TL;DR
This paper develops simple analytic models using symbolic regression to quantify baryonic effects on the matter power spectrum, aiding cosmological analyses by providing interpretable and accurate approximations across different feedback models.
Contribution
It introduces novel symbolic regression-based analytic approximations for baryonic impacts on the matter power spectrum, covering multiple simulation models and providing uncertainty estimates.
Findings
Achieves better than 1% RMS error in approximations
Models are valid across scales, redshifts, and cosmologies
Provides publicly available code for practical use
Abstract
Baryonic physics has a considerable impact on the distribution of matter in our Universe on scales probed by current and future cosmological surveys, acting as a key systematic in such analyses. We seek simple symbolic parametrisations for the impact of baryonic physics on the matter power spectrum for a range of physically motivated models, as a function of wavenumber, redshift, cosmology, and parameters controlling the baryonic feedback. We use symbolic regression to construct analytic approximations for the ratio of the matter power spectrum in the presence of baryons to that without such effects. We obtain separate functions of each of four distinct sub-grid prescriptions of baryonic physics from the CAMELS suite of hydrodynamical simulations (Astrid, IllustrisTNG, SIMBA and Swift-EAGLE) as well as for a baryonification algorithm. We also provide functions which describe the…
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