https://doi.org/10.1051/epjconf/202225700004
Galaxy cluster number counts with individual lensing mass estimates: Forecasts for Euclid
1 Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, avenue des Martyrs, 38000 Grenoble, France
2 IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
3 Université de Paris, CNRS, Astroparticule et Cosmologie, F-75006 Paris, France
4 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
* e-mail: emmanuel.artis@lpsc.in2p3.fr
Published online: 17 January 2022
The ΛCDM model is gradually becoming challenged by observational data. Upcoming cosmological surveys will increase the number of detected galaxy clusters by several orders of magnitude. Therefore, clusters will shortly provide precise cosmological constraints and improve our understanding of structure formation in the Universe. In the following, we present a cluster likelihood based on individual weak lensing mass estimates and forecast Euclid’s performances within this framework. We use a matched filter for weak lensing mass estimation and model its characteristics with a set of simulations. We use the Flagship N-body simulation to emulate the expected cluster mass distribution of a Euclid-like sample and test our statistical framework against it. Finally, we simultaneously constrain the observable-mass relation and the cosmological parameters.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
