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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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
ARG-US Remote Monitoring Systems: Use Cases and Applications in Nuclear Facilities and During Transportation
As highlighted in the Spring 2024 issue of Radwaste Solutions, researchers at the Department of Energy’s Argonne National Laboratory are developing and deploying ARG-US—meaning “Watchful Guardian”—remote monitoring systems technologies to enhance the safety, security, and safeguards (3S) of packages of nuclear and other radioactive material during storage, transportation, and disposal.
Guy Shtotland, Assaf Kolin, Benoit Geslot, Patrick Blaise, Nir Kastin
Nuclear Science and Engineering | Volume 197 | Number 8 | August 2023 | Pages 1733-1742
Technical papers from: PHYSOR 2022 | doi.org/10.1080/00295639.2023.2174761
Articles are hosted by Taylor and Francis Online.
Kinetic neutron parameters are of fundamental importance in the field of nuclear reactor dynamics and control. Moreover, the precursor yield fraction and the neutron generation time for a given nuclear reactor are dependent on the properties of the reactor. Thus, in-pile experiments, such as oscillation experiments and noise experiments, are commonly conducted to measure those values. In this work, a method for determining the kinetic parameters of a reactor along with their covariance data from in-pile experiments is presented. It is performed by combining values of the reactor’s response function obtained from both oscillation and noise experiments over a wide range of frequencies. The method is carried out for the MINERVE zero power reactor (ZPR) using a reanalysis of both oscillation and noise experiments that were conducted in the MINERVE reactor in 2013 and 2014. Moreover, various advantages and disadvantages of performing multiple in-pile experiments and combining their results in order to obtain a single set of kinetic parameters along with their covariance data are considered. Some suggestions for the design of such in-pile experiments are also discussed.