Improving astrophysical parameter estimation via offline noise subtraction for Advanced LIGO

Abstract

The Advanced LIGO detectors have recently completed their second observation run successfully. The run lasted for approximately 10 months and lead to multiple new discoveries. The sensitivity to gravitational waves was partially limited by correlated noise. Here, we utilize auxiliary sensors that witness these correlated noise sources, and use them for noise subtraction in the time domain data. This noise and line removal is particularly significant for the LIGO Hanford Observatory, where the improvement in sensitivity is greater than 20%. Consequently, we were also able to improve the astrophysical estimation for the location, masses, spins and orbital parameters of the gravitational wave progenitors.

References in corpus (20)

• Observation of Gravitational Waves from a Binary Black Hole Merger
• GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral
• Multi-messenger Observations of a Binary Neutron Star Merger
• Advanced LIGO
• GW151226: Observation of Gravitational Waves from a 22-Solar-Mass Binary Black Hole Coalescence
• GW170104: Observation of a 50-Solar-Mass Binary Black Hole Coalescence at Redshift 0.2
• GW170814: A Three-Detector Observation of Gravitational Waves from a Binary Black Hole Coalescence
• GW170608: Observation of a 19-solar-mass Binary Black Hole Coalescence
• Properties of the Binary Black Hole Merger GW150914
• Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library
• GW150914: The Advanced LIGO Detectors in the Era of First Discoveries
• The Sensitivity of the Advanced LIGO Detectors at the Beginning of Gravitational Wave Astronomy
• Analysis of spin precession in binary black hole systems including quadrupole-monopole interaction
• Fast and Accurate Inference on Gravitational Waves from Precessing Compact Binaries
• Directional limits on persistent gravitational waves from Advanced LIGO's first observing run
• Overview of Advanced LIGO Adaptive Optics
• Active noise cancellation in a suspended interferometer
• Regression of Environmental Noise in LIGO Data
• Increasing LIGO sensitivity by feedforward subtraction of auxiliary length control noise
• Global Feed-Forward Vibration Isolation in a km scale Interferometer

Cited by in corpus (72)

• GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs
• GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run
• GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run
• GW190425: Observation of a Compact Binary Coalescence with Total Mass $\sim 3.4M_{\odot }$
• GW170608: Observation of a 19-solar-mass Binary Black Hole Coalescence
• Tests of General Relativity with the Binary Black Hole Signals from the LIGO-Virgo Catalog GWTC-1
• Tests of General Relativity with Binary Black Holes from the second LIGO-Virgo Gravitational-Wave Transient Catalog
• GW190412: Observation of a Binary-Black-Hole Coalescence with Asymmetric Masses
• Sensitivity and Performance of the Advanced LIGO Detectors in the Third Observing Run
• A guide to LIGO-Virgo detector noise and extraction of transient gravitational-wave signals
• Search for the isotropic stochastic background using data from Advanced LIGO's second observing run
• LIGO Detector Characterization in the Second and Third Observing Runs
• Enhancing Gravitational-Wave Science with Machine Learning
• All-sky search for continuous gravitational waves from isolated neutron stars using Advanced LIGO O2 data
• Model comparison from LIGO-Virgo data on GW170817's binary components and consequences for the merger remnant
• Search for gravitational waves from a long-lived remnant of the binary neutron star merger GW170817
• Tests of General Relativity with GWTC-3
• Machine-learning non-stationary noise out of gravitational wave detectors
• Searches for Continuous-Wave Gravitational Radiation
• Searches for Gravitational Waves from Known Pulsars at Two Harmonics in 2015-2017 LIGO Data
• On the properties of the massive binary black hole merger GW170729
• All-sky search for short gravitational-wave bursts in the second Advanced LIGO and Advanced Virgo run
• Review of the Advanced LIGO gravitational wave observatories leading to observing run four
• Search for intermediate mass black hole binaries in the third observing run of Advanced LIGO and Advanced Virgo
• Terrestrial Gravity Fluctuations
• Noise Reduction in Gravitational-wave Data via Deep Learning
• Search for intermediate mass black hole binaries in the first and second observing runs of the Advanced LIGO and Virgo network
• Subtracting glitches from gravitational-wave detector data during the third observing run
• Directional limits on persistent gravitational waves using data from Advanced LIGO's first two observing runs
• Search methods for continuous gravitational-wave signals from unknown sources in the advanced-detector era
• Measuring the eccentricity of GW170817 and GW190425
• Modeling compact binary signals and instrumental glitches in gravitational wave data
• Possible Causes of False General Relativity Violations in Gravitational Wave Observations
• Results from the first all-sky search for continuous gravitational waves from small-ellipticity sources
• Testing General Relativity with Gravitational Waves: An Overview
• Constraining scalar-tensor theories by neutron star-balck hole gravitational wave events
• Point absorbers in Advanced LIGO
• Quantifying the Effect of Power Spectral Density Uncertainty on Gravitational-Wave Parameter Estimation for Compact Binary Sources
• Accurate modeling and mitigation of overlapping signals and glitches in gravitational-wave data
• First search for long-duration transient gravitational waves after glitches in the Vela and Crab pulsars
• First all-sky search for continuous gravitational-wave signals from unknown neutron stars in binary systems using Advanced LIGO data
• Machine learning for gravitational-wave detection: surrogate Wiener filtering for the prediction and optimized cancellation of Newtonian noise at Virgo
• Early warning of coalescing neutron-star and neutron-star-black-hole binaries from nonstationary noise background using neural networks
• Rapid and Robust Parameter Inference for Binary Mergers
• Identification and removal of non-Gaussian noise transients for gravitational wave searches
• Results from an extended Falcon all-sky survey for continuous gravitational waves
• The search for continuous gravitational waves from small-ellipticity sources at low frequencies
• Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection
• Search for binary black hole mergers in the third observing run of Advanced LIGO-Virgo using coherent WaveBurst enhanced with machine learning
• Utilizing the null stream of the Einstein Telescope
• Exploring gravitational-wave detection and parameter inference using Deep Learning methods
• Assessing and Mitigating the Impact of Glitches on Gravitational-Wave Parameter Estimation: a Model Agnostic Approach
• Observation of a potential future sensitivity limitation from ground motion at LIGO Hanford
• Establishing the significance of continuous gravitational-wave detections from known pulsars
• Glitch subtraction from gravitational wave data using adaptive spline fitting
• Exploring Supernova Gravitational Waves with Machine Learning
• Application of the independent component analysis to the iKAGRA data
• Bilinear noise subtraction at the GEO 600 observatory
• Incorporating information from LIGO data quality streams into the PyCBC search for gravitational waves
• Search for lensing signatures in the gravitational-wave observations from the first half of LIGO-Virgo's third observing run
• Seismic Background Limitation of Lunar Gravitational-wave Detectors
• A back-linked Fabry-Perot interferometer for space-borne gravitational wave observations
• Likelihood for a Network of Gravitational-Wave Detectors with Correlated Noise
• cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation
• Calibration of Advanced Virgo and reconstruction of detector strain h(t) during the Observing Run O3
• Nonlinear noise regression in gravitational-wave detectors with convolutional neural networks
• Null Stream Based Third-generation-ready Glitch Mitigation for Gravitational Wave Measurements
• DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
• Impact of noise transients on gravitational-wave burst detection efficiency of the BayesWave pipeline with multi-detector networks
• Limits on the Stochastic Gravitational Wave Background and Prospects for Single Source Detection with GRACE Follow-On
• Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets
• Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis