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PreprintCC0arXiv

The IRAC Distant Cluster Survey

Abstract

We present the Infrared Array Camera (IRAC) Distant Cluster Survey (IDCS), a catalog of 825 galaxy cluster and group candidates identified in the Boötes field using the PZWav detection code. Candidates are selected using photometric redshift probability distributions derived from twelve-band optical and infrared imaging. The catalog spans 0.08 < z < 2.0 (median z = 0.93) and includes 147 systems at z ≥ 1.5. For z < 1.5, simulations indicate a purity of 93% at the adopted S/N ≥ 4 threshold and 50% completeness at log(M200c/M⊙) = 13.74 ± 0.01. We validate the cluster photometric redshifts through comparison with spectroscopic data, finding σz/(1+z)=0.017. Including 18 previously published IRAC Shallow Cluster Survey (ISCS) systems, a total of 80 IDCS cluster candidates are now confirmed through spectroscopy and/or X-ray observations. DESI DR1 spectroscopy provides redshifts for 38 systems, including 23 newly confirmed clusters. These DESI-confirmed systems span 0.12 < z < 0.93 and have at least 10 spectroscopic members each, from which we measure a median velocity dispersion of ∼ 490 km s−1, corresponding to a median halo mass of 1.1 × 1014 M⊙. A positional comparison with 39 independently confirmed literature clusters yields a median centroid offset of 211 kpc. The IDCS catalog provides a cluster sample spanning a wide redshift range, with a selection function characterized through simulations and is a valuable resource for studies of large-scale structure, galaxy evolution in dense environments, and the calibration of cluster detection techniques for current and upcoming wide-field surveys, including LSST, Roman, and Euclid.

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BibTeX
@misc{garcia2026irac,
  title = {{The IRAC Distant Cluster Survey}},
  author = {Karolina Garcia and Anthony H. Gonzalez and Mark Brodwin and Peter Eisenhardt and Tyler George and Nadia Hansen and S. A. Stanford and Daniel Stern and Khunanon Thongkham and Ariane Trudeau and Michael J. I. Brown and Buell T. Jannuzi},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.40534},
  eprint = {2610.40534},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.40534},
  note = {CC0},
}
RIS
TY  - UNPB
TI  - The IRAC Distant Cluster Survey
AU  - Karolina Garcia
AU  - Anthony H. Gonzalez
AU  - Mark Brodwin
AU  - Peter Eisenhardt
AU  - Tyler George
AU  - Nadia Hansen
AU  - S. A. Stanford
AU  - Daniel Stern
AU  - Khunanon Thongkham
AU  - Ariane Trudeau
AU  - Michael J. I. Brown
AU  - Buell T. Jannuzi
PY  - 2026
DA  - 2026/10/29
PB  - arXiv
DO  - 10.48550/arxiv.2610.40534
UR  - https://arxiv.org/abs/2610.40534
AB  - We present the Infrared Array Camera (IRAC) Distant Cluster Survey (IDCS), a catalog of 825 galaxy cluster and group candidates identified in the Boötes field using the PZWav detection code. Candidates are selected using photometric redshift probability distributions derived from twelve-band optical and infrared imaging. The catalog spans 0.08 < z < 2.0 (median z = 0.93) and includes 147 systems at z ≥ 1.5. For z < 1.5, simulations indicate a purity of 93% at the adopted S/N ≥ 4 threshold and 50% completeness at log(M_200c/M_⊙) = 13.74 ± 0.01. We validate the cluster photometric redshifts through comparison with spectroscopic data, finding σ_z/(1+z)=0.017. Including 18 previously published IRAC Shallow Cluster Survey (ISCS) systems, a total of 80 IDCS cluster candidates are now confirmed through spectroscopy and/or X-ray observations. DESI DR1 spectroscopy provides redshifts for 38 systems, including 23 newly confirmed clusters. These DESI-confirmed systems span 0.12 < z < 0.93 and have at least 10 spectroscopic members each, from which we measure a median velocity dispersion of ∼ 490 km s^−1, corresponding to a median halo mass of 1.1 × 10^14 M_⊙. A positional comparison with 39 independently confirmed literature clusters yields a median centroid offset of 211 kpc. The IDCS catalog provides a cluster sample spanning a wide redshift range, with a selection function characterized through simulations and is a valuable resource for studies of large-scale structure, galaxy evolution in dense environments, and the calibration of cluster detection techniques for current and upcoming wide-field surveys, including LSST, Roman, and Euclid.
ER  -