Galaxy Clusters from the DESI Legacy Imaging Surveys. I. Cluster Detection

  • Zou H
  • Gao J
  • Xu X
  • et al.
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Abstract

Based on the photometric redshift catalog of Zou et al., we apply a fast clustering algorithm to identify 540,432 galaxy clusters at z ≲ 1 in the DESI legacy imaging surveys, which cover a sky area of about 20,000 deg 2 . Monte Carlo simulations indicate that the false-detection rate of our detecting method is about 3.1%. The total masses of galaxy clusters are derived using a calibrated richness–mass relation that is based on the observations of X-ray emission and the Sunyaev and Zel’dovich effect. The median redshift and mass of our detected clusters are about 0.53 and 1.23 × 10 14 M ⊙ , respectively. Comparing with previous clusters identified using the data of the Sloan Digital Sky Survey; we can recognize most of them, especially those with high richness. Our catalog will be used for further statistical studies on galaxy clusters and environmental effects on galaxy evolution, etc.

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APA

Zou, H., Gao, J., Xu, X., Zhou, X., Ma, J., Zhou, Z., … Xue, S. (2021). Galaxy Clusters from the DESI Legacy Imaging Surveys. I. Cluster Detection. The Astrophysical Journal Supplement Series, 253(2), 56. https://doi.org/10.3847/1538-4365/abe5b0

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