Issue |
EPJ Web Conf.
Volume 257, 2022
mm Universe @ NIKA2 - Observing the mm Universe with the NIKA2 camera
|
|
---|---|---|
Article Number | 00022 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/epjconf/202225700022 | |
Published online | 17 January 2022 |
https://doi.org/10.1051/epjconf/202225700022
The Three Hundred project: Contrasting clusters galaxy density in hydrodynamical and dark matter only simulations
1 Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, avenue des Martyrs, 38000 Grenoble, France
2 Departamento de Física Teórica and CIAFF, Módulo 8, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049 Madrid, Spain
3 Dipartimento di Fisica, Sapienza Universitá di Roma, Piazzale Aldo Moro, 500185 Roma, Italy
4 Institute for Astronomy, University of Edinburgh, Edinburgh, UK
* e-mail: macias@lpsc.in2p3.fr
Published online: 17 January 2022
Cluster number count is a major cosmological probe for the next generation of cosmological large scale-structure surveys like the one expected from the Euclid satellite mission. Cosmological constraints will be mainly limited by the understanding of the selection function (SF), which characterize the probability of detecting a cluster of a given mass and redshift. The SF can be estimated by injecting realistic simulated clusters into the survey and re-applying the detection procedure. For this purpose we intend to use The Three Hundreds project, a 324 cluster sample simulated with full-physics hydrodynamical re-simulations. In this paper we concentrate on the study of the distribution of member galaxies in the cluster sample. First, we study possible resolution effects by comparing low and high resolution simulations. Finally, accounting for the latter we derive the density profiles of the member galaxies and discuss their evolution with cluster mass and redshift.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.