Multi-wavelength Properties of Radio- and Machine-learning-identified Counterparts to Submillimeter Sources in S2COSMOS
Xia An,Fang1,2,3; Simpson,J. M.1,4; Smail,Ian1; Swinbank,A. M.1; Ma,Cong5,6,7; Liu,Daizhong8; Lang,P.8; Schinnerer,E.8; Karim,A.9; Magnelli,B.9; Leslie,S.8; Bertoldi,F.9; Chen,Chian-Chou10; Geach,J. E.11; Matsuda,Y.12,13; Stach,S. M.1; Wardlow,J. L.14; Gullberg,B.1; Ivison,R. J.10,15; Ao,Y.3; Coogan,R. T.16; Thomson,A. P.17; Chapman,S. C.18; Wang,R.19; Wang,Wei-Hao4; Yang,Y.20; Asquith,R.21; Bourne,N.15; Coppin,K.22; Hine,N. K.22; Ho,L. C.19,23; Hwang,H. S.20; Kato,Y.12; Lacaille,K.24; Lewis,A. J. R.15; Oteo,I.10,15; Scholtz,J.1; Sawicki,M.25; Smith,D.22
Source PublicationThe Astrophysical Journal
AbstractAbstract We identify multi-wavelength counterparts to 1147 submillimeter sources from the S2COSMOS SCUBA-2 survey of the COSMOS field by employing a recently developed radio+machine-learning method trained on a large sample of Atacama Large Millimeter/submillimeter Array (ALMA)–identified submillimeter galaxies (SMGs), including 260 SMGs identified in the AS2COSMOS pilot survey. In total, we identify 1222 optical/near-infrared (NIR)/radio counterparts to the 897 S2COSMOS submillimeter sources with S850?>?1.6 mJy, yielding an overall 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 the same SCUBA-2 error circles very likely arise from physically associated galaxies rather than line-of-sight projections by chance. The photometric redshift of our radio+machine-learning-identified SMGs ranges from z?=?0.2 to 5.7 and peaks at z?=?2.3?±?0.1. The AGN fraction of our sample is (19 ± 4)%, which is consistent with that of ALMA SMGs in the literature. Comparing with radio/NIR-detected field galaxy population in the COSMOS field, our radio+machine-learning-identified counterparts of SMGs have the highest star formation rates and stellar masses. These characteristics suggest that our identified counterparts of S2COSMOS sources are a representative sample of SMGs at z???3. We employ our machine-learning technique to the whole COSMOS field and identified 6877 potential SMGs, most of which are expected to have submillimeter emission fainter than the confusion limit of our S2COSMOS surveys ( mJy). We study the clustering properties of SMGs based on this statistically large sample, finding that they reside in high-mass dark matter halos ((1.2?±?0.3)?×?1013 h?1 ), which suggests that SMGs may be the progenitors of massive ellipticals we see in the local universe.
KeywordObservational astronomy Starburst galaxies High-redshift galaxies Galaxy formation Galaxy evolution Submillimeter astronomy Clustering
WOS IDIOP:0004-637X-886-1-ab4d53
PublisherThe American Astronomical Society
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Document Type期刊论文
Affiliation1.Centre for Extragalactic Astronomy, Department of Physics, Durham University, Durham, DH1 3LE, UK;,
2.Inter-University Institute for Data Intensive Astronomy, and Department of Physics and Astronomy, University of the Western Cape, Robert Sobukwe Road, Bellville 7535, Cape Town, South Africa
3.Purple Mountain Observatory, Chinese Academy of Sciences, 10 Yuanhua Road, Nanjing 210034, People's Republic of China
4.Academia Sinica Institute of Astronomy and Astrophysics, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan
5.South African Radio Astronomy Observatory, 2 Fir Street, Observatory 7925, Western Cape, South Africa
6.Department of Mathematics and Applied Mathematics, University of Cape Town, Cross Campus Road, Rondebosch 7700, Western Cape, South Africa
7.African Institute for Mathematical Sciences, 6–8 Melrose Road, Muizenberg 7945, Western Cape, South Africa
8.Max Planck Institute for Astronomy, K?nigstuhl 17, D-69117 Heidelberg, Germany
9.Argelander-Institut für Astronomie, Universit?t Bonn, Auf dem Hügel 71, D-53121 Bonn, Germany
10.European Southern Observatory, Karl Schwarzschild Strasse 2, Garching, Germany
11.Centre for Astrophysics Research, School of Physics, Astronomy and Mathematics, University of Hertfordshire, Hatfield AL10 9AB, UK
12.National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo, 181-8588, Japan
13.The Graduate University for Advanced Studies (SOKENDAI), Osawa, Mitaka, Tokyo, 181-8588, Japan
14.Physics Department, Lancaster University, Lancaster LA1 4YB, UK
15.Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK
16.Astronomy Centre, Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK
17.The University of Manchester, Oxford Road, Manchester M13 9PL, UK
18.Department of Physics and Atmospheric Science, Dalhousie University Halifax, NS B3H 3J5, Canada
19.Kavli Institute for Astronomy and Astrophysics, Peking University, Beijing 100871, People's Republic of China
20.Korea Astronomy and Space Science Institute, 776 Daedeokdae-ro, Yuseong-gu, Daejeon 34055, Republic of Korea
21.School of Physics & Astronomy, University of Nottingham, Nottingham NG7 2RD, UK
22.Centre for Astrophysics Research, Science and Technology Research Institute, University of Hertfordshire, Hatfield AL10 9AB, UK
23.Department of Astronomy, Peking University, Beijing, 100087, People's Republic of China
24.Department of Physics and Astronomy, McMaster University, Hamilton, ON L8S 4M1 Canada
25.Department of Astronomy and Physics, Saint Marys University, Halifax, NS B3H 3C3, Canada
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GB/T 7714
Xia An,Fang,Simpson,J. M.,Smail,Ian,et al. Multi-wavelength Properties of Radio- and Machine-learning-identified Counterparts to Submillimeter Sources in S2COSMOS[J]. The Astrophysical Journal,2019,886(1).
APA Xia An,Fang.,Simpson,J. M..,Smail,Ian.,Swinbank,A. M..,Ma,Cong.,...&Smith,D..(2019).Multi-wavelength Properties of Radio- and Machine-learning-identified Counterparts to Submillimeter Sources in S2COSMOS.The Astrophysical Journal,886(1).
MLA Xia An,Fang,et al."Multi-wavelength Properties of Radio- and Machine-learning-identified Counterparts to Submillimeter Sources in S2COSMOS".The Astrophysical Journal 886.1(2019).
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