activity
20232026
most citedA Bayesian study of quark models in view of recent astrophysical constraints

16 citations · 33 across the 12 of their papers we have counts for

collaborators

12 papers

astro-ph.HE2026

A self-consistent single-fluid framework for neutron stars admixed with mirror dark matter

Adamu Issifu, Constança Providência, Franciele M. da Silva +2

We develop a self-consistent dark matter admix neutron star framework based on a contact vector current--current interaction that couples the chemical potentials of both sectors th…

astro-ph.HE2025

Dark Matter Heating in Evolving Proto-Neutron Stars: A Two-Fluid Approach

Adamu Issifu, Prashant Thakur, Davood Rafiei Karkevandi +4

Neutron stars (NSs) provide a unique laboratory to probe dark matter (DM) through its gravitational imprint on stellar evolution. We use a two-fluid framework with non-annihilating…

astro-ph.HE2025

Hyperons and 's in rotating protoneutron stars: Local properties

Franciele M. da Silva, Adamu Issifu, Luis C. N. Santos +2

The structural evolution of rotating protoneutron stars encodes essential information about their observable signatures, while microscopic properties provide complementary knowledg…

astro-ph.HE2025

Proto-neutron Stars with Dark Matter Admixture: A Single-Fluid Approach

Adamu Issifu, Débora P. Menezes, Tobias Frederico

This work investigates the impact of dark matter (DM) on the microscopic and macroscopic properties of proto-neutron stars (PNSs). We employ a single-fluid framework in which DM in…

hep-ph2025★ 7 cited

Hyperons and 's in rotating protoneutron stars: Global properties

Franciele M. da Silva, Adamu Issifu, Luis C. N. Santos +2

Rotation plays an important role in the evolution of most types of stars, in particular, it can have a strong influence on the evolution of a newly born proto-neutron star. In this…

hep-ph2024★ 2 cited

Supernova Remnants with Mirror Dark Matter and Hyperons

Adamu Issifu, Prashant Thakur, Franciele M. da Silva +5

For the first time, we use relativistic mean-field (RMF) approximation with density-dependent couplings, adjusted by the DDME2 parameterization, to investigate the effects of dark…

nucl-th2024

Strongly Interacting Quark Matter in Massive Quark Stars

Adamu Issifu, Franciele M. da Silva, Luis C. N. Santos +2

This paper investigates the properties of strongly coupled matter at high baryon densities (\(ρ_B\)) in quark stars (QSs). The QS model is based on the density-dependent quark mass…

astro-ph.HE2024

Constraining the Generalized Tolman-Oppenheimer-Volkoff (GTOV) equation with Bayesian analysis

Franciele M. da Silva, Fábio Köpp, Marcelo D. Alloy +4

In this work, we constrain the values of the parameters of the Generalized Tolman-Oppenheimer-Volkoff (GTOV) equation through Bayesian inference. We use the mass and radius data fr…

nucl-th2024

Proto-neutron stars with quark cores

Adamu Issifu, Débora P. Menezes, Zeinab Rezaei +1

This work investigates the evolution of proto-neutron stars (PNSs) from birth as neutrino-rich objects to maturity as cold-catalyzed neutrino-poor objects with nucleonic and non-nu…

nucl-th2023★ 1 cited

Proto-strange quark stars from density-dependent quark mass model

Adamu Issifu, Franciele M. da Silva, Débora P. Menezes

In this paper, we investigate the evolution of strange quark stars (SQS) from birth as proto-strange quark stars to maturity as stable SQSs at a zero temperature. We assume that se…

hep-ph2023★ 7 cited

Correlation between the symmetry energy slope and the deconfinement phase transition

Luiz L. Lopes, Debora P. Menezes, Mateus R. Pelicer

We study how the nuclear symmetry energy slope () can affect the hadron-quark phase transition and neutron star properties. We show that the main physical quantities as the crit…

nucl-th2023★ 16 cited

A Bayesian study of quark models in view of recent astrophysical constraints

Franciele M. da Silva, Adamu Issifu, Luiz L. Lopes +2

In this work, we perform a comparative analysis between the density-dependent quark model and the vector MIT bag model using Bayesian analysis. We use the equations of state genera…