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An open-source software ecosystem for the interactive exploration of ultrafast electron scattering data
This paper details a software ecosystem comprising three free and open-source Python packages for processing raw ultrafast electron scattering (UES) data and interactively exploring the processed data. The first package, iris , is graphical user-interface program and library for interactive explorat...
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Published in: | Advanced structural and chemical imaging 2018-09, Vol.4 (1), p.11-11, Article 11 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper details a software ecosystem comprising three free and open-source Python packages for processing raw ultrafast electron scattering (UES) data and interactively exploring the processed data. The first package,
iris
, is graphical user-interface program and library for interactive exploration of UES data. Under the hood,
iris
makes use of
npstreams
, an extensions of
numpy
to streaming array-processing, for high-throughput parallel data reduction. Finally, we present
scikit-ued
, a library of reusable routines and data structures for analysis of UES data, including specialized image processing algorithms, simulation routines, and crystal structure manipulation operations. In this paper, some of the features or all three packages are highlighted, such as parallel data reduction, image registration, interactive exploration. The packages are fully tested and documented and are released under permissive licenses. |
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ISSN: | 2198-0926 2198-0926 |
DOI: | 10.1186/s40679-018-0060-y |