Simulation of charge readout with segmented tiles in nEXO

Z. Li; W. R. Cen; A. Robinson; D. C. Moore; L. J. Wen; A. Odian; S. Al Kharusi; G. Anton; 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. Hößl; 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

doi:10.1088/1748-0221/14/09/P09020

Simulation of charge readout with segmented tiles in nEXO

Z. Li
, W. R. Cen
, A. Robinson
, D. C. Moore
, L. J. Wen
, A. Odian
, S. Al Kharusi
, G. Anton
, 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. Hößl, 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

Producción científica: Article › revisión exhaustiva

14 Citas (Scopus)

Resumen

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.

Idioma original	English
Número de artículo	P09020
Publicación	Journal of Instrumentation
Volumen	14
N.º	9
DOI	https://doi.org/10.1088/1748-0221/14/09/P09020
Estado	Published - sept 24 2019

Nota bibliográfica

Publisher Copyright:
© 2019 IOP Publishing Ltd and Sissa Medialab.

Financiación

This work has been supported by the Offices of Nuclear and High Energy Physics within DOE's Office of Science, and NSF in the United States, by NERSC, CFI, FRQNT, NRC, and the McDonald Institute (CFREF) in Canada, by IBS in Korea, by RFBR (18-02-00550) in Russia, and by CAS and NSFC in China. This work was supported in part by Laboratory Directed Research and Development (LDRD) programs at Brookhaven National Laboratory (BNL), Lawrence Livermore National Laboratory (LLNL), Oak Ridge National Laboratory (ORNL) and Pacific Northwest National Laboratory (PNNL). This work has been supported by the Offices of Nuclear and High Energy Physics within DOE’s Office of Science, and NSF in the United States, by NERSC, CFI, FRQNT, NRC, and the McDonald Institute (CFREF) in Canada, by IBS in Korea, by RFBR (18-02-00550) in Russia, and by CAS and NSFC in China. This work was supported in part by Laboratory Directed Research and Development (LDRD) programs at Brookhaven National Laboratory (BNL), Lawrence Livermore National Laboratory (LLNL), Oak Ridge National Laboratory (ORNL) and Pacific Northwest National Laboratory (PNNL).

Financiadores	Número del financiador
Center for African Studies
International Biometric Society
Department of Energy offices of High Energy Physics and Nuclear Physics
Cummings Foundation
National Energy Research Scientific Computing Center
Canada Foundation for Innovation
McDonald Institute
Institute for Basic Science (IBS)
National Research Council
DOE's Office of Science
National Natural Science Foundation of China (NSFC)
Fonds de Recherche du Québec - Nature et Technologies
NERSC/LBNL
Lawrence Livermore National Laboratory
Laboratory Directed Research and Development
Chinese Academy of Sciences
Canada First Research Excellence Fund
National Sleep Foundation
Brookhaven National Laboratory (BNL)
Russian Foundation for Basic Research	18-02-00550
National Science Foundation Arctic Social Science Program	1833095
Pacific Northwest National Laboratory	PNNL
Oak Ridge National Laboratory	ORNL

ASJC Scopus subject areas

Mathematical Physics
Instrumentation

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10.1088/1748-0221/14/09/P09020

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Citar esto

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., ... Ziegler, T. (2019). Simulation of charge readout with segmented tiles in nEXO. Journal of Instrumentation, 14(9), Artículo P09020. https://doi.org/10.1088/1748-0221/14/09/P09020

