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Revisiting the Color-Color Selection: Submillimeter and AGN Properties of NUV-r-J Selected Quiescent Galaxies

Cited 3 time in Web of Science Cited 3 time in Scopus
Authors

Hwang, Yu-Hsuan; Wang, Wei-Hao; Chang, Yu-Yen; Lim, Chen-Fatt; Chen, Chian-Chou; Gao, Zhen-Kai; Dunlop, James S.; Gao, Yu; Ho, Luis C.; Hwang, Ho Seong; Koprowski, Maciej; Michalowski, Michal J.; Peng, Ying-jie; Shim, Hyunjin; Simpson, James M.; Toba, Yoshiki

Issue Date
2021-05
Publisher
University of Chicago Press
Citation
Astrophysical Journal, Vol.913 No.1, p. 6
Abstract
We examine the robustness of the color-color selection of quiescent galaxies (QGs) against contamination of dusty star-forming galaxies using the latest submillimeter data. We selected 18,304 QG candidates out to z similar to 3 using the commonly adopted NUV-r-J selection based on the high-quality multiwavelength COSMOS2015 catalog. Using extremely deep 450 and 850 mu m catalogs from the latest JCMT SCUBA-2 Large Programs, S2COSMOS and STUDIES, as well as the Atacama Large Millimeter/submillimeter Array submillimeter, VLA 3 GHz, and Spitzer MIPS 24 mu m catalogs, we identified luminous, dusty, star-forming galaxies among the QG candidates. We also conducted stacking analyses in the SCUBA-2 450 and 850 mu m images to look for less-luminous dusty galaxies among the QG candidates. By cross matching to the 24 mu m and 3 GHz data, we were able to identify a subgroup of "IR-radio-bright" QGs that possess strong 450 and 850 mu m stacking signals. The potential contamination of these luminous and less-luminous dusty galaxies accounts for approximately 10% of the color-selected QG candidates. In addition, there exists a spatial correlation between the luminous star-forming galaxies and the QGs at a less than or similar to 60 kpc scale. Finally, we found a high QG fraction among radio active galactic nuclei (AGNs) at z < 1.5. Our data show a strong correlation between QGs and radio AGNs, which may suggest a connection between the quenching process and the radio-mode AGN feedback.
ISSN
0004-637X
URI
https://hdl.handle.net/10371/195628
DOI
https://doi.org/10.3847/1538-4357/abf11a
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