Predicting the evolution of photospheric magnetic field in solar active regions using deep learning

来源 :天文和天体物理学研究:英文版 | 被引量 : 0次 | 上传用户：mmxxmm333

【摘要】

：

The continuous observation of the magnetic field by the Solar Dynamics Observatory(SDO)/Helioseismic and Magnetic Imager(HMI)produces numerous image sequences i

【作者】

：

白亮毕以杨波洪俊超徐喆尚振宏刘辉季海生季凯帆

【机构】

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FacultyofInformationEngineeringandAutomation,YunnanObservatories,PurpleMountainObservatory,YunnanKey

【出处】

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天文和天体物理学研究:英文版

【发表日期】

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2021年5期

【关键词】

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methods:data analysis Sun:magnetic fields spatiotemporal prediction recurrent ne

【基金项目】

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This study is supported by the National Natural Science Foundation of China(Grant Nos.12073077,11873027,U2031140,11773072 and 12063002)。

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The continuous observation of the magnetic field by the Solar Dynamics Observatory(SDO)/Helioseismic and Magnetic Imager(HMI)produces numerous image sequences in time and space.These sequences provide data support for predicting the evolution of photosphe

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Predicting the evolution of photospheric magnetic field in solar active regions using deep learning

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