Cover Image

Towards an anomaly detection pipeline for gravitational waves at the Einstein Telescope

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Inguglia, Gianluca, Haigh, Huw, Vitulova, Kristyna, Dupletsa, Ulyana
Format:	Preprint
Published:	2025
Subjects:	General Relativity and Quantum Cosmology Instrumentation and Methods for Astrophysics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Impact of correlated noise on the reconstruction of the stochastic gravitational wave background with Einstein Telescope
by: Caporali, Ilaria, et al.
Published: (2025)

Recovering cosmological parameters from the mock gravitational wave data of the Einstein Telescope
by: Roy, Pinaki, et al.
Published: (2026)

Template-free search for gravitational wave events using coincident anomaly detection
by: Ratner, Daniel
Published: (2026)

Using normal to find abnormal: AI-based anomaly detection in gravitational wave data
by: Guo, Yi-Yang, et al.
Published: (2025)

A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences
by: Marx, Ethan, et al.
Published: (2024)

Toward a computationally-efficient follow-up pipeline for blind continuous gravitational-wave searches
by: Mirasola, Lorenzo, 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)

An efficient pipeline for joint gravitational wave searches from individual binaries and a gravitational wave background with Hamiltonian sampling
by: Freedman, Gabriel E., et al.
Published: (2024)

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

Enhancing search pipelines for short gravitational wave transients with Gaussian mixture modelling
by: Smith, Leigh, et al.
Published: (2024)

Scalable matched-filtering pipeline for gravitational-wave searches of compact binary mergers
by: Huang, Yun-Jing, et al.
Published: (2024)

Machine Learning to assess astrophysical origin of gravitational waves triggers
by: Mobilia, Lorenzo, et al.
Published: (2025)

A dual tunnel structure for the Einstein Telescope
by: DeSalvo, Riccardo, et al.
Published: (2026)

Space gravitational wave detection: Progress and outlook
by: Ni, Wei-Tou
Published: (2024)

Opportunities and limits of lunar gravitational-wave detection
by: Cozzumbo, Andrea, et al.
Published: (2023)

Demonstration of a next-generation wavefront actuator for gravitational-wave detection
by: Rosauer, Tyler, et al.
Published: (2025)

Improving the detection significance of gravitational wave transient searches with CNN models
by: Fernandes, Johann, et al.
Published: (2025)

A numerical framework for Newtonian-noise estimation at the Einstein Telescope: 2-D simulations beyond the plane-wave approximation
by: Schillings, Patrick, et al.
Published: (2026)

Luminosity distance uncertainties from gravitational wave detections by third generation observatories
by: de Souza, Josiel Mendonça Soares, et al.
Published: (2023)

Merging L-shaped resonator with Michelson configuration for kilohertz gravitational-wave detection
by: Guo, Xinyao, et al.
Published: (2024)

An interference-based method for the detection of strongly lensed gravitational waves
by: Shan, Xikai, et al.
Published: (2023)

Adaptive extended Kalman filter and laser link acquisition in the detection of gravitational waves in space
by: Yang, Jinke, et al.
Published: (2025)

Toward robust detections of nanohertz gravitational waves
by: Di Marco, Valentina, et al.
Published: (2023)

Photon counting readout for detection and inference of gravitational waves from neutron star merger remnants
by: Payne, Ethan, et al.
Published: (2025)

Long-wavelength UV-LEDs and charge management in the detection of gravitational waves in space
by: Jia, Yuandong, et al.
Published: (2025)

Coherence DeepClean: Toward autonomous denoising of gravitational-wave detector data
by: Reissel, Christina, et al.
Published: (2025)

Scattered light noise due to dust particles contamination in the vacuum pipes of the Einstein Telescope
by: Moscatello, Andrea, et al.
Published: (2025)

Detection of the stochastic gravitational wave background with the space-borne gravitational-wave detector network
by: Cheng, Jun, et al.
Published: (2025)

Extending the micro-Hertz detection horizons via orbital resonance effect for geocentric gravitational wave antennas
by: Deng, Qiong, et al.
Published: (2025)

Prospects for Taiji to detect a gravitational-wave background from cosmic strings
by: Chen, Zu-Cheng, et al.
Published: (2023)

The impact of seasonality over the sensitivity of Einstein Telescope and the SNR of CBC signals at the Sardinia candidate site
by: Di Giovanni, Matteo, et al.
Published: (2026)

A meshfree approach for rapid reconstruction of compact binary sources detected in the network of international gravitational wave detectors
by: Pathak, Lalit
Published: (2025)

PyMerger: Detecting Binary Black Hole merger from Einstein Telescope Using Deep Learning
by: Alhassan, Wathela, et al.
Published: (2023)

Scalable continuous gravitational wave detection in PTA data with non-parametric red noise suppression and optimal pulsar selection
by: Qian, Yi-Qian, et al.
Published: (2026)

GWSpace: a multi-mission science data simulator for space-based gravitational wave detection
by: Li, En-Kun, et al.
Published: (2023)

The Doppler boosted LISA response to gravitational waves
by: van der Steen, Tom, et al.
Published: (2025)

Gravitational-Wave Searches for Cosmic String Cusps in Einstein Telescope Data using Deep Learning
by: Meijer, Quirijn, et al.
Published: (2023)

Validating Prior-informed Fisher-matrix Analyses against GWTC Data
by: Dupletsa, Ulyana, et al.
Published: (2024)

Sky localization of gravitational waves from eccentric binaries
by: Pal, Souradeep
Published: (2025)

Modelling noise in gravitational-wave observatories with transdimensional models
by: Guttman, Nir, et al.
Published: (2025)