Abstract
Since the early forties, researchers from around the world have been studying the phenomenon of deadtime in radiation detectors. Many have attempted to develop models to represent this phenomenon. Two highly idealized models; paralyzable and non-paralyzable are commonly used by most individuals involved in radiation measurements. Most put little thought about the operating conditions and applicability of these ideal models for their experimental conditions. So far, there is no general agreement on the applicability of any given model for a specific detector under specific operating conditions, let alone a universal model for all detectors and all operating conditions. Further the related problem of pile-up is often confused with the deadtime phenomenon. Much work, is needed to devise a generalized and practical solution to these related problems. Many methods have been developed to measure and compensate for the detector deadtime count loss, and many researchers have addressed deadtime and pulse pile-up. The goal of this article is to summarize the state of science of deadtime; measurement and compensation techniques as proposed by some of the most significant work on these topics and to review the deadtime correction models applicable to present day radiation detection systems.
Recommended Citation
S. Usman and A. Patil, "Radiation Detector Deadtime and Pile up: A Review of the Status of Science," Nuclear Engineering and Technology, vol. 50, no. 7, pp. 1006 - 1016, Korean Nuclear Society, Oct 2018.
The definitive version is available at https://doi.org/10.1016/j.net.2018.06.014
Department(s)
Nuclear Engineering and Radiation Science
Keywords and Phrases
Count loss; Deadtime; Hybrid deadtime model; Nonparalyzable; Paralyzable; Pulse pile-up; Resolving time
International Standard Serial Number (ISSN)
1738-5733
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2018 Korean Nuclear Society, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publication Date
01 Oct 2018
