Hamiltonian Particle-in-Cell methods for Vlasov-Poisson equations
Anjiao Gu, Yang He, Yajuan Sun

TL;DR
This paper introduces Hamiltonian Particle-in-Cell methods for the Vlasov-Poisson equations that preserve the system's geometric structure and conservation laws, enhancing simulation accuracy and efficiency.
Contribution
It develops Poisson bracket preserving discretizations based on finite element methods and splitting techniques for the Vlasov-Poisson system.
Findings
Methods preserve Poisson structure and conserved quantities.
Numerical experiments demonstrate efficiency and accuracy.
Parallel computing enhances large-scale simulations.
Abstract
In this paper, Particle-in-Cell algorithms for the Vlasov-Poisson system are presented based on its Poisson bracket structure. The Poisson equation is solved by finite element methods, in which the appropriate finite element spaces are taken to guarantee that the semi-discretized system possesses a well defined discrete Poisson bracket structure. Then, splitting methods are applied to the semi-discretized system by decomposing the Hamiltonian function. The resulting discretizations are proved to be Poisson bracket preserving. Moreover, the conservative quantities of the system are also well preserved. In numerical experiments, we use the presented numerical methods to simulate various physical phenomena. Due to the huge computational effort of the practical computations, we employ the strategy of parallel computing. The numerical results verify the efficiency of the new derived…
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