Effects of Data Quality Vetoes on a Search for Compact Binary Coalescences in Advanced LIGO's First Observing Run

Abstract

The first observing run of Advanced LIGO spanned 4 months, from September 12, 2015 to January 19, 2016, during which gravitational waves were directly detected from two binary black hole systems, namely GW150914 and GW151226. Confident detection of gravitational waves requires an understanding of instrumental transients and artifacts that can reduce the sensitivity of a search. Studies of the quality of the detector data yield insights into the cause of instrumental artifacts and data quality vetoes specific to a search are produced to mitigate the effects of problematic data. In this paper, the systematic removal of noisy data from analysis time is shown to improve the sensitivity of searches for compact binary coalescences. The output of the PyCBC pipeline, which is a python-based code package used to search for gravitational wave signals from compact binary coalescences, is used as a metric for improvement. GW150914 was a loud enough signal that removing noisy data did not improve its significance. However, the removal of data with excess noise decreased the false alarm rate of GW151226 by more than two orders of magnitude, from 1 in 770 years to less than 1 in 186000 years.

27 pages, 13 figures, published version

References in corpus (4)

• BayesWave: Bayesian Inference for Gravitational Wave Bursts and Instrument Glitches
• Coherent method for detection of gravitational wave bursts
• Implementing a search for aligned-spin neutron star -- black hole systems with advanced ground based gravitational wave detectors
• Distinguishing short duration noise transients in LIGO data to improve the PyCBC search for gravitational waves from high mass binary black hole mergers

Cited by in corpus (91)

