MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver
Abstract
MAESTROeX is a massively parallel, finite-volume C++/F90 solver for low Mach number astrophysical flows. Our code utilizes a low Mach number equation set allowing for more efficient, long-time integration of highly subsonic flows compared to compressible approaches. The recommended range of applicability is for flows where the Mach number does not exceed ~0.1.
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Center for Computational Sciences and Engineering
- Stony Brook Univ., NY (United States). Dept. of Physics and Astronomy
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). Scientific Discovery through Advanced Computing (SciDAC)
- OSTI Identifier:
- 1574358
- Grant/Contract Number:
- AC02-05CH11231; FG02-87ER40317; SC0017955
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Open Source Software
- Additional Journal Information:
- Journal Volume: 4; Journal Issue: 43; Journal ID: ISSN 2475-9066
- Publisher:
- Open Source Initiative - NumFOCUS
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 79 ASTRONOMY AND ASTROPHYSICS
Citation Formats
Fan, Duoming, Nonaka, Andrew, Almgren, Ann, Willcox, Donald, Harpole, Alice, and Zingale, Michael. MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver. United States: N. p., 2019.
Web. doi:10.21105/joss.01757.
Fan, Duoming, Nonaka, Andrew, Almgren, Ann, Willcox, Donald, Harpole, Alice, & Zingale, Michael. MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver. United States. https://doi.org/10.21105/joss.01757
Fan, Duoming, Nonaka, Andrew, Almgren, Ann, Willcox, Donald, Harpole, Alice, and Zingale, Michael. Thu .
"MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver". United States. https://doi.org/10.21105/joss.01757. https://www.osti.gov/servlets/purl/1574358.
@article{osti_1574358,
title = {MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver},
author = {Fan, Duoming and Nonaka, Andrew and Almgren, Ann and Willcox, Donald and Harpole, Alice and Zingale, Michael},
abstractNote = {MAESTROeX is a massively parallel, finite-volume C++/F90 solver for low Mach number astrophysical flows. Our code utilizes a low Mach number equation set allowing for more efficient, long-time integration of highly subsonic flows compared to compressible approaches. The recommended range of applicability is for flows where the Mach number does not exceed ~0.1.},
doi = {10.21105/joss.01757},
journal = {Journal of Open Source Software},
number = 43,
volume = 4,
place = {United States},
year = {Thu Nov 21 00:00:00 EST 2019},
month = {Thu Nov 21 00:00:00 EST 2019}
}
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Works referenced in this record:
MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver
journal, December 2019
- Fan, Duoming; Nonaka, Andrew; Almgren, Ann S.
- The Astrophysical Journal, Vol. 887, Issue 2
Maestro: an Adaptive low mach Number Hydrodynamics Algorithm for Stellar Flows
journal, May 2010
- Nonaka, A.; Almgren, A. S.; Bell, J. B.
- The Astrophysical Journal Supplement Series, Vol. 188, Issue 2
AMReX: a framework for block-structured adaptive mesh refinement
journal, May 2019
- Zhang, Weiqun; Almgren, Ann; Beckner, Vince
- Journal of Open Source Software, Vol. 4, Issue 37
MAESTRO: An Adaptive Low Mach Number Hydrodynamics Algorithm for Stellar Flows
text, January 2010
- Nonaka, A.; Almgren, A. S.; Bell, J. B.
- arXiv
MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver
text, January 2019
- Fan, Duoming; Nonaka, Andrew; Almgren, Ann S.
- arXiv
Works referencing / citing this record:
MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver
journal, December 2019
- Fan, Duoming; Nonaka, Andrew; Almgren, Ann S.
- The Astrophysical Journal, Vol. 887, Issue 2
MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver
text, January 2019
- Fan, Duoming; Nonaka, Andrew; Almgren, Ann S.
- arXiv