Impact of hyperon mixing on neutron star structure based on Skyrme-type equations of state: Systematic analysis of $\Lambda NN$ and $\Lambda\Lambda N$ three-body forces with Bayesisan inference
Abstract
We study hyperonic density-dependent three-body effects in cold neutron-star matter using a Skyrme energy-density-functional framework. In beta-equilibrated matter, the effective and terms are varied separately in the and planes, and each tabulated equation of state is used in Tolman--Oppenheimer--Volkoff calculations. The calculated -- branches are classified by monotonicity and extremum structure. The term does not affect the -onset condition, but modifies the finite- post-onset EOS: increasing generally stiffens the post-onset branch and raises in mechanically admissible regions, whereas increasing reduces this enhancement at fixed . In contrast, the term shifts the -onset density and modifies the post-onset EOS simultaneously, producing organized branch-limited and Maxwell-candidate regions for some reference interactions. Representative two-extrema cases are examined with Maxwell constructions. We also perform an exploratory Bayesian analysis using neutron-star mass--radius information alone and apply XGBoost--SHAP surrogate diagnostics to summarize parameter sensitivities. Within the adopted likelihood and prior ranges, the posterior weight tends to favor sizable hyperonic three-body repulsion, and the SHAP analysis identifies and as important controls of and . These results show that maximum-mass recovery in hyperonic neutron stars is not a single mechanism: maps must be interpreted together with onset behavior, branch admissibility, and extremum-count diagnostics. *shortened due to the arXiv's word limit.
Keywords
Cite
@article{arxiv.2605.28727,
title = {Impact of hyperon mixing on neutron star structure based on Skyrme-type equations of state: Systematic analysis of $\Lambda NN$ and $\Lambda\Lambda N$ three-body forces with Bayesisan inference},
author = {Taeho Lee and Yoonhak Nam and Kazuyuki Sekizawa},
journal= {arXiv preprint arXiv:2605.28727},
year = {2026}
}
Comments
23 pages, 11 figures, 5 tables