Fumagalli, A;
Saro, A;
Borgani, S;
Castro, T;
Costanzi, M;
Monaco, P;
Munari, E;
... Viel, M; + view all
(2024)
Euclid preparation
XXXV. Covariance model validation for the two-point correlation function of galaxy clusters.
Astronomy & Astrophysics (A&A)
, 683
, Article A253. 10.1051/0004-6361/202245540.
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Abstract
Aims. We validate a semi-analytical model for the covariance of the real-space two-point correlation function of galaxy clusters. // Methods. Using 1000 PINOCCHIO light cones mimicking the expected Euclid sample of galaxy clusters, we calibrated a simple model to accurately describe the clustering covariance. Then, we used this model to quantify the likelihood-analysis response to variations in the covariance, and we investigated the impact of a cosmology-dependent matrix at the level of statistics expected for the Euclid survey of galaxy clusters. // Results. We find that a Gaussian model with Poissonian shot-noise does not correctly predict the covariance of the two-point correlation function of galaxy clusters. By introducing a few additional parameters fitted from simulations, the proposed model reproduces the numerical covariance with an accuracy of 10%, with differences of about 5% on the figure of merit of the cosmological parameters Ωm and σ8. We also find that the covariance contains additional valuable information that is not present in the mean value, and the constraining power of cluster clustering can improve significantly when its cosmology dependence is accounted for. Finally, we find that the cosmological figure of merit can be further improved when mass binning is taken into account. Our results have significant implications for the derivation of cosmological constraints from the two-point clustering statistics of the Euclid survey of galaxy clusters.
| Type: | Article |
|---|---|
| Title: | Euclid preparation XXXV. Covariance model validation for the two-point correlation function of galaxy clusters |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1051/0004-6361/202245540 |
| Publisher version: | https://doi.org/10.1051/0004-6361/202245540 |
| Language: | English |
| Additional information: | Copyright © The Authors 2024. 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. This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication. |
| Keywords: | Methods: statistical / galaxies: clusters: general / cosmological parameters / large-scale structure of Universe |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Space and Climate Physics |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10201359 |
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