Evolution of the marker distribution in gyrokinetic $δf$ particle-in-cell simulations
- University of Colorado, Boulder, CO (United States); OSTI
- University of Colorado, Boulder, CO (United States)
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
Similar Records
A new hybrid-Lagrangian numerical scheme for gyrokinetic simulation of tokamak edge plasma
A new hybrid-Lagrangian numerical scheme for gyrokinetic simulation of tokamak edge plasma