REGCOIL

A regularized current potential method for fast computation of the shapes of stellarator coils

This program is described in the paper M Landreman, "An improved current potential method for fast computation of stellarator coil shapes," Nuclear Fusion 57, 046003 (2017), which is available in this repository and also at arXiv:1609.04378.

This repository provides a pip-installable python package, with compiled kernels for the computationally intensive steps. The original fortran implementation of the REGCOIL algorithm is available in the companion repository https://github.com/landreman/regcoil_fortran

Installation

This package is available on pypi (which provides pre-compiled wheels), so it can be installed in the usual way with pip:

pip install regcoil

If you want updates that are more recent than the most recent release, or if you want to edit the source code, you can also install regcoil from source. To do so, first clone the repository and then pip-install from the local repository:

git clone https://github.com/landreman/regcoil.git
cd regcoil
pip install "meson-python>=0.16.0"
pip install .[dev]

For editable installs from source, it is necessary to include the --no-build-isolation flag due to a quirk of the meson build system:

pip install --no-build-isolation -e .[dev]

From the cloned repository, tests can be run using

pytest

Quickstart

import regcoil

ds = regcoil.examples("W7-X")  # Or "NCSX"
# ds then provides paths to a vmec wout file, simsopt virtual casing file,
# stellopt bnorm file, and coil winding surface in nescin format.

# Define the plasma boundary surface:
plasma = regcoil.PlasmaSurface.from_wout(ds.wout, ntheta=64, nzeta=64)
# Assign B_normal data associated with the plasma current:
plasma.set_bnormal_from_virtual_casing(ds.vcasing)

# Define a coil winding surface:
coil = regcoil.CoilSurface.from_uniform_offset(
    plasma, separation=0.3, ntheta=64, nzeta=64, mpol=12, ntor=12
)

problem = regcoil.Regcoil(plasma, coil, mpol_potential=12, ntor_potential=12)
solution = problem.solve(lam=1e-14)
# You can also solve for a range of lambda values, or search for lambda that 
# results in a desired f_B, f_K, max_K, etc
print(f"f_B = {solution.f_B:.1e}, f_K = {solution.f_K:.1e}")
# f_B = 2.7e-01, f_K = 1.1e+15

# Results can then be saved and plotted.

Full documentation, covering installation, typical usage, saving/loading data, plotting, and the API reference, are available at regcoil.readthedocs.io.

Project links

Data verified by PyPI on Jul 23, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Newer release available (0.1.3)

1 maintainer

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Avatar for mattland from gravatar.com mattland

Credits

Author: Matt Landreman

GitHub Statistics

Data verified by PyPI on Jul 23, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

BSD-2-Clause

Requires

Python >=3.10

Provides Extra

dev docs

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0.1.3

25 files

0.1.2

25 files

This release

0.1.1 This release

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0.1.0

21 files

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