Bulletin of the American Physical Society
60th Annual Meeting of the APS Division of Plasma Physics
Volume 63, Number 11
Monday–Friday, November 5–9, 2018; Portland, Oregon
Session TP11: Poster Session VII: Basic Plasma Physics: Pure Electron Plasma, Strongly Coupled Plasmas, Self-Organization, Elementary Processes, Dusty Plasmas, Sheaths, Shocks, and Sources; Mini-conference on Nonlinear Waves and Processes in Space Plasmas - Posters; MHD and Stability, Transients (2), Runaway Electrons; NSTX-U; Spherical Tokamaks; Analytical and Computational Techniques; Diagnostics (9:30am-12:30pm)
Thursday, November 8, 2018
OCC
Room: Exhibit Hall A1&A
Abstract ID: BAPS.2018.DPP.TP11.129
Abstract: TP11.00129 : A Multi-Scale Time Integration Method for Kinetic Simulations*
Presenter:
Benjamin Sturdevant
(Princeton Plasma Physics Laboratory)
Authors:
Benjamin Sturdevant
(Princeton Plasma Physics Laboratory)
Scott Edward Parker
(University of Colorado at Boulder)
Robert Hager
(Princeton Plasma Physics Laboratory)
C-S Chang
(Princeton Plasma Physics Laboratory)
Julien Dominski
(Princeton Plasma Physics Laboratory)
Seung-Hoe Ku
(Princeton Plasma Physics Laboratory)
We report progress developing a kinetic multi-scale time integration method based on equation-free projective integration [1]. Here, a fully resolved kinetic simulation is performed over a short time interval to produce a history of fluid moments. The moments are then extrapolated over a large time step and used in initializing a subsequent kinetic simulation to repeat the process. This enables long timescale simulations without the need for coupling to transport equations. A method for “lifting” fluid moments to a distribution function has been developed based on transforming a previous time step distribution function using polynomials in the velocity space variables. This method is implemented in XGCa and is demonstrated to eliminate spurious transients, which were present for previous lifting operators. When the fluid moments are extrapolated over too large of a time step however, inaccuracies may excite fast time scale modes. This imposes a constraint on the extrapolation time step size, limiting the computational gains that can be achieved. We explore advanced extrapolation methods and constraints on the fluid moments to mitigate this effect. [1] I. G. Kevrekidis et. al., Comm Math Sci, 1(4), 715, (2003).
*Work funded by the ECP using computational resources from NERSC.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DPP.TP11.129
Follow Us |
Engage
Become an APS Member |
My APS
Renew Membership |
Information for |
About APSThe American Physical Society (APS) is a non-profit membership organization working to advance the knowledge of physics. |
© 2024 American Physical Society
| All rights reserved | Terms of Use
| Contact Us
Headquarters
1 Physics Ellipse, College Park, MD 20740-3844
(301) 209-3200
Editorial Office
100 Motor Pkwy, Suite 110, Hauppauge, NY 11788
(631) 591-4000
Office of Public Affairs
529 14th St NW, Suite 1050, Washington, D.C. 20045-2001
(202) 662-8700