@article{f3e81738523f4ed48d0d7bce702bf54c,

title = "Simulation of charge readout with segmented tiles in nEXO",

abstract = "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.",

keywords = "Double-beta decay detectors, Noble liquid detectors (scintillation, ionization, doublephase)",

author = "Z. Li and Cen, \{W. R.\} and A. Robinson and Moore, \{D. C.\} and Wen, \{L. J.\} and A. Odian and Kharusi, \{S. Al\} and G. Anton and Arnquist, \{I. J.\} and I. Badhrees and Barbeau, \{P. S.\} and D. Beck and V. Belov and T. Bhatta and Brodsky, \{J. P.\} and E. Brown and T. Brunner and E. Caden and Cao, \{G. F.\} and L. Cao and C. Chambers and B. Chana and Charlebois, \{S. A.\} and M. Chiu and B. Cleveland and M. Coon and A. Craycraft and J. Dalmasson and T. Daniels and L. Darroch and Daugherty, \{S. J.\} and Croix, \{A. De St\} and Mesrobian-Kabakian, \{A. Der\} and R. Devoe and Vacri, \{M. L.Di\} and J. Dilling and Ding, \{Y. Y.\} and Dolinski, \{M. J.\} and A. Dragone and J. Echevers and M. Elbeltagi and L. Fabris and D. Fairbank and W. Fairbank and J. Farine and S. Ferrara and S. Feyzbakhsh and R. Fontaine and A. Fucarino and G. Gallina and P. Gautam and G. Giacomini and D. Goeldi and R. Gornea and G. Gratta and Hansen, \{E. V.\} and M. Heffner and Hoppe, \{E. W.\} and J. H{\"o}{\ss}l and A. House and M. Hughes and A. Iverson and A. Jamil and Jewell, \{M. J.\} and Jiang, \{X. S.\} and A. Karelin and Kaufman, \{L. J.\} and D. Kodroff and T. Koffas and R. Kr{\"u}cken and A. Kuchenkov and Kumar, \{K. S.\} and Y. Lan and A. Larson and Leach, \{K. G.\} and Lenardo, \{B. G.\} and Leonard, \{D. S.\} and G. Li and S. Li and C. Licciardi and Lin, \{Y. H.\} and P. Lv and R. Maclellan and T. McElroy and M. Medina-Peregrina and T. Michel and B. Mong and K. Murray and P. Nakarmi and Natzke, \{C. R.\} and Newby, \{R. J.\} and Z. Ning and O. Njoya and F. Nolet and O. Nusair and K. Odgers and M. Oriunno and Orrell, \{J. L.\} and Ortega, \{G. S.\} and I. Ostrovskiy and Overman, \{C. T.\} and S. Parent and A. Piepke and A. Pocar and Pratte, \{J. F.\} and V. Radeka and E. Raguzin and S. Rescia and F. Reti{\`e}re and M. Richman and T. Rossignol and Rowson, \{P. C.\} and N. Roy and J. Runge and R. Saldanha and S. Sangiorgio and Viii, \{K. Skarpaas\} and Soma, \{A. K.\} and G. St-Hilaire and V. Stekhanov and T. Stiegler and Sun, \{X. L.\} and M. Tarka and J. Todd and T. Tolba and Totev, \{T. I.\} and R. Tsang and T. Tsang and F. Vachon and V. Veeraraghavan and S. Viel and G. Visser and C. Vivo-Vilches and Vuilleumier, \{J. L.\} and M. Wagenpfeil and M. Walent and Q. Wang and M. Ward and J. Watkins and M. Weber and W. Wei and U. Wichoski and Wu, \{S. X.\} and Wu, \{W. H.\} and X. Wu and Q. Xia and H. Yang and L. Yang and Yen, \{Y. R.\} and O. Zeldovich and J. Zhao and Y. Zhou and T. Ziegler",

note = "Publisher Copyright: {\textcopyright} 2019 IOP Publishing Ltd and Sissa Medialab.",

