PHARE : Parallel hybrid particle-in-cell code with patch-based adaptive mesh refinement

TL;DR

This paper introduces PHARE, a hybrid particle-in-cell code with adaptive mesh refinement that efficiently models multi-scale collisionless magnetized processes by dynamically refining computational regions.

Contribution

The paper presents a novel hybrid PIC code with patch-based adaptive mesh refinement, enabling scalable simulation of multi-scale plasma processes.

Findings

Validated on uniform, fixed refined, and dynamically refined meshes.

Demonstrated ability to simulate large-scale processes with localized fine resolution.

Showed improved computational efficiency over traditional uniform mesh approaches.

Abstract

Modeling multi-scale collisionless magnetized processes constitutes an important numerical challenge. By treating electrons as a fluid and ions kinetically, the so-called hybrid Particle-In-Cell (PIC) codes represent a promising intermediary between fully kinetic codes, limited to model small scales and short durations, and magnetohydrodynamic codes used large scale. However, simulating processes at scales significantly larger than typical ion particle dynamics while resolving sub-ion dissipative current sheets remain extremely difficult. This paper presents a new hybrid PIC code with patch-based adaptive mesh refinement. Here, hybrid PIC equations are solved on a hierarchy of an arbitrary number of Cartesian meshes of incrementally finer resolution dynamically mapping regions of interest, and with a refined time stepping. This paper presents how the hybrid PIC algorithm is adapted to evolve such mesh hierarchy and the validation of the code on a uniform mesh, fixed refined mesh and dynamically refined mesh.