Canonical symplectic particle-in-cell method for long-term large-scale simulations of the Vlasov-Maxwell equations

Hong Qin, Jian Liu, Jianyuan Xiao, Ruili Zhang, Yang He, Yulei Wang, Yajuan Sun, Joshua W. Burby, Leland Ellison, Yao Zhou

Research output: Contribution to journalArticlepeer-review

80 Scopus citations

Abstract

Particle-in-cell (PIC) simulation is the most important numerical tool in plasma physics. However, its long-term accuracy has not been established. To overcome this difficulty, we developed a canonical symplectic PIC method for the Vlasov-Maxwell system by discretising its canonical Poisson bracket. A fast local algorithm to solve the symplectic implicit time advance is discovered without root searching or global matrix inversion, enabling applications of the proposed method to very large-scale plasma simulations with many, e.g. 109, degrees of freedom. The long-term accuracy and fidelity of the algorithm enables us to numerically confirm Mouhot and Villani's theory and conjecture on nonlinear Landau damping over several orders of magnitude using the PIC method, and to calculate the nonlinear evolution of the reflectivity during the mode conversion process from extraordinary waves to Bernstein waves.

Original languageEnglish (US)
Article number014001
JournalNuclear Fusion
Volume56
Issue number1
DOIs
StatePublished - Dec 2 2016

All Science Journal Classification (ASJC) codes

  • Nuclear and High Energy Physics
  • Condensed Matter Physics

Keywords

  • canonical symplectic algorithm
  • particle-in-cell simulations
  • VlasovMaxwell equations

Fingerprint

Dive into the research topics of 'Canonical symplectic particle-in-cell method for long-term large-scale simulations of the Vlasov-Maxwell equations'. Together they form a unique fingerprint.

Cite this