An optically-selected cluster catalog at redshift 0.1<z<1.1 from the Hyper Suprime-Cam Subaru Strategic Program S16A data

TL;DR

This paper presents a new optically-selected galaxy cluster catalog from the Hyper Suprime-Cam survey, demonstrating high accuracy in redshift estimation, good correlation with X-ray data, and high completeness and purity for massive clusters.

Contribution

The study introduces a large, high-redshift cluster catalog using the CAMIRA algorithm on HSC data, with validated photometric redshifts and comparison to X-ray surveys, advancing optical cluster detection methods.

Findings

High-quality cluster photometric redshifts with bias <0.005 and scatter <0.01.

Good correlation between optical richness and X-ray properties.

High completeness and purity (>90%) for massive clusters.

Abstract

We present an optically-selected cluster catalog from the Hyper Suprime-Cam (HSC) Subaru Strategic Program. The HSC images are sufficiently deep to detect cluster member galaxies down to $M_*\sim 10^{10.2}M_\odot$ even at $z\sim 1$, allowing a reliable cluster detection at such high redshifts. We apply the CAMIRA algorithm to the HSC Wide S16A dataset covering $\sim 232$ deg$^2$ to construct a catalog of 1921 clusters at redshift $0.1<z<1.1$ and richness $\hat{N}_{\rm mem}>15$ that roughly corresponds to $M_{\rm 200m}\gtrsim 10^{14}h^{-1}M_\odot$. We confirm good cluster photometric redshift performance, with the bias and scatter in $\Delta z/(1+z)$ being better than 0.005 and 0.01 over most of the redshift range, respectively. We compare our cluster catalog with large X-ray cluster catalogs from XXL and XMM-LSS surveys and find good correlation between richness and X-ray properties. We also study the miscentering effect from the distribution of offsets between optical and X-ray cluster centers. We confirm the high ($>0.9$) completeness and purity for high mass clusters by analyzing mock galaxy catalogs.