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Adding ($$\mathcal{α}$$,n) Emission to an Existing Subcritical Benchmark Statistical Uncertainty Method

Conference · · Transactions of the American Nuclear Society
DOI:https://doi.org/10.13182/t31053· OSTI ID:1914905
Subcritical measurements often use radiation detectors to infer parameters related to the physics of a measured system. One type of subcritical measurements typically performed are called neutron noise measurements. These types of measurements utilize the fact that prompt neutrons are produced from fission immediately after a fission event and are therefore correlated in time. Subcritical benchmarks require evaluation of the statistical and systematic uncertainties of a measurement. Previous work established methods for determining statistical and systematic uncertainties in subcritical benchmarks. The data were analyzed using the Hage-Cifarelli formalism of the Feynman Variance-to-Mean method. The previous work made an assumption that the ($$\mathcal{α}$$,n) emission rate was negligible. This assumption was used because the previous work focused on systems with metal Plutonium. This work extends the existing statistical uncertainty method to include ($$\mathcal{α}$$,n) emissions.
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA), Nuclear Criticality Safety Program (NCSP)
DOE Contract Number:
89233218CNA000001
OSTI ID:
1914905
Report Number(s):
LA-UR-19-31542
Conference Information:
Journal Name: Transactions of the American Nuclear Society Journal Issue: 1 Journal Volume: 121
Country of Publication:
United States
Language:
English