Computational Approaches on Photon-Attenuation and Coincidence-summing Corrections for the detection of gamma-emitting radionuclides IN foods
Creators
Description
Source-based calibration methods used for photon attenuation and coincidence summing corrections are time consuming and require multiple certified standards that match sample geometry with varying densities. Three programs which are capable of simulating a variety of sample geometries, matrix compositions, and sample densities have been examined as alternatives. LabSOCS, ANGLE 3 and GESPECOR are effective at generating efficiency curves for food matrices with a range with different densities. The curves generated have been successfully used to determine activity in food samples. - Highlights: • Computation of efficiencies by using Monte Carlo methods. • Density corrections and coincidence summing can be effectively accounted for. • Accurate measurements of radioactive food samples for emergency response scenarios.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.apradiso.2017.02.034Additional details
Identifiers
- DOI
- 10.1016/j.apradiso.2017.02.034;
- PII
- S0969-8043(16)30553-X;
Publishing Information
- Journal Title
- Applied Radiation and Isotopes
- Journal Volume
- 126
- Journal Page Range
- p. 134-137
- ISSN
- 0969-8043
- CODEN
- ARISEF
Conference
- Title
- 7. international conference on radionuclide metrology - Low-level radioactivity measurement techniques
- Acronym
- ICRM-LLRMT'16
- Dates
- 26-30 Sep 2016
- Place
- Seattle, WA (United States)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 49080257
- Subject category
- S07: ISOTOPES AND RADIATION SOURCES;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CORRECTIONS; DENSITY; EFFICIENCY; FOOD; GAMMA SPECTROSCOPY; MATRICES; MONTE CARLO METHOD
- Descriptors DEC
- CALCULATION METHODS; PHYSICAL PROPERTIES; SPECTROSCOPY
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.