Uso de Métodos Monte Carlo na Modelagem de uma Nuvem Radioativa Natural
The level of natural radiation in some regions of Brazil, and the world, have become high. One of the places that have these high levels are underground mines. At these locations, the radiation may come from the ground, the walls, and the environment in the form of gases. The Group of Numerical Dosi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)
2015-05-01
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| Series: | Brazilian Journal of Radiation Sciences |
| Subjects: | |
| Online Access: | https://bjrs.org.br/revista/index.php/REVISTA/article/view/154 |
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| Summary: | The level of natural radiation in some regions of Brazil, and the world, have become high. One of the places that have these high levels are underground mines. At these locations, the radiation may come from the ground, the walls, and the environment in the form of gases. The Group of Numerical Dosimetry (GDN), already developed, and utilizes various of Computational Models Exposure (MCE) to simulate situations where people are exposed to ionizing radiation. In one study, the GDN utilized the MCEs to to simulate the soil contamination by natural elements.This work aims to continue the study of contamination by natural elements, taking into account the energy interval range of gaseous natural elements. For this, the algorithm developed by GDN in 2004, was upgraded to simulate the irradiation of a person in the standing position, where its craniocaudal axis coincides with the axis of a cylinder circumscribing the body, where they emerge, isotropically, photonsThis update was done in the model MSTA (Mash Standard) To describe this situation we used a MCE composed of the font algorithm described by Vieira the phantom MASH and the MC code EGSnrcThe simulation results were organized in formats absorbed dose / air Kerma. These data may be used for other situations where the user that knows the energies, and their abundances, can interpolate the data to obtain new results without the need to conduct new simulations. |
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| ISSN: | 2319-0612 |