iris-ued 5.1.3

Ultrafast electron diffraction data exploration

Contents

• Installation

• Usage

• Test Data

• Documentation

• Citations

• Support / Report Issues

• License

Iris is both a library for interacting with ultrafast electron diffraction data, as well as a GUI frontend for interactively exploring this data.

Iris also includes a plug-in manager so that you can explore your data.

Two instances of the iris GUI showing data exploration for ultrafast electron diffraction of single crystals and polycrystals.

Installation

Starting with iris 5.1.0, Windows standalone installers are now available!. This will install iris as a standalone program, completely independent from other Python installations on your system. This way should be preferred for those who do not need to interact with data outside of iris. Standalone installers are available on the releases page.

To interact with iris datasets from a Python environment, the iris-ued package must be installed. iris is available on PyPI; it can be installed with pip.:

python -m pip install iris-ued

iris is also available on the conda-forge channel:

conda config --add channels conda-forge
conda install iris-ued

To install the latest development version from Github:

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

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

Usage

Once installed, the package can be imported as iris.

The GUI component can be launched from a command line interpreter as python -m iris or pythonw -m iris (no console window).

Test Data

Test datasets are made available on the Siwick research group public data server, which can be accessed anonymously here.

Documentation

The Documentation on readthedocs.io provides API-level documentation, as well as tutorials.

Citations

If you find this software useful, please consider citing the following publications:

[1]

L. P. René de Cotret, M. R. Otto, M. J. Stern. and B. J. Siwick, An open-source software ecosystem for the interactive exploration of ultrafast electron scattering data, Advanced Structural and Chemical Imaging 4:11 (2018) DOI: 10.1186/s40679-018-0060-y

[2]

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.

Support / Report Issues

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

License

iris is made available under the MIT License. For more details, see LICENSE.txt.