Title : ( Neutron spectroscopy with TENIS using an artificial neural network )
Authors: somayeh bagherzadeh atashchi , Nima Ghal-Eh , Faezeh Rahmani , Reza Izadi Najafabadi , Sergey Bedenko ,
Full TextAbstract
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.
Keywords
Plastic scintillator; TENIS; Neutron spectrum unfolding; Artificial neural network; BNCT;
@article{paperid:1095798,
author = {Bagherzadeh Atashchi, Somayeh and Ghal-Eh, Nima and Faezeh Rahmani and Izadi Najafabadi, Reza and Sergey Bedenko},
title = {Neutron spectroscopy with TENIS using an artificial neural network},
journal = {Applied Radiation and Isotopes},
year = {2023},
volume = {201},
month = {November},
issn = {0969-8043},
keywords = {Plastic scintillator; TENIS; Neutron spectrum unfolding; Artificial neural network; BNCT;},
}
%0 Journal Article
%T Neutron spectroscopy with TENIS using an artificial neural network
%A Bagherzadeh Atashchi, Somayeh
%A Ghal-Eh, Nima
%A Faezeh Rahmani
%A Izadi Najafabadi, Reza
%A Sergey Bedenko
%J Applied Radiation and Isotopes
%@ 0969-8043
%D 2023
