Advanced Numerical Tools for Studying Waves and Instabilities in Kappa Distributed Plasmas
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2021Metadata
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López, Rodrigo A.
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Advanced Numerical Tools for Studying Waves and Instabilities in Kappa Distributed Plasmas
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Abstract
In this chapter we focus on the recent progress made on numerical analysis
and tools facilitating the investigation of dispersion and stability of anisotropic
Kappa distributed plasmas. Plasma waves and fluctuations are directly dependent
on the non-thermal features of the particle velocity distributions, and understanding
their properties is a primary goal, especially for collision-poor plasmas where
physical processes are conditioned by the wave-particle interactions. Numerical dispersion solvers are developed to resolve complex (integral) dispersion relations
and decode the full spectra of stable or unstable modes, but, traditionally, limited
to idealized (bi-)Maxwellian representation of plasma populations. Here we discuss
the advanced dispersion solvers recently developed for magnetized plasmas with
anisotropic Kappa populations (e.g., bi-Kappa, combined or not with drifts), and
compare their capabilities. The implication of these numerical solvers was extended
to quasi-linear (QL) studies of kinetic instabilities, providing a complete description
of their saturation as well as the relaxation of anisotropic populations.We will also
emphasize the progress made in numerical simulations using different techniques,
e.g., Vlasov or Particle-In-Cell (PIC) codes, to capture suprathermal effects in
the initial Kappa distributions. Some illustrative cases of kinetic instabilities are
considered to describe capabilities of these new codes, and compare the simulations
with the results provided by the linear and QL numerical solvers.
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URI: https://repositorio.uchile.cl/handle/2250/194549
DOI: https://doi.org/10.1007/978-3-030-82623-9_9
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En: Lazar, M., Fichtner, H. (eds) Kappa distributions: from observational evidences via controversial predictions to a consistent theory of nonequilibrium plasmas. Cham: Springer, 2021. pp 163–184 ISBN 978-3-030-82623-9
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