High order interpolation of magnetic fields with vector potential reconstruction for particle simulations
Journal Article
·
· Computer Physics Communications
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
We propose a method for interpolating divergence-free continuous magnetic fields via vector potential reconstruction using Hermite interpolation, which ensures high-order continuity for applications requiring adaptive, high-order ordinary differential equation (ODE) integrators, such as the Dormand-Prince method. The method provides C(m) continuity and achieves high-order accuracy, making it particularly suited for particle trajectory integration and Poincaré section analysis under optimal integration order and timestep adjustments. Through numerical experiments, we demonstrate that the Hermite interpolation method preserves volume and continuity, which are critical for conserving toroidal canonical momentum and magnetic moment in guiding center simulations, especially over long-term trajectory integration. Furthermore, we analyze the impact of insufficient derivative continuity on Runge-Kutta schemes and show how it degrades accuracy at low error tolerances, introducing discontinuity-induced truncation errors. Lastly, we demonstrate performant Poincaré section analysis in two relevant settings of field data collocated from finite element meshes.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- National Energy Research Scientific Computing Center (NERSC); USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities (SUF)
- Grant/Contract Number:
- 89233218CNA000001; AC02-05CH11231
- OSTI ID:
- 2574841
- Report Number(s):
- LA-UR--24-33348
- Journal Information:
- Computer Physics Communications, Journal Name: Computer Physics Communications Vol. 316; ISSN 0010-4655
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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