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English(EN) Explainable Prediction of High-Speed Solar Wind Streams driven by Coronal Holes via Topological Data Analysis

拓扑数据分析预测日冕洞产生的太阳风流

研究人员开发了一种新颖的方法,利用拓扑数据分析来预测源自日冕洞的高速太阳风流。通过分析极端紫外线太阳图像的拓扑结构,该系统可以提前四天预测这些流到达地球的发生。这种方法不明确使用日冕洞的几何描述符,提供了一种透明且计算效率高的方式来理解日冕结构拓扑与后续太阳风活动之间的关系。 AI

影响 这项研究展示了拓扑数据分析在空间天气预测方面的新应用,有望提高地磁事件的预测准确性。

排序理由 该集群包含一篇详细介绍新研究方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

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拓扑数据分析预测日冕洞产生的太阳风流

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该集群包含一篇详细介绍新研究方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Francesco Marchetti, Sabrina Guastavino, Daniel Collin ·

    基于拓扑数据分析的可解释性预测:日冕洞驱动的高速太阳风流

    arXiv:2610.35549v1 Announce Type: cross Abstract: High-speed solar wind streams (HSSs) originating from coronal holes (CHs) are an important driver of recurrent geomagnetic activity. Since HSSs are associated to coronal structures visible in extreme-ultraviolet observations, this…