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

Anton, G; Badhrees, I; S Barbeau, P; Beck, D; Belov, V; Bhatta, T; Breidenbach, M; Brunner, T; F Cao, G; R Cen, W; Chambers, C; Cleveland, B; Coon, M; Craycraft, A; Daniels, T; Danilov, M; Darroch, L; J Daugherty, S; Davis, J; Delaquis, S; Der Mesrobian-Kabakian, A; DeVoe, R; Dilling, J; Dolgolenko, A; J Dolinski, M; Echevers, J; Fairbank, W; Fairbank, D; Farine, J; Feyzbakhsh, S; Fierlinger, P; Fudenberg, D; Gautam, P; Gornea, R; Gratta, G; Hall, C; V Hansen, E; Hoessl, J; Hufschmidt, P; Hughes, M; Iverson, A; Jamil, A; Jessiman, C; J Jewell, M; Johnson, A; Karelin, A; J Kaufman, L; Koffas, T; Krücken, R; Kuchenkov, A

doi:10.1103/physrevlett.123.161802

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

Published in Physical review letters • Oct 18, 2019

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Authors:

G Anton

,

I Badhrees

,

P S Barbeau

Abstract

A search for neutrinoless double-β decay (0νββ) in ^{136}Xe 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 energ...

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