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Gravitational-wave astronomy with a physical calibration model

Payne, Ethan and Talbot, Colm and Lasky, Paul D. and Thrane, Eric and Kissel, Jeffrey S. (2020) Gravitational-wave astronomy with a physical calibration model. Physical Review D, 102 (12). Art. No. 122004. ISSN 2470-0010. https://resolver.caltech.edu/CaltechAUTHORS:20201218-095600442

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Abstract

We carry out astrophysical inference for compact binary merger events in LIGO-Virgo’s first gravitational-wave transient catalog (GWTC-1) using a physically motivated calibration model. We demonstrate that importance sampling can be used to reduce the cost of what would otherwise be a computationally challenging analysis for signal-to-noise ratios of current gravitational-wave detections. We show that including the physical estimate for the calibration error distribution has negligible impact on the inference of parameters for the events in GWTC-1. Studying a simulated signal with matched filter signal-to-noise ratio SNR = 200, we project that a calibration error estimate typical of GWTC-1 is likely to be negligible for the current generation of gravitational-wave detectors. We argue that other sources of systematic error—from waveforms, prior distributions, and noise modeling—are likely to be more important. Finally, using the events in GWTC-1 as standard sirens, we infer an astrophysically informed improvement on the estimate of the calibration error in the LIGO interferometers.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1103/physrevd.102.122004DOIArticle
https://arxiv.org/abs/2009.10193arXivDiscussion Paper
ORCID:
AuthorORCID
Payne, Ethan0000-0003-4507-8373
Talbot, Colm0000-0003-2053-5582
Lasky, Paul D.0000-0003-3763-1386
Thrane, Eric0000-0002-4418-3895
Kissel, Jeffrey S.0000-0002-1702-9577
Additional Information:© 2020 American Physical Society. (Received 22 September 2020; accepted 10 November 2020; published 18 December 2020) We thank Salvatore Vitale, Carl-Johan Haster, Lilli Sun, Ben Farr, and Evan Goetz for insightful comments and sharing an early version of their manuscript. We thank Nikhil Sarin and Rory Smith in providing guidance for the use of pbilby. We thank Greg Mendell and Rick Savage for thoughtful discussions, and Reed Essick for helpful comments on the manuscript. This work is supported through Australian Research Council (ARC) Centre of Excellence CE170100004. E. P. acknowledges the support of the LSC Fellows program. P. D. L. is supported through ARC Future Fellowship FT160100112, and ARC Discovery Project DP180103155. E. T. is supported through ARC Future Fellowship FT150100281. This is document LIGO-P2000294. This research has made use of data, software, and/or web tools obtained from the Gravitational Wave Open Science Center [62], a service of LIGO Laboratory, the LIGO Scientific Collaboration, and the Virgo Collaboration. 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. Computing was performed with computing clusters at California Institute of Technology (LIGO Laboratory) and Swinburne University of Technology (OzSTAR). We thank all of the essential workers who put their health at risk during the COVID-19 pandemic, without whom we would not have been able to complete this work.
Group:LIGO
Funders:
Funding AgencyGrant Number
Australian Research CouncilCE170100004
Australian Research CouncilFT160100112
Australian Research CouncilDP180103155
Australian Research CouncilFT150100281
NSFPHY-0757058
NSFPHY-0823459
Other Numbering System:
Other Numbering System NameOther Numbering System ID
LIGO DocumentP2000294
Issue or Number:12
Record Number:CaltechAUTHORS:20201218-095600442
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20201218-095600442
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107189
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:18 Dec 2020 20:15
Last Modified:18 Dec 2020 20:15

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