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Evolution of the marker distribution in gyrokinetic $δf$ particle-in-cell simulations

Journal Article · · Physics of Plasmas
DOI:https://doi.org/10.1063/5.0097207· OSTI ID:1979111

The evolution of the particle weight in a δf particle-in-cell simulation depends on the marker distribution that can evolve in a turbulent field due to turbulent diffusion. When Monte Carlo methods are used to implement the test particle collision operator, or when the particle motion is not strictly Hamiltonian in a collisionless simulation, the marker distribution will evolve along the particle trajectory and, in general, cannot be known exactly. A two-dimensional numerical marker distribution is proposed as an approximation. It is shown to be advantageous over other common methods for evaluating the marker distribution in long-time turbulence simulations. A generalized two-weight δf-method is proposed to mitigate the marker evolution problem.

Research Organization:
General Atomics, San Diego, CA (United States); University of Colorado, Boulder, CO (United States); University of California, Oakland, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC); USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
SC0017992; SC0018271; AC02-05CH11231
OSTI ID:
1979111
Journal Information:
Physics of Plasmas, Journal Name: Physics of Plasmas Journal Issue: 7 Vol. 29; ISSN 1070-664X
Publisher:
American Institute of Physics (AIP)Copyright Statement
Country of Publication:
United States
Language:
English

References (19)

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Explicit structure-preserving geometric particle-in-cell algorithm in curvilinear orthogonal coordinate systems and its applications to whole-device 6D kinetic simulations of tokamak physics journal April 2021
Foundations of nonlinear gyrokinetic theory journal April 2007

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