Application of sequence learning for predicting radiation damage of the CMS electromagnetic calorimeter
physics.ins-det, cs.LG, hep-ex
Submitted: 2026-10-02
Updated: 2026-10-02
Code: https://github.com/FAIR-UMN/fair_ecal_
Sources
- Machine Learning in High Energy Physics Community White Paper
- Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC
- Sequence to Sequence Learning with Neural Networks