Cosmological Constraints from Galaxy Clusters and Groups in the eROSITA Final Equatorial Depth Survey
I-Non Chiu, Matthias Klein, Joseph Mohr, Sebastian Bocquet

TL;DR
This study uses data from the eROSITA Final Equatorial Depth Survey to derive cosmological constraints by analyzing galaxy clusters through X-ray and optical observations, employing empirical models for scaling relations and selection functions.
Contribution
It presents the first fully self-consistent cosmological analysis combining wide-field X-ray and weak lensing data with empirical modeling of cluster observables and selection effects.
Findings
Constraints on m and from cluster data
Agreement with Planck, DES, and SPT-SZ results within level
First to use empirical models for a joint X-ray and weak lensing cosmological analysis.
Abstract
We present the first cosmological study of a sample of clusters, which were identified in the Final Equatorial Depth Survey (eFEDS). In a joint selection on X-ray and optical observables, the sample contains clusters within a redshift range of , of which systems are covered by the public data from the Hyper Suprime-Cam (HSC) survey that enables uniform weak-lensing cluster mass constraints. With minimal assumptions, at each cluster redshift we empirically model (1) the scaling relations between the cluster halo mass and the observables, which include the X-ray count rate, the optical richness, and the weak-lensing mass, and (2) the X-ray selection in terms of the completeness function . Using the richness distribution of the clusters, we directly measure the X-ray completeness and adopt those measurements as informative priors…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Scientific Research and Discoveries
