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 language | English |
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Article number | 012211 |
Journal | Journal of Physics: Conference Series |
Volume | 1643 |
DOIs | |
Publication status | Published - 23 Dec 2020 |
Event | 27th International Nuclear Physics Conference (INPC2019) - Glasgow, United Kingdom Duration: 29 Jul 2019 → 2 Aug 2019 Conference number: 27th |