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Time Series Analysis of Low Level Gas Counting Data

Published online by Cambridge University Press:  18 July 2016

Lauri Kaihola,
Henry Polach and
Hannu Kojola
Lauri Kaihola
Affiliation:
Department of Physical Sciences, University of Turku, SF-20500 Turku 50, Finland
Henry Polach
Affiliation:
Radiocarbon Dating Research, Australian National University, POB 4, Canberra 2600, Australia
Hannu Kojola
Affiliation:
Wallac Oy, Research Department, POB 10, SF-20101 Turku 10, Finland
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Abstract

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We demonstrate the feasibility of pulse time of arrival information for early detection of periodic events in low level counting. Time of arrival data allows us to apply time series analysis and serial correlation tests which, in graphic form, give the user an illustrative view of the parameters affecting the validity of counting statistics. The decision to discontinue counting can already be made on the basis of less than 100 counts from the time information alone if more than 10 of these are non-Poisson periodic counts. The analyses also serve as a means of quality control for low level counting, being directly based upon the interval distribution of the Poisson process.

Information

Type
Research Article
Information
Radiocarbon , Volume 26 , Issue 2 , 1984, pp. 159 - 165
Copyright
Copyright © The American Journal of Science

References

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