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 (from_wout accepts a filename or simsopt.mhd.Vmec object):
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
)
# Visualize the plasma and coil winding surfaces before solving:
regcoil.plot.cross_sections(plasma, coil)
regcoil.plot.plot_3d(plasma=plasma, winding_surface=coil)
problem = regcoil.Regcoil(plasma, coil, mpol_potential=12, ntor_potential=12)
# You can solve the system with a specific value of the regularization parameter
# lambda, or scan over a range of lambdas, or search for the lambda that achieves
# a desired value of a metric such as f_B, f_K, max_K, or avg_Bnormal_over_B:
solution = problem.solve_for_target("avg_Bnormal_over_B", 0.005)
print(f"f_B = {solution.f_B:.1e}, f_K = {solution.f_K:.1e}")
# f_B = 5.0e-02, f_K = 1.1e+15
# Save the plasma and coil surfaces along with the solution:
solution.save("regcoil_out.nc")
# Cut discrete coils from the current potential and plot them:
cut_coils = solution.cut(coils_per_half_period=5)
regcoil.plot.plot_3d(plasma=plasma, coils=cut_coils)
Full documentation, covering installation, typical usage, saving/loading data, plotting, and the API reference, are available at regcoil.readthedocs.io.
Metadata
Release files for regcoil 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| regcoil-0.1.3.tar.gz | 14.0 MB | Details |
Built distributions (wheels)
Total release size: 234.3 MB
Release files / regcoil-0.1.3.tar.gz
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Transparency logRelease files / regcoil-0.1.3-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
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Transparency logRelease files / regcoil-0.1.3-cp311-cp311-macosx_15_0_x86_64.whl
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Transparency logRelease files / regcoil-0.1.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
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