TL;DR
This paper introduces a systematic minimization approach to optimize Maxwell solvers in FDTD methods, significantly reducing numerical dispersion and improving accuracy in simulating electromagnetic phenomena.
Contribution
It presents a novel norm-based optimization method for selecting coefficients in modified Yee-type schemes, enhancing phase and group velocity accuracy.
Findings
Reduced numerical dispersion in optimized schemes
Closer approximation of phase velocity to the speed of light
Effective application demonstrated in particle-in-cell simulations
Abstract
The finite-difference time-domain (FDTD) method is a well established method for solving the time evolution of Maxwell's equations. Unfortunately the scheme introduces numerical dispersion and therefore phase and group velocities which deviate from the correct values. The solution to Maxwell's equations in more than one dimension results in non-physical predictions such as numerical dispersion or numerical Cherenkov radiation emitted by a relativistic electron beam propagating in vacuum. Improved solvers, which keep the staggered Yee-type grid for electric and magnetic fields, generally modify the spatial derivative operator in the Maxwell-Faraday equation by increasing the computational stencil. These modified solvers can be characterized by different sets of coefficients, leading to different dispersion properties. In this work we introduce a norm function to rewrite the choice of…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
