MAESTRO: An Adaptive Low Mach Number Hydrodynamics Algorithm for Stellar Flows
A. Nonaka, A. S. Almgren, J. B. Bell, M. J. Lijewski, C. M. Malone, M., Zingale

TL;DR
MAESTRO is an advanced low Mach number hydrodynamics code with adaptive mesh refinement, enabling efficient long-time simulations of subsonic stellar flows, including full-star supernova models, by avoiding acoustic wave tracking.
Contribution
This paper extends MAESTRO by integrating adaptive mesh refinement and a novel base state expansion technique for full-star simulations.
Findings
Efficient long-time simulation of subsonic stellar flows.
Accurate modeling of full-star supernova convection.
Demonstrated suitability for Type Ia supernova studies.
Abstract
Many astrophysical phenomena are highly subsonic, requiring specialized numerical methods suitable for long-time 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 long-time, low-speed 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 three-dimensional local atmospheric flows as well as three-dimensional full-star 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…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
