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DOI码：10.1007/s11075-019-00739-1

发表刊物：Numerical Algorithms

摘要：Gyrocenter dynamics of charged particles plays a fundamental and important role in plasma physics, which requires accuracy and conservation in a long-time simulation. Variational symplectic algorithms and canonicalized symplectic algorithms have been developed for gyrocenter dynamics. However, variational symplectic methods are always unstable, and canonicalized symplectic methods need coordinates transformation case by case, which is usually difficult to find. Based on the fact that the Hamiltonian function describing the energy of the system is invariant, we develop energy-preserving algorithms for gyrocenter dynamics systematically using the discrete gradient method. The given integrators have significant advantages in preserving energy and efficiency over long-time simulations, compared with non-symplectic methods and canonicalized symplectic algorithms.

合写作者：Ruili Zhang,Jian Liu*,Hong Qin,Yifa Tang

论文类型：期刊论文

学科门类：理学

卷号：81

期号：4

页面范围：1521-1530

是否译文：否

发表时间：2019-06-09

收录刊物：ISTP、SCI

发布期刊链接：https://link.springer.com/article/10.1007/s11075-019-00739-1