Boosting background suppression in the NEXT experiment through Richardson-Lucy deconvolution
Abstract 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 materia...
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The NEXT collaboration [verfasserIn] A. Simón [verfasserIn] Y. Ifergan [verfasserIn] A. B. Redwine [verfasserIn] R. Weiss-Babai [verfasserIn] L. Arazi [verfasserIn] C. Adams [verfasserIn] H. Almazán [verfasserIn] V. Álvarez [verfasserIn] B. Aparicio [verfasserIn] A. I. Aranburu [verfasserIn] I. J. Arnquist [verfasserIn] C. D. R Azevedo [verfasserIn] K. Bailey [verfasserIn] F. Ballester [verfasserIn] J. M. Benlloch-Rodríguez [verfasserIn] F. I. G. M. Borges [verfasserIn] N. Byrnes [verfasserIn] S. Cárcel [verfasserIn] J. V. Carrión [verfasserIn] S. Cebrián [verfasserIn] E. Church [verfasserIn] C. A. N. Conde [verfasserIn] T. Contreras [verfasserIn] F. P. Cossío [verfasserIn] A. A. Denisenko [verfasserIn] G. Díaz [verfasserIn] J. Díaz [verfasserIn] J. Escada [verfasserIn] R. Esteve [verfasserIn] R. Felkai [verfasserIn] L. M. P. Fernandes [verfasserIn] P. Ferrario [verfasserIn] A. L. Ferreira [verfasserIn] F. Foss [verfasserIn] E. D. C. Freitas [verfasserIn] Z. Freixa [verfasserIn] J. Generowicz [verfasserIn] A. Goldschmidt [verfasserIn] J. J. Gómez-Cadenas [verfasserIn] R. González [verfasserIn] D. González-Díaz [verfasserIn] S. Gosh [verfasserIn] R. Guenette [verfasserIn] R. M. Gutiérrez [verfasserIn] J. Haefner [verfasserIn] K. Hafidi [verfasserIn] J. Hauptman [verfasserIn] C. A. O. Henriques [verfasserIn] J. A. Hernando Morata [verfasserIn] P. Herrero [verfasserIn] V. Herrero [verfasserIn] J. Ho [verfasserIn] B. J. P. Jones [verfasserIn] M. Kekic [verfasserIn] L. Labarga [verfasserIn] A. Laing [verfasserIn] P. Lebrun [verfasserIn] N. López-March [verfasserIn] M. Losada [verfasserIn] R. D. P. Mano [verfasserIn] J. Martín-Albo [verfasserIn] A. Martínez [verfasserIn] M. Martínez-Vara [verfasserIn] G. Martínez-Lema [verfasserIn] A. D. McDonald [verfasserIn] Z.-E. Meziani [verfasserIn] F. Monrabal [verfasserIn] C. M. B. Monteiro [verfasserIn] F. J. Mora [verfasserIn] J. Muñoz Vidal [verfasserIn] C. Newhouse [verfasserIn] P. Novella [verfasserIn] D. R. Nygren [verfasserIn] E. Oblak [verfasserIn] M. Odriozola-Gimeno [verfasserIn] B. Palmeiro [verfasserIn] A. Para [verfasserIn] J. Pérez [verfasserIn] M. Querol [verfasserIn] J. Renner [verfasserIn] L. Ripoll [verfasserIn] I. Rivilla [verfasserIn] Y. Rodríguez García [verfasserIn] J. Rodríguez [verfasserIn] C. Rogero [verfasserIn] L. Rogers [verfasserIn] B. Romeo [verfasserIn] C. Romo-Luque [verfasserIn] F. P. Santos [verfasserIn] J. M. F. dos Santos [verfasserIn] M. Sorel [verfasserIn] C. Stanford [verfasserIn] J. M. R. Teixeira [verfasserIn] P. Thapa [verfasserIn] J. F. Toledo [verfasserIn] J. Torrent [verfasserIn] A. Usón [verfasserIn] J. F. C. A. Veloso [verfasserIn] T. T. Vuong [verfasserIn] R. Webb [verfasserIn] J. T. White [verfasserIn] K. Woodruff [verfasserIn] N. Yahlali [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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In: Journal of High Energy Physics - SpringerOpen, 2016, (2021), 7, Seite 38 |
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| Übergeordnetes Werk: |
year:2021 ; number:7 ; pages:38 |
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| DOI / URN: |
10.1007/JHEP07(2021)146 |
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| Katalog-ID: |
DOAJ05598861X |
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| 520 | |a Abstract 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. | ||
| 650 | 4 | |a Dark Matter and Double Beta Decay (experiments) | |
| 653 | 0 | |a Nuclear and particle physics. Atomic energy. Radioactivity | |
| 700 | 0 | |a A. Simón |e verfasserin |4 aut | |
| 700 | 0 | |a Y. Ifergan |e verfasserin |4 aut | |
| 700 | 0 | |a A. B. Redwine |e verfasserin |4 aut | |
| 700 | 0 | |a R. Weiss-Babai |e verfasserin |4 aut | |
| 700 | 0 | |a L. Arazi |e verfasserin |4 aut | |
| 700 | 0 | |a C. Adams |e verfasserin |4 aut | |
| 700 | 0 | |a H. Almazán |e verfasserin |4 aut | |
| 700 | 0 | |a V. Álvarez |e verfasserin |4 aut | |
