XFEL-Beam-Pointing-Predictions

Project information

This proposed work explores the use of machine learning to provide operators with estimates of key photon pulse characteristics related to beam pointing. A data pipeline is set up and the method is applied to the SASE1 undulator line at the European XFEL.

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Created on

September 07, 2023

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