Autoencoder-based Anomaly Detection System for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter

arXiv:2309.10157v2 Announce Type: replace-cross
Abstract: The CMS detector is a general-purpose apparatus that detects high-energy collisions produced at the LHC. Online Data Quality Monitoring of the CMS electromagnetic calorimeter is a vital operational tool that allows detector experts to quickly identify, localize, and diagnose a broad range of detector issues that could affect the quality of physics data. A real-time autoencoder-based anomaly detection system using semi-supervised machine learning is presented enabling the detection of anomalies in the CMS electromagnetic calorimeter …

abstract anomaly anomaly detection arxiv autoencoder cms cs.lg data data quality data quality monitoring detection energy experts general hep-ex identify monitoring physics.data-an physics.ins-det quality replace tool type vital