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Updated: Jan 26, 2026

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耀斑数据库:太阳周期24和25中的重大耀斑数据库,包括SDO/HMI和SDO/AIA观测
Nian Liu1,2, Yasser Abduallah3,4, Tanmay Sunil Kapure3,4
1Institute for Space Weather Sciences, New Jersey Institute of Technology, University Heights, Newark, NJ, 07102-1982, USA. nian.liu@njit.edu.
Scientific data
|January 24, 2026
概括
FlareDB提供了全面的太阳耀斑数据集,包括磁场和UV/EUV排放,有助于预测太阳耀斑. 这种机器学习准备好的数据库支持太阳物理研究.
科学领域:
- 太阳物理 太阳物理
- 太空天气研究 空间天气研究
- 天体物理学 天体物理学
背景情况:
- 太阳耀斑和冠状质量喷射对太空技术构成风险.
- 预测太阳爆发需要详细的太阳活动区域数据.
研究的目的:
- 介绍FlareDB,一个用于太阳耀斑研究的新型数据库.
- 为机器学习驱动的太阳爆发预测提供全面的数据.
主要方法:
- 2010年5月至2025年5月期间从太阳动力观测站 (SDO) 收集的数据.
- 使用SunPy处理数据,以标准化的FITS格式存储.
- 包括M5.0+耀斑在太阳盘中心50°以内.
主要成果:
- FlareDB包含151个重要的太阳耀斑的磁场,UV/EUV辐射和白光连续图像.
- 数据包括对齐的大气成像组件 (AIA) 和地震和磁性成像仪 (HMI) 补丁.
- 快速查看的电影和可下载的数据集提高了用于大火焰分析的可用性.
结论:
- FlareDB为太阳耀斑和喷发研究提供了一个有价值的,机器学习准备的资源.
- 该数据库促进了对太阳爆发的预测和理解的研究.
- FlareDB支持太空天气预报的发展.
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