Accurate modeling and mitigation of overlapping signals and glitches in gravitational-wave data

Abstract

The increasing sensitivity of gravitational-wave detectors has brought about an increase in the rate of astrophysical signal detections as well as the rate of "glitches"; transient and non-Gaussian detector noise. Temporal overlap of signals and glitches in the detector presents a challenge for inference analyses that typically assume the presence of only Gaussian detector noise. In this study we perform an extensive exploration of the efficacy of a recently proposed method that models the glitch with sine-Gaussian wavelets while simultaneously modeling the signal with compact-binary waveform templates. We explore a wide range of glitch families and signal morphologies and demonstrate that the joint modeling of glitches and signals (with wavelets and templates respectively) can reliably separate the two. We find that the glitches that most affect parameter estimation are also the glitches that are well modeled by such wavelets due to their compact time-frequency signature. As a further test, we investigate the robustness of this analysis against waveform systematics like those arising from the exclusion of higher-order modes and spin-precession effects. Our analysis provides an estimate of the signal parameters; the glitch waveform to be subtracted from the data; and an assessment of whether some detected excess power consists of a glitch, signal, or both. We analyze the low-significance triggers (191225_215715 and 200114_020818) and find that they are both consistent with glitches overlapping high-mass signals.

26 pages, 25 figures, 7 tables, updating after acceptance to PRD

References in corpus (38)

• GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral
• Advanced Virgo: a 2nd generation interferometric gravitational wave detector
• Advanced LIGO
• GW190814: Gravitational Waves from the Coalescence of a 23 M${}_{\odot }$ Black Hole with a 2.6 M${}_{\odot }$ Compact Object
• GW170608: Observation of a 19-solar-mass Binary Black Hole Coalescence
• Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library
• BayesWave: Bayesian Inference for Gravitational Wave Bursts and Instrument Glitches
• Towards models of gravitational waveforms from generic binaries II: Modelling precession effects with a single effective precession parameter
• Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science
• Multipolar Effective-One-Body Waveforms for Precessing Binary Black Holes: Construction and Validation
• Analysis of spin precession in binary black hole systems including quadrupole-monopole interaction
• BayesLine: Bayesian Inference for Spectral Estimation of Gravitational Wave Detector Noise
• Towards models of gravitational waveforms from generic binaries: A simple approximate mapping between precessing and non-precessing inspiral signals
• The BayesWave analysis pipeline in the era of gravitational wave observations
• Machine-learning non-stationary noise out of gravitational wave detectors
• Effective potentials and morphological transitions for binary black-hole spin precession
• Inferring the post-merger gravitational wave emission from binary neutron star coalescences
• Gravitational-wave observations of binary black holes: Effect of non-quadrupole modes
• All-sky search for short gravitational-wave bursts in the second Advanced LIGO and Advanced Virgo run
• Search for intermediate mass black hole binaries in the third observing run of Advanced LIGO and Advanced Virgo
• Noise Reduction in Gravitational-wave Data via Deep Learning
• All-sky search for short gravitational-wave bursts in the third Advanced LIGO and Advanced Virgo run
• Heterodyned Likelihood for Rapid Gravitational Wave Parameter Inference
• Correlated noise in networks of gravitational-wave detectors: subtraction and mitigation
• Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning
• Modeling compact binary signals and instrumental glitches in gravitational wave data
• Uncertainty limits on neutron star radius measurements with gravitational waves
• You Can't Always Get What You Want: The Impact of Prior Assumptions on Interpreting GW190412
• Mode-by-mode Relative Binning: Fast Likelihood Estimation for Gravitational Waveforms with Spin-Orbit Precession and Multiple Harmonics
• Detection and Parameter Estimation of Gravitational Waves from Compact Binary Inspirals with Analytical Double-Precessing Templates
• Impact of noise transients on low latency gravitational-wave event localisation
• Identification and removal of non-Gaussian noise transients for gravitational wave searches
• An optimized PyCBC search for gravitational waves from intermediate-mass black hole mergers
• A morphology-independent test of the mixed polarization content of gravitational wave signals from compact binary coalescences
• Transient glitch mitigation in Advanced LIGO data with $\text{glitschen}$
• Evidence for subdominant multipole moments and precession in merging black-hole-binaries from GWTC-2.1
• The astrophysical odds of GW151216
• Probing neutron stars with the full pre-merger and post-merger gravitational wave signal from binary coalescences

Cited by in corpus (5)

• GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run
• The curious case of GW200129: interplay between spin-precession inference and data-quality issues
• Data quality up to the third observing run of Advanced LIGO: Gravity Spy glitch classifications
• Bayesian modelling of scattered light in the LIGO interferometers
• Identifying glitches near gravitational-wave signals from compact binary coalescences using the Q-transform