MAESTRO
swMATH ID:  11176 
Software Authors:  Nonaka; A. S. Almgren; J. B. Bell; M. J. Lijewski; C. M. Malone; M. Zingale 
Description:  Maestro: an adaptive low mach number hydrodynamics algorithm for stellar flows. Many astrophysical phenomena are highly subsonic, requiring specialized numerical methods suitable for longtime integration. In a series of earlier papers we described the development of MAESTRO, a low Mach number stellar hydrodynamics code that can be used to simulate longtime, lowspeed flows that would be prohibitively expensive to model using traditional compressible codes. MAESTRO is based on an equation set derived using low Mach number asymptotics; this equation set does not explicitly track acoustic waves and thus allows a significant increase in the time step. MAESTRO is suitable for two and threedimensional local atmospheric flows as well as threedimensional fullstar flows. Here, we continue the development of MAESTRO by incorporating adaptive mesh refinement (AMR). The primary difference between MAESTRO and other structured grid AMR approaches for incompressible and low Mach number flows is the presence of the timedependent base state, whose evolution is coupled to the evolution of the full solution. We also describe how to incorporate the expansion of the base state for fullstar flows, which involves a novel mapping technique between the onedimensional base state and the Cartesian grid, as well as a number of overall improvements to the algorithm. We examine the efficiency and accuracy of our adaptive code, and demonstrate that it is suitable for further study of our initial scientific application, the convective phase of Type Ia supernovae. 
Homepage:  http://amrexastro.github.io/MAESTRO/ 
Related Software:  CASTRO; BoxLib; FLASH; RODAS; Carpet; CFDLIB; Nyx; Chombo; Cactus; Uintah; pySDC; TRANSPORT; GRIMech 3.0; CHEMKIN; HOLOMAC; VODE; HEE1GODF; VisIt; MPDATA; Kranc 
Cited in:  12 Publications 
Standard Articles
1 Publication describing the Software, including 1 Publication in zbMATH  Year 

Low Mach number modeling of stratified flows. Zbl 1304.76032 Almgren, Ann; Bell, John; Nonaka, Andrew; Zingale, Michael 
2014

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top 5
Cited by 27 Authors
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top 5
Cited in 6 Serials
Cited in 4 Fields
10  Fluid mechanics (76XX) 
7  Numerical analysis (65XX) 
3  Partial differential equations (35XX) 
3  Classical thermodynamics, heat transfer (80XX) 