6 papers
A Bayesian Inference of Hybrid Stars with Large Quark Cores
Milena Albino, Tuhin Malik, Márcio Ferreira +1
Neutron stars (NSs) are interesting objects capable of reaching densities unattainable on Earth. The properties of matter under these conditions remain a mystery. Exotic matter, in…
Hybrid Star Properties with NJL and MFTQCD Model: A Bayesian Approach
Milena Albino, Tuhin Malik, Márcio Ferreira +1
The composition of the core of neutron stars (NS) is still under debate. One possibility is that because of the high densities reached in their cores, matter could be deconfined in…
Learning about neutron star composition from the slope of the mass-radius diagram
Márcio Ferreira, Constança Providência
The slope of the neutron star mass-radius curve, , is studied to understand the information it may carry about the composition of neutron stars, particularly with regard to…
Neural Posterior Estimation of Neutron Star Equations of State
Valéria Carvalho, Márcio Ferreira, MichaŠBejger +1
We present a simulation-based inference (SBI) framework to constrain the neutron star (NS) equation of state (EoS) from astrophysical observations of masses, radii and tidal deform…
Detecting Hyperons in neutron stars -- a machine learning approach
Valéria Carvalho, Márcio Ferreira, Constança Providência
We present a neural network classification model for detecting the presence of hyperonic degrees of freedom in neutron stars. The models take radii and/or tidal deformabilities as…
Constraining neutron star matter from the slope of the mass-radius curves
Márcio Ferreira, Constança Providência
We analyse the implications of information about local derivatives from the mass-radius diagram in neutron star matter. It is expected that the next generation of gravitational wav…