Speaker
Description
4th generation synchrotron sources provide two orders of magnitude more coherent photons, and thus the ability to collect coherent X-ray imaging datasets faster and/or with a higher resolution. Consequently, the increased volume of data requires dedicated tools to fully take advantage of the improved coherent flux.
PyNX[1,2,3] is developed at ESRF - it has been written from the ground up to provide state-of-the-art performance using optimised GPU programming, both in terms of speed and memory requirements (to handle larger datasets). It is used on multiple beamlines notably at ESRF, Soleil, Petra-III, Sirius, TPS, with scripts for data analysis easily expandable to new instruments (only the data input functions need to be updated). Input/output using the standard CXI format is also supported.
We will present the applications to various experimental techniques: Coherent Diffraction Imaging (CDI) and Ptychography (far field and near field) for two and three-dimensional imaging, also in the Bragg geometry to provide strain information in nano-crystals, and finally holo-tomography (currently in development).
References:
[1] J. Appl. Cryst. 53 (2020), 1404, [arXiv:2008.11511]
[2] main PyNX documentation: http://ftp.esrf.fr/pub/scisoft/PyNX/doc/
[3] git repository: https://gitlab.esrf.fr/favre/PyNX
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