Artificial intelligence (AI) is transforming not only our daily experiences but also the technological development landscape and scientific research. In this study, we pioneered the application of AI in double-strangeness hypernuclear studies. Studies that investigate quantum systems with strangeness via hyperon interactions provide insights into fundamental baryon-baryon interactions and contribute to our understanding of the nuclear force and composition of neutron star cores. Specifically, we report the observation of a double-Λ hypernucleus in nuclear emulsion achieved via innovative integration of machine learning techniques. The proposed methodology leverages generative AI and Monte Carlo simulations to produce training datasets combined with object detection AI for effective event identification. Based on the kinematic analysis and charge identification, the observed event was uniquely identified as the production and decay of <InlineEquation ID="IEq1"> <EquationSource Format="TEX">${13\atop \Lambda \Lambda }{{\rm{B}}}$</EquationSource> <EquationSource Format="MATHML"><math> <mfrac linethickness="0"> <mrow> <mn>13</mn> </mrow> <mrow> <mi mathvariant="normal">Λ</mi> <mi mathvariant="normal">Λ</mi> </mrow> </mfrac> <mi mathvariant="normal">B</mi> </math></EquationSource> </InlineEquation>, resulting from Ξ− capture by 14N in the nuclear emulsion. Assuming Ξ− capture in the atomic 3D state, the binding energy of the two Λ hyperons in <InlineEquation ID="IEq2"> <EquationSource Format="TEX">${13\atop \Lambda \Lambda }{{\rm{B}}}$</EquationSource> <EquationSource Format="MATHML"><math> <mfrac linethickness="0"> <mrow> <mn>13</mn> </mrow> <mrow> <mi mathvariant="normal">Λ</mi> <mi mathvariant="normal">Λ</mi> </mrow> </mfrac> <mi mathvariant="normal">B</mi> </math></EquationSource> </InlineEquation>, BΛΛ, was determined as 25.57 ± 1.18(stat.) ± 0.07(syst. ) MeV. The ΛΛ interaction energy ΔBΛΛ obtained was 2.83 ± 1.18(stat.) ± 0.14(syst. ) MeV.

Artificial intelligence pioneers the double-strangeness factory

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2025年11月22日

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Yan He,
Takehiko R. Saito,
Hiroyuki Ekawa,
Ayumi Kasagi,
Yiming Gao,
Enqiang Liu,
Kazuma Nakazawa,
Christophe Rappold,
Masato Taki,
Yoshiki K. Tanaka,
He Wang,
Ayari Yanai,
Junya Yoshida,
Hongfei Zhang

摘要

Artificial intelligence (AI) is transforming not only our daily experiences but also the technological development landscape and scientific research. In this study, we pioneered the application of AI in double-strangeness hypernuclear studies. Studies that investigate quantum systems with strangeness via hyperon interactions provide insights into fundamental baryon-baryon interactions and contribute to our understanding of the nuclear force and composition of neutron star cores. Specifically, we report the observation of a double-Λ hypernucleus in nuclear emulsion achieved via innovative integration of machine learning techniques. The proposed methodology leverages generative AI and Monte Carlo simulations to produce training datasets combined with object detection AI for effective event identification. Based on the kinematic analysis and charge identification, the observed event was uniquely identified as the production and decay of ${13\atop \Lambda \Lambda }{{\rm{B}}}$ $\binom{13}{Λ Λ} B$ , resulting from Ξ⁻ capture by ¹⁴N in the nuclear emulsion. Assuming Ξ⁻ capture in the atomic 3D state, the binding energy of the two Λ hyperons in ${13\atop \Lambda \Lambda }{{\rm{B}}}$ $\binom{13}{Λ Λ} B$ , B_ΛΛ, was determined as 25.57 ± 1.18(stat.) ± 0.07(syst. ) MeV. The ΛΛ interaction energy ΔB_ΛΛ obtained was 2.83 ± 1.18(stat.) ± 0.14(syst. ) MeV.