期刊
ASTROPHYSICAL JOURNAL
卷 723, 期 2, 页码 1736-1747出版社
IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/723/2/1736
关键词
cosmology: observations; galaxies: clusters: general
资金
- National Aeronautics and Space Administration
- National Science Foundation [AST-0506752, AST-0607485, ANT-0638937, ANT-0130612, MRI-0723073]
- DOE [DE-FG02-08ER41569, DE-AC02-05CH11231]
- NIST [70NANB8H8007]
- Harvard University
- Brinson Foundation
- Clay fellowship
- Direct For Mathematical & Physical Scien
- Division Of Astronomical Sciences [0902010] Funding Source: National Science Foundation
- Direct For Mathematical & Physical Scien
- Division Of Astronomical Sciences [1009012] Funding Source: National Science Foundation
- STFC [ST/G002711/1] Funding Source: UKRI
We present redshifts and optical richness properties of 21 galaxy clusters uniformly selected by their Sunyaev-Zel'dovich (SZ) signature. These clusters, plus an additional, unconfirmed candidate, were detected in a 178 deg(2) area surveyed by the South Pole Telescope (SPT) in 2008. Using griz imaging from the Blanco Cosmology Survey and from pointed Magellan telescope observations, as well as spectroscopy using Magellan facilities, we confirm the existence of clustered red-sequence galaxies, report red-sequence photometric redshifts, present spectroscopic redshifts for a subsample, and derive R-200 radii and M-200 masses from optical richness. The clusters span redshifts from 0.15 to greater than 1, with a median redshift of 0.74; three clusters are estimated to be at z > 1. Redshifts inferred from mean red-sequence colors exhibit 2% rms scatter in sigma(z)/(1 + z) with respect to the spectroscopic subsample for z < 1. We show that the M-200 cluster masses derived from optical richness correlate with masses derived from SPT data and agree with previously derived scaling relations to within the uncertainties. Optical and infrared imaging is an efficient means of cluster identification and redshift estimation in large SZ surveys, and exploiting the same data for richness measurements, as we have done, will be useful for constraining cluster masses and radii for large samples in cosmological analysis.
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