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Neutron spectrum unfolding using two architectures of convolutional neural networks

We deploy artificial neural networks to unfold neutron spectra from measured energy-integrated quantities. These neutron spectra represent an important parameter allowing to compute the absorbed dose and the kerma to serve radiation protection in addition to nuclear safety. The built architectures a...

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Bibliografische Detailangaben
Hauptverfasser: Maha Bouhadida, Asmae Mazzi, Mariya Brovchenko, Thibaut Vinchon, Mokhtar Z. Alaya, Wilfried Monange, François Trompier
Format: Artigo
Sprache:Inglês
Veröffentlicht: Elsevier 2023-06-01
Schriftenreihe:Nuclear Engineering and Technology
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Online-Zugang:http://www.sciencedirect.com/science/article/pii/S173857332300133X
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