Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1878259 | Applied Radiation and Isotopes | 2008 | 10 Pages |
Abstract
Large variation in ambient gamma-ray backgrounds challenges the search for radiation sources. Raising detection thresholds is a common response, but one that comes at the price of reduced detection sensitivity. In response to this challenge, we explore several trip-wire detection algorithms for gamma-ray spectrometers. We assess their ability to mitigate background variation and find that 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.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Radiation
Authors
Kenneth D. Jarman, Robert C. Runkle, Kevin K. Anderson, David M. Pfund,