Combination of cluster number counts and two-point correlations: Validation on Mock Dark Energy Survey

Understand

We present a method of combining cluster abundances and large-scale two-point correlations, namely galaxy clustering, galaxy--cluster cross-correlations, cluster auto-correlations, and cluster lensing.

• This data vector yields comparable cosmological constraints to traditional analyses that rely on small-scale cluster lensing for mass calibration.
• We use cosmological survey simulations designed to resemble the Dark Energy Survey Year One (DES-Y1) data to validate the analytical covariance matrix and the parameter inferences.
• The posterior distribution from the analysis of simulations is statistically consistent with the absence of systematic biases detectable at the precision of the DES Y1 experiment.