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

T. Otsuka, T. Abe, T. Yoshida, Y. Tsunoda, N. Shimizu, N. Itagaki, Y. Utsuno, J. Vary, P. Maris, H. Ueno

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

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.

Original languageEnglish
Article number2234
JournalNature Communications
Volume13
Issue number1
DOIs
StatePublished - Dec 2022
Externally publishedYes

Fingerprint

Dive into the research topics of 'α-Clustering in atomic nuclei from first principles with statistical learning and the Hoyle state character'. Together they form a unique fingerprint.

Cite this