A guide to LIGO–Virgo detector noise and extraction of transient gravitational-wave signals
Name
Abbott_2020_Class._Quantum_Grav._37_055002.pdf
Description
Published version
Size
6.33 MB
Format
Unknown
Checksum (MD5)
0bdb2cf26d391d17da09ff4827af0c73
Author(s)
LIGO Scientific Collaboration
Virgo Collaboration
Aggarwal, Nancy
Barnum, Sam
Barsotti, Lisa
Biscans, Sebastien
Buikema, Aaron
Demos, Nicholas
Donovan, Frederick J
Eisenstein, Robert Alan
Date Issued
2020
Journal
Classical and Quantum Gravity
Publisher
IOP Publishing
Version
Final published version
Abstract
© 2020 IOP Publishing Ltd. 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.
MIT Department
LIGO (Observatory : Massachusetts Institute of Technology)
Massachusetts Institute of Technology. Department of Physics
MIT Kavli Institute for Astrophysics and Space Research
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1088/1361-6382/AB685E
