基于三维区域标记对太阳活动区低色球层亮点的统计分析?

研究太阳活动能量的统计分布,以探索日冕物质加热的物理机制.利用一种基于三维区域标记的算法,使用"日出"卫星拍摄的低色球层λ3968.5单色像时间序列,观测一个处于衰减阶段且爆发频繁的活动区,对多个数量级尺度的亮点进行识别和统计.获得了2.09×104个亮点样本,分析了太阳耀斑基本物理量的频数分布与幂律的关系,以及影响该分布的观测效应.数据分析的主要结果如下:1)低色球层亮点的尺度、面积、光通量服从幂律分布.2)寿命的频数在中等时标呈幂律分布,在长时标呈指数分布;大尺度亮点的等待时间符合指数分布.3)亮点发生率的信噪比随其尺度的增加而减小;小尺度亮点持续的产生有可能向日冕稳定地提供能量.4)微小尺度亮点的频数低于幂律分布,相当程度上受观测数据的低时间分辨率所造成的低采样率影响.

Distribution of low-chromospheric brightpoints in a solar active region as observed by region-labeling

Frequency distribution of solar energy in the low-chromosphere was investigated in the present work,mechanisms for heating solar corona was probed.Time series ofλ3968.5 filtergrams acquired by the Hinode observatory was used,a delaying active region was observed and a sample of 2.09×104 bright points (BP)was analyzed.A feature recognition algorithm based on 3-dimensional region-labeling was developed for the identification of BP.Frequency distribution of BP size,area,and light flux virtually was found to observe the power-law.Frequency of BP lifetime is piecewise.The middle section conforms to power-law while the high end is exponential.Distribution of large BP waiting time is exponential.The signal-to-noise ratio of BP production is inversely proportional to BP size.Small-size BP could be a stable source of energy for heating corona.Small-size BP density is lower than expected by power-law,probably due to decreased sampling rate in the time series.