WarpX: efficient modeling of plasma-based accelerators with mesh refinement

POSTER

Abstract

Plasma-based accelerators are being developed to provide a more compact and economical alternative to standard accelerator technology. High accelerating gradients were demonstrated in centimeter long plasmas. Recent studies focus on mitigating multiple non-linear, fast processes and instabilities that deteriorate the quality of plasma-based accelerated beams. High-fidelity numerical codes that can model beam propagation in plasma fields are necessary to study those nonlinear processes. Simulations are typically computationally demanding because they resolve small structures over large distances. The Adaptive Mesh Refinement (AMR) technique, where selected regions are modeled with higher resolution, can make simulations more efficient. For the Exascale Computing Project, we have been developing the WarpX tool that incorporates AMR through the AMReX framework in the Particle-In-Cell (PIC) code Warp. We present recent studies of beam evolution in consecutive plasma stages, done with and without using mesh-refinement.

Authors

  • Ligia Diana Amorim

    Lawrence Berkeley National Laboratory

  • Jean-Luc Vay

    Lawrence Berkeley National Laboratory

  • Ann Almgren

    Lawrence Berkeley National Laboratory

  • John Bell

    Lawrence Berkeley National Laboratory

  • Revathi Jambunathan

    Lawrence Berkeley National Laboratory

  • Remi Lehe

    Lawrence Berkeley National Laboratory

  • Andrew Myers

    Lawrence Berkeley National Laboratory, LBNL

  • Jaehong Park

    Lawrence Berkeley National Laboratory, LBNL

  • Olga Shapoval

    Lawrence Berkeley National Laboratory, LBNL

  • Maxence Thévenet

    Lawrence Berkeley National Laboratory, LBNL

  • Weiqun Zhang

    Lawrence Berkeley National Laboratory

  • David Grote

    Lawrence Livermore National Laboratory

  • Mark Hogan

    SLAC National Accelerator Laboratory, SLAC

  • Lixin Ge

    SLAC National Accelerator Laboratory, SLAC

  • Cho Ng

    SLAC National Accelerator Laboratory, SLAC