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TY - JOUR
T1 - Multi-wavelength Properties of Radio- and Machine-learning-identified Counterparts to Submillimeter Sources in S2COSMOS
AU - An, Fang Xia
AU - Simpson, J. M.
AU - Smail, Ian
AU - Swinbank, A. M.
AU - Ma, Cong
AU - Liu, Daizhong
AU - Lang, P.
AU - Schinnerer, E.
AU - Karim, A.
AU - Magnelli, B.
AU - Leslie, S.
AU - Bertoldi, F.
AU - Chen, Chian-Chou
AU - Geach, J. E.
AU - Matsuda, Y.
AU - Stach, S. M.
AU - Wardlow, J. L.
AU - Gullberg, B.
AU - Ivison, R. J.
AU - Ao, Y.
AU - Coogan, R. T.
AU - Thomson, A. P.
AU - Chapman, S. C.
AU - Wang, R.
AU - Wang, Wei-Hao
AU - Yang, Y.
AU - Asquith, R.
AU - Bourne, N.
AU - Coppin, K.
AU - Hine, N. K.
AU - Ho, L. C.
AU - Hwang, H. S.
AU - Kato, Y.
AU - Lacaille, K.
AU - Lewis, A. J. R.
AU - Oteo, I.
AU - Scholtz, J.
AU - Sawicki, M.
AU - Smith, D.
N1 - This is an author-created, un-copyedited version of an article accepted for publication/published in The Astrophysical Journal. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at doi:10.3847/1538-4357/ab4d53
PY - 2019/11/19
Y1 - 2019/11/19
N2 - We identify multi-wavelength counterparts to 1147 submillimeter sourcesfrom the S2COSMOS SCUBA-2 survey of the COSMOS field by employing arecently developed radio+machine-learning method trained on a largesample of Atacama Large Millimeter/submillimeter Array(ALMA)–identified submillimeter galaxies (SMGs), including 260SMGs identified in the AS2COSMOS pilot survey. In total, we identify1222 optical/near-infrared (NIR)/radio counterparts to the 897 S2COSMOSsubmillimeter sources with S 850 > 1.6 mJy, yielding anoverall identification rate of (78 ± 9)%. We find that (22± 5)% of S2COSMOS sources have multiple identified counterparts.We estimate that roughly 27% of these multiple counterparts within thesame SCUBA-2 error circles very likely arise from physically associatedgalaxies rather than line-of-sight projections by chance. Thephotometric redshift of our radio+machine-learning-identified SMGsranges from z = 0.2 to 5.7 and peaks at z = 2.3 ± 0.1. The AGNfraction of our sample is (19 ± 4)%, which is consistent withthat of ALMA SMGs in the literature. Comparing with radio/NIR-detectedfield galaxy population in the COSMOS field, ourradio+machine-learning-identified counterparts of SMGs have the higheststar formation rates and stellar masses. These characteristics suggestthat our identified counterparts of S2COSMOS sources are arepresentative sample of SMGs at z ≲ 3. We employ ourmachine-learning technique to the whole COSMOS field and identified 6877potential SMGs, most of which are expected to have submillimeteremission fainter than the confusion limit of our S2COSMOS surveys({S}850μ {{m}}≲ 1.5 mJy). We study the clusteringproperties of SMGs based on this statistically large sample, findingthat they reside in high-mass dark matter halos ((1.2 ± 0.3)× 1013 h ‑1 {M}ȯ ),which suggests that SMGs may be the progenitors of massive ellipticalswe see in the local universe.
AB - We identify multi-wavelength counterparts to 1147 submillimeter sourcesfrom the S2COSMOS SCUBA-2 survey of the COSMOS field by employing arecently developed radio+machine-learning method trained on a largesample of Atacama Large Millimeter/submillimeter Array(ALMA)–identified submillimeter galaxies (SMGs), including 260SMGs identified in the AS2COSMOS pilot survey. In total, we identify1222 optical/near-infrared (NIR)/radio counterparts to the 897 S2COSMOSsubmillimeter sources with S 850 > 1.6 mJy, yielding anoverall identification rate of (78 ± 9)%. We find that (22± 5)% of S2COSMOS sources have multiple identified counterparts.We estimate that roughly 27% of these multiple counterparts within thesame SCUBA-2 error circles very likely arise from physically associatedgalaxies rather than line-of-sight projections by chance. Thephotometric redshift of our radio+machine-learning-identified SMGsranges from z = 0.2 to 5.7 and peaks at z = 2.3 ± 0.1. The AGNfraction of our sample is (19 ± 4)%, which is consistent withthat of ALMA SMGs in the literature. Comparing with radio/NIR-detectedfield galaxy population in the COSMOS field, ourradio+machine-learning-identified counterparts of SMGs have the higheststar formation rates and stellar masses. These characteristics suggestthat our identified counterparts of S2COSMOS sources are arepresentative sample of SMGs at z ≲ 3. We employ ourmachine-learning technique to the whole COSMOS field and identified 6877potential SMGs, most of which are expected to have submillimeteremission fainter than the confusion limit of our S2COSMOS surveys({S}850μ {{m}}≲ 1.5 mJy). We study the clusteringproperties of SMGs based on this statistically large sample, findingthat they reside in high-mass dark matter halos ((1.2 ± 0.3)× 1013 h ‑1 {M}ȯ ),which suggests that SMGs may be the progenitors of massive ellipticalswe see in the local universe.
KW - Observational astronomy
KW - Starburst galaxies
KW - High-redshift galaxies
KW - Galaxy formation
KW - Galaxy evolution
KW - Submillimeter astronomy
KW - Clustering
U2 - 10.3847/1538-4357/ab4d53
DO - 10.3847/1538-4357/ab4d53
M3 - Journal article
VL - 886
JO - The Astrophysical Journal
JF - The Astrophysical Journal
SN - 0004-637X
IS - 1
M1 - 48
ER -