Controlling the Numerical Cerenkov Instability in PIC simulations using a customized finite difference Maxwell solver and a local FFT based current correction
Fei Li, Peicheng Yu, Xinlu Xu, Frederico Fiuza, Viktor K. Decyk,, Thamine Dalichaouch, Asher Davidson, Adam Tableman, Weiming An, Frank S., Tsung, Ricardo A. Fonseca, Wei Lu, Warren B. Mori

TL;DR
This paper introduces a customized finite-difference Maxwell solver with local FFT current correction that effectively eliminates the numerical Cerenkov instability in PIC simulations of relativistically drifting plasmas, improving accuracy and scalability.
Contribution
A novel customized FDTD Maxwell solver with higher order spatial derivatives and local FFT-based current correction to suppress NCI in relativistic PIC simulations.
Findings
Eliminates main NCI modes for moderate wave numbers.
Maintains physical accuracy by filtering out aliasing NCI modes.
Demonstrates effectiveness in various plasma simulation scenarios.
Abstract
In this paper we present a customized finite-difference-time-domain (FDTD) Maxwell solver for the particle-in-cell (PIC) algorithm. The solver is customized to effectively eliminate the numerical Cerenkov instability (NCI) which arises when a plasma (neutral or non-neutral) relativistically drifts on a grid when using the PIC algorithm. We control the EM dispersion curve in the direction of the plasma drift of a FDTD Maxwell solver by using a customized higher order finite difference operator for the spatial derivative along the direction of the drift ( direction). We show that this eliminates the main NCI modes with moderate , while keeps additional main NCI modes well outside the range of physical interest with higher . These main NCI modes can be easily filtered out along with first spatial aliasing NCI modes which are also at the edge of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
