Simulation Models for Exploring Magnetic Reconnection
Michael Shay, Subash Adhikari, Naoki Beesho, Joachim Birn, Jorg, Buechner, Paul Cassak, Li-Jen Chen, Yuxi Chen, Giulia Cozzani, Jim Drake, Fan, Guo, Michael Hesse, Neeraj Jain, Yann Pfau-Kempf, Yu Lin, Yi-Hsin Liu, Mitsuo, Oka, Yuri A. Omelchenko, Minna Palmroth, Oreste Pezzi

TL;DR
This paper reviews various simulation methods used to study magnetic reconnection, highlighting their assumptions, techniques, and scientific insights, due to the multiscale complexity of the phenomenon.
Contribution
It provides a comprehensive overview of different plasma simulation models for magnetic reconnection, detailing their assumptions and applications.
Findings
Different models capture specific aspects of reconnection
Simulation techniques vary in complexity and scale
Results enhance understanding of reconnection processes
Abstract
Simulations have played a critical role in the advancement of our knowledge of magnetic reconnection. However, due to the inherently multiscale nature of reconnection, it is impossible to simulate all physics at all scales. For this reason, a wide range of simulation methods have been crafted to study particular aspects and consequences of magnetic reconnection. This chapter reviews many of these methods, laying out critical assumptions, numerical techniques, and giving examples of scientific results. Plasma models described include magnetohydrodynamics (MHD), Hall MHD, Hybrid, kinetic particle-in-cell (PIC), kinetic Vlasov, Fluid models with embedded PIC, Fluid models with direct feedback from energetic populations, and the Rice Convection Model (RCM).
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Taxonomy
TopicsMagnetic Properties and Applications · Magnetic Field Sensors Techniques · Non-Destructive Testing Techniques
