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From uncertainty to vitality: The future of nuclear energy in Illinois
Nuclear is enjoying a bit of a resurgence. The momentum for reliable energy to support economic development around the country—specifically data centers and AI—remains strong, and strongly in favor of nuclear. And as feature coverage on the states in the January 2026 issue of Nuclear News made abundantly clear, many states now see nuclear as necessary to support rising electricity demand while maintaining a reliable grid and reaching decarbonization goals.
Akash Tondon, Mohinder Singh, B. S. Sandhu, Bhajan Singh
Nuclear Science and Engineering | Volume 193 | Number 11 | November 2019 | Pages 1265-1275
Technical Paper | doi.org/10.1080/00295639.2019.1614802
Articles are hosted by Taylor and Francis Online.
The voxel, defined as the volume of the intersection between incident (primary) and scattered beams, plays an important role in the localization of defects in samples having several interests. In this work, the gamma rays emitted from a 137Cs radioactive source (having the strength of 222 GBq) are scattered from various regions of a wood sample. The scattered gamma flux is detected by an NaI(Tl) scintillation detector placed at 110 deg to the primary gamma-ray beam. Defect (decay) in the wood is simulated by drilling two collinear cylindrical flaws (having diameters of 0.8 and 1.2 cm) in the wood sample and then filling it with a mixture of sawdust and glue. Three sets of collimators with diameters of 6, 7, and 8 mm for the source and detector are used to vary the voxel size (volume). It has been found that better contrast (29.43% for a 1.2-cm defect and 16.37% for an 0.8-cm defect) is achieved for the smallest voxel (16.13 cm3) in comparison to the other two voxels (25.65 and 38.36 cm3). Further, better contrast for the smallest voxel is confirmed by comparing gray images obtained using MATLAB for all three voxel sizes at different scan positions. It has been concluded that for a given experimental setup, the accuracy of defect (decay) detection demands reduced voxel size.