July 31, 2017 to August 4, 2017
Fermi National Accelerator Laboratory
US/Central timezone

Prospects for Neutron-Antineutron Oscillation Searches with Convolutional Neural Networks in Liquid Argon Time Projection Chambers

Jul 31, 2017, 6:29 PM
Reception Area (Fermi National Accelerator Laboratory)

Reception Area

Fermi National Accelerator Laboratory

Poster Computing, Analysis Tools and Data Handling Poster Session and Reception


Georgia Karagiorgi (Columbia University)


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)

Presentation materials