Probing the Circum-Galactic Medium with Fast Radio Bursts: Insights from the CAMELS Simulations
arxiv(2024)
摘要
Most diffuse baryons, including the circumgalactic medium (CGM) surrounding
galaxies and the intergalactic medium (IGM) in the cosmic web, remain
unmeasured and unconstrained. Fast Radio Bursts (FRBs) offer an unparalleled
method to measure the electron dispersion measures (DMs) of ionized baryons.
Their distribution can resolve the missing baryon problem, and constrain the
history of feedback theorized to impart significant energy to the CGM and IGM.
We analyze the Cosmology and Astrophysics in Machine Learning (CAMEL)
Simulations, using three suites: IllustrisTNG, SIMBA, and Astrid, each varying
6 parameters (2 cosmological 4 astrophysical feedback), for a total of 183
distinct simulation models. We find significantly different predictions between
the fiducial models of the suites, owing to their different implementations of
feedback. SIMBA exhibits the strongest feedback, leading to the smoothest
distribution of baryons, reducing the sightline-to-sightline variance in DMs
between z=0-1. Astrid has the weakest feedback and the largest variance. We
calculate FRB CGM measurements as a function of galaxy impact parameter, with
SIMBA showing the weakest DMs due to aggressive AGN feedback and Astrid the
strongest. Within each suite, the largest differences are due to varying AGN
feedback. IllustrisTNG shows the most sensitivity to supernova feedback, but
this is due to the change in the AGN feedback strengths, demonstrating that
black holes, not stars, are most capable of redistributing baryons in the IGM
and CGM. We compare our statistics directly to recent observations, paving the
way for the use of FRBs to constrain the physics of galaxy formation and
evolution.
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