University of Maryland, College Park（马里兰大学帕克分校）

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

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

机构 * 1 Centre for Artificial Intelligence Research , Department of Information ； Communication Technology, University of Agder, 4879 Grimstad, Norway 2 Department of Physics , University of Maryland , College Park , MD 20742 , USA ； 3 Department of Physics , Brown University, Providence , RI 02912 , USA ； 4 Department of Physics ； Astronomy , University of Rochester , Rochester , NY 14627 , USA ； 5 Department of Physics , Baylor University, Waco , TX 76706 , USA ； jay\ 6 Department of Physics \& Astronomy , University of California, Riverside , CA 92521 , USA ； 7 Institute of Particle Physics ； Accelerator Technologies , Riga Technical University, Rīga LV-1048 , Latvia ； 8 Department of Physics , Bari University , 70121 Bari , Italy ； 9 Department of Physics ； Astronomy, Ghent University, B-9000 Ghent , Belgium ； 10 Department of Physics ； Astronomy , University of Alabama, Tuscaloosa , AL 35487 , USA ； 11 Department of Physics ； Astronomy , Texas A\&M University, College Station , TX 77843 , USA ； 12 Instituto Universitario de Ciencias y Tecnologías Espaciales de Asturias , University of Oviedo , 33004 Oviedo , Spain ； 13 Fermi National Accelerator Laboratory, Batavia , IL 60510 , USA 纠错

Comments 23 pages, 17 figures, 3 tables, and published version

Journal ref Sensors 23 (2023) 24