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nEXO is a proposed experiment to search for the neutrino-less double betadecay ($0\nu\beta\beta$) of $^{136}$Xe in a tonne-scale liquid xenon timeprojection chamber (TPC). The nEXO TPC will be equipped with charge collectiontiles to form the anode. In this work, the charge reconstruction performance ofthis anode design is studied with a dedicated simulation package. Amulti-variate method and a deep neural network are developed to distinguishsimulated $0\nu\beta\beta$ signals from backgrounds arising from trace levelsof natural radioactivity in the detector materials. These simulations indicatethat the nEXO TPC with charge-collection tiles shows promising capability todiscriminate the $0\nu\beta\beta$ signal from backgrounds. The estimatedhalf-life sensitivity for $0\nu\beta\beta$ decay is improved by$\sim$20$~(32)\%$ with the multi-variate~(deep neural network) methodsconsidered here, relative to the sensitivity estimated in the nEXOpre-conceptual design report.

Simulation of charge readout with segmented tiles in nEXO