The fast azimuthal integration Python library: pyFAI

pyFAI is an open‐source software package designed to perform azimuthal integration and, correspondingly, two‐dimensional regrouping on area‐detector frames for small‐ and wide‐angle X‐ray scattering experiments. It is written in Python (with binary submodules for improved performance), a language wi...

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Vydáno v:Journal of applied crystallography Ročník 48; číslo 2; s. 510 - 519
Hlavní autoři: Ashiotis, Giannis, Deschildre, Aurore, Nawaz, Zubair, Wright, Jonathan P., Karkoulis, Dimitrios, Picca, Frédéric Emmanuel, Kieffer, Jérôme
Médium: Journal Article
Jazyk:angličtina
Vydáno: 5 Abbey Square, Chester, Cheshire CH1 2HU, England International Union of Crystallography 01.04.2015
Blackwell Publishing Ltd
International Union of Crystallography / Wiley
Témata:
Calibration
Chemical Sciences
Communities
computer programs
Crystallography
data reduction
Frames
Freeware
geometry calibration
GPU programming
image analysis
Libraries
Open source software
powder diffraction
Python
Research Papers
Scattering
small-angle X-ray scattering
Software packages
Two dimensional
Wide angle X ray scattering
data reduction
computer programs
GPU programming
small-angle X-ray scattering
geometry calibration
image analysis
Python
powder diffraction
ISSN:1600-5767, 0021-8898, 1600-5767
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Popis
Shrnutí:pyFAI is an open‐source software package designed to perform azimuthal integration and, correspondingly, two‐dimensional regrouping on area‐detector frames for small‐ and wide‐angle X‐ray scattering experiments. It is written in Python (with binary submodules for improved performance), a language widely accepted and used by the scientific community today, which enables users to easily incorporate the pyFAI library into their processing pipeline. This article focuses on recent work, especially the ease of calibration, its accuracy and the execution speed for integration.
Bibliografie:istex:5F61AA0356C33B43097395483B25B3C89DBC80CD
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ArticleID:JCR2FV5028
ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1600-5767
0021-8898
1600-5767
DOI:10.1107/S1600576715004306