Data-Driven Representations of Ion-Kinetic Distribution Functions

Trevor A. Bowen, Benjamin D.G. Chandran, Kristopher G. Klein, Alfred Mallet, Stuart D. Bale, Jonathan Squire, Jaye Verniero

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Collisionless processes, such as wave particle interactions, are key to understanding the energy transfer in plasma environments. While collisional interactions are known to result in a distribution of particle velocities close to a thermal Maxwell-Boltzmann distribution, wave-particle interactions produce distribution functions that may diverge significantly from thermal equilibrium. Correct measurement and representation of non-thermal features is key to understanding the collisionless wave-particle interactions and how they shape plasma distributions. Here, we present and expand on methods (Polynomial interpolation, radial basis functions) used to approximate ion distribution functions observed by Parker Solar Probe. These non-parametric representations of the observed distributions can be used to understand instability growth rates and resonant heating of the solar wind plasma.

Original languageEnglish (US)
Title of host publication2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789463968096
DOIs
StatePublished - 2023
Event35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023 - Sapporo, Japan
Duration: Aug 19 2023Aug 26 2023

Publication series

Name2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023

Conference

Conference35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
Country/TerritoryJapan
CitySapporo
Period8/19/238/26/23

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Instrumentation

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