A method of photometric data extraction for asteroids from time-domain surveys | |
Xu XY(徐肖云)4,5; Wang XB(王晓彬)3,4,5; Muinonen, Karri2; Penttilä, Antti2; Luo NP(罗南平)4,5; Gu SH(顾盛宏)3,4,5; Sun LL(孙磊磊)3,5; Xu FK(徐甫坤)3,5; Liu, Yisi1; Xiang Y(项越)3,5 | |
刊名 | Monthly Notices of the Royal Astronomical Society |
2023-05-01 | |
卷号 | 521期号:3页码:3925-3938 |
ISSN号 | 0035-8711 |
DOI | 10.1093/mnras/stad765 |
产权排序 | 第1完成单位 |
文献子类 | Journal article (JA) |
英文摘要 | The lightcurves of asteroids are essential for determining their physical characteristics, including shape, spin, size, and surface composition. However, most asteroids are missing some of these basic physical parameters due to lack of photometric data. Although a few telescopes or surveys are specially designed for photometric lightcurve observations of asteroids, many ground-based and space-based sky surveys for hunting new exoplanets, transient events, etc., should capture numerous small Solar system objects. This will benefit the physical studies of these objects. In order to extract data of these moving objects from time-domain photometric surveys, we have developed a new method using the model tree algorithm in the field of machine learning. A dedicated module is built to automatically identify moving objects in data set and extract their photometric and astrometric data. As the first application of this novel method, we have analysed data in five fields of the Yunnan-Hong Kong wide field photometric (YNHK) survey, from which 538 lightcurves of 211 asteroids are successfully extracted. Meanwhile, we also tested the method based on the data from NASA's Transiting Exoplanet Survey Satellite, and the result proves the reliability of our method. With derived lightcurves of 13 asteroids from the YNHK survey, we have determined their synodic spin periods, among which the periods of four asteroids are estimated for the first time. In future, we are going to apply this method to search for small objects in the outer part of the Solar system from the Chinese Space Station Telescope survey. © 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. |
学科主题 | 天文学 |
URL标识 | 查看原文 |
语种 | 英语 |
出版者 | Oxford University Press |
资助机构 | N/A |
内容类型 | 期刊论文 |
源URL | [http://ir.ynao.ac.cn/handle/114a53/26050] |
专题 | 云南天文台_系外行星研究组 |
作者单位 | 1.Deep Space Exploration Laboratory, Beijing, 100043, China 2.Department of Physics, University of Helsinki, PO box 64, Helsinki, FI-00014, Finland; 3.Key Laboratory for the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, Kunming, 650216, China; 4.University of Chinese Academy of Sciences, Beijing, 100049, China; 5.Yunnan Observatories, Chinese Academy of Sciences, Kunming, 650216, China; |
推荐引用方式 GB/T 7714 | Xu XY,Wang XB,Muinonen, Karri,et al. A method of photometric data extraction for asteroids from time-domain surveys[J]. Monthly Notices of the Royal Astronomical Society,2023,521(3):3925-3938. |
APA | 徐肖云.,王晓彬.,Muinonen, Karri.,Penttilä, Antti.,罗南平.,...&王建华.(2023).A method of photometric data extraction for asteroids from time-domain surveys.Monthly Notices of the Royal Astronomical Society,521(3),3925-3938. |
MLA | 徐肖云,et al."A method of photometric data extraction for asteroids from time-domain surveys".Monthly Notices of the Royal Astronomical Society 521.3(2023):3925-3938. |
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