Impact of noise transients on gravitational-wave burst detection efficiency of the BayesWave pipeline with multi-detector networks

Abstract

Detection confidence of the source-agnostic gravitational-wave burst search pipeline BayesWave is quantified by the log signal-versus-glitch Bayes factor, $\ln {\mathcal{B}}_{\mathcal{S},\mathcal{G}}$. A recent study shows that $\ln {\mathcal{B}}_{\mathcal{S},\mathcal{G}}$ increases with the number of detectors. However, the increasing frequency of non-Gaussian noise transients (glitches) in expanded detector networks is not accounted for in the study. Glitches can mimic or mask burst signals resulting in false alarm detections, consequently reducing detection confidence. This paper an empirical study on the impact of false alarms on the overall performance of BayesWave, with expanded detector networks. The noise background of BayesWave for the Hanford-Livingston (HL, two-detector) and Hanford-Livingston-Virgo (HLV, three-detector) networks are measured using a set of non-astrophysical background triggers from the first half of Advanced LIGO and Advanced Virgo's Third Observing Run (O3a). Efficiency curves are constructed by combining $\ln {\mathcal{B}}_{\mathcal{S},\mathcal{G}}$ of simulated binary black hole signals with the background measurements, to characterize BayesWave's detection efficiency as a function of the per-trigger false alarm probability. The HL and HLV network efficiency curves are shown to be similar. A separate analysis finds that detection significance of O3 gravitational-wave candidates as measured by BayesWave are also comparable for the HL and HLV networks. Consistent results from the two independent analyses suggests that the overall burst detection performance of BayesWave does not improve with the addition of Virgo at O3a sensitivity, because the increased false alarm probability offsets the advantage of higher $\ln {\mathcal{B}}_{\mathcal{S},\mathcal{G}}$.

16 pages, 8 figures

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