Physics-based adaptivity of a spectral method for the Vlasov-Poisson equations based on the asymmetrically-weighted Hermite expansion in velocity space
Cecilia Pagliantini, Gian Luca Delzanno, Stefano Markidis

TL;DR
This paper introduces an adaptive spectral method for the Vlasov-Poisson equations using asymmetrically-weighted Hermite functions, dynamically adjusting parameters to improve accuracy and stability in plasma simulations.
Contribution
The paper presents a novel adaptive Hermite spectral method with dynamic velocity space discretization for the Vlasov-Poisson system, ensuring conservation and improved numerical performance.
Findings
Adaptive method outperforms non-adaptive in accuracy
Conservation of mass, momentum, energy achieved
Fluid-kinetic coupling is naturally incorporated
Abstract
We propose a spectral method for the 1D-1V Vlasov-Poisson system where the discretization in velocity space is based on asymmetrically-weighted Hermite functions, dynamically adapted via a scaling and shifting of the velocity variable. Specifically, at each time instant an adaptivity criterion selects new values of and based on the numerical solution of the discrete Vlasov-Poisson system obtained at that time step. Once the new values of the Hermite parameters and are fixed, the Hermite expansion is updated and the discrete system is further evolved for the next time step. The procedure is applied iteratively over the desired temporal interval. The key aspects of the adaptive algorithm are: the map between approximation spaces associated with different values of the Hermite parameters that preserves total mass, momentum and energy; and 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.
Taxonomy
TopicsGas Dynamics and Kinetic Theory · Fluid Dynamics and Turbulent Flows · Meteorological Phenomena and Simulations
