability of gas
supply for SMBH accretion and star formation. AGN duty cycles of several
percent with a single-cycle timescale of $sim 10^2,mathrm{Myr}$ agree with
observations, while models with only AGN or SN feedback fail to reproduce
observed cycles. While all models maintain a quiescent galaxy state, fiducial
AGN+SN feedback model results in higher star formation than no-SN feedback,
suggesting SN feedback, when acting synergistically with AGN feedback, may
positively impact star formation. Combined AGN and SN feedback enhances
halo-scale metal enrichment compared to single-feedback models. The simulated
X-ray properties match observations and predict transient cavities produced by
cold-mode AGN winds from past burst events. The differences between the results
obtained by MACER2D and MACER3D are also discussed.

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