Catalogs of optically selected clusters and photometric luminous red galaxies from the Hyper Suprime-Cam Subaru Strategic Program final-year dataset

Abstract We construct samples of optically selected clusters and photometric luminous red galaxies (LRGs) from the Hyper Suprime-Cam Subaru Strategic Program final-year dataset covering $\sim$1200 deg$^2$. The cluster catalogs extend out to a redshift of 1.38 and contain more than 10000 clusters with richness larger than 15, where the richness is defined to be a membership probability weighted number of galaxies above the stellar masses of approximately $10^{10.2}\, M_\odot$. The total number of probable red cluster member galaxies in these clusters is more than $6\times 10^5$. Photometric redshifts of the clusters are shown to be precise with a scatter better than $\sim$0.01 for a wide redshift range. We detect stacked weak-lensing signals of clusters out to a redshift of 1, and use them to update constraints on the mass–richness relation. Our catalog of about 6 million photometric LRGs extends to a redshift of 1.25, and has a photometric redshift scatter of better than $\sim$0.02 for the redshift range between 0.4 and 1.0.

Authors

Institutions

Publication Details

Journal
Publications of the Astronomical Society of Japan
Published
2025-12-23
DOI
https://doi.org/10.1093/pasj/psaf150
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Catalogs of optically selected clusters and photometric luminous red galaxies from the Hyper Suprime-Cam Subaru Strategic Program final-year dataset

Rhythm Shimakawa, Yoshiki Toba, Hung-Yu Jian, Naomi Ota et al.
Publications of the Astronomical Society of Japan
Galaxies: Formation, Evolution, Phenomena
article

Catalogs of optically selected clusters and photometric luminous red galaxies from the Hyper Suprime-Cam Subaru Strategic Program final-year dataset

Rhythm Shimakawa, Yoshiki Toba, Hung-Yu Jian, Naomi Ota, Lin Lin, Lihwai Lin, I-Non Tim Chiu, N. Okabe, M. Fujikawa, M. Oguri, Tadayuki Kodama, Atsushi J Nishizawa
article en

Abstract

Abstract We construct samples of optically selected clusters and photometric luminous red galaxies (LRGs) from the Hyper Suprime-Cam Subaru Strategic Program final-year dataset covering $\sim$1200 deg$^2$. The cluster catalogs extend out to a redshift of 1.38 and contain more than 10000 clusters with richness larger than 15, where the richness is defined to be a membership probability weighted number of galaxies above the stellar masses of approximately $10^{10.2}\, M_\odot$. The total number of probable red cluster member galaxies in these clusters is more than $6\times 10^5$. Photometric redshifts of the clusters are shown to be precise with a scatter better than $\sim$0.01 for a wide redshift range. We detect stacked weak-lensing signals of clusters out to a redshift of 1, and use them to update constraints on the mass–richness relation. Our catalog of about 6 million photometric LRGs extends to a redshift of 1.25, and has a photometric redshift scatter of better than $\sim$0.02 for the redshift range between 0.4 and 1.0.

Publications of the Astronomical Society of Japan
Hiroshima University (JP), Obayashi (Japan) (JP), Institute of Astronomy and Astrophysics, Academia Sinica (TW), Ritsumeikan University (JP), Waseda University (JP), Chiba University (JP), Tohoku University (JP), Gifu Shotoku Gakuen University (JP), Astronomical Institute of the Slovak Academy of Sciences (SK), Ehime University (JP), Nagoya University (JP), National Cheng Kung University (TW), Nara Women's University (JP)
Openalex Percentile: Top 26%
Galaxies: Formation, Evolution, Phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.