Hybrid particle-spectral method for kinetic plasma simulations

Author:

Chapurin Oleksandr1ORCID,Koshkarov Oleksandr1ORCID,Delzanno Gian Luca1ORCID,Roytershteyn Vadim2ORCID,Brady Peter3ORCID,Chiodi Robert3ORCID,Harnish Cale3ORCID,Livescu Daniel3ORCID

Affiliation:

1. T-5 Applied Mathematics and Plasma Physics Group, Los Alamos National Laboratory 1 , Los Alamos, New Mexico 87545, USA

2. Space Science Institute 2 , Boulder, Colorado 80301, USA

3. CCS-2 Computational Physics and Methods Group, Los Alamos National Laboratory 3 , Los Alamos, New Mexico 87545, USA

Abstract

A hybrid model for numerical solutions of the Vlasov–Poisson equations is presented, which blends spectral and particle approaches. The model splits the distribution function for plasma species into both spectral and particle representations in the velocity space to combine the advantages of each approach. The spectral representation leverages asymmetrically weighted Hermite basis, whereas the particle representation leverages the particle-in-cell method. Configuration phase space is decomposed with the Fourier method, which is well suited for periodic problems. We derive conservation equations for mass, momentum, and energy for the proposed combined method. It is shown that the coupling error between the two methods is absent in the semi-discrete setting (not taking into account time discretization). Finally, numerical test cases are presented simulating a weak electron beam interaction with plasma, leading to beam–plasma instability. The initially localized electron beam evolved into a highly non-equilibrium distribution function in the velocity space. A small growth rate and the resonance nature of instability make it difficult to obtain accurate solutions for purely particle methods due to noise, which falls as ∼1/Np with a number of particles. At the same time, purely spectral methods may require a large number of modes to capture the highly non-equilibrium state of the evolved beam. We show that the hybrid method is well suited for such problems: it reproduces the linear stage as well as nonlinear dynamics with sufficient accuracy using a highly non-equilibrium distribution function.

Funder

Laboratory Directed Research and Development

Publisher

AIP Publishing

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