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Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment

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Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment

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Kekic, M.; Adams, C.; Woodruff, K.; Renner, J.; Church, E.; Del Tutto, M.; Hernando Morata, JA.... (2021). Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment. Journal of High Energy Physics (Online). (1):1-22. https://doi.org/10.1007/JHEP01(2021)189

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Title: Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment
Author: Kekic, M. Adams, C. Woodruff, K. Renner, J. Church, E. Del Tutto, M. Hernando Morata, J. A. Gomez-Cadenas, J. J. Álvarez-Puerta, Vicente Arazi, L. Arnquist, I.J. Azevedo, C. D. R. Bailey, K. Ballester Merelo, Francisco José Benlloch-Rodriguez, J. M. Esteve Bosch, Raul Herrero Bosch, Vicente Mora Mas, Francisco José Rodriguez-Samaniego, Javier Toledo Alarcón, José Francisco
UPV Unit: Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
[EN] Convolutional neural networks (CNNs) are widely used state-of-the-art computer vision tools that are becoming increasingly popular in high-energy physics. In this paper, we attempt to understand the potential of CNNs ...[+]
Subjects: Dark Matter and Double Beta Decay (experiments)
Copyrigths: Reconocimiento (by)
Source:
Journal of High Energy Physics (Online). (eissn: 1029-8479 )
DOI: 10.1007/JHEP01(2021)189
Publisher:
Springer-Verlag
Publisher version: https://doi.org/10.1007/JHEP01(2021)189
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095979-B-C44/ES/CONSTRUCCION Y OPERACION DEL DETECTOR NEXT-100/
...[+]
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095979-B-C44/ES/CONSTRUCCION Y OPERACION DEL DETECTOR NEXT-100/
info:eu-repo/grantAgreement/DOE//DE-FG02-13ER42020/
info:eu-repo/grantAgreement/EC/FP7/339787/EU/
info:eu-repo/grantAgreement/GVA//IDIFEDER%2F2018%2F048/
info:eu-repo/grantAgreement/EC/H2020/674896/EU/
info:eu-repo/grantAgreement/FCT//UID%2FFIS%2F04559%2F2020/
info:eu-repo/grantAgreement/EC/H2020/690575/EU/
info:eu-repo/grantAgreement/DOE//DE-AC02-06CH11357/
info:eu-repo/grantAgreement/EC/H2020/740055/EU/
info:eu-repo/grantAgreement/DOE//DE-AC02-07CH11359/
info:eu-repo/grantAgreement/MINECO//FIS2014-53371-C4-1-R/ES/CONSTRUCCION OPERACION E I+D+I PARA EL EXPERIMENTO NEXT EN EL LSC./
info:eu-repo/grantAgreement/DOE//DE-SC0019223/
info:eu-repo/grantAgreement/MINECO//FIS2014-53371-C4-4-R/ES/CONSTRUCCION, VALIDACION Y OPERACION DE LA ELECTRONICA DEL EXPERIMENTO NEXT/
info:eu-repo/grantAgreement/DOE//DE-SC0019054/
info:eu-repo/grantAgreement/MINECO//SEV-2014-0398/ES/INSTITUTO DE FISICA CORPUSCULAR (IFIC)/
info:eu-repo/grantAgreement/MCIU//MDM-2016-0692//Programa Maria de Maetzu/
info:eu-repo/grantAgreement/GVA//PROMETEO%2F2016%2F120/
info:eu-repo/grantAgreement/GVA//SEJI%2F2017%2F011/
info:eu-repo/grantAgreement/MINECO//RYC-2015-18820//RYC-2015-18820/
info:eu-repo/grantAgreement/Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona//100010434/
info:eu-repo/grantAgreement/MINECO//CEX2018-000867-S/
info:eu-repo/grantAgreement/Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona//LCF%2FBQ%2FPI19%2F11690012/
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Thanks:
This study used computing resources from Artemisa, co-funded by the European Union through the 2014-2020 FEDER Operative Programme of the Comunitat Valenciana, project DIFEDER/2018/048. This research used resources of the ...[+]
Type: Artículo

References

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