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arXiv · 2502.15450

Hypernuclear cluster states of $_\Lambda^{12}\rm{B}$ Unveiled through Neural Network-Driven Microscopic Calculation

Jiaqi Tian·Mengjiao Lyu·Zheng Cheng·Masahiro Isaka·Akinobu Dote·Takayuki Myo·Hisashi Horiuchi·Hiroki Takemoto·Niu Wan·Qing Zhao
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Abstract

We investigate the hypernuclear cluster states of $_\Lambda^{12}\mathrm{B}$ using a neural-network-driven microscopic model. We extend the Control Neural Networks (Ctrl.NN) method and systematically calculate the positive-parity spectrum of $_\Lambda^{12}\mathrm{B}$. By incorporating $sd$-shell excitations and parity-coupling effects into the $_\Lambda^{12}\mathrm{B}$ hypernuclear system, we reveal structural changes, including clustering effects and new configurations such as isosceles-triangle and $\alpha$-$t$-$\alpha$ linear-chain structures. Furthermore, by comparing with experimental data, we identify that many peaks ($\#$6 and $\#$8) can be interpreted as $p_\Lambda$ dominant states, which is consistent with shell-model predictions. Notably, based on our analysis of the excited states of $_\Lambda^{12}\mathrm{B}$, we propose possible candidates for previously unexplained or controversial experimental peaks.

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Jiaqi Tian, Mengjiao Lyu, Zheng Cheng, Masahiro Isaka, Akinobu Dote, Takayuki Myo, Hisashi Horiuchi, Hiroki Takemoto, Niu Wan, Qing Zhao. 2025-02-21. Hypernuclear cluster states of $_\Lambda^{12}\rm{B}$ Unveiled through Neural Network-Driven Microscopic Calculation. https://arxiv.org/abs/2502.15450

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