| 700 | 0 | |a B. Aparicio |e verfasserin |4 aut | |
| 700 | 0 | |a A. I. Aranburu |e verfasserin |4 aut | |
| 700 | 0 | |a I. J. Arnquist |e verfasserin |4 aut | |
| 700 | 0 | |a C. D. R Azevedo |e verfasserin |4 aut | |
| 700 | 0 | |a K. Bailey |e verfasserin |4 aut | |
| 700 | 0 | |a F. Ballester |e verfasserin |4 aut | |
| 700 | 0 | |a J. M. Benlloch-Rodríguez |e verfasserin |4 aut | |
| 700 | 0 | |a F. I. G. M. Borges |e verfasserin |4 aut | |
| 700 | 0 | |a N. Byrnes |e verfasserin |4 aut | |
| 700 | 0 | |a S. Cárcel |e verfasserin |4 aut | |
| 700 | 0 | |a J. V. Carrión |e verfasserin |4 aut | |
| 700 | 0 | |a S. Cebrián |e verfasserin |4 aut | |
| 700 | 0 | |a E. Church |e verfasserin |4 aut | |
| 700 | 0 | |a C. A. N. Conde |e verfasserin |4 aut | |
| 700 | 0 | |a T. Contreras |e verfasserin |4 aut | |
| 700 | 0 | |a F. P. Cossío |e verfasserin |4 aut | |
| 700 | 0 | |a A. A. Denisenko |e verfasserin |4 aut | |
| 700 | 0 | |a G. Díaz |e verfasserin |4 aut | |
| 700 | 0 | |a J. Díaz |e verfasserin |4 aut | |
| 700 | 0 | |a J. Escada |e verfasserin |4 aut | |
| 700 | 0 | |a R. Esteve |e verfasserin |4 aut | |
| 700 | 0 | |a R. Felkai |e verfasserin |4 aut | |
| 700 | 0 | |a L. M. P. Fernandes |e verfasserin |4 aut | |
| 700 | 0 | |a P. Ferrario |e verfasserin |4 aut | |
| 700 | 0 | |a A. L. Ferreira |e verfasserin |4 aut | |
| 700 | 0 | |a F. Foss |e verfasserin |4 aut | |
| 700 | 0 | |a E. D. C. Freitas |e verfasserin |4 aut | |
| 700 | 0 | |a Z. Freixa |e verfasserin |4 aut | |
| 700 | 0 | |a J. Generowicz |e verfasserin |4 aut | |
| 700 | 0 | |a A. Goldschmidt |e verfasserin |4 aut | |
| 700 | 0 | |a J. J. Gómez-Cadenas |e verfasserin |4 aut | |
| 700 | 0 | |a R. González |e verfasserin |4 aut | |
| 700 | 0 | |a D. González-Díaz |e verfasserin |4 aut | |
| 700 | 0 | |a S. Gosh |e verfasserin |4 aut | |
| 700 | 0 | |a R. Guenette |e verfasserin |4 aut | |
| 700 | 0 | |a R. M. Gutiérrez |e verfasserin |4 aut | |
| 700 | 0 | |a J. Haefner |e verfasserin |4 aut | |
| 700 | 0 | |a K. Hafidi |e verfasserin |4 aut | |
| 700 | 0 | |a J. Hauptman |e verfasserin |4 aut | |
| 700 | 0 | |a C. A. O. Henriques |e verfasserin |4 aut | |
| 700 | 0 | |a J. A. Hernando Morata |e verfasserin |4 aut | |
| 700 | 0 | |a P. Herrero |e verfasserin |4 aut | |
| 700 | 0 | |a V. Herrero |e verfasserin |4 aut | |
| 700 | 0 | |a J. Ho |e verfasserin |4 aut | |
| 700 | 0 | |a B. J. P. Jones |e verfasserin |4 aut | |
| 700 | 0 | |a M. Kekic |e verfasserin |4 aut | |
| 700 | 0 | |a L. Labarga |e verfasserin |4 aut | |
| 700 | 0 | |a A. Laing |e verfasserin |4 aut | |
| 700 | 0 | |a P. Lebrun |e verfasserin |4 aut | |
| 700 | 0 | |a N. López-March |e verfasserin |4 aut | |
| 700 | 0 | |a M. Losada |e verfasserin |4 aut | |
| 700 | 0 | |a R. D. P. Mano |e verfasserin |4 aut | |
| 700 | 0 | |a J. Martín-Albo |e verfasserin |4 aut | |
| 700 | 0 | |a A. Martínez |e verfasserin |4 aut | |
| 700 | 0 | |a M. Martínez-Vara |e verfasserin |4 aut | |
| 700 | 0 | |a G. Martínez-Lema |e verfasserin |4 aut | |
| 700 | 0 | |a A. D. McDonald |e verfasserin |4 aut | |
| 700 | 0 | |a Z.-E. Meziani |e verfasserin |4 aut | |
| 700 | 0 | |a F. Monrabal |e verfasserin |4 aut | |
| 700 | 0 | |a C. M. B. Monteiro |e verfasserin |4 aut | |
| 700 | 0 | |a F. J. Mora |e verfasserin |4 aut | |
| 700 | 0 | |a J. Muñoz Vidal |e verfasserin |4 aut | |
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| 700 | 0 | |a P. Novella |e verfasserin |4 aut | |
| 700 | 0 | |a D. R. Nygren |e verfasserin |4 aut | |
| 700 | 0 | |a E. Oblak |e verfasserin |4 aut | |
| 700 | 0 | |a M. Odriozola-Gimeno |e verfasserin |4 aut | |
| 700 | 0 | |a B. Palmeiro |e verfasserin |4 aut | |
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| 700 | 0 | |a J. Pérez |e verfasserin |4 aut | |
| 700 | 0 | |a M. Querol |e verfasserin |4 aut | |
| 700 | 0 | |a J. Renner |e verfasserin |4 aut | |
| 700 | 0 | |a L. Ripoll |e verfasserin |4 aut | |
| 700 | 0 | |a I. Rivilla |e verfasserin |4 aut | |
| 700 | 0 | |a Y. Rodríguez García |e verfasserin |4 aut | |
| 700 | 0 | |a J. Rodríguez |e verfasserin |4 aut | |
| 700 | 0 | |a C. Rogero |e verfasserin |4 aut | |
| 700 | 0 | |a L. Rogers |e verfasserin |4 aut | |
