Generalised gamma spectrometry simulator for problems in nuclide identification

Anthony Turner, Carl Wheldon, Mark Gilbert, Lee Packer, Jon Burns, Tzany Kokalova Wheldon, Martin Freer

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Abstract

Improvements in Radio-Isotope IDentification (RIID) algorithms have always been a continuous research focus. However, significant developments in machine learning have recently sparked renewed interest. To provide a rapid development environment for this, a generalised gamma simulator has been built using the GEANT4 toolkit. This enables consideration of a diverse range of radiation sources and shielding scenarios. The simulator currently provides training data for the development of neural network based RIID models.
Original languageEnglish
Article number012211
JournalJournal of Physics: Conference Series
Volume1643
DOIs
Publication statusPublished - 23 Dec 2020
Event27th International Nuclear Physics Conference (INPC2019) - Glasgow, United Kingdom
Duration: 29 Jul 20192 Aug 2019
Conference number: 27th

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