iris-ued
Ultrafast electron scattering data exploration
GPL-3.0 License
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Published by LaurentRDC over 6 years ago
The package now only has dependencies that can be installed through conda
Published by LaurentRDC over 6 years ago
This is a minor bug-fix release that also includes user interface niceties (e.g. link to online documentation) and user experience niceties (e.g. confirmation message if you forget pixel masks).
Published by LaurentRDC over 6 years ago
This new version includes a completely rewritten library and GUI front-end. Earlier datasets will need to be re-processed.
New features:
- Faster performance thanks to better data layout in HDF5;
- Plug-in architecture for various raw data formats;
- Faster performance thanks to npstreams package;
- Easier to extend GUI skeleton;
- Online documentation accessible from the GUI;
- Continuous integration.
The package is now available on PyPI as iris-ued:
python -m pip install iris-ued
Published by LaurentRDC over 6 years ago
Published by LaurentRDC over 7 years ago
Published by LaurentRDC over 7 years ago
Published by LaurentRDC almost 8 years ago
Published by LaurentRDC over 8 years ago
This release is also the first release with a license.
Changes
- Added a license;
- Simpler interface with HDF5 files;
- Interface to raw datasets (RawDataset object);
- Interface to scan-by-scan plotting (PowderDiffractionDiagnosticDataset);
- Removed 'export to MATLAB' option.
Published by LaurentRDC over 8 years ago
Published by LaurentRDC over 8 years ago
In this release, two major additions:
- Inelastic scattering background subtraction is performed using the multilevel discrete wavelet transform
- HDF5 files can be exported to MATLAB.
Published by LaurentRDC over 8 years ago
Lots of bug fixes and performance improvements.
Added a beta feature: automatic determination of the inelastic scattering background for powder diffraction data
Published by LaurentRDC over 8 years ago
Published by LaurentRDC over 8 years ago
Published by LaurentRDC over 8 years ago
This is the first release that can go the distance. UI is still unpolished.
Published by LaurentRDC over 8 years ago
Users can now preprocess datasets independently of the main app.
Published by LaurentRDC almost 9 years ago
