An AutoEncoder-based Anomaly Detection tool with a per-LS granularity

An AutoEncoder-based Anomaly Detection Tool capable of detecting anomalies in DQM Monitor Elements with a per-Lumisection granularity is presented.

Detalles Bibliográficos
Autor principal: CMS Collaboration
Lenguaje:eng
Publicado: 2023
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/2854697
Descripción
Sumario:An AutoEncoder-based Anomaly Detection Tool capable of detecting anomalies in DQM Monitor Elements with a per-Lumisection granularity is presented.

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