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Deep Learning for Automatic Recognition of Magnetic Type in Sunspot Groups
Fang, Yuanhui; Cui, Yanmei; Ao, Xianzhi
Department空间环境部
Source PublicationADVANCES IN ASTRONOMY
2019
Volume2019Pages:9196234
DOI10.1155/2019/9196234
ISSN1687-7969
Language英语
AbstractSunspots are darker areas on the Sun's photosphere and most of solar eruptions occur in complex sunspot groups. The Mount Wilson classification scheme describes the spatial distribution of magnetic polarities in sunspot groups, which plays an important role in forecasting solar flares. With the rapid accumulation of solar observation data, automatic recognition of magnetic type in sunspot groups is imperative for prompt solar eruption forecast. We present in this study, based on the SDO/HMI SHARP data taken during the time interval 2010-2017, an automatic procedure for the recognition of the predefined magnetic types in sunspot groups utilizing a convolutional neural network (CNN) method. Three different models (A, B, and C) take magnetograms, continuum images, and the two-channel pictures as input, respectively. The results show that CNN has a productive performance in identification of the magnetic types in solar active regions (ARs). The best recognition result emerges when continuum images are used as input data solely, and the total accuracy exceeds 95%, for which the recognition accuracy of Alpha type reaches 98% while the accuracy for Beta type is slightly lower but maintains above 88%.
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Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7245
Collection空间环境部
Recommended Citation
GB/T 7714
Fang, Yuanhui,Cui, Yanmei,Ao, Xianzhi. Deep Learning for Automatic Recognition of Magnetic Type in Sunspot Groups[J]. ADVANCES IN ASTRONOMY,2019,2019:9196234.
APA Fang, Yuanhui,Cui, Yanmei,&Ao, Xianzhi.(2019).Deep Learning for Automatic Recognition of Magnetic Type in Sunspot Groups.ADVANCES IN ASTRONOMY,2019,9196234.
MLA Fang, Yuanhui,et al."Deep Learning for Automatic Recognition of Magnetic Type in Sunspot Groups".ADVANCES IN ASTRONOMY 2019(2019):9196234.
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