Recently, a workshop on Artificial Intelligence for the Electron Ion Collider (AI4EIC) has been held at the College of William&Mary. The workshop covered all active and potential areas of applications of AI/ML for the EIC; it also had a strong outreach and educational component, with different tutorials given by experts in AI and machine learning from national labs, universities, and industry as well as a hackathon satellite event during the last day of the workshop. The format of the hackathon was hybrid and international
(both local and remote participation). For this hackathon, we proposed problems with increased level of difficulty and that are deemed to be solvable in a one-day event, starting from a problem that is accessible to everyone. We focused on the dual-radiator Ring Imaging Cherenkov (dRICH) detector under development as part of the particle-identification (PID) system at the future EPIC detector at EIC. Data have been produced using the EPIC software stack. Documentation and data sets have been made available on zenodo. This experience has been highly educational, particularly for students; interestingly, it also showed the potential advantages of modern AI/ML approaches to PID for imaging Cherenkov detectors compared to traditional approaches.
|Consider for long presentation||Yes|