Impact of correlations on nuclear binding energies
Alberto Scalesi, Thomas Duguet, Pepijn Demol, Mikael Frosini, Vittorio Som\`a, Alexander Tichai

TL;DR
This paper analyzes how many-body correlations affect nuclear binding energies in Calcium and Chromium isotopes, demonstrating that symmetry-breaking mean-field approaches combined with polynomially-scaling expansion methods improve ab initio calculations for heavy nuclei.
Contribution
It introduces a pedagogical framework showing that symmetry-breaking mean-field states combined with polynomially-scaling expansions effectively incorporate correlations in heavy nuclei.
Findings
Mean-field approximation has limitations in Calcium isotopes.
Breaking rotational symmetry improves binding energy predictions in Chromium isotopes.
Polynomially-scaling expansion methods are optimal for extending ab initio calculations to heavy nuclei.
Abstract
A strong effort will be dedicated in the coming years to extend the reach of ab initio nuclear-structure calculations to heavy doubly open-shell nuclei. In order to do so, the most efficient strategies to incorporate dominant many-body correlations at play in such nuclei must be identified. With this motivation in mind, the present work pedagogically analyses the inclusion of many-body correlations and their impact on binding energies of Calcium and Chromium isotopes. Employing an empirically-optimal Hamiltonian built from chiral effective field theory, binding energies along both isotopic chains are studied via a hierarchy of approximations based on polynomially-scaling expansion many-body methods. The corresponding results are compared to experimental data and to those obtained via valence-space in-medium similarity renormalization group calculations at the normal-ordered two-body…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
