Verifying the improved systematic predictions of β-delayed neutron emission and β+-delayed proton emission probabilities

The probability P_n for emitting a neutron following β decay is important for improving how we use nuclear reactors and for our understanding of astrophysics, and nuclear structure. However, many of these values are unknown and since they are crucial in many nuclear physics applications, systematics and phenomenological formulas, like the Kratz-Herrmann formula (KHF), have been used to calculate P_n. By incorporating the half-life for a given nuclide we can improve on the KHF. To explore this improvement, I developed a modular set of Python codes that use newly evaluated half-life, T_1/2 and P_n data for the entire chart of nuclides. After parsing and cleaning the data, I graphed correlation plots to improve the systematic prediction of the delayed neutron probabilities for various regions of the chart. I will be presenting the results of the systematics, as well as, the extended investigation for β-delayed proton emitters, and how the evaluations made for β decay to find more accurate P_n values can be implemented similarly for β-delayed proton emitters.