English(EN) A Deep Learning Framework for Predicting Solar EUV Irradiance During Significant Flares

深度学习框架预测耀斑期间的太阳极紫外线辐射

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-23 04:00

研究人员开发了FlareEUV，一个旨在预测每日太阳极紫外线（EUV）辐射的新深度学习框架。该框架利用了NASA太阳动力学天文台（SDO）的多仪器观测数据，特别是来自八个AIA EUV/UV和五个HMI磁场/连续谱产品的数据。FlareEUV采用轻量级的基于注意力机制的架构，学习磁结构与日冕辐射之间的联系，在预测重大太阳耀斑期间的短期EUV辐射方面，其性能优于基线方法。 AI

影响该框架可以改善太阳事件的短期预测，有助于空间天气预报和卫星运行。

排序理由这是一篇详细介绍用于科学应用的新的深度学习框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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arXiv cs.LG TIER_1 English(EN) · Sathvik Soman, Jason T. L. Wang, Haimin Wang, Haodi Jiang · 2026-07-23 04:00

用于预测显著耀斑期间太阳EUV辐射的深度学习框架

arXiv:2607.19597v1 Announce Type: cross Abstract: We present FlareEUV, a multimodal deep learning framework for predicting daily extreme ultraviolet (EUV) irradiance at 6.5 nm over three consecutive days during significant solar flares, using multi-instrument observations from NA…

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用于预测显著耀斑期间太阳EUV辐射的深度学习框架

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