tofu stands for Tomography for Fusion, it is an IMAS-compatible open-source machine-independent python library.
tofu tries to take an active part in the plasma community open-source python environment, like PlasmaPy, with which some degree of interoperability is being implemented.
It aims at providing the fusion and plasma community with an object-oriented, transparent and documented tool for designing tomography diagnostics, computing synthetic signal (direct problem) as well as tomographic inversions (inverse problem). It gives access to a full 3D description of the diagnostic geometry, thus reducing the impact of geometrical approximations on the direct and, most importantly, on the inverse problem.
tofu is relevant for all diagnostics integrating, in a finitie field of view or along a set of lines of sight, a quantity (scalar or vector) for which the plasma can be considered transparent (e.g.: light in the visible, UV, soft and hard X-ray ranges, or electron density for interferometers).
tofu is command-line oriented, for maximum flexibility and scriptability. The absence of a GUI is compensated by built-in one-liners for interactive plots.
Here are some examples of what tofu can do
tofu provides the user with a series of python classes for creating, handling and visualizing a diagnostic geometry, meshes and basis functions, geometry matrices, pre-treating experimental data and computing tomographic inversions.
Each one of these main tasks is accomplished by a dedicated module in the larger tofu package.
The geometry module is sufficient for diagnostic designing and for a synthetic diagnostic approach (i.e.: computing the integrated signal from a simulated 2D or 3D emissivity). This geometry module allows in particular:
It is in this geometrical sense that tofu enables a synthetic diagnostic approach, it does not provide the tools for simulating the emissivity itself (that should be an input, provided by another code).
IMAS is a standardized data structure, it comes as an extra layer on the database of any Tokamak to provide a machine-independent way of accessing scientific data. tofu has built-in advanced classes for handling the interface with IMAS, hold in the imas2tofu sub-package. It pre-supposes, of course, that IMAS is installed and operational next to your python install, but tofu does not require IMAS to run in general. If IMAS is not available, tofu will simply display a warning stating that the imas2tofu sub-package is not usable.
tofu can thus easily load and handle multiple IDSs (IMAS data structure units) and provide command-line tools for exporting IMAS data to other general tofu classes (e.g.: Cameras, Plasma2D...) and for interactive plotting.
All tofu objects have methods to facailitate in-python-console introspection, the
__repr__ method is overloaded to display relevant information, an dthis is widely used to explore the data loaded from IMAS.
Do you want to use tofu on IMAS and don't know where to start? See our documetation.
From source (compiled on your system using pip, all platforms)
pip install tofu
From pre-compiled binaries (using conda, all platforms)
conda install -c conda-forge tofu
For Developers and other platforms
Clone the git repository from github See our documentation.
It is distributed under the MIT license and aims at providing the fusion community with a transparent and modular tool for creating / designing diagnostics and using them for synthetic diagnostic (direct problem) and tomography (inverse problem).
It was first created at the Max-Planck Institute for Plasma Physics (IPP) in Garching, Germany, by Didier Vezinet, and is now maintained, debugged and updated by a team of contributors.
Warning This Pypi package focuses on tomography for fusion research. It uses the same name as a previous package dedicated to a testing framework coupling fixtures and tests loosely, now renamed reahl-tofu and developped by Iwan Vosloo since 2006. If you ended up here looking for a web-oriented library, you should probably redirect to the more recent reahl-tofu page.