Rapid inversion method for parameters of contact binaries based on intelligent optimization algorithms
文献类型：期刊论文
| 作者 | Zeng, Xiangyun1,5; Li, Yubo1,5; He, Huiling1,5; Zheng, Sheng1,5; Xu, Gaogui2; Chang, Zhengxue3; Zhang, Rongjun5; Esamdin, Ali4 |
| 刊名 | NEW ASTRONOMY
 |
| 出版日期 | 2026-05-01 |
| 卷号 | 124页码:102511 |
| 关键词 | Neural network Differential evolution Contact binary |
| ISSN号 | 1384-1076 |
| DOI | 10.1016/j.newast.2025.102511 |
| 产权排序 | 5 |
| 英文摘要 | Extensive research on contact binaries has led to the publication of a significant number of light curves. key challenge now is efficiently deriving the fundamental physical parameters of contact binaries from these light curves. This paper presents a method that combines a deep learning-based light curve generative model with Differential Evolution (DE) to rapidly derive these parameters. The method utilizes a neural network directly link the physical parameters of contact binaries to their light curves. The DE and Markov Chain Monte Carlo (MCMC) methods are used separately to explore optimal parameter combinations. Experimental results show that the DE method is approximately 90% faster than the MCMC method in parameter inversion, while maintaining higher precision. |
| WOS关键词 | ECLIPSING BINARIES ; LIGHT ; I. |
| 资助项目 | National Natural Science Foundation of China[12203029] ; National Natural Science Foundation of China[12303027] ; National Key R&D program of China for Intergovernmental Scientific and Technological Innovation Cooperation Project[2022YFE0126200] ; Hubei Natural Science Foundation[2025AFB551] ; Tian-shan Talent Training Program[2023TSYCLJ0053] |
| WOS研究方向 | Astronomy & Astrophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:001641621400001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; National Key R&D program of China for Intergovernmental Scientific and Technological Innovation Cooperation Project ; Hubei Natural Science Foundation ; Tian-shan Talent Training Program |
| 源URL | [http://ir.xao.ac.cn/handle/45760611-7/8423]  |
| 专题 | 光学天文与技术应用研究室_变星研究团组 |
| 通讯作者 | Zeng, Xiangyun; He, Huiling; Chang, Zhengxue |
| 作者单位 | 1.China Three Gorges Univ, Coll Math & Phys, Yichang 443002, Hubei, Peoples R China 2.Natl Key Lab Scattering & Radiat, Beijing 100854, Peoples R China 3.Handan Univ, Coll Math & Phys, Handan 056005, Peoples R China 4.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Peoples R China 5.China Three Gorges Univ, Ctr Astron & Space Sci, Yichang 443002, Hubei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zeng, Xiangyun,Li, Yubo,He, Huiling,et al. Rapid inversion method for parameters of contact binaries based on intelligent optimization algorithms[J]. NEW ASTRONOMY,2026,124:102511. |
| APA | Zeng, Xiangyun.,Li, Yubo.,He, Huiling.,Zheng, Sheng.,Xu, Gaogui.,...&Esamdin, Ali.(2026).Rapid inversion method for parameters of contact binaries based on intelligent optimization algorithms.NEW ASTRONOMY,124,102511. |
| MLA | Zeng, Xiangyun,et al."Rapid inversion method for parameters of contact binaries based on intelligent optimization algorithms".NEW ASTRONOMY 124(2026):102511. |
入库方式： OAI收割
来源：新疆天文台
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