Tokamesh is a Python package which provides tools for constructing meshes and geometry matrices used in tomographic inversion problems in toroidal fusion-energy devices such as MAST-U.
- Advanced geometry matrix calculation
- Tokamesh constructs geometry matrices using barycentric linear-interpolation rather
than the typical zeroth-order interpolation. This allows for accurate tomographic
inversions with a significantly lower number of basis functions.
- Tokamesh constructs geometry matrices using barycentric linear-interpolation rather
than the typical zeroth-order interpolation. This allows for accurate tomographic
inversions with a significantly lower number of basis functions.
- Tomography-optimised mesh construction
- Tokamesh provides tools to create meshes that are optimised for tomography problems,
e.g. local-refinement of triangles to increase mesh density in areas where it is
needed without greatly increasing the size of the mesh.
- Tokamesh provides tools to create meshes that are optimised for tomography problems,
e.g. local-refinement of triangles to increase mesh density in areas where it is
needed without greatly increasing the size of the mesh.
Jupyter notebooks are available which demonstrate mesh construction and geometry matrix calculation.
Tokamesh is available from PyPI, so can be easily installed using pip as follows:
pip install tokameshThe package documentation is available at tokamesh.readthedocs.io.