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Nuclear Engineering

Air Force Institute of Technology

Isotopes

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Full-Text Articles in Engineering

Developments In Capture- Γ Libraries For Nonproliferation Applications, A. M. Hurst, R. B. Firestone, B. W. Sleaford, D. L. Bleuel, M. S. Basunia, F. Becvar, T. Belgya, L. A. Bernstein, J. J. Carroll, B. Detwiler, J. E. Escher, C. Genreith, B. L. Goldblum, M. Krticka, A. G. Lerch, David A. Matters, John W. Mcclory, Stephen R. Mchale, Zs. Revay, L. Szentmiklosi, D. Turkoglu, A. Ureche, J. Vulic Jan 2017

Developments In Capture- Γ Libraries For Nonproliferation Applications, A. M. Hurst, R. B. Firestone, B. W. Sleaford, D. L. Bleuel, M. S. Basunia, F. Becvar, T. Belgya, L. A. Bernstein, J. J. Carroll, B. Detwiler, J. E. Escher, C. Genreith, B. L. Goldblum, M. Krticka, A. G. Lerch, David A. Matters, John W. Mcclory, Stephen R. Mchale, Zs. Revay, L. Szentmiklosi, D. Turkoglu, A. Ureche, J. Vulic

Faculty Publications

The neutron-capture reaction is fundamental for identifying and analyzing the γ-ray spectrum from an unknown assembly because it provides unambiguous information on the neutron-absorbing isotopes. Nondestructive-assay applications may exploit this phenomenon passively, for example, in the presence of spontaneous-fission neutrons, or actively where an external neutron source is used as a probe. There are known gaps in the Evaluated Nuclear Data File libraries corresponding to neutron-capture γ-ray data that otherwise limit transport-modeling applications. In this work, we describe how new thermal neutron-capture data are being used to improve information in the neutron-data libraries for isotopes relevant to nonproliferation applications. We …


Discrete Counting Of Short Lived Isotopes With Low Background Detectors, David E. Mather Mar 2008

Discrete Counting Of Short Lived Isotopes With Low Background Detectors, David E. Mather

Theses and Dissertations

We consider radiation counting experiments used to measure quantities of materials that are short-lived with respect to the count durations. The HPS 13.31 statistical analysis seriously overestimates the uncertainty when the quantity and background are very low. We consider the case in which the objective is to quantify the number of atoms, n, that were present in a sample when it was drawn. Mathews and Gerts [JRNC, 2008] analyzed this case and developed formulas for the probability distribution of n, in order to develop experiment design processes that minimize the smallest detectable quantity of material, thus maximizing sensitivity for the …