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arXiv 2608.24458physics.space-phastro-ph.SR

借助SOLER项目工具开展的太阳爆发综合分析

Comprehensive solar eruption analyses enabled by the tools of the SOLER project

Nina Dresing, Jan Gieseler, Markus Baumgartner-Steinleitner, Carine Briand, Karin Dissauer, Annamaria Fedeli, Robert Jarolim, Jaclyn T. Lang, Diana E. Morosan, … 展开作者

Nina Dresing, Jan Gieseler, Markus Baumgartner-Steinleitner, Carine Briand, Karin Dissauer, Annamaria Fedeli, Robert Jarolim, Jaclyn T. Lang, Diana E. Morosan, Jake A. J Mitchell, Christian Palmroos, Jens Pomoell, Jinge Zhang, Otso Santala, Astrid M. Veronig, Laura Vuorinen, Alexander Warmuth, Oliver Flor, Myrthe Flossie, Emilia K. J. Kilpua, Werner Pötzi, Daniel J. Price, Antonio Gomes, Emil J. Hotti, Ruth A. Hyndman, M. Liebel, Amaia Razquin, Song Tan, Ramio Vainio

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中文总结 AI 辅助

本文介绍SOLER项目开发的太阳爆发综合分析基础设施,说明其软件获取与使用方法,给出工具组合应用的用例,助力用户开展太阳爆发的综合分析。

中文摘要 AI 辅助

太阳爆发包含多种现象,如耀斑、日冕物质抛射(CMEs)、大尺度日冕波、射电暴以及在行星际空间传播的高能粒子。这些现象通过多种仪器观测,包括遥感和原位探测器。要全面理解太阳爆发,通常需要分析各种不同的数据集,包括众多分析和建模工具以及广泛的专业知识。通常,这样的综合分析只能由一支熟练且知识广博的团队完成。高能太阳爆发:数据与分析工具(SOLER)项目旨在创建一个用于研究太阳爆发的综合分析平台,让单个用户能够轻松应用分析方法,应对太阳事件的各种对应现象。因此,项目的每个合作伙伴都开发了基于Python的软件,包括Jupyter Notebook形式的接口,这些接口提供了应用示例和简洁的逐步文档。本文介绍了SOLER项目开发的综合太阳爆发分析基础设施,说明了软件的获取途径、使用方法,并给出了选定工具组合使用的专用用例示例。

英文摘要

Solar eruptions comprise of a multitude of phenomena such as flares, coronal mass ejections (CMEs), large-scale coronal waves, radio bursts, and energetic particles traveling through interplanetary space. These phenomena are observed with a variety of instrumentation, including remote sensing and in-situ detectors. Obtaining a global understanding of a solar eruption often requires the analysis of various of these different datasets, including a multitude of analysis and modeling tools and a wide range of expertise. Usually, such a comprehensive analysis can only be achieved by a skilled and broad team. The Energetic Solar Eruptions: Data and Analysis Tools (SOLER) project aims at creating a comprehensive analysis platform for the study of solar eruptions that allows a single user to easily apply analysis methods addressing various counterparts of the solar event. Therefore, each partner of the project developed Python-based software, including interfaces in the form of Jupyter Notebooks, which provides application examples and concise step-to-step documentation. In this paper we introduce the comprehensive solar-eruption-analysis infrastructure developed within the SOLER project. We explain where to find the software, how to use it, and give dedicated use-case examples of how to employ selected tools in a combined manner.

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