Improving nuclear data evaluations with predictive reaction theory and indirect measurements
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Univ. of Colorado, Denver, CO (United States)
- Brookhaven National Laboratory (BNL), Upton, NY (United States)
- San Diego State Univ., CA (United States)
- Alternative Energies and Atomic Energy Commission (CEA/DAM/DIF) (France)
- Univ. of Tennessee, Knoxville, TN (United States)
- Univ. of Illinois at Urbana-Champaign, IL (United States)
Nuclear reaction data required for astrophysics and applications is incomplete, as not all nuclear reactions can be measured or reliably predicted. Neutron-induced reactions involving unstable targets are particularly challenging, but often critical for simulations. In response to this need, indirect approaches, such as the surrogate reaction method, have been developed. Nuclear theory is key to extract reliable cross sections from such indirect measurements. We describe ongoing efforts to expand the theoretical capabilities that enable surrogate reaction measurements. We focus on microscopic predictions for charged-particle inelastic scattering, uncertainty-quantified optical nucleon-nucleus models, and neural-network enhanced parameter inference.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC52-07NA27344
- OSTI ID:
- 2204116
- Report Number(s):
- LLNL--JRNL-841573; 1063368
- Journal Information:
- EPJ Web of Conferences (Online), Journal Name: EPJ Web of Conferences (Online) Vol. 284; ISSN 2100-014X
- Publisher:
- EDP SciencesCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Neutron-capture Cross Sections from Indirect Measurements
The Surrogate Method - An Indirect Approach to Compound-Nucleus Reactions