Benchmarking the Multi-dimensional Stellar Implicit Code MUSIC

TL;DR

This paper benchmarks the MUSIC code, a multi-dimensional stellar hydrodynamics solver, demonstrating its accuracy and flexibility through various complex tests relevant to stellar interiors, and compares it with established codes.

Contribution

It provides a comprehensive benchmark of the MUSIC code against other codes and theoretical expectations for stellar hydrodynamics problems.

Findings

MUSIC accurately reproduces results from established codes.

The code effectively handles complex stellar interior physics.

The preconditioning technique enhances solver performance.

Abstract

We present the results of a numerical benchmark study for the MUlti-dimensional Stellar Implicit Code (MUSIC) based on widely applicable two- and three-dimensional compressible hydrodynamics problems relevant to stellar interiors. MUSIC is an implicit large eddy simulation code that uses implicit time integration, implemented as a Jacobian-free Newton Krylov method. A physics based preconditioning technique which can be adjusted to target varying physics is used to improve the performance of the solver. The problems used for this benchmark study include the Rayleigh-Taylor and Kelvin-Helmholtz instabilities, and the decay of the Taylor-Green vortex. Additionally we show a test of hydrostatic equilibrium, in a stellar environment which is dominated by radiative effects. In this setting the flexibility of the preconditioning technique is demonstrated. This work aims to bridge the gap between the hydrodynamic test problems typically used during development of numerical methods and the complex flows of stellar interiors. A series of multi-dimensional tests are performed and analysed. Each of these test cases is analysed with a simple, scalar diagnostic, with the aim of enabling direct code comparisons. As the tests performed do not have analytic solutions we verify MUSIC by comparing to established codes including ATHENA and the PENCIL code. MUSIC is able to both reproduce behaviour from established and widely-used codes as well as results expected from theoretical predictions. This benchmarking study concludes a series of papers describing the development of the MUSIC code and provides confidence in the future applications.