A Deconvolution of Gamma-Ray Spectra for Accurate Attenuation Studies
Abstract
The peak fitting of gamma-ray spectra for estimating net/gross counting is complex because of the selection of interested full energy peak folded by Compton scattering peak and others. Therefore it is necessary to unfold the spectra by deconvolution using Maximum likelihood expectation maximization (ML-EM) method for accurate attenuation measurements in the range 356 keV - 1330 keV for NaI(Tl) gamma ray detector. The histogram data must have an accurate Guassian distribution of photon attenuated by scintillation material and coupled photomultiplier device which depends on response function of detector. The Monte Carlo simulation gives poor resolution. The Deconvolution using (ML-EM) has meets the ideal counting statistics of gamma rays of mono-energetic photons and validate by comparison of mass attenuation coefficients of aluminium absorber for given energies. The measured experimental values by using ML-EM simulation with theoretically reported values by Hubble and Seltzer1 are in good agreement.
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