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Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
Meeting Spotlight
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
ARPA-E announces $40 million to develop transmutation technologies for UNF
The Department of Energy’s Advanced Research Projects Agency–Energy (ARPA-E) announced $40 million in funding to develop cutting-edge technologies to enable the transmutation of used nuclear fuel into less-radioactive substances. According to ARPA-E, the new initiative addresses one of the agency’s core goals as outlined by Congress: to provide transformative solutions to improve the management, cleanup, and disposal of radioactive waste and spent nuclear fuel.
Su-Jin Jeon, Jae-Sang Lee, Do-Hyun Kim, Seok-Ho Hong, Chun-Sik Lee, Young-Wan Choi
Nuclear Technology | Volume 206 | Number 7 | July 2020 | Pages 1075-1085
Regular Technical Paper | doi.org/10.1080/00295450.2019.1697175
Articles are hosted by Taylor and Francis Online.
A homography method to correct position errors generated in the Compton imaging system using a resistive network is presented. The Compton imaging system is composed of a scatterer and an absorber in multichannel arrays for high resolution and can detect gamma rays emitted from radioisotopes. Resistive networks are often used in this system to efficiently reduce the number of channels. However, this can cause position errors, and the spatial resolution deteriorates according to the resistance value of the network, type of detector array, and characteristics of the preamplifier used. Therefore, before tracking the position of the source, it is necessary to correct the position errors of images obtained from the scatterer and absorber. Also, a new correction method should consider the characteristics of the readout circuits based on the resistive network. In this work, the position errors are corrected using homography, which is a coordinate transformation method. To verify the corrections using homography transformation, we modeled the current pulse generated from the detector and designed an automatic channel selection circuit to input each channel of the resistive network. From experiments, we first obtained the positions with distortions according to the setup of readout circuits and corrected these errors by applying the homography transformation method. Consequently, the distortions were significantly corrected, and the error rates of the positions compared with those of the ideal grid were greatly reduced by up to 0.36%.