About
Automating ATLAS control room anomaly detection with machine learning
Avery Hanna is a Bachelors student at Tufts University studying engineering physics. As a summer student at CERN she has been working on developing a machine learning tool to detect anomalies in detector operation for online use in the ATLAS control room. In this talk, she will review the model design and its performance which shows promise for the future possibility of online deployment..
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The talk
Credits and licence
- Institution
- CERN
- Department
- Summer Student Lecture Programme General
- Speaker
- Avery Bryn Hanna
- Year
- 2024
- Language
- English
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed