Simulation of charge readout with segmented tiles in nEXO
Simulation of charge readout with segmented tiles in nEXO
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DOI：
10.1088/1748-0221/14/09/p09020
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发表时间：
2019-07
影响因子：
1.3
通讯作者：
Z. Li;W. Cen;A. Robinson;D. Moore;L. Wen;A. Odian;S. A. Kharusi;G. Anton;I. Arnquist;I. Badhrees;P. Barbeau;D. Beck;V. Belov;T. Bhatta;J. Brodsky;E. Brown;T. Brunner;E. Caden;G. Cao;L. Cao;C. Chambers;B. Chana;S. Charlebois;M. Chiu;B. Cleveland;M. Coon;A. Craycraft;J. Dalmasson;T. Daniels;L. Darroch;S. Daugherty;A. D. S. Croix;A. D. Mesrobian-Kabakian;R. DeVoe;M. Vacri;J. Dilling;Y. Ding;M. 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. Hansen;M. Heffner;E. Hoppe;J. Hössl;A. House;M. Hughes;A. Iverson;A. Jamil;M. Jewell;X. Jiang;A. Karelin;L. Kaufman;D. Kodroff;T. Koffas;R. Krücken;A. Kuchenkov;K. S. Kumar;Y. Lan;A. Larson;K. Leach;B. Lenardo;D. Leonard;G. Li;S. Li;C. Licciardi;Yuehe Lin;P. Lv;R. Maclellan;T. McElroy;M. Medina-Peregrina;T. Michel;B. Mong;K. Murray;P. Nakarmi;C. Natzke;R. J. Newby;Z. Ning;O. Njoya;F. Nolet;O. Nusair;K. Odgers;M. Oriunno;J. Orrell;G. S. Ortega;I. Ostrovskiy;C. Overman;S. Parent;A. Piepke;A. Pocar;J. Pratte;V. Radeka;E. Raguzin;S. Rescia;F. Retière;M. Richman;T. Rossignol;P. Rowson;N. Roy;J. Runge;R. Saldanha;S. Sangiorgio;K. S. Viii;A. Soma;G. St-Hilaire;V. Stekhanov;T. Stiegler;X. Sun;M. Tarka;J. Todd;T. Tolba;T. Totev;R. Tsang;T. Tsang;F. Vachon;V. Veeraraghavan;S. Viel;G. Visser;C. Vivo-Vilches;J. Vuilleumier;M. Wagenpfeil;M. Walent;Q. Wang;Martin Ward;J. Watkins;M. Weber;W. Wei;U. Wichoski;S. Wu;W. Wu;Xiongwei Wu;Q. Xia;H. Yang;Liang Yang;Y. Yen;O. Zeldovich;J. Zhao;Y. Zhou;T. Ziegler
中科院分区：
文献类型：
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作者：
Z. Li;W. Cen;A. Robinson;D. Moore;L. Wen;A. Odian;S. A. Kharusi;G. Anton;I. Arnquist;I. Badhrees;P. Barbeau;D. Beck;V. Belov;T. Bhatta;J. Brodsky;E. Brown;T. Brunner;E. Caden;G. Cao;L. Cao;C. Chambers;B. Chana;S. Charlebois;M. Chiu;B. Cleveland;M. Coon;A. Craycraft;J. Dalmasson;T. Daniels;L. Darroch;S. Daugherty;A. D. S. Croix;A. D. Mesrobian-Kabakian;R. DeVoe;M. Vacri;J. Dilling;Y. Ding;M. 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. Hansen;M. Heffner;E. Hoppe;J. Hössl;A. House;M. Hughes;A. Iverson;A. Jamil;M. Jewell;X. Jiang;A. Karelin;L. Kaufman;D. Kodroff;T. Koffas;R. Krücken;A. Kuchenkov;K. S. Kumar;Y. Lan;A. Larson;K. Leach;B. Lenardo;D. Leonard;G. Li;S. Li;C. Licciardi;Yuehe Lin;P. Lv;R. Maclellan;T. McElroy;M. Medina-Peregrina;T. Michel;B. Mong;K. Murray;P. Nakarmi;C. Natzke;R. J. Newby;Z. Ning;O. Njoya;F. Nolet;O. Nusair;K. Odgers;M. Oriunno;J. Orrell;G. S. Ortega;I. Ostrovskiy;C. Overman;S. Parent;A. Piepke;A. Pocar;J. Pratte;V. Radeka;E. Raguzin;S. Rescia;F. Retière;M. Richman;T. Rossignol;P. Rowson;N. Roy;J. Runge;R. Saldanha;S. Sangiorgio;K. S. Viii;A. Soma;G. St-Hilaire;V. Stekhanov;T. Stiegler;X. Sun;M. Tarka;J. Todd;T. Tolba;T. Totev;R. Tsang;T. Tsang;F. Vachon;V. Veeraraghavan;S. Viel;G. Visser;C. Vivo-Vilches;J. Vuilleumier;M. Wagenpfeil;M. Walent;Q. Wang;Martin Ward;J. Watkins;M. Weber;W. Wei;U. Wichoski;S. Wu;W. Wu;Xiongwei Wu;Q. Xia;H. Yang;Liang Yang;Y. Yen;O. Zeldovich;J. Zhao;Y. Zhou;T. Ziegler
nEXO 是一项拟议的实验，旨在在吨级液氙时间投影室 (TPC) 中寻找 136Xe 的无中微子双 β 衰变 (0νββ)。 nEXO TPC 将配备电荷收集瓦片以形成阳极。在这项工作中，使用专用仿真包研究了该阳极设计的电荷重建性能。开发了一种多变量方法和深度神经网络来区分模拟的 0νββ 信号与探测器材料中痕量天然放射性水平产生的背景。这些模拟表明，带有电荷收集块的 nEXO TPC 显示出区分 0νββ 信号与背景的良好能力。相对于 nEXO 概念前设计报告中估计的灵敏度，使用此处考虑的多变量（深度神经网络）方法，0νββ 衰变的估计半衰期灵敏度提高了 ∼20 (32)%。
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.