An Accurate Cluster Selection Function for the J-PAS Narrow-Band wide-field survey
Bego\~na Ascaso, Narciso Ben\'itez, Renato Dupke, Eduardo Cypriano,, Gastao Lima-Neto, Carlos L\'opez-Sanjuan, Jes\'us Varela, Jailson S. Alcaniz,, Tom Broadhurst, Javier Cenarro, N. Chandrachani Devi, Luis A., D\'iaz-Garc\'ia, Cristina A. C. Fernandes

TL;DR
J-PAS will be the first wide-field survey with high redshift resolution to detect galaxy clusters with high completeness and purity, providing a large, accurately calibrated cluster sample up to redshift 0.8.
Contribution
This paper introduces a new cluster selection function for J-PAS, demonstrating its effectiveness in detecting galaxy clusters with high completeness and purity using realistic mock catalogues.
Findings
Minimum halo mass for >80% completeness and purity is ~5×10^13 M_sun up to z~0.7.
The M*_CL-halo mass relation shows no redshift evolution with a scatter of ~0.14 dex.
J-PAS can detect clusters up to z~0.85 with mass calibration accuracy comparable to X-ray data.
Abstract
The impending Javalambre Physics of the accelerating universe Astrophysical Survey (J-PAS) will be the first wide-field survey of 8500 deg to reach the `stage IV' category. Because of the redshift resolution afforded by 54 narrow-band filters, J-PAS is particularly suitable for cluster detection in the range z1. The photometric redshift dispersion is estimated to be only with few outliers 4\% for galaxies brighter than AB, because of the sensitivity of narrow band imaging to absorption and emission lines. Here we evaluate the cluster selection function for J-PAS using N-body+semi-analytical realistic mock catalogues. We optimally detect clusters from this simulation with the Bayesian Cluster Finder, and we assess the completeness and purity of cluster detection against the mock data. The minimum halo mass threshold we find for…
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