Speaker
BARBARA YAEGGY
(University of Cincinnati)
Description
The NOvA experiment uses the ~1 MW NuMI beam from Fermilab to study neutrino oscillations: electron neutrino appearance and muon neutrino disappearance in a baseline of 810 km, with a 300-ton near detector and a 14-kiloton far detector. NOvA was the first experiment in high-energy physics to apply convolutional neural networks to classify neutrino interactions and composite particles in a physics measurement. Currently, NOvA is crafting new deep-learning techniques to improve interpretability, robustness, and performance for future physics analyses. This talk will cover the advancements in deep-learning-based reconstruction methods utilized in NOvA.
| Type of contribution | Talk: 15 minutes. |
|---|
Primary author
BARBARA YAEGGY
(University of Cincinnati)
