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pyFAI: Fast Azimuthal Integration in Python

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 31 Jan 2025Publisher:Zenodo
Authors: Kieffer, Jerome; Valls, Valentin; Gutierrez-Fernandez, Edgar; Ashiotis, Giannis; Karkoulis, Dimitris; Nawaz, Zubair; Deschildre, Aurore; +25 Authors
Code repository: https://github.com/silx-kit/pyFAI/tree/v2025.12.1

doi: 10.5281/zenodo.832896 , 10.5281/zenodo.19187882 , 10.5281/zenodo.17984195 , 10.5281/zenodo.18802571 , 10.5281/zenodo.14779588 , 10.5281/zenodo.15023377

pyFAI: Fast Azimuthal Integration in Python

Abstract

New features: Implement renormalization of integration results (#2737) Put the workerConfiguration in a scroll-area (#2779) Bug fixes: Result of 2d integration from pyFAI-integrate has wrong interpretation "spectrum" not "image" in Nexus (#2812) Prevent the usage of compilers other than MSVC on Windows Ensure application's help is available on Windows too Prevent GUI exception, related to detector definition (#2828) Implement parallax correction for ring extraction, when requested Fix regression in recalculate_means, switch math to numepr Fix relative path issue under Windows (#2823) Fix RingExtractor calling message_box from a QThread, violating Qt threading rules. Supports python 3.10-3.14, 3.14t is untested. 32 commits over 1 month Contributors for this release: Tianyi Ma Edgar Gutierrez-Fernandez Thomas Vincent Jérôme Kieffer

If you use pyFAI, please cite it as below.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average