Direct evidence for EMIC wave scattering of relativistic electrons in space

Abstract

Electromagnetic ion cyclotron (EMIC) waves have been proposed to cause efficient losses of highly relativistic (>1 MeV) electrons via gyroresonant interactions. Simultaneous observations of EMIC waves and equatorial electron pitch angle distributions, which can be used to directly quantify the EMIC wave scattering effect, are still very limited, however. In the present study, we evaluate the effect of EMIC waves on pitch angle scattering of ultrarelativistic (>1 MeV) electrons during the main phase of a geomagnetic storm, when intense EMIC wave activity was observed in situ (in the plasma plume region with high plasma density) on both Van Allen Probes. EMIC waves captured by Time History of Events and Macroscale Interactions during Substorms (THEMIS) probes and on the ground across the Canadian Array for Real‐time Investigations of Magnetic Activity (CARISMA) are also used to infer their magnetic local time (MLT) coverage. From the observed EMIC wave spectra and local plasma parameters, we compute wave diffusion rates and model the evolution of electron pitch angle distributions. By comparing model results with local observations of pitch angle distributions, we show direct, quantitative evidence of EMIC wave‐driven relativistic electron losses in the Earth's outer radiation belt.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 01, 2016
Source ID
10.1002/2016ja022521

Entities

People

  • Craig Kletzing
  • Daniel N. Baker
  • Geoffrey D Reeves
  • George G. Hospodarsky
  • Harlan Spence
  • J. B. Blake
  • J. Bortnik
  • Joseph F. Fennell
  • Larry Chen
  • Qianli Ma
  • R. M. Thorne
  • V. Angelopoulos
  • Wen Li
  • William S. Kurth
  • Xiao-Jia Zhang

Organizations

  • Air Force Office of Scientific Research
  • Los Alamos National Laboratory
  • National Aeronautics and Space Administration
  • New Mexico Consortium
  • The Aerospace Corporation
  • University of California, Los Angeles
  • University of Iowa
  • University of New Hampshire
  • University of Texas at Dallas

Tags

Fields of Study

  • Physics

Readers

  • Plasma Physics / Magnetohydrodynamics
  • Space/Atmospheric Physics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Microelectronics
  • Space
  • Space - Hall-Effect Thruster