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Minisymposium Presentation

Coherent X-ray Imaging Data Analysis Using PyNX

Tuesday, June 17, 2025
12:00
-
12:30
CEST
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Chemistry and Materials
Chemistry and Materials
Chemistry and Materials
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Humanities and Social Sciences
Humanities and Social Sciences
Humanities and Social Sciences
Engineering
Engineering
Engineering
Life Sciences
Life Sciences
Life Sciences
Physics
Physics
Physics

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 [https://pynx.esrf.fr] 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, TPS, with scripts for data analysis easily expandable for new instruments (only the data input functions need to be updated). Input/output using the standard CXI format is also supported.

Authors