Insights into Neutron Star Equation of State by Machine Learning

  • Guo L
  • Xiong J
  • Ma Y
  • et al.
4Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

Due to its powerful capability and high efficiency in big data analysis, machine learning has been applied in various fields. We construct a neural network platform to constrain the behaviors of the equation of state of nuclear matter with respect to the properties of nuclear matter at saturation density and the properties of neutron stars. It is found that the neural network is able to give reasonable predictions of parameter space and provide new hints into the constraints of hadron interactions. As a specific example, we take the relativistic mean field approximation in a widely accepted Walecka-type model to illustrate the feasibility and efficiency of the platform. The results show that the neural network can indeed estimate the parameters of the model at a certain precision such that both the properties of nuclear matter around saturation density and global properties of neutron stars can be saturated. The optimization of the present modularly designed neural network and extension to other effective models is straightforward.

References Powered by Scopus

Deep learning

63542Citations
N/AReaders
Get full text

GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

7702Citations
N/AReaders
Get full text

Machine learning: Trends, perspectives, and prospects

6316Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Neural simulation-based inference of the neutron star equation of state directly from telescope spectra

5Citations
N/AReaders
Get full text

Inference of parameters for the back-shifted Fermi gas model using a feedforward neural network

2Citations
N/AReaders
Get full text

Implications of latest NICER data for the neutron star equation of state

0Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Guo, L.-J., Xiong, J.-Y., Ma, Y., & Ma, Y.-L. (2024). Insights into Neutron Star Equation of State by Machine Learning. The Astrophysical Journal, 965(1), 47. https://doi.org/10.3847/1538-4357/ad2e8d

Readers' Seniority

Tooltip

Researcher 2

67%

PhD / Post grad / Masters / Doc 1

33%

Readers' Discipline

Tooltip

Physics and Astronomy 3

100%

Article Metrics

Tooltip
Mentions
News Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free