2021/01/31 by Katerina Chatziioannou, Neil J. Cornish, Neil Cornish +4 · 2 citations
Earth and Planetary Sciences · Mathematics · Physics and Astronomy · #Astronomy #Binary data #Binary number #Computer science #Geophysics and Gravity Measurements #Gravitational wave #Mathematics #Physics #Pulsars and Gravitational Waves Research #Seismic Waves and Analysis #astro-ph.HE #gr-qc
paper · pdf · doi:10.1103/physrevd.103.044013
published as Phys. Rev. D 103, 044013 (2021) · 9 pages, 15 figures, published version
arxiv created 2021/02/08 · openalex publication_date 2021/02/08 · arxiv updated 2021/02/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
Transient non-Gaussian noise in gravitational wave detectors, commonly referred to as glitches, pose challenges for detection and inference of the astrophysical properties of detected signals when the two are coincident in time. Current analyses aim toward modeling and subtracting the glitches from the data using a flexible, morphology-independent model in terms of sine-Gaussian wavelets before the signal source properties are inferred using templates for the compact binary signal. We present a new analysis of gravitational wave data that contain both a signal and glitches by simultaneously modeling the compact binary signal in terms of templates and the instrumental glitches using sine-Gaussian wavelets. The model for the glitches is generic and can thus be applied to a wide range of glitch morphologies without any special tuning. The simultaneous modeling of the astrophysical signal with templates allows us to efficiently separate the signal from the glitches, as we demonstrate using simulated signals injected around real O2 glitches in the two LIGO detectors. We show that our new proposed analysis can separate overlapping glitches and signals, estimate the compact binary parameters, and provide ready-to-use glitch-subtracted data for downstream inference analyses.