Skip to main content

Python tools for magnetic equilibria in tokamak plasmas

Project description

eqtools

Introduction

Python tools for magnetic equilibria in tokamak plasmas. Provides framework for portable, modular tools for manipulation of magnetic equilibria in tokamak plasmas, including mapping of flux surfaces into a variety of coordinate systems. Includes tools for handling EFIT data stored in Alcator C-Mod MDSPlus trees, as well as eqdsk files.

Full documentation is available at http://eqtools.readthedocs.org/

Package Dependencies

The following packages are required or recommended:

  • NumPy: Required.
  • SciPy: Required.
  • F2PY: Optional, needed to build the optional trispline module.
  • matplotlib: Optional, needed to produce plot of flux surfaces.
  • MDSplus: Optional, needed to use data stored in MDSplus trees.
  • dd: Optional, needed to use data from ASDEX-Upgrade shotfiles.

All of these should be available via pip (and should be installed automatically if you run pip install eqtools as described in the next section). If you wish to build in place, you may first need to run:

pip install numpy scipy f2py matplotlib

Installation

The easiest way to install the latest release version is with pip:

pip install eqtools

To install from source, uncompress the source files and, from the directory containing setup.py, run the following command:

python setup.py install

Or, to build in place, run:

python setup.py build_ext --inplace

If you build in place, you will also need to add your eqtools folder to your PYTHONPATH shell variable:

export PYTHONPATH=$PYTHONPATH:/path/to/where/you/put/eqtools/

Running Tests

Two tests are included:

  • test.py uses the module SolovievEFIT to compare the result from eqtools to Soloviev's analytic solution to the Grad-Shafranov equation for circular flux surfaces. Running this script in an interactive Python session will yield a number of plots, where you can verify that the analytic and eqtools results agree.

  • unittests.py contains many tests of the internal consistency of the coordinate mapping routines. By default, it will try to access data from the Alcator C-Mod tree. If this is not possible, it will try to load its data from the file test_data.pkl. You may wish to modify the script to pull in data from your own local site to make sure the specific version you need is working properly. To run these tests, from the directory containing unittests.py and test_data.pkl, run the command:

      python unittests.py
    

Summary of Files

The following files comprise the eqtools package:

  • LICENSE.md: The license file. eqtools is released under the terms of the GNU General Public License (GPL), version 3.
  • README.md: This readme file.
  • setup.py: The setuptools setup file. See above for installation instructions.

The package contents itself are in the eqtools directory:

  • __init__.py: Initialization file for the Python package.
  • core.py: Contains the basic classes the package is built with.
  • EFIT.py: Contains abstract classes to access data generated by the EFIT equilibrium reconstruction code.
  • CModEFIT.py: Contains classes to access Alcator C-Mod data.
  • D3DEFIT.py: Contains classes to access DIII-D data.
  • NSTXEFIT.py: Contains classes to access NSTX data.
  • TCVLIUQE.py: Contains classes to access TCV data.
  • FromArrays.py: Contains classes to construct equilibria from arrays of data.
  • trispline.py: Contains Python wrappers for the functions defined in _tricub.pyf.
  • _tricub.c: C implementation of tricubic spline interpolation.
  • _tricub.pyf: F2PY wrapper for _tricub.c.
  • afilereader.py: Contains classes to read the data from EFIT "a" files.
  • pfilereader.py: Contains classes to read EFIT "p" files.
  • eqdskreader.py: Contains classes to read EFIT eqdsk files.
  • filewriter.py: Contains classes to write EFIT eqdsk files.

Test scripts are provided in the tests directory:

  • SolovievEFIT.py: Contains classes to construct analytic Soloviev equilibria with circular flux surfaces.
  • test.py: Compares the analytical solution to the results from eqtools for Soloviev's solution to the Grad-Shafranov equation with circular flux surfaces.
  • unittests.py: Conducts extensive consistency checks on all of the coordinate mapping routines.
  • demo.py: Contains a very bare-bones demo to make sure eqtools is working. For a more detailed tutorial, refer to the documentation at http://eqtools.readthedocs.org/

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eqtools-1.4.0.tar.gz (137.8 kB view details)

Uploaded Source

File details

Details for the file eqtools-1.4.0.tar.gz.

File metadata

  • Download URL: eqtools-1.4.0.tar.gz
  • Upload date:
  • Size: 137.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for eqtools-1.4.0.tar.gz
Algorithm Hash digest
SHA256 a27c9c36b766dc9346879ffc7dad416108b3112a39cae044c14eac13946adac8
MD5 a70e53766179f849c3f051e135c1f01e
BLAKE2b-256 629678a42a82e3e7e3c99cf47ad158af7bb2614e21f466d5eb20814cce4bf4e4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page