Clustering of CODEX clusters
Valtteri Lindholm, Alexis Finoguenov, Johan Comparat, Charles C., Kirkpatrick, Eli Rykoff, Nicolas Clerc, Chris Collins, Sanna Damsted, Jacob, Ider Chitham, Nelson Padilla

TL;DR
This study analyzes the clustering of galaxy clusters from the CODEX sample, developing methods to account for selection effects, and constrains cosmological parameters by comparing observations with simulations.
Contribution
It introduces robust methods for accounting for sample selection effects in galaxy cluster clustering analysis and applies them to derive cosmological constraints.
Findings
Measured correlation length r_0=18.7 ± 1.1 Mpc/h
Derived cosmological parameters: Ω_m0=0.22+0.04−0.03, S_8=0.85+0.10−0.08
Combined clustering with luminosity function constraints for improved estimates
Abstract
Aims. We analyze the autocorrelation function of a large contiguous sample of galaxy clusters, the Constrain Dark Energy with X-ray (CODEX) sample, in which we take particular care of cluster definition. These clusters were X-ray selected using the RASS survey and then identified as galaxy clusters using the code redMaPPer run on the photometry of the SDSS. We develop methods for precisely accounting for the sample selection effects on the clustering and demonstrate their robustness using numerical simulations. Methods. Using the clean CODEX sample, which was obtained by applying a redshift-dependent richness selection, we computed the two-point autocorrelation function of galaxy clusters in the and redshift bins. We compared the bias in the measured correlation function with values obtained in numerical simulations using a similar cluster mass range. Results. By…
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