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Title: A Comparison of Simple Algorithms for Gamma-ray Spectrometers in Radioactive Source Search Applications

Journal Article · · Applied Radiation and Isotopes, 66(3):362-371

Large variation in time-dependent ambient gamma-ray radiation challenges the search for radiation sources. A common strategy to reduce the effects of background variation is to raise detection thresholds, but at the price of reduced detection sensitivity. We present simple algorithms that both reduce background variation and maintain trip-wire detection sensitivity with gamma-ray spectrometry. The best-performing algorithms focus on the spectral shape over several energy bins using Spectral Comparison Ratios and dynamically predict background with the Kalman Filter.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-76RL01830
OSTI ID:
924048
Report Number(s):
PNNL-SA-55075; ARISEF; NN2001000; TRN: US0801971
Journal Information:
Applied Radiation and Isotopes, 66(3):362-371, Vol. 66, Issue 3; ISSN 0969-8043
Country of Publication:
United States
Language:
English