PLEQUE is a Python module allowing simple visualisation and manipulation of tokamak plasma equilibria. For more information see the documentation at https://pleque.readthedocs.io.

Note: The work is still in the early development stage, so pleque probably contains bugs. You are very welcome to submit your wishes, encountered bugs or any other comments as an issue. Minor changes in the code structure may occur before the 0.1.0 release.

The following packages are required to install pleque:

python>=3.5 numpy scipy shapely scikit-image xarray pandas h5py omas 

They should be automatically handled by pip further in the installation process.

First, pick where you wish to install the code:

 cd /desired/path/

There are two options how to get the code: from PyPI or by cloning the repository.

pip install --user pleque

Alternatively, you may use the unstable experimental release (probably with more fixed bugs):

 pip install --user -i https://test.pypi.org/simple/ pleque

git clone https://github.com/kripnerl/pleque.git cd pleque pip install --user .

Congratulations, you have just installed pleque!

The following example shows how to load an equilibrium saved in the eqdsk format. The equilibrium used here comes from a FIESTA simulation of the COMPASS-Upgrade tokamak.

from pleque.io import readers import pkg_resources import matplotlib as plt #Locate a test equilibrium filepath = pkg_resources.resource_filename('pleque', 'resources/baseline_eqdsk')

The heart of pleque is its Equilibrium class, which contains all the equilibrium information (and much more). Typically its instances are called eq.

# Create an instance of the `Equilibrium` class eq = readers.read_geqdsk(filepath)

The Equilibrium class comes with tons of interesting functions and caveats.

# Plot a simple overview of the equilibrium eq.plot_overview() # Calculate the separatrix area sep_area = eq.lcfs.area # Get absolute magnetic field magnitude at given point R = 0.7 #m Z = 0.1 #m B = eq.B_abs(R, Z)

Equilibria may be visualised in many different ways; they may be used for mapping or field line tracing; the possibilities are virtually endless. If there's a caveat you find missing from pleque, write to us! Further examples can be found as notebooks in the notebooks folder or in the examples directory.

0.0.5

• Lukáš Kripner - kripnerl
• Matěj Tomeš - Mateesek

See also the list of contributors who participated in this project.

This project is licensed under the MIT License - see the LICENSE file for details.

• FreeGS - free boundary Grad-Shafranov solver in Python.
• OMFIT is an integrated modeling and experimental data analysis software for magnetically confined thermonuclear fusion experiments. The goal of OMFIT is to enhance existing scientific workflows and enable new integrated modeling capabilities. To achieve these goals OMFIT adopts a bottom-up collaborative development approach.
• OMAS (Ordered Multidimensional Array Structure) is a Python library designed to simplify the interface of third-party codes with the ITER Integrated Modeling and Analysis Suite (IMAS) . ITER IMAS defines a data model, a data get/put API, and a data storage infrastructure used for manipulating ITER data.

• O. Sauter and S. Yu. Medvedev: Tokamak coordinate conventions: COCOS, Computer Physics Communications 184, 293–302 (2013)
• S. Jardin: Computational Methods in Plasma Physics, CRC Press