4.5 Article

Dynamical instabilities in density-dependent hadronic relativistic models

期刊

PHYSICAL REVIEW C
卷 77, 期 4, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevC.77.045805

关键词

-

向作者/读者索取更多资源

Unstable modes in asymmetric nuclear matter (ANM) at subsaturation densities are studied in the framework of relativistic mean-field density-dependent hadron models. The size of the instabilities that drive the system are calculated and a comparison with results obtained within the nonlinear Walecka model is presented. The distillation and antidistillation effects are discussed.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Astronomy & Astrophysics

The neutron star outer crust equation of state: a machine learning approach

Utsav Murarka, Kinjal Banerjee, Tuhin Malik, Constanca Providencia

Summary: This paper applies machine learning algorithms to predict the binding energy of atomic nuclei and constructs the outer crust equation of state of a neutron star. The study demonstrates that the model is comparable to existing models in terms of accuracy and provides guidance for the physics community in choosing suitable machine learning algorithms for their datasets.

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2022)

Article Physics, Nuclear

A possible trial beyond the conventional random phase approximation for the su(2)-Lipkin model including the case of nonclosed shell system

Yasuhiko Tsue, Constanca Providencia, Joao da Providencia, Masatoshi Yamamura

Summary: This paper focuses on the su(2)-Lipkin model and discovers an unexpected discrepancy between the exact treatment and the conventional RPA method when calculating the excitation energy to the first excited state. To address this issue, the conventional RPA method is renewed and the su(2)-Lipkin model is modified to be applicable to nonclosed shell systems.

INTERNATIONAL JOURNAL OF MODERN PHYSICS E (2022)

Article Astronomy & Astrophysics

Landau parameters and entrainment matrix of cold stellar matter: effect of the symmetry energy and strong magnetic fields

Helena Pais, Oleksii Ivanytskyi, Constanca Providencia

Summary: This study calculates the nuclear matter properties using a relativistic approach suitable for multi-component systems. The effects of density dependence of symmetry energy and Landau quantization in the presence of a strong external magnetic field are discussed. The results show a large dispersion in the calculated properties at high densities, as well as sensitivity of proton Landau mass and parameters to symmetry energy. The impact of magnetic field on nuclear properties is minimal except in a narrow range of densities near the crust-core transition.

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2022)

Article Astronomy & Astrophysics

The Effects of Self-interacting Bosonic Dark Matter on Neutron Star Properties

Edoardo Giangrandi, Violetta Sagun, Oleksii Ivanytskyi, Constanca Providencia, Tim Dietrich

Summary: We propose a model of asymmetric bosonic dark matter with self-repulsion. By studying different distribution regimes, we find that condensed dark matter leads to smaller radius and tidal deformability compared to pure baryonic stars, while the presence of a dark matter halo increases the tidal deformability and total gravitational mass. We impose constraints on the model parameters based on the self-interaction cross section of dark matter and discuss smoking gun evidence of dark matter presence.

ASTROPHYSICAL JOURNAL (2023)

Article Astronomy & Astrophysics

Spanning the full range of neutron star properties within a microscopic description

Tuhin Malik, Marcio Ferreira, Milena Bastos Albino, Constanca Providencia

Summary: This study analyzes the high-density behavior of nuclear matter using a relativistic mean field description with nonlinear meson interactions. A Bayesian inference technique is used to evaluate the model parameters and their output. The study identifies three distinct classes of equations of state based on the strength of the nonlinear vector field contribution, each correlated with different star properties distributions.

PHYSICAL REVIEW D (2023)

Article Astronomy & Astrophysics

Extracting nuclear matter properties from the neutron star matter equation of state using deep neural networks

Marcio Ferreira, Valeria Carvalho, Constanca Providência

Summary: This study successfully extracts the nuclear matter properties from cold beta-equilibrium neutron star matter using deep neural networks. The DNN model achieved high accuracy in the test set and was able to accurately predict the nuclear matter parameters in a real-case scenario involving 33 nuclear models.

PHYSICAL REVIEW D (2022)

Article Astronomy & Astrophysics

Bayesian inference of signatures of hyperons inside neutron stars

Tuhin Malik, Constanca Providencia

Summary: The possible signatures of hyperons inside neutron stars are discussed using a Bayesian inference framework. Based on nuclear matter and hypernuclei properties, as well as observational information, the general properties of neutron stars are examined. It is found that neutron stars described by equations of state that include hyperons have larger radius and tidal deformability, but smaller speed of sound compared to stars described by nucleonic equations of state. Specific constraints on the possible hyperon content of neutron stars are given based on measurements of mass and radius. The presence of hyperons inside neutron stars is compatible with current observations of pulsars and gravitational wave detection.

