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A guide to LIGO–Virgo detector noise and extraction of transient gravitational-wave signals

Citation

Abbott, BP and Abbott, R and Siellez, K and The LIGO Scientific Collaboration and the Virgo Collaboration, A guide to LIGO-Virgo detector noise and extraction of transient gravitational-wave signals, Classical and Quantum Gravity, 37, (5) Article 055002. ISSN 0264-9381 (2020) [Refereed Article]


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DOI: doi:10.1088/1361-6382/ab685e

Abstract

The LIGO Scientific Collaboration and the Virgo Collaboration have cataloged eleven confidently detected gravitational-wave events during the first two observing runs of the advanced detector era. All eleven events were consistent with being from well-modeled mergers between compact stellar-mass objects: black holes or neutron stars. The data around the time of each of these events have been made publicly available through the gravitational-wave open science center. The entirety of the gravitational-wave strain data from the first and second observing runs have also now been made publicly available. There is considerable interest among the broad scientific community in understanding the data and methods used in the analyses. In this paper, we provide an overview of the detector noise properties and the data analysis techniques used to detect gravitational-wave signals and infer the source properties. We describe some of the checks that are performed to validate the analyses and results from the observations of gravitational-wave events. We also address concerns that have been raised about various properties of LIGO–Virgo detector noise and the correctness of our analyses as applied to the resulting data.

Item Details

Item Type:Refereed Article
Keywords:gravitational waves, data analysis, gravitational wave detectors
Research Division:Physical Sciences
Research Group:Astronomical sciences
Research Field:General relativity and gravitational waves
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the physical sciences
UTAS Author:Siellez, K (Dr Karelle Siellez)
ID Code:150404
Year Published:2020
Web of Science® Times Cited:83
Deposited By:Physics
Deposited On:2022-06-13
Last Modified:2022-06-13
Downloads:0

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