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α-Clustering in atomic nuclei from first principles with statistical learning and the Hoyle state character
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α-Clustering in atomic nuclei from first principles with statistical learning and the Hoyle state character
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Journal Article
α-Clustering in atomic nuclei from first principles with statistical learning and the Hoyle state character
2022
Overview
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.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
