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基于统计学习和霍伊尔态特征从第一性原理研究原子核中的α 聚类

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

作者信息

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

机构信息

Department of Physics, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, 113-0033, Japan.

RIKEN Nishina Center, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.

出版信息

Nat Commun. 2022 Apr 27;13(1):2234. doi: 10.1038/s41467-022-29582-0.

DOI:10.1038/s41467-022-29582-0
PMID:35477704
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9046222/
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.

摘要

原子核长期以来的一个关键问题是那里是否发生α团簇现象。α粒子(氦-4原子核)由两个质子和两个中子组成,可能是一些原子核的组成单元。这是一个非常美妙且引人入胜的想法,而且确实有其合理性,因为α粒子具有特别大的结合能,因而特别稳定。然而,从未有过直接的实验证据。在此,我们借助基于第一性原理构建的、利用包括K/Fugaku在内的超级计算机进行的最先进的量子多体模拟,展示了α(类)物体在原子核中是否出现以及如何出现。所获得的物理量与实验数据相符。通过利用铍-8、-10和碳-12原子核的密度分布,展示了α团簇的出现和变化。通过统计学习的进一步深入分析,呈现了关于霍伊尔态(生命诞生的关键通道)的一幅意想不到的交叉图景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/28661b898f75/41467_2022_29582_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/4d2ebb2fadf8/41467_2022_29582_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/0db9c9abf259/41467_2022_29582_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/2ff1102b9f60/41467_2022_29582_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/c8ecf7fba0b7/41467_2022_29582_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/73337711dcd1/41467_2022_29582_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/28661b898f75/41467_2022_29582_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/4d2ebb2fadf8/41467_2022_29582_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/0db9c9abf259/41467_2022_29582_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/2ff1102b9f60/41467_2022_29582_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/c8ecf7fba0b7/41467_2022_29582_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/73337711dcd1/41467_2022_29582_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb11/9046222/28661b898f75/41467_2022_29582_Fig6_HTML.jpg

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