论文标题
自动检测太阳能轨道/EUI观察到的小型EUV亮度
Automatic detection of small-scale EUV brightenings observed by the Solar Orbiter/EUI
论文作者
论文摘要
语境。准确检测频繁的小型极端紫外线（EUV）亮丽对于研究加热电晕的物理过程至关重要。目标。我们使用其形态和强度结构在冠状EUV成像观测值中观察到的形态和强度结构检测到了小规模的亮度，称为篝火。方法。我们应用了一种基于Zernike矩和支持向量机分类器的方法，以自动识别和跟踪太阳轨道/Extreme Ultraviolet Imager（EUI）和SDO/AIA观察到的篝火。结果。该方法从50个高分辨率EUV望远镜（HRIEUV）174Å图像中检测到8678篝火（长度在400 km至4000 km之间）。从涵盖与EUI相同视野的同时AIA图像附近的21张图像中，我们发现了1131个篝火，其中58％在HRIEUV图像中也被检测到。相比之下，AIA检测到了HRIEUV中大约16％的篝火。我们获得2*10-16m-2s-1的篝火出生率。在至少两个Hrieuv图像中观察到，大约40％的篝火持续时间超过5 s。我们发现在冠状明亮点发现了27％的篝火，其余73％发生在冠状明亮点。我们检测到23个EUI篝火，持续时间大于245 s。我们发现，大约80％的篝火是在超晶界形成的，并且在网络连接处产生了最高的总强度的特征，而EUI/hrilya观察到了强烈的H I Lyman-α发射区。篝火的总强度，峰强度和投影面积的概率分布均遵循2到3之间的绝对指标的权力法行为。这种自相似的行为是篝火形成过程中的自我组织的可能签名，甚至是自组织的临界。
Context. Accurate detections of frequent small-scale extreme ultraviolet (EUV) brightenings are essential to the investigation of the physical processes heating the corona. Aims. We detected small-scale brightenings, termed campfires, using their morphological and intensity structures as observed in coronal EUV imaging observations for statistical analysis. Methods. We applied a method based on Zernike moments and a support vector machine classifier to automatically identify and track campfires observed by Solar Orbiter/Extreme Ultraviolet Imager (EUI) and SDO/AIA. Results. This method detected 8678 campfires (with length scales between 400 km and 4000 km) from a sequence of 50 High Resolution EUV telescope (HRIEUV) 174Å images. From 21 near co-temporal AIA images covering the same field of view as EUI, we found 1131 campfires, 58% of which were also detected in HRIEUV images. In contrast, about 16% of campfires recognized in HRIEUV were detected by AIA. We obtain a campfire birthrate of 2*10-16m-2s-1. About 40% of campfires show a duration longer than 5 s, having been observed in at least two HRIEUV images. We find that 27% of campfires were found in coronal bright points and the remaining 73% have occurred out of coronal bright points. We detected 23 EUI campfires with a duration greater than 245 s. We found that about 80% of campfires are formed at supergranular boundaries, and the features with the highest total intensities are generated at network junctions and intense H I Lyman-α emission regions observed by EUI/HRILya. The probability distribution functions for the total intensity, peak intensity, and projected area of campfires follow a power law behavior with absolute indices between 2 and 3. This self-similar behavior is a possible signature of self-organization, or even self-organized criticality, in the campfire formation process.
