Evolution of the real-space correlation function from next generation cluster surveys
Srivatsan Sridhar, Sophie Maurogordato, Christophe Benoist, Alberto, Cappi, Federico Marulli

TL;DR
This study assesses how accurately the real-space two-point correlation function of galaxy clusters can be recovered from photometric redshift data, analyzing the impact of redshift uncertainties on measuring evolution in clustering and bias.
Contribution
It introduces a method to recover the real-space correlation function from photometric redshift cluster catalogs and evaluates its accuracy across different redshift uncertainties.
Findings
Correlation amplitude increases with redshift and mass.
Bias evolution aligns with theoretical models.
Correlation function recovery is within 5-10% accuracy for certain redshift errors.
Abstract
We investigate to which accuracy it is possible to recover the real-space two-point correlation function of galaxy clusters from cluster catalogues based on photometric redshifts, and test our ability to measure the redshift and mass evolution of the correlation length and the bias parameter as a function of the redshift uncertainty. We calculate the correlation function for cluster sub-samples covering various mass and redshift bins selected from a light-cone catalogue. To simulate the distribution of clusters in photometric redshift space, we assign to each cluster a redshift randomly extracted from a Gaussian distribution. The dispersion is varied in the range to . The correlation function in real-space is computed through estimation and deprojection of . Four mass ranges (from to $M_{halo}> 2 \times…
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