JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
@inproceedings{schirmer:ipac2022-tupopt059,
author = {D. Schirmer and A. Althaus and T. Schüngel},
title = {{Machine Learning Methods for Chromaticity Control at the 1.5 GeV Synchrotron Light Source DELTA}},
booktitle = {Proc. IPAC'22},
% booktitle = {Proc. 13th International Particle Accelerator Conference (IPAC'22)},
pages = {1141--1144},
eid = {TUPOPT059},
language = {english},
keywords = {sextupole, storage-ring, synchrotron, controls, experiment},
venue = {Bangkok, Thailand},
series = {International Particle Accelerator Conference},
number = {13},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {07},
year = {2022},
issn = {2673-5490},
isbn = {978-3-95450-227-1},
doi = {10.18429/JACoW-IPAC2022-TUPOPT059},
url = {https://jacow.org/ipac2022/papers/tupopt059.pdf},
abstract = {{In the past, the chromaticity values at the DELTA electron storage ring were manually adjusted using 15 individual sextupole power supply circuits, which are combined into 7 magnet families. To automate and optimize the time-consuming setting process, various machine learning (ML) approaches were investigated. For this purpose, simulations were first performed using a storage ring model and the performance of different neural network (NN) based models was compared. Subsequently, the neural networks were trained with experimental data and successfully implemented for chromaticity correction in real accelerator operation.}},
}