| 700 | 0 | |a B. Romeo |e verfasserin |4 aut | |
| 700 | 0 | |a C. Romo-Luque |e verfasserin |4 aut | |
| 700 | 0 | |a F. P. Santos |e verfasserin |4 aut | |
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10.1007/JHEP07(2021)146 doi (DE-627)DOAJ05598861X (DE-599)DOAJa0e7bdf283c34fe29389fea50da0241c DE-627 ger DE-627 rakwb eng QC770-798 The NEXT collaboration verfasserin aut Boosting background suppression in the NEXT experiment through Richardson-Lucy deconvolution 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Dark Matter and Double Beta Decay (experiments) Nuclear and particle physics. Atomic energy. Radioactivity A. Simón verfasserin aut Y. Ifergan verfasserin aut A. B. Redwine verfasserin aut R. Weiss-Babai verfasserin aut L. Arazi verfasserin aut C. Adams verfasserin aut H. Almazán verfasserin aut V. Álvarez verfasserin aut B. Aparicio verfasserin aut A. I. Aranburu verfasserin aut I. J. Arnquist verfasserin aut C. D. R Azevedo verfasserin aut K. Bailey verfasserin aut F. Ballester verfasserin aut J. M. Benlloch-Rodríguez verfasserin aut F. I. G. M. Borges verfasserin aut N. Byrnes verfasserin aut S. Cárcel verfasserin aut J. V. Carrión verfasserin aut S. Cebrián verfasserin aut E. Church verfasserin aut C. A. N. Conde verfasserin aut T. Contreras verfasserin aut F. P. Cossío verfasserin aut A. A. Denisenko verfasserin aut G. Díaz verfasserin aut J. Díaz verfasserin aut J. Escada verfasserin aut R. Esteve verfasserin aut R. Felkai verfasserin aut L. M. P. Fernandes verfasserin aut P. Ferrario verfasserin aut A. L. Ferreira verfasserin aut F. Foss verfasserin aut E. D. C. Freitas verfasserin aut Z. Freixa verfasserin aut J. Generowicz verfasserin aut A. Goldschmidt verfasserin aut J. J. Gómez-Cadenas verfasserin aut R. González verfasserin aut D. González-Díaz verfasserin aut S. Gosh verfasserin aut R. Guenette verfasserin aut R. M. Gutiérrez verfasserin aut J. Haefner verfasserin aut K. Hafidi verfasserin aut J. Hauptman verfasserin aut C. A. O. Henriques verfasserin aut J. A. Hernando Morata verfasserin aut P. Herrero verfasserin aut V. Herrero verfasserin aut J. Ho verfasserin aut B. J. P. Jones verfasserin aut M. Kekic verfasserin aut L. Labarga verfasserin aut A. Laing verfasserin aut P. Lebrun verfasserin aut N. López-March verfasserin aut M. Losada verfasserin aut R. D. P. Mano verfasserin aut J. Martín-Albo verfasserin aut A. Martínez verfasserin aut M. Martínez-Vara verfasserin aut G. Martínez-Lema verfasserin aut A. D. McDonald verfasserin aut Z.-E. Meziani verfasserin aut F. Monrabal verfasserin aut C. M. B. Monteiro verfasserin aut F. J. Mora verfasserin aut J. Muñoz Vidal verfasserin aut C. Newhouse verfasserin aut P. Novella verfasserin aut D. R. Nygren verfasserin aut E. Oblak verfasserin aut M. Odriozola-Gimeno verfasserin aut B. Palmeiro verfasserin aut A. Para verfasserin aut J. Pérez verfasserin aut M. Querol verfasserin aut J. Renner verfasserin aut L. Ripoll verfasserin aut I. Rivilla verfasserin aut Y. Rodríguez García verfasserin aut J. Rodríguez verfasserin aut C. Rogero verfasserin aut L. Rogers verfasserin aut B. Romeo verfasserin aut C. Romo-Luque verfasserin aut F. P. Santos verfasserin aut J. M. F. dos Santos verfasserin aut M. Sorel verfasserin aut C. Stanford verfasserin aut J. M. R. Teixeira verfasserin aut P. Thapa verfasserin aut J. F. Toledo verfasserin aut J. Torrent verfasserin aut A. Usón verfasserin aut J. F. C. A. Veloso verfasserin aut T. T. Vuong verfasserin aut R. Webb verfasserin aut J. T. White verfasserin aut K. Woodruff verfasserin aut N. Yahlali verfasserin aut In Journal of High Energy Physics SpringerOpen, 2016 (2021), 7, Seite 38 (DE-627)320910571 (DE-600)2027350-2 10298479 nnns year:2021 number:7 pages:38 https://doi.org/10.1007/JHEP07(2021)146 kostenfrei https://doaj.org/article/a0e7bdf283c34fe29389fea50da0241c kostenfrei https://doi.org/10.1007/JHEP07(2021)146 kostenfrei https://doaj.org/toc/1029-8479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2021 7 38 |
| spelling |
10.1007/JHEP07(2021)146 doi (DE-627)DOAJ05598861X (DE-599)DOAJa0e7bdf283c34fe29389fea50da0241c DE-627 ger DE-627 rakwb eng QC770-798 The NEXT collaboration verfasserin aut Boosting background suppression in the NEXT experiment through Richardson-Lucy deconvolution 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Dark Matter and Double Beta Decay (experiments) Nuclear and particle physics. Atomic energy. Radioactivity A. Simón verfasserin aut Y. Ifergan verfasserin aut A. B. Redwine verfasserin aut R. Weiss-Babai verfasserin aut L. Arazi verfasserin aut C. Adams verfasserin aut H. Almazán verfasserin aut V. Álvarez verfasserin aut B. Aparicio verfasserin aut A. I. Aranburu verfasserin aut I. J. Arnquist verfasserin aut C. D. R Azevedo verfasserin aut K. Bailey verfasserin aut F. Ballester verfasserin aut J. M. Benlloch-Rodríguez verfasserin aut F. I. G. M. Borges verfasserin aut N. Byrnes verfasserin aut S. Cárcel verfasserin aut J. V. Carrión verfasserin aut S. Cebrián verfasserin aut E. Church verfasserin aut C. A. N. Conde verfasserin aut T. Contreras verfasserin aut F. P. Cossío verfasserin aut A. A. Denisenko verfasserin aut G. Díaz verfasserin aut J. Díaz verfasserin aut J. Escada verfasserin aut R. Esteve verfasserin aut R. Felkai verfasserin aut L. M. P. Fernandes verfasserin aut P. Ferrario verfasserin aut A. L. Ferreira verfasserin aut F. Foss verfasserin aut E. D. C. Freitas verfasserin aut Z. Freixa verfasserin aut J. Generowicz verfasserin aut A. Goldschmidt verfasserin aut J. J. Gómez-Cadenas verfasserin aut R. González verfasserin aut D. González-Díaz verfasserin aut S. Gosh verfasserin aut R. Guenette verfasserin aut R. M. Gutiérrez verfasserin aut J. Haefner verfasserin aut K. Hafidi verfasserin aut J. Hauptman verfasserin aut C. A. O. Henriques verfasserin aut J. A. Hernando Morata verfasserin aut P. Herrero verfasserin aut V. Herrero verfasserin aut J. Ho verfasserin aut B. J. P. Jones verfasserin aut M. Kekic verfasserin aut L. Labarga verfasserin aut A. Laing verfasserin aut P. Lebrun verfasserin aut N. López-March verfasserin aut M. Losada verfasserin aut R. D. P. Mano verfasserin aut J. Martín-Albo verfasserin aut A. Martínez verfasserin aut M. Martínez-Vara verfasserin aut G. Martínez-Lema verfasserin aut A. D. McDonald verfasserin aut Z.-E. Meziani verfasserin aut F. Monrabal verfasserin aut C. M. B. Monteiro verfasserin aut F. J. Mora verfasserin aut J. Muñoz Vidal verfasserin aut C. Newhouse verfasserin aut P. Novella verfasserin aut D. R. Nygren verfasserin aut E. Oblak verfasserin aut M. Odriozola-Gimeno verfasserin aut B. Palmeiro verfasserin aut A. Para verfasserin aut J. Pérez verfasserin aut M. Querol verfasserin aut J. Renner verfasserin aut L. Ripoll verfasserin aut I. Rivilla verfasserin aut Y. Rodríguez García verfasserin aut J. Rodríguez verfasserin aut C. Rogero verfasserin aut L. Rogers verfasserin aut B. Romeo verfasserin aut C. Romo-Luque verfasserin aut F. P. Santos verfasserin aut J. M. F. dos Santos verfasserin aut M. Sorel verfasserin aut C. Stanford verfasserin aut J. M. R. Teixeira verfasserin aut P. Thapa verfasserin aut J. F. Toledo verfasserin aut J. Torrent verfasserin aut A. Usón verfasserin aut J. F. C. A. Veloso verfasserin aut T. T. Vuong verfasserin aut R. Webb verfasserin aut J. T. White verfasserin aut K. Woodruff verfasserin aut N. Yahlali verfasserin aut In Journal of High Energy Physics SpringerOpen, 2016 (2021), 7, Seite 38 (DE-627)320910571 (DE-600)2027350-2 10298479 nnns year:2021 number:7 pages:38 https://doi.org/10.1007/JHEP07(2021)146 kostenfrei https://doaj.org/article/a0e7bdf283c34fe29389fea50da0241c kostenfrei https://doi.org/10.1007/JHEP07(2021)146 kostenfrei https://doaj.org/toc/1029-8479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2021 7 38 |
