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Search for continuous gravitational waves: Improving robustness versus instrumental artifacts

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arxiv 1311.5738 v2 pith:FWOYVAIB submitted 2013-11-22 gr-qc

classification gr-qc
keywords artifactshypothesissignalf-statisticlinedatainstrumentalnoise
verification ladder T0 review T1 audit T2 compute T3 formal
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The standard multidetector F-statistic for continuous gravitational waves is susceptible to false alarms from instrumental artifacts, for example monochromatic sinusoidal disturbances ('lines'). This vulnerability to line artifacts arises because the F-statistic compares the signal hypothesis to a Gaussian-noise hypothesis, and hence is triggered by anything that resembles the signal hypothesis more than Gaussian noise. Various ad-hoc veto methods to deal with such line artifacts have been proposed and used in the past. Here we develop a Bayesian framework that includes an explicit alternative hypothesis to model disturbed data. We introduce a simple line model that defines lines as signal candidates appearing only in one detector. This allows us to explicitly compute the odds between the signal hypothesis and an extended noise hypothesis, resulting in a new detection statistic that is more robust to instrumental artifacts. We present and discuss results from Monte-Carlo tests on both simulated data and on detector data from the fifth LIGO science run. We find that the line-robust statistic retains the detection power of the standard F-statistic in Gaussian noise. In the presence of line artifacts it is more sensitive, even compared to the popular F-statistic consistency veto, over which it improves by as much as a factor of two in detectable signal strength.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Search for continuous gravitational waves from the pulsar J0435+3233

    gr-qc 2026-07 accept novelty 6.0 of 10

    A LIGO O4a search for continuous gravitational waves from millisecond pulsar J0435+3233 finds no signal, setting h0<5.8×10^-27 at 95% confidence and an ellipticity limit of 1.6×10^-8.

  2. The G347.3-0.5 outlier from O3: a follow-up case study for continuous gravitational-wave candidates

    gr-qc 2026-08 conditional novelty 5.0 of 10

    Multi-pipeline follow-up recovers the G347.3-0.5 outlier in O3 data but finds no standard persistent continuous-wave signal in O4a or O4b, disfavouring the astrophysical interpretation under the assumed model.

  3. Applications of machine learning in gravitational wave research with current interferometric detectors

    gr-qc 2024-12 unverdicted

    A community review of machine learning in current gravitational-wave detectors, mapping where ML already works in production (noise subtraction, glitch classification, low-latency classification) and where traditional...

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