Resumen
A search for neutrinoless double-β decay (0νββ) in Xe136 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 Xe136 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 Xe136 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.
| Idioma original | English |
|---|---|
| Número de artículo | 161802 |
| Publicación | Physical Review Letters |
| Volumen | 123 |
| N.º | 16 |
| DOI | |
| Estado | Published - oct 18 2019 |
Nota bibliográfica
Publisher Copyright:© 2019 authors.
Financiación
EXO-200 is supported by the DOE and NSF in the U.S., the NSERC in Canada, the SNF in Switzerland, the IBS in Korea, the RFBR (18-02-00550) in Russia, the DFG in Germany, and CAS and ISTCP in China. The EXO-200 data analysis and simulation use resources of the National Energy Research Scientific Computing Center (NERSC). We gratefully acknowledge the KARMEN collaboration for supplying the cosmic-ray veto detectors, as well as the WIPP for their hospitality.
| Financiadores | Número del financiador |
|---|---|
| WIPP | |
| U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China | 1812245, 1654495, 1812340 |
| U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China | |
| U.S. Department of Energy Oak Ridge National Laboratory U.S. Department of Energy National Science Foundation National Energy Research Scientific Computing Center | |
| Natural Sciences and Engineering Research Council of Canada | |
| Deutsche Forschungsgemeinschaft | |
| Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung | |
| Russian Foundation for Basic Research | 18-02-00550 |
| Russian Foundation for Basic Research | |
| Chinese Academy of Sciences | |
| Institute for Basic Science (IBS) | |
| International Science and Technology Cooperation Programme |
ASJC Scopus subject areas
- General Physics and Astronomy