The current version of Spasmos includes the following features:
- A Smoothed Particle Hydrodynamics (SPH) package for compressible
fluid flows with support for rigid, periodic, inflow, outflow, Dirichlet, and
Neumann boundary conditions.
- An implementation of the Smoothed Particle Magnetohydrodynamics (SPMHD)
method for ideal magnetohydrodynamics (MHD) with support for conducting
boundaries.
- An explicit/implicit SPH algorithm for modeling magnetic diffusion that
can be combined with SPMHD to model resistive MHD.
- A simple Stefan-Boltzmann radiative cooling model for use with the SPH
algorithms described above.
- An algorithm for anisotropic magnetic diffusion based on the
Meshless Local Petrov-Galerkin (MLPG) method.
- A module that runs Jim Stone's Athena code for easy code-to-code
comparisons in situ.
Descriptions of these algorithms can be found in the author's forthcoming
PhD thesis which will be made available for download here. Because it was
designed to study different numeric methods, Spasmos contains a rich set of
tools for developing physics algorithms:
- A variety of time integrators that can be used with any algorithm
supported by Spasmos.
- A large set of geometric objects representing vectors, tensors, fields,
curves, surfaces, and various analytic space-time functions.
- Base classes for creating physics algorithms and storage ``media" to
hold data.
- Data structures typically used in mesh-free methods (neighbor search
algorithms, interpolators, media).
- Structured and unstructured meshes for grid-based methods.
- Objects that can construct matrices and vectors using the
PETSc
linear solver suite.
- Plotters for simple XY plots using Matplotlib and
the VisIt 2D/3D visualization tool.
- A framework for representing material models including equations of state,
dynamic electrical resistivities, and others
- Support for Cartesian, cylindrical, and spherical coordinates in 1D, 2D,
and 3D, and transformations between each of these coordinate systems.
