Abstract / Description of output
Although galactic winds play a critical role in regulating galaxy
formation, hydrodynamic cosmological simulations do not resolve the
scales that govern the interaction between winds and the ambient
circumgalactic medium (CGM). We implement the Physically Evolved Wind
(PhEW) model of Huang et al. in the gizmo
hydrodynamics code and perform test cosmological simulations with
different choices of model parameters and numerical resolution. PhEW
adopts an explicit subgrid model that treats each wind particle as a
collection of clouds that exchange mass and metals with their
surroundings and evaporate by conduction and hydrodynamic instabilities
as calibrated on much higher resolution cloud scale simulations. In
contrast to a conventional wind algorithm, we find that PhEW results are
robust to numerical resolution and implementation details because the
small scale interactions are defined by the model itself. Compared to
our previous wind simulations with the same resolution, our PhEW
simulations are in better agreement with low-redshift galactic stellar
mass functions at M* < 1011M⊙
because PhEW particles shed mass to the CGM before escaping low mass
haloes. PhEW radically alters the CGM metal distribution because PhEW
particles disperse metals to the ambient medium as their clouds
dissipate, producing a CGM metallicity distribution that is skewed but
unimodal and is similar between cold and hot gas. While the temperature
distributions and radial profiles of gaseous haloes are similar in
simulations with PhEW and conventional winds, these changes in metal
distribution will affect their predicted UV/X-ray properties in
absorption and emission.
Original language | English |
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Pages (from-to) | 6091-6110 |
Number of pages | 20 |
Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 509 |
Issue number | 4 |
Early online date | 25 Nov 2021 |
DOIs | |
Publication status | Published - 1 Feb 2022 |
Keywords / Materials (for Non-textual outputs)
- galaxies: evolution
- hydrodynamics
- methods: numerical