Abstract
A search for neutrinoless double- decay () in is performed with the full EXO-200 dataset using a deep neural network to discriminate between and background events. Relative to previous analyses, the signal detection efficiency has been raised from 80.8% to , and the energy resolution of the detector at the value of has been improved from to with the upgraded detector. Accounting for the new data, the median 90% confidence level half-life sensitivity for this analysis is with a total exposure of 234.1 kg yr. No statistically significant evidence for is observed, leading to a lower limit on the half-life of at the 90% confidence level.
- Received 10 June 2019
- Revised 30 July 2019
DOI:https://doi.org/10.1103/PhysRevLett.123.161802
Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.
Published by the American Physical Society