Neutron beam preparation for soil moisture measurements: Nedis-PHITS and artificial neural networks study

Detalles Bibliográficos
Parent link:Applied Radiation and Isotopes
Vol. 172.— 2021.— [109688, 7 p.]
Autor Corporativo: Национальный исследовательский Томский политехнический университет Инженерная школа ядерных технологий Отделение ядерно-топливного цикла
Outros autores: Bedenko S. V. Sergey Vladimirovich, Ghal-Eh N. Nima, Kuskov V. A. Vladislav Andreevich, Vega-Carrillo H. R. Hector Rene, Vlaskin G. N. Gennadiy Nikolaevich
Summary:Title screen
The angular distribution of thermal neutrons scattered from the surface of a soil sample was used to determine soil moisture content. All simulations were performed assuming optimal dimensions of the designed collimator and AmO2-Be neutron source. Moreover, an assembly consisting of five Amersham X.l4 type capsular neutron sources was studied to obtain faster, more accurate data. The results showed promising agreement with previously published data and provided insights into potential applications for the construction of biological shielding of nuclear reactors.
Режим доступа: по договору с организацией-держателем ресурса
Publicado: 2021
Subjects:
Acceso en liña:https://doi.org/10.1016/j.apradiso.2021.109688
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=664654
Descripción
Summary:Title screen
The angular distribution of thermal neutrons scattered from the surface of a soil sample was used to determine soil moisture content. All simulations were performed assuming optimal dimensions of the designed collimator and AmO2-Be neutron source. Moreover, an assembly consisting of five Amersham X.l4 type capsular neutron sources was studied to obtain faster, more accurate data. The results showed promising agreement with previously published data and provided insights into potential applications for the construction of biological shielding of nuclear reactors.
Режим доступа: по договору с организацией-держателем ресурса
DOI:10.1016/j.apradiso.2021.109688