<p> Contemporary approaches to data
analysis suffer from being both time-consuming and
subjective; however, the application of numerical techniques
to the automated (non-interactive) analysis of gamma ray
spectra often leads to considerably improved performance.
The foundations and limitations of such techniques lie in
the applicability of certain mathematical operations such as
deconvolution, and the careful study of stochastic models.
The use of digital filters as a method of enhancing detector
response has been applied to a triple-coincidence counting
arrangement, after modelling undesired physical effects. An
objective background estimation method has been described
based on the statistical nature of nuclear measurements. Finally,
the application of such techniques is demonstrated
with a package of FORTRAN programs designed to be used in a
variety of situations with minimal modifications. </p> / Thesis / Master of Science (MSc)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/20365 |
| Date | 07 1900 |
| Creators | Tervo, Richard |
| Contributors | Kennett, T. J., Physics |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
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