Data Analysis

The Data Analysis group at the European XFEL is primarily responsible for providing the means to perform analysis and interpretation of experimental data. We develop solutions with our users, and we support and provide expertise for your experiment. You are most welcome to approach us at da@xfel.eu.

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[2025/6/6] Proceedings paper on the effect of instrumental imperfections on the temporal diagnostics of x-ray pulses

D.E. Ferreira de Lima et al. Instrumental effects on attosecond XFEL pulses temporal diagnostics

Journal publication

[2025/6/6] Proceedings paper on the surrogate modelling of European XFEL

F.A. Bishara et al. Towards data-driven surrogate models of the European XFEL

Journal publication

[2025/6/5] Proceedings paper on the application of machine learning at European XFEL

D.E. Ferreira de Lima et al. Core principles for machine learning at European XFEL

Journal publication

[2025/2/1] Paper on a new phase identification algorithm

R. Doostkam et al. Studying novel high-pressure phases in laser-shock-affected silicon using poly: an algorithm for spot-wise phase identification

Journal publication

[2025/4/15] Data science newsletter

...read the latest highlights.

Newsletter

[2025/3/24] EXtra-data 1.21 released

...provides a significant speedup for reading compressed data.

Changelog

[2024/1/20] European XFEL Users' Meeting 2025: material available

"European XFEL data workshop" satellite meeting

Go to material

[2024/12/18] Leveraging machine learning to enhance spectral diagnostics at European XFEL

D.E. Ferreira de Lima et al. Machine-learning-enhanced automatic spectral characterization of x-ray pulses from a free-electron laser

Journal publication