Haefner, J.; Navarro, K.; Guenette, R.; Jones, B.; Tripathi, A.; Adams, C.; Almazán, H.... (2024). Demonstration of event position reconstruction based on diffusion in the NEXT-white detector. The European Physical Journal C. 84(5). https://doi.org/10.1140/epjc/s10052-024-12865-9
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/209242
Título:
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Demonstration of event position reconstruction based on diffusion in the NEXT-white detector
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Autor:
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Haefner, J.
Navarro, K.E.
Guenette, R.
Jones, B.J.P.
Tripathi, Animesh
Adams, C.
Almazán, H.
Álvarez-Puerta, Vicente
Aparicio, B.
Aranburu, A. I.
Arazi, L.
Arnquist, I.J.
Auria-Luna, F
Ayet, S.
Azevedo, C.D.R.
Ballester, F.
Esteve, R.
Mora, F.J.
Rodríguez, J.
Herrero, V.
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Entidad UPV:
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Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
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Fecha difusión:
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Resumen:
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[EN] Noble element time projection chambers are a leading technology for rare event detection in physics, such as for dark matter and neutrinoless double beta decay searches. Time projection chambers typically assign event ...[+]
[EN] Noble element time projection chambers are a leading technology for rare event detection in physics, such as for dark matter and neutrinoless double beta decay searches. Time projection chambers typically assign event position in the drift direction using the relative timing of prompt scintillation and delayed charge collection signals, allowing for reconstruction of an absolute position in the drift direction. In this paper, alternate methods for assigning event drift distance via quantification of electron diffusion in a pure high pressure xenon gas time projection chamber are explored. Data from the NEXT-White detector demonstrate the ability to achieve good position assignment accuracy for both high- and low-energy events. Using point-like energy deposits from Kr-83m calibration electron captures (E similar to 45 keV), the position of origin of low-energy events is determined to 2 cm precision with bias <1 mm. A convolutional neural network approach is then used to quantify diffusion for longer tracks (E >= 1.5 MeV), from radiogenic electrons, yielding a precision of 3 cm on the event barycenter. The precision achieved with these methods indicates the feasibility energy calibrations of better than 1% FWHM at Q(beta beta) in pure xenon, as well as the potential for event fiducialization in large future detectors using an alternate method that does not rely on primary scintillation.
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Palabras clave:
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NEXT-white detector
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Event position reconstruction
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Neutrinoless
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Derechos de uso:
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Reconocimiento (by)
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Fuente:
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The European Physical Journal C. (issn:
1434-6044
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DOI:
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10.1140/epjc/s10052-024-12865-9
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Editorial:
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Springer-Verlag
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Versión del editor:
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https://doi.org/10.1140/epjc/s10052-024-12865-9
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Código del Proyecto:
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-125475NB-C51/ES/COORDINATION DEL PROYECTO NEXT-100 Y CONSTRUCCION DEL PROTOTIPO NEXT-HD/
...[+]
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-125475NB-C51/ES/COORDINATION DEL PROYECTO NEXT-100 Y CONSTRUCCION DEL PROTOTIPO NEXT-HD/
info:eu-repo/grantAgreement/EC/H2020/951281/EU/A background-free experiment to discover the nature of neutrinos based on single Barium Atom Light Detection/
info:eu-repo/grantAgreement/EC/H2020/957202/EU/HINDERING DENDRITE GROWTH IN LITHIUM METAL BATTERIES/
info:eu-repo/grantAgreement/NSF//NSF CHE 2004111/
info:eu-repo/grantAgreement/DOE//DE-AC02-06CH11357/
info:eu-repo/grantAgreement/DOE//DE-AC02-07CH11359/
info:eu-repo/grantAgreement/DOE//DE-FG02-13ER42020/
info:eu-repo/grantAgreement/DOE//DE-SC0019054/
info:eu-repo/grantAgreement/DOE//DE-SC0019223/
info:eu-repo/grantAgreement/FCT//UID%2FFIS%2F04559%2F2020/
info:eu-repo/grantAgreement/GVA//PROMETEO%2F2021%2F087 /
info:eu-repo/grantAgreement/GVA//CIDEGENT%2F2019%2F049/
info:eu-repo/grantAgreement/ISF//1223%2F21/
info:eu-repo/grantAgreement/MINECO//CEX2018-000867-S/
info:eu-repo/grantAgreement/Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona//LCF%2FBQ%2FPI22%2F11910019/
info:eu-repo/grantAgreement/Welch Foundation//Y-2031-20200401/
info:eu-repo/grantAgreement/PAZY//310%2F22/
info:eu-repo/grantAgreement/PAZY//315%2F19/
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Agradecimientos:
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The NEXT Collaboration acknowledges support from the following agencies and institutions: the European Research Council (ERC) under Grant Agreement No. 951281-BOLD; the European Union's Framework Programme for Research and ...[+]
The NEXT Collaboration acknowledges support from the following agencies and institutions: the European Research Council (ERC) under Grant Agreement No. 951281-BOLD; the European Union's Framework Programme for Research and Innovation Horizon 2020 (2014-2020) under Grant Agreement No. 957202-HIDDEN; the MCIN/AEI of Spain and ERDF A way of making Europe under grants PID2021-125475NB and the Severo Ochoa Program grant CEX2018-000867-S; the Generalitat Valenciana of Spain under grants PROMETEO/2021/087 and CIDEGENT/2019/049; the Department of Education of the Basque Government of Spain under the predoctoral training program non-doctoral research personnel; the Spanish la Caixa Foundation (ID 100010434) under fellowship code LCF/BQ/PI22/11910019; the Portuguese FCT under project UID/FIS/04559/2020 to fund the activities of LIBPhys-UC; the Israel Science Foundation (ISF) under grant 1223/21; the Pazy Foundation (Israel) under grants 310/22, 315/19 and 465; the US Department of Energy under contracts number DE-AC02-06CH11357 (Argonne National Laboratory), DE-AC02-07CH11359 (Fermi National Accelerator Laboratory), DE-FG02-13ER42020 (Texas A &M), DE-SC0019054 (Texas Arlington) and DE-SC0019223 (Texas Arlington); the US National Science Foundation under award number NSF CHE 2004111; the Robert A Welch Foundation under award number Y-2031-20200401.
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Tipo:
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Artículo
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