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Published November 2022 | public
Journal Article

A reduced speed-of-light formulation of the magnetohydrodynamic-particle-in-cell method

Abstract

A reduced speed-of-light (RSOL) approximation is a useful technique for magnetohydrodynamic (MHD)-particle-in-cell (PIC) simulations. With an RSOL, some 'in-code' speed-of-light c~ is set to much lower values than the true c, allowing simulations to take larger time-steps (which are restricted by the Courant condition given the large CR speeds). However, due to the absence of a well-formulated RSOL implementation from the literature, with naive substitution of the true c with a RSOL, the CR properties in MHD-PIC simulations (e.g. CR energy or momentum density, gyro radius) vary artificially with respect to each other and with respect to the converged (⁠c~ → c⁠) solutions, with different choices of a RSOL. Here, we derive a new formulation of the MHD-PIC equations with an RSOL and show that (1) it guarantees all steady-state properties of the CR distribution function, and background plasma/MHD quantities are independent of the RSOL c~ even for c~ ≪ c⁠; (2) it ensures that the simulation can simultaneously represent the real physical values of CR number, mass, momentum, and energy density; (3) it retains the correct physical meaning of various terms like the electric field; and (4) it ensures the numerical time-step for CRs can always be safely increased by a factor ∼ c/c~⁠. This new RSOL formulation should enable greater self-consistency and reduced CPU cost in simulations of CR–MHD interactions.

Additional Information

The authors thank the referee and editor for their constructive suggestions that improve this work. SJ is supported by a Sherman Fairchild Fellowship from Caltech, the Natural Science Foundation of China (grants 12133008, 12192220, and 12192223) and the science research grants from the China Manned Space Project (No. CMS-CSST-2021-B02). Support for PFH was provided by NSF research grants 1911233 and 20009234, NSF CAREER grant 1455342, and NASA grants 80NSSC18K0562 and HST-AR-15800.001-A. Numerical calculations were run on the Caltech compute cluster 'Wheeler', allocations FTA-Hopkins supported by the NSF and TACC, and NASA HEC SMD-16-7592, and the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Shanghai Astronomical Observatory.

Additional details

Created:
August 22, 2023
Modified:
October 24, 2023