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Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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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.
B. S. Shivashankar, S. Ganesan, H. Naik, S. V. Suryanarayana, N. Sreekumaran Nair, K. Manjunatha Prasad
Nuclear Science and Engineering | Volume 179 | Number 4 | April 2015 | Pages 423-433
Technical Paper | doi.org/10.13182/NSE14-19
Articles are hosted by Taylor and Francis Online.
The 58Ni(n,p)58Co reaction cross sections have been measured relative to two monitors: the cross sections for the formation of the 97Zr fission product in neutron-induced fission of (a) 232Th and of (b) 238U. It is demonstrated how to generate and combine covariance matrices (using partial uncertainties and microcorrelations) in relative measurements at various stages like efficiency calibration of the high-purity germanium detector, using the ratio of 58Ni(n,p)58Co reaction cross section relative to monitor cross section, and in the process of normalization. We further illustrate the weighted averaging of equivalent data as applicable in relative measurements. We provide the necessary data and the corresponding table of partial uncertainties as required for compilation in the EXchange-FORmat (EXFOR) database. This helps, in principle, anyone to generate and verify the steps in the calculation of the covariance matrices in the present work. We believe that it is important for all nuclear experimental scientists to incorporate a detailed data reduction procedure, reduced data, and partial uncertainties in their publications, to the extent possible, which will be very useful in EXFOR compilation.