Mapping the Cosmos: Unlocking Neutron Star Secrets with Machine Learning
![The analysis of proton fraction ([latex]X_p[/latex]) contributions, delineated between the NL and NL-hyp models as detailed in Table 1, demonstrates how saturation properties disproportionately influence nuclear behavior, suggesting these properties are not merely a detail of the model, but a fundamental aspect of the system being represented.](https://arxiv.org/html/2601.07727v1/Nmps-xp-hyp.png)
Researchers are employing symbolic regression to decipher the complex connections between the fundamental properties of nuclear matter and the observable characteristics of neutron stars.
![The study of neon, magnesium, and silicon isotopes reveals a shift in nuclear structure-from predominantly normal configurations to increasingly complex intruder configurations-correlated with a measurable increase in proton-neutron entanglement entropy as nuclei move beyond the [latex]N=20[/latex] shell closure, suggesting entanglement serves as a key indicator of evolving nuclear behavior.](https://arxiv.org/html/2601.06544v1/x2.png)
![The study of the two-impurity Kondo model examines the Fermi surface of an underlying Anderson metal-specifically, a system where [latex] t^{\prime} = 0.4 [/latex]-to understand the complex interactions arising from localized magnetic moments within a conductive host.](https://arxiv.org/html/2601.07138v1/x1.png)

![The study establishes exclusion limits on the signal strength μ-defined as the ratio of signal to theoretical prediction-across a range of hypothetical dark matter mediator masses ([latex]m_{Z^{\prime}}[/latex]) and dark matter particle masses ([latex]m_{\chi}[/latex]) within a modified Higgs doublet model, demonstrating that parameter combinations yielding larger values of μ are increasingly constrained by observed data, with the 95% confidence level boundary defined by the black solid line and expected boundaries indicated by dashed and dotted lines.](https://arxiv.org/html/2601.06284v1/x11.png)