Multiple Boris integrators for particle-in-cell simulation
Abstract
The particle-in-cell (PIC) simulation has been extensively used in space plasma physics. In PIC simulation, the Boris method (1970) is a standard method to advance charged particles, due to its accuracy, robustness, and stability. Meanwhile, there is a growing demand for better particle solvers, because numerical errors might be accumulated in long-term PIC simulations. In this contribution, we propose a new family of Boris-type schemes for integrating gyration of charged particles in PIC simulation. The new solvers combine the popular Boris solver arbitrary n times, and therefore we call them the multiple Boris solvers. Using Chebyshev polynomials, a one-step numerical procedure is provided. The new solvers give n**2 times smaller errors and allow larger timesteps. We will also present benchmark results of the multiple Boris solvers and other particle solvers.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFMSM13F3364Z
- Keywords:
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- 1910 Data assimilation;
- integration and fusion;
- INFORMATICS;
- 1942 Machine learning;
- INFORMATICS;
- 2753 Numerical modeling;
- MAGNETOSPHERIC PHYSICS;
- 7924 Forecasting;
- SPACE WEATHER