Python package for the analysis and visualisation of finite-difference fields.

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  • License: BSD License (Copyright 2023, Marijan Beg and Hans Fangohr Redistribution and use in source and binary forms, wit...)
  • Author: Marijan Beg, Martin Lang, Samuel Holt, Swapneel Amit Pathak, Ryan A. Pepper, Hans Fangohr
  • Requires: Python >=3.8
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Project description

discretisedfield

Marijan Beg1,2, Martin Lang2, Samuel Holt2,3, Swapneel Amit Pathak2,4, Ryan A. Pepper5, and Hans Fangohr2,4,6

1 Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK
2 Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK
3 Department of Physics, University of Warwick, Coventry CV4 7AL, UK
4 Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, 22761 Hamburg, Germany
5 Research Software Group, University of Birmingham, Birmingham B15 2TT, UK
6 Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany

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About

discretisedfield is a Python package, integrated with Jupyter, providing:

  • definition of finite-difference regions, meshes, lines, and fields,

  • analysis of finite-difference fields,

  • visualisation using matplotlib and k3d, and

  • manipulation of different file types (OVF, VTK, and HDF5).

It is available on Windows, MacOS, and Linux. It requires Python 3.8+.

Documentation

APIs and tutorials are available in the documentation. To access the documentation, use the badge in the table above.

Installation, testing, and upgrade

We recommend installation using conda package manager. Instructions can be found in the documentation.

Binder

This package can be used in the cloud via Binder. To access Binder, use the badge in the table above.

YouTube

YouTube video tutorials are available on the Ubermag channel.

Support

If you require support, have questions, want to report a bug, or want to suggest an improvement, please raise an issue in ubermag/help repository.

Contributions

All contributions are welcome, however small they are. If you would like to contribute, please fork the repository and create a pull request. If you are not sure how to contribute, please contact us by raising an issue in ubermag/help repository, and we are going to help you get started and assist you on the way.

Contributors:

License

Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the LICENSE file.

How to cite

  1. M. Beg, M. Lang, and H. Fangohr. Ubermag: Towards more effective micromagnetic workflows. IEEE Transactions on Magnetics 58, 7300205 (2022).

  2. M. Beg, R. A. Pepper, and H. Fangohr. User interfaces for computational science: A domain specific language for OOMMF embedded in Python. AIP Advances 7, 56025 (2017).

  3. Marijan Beg, Martin Lang, Samuel Holt, Swapneel Amit Pathak, Ryan A. Pepper, and Hans Fangohr. discretisedfield: Python package for the analysis and visualisation of finite-difference fields. DOI: 10.5281/zenodo.3539461 (2023).

Acknowledgements

  • OpenDreamKit – Horizon 2020 European Research Infrastructure project (676541)

  • EPSRC Programme Grant on Skyrmionics (EP/N032128/1)

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  • License: BSD License (Copyright 2023, Marijan Beg and Hans Fangohr Redistribution and use in source and binary forms, wit...)
  • Author: Marijan Beg, Martin Lang, Samuel Holt, Swapneel Amit Pathak, Ryan A. Pepper, Hans Fangohr
  • Requires: Python >=3.8
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0.91.0

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