Simulation analysis of the Compton-to-peak method for quantifying radiocesium deposition quantities
Alex Malins, Kotaro Ochi, Masahiko Machida, Yukihisa Sanada

TL;DR
This study uses simulation to analyze how the Compton-to-peak gamma spectrometry method can quantify radiocesium deposition, focusing on the dependency of spectral ratios on vertical distribution and measurement altitude.
Contribution
The paper introduces a simulation-based approach to evaluate the sensitivity of the Compton-to-peak method for radiocesium quantification in various ground distributions and survey conditions.
Findings
Sensitivity is highest shortly after fallout when cesium is near the surface.
Lower altitude aerial surveys improve the method's accuracy.
The method requires data on measurement height and activity ratios.
Abstract
Compton-to-peak analysis is a method for selecting coefficients for converting count rates measured with in situ gamma ray spectrometry to radioactivity concentrations of Cs and Cs in the environment. Compton-to-peak analysis is based on the count rate ratio between the spectral regions containing scattered gamma rays to the primary Cs and Cs photopeaks (known as the Compton-to-peak ratio - RCP). RCP changes with the vertical distribution of Cs and Cs within the ground. Inferring this distribution enables the selection of appropriate count rate to activity concentration conversion coefficients. Here PHITS was used to simulate the dependency of RCP on different vertical distributions of Cs and Cs within the ground. A model was created of a LaBr(Ce) detector used in drone helicopter aerial surveys in Fukushima Prefecture.…
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Taxonomy
TopicsRadioactive contamination and transfer · Radioactivity and Radon Measurements · Radiation Detection and Scintillator Technologies
