booz_xform_jax

Install from PyPI:

pip install booz_xform_jax

booz_xform_jax is a JAX-native implementation of the Boozer coordinate transformation for VMEC equilibria. It reads VMEC wout data, computes Boozer Fourier spectra, writes boozmn NetCDF files, exposes a differentiable Python API, and provides a legacy-compatible command line interface matching xbooz_xform workflows.

Quickstart

Install directly from PyPI:

pip install booz_xform_jax

Install from a clone in editable mode when you want to modify the code:

git clone https://github.com/uwplasma/booz_xform_jax
cd booz_xform_jax
python -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -e .

The package installs these entry points:

booz_xform_jax
xbooz_xform
xbooz_xform_jax

CLI usage with a standard STELLOPT-style input file:

booz_xform_jax in_booz.mycase F

or, from a source checkout, using a bundled regression case:

booz_xform_jax tests/test_files/booz_in.circular_tokamak F

Python API usage:

from booz_xform_jax import Booz_xform

bx = Booz_xform()
bx.read_wout("wout_mycase.nc", flux=True)
bx.register_surfaces([0.25, 0.5, 0.75])
bx.run()
bx.write_boozmn("boozmn_mycase.nc")

The runtime dependencies installed from PyPI already include jax, jaxlib, netCDF4, scipy, numpy, matplotlib, and plotly, so the CLI and the NetCDF readers/writers work after a normal pip install.

Documentation

The full documentation now lives in the docs/ tree:

Performance Snapshot

The plots below compare booz_xform_jax and the reference xbooz_xform on a set of bundled VMEC cases.

Case booz_xform_jax xbooz_xform Speedup
Tokamak (small, ns=16) 0.007 s 0.001 s 0.2x
li383 stellarator (ns=48) 0.032 s 0.428 s 14x
LSP stellarator (ns=99) 0.040 s 1.710 s 42x
HSX (large, ns=300) 0.627 s 89.9 s 143x

Reproduce the README comparison assets with:

python tools/readme_compare.py

Project Scope

  • The legacy BOOZ_XFORM input format, surface-selection conventions, and boozmn output structure are supported so existing workflows transfer cleanly.
  • The numerical core is written in JAX and keeps the transform differentiable.
  • The package includes both the object-oriented Booz_xform interface and a lower-level functional API in booz_xform_jax.jax_api.
  • More technical background, equations, derivations, numerics, and source references have been moved from the README into the documentation.

Citation

If you use this package, cite the original Boozer-coordinate and BOOZ_XFORM literature listed in docs/citations.rst, together with this repository.

License

MIT. See LICENSE.

Project links

Data verified by PyPI on Sep 1, 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 (0.3.0)

1 maintainer

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Avatar for rogeriojorge from gravatar.com rogeriojorge

Credits

Author: UWPlasma contributors

GitHub Statistics

Data verified by PyPI on Sep 1, 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 expression

MIT
View SPDX License List

Requires

Python >=3.10

Provides Extra

test docs dev

Tags

boozer coordinates jax plasma physics stellarator vmec

Classifiers

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