Kavli Affiliate: Chao-Lin Kuo
| First 5 Authors: K. Kornoelje, L. E. Bleem, E. S. Rykoff, T. M. C. Abbott, P. A. R. Ade
| Summary:
We present a catalog of 500 galaxy cluster candidates in the SPT-Deep field:
a 100 deg$^2$ field that combines data from the SPT-3G and SPTpol surveys to
reach noise levels of 3.0, 2.2, and 9.0 $mu$K-arcmin at 95, 150, and 220 GHz,
respectively. This is comparable to noise levels expected for the wide field
survey of CMB-S4, a next-generation CMB experiment. Candidates are selected via
the thermal Sunyaev-Zel’dovich (SZ) effect with a minimum significance of $xi
= 4.0$, resulting in a catalog of purity $sim 89 %$. Optical data from the
Dark Energy Survey and infrared data from the Spitzer Space Telescope are used
to confirm 442 cluster candidates. The clusters span $0.12 < z lesssim 1.8$
and $1.0 times 10^{14} M_{odot}/h_{70} < M_{500c} < 8.7 times 10^{14}
M_{odot}/h_{70}$. The sample’s median redshift is 0.74 and the median mass is
$1.7 times 10^{14} M_{odot}/h_{70}$; these are the lowest median mass and
highest median redshift of any SZ-selected sample to date. We assess the effect
of infrared emission from cluster member galaxies on cluster selection by
performing a joint fit to the infrared dust and tSZ signals by combining
measurements from SPT and overlapping submillimeter data from Herschel/SPIRE.
We find that at high redshift ($z>1)$, the tSZ signal is reduced by
$17.4^{+3.1}_{-2.9} %$ ($3.7^{+0.7}_{-0.7}%$) at 150 GHz (95 GHz) due to dust
contamination. We repeat our cluster finding method on dust-nulled SPT maps and
find the resulting catalog is consistent with the nominal SPT-Deep catalog,
demonstrating dust contamination does not significantly impact the SPT-Deep
selection function; we attribute this lack of bias to the inclusion of the SPT
220 GHz band.
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