太阳射流猎手:一项公民科学计划,旨在识别和描述 304 AA 的日冕射流

S. Musset, P. Jol, R. Sankar, S. Alnahari, C. Kapsiak, E. Ostlund, K. Lasko, L. Glesener, L. Fortson, G.D. Fleishman, K. Navdeep Panesar, Y. Zhang, M. Jeunon, N. Hurlburt
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摘要

在极紫外光(EUV)下看到的太阳日冕喷流在太阳上无处不在,在活跃区的边缘、日冕洞的边界以及安静的太阳中都发现了它们。喷流的形状、大小、亮度、速度和持续时间各不相同,这使得用自动算法探测它们变得复杂。迄今为止,太阳物理学事件知识库(HEK)中报告的太阳喷流大多是由人类在数据中寻找的,其时间和位置的精确度各不相同。我们创建了一个在 304 \EUV观测到的太阳喷流目录,其中包含关于喷流时间、位置和范围的精确一致的信息。我们在Zooniverse平台上设计了一个名为 "太阳喷流猎手 "的公民科学项目,以分析太阳动力学观测站/大气成像组件(SDO/AIA)在304 \处观测到的超紫外线。我们为 HEK 中报告过喷流的太阳区域制作了电影带,并要求志愿者:1)确认数据中至少存在一个喷流;2)报告喷流的时间、位置和范围。我们在此报告该项目的设计以及对 2011 年至 2016 年的数据进行分析后得出的结果。我们注意到,有 365 个来自 HEK 的 "日冕喷流 "事件作为公民科学项目的输入,相当于将超过 12 万张图像分成 9,689 个 "电影带"。通过公民科学家的分类,共识别出 883 个喷流。我们以 "太阳喷流猎手 "为例,展示了公民科学如何加强对太阳数据的分析。由此创建的喷流目录是公开的,将有助于对喷流和相关现象进行统计研究。该目录还将作为训练集,供机器学习识别更多数据集中的喷流。
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Solar Jet Hunter: a citizen science initiative to identify and characterize coronal jets at 304 AA
Solar coronal jets seen in extreme ultraviolet (EUV) are ubiquitous on the Sun, and they have been found in and at the edges of active regions, at the boundaries of coronal holes, and in the quiet Sun. Jets have various shapes, sizes, brightness, velocities, and durations in time, which complicates their detection by automated algorithms. So far, solar jets reported in the Heliophysics Event Knowledgebase (HEK) have been mostly reported by humans looking for them in the data, with different levels of precision regarding their timing and positions. We created a catalog of solar jets observed in EUV at 304 \ containing precise and consistent information on the jet timing, position, and extent. We designed a citizen science project, Solar Jet Hunter, on the Zooniverse platform, to analyze EUV observations at 304 \ from the Solar Dynamic Observatory/Atmospheric Imaging Assembly (SDO/AIA). We created movie strips for regions of the Sun in which jets have been reported in HEK and ask the volunteers to 1) confirm the presence of at least one jet in the data and 2) report the timing, position, and extent of the jet. We report here the design of the project and the results obtained after the analysis of data from 2011 to 2016. We note that 365 "coronal jet" events from HEK served as input for the citizen science project, equivalent to more than 120,000 images distributed into 9,689 "movie strips." Classification by the citizen scientists resulted in 883 individual jets being identified. We demonstrate how citizen science can enhance the analysis of solar data with the example of Solar Jet Hunter. The catalog of jets thusly created is publicly available and will enable statistical studies of jets and related phenomena. This catalog will also be used as a training set for machines to learn to recognize jets in further datasets.
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