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A tomographic spatial-unfolding method for Compton gamma imaging measurements.
Murtha, N J; Saull, P R B; Sinclair, L E; MacLeod, A M L; McCann, A.
Afiliação
  • Murtha NJ; Department of Physics, Carleton University, Ottawa, Ontario, Canada; Canadian Hazards Information Service, Natural Resources Canada, Ottawa, Ontario, Canada; Ionizing Radiation Standards, Metrology Research Centre, National Research Council, Canada; Department of Medical Physics, Tom Baker Cancer Ce
  • Saull PRB; Department of Physics, Carleton University, Ottawa, Ontario, Canada; Ionizing Radiation Standards, Metrology Research Centre, National Research Council, Canada. Electronic address: patrick.saull@nrc-cnrc.gc.ca.
  • Sinclair LE; Department of Physics, Carleton University, Ottawa, Ontario, Canada; Department of Earth Sciences, Carleton University, Ottawa, Ontario, Canada; Canadian Hazards Information Service, Natural Resources Canada, Ottawa, Ontario, Canada.
  • MacLeod AML; Ionizing Radiation Standards, Metrology Research Centre, National Research Council, Canada.
  • McCann A; Canadian Hazards Information Service, Natural Resources Canada, Ottawa, Ontario, Canada.
J Environ Radioact ; 278: 107491, 2024 Sep.
Article em En | MEDLINE | ID: mdl-39003964
ABSTRACT
An advanced spatial-unfolding technique capable of reconstructing the activity distribution within an exclusion zone from Compton gamma imager measurements taken outside of it is introduced. Although the method is generally applicable to extended sources, we demonstrate it here on a calibrated Cs-137 point source through Monte Carlo simulation studies as well as with measurements made using a Silicon Compton Telescope for Safety and Security (SCoTSS) gamma imager. For synthetic data the method accurately reconstructs the total activity contained within the mapped zone of interest, even when the size of the basis elements used to reconstruct the activity distribution is larger than the source itself. For experimental data, the method reliably located the source but underestimated its activity by up to 17%. This is accurate enough for real-world security applications. The underestimation is likely due to effects not yet included in the simulated response of the detector. The method has widespread applicability in the radiological/nuclear safety and security field, particularly for scenarios in which a threat material or contaminated area lies within a no-entry or no-fly zone.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento de Radiação / Método de Monte Carlo Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento de Radiação / Método de Monte Carlo Idioma: En Ano de publicação: 2024 Tipo de documento: Article