The Community for Technology Leaders
Green Image
Issue No. 02 - March/April (2009 vol. 11)
ISSN: 1521-9615
pp: 24-33
Michael Zingale , Stony Brook University
Ann S. Almgren , Lawrence Berkeley National Laboratory
John B. Bell , Lawrence Berkeley National Laboratory
Andy Nonaka , Lawrence Berkeley National Laboratory
A common feature of astrophysical flows is that they typically span a broad range of length and time scales. Specialized numerical algorithms that exploit the relationships between these scales can significantly improve the efficiency of numerical simulations without loss of accuracy. In the case of highly subsonic flows, hydrodynamics algorithms that filter sound waves but retain both local and large-scale compressibility effects can give accurate and efficient solutions. The authors describe the process by which an understanding of the important processes in Type Ia supernovae is guiding the development of new algorithms to model these phenomena.
computing mathematics, numerical analysis, partial differential equations, computing methodologies, simulation, modeling, visualization, applications, computer applications, physical sciences and engineering, astronomy
Michael Zingale, Ann S. Almgren, John B. Bell, Andy Nonaka, "A New Low Mach Number Approach in Astrophysics", Computing in Science & Engineering, vol. 11, no. , pp. 24-33, March/April 2009, doi:10.1109/MCSE.2009.21
87 ms
(Ver )