Monte Carlo simulation for photon energy response from the RADOS dosemeter

Max da Silva Ferreira

Click to access the paper

Access the article on the IFUSP Portal (Pt-Br)

Ionizing radiation is present in various sectors of society, such as industry, medicine, research, and energy production. Due to its harmful effects on the human body, workers exposed to this type of radiation must be monitored using a dosimeter, an instrument that quantifies the radiation dose.

The article “Monte Carlo simulation for photon energy response from the RADOS dosemeter” presents a method for obtaining the response of the RADOS dosimeter using the MCNP computational code. This dosimeter is widely known and used in many countries. Based on the method used in the article, radiation dosimetry services that use this or other dosimetric systems can understand the response of their dosimeters. Additionally, other studies using computational codes can be conducted.

The author thanks researcher Elisabeth M. Yoshimura, the Institute of Physics of USP (IFUSP), and the Pro-Rectory of Inclusion and Belonging (PRIP) for the support provided.

 

Abstract

Ionizing radiation interaction models are commonly included in Monte Carlo codes. However, as there are different models and different output quantities available, it is important to understand the physical phenomena used. So, the aim of this study is to analyze the photon interaction model called Simple Physical Treatment of the Monte Carlo code MCNPX to estimate the energy dependence of photons from the RADOS dosemeter and to validate this calculation method by comparing it with experimental results found in the literature. The energy deposition in the MTS-N detector and the air kerma were obtained accompanied by their uncertainties, which varied between 1.5% and 3.0%. The RADOS dosemeter simulation and the calculation methodology applied in this study have been validated. Therefore, when using the Simple Physical Treatment model, the effective dose can be corrected by a correction factor calculated from the simulated results.

 

conteúdo relacionado