Baryonification IV: Constraining baryonic feedback with X-ray gas fractions
astro-ph.CO
Submitted: 2026-09-08
Updated: 2026-09-08
Comments: 32 pages, 14 figures
License: http://creativecommons.org/licenses/by/4.0/
The gist: Baryonic feedback redistributes gas around dark matter halos, suppressing the matter power spectrum at scales now probed by weak lensing surveys.
Terminology
Abstract
Baryonic feedback redistributes gas around dark matter halos, suppressing the matter power spectrum at scales now probed by weak lensing surveys. X-ray observations directly trace this hot gas, and are one of the main probes of its distribution and properties. We present a forward-modelling framework, built on the baryonification model, linking the three-dimensional gas density and temperature profiles of groups and clusters to observed X-ray surface brightness and luminosity profiles on one side, and to matter power spectrum suppression on the other. We validate the model against independent three-dimensional density reconstructions from the literature, and examine our temperature and metallicity treatment in the group-scale regime. Applying this framework to the SZ-selected CHEX-MATE and X-ray-selected eFEDs samples, we measure gas fractions across the group-to-cluster mass range while accounting for X-ray selection effects, with the first published gas fractions based on CHEX-MATE data. Combining both samples, we derive a joint constraint on the hot gas fraction retained by groups and clusters as a function of mass and on the baryonic suppression of the matter power spectrum. We find f gas = 0.029 plus or minus 0.006 at M 500c = 3 times 10 13M, f gas = 0.078 plus or minus 0.004 at M 500c = 3 times 10 14M, and suppression of 6% at k=1,h/ Mpc and 23% at k=5,h/ Mpc. Our findings are consistent with recent kinematic Sunyaev-Zel'dovich results, hinting at strong feedback. We also show that the L X - M relation is degenerate with feedback strength, and that different feedback scenarios produce distinct X-ray profile shapes that map onto the same L X - M point. This work is a first step toward extending the framework to forward-model diffuse X-ray emission at the map level for simulation-based inference in upcoming wide-area X-ray surveys such as eROSITA.
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