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Symplectic integrators with adaptive time step applied to runaway electron dynamics

  • Yanyan Shi
  • , Yajuan Sun
  • , Yang He
  • , Hong Qin
  • , Jian Liu

Research output: Contribution to journalArticlepeer-review

Abstract

Studying the dynamics of runaway electrons has theoretical and practical significance. As the system is highly relativistic, multi-scale and nonlinear, accurate and efficient numerical methods with long-term stability are necessary. In this paper, we develop symplectic methods with adaptive time step and discuss the choice of step-size functions in accordance with the simulation problems for runaway electrons. In the implementation, in order to explore the practical impact of runaway electron dynamics, we use the electromagnetic field and some parameters often used in the study of plasma problems. Numerical results show that the new derived symplectic methods with adaptive time step exhibit good invariant-preserving property and superior stability over longtime integration. Moreover, with appropriate adaptive technique, the numerical efficiency in simulations is improved apparently. They are illustrated in the numerical experiments.

Original languageEnglish (US)
Pages (from-to)1295-1309
Number of pages15
JournalNumerical Algorithms
Volume81
Issue number4
DOIs
StatePublished - Aug 1 2019

All Science Journal Classification (ASJC) codes

  • Applied Mathematics

Keywords

  • Adaptive time step
  • Runaway electrons
  • Symplectic methods

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