Skip to main content

Open-source Python software for magnetic field modeling

Project description


bfieldtools


GH-Actions Codecov Zenodo pypi

bfieldtools is a software package for magnetic field modeling with an emphasis on magnetic field generated by a continuous surface-current density. The surface-current density is described by a piecewise linear stream function on a triangle mesh.

The software currently features
  • Discrete calculus on triangle meshes, including the Laplacian, gradient, divergence and curl

  • Mesh operators (matrices) for inductance and resistance

  • Magnetic field as well as scalar and vector potentials of surface-current densities

  • Magnetic field as well as scalar and vector potentials of polyline currents

  • Spherical harmonics (multipole) representation of the magnetic field

  • Surface harmonics (Laplace-Beltrami eigenfunctions) for series expansion of the stream function

  • Coil design using convex optimization

  • Magnetic thermal noise of thin conductors

Dependencies

Requires Python 3.8 or newer, preferably >3.10.

Documentation

Online documentation, including an API reference and examples can be found at https://bfieldtools.github.io/.

Installing bfieldtools

To install bfieldtools using pip, simply run:

pip install bfieldtools

For advanced installation instructions, see the online installation instructions.

Citing bfieldtools

When using the software package in a publication, please cite the following articles:

@article{doi:10.1063/5.0016090,
        author = {Mäkinen, Antti J. and Zetter, Rasmus and Iivanainen, Joonas and Zevenhoven, Koos C. J. and Parkkonen, Lauri and Ilmoniemi, Risto J.},
        title = {Magnetic-field modeling with surface currents. Part I. Physical and computational principles of bfieldtools},
        journal = {Journal of Applied Physics},
        volume = {128},
        number = {6},
        pages = {063906},
        year = {2020},
        doi = {10.1063/5.0016090},
        URL = {https://doi.org/10.1063/5.0016090},
        eprint = {https://doi.org/10.1063/5.0016090}
}


@article{doi:10.1063/5.0016087,
        author = {Zetter, Rasmus and Mäkinen, Antti J. and Iivanainen, Joonas and Zevenhoven, Koos C. J. and Ilmoniemi, Risto J. and Parkkonen, Lauri},
        title = {Magnetic field modeling with surface currents. Part II. Implementation and usage of bfieldtools},
        journal = {Journal of Applied Physics},
        volume = {128},
        number = {6},
        pages = {063905},
        year = {2020},
        doi = {10.1063/5.0016087},
        URL = {https://doi.org/10.1063/5.0016087},
        eprint = {https://doi.org/10.1063/5.0016087}
}

When using the thermal noise computations, please cite this preprint in arXiv.

Contributing

bfieldtools is under active development, and contributions are warmly welcome! For new functionality, please write tests to accompany the code! bfieldtools uses Black for code style enforcement, please run Black on any new code.

In general, The MNE-Python project provides an overview of good practices that (when applicable) should be followed in bfieldtools as well.

License

bfieldtools is BSD-licenced (3 clause):

Copyright (c) 2019, authors of bfieldtools. All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

  • Neither the names of bfieldtools authors nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission.

This software is provided by the copyright holders and contributors “as is” and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.

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

bfieldtools-0.11.3.tar.gz (46.9 MB view hashes)

Uploaded Source

Built Distribution

bfieldtools-0.11.3-py3-none-any.whl (1.2 MB view hashes)

Uploaded Python 3

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