Astrophysical Turbulence

Computational Tools

Massively parallelized simulations of compressible turbulent flows in astrophysics are performed, for example, with the following adaptive mesh refinement codes:

A comparision between Enzo and Nyx is presented in Schmidt et al. 2015, Astronomy & Computing 9.

 

A great tool for postprocessing and visualization is the Python package yt. It was originally developed by Matt Turk and is now shared by a large community of users and developers. yt supports several different data formats, including HDF5 and BoxLib, and can be easily operated through IPython notebooks, even on remote machines.

 

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Enzo simulation of isothermal supersonic turbulence driven by stochastic forcing
(from Wolfram Schmidt, Numerical Modelling of Astrophysical Turbulence)