SmartID: a highly accurate physics-based isotope attribution algorithm

M. J. Harrison; G. E. Sjoden; R. Detwiler

doi:10.1117/12.850904

5 May 2010 SmartID: a highly accurate physics-based isotope attribution algorithm

M. J. Harrison, G. E. Sjoden, R. Detwiler

Proceedings Volume 7665, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XI; 76651M (2010) https://doi.org/10.1117/12.850904
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

The spectral post-processing algorithm Advanced Synthetically Enhanced Detector Resolution Algorithm (ASEDRA (patent pending)) has shown to be a powerful tool for deconvolving full energy peaks from scintillation spectrometeracquired gamma-ray spectra, effectively improving obtainable data-synthesized energy resolutions by a factor of four to six times over what is rendered from the detector. An isotope attribution algorithm, SmartID, was developed to augment ASEDRA in order to improve radionuclide identification accuracy. SmartID utilizes a novel, physics-based method of importance weighting the ASEDRA-identified peaks and the emissions of a candidate isotope. This methodology enhances the screening of potential false peaks and prevents isotope mismatches. As a final step, SmartID assigns a physical matching attribution score to each possible isotope match to reflect goodness-of-fit. A test suite of 105 gammaray spectra acquired with a 2"×2" NaI:Tl spectrometer under varying shielding conditions and various single and multisource configurations were recorded for testing the accuracy of ASEDRA+SmartID. The sources utilized in the tests included ¹³³Ba, ¹⁰⁹Cd, ⁵⁷Co, ⁶⁰Co, ¹³⁷Cs, ¹⁵²Eu, ⁵⁴Mn, ²²Na, ²³²Th, natural uranium rods and a PuBe source. Shielding configurations varied widely, ranging from none to more than 2.5cm Pb. Overall, SmartID proved to be more than 95% accurate in attributing the correct isotope(s) to the spectra.

Citation Download Citation

M. J. Harrison, G. E. Sjoden, and R. Detwiler "SmartID: a highly accurate physics-based isotope attribution algorithm", Proc. SPIE 7665, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XI, 76651M (5 May 2010); https://doi.org/10.1117/12.850904

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