中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-wavelength Properties of Radio- and Machine-learning-identified Counterparts to Submillimeter Sources in S2COSMOS

文献类型:期刊论文

作者Xia An,Fang23,24,25; Simpson,J. M.22,25; Smail,Ian25; Swinbank,A. M.25; Ma,Cong19,20,21; Liu,Daizhong18; Lang,P.18; Schinnerer,E.18; Karim,A.17; Magnelli,B.17
刊名The Astrophysical Journal
出版日期2019-11-19
卷号886期号:1
关键词Observational astronomy Starburst galaxies High-redshift galaxies Galaxy formation Galaxy evolution Submillimeter astronomy Clustering
ISSN号0004-637X
DOI10.3847/1538-4357/ab4d53
英文摘要Abstract 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.
语种英语
WOS记录号IOP:0004-637X-886-1-AB4D53
出版者The American Astronomical Society
源URL[http://libir.pmo.ac.cn/handle/332002/35641]  
专题中国科学院紫金山天文台
作者单位1.Department of Astronomy and Physics, Saint Marys University, Halifax, NS B3H 3C3, Canada
2.Department of Physics and Astronomy, McMaster University, Hamilton, ON L8S 4M1 Canada
3.Department of Astronomy, Peking University, Beijing, 100087, People's Republic of China
4.Centre for Astrophysics Research, Science and Technology Research Institute, University of Hertfordshire, Hatfield AL10 9AB, UK
5.School of Physics & Astronomy, University of Nottingham, Nottingham NG7 2RD, UK
6.Korea Astronomy and Space Science Institute, 776 Daedeokdae-ro, Yuseong-gu, Daejeon 34055, Republic of Korea
7.Kavli Institute for Astronomy and Astrophysics, Peking University, Beijing 100871, People's Republic of China
8.Department of Physics and Atmospheric Science, Dalhousie University Halifax, NS B3H 3J5, Canada
9.The University of Manchester, Oxford Road, Manchester M13 9PL, UK
10.Astronomy Centre, Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK
推荐引用方式
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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来源:紫金山天文台

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