基于概率霍夫变换的太阳射电Ⅲ和Ⅱ型暴自动识别及参数提取

Automatic Identification and Parameter Extraction of Solar Type Ⅲ and Ⅱ Radio Burst Based on Probabilistic Hough Transform

耀斑和日冕物质抛射(Coronal Mass Ejection, CME)期间的非热高能粒子流和激波是产生灾害性空间天气事件的两个主要因素,它们主要的观测特征分别是具有快速频率漂移的射电Ⅲ型暴和具有较为缓慢频率漂移的射电Ⅱ型暴。主要介绍了使用概率霍夫变换(Probabilistic Hough Transform)方法,在观测数据中自动识别太阳射电Ⅲ型暴和Ⅱ型暴,并提取射电Ⅲ和Ⅱ型暴的特征参数,最后利用识别出的射电Ⅱ型暴的物理参数估计了日冕物质抛射激波的速度。

Nonthermal energetic particle flow and shock wave generated during flares and coronal mass ejection are the two main factors that produce disastrous space weather events. Their main observational characteristics are type Ⅲ radio burst with fast frequency drift feature and type Ⅱ radio burst with relatively slow frequency drift feature. This paper mainly introduces the method of using the probabilistic Hough transform to automatically identify the solar type Ⅲ and type Ⅱ radio burst in the observation data, and to extract the characteristic parameters of the type Ⅲ and type Ⅱ radio burst, finally the velocity of the CME shock wave is estimated by using the physical parameters of the identified radio type II bursts.