Speaker
Manuel Kirchen
(University of Hamburg)
Description
Modelling the complex dynamics in plasma accelerators requires computationally demanding Particle-In-Cell codes. These codes self-consistently solve the electromagnetic particle interaction inside the plasma. We present the latest features of FBPIC - a highly efficient, multi-GPU Particle-In-Cell code. It features a quasi-3D geometry that greatly reduces the computational costs, a spectral electromagnetic solver that eliminates numerical instabilities common to traditional field solvers and the Lorentz-boosted frame technique that allows to scale down the required simulation time by orders of magnitude.
Primary authors
Manuel Kirchen
(University of Hamburg)
Remi Lehe
(Lawrence Berkeley National Laboratory)
Soeren Jalas
(University of Hamburg)
Jean-Luc Vay
(Lawrence Berkeley National Laboratory)
Andreas Maier
(University of Hamburg)