Issue |
A&A
Volume 675, July 2023
|
|
---|---|---|
Article Number | A149 | |
Number of page(s) | 20 | |
Section | Cosmology (including clusters of galaxies) | |
DOI | https://doi.org/10.1051/0004-6361/202245420 | |
Published online | 14 July 2023 |
Cosmic census: Relative distributions of dark matter, galaxies, and diffuse gas
Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France
e-mail: raphael.kou@apc.in2p3.fr
Received:
9
November
2022
Accepted:
26
April
2023
Galaxies, diffuse gas, and dark matter make up the cosmic web that defines the large-scale structure of the Universe. We constrained the joint distribution of these constituents by cross-correlating galaxy samples binned by stellar mass from the Sloan Digital Sky Survey CMASS catalog with maps of lensing convergence and the thermal Sunyaev-Zeldovich (tSZ) effect from the Planck mission. Fitting a halo-based model to our measured angular power spectra (galaxy-galaxy, galaxy-lensing convergence, and galaxy-tSZ) at a median redshift of z = 0.53, we detected variation with stellar mass of the galaxy satellite fraction and galaxy spatial distribution within host halos. We find a tSZ-halo hydrostatic mass bias, bh, such that (1 − bh) = 0.6 ± 0.05, with a hint of a larger bias, bh, at the high stellar mass end. The normalization of the galaxy-cosmic microwave background lensing convergence cross-power spectrum shows that galaxies trace the matter distribution without an indication of stochasticity (A = 0.98 ± 0.09). We forecast that next-generation cosmic microwave background experiments will improve the constraints on the hydrostatic bias by a factor of two and will be able to constrain the small-scale distribution of dark matter, hence informing the theory of feedback processes.
Key words: gravitational lensing: weak / cosmic background radiation / dark matter / large-scale structure of Universe
© The Authors 2023
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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