Finite-range pairing in nuclear density functional theory
Sudhanva Lalit, Paul-Gerhard Reinhard, Kyle Godbey, Witold Nazarewicz
TL;DR
This work addresses ultraviolet divergences and continuum sensitivity in zero-range pairing within nuclear density functional theory by introducing a finite-range, Gaussian-folded pairing functional. The folding yields a fourfold-separable form that remains computationally efficient and is compatible with Skyrme and Fayans energy-density functionals. Through systematic $\chi^2$ calibrations, the authors find optimal folding radii around $0.7$–$0.9$ fm, which improve convergence, suppress pairing isomers, and enhance portability across numerical implementations. They demonstrate in $^{120}$Sn and $^{170}$Yb that finite-range pairing reduces box-size and cutoff dependencies and provides smoother, more reliable behavior in the presence of the continuum, enabling more robust large-scale nuclear-structure calculations.
Abstract
Pairing correlations are ubiquitous in low-energy states of atomic nuclei. To incorporate them within nuclear density functional theory, often used for global computations of nuclear properties, pairing functionals that generate nucleonic pair densities and pairing fields are introduced. Many pairing functionals currently used can be traced back to zero-range nucleon-nucleon interactions. Unfortunately, such functionals are plagued by deficiencies that become apparent in large model spaces that contain unbound single-particle (continuum) states. In particular, the underlying computational schemes diverge as the single-particle space increases, and the results depend on how marginally occupied states are incorporated. These problems become more pronounced for pairing functionals that contain gradient-density dependence, such as in the Fayans functional. To remedy this, finite-range pairing functionals are introduced. In this study, this is done by folding the pair density with Gaussians. We show that a folding radius of about 1\,fm offers the best compromise between quality and stability, and substantially reduces the pathological behavior in different numerical applications.
