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A fast inversion method of parameters for contact binaries based on differential evolution
Zeng, X.1,4; Song, J.1,2,3; Zheng, S.1,4; Xu, G.5; Zeng, S.1,4; Wang, Y.6; Esamdin, A.6; Huang, Y.1,4; Xia, S.1,2,3; Huang, J.1,4
2024-04-01
Source PublicationASTRONOMY AND COMPUTING
ISSN2213-1337
Volume47Pages:100799
Contribution Rank6
AbstractWith the development of modern astronomical observation techniques and contact binary research, a large number of light curves of contact binaries have been published, and it has become a challenge to quickly derive the basic physical parameters of contact binaries from their light curves. This article presents a neural network (NN) based on the differential evolution intelligent optimization algorithm to infer the fundamental physical parameters of contact binaries from their light curve. Based on a large dataset of light curves and parameter data generated by Phoebe, a NN mapping model is established, while Differential Evolution (DE) and Markov Chain Monte Carlo (MCMC) algorithms are used to find reasonable parameter combinations, respectively. The experiments show that the parameter inversion speed of the DE algorithm is approximately 50% faster than that of the MCMC algorithm, while guaranteeing a parameter accuracy at least consistent with the those of MCMC algorithm.
KeywordNeural network Differential evolution Contact binary
DOI10.1016/j.ascom.2024.100799
Indexed BySCI
Language英语
WOS KeywordLIGHT
Funding ProjectNational Natural Science Foundation of China[12203029] ; National Natural Science Foundation of China[U2031202] ; National Key R&D program of China[2022YFE0126200]
WOS Research AreaAstronomy & Astrophysics ; Computer Science
WOS SubjectAstronomy & Astrophysics ; Computer Science, Interdisciplinary Applications
WOS IDWOS:001185536200001
PublisherELSEVIER
Funding OrganizationNational Natural Science Foundation of China ; National Key R&D program of China
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.xao.ac.cn/handle/45760611-7/5947
Collection中国科学院新疆天文台
Corresponding AuthorZeng, X.; Zeng, S.
Affiliation1.China Three Gorges Univ, Ctr Astron & Space Sci, Yichang 443002, Peoples R China
2.China Three Gorges Univ, Key Lab Intelligent Vis Based Monitoring Hydroelec, Yichang 443002, Hubei, Peoples R China
3.China Three Gorges Univ, Sch Comp Sci, Yichang 443002, Hubei, Peoples R China
4.China Three Gorges Univ, Coll Sci, Yichang 443002, Hubei, Peoples R China
5.Natl Key Lab Scattering & Radiat, Beijing 100854, Peoples R China
6.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Peoples R China
Recommended Citation
GB/T 7714
Zeng, X.,Song, J.,Zheng, S.,et al. A fast inversion method of parameters for contact binaries based on differential evolution[J]. ASTRONOMY AND COMPUTING,2024,47:100799.
APA Zeng, X..,Song, J..,Zheng, S..,Xu, G..,Zeng, S..,...&Huang, J..(2024).A fast inversion method of parameters for contact binaries based on differential evolution.ASTRONOMY AND COMPUTING,47,100799.
MLA Zeng, X.,et al."A fast inversion method of parameters for contact binaries based on differential evolution".ASTRONOMY AND COMPUTING 47(2024):100799.
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