PHYSICAL REVIEW D (2022)

Article Physics, Nuclear

A baryons in neutron stars

Kauan D. Marquez, Debora P. Menezes, Helena Pais, Constanca Providencia

Summary: By using a relativistic mean-field description with density dependent couplings, the properties of neutron star matter with different compositions are analyzed. The presence of hyperons decreases the fraction of A baryons in the center of the star, while without hyperons, stars with a dominant A baryon composition are possible.

PHYSICAL REVIEW C (2022)

Review Physics, Nuclear

CompOSE reference manual

S. Typel, M. Oertel, T. Klahn, D. Chatterjee, V Dexheimer, C. Ishizuka, M. Mancini, J. Novak, H. Pais, C. Providencia, Ad R. Raduta, M. Servillat, L. Tolos

Summary: CompOSE is an online repository of equations of state (EoS) for use in nuclear physics and astrophysics. It offers a collection of data tables for different EoS types and related physical quantities, software for data extraction and interpolation, and webtools for generating customized EoS tables. This manual is an updated version of the CompOSE service, providing a detailed description and instructions for users.

EUROPEAN PHYSICAL JOURNAL A (2022)

Article Astronomy & Astrophysics

Identification of binary neutron star mergers in gravitational-wave data using object-detection machine learning models

Joao Aveiro, Felipe F. Freitas, Marcio Ferreira, Antonio Onofre, Constanca Providencia, Goncalo Goncalves, Jose A. Font

Summary: In this study, the YOLOv5 model is used for detecting binary neutron star coalescence events from gravitational-wave data, achieving high average precision values. The model shows potential for application in first-stage detection alarm pipelines.

PHYSICAL REVIEW D (2022)

Article Physics, Nuclear

Inferring the nuclear symmetry energy at suprasaturation density from neutrino cooling

Tuhin Malik, B. K. Agrawal, Constanca Providencia

Summary: An important goal in astrophysics is to understand the equation of state and composition of neutron stars. This study uses the nucleonic direct Urca process as a probe to investigate the high density behavior of nuclear symmetry energy. The results show a strong correlation between the nuclear symmetry energy and neutron star mass, providing valuable constraints on its behavior at high density.

PHYSICAL REVIEW C (2022)

Article Physics, Nuclear

Polytropic fits of modern and unified equations of state

Lami Suleiman, Morgane Fortin, Julian Leszek Zdunik, Constanca Providencia

Summary: The study revises fits of equations of state using unified tables for neutron star matter, aiming to model macroscopic parameters accurately. By fitting parameters to 52 unified equations of state, properties like mass, radius, tidal deformability, and moment of inertia of neutron stars are compared to ensure the accuracy of the fits. The fit error on macroscopic parameters is found to be small and within the measurement accuracy of current and next-generation telescopes.

PHYSICAL REVIEW C (2022)

Article Astronomy & Astrophysics

Quick Guides for Use of the CompOSE Data Base

Veronica Dexheimer, Marco Mancini, Micaela Oertel, Constanca Providencia, Laura Tolos, Stefan Typel

Summary: This article presents a combination of two quick guides that summarize relevant information about the CompOSE nuclear equation of state repository. The first guide is aimed at nuclear physicists and provides instructions on how to provide standard equation of state tables, while the second guide is meant for users and describes the basic procedures to obtain customized tables with equation of state data. Several examples are included to help both providers and users of the CompOSE database.

PARTICLES (2022)

Article Physics, Nuclear

Heavy baryons in hot stellar matter with light nuclei and hypernuclei

Tiago Custodio, Helena Pais, Constanca Providencia

Summary: The production of light nuclei, hypernuclei, and heavy baryons in low-density stellar environments is studied using relativistic mean-field models. The presence of both hyperons and A baryons leads to a shift in the dissolution of clusters to higher densities and an increase in their abundance. This effect is more significant at lower charge fractions and higher temperatures.

PHYSICAL REVIEW C (2022)

Article Astronomy & Astrophysics

Pasta phases in neutron stars under strong magnetic fields

Xiaopeng Wang, Jing Li, Jianjun Fang, Helena Pais, Constanca Providencia

Summary: In this study, the properties of nuclear matter in the innermost crust of neutron stars under a strong magnetic field are considered. The density dependence, nonhomogeneous matter, and crust structure are discussed. The results show that a strong magnetic field extends the crust, causing disconnected nonhomogeneous regions and increasing the proton fraction.

PHYSICAL REVIEW D (2022)

暂无数据