Machine-learning techniques applied to three-year exposure of ANAIS–112

Coarasa, I. (Universidad de Zaragoza) ; Apilluelo, J. ; Amaré, J. (Universidad de Zaragoza) ; Cebrián, S. (Universidad de Zaragoza) ; Cintas, D. (Universidad de Zaragoza) ; García, E. (Universidad de Zaragoza) ; Martínez, M. (Universidad de Zaragoza) ; Oliván, M. A. ; Ortigoza, Y. (Universidad de Zaragoza) ; Ortiz de Solórzano, A. (Universidad de Zaragoza) ; Puimedón, J. (Universidad de Zaragoza) ; Salinas, A. ; Sarsa, M. L. (Universidad de Zaragoza) ; Villar, P. (Universidad de Zaragoza)
Machine-learning techniques applied to three-year exposure of ANAIS–112
Resumen: ANAIS is a direct dark matter detection experiment aiming at the confirmation or refutation of the DAMA/LIBRA positive annual modulation signal in the low energy detection rate, using the same target and technique. ANAIS–112, located at the Canfranc Underground Laboratory in Spain, is operating an array of 3×3 ultrapure NaI(Tl) crystals with a total mass of 112.5 kg since August 2017. The trigger rate in the region of interest (1-6 keV) is dominated by non-bulk scintillation events. In order to discriminate these noise events from bulk scintillation events, robust filtering protocols have been developed. Although this filtering procedure works very well above 2 keV, the measured rate from 1 to 2 keV is about 50% higher than expected according to our background model, and we cannot discard non-bulk scintillation events as responsible of that excess. In order to improve the rejection of noise events, a Boosted Decision Tree has been developed and applied. With this new PMT-related noise rejection algorithm, the ANAIS–112 background between 1 and 2 keV is reduced by almost 30%, leading to an increase in sensitivity to the annual modulation signal. The reanalysis of the three years of ANAIS–112 data with this technique is also presented.
Idioma: Inglés
DOI: 10.1088/1742-6596/2156/1/012036
Año: 2022
Publicado en: Journal of Physics: Conference Series 2156 (2022), 012036[5 pp.]
ISSN: 1742-6588

Factor impacto SCIMAGO: 0.183 - Physics and Astronomy (miscellaneous)

Financiación: info:eu-repo/grantAgreement/ES/DGA/E27-20R
Financiación: info:eu-repo/grantAgreement/ES/MICINN/CPAN-CSD2007-00042
Financiación: info:eu-repo/grantAgreement/ES/MICINN/FPI-CSD2009-00064
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2019-104374GB-I00
Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER/FPA2017-83133-P
Financiación: info:eu-repo/grantAgreement/ES/MINECO/Spanish Red Consolider MultiDark FPA2017-90566-REDC
Tipo y forma: Article (Published version)
Área (Departamento): Área Técnica. Lab. y Talleres (Dpto. Física Teórica)
Área (Departamento): Área Óptica (Dpto. Física Aplicada)
Área (Departamento): Área Física Atóm.Molec.y Nucl. (Dpto. Física Teórica)


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 Record created 2022-08-31, last modified 2023-07-06


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