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This project is the source code to our paper.

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.

TomoAL: An Active Learning Framework in PyTorch for Segmentation of Tomography Data

Configurations for Klystron Lifetime Management Server.

Server configuration for the frequency synthesizers of the master oscillator. This config is using ChimeraTK's GenericDeviceServer and does not have a dedicated server source code package.

Generate VHDL and .map files from SystemRDL input

Data processing for serial crystallography