Strong-field ionization in particle-in-cell simulations
A.A. Mironov, E.G. Gelfer, I.I. Tupitsyn, A. Beck, M. Jirka, O. Klimo,, S. Meuren, G. Oberreit, T. Smorodnikova, R. Ta\"ieb, S. Weber, C. Riconda, M., Grech, S.V. Popruzhenko

TL;DR
This paper enhances particle-in-cell simulations of laser-plasma interactions by developing a new algorithm for accurately modeling multiple ionization processes, including nonsequential tunnel ionization, improving the precision of high-intensity laser simulations.
Contribution
It introduces a novel algorithm to identify the dominant nonsequential ionization path and implements it in the PIC code SMILE, accounting for magnetic quantum number dependence.
Findings
Improved accuracy in ionization modeling within PIC simulations.
Validated the new method through argon laser ionization simulations.
Discussed extensions for barrier suppression ionization models.
Abstract
The inclusion of the process of multiple ionization of atoms in high-intensity electromagnetic fields into particle-in-cell (PIC) codes applied to the simulation of laser-plasma interactions is a challenging task. In this paper, we first revisit ionization rates as given by the Perelomov-Popov-Terent'yev formulas within the paradigm of sequential tunnel ionization. We analyze the limit of validity and possible inconsistencies of this approach. We show that a strongly limiting factor to a precise description of ionization is the competing contribution of different sequential ionization processes. To solve this an algorithm is proposed that allows to find the dominant nonsequential path of tunnel ionization, and significantly improves the precision in simulations. This novel procedure is implemented in the PIC code SMILE, and includes the dependence of the ionization rates on the magnetic…
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Taxonomy
TopicsAtomic and Molecular Physics · Ion-surface interactions and analysis · Silicon and Solar Cell Technologies
