Particle-in-cell simulations of expanding high energy density plasmas with laser ray tracing
The design and analysis of high energy density (HED) laser experiments typically rely on radiation hydrodynamics simulations. However, some laser–plasma interaction regimes are not collisional and cannot be adequately modeled with hydrodynamics. For example, strongly driven magnetic reconnection and magnetized collisionless shock experiments possess extended hydrodynamic or even kinetic properties, necessitating first-principles kinetic simulations. In this paper, we present the benchmarking and first results obtained with a laser-ray-tracing and inverse bremsstrahlung absorption module implemented in the particle-in-cell code PSC. The simulation results are compared to radiation hydrodynamic simulations using the FLASH code as well as analytical estimates. We successfully benchmark the energy deposition model and overall hydrodynamic evolution of the systems. We also consider possible kinetic effects that may be expected from laser-target ablation in the HED regime, including non-local transport and two-temperature effects.
Authors
- Samuel Totorica (ORCID: https://orcid.org/0000-0002-7126-464X)
- W. Fox (ORCID: https://orcid.org/0000-0001-6289-858X)
- Jesse Griff-McMahon (ORCID: https://orcid.org/0000-0002-0774-0613)
- A. Diallo (ORCID: https://orcid.org/0000-0002-0706-060X)
- Marissa Adams (ORCID: https://orcid.org/0000-0001-5560-6729)
- K. V. Lezhnin (ORCID: https://orcid.org/0000-0002-7636-069X)
- Petros Tzeferacos (ORCID: https://orcid.org/0000-0002-9042-6333)
- A. Hyder (ORCID: https://orcid.org/0000-0003-4410-3661)
Institutions
- National Institutes of Natural Sciences (JP)
- Princeton University (US)
- Princeton Plasma Physics Laboratory (US)
- Sandia National Laboratories (US)
- University of Rochester (US)
- Columbia University (US)
Publication Details
- Journal
- Physics of Plasmas
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1063/5.0240547
- Citations
- 3
- Primary Topic
- Laser-Plasma Interactions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 5.61
Funders
- U.S. Department of Energy
- National Nuclear Security Administration
- Los Alamos National Laboratory