Reliable nuclear data with quantified uncertainties are essential for basic and applied science. When measurements are not possible, evaluators rely on systematics, theory predictions, and indirect observables. This is particularly relevant for applications involving reactions with short-lived nuclei, such as simulations undertaken to understand stellar evolution and the synthesis of the...
Nuclear applications such nonproliferation, post-detonation forensics, spent-fuel assay, reactor burnup and design, as well as astrophysics, rely on the accurate description of the neutron interaction with unstable fission products. However, current cross-section descriptions of these nuclei are either non-existent or based on simplified assumptions, leading to unquantified impacts on...
