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.




