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A Parallel Algorithm for Studying the Ice Cover Impact onto Seismic Waves Propagation in the Shallow Arctic Waters Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Maximus: A Hybrid Particle-in-Cell Code for Microscopic Modeling of Collisionless Plasmas

Authors : Julia Kropotina, Andrei Bykov, Alexandre Krassilchtchikov, Ksenia Levenfish

Published in: Supercomputing

Publisher: Springer International Publishing

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Abstract

A second-order accurate divergence-conserving hybrid particle-in-cell code Maximus has been developed for microscopic modeling of collisionless plasmas. The main specifics of the code include a constrained transport algorithm for exact conservation of magnetic field divergence, a Boris-type particle pusher, a weighted particle momentum deposit on the cells of the 3d spatial grid, an ability to model multispecies plasmas, and an adaptive time step. The code is efficiently parallelized for running on supercomputers by means of the message passing interface (MPI) technology; an analysis of parallelization efficiency and overall resource intensity is presented. A Maximus simulation of the shocked flow in the Solar wind is shown to agree well with the observations of the Ion Release Module (IRM) aboard the Active Magnetospheric Particle Tracer Explorers interplanetary mission.

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previous chapter INMOST Parallel Platform for Mathematical Modeling and Applications
next chapter Microwave Radiometry of Atmospheric Precipitation: Radiative Transfer Simulations with Parallel Supercomputers
Appendix
Available only for authorised users
Footnotes
1
The code is named after out late colleague, Maxim Gustov (1978–2014), who developed its first version in 2005.
 
2
Maximus allows treatment of multiple sorts of ions. However, the normalization units are always defined for the “reference” pure hydrogen plasma of the same initial mass density \(\rho _0\) as the particular modeled composition.
 
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Metadata
Title
Maximus: A Hybrid Particle-in-Cell Code for Microscopic Modeling of Collisionless Plasmas
Authors
Julia Kropotina
Andrei Bykov
Alexandre Krassilchtchikov
Ksenia Levenfish
Copyright Year
2019
Book
Supercomputing

Print ISBN: 978-3-030-05806-7

Electronic ISBN: 978-3-030-05807-4

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-05807-4_21

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