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 TO8: Plasma Acceleration: Computation, Beam Driven, Mid-IR lasers
9:30 AM–12:30 PM,
Thursday, November 8, 2018
OCC
Room: C120-122
Chair: Jessica Shaw, Laboratory for Laser Energetics, Rochester, NY
Abstract ID: BAPS.2018.DPP.TO8.1
Abstract: TO8.00001 : Implementation of a Finite Difference Algorithm into QuickPIC*
9:30 AM–9:42 AM
Presenter:
Fei Li
(Univ of California - Los Angeles)
Authors:
Fei Li
(Univ of California - Los Angeles)
Weiming An
(Univ of California - Los Angeles)
Lance Hildebrand
(Univ of California - Los Angeles)
Yujian Zhao
(Univ of California - Los Angeles)
Viktor K Decyk
(Univ of California - Los Angeles)
Warren B Mori
(Univ of California - Los Angeles)
The 3D parallel quasi-static PIC code, QuickPIC [1-3], has been widely used for making discoveries in plasma-based accelerator (PBA) research for many years. The current code is written based on the full spectral (FFT) algorithm framework of UPIC [4,5]. We report on a recent update to QuickPIC where an option for using a finite difference (FD) algorithm has been implemented. In this presentation, we will show the comparison between FD and the full spectral method for PBA simulations. The implementation of FD algorithm lays the foundation for many other improvements of QuickPIC planned in the future, including the parallelization of the 2D part of the code using a multi-dimensional partition, a multigrid Poisson solver, and mesh (static and adaptive) refinement.
[1] C. Huang et al., J. Comp. Phys. 217, 658 (2006).
[2] W. An et al., J. Comp. Phys. 250, 165 (2013).
[3] https://github.com/UCLA-Plasma-Simulation-Group/QuickPIC-OpenSource
[4] V. K. Decyk, Computer Phys. Comm. 177, 95 (2007).
[5] https://github.com/UCLA-Plasma-Simulation-Group/UPIC-2.0
*This work is supported by DOE and NSF.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DPP.TO8.1
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