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The suppression of the matter power spectrum: strong feedback from X-ray gas mass fractions, kSZ effect profiles, and galaxy–galaxy lensing

  • Jared Siegel
  • , Leah Bigwood
  • , Alexandra Amon
  • , Jamie McCullough
  • , Masaya Yamamoto
  • , Ian G. McCarthy
  • , Matthieu Schaller
  • , Joop Schaye
  • , Aurel Schneider

Research output: Contribution to journalArticlepeer-review

Abstract

Baryon feedback redistributes gas relative to the underlying dark matter distribution and suppresses the matter power spectrum on small scales, but the amplitude and scale dependence of this effect are uncertain. We constrain the impact of baryon feedback on the matter power spectrum by jointly analysing X-ray gas mass fractions from the eROSITA and HSC–XXL samples and Sloan Digital Sky Survey (SDSS)/Dark Energy Spectroscopic Instrument (DESI) + Atacama Cosmology Telescope (ACT) kinetic Sunyaev–Zel’dovich (kSZ) effect profiles; the samples are characterized with galaxy–galaxy lensing and together span group and cluster masses ((Formula presented) ) at (Formula presented). Using the baryonification framework, our joint eROSITA and kSZ model gives precise constraints on the suppression of the matter power spectrum: (Formula presented) at (Formula presented). The inferred gas profiles are more extended and the power suppression is stronger than predicted by the fiducial models of recent hydrodynamical simulation suites, including FLAMINGO and BAHAMAS. The HSC–XXL gas mass fractions, which the fiducial simulations were calibrated to reproduce, prefer more moderate power suppression than the kSZ and eROSITA data: (Formula presented) at (Formula presented). With a simulated LSST Year 1 weak lensing analysis, we demonstrate a framework for next-generation surveys: calibrating feedback models with multiwavelength gas observables to recover the small-scale statistical power of cosmic shear.

Original languageEnglish (US)
Article numberstag993
JournalMonthly Notices of the Royal Astronomical Society
Volume549
Issue number4
DOIs
StatePublished - Jul 2026

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Keywords

  • cosmology: theory
  • galaxies: formation
  • large-scale structure of Universe
  • methods: numerical

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