Neutron spectroscopy with TENIS using an artificial neural network; Applied Radiation and Isotopes; Vol. 201

Neutron spectroscopy with TENIS using an artificial neural network; Applied Radiation and Isotopes; Vol. 201

Dades bibliogràfiques
Parent link:	Applied Radiation and Isotopes.— .— Amsterdam: Elsevier Science Publishing Company Inc. Vol. 201.— 2023.— Article number 111035, 8 p.
Altres autors:	Bagherzadeh-Atashchi S. Somayyeh, Ghal-Eh N. Nima, Rahmani F. Faezeh, Izadi-Najafabadi R. Reza, Bedenko S. V. Sergey Vladimirovich
Sumari:	Title screen In this research, a ThErmal Neutron Imaging System (TENIS) consisting of two perpendicular sets of plastic scintillator arrays for boron neutron capture therapy (BNCT) application has been investigated in a completely different approach for neutron energy spectrum unfolding. TENIS provides a thermal neutron map based on the detection of 2.22 MeV gamma-rays resulting from 1H(nth, γ)2D reactions, but in the present study, the 70-pixel thermal neutron images have been used as input data for unfolding the energy spectrum of incident neutrons. Having generated the thermal neutron images for 109 incident mono-energetic neutrons, a 70 × 109 response matrix has been generated using the MCNPX2.6 code for feeding into the artificial neural network tools of MATLAB. The errors of the final results for mono-energetic neutron sources are less than 10% and the root mean square error (RMSE) for the unfolded neutron spectrum of 252Cf is about 0.01. The agreement of the unfolding results for mono-energetic and 252Cf neutron sources confirms the performance of the TENIS system as a neutron spectrometer Текстовый файл AM_Agreement
Idioma:	anglès
Publicat:	2023
Matèries:	электронный ресурс труды учёных ТПУ Plastic scintillator TENIS Neutron spectrum unfolding Artificial neural network BNCT
Accés en línia:	https://doi.org/10.1016/j.apradiso.2023.111035
Format:	Electrònic Capítol de llibre
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=680248

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