Speaker
Georgia Karagiorgi
(Columbia University)
Description
Future, large-scale liquid argon time projection chamber (LArTPC) detectors provide a unique opportunity to search for neutron-antineutron oscillation. This is a rare, baryon-number-violating signature predicted only by theories beyond the Standard Model. This talk will present a convolutional neural network approach that can be used to search for neutron-antineutron oscillation events in the future Deep Underground Neutrino Experiment (DUNE). The network performance will be presented, along with preliminary sensitivity results.
Primary authors
Georgia Karagiorgi
(Columbia University)
Mr
Jeremy Hewes
(The University of Manchester)
Dr
Kazuhiro Terao
(Nevis Laboratories, Columbia University)