Data-driven approach for extracting tidal information from neutron star binary mergers observed with the Einstein Telescope

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abac, Adrian, Puecher, Anna, Gair, Jonathan, Dietrich, Tim
Format:	Preprint
Published:	2025
Subjects:	General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-messenger observations in the Einstein Telescope era: binary neutron star and black hole - neutron star mergers
by: Colombo, Alberto, et al.
Published: (2025)

Robust parameter estimation within minutes on gravitational wave signals from binary neutron star inspirals
by: Wouters, Thibeau, et al.
Published: (2024)

Challenging a binary neutron star merger interpretation of GW230529
by: Markin, Ivan, et al.
Published: (2025)

New gravitational waveform model for precessing binary neutron stars with double-spin effects
by: Colleoni, Marta, et al.
Published: (2023)

Rapid pre-merger localization of binary neutron stars in third generation gravitational wave detectors
by: Hu, Qian, et al.
Published: (2023)

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

Leveraging NRTidalv3 to develop gravitational waveform models with higher-order modes for binary neutron star systems
by: Abac, Adrian, et al.
Published: (2025)

Leveraging differentiable programming in the inverse problem of neutron stars
by: Wouters, Thibeau, et al.
Published: (2025)

The impact of dark matter on tidal signatures in neutron star mergers with Einstein Telescope
by: Koehn, Hauke, et al.
Published: (2024)

Evolution and afterglow emission of gamma-ray burst jets from binary neutron star mergers
by: Dreas, Emma, et al.
Published: (2026)

A flexible, GPU-accelerated approach for the joint characterization of LISA instrumental noise and Stochastic Gravitational Wave Backgrounds
by: Santini, Alessandro, et al.
Published: (2025)

Pinpointing coalescing binary neutron star sources with the IGWN, including LIGO-Aundha
by: Shukla, Sachin R., et al.
Published: (2023)

Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach
by: Santoliquido, Filippo, et al.
Published: (2024)

New binary black hole mergers in the LIGO-Virgo O3b data
by: Mehta, Ajit Kumar, et al.
Published: (2023)

Systematics in tests of general relativity using LISA massive black hole binaries
by: Garg, Mudit, et al.
Published: (2024)

A framework for LISA population inference
by: Toubiana, Alexandre, et al.
Published: (2026)

Is your stochastic signal really detectable?
by: Pozzoli, Federico, et al.
Published: (2024)

Fast and accurate parameter estimation of high-redshift sources with the Einstein Telescope
by: Santoliquido, Filippo, et al.
Published: (2025)

Accurate and efficient simulation-based inference for massive black-hole binaries with LISA
by: Spadaro, Alice, et al.
Published: (2026)

The Science of the Einstein Telescope
by: Abac, Adrian, et al.
Published: (2025)

A unified study of nuclear physics and dark matter constraints through gravitational-wave observations of binary neutron star mergers
by: Kunert, Nina, et al.
Published: (2026)

An autoencoder-based surrogate waveform model for quasi-circular binary-black-hole mergers
by: Theodoropoulos, Anastasios, et al.
Published: (2026)

Straightforward mode hierarchy in eccentric binary black hole mergers and associated waveform model
by: Islam, Tousif
Published: (2024)

Mind the gap: addressing data gaps and assessing noise mismodeling in LISA
by: Burke, Ollie, et al.
Published: (2025)

Multi-messenger prospects for black hole - neutron star mergers in the O4 and O5 runs
by: Colombo, Alberto, et al.
Published: (2023)

Searching for intermediate mass ratio binary black hole mergers in the third observing run of LIGO-Virgo-KAGRA
by: Cheung, Mark Ho-Yeuk, et al.
Published: (2025)

Enabling multi-messenger astronomy with continuous gravitational waves: early warning and sky localization of binary neutron stars in Einstein Telescope
by: Miller, Andrew L., et al.
Published: (2023)

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

Fast pre-merger detection of massive black-hole binaries in LISA based on time-frequency excess power
by: Nobili, Francesco, et al.
Published: (2026)

An efficient GPU-accelerated multi-source global fit pipeline for LISA data analysis
by: Katz, Michael L., et al.
Published: (2024)

Estimating the binary neutron star merger rate density evolution with Einstein Telescope
by: Singh, Neha, et al.
Published: (2025)

Using gravitational wave early warning to pre-point neutron star mergers with Imaging Atmospheric Cherenkov telescopes
by: Tissino, Jacopo
Published: (2024)

General relativistic self-gravitating equilibrium disks around rotating neutron stars
by: Kim, Yoonsoo, et al.
Published: (2024)

Reconstructing parametric gravitational-wave population fits from non-parametric results without refitting the data
by: Fabbri, Cecilia Maria, et al.
Published: (2025)

Pre-localization of Massive Black Hole Binaries in the Millihertz Band
by: Zhang, Xue-Ting, et al.
Published: (2026)

Impact of gravitational waveform model systematics on the measurement of the Hubble constant
by: Kunert, Nina, et al.
Published: (2024)

Seeing Black Holes : from the Computer to the Telescope
by: Luminet, Jean-Pierre
Published: (2018)

GPS constellation search for exotic physics messengers coincident with the binary neutron star merger GW170817
by: Sen, Arko P., et al.
Published: (2026)

Fast and Fourier: Extreme Mass Ratio Inspiral Waveforms in the Frequency Domain
by: Speri, Lorenzo, et al.
Published: (2023)

Trust the process: mapping data-driven reconstructions to informed models using stochastic processes
by: Rinaldi, Stefano, et al.
Published: (2025)