Mass bias and cosmological constraints from Planck cluster clustering
arXiv:2302.14074 · doi:10.1051/0004-6361/202346261
Abstract
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 cold dark matter (CDM) cosmological model, deriving an estimate of the Planck mass bias, , and cosmological parameters. We measured the 2PCF of the sample in the cluster-centric radial range Mpc, considering 920 galaxy clusters with redshift . A Markov chain Monte Carlo analysis has been performed to constrain , assuming priors on cosmological parameters from Planck Cosmic Microwave Background (CMB) results. We also adopted priors on from external data sets to constrain the cosmological parameters and . We obtained , which is in agreement with the value required to reconcile primary CMB and cluster count observations. By adopting priors on from external data sets, we derived results on 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 is not constrained.
arXiv comment8 pages, 4 figures. Submitted to A&A
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