Essick, Reed http://orcid.org/0000-0001-8196-9267
Godwin, Patrick
Hanna, Chad
Blackburn, Lindy
Katsavounidis, Erik
Funding for this research was provided by:
National Science Foundation (OAC-1642391, OAC-1841480, PHY-0757058, PHY-0823459, PHY-1454389)
Kavli Foundation
Journal title: Machine Learning: Science and Technology
Article type: paper
Article title: iDQ: Statistical inference of non-gaussian noise with auxiliary degrees of freedom in gravitational-wave detectors
Copyright information: © 2020 The Author(s). Published by IOP Publishing Ltd
License information: cc-by Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Publication dates
Date received: 2020-05-28
Date accepted: 2020-07-31
Online publication date: 2020-12-01