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Identifying and Tracking Solar Photospheric Bright Points Based on Three-dimensional Segmentation Technology

机译:基于三维分割技术的太阳光球亮点识别与跟踪

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摘要

Photospheric bright points (PBPs) are tiny short-lived brightening phenomena that can be seen within dark inter-granular lanes. In this paper, we develop a new method to identify and track a PBP in a 3D space-time cube. Different from the common-adopted strategy of "identifying-before-tracking", this algorithm is based on the strategy of "identifying-by-tracking". This method can identify a PBP when its intensity is still rather weak, and can avoid the discontinuous evolution of PBP caused by the algorithm of Laplacian morphological dilation (LMD) to recognize completely the evolutionary process of a PBP. The statistics on a group of G-band data observed by Hinode/SOT (Solar Optical Telescope) in quiet regions indicate that the average lifetime of isolated PBP is as long as 3 minutes, and the longest lifetime is up to 27 minutes, which means that the lifetime of PBPs is longer than that obtained by the previous LMD algorithm. Furthermore, it is also found that the mean intensity contrast of PBPs is 1.02 times of the mean photospheric intensity, which is weaker than that calculated by the LMD algorithm, and that the intensity of PBP exhibits a periodical oscillation of 2~3minute during the whole lifetime.
机译:光球亮点(PBP)是微小的短暂增亮现象,可以在黑暗的粒间通道中看到。在本文中,我们开发了一种新的方法来识别和跟踪3D时空立方体中的PBP。与常用的“跟踪识别”策略不同,该算法基于“跟踪识别”策略。该方法可以在强度还很弱时识别PBP,并且可以避免由拉普拉斯形态扩张(LMD)算法完全识别PBP演化过程而引起的PBP的不连续演化。 Hinode / SOT(太阳能望远镜)在安静区域观察到的一组G波段数据的统计数据表明,隔离的PBP的平均寿命长达3分钟,最长的寿命长达27分钟,这意味着PBP的寿命比以前的LMD算法获得的寿命更长。此外,还发现PBP的平均强度对比度是平均光球强度的1.02倍,比LMD算法计算的要弱,并且PBP的强度在整个过程中表现出2〜3分钟的周期性振荡一生。

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