Paper

Search for two-neutrino double-beta decay of 136Xe to the ${\bf 0^+_1} $ excited state of 136Ba with the complete EXO-200 dataset*

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© 2023 Chinese Physical Society and the Institute of High Energy Physics of the Chinese Academy of Sciences and the Institute of Modern Physics of the Chinese Academy of Sciences and IOP Publishing Ltd
, , Citation S. Al Kharusi et al 2023 Chinese Phys. C 47 103001 DOI 10.1088/1674-1137/aceee3

1674-1137/47/10/103001

Abstract

A new search for two-neutrino double-beta (2νββ) decay of 136Xe to the $0_1^ + $ excited state of 136Ba 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 2νββ decay to the $0_1^ + $ state of 136Ba is $ 2.9 \times 10^{24} $ yr using a total 136Xe exposure of 234.1 kg yr. No statistically significant evidence for 2νββ decay to the $0_1^ + $ state is observed, leading to a lower limit of $ 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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Footnotes

  • EXO-200 is supported by DOE and NSF in the United States, NSERC in Canada, SNF in Switzerland, IBS in Korea, DFG in Germany, and CAS in China. EXO-200 data analysis and simulation uses resources of the National Energy Research Scientific Computing Center (NERSC)