Search for Neutrinoless Double-β Decay with the Complete EXO-200 Dataset
Abstract
A search for neutrinoless double-β decay (0νββ) in ¹³⁶Xe is performed with the full EXO-200 dataset using a deep neural network to discriminate between 0νββ and background events. Relative to previous analyses, the signal detection efficiency has been raised from 80.8% to 96.4±3.0%, and the energy resolution of the detector at the Q value of ¹³⁶Xe 0νββ has been improved from σ/E=1.23% to 1.15±0.02% with the upgraded detector. Accounting for the new data, the median 90% confidence level 0νββ half-life sensitivity for this analysis is 5.0×10²⁵ yr with a total ¹³⁶Xe exposure of 234.1 kg yr. No statistically significant evidence for 0νββ is observed, leading to a lower limit on the 0νββ half-life of 3.5×10²⁵ yr at the 90% confidence level.
Type
Publication
Physical Review Letters, 123, 161802 (2019)