Structure-preserving particle-in-cell simulations of ponderomotive barriers
POSTER
Abstract
New advances have enabled the development of spectrally-tunable structure-preserving PIC algorithms that are unprecedentedly flexible, affording greater generality in the simulation domain and more finely optimized discrete modeling of differential equations. In this work, we investigate the utility of such an algorithm in the modeling of a ponderomotive barrier [1-3]---recently proposed as a mechanism to improve selective confinement in linear aneutronic fusion devices. In general, the nonthermal, non-collisional plasmas required for aneutronic fusion must be sustained by some means of "phase space engineering", often involving wave-particle interactions. Structure-preserving algorithms, which exactly conserve the Poincare invariants of a phase space, are uniquely equipped to model such effects [4].
*This work was supported by ARPA-E Grant No. DE-AR0001554.
Publication: [1] T. Rubin, J.M. Rax, and N.J. Fisch, "Magnetostatic ponderomotive potential in rotating plasma", Phys. Plasmas 30, 052501 (2023).
[2] T. Rubin, J.M. Rax, and N.J. Fisch, "Guiding center motion for particles in a ponderomotive magnetostatic end plug", J. Plasma Phys. 89(6), 905890615 (2023).
[3] I.E. Ochs and N.J. Fisch, "Critical role of isopotential surfaces for magnetostatic ponderomotive forces", Phys. Rev. E, 108(6), 065210 (2023).
[4] Qin, H. "Advanced fuel fusion, phase space engineering, and structure-preserving geometric algorithms", Phys. Plasmas 31, 050601 (2024).
Presenters
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Alexander S Glasser
- Princeton Plasma Physics Laboratory