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An architecture for efficient gravitational wave parameter estimation with multimodal linear surrogate models

O’Shaughnessy, Richard and Blackman, Jonathan and Field, Scott E. (2017) An architecture for efficient gravitational wave parameter estimation with multimodal linear surrogate models. Classical and Quantum Gravity, 34 (14). Art. No. 144002. ISSN 0264-9381. http://resolver.caltech.edu/CaltechAUTHORS:20170630-093341874

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Abstract

The recent direct observation of gravitational waves has further emphasized the desire for fast, low-cost, and accurate methods to infer the parameters of gravitational wave sources. Due to expense in waveform generation and data handling, the cost of evaluating the likelihood function limits the computational performance of these calculations. Building on recently developed surrogate models and a novel parameter estimation pipeline, we show how to quickly generate the likelihood function as an analytic, closed-form expression. Using a straightforward variant of a production-scale parameter estimation code, we demonstrate our method using surrogate models of effective-one-body and numerical relativity waveforms. Our study is the first time these models have been used for parameter estimation and one of the first ever parameter estimation calculations with multi-modal numerical relativity waveforms, which include all ℓ ⩽ 4 modes. Our grid-free method enables rapid parameter estimation for any waveform with a suitable reduced-order model. The methods described in this paper may also find use in other data analysis studies, such as vetting coincident events or the computation of the coalescing-compact-binary detection statistic.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1088/1361-6382/aa7649DOIArticle
http://iopscience.iop.org/article/10.1088/1361-6382/aa7649/metaPublisherArticle
https://arxiv.org/abs/1701.01137arXivDiscussion Paper
Additional Information:© 2017 IOP Publishing Ltd. Received 5 January 2017; Accepted 1 June 2017; Accepted Manuscript online 1 June 2017; Published 27 June 2017. We acknowledge helpful discussions with Chad Galley and Rory Smith, Chad Galley for significant coding effort on the gwsurrogate project, and both anonymous reviewers for numerous helpful suggestions. R O'Shaughnessy was supported by NSF PHY-1505629 and PHY 1607520. S Field was partially supported by the NSF under award nos. TCAN AST-1333129 and PHY-1606654, and by the Sherman Fairchild Foundation. The group gratefully acknowledges Caltech and AEI-Hannover for computational resources.
Group:TAPIR, Walter Burke Institute for Theoretical Physics
Funders:
Funding AgencyGrant Number
NSFPHY-1505629
NSFPHY-1607520
NSFAST-1333129
NSFPHY-1606654
Sherman Fairchild FoundationUNSPECIFIED
Subject Keywords:gravitational waves, surrogate models, parameter estimation
Record Number:CaltechAUTHORS:20170630-093341874
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20170630-093341874
Official Citation:Richard O'Shaughnessy et al 2017 Class. Quantum Grav. 34 144002
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:78717
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:30 Jun 2017 16:44
Last Modified:30 Jun 2017 16:44

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