"
Computing Efficiency Improvement in Monte Carlo Simulation of a 12 MV Photon Beam Medical LINAC"
written by M. Zoubair, T. El Bardouni, O. Allaoui, Y. Boulaich, B. El Bakkari, C. El Younoussi, H. Boukhal, E. Chakir,
published by
World Journal of Nuclear Science and Technology,
Vol.3 No.1, 2013
has been cited by the following article(s):
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[1]
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[2]
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Towards efficient Monte Carlo N-Particle simulation of a positron emission tomography (PET) via source volume definition
Applied Radiation and Isotopes,
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DOI:10.1016/j.apradiso.2022.110418
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[3]
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DOI:10.1080/16878507.2019.1623573
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[4]
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[5]
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DOI:10.1088/1361-6560/aa772d
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[6]
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Investigation of spherical and cylindrical catural Iridium targets by photonuclear reaction
EPJ Web of Conferences,
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DOI:10.1051/epjconf/201715401027
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[7]
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Evaluation of variance reduction techniques in BEAMnrc Monte Carlo simulation to improve the computing efficiency
Journal of Radiation Research and Applied Sciences,
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DOI:10.1016/j.jrras.2016.05.005
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|
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