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Title:
Gradient Particle Magnetohydrodynamics: A Lagrangian Particle Code for Astrophysical Magnetohydrodynamics
Authors:
Maron, Jason L.; Howes, Gregory G.
Affiliation:
AA(Department of Physics and Astronomy, University of California, Los Angeles, CA 90095-1547; Department of Physics and Astronomy, University of Rochester, Rochester, NY 14627-0171. ), AB(Department of Physics and Astronomy, University of California, Los Angeles, CA 90095-1547 )
Publication:
The Astrophysical Journal, Volume 595, Issue 1, pp. 564-572. (ApJ Homepage)
Publication Date:
09/2003
Origin:
UCP
Astronomy Keywords:
Methods: Numerical, Magnetohydrodynamics: MHD
DOI:
10.1086/377296
Bibliographic Code:
2003ApJ...595..564M

Abstract

We introduce a new algorithm, gradient particle magnetohydrodynamics (GPM), for the numerical simulation of astrophysical MHD phenomena. The GPM prescription employs a local polynomial fit to recover accurate gradient information from a disordered distribution of particles. This Lagrangian particle method evolves the vector potential to eliminate the problem of magnetic divergence. Validation tests of MHD waves, an advection problem, and an MHD Riemann problem are presented to demonstrate the viability of GPM as a new tool for the investigation of MHD problems in astrophysics.
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