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A Non-Linear Magnetic Field Calibration Method for Filter-Based Magnetographs by Multilayer Perceptron
Guo, Jingjing1,2; Bai, Xianyong1; Deng, Yuanyong1; Liu, Hui3; Lin, Jiaben1; Su, Jiangtao1; Yang, Xiao1; Ji, Kaifan3
2020-01-09
Source PublicationSOLAR PHYSICS
ISSN0038-0938
Volume295Issue:1Pages:18
AbstractFor filter-based magnetographs, the linear calibration method under the weak-field assumption is usually adopted; this leads to magnetic saturation effect in the regions with strong magnetic field. This article explores a new method to overcome the above disadvantage using a multilayer perceptron network, which we call MagMLP, based on a back-propagation algorithm with one input layer, five hidden layers, and one output layer. We use the data from the Spectropolarimeter (SP) on board Hinode to simulate single-wavelength observations for the model training, and take into account the influence of the Doppler velocity field and the filling factor. The training results show that the linear fitting coefficient (LFC) of the transverse field reaches above 0.91, and that of the longitudinal field is above 0.98. The generalization of the models is good because the corresponding LFCs are above 0.9 for the test subsets. Compared with the linear calibration method, the MagMLP is much more effective on dealing with the magnetic saturation effect. Analyzing an active region, the results of the linear calibration present an evident magnetic saturation effect in the umbra regions; the corresponding systematic error reaches values greater than 1000 G in most areas, or even exceeds 2000 G at some pixels. However, the results of MagMLP at these locations are very close to the inversion results, and the systematic errors are basically within 300 G. In addition, we find that there are many "bright spots" and "dark spots" on the inclination angle images from the inversion results of Hinode/SP with values of 180 and 0 degrees, respectively, where the inversion is not reliable and does not produce a good result; the MagMLP handles these points well.
KeywordMagnetic fields Calibration Machine learning Multilayer perceptron
Funding OrganizationChinese Academy of Sciences ; Chinese Academy of Sciences ; Strategic Priority Research Program on Space Science ; Strategic Priority Research Program on Space Science ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Beijing Municipal Science and Technology ; Beijing Municipal Science and Technology ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Strategic Priority Research Program on Space Science ; Strategic Priority Research Program on Space Science ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Beijing Municipal Science and Technology ; Beijing Municipal Science and Technology ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Strategic Priority Research Program on Space Science ; Strategic Priority Research Program on Space Science ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Beijing Municipal Science and Technology ; Beijing Municipal Science and Technology ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Strategic Priority Research Program on Space Science ; Strategic Priority Research Program on Space Science ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Beijing Municipal Science and Technology ; Beijing Municipal Science and Technology
DOI10.1007/s11207-019-1573-9
WOS KeywordINVERSION ; TELESCOPE ; VECTOR
Language英语
Funding ProjectChinese Academy of Sciences[XDA15320300] ; Chinese Academy of Sciences[XDA15320302] ; Chinese Academy of Sciences[XDA15052200] ; Chinese Academy of Sciences[XDA15010800] ; Strategic Priority Research Program on Space Science ; National Natural Science Foundation of China (NSFC)[11873027] ; National Natural Science Foundation of China (NSFC)[11773072] ; National Natural Science Foundation of China (NSFC)[11427803] ; National Natural Science Foundation of China (NSFC)[11427901] ; National Natural Science Foundation of China (NSFC)[11773040] ; National Natural Science Foundation of China (NSFC)[11573012] ; National Natural Science Foundation of China (NSFC)[11833010] ; National Natural Science Foundation of China (NSFC)[11973056] ; National Natural Science Foundation of China (NSFC)[11873062] ; National Natural Science Foundation of China (NSFC)[11703042] ; Beijing Municipal Science and Technology[Z181100002918004]
Funding OrganizationChinese Academy of Sciences ; Chinese Academy of Sciences ; Strategic Priority Research Program on Space Science ; Strategic Priority Research Program on Space Science ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Beijing Municipal Science and Technology ; Beijing Municipal Science and Technology ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Strategic Priority Research Program on Space Science ; Strategic Priority Research Program on Space Science ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Beijing Municipal Science and Technology ; Beijing Municipal Science and Technology ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Strategic Priority Research Program on Space Science ; Strategic Priority Research Program on Space Science ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Beijing Municipal Science and Technology ; Beijing Municipal Science and Technology ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Strategic Priority Research Program on Space Science ; Strategic Priority Research Program on Space Science ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Beijing Municipal Science and Technology ; Beijing Municipal Science and Technology
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000511861000001
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/54054
Collection中国科学院国家天文台
Corresponding AuthorJi, Kaifan
Affiliation1.Chinese Acad Sci, Natl Astron Observ, Key Lab Solar Act, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 10049, Peoples R China
3.Chinese Acad Sci, Yunnan Observ, Kunming 650216, Yunnan, Peoples R China
Recommended Citation
GB/T 7714
Guo, Jingjing,Bai, Xianyong,Deng, Yuanyong,et al. A Non-Linear Magnetic Field Calibration Method for Filter-Based Magnetographs by Multilayer Perceptron[J]. SOLAR PHYSICS,2020,295(1):18.
APA Guo, Jingjing.,Bai, Xianyong.,Deng, Yuanyong.,Liu, Hui.,Lin, Jiaben.,...&Ji, Kaifan.(2020).A Non-Linear Magnetic Field Calibration Method for Filter-Based Magnetographs by Multilayer Perceptron.SOLAR PHYSICS,295(1),18.
MLA Guo, Jingjing,et al."A Non-Linear Magnetic Field Calibration Method for Filter-Based Magnetographs by Multilayer Perceptron".SOLAR PHYSICS 295.1(2020):18.
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