Prediction of fast neutron spectra with a spherical TEPC using a machine-learning algorithm-Reference-Cited by-同舟云学术

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Prediction of fast neutron spectra with a spherical TEPC using a machine-learning algorithm

Published:2023-05 Issue: Volume:1050 Page:168139
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Antoni Rodolphe,Allinei Pierre-Guy^ORCID,Bourgois Laurent

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference21 articles.

1. Unfolding the neutron spectrum of a NE213 scintillator using artificial neural networks;Sharghi Ido;Appl Radiat Isot.,2009

2. Neutron spectrometry using artificial neural networks;Vega-Carrillo;Radiat. Meas.,2006

3. Evaluation of a neutron spectrum from bonner spheres measurements using a Bayesian parameter estimation combined with the traditional unfolding methods;Mazrou;Radiat. Phys. Chem.,2018

4. ICRU report 63, nuclear data for neutron and proton radiotherapy and for radiation protection – ICRU,2023

5. Predictive model for H*(10) derived from micro-dosimetric quantities with a TEPC detector, for neutron spectra with a mean energy from 50 keV to 14 MeV;Antoni;Nucl. Instrum. Methods Phys. Res. A,2021

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