Type: Article
Publication Date: 2023-08-10
Citations: 0
DOI: https://doi.org/10.1088/1674-1137/aceee3
Abstract A new search for two-neutrino double-beta (2 νββ ) decay of 136 Xe to the <?CDATA $0_1^ + $?> excited state of 136 Ba is performed with the full EXO-200 dataset. A deep learning-based convolutional neural network is used to discriminate signal from background events. Signal detection efficiency is increased relative to previous searches by EXO-200 by more than a factor of two. With the addition of the Phase II dataset taken with an upgraded detector, the median 90% confidence level half-life sensitivity of 2 νββ decay to the <?CDATA $0_1^ + $?> state of 136 Ba is <?CDATA $ 2.9 \times 10^{24} $?> yr using a total 136 Xe exposure of 234.1 kg yr. No statistically significant evidence for 2 νββ decay to the <?CDATA $0_1^ + $?> state is observed, leading to a lower limit of <?CDATA $ T^{2\nu}_{1/2}(0^+ \rightarrow 0^+_1) \gt 1.4\times10^{24} $?> yr at 90% confidence level, improved by 70% relative to the current world's best constraint.
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