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Relating different global neutron-star (NS) properties, such as tidal deformability and radius, or mass and radius, requires an equation of state (EoS). Determining the NS EoS is therefore not only the science goal of a variety of…

高能天体物理现象 · 物理学 2024-06-27 P. J. Davis , H. Dinh Thi , A. F. Fantina , F. Gulminelli , M. Oertel , L. Suleiman

We develop a new nonparametric method to reconstruct the Equation of State (EoS) of Neutron Star with multimessenger data. As an universal function approximator, the Feed-Forward Neural Network (FFNN) with one hidden layer and a sigmoidal…

高能物理 - 唯象学 · 物理学 2023-06-16 Ming-Zhe Han , Jin-Liang Jiang , Shao-Peng Tang , Yi-Zhong Fan

The equation of state (EOS) of dense nuclear matter is a key factor to determine the internal structure and properties of neutron stars. However, the EOS of high-density nuclear matter has great uncertainty mainly because the terrestrial…

核理论 · 物理学 2023-12-27 Zehan Wu , Dehua Wen

It is of great interest to understand the equation of state (EOS) of the neutron star (NS), whose core includes highly dense matter. However, there are large uncertainties in the theoretical predictions for the EOS of NS. It is useful to…

核理论 · 物理学 2023-07-05 Wenjie Zhou , Jinniu Hu , Ying Zhang , Hong Shen

Neutron star (NS) equation of state (EoS) insensitive relations or universal relations (UR) involving neutron star bulk properties play a crucial role in gravitational-wave astronomy. Considering a wide range of equations of state…

高能天体物理现象 · 物理学 2023-01-18 Bikram Keshari Pradhan , Aditya Vijaykumar , Debarati Chatterjee

Comparing with a wide range of covariant energy density functional models based on the finite-range meson-exchange representation, the relativistic mean-field models with the zero-range contact interaction, namely the relativistic…

核理论 · 物理学 2019-09-04 Bao Yuan Sun , Zhi Wei Liu , Ruo Yu Xing

Driven by recent laboratory experiments and astronomical observations, significant advances have deepened our understanding of neutron-star physics. NICER's Pulse Profile Modeling has refined our knowledge of neutron star masses and radii,…

核理论 · 物理学 2024-11-07 Marc Salinas , Jorge Piekarewicz

We present a physics-informed autoencoder designed to encode the equation of state of neutron stars into an interpretable latent space. In particular the input will be encoded in the mass, radius, and tidal deformability values of a neutron…

计算物理 · 物理学 2025-05-28 Francesco Di Clemente , Matteo Scialpi , Michał Bejger

Nuclear matter and neutron stars are studied in the framework of an extended relativistic mean-field (RMF) model with higher-order derivative and density dependent couplings of nucleons to the meson fields. The derivative couplings lead to…

核理论 · 物理学 2015-05-20 Sofija Antić , Stefan Typel

The interiors of neutron stars reach densities and temperatures beyond the limits of terrestrial experiments, providing vital laboratories for probing nuclear physics. While the star's interior is not directly observable, its pressure and…

Neutron stars are commonly considered as astronomical objects having highdensity interiors and an inner core region in which various hadronic matter phases are expected. Several studies show that the inner structures affect macroscopic…

高能天体物理现象 · 物理学 2016-06-22 Tomoki Endo

We construct posterior distributions of the equation of state (EoS) for matter beyond the inner crust of neutron stars by incorporating finite nuclei (FN) constraints within relativistic mean field models. These constraints are implemented…

核理论 · 物理学 2026-01-21 Anagh Venneti , Sarmistha Banik , Bijay K Agrawal

In the present paper we study the oscillations of fast rotating neutron stars with realistic equations of state (EoS) within the Cowling approximation. We derive improved empirical relations for gravitational wave asteroseismology with…

太阳与恒星天体物理 · 物理学 2013-09-04 Daniela D. Doneva , Erich Gaertig , Kostas D. Kokkotas , Christian Krüger

In recent years, modified gravity theories have gained significant attention as potential replacements for the general theory of relativity. Neutron stars, which are dense compact objects, provide ideal astrophysical laboratories for…

广义相对论与量子宇宙学 · 物理学 2023-07-20 K. Nobleson , Sarmistha Banik , Tuhin Malik

We present a pipeline to infer the equation of state of neutron stars from observations based on deep neural networks. In particular, using the standard (deterministic), as well as Bayesian (probabilistic) deep networks, we explore how one…

高能天体物理现象 · 物理学 2025-02-03 Giulia Ventagli , Ippocratis D. Saltas

We investigated universal relations for compact stars rotating at the Keplerian (mass-shedding) limit, which is highly relevant for understanding the rapidly rotating objects formed in the aftermath of a neutron star-neutron star merger.…

高能天体物理现象 · 物理学 2025-10-15 Pion Sudarshan Yeasin , Stefanos Tsiopelas , Armen Sedrakian , Jia-Jie Li

The equations of state (EoSs) governing neutron star (NS) matter obtained for both non-relativistic and relativistic mean-field models are systematically confronted with a diverse set of terrestrial data and astrophysical observations…

核理论 · 物理学 2024-05-20 Sk Md Adil Imam , Tuhin Malik , Constança Providência , B. K. Agrawal

The opportunity to study physics at supra-nuclear densities through X-ray observations of neutron stars has led to in-depth investigations of certain approximately universal relations that can remove degeneracies in pulse profile models.…

广义相对论与量子宇宙学 · 物理学 2015-10-28 Joseph Bretz , Kent Yagi , Nicolas Yunes

Aims: The aim of this work is to study the application of the artificial neural networks guided by the autoencoder architecture as a method for precise reconstruction of the neutron star equation of state, using their observable parameters:…

高能天体物理现象 · 物理学 2020-10-07 Filip Morawski , Michał Bejger

End-to-end deep learning models fed with multi-band galaxy images are powerful data-driven tools used to estimate galaxy physical properties in the absence of spectroscopy. However, due to a lack of interpretability and the associational…

天体物理仪器与方法 · 物理学 2025-11-26 Wei Zhang , Qiufan Lin , Yuan-Sen Ting , Shupei Chen , Hengxin Ruan , Song Li , Yifan Wang