Research Activities > Programs >
Numerical Plasma Astrophysics > Gregory Howes
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CSIC Building (#406),
Seminar Room 4122.
Directions: home.cscamm.umd.edu/directions
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Adaptive Particle Refinement
Dr. Gregory Howes
Department of Physics and Astronomy at UCLA
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Abstract:
Lagrangian methods have long been used for astrophysical fluid
simulation because of the adaptivity inherent in following fluid
elements, or "particles". The resulting resolution enhancement,
however, occurs chiefly in regions of increased fluid density. I will
describe a new approach to Lagrangian simulations that adjusts particle
density according to the error of a local least squares fit to the
fluid profile. Other improvements over previous Lagrangian techniques
include magnetic divergence corrections for accurate inclusion of
magnetic fields.
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