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Title: Anomaly detection for beam loss maps in the Large Hadron Collider
Authors: Valentino, Gianluca
Bruce, Roderik
Redaelli, Stefano
Rossi, Roberto
Theodoropoulos, Panagiotis
Jaster-Merz, Sonja
Keywords: Large Hadron Collider (France and Switzerland)
Colliders (Nuclear physics)
Particle accelerators
Principal components analysis
Issue Date: 2011
Publisher: IOP Publishing Ltd.
Citation: Valentino, G., Bruce, R., Redaelli, S., Rossi, R., Theodoropoulos, P., & Jaster-Merz, S. (2017). Anomaly detection for beam loss maps in the large hadron collider. Journal of Physics: Conference Series, 874(1), 012002.
Abstract: In the LHC, beam loss maps are used to validate collimator settings for cleaning and machine protection. This is done by monitoring the loss distribution in the ring during infrequent controlled loss map campaigns, as well as in standard operation. Due to the complexity of the system, consisting of more than 50 collimators per beam, it is difficult to identify small changes in the collimation hierarchy, which may be due to setting errors or beam orbit drifts with such methods. A technique based on Principal Component Analysis and Local Outlier Factor is presented to detect anomalies in the loss maps and therefore provide an automatic check of the collimation hierarchy.
Appears in Collections:Scholarly Works - FacICTCCE

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