A Wavelet-Based Method for Automatic Location of Peaks in Gamma-Ray Spectra

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Abstract:

Wavelet analysis method is a promising tool for analysis of gamma-ray spectra due to its time-frequency localization ability and multi-scale resolution feature. This paper describes a method to locate peaks in gamma-ray spectra based on continuous wavelet transform (CWT) of the spectrum using Marr wavelet. The theoretical basis of using Marr wavelet to detect Gaussian peaks was explained. A scale range, 1 to FWHMmax+2, was then suggested to perform CWT. Several novel criteria were used to discriminate real peaks from noise. The detection ability of this method was verified with some measured spectra. The results indicated that Marr wavelet did well in locating gamma-ray peaks.

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1911-1919

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October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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