Ultralow frequency wave characteristics extracted from particle data: Application of IGSO observations
文献类型:期刊论文
作者 | Li, Li; Zhou, XuZhi; Zong, QiuGang; Chen, XingRan; Zou, Hong; Ren, Jie; Hao, YiXin; Zhang, XianGuo |
刊名 | Science China Technological Sciences
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出版日期 | 2017 |
页码 | 1-6 |
ISSN号 | 1674-7321 |
通讯作者 | Zhou, XuZhi (xzzhou@pku.edu.cn) |
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. © 2017 Science China Press and Springer-Verlag Berlin Heidelberg |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.nssc.ac.cn/handle/122/5733] ![]() |
专题 | 国家空间科学中心_空间环境部 |
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,2017:1-6. |
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,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. |
入库方式: OAI收割
来源:国家空间科学中心
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