A neural network model of a quasiperiodic elliptically polarizing undulator in universal mode

Machine learning has recently been applied and deployed at several light source facilities in the domain of accelerator physics. Here, an approach based on machine learning to produce a fast-executing model is introduced that predicts the polarization and energy of the radiated light produced at an...

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Bibliographic Details
Main Authors: Ryan Sheppard, Cameron Baribeau, Tor Pedersen, Mark Boland, Drew Bertwistle
Format: Article
Language:English
Published: International Union of Crystallography 2022-11-01
Series:Journal of Synchrotron Radiation
Subjects:
Online Access:http://scripts.iucr.org/cgi-bin/paper?S1600577522008554