论文标题
在SDO/AIA304Å图像中自动检测到的突出爆发目录
A Catalog of Prominence Eruptions Detected Automatically in the SDO/AIA 304 Å Images
论文作者
论文摘要
我们使用这些事件的目录对304ÅPass频段中太阳能动力学天文台（SDO）的大气成像组件（AIA）通常成像进行了对突出喷发（PE）的统计研究。使用作为LWS项目的一部分而开发的算法，我们已经在2010年5月以来以2分钟的节奏检测到了304Å的天气图像。这些PES的目录可在线提供（https://cdaw.gsfc.nasa.nasa.gov/cme_list/autope/）。 304Å图像被极性转换，并除以背景图（一天内强度最小的像素）以使比率图在肢体上方。突出区域定义为像素，比例为$ \ ge $ 2。两个超过50％像素重叠的突出区域被认为是相同的突出区域。如果在5个连续图像中单调的突出性高度增加，则将其视为爆发。肢体上方看到的所有PE都通过例程检测到，但目录中仅包含$ \ ge $ 15°的PE，以消除极地喷气机和其他小规模质量运动。标识还与Nobeyama RadioHeliograph图像（http://solar.nro.nao.ac.jp/norh/html/prominence/）中的PE进行了交叉检查。目录给出了喷发突出的日期，时间，中央位置角，纬度和宽度。该目录还提供了将SDO/AIA图像与柔软的X射线数据相结合的JavaScript电影的链接，以识别相关的耀斑，并使用SOHO/LASCO C2图像来识别相关的冠状质量弹出。我们检查了PES的统计特性，发现高纬度PE速度随上一个循环的平均极性磁场强度的降低而降低。
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 Å pass band. Using an algorithm developed as part of an LWS project, we have detected PEs in 304 Å 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 Å 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° 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 (http://solar.nro.nao.ac.jp/norh/html/prominence/). 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.
