Application of Monte Carlo Method for Gamma ray Attenuation Properties of Lead Zinc Borate Glasses

This work aims to introduce an useful computational model, based in Monte Carlo simulation, which can be used in practical application, and this paper presents values determined using a Monte Carlo algorithm for linear attenuation coefficient of lead zinc borate glasses with different percentages of PbO. The simulation results have been verified with predictions from the XCOM program in the studied energy region from 1 keV to 2000 keV and experimental results. Thus, this verification indicated that this research method can be followed to determine the interaction and attenuation of gamma rays with the several energies in different materials. Also, the values of mean free path and the half-value layer were calculated using the values of the linear attenuation coefficient. The dependence of these radiation shielding parameters on the energy of impinging gamma ray and the ratio of substances changes has been examined.

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J. E. Hurtado, and A. H. Barbat, “Monte Carlo Techniques in Computational Stochastic Mechanics,” Archives of Computational Methods in Engineering, vol. 5, no. 1, pp. 3- 30, 1998.

I. Kawrakow, “Accurate condensed history Monte Carlo simulation of electron transport. I. EGSnrc, the new EGS4 version,” Medical Physics, vol. 27, no. 3, pp. 485-498, 2000.

F. Arqueros and G. D. Montesinos, “A simple algorithm for the transport of gamma rays in a medium,” American Journal of Physics, vol. 71, no. 1, pp. 38-45, 2003.

Applied R&M Manual for Defence Systems Part D - Supporting Theory, Chapter 4:Monte-Carlo Simulation.

A. N. Mohammed, M. S. Karim, H. H. Daroysh, and L. Y. Abbas, “Monte Carlo assessment of gamma ray attenuation properties for MCP-96 alloy using transmission technique,” The Fifth Scientific Conference of the College of Science University of Kerbala, pp. 95-104, 2017.

M. E. Medhat and V. P. Singh, “Geant4 Monte Carlo code application in photon interaction parameter of composite materials and comparison with XCOM and experimental data,” Indian Journal of Pure and Applied Physics, vol. 54, pp. 137-143, 2016.

O. Ozyurt, N. Altinsoy, S. I. Karaaslan, A. Bora, B. Buyuk, and I. Erk, “Calculation of gamma ray attenuation coefficients of some granite samples using a Monte Carlo simulation code,” Radiation Physics and Chemistry, vol. 144, pp. 271-275, 2018.

D. Han, W. Kim, S. Lee, H. Kim, and P. Romer, “Assessment of gamma radiation shielding properties of concretecontainers containing recycled coarse aggregates,” Construction and Building Materials, vol. 163, no. 28, pp. 122-138, 2018.

R. Bagheri, S. P. Shirmardi, and R. Adeli, “Study on gamma-ray shielding characteristics of lead oxide, barite, and boron ores using MCNP-4C Monte Carlo code and experimental data,” Journal of Testing and Evaluation, vol. 45, no. 6, 2259- 2266, 2017.

L. F. Pirez and M. E. Medhat, “Different methods of mass attenuation coefficient evaluation: Influences in the measurement of some soil physical properties,” Applied Radiation and Isotopes, vol. 111, pp. 66-74, 2016.

A. M. El-Khayatt, A. M. Ali, V. P. Singh, and N. M. Badiger, “Determination of mass attenuation coefficient of low-Z dosimetric materials,” Radiation Effects and Defects in Solids, vol. 169, no. 12, pp. 1038-1044, 2014.

S. J. Stankovic, R. D. Ilic, K. Jankovic, D. Bojovic, and B. Loncar, “Gamma radiation absorption characteristics of concrete with components of different type materials,” Acta Physica Polonica A, vol. 117, no. 5, pp. 812-816, 2010

S. Y. El-Kameesy, S. A. El-Ghany, M. A. E. Azooz, and Y. A. A. El-Gammam, “Shielding properties of lead zinc borate glasses,” World Journal of Condensed Matter Physics, vol. 3, pp. 198-202, 2013.

O. Gurler and U. Akar Tarim, “An investigation on determination of attenuation coefficients for gamma-rays by Monte Carlo method,” Journal of Radioanalytical and Nuclear Chemistry vol. 293, pp. 397–401, 2012.

M. J. Berger, J. H. Hubbell, S. M. Seltzer, J. Chang, J. S. Coursey, R. Sukumar, D. S. Zucker, and K. Olsen, XCOM: photon cross sections database, NIST standard reference database 8 (XGAM), 2010.