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10.1007/JHEP07(2021)146 doi (DE-627)DOAJ05598861X (DE-599)DOAJa0e7bdf283c34fe29389fea50da0241c DE-627 ger DE-627 rakwb eng QC770-798 The NEXT collaboration verfasserin aut Boosting background suppression in the NEXT experiment through Richardson-Lucy deconvolution 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Dark Matter and Double Beta Decay (experiments) Nuclear and particle physics. Atomic energy. Radioactivity A. Simón verfasserin aut Y. Ifergan verfasserin aut A. B. Redwine verfasserin aut R. Weiss-Babai verfasserin aut L. Arazi verfasserin aut C. Adams verfasserin aut H. Almazán verfasserin aut V. Álvarez verfasserin aut B. Aparicio verfasserin aut A. I. Aranburu verfasserin aut I. J. Arnquist verfasserin aut C. D. R Azevedo verfasserin aut K. Bailey verfasserin aut F. Ballester verfasserin aut J. M. Benlloch-Rodríguez verfasserin aut F. I. G. M. Borges verfasserin aut N. Byrnes verfasserin aut S. Cárcel verfasserin aut J. V. Carrión verfasserin aut S. Cebrián verfasserin aut E. Church verfasserin aut C. A. N. Conde verfasserin aut T. Contreras verfasserin aut F. P. Cossío verfasserin aut A. A. Denisenko verfasserin aut G. Díaz verfasserin aut J. Díaz verfasserin aut J. Escada verfasserin aut R. Esteve verfasserin aut R. Felkai verfasserin aut L. M. P. Fernandes verfasserin aut P. Ferrario verfasserin aut A. L. Ferreira verfasserin aut F. Foss verfasserin aut E. D. C. Freitas verfasserin aut Z. Freixa verfasserin aut J. Generowicz verfasserin aut A. Goldschmidt verfasserin aut J. J. Gómez-Cadenas verfasserin aut R. González verfasserin aut D. González-Díaz verfasserin aut S. Gosh verfasserin aut R. Guenette verfasserin aut R. M. Gutiérrez verfasserin aut J. Haefner verfasserin aut K. Hafidi verfasserin aut J. Hauptman verfasserin aut C. A. O. Henriques verfasserin aut J. A. Hernando Morata verfasserin aut P. Herrero verfasserin aut V. Herrero verfasserin aut J. Ho verfasserin aut B. J. P. Jones verfasserin aut M. Kekic verfasserin aut L. Labarga verfasserin aut A. Laing verfasserin aut P. Lebrun verfasserin aut N. López-March verfasserin aut M. Losada verfasserin aut R. D. P. Mano verfasserin aut J. Martín-Albo verfasserin aut A. Martínez verfasserin aut M. Martínez-Vara verfasserin aut G. Martínez-Lema verfasserin aut A. D. McDonald verfasserin aut Z.-E. Meziani verfasserin aut F. Monrabal verfasserin aut C. M. B. Monteiro verfasserin aut F. J. Mora verfasserin aut J. Muñoz Vidal verfasserin aut C. Newhouse verfasserin aut P. Novella verfasserin aut D. R. Nygren verfasserin aut E. Oblak verfasserin aut M. Odriozola-Gimeno verfasserin aut B. Palmeiro verfasserin aut A. Para verfasserin aut J. Pérez verfasserin aut M. Querol verfasserin aut J. Renner verfasserin aut L. Ripoll verfasserin aut I. Rivilla verfasserin aut Y. Rodríguez García verfasserin aut J. Rodríguez verfasserin aut C. Rogero verfasserin aut L. Rogers verfasserin aut B. Romeo verfasserin aut C. Romo-Luque verfasserin aut F. P. Santos verfasserin aut J. M. F. dos Santos verfasserin aut M. Sorel verfasserin aut C. Stanford verfasserin aut J. M. R. Teixeira verfasserin aut P. Thapa verfasserin aut J. F. Toledo verfasserin aut J. Torrent verfasserin aut A. Usón verfasserin aut J. F. C. A. Veloso verfasserin aut T. T. Vuong verfasserin aut R. Webb verfasserin aut J. T. White verfasserin aut K. Woodruff verfasserin aut N. Yahlali verfasserin aut In Journal of High Energy Physics SpringerOpen, 2016 (2021), 7, Seite 38 (DE-627)320910571 (DE-600)2027350-2 10298479 nnns year:2021 number:7 pages:38 https://doi.org/10.1007/JHEP07(2021)146 kostenfrei https://doaj.org/article/a0e7bdf283c34fe29389fea50da0241c kostenfrei https://doi.org/10.1007/JHEP07(2021)146 kostenfrei https://doaj.org/toc/1029-8479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2021 7 38 |
| allfieldsGer |
10.1007/JHEP07(2021)146 doi (DE-627)DOAJ05598861X (DE-599)DOAJa0e7bdf283c34fe29389fea50da0241c DE-627 ger DE-627 rakwb eng QC770-798 The NEXT collaboration verfasserin aut Boosting background suppression in the NEXT experiment through Richardson-Lucy deconvolution 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Dark Matter and Double Beta Decay (experiments) Nuclear and particle physics. Atomic energy. Radioactivity A. Simón verfasserin aut Y. Ifergan verfasserin aut A. B. Redwine verfasserin aut R. Weiss-Babai verfasserin aut L. Arazi verfasserin aut C. Adams verfasserin aut H. Almazán verfasserin aut V. Álvarez verfasserin aut B. Aparicio verfasserin aut A. I. Aranburu verfasserin aut I. J. Arnquist verfasserin aut C. D. R Azevedo verfasserin aut K. Bailey verfasserin aut F. Ballester verfasserin aut J. M. Benlloch-Rodríguez