Adding ($$\mathcal{α}$$,n) Emission to an Existing Subcritical Benchmark Statistical Uncertainty Method
Conference
·
· Transactions of the American Nuclear Society
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
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