Speaker
Description
Modern radioxenon detection systems exhibit a low memory effect. For example, the MIKS plastic detector cell has a memory effect coefficient of less than 5%. However, even low levels of memory effect can affect measurement results. To account for this, the gas background is measured separately and incorporated into the calculation of sample activity.
Accurate accounting for the gas background is important to ensure precise activity measurements. The standard approach, the Net Count Calculation method, applies the same region-of-interest (ROI) ratios for both the sample and the gas background.
In this study, alternative methods for gas background accounting in the calculation of radioactive xenon isotope activities were investigated. These methods provide a more accurate determination of the gas background spectra. It was found that the gas background spectrum of a selected isotope can differ from the spectrum of a sample containing the same isotope, necessitating careful consideration during activity calculations.
A series of calculations was performed based on measurements of radioactive spikes and other samples using MIKS. A comparison of different approaches was conducted, including a novel Bayesian method that incorporates a priori information about background spectra.
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