Establishing connection between neutron star properties and nuclear matter parameters through a comprehensive multivariate analysis
N. K. Patra, Prafulla Saxena, B. K. Agrawal, T. K. Jha

TL;DR
This study uses multivariate analysis to connect neutron star properties with nuclear matter parameters, revealing the importance of multiple principal components and the decreasing influence of isovector parameters with increasing neutron star mass.
Contribution
It introduces a comprehensive multivariate approach, including PCA, to better understand the relationship between neutron star observables and nuclear matter parameters across different densities.
Findings
Over 90% of NS property variability explained by multiple principal components.
Tidal deformability requires more principal components than radius for the same NS mass.
Contribution of isovector parameters decreases as NS mass increases from 1.2 to 1.8 solar masses.
Abstract
We have attempted to mitigate the challenge of connecting the neutron star (NS) properties with the nuclear matter parameters that describe equations of state (EoSs). The efforts to correlate various neutron star properties with individual nuclear matter parameters have been inconclusive. A Principal Component Analysis is employed as a tool to uncover the connection between multiple nuclear matter parameters and the tidal deformability as well as the radius of neutron stars within the mass range of . The essential EOSs for neutron star matter at low densities have been derived using both uncorrelated uniform distributions and minimally constrained joint posterior distributions of nuclear matter parameters. For higher densities (fm), the EOSs have been established through a suitable parameterization of the speed of sound, which consistently maintains…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Geological and Geophysical Studies · Gamma-ray bursts and supernovae
