A benchmark for binary star interaction with a supermassive black hole in general relativity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sharma, Megha, Heger, Alexander, Price, Daniel J., Tejeda, Emilio, Grishin, Evgeni, Manzaneda, Luis A., Trani, Alessandro A.
Format:	Preprint
Published:	2026
Subjects:	Instrumentation and Methods for Astrophysics General Relativity and Quantum Cosmology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Relativistic tidal separation of binary stars by supermassive black holes
by: Manzaneda, Luis A., et al.
Published: (2024)

Accelerated parameter estimation of supermassive black hole binaries in LISA using a meshfree approximation
by: Sharma, Abhishek, et al.
Published: (2024)

Expectations for the first supermassive black-hole binary resolved by PTAs II: Milestones for binary characterization
by: Petrov, Polina, et al.
Published: (2025)

Global time-frequency search for stellar-mass binary black holes in LISA
by: Bandopadhyay, Diganta, et al.
Published: (2025)

Spectral method for metric perturbations of black holes: Kerr background case in general relativity
by: Chung, Adrian Ka-Wai, et al.
Published: (2023)

Mapping inspiral-merger-ringdown waveforms of binary black holes from black hole perturbation waveforms by machine learning
by: Zhong, Xing-Yu, et al.
Published: (2025)

Premerger detection of massive black hole binaries using deep learning
by: Ruan, Wen-Hong, et al.
Published: (2024)

Reconstruction of binary black hole harmonics in LIGO using deep learning
by: Chatterjee, Chayan, et al.
Published: (2024)

Comparison of neural network architectures for feature extraction from binary black hole merger waveforms
by: Freitas, Osvaldo Gramaxo, et al.
Published: (2023)

On the approximate relation between black-hole perturbation theory and numerical relativity
by: Islam, Tousif, et al.
Published: (2023)

Improved binary black hole searches through better discrimination against noise transients
by: Choudhary, Sunil, et al.
Published: (2022)

Searching for stellar-origin binary black holes in LISA Data Challenge 1b: Yorsh
by: Bandopadhyay, Diganta, et al.
Published: (2024)

Searching for binary black hole mergers with deep learning in Advanced LIGO's third observing run
by: Beveridge, Damon, et al.
Published: (2025)

Rapid eccentric spin-aligned binary black hole waveform generation based on deep learning
by: Shi, Ruijun, et al.
Published: (2024)

Prospects of constraining on the polarizations of gravitational waves from binary black holes using space- and ground-based detectors
by: Wu, Jie, et al.
Published: (2024)

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

Detecting relativistic black hole collisions near a massive black hole
by: Fang, Yirong, et al.
Published: (2025)

Bayesian parameter estimation of massive black hole binaries with TianQin-LISA
by: Gao, Jie, et al.
Published: (2024)

Hybrid algorithm combining matched filtering and convolutional neural networks for searching gravitational waves from binary black hole mergers
by: Yamamoto, Takahiro S., et al.
Published: (2025)

Detectability of eccentric binary black holes with PyCBC and cWB pipelines during the third observing run of LIGO-Virgo-KAGRA
by: Gadre, Bhooshan, et al.
Published: (2024)

Probing globular clusters using modulated gravitational waves from binary black holes
by: Wu, Jie, et al.
Published: (2025)

Detectability of massive binary black holes with sub-mHz gravitational wave missions
by: Wang, Renjie, 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)

Evaluating statistical significance for massive black hole binary mergers with space-based gravitational wave detectors
by: Chen, Hong-Yu, et al.
Published: (2025)

Towards direct imaging and orbital parameter estimation of supermassive black hole binaries with spaceborne VLBI
by: Hudson, B., et al.
Published: (2025)

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

PRECESSION 2.1: black-hole binary spin precession on eccentric orbits
by: Fumagalli, Giulia, et al.
Published: (2025)

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

Expectations for the first supermassive black-hole binary resolved by PTAs I: Model efficacy
by: Schult, Levi, et al.
Published: (2025)

Template bank to search for exotic gravitational wave signals from astrophysical compact binaries
by: Sharma, Abhishek, et al.
Published: (2023)

Hints of spin-magnitude correlations and a rapidly spinning subpopulation of binary black holes
by: Hussain, Asad, et al.
Published: (2024)

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

Adapting a novel framework for rapid inference of massive black hole binaries for LISA
by: Jan, Aasim, et al.
Published: (2024)

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

Bayesian synthesis of astrometric wobble and total light curves in close binary supermassive black holes
by: Kovacevic, Andjelka B., et al.
Published: (2024)

Search for gravitational waves from eccentric binary black holes with an effective-one-body template
by: Wang, Yi-Fan, et al.
Published: (2025)

New semicoherent targeted search for continuous gravitational waves from pulsars in binary systems
by: Mirasola, Lorenzo, et al.
Published: (2024)

Post-Newtonian expansions of extreme mass ratio inspirals of spinning bodies into Schwarzschild black holes
by: Skoupý, Viktor, et al.
Published: (2024)

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)

DeepHMC : a deep-neural-network acclerated Hamiltonian Monte Carlo algorithm for binary neutron star parameter estimation
by: Perret, Jules, et al.
Published: (2025)