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Collection of algorithms and functions for ultrafast electron diffraction

Project description

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Collection of algorithms and functions for ultrafast electron diffraction.

Getting Started with scikit-ued

scikit-ued is available on PyPI; it can be installed with pip.:

python -m pip install scikit-ued

To install the latest development version from Github:

python -m pip install git+git://github.com/LaurentRDC/scikit-ued.git

Each version is tested against Python 3.5 and 3.6. If you are using a different version, tests can be run using the standard library’s unittest module.

After installing scikit-ued you can use it like any other Python module as skued.

Citations

If you are using the skued.baseline subpackage, consider citing the following publication:

[1]L. P. René de Cotret and B. J. Siwick, A general method for baseline-removal in ultrafast electron powder diffraction data using the dual-tree complex wavelet transform, Struct. Dyn. 4 (2017) DOI: 10.1063/1.4972518.

API Reference

The API Reference on readthedocs.io provides API-level documentation.

Support / Report Issues

All support requests and issue reports should be filed on Github as an issue.

License

scikit-ued is made available under the MIT License. For more details, see LICENSE.txt.

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