Cover Image

Classification of the equation of state of neutron stars via sparse dictionary learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Llorens-Monteagudo, Miquel, Torres-Forné, Alejandro, Font, José A.
Format:	Preprint
Published:	2025
Subjects:	High Energy Astrophysical Phenomena General Relativity and Quantum Cosmology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rapid detection of gravitational waves from binary black hole mergers using sparse dictionary learning
by: Badger, Charles, et al.
Published: (2024)

Determining the core-collapse supernova explosion mechanism with current and future gravitational-wave observatories
by: Powell, Jade, et al.
Published: (2023)

CLAWDIA: A dictionary learning framework for gravitational-wave data analysis
by: Llorens-Monteagudo, Miquel, et al.
Published: (2025)

Towards asteroseismology of neutron stars with physics-informed neural networks
by: Tseneklidou, Dimitra, et al.
Published: (2025)

Proto-neutron star oscillations including accretion flows
by: Tseneklidou, Dimitra, et al.
Published: (2025)

On the treatment of thermal effects in the equation of state on neutron star merger remnants
by: Guerra, Davide, et al.
Published: (2025)

Numerical relativity surrogate models for exotic compact objects: the case of head-on mergers of equal-mass Proca stars
by: Luna, Raimon, et al.
Published: (2024)

Subgrid modelling of MRI-driven turbulence in differentially rotating neutron stars
by: Miravet-Tenés, Miquel, et al.
Published: (2025)

High-speed reconstruction of long-duration gravitational waves from extreme mass ratio inspirals using sparse dictionary learning
by: Badger, Charles, et al.
Published: (2024)

Identifying thermal effects in neutron star merger remnants with model-agnostic waveform reconstructions and third-generation detectors
by: Miravet-Tenés, Miquel, et al.
Published: (2024)

Deep-Learning Classification and Parameter Inference of Rotational Core-Collapse Supernovae
by: Nunes, Solange, et al.
Published: (2024)

Gravitational-wave imprints of non-convex dynamics in binary neutron star mergers
by: Rivieccio, Giuseppe, et al.
Published: (2024)

Measuring the nuclear equation of state with neutron star-black hole mergers
by: Sarin, Nikhil, et al.
Published: (2023)

Binary neutron star mergers with tabulated equations of state in SPHINCS_BSSN
by: Shankar, Swapnil, et al.
Published: (2026)

One- and two-argument equation of state parametrizations with continuous sound speed for neutron star simulations
by: Servignat, Gaël, et al.
Published: (2023)

Solving the Teukolsky equation with physics-informed neural networks
by: Luna, Raimon, et al.
Published: (2022)

Precision constraints on the neutron star equation of state with third-generation gravitational-wave observatories
by: Walker, Kris, et al.
Published: (2024)

Effects of waveform systematics on inferences of neutron star population properties and the nuclear equation of state
by: Yelikar, Anjali B., et al.
Published: (2024)

Astrophysical assumptions and equation of state framework have larger impact on equation of state inference than individual neutron star observations
by: Kedia, Atul, et al.
Published: (2024)

Inference on neutron star parameters and the nuclear equation of state with RIFT, using prior EOS information
by: Vilkha, Askold, et al.
Published: (2024)

Constraints on QCD-based equation of state of quark stars from neutron star maximum mass, radius, and tidal deformability observations
by: Zastrow, João V., et al.
Published: (2025)

Bayesian inference from gravitational waves in fast-rotating, core-collapse supernovae
by: Pastor-Marcos, Carlos, et al.
Published: (2023)

Dynamical ejecta from binary neutron star mergers: Impact of residual eccentricity and equation of state implementation
by: Foucart, Francois, et al.
Published: (2024)

Gravitational-wave model for neutron star merger remnants with supervised learning
by: Soultanis, Theodoros, et al.
Published: (2024)

A machine-learning classifier for the postmerger remnant of binary neutron stars
by: Puecher, Anna, et al.
Published: (2024)

Black hole-neutron star mergers with massive neutron stars in numerical relativity
by: Chen, Shichuan, et al.
Published: (2024)

Self-consistent treatment of thermal effects in neutron-star post-mergers: observational implications for third-generation gravitational-wave detectors
by: Villa-Ortega, Verónica, et al.
Published: (2023)

Masking equation of state effects in binary neutron star mergers
by: Tsokaros, Antonios, et al.
Published: (2024)

Magnetic frame-dragging correction to the electromagnetic solution of a compact neutron star
by: Torres, R., et al.
Published: (2023)

Employing deep-learning techniques for the conservative-to-primitive recovery in binary neutron star simulations
by: Mudimadugula, Ranjith, et al.
Published: (2025)

Optimizing Bayesian model selection for equation of state of cold neutron stars
by: Kashyap, Rahul, et al.
Published: (2025)

Probing internal dissipative processes of neutron stars with gravitational waves during the inspiral of neutron star binaries
by: Ripley, Justin L., et al.
Published: (2023)

Assessing equation of state-independent relations for neutron stars with nonparametric models
by: Legred, Isaac, et al.
Published: (2023)

Black hole-neutron star binaries
by: Duez, Matthew D.
Published: (2024)

Gravitational scattering of two neutron stars
by: Fontbuté, Joan, et al.
Published: (2025)

Binary neutron star mergers with a subsolar mass star
by: Corman, Maxence, et al.
Published: (2026)

Inferring small neutron star spins with neutron star-black hole mergers
by: Gupta, Ish
Published: (2024)

OSIRIS-GR: General relativistic activation of the polar cap of a compact neutron star
by: Torres, R., et al.
Published: (2024)

Measuring the neutron star equation of state from EMRIs in dark matter environments with LISA
by: Karydas, Theophanes K., et al.
Published: (2025)

Discovering neutron stars with LISA via measurements of orbital eccentricity in Galactic binaries
by: Moore, Christopher J., et al.
Published: (2023)