English

PICSAR-QED: a Monte Carlo module to simulate Strong-Field Quantum Electrodynamics in Particle-In-Cell codes for exascale architectures

Plasma Physics 2022-03-14 v1 Computational Physics

Abstract

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 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 high-performance computing. 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.

Keywords

Cite

@article{arxiv.2110.00256,
  title  = {PICSAR-QED: a Monte Carlo module to simulate Strong-Field Quantum Electrodynamics in Particle-In-Cell codes for exascale architectures},
  author = {Luca Fedeli and Neïl Zaïm and Antonin Sainte-Marie and Maxence Thévenet and Axel Huebl and Andrew Myers and Jean-Luc Vay and Henri Vincenti},
  journal= {arXiv preprint arXiv:2110.00256},
  year   = {2022}
}

Comments

33 pages, 7 figures, 4 tables