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Lorentz covariant canonical symplectic algorithms for dynamics of charged particles

机译:用于带电粒子动力学的Lorentz协变正则辛算法

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摘要

In this paper, the Lorentz covariance of algorithms is introduced. Under Lorentz transformation, both the form and performance of a Lorentz covariant algorithm are invariant. To acquire the advantages of symplectic algorithms and Lorentz covariance, a general procedure for constructing Lorentz covariant canonical symplectic algorithms (LCCSAs) is provided, based on which an explicit LCCSA for dynamics of relativistic charged particles is built. LCCSA possesses Lorentz invariance as well as long-term numerical accuracy and stability, due to the preservation of a discrete symplectic structure and the Lorentz symmetry of the system. For situations with time-dependent electromagnetic fields, which are difficult to handle in traditional construction procedures of symplectic algorithms, LCCSA provides a perfect explicit canonical symplectic solution by implementing the discretization in 4-spacetime. We also show that LCCSA has built-in energy-based adaptive time steps, which can optimize the computation performance when the Lorentz factor varies. Published by AIP Publishing.
机译:本文介绍了算法的洛伦兹协方差。在Lorentz变换下,Lorentz协变算法的形式和性能都是不变的。为了获得辛算法和洛伦兹协方差的优点,提供了构造洛伦兹协变规范辛辛算法(LCCSA)的通用程序,在此基础上建立了用于相对论带电粒子动力学的显式LCCCA。由于保留了离散辛结构和系统的Lorentz对称性,LCCSA具有Lorentz不变性以及长期的数值准确性和稳定性。对于具有时变电磁场的情况,这些情况在辛算法的传统构造过程中难以处理,因此LCCSA通过在4时空中实现离散化来提供完美的显式正则辛解决方案。我们还表明,LCCCA具有内置的基于能量的自适应时间步长,当洛伦兹因子变化时,它可以优化计算性能。由AIP Publishing发布。

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