Application of Queueing Theory for Detector Dead Time Estimation
Queueing theory is applied to experimental data from HPGe detector, to estimate the counting probabilities at varying count rates. A limited capacity queueing model along with a basic Poisson model is used to estimate the counting probabilities. The detector dead time is calibrated based on the comparison of the probabilities obtained from the two models. The dead time is estimated to be an exponentially increasing function for medium to high counting rates, and a constant value for low counting rates. At the peaking point detector dead time was estimated to be 15microsecond, which compares well with the available data on HPGe detectors.
A. Patil et al., "Application of Queueing Theory for Detector Dead Time Estimation," Transactions of the American Nuclear Society, American Nuclear Society (ANS), Jan 2010.
2010 ANS Annual Meeting and Embedded Topical Meetings
Mining and Nuclear Engineering
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