Neutron spectrometry using artificial neural networks for a bonner sphere spectrometer with a ³He detector

Neutron spectra unfolding and dose equivalent calculation are complicated tasks in radiation protection, are highly dependent of the neutron energy, and a precise knowledge on neutron spectrometry is essential for all dosimetry-related studies as well as many nuclear physics experiments. In previous...

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Detalles Bibliográficos
Autores: J.M. Ortíz-Rodríguez, M.R. Martínez-Blanco, H.R. Vega-Carrillo, E. Gallego Díaz, A. Lorente Fillol, R. Méndez Villafañe, J.M. Los Arcos Merino, J.E. Guerrero Araque
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2011
País:México
Institución:Universidad Autónoma de Zacatecas
Repositorio:Redalyc-UAZ
OAI Identifier:oai:redalyc.org:57019379015
Acceso en línea:https://www.redalyc.org/articulo.oa?id=57019379015
Access Level:acceso abierto
Palabra clave:Física, Astronomía y Matemáticas
neural networks
neutron dosimetry
Neutron spectrometry
Descripción
Sumario:Neutron spectra unfolding and dose equivalent calculation are complicated tasks in radiation protection, are highly dependent of the neutron energy, and a precise knowledge on neutron spectrometry is essential for all dosimetry-related studies as well as many nuclear physics experiments. In previous works have been reported neutron spectrometry and dosimetry results, by using the ANN technology as alternative solution, starting from the count rates of a Bonner spheres system with a 6LiI(Eu) thermal neutrons detector, 7 polyethylene spheres and the UTA4 response matrix with 31 energy bins. In this work, an ANN was designed and optimized by using the RDANN methodology for the Bonner spheres system used at CIEMAT Spain, which is composed of a ³He neutron detector, 12 moderator spheres and a response matrix for 72 energy bins. For the ANN design process a neutrons spectra catalogue compiled by the IAEA was used. From this compilation, the neutrons spectra were converted from lethargy to energy spectra. Then, the resulting energy ?uence spectra were re-binned by using the MCNP code to the corresponding energy bins of the ³He response matrix before mentioned. With the response matrix and the re-binned spectra the counts rate of the Bonner spheres system were calculated and the resulting re-binned neutrons spectra and calculated counts rate were used as the ANN training data set.