204 citations · 1.1k across the 45 of their papers we have counts for
45 papers
NS-UNO: Neutron Star EoS Inference from an Unconstrained Number of Observations
Valéria Carvalho, Márcio Ferreira, Michał Bejger +1
Future multimessenger observations of neutron stars (NS) are expected to substantially increase both the number and precision of astrophysical constraints on the equation of state…
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…
Neural Posterior Estimation of Neutron Star Equations of State
Valéria Carvalho, Márcio Ferreira, Michał Bejger +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…
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…
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…
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…
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…
Detecting the third family of compact stars with normalizing flows
Valéria Carvalho, Márcio Ferreira, Constança Providência +1
We explore the anomaly detection framework based on Normalizing Flows (NF) models introduced in \cite{PhysRevC.106.065802} to detect the presence of a large (destabilising) dense m…
From NS observations to nuclear matter properties: a machine learning approach
Valéria Carvalho, Márcio Ferreira, Constança Providência
This study is devoted to the inference problem of extracting the nuclear matter properties directly from a set of mass-radius observations. We employ Bayesian neural networks (BNNs…
Neutron star equation of state: identifying hadronic matter characteristics
Constança Providência, Tuhin Malik, Milena Bastos Albino +1
The general behavior of the nuclear equation of state (EOS), relevant for the description of neutron stars (NS), is studied within a relativistic mean field description of nuclear…
Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks
Valéria Carvalho, Márcio Ferreira, Tuhin Malik +1
We exploit the great potential offered by Bayesian Neural Networks (BNNs) to directly decipher the internal composition of neutron stars (NSs) based on their macroscopic properties…
Hybrid stars with large strange quark cores
Márcio Ferreira, Renan Câmara Pereira, Constança Providência
The possible existence of hybrid stars is studied using several multi-quark interaction channels. The hadronic phase consists of an equation of state (EoS) with presently accepted…
Machine-Learning Love: classifying the equation of state of neutron stars with Transformers
Gonçalo Gonçalves, Márcio Ferreira, João Aveiro +4
The use of the Audio Spectrogram Transformer (AST) model for gravitational-wave data analysis is investigated. The AST machine-learning model is a convolution-free classifier that…
Extracting nuclear matter properties from the neutron star matter equation of state using deep neural networks
Márcio Ferreira, Valéria Carvalho, Constança Providência
The extraction of the nuclear matter properties from neutron star (NS) observations is nowadays an important issue, in particular, the properties that characterize the symmetry ene…
Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection
João Aveiro, Felipe F. Freitas, Márcio Ferreira +4
We demonstrate the application of the YOLOv5 model, a general purpose convolution-based single-shot object detection model, in the task of detecting binary neutron star (BNS) coale…
Relativistic description of dense matter equation of state and compatibility with neutron star observables: a Bayesian approach
Tuhin Malik, Márcio Ferreira, B. K. Agrawal +1
The general behavior of the nuclear equation of state (EOS), relevant for the description of neutron stars (NS), is studied within a Bayesian approach applied to a set of models ba…
Determination of the symmetry energy from the neutron star equation of state
Pedro Barata de Tovar, Márcio Ferreira, Constança Providência
We analyze the uncertainties introduced in the determination of the neutron star matter proton fraction, in a range of densities close to the saturation density, if the cold -eq…
Hybrid stars from a constrained equation of state
Márcio Ferreira, Renan Câmara Pereira, Constança Providência
We determine, within a meta-model, the properties of the nuclear matter equation of state (EoS) that allow for a phase transition to deconfinement matter. It is shown that the prop…
Constraints on high density equation of state from maximum neutron star mass
Márcio Ferreira, Constança Providência
The low density nuclear matter equation of state is strongly constrained by nuclear properties, however, for constraining the high density equation of state it is necessary to reso…
Crust-core transition of a neutron star: effect of the temperature under strong magnetic fields
Márcio Ferreira, Aziz Rabhi, Constança Providência
The effect of temperature on the crust-core transition of a magnetar is studied. The thermodynamical spinodals are used to calculate the transition region within a relativistic mea…
Hybrid stars with large strange quark cores constrained by GW170817
Márcio Ferreira, Renan Câmara Pereira, Constança Providência
We analyze the impact of several multi-quark interaction channels on the properties of hybrid stars. Four and eight vector interactions were included in the NJL model to de…
Effect of the crust on neutron star empirical relations
Márcio Ferreira, Constança Providência
We analyze how the crust equation of state affects several neutron star properties and how it impacts on possible constraints inferred from astrophysical observations. Using three…
Quark matter in light neutron stars
Márcio Ferreira, Renan Câmara Pereira, Constança Providência
Higher-order repulsive interactions are included in the three-flavor NJL model in order to describe the quark phase of an hybrid star. The effect of 4-quark and 8-quark vector-isos…
Neutron stars with large quark cores
Márcio Ferreira, Renan Câmara Pereira, Constança Providência
We describe charge-neutral neutron star matter in equilibrium using hybrid equations of state, where a first-order phase transition from hadronic to quark matter is realized. T…