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ENZO: AN ADAPTIVE MESH REFINEMENT CODE FOR ASTROPHYSICS

delete2014-03-20
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OA
AI
G
Greg L. Bryan *
M
Michael L. Norman
B
Brian W. O’Shea
T
Tom Abel
J
John Wise
M
Matthew Turk
D
Daniel R. Reynolds
D
David C. Collins
王鹏 cover
王鹏 (Peng Wang)
S
Samuel W. Skillman
B
Britton Smith
R
Robert P. Harkness
J
James Bordner
J
Ji-hoon Kim
H
Hao Xu
N
Nathan Goldbaum
C
Cameron Hummels
A
Alexei G. Kritsuk
E
Elizabeth J. Tasker
C
Christine M. Simpson
O
Oliver Hahn
J
Jeffrey S. Oishi
赵粉 (Fen Zhao)
R
Renyue Cen
黎源 cover
黎源 (Yuan Li)
DOI:10.1088/0067-0049/211/2/19delete
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Abstract

Abstract

En 中文
This paper describes the open-source code Enzo, which uses block-structured adaptive mesh refinement to provide high spatial and temporal resolution for modeling astrophysical fluid flows. The code is Cartesian, can be run in one, two, and three dimensions, and supports a wide variety of physics including hydrodynamics, ideal and non-ideal magnetohydrodynamics, N-body dynamics (and, more broadly, self-gravity of fluids and particles), primordial gas chemistry, optically thin radiative cooling of primordial and metal-enriched plasmas (as well as some optically-thick cooling models), radiation transport, cosmological expansion, and models for star formation and feedback in a cosmological context. In addition to explaining the algorithms implemented, we present solutions for a wide range of test problems, demonstrate the code's parallel performance, and discuss the Enzo collaboration's code development methodology.
Keywords:
hydrodynamics
methods: numerical
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Astrophysical Journal Supplement Series cover
Astrophysical Journal Supplement Series
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