Abstract
We present a new gating method to remove non-Gaussian noise transients in gravitational-wave data. The method does not rely on any a priori knowledge on the amplitude or duration of the transient events. In light of the character of the newly released LIGO O3a data, glitch-identification is particularly relevant for searches using this data. Our method preserves more data than previously achieved, while obtaining the same, if not higher, noise reduction. We achieve a $\ensuremath{\approx}2$-fold reduction in zeroed-out data with respect to the gates released by LIGO on the O3a data. We describe the method and characterise its performance. While developed in the context of searches for continuous signals, this method can be used to prepare gravitational-wave data for any search. As the cadence of compact-binary inspiral detections increases and the lower noise level of the instruments unveils new glitches, excising disturbances effectively, precisely, and in a timely manner, becomes more important. Our method does this. We release the source code associated with this new technique and the gates for the newly released O3 data.
Highlights
While many loud gravitational-wave signals have been detected, much of the high precision science and new discoveries in the nascent field of gravitational-wave astronomy will benefit from noise-characterization and noise-mitigation techniques [1,2,3,4,5,6,7,8].The data of gravitational-wave detectors is dominated by noise
In light of the character of the newly released LIGO O3 data (O3a) data, glitch-identification is relevant for searches using this data
We achieve a ≈2-fold reduction in zeroed-out data with respect to the gates released by LIGO on the O3a data
Summary
While many loud gravitational-wave signals have been detected, much of the high precision science and new discoveries in the nascent field of gravitational-wave astronomy will benefit from noise-characterization and noise-mitigation techniques [1,2,3,4,5,6,7,8]. Two noise-mitigating techniques are typically used to prepare the gravitational-wave data for searches: gating, performed in the time-domain and line-cleaning, performed in the frequency domain. Speaking, the former is used to remove loud glitches and the latter to remove spectral lines. Our gating procedure does not rely on any single fixed threshold that establishes what data should be gated, but rather it adjusts the threshold based on the achieved noise reduction These are important features when the glitches vary much from dataset to dataset, and within the same dataset, because the method does not require time-intensive tuning of ad-hoc parameters.
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