This investigation aims to compare the full energy peak efficiencies in the energy range of 46-1836 keV on a type-p coaxial HPGe and estimate the coincidence summing factor for the case of Marinelli Beaker samples used by two general Monte-Carlo simulation software MCNP and PENELOPE. The radioactive nuclides used in determining the coincidence summing factor include 22Na, 60Co, 88Y, 133Ba, 134Cs, 154Eu, and 208Tl, which are prepared in HCl 2M solution and contained in a Marinelli beaker with the source’s volume of 3000 ml. The results demonstrate there is a good agreement between the two simulation software with an average discrepancy of 1.3%. On the other hand, the simulation coincidence summing factor values are also compared with the results from the calculating software ETNA with an average discrepancy of approximately 3.1%.
Narrow spectrum series from N-40 to N-120 were established according to ISO 4037:2019. This study was made through experimental measurements and the software modeling toolkit SpekPy v2.0. Experiments were performed to determine Inherent filtration (0.332 & 0.492 mm Al at 100 cm & 250 cm, respectively). The maximum deviation compared to ISO 4037:2019 of the measured HVLs values are not more then 0.10 mm Al and for modeling not exceed 0.09 mm Al; h range 0.91 to 0.97 for experimently and 0.89 to 0.96 for modeling (0.88 - 1, ISO 4037-1:2019). The maximum contribution of scattering is value 4.0% (< 5%, ISO 4037-1:2019). Radiation field uniformity of N-40 to N-120 should list all categories in detail 12.5, 11.0, 10.0, 9.0, 8.5 cm at 100 cm distance; and 35.5, 31.5, 29.0, 26.5, 24.5 cm at 250 cm beam center axis distance. On the basis of ISO 4037:2019, air kerma values at 100 cm and 250 cm have also been determined with uncertainties 3.85% to 5.18% for experimently and 3.41% to 4.19% for modeling (not exceed 10%, ISO 4037:2019). Therefore, the X-ray radiation field has been well established in compliance with the ISO 4037:2019, it can be used for calibrating survey meters and personal dosimeters.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.