Integration of solar flare and coronal mass ejection event data

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Anli Ji , Manolis K. Georgoulis , Berkay Aydin
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引用次数: 0

Abstract

Solar flares and coronal mass ejections are solar transient events that can impact our technological infrastructure in near-Earth and Earth environments. While related, not all flares generate CMEs and there are a limited number of resources that connect CMEs to flares and eventually to their source active regions. We present an integrated solar-flare-to-CME association dataset, along with a multi-step, data-driven spatiotemporal integration methodology for matching solar flares with coronal mass ejections. We perform a confidence-based scoring process that involves spatial and temporal data integration for integrating LASCO CME data to their solar sources. Such process is based on identifying the likely CME candidates with corresponding start and peak times of flares and the first detection time of CMEs. In addition, we check for the locations of flares (within 70 degrees) and CME principal angles as well as the width of each CME to generate spatial connections between instances. Furthermore, we use external association sources to implement a custom verification schema that provides further fidelity to our associations. We also provide an exploratory analysis demonstrating the number of associations generated after the integration. With this data resource, we connect the coronal mass ejections to their source active regions and generate a high-utility solar eruption labeling schema.
太阳耀斑和日冕物质抛射事件数据的整合
太阳耀斑和日冕物质抛射是太阳瞬态事件,可以影响我们在近地和地球环境中的技术基础设施。虽然相关,但并非所有的耀斑都会产生日冕物质抛射,并且将日冕物质抛射与耀斑并最终与它们的源活跃区域联系起来的资源有限。我们提出了一个集成的太阳耀斑到cme关联数据集,以及一个多步骤、数据驱动的时空集成方法,用于匹配太阳耀斑与日冕物质抛射。我们执行一个基于信心的评分过程,包括空间和时间数据整合,将LASCO CME数据整合到他们的太阳能来源。这一过程的基础是确定与耀斑开始和峰值时间相对应的CME候选者,以及CME的首次探测时间。此外,我们检查耀斑的位置(70度以内)和CME主角以及每个CME的宽度,以生成实例之间的空间联系。此外,我们使用外部关联源来实现自定义验证模式,从而进一步保证我们的关联的保真度。我们还提供了一个探索性分析,展示了集成后生成的关联数量。利用这一数据资源,我们将日冕物质抛射与其源活跃区域联系起来,并生成一个高实用的太阳喷发标记模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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