Title

Application of Queueing Theory for Detector Dead Time Estimation

Abstract

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.

Meeting Name

2010 ANS Annual Meeting and Embedded Topical Meetings

Department(s)

Mining and Nuclear Engineering

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2010 American Nuclear Society (ANS), All rights reserved.

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