10–24 Jul 2020
America/Chicago timezone

Summary of Machine Learning Applications for the COHERENT Collaboration

14 Jul 2020, 13:00
40m
A collaboration/project summary talk Day 2 Afternoon

Speaker

Jacob Daughhetee (University of Tennessee)

Description

The COHERENT collaboration utilizes a suite of detectors to search for coherent elastic neutrino-nucleus scattering (CEvNS) and associated backgrounds at the Spallation Neutron Source (SNS) at Oak Ridge National Laboratory. Measurement of the low-energy nuclear recoil signature of CEvNS events necessitates the identification and rejection of environmental and detector-intrinsic backgrounds. Machine learning for purpose of event identification is being investigated in several COHERENT detectors. An overview of the techniques being used and the results of their application to experimental data will be presented.

Primary author

Jacob Daughhetee (University of Tennessee)

Presentation materials