Integration of Ab Initio Nuclear Physics Calculations with Optimization Techniques

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Abstract

Optimization techniques are finding their inroads into the field of nuclear physics calculations where the objective functions are very complex and computationally intensive. A vast space of parameters needs searching to obtain a good match between theoretical (computed) and experimental observables, such as energy levels and spectra. In this paper, we propose a design integrating the ab initio nuclear physics code MFDn and the VTDIRECT95 code for derivative-free optimization. We experiment with the initial implementation of the design showing good matches for several single-nucleus cases. For the parallel MFDn code, we determine appropriate processor numbers to execute efficiently a multiple-nuclei parameter search.