The fast azimuthal integration Python library: pyFAI

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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Bibliographic Details
Published in:Journal of applied crystallography Vol. 48; no. 2; pp. 510 - 519
Main Authors: Ashiotis, Giannis, Deschildre, Aurore, Nawaz, Zubair, Wright, Jonathan P., Karkoulis, Dimitrios, Picca, Frédéric Emmanuel, Kieffer, Jérôme
Format: Journal Article
Language:English
Published: 5 Abbey Square, Chester, Cheshire CH1 2HU, England International Union of Crystallography 01-04-2015
Blackwell Publishing Ltd
Subjects:
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
Online Access:Get full text
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Description
Summary: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.
Bibliography:istex:5F61AA0356C33B43097395483B25B3C89DBC80CD
ark:/67375/WNG-DF30DGFQ-J
ArticleID:JCR2FV5028
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1600-5767
0021-8898
1600-5767
DOI:10.1107/S1600576715004306