AI4DQM workshop

Contribution List

2. Introduction/Welcome

Thomas Britton (JLab)

8/25/23, 9:30 AM

1. ATLAS status and future plans

Florian Haslbeck (University of Oxford / CERN)

8/25/23, 9:50 AM

4. Traditional DQM at JLAB

Torri Jeske (JLAB)

8/25/23, 10:15 AM

5. Siamese twin models

Kishansingh Rajput (Thomas Jefferson National Accelerator Facility)

8/25/23, 12:05 PM

9. Data-Driven Detection, Identification, and Prediction of Accelerator Cavity Faults

Christopher Tennant (Jefferson Lab)

8/25/23, 12:30 PM

6. Machine Learning based Anomaly Detection for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter

Kyungmin Park (Carnegie Mellon University / CERN)

8/25/23, 12:55 PM

Online Data Quality Monitoring (DQM) of the CMS electromagnetic calorimeter (ECAL) is a vital operational tool that allows ECAL experts to quickly identify, localize, and diagnose a broad range of detector issues that could affect the quality of physics data. Although the ECAL DQM system has been in operation since the start of the LHC and continuously updated to respond to new problems, it is...

7. Hydra: Computer Vision for Data Quality Monitoring

Thomas Britton (JLab), Torri Jeske (JLAB)

8/25/23, 1:20 PM