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PSF-based Analysis for Detecting Unresolved Wide Binaries

文献类型：期刊论文

作者Wu, You6; Li, Jiao6; Liu, Chao6; Hu, Yi5; Xu, Long4; Li, Tanda3; Chen XF(陈雪飞)1,2; Han ZW(韩占文)1,2; Chen XF(陈雪飞); Han ZW(韩占文)
刊名ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
出版日期2023-09-01
卷号268期号:1
ISSN号0067-0049
DOI10.3847/1538-4365/ace9be
产权排序第5完成单位
文献子类Article
英文摘要Wide binaries play a crucial role in analyzing the birth environment of stars and the dynamical evolution of clusters. When wide binaries are located at greater distances, their companions may overlap in the observed images, becoming indistinguishable and resulting in unresolved wide binaries, which are difficult to detect using traditional methods. Utilizing deep learning, we present a method to identify unresolved wide binaries by analyzing the point-spread function (PSF) morphology of telescopes. Our trained model demonstrates exceptional performance in differentiating between single stars and unresolved binaries with separations ranging from 0.1 to 2 physical pixels, where the PSF FWHM is & SIM;2 pixels, achieving an accuracy of 97.2% for simulated data from the Chinese Space Station Telescope. We subsequently tested our method on photometric data of NGC 6121 observed by the Hubble Space Telescope. The trained model attained an accuracy of 96.5% and identified 18 wide binary candidates with separations between 7 and 140 au. The majority of these wide binary candidates are situated outside the core radius of NGC 6121, suggesting that they are likely first-generation stars, which is in general agreement with the results of Monte Carlo simulations. Our PSF-based method shows great promise in detecting unresolved wide binaries and is well suited for observations from space-based telescopes with stable PSF. In the future, we aim to apply our PSF-based method to next-generation surveys such as the China Space Station Optical Survey, where a larger-field-of-view telescope will be capable of identifying a greater number of such wide binaries.
学科主题天文学 ; 恒星与银河系
URL标识查看原文
出版地TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
WOS关键词MULTIPLE STELLAR POPULATIONS ; FINAL MASS RELATION ; GLOBULAR-CLUSTERS ; RADIAL-VELOCITIES ; MAIN-SEQUENCE ; CHEMICAL HOMOGENEITY ; ADAPTIVE OPTICS ; WHITE-DWARFS ; STARS ; I.
资助项目National Natural Science Foundation of China[12103064] ; National Natural Science Foundation of China[12125303] ; National Natural Science Foundation of China[12288102] ; National Natural Science Foundation of China[12090040/3] ; National Natural Science Foundation of China[12090043] ; National Natural Science Foundation of China[11873016] ; Science Research grants from the China Manned Space Project[CMS-CSST-2021-A10] ; Science Research grants from the China Manned Space Project[CMS-CSST-2021-A08] ; Science Research grants from the China Manned Space Project[CMS-CSST-2021-B05] ; NSFC[U2031203] ; Chinese Academy of Sciences[U2031203]
WOS研究方向Astronomy & Astrophysics
语种英语
出版者IOP Publishing Ltd
WOS记录号WOS:001064098500001
资助机构National Natural Science Foundation of China[12103064, 12125303, 12288102, 12090040/3, 12090043, 11873016] ; Science Research grants from the China Manned Space Project[CMS-CSST-2021-A10, CMS-CSST-2021-A08, CMS-CSST-2021-B05] ; NSFC[U2031203] ; Chinese Academy of Sciences[U2031203]
版本出版稿
源URL[http://ir.ynao.ac.cn/handle/114a53/26217]  
专题云南天文台_大样本恒星演化研究组
通讯作者Li, Jiao
作者单位1.Center for Astronomical Mega-Science, Chinese Academy of Science, Beijing 100012, People's Republic of China
2.Yunnan Observatories, CAS, P.O. Box 110, Kunming 650011, Yunnan, People's Republic of China;
3.Department of Astronomy, Beijing Normal University, Beijing 100875, People's Republic of China;
4.Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People's Republic of China; lxu@nao.cas.cn;
5.National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People's Republic of China;
6.Key Laboratory of Space Astronomy and Technology, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People's Republic of China; lijiao@bao.ac.cn, liuchao@nao.cas.cn;
推荐引用方式
GB/T 7714		 Wu, You,Li, Jiao,Liu, Chao,et al. PSF-based Analysis for Detecting Unresolved Wide Binaries[J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,2023,268(1).
APA Wu, You.,Li, Jiao.,Liu, Chao.,Hu, Yi.,Xu, Long.,...&韩占文.(2023).PSF-based Analysis for Detecting Unresolved Wide Binaries.ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,268(1).
MLA Wu, You,et al."PSF-based Analysis for Detecting Unresolved Wide Binaries".ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 268.1(2023).

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来源：云南天文台

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