PSF-based Analysis for Detecting Unresolved Wide Binaries | |
Wu, You1; Li, Jiao1; Liu, Chao1; Hu, Yi2; Xu, Long3; Li, Tanda4; Chen XF(陈雪飞)5,6; Han ZW(韩占文)5,6 | |
发表期刊 | ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES |
2023-09-01 | |
卷号 | 268期号:1 |
DOI | 10.3847/1538-4365/ace9be |
产权排序 | 第5完成单位 |
收录类别 | SCI |
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 similar to 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. |
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]; China Manned Space Project[CMS-CSST-2021-A10]; China Manned Space Project[CMS-CSST-2021A08]; China Manned Space Project[CMS-CSST-2021-B05]; NSFC[U2031203]; Chinese Academy of Sciences[U2031203] |
项目资助者 | National Natural Science Foundation of China[12103064, 12125303, 12288102, 12090040/3, 12090043, 11873016] ; China Manned Space Project[CMS-CSST-2021-A10, CMS-CSST-2021A08, CMS-CSST-2021-B05] ; NSFC[U2031203] ; Chinese Academy of Sciences[U2031203] |
语种 | 英语 |
学科领域 | 天文学 ; 恒星与银河系 |
文章类型 | Article |
出版者 | IOP Publishing Ltd |
出版地 | TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND |
ISSN | 0067-0049 |
URL | 查看原文 |
WOS记录号 | WOS:001169016300035 |
WOS研究方向 | Astronomy & Astrophysics |
WOS类目 | Astronomy & Astrophysics |
关键词[WOS] | MULTIPLE STELLAR POPULATIONS ; FINAL MASS RELATION ; GLOBULAR-CLUSTERS ; RADIAL-VELOCITIES ; MAIN-SEQUENCE ; CHEMICAL HOMOGENEITY ; ADAPTIVE OPTICS ; WHITE-DWARFS ; STARS ; I. |
引用统计 | |
文献类型 | 期刊论文 |
版本 | 出版稿 |
条目标识符 | http://ir.ynao.ac.cn/handle/114a53/26217 |
专题 | 大样本恒星演化研究组 |
作者单位 | 1.Key Laboratory of Space Astronomy and Technology, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People's Republic of China; [email protected], [email protected]; 2.National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People's Republic of China; 3.Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People's Republic of China; [email protected]; 4.Department of Astronomy, Beijing Normal University, Beijing 100875, People's Republic of China; 5.Yunnan Observatories, CAS, P.O. Box 110, Kunming 650011, Yunnan, People's Republic of China; 6.Center for Astronomical Mega-Science, Chinese Academy of Science, Beijing 100012, People's Republic of China |
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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PSF-based Analysis f(3594KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
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