verfasserin aut F. I. G. M. Borges verfasserin aut N. Byrnes verfasserin aut S. Cárcel verfasserin aut J. V. Carrión verfasserin aut S. Cebrián verfasserin aut E. Church verfasserin aut C. A. N. Conde verfasserin aut T. Contreras verfasserin aut F. P. Cossío verfasserin aut A. A. Denisenko verfasserin aut G. Díaz verfasserin aut J. Díaz verfasserin aut J. Escada verfasserin aut R. Esteve verfasserin aut R. Felkai verfasserin aut L. M. P. Fernandes verfasserin aut P. Ferrario verfasserin aut A. L. Ferreira verfasserin aut F. Foss verfasserin aut E. D. C. Freitas verfasserin aut Z. Freixa verfasserin aut J. Generowicz verfasserin aut A. Goldschmidt verfasserin aut J. J. Gómez-Cadenas verfasserin aut R. González verfasserin aut D. González-Díaz verfasserin aut S. Gosh verfasserin aut R. Guenette verfasserin aut R. M. Gutiérrez verfasserin aut J. Haefner verfasserin aut K. Hafidi verfasserin aut J. Hauptman verfasserin aut C. A. O. Henriques verfasserin aut J. A. Hernando Morata verfasserin aut P. Herrero verfasserin aut V. Herrero verfasserin aut J. Ho verfasserin aut B. J. P. Jones verfasserin aut M. Kekic verfasserin aut L. Labarga verfasserin aut A. Laing verfasserin aut P. Lebrun verfasserin aut N. López-March verfasserin aut M. Losada verfasserin aut R. D. P. Mano verfasserin aut J. Martín-Albo verfasserin aut A. Martínez verfasserin aut M. Martínez-Vara verfasserin aut G. Martínez-Lema verfasserin aut A. D. McDonald verfasserin aut Z.-E. Meziani verfasserin aut F. Monrabal verfasserin aut C. M. B. Monteiro verfasserin aut F. J. Mora verfasserin aut J. Muñoz Vidal verfasserin aut C. Newhouse verfasserin aut P. Novella verfasserin aut D. R. Nygren verfasserin aut E. Oblak verfasserin aut M. Odriozola-Gimeno verfasserin aut B. Palmeiro verfasserin aut A. Para verfasserin aut J. Pérez verfasserin aut M. Querol verfasserin aut J. Renner verfasserin aut L. Ripoll verfasserin aut I. Rivilla verfasserin aut Y. Rodríguez García verfasserin aut J. Rodríguez verfasserin aut C. Rogero verfasserin aut L. Rogers verfasserin aut B. Romeo verfasserin aut C. Romo-Luque verfasserin aut F. P. Santos verfasserin aut J. M. F. dos Santos verfasserin aut M. Sorel verfasserin aut C. Stanford verfasserin aut J. M. R. Teixeira verfasserin aut P. Thapa verfasserin aut J. F. Toledo verfasserin aut J. Torrent verfasserin aut A. Usón verfasserin aut J. F. C. A. Veloso verfasserin aut T. T. Vuong verfasserin aut R. Webb verfasserin aut J. T. White verfasserin aut K. Woodruff verfasserin aut N. Yahlali verfasserin aut In Journal of High Energy Physics SpringerOpen, 2016 (2021), 7, Seite 38 (DE-627)320910571 (DE-600)2027350-2 10298479 nnns year:2021 number:7 pages:38 https://doi.org/10.1007/JHEP07(2021)146 kostenfrei https://doaj.org/article/a0e7bdf283c34fe29389fea50da0241c kostenfrei https://doi.org/10.1007/JHEP07(2021)146 kostenfrei https://doaj.org/toc/1029-8479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2021 7 38 |
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10.1007/JHEP07(2021)146 doi (DE-627)DOAJ05598861X (DE-599)DOAJa0e7bdf283c34fe29389fea50da0241c DE-627 ger DE-627 rakwb eng QC770-798 The NEXT collaboration verfasserin aut Boosting background suppression in the NEXT experiment through Richardson-Lucy deconvolution 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Dark Matter and Double Beta Decay (experiments) Nuclear and particle physics. Atomic energy. Radioactivity A. Simón verfasserin aut Y. Ifergan verfasserin aut A. B. Redwine verfasserin aut R. Weiss-Babai verfasserin aut L. Arazi verfasserin aut C. Adams verfasserin aut H. Almazán verfasserin aut V. Álvarez verfasserin aut B. Aparicio verfasserin aut A. I. Aranburu verfasserin aut I. J. Arnquist verfasserin aut C. D. R Azevedo verfasserin aut K. Bailey verfasserin aut F. Ballester verfasserin aut J. M. Benlloch-Rodríguez verfasserin aut F. I. G. M. Borges verfasserin aut N. Byrnes verfasserin aut S. Cárcel verfasserin aut J. V. Carrión verfasserin aut S. Cebrián verfasserin aut E. Church verfasserin aut C. A. N. Conde verfasserin aut T. Contreras verfasserin aut F. P. Cossío verfasserin aut A. A. Denisenko verfasserin aut G. Díaz verfasserin aut