year = "2019",

month = sep,

day = "24",

doi = "10.1088/1748-0221/14/09/P09020",

language = "English",

volume = "14",

number = "9",

}

Li, Z, Cen, WR, Robinson, A, Moore, DC, Wen, LJ, Odian, A, Kharusi, SA, Anton, G, Arnquist, IJ, Badhrees, I, Barbeau, PS, Beck, D, Belov, V, Bhatta, T, Brodsky, JP, Brown, E, Brunner, T, Caden, E, Cao, GF, Cao, L, Chambers, C, Chana, B, Charlebois, SA, Chiu, M, Cleveland, B, Coon, M, Craycraft, A, Dalmasson, J, Daniels, T, Darroch, L, Daugherty, SJ, Croix, ADS, Mesrobian-Kabakian, AD, Devoe, R, Vacri, MLD, Dilling, J, Ding, YY, Dolinski, MJ, 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, EV, Heffner, M, Hoppe, EW, Hößl, J, House, A, Hughes, M, Iverson, A, Jamil, A, Jewell, MJ, Jiang, XS, Karelin, A, Kaufman, LJ, Kodroff, D, Koffas, T, Krücken, R, Kuchenkov, A, Kumar, KS, Lan, Y, Larson, A, Leach, KG, Lenardo, BG, Leonard, DS, Li, G, Li, S, Licciardi, C, Lin, YH, Lv, P, Maclellan, R, McElroy, T, Medina-Peregrina, M, Michel, T, Mong, B, Murray, K, Nakarmi, P, Natzke, CR, Newby, RJ, Ning, Z, Njoya, O, Nolet, F, Nusair, O, Odgers, K, Oriunno, M, Orrell, JL, Ortega, GS, Ostrovskiy, I, Overman, CT, Parent, S, Piepke, A, Pocar, A, Pratte, JF, Radeka, V, Raguzin, E, Rescia, S, Retière, F, Richman, M, Rossignol, T, Rowson, PC, Roy, N, Runge, J, Saldanha, R, Sangiorgio, S, Viii, KS, Soma, AK, St-Hilaire, G, Stekhanov, V, Stiegler, T, Sun, XL, Tarka, M, Todd, J, Tolba, T, Totev, TI, Tsang, R, Tsang, T, Vachon, F, Veeraraghavan, V, Viel, S, Visser, G, Vivo-Vilches, C, Vuilleumier, JL, Wagenpfeil, M, Walent, M, Wang, Q, Ward, M, Watkins, J, Weber, M, Wei, W, Wichoski, U, Wu, SX, Wu, WH, Wu, X, Xia, Q, Yang, H, Yang, L, Yen, YR, Zeldovich, O, Zhao, J, Zhou, Y & Ziegler, T 2019, 'Simulation of charge readout with segmented tiles in nEXO', Journal of Instrumentation, vol. 14, n.º 9, P09020. https://doi.org/10.1088/1748-0221/14/09/P09020

TY - JOUR

T1 - Simulation of charge readout with segmented tiles in nEXO

AU - Li, Z.

AU - Cen, W. R.

AU - Robinson, A.

AU - Moore, D. C.

AU - Wen, L. J.

AU - Odian, A.

AU - Kharusi, S. Al

AU - Anton, G.

AU - Arnquist, I. J.

AU - Badhrees, I.

AU - Barbeau, P. S.

AU - Beck, D.

AU - Belov, V.

AU - Bhatta, T.

AU - Brodsky, J. P.

AU - Brown, E.

AU - Brunner, T.

AU - Caden, E.

AU - Cao, G. F.

AU - Cao, L.

AU - Chambers, C.

AU - Chana, B.

AU - Charlebois, S. A.

AU - Chiu, M.

AU - Cleveland, B.

AU - Coon, M.

AU - Craycraft, A.

AU - Dalmasson, J.

AU - Daniels, T.

AU - Darroch, L.

AU - Daugherty, S. J.

AU - Croix, A. De St

AU - Mesrobian-Kabakian, A. Der

AU - Devoe, R.

AU - Vacri, M. L.Di

AU - Dilling, J.

AU - Ding, Y. Y.

AU - Dolinski, M. J.

AU - Dragone, A.

AU - Echevers, J.

AU - Elbeltagi, M.

AU - Fabris, L.

AU - Fairbank, D.

AU - Fairbank, W.

AU - Farine, J.

AU - Ferrara, S.

AU - Feyzbakhsh, S.

