Title :
An automated isotope identification algorithm using Bayesian statistics
Author :
Stinnett, J. ; Sullivan, C.J.
Author_Institution :
Dept. of Nucl., Plasma, & Radiol. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fDate :
Oct. 27 2013-Nov. 2 2013
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.
Keywords :
Bayes methods; calibration; nuclear materials safeguards; radiation detection; radioactive sources; radioisotopes; shielding; Bayesian statistics; United States; automated isotope identification algorithm; calibration drift; handheld radio-isotope identifiers; nuclear security; radiation shielding; radioactive sources; Calibration; Computational modeling; Data models; Detectors; Isotopes; Libraries; Prediction algorithms;
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-0533-1
DOI :
10.1109/NSSMIC.2013.6829487
