Advance Prediction of Escape and Sum Peak Areas in Gamma-Ray Spectra

摘要

In gamma-ray spectra measured with Ge detectors, the essential information iscontained in the peaks. Most of the peaks can be explained as photopeaks (full-energy peaks) corresponding to the gamma energies emitted by the source. The identification of the radionuclide contents of an unknown source is based on a comparison of the photopeak energies and counting rates to the energies and emission probabilities in a reference data base. There are also other types of peaks in a typical gamma spectrum and their existence complicates the identification task somewhat. In this work, methods are presented for the advance prediction of escape peak, random sum peak, and coincidence sum peak areas. The applicability of the methods is investigated with the help of several gamma spectra. The accuracy of the escape peak and coincidence sum peak prediction methods is shown to suffice well for nuclide identification purposes.