Emma, C.; Edelen, A.; Hanuka, A.; O’Shea, B.; Scheinker, A. Virtual Diagnostic Suite for Electron Beam Prediction and Control at FACET-II. Information2021, 12, 61.
Emma, C.; Edelen, A.; Hanuka, A.; O’Shea, B.; Scheinker, A. Virtual Diagnostic Suite for Electron Beam Prediction and Control at FACET-II. Information 2021, 12, 61.
Emma, C.; Edelen, A.; Hanuka, A.; O’Shea, B.; Scheinker, A. Virtual Diagnostic Suite for Electron Beam Prediction and Control at FACET-II. Information2021, 12, 61.
Emma, C.; Edelen, A.; Hanuka, A.; O’Shea, B.; Scheinker, A. Virtual Diagnostic Suite for Electron Beam Prediction and Control at FACET-II. Information 2021, 12, 61.
Abstract
We discuss the implementation of a suite of virtual diagnostics at the FACET-II facility currently under commissioning at SLAC National Accelerator Laboratory. The diagnostics will be used for prediction of the longitudinal phase space along the linac, spectral reconstruction of the bunch profile and non-destructive inference of transverse beam quality (emittance) using edge radiation at the injector dogleg and bunch compressor locations. These measurements will be folded in to adaptive feedbacks and ML-based reinforcement learning controls to improve the stability and optimize the performance of the machine for different experimental configurations. In this paper we describe each of these diagnostics with expected measurement results based on simulation data and discuss progress towards implementation in regular operations.
Keywords
machine learning; virtual diagnostics; reinforcement learning control
Subject
Physical Sciences, Acoustics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
