Published October 2023 | Version Published
Journal Article

Search for two-neutrino double-beta decay of ¹³⁶Xe to the 0⁺₁ excited state of ¹³⁶Ba with the complete EXO-200 dataset

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 x 10²yr 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 T2ν_(1/2) (0+ → 0⁺₁) > 1.4 x 10²yr at 90% confidence level, improved by 70% relative to the current world's best constraint.

Copyright and License

© 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.

Acknowledgement

We gratefully acknowledge the KARMEN collaboration for supplying the cosmic-ray veto detectors, and the WIPP for their hospitality.

Funding

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).

Additional details

Related works

Is new version of
Discussion Paper: arXiv:2303.01103 (arXiv)

Funding

United States Department of Energy
National Science Foundation
Natural Sciences and Engineering Research Council
Swiss National Science Foundation
Institute for Basic Science
Deutsche Forschungsgemeinschaft
Chinese Academy of Sciences

Dates

Submitted
2023-03-03