Open AccessGeneralised gamma spectrometry simulator for problems in nuclide identification
Author(s) -
Anthony N. Turner,
C. Wheldon,
Mark R. Gilbert,
L.W. Packer,
Jonathan D. Burns,
Tzany Kokalova Wheldon,
M. Freer
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1643/1/012211
Subject(s) - nuclide , identification (biology) , computer science , focus (optics) , range (aeronautics) , simulation , engineering , physics , nuclear physics , aerospace engineering , botany , optics , biology
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.