Boosting background suppression in the NEXT experiment through Richardson-Lucy deconvolution

التفاصيل البيبلوغرافية
العنوان: Boosting background suppression in the NEXT experiment through Richardson-Lucy deconvolution
المؤلفون: Javier Pérez, Javier Rodríguez, T. Contreras, C. Newhouse, Marta Losada, T.T. Vuong, L. Rogers, A.A. Denisenko, K. Woodruff, S. Cebrián, N. López-March, K. Hafidi, R. C. Webb, J.V. Carrión, J. Torrent, J. M. Benlloch-Rodríguez, L. Ripoll, J.T. White, P. Lebrun, B. J. P. Jones, J. Muñoz Vidal, R.D.P. Mano, Iván Rivilla, F. Monrabal, B. Aparicio, A.B. Redwine, Y. Ifergan, C.A.O. Henriques, F.P. Cossío, I.J. Arnquist, J. Ho, R. Guenette, Z.-E. Meziani, J.F. Toledo, B. Palmeiro, Kevin Bailey, C. Adams, A.D. McDonald, N. Byrnes, S. Cárcel, R. Felkai, A.I. Aranburu, J.A. Hernando Morata, J. S. Díaz, M. Martínez-Vara, P. Novella, L.M.P. Fernandes, J.M.R. Teixeira, J. Martín-Albo, J.J. Gómez-Cadenas, C. Stanford, J. Escada, F.P. Santos, C.D.R. Azevedo, F.I.G.M. Borges, E. Oblak, A. Para, A. Usón, R. González, M. Querol, P. Herrero, M. Sorel, J.F.C.A. Veloso, E.D.C. Freitas, C.A.N. Conde, Luis Labarga, C.M.B. Monteiro, A.L. Ferreira, H. Almazán, Zoraida Freixa, A. Goldschmidt, J. Hauptman, Ana Martínez, Diego González-Díaz, Y. Rodriguez Garcia, J.M.F. dos Santos, J. Haefner, Víctor H. Alvarez, Lior Arazi, Frank W. Foss, Roberto Gutiérrez, V. Herrero, E. Church, N. Yahlali, C. Romo-Luque, Romain Esteve, F. Ballester, S. Gosh, Paola Ferrario, D. R. Nygren, M. Kekic, A. Laing, M. Odriozola-Gimeno, P. Thapa, J. Generowicz, R. Weiss-Babai, J. Renner, G. Díaz, G. Martínez-Lema, B. Romeo, F.J. Mora, Celia Rogero, A. Simón
المساهمون: European Commission
المصدر: Journal of High Energy Physics, Vol 2021, Iss 7, Pp 1-38 (2021)
Addi. Archivo Digital para la Docencia y la Investigación
Universidad de Cantabria (UC)
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
Journal of High Energy Physics, 2021, art.núm. 146
Articles publicats (D-EMCI)
DUGiDocs – Universitat de Girona
Digital.CSIC. Repositorio Institucional del CSIC
Journal of High Energy Physics
بيانات النشر: Springer, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Nuclear and High Energy Physics, Ionization, Physics - Instrumentation and Detectors, Ionització, FOS: Physical sciences, double beta decay, Richardson–Lucy deconvolution, Bragg peak, Electron, QC770-798, 01 natural sciences, Signal, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), Double beta decay, Nuclear and particle physics. Atomic energy. Radioactivity, gas, 0103 physical sciences, 010306 general physics, Physics, 010308 nuclear & particles physics, Raigs beta -- Desintegració, Instrumentation and Detectors (physics.ins-det), Computational physics, dark matter and double beta decay (experiments), Beta rays -- Decay, Deconvolution, Energy (signal processing)
الوصف: The NEXT collaboration: et al.
Next-generation neutrinoless double beta decay experiments aim for half-life sensitivities of ∼ 1027 yr, requiring suppressing backgrounds to < 1 count/tonne/yr. For this, any extra background rejection handle, beyond excellent energy resolution and the use of extremely radiopure materials, is of utmost importance. The NEXT experiment exploits differences in the spatial ionization patterns of double beta decay and single-electron events to discriminate signal from background. While the former display two Bragg peak dense ionization regions at the opposite ends of the track, the latter typically have only one such feature. Thus, comparing the energies at the track extremes provides an additional rejection tool. The unique combination of the topology-based background discrimination and excellent energy resolution (1% FWHM at the Q-value of the decay) is the distinguishing feature of NEXT. Previous studies demonstrated a topological background rejection factor of ∼ 5 when reconstructing electron-positron pairs in the 208Tl 1.6 MeV double escape peak (with Compton events as background), recorded in the NEXT-White demonstrator at the Laboratorio Subterráneo de Canfranc, with 72% signal efficiency. This was recently improved through the use of a deep convolutional neural network to yield a background rejection factor of ∼ 10 with 65% signal efficiency. Here, we present a new reconstruction method, based on the Richardson-Lucy deconvolution algorithm, which allows reversing the blurring induced by electron diffusion and electroluminescence light production in the NEXT TPC. The new method yields highly refined 3D images of reconstructed events, and, as a result, significantly improves the topological background discrimination. When applied to real-data 1.6 MeV e−e+ pairs, it leads to a background rejection factor of 27 at 57% signal efficiency.
وصف الملف: application/pdf
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::597a8974e5416c74984400e79a434e46
http://hdl.handle.net/10810/53108
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....597a8974e5416c74984400e79a434e46
قاعدة البيانات: OpenAIRE