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黑子周围光球亮点的特征提取与比较

发布时间:2018-05-08 13:53

  本文选题:太阳 + 光球 ; 参考:《天文学报》2015年05期


【摘要】:光球亮点是位于米粒暗径中的小尺度发亮结构,普遍认为它是千高斯磁流管的足点.采用云南澄江抚仙湖1 m新真空太阳望远镜(New Vacuum Solar Telescope,NVST)在Ti O波段的NOAA 11598观测数据,研究黑子周围光球亮点的特性变化.首先识别黑子,通过形态学膨胀技术把黑子外围划分为4个环形区域,然后采用一个结合了拉普拉斯与形态学技术的自动算法识别亮点,并在三维时空立方体中跟踪亮点的演化,最后研究了4个环形区域中亮点的特性变化,包括密度、强度、面积、形状和速度.统计结果和假设检验均表明位于黑子外围不同区域的光球亮点的密度、等效直径和速度明显受黑子强磁场的影响,其峰值不在最靠近黑子的区域,而是位于第2个区域,并随着远离黑子,其密度减小,直径减小而速度增加;最大强度比总体呈现出逐渐减小的趋势;而形状基本没有变化,与所处的区域无关.
[Abstract]:The bright spot of the optical sphere is a small-scale luminous structure located in the dark diameter of the grain, which is generally considered to be the foot point of the magnetic flux tube of Thousand Gao Si. In this paper, the NOAA 11598 data of 1 m Vacuum Solar Telescope1 from Fuxian Lake, Chengjiang, Yunnan Province, are used to study the characteristics of the bright spots around sunspots. First of all, the sunspot is identified, the periphery of the sunspot is divided into four ring regions by morphological expansion technique, and then an automatic algorithm combining Laplace and morphology is used to identify the bright spot. The evolution of bright spots is followed in three-dimensional spatio-temporal cubes. Finally, the characteristics of bright spots in four annular regions, including density, intensity, area, shape and velocity, are studied. The statistical results and hypothesis tests show that the density, equivalent diameter and velocity of the bright spots located in different regions around the sunspot are obviously affected by the strong magnetic field of the sunspot, and the peak value is not in the region closest to the sunspot, but in the second region. Along with the distance away from the sunspot, the density decreases, the diameter decreases and the velocity increases; the maximum intensity ratio shows a decreasing trend in general; and the shape has no change and is independent of the region in which it is located.
【作者单位】: 昆明理工大学信息工程与自动化学院;
【基金】:国家自然科学基金项目(11303011,11263004,11463003,11163004,U1231205)资助
【分类号】:P182.41

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2 刘鹏;何雯;肖巍巍;;基于GPGPU技术快速提取数字表面模型[J];测绘地理信息;2014年02期

3 吴s,

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