Aims. We analysed the 3D clustering of the Planck sample of Sunyaev-Zeldovich (SZ) selected galaxy clusters, focusing on the redshift-space two-point correlation function (2PCF). We compared our measurements to theoretical predictions of the standard Λ cold dark matter (ΛCDM) cosmological model, deriving an estimate of the Planck mass bias, b SZ , and cosmological parameters. Methods. We measured the 2PCF of the sample in the cluster-centric radial range r ∈ [10, 150] h −1 Mpc, considering 920 galaxy clusters with redshift z ≤ 0.8. A Markov chain Monte Carlo analysis has been performed to constrain b SZ , assuming priors on cosmological parameters from Planck Cosmic Microwave Background (CMB) results. We also adopted priors on b SZ from external data sets to constrain the cosmological parameters Ω m and σ 8 . Results. We obtained (1 − b SZ ) = 0.62 +0.14 −0.11 , which is in agreement with the value required to reconcile primary CMB and cluster count observations. By adopting priors on (1 − b SZ ) from external data sets, we derived results on Ω m that are fully in agreement and competitive, in terms of uncertainties, with those derived from cluster counts. This confirms the importance of including clustering in cosmological studies, in order to fully exploit the information from galaxy cluster statistics. On the other hand, we found that σ 8 is not constrained.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.