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Tracking continuous gravitational waves from a neutron star at once and twice the spin frequency with a hidden Markov model

Sun, Ling and Melatos, Andrew and Lasky, Paul D. (2019) Tracking continuous gravitational waves from a neutron star at once and twice the spin frequency with a hidden Markov model. Physical Review D, 99 (12). Art. No. 123010. ISSN 2470-0010. doi:10.1103/physrevd.99.123010. https://resolver.caltech.edu/CaltechAUTHORS:20190613-112021527

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Abstract

Searches for continuous gravitational waves from rapidly spinning neutron stars normally assume that the star rotates about one of its principal axes of moment of inertia, and hence the gravitational radiation emits only at twice the spin frequency of the star, 2f⋆. The superfluid interior of a star pinned to the crust along an axis nonaligned with any of its principal axes allows the star to emit gravitational waves at both f⋆ and 2f⋆, even without free precession, a phenomenon not clearly observed in known pulsars. The dual-harmonic emission mechanism motivates searches combining the two frequency components of a signal to improve signal-to-noise ratio. We describe an economical, semicoherent, dual-harmonic search method, combined with a maximum likelihood coherent matched filter, F-statistic, and improved from an existing hidden Markov model (HMM) tracking scheme to track two frequency components simultaneously. We validate the method and demonstrate its performance through Monte Carlo simulations. We find that for sources emitting gravitational waves at both f⋆ and 2f⋆, the rate of correctly recovering synthetic signals (i.e., detection efficiency), at a given false alarm probability, can be improved by ∼10%–70% by tracking two frequencies simultaneously compared to tracking a single component only. For sources emitting at 2f⋆ only, dual-harmonic tracking only leads to minor sensitivity loss, producing ≲10% lower detection efficiency than tracking a single component. In directed continuous-wave searches where f⋆ is unknown and hence the full frequency band is searched, the computationally efficient HMM tracking algorithm provides an option of conducting both the dual-harmonic search and the conventional single frequency tracking to obtain optimal sensitivity, with a typical run time of ∼10^3 core-hr for one year’s observation.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1103/physrevd.99.123010DOIArticle
https://arxiv.org/abs/1903.03866arXivDiscussion Paper
ORCID:
AuthorORCID
Sun, Ling0000-0001-7959-892X
Lasky, Paul D.0000-0003-3763-1386
Additional Information:© 2019 American Physical Society. Received 9 March 2019; published 13 June 2019. We are grateful to the LIGO and Virgo Continuous Wave Working Group for informative discussions, and S. Walsh for the review and comments. LIGO was constructed by the California Institute of Technology and Massachusetts Institute of Technology with funding from the National Science Foundation, and operates under Cooperative Agreement No. PHY-0757058. Advanced LIGO was built under Grant No. PHY-0823459. P. D. Lasky is supported through ARC Future Fellowship No. FT160100112 and Discovery Project No. DP180103155. The research is also supported by Australian Research Council (ARC) Discovery Project No. DP170103625 and the ARC Centre of Excellence for Gravitational Wave Discovery No. CE170100004. This paper carries LIGO Document No. LIGO-P1900029.
Group:LIGO
Funders:
Funding AgencyGrant Number
NSFPHY-0757058
NSFPHY-0823459
Australian Research CouncilFT160100112
Australian Research CouncilDP180103155
Australian Research CouncilDP170103625
Australian Research CouncilCE170100004
Other Numbering System:
Other Numbering System NameOther Numbering System ID
LIGO DocumentP1900029
Issue or Number:12
DOI:10.1103/physrevd.99.123010
Record Number:CaltechAUTHORS:20190613-112021527
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190613-112021527
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:96388
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:13 Jun 2019 18:28
Last Modified:16 Nov 2021 17:20

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