Ab initio symmetry-adapted emulator for studying emergent collectivity and clustering in nuclei

Frontiers in Physics

Physics

K. S. Becker¹  K. D. Launey¹  T. Dytrych²  A. Ekström³ 

[1] Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA, United States;Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA, United States;Nuclear Physics Institute, Academy of Sciences of the Czech Republic, Řež, Czech Republic;Department of Physics, Chalmers University of Technology, Gothenburg, Sweden;

关键词: ab initio;    nuclear collectivity;    nuclear clustering;    eigenvector continuation;    emulators;    6Li;    12C;   

DOI  :  10.3389/fphy.2023.1064601

 received in 2022-10-08, accepted in 2023-01-13,  发布年份 2023

来源: Frontiers

【 摘 要 】

We discuss emulators from the ab initio symmetry-adapted no-core shell-model framework for studying the formation of alpha clustering and collective properties without effective charges. We present a new type of an emulator, one that utilizes the eigenvector continuation technique but is based on the use of symplectic symmetry considerations. This is achieved by using physically relevant degrees of freedom, namely, the symmetry-adapted basis, which exploits the almost perfect symplectic symmetry in nuclei. Specifically, we study excitation energies, point-proton root-mean-square radii, along with electric quadrupole moments and transitions for 6Li and 12C. We show that the set of parameterizations of the chiral potential used to train the emulators has no significant effect on predictions of dominant nuclear features, such as shape and the associated symplectic symmetry, along with cluster formation, but slightly varies details that affect collective quadrupole moments, asymptotic normalization coefficients, and alpha partial widths up to a factor of two. This makes these types of emulators important for further constraining the nuclear force for high-precision nuclear structure and reaction observables.

【 授权许可】

Unknown   
Copyright © 2023 Becker, Launey, Ekström and Dytrych.