Self-similarity of the mass distribution in rich galaxy clusters up to <i>z</i>∼1 tracked with weak lensing
In the standard theory of growth of nonbaryonic dark matter, cosmic structures form hierarchically and self-similarly from smaller clumps. The assembly merger tree extends from the linear perturbations in the early Universe to highly non-linear structures at late times. Gravity is the driving force, and self-similarity should inform cosmic haloes. However, it is unclear whether the apparent anomalies at non-linear scales are due to baryonic or new physics. I show that the mass distribution of rich haloes evolved self-similarly at least since the Universe was 5.7 Gyr old. Using gravitational weak lensing, I constrained the mass profiles of galaxy clusters with M 200c ≳ 2 × 10 14 M ⊙ that were optically detected in the HSC-SSP survey in the redshift range 0.2 ≤ z < 1.0. The cluster self-similarity confirms the standard theory of growth in the non-linear regime. Clusters are still growing, but neither violent mergers nor matter slowly falling in from the cosmic web disrupt the self-similarity, which is in place well before the halo formation time. Dark matter growth can fit the fossil cosmic microwave background as well as young, very massive haloes. Next-generation survey searches at scales in clusters in which self-similarity breaks might pose a new challenge to dark matter.
Authors
- M. Sereno
Publication Details
- Journal
- Astronomy and Astrophysics
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1051/0004-6361/202553989
- Primary Topic
- Galaxies: Formation, Evolution, Phenomena
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Aeronautics and Space Administration
- Princeton University
- California Institute of Technology
- Ministry of Education, Culture, Sports, Science and Technology
- Academia Sinica
- Cabinet Office, Government of Japan
- National Astronomical Observatory of Japan
- High Energy Accelerator Research Organization
- Toray Science Foundation
- Jet Propulsion Laboratory
- Institut sur la Nutrition et les Aliments Fonctionnels
- Japan Society for the Promotion of Science
- Japan Science and Technology Agency