Enzo: An adaptive mesh refinement code for astrophysics

Enzo Collaboration; 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

Enzo Collaboration, 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. KritsukElizabeth Tasker, Stephen Skory, Christine M. Simpson, Oliver Hahn, Jeffrey S. Oishi, Geoffrey C. So, Fen Zhao, Renyue Cen, Yuan Li

^*Corresponding author for this work

School of Physics and Astronomy

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
Article number	19
Number of pages	52
Journal	Astrophysical Journal Supplement
Volume	211
Issue number	2
DOIs	https://doi.org/10.1088/0067-0049/211/2/19
Publication status	Published - 20 Mar 2014

Keywords

hydrodynamics
methods: numerical
SMOOTHED-PARTICLE HYDRODYNAMICS
TO-MOLECULAR TRANSITION
RADIATION MAGNETOHYDRODYNAMICS CODE
CONSERVATIVE DIFFERENCE SCHEME
PIECEWISE PARABOLIC METHOD
POPULATION III STARS
N-BODY SIMULATIONS
LYMAN-ALPHA FOREST
2 SPACE DIMENSIONS
COSMOLOGICAL SIMULATIONS

Access to Document

10.1088/0067-0049/211/2/19

Britton Smith
- School of Physics and Astronomy - Reader
Person: Academic: Research Active

Cite this

Enzo Collaboration, 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., Kuhlen, M., Xu, H., Goldbaum, N., Hummels, C., ... Li, Y. (2014). Enzo: An adaptive mesh refinement code for astrophysics. Astrophysical Journal Supplement, 211(2), [19]. https://doi.org/10.1088/0067-0049/211/2/19

@article{36d25531e0f340fb90126ec7ca5d50e2,

title = "Enzo: An adaptive mesh refinement code for astrophysics",

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.",

keywords = "hydrodynamics, methods: numerical, SMOOTHED-PARTICLE HYDRODYNAMICS, TO-MOLECULAR TRANSITION, RADIATION MAGNETOHYDRODYNAMICS CODE, CONSERVATIVE DIFFERENCE SCHEME, PIECEWISE PARABOLIC METHOD, POPULATION III STARS, N-BODY SIMULATIONS, LYMAN-ALPHA FOREST, 2 SPACE DIMENSIONS, COSMOLOGICAL SIMULATIONS",

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

year = "2014",

month = mar,

day = "20",

doi = "10.1088/0067-0049/211/2/19",

language = "English",

volume = "211",

journal = "Astrophysical Journal Supplement",

issn = "0067-0049",

publisher = "IOP Publishing",

number = "2",

}

Enzo Collaboration, 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, J, 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, vol. 211, no. 2, 19. https://doi.org/10.1088/0067-0049/211/2/19

TY - JOUR

T1 - Enzo: An adaptive mesh refinement code for astrophysics

AU - Enzo Collaboration

AU - Bryan, Greg L.

AU - Norman, Michael L.

AU - O'Shea, Brian W.

AU - Abel, Tom

AU - Wise, John H.

AU - Turk, Matthew J.

AU - Reynolds, Daniel R.

AU - Collins, David C.

AU - Wang, Peng

AU - Skillman, Samuel W.

AU - Smith, Britton

AU - Harkness, Robert P.

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

PY - 2014/3/20

Y1 - 2014/3/20

N2 - 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.

AB - 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.

KW - hydrodynamics

KW - methods: numerical

KW - SMOOTHED-PARTICLE HYDRODYNAMICS

KW - TO-MOLECULAR TRANSITION

KW - RADIATION MAGNETOHYDRODYNAMICS CODE

KW - CONSERVATIVE DIFFERENCE SCHEME

KW - PIECEWISE PARABOLIC METHOD

KW - POPULATION III STARS

KW - N-BODY SIMULATIONS

KW - LYMAN-ALPHA FOREST

KW - 2 SPACE DIMENSIONS

KW - COSMOLOGICAL SIMULATIONS

U2 - 10.1088/0067-0049/211/2/19

DO - 10.1088/0067-0049/211/2/19

M3 - Article

VL - 211

JO - Astrophysical Journal Supplement

JF - Astrophysical Journal Supplement

SN - 0067-0049

IS - 2

M1 - 19

ER -

Enzo: An adaptive mesh refinement code for astrophysics

Abstract

Keywords

Access to Document

Fingerprint

Profiles

Britton Smith

Cite this