Precise Clustering and Density Evolution of redMaPPer Galaxy Clusters versus MXXL Simulation
Pablo Jimeno, Tom Broadhurst, Ruth Lazkoz, Raul Angulo, Jose-Maria, Diego, Keiichi Umetsu, Ming-chung Chu

TL;DR
This study uses a large, spectroscopically complete sample of galaxy clusters from SDSS and redMaPPer to analyze clustering and density evolution, comparing results with MXXL simulations and cosmological models.
Contribution
It provides a precise measurement of the cluster correlation function and establishes a detailed mass-richness relation, highlighting a 20% discrepancy with MXXL predictions at certain richness levels.
Findings
Cluster abundance declines by 20% from z=0.1 to 0.3.
Correlation function amplitude exceeds MXXL predictions by 20%.
Full consistency achieved with specific cosmological parameters.
Abstract
We construct a large, redshift complete sample of distant galaxy clusters by correlating Sloan Digital Sky Survey (SDSS) Data Release 12 (DR12) redshifts with clusters identified with the red-sequence Matched-filter Probabilistic Percolation (redMaPPer) algorithm. Our spectroscopic completeness is 97% for ~ 7,000 clusters within the redMaPPer selection limit, 0.325, so that our cluster correlation functions are much more precise than earlier work and not suppressed by photometric redshifts. We derive an accurate power-law mass-richness relation from the observed abundance with respect to the mass function from Millennium XXL (MXXL) simulation, adjusted to the Planck weighted cosmology. The number density of clusters is found to decline by 20% over the range 0.1 0.3, in good agreement with the evolution predicted by MXXL. Our projected three-dimensional correlation…
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