One-stop strategy to search for long-duration gravitational-wave signals

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tenorio, Rodrigo, Mérou, Joan-René, Sintes, Alicia M.
Format:	Preprint
Published:	2024
Subjects:	General Relativity and Quantum Cosmology Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable data-analysis framework for long-duration gravitational waves from compact binaries using short Fourier transforms
by: Tenorio, Rodrigo, et al.
Published: (2025)

Assessing the similarity of continuous gravitational-wave signals to narrow instrumental artifacts
by: Jaume, Rafel, et al.
Published: (2024)

Extraction of gravitational wave signals from LISA data in the presence of artifacts
by: Castelli, Eleonora, et al.
Published: (2024)

Optimizing searches for gravitational wave bursts using coherent WaveBurst 2G
by: Martini, Alessandro, et al.
Published: (2025)

Doppler correlation-driven vetoes for the Frequency Hough analysis in continuous gravitational-wave searches
by: Di Giovanni, Matteo, et al.
Published: (2024)

Robust and scalable simulation-based inference for gravitational wave signals with gaps
by: Mao, Ruiting, et al.
Published: (2025)

py5vec: a modular Python package for the 5-vector method to search for continuous gravitational waves
by: D'Onofrio, Luca, et al.
Published: (2026)

Deep source separation of overlapping gravitational-wave signals and non-stationary noise artifacts
by: Houba, Niklas
Published: (2025)

Wavelets for power spectral density estimation of gravitational wave data
by: Zhu, Jin-Bao, et al.
Published: (2025)

Glitches far from transient gravitational-wave events do not bias inference
by: Hourihane, Sophie, et al.
Published: (2025)

Identifying noise transients in gravitational-wave data arising from nonlinear couplings
by: Hall, Bernard, et al.
Published: (2024)

Optimal cross-correlation technique to search for strongly lensed gravitational waves
by: Kopty, Anirban, et al.
Published: (2026)

Gravitational-wave astronomy requires population-informed parameter estimation
by: Mould, Matthew, et al.
Published: (2026)

DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
by: Dooney, Tom, et al.
Published: (2025)

Suppressing data anomalies of gravitational reference sensors with time delay interferometry combinations
by: Wu, Pengzhan, et al.
Published: (2022)

Dealing with data gaps for TianQin with massive black hole binary signal
by: Wang, Lu, et al.
Published: (2024)

Toward a computationally-efficient follow-up pipeline for blind continuous gravitational-wave searches
by: Mirasola, Lorenzo, et al.
Published: (2024)

Sampling the full hierarchical population posterior distribution in gravitational-wave astronomy
by: Mancarella, Michele, et al.
Published: (2025)

Learning to detect continuous gravitational waves: an open data-analysis competition
by: Tenorio, Rodrigo, et al.
Published: (2025)

FluxMC: Rapid and High-Fidelity Inference for Space-Based Gravitational-Wave Observations
by: Liang, Bo, et al.
Published: (2026)

LensingFlow: An Automated Workflow for Gravitational Wave Lensing Analyses
by: Wright, Mick, et al.
Published: (2025)

Gauge Theoretic Signal Processing I: The Commutative Formalism for Single-Detector Adaptive Whitening
by: Kennington, James, et al.
Published: (2026)

Analyzing black-hole ringdowns II: data conditioning
by: Siegel, Harrison, et al.
Published: (2024)

Reconstruction of Black Hole Ringdown Signals with Data Gaps using a Deep-Learning Framework
by: Lai, Jing-Qi, et al.
Published: (2025)

A novel stacked hybrid autoencoder for imputing LISA data gaps
by: Mao, Ruiting, et al.
Published: (2024)

Advancing Space-Based Gravitational Wave Astronomy: Rapid Parameter Estimation via Normalizing Flows
by: Du, Minghui, et al.
Published: (2023)

Wavelet Scattering Transform for Gravitational Waves Analysis. An Application to Glitch Characterization
by: Licciardi, Alessandro, et al.
Published: (2024)

SlotFlow: Amortized Trans-Dimensional Inference with Slot-Based Normalizing Flows
by: Houba, Niklas, et al.
Published: (2025)

PADÉ FILTERING, Principles and Use: an Introductory Report
by: Fournier, Jean-Daniel, et al.
Published: (2024)

Rapid Parameter Estimation for Merging Massive Black Hole Binaries Using Continuous Normalizing Flows
by: Liang, Bo, et al.
Published: (2024)

Robust Bayesian inference with gapped LISA data using all-in-one TDI-$\infty$
by: Houba, Niklas, et al.
Published: (2024)

Design of Dedicated Tilt-to-Length Calibration Maneuvers for LISA
by: Wegener, Henry, et al.
Published: (2024)

Quantum Computing Tools for Fast Detection of Gravitational Waves in the Context of LISA Space Mission
by: Isfan, Maria-Catalina, et al.
Published: (2025)

Gravitational Wave Signal Extraction Against Non-Stationary Instrumental Noises with Deep Neural Network
by: Xu, Yuxiang, et al.
Published: (2024)

Residual test to search for microlensing signatures in strongly lensed gravitational wave signals
by: Seo, Eungwang, et al.
Published: (2025)

Searching for extreme mass ratio inspirals in LISA: from identification to parameter estimation
by: Strub, Stefan H., et al.
Published: (2025)

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

Enhanced long-duration gravitational-wave transient sources search pipeline with denoising and tree clustering algorithms
by: Einsle, Hugo, et al.
Published: (2025)

Piecewise frequency model for searches for long-transient gravitational waves from young neutron stars
by: Grace, Benjamin, et al.
Published: (2023)

On the exceptionality of exceptional gravitational-wave events
by: Tenorio, Rodrigo, et al.
Published: (2026)