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Simulation of charge readout with segmented tiles in nEXO

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arxiv 1907.07512 v2 pith:OP4VTTR3 submitted 2019-07-17 physics.ins-det nucl-ex

Z. Li , W.R. Cen , A. Robinson , D.C. Moore , L.J. Wen , A. Odian , S. Al Kharusi , G. Anton
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I.J. Arnquist I. Badhrees P.S. Barbeau D. Beck V. Belov T. Bhatta J.P. Brodsky E. Brown T. Brunner E. Caden G.F. Cao L. Cao C. Chambers B. Chana S.A. Charlebois M. Chiu B. Cleveland M. Coon A. Craycraft J. Dalmasson T. Daniels L. Darroch S.J. Daugherty A. De St. Croix A. Der Mesrobian-Kabakian R. DeVoe M.L. Di Vacri J. Dilling Y.Y. Ding M.J. Dolinski A. Dragone J. Echevers M. Elbeltagi L. Fabris D. Fairbank W. Fairbank J. Farine S. Ferrara S. Feyzbakhsh R. Fontaine A. Fucarino G. Gallina P. Gautam G. Giacomini D. Goeldi R. Gornea G. Gratta E.V. Hansen M. Heffner E.W. Hoppe J. Hö{ss}l A. House M. Hughes A. Iverson A. Jamil M.J. Jewell X.S. Jiang A. Karelin L.J. Kaufman D. Kodroff T. Koffas R. Krücken A. Kuchenkov K.S. Kumar Y. Lan A. Larson K.G. Leach B.G. Lenardo D.S. Leonard G. Li S. Li C. Licciardi Y.H. Lin P. Lv R. MacLellan T. McElroy M. Medina-Peregrina T. Michel B. Mong K. Murray P. Nakarmi C.R. Natzke R.J. Newby Z. Ning O. Njoya F. Nolet O. Nusair K. Odgers M. Oriunno J.L. Orrell G.S. Ortega I. Ostrovskiy C.T. Overman S. Parent A. Piepke A. Pocar J.-F. Pratte V. Radeka E. Raguzin S. Rescia F. Retière M. Richman T. Rossignol P.C. Rowson N. Roy J. Runge R. Saldanha S. Sangiorgio K. Skarpaas VIII A.K. Soma G. St-Hilaire V. Stekhanov T. Stiegler X.L. Sun M. Tarka J. Todd T. Tolba T.I. Totev R. Tsang T. Tsang F. Vachon V. Veeraraghavan S. Viel G. Visser C. Vivo-Vilches J.-L. Vuilleumier M. Wagenpfeil M. Walent Q. Wang M. Ward J. Watkins M. Weber W. Wei U. Wichoski S.X. Wu W.H. Wu X. Wu Q. Xia H. Yang L. Yang Y.-R. Yen O. Zeldovich J. Zhao Y. Zhou T. Ziegler
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classification physics.ins-detnucl-ex
keywords betanexochargetilesanodebackgroundsdecaydeep
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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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  1. Sensitivity of nEXO to $^{136}$Xe Charged-Current Interactions: Background-free Searches for Solar Neutrinos and Fermionic Dark Matter

    nucl-ex 2025-06 conditional novelty 6.0 of 10

    A new delayed-coincidence tag from 136Cs isomers could let the nEXO detector reject backgrounds down to 10^-9 and measure CNO solar neutrinos, the 7Be neutrino energy, and sub-MeV fermionic dark matter.

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