J. Díaz verfasserin aut J. Escada verfasserin aut R. Esteve verfasserin aut R. Felkai verfasserin aut L. M. P. Fernandes verfasserin aut P. Ferrario verfasserin aut A. L. Ferreira verfasserin aut F. Foss verfasserin aut E. D. C. Freitas verfasserin aut Z. Freixa verfasserin aut J. Generowicz verfasserin aut A. Goldschmidt verfasserin aut J. J. Gómez-Cadenas verfasserin aut R. González verfasserin aut D. González-Díaz verfasserin aut S. Gosh verfasserin aut R. Guenette verfasserin aut R. M. Gutiérrez verfasserin aut J. Haefner verfasserin aut K. Hafidi verfasserin aut J. Hauptman verfasserin aut C. A. O. Henriques verfasserin aut J. A. Hernando Morata verfasserin aut P. Herrero verfasserin aut V. Herrero verfasserin aut J. Ho verfasserin aut B. J. P. Jones verfasserin aut M. Kekic verfasserin aut L. Labarga verfasserin aut A. Laing verfasserin aut P. Lebrun verfasserin aut N. López-March verfasserin aut M. Losada verfasserin aut R. D. P. Mano verfasserin aut J. Martín-Albo verfasserin aut A. Martínez verfasserin aut M. Martínez-Vara verfasserin aut G. Martínez-Lema verfasserin aut A. D. McDonald verfasserin aut Z.-E. Meziani verfasserin aut F. Monrabal verfasserin aut C. M. B. Monteiro verfasserin aut F. J. Mora verfasserin aut J. Muñoz Vidal verfasserin aut C. Newhouse verfasserin aut P. Novella verfasserin aut D. R. Nygren verfasserin aut E. Oblak verfasserin aut M. Odriozola-Gimeno verfasserin aut B. Palmeiro verfasserin aut A. Para verfasserin aut J. Pérez verfasserin aut M. Querol verfasserin aut J. Renner verfasserin aut L. Ripoll verfasserin aut I. Rivilla verfasserin aut Y. Rodríguez García verfasserin aut J. Rodríguez verfasserin aut C. Rogero verfasserin aut L. Rogers verfasserin aut B. Romeo verfasserin aut C. Romo-Luque verfasserin aut F. P. Santos verfasserin aut J. M. F. dos Santos verfasserin aut M. Sorel verfasserin aut C. Stanford verfasserin aut J. M. R. Teixeira verfasserin aut P. Thapa verfasserin aut J. F. Toledo verfasserin aut J. Torrent verfasserin aut A. Usón verfasserin aut J. F. C. A. Veloso verfasserin aut T. T. Vuong verfasserin aut R. Webb verfasserin aut J. T. White verfasserin aut K. Woodruff verfasserin aut N. Yahlali verfasserin aut In Journal of High Energy Physics SpringerOpen, 2016 (2021), 7, Seite 38 (DE-627)320910571 (DE-600)2027350-2 10298479 nnns year:2021 number:7 pages:38 https://doi.org/10.1007/JHEP07(2021)146 kostenfrei https://doaj.org/article/a0e7bdf283c34fe29389fea50da0241c kostenfrei https://doi.org/10.1007/JHEP07(2021)146 kostenfrei https://doaj.org/toc/1029-8479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2021 7 38 |
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The NEXT collaboration @@aut@@ A. Simón @@aut@@ Y. Ifergan @@aut@@ A. B. Redwine @@aut@@ R. Weiss-Babai @@aut@@ L. Arazi @@aut@@ C. Adams @@aut@@ H. Almazán @@aut@@ V. Álvarez @@aut@@ B. Aparicio @@aut@@ A. I. Aranburu @@aut@@ I. J. Arnquist @@aut@@ C. D. R Azevedo @@aut@@ K. Bailey @@aut@@ F. Ballester @@aut@@ J. M. Benlloch-Rodríguez @@aut@@ F. I. G. M. Borges @@aut@@ N. Byrnes @@aut@@ S. Cárcel @@aut@@ J. V. Carrión @@aut@@ S. Cebrián @@aut@@ E. Church @@aut@@ C. A. N. Conde @@aut@@ T. Contreras @@aut@@ F. P. Cossío @@aut@@ A. A. Denisenko @@aut@@ G. Díaz @@aut@@ J. Díaz @@aut@@ J. Escada @@aut@@ R. Esteve @@aut@@ R. Felkai @@aut@@ L. M. P. Fernandes @@aut@@ P. Ferrario @@aut@@ A. L. Ferreira @@aut@@ F. Foss @@aut@@ E. D. C. Freitas @@aut@@ Z. Freixa @@aut@@ J. Generowicz @@aut@@ A. Goldschmidt @@aut@@ J. J. Gómez-Cadenas @@aut@@ R. González @@aut@@ D. González-Díaz @@aut@@ S. Gosh @@aut@@ R. Guenette @@aut@@ R. M. Gutiérrez @@aut@@ J. Haefner @@aut@@ K. Hafidi @@aut@@ J. Hauptman @@aut@@ C. A. O. Henriques @@aut@@ J. A. Hernando Morata @@aut@@ P. Herrero @@aut@@ V. Herrero @@aut@@ J. Ho @@aut@@ B. J. P. Jones @@aut@@ M. Kekic @@aut@@ L. Labarga @@aut@@ A. Laing @@aut@@ P. Lebrun @@aut@@ N. López-March @@aut@@ M. Losada @@aut@@ R. D. P. Mano @@aut@@ J. Martín-Albo @@aut@@ A. Martínez @@aut@@ M. Martínez-Vara @@aut@@ G. Martínez-Lema @@aut@@ A. D. McDonald @@aut@@ Z.