AMUN Code

The development of the GODUNOV and AMUN codes is now hosted on GitLab, which serves as the central platform for source code management, release distribution, and user support.

All official versions of the codes are maintained in public Git repositories, providing access to the complete development history, tagged releases, and downloadable source archives. GitLab also offers an integrated issue tracker, which should be used to report bugs, request new features, or discuss code-related questions.

The repositories are available at:

• GODUNOV: https://gitlab.com/gkowal/godunov-code
• AMUN: https://gitlab.com/gkowal/amun-code

Users are encouraged to follow the repositories on GitLab to stay informed about updates and new releases. Feedback, issue reports, and contributions are welcome and help improve the codes and their documentation.

The GODUNOV code repository has been moved to Bitbucket. You can find it under the GODUNOV Code project. This repository is public, so anyone is welcome to clone it and contribute to the code.

Grzegorz

Another update of the GODUNOV code to version 2.5 with important changes:

• in the new time step estimation include the acceleration from source terms, such as forcing or gravity; also print the time step limit resulting from the acceleration in the integral file,
• implement magnetic field discontinuity detection in subroutine interpolate() in module OPERATORS, and improve discontinuity detection limits in derivative_1st(),
• implement a new integration of the electromotive force for vector potential update using constrained transport upwind (CTU) method described by Gardiner & Stone (2005),
• rewrite the isothermal HLLD solver,
• compact the integration progress information printed on the screen; also print markers when the integrals, snapshots or restart files are written,
• improve the Python and IDL subroutines to read variables, coordinates, and attributes from the HDF5 snapshots,
• add better bounds for the random subvolume injection in module FORCING,
• a few fixes in modules FORCING and MESH.

In order to track all history changes of the code go to http://amuncode.org/gitphp (Update: the code is hosted on Bitbucket now, go to http://bitbucket.org/amunteam/godunov-code).

Feel free to download the source code from the page Download and if you have any problems or questions, give me a feedback.

A new update of the GODUNOV code version 2.4 with several fixes:

• more general default host file to support more compilers,
• rename bext(:) to buni(:) for the uniform magnetic field components,
• new parameter ‘dtres’ to determine the real time interval for storing the restart dumps,
• new parameter ‘tsfor’ to indicate when the forcing should be shut down,
• add a timer for the I/O operations,
• rewrites and fixes in modules ALGEBRA, EQUATIONS, FORCING, INTEGRALS, MESH, SCHEMES, and TIMERS.

From now there is possibility to track all history changes of the code onhttp://amuncode.org/gitphp (Update: the code is hosted on Bitbucket now, go to http://bitbucket.org/amunteam/godunov-code).

Feel free to download the source code from the page Download and if you have any problems or questions, give me a feedback.

AMUN is a code to perform numerical simulations in a fluid approximation on uniform or adaptive meshes with and without magnetic field. The goal in developing this code is to create a solid framework for simulations on uniform and adaptive meshes in the Cartesian, cylindrical, or spherical coordinate systems with a number of numerical methods which can be selectable in an easy manner. The code is completely written in Fortran 2003.

The following features are already implemented:

• hydrodynamic and magnetohydrodynamic set of equations,
• Cartesian coordinate system,
• uniform and adaptive mesh generation and update,
• 2nd and 3rd order time integration using Runge-Kutta methods,
• 2nd order TVD interpolation with number of limiters, 3rd order LimO3 interpolation, and 5th, 7th, and 9th order Monotonicity Preserving interpolations,
• Riemann solvers of Roe- and HLL-types (HLL, HLLC, and HLLD),
• periodic and open boundary conditions,
• incompressive turbulence driving by the Alvelius method,
• viscosity and resistivity source terms,
• data stored in the HDF5 format,
• MPI parallization,
• full GNU gfortran compatibility.