New Journal of Physics (Jan 2022)

PICSAR-QED: a Monte Carlo module to simulate strong-field quantum electrodynamics in particle-in-cell codes for exascale architectures

  • Luca Fedeli,
  • Neïl Zaïm,
  • Antonin Sainte-Marie,
  • Maxence Thévenet,
  • Axel Huebl,
  • Andrew Myers,
  • Jean-Luc Vay,
  • Henri Vincenti

DOI
https://doi.org/10.1088/1367-2630/ac4ef1
Journal volume & issue
Vol. 24, no. 2
p. 025009

Abstract

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Physical scenarios where the electromagnetic fields are so strong that quantum electrodynamics (QED) plays a substantial role are one of the frontiers of contemporary plasma physics research. Investigating those scenarios requires state-of-the-art particle-in-cell (PIC) codes able to run on top high-performance computing (HPC) machines and, at the same time, able to simulate strong-field QED processes. This work presents the PICSAR-QED library, an open-source, portable implementation of a Monte Carlo module designed to provide modern PIC codes with the capability to simulate such processes, and optimized for HPC. Detailed tests and benchmarks are carried out to validate the physical models in PICSAR-QED, to study how numerical parameters affect such models, and to demonstrate its capability to run on different architectures (CPUs and GPUs). Its integration with WarpX, a state-of-the-art PIC code designed to deliver scalable performance on upcoming exascale supercomputers, is also discussed and validated against results from the existing literature.

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