• 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
• GW190521: A Binary Black Hole Merger with a Total Mass of $150M_{\odot }$
• Observation of gravitational waves from two neutron star-black hole coalescences
• GW190412: Observation of a Binary-Black-Hole Coalescence with Asymmetric Masses
• Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo
• Upper Limits on the Isotropic Gravitational-Wave Background from Advanced LIGO's and Advanced Virgo's 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
• Matching matched filtering with deep networks in gravitational-wave astronomy
• 2-OGC: Open Gravitational-wave Catalog of binary mergers from analysis of public Advanced LIGO and Virgo data
• 4-OGC: Catalog of gravitational waves from compact-binary mergers
• LIGO Detector Characterization in the Second and Third Observing Runs
• 1-OGC: The first open gravitational-wave catalog of binary mergers from analysis of public Advanced LIGO data
• Search for sub-solar mass ultracompact binaries in Advanced LIGO's second observing run
• PyCBC Live: Rapid Detection of Gravitational Waves from Compact Binary Mergers
• Identification and mitigation of narrow spectral artifacts that degrade searches for persistent gravitational waves in the first two observing runs of Advanced LIGO
• Machine-learning non-stationary noise out of gravitational wave detectors
• Search for sub-solar mass ultracompact binaries in Advanced LIGO's first observing run
• Mitigation of the instrumental noise transient in gravitational-wave data surrounding GW170817
• Low-Latency Gravitational Wave Alerts for Multi-Messenger Astronomy During the Second Advanced LIGO and Virgo Observing Run
• All-sky search for short gravitational-wave bursts in the second Advanced LIGO and Advanced Virgo run
• All-sky search for short gravitational-wave bursts in the third Advanced LIGO and Advanced Virgo run
• Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning
• Search for Eccentric Binary Neutron Star Mergers in the first and second observing runs of Advanced LIGO
• Search for intermediate mass black hole binaries in the first and second observing runs of the Advanced LIGO and Virgo network
• Detecting Gravitational Waves in Data with Non-Gaussian Noise
• Modeling compact binary signals and instrumental glitches in gravitational wave data
• Efficient Gravitational-wave Glitch Identification from Environmental Data Through Machine Learning
• Data quality up to the third observing run of Advanced LIGO: Gravity Spy glitch classifications
• Possible Causes of False General Relativity Violations in Gravitational Wave Observations
• Quantifying the Effect of Power Spectral Density Uncertainty on Gravitational-Wave Parameter Estimation for Compact Binary Sources
• Application of dictionary learning to denoise LIGO's blip noise transients
• Primordial Black Holes as Silver Bullets for New Physics at the Weak Scale
• Impact of noise transients on low latency gravitational-wave event localisation
• Improving the background of gravitational-wave searches for core collapse supernovae: A machine learning approach
• All-sky search for long-duration gravitational-wave transients in the second Advanced LIGO observing run
• A Search for Gravitational Waves from Binary Mergers with a Single Observatory
• Revisiting the evidence for precession in GW200129 with machine learning noise mitigation
• All-sky search for long-duration gravitational wave transients in the first Advanced LIGO observing run
• Observing an intermediate mass black hole GW190521 with minimal assumptions
• Rapid and Robust Parameter Inference for Binary Mergers
• pygwb: Python-based library for gravitational-wave background searches
• Parameterised population models of transient non-Gaussian noise in the LIGO gravitational-wave detectors
• Sub-threshold binary neutron star search in Advanced LIGO's first observing run
• Search for gravitational waves from twelve young supernova remnants with a hidden Markov model in Advanced LIGO's second observing run
• An autoencoder neural network integrated into gravitational-wave burst searches to improve the rejection of noise transients
• Simulating Transient Noise Bursts in LIGO with Generative Adversarial Networks
• Unveiling the spectrum of inspiralling binary black holes
• End benches scattered light modeling and subtraction in Advanced Virgo
• Applications of machine learning in gravitational wave research with current interferometric detectors
• Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow
• A Joint Fermi-GBM and LIGO/Virgo Analysis of Compact Binary Mergers From the First and Second Gravitational-wave Observing Runs
• Establishing the significance of continuous gravitational-wave detections from known pulsars
• Investigating the noise residuals around the gravitational wave event GW150914
• Glitch subtraction from gravitational wave data using adaptive spline fitting
• The astrophysical odds of GW151216
• Assessing gravitational-wave binary black hole candidates with Bayesian odds
• Hierarchical approach to matched filtering using a reduced basis
• SiGMa-Net: Deep learning network to distinguish binary black hole signals from short-duration noise transients
• Bayesian modelling of scattered light in the LIGO interferometers
• Characterization of low-significance gravitational-wave compact binary sources
• Search for Advanced LIGO Single Interferometer Compact Binary Coalescence Signals in Coincidence with Gamma-Ray Events in Fermi-GBM
• Incorporating information from LIGO data quality streams into the PyCBC search for gravitational waves
• Noise in the LIGO Livingston Gravitational Wave Observatory due to Trains
• A Coincidence Null Test for Poisson-Distributed Events
• Robust inference of gravitational wave source parameters in the presence of noise transients using normalizing flows
• A Sensitive Test of Non-Gaussianity in Gravitational-wave Detector Data
• A convolutional neural network to distinguish glitches from minute-long gravitational wave transients
• Sensitivity of spin-aligned searches for neutron star-black hole systems using future detectors
• Deep Learning for estimating parameters of Gravitational Waves
• Wavelet-based tools to analyze, filter, and reconstruct transient gravitational-wave signals
• cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation
• Novel Deep Learning Approach to Detecting Binary Black Hole Mergers
• Gravitational-wave searches in the era of Advanced LIGO and Virgo
• Null Stream Based Third-generation-ready Glitch Mitigation for Gravitational Wave Measurements
• Identifying and Mitigating Machine Learning Biases for the Gravitational Wave Detection Problem
• DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
• All-sky search for long-duration gravitational-wave bursts in the third Advanced LIGO and Advanced Virgo run
• Leveraging cross-detector parameter consistency measures to enhance sensitivities of gravitational wave searches
• Long Journey toward the Detection of Gravitational Waves and New Era of Gravitational Wave Astrophysics
• Improved binary black hole searches through better discrimination against noise transients
• Sensing and vetoing loud transient noises for the gravitational-wave detection
• Unmasking noise transients masquerading as intermediate-mass black hole binaries
• Alive publication
• Glitch veto based on unphysical gravitational wave binary inspiral templates
• Improved Binary Black Hole Search Discriminator from the Singular Value Decomposition of Non-Gaussian Noise Transients
• A New Framework to Detect Multi-Messenger Signals from Bright Sporadic Stochastic Gravitational Wave Background
• Search for sub-solar primordial black holes in low mass ratio binaries with LIGO-Virgo O2 data and implications for the primordial black hole dark matter fraction
• Hierarchical search for compact binary coalescences in the Advanced LIGO's first two observing runs