A unified model for the co-evolution of galaxies and their circumgalactic medium: the relative roles of turbulence and atomic cooling physics
The circumgalactic medium (CGM) plays a pivotal role in regulating gas flows around galaxies and thus shapes their evolution. However, the details of how galaxies and their CGM co-evolve remain poorly understood. We present a new time-dependent two-zone model that self-consistently tracks not just m...
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Zusammenfassung: | The circumgalactic medium (CGM) plays a pivotal role in regulating gas flows
around galaxies and thus shapes their evolution. However, the details of how
galaxies and their CGM co-evolve remain poorly understood. We present a new
time-dependent two-zone model that self-consistently tracks not just mass and
metal flows between galaxies and their CGM but also the evolution of the global
thermal and turbulent kinetic energy of the CGM. Our model accounts for heating
and turbulence driven by both supernova winds and cosmic accretion as well as
radiative cooling, turbulence dissipation, and halo outflows due to CGM
overpressurization. We demonstrate that, depending on parameters, the CGM can
undergo a phase transition (``thermalization'') from a cool,
turbulence-supported phase to a virial-temperature, thermally-supported phase.
This CGM phase transition is largely determined by the ability of radiative
cooling to balance heating from supernova winds and turbulence dissipation. We
perform an initial calibration of our model to the FIRE-2 cosmological
hydrodynamical simulations and show that it can approximately reproduce the
baryon cycles of the simulated halos. In particular, we find that, for these
parameters, the phase transition occurs at high-redshift in ultrafaint
progenitors and at low redshift in classical $M_{\rm vir}\sim10^{11}M_{\odot}$
dwarfs, while Milky Way-mass halos undergo the transition at $z\approx0.5$. We
see a similar transition in the simulations though it is more gradual, likely
reflecting radial dependence and multi-phase gas not captured by our model. We
discuss these and other limitations of the model and possible future
extensions. |
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DOI: | 10.48550/arxiv.2211.09755 |