Abstract
In this paper we introduce Enzo, a 3D MPI-parallel Eulerian block-structured adaptive mesh refinement cosmology code. Enzo is designed to simulate cosmological structure formation, but can also be used to simulate a wide range of astrophysical situations. Enzo solves dark matter N-body dynamics using the particle-mesh technique. The Poisson equation is solved using a combination of fast fourier transform (on a periodic root grid) and multigrid techniques (on non-periodic subgrids). Euler’s equations of hydrodynamics are solved using a modified version of the piecewise parabolic method. Several additional physics packages are implemented in the code, including several varieties of radiative cooling, a metagalactic ultraviolet background, and prescriptions for star formation and feedback. We also show results illustrating properties of the adaptive mesh portion of the code. Information on profiling and optimizing the performance of the code can be found in the contribution by James Bordner in this volume.
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References
J. J. Monaghan. Smoothed particle hydrodynamics. Annual Review of Astronomy & Astrophysics, 30:543, 1992.
M. J. Berger and P. Colella. Local adaptive mesh refinement for shock hydrodynamics. J. Comp. Phys., 82:64–84, 1989.
G. L. Bryan and M. L. Norman. A hybrid amr application for cosmology and astrophysics. In N. Chrisochoides, editor, Workshop on Structured Adaptive Mesh Refinement Grid Methods, page 165. IMA Volumes in Mathematics No. 117, 2000.
G. L. Bryan and M. L. Norman. In D. A. Clarke and M. Fall, editors, Computational Astrophysics; 12th Kingston Meeting on Theoretical Astrophysics, proceedings of meeting held in Halifax; Nova Scotia; Canada October 17–19; 1996. ASP Conference Series # 123, 1997.
G. L. Bryan. Fluids in the universe: Adaptive mesh in cosmology. Computing in Science and Engineering, 1:2:46, 1999.
M. L. Norman and G. L. Bryan. Cosmological adaptive mesh refinement. In Kohji Tomisaka Shoken M. Miyama and Tomoyuki Hanawa, editors, Numerical Astrophysics: Proceedings of the International Conference on Numerical Astrophysics 1998 (NAP98), held at the National Olympic Memorial Youth Center, Tokyo, Japan, March 10–13, 1998., page 19. Kluwer Academic, 1999.
P. R. Woodward and P. Colella. A piecewise parabolic method for gas dynamical simulations. J. Comp. Physics, 54:174, 1984.
G. L. Bryan, M. L. Norman, J. M. Stone, R. Cen, and J. P. Ostriker. A piecewise parabolic method for cosmological hydrodynamics. Comp. Phys. Comm., 89:149–168, 1995.
J. M. Stone and M. L. Norman. Zeus-2d: A radiation magnetohydrodynamics code for astrophysical flows in two space dimensions. i-the hydrodynamic algorithms and tests. ApJ, 80:753, 1992.
J. M. Stone and M. L. Norman. Zeus-2d: A radiation magnetohydrodynamics code for astrophysical flows in two space dimensions. ii. the magnetohydrodynamic algorithms and tests. ApJ, 80:791, 1992.
T. Abel, P. Anninos, Y. Zhang, and M. L. Norman. Modeling primordial gas in numerical cosmology. New Astronomy, 2:181–207, August 1997.
P. Anninos, Y. Zhang, T. Abel, and M. L. Norman. Cosmological hydrodynamics with multi-species chemistry and nonequilibrium ionization and cooling. New Astronomy, 2:209–224, August 1997.
M. Rauch. The Lyman Alpha Forest in the Spectra of QSOs. Annual Review of Astronomy and Astrophysics, 36:267–316, 1998.
F. Haardt and P. Madau. Radiative Transfer in a Clumpy Universe. II. The Ultraviolet Extragalactic Background. ApJ, 461:20–+, April 1996.
R. Cen and J. P. Ostriker. Galaxy formation and physical bias. ApJL, 399:L113–L116, November 1992.
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O’shea, B.W. et al. (2005). Introducing Enzo, an AMR Cosmology Application. In: Plewa, T., Linde, T., Gregory Weirs, V. (eds) Adaptive Mesh Refinement - Theory and Applications. Lecture Notes in Computational Science and Engineering, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27039-6_24
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DOI: https://doi.org/10.1007/3-540-27039-6_24
Publisher Name: Springer, Berlin, Heidelberg
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