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Scattering of Relativistic and Ultra-relativistic Electrons by Obliquely Propagating Electromagnetic Ion Cyclotron Waves

Authors

Uzbekov,  Bogdan
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Shprits,  Yuri
2.3 Earth's Magnetic Field, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Orlova,  Ksenia
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1649895.pdf
(Postprint), 370KB

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Citation

Uzbekov, B., Shprits, Y., Orlova, K. (2016): Scattering of Relativistic and Ultra-relativistic Electrons by Obliquely Propagating Electromagnetic Ion Cyclotron Waves. - Journal of Atmospheric and Solar-Terrestrial Physics, 148, 22-31.
https://doi.org/10.1016/j.jastp.2016.08.004


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1649895
Abstract
Electromagnetic Ion Cyclotron (EMIC) waves are transverse plasma waves that are generated in the Earth magnetosphere by ring current protons with temperature anisotropy in three different bands: below the H+H+, He+He+ and O+O+ ion gyrofrequencies. EMIC events are enhanced during the main phase of a geomagnetic storm when intensifications in the electric field result in enhanced injections of ions and are usually confined to high-density regions just inside the plasmapause or within drainage plumes. EMIC waves are capable of scattering radiation belt electrons and thus provide an important link between the intensification of the electric field, ion populations, and radiation belt electrons. Bounce-averaged diffusion coefficients computed with the assumption of parallel wave propagation are compared to the results of the code that uses the full cold plasma dispersion relation taking into account oblique propagation of waves and higher-order resonances. We study the sensitivity of the scattering rates to a number of included higher-order resonances, wave spectral distribution parameters, wave normal angle distribution parameters, ambient plasma density, and ion composition. Inaccuracies associated with the neglect of higher-order resonances and oblique propagation of waves are compared to potential errors introduced by uncertainties in the model input parameters.