Effect of Topside Plasma Density Profiles on VLF Transmitted Power Distribution and Energetic Particle Diffusion in the Plasmasphere

Mathematics – Logic

Scientific paper

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2481 Topside Ionosphere, 2487 Wave Propagation (0689, 3285, 4275, 4455, 6934), 2716 Energetic Particles: Precipitating, 2768 Plasmasphere, 7867 Wave/Particle Interactions (2483, 6984)

Scientific paper

Anthropogenic electromagnetic radiation in the very low frequency (VLF) band (3-30 kHz) is present throughout the near-Earth region of space known as the plasmasphere. These waves interact with energetic particles (0.5 MeV) in the inner radiation belts, leading to enhanced pitch-angle scattering, diffusion into the loss cone and eventual precipitation into the upper atmosphere. Since particles of these energies can produce substantial damage to satellites in low-Earth orbit, understanding the detailed physics of this region is critical. Geometric raytracing is used to propagate an initial distribution of VLF radiation near the surface of the Earth throughout near-Earth space out to the plasmapause, located at L ~ 5. For a fixed magnetic field geometry, the raytracing equations depend on gradients in the local index of refraction, which in turn depends on the local magnetic field and plasma density distributions. The wave- particle resonance condition, which is needed to compute the energetic particle diffusion coefficients, also depends on the magnetic fields and density distributions. For this work, a phenomenological diffusive equilibrium ionosphere/plasmasphere density model has been constructed and tuned to provide different slopes and magnitudes of the plasma density in the topside ionosphere-plasmasphere transition region. VLF raytracing has been performed and the resulting power and k- vector distributions derived through spatial binning. Finally, diffusion coefficients for several representative particle energies and L-shells have been computed. A brief description of the modeling techniques is presented as well as a comparison of the results for different instances of the density models.

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