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Search for Neutrinoless Double-β Decay with the Complete EXO-200 Dataset

Anton, G. and Vogel, P. (2019) Search for Neutrinoless Double-β Decay with the Complete EXO-200 Dataset. Physical Review Letters, 123 (16). Art. No. 161802. ISSN 0031-9007.

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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.

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Vogel, P.0000-0003-0587-5466
Alternate Title:Search for Neutrinoless Double-Beta Decay with the Complete EXO-200 Dataset
Additional Information:© 2019 Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3. Received 10 June 2019; revised manuscript received 30 July 2019; published 18 October 2019. 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.
Funding AgencyGrant Number
Department of Energy (DOE)UNSPECIFIED
Natural Sciences and Engineering Research Council of Canada (NSERC)UNSPECIFIED
Swiss National Science Foundation (SNSF)UNSPECIFIED
Institute for Basic Science (Korea)UNSPECIFIED
Russian Foundation for Basic Research18-02-00550
Deutsche Forschungsgemeinschaft (DFG)UNSPECIFIED
Chinese Academy of SciencesUNSPECIFIED
Issue or Number:16
Record Number:CaltechAUTHORS:20191023-105746914
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99407
Deposited By: Tony Diaz
Deposited On:23 Oct 2019 19:49
Last Modified:03 Mar 2020 13:01

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