JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
TY - CONF AU - Schirmer, D. AU - Khan, S. AU - Radha Krishnan, A. ED - Schaa, Volker RW ED - Götz, Andy ED - Venter, Johan ED - White, Karen ED - Robichon, Marie ED - Rowland, Vivienne TI - Summary Report on Machine Learning-Based Applications at the Synchrotron Light Source Delta J2 - Proc. of ICALEPCS2023, Cape Town, South Africa, 09-13 October 2023 CY - Cape Town, South Africa T2 - International Conference on Accelerator and Large Experimental Physics Control Systems T3 - 19 LA - english AB - In recent years, several control system applications using machine learning (ML) techniques have been developed and tested to automate the control and optimization of the 1.5 GeV synchrotron radiation source DELTA. These applications cover a wide range of tasks, including electron beam position correction, working point control, chromaticity adjustment, injection process optimization, as well as CHG-spectra (coherent harmonic generation) analysis. Various machine learning techniques have been used to implement these projects. This report provides an overview of these projects, summarizes the current results, and indicates ideas for future improvements. PB - JACoW Publishing CP - Geneva, Switzerland SP - 537 EP - 541 KW - injection KW - laser KW - controls KW - synchrotron KW - storage-ring DA - 2024/02 PY - 2024 SN - 2226-0358 SN - 978-3-95450-238-7 DO - doi:10.18429/JACoW-ICALEPCS2023-TUPDP020 UR - https://jacow.org/icalepcs2023/papers/tupdp020.pdf ER -