控制神经网络揭示三α呼吸模式的证据

IF 4.3 2区物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS

Physics Letters B Pub Date : 2025-03-14 DOI:10.1016/j.physletb.2025.139397

Zheng Cheng , Mengjiao Lyu , Takayuki Myo , Hisashi Horiuchi , Hiroshi Toki , Zhongzhou Ren , Masahiro Isaka , Mengyun Mao , Hiroki Takemoto , Niu Wan , Wenlong You , Qing Zhao

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引用次数: 0

摘要

本文介绍了一种新的控制神经网络（Ctrl.NN）方法来揭示奇异量子态的证据，即12C核3-α共振态的呼吸模式。我们为12C能谱提供了迄今为止最精确的微观描述，确定了两种新的奇异呼吸状态，并发现了直接将最近的实验观察与呼吸模式联系起来的有力证据。Ctrl。神经网络方法极大地简化了多约束下量子系统的数值计算，为核多体问题的求解提供了新的视角。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evidence for three-α breathing modes uncovered by control neural network

This work introduces a new Control Neural Network (Ctrl.NN) method to uncover evidence of exotic quantum state, i.e., the breathing modes in 3-α resonant states of ¹²C nucleus. We provide the most precise microscopic description to date for the ¹²C energy spectrum, identify two new exotic breathing states, and uncover strong evidence that directly connects the recent experimental observations to the breathing modes. The Ctrl.NN method significantly simplifies numerical calculations of quantum systems under multiple constraints and offers a new perspective for solving the nuclear many-body problem.

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来源期刊

Physics Letters B 物理-物理：综合

CiteScore

9.10

自引率

6.80%

发文量

647

审稿时长

3 months

期刊介绍： Physics Letters B ensures the rapid publication of important new results in particle physics, nuclear physics and cosmology. Specialized editors are responsible for contributions in experimental nuclear physics, theoretical nuclear physics, experimental high-energy physics, theoretical high-energy physics, and astrophysics.