Large-scale deformed quasiparticle random-phase approximation calculations of the $\gamma$-ray strength function using the Gogny force
M. Martini, S. P\'eru, S. Hilaire, S. Goriely, F. Lechaftois

TL;DR
This paper presents large-scale, self-consistent QRPA calculations of the E1 gamma-ray strength function across the nuclear chart using the Gogny force, comparing two parameter sets and incorporating phenomenological corrections for better experimental agreement.
Contribution
It introduces a comprehensive QRPA framework with Gogny interactions for predicting gamma-ray strength functions, including systematic analysis and phenomenological adjustments.
Findings
Gogny-QRPA overestimates giant dipole energies by about 2 MeV.
Energy shift observed between D1S and D1M interactions affects strength distribution.
Phenomenological folding procedures improve agreement with experimental photoabsorption data.
Abstract
Valuable theoretical predictions of nuclear dipole excitations in the whole chart are of great interest for different nuclear applications, including in particular nuclear astrophysics. Here we present large-scale calculations of the -ray strength function obtained in the framework of the axially-symmetric deformed QRPA based on the finite-range Gogny force. This approach is applied to even-even nuclei, the strength function for odd nuclei being derived by interpolation. The convergence with respect to the adopted number of harmonic oscillator shells and the cut-off energy introduced in the 2-quasiparticle (2-) excitation space is analyzed. The calculations performed with two different Gogny interactions, namely D1S and D1M, are compared. A systematic energy shift of the strength is found for D1M relative to D1S, leading to a lower energy centroid and a smaller…
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.
