Results of the deepest all-sky survey for continuous gravitational waves on LIGO S6 data running on the Einstein@Home volunteer distributed computing project

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Abbott, B. P. and Jawahar, S. and Lockerbie, N.A. and Tokmakov, K.V., LIGO Scientific Collaboration and Virgo Collaboration (2016) Results of the deepest all-sky survey for continuous gravitational waves on LIGO S6 data running on the Einstein@Home volunteer distributed computing project. Physical Review D, 94 (10). 102002. ISSN 1550-2368 (https://doi.org/10.1103/PhysRevD.94.102002)

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Abstract

We report results of a deep all-sky search for periodic gravitational waves from isolated neutron stars in data from the S6 LIGO science run. The search was possible thanks to the computing power provided by the volunteers of the Einstein@Home distributed computing project. We find no significant signal candidate and set the most stringent upper limits to date on the amplitude of gravitational wave signals from the target population. At the frequency of best strain sensitivity, between 170.5 and 171 Hz we set a 90% confidence upper limit of 5.5×10-25, while at the high end of our frequency range, around 505 Hz, we achieve upper limits ≃10-24. At 230 Hz we can exclude sources with ellipticities greater than 10-6 within 100 pc of Earth with fiducial value of the principal moment of inertia of 1038 kg m2. If we assume a higher (lower) gravitational wave spin-down we constrain farther (closer) objects to higher (lower) ellipticities.

ORCID iDs

Abbott, B. P., Jawahar, S. ORCID logoORCID: https://orcid.org/0000-0002-4945-691X, Lockerbie, N.A. ORCID logoORCID: https://orcid.org/0000-0002-1678-3260 and Tokmakov, K.V. ORCID logoORCID: https://orcid.org/0000-0002-2808-6593;
  • Item type:Article
    ID code:60944
    Dates:
    Date
    Event
    18 November 2016
    Published
    6 July 2016
    Accepted
    Notes:Please consult manuscript for full attribution details
    Subjects:Science > Physics
    Department:Faculty of Science > Physics
    Depositing user: Pure Administrator
    Date deposited:14 Jun 2017 13:59
    Last modified:11 Nov 2024 11:43
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/60944
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