Photoelectric event discrimination with neural networks in metascintillators, beyond energy resolution concepts
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2023
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IEEE NUCLEAR SCIENCE SYMPOSIUM, MEDICAL IMAGING CONFERENCE AND INTERNATIONAL SYMPOSIUM ON ROOM-TEMPERATURE SEMICONDUCTOR DETECTORS
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Resumo
Energy resolution is a handy, dimensionless metric presenting the quality of energy conversions in
a radiation detector. In novel systems such as the metascintillator-based ones, with variable light
yield per event, this concept is inapplicable.
In this work, we present the theoretical concept and simulation-based neural network application
on the reconstruction of event interaction. We show the ability of neural networks to significantly
improve the classification of event interaction as photoelectric or scattered, when more than two
independent information channels (e.g. multiple SiPMs) are used. In this pilot work, we show the
application of this concept for a 3x25.1x24 mm3 semi-monolithic design using BGO-EJ232 and
LYSO:Ce-EJ232Q as meta-scintillators. Regardless of the difference in light yield between the
constituting components, ranging from the same to one order of magnitude, the neural network
achieves above 95% precision in identifying photoelectric interactions. This is a significant
improvement to the standard, energy spectrum based approach.
Como referenciar
KONSTANTINOU, G.; ZHANG, L.; BONIFACIO, D.A.B.; LOIGNON-HOULE, F.; GONZALEZ, A.J.; LECOQ, P. Photoelectric event discrimination with neural networks in metascintillators, beyond energy resolution concepts. In: IEEE NUCLEAR SCIENCE SYMPOSIUM, MEDICAL IMAGING CONFERENCE AND INTERNATIONAL SYMPOSIUM ON ROOM-TEMPERATURE SEMICONDUCTOR DETECTORS, November 4-11, 2023, Vancouver, Canada. Abstract... Piscataway, Nova Jersey: IEEE, 2023. DOI: 10.1109/NSSMICRTSD49126.2023.10338749. Disponível em: https://repositorio.ipen.br/handle/123456789/47919. Acesso em: 20 Mar 2026.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.