Neural network classification of eigenmodes in the magnetohydrodynamic spectroscopy code Legolas

J. De Jonghe, M. D. Kuczyński*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

A neural network is employed to address a non-binary classification problem of plasma instabilities in astrophysical jets, calculated with the Legolas code. The trained models exhibit reliable performance in the identification of the two instability types supported by these jets. We also discuss the generation of artificial data and refinement of predictions in general eigenfunction classification problems.
Original languageEnglish
Pages (from-to)5955–5964
Number of pages10
JournalNeural Computing and Applications
Volume36
Early online date16 Jan 2024
DOIs
Publication statusPublished - 16 Jan 2024

Keywords

  • Magnetohydrodynamics
  • Eigenproblem
  • Neural network
  • Supervised learning
  • Classification

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