Dependencies

Requires Python 3.8 or newer, preferably >3.10.

• Numpy

• Scipy

• Trimesh

• CVXPY

• Matplotlib

• Pyvista

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.