• 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