SIMU-RAD programme: a learning tool for radiation (photons and charged particles) interaction

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Radiation education is necessary for a wide variety of people, such as radiation workers particularly for students of secondary school and higher education institution who learn radiation sciences. The fact that we could not see or feel radiation makes it difficult to understand it. The use of radiation trajectories shown on a personal computer should be useful to overcome this difficulty. In order to understand radiation behaviour inside the material, we have developed a Simu-Rad (Copyright: LY2018002738) by using Monte Carlo simulation programme. One who has no programming knowledge is able to simulate photons in a material through the developed programme. The program could become a computer aided learning tool for radiation related courses. We aim to facilitate lecturer from ‘The Traditional Classroom’ to ‘The Flipped Classroom’ for radiation education concerning in the era of IR 4.0. To validate our radiation simulator, we calculate photon linear attenuation coefficient (µ) of an aluminium material which commonly used as a filter in diagnostic radiology. µ is one of the main characteristics to understand how the radiation attenuated inside the materials. We calculate at energy photon of 662 keV (Cs-137 radiation source) to compare our results of µ with the XCOM database. Consequently, the results from the developed simulator comparable with the database verified our programme to be used for radiation study.

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  • [1] Harrison RL. Introduction to Monte Carlo Simulation. AIP Conf Proc. 2010;1204:17-21.

  • [2] Metropolis N Ulam S. The Monte Carlo Method. J Am Stat Assoc. 1949;44(247)335-341.

  • [3] Hirayama H Namito Y. Lecture Notes of Radiation Transport Calculation by Monte Carlo Method. KEK Internal.2001;2000-20.

  • [4] Dimov IT Tonev OI. Monte Carlo Algorithms: Performance Analysis for Some Computer Architectures. J Comput Appl Math. 1993;48(3):253-277.

  • [5] Peter Ziegenhein Pirner S Ph Kamerling C Oelfke U. Fast CPU-based Monte Carlo Simulation for Radiotherapy Dose Calculation. Phys Med Biol. 2015;60(15):6097-6111.

  • [6] Kara U Tekin HO. Estımatıon of Absorbed Dose Dıstrıbutıon in Dıfferent Organs durıng the CT Scan: Monte Carlo Study. Austin J Radiol. 2017;4(1):1063.

  • [7] Larsson E Ljungberg M Strand SE Jonsson BA. Monte Carlo Calculations of Absorbed Doses In Tumours using A Modified Moby Mouse Phantom for Pre-Clinical Dosimetry Studies. Acta Oncol. 2011;50:6973-980.

  • [8] Sukara S Rimjeam S. Simulation of Gamma Rays Attenuation Through Matters using the Monte Carlo Program. J Phys: Conf Ser. 2017;901:012141.

  • [9] Hirayama H Namito Y Bielajew AF et al. The EGS5 Code System. 2005; SLAC-Report-730.

  • [10] Nelson WR Field C. Comparison of EGS5 Simulations with Experiment. Nuclear Instrument and Methods in Physics Research. 2007;572(3):1083-1093.

  • [11] Tajudin SM Namito Y Sanami T Hirayama H. Quasi-monoenergetic 200 keV Photon Field using a Radioactive Source with Backscatter Layout. Japan J Appl Phys. 2014;53(11):116401.

  • [12] Malik AH Shimazoe K Takahashi H. EGS5 Simulations for the Development of Non-Contacting System to Online Measure the Radiotracer Concentration in Blood. Prog Nucl Sci Technol. 2014;4:290-293.

  • [13] Hubbell JH Seltzer SM. X-Ray Mass Attenuation Coefficients. NISTIR 5632.

  • [14] Berger MJ Hubbell JH Seltzer SM et al. XCOM: Photon Cross Sections Database. NBSIR 87-3597.

  • [15] Pawar PP. Measurement of Mass and Linear Attenuation Coefficients of Gamma-Rays of AL for 514 662 and 1280 keV Photons. J Chem Pharm Res. 2011;3(4): 899-903.

  • [16] Tekin HO Manici T. Simulations of Mass Attenuation Coefficients for Shielding Materials using The MCNP-X code. Nucl Sci Techniques. 2017;28:95.

  • [17] Zhang L Jia MC Gong JJ Xia WM. Simulation of Photon Attenuation Coefficients for High Effective Shielding Material Lead-Boron Polyethyene. IOP Conf Ser: Earth Environ Sci. 2017; 100:012137.

  • [18] Ferreira CC Ximenes RE Garcia CAB et al. Total Mass Attenuation Coefficient Evaluation of Ten Materials Commonly used to Simulate Human Tissue. J Phys: Conf Ser. 2010;249:012029.

  • [19] Knoll GF. Radiation Detection and Measurement. New York: John Wiley & Sons Inc. 2010.

  • [20] Suffian MT Adila Hanim AS. Simu-Rad. Poster presented at Putra InnoCreative Carnival in Teaching and Learning (PicTL’18); 2018; Universiti Putra Malaysia Malaysia.

  • [21] CGVIEW Particle Trajectory and Geometry Display Program.

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