The inverse problem for collisionless plasma equilibria
O. Allanson, S. Troscheit, T. Neukirch

TL;DR
This paper addresses the inverse problem in collisionless plasma equilibria, developing a mathematical framework using Weierstrass transforms and Hermite polynomial expansions to determine self-consistent particle distributions from macroscopic plasma data.
Contribution
It introduces a novel approach to the inverse problem for collisionless plasma equilibria using constants of motion, Weierstrass transforms, and Hermite expansions, extending previous methods to magnetized plasmas.
Findings
Conditions for convergence of Hermite polynomial solutions
Framework for non-negative distribution functions in plasma equilibria
Extension of inverse problem techniques to magnetized plasmas
Abstract
Vlasov-Maxwell equilibria are described by the self-consistent solutions of the time-independent Maxwell equations for the real-space dynamics of electromagnetic fields, and the Vlasov equation for the phase-space dynamics of particle distributions in a collisionless plasma. These two systems (macroscopic and microscopic) are coupled via the source terms in Maxwell's equations, which are sums of velocity-space 'moment' integrals of the particle distribution function. This paper considers 'the inverse problem for collisionless equilibria' (IPCE), viz. "given information regarding the real-space/macroscopic configuration of a specific collisionless plasma equilibrium, what self-consistent equilibrium distributions exist?" We develop the constants of motion approach to IPCE using the assumptions of a 'modified Maxwellian' distribution function, and a strictly neutral and spatially…
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Taxonomy
TopicsMagnetic confinement fusion research · Ionosphere and magnetosphere dynamics · Solar and Space Plasma Dynamics
