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The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
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Terrestrial Energy upgrades IMSR plant design
Terrestrial Energy has upgraded the design of its Integral Molten Salt Reactor (IMSR) nuclear power plant, the company announced on September 14. The proposed facility will now feature 390 MWe of generation capacity for grid supply from twin reactors and generators. Ontario, Canada–based
Luis A. Perles, Dragan Mirkovic, Gabriel O. Sawakuchi, Uwe Titt
Nuclear Technology | Volume 175 | Number 1 | July 2011 | Pages 22-26
Technical Paper | Special Issue on the 16th Biennial Topical Meeting of the Radiation Protection and Shielding Division / Radiation Biology; Radiation Used in Medicine | dx.doi.org/10.13182/NT11-A12264
Articles are hosted by Taylor and Francis Online.
In this work we present a Monte Carlo study of proton irradiation of lung parenchyma phantoms for particle energies that are typically used for proton therapy, ranging from 150 to 200 MeV. The Bragg peaks of the proton beams were scored in a water phantom distal to voxelized slabs of lung material. A detailed lung parenchyma phantom was modeled and converted into a voxelized structure, with a resolution similar to that obtained by computed tomography, to study differences in the dose deposited by the proton beams distal to the phantom caused by merging small structures into larger voxels. The results show that the Bragg peak dose in water can vary by up to 11%, the distal edge degradation can be as large as 1.1 mm, and the maximum observed changes in the range at 90% of the dose are 0.4 mm in water. From our results, we conclude that computational proton dose predictions in a lung are associated with large uncertainties. To improve the accuracy of dose calculations, a more detailed model of lung parenchyma is needed.