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A catalog of prominence eruptions detected automatically in the SDO/AIA 304 Å images
Journal of Atmospheric and Solar-Terrestrial Physics ( IF 1.9 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.jastp.2020.105324
S. Yashiro , N. Gopalswamy , S. Akiyama , P.A. Mӓkelӓ

We report on a statistical study of prominence eruptions (PEs) using a catalog of these events routinely imaged by the Atmospheric Imaging Assembly (AIA) on board the Solar Dynamics Observatory (SDO) in the 304 \r{A} pass band. Using an algorithm developed as part of an LWS project, we have detected PEs in 304 \r{A} synoptic images with 2-min cadence since May 2010. A catalog of these PEs is made available online (https://cdaw.gsfc.nasa.gov/CME_list/autope/). The 304 \r{A} images are polar-transformed and divided by a background map (pixels with minimum intensity during one day) to get the ratio maps above the limb. The prominence regions are defined as pixels with a ratio $\ge$2. Two prominence regions with more than 50% of pixels overlapping are considered the same prominence. If the height of a prominence increases monotonically in 5 successive images, it is considered eruptive. All the PEs seen above the limb are detected by the routine, but only PEs with width $\ge$15{\deg} are included in the catalog to eliminate polar jets and other small-scale mass motions. The identifications are also cross-checked with the PEs identified in Nobeyama Radioheliograph images (this http URL). The catalog gives the date, time, central position angle, latitude, and width of the eruptive prominence. The catalog also provides links to JavaScript movies that combine SDO/AIA images with GOES soft X-ray data to identify the associated flares, and with SOHO/LASCO C2 images to identify the associated coronal mass ejections. We examined the statistical properties of the PEs and found that the high-latitude PE speed decreased with the decreasing of the average polar magnetic field strength of the previous cycle.

中文翻译:

在 SDO/AIA 304 Å 图像中自动检测到的日珥爆发目录

我们使用太阳动力学天文台 (SDO) 上的大气成像组件 (AIA) 在 304 \r{A} 通带中定期成像的这些事件的目录报告了对日珥爆发 (PE) 的统计研究。使用作为 LWS 项目一部分开发的算法,自 2010 年 5 月以来,我们已在 304 \r{A} 幅天气图像中以 2 分钟的节奏检测到 PE。这些 PE 的目录可在线获取 (https://cdaw.gsfc .nasa.gov/CME_list/autope/)。304 幅 \r{A} 图像经过极坐标变换并除以背景图(一天中强度最小的像素)以获得肢体上方的比率图。突出区域被定义为比率为 $\ge$2 的像素。超过 50% 的像素重叠的两个突出区域被认为是相同的突出区域。如果一个日珥的高度在 5 个连续的图像中单调增加,则被认为是喷发。所有在肢体上方看到的PE都被例程检测到,但只有宽度为$\ge$15{\deg}的PE被包含在目录中,以消除极地喷射和其他小尺度质量运动。这些标识还与 Nobeyama Radioheliograph 图像(此 http URL)中标识的 PE 进行了交叉检查。该目录给出了喷发日珥的日期、时间、中心位置角度、纬度和宽度。该目录还提供了 JavaScript 电影的链接,这些电影将 SDO/AIA 图像与 GOES 软 X 射线数据相结合,以识别相关的耀斑,并与 SOHO/LASCO C2 图像相结合,以识别相关的日冕物质抛射。
更新日期:2020-09-01
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