Reliability of astrophysical jet simulations in 2D: On inter-code reliability and numerical convergence
M. Krause, M. Camenzind

TL;DR
This study evaluates the convergence and inter-code reliability of 2D astrophysical jet simulations, revealing how magnetic fields influence convergence and uncovering new small-scale instabilities at high resolutions.
Contribution
It provides a comparative analysis of different simulation codes and resolutions, highlighting convergence behavior and discovering new jet instabilities at high resolution.
Findings
Hydrodynamic jet properties converge at 100 ppb resolution.
Magnetized jets converge at 10 ppb resolution.
High-resolution simulations reveal Kelvin-Helmholtz and Rayleigh-Taylor instabilities.
Abstract
In the present paper, we examine the convergence behavior and inter-code reliability of astrophysical jet simulations in axial symmetry. We consider both, pure hydrodynamic jets and jets with a dynamically significant magnetic field. The setups were chosen to match the setups of two other publications, and recomputed with the MHD code NIRVANA. We show that NIRVANA and the two other codes give comparable, but not identical results. We find that some global properties of a hydrodynamical jet simulation, like e.g. the bow shock velocity, converge at 100 points per beam radius (ppb) with NIRVANA. The situation is quite different after switching on the toroidal magnetic field: In this case, global properties converge even at 10 ppb. In both cases, details of the inner jet structure and especially the terminal shock region are still insufficiently resolved, even at our highest resolution of…
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Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Numerical methods for differential equations · Superconducting Materials and Applications
