Similarity for downscaled kinetic simulations of electrostatic plasmas: reconciling the large system size with small Debye length
Yanzeng Zhang, Haotian Mao, Yuzhi Li, Xian-Zhu Tang

TL;DR
This paper introduces a similarity scaling method for kinetic plasma simulations that allows large system sizes to be modeled while maintaining the microscopic physics at the Debye length scale, enabling more efficient and accurate simulations.
Contribution
The paper proposes a novel similarity transformation for particle-in-cell plasma simulations that preserves macroscopic physics while scaling microscopic parameters, facilitating large-scale plasma modeling.
Findings
The similarity transformation effectively preserves transport physics.
Scaling Coulomb logarithm enables control over microscopic physics.
Demonstrated with 1D plasma transport simulations in VPIC.
Abstract
A simple similarity has been proposed for kinetic (e.g., particle-in-cell) simulations of plasma transport that can effectively address the longstanding challenge of reconciling the tiny Debye length with the vast system size. This applies to both transport in unmagnetized plasma and parallel transport in magnetized plasmas, where the characteristics length scales are given by the Debye length, collisional mean free paths, and the system or gradient lengths. The controlled scaled variables are the configuration space, and artificial collisional rates, , which is realized through scaling the Coulomb Logarithm in the simulations, Whereas, the scaled time, , and electric field, , are automatic outcomes. The similarity properties are examined, demonstrating that the macroscopic…
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Taxonomy
TopicsMass Spectrometry Techniques and Applications · Electrohydrodynamics and Fluid Dynamics · Plasma Diagnostics and Applications
