Galilean electromagnetic particle-in-cell code

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Authors: Alexander Pukhov, Nina Elkina, Thomas Wilson
Cited by: 0

Abstract

We introduce a Galilean electromagnetic particle-in-cell (GEM-PIC) algorithm, which transforms the full set of Maxwell equations and the Vlasov equation into the boosted coordinates. This approach preserves the electromagnetic structure of the interaction while exploiting scale separation for computational efficiency. Unlike quasistatic methods, GEM-PIC does not have to distinguish between ”beam” and ”streaming” particles, allowing a self-consistent treatment of particle trapping. The GEM-PIC algorithm allows for highly efficient and accurate simulations of plasma-based wakefield acceleration.

Fields of Study & Subjects

Laser-Plasma Interactions and Diagnostics Particle Accelerators and Free-Electron Lasers Particle accelerators and beam dynamics

Publication details

Journal / source
Journal of Computational Physics
Volume
567
Pages
115331–115331
Publication date
28 August 2026
Language
EN