Nambu-Jona-Lasinio description of hadronic matter from a Bayesian approach
K. D. Marquez, Tuhin Malik, Helena Pais, D\'ebora P. Menezes, and Constan\c{c}a Provid\^encia

TL;DR
This paper develops a nuclear matter model based on the Nambu-Jona-Lasinio framework, using Bayesian inference to fit parameters to experimental and observational data, and explores implications for neutron star properties and phase transitions.
Contribution
It introduces a Bayesian approach to constrain a Nambu-Jona-Lasinio based nuclear matter model with astrophysical data, providing new insights into neutron star characteristics.
Findings
Nuclear matter properties are well reproduced with an effective mass of 0.75-0.8 nucleon mass.
Predicted neutron star radii range from 11.48 km to 13.20 km for a 1.4 M_sun star.
Maximum neutron star masses up to ~2.2 M_sun are consistent with constraints.
Abstract
A microscopic nuclear matter formalism with explicit chiral symmetry based on the Nambu Jona-Lasinio model is considered to describe nuclear matter. To reproduce nuclear matter properties adequately at the saturation density, four-point and eight-point interactions are introduced. Within a Bayesian inference approach, the parameters of the model are determined by imposing nuclear matter, both experimental and from {\it ab-initio} calculations, and neutron star observational constraints. Nuclear matter properties are well reproduced with an effective mass of 0.75 to 0.8 nucleon mass at the saturation density. At 90% confidence level, the radius of a star varies between 11.48 km and 13.20 km, masses as large as are predicted and the radius of a 2 M star is above 10.5 km. High-density perturbative QCD (pQCD) results exclude equations of…
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Taxonomy
TopicsHigh-Energy Particle Collisions Research
