Speaker
Callum Wilkinson
Description
Neutrino interactions are poorly understood and modeled, with some processes entirely missing from simulation. This sometimes leads to to surprising observations from rudimentary data analysis techniques such as hand-scanning. Here, the use of contrastive learning and unsupervised clustering is investigated as a more systematic way to explore event types in data. Although the aim is to investigate unmodeled neutrino interaction mechanisms, this describes a pilot study with cosmic muons as a proof of principle.
