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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; Zhou, XuZhi (xzzhou@pku.edu.cn)
Department空间环境部
Source PublicationScience China Technological Sciences
2017
Pages1-6
ISSN1674-7321
Language英语
AbstractInteraction 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. © 2017 Science China Press and Springer-Verlag Berlin Heidelberg
Indexed BySCI ; EI ; CSCD
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Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/5733
Collection空间环境部
Corresponding AuthorZhou, XuZhi (xzzhou@pku.edu.cn)
Recommended Citation
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,2017:1-6.
APA Li, Li.,Zhou, XuZhi.,Zong, QiuGang.,Chen, XingRan.,Zou, Hong.,...&Zhou, XuZhi .(2017).Ultralow frequency wave characteristics extracted from particle data: Application of IGSO observations.Science China Technological Sciences,1-6.
MLA Li, Li,et al."Ultralow frequency wave characteristics extracted from particle data: Application of IGSO observations".Science China Technological Sciences (2017):1-6.
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