Data-guided coalescence model for production of light nuclei and hypernuclei in relativistic heavy-ion collisions at √𝑠𝑁𝑁 = 3-200GeV
The production of light hypernuclei in relativistic heavy-ion collisions provides a unique opportunity to probe hyperon-nucleon interactions and possible three-body forces, which are central to the resolution of the hyperon puzzle in neutron star matter. In this work, we develop a data-guided coales...
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| Auteurs principaux: | , , |
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| Format: | Article (Journal) |
| Langue: | anglais |
| Publié: |
13 March, 2026
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| In: |
Physical review
Year: 2026, Volume: 113, Numéro: 3, Pages: 1-19 |
| ISSN: | 2469-9993 |
| DOI: | 10.1103/9m2b-99x4 |
| Accès en ligne: | Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1103/9m2b-99x4 Verlag, lizenzpflichtig, Volltext: https://link.aps.org/doi/10.1103/9m2b-99x4 
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| Notes sur l'auteur: | Yue Hang Leung, Yingjie Zhou, and Norbert Herrmann |
| Résumé: | The production of light hypernuclei in relativistic heavy-ion collisions provides a unique opportunity to probe hyperon-nucleon interactions and possible three-body forces, which are central to the resolution of the hyperon puzzle in neutron star matter. In this work, we develop a data-guided coalescence framework in which the source size is extracted from proton and deuteron yields and used, together with measured proton and Λ spectra, to predict the production of 𝐴=3 nuclei (𝑡,3He) and hypernuclei (3ΛH) in √𝑠𝑁𝑁=3-200GeV Au+Au collisions. For tritons, calculations with a Gaussian wave function reproduce experimental spectra and yield ratios across this energy range. For the hypertriton, the model predictions are highly sensitive to the assumed wave function. This sensitivity is strongest at low collision energies and in low-multiplicity environments, implying that such conditions are particularly valuable for probing hypernuclear structure. |
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| Description: | Im Titel steht sNN unter dem Wurzelsymbol, NN ist dabei tiefgestellt Gesehen am 02.06.2026 |
| Description matérielle: | Online Resource |
| ISSN: | 2469-9993 |
| DOI: | 10.1103/9m2b-99x4 |