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

• DOI: 10.1007/s11431-016-0702-4
• Publication Date: 2017-01-05T15:11:02Z
• Authors: Li Li; XuZhi Zhou; QiuGang Zong; XingRan Chen; Hong Zou; Jie Ren; YiXin Hao; XianGuo Zhang
• Keywords: 2. Zero hunger; 0103 physical sciences; 7. Clean energy; 01 natural sciences; 0105 earth and related environmental sciences

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.