The impact of electron inertia on collisional laser absorption for high energy density plasmas

TL;DR

This paper introduces a generalized Ohm's law-based model that captures collisional laser absorption in high-energy density plasmas, enabling efficient simulations of laser-plasma interactions at intermediate scales.

Contribution

The work demonstrates how the generalized Ohm's law can implicitly model electron dynamics, replicating key features of explicit electron motion in laser-plasma interactions.

Findings

Replicates cut-off density, reflection, and absorption phenomena.

Bridges gap between multi-fluid and magnetohydrodynamics scales.

Enables efficient simulation of complex laser-plasma interactions.

Abstract

High-power lasers are at the forefront of science in many domains. While their fields are still far from reaching the Schwinger limit, they have been used in extreme regimes, to successfully accelerate particles at high energies, or to reproduce phenomena observed in astrophysical settings. However, our understanding of laser plasma interactions is limited by numerical simulations, which are very expensive to run as short temporal and spatial scales need to be resolved explicitly. Under such circumstances, a non-collisional approach to model laser-plasma interactions becomes numerically expensive. Even a collisional approach, modeling the electrons and ions as independent fluids, is slow in practice. In both cases, the limitation comes from a direct computation of electron motion. In this work, we show how the generalized Ohm's law captures collisional absorption phenomena through the macroscopic interactions of laser fields, electron flows, and ion dynamics. This approach replicates several features usually associated with explicit electron motion, such as cut-off density, reflection and absorption. As the electron dynamics is now solved implicitly, the spatial and temporal scales of this model fit well between multi-fluid and standard magnetohydrodynamics scales, allowing to study a new class of problems that would be too expensive to solve numerically with other methods.