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python code for DAQ of the lgad setup(s) - use pyvisa to control keithley, scope, stage, etc

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.