Feasibility of dark matter admixed neutron star based on recent observational constraints
Prashant Thakur, Tuhin Malik, Arpan Das, T. K. Jha, B. K. Sharma, Constan\c{c}a Provid\^encia

TL;DR
This study assesses the plausibility of dark matter admixed neutron stars using Bayesian analysis and recent observational constraints, finding dark matter components less favored and highlighting the importance of EOS stiffness and mode sensitivities.
Contribution
It introduces a Bayesian framework to evaluate dark matter effects on neutron star properties considering recent observational data and experimental constraints.
Findings
Models excluding PREX-II data are more consistent with constraints.
Dark matter admixed neutron stars are less favored by observational data.
$f$ modes are sensitive indicators of the EOS.
Abstract
The equation of state (EOS) for neutron stars is modeled using the Relativistic Mean Field (RMF) approach with a mesonic nonlinear (NL) interaction, a modified sigma cut potential (NL- cut), and the influences of dark matter in the NL (NL DM). Using a Bayesian analysis framework, we evaluate the plausibility and impact of each scenario. Experimental constraints on the general properties of finite nuclei and heavy ion collisions, along with astrophysical observational data on neutron star radii and tidal deformation, have been taken into account. It was shown that all models, including the PREX-II data, were less favored, indicating that this experimental data seemed to be in tension with the other constraints included in the inference procedure, and were incompatible with chiral effective field theoretical calculations of pure neutron matter. Considering the models with no…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Geophysics and Gravity Measurements · Adaptive optics and wavefront sensing
