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RIS citation export for WEPSC40: Detection of Anomalies in BPM Signals at the VEPP-4M

TY  - CONF
AU  - Morozov, I.A.
AU  - Piminov, P.A.
ED  - Kuzin, Maksim V.
ED  - Schaa, Volker RW
TI  - Detection of Anomalies in BPM Signals at the VEPP-4M
J2  - Proc. of RuPAC2021, Alushta, Crimea, 27 September-01 October 2021
CY  - Alushta, Crimea
T2  - Russian Particle Accelerator Conference
T3  - 27
LA  - english
AB  - Beam position monitors (BPMs) are widely used for beam diagnostics in particle accelerators. Turn-by-turn (TbT) beam centroid data provide a means to estimate performance-critical accelerator parameters, like betatron frequency and optical functions. Parameter estimation accuracy is heavily related to TbT data quality. BPM faults might lead to erroneous estimation of accelerator parameters and should be accounted for achieving accurate and reliable results. Several anomaly detection methods for TbT data cleaning are considered. Derived features of BPM signals along with their robust dispersion estimation are used to flag faulty BPM signals. Estimated contamination factor is used with unsupervised learning methods (Local Outlier Factor and Isolation Forest). Application of anomaly detection methods for the VEPP-4M experimental TbT data is reported.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 420
EP  - 422
KW  - ISOL
KW  - detector
KW  - experiment
KW  - optics
KW  - simulation
DA  - 2021/10
PY  - 2021
SN  - 2673-5539
SN  - 978-3-95450-240-0
DO  - doi:10.18429/JACoW-RuPAC2021-WEPSC40
UR  - https://jacow.org/rupac2021/papers/wepsc40.pdf
ER  -