Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/124022
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Type: Journal article
Title: A guide to LIGO-Virgo detector noise and extraction of transient gravitational-wave signals
Author: Abbott, B.P.
Abbott, R.
Abbott, T.D.
Abraham, S.
Acernese, F.
Ackley, K.
Adams, C.
Adya, V.B.
Affeldt, C.
Agathos, M.
Agatsuma, K.
Aggarwal, N.
Aguiar, O.D.
Aiello, L.
Ain, A.
Ajith, P.
Alford, T.
Allen, G.
Allocca, A.
Aloy, M.A.
et al.
Citation: Classical and Quantum Gravity, 2020; 37(5):055002-055002
Publisher: IOP Publishing
Issue Date: 2020
ISSN: 0264-9381
1361-6382
Statement of
Responsibility: 
B P Abbott, R Abbott ... Miftar Ganija … Craig Ingram … David J. Ottaway … Peter J. Veitch ... et al.
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.
Keywords: Gravitational waves; data analysis; gravitational wave detectors
Rights: © 2020 IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
DOI: 10.1088/1361-6382/ab685e
Grant ID: http://purl.org/au-research/grants/arc/CE170100004
http://purl.org/au-research/grants/arc/LE170100217
Published version: http://dx.doi.org/10.1088/1361-6382/ab685e
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