Hypernuclear cluster states of BΛ12 unveiled through neural network-driven microscopic calculation

Hypernuclear cluster states of BΛ12 unveiled through neural network-driven microscopic calculation

We investigate the hypernuclear cluster states of BΛ12 using a neural-network-driven microscopic model. We extend the Control Neural Networks (Ctrl.NN) method and systematically calculate the positive-parity spectrum of BΛ12. By incorporating sd-shell excitations and parity-coupling effects into the...

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Bibliographic Details
Main Authors: Jiaqi Tian, Mengjiao Lyu, Zheng Cheng, Masahiro Isaka, Akinobu Doté, Takayuki Myo, Hisashi Horiuchi, Hiroki Takemoto, Niu Wan, Qing Zhao
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Physics Letters B
Online Access:http://www.sciencedirect.com/science/article/pii/S037026932500098X
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Summary:We investigate the hypernuclear cluster states of BΛ12 using a neural-network-driven microscopic model. We extend the Control Neural Networks (Ctrl.NN) method and systematically calculate the positive-parity spectrum of BΛ12. By incorporating sd-shell excitations and parity-coupling effects into the BΛ12 hypernuclear system, we reveal structural changes, including clustering effects and new configurations such as isosceles-triangle and α-t-α linear-chain structures. Furthermore, by comparing with experimental data, we identify that many peaks (#6 and #8) can be interpreted as pΛ dominant states, which is consistent with shell-model predictions. Notably, based on our analysis of the excited states of BΛ12, we propose possible candidates for previously unexplained or controversial experimental peaks.
ISSN:0370-2693

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