Validation of MCNPX with Experimental Results of Mass Attenuation Coefficients for Cement, Gypsum and Mixture

  • Tekin, Huseyin Ozan (Department of Radiotherapy, Uskudar University) ;
  • Singh, Viswanath P. (Department of Physics, Karnatak University) ;
  • Manici, Tugba (Medical Radiation Research Center (USMERA), Uskudar University) ;
  • Altunsoy, Elif Ebru (Department of Medical Imaging, Uskudar University)
  • Received : 2017.05.31
  • Accepted : 2017.07.12
  • Published : 2017.09.30


Background: Shielding properties of compound or mixture is presented in terms of mass attenuation coefficients using Monte Carlo simulation. Mass attenuation coefficients of cement, gypsum and the mixture of gypsum and $PbCO_3$ has been investigated using monte carlo MCNPX. Materials and Methods: The mass attenuation coefficients of cement, gypsum and the mixture of gypsum and $PbCO_3$ were calculated for photon energies 365.5, 661.6, 1,173.2, and 1,332.5 keV energies. Results and Discussion: The simulated values of mass attenuation coefficients were compared avaialable experimental results, theoretical values by XCOM and found good comparability of the results. Conclusion: Standard simulation geometry used in the present investigation would be very useful for various types of sample for shielding and dosimetry applications.


  1. Dong MG, Sayyed MI, Lakshminarayana G, Celikbilek Ersundu M, Ersundu AE, Nayar P, et al. Investigation of gamma radiation shielding properties of lithium zinc bismuth borate glasses using XCOM program and MCNP5 code. J. Non-Cryst. Solids. 2017;468:12-16.
  2. RSICC Computer Code Collection. MCNPX User's Manual Version 2.4.0. LA-CP-02-408. Los Alamos National Laboratory.2002;1-2.
  3. Akkurt I, Tekin HO, Mesbahi A. Calculation of detection efficiency for the gamma detector using MCNPX. Acta Phys. Pol. A. 2015;128(2):332-334.
  4. Tekin HO, Manici T. Simulations of mass attenuation coefficients for shielding materials using the MCNP-X code. Nucl. Sci. Tech. 2017;28:95.
  5. Tekin HO, Manici T, Ekmekci C. Investigation of backscattered dose in a computerized tomography (CT) facility during abdominal CT scan by considering clinical measurements and application of Monte Carlo method. J. Health Sci. 2016;4:131-134.
  6. Tekin HO, Singh VP, Manici T. Effects of micro-sized and nano-sized $WO_3$ on mass attenuation coefficients of concrete by using MCNPX code. Appl. Radiat. Isot. 2017;121:122-125.
  7. Tekin HO, Manici T, Singh VP. An investigation on shielding effect of bismuth on lung CT scan using Monte Carlo simulation. J. Polytech. 2016;19(4):617-622.
  8. Tekin HO, Singh VP, Altunsoy EE, Manici T, Sayyed MI. Mass attenuation coefficients of human body organs using MCNPX Monte Carlo code. Iranian J. Med. Phys. In press. DOI: 10.22038/ijmp.2017.23478.1230.
  9. Sayyed MI, Al-Zaatreh MY, Dong MG, Zaid MHM, Matori KA, Tekin HO. A comprehensive study of the energy absorption and exposure buildup factors of different bricks for gamma-rays shielding. Results Phys. In press. DOI:
  10. Dong MG, El-Mallawany R, Sayyed MI, Tekin HO. Shielding properties of $80TeO_2-5TiO_2-(15-x) WO_3-xA_nO_m$ glasses using WinXCom and MCNP5 code. Radiat. Phys. Chem. 2017;141:172-178.
  11. Lakshminarayana G, Baki SO, Kaky KM, Sayyed MI, Tekin HO, Lira A, Kityk IV, Mahdi MA. Investigation of structural, thermal properties and shielding parameters for multicomponent borate glasses for gamma and neutron radiation shielding applications. J. Non-Cryst. Solids. 2017;471:222-237.
  12. Rodenas J, Martinavarro A, Rius V. Validation of the MCNP code for the simulation of Ge-detector calibration. Nucl. Instrum. Methods Phys. Res., Sect. A. 2000;450(1):88-97.
  13. Gerward L, Guilbert N, Jensen KB, Levring H. X-ray absorption in matter. Reengineer in Xcom. Radiat. Phys. Chem. 2001;60(1-2):23-24.
  14. Gerward L, Guilbert N, Jensen KB, Levring H. WinX Com a program for calculating X-ray attenuation coefficients. Radiat. Phys. Chem. 2004;71(3):653-654.

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