Statistical characterization of pulsar glitches and their potential impact on searches for continuous gravitational waves

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Ashton, G.; Prix, R.; Jones, D.I.: Statistical characterization of pulsar glitches and their potential impact on searches for continuous gravitational waves. In: Physical Review D 96 (2017), Nr. 6, 63004. DOI: https://doi.org/10.1103/PhysRevD.96.063004

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Abstract: 
Continuous gravitational waves from neutron stars could provide an invaluable resource to learn about their interior physics. A common search method involves matched filtering a modeled template against the noisy gravitational-wave data to find signals. This method suffers a mismatch (i.e., relative loss of the signal-to-noise ratio) if the signal deviates from the template. One possible instance in which this may occur is if the neutron star undergoes a glitch, a sudden rapid increase in the rotation frequency seen in the timing of many radio pulsars. In this work, we use a statistical characterization of the glitch rate and size in radio pulsars to estimate how often neutron star glitches would occur within the parameter space of continuous gravitational-wave searches and how much mismatch putative signals would suffer in the search due to these glitches. We find that for many previous and potential future searches continuous-wave signals have an elevated probability of undergoing one or more glitches and that these glitches will often lead to a substantial fraction of the signal-to-noise ratio being lost. This could lead to a failure to identify candidate gravitational-wave signals in the initial stages of a search and also to the false dismissal of candidates in subsequent follow-up stages. © 2017 authors. Published by the American Physical Society. Published by the American Physical Society under the terms of the »https://creativecommons.org/licenses/by/4.0/» Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
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1 image of flag of Germany Germany 90 73.17%
2 image of flag of United States United States 19 15.45%
3 image of flag of China China 7 5.69%
4 image of flag of Hungary Hungary 2 1.63%
5 image of flag of Belarus Belarus 2 1.63%
6 image of flag of Taiwan Taiwan 1 0.81%
7 image of flag of Russian Federation Russian Federation 1 0.81%
8 image of flag of Indonesia Indonesia 1 0.81%

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