An automated isotope identification algorithm using Bayesian statistics

J. Stinnett, Clair Julia Sullivan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Handheld radio-isotope identifiers (RIIDs) are widely used in the United States for nuclear security, but these detectors generally have poor performance due largely to the algorithms used to identify the radioactive sources. We propose a new algorithm using Bayesian statistics that uses peak positions and areas to identify the source while allowing for calibration drift and shielding.

Original languageEnglish (US)
Title of host publication2013 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479905348
DOIs
StatePublished - Jan 1 2013
Event2013 60th IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013 - Seoul, Korea, Republic of
Duration: Oct 27 2013Nov 2 2013

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863

Other

Other2013 60th IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013
CountryKorea, Republic of
CitySeoul
Period10/27/1311/2/13

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Stinnett, J., & Sullivan, C. J. (2013). An automated isotope identification algorithm using Bayesian statistics. In 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013 [6829487] (IEEE Nuclear Science Symposium Conference Record). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2013.6829487