scholarly journals Monte-Carlo Simulation of Ionizing Radiation Tracks

Author(s):  
Ianik Plante ◽  
Francis A.
2003 ◽  
Vol 9 (6) ◽  
pp. 1493-1504
Author(s):  
E. N. Avrorin ◽  
A. G. Tsvetokhin ◽  
A. I. Xenofontov ◽  
E. I. Kourbatova ◽  
J. L. Regens ◽  
...  

2018 ◽  
Vol 190 (3) ◽  
pp. 248 ◽  
Author(s):  
Jake C. Forster ◽  
Michael J. J. Douglass ◽  
Wendy M. Phillips ◽  
Eva Bezak

2021 ◽  
Vol 234 ◽  
pp. 00060
Author(s):  
Youssef El-Ouardi ◽  
Adil Aknouch ◽  
Ahmed Dadouch ◽  
Mohammed Mouhib ◽  
Mounir Benmessaoud

The human body is vulnerable to exposure to ionizing radiation permanently. These radiations can be of natural origin such as soil and space, or of artificial and medical origins etc. Despite the great benefits that come from the applications of ionizing radiation in human life can turn at any time into threats to the life of the population once there is serious exposure to ionizing radiation. The aim of this work is to assess the risks of exposure by gamma radiation using the Monte Carlo simulation and an anthropomorphic phantom. This study is carried out on gamma rays received from the cobalt-60 irradiator of the National Institute of Agronomic Research (NIAR) Tangier / Morocco. With the code Geant4 we calculate the absorbed dose by the whole phantom body placed in front of the gamma irradiator inside the NIAR ionization cell. Dose calculations are made as a function of three parameters: phantom-irradiator distance, exposure time and as a function of gamma irradiator activity. The results clearly show that the dose absorbed and thus the danger of irradiation decreases by increasing the phantom-source distance, and by reducing the exposure time and the activity of the cobalt-60 source.


Author(s):  
Ryuichi Shimizu ◽  
Ze-Jun Ding

Monte Carlo simulation has been becoming most powerful tool to describe the electron scattering in solids, leading to more comprehensive understanding of the complicated mechanism of generation of various types of signals for microbeam analysis.The present paper proposes a practical model for the Monte Carlo simulation of scattering processes of a penetrating electron and the generation of the slow secondaries in solids. The model is based on the combined use of Gryzinski’s inner-shell electron excitation function and the dielectric function for taking into account the valence electron contribution in inelastic scattering processes, while the cross-sections derived by partial wave expansion method are used for describing elastic scattering processes. An improvement of the use of this elastic scattering cross-section can be seen in the success to describe the anisotropy of angular distribution of elastically backscattered electrons from Au in low energy region, shown in Fig.l. Fig.l(a) shows the elastic cross-sections of 600 eV electron for single Au-atom, clearly indicating that the angular distribution is no more smooth as expected from Rutherford scattering formula, but has the socalled lobes appearing at the large scattering angle.


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