DocumentCode
477571
Title
Application of Self-Adapting Weighted Algorithm to Nuclear Pulse Measurement
Author
Li Lanjun ; Yu Shouyi ; Tang Yaogeng ; Gao Song
Author_Institution
Coll. of Inf. Sci. & Eng., Central South Univ., Changsha
Volume
1
fYear
2008
fDate
20-22 Oct. 2008
Firstpage
1008
Lastpage
1011
Abstract
Nuclear pulse is directly related to the radiation intensity but influenced by statistical fluctuation. Because most available rate-meters have complex structure of circuits, we introduce a chip-microcomputer-based nuclear count rate measuring system which is easily incorporated into isotope gauges for measurement on level, density, thickness, etc. To make continuous measurement of the count rate, the time period is divided equally into a lot of intervals. The sample frequency is increased by making the interval smaller. The box car averaging and self-adapting weighted algorithm for continuous count rate measurement are explained in details. Simulations show that both methods can substantially decrease the statistical fluctuation by appropriately choosing the number of data used for on-line measurement and the weighted algorithm gives minimum variance. In a word, the measuring system is a fast rate meter with simple construction and high accuracy.
Keywords
isotopes; microcomputer applications; nuclear engineering computing; radiation; chip-microcomputer; continuous count rate measurement; density measurement; isotope gauges; level measurement; nuclear count rate measuring system; nuclear pulse measurement; radiation intensity; self-adapting weighted algorithm; statistical fluctuation; thickness measurement; Circuits; Density measurement; Fluctuations; Frequency; Isotopes; Nuclear measurements; Pulse measurements; Semiconductor device measurement; Thickness measurement; Time measurement; Algorithm; Count rate; Nuclear pulse; Statistical fluctuation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location
Hunan
Print_ISBN
978-0-7695-3357-5
Type
conf
DOI
10.1109/ICICTA.2008.112
Filename
4659641
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