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Determination of γ-ray energy transfer buildup factor in water and some human tissues using Monte Carlo simulation

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Abstract

The photon buildup factors have been proposed to consider the produced secondary photon sources during the interactions of γ-rays with the material. In the study of γ-ray dosimetry and γ-ray shielding, different photon buildup factors have been introduced, including number buildup factor, exposure buildup factor (EBF) and energy absorption buildup factor (EABF). In the present study, a new type of buildup factor, energy transfer buildup factor (ETBF), was calculated and compared with EABF. To the best of the authors’ knowledge, the ETBF has not been calculated so far. The calculations were carried out for 1–20 MeV photons in soft tissue, lung, brain and water up to the depth of 10 mean free path (MFP) using MCNP6.1. While comparing the ETBF and the EABF, it was found that the relative difference between the ETBF and the EABF was increased by increasing the photon energy and MFP. To be specific, the relative difference between the ETBF and the EABF in the soft tissue for 1 MeV photon was in the range of 0–0.19%, while it was in the range between 1.5 and 2.86% for 20 MeV photon. In addition, to interpolate the ETBF, the parameters of the G-P fitting formula were determined. For validation, the values of ETBF and EABF were calculated in water and soft tissue, respectively and a good agreement was observed with the obtained values from the FLUKA code and MCNP5 code. Finally, it can be stated that the calculation of the ETBF for high photon energies leads to useful and practical results in dosimetry and shielding design of γ-rays.

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  1. Faculty of Physics, Shahid Bahonar University of Kerman, Kerman, Iran

    Mustafa Mohammad Rafiei, Hadi Noori, Sara Parsaei & Mozhdeh Nasiripour

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  1. Mustafa Mohammad Rafiei
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Mohammad Rafiei, M., Noori, H., Parsaei, S. et al. Determination of γ-ray energy transfer buildup factor in water and some human tissues using Monte Carlo simulation. Pramana - J Phys 97, 131 (2023). https://doi.org/10.1007/s12043-023-02611-3

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