Speaker
Description
We present a catalog of 500 galaxy cluster candidates in the SPT-Deep field: a 100 square-degree field that combines data from the SPT-3G and SPTpol surveys to reach noise levels of 3.0, 2.2, and 9.0 uK-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 SNR = 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 were used to confirm 440 cluster candidates. The clusters span 0.25 < z < ~1.8 and 1e14 Msun/h < M500c < 8.8e14 Msun/h. The sample's median redshift is 0.75 and the median mass is 1.66e14 Msun/h; 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%) 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 220GHz band.
| Would you be interested in presenting a poster if the conference is oversubcribed? | No |
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