Speaker
Zihan Zhu
(Shanghai Institute of Applied Physics)
Description
For a free-electron laser facility, the longitudinal phase space of the beam is essential to the FEL lasing performance. However, the commonly-used diagnostics device such as the transverse deflecting cavity provides a destructive way to measure the beam longitudinal properties, which is not available during beam delivery. Thus, the convolutional neural network is introduced to construct a virtual diagnostic tool that facilitates bunch-to-bunch nondestructive measurement of the longitudinal phase space distribution.
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Primary authors
Zihan Zhu
(Shanghai Institute of Applied Physics)
Dr
Sergey Tomin
(Deutsches Elektronen-Synchrotron DESY)
Mr
Jan Kaiser
(Deutsches Elektronen-Synchrotron DESY)
