Abstract

A long-standing crucial question with atomic nuclei is whether or not α clustering occurs there. An α particle (helium-4 nucleus) comprises two protons and two neutrons, and may be the building block of some nuclei. This is a very beautiful and fascinating idea, and is indeed plausible because the α particle is particularly stable with a large binding energy. However, direct experimental evidence has never been provided. Here, we show whether and how α(-like) objects emerge in atomic nuclei, by means of state-of-the-art quantum many-body simulations formulated from first principles, utilizing supercomputers including K/Fugaku. The obtained physical quantities exhibit agreement with experimental data. The appearance and variation of the α clustering are shown by utilizing density profiles for the nuclei beryllium-8, -10 and carbon-12. With additional insight by statistical learning, an unexpected crossover picture is presented for the Hoyle state, a critical gateway to the birth of life.

Alpha particles are considered the building blocks for some nuclei in alpha-clustering. Here the authors discuss quantum many-body simulations with nucleon-nucleon interaction to characterize the Hoyle state, the first excited 0+ state of the 12C nucleus, and find complexity in its alpha-clustering.

Details

Title
α-Clustering in atomic nuclei from first principles with statistical learning and the Hoyle state character
Author
Otsuka, T 1   VIAFID ORCID Logo  ; Abe, T 2   VIAFID ORCID Logo  ; Yoshida, T 3 ; Tsunoda, Y 4   VIAFID ORCID Logo  ; Shimizu, N 4 ; Itagaki, N 5 ; Utsuno, Y 6   VIAFID ORCID Logo  ; Vary, J 7   VIAFID ORCID Logo  ; Maris, P 7   VIAFID ORCID Logo  ; Ueno, H 8 

 The University of Tokyo, Department of Physics, Bunkyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); RIKEN Nishina Center, Wako, Japan (GRID:grid.474691.9); Japan Atomic Energy Agency, Advanced Science Research Center, Tokai, Japan (GRID:grid.20256.33) (ISNI:0000 0001 0372 1485) 
 RIKEN Nishina Center, Wako, Japan (GRID:grid.474691.9); The University of Tokyo, Center for Nuclear Study, Bunkyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
 The University of Tokyo, Center for Nuclear Study, Bunkyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); Research Organization for Information Science and Technology, Tokai, Japan (GRID:grid.499341.2) 
 The University of Tokyo, Center for Nuclear Study, Bunkyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
 Kyoto University, Yukawa Institute for Theoretical Physics, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033) 
 Japan Atomic Energy Agency, Advanced Science Research Center, Tokai, Japan (GRID:grid.20256.33) (ISNI:0000 0001 0372 1485); The University of Tokyo, Center for Nuclear Study, Bunkyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
 Iowa State University, Department of Physics and Astronomy, Ames, USA (GRID:grid.34421.30) (ISNI:0000 0004 1936 7312) 
 RIKEN Nishina Center, Wako, Japan (GRID:grid.474691.9) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2655924861
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.