KMS National Astronomical Observatories, CAS
| Open clusters identifying by multi-scale density feature learning | |
| Xiang, Yaobing1,2,3; Xi, Jiangbo4; Shao, Zhengyi5,6; Wang, Min1,2,3; Yang, Yun4 | |
| 2021-02-01 | |
| Source Publication | ASTROPHYSICS AND SPACE SCIENCE
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| ISSN | 0004-640X |
| Volume | 366Issue:2Pages:11 |
| Abstract | Open clusters (OCs) are important objects in exploring the structure and history of the Milky Way. Large amount of sky survey data can be used to detect OCs. However, analyzing these data manually has become a bottleneck of OC identification. This study proposes a multi-scale density feature learning (MSDFL), which includes the open cluster kernel density map to visualize the features of OCs; and open cluster identifying network, which is a deep learning model used to perform identifying with the maps. A test set and experimental region are utilized to evaluate the effectiveness of our method. For OCs that stand out as significant overdensities, experimental results show that the MSDFL method can achieve the accuracy of 94%. Lastly, the proposed method can successfully identify real OCs in the experimental sky region. The code is available at: https://gitee.com/colab_worker/cluster_search.. |
| Keyword | Open cluster Multi-scale Kernel density estimation Machine learning |
| Funding Organization | National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; Fundamental Research Funds for the Central Universities, CHD ; Fundamental Research Funds for the Central Universities, CHD ; National Key R&D Program of China ; National Key R&D Program of China ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; Fundamental Research Funds for the Central Universities, CHD ; Fundamental Research Funds for the Central Universities, CHD ; National Key R&D Program of China ; National Key R&D Program of China ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; Fundamental Research Funds for the Central Universities, CHD ; Fundamental Research Funds for the Central Universities, CHD ; National Key R&D Program of China ; National Key R&D Program of China ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; Fundamental Research Funds for the Central Universities, CHD ; Fundamental Research Funds for the Central Universities, CHD ; National Key R&D Program of China ; National Key R&D Program of China ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory |
| DOI | 10.1007/s10509-021-03923-9 |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[61806022] ; State Key Laboratory of Geo-Information Engineering[SKLGIE2018-M-3-4] ; Fundamental Research Funds for the Central Universities, CHD[300102269103] ; Fundamental Research Funds for the Central Universities, CHD[300102269304] ; Fundamental Research Funds for the Central Universities, CHD[300102269205] ; National Key R&D Program of China[2019YFA0405501] ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory |
| Funding Organization | National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; Fundamental Research Funds for the Central Universities, CHD ; Fundamental Research Funds for the Central Universities, CHD ; National Key R&D Program of China ; National Key R&D Program of China ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; Fundamental Research Funds for the Central Universities, CHD ; Fundamental Research Funds for the Central Universities, CHD ; National Key R&D Program of China ; National Key R&D Program of China ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; Fundamental Research Funds for the Central Universities, CHD ; Fundamental Research Funds for the Central Universities, CHD ; National Key R&D Program of China ; National Key R&D Program of China ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; Fundamental Research Funds for the Central Universities, CHD ; Fundamental Research Funds for the Central Universities, CHD ; National Key R&D Program of China ; National Key R&D Program of China ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory ; Chinese Academy of Sciences college students innovation practice training program in Shanghai Astronomical Observatory |
| WOS Research Area | Astronomy & Astrophysics |
| WOS Subject | Astronomy & Astrophysics |
| WOS ID | WOS:000614805500001 |
| Publisher | SPRINGER |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.bao.ac.cn/handle/114a11/79667 |
| Collection | 中国科学院国家天文台 |
| Corresponding Author | Xi, Jiangbo; Shao, Zhengyi |
| Affiliation | 1.Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China 2.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 4.Changan Univ, Sch Geol Engn & Geomat, Xian 710054, Shanxi, Peoples R China 5.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China 6.Key Lab Astrophys, 100 Guilin Rd, Shanghai 200234, Peoples R China |
| Recommended Citation GB/T 7714 | Xiang, Yaobing,Xi, Jiangbo,Shao, Zhengyi,et al. Open clusters identifying by multi-scale density feature learning[J]. ASTROPHYSICS AND SPACE SCIENCE,2021,366(2):11. |
| APA | Xiang, Yaobing,Xi, Jiangbo,Shao, Zhengyi,Wang, Min,&Yang, Yun.(2021).Open clusters identifying by multi-scale density feature learning.ASTROPHYSICS AND SPACE SCIENCE,366(2),11. |
| MLA | Xiang, Yaobing,et al."Open clusters identifying by multi-scale density feature learning".ASTROPHYSICS AND SPACE SCIENCE 366.2(2021):11. |
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