DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: 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:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Center for Computational Sciences and Engineering
  2. 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}
}

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
  • DOI: 10.3847/1538-4357/ab4f75

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
  • DOI: 10.1088/0067-0049/188/2/358

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
  • DOI: 10.21105/joss.01370

MAESTRO: An Adaptive Low Mach Number Hydrodynamics Algorithm for Stellar Flows
text, January 2010


MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver
text, January 2019


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
  • DOI: 10.3847/1538-4357/ab4f75

MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver
text, January 2019