Singular Value Decomposition and Similarity Renormalization Group Evolution of Nuclear Interactions
B. Zhu, R. Wirth, H. Hergert

TL;DR
This paper explores the use of singular value decomposition to factorize nuclear interactions, enabling efficient similarity renormalization group evolution and reducing computational costs in nuclear many-body calculations.
Contribution
It introduces a SVD-based approach to nuclear interactions, demonstrating effective low-rank approximations for SRG evolution while preserving key observables.
Findings
Low-resolution interactions can be accurately represented with low-rank SVD.
A small number of singular components suffices for accurate SRG evolution.
The approach preserves two-nucleon observables and nuclear radii.
Abstract
One of the main challenges for ab initio nuclear many-body theory is the growth of computational and storage costs as calculations are extended to heavy, exotic, and structurally complex nuclei. Here, we investigate the factorization of nuclear interactions as a means to address this issue. We perform Singular Value Decompositions of nucleon-nucleon interactions in partial wave representation and study the dependence of the singular value spectrum on interaction characteristics like regularization scheme and resolution scales. We develop and implement the Similarity Renormalization Group (SRG) evolution of the factorized interaction, and demonstrate that this SVD-SRG approach accurately preserves two-nucleon observables. We find that low-resolution interactions allow the truncation of the SVD at low rank, and that a small number of relevant components is sufficient to capture the…
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