Literature DB >> 33149291

The impact of nuclear shape on the emergence of the neutron dripline.

Naofumi Tsunoda1, Takaharu Otsuka2,3,4,5, Kazuo Takayanagi6, Noritaka Shimizu1, Toshio Suzuki7,8, Yutaka Utsuno1,9, Sota Yoshida10, Hideki Ueno11.   

Abstract

Atomic nuclei are composed of a certain number of protons Z and neutrons N. A natural question is how large Z and N can be. The study of superheavy elements explores the large Z limit1,2, and we are still looking for a comprehensive theoretical explanation of the largest possible N for a given Z-the existence limit for the neutron-rich isotopes of a given atomic species, known as the neutron dripline3. The neutron dripline of oxygen (Z = 8) can be understood theoretically as the result of single nucleons filling single-particle orbits confined by a mean potential, and experiments confirm this interpretation. However, recent experiments on heavier elements are at odds with this description. Here we show that the neutron dripline from fluorine (Z = 9) to magnesium (Z = 12) can be predicted using a mechanism that goes beyond the single-particle picture: as the number of neutrons increases, the nuclear shape assumes an increasingly ellipsoidal deformation, leading to a higher binding energy. The saturation of this effect (when the nucleus cannot be further deformed) yields the neutron dripline: beyond this maximum N, the isotope is unbound and further neutrons 'drip' out when added. Our calculations are based on a recently developed effective nucleon-nucleon interaction4, for which large-scale eigenvalue problems are solved using configuration-interaction simulations. The results obtained show good agreement with experiments, even for excitation energies of low-lying states, up to the nucleus of magnesium-40 (which has 28 neutrons). The proposed mechanism for the formation of the neutron dripline has the potential to stimulate further thinking in the field towards explaining nucleosynthesis with neutron-rich nuclei.

Entities:  

Year:  2020        PMID: 33149291     DOI: 10.1038/s41586-020-2848-x

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  1 in total

1.  α-Clustering in atomic nuclei from first principles with statistical learning and the Hoyle state character.

Authors:  T Otsuka; T Abe; T Yoshida; Y Tsunoda; N Shimizu; N Itagaki; Y Utsuno; J Vary; P Maris; H Ueno
Journal:  Nat Commun       Date:  2022-04-27       Impact factor: 17.694

  1 in total

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