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DTSTAMP:20250822T115806Z
LOCATION:Room 5.2A17
DTSTART;TZID=Europe/Stockholm:20250617T120000
DTEND;TZID=Europe/Stockholm:20250617T123000
UID:submissions.pasc-conference.org_PASC25_sess111_msa227@linklings.com
SUMMARY:Coherent X-ray Imaging Data Analysis Using PyNX
DESCRIPTION:Vincent FAVRE-NICOLIN (ESRF, Univ. Grenoble Alpes)\n\n4th gene
 ration synchrotron sources provide two orders of magnitude more coherent p
 hotons, and thus the ability to collect coherent X-ray imaging datasets fa
 ster and/or with a higher resolution. Consequently, the increased volume o
 f data requires dedicated tools to fully take advantage of the improved co
 herent flux. PyNX [https://pynx.esrf.fr]  is developed at ESRF  - it has b
 een written from the ground up to provide state-of-the-art performance usi
 ng optimised GPU programming, both in terms of speed and memory requiremen
 ts (to handle larger datasets). It is used on multiple beamlines notably a
 t ESRF, Soleil, Petra-III, TPS, with scripts for data analysis easily expa
 ndable for new instruments (only the data input functions need to be updat
 ed). Input/output using the standard CXI format is also supported.\n\nDoma
 in: Chemistry and Materials, Engineering, Life Sciences, Physics, Computat
 ional Methods and Applied Mathematics\n\nSession Chair: Abraham Levitan (P
 aul Scherrer Institute)\n\n
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