Improving the predictive power of empirical shell-model Hamiltonians
arXiv:2412.09917 · doi:10.1103/PhysRevC.111.044313
Abstract
We present two developments which enhance the predictive power of empirical shell-model Hamiltonians for cases in which calibration data are sparse. A recent improvement in the ab initio derivation of effective Hamiltonians leads to a much better starting point for the optimization procedure. In addition, we introduce a protocol to avoid overfitting, enabling a more reliable extrapolation beyond available data. These developments will enable more robust predictions for exotic isotopes produced at rare isotope beam facilities and in astrophysical environments.
12 pages, 27 figures
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