### Uncertainty quantification in (α,n) neutron source calculations for an oxide matrix

^{17,18}O( α,n) reaction cross sections and 2) uranium and oxygen stopping power cross sections. The procedure to generate reaction cross section covariance information is based on the Bayesian fitting method implemented in the R-matrix SAMMY code. The evaluation methodology uses the Reich-Moore approximation to fit the

^{17,18}O(α,n) reaction cross-sections in order to derive a set of resonance parameters and a related covariance matrix that is then used to calculate the energydependent cross section covariance matrix. The stopping power cross sections and related covariance information for uranium and oxygen were obtained by the fit of stopping power data in the -energy range of 1 keV up to 12 MeV. Cross section perturbation factors based on the covariance information relative to the evaluated

^{17,18}O( α,n) reaction cross sections, as well as uranium and oxygen stopping power cross sections, were used to generate a varied set of nuclear data libraries used in SOURCES4C and ORIGEN for inventory and source term calculations. Themore »

- Publication Date:

- OSTI Identifier:
- 1328282

- Grant/Contract Number:
- AC05-00OR22725

- Type:
- Accepted Manuscript

- Journal Name:
- Progress in Nuclear Energy

- Additional Journal Information:
- Journal Volume: 91; Journal Issue: C; Journal ID: ISSN 0149-1970

- Publisher:
- Elsevier

- Research Org:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

- Sponsoring Org:
- USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)

- Country of Publication:
- United States

- Language:
- English

- Subject:
- 11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS nuclear data; R-matrix theory; covariance data; neutron source