-E. Meziani @@aut@@ F. Monrabal @@aut@@ C. M. B. Monteiro @@aut@@ F. J. Mora @@aut@@ J. Muñoz Vidal @@aut@@ C. Newhouse @@aut@@ P. Novella @@aut@@ D. R. Nygren @@aut@@ E. Oblak @@aut@@ M. Odriozola-Gimeno @@aut@@ B. Palmeiro @@aut@@ A. Para @@aut@@ J. Pérez @@aut@@ M. Querol @@aut@@ J. Renner @@aut@@ L. Ripoll @@aut@@ I. Rivilla @@aut@@ Y. Rodríguez García @@aut@@ J. Rodríguez @@aut@@ C. Rogero @@aut@@ L. Rogers @@aut@@ B. Romeo @@aut@@ C. Romo-Luque @@aut@@ F. P. Santos @@aut@@ J. M. F. dos Santos @@aut@@ M. Sorel @@aut@@ C. Stanford @@aut@@ J. M. R. Teixeira @@aut@@ P. Thapa @@aut@@ J. F. Toledo @@aut@@ J. Torrent @@aut@@ A. Usón @@aut@@ J. F. C. A. Veloso @@aut@@ T. T. Vuong @@aut@@ R. Webb @@aut@@ J. T. White @@aut@@ K. Woodruff @@aut@@ N. Yahlali @@aut@@ |
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The NEXT collaboration A. Simón Y. Ifergan A. B. Redwine R. Weiss-Babai L. Arazi C. Adams H. Almazán V. Álvarez B. Aparicio A. I. Aranburu I. J. Arnquist C. D. R Azevedo K. Bailey F. Ballester J. M. Benlloch-Rodríguez F. I. G. M. Borges N. Byrnes S. Cárcel J. V. Carrión S. Cebrián E. Church C. A. N. Conde T. Contreras F. P. Cossío A. A. Denisenko G. Díaz J. Díaz J. Escada R. Esteve R. Felkai L. M. P. Fernandes P. Ferrario A. L. Ferreira F. Foss E. D. C. Freitas Z. Freixa J. Generowicz A. Goldschmidt J. J. Gómez-Cadenas R. González D. González-Díaz S. Gosh R. Guenette R. M. Gutiérrez J. Haefner K. Hafidi J. Hauptman C. A. O. Henriques J. A. Hernando Morata P. Herrero V. Herrero J. Ho B. J. P. Jones M. Kekic L. Labarga A. Laing P. Lebrun N. López-March M. Losada R. D. P. Mano J. Martín-Albo A. Martínez M. Martínez-Vara G. Martínez-Lema A. D. McDonald Z.-E. Meziani F. Monrabal C. M. B. Monteiro F. J. Mora J. Muñoz Vidal C. Newhouse P. Novella D. R. Nygren E. Oblak M. Odriozola-Gimeno B. Palmeiro A. Para J. Pérez M. Querol J. Renner L. Ripoll I. Rivilla Y. Rodríguez García J. Rodríguez C. Rogero L. Rogers B. Romeo C. Romo-Luque F. P. Santos J. M. F. dos Santos M. Sorel C. Stanford J. M. R. Teixeira P. Thapa J. F. Toledo J. Torrent A. Usón J. F. C. A. Veloso T. T. Vuong R. Webb J. T. White K. Woodruff N. Yahlali |
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Boosting background suppression in the NEXT experiment through Richardson-Lucy deconvolution |
| abstract |
Abstract 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. |
| abstractGer |
Abstract 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. |
| abstract_unstemmed |
Abstract 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. |
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Boosting background suppression in the NEXT experiment through Richardson-Lucy deconvolution |
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https://doi.org/10.1007/JHEP07(2021)146 https://doaj.org/article/a0e7bdf283c34fe29389fea50da0241c https://doaj.org/toc/1029-8479 |
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A. Simón Y. Ifergan A. B. Redwine R. Weiss-Babai L. Arazi C. Adams H. Almazán V. Álvarez B. Aparicio A. I. Aranburu I. J. Arnquist C. D. R Azevedo K. Bailey F. Ballester J. M. Benlloch-Rodríguez F. I. G. M. Borges N. Byrnes S. Cárcel J. V. Carrión S. Cebrián E. Church C. A. N. Conde T. Contreras F. P. Cossío A. A. Denisenko G. Díaz J. Díaz J. Escada R. Esteve R. Felkai L. M. P. Fernandes P. Ferrario A. L. Ferreira F. Foss E. D. C. Freitas Z. Freixa J. Generowicz A. Goldschmidt J. J. Gómez-Cadenas R. González D. González-Díaz S. Gosh R. Guenette R. M. Gutiérrez J. Haefner K. Hafidi J. Hauptman C. A. O. Henriques J. A. Hernando Morata P. Herrero V. Herrero J. Ho B. J. P. Jones M. Kekic L. Labarga A. Laing P. Lebrun N. López-March M. Losada R. D. P. Mano J. Martín-Albo A. Martínez M. Martínez-Vara G. Martínez-Lema A. D. McDonald Z.-E. Meziani F. Monrabal C. M. B. Monteiro F. J. Mora J. Muñoz Vidal C. Newhouse P. Novella D. R. Nygren E. Oblak M. Odriozola-Gimeno B. Palmeiro A. Para J. Pérez M. Querol J. Renner L. Ripoll I. Rivilla Y. Rodríguez García J. Rodríguez C. Rogero L. Rogers B. Romeo C. Romo-Luque F. P. Santos J. M. F. dos Santos M. Sorel C. Stanford J. M. R. Teixeira P. Thapa J. F. Toledo J. Torrent A. Usón J. F. C. A. Veloso T. T. Vuong R. Webb J. T. White K. Woodruff N. Yahlali |
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