A gamma-ray identification algorithm based on fisher linear discriminant analysis

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dc.contributor.authorBoardman, DAen_AU
dc.contributor.authorFlynn, Aen_AU
dc.date.accessioned2015-09-28T05:38:25Zen_AU
dc.date.available2015-09-28T05:38:25Zen_AU
dc.date.issued2015-12-25en_AU
dc.date.statistics2015-09-15en_AU
dc.description.abstractAn algorithm for gamma-ray identification applications has been developed and evaluated. The algorithm is based on a Fisher Linear Discriminant Analysis (FLDA) technique that generates loading coefficients that maximize the separation of a particular radionuclide from all the other radionuclides in a training library. Separate experimental data sets were obtained for the algorithms training data and for the performance evaluation. The algorithm was evaluated against a range of radionuclides and acquisitions times. An inverse square root relationship between the cluster standard deviation and its gross mean counts enabled the production of an adaptable threshold. The inverse square relationship between the Mahalanobis distance metric and the Cs-137 standoff distance demonstrated a means to quantify the measured number of counts. The FLDA identification performance, for a number of threat radionuclides (including special nuclear materials), exceeded that of a commercially available peak search algorithm. The high sensitivity and specificity, of the FLDA algorithm, was maintained in low count situations. The poor performance for some radionuclides was attributed to the measured number of counts being below the minimal detectable limit. The FLDA algorithm has the potential to be used in gamma-ray identification applications and, in particular, count starved situations. © 2012, Institute of Electrical and Electronics Engineers (IEEE).en_AU
dc.identifier.citationBoardman, D., & Flynn, A. (2013). A Gamma-Ray Identification Algorithm Based on Fisher Linear Discriminant Analysis. IEEE Transactions on Nuclear Science, 60(1), 270-277. doi:10.1109/tns.2012.2226472en_AU
dc.identifier.govdoc6069en_AU
dc.identifier.issn018-9499en_AU
dc.identifier.issue1en_AU
dc.identifier.journaltitleIEEE Transactions on Nuclear Scienceen_AU
dc.identifier.pagination270-277en_AU
dc.identifier.urihttp://dx.doi.org/10.1109/tns.2012.2226472en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/6224en_AU
dc.identifier.volume60en_AU
dc.language.isoenen_AU
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_AU
dc.subjectSpectroscopyen_AU
dc.subjectRadioisotopesen_AU
dc.subjectExperimental dataen_AU
dc.subjectAlgorithmsen_AU
dc.subjectIsotopesen_AU
dc.subjectEnergyen_AU
dc.titleA gamma-ray identification algorithm based on fisher linear discriminant analysisen_AU
dc.typeJournal Articleen_AU
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