Microscopic HFB+QRPA predictions of dipole strength for astrophysics applications
By S. Goriely, E. Khan, M. Samyn. 2003
211 citations recorded by the source corpus.
Abstract Large-scale QRPA calculations of the E1-strength are performed on top of HFB calculations in order to derive the radiative neutron capture cross sections for the whole nuclear chart. The HFB + QRPA predictions based on various Skyrme forces with different pairing prescriptions and parameterizations are confronted with experimental photoabsorption data for spherical nuclei. Within the approximations of the present model, the effective nucleon–nucleon interaction is probed with the GDR data. The dipole strengths obtained with the present HFB + QRPA model is finally used to estimate the radiative neutron capture cross section for all nuclei of relevance in astrophysics applications. The resulting rates are shown to be close to the one predicted with the previously determined HFBCS + QRPA model, but for neutron-rich nuclei to differ significantly from the ones obtained with the empirical Lorentzian-like formula.
Subfields: Aerospace Engineering, Nuclear and High Energy Physics, Radiation
View Paper: https://www.semanticscholar.org/paper/69a152c36ecc80115e6c7ec8270645b3b42a26d9
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In Aerospace Engineering
- J. Cowan
- S. Goriely
- C. Sneden
- J. E. Lawler
- G. Mart'inez-Pinedo
- Michael Wiescher
- A. Aprahamian
- A. Koning
In Nuclear and High Energy Physics
- S. Goriely
- G. Mart'inez-Pinedo
- A. Aprahamian
- J. Cowan
- C. Sneden
- K. Langanke
- Stéphane Hilaire
- Friedrich-Karl Thielemann
In Radiation
- J. Cowan
- S. Goriely
- C. Sneden
- J. E. Lawler
- Stéphane Hilaire
- A. Koning
- Michael Wiescher
- Friedrich-Karl Thielemann
Citations in the corpus
- Origin of the heaviest elements: The rapid neutron-capture process (2019, methodology): “model (Goriely and Khan, 2002; Goriely et al., 2004) or based on the relativistic mean field model (Litvinova et al.”
- Improved predictions of nuclear reaction rates with the TALYS reaction code for astrophysical applications (2008, background): “This is true even as new generations of such models are starting to be developed to compete with more phenomenological highly-parameterized models for the reproduction of experimental data (Goriely et al. 2002, 2004, 2007; Hilaire & Goriely 2006).”