Multi-wavelength properties of radio and machine-learning identified counterparts to submillimeter sources in S2COSMOS
dc.contributor.author | An, FangXia | |
dc.contributor.author | Simpson, J. M. | |
dc.contributor.author | Smail, Ian | |
dc.contributor.author | Swinbank, A. M. | |
dc.contributor.author | Ma, Cong | |
dc.contributor.author | Liu, Daizhong | |
dc.contributor.author | Lang, P. | |
dc.contributor.author | Schinnerer, E. | |
dc.contributor.author | Karim, A. | |
dc.contributor.author | Magnelli, B. | |
dc.contributor.author | Leslie, S. | |
dc.contributor.author | Bertoldi, F. | |
dc.contributor.author | Chen, Chian-Chou | |
dc.contributor.author | Geach, J. E. | |
dc.contributor.author | Matsuda, Y. | |
dc.contributor.author | Stach, S. M. | |
dc.contributor.author | Wardlow, J. L. | |
dc.contributor.author | Gullberg, B. | |
dc.contributor.author | Ivison, R. J. | |
dc.contributor.author | Ao, Y. | |
dc.contributor.author | Coogan, R. T. | |
dc.contributor.author | Thomson, A. P. | |
dc.contributor.author | Chapman, S. C. | |
dc.contributor.author | Wang, R. | |
dc.contributor.author | Wang, Wei-Hao | |
dc.contributor.author | Yang, Y. | |
dc.contributor.author | Asquith, R. | |
dc.contributor.author | Bourne, N. | |
dc.contributor.author | Coppin, K. | |
dc.contributor.author | Hine, N. K. | |
dc.contributor.author | Ho, L. C. | |
dc.contributor.author | Hwang, H. S. | |
dc.contributor.author | Kato, Y. | |
dc.contributor.author | Lacaille, K. | |
dc.contributor.author | Lewis, A. J. R. | |
dc.contributor.author | Oteo, I. | |
dc.contributor.author | Scholtz, J. | |
dc.contributor.author | Sawicki, M. | |
dc.contributor.author | Smith, D. | |
dc.date.accessioned | 2020-03-10T01:06:37Z | |
dc.date.available | 2020-03-10T01:06:37Z | |
dc.date.issued | 2019-11-20 | |
dc.identifier.citation | An , F , Simpson , J M , Smail , I , Swinbank , A M , Ma , C , Liu , D , Lang , P , Schinnerer , E , Karim , A , Magnelli , B , Leslie , S , Bertoldi , F , Chen , C-C , Geach , J E , Matsuda , Y , Stach , S M , Wardlow , J L , Gullberg , B , Ivison , R J , Ao , Y , Coogan , R T , Thomson , A P , Chapman , S C , Wang , R , Wang , W-H , Yang , Y , Asquith , R , Bourne , N , Coppin , K , Hine , N K , Ho , L C , Hwang , H S , Kato , Y , Lacaille , K , Lewis , A J R , Oteo , I , Scholtz , J , Sawicki , M & Smith , D 2019 , ' Multi-wavelength properties of radio and machine-learning identified counterparts to submillimeter sources in S2COSMOS ' , The Astrophysical Journal , vol. 886 , no. 1 , 48 . https://doi.org/10.3847/1538-4357/ab4d53 | |
dc.identifier.issn | 0004-637X | |
dc.identifier.other | ArXiv: http://arxiv.org/abs/1910.03596v1 | |
dc.identifier.other | ORCID: /0000-0001-9708-253X/work/70585856 | |
dc.identifier.other | ORCID: /0000-0002-0729-2988/work/70585890 | |
dc.identifier.uri | http://hdl.handle.net/2299/22396 | |
dc.description | © 2019 The American Astronomical Society. All rights reserved. | |
dc.description.abstract | We identify multi-wavelength counterparts to 1,147 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 ALMA-identified submillimeter galaxies (SMGs), including 260 SMGs identified in the AS2COSMOS pilot survey. In total, we identify 1,222 optical/near-infrared(NIR)/radio counterparts to the 897 S2COSMOS submillimeter sources with S$_{850}$>1.6mJy, yielding an overall identification rate of ($78\pm9$)%. We find that ($22\pm5$)% 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 $z=2.3\pm0.1$. The AGN fraction of our sample is ($19\pm4$)%, 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 | en |
dc.format.extent | 18 | |
dc.format.extent | 3005469 | |
dc.language.iso | eng | |
dc.relation.ispartof | The Astrophysical Journal | |
dc.subject | astro-ph.GA | |
dc.subject | astro-ph.CO | |
dc.title | Multi-wavelength properties of radio and machine-learning identified counterparts to submillimeter sources in S2COSMOS | en |
dc.contributor.institution | Centre for Astrophysics Research | |
dc.contributor.institution | Centre of Data Innovation Research | |
dc.contributor.institution | School of Physics, Astronomy and Mathematics | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.3847/1538-4357/ab4d53 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true |