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 - Fol, E. AU - Cardona, J.F. AU - Carlier, F.S. AU - Dilly, J. AU - Hofer, M. AU - Keintzel, J. AU - Le Garrec, M. AU - Maclean, E.H. AU - Persson, T.H.B. AU - Soubelet, F. AU - Tomás García, R. AU - Wegscheider, A. ED - Zimmermann, Frank ED - Tanaka, Hitoshi ED - Sudmuang, Porntip ED - Klysubun, Prapong ED - Sunwong, Prapaiwan ED - Chanwattana, Thakonwat ED - Petit-Jean-Genaz, Christine ED - Schaa, Volker R.W. TI - Experimental Demonstration of Machine Learning Application in LHC Optics Commissioning J2 - Proc. of IPAC2022, Bangkok, Thailand, 12-17 June 2022 CY - Bangkok, Thailand T2 - International Particle Accelerator Conference T3 - 13 LA - english AB - Recently, we conducted successful studies on the suitability of machine learning (ML) methods for optics measurements and corrections, incorporating novel ML-based methods for local optics corrections and reconstruction of optics functions. After performing extensive verifications on simulations and past measurement data, the newly developed techniques became operational in the LHC commissioning 2022. We present the experimental results obtained with the ML-based methods and discuss future improvements. Besides, we also report on improving the Beam Position Monitor (BPM) diagnostics with the help of the anomaly detection technique capable to identify malfunctioning BPMs along with their possible fault causes. PB - JACoW Publishing CP - Geneva, Switzerland SP - 359 EP - 362 KW - optics KW - quadrupole KW - MMI KW - simulation KW - diagnostics DA - 2022/07 PY - 2022 SN - 2673-5490 SN - 978-3-95450-227-1 DO - doi:10.18429/JACoW-IPAC2022-MOPOPT047 UR - https://jacow.org/ipac2022/papers/mopopt047.pdf ER -