Ultralow frequency wave characteristics extracted from particle data:   Application of IGSO observations

doi:10.1007/s11431-016-0702-4

CORC > 北京大学 > 地球与空间科学学院

	Ultralow frequency wave characteristics extracted from particle data: Application of IGSO observations
	Li, Li ; Zhou, XuZhi ; Zong, QiuGang ; Chen, XingRan ; Zou, Hong ; Ren, Jie ; Hao, YiXin ; Zhang, XianGuo
刊名	SCIENCE CHINA-TECHNOLOGICAL SCIENCES
	2017
关键词	ultralow frequency waves wave-particle interactions drift resonance ULF wave characteristics ALLEN RADIATION BELTS GEOMAGNETIC-PULSATIONS ULF WAVES MAGNETOSPHERE ELECTRONS BEHAVIOR PROBES THEMIS
DOI	10.1007/s11431-016-0702-4
英文摘要	Interaction between ultralow frequency (ULF) waves and charged particles plays an important role in the acceleration of particles in the Van Allen radiation belts. The strong wave-particle interaction predicts an energy-dependent observational signature of particle flux variations during different stages of the ULF wave evolution. In this paper, we find that the energetic particle data newly available from an IGSO spacecraft are quite consistent with theoretical predictions, which enables the application of a best-fit procedure to quantitatively extract key parameters of the ULF waves from the particle data. The general agreement between observations and the best-fit results validates the scenario of wave-particle drift resonance within the entire ULF life span, and provides a new technique to understand the ULF wave characteristics in the absence of electromagnetic field data. We also examine the minor differences between observations and the best-fit results, and propose that the differences may result from a longitudinal dependence of the ULF wave power to be considered in a future study.; National Natural Science Foundation of China [41421003, 41474140]; SCI(E); 中国科学引文数据库(CSCD); ARTICLE; 3; 419-424; 60
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/474889]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Li, Li,Zhou, XuZhi,Zong, QiuGang,et al. Ultralow frequency wave characteristics extracted from particle data: Application of IGSO observations[J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES,2017.
APA	Li, Li.,Zhou, XuZhi.,Zong, QiuGang.,Chen, XingRan.,Zou, Hong.,...&Zhang, XianGuo.(2017).Ultralow frequency wave characteristics extracted from particle data: Application of IGSO observations.SCIENCE CHINA-TECHNOLOGICAL SCIENCES.
MLA	Li, Li,et al."Ultralow frequency wave characteristics extracted from particle data: Application of IGSO observations".SCIENCE CHINA-TECHNOLOGICAL SCIENCES (2017).