A numerical study on plasma acceleration processes with ion dynamics at the sub-nanosecond timescale
G. Parise, A. Cianchi, M. Galletti, F. Guglietta, R. Pompili, A. R. Rossi, M. Sbragaglia, D. Simeoni
TL;DR
This paper investigates the recovery time of a hydrogen plasma under SPARC_LAB pump–probe conditions to understand how ion dynamics influence plasma wakefield properties at sub-nanosecond timescales. It performs spatially resolved simulations using both collisionless PIC (FBPIC with PSATD) and fluid (FDTD+LBM) models, explicitly including ion motion, allowing a direct assessment of fluid closures' validity in a regime where kinetic effects are relevant. The key finding is a non-monotonic dependence of on-axis ion accumulation on the initial density $n_0$, with a peak around $n_0 \sim 4{-}5\times 10^{14}$ cm$^{-3}$, which qualitatively reproduces the experimental ΔE trend and highlights model differences near the axis. The results guide modeling strategies for high-repetition-rate PWFA, suggesting improvements like including finite temperature and evolving pump dynamics to achieve quantitative agreement with experiments and enable better extrapolation to longer times.
Abstract
Plasma wakefield acceleration is a groundbreaking technique for accelerating particles, capable of sustaining gigavolt-per-meter accelerating fields. Understanding the physical mechanisms governing the recovery of plasma accelerating properties over time is essential for successfully achieving high-repetition-rate plasma acceleration, a key requirement for applicability in both research and commercial settings. In this paper, we present numerical simulations of the early-stage plasma evolution based on the parameters of the SPARC_LAB hydrogen plasma recovery time experiment (Pompili et al., Comm. Phys. 7, 241 (2024)), employing spatially resolved Particle-in-Cell and fluid models. The experiment reports on a non-monotonic dependence of the plasma recovery time on the initial plasma density, an effect for which ion motion has been invoked as a contributing factor. The simulations presented here provide further insight into the role of ion dynamics in shaping this behavior. Furthermore, comparing Particle-in-Cell and fluid approaches allows us to assess the quality of fluid models for describing this class of plasma dynamics.
