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Undeclared uranium hitches a ride on cobalt exports from Congo, study says
Philippe (left) and Manzuk quantified the amount of uranium that has been exported from the DRC in cobalt shipments or left behind in the environment. (Photo: Joel Hallberg/UW–Madison)
Researchers at the University of Wisconsin–Madison and Princeton University have published a study in Nature Communications that calls attention to a blind spot in nuclear nonproliferation: The Democratic Republic of the Congo (DRC) has exported thousands of metric tons of uranium, and there is no accounting for where it has gone.
In partnership with Lighthouse Reports and the Financial Times, UW–Madison nuclear engineering professor and nuclear security expert Sébastien Philippe and Ryan Manzuk, a geologist and research fellow in Philippe’s group and at Princeton, conducted the study using countrywide mineralization and geochemical data.
K. Wong, B. Erdelyi
Nuclear Technology | Volume 175 | Number 1 | July 2011 | Pages 40-47
Technical Paper | Special Issue on the 16th Biennial Topical Meeting of the Radiation Protection and Shielding Division / Radiation Transport and Protection | doi.org/10.13182/NT11-A12267
Articles are hosted by Taylor and Francis Online.
Proton computed tomography (pCT) has become a lively research field in medical imaging. Its importance lies in its ability to accurately locate the Bragg peak where the tumor is positioned for proton therapy treatment planning. The quality of the pCT image is primarily affected by the spatial resolution and relative electron density resolution. A measure of the spatial resolution is the amount of expected deviation of the actual proton paths from the theoretically derived paths based on the experimentally available data, the so-called most likely paths (MLPs). The MLPs are derived using the assumption that the object to be imaged is homogeneous water. Geant4 Monte Carlo simulations were used to simulate the actual proton paths through some inhomogeneous phantoms and were compared with MLP calculations. Statistical analyses were conducted to determine the spatial resolution of the protons in different phantoms as a function of inhomogeneity location, amount, and density.