Performance of a fisher linear discriminant analysis gamma-ray identification algorithm
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Date
2013-04-11
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Institute of Electrical and Electronics Engineers (IEEE)
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).
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Keywords
Radioisotopes, Spectroscopy, Algorithms, Dose rates, Radiation detectors, IAEA
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