Simulation of charge readout with segmented tiles in nEXO

Abstract

nEXO is a proposed experiment to search for the neutrino-less double beta decay ($0\nu \beta \beta$) of ${}^{136}$Xe in a tonne-scale liquid xenon time projection chamber (TPC). The nEXO TPC will be equipped with charge collection tiles to form the anode. In this work, the charge reconstruction performance of this anode design is studied with a dedicated simulation package. A multi-variate method and a deep neural network are developed to distinguish simulated $0\nu \beta \beta$ signals from backgrounds arising from trace levels of natural radioactivity in the detector materials. These simulations indicate that the nEXO TPC with charge-collection tiles shows promising capability to discriminate the $0\nu \beta \beta$ signal from backgrounds. The estimated half-life sensitivity for $0\nu \beta \beta$ decay is improved by $\sim$20$(32)\%$ with the multi-variate~(deep neural network) methods considered here, relative to the sensitivity estimated in the nEXO pre-conceptual design report.

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Cited by in corpus (9)

• NEXO: Neutrinoless double beta decay search beyond $10^{28}$ year half-life sensitivity
• Graph neural network for 3D classification of ambiguities and optical crosstalk in scintillator-based neutrino detectors
• Event Reconstruction in a Liquid Xenon Time Projection Chamber with an Optically-Open Field Cage
• Development of a ${}^{127}$Xe calibration source for nEXO
• Supernova electron-neutrino interactions with xenon in the nEXO detector
• Status and Perspectives of Neutrino Physics
• Canadian Contributions to the Search for Neutrinoless Double Beta Decay
• A flexible test facility for liquid xenon detector development
• Xenon Signal Denoising via Supervised, Semi-Supervised, and Unsupervised Models