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An inter-comparison of three spectral-deconvolution algorithms for gamma-ray spectroscopy

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2 Author(s)
Meng, L.J. ; Dept. of Phys. & Astron., Southampton Univ., UK ; Ramsden, D.

This paper presents a comparison of three deconvolution techniques, Maximum Likelihood, Maximum Entropy and Linear Regularisation for the unconstrained deconvolution of gamma-ray spectra. These convert the raw energy-loss spectra obtained using a standard scintillation counter, into a good representation of the incident gamma-ray spectrum. This work is based on the use of an industry-standard 3×3 inch NaI detector. Both simulated and measured data have been deconvolved using the three algorithms to provide a direct comparison between the qualities of the deconvolved spectra. For applications in which it is important to derive an accurate estimate of the number of counts in a particular full-energy peak, the Maximum Likelihood Method has been shown to be superior

Published in:

Nuclear Science, IEEE Transactions on  (Volume:47 ,  Issue: 4 )

Date of Publication:

Aug 2000

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