arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2006.09082astro-ph.SRastro-ph.IM
收藏

一个新的100年太阳暗条综合数据集。I

A New Comprehensive Data Set of Solar Filaments of 100 yr Interval. I

GangHua Lin, GaoFei Zhu, Xiao Yang, YongLiang Song, Mei Zhang, Suo Liu, XiaoFan Wang, JiangTao Su, Sheng Zheng, JiaFeng Zhang, DongYi Tao, ShuGuang Zeng, HaiMin… 展开作者

GangHua Lin, GaoFei Zhu, Xiao Yang, YongLiang Song, Mei Zhang, Suo Liu, XiaoFan Wang, JiangTao Su, Sheng Zheng, JiaFeng Zhang, DongYi Tao, ShuGuang Zeng, HaiMin Wang, Chang Liu, Yan Xu

摘要:

暗条是太阳上非常普遍的物理现象,常被认为是太阳磁场活动的重要指标。暗条的研究已成为空间天气研究的热点。为了更全面地了解暗条,特别是了解多个太阳活动周的太阳活动,有必要通过构建多个太阳活动周的数据集来进行组合的多特征分析。为了实现这一目标,我们构建了一个百年数据集,涵盖了来自世界各地的五个天文台的H $α$数据。在数据集建设过程中,由于数据来源多、时间跨度大,遇到了数据融合、太阳边缘的准确确定、数据质量分类、动态阈值等问题。但幸运的是,这些问题都得到了很好的解决。该数据集包括七类数据产品和八类特征参数,可以实现数据检索和统计分析功能。它具有连续性好、与空间观测数据互补性强的特点,特别是在空间观测未覆盖的波长上,覆盖了多个太阳周期(包括60年以上的高踏频数据)。我们希望这个新的综合数据集以及工具将帮助研究人员显着加快他们对感兴趣的特征或事件的搜索,无论是出于统计还是案例研究的目的,并可能帮助他们更好,更全面地了解太阳灯丝机制。

英文摘要:

Filaments are very common physical phenomena on the Sun and are often taken as important proxies of solar magnetic activities. The study of filaments has become a hot topic in the space weather research. For a more comprehensive understanding of filaments, especially for an understanding of solar activities of multiple solar cycles, it is necessary to perform a combined multifeature analysis by constructing a data set of multiple solar cycle data. To achieve this goal, we constructed a centennial data set that covers the H$α$ data from five observatories around the world. During the data set construction, we encountered varieties of problems, such as data fusion, accurate determination of the solar edge, classifying data by quality, dynamic threshold, and so on, which arose mainly due to multiple sources and a large time span of data. But fortunately, these problems were well solved. The data set includes seven types of data products and eight types of feature parameters with which we can implement the functions of data searching and statistical analyses. It has the characteristics of better continuity and highly complementary to space observation data, especially in the wavelengths not covered by space observations, and covers many solar cycles (including more than 60 yr of high-cadence data). We expect that this new comprehensive data set as well as the tools will help researchers to significantly speed up their search for features or events of interest, for either statistical or case study purposes, and possibly help them get a better and more comprehensive understanding of solar filament mechanisms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