English

Elucidating the finite temperature quasiparticle random phase approximation

Nuclear Theory 2022-09-22 v1

Abstract

In numerous astrophysical scenarios, such as core-collapse supernovae and neutron star mergers, as in well as heavy-ion collision experiments, transitions between thermally populated nuclear excited states have been shown to play an important role. Due to its simplicity and excellent extrapolation ability, the finite-temperature quasiparticle random phase approximation (FT-QRPA) presents itself as an efficient method to study the properties of hot nuclei. The statistical ensembles in the FT-QRPA make the theory much richer than its zero-temperature counterpart, but also obscure the meaning of various physical quantities. In this work, we clarify several aspects of the FT-QRPA, including notations seen in the literature, and demonstrate how to extract physical quantities from the theory. To exemplify the correct treatment of finite-temperature transitions, we place special emphasis on the charge-exchange transitions described within the proton-neutron FT-QRPA (FT-PNQRPA). With the FT-PNQRPA built on the nuclear energy-density functional theory, we obtain solutions using a relativistic matrix approach and also the non-relativistic finite amplitude method. We show that the Ikeda sum rule is fulfilled with the proper treatment of de-excitations from thermally populated excited states. Additionally, we demonstrate the impact of these transitions on stellar electron capture (EC) rates in 58,78{}^{58,78}Ni. While their inclusion does not influence the EC rates in 58{}^{58}Ni, the rates in 78{}^{78}Ni are dominated by de-excitations for temperatures T>0.5T > 0.5 MeV. In systems with a large negative QQ-value, the inclusion of de-excitations within the FT-QRPA is necessary for a complete description of reaction rates at finite temperature.

Keywords

Cite

@article{arxiv.2209.10009,
  title  = {Elucidating the finite temperature quasiparticle random phase approximation},
  author = {E. M. Ney and A. Ravlić and J. Engel and N. Paar},
  journal= {arXiv preprint arXiv:2209.10009},
  year   = {2022}
}

Comments

19 pages, 4 figures, submitted for publication

R2 v1 2026-06-28T01:46:35.088Z