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

Clicks: 1
ID: 315417
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #631 of 900 articles by views in monthly notices of the royal astronomical society

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 900 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
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 SDSS/DESI+ACT kinetic Sunyaev–Zel’dovich (kSZ) effect profiles; the samples are characterised with galaxy-galaxy lensing and together span group and cluster masses ($13 < \log _{10} \frac{M_{500}}{\mathrm{M}_\odot ~h^{-1}} < 14$) at 0 < z < 1. Using the baryonification framework, our joint eROSITA and kSZ model gives precise constraints on the suppression of the matter power spectrum: $10\pm 2~{{\ \rm per\ cent}}$ at k = 1 h Mpc−1. 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: $5\pm 4~{{\ \rm per\ cent}}$ at k = 1 h Mpc−1. With a simulated LSST Year 1 weak lensing analysis, we demonstrate a framework for next-generation surveys: calibrating feedback models with multi-wavelength gas observables to recover the small-scale statistical power of cosmic shear.
Reference Key
openalex_W4417010760 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jared Siegel, Leah Bigwood, A. Amon, J. McCullough, M. Yamamoto, Ian G. McCarthy, Matthieu Schaller, Aurel Schneider, Joop Schaye
Journal monthly notices of the royal astronomical society
Year 2026
DOI
10.1093/mnras/stag993
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.