NANANov 4, 2014

Comparison of Integrators for Electromagnetic Particle in Cell Methods: Algorithms and Applications

arXiv:1411.08161 citations
Originality Synthesis-oriented
AI Analysis

For computational plasma physicists, this work provides a comparative analysis of integrators, but it is incremental as it reviews known methods without introducing new algorithms or achieving breakthrough results.

This paper compares different integrators for electromagnetic particle-in-cell methods, focusing on conservation properties (symplecticity, energy, charge) and convergence behavior. Numerical experiments evaluate the exactness of various schemes, but no concrete performance numbers are provided.

In this paper, we present different types of integrators for electro-magnetic particle-in-cell (PIC) methods. While the integrator is an important tool of the PIC methods, it is necessary to characterize the different conservation approaches of the integrators, e.g. symplecticity, energy- or charge-conservation. We discuss the different principles, e.g. composition, filtering, explicit and implicit ideas. While, particle in cell methods are well-studied, the combination between the different parts, i.e. pusher, solver and approximations are hardly to analyze. we concentrate on choosing the optimal pusher component, with respect to conservation and convergence behavior. We discuss oscillations of the pusher component, strong external magnetic fields and optimal conservation of energy and momentum. The algorithmic ideas are discussed and numerical experiments compare the exactness of the different schemes. An outlook to overcome the different error components is discussed in the future works.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes