The fast azimuthal integration Python library: pyFAI

By Giannis Ashiotis, A. Deschildre, Zubair Nawaz, Jonathan P. Wright, Dimitrios Karkoulis, F. Picca, Jérôme Kieffer. Journal of Applied Crystallography, 2015

597 citations recorded by the source corpus.

This article details the geometry, peak-picking, calibration and integration procedures on multi- and many-core devices implemented in the Python library for high-performance azimuthal integration.

Subfields: Geophysics, Materials Chemistry, Radiation

View Paper: https://www.semanticscholar.org/paper/9aec7af40f5bafd91d29da80079a86523fa868ce

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Geophysics

1. C. Prescher
2. Richard E. Gillilan
3. V. Prakapenka
4. Søren T Skou
5. Jesse Hopkins

In Materials Chemistry

1. Richard E. Gillilan
2. V. Prakapenka
3. Søren T Skou
4. Jesse Hopkins

In Radiation

1. Richard E. Gillilan
2. V. Prakapenka
3. C. Prescher
4. Søren T Skou
5. Jesse Hopkins

Citations in the corpus

• BioXTAS RAW: improvements to a free open-source program for small-angle X-ray scattering data reduction and analysis (2017, methodology): “It also calls the pyFAI library (Ashiotis et al., 2015) to automatically calculate sample–detector distance and beam center position using a known calibrant.”
• DIOPTAS: a program for reduction of two-dimensional X-ray diffraction data and data exploration (2015, methodology): “For image integration and parts of the calibration process, the pyFAI [10] library is employed.”