The redMaPPer galaxy cluster catalog from DES science verification data
Date
2016-04-29
Authors
Rykoff, E. S
Rozo, E.
Hollowood, D.
Bermeo-Hernandez, A.
Jeltema, T.
Mayers, J.
Romer, A. K.
Rooney, P.
Saro, A.
Cervantes, C. Vergara
Journal Title
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Volume Title
Publisher
American Astronomical Society
Abstract
We describe updates to the redMaPPer algorithm, a photometric red-sequence cluster finder specifically designed
for large photometric surveys. The updated algorithm is applied to 150 deg² of Science Verification (SV) data from
the Dark Energy Survey (DES), and to the Sloan Digital Sky Survey (SDSS) DR8 photometric data set. The DES
SV catalog is locally volume limited and contains 786 clusters with richness λ > 20 (roughly equivalent to
M500c > 10¹⁴h⁻¹₇₀ M☉)
and 0.2 < z < 0.9. The DR8 catalog consists of 26,311 clusters with 0.08 < z < 0.6, with
a sharply increasing richness threshold as a function of redshift for z > 0.35. The photometric redshift performance
of both catalogs is shown to be excellent, with photometric redshift uncertainties controlled at the
σz (1 + z) ~ 0.01 level for z < 0.7, rising to ∼0.02 at z ~ 0.9 in DES SV. We make use of Chandra and
XMM X-ray and South Pole Telescope Sunyaev–Zeldovich data to show that the centering performance and mass–
richness scatter are consistent with expectations based on prior runs of redMaPPer on SDSS data. We also show
how the redMaPPer photo-z and richness estimates are relatively insensitive to imperfect star/galaxy separation
and small-scale star masks.
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Keywords
galaxies, clusters
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The Astrophysical Journal Supplement Series
Type
Journal article
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Open Access
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