CaltechAUTHORS
  A Caltech Library Service

Modeling compact binary signals and instrumental glitches in gravitational wave data

Chatziioannou, Katerina and Cornish, Neil and Wijngaarden, Marcella and Littenberg, Tyson B. (2021) Modeling compact binary signals and instrumental glitches in gravitational wave data. Physical Review D, 103 (4). Art. No. 044013. ISSN 2470-0010. https://resolver.caltech.edu/CaltechAUTHORS:20210209-153956270

[img] PDF - Published Version
See Usage Policy.

6Mb
[img] PDF - Accepted Version
Creative Commons Attribution.

22Mb

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20210209-153956270

Abstract

Transient non-Gaussian noise in gravitational wave detectors, commonly referred to as glitches, pose challenges for detection and inference of the astrophysical properties of detected signals when the two are coincident in time. Current analyses aim toward modeling and subtracting the glitches from the data using a flexible, morphology-independent model in terms of sine-Gaussian wavelets before the signal source properties are inferred using templates for the compact binary signal. We present a new analysis of gravitational wave data that contain both a signal and glitches by simultaneously modeling the compact binary signal in terms of templates and the instrumental glitches using sine-Gaussian wavelets. The model for the glitches is generic and can thus be applied to a wide range of glitch morphologies without any special tuning. The simultaneous modeling of the astrophysical signal with templates allows us to efficiently separate the signal from the glitches, as we demonstrate using simulated signals injected around real O2 glitches in the two LIGO detectors. We show that our new proposed analysis can separate overlapping glitches and signals, estimate the compact binary parameters, and provide ready-to-use glitch-subtracted data for downstream inference analyses.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1103/physrevd.103.044013DOIArticle
https://arxiv.org/abs/2101.01200arXivDiscussion Paper
ORCID:
AuthorORCID
Chatziioannou, Katerina0000-0002-5833-413X
Cornish, Neil0000-0002-7435-0869
Littenberg, Tyson B.0000-0002-9574-578X
Additional Information:© 2021 American Physical Society. Received 4 January 2021; accepted 13 January 2021; published 8 February 2021. We thank Derek Davis, Laura Nuttall, and Jessica McIver for sharing preliminary results and datasets for LIGO glitches and CBC injections. This research has made use of data, software and/or web tools obtained from the Gravitational Wave Open Science Center ([46]), a service of LIGO Laboratory, the LIGO Scientific Collaboration and the Virgo Collaboration. LIGO is funded by the U.S. National Science Foundation. Virgo is funded by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale della Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by Polish and Hungarian institutes. The authors are grateful for computational resources provided by the LIGO Laboratory and supported by National Science Foundation Grants No. PHY-0757058 and No. PHY-0823459. N. J. C. appreciates the support provided by NSF Grant No. PHY-1912053. M. W. gratefully acknowledges support and hospitality from the Simons Foundation through the pre-doctoral program at the Center for Computational Astrophysics, Flatiron Institute. The Flatiron Institute is supported by the Simons Foundation. Software: gwpy [47], matplotlib [48].
Group:LIGO, Astronomy Department
Funders:
Funding AgencyGrant Number
Centre National de la Recherche Scientifique (CNRS)UNSPECIFIED
Istituto Nazionale di Fisica Nucleare (INFN)UNSPECIFIED
NikhefUNSPECIFIED
NSFPHY-0757058
NSFPHY-0823459
NSFPHY-1912053
Simons FoundationUNSPECIFIED
Issue or Number:4
Record Number:CaltechAUTHORS:20210209-153956270
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210209-153956270
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107974
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:09 Feb 2021 23:53
Last Modified:09 Feb 2021 23:53

Repository Staff Only: item control page