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

Abbott, B P and Abbott, R and Abbott, T D and Somala, S N and et al, . (2020) A guide to LIGO-Virgo detector noise and extraction of transient gravitational-wave signals. Classical and Quantum Gravity, 37 (055002). ISSN 0264-9381

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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.

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IITH Creators:
IITH CreatorsORCiD
Somala, S NUNSPECIFIED
Item Type: Article
Uncontrolled Keywords: Gravitational Waves, LIGO (Observatory), Black Holes
Subjects: Civil Engineering > Geosystems
Civil Engineering > Earthquake Engineering
Divisions: Department of Civil Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 24 Mar 2021 10:22
Last Modified: 24 Mar 2021 10:22
URI: http://raiithold.iith.ac.in/id/eprint/7718
Publisher URL: https://doi.org/10.1088/1361-6382/ab685e
OA policy: https://v2.sherpa.ac.uk/id/publication/11260
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