A DECADE of Giants: A catalog of 42,000 optically identified galaxy clusters from 13,000 deg2 of the sky
Abstract
Galaxy clusters are sensitive to a rich variety of physics spanning a wide dynamic range, from microphysical to cosmological scales. Optical datasets are efficient at identifying clusters and studying their properties. We leverage 13,000 deg2 of the sky imaged by the Dark Energy Camera (DECam) and extract over 40,000 clusters using the redMaPPer algorithm. Our catalog spans 0.2 < z < 0.9 and M200c ≳ 1014 M⊙/h, with four-band (griz) photometric redshifts that have a precision σz/(1 + z) ≤ 0.008 below z < 0.65, and ≤ 0.011 between 0.65 < z < 0.9 and that exhibit an outlier rate of fout < 0.2%. Our cluster finding is calibrated using spectroscopic data, but we find that a larger spectroscopic sample does not improve the performance of our cluster redshift estimation. We cross-match our catalog to those produced from millimeter-wave and X-ray data, and extract scaling relations between various cluster observables. There is excellent agreement between our estimates for different subsets of the 13,000 deg2 dataset, and also with results from prior catalogs and simulations. We use our joint analysis of millimeter-wave and optical data to estimate the halo masses of individual clusters. We also provide lensing profiles, measured for each cluster using overlapping galaxy shape catalogs, to enable additional mass-calibration work from the community. We demonstrate from a suite of tests that spatial inhomogeneity in the quality of the imaging data does not have an appreciable impact on the properties of this catalog. We also test a cylindrical richness observable, which is defined such that it is significantly simpler to model, and show that it has precision competitive with the traditional optical richness observable. All data products and measurements are made publicly available.
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BibTeX
@misc{anbajagane2026decade,
title = {{A DECADE of Giants: A catalog of 42,000 optically identified galaxy clusters from 13,000 $\mathrmdeg^2$ of the sky}},
author = {D. Anbajagane and C. To and M. Gaido and C. Chang and A. Drlica-Wagner and M. Adamow and A. Alarcon and M. R. Becker and C. R. Bom and J. A. Carballo-Bello and N. Chicoine and Y. Choi and M. Costanzi and P. S. Ferguson and M. Gatti and P. A. Giles and S. Grandis and D. Gruen and R. A. Gruendl and W. G. Hartley and G. Herron and David J. James and T. E. Jeltema and N. MacCrann and M. Navabi and C. E. Martínez-Vázquez and S. Mau and J. McCullough and B. Mutlu-Pakdil and N. E. D. Noël and A. B. Pace and J. Prat and A. H. Riley and A. K. Romer and D. J. Sand and L. Santana-Silva and L. F. Secco and I. Sevilla-Noarbe and T. Shin and G. S. Stringfellow and C. Y. Tan and R. Teixeira and H. -Y. Wu and A. Zenteno and Y. Zhang and Z. Zhang and J. Zuntz},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.24104},
eprint = {2610.24104},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.24104},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - A DECADE of Giants: A catalog of 42,000 optically identified galaxy clusters from 13,000 deg^2 of the sky
AU - D. Anbajagane
AU - C. To
AU - M. Gaido
AU - C. Chang
AU - A. Drlica-Wagner
AU - M. Adamow
AU - A. Alarcon
AU - M. R. Becker
AU - C. R. Bom
AU - J. A. Carballo-Bello
AU - N. Chicoine
AU - Y. Choi
AU - M. Costanzi
AU - P. S. Ferguson
AU - M. Gatti
AU - P. A. Giles
AU - S. Grandis
AU - D. Gruen
AU - R. A. Gruendl
AU - W. G. Hartley
AU - G. Herron
AU - David J. James
AU - T. E. Jeltema
AU - N. MacCrann
AU - M. Navabi
AU - C. E. Martínez-Vázquez
AU - S. Mau
AU - J. McCullough
AU - B. Mutlu-Pakdil
AU - N. E. D. Noël
AU - A. B. Pace
AU - J. Prat
AU - A. H. Riley
AU - A. K. Romer
AU - D. J. Sand
AU - L. Santana-Silva
AU - L. F. Secco
AU - I. Sevilla-Noarbe
AU - T. Shin
AU - G. S. Stringfellow
AU - C. Y. Tan
AU - R. Teixeira
AU - H. -Y. Wu
AU - A. Zenteno
AU - Y. Zhang
AU - Z. Zhang
AU - J. Zuntz
PY - 2026
DA - 2026/10/16
PB - arXiv
DO - 10.48550/arxiv.2610.24104
UR - https://arxiv.org/abs/2610.24104
AB - Galaxy clusters are sensitive to a rich variety of physics spanning a wide dynamic range, from microphysical to cosmological scales. Optical datasets are efficient at identifying clusters and studying their properties. We leverage 13,000 deg^2 of the sky imaged by the Dark Energy Camera (DECam) and extract over 40,000 clusters using the redMaPPer algorithm. Our catalog spans 0.2 < z < 0.9 and M_200c ≳ 10^14 M_⊙/h, with four-band (griz) photometric redshifts that have a precision σ_z/(1 + z) ≤ 0.008 below z < 0.65, and ≤ 0.011 between 0.65 < z < 0.9 and that exhibit an outlier rate of f_out < 0.2%. Our cluster finding is calibrated using spectroscopic data, but we find that a larger spectroscopic sample does not improve the performance of our cluster redshift estimation. We cross-match our catalog to those produced from millimeter-wave and X-ray data, and extract scaling relations between various cluster observables. There is excellent agreement between our estimates for different subsets of the 13,000 deg^2 dataset, and also with results from prior catalogs and simulations. We use our joint analysis of millimeter-wave and optical data to estimate the halo masses of individual clusters. We also provide lensing profiles, measured for each cluster using overlapping galaxy shape catalogs, to enable additional mass-calibration work from the community. We demonstrate from a suite of tests that spatial inhomogeneity in the quality of the imaging data does not have an appreciable impact on the properties of this catalog. We also test a cylindrical richness observable, which is defined such that it is significantly simpler to model, and show that it has precision competitive with the traditional optical richness observable. All data products and measurements are made publicly available.
ER -