Abstract GESPECOR is a Monte Carlo based software developed for the computation of efficiency, of matrix effects and of coincidence summing effects in gamma-ray spectrometry. GESPECOR can be applied to coaxial and well-type HPGe or to Ge(Li) detectors and to various types of sources, including point, cylindrical, and spherical sources or Marinelli beakers. In this paper the structure of GESPECOR is presented and the procedures applied are described. The uncertainty of the results computed by GESPECOR is carefully analyzed. The analysis shows that GESPECOR is able to provide results with a well defined uncertainty, in a user friendly WINDOWS environment.
[Show abstract][Hide abstract] ABSTRACT: 1 , O. SIMA 2 Abstract. In order to perform an efficiency calibration for different measurement geometries a good knowledge of the detector characteristics is required. The Monte Carlo simulation program GESPECOR is used. The detector characterization required for Monte Carlo simulation is achieved by a trial and error procedure using the e fficiency v alues measured with point sources placed in several positions.
[Show abstract][Hide abstract] ABSTRACT: The radioactive waste containers, containing different radioactive materials, have to be characterized before their final disposal. Destructive methods, although being the most precise, are also the most expensive and not the easiest ones from the radioprotection point of view. In this situation, high resolution gamma spectrometry proved to be a reliable method for the non destructive assay method. However, the non-homogenous composition of the radioactive waste inside the drum makes the quantitative characterization of the radioactive waste drum a difficult task. The efficiency calibration procedure is difficult and dependent on different parameters such as: experimental set-up, the sources distribution inside the drum, and also on the nuclear data used for the calculations. The experimental studies complemented with the performed Monte Carlo calculations are presented in this paper.
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