AU - Fontaine, R.

AU - Fucarino, A.

AU - Gallina, G.

AU - Gautam, P.

AU - Giacomini, G.

AU - Goeldi, D.

AU - Gornea, R.

AU - Gratta, G.

AU - Hansen, E. V.

AU - Heffner, M.

AU - Hoppe, E. W.

AU - Hößl, J.

AU - House, A.

AU - Hughes, M.

AU - Iverson, A.

AU - Jamil, A.

AU - Jewell, M. J.

AU - Jiang, X. S.

AU - Karelin, A.

AU - Kaufman, L. J.

AU - Kodroff, D.

AU - Koffas, T.

AU - Krücken, R.

AU - Kuchenkov, A.

AU - Kumar, K. S.

AU - Lan, Y.

AU - Larson, A.

AU - Leach, K. G.

AU - Lenardo, B. G.

AU - Leonard, D. S.

AU - Li, G.

AU - Li, S.

AU - Licciardi, C.

AU - Lin, Y. H.

AU - Lv, P.

AU - Maclellan, R.

AU - McElroy, T.

AU - Medina-Peregrina, M.

AU - Michel, T.

AU - Mong, B.

AU - Murray, K.

AU - Nakarmi, P.

AU - Natzke, C. R.

AU - Newby, R. J.

AU - Ning, Z.

AU - Njoya, O.

AU - Nolet, F.

AU - Nusair, O.

AU - Odgers, K.

AU - Oriunno, M.

AU - Orrell, J. L.

AU - Ortega, G. S.

AU - Ostrovskiy, I.

AU - Overman, C. T.

AU - Parent, S.

AU - Piepke, A.

AU - Pocar, A.

AU - Pratte, J. F.

AU - Radeka, V.

AU - Raguzin, E.

AU - Rescia, S.

AU - Retière, F.

AU - Richman, M.

AU - Rossignol, T.

AU - Rowson, P. C.

AU - Roy, N.

AU - Runge, J.

AU - Saldanha, R.

AU - Sangiorgio, S.

AU - Viii, K. Skarpaas

AU - Soma, A. K.

AU - St-Hilaire, G.

AU - Stekhanov, V.

AU - Stiegler, T.

AU - Sun, X. L.

AU - Tarka, M.

AU - Todd, J.

AU - Tolba, T.

AU - Totev, T. I.

AU - Tsang, R.

AU - Tsang, T.

AU - Vachon, F.

AU - Veeraraghavan, V.

AU - Viel, S.

AU - Visser, G.

AU - Vivo-Vilches, C.

AU - Vuilleumier, J. L.

AU - Wagenpfeil, M.

AU - Walent, M.

AU - Wang, Q.

AU - Ward, M.

AU - Watkins, J.

AU - Weber, M.

AU - Wei, W.

AU - Wichoski, U.

AU - Wu, S. X.

AU - Wu, W. H.

AU - Wu, X.

AU - Xia, Q.

AU - Yang, H.

AU - Yang, L.

AU - Yen, Y. R.

AU - Zeldovich, O.

AU - Zhao, J.

AU - Zhou, Y.

AU - Ziegler, T.

PY - 2019/9/24

Y1 - 2019/9/24

N2 - 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.

AB - 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.

KW - Double-beta decay detectors

KW - Noble liquid detectors (scintillation, ionization, doublephase)

UR - https://www.scopus.com/pages/publications/85074298286

UR - https://www.scopus.com/pages/publications/85074298286#tab=citedBy

U2 - 10.1088/1748-0221/14/09/P09020

DO - 10.1088/1748-0221/14/09/P09020

M3 - Article

AN - SCOPUS:85074298286

SN - 1748-0221

VL - 14

JO - Journal of Instrumentation

JF - Journal of Instrumentation

IS - 9

M1 - P09020

ER -

Simulation of charge readout with segmented tiles in nEXO

Resumen

Nota bibliográfica

Financiación

ASJC Scopus subject areas

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