Please use this identifier to cite or link to this item: https://apo.ansto.gov.au/dspace/handle/10238/6225
Title: Performance of a fisher linear discriminant analysis gamma-ray identification algorithm
Authors: Boardman, D
Flynn, A
Keywords: Radioisotopes
Spectroscopy
Alogorithms
Dose rates
Radiation detectors
IAEA
Issue Date: 11-Apr-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Boardman, D., & Flynn, A. (2013). Performance of a fisher linear discriminant analysis gamma-ray identification algorithm. IEEE Transactions on Nuclear Science, 60(2), 482-489. doi:10.1109/TNS.2012.2225445
Abstract: The development of a gamma-ray identification algorithm based on a Fisher Linear Discriminant Analysis (FLDA) approach has previously shown high potential in count starved situations. This work uses 48,000 semi-empirical synthetic spectra to evaluate the algorithm performance over a broad range of dose rates and acquisition times. True positive identifications of 100% were typically seen for dose rates ≥ 0.05 μSv/h and acquisition times ≥10 s. For in air and shielded radionuclide spectra, no false alarms were observed for dose rates ≥ 0.01 μSv/h and acquisition times ≥10 s. The single radionuclide identification performance typically exceeded the ANSI 42.34 standard by a factor of 10 for dose rate and a factor of 10 for acquisition time. The evaluated shielded signatures had no detrimental effects to the identification performance. The correct identification of HEU masked by a 0.5 μSv/h 40K or 60Co source could typically be made for a masking ratio of 10:1 for acquisition times ≥ 1 s. For masking with a 0.5 μSv/h 137Cs source, HEU could be identified at 7:1 ratios for times ≥10 s. The excellent results were obtained for a non-optimal identification threshold. Optimization of the threshold would lead to further performance improvements. © 2013, Institute of Electrical and Electronics Engineers (IEEE).
Gov't Doc #: 6070
URI: http://dx.doi.org/10.1109/TNS.2012.2225445
http://apo.ansto.gov.au/dspace/handle/10238/6225
ISSN: 0018-9499
Appears in Collections:Journal Articles

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