Bulletin of the American Physical Society
64th Annual Meeting of the APS Division of Plasma Physics
Volume 67, Number 15
Monday–Friday, October 17–21, 2022; Spokane, Washington
Session GO08: Laser-Plasma Wakefield and Direct Laser Accelerators
9:30 AM–12:30 PM,
Tuesday, October 18, 2022
Room: 402 ABC
Chair: Frank Tsung, University of California, Los Angeles
Abstract: GO08.00005 : Efficient modeling of ion-motion in LWFA using electromagnetic Particle-in-Cell code with mesh refinement*
10:18 AM–10:30 AM
Presenter:
Prabhat Kumar
(Lawrence Berkeley National Laboratory)
Authors:
Prabhat Kumar
(Lawrence Berkeley National Laboratory)
Remi Lehe
(Lawrence Berkeley National Laboratory)
Axel Huebl
(Lawrence Berkeley National Laboratory)
Andrew Myers
(Lawrence Berkeley National Laboratory)
Olga Shapoval
(Lawrence Berkeley National Laboratory)
Weiqun Zhang
(Lawrence Berkeley National Laboratory)
Edoardo Zoni
(Lawrence Berkeley National Laboratory)
Jean-Luc Vay
(Lawrence Berkeley National Laboratory)
Collaboration:
WarpX
Understanding of the physics associated with Ion motion in LWFA is crucial for building future linear colliders based on plasma based acceleration. For the parameters required for these applications, ions move significantly, particularly in the vicinity of the injected electron beam. Accurate modeling of the physics of interest is highly challenging due to large disparity in the transverse length scales, which requires a large number of grid cells in the transverse direction to resolve small-scale features of interest. Previous works have employed quasi-static Particle-in-cell codes with mesh refinement in the witness beam region for simulations of ion motion in plasma based accelerators. In this work, we present the progress and challenges in simulations of ion motion in laser-driven plasma accelerators using the electromagnetic PIC code WarpX, with mesh refinement features in full 3D cartesian geometry. We further investigate the accuracy and performance of the code with comparisons of results with and without mesh refinement.
*This research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration.
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