Simulation of charge readout with segmented tiles in nEXO

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Simulation of charge readout with segmented tiles in nEXO
Li Z.; Cen W.R.; Robinson A.; Moore D.C.; Wen L.J.; Odian A.; Kharusi S.A.; Anton G.; Arnquist I.J.; Badhrees I.; Barbeau P.S.; Beck D.; Belov V.; Bhatta T.; Brodsky J.P.; Brown E.; Brunner T.; Caden E.; Cao G.F.; Cao L.; Chambers C.; Chana B.; Charlebois S.A.; Chiu M.; Cleveland B.; Coon M.; Craycraft A.; Dalmasson J.; Daniels T.; Darroch L.; Daugherty S.J.; Croix A.D.S.; Mesrobian-Kabakian A.D.; Devoe R.; Vacri M.L.D.; Dilling J.; Ding Y.Y.; Dolinski M.J.; Dragone A.; Echevers J.; Elbeltagi M.; Fabris L.; Fairbank D.; Fairbank W.; Farine J.; Ferrara S.; Feyzbakhsh S.; Fontaine R.; Fucarino A.; Gallina G.; Gautam P.; Giacomini G.; Goeldi D.; Gornea R.; Gratta G.; Hansen E.V.; Heffner M.; Hoppe E.W.; Hossl J.; House A.; Hughes M.; Iverson A.; Jamil A.; Jewell M.J.; Jiang X.S.; Karelin A.; Kaufman L.J.; Kodroff D.; Koffas T.; Krucken R.; Kuchenkov A.; Kumar K.S.; Lan Y.; Larson A.; Leach K.G.; Lenardo B.G.; Douglas, Leonard; Li G.; Li S.; Licciardi C.; Lin Y.H.; Lv P.; Maclellan R.; McElroy T.; Medina-Peregrina M.; Michel T.; Mong B.; Murray K.; Nakarmi P.; Natzke C.R.; Newby R.J.; Ning Z.; Njoya O.; Nolet F.; Nusair O.; Odgers K.; Oriunno M.; Orrell J.L.; Ortega G.S.; Ostrovskiy I.; Overman C.T.; Parent S.; Piepke A.; Pocar A.; Pratte J.-F.; Radeka V.; Raguzin E.; Rescia S.; Retiere F.; Richman M.; Rossignol T.; Rowson P.C.; Roy N.; Runge J.; Saldanha R.; Sangiorgio S.; Viii K.S.; Soma A.K.; St-Hilaire G.; Stekhanov V.; Stiegler T.; Sun X.L.; Tarka M.; Todd J.; Tolba T.; Totev T.I.; Tsang R.; Tsang T.; Vachon F.; Veeraraghavan V.; Viel S.; Visser G.; Vivo-Vilches C.; Vuilleumier J.-L.; Wagenpfeil M.; Walent M.; Wang Q.; Ward M.; Watkins J.; Weber M.; Wei W.; Wichoski U.; Wu S.X.; Wu W.H.; Wu X.; Xia Q.; Yang H.; Yang L.; Yen Y.-R.; Zeldovich O.; Zhao J.; Zhou Y.; Ziegler T.
Publication Date
JOURNAL OF INSTRUMENTATION, v.14, no.9, pp.09020 -
© 2019 IOP Publishing Ltd and Sissa Medialab.nEXO is a proposed experiment to search for the neutrino-less double beta decay (0νββ) of 136Xe 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 0νββ 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 0νββ signal from backgrounds. The estimated half-life sensitivity for 0νββ decay is improved by ∼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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Center for Underground Physics(지하실험 연구단) > Journal Papers (저널논문)
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