Enzo: An adaptive mesh refinement code for astrophysics

Greg L. Bryan; Michael L. Norman; Brian W. O'Shea; Tom Abel; John H. Wise; Matthew J. Turk; Daniel R. Reynolds; David C. Collins; Peng Wang; Samuel W. Skillman; Britton Smith; Robert P. Harkness; James Bordner; Ji Hoon Kim; Michael Kuhlen; Hao Xu; Nathan Goldbaum; Cameron Hummels; Alexei G. Kritsuk; Elizabeth Tasker; Stephen Skory; Christine M. Simpson; Oliver Hahn; Jeffrey S. Oishi; Geoffrey C. So; Fen Zhao; Renyue Cen; Yuan Li

doi:10.1088/0067-0049/211/2/19

Enzo: An adaptive mesh refinement code for astrophysics

Greg L. Bryan, Michael L. Norman, Brian W. O'Shea, Tom Abel, John H. Wise, Matthew J. Turk, Daniel R. Reynolds, David C. Collins, Peng Wang, Samuel W. Skillman, Britton Smith, Robert P. Harkness, James Bordner, Ji Hoon Kim, Michael Kuhlen, Hao Xu, Nathan Goldbaum, Cameron Hummels, Alexei G. Kritsuk, Elizabeth TaskerStephen Skory, Christine M. Simpson, Oliver Hahn, Jeffrey S. Oishi, Geoffrey C. So, Fen Zhao, Renyue Cen, Yuan Li

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English (US)
Article number	19
Journal	Astrophysical Journal, Supplement Series
Volume	211
Issue number	2
DOIs	https://doi.org/10.1088/0067-0049/211/2/19
State	Published - Apr 2014
Externally published	Yes

Keywords

hydrodynamics methods
numerical
words

ASJC Scopus subject areas

Astronomy and Astrophysics
Space and Planetary Science

Online availability

10.1088/0067-0049/211/2/19

Library availability

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Bryan, G. L., Norman, M. L., O'Shea, B. W., Abel, T., Wise, J. H., Turk, M. J., Reynolds, D. R., Collins, D. C., Wang, P., Skillman, S. W., Smith, B., Harkness, R. P., Bordner, J., Kim, J. H., Kuhlen, M., Xu, H., Goldbaum, N., Hummels, C., Kritsuk, A. G., ... Li, Y. (2014). Enzo: An adaptive mesh refinement code for astrophysics. Astrophysical Journal, Supplement Series, 211(2), Article 19. https://doi.org/10.1088/0067-0049/211/2/19

Bryan, GL, Norman, ML, O'Shea, BW, Abel, T, Wise, JH, Turk, MJ, Reynolds, DR, Collins, DC, Wang, P, Skillman, SW, Smith, B, Harkness, RP, Bordner, J, Kim, JH, Kuhlen, M, Xu, H, Goldbaum, N, Hummels, C, Kritsuk, AG, Tasker, E, Skory, S, Simpson, CM, Hahn, O, Oishi, JS, So, GC, Zhao, F, Cen, R & Li, Y 2014, 'Enzo: An adaptive mesh refinement code for astrophysics', Astrophysical Journal, Supplement Series, vol. 211, no. 2, 19. https://doi.org/10.1088/0067-0049/211/2/19

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abstract = "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.",

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AU - Reynolds, Daniel R.

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AU - Skillman, Samuel W.

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AU - Bordner, James

AU - Kim, Ji Hoon

AU - Kuhlen, Michael

AU - Xu, Hao

AU - Goldbaum, Nathan

AU - Hummels, Cameron

AU - Kritsuk, Alexei G.

AU - Tasker, Elizabeth

AU - Skory, Stephen

AU - Simpson, Christine M.

AU - Hahn, Oliver

AU - Oishi, Jeffrey S.

AU - So, Geoffrey C.

AU - Zhao, Fen

AU - Cen, Renyue

AU - Li, Yuan

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Enzo: An adaptive mesh refinement code for astrophysics

Abstract

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