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Line-robust statistics for continuous gravitational waves: safety in the case of unequal detector sensitivities

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arxiv 1409.2696 v2 pith:TUOCQ4R2 submitted 2014-09-09 gr-qc

classification gr-qc
keywords f-statisticline-robuststatisticscontinuousdatadetectiongaussiangravitational
verification ladder T0 review T1 audit T2 compute T3 formal
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The multi-detector F-statistic is close to optimal for detecting continuous gravitational waves (CWs) in Gaussian noise. However, it is susceptible to false alarms from instrumental artefacts, for example quasi-monochromatic disturbances ('lines'), which resemble a CW signal more than Gaussian noise. In a recent paper [Keitel et al 2014, PRD 89 064023], a Bayesian model selection approach was used to derive line-robust detection statistics for CW signals, generalising both the F-statistic and the F-statistic consistency veto technique and yielding improved performance in line-affected data. Here we investigate a generalisation of the assumptions made in that paper: if a CW analysis uses data from two or more detectors with very different sensitivities, the line-robust statistics could be less effective. We investigate the boundaries within which they are still safe to use, in comparison with the F-statistic. Tests using synthetic draws show that the optimally-tuned version of the original line-robust statistic remains safe in most cases of practical interest. We also explore a simple idea on further improving the detection power and safety of these statistics, which we however find to be of limited practical use.

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  1. Adaptive cancellation of mains power interference in continuous gravitational wave searches with a hidden Markov model

    gr-qc 2024-12 conditional novelty 5.0 of 10

    An adaptive recursive least squares filter, referenced to mains-power monitor channels, suppresses the 60 Hz line in LIGO data so that a hidden Markov model can recover an injected, frequency-wandering continuous wave signal.

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