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.
To interact with iris datasets from a Python environment, the iris 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 3.8+. If you are using a different
version, tests can be run using the pytest package.
For Windows, installers are available on the Releases page. You will still need to install iris via pip or conda to use the scripting functionality.
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). See the documentation
for a visual guide.
The Documentation on readthedocs.io provides API-level documentation, as well as tutorials.
If you find this software useful, please consider citing the following publication:
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.
If you are using the baseline-removal functionality of iris-ued, please consider citing the following publication:
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.
All support requests and issue reports should be filed on Github as an issue.
iris is made available under the GPLv3 License. For more details, see LICENSE.txt.
FAQs
Ultrafast electron diffraction data exploration
We found that iris-ued demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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