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30 May 2022 to 4 June 2022
Virtual Seoul
Asia/Seoul timezone

A search for argon-bound neutron-antineutron oscillation with the MicroBooNE LArTPC

Not scheduled
20m
Virtual Seoul

Virtual Seoul

Poster BSM searches in neutrinos Poster

Speaker

Yeon-jae Jwa (Columbia University)

Description

Massive and deep underground detectors such as the future Deep Underground Neutrino Experiment (DUNE) will offer a unique opportunity to search for rare, beyond-Standard Model (BSM) physics signals. One such BSM process is nucleus-bound neutron-antineutron oscillation—a baryon number violating process that produces a unique, star-like topological signature that should be easily recognizable within a fully active liquid argon time projection chamber (LArTPC) detector. While the future DUNE LArTPC can search for this signature with high sensitivity, existing MicroBooNE data can be used to demonstrate and validate the methodologies that are used as part of the DUNE search. This poster presents a machine learning (ML)-based analysis of MicroBooNE data, making use of a sparse convolutional neural network (CNN) to search for neutron-antineutron oscillation-like signals in MicroBooNE. This search represents the first-ever search for neutron-antineutron oscillation in a LArTPC.

Collaboration MicroBooNE

Primary authors

Yeon-jae Jwa (Columbia University) Dr Daisy Kalra (Columbia University) Dr Georgia Karagiorgi (Columbia University)

Presentation Materials