Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter

The Compact Muon Solenoid (CMS) experiment is a general-purpose detector for high-energy collision at the Large Hadron Collider (LHC) at CERN. It employs an online data quality monitoring (DQM) system to promptly spot and diagnose particle data acquisition problems to avoid data quality loss. In thi...

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Autors principals:	Mulugeta Weldezgina Asres, Christian Walter Omlin, Long Wang, David Yu, Pavel Parygin, Jay Dittmann, Georgia Karapostoli, Markus Seidel, Rosamaria Venditti, Luka Lambrecht, Emanuele Usai, Muhammad Ahmad, Javier Fernandez Menendez, Kaori Maeshima, the CMS-HCAL Collaboration
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-12-01
Col·lecció:	Sensors
Matèries:	anomaly detection monitoring spatio-temporal deep learning graph networks particle sensors
Accés en línia:	https://www.mdpi.com/1424-8220/23/24/9679
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