Standard detection and analysis techniques for transient gravitational waves make the assumption that detector data contains, at most, one signal at any time. As detectors improve in sensitivity, this assumption will no longer be valid. In this paper we examine how current search techniques for transient gravitational waves will behave under the presence of more than one signal. We perform searches on simulated data sets containing time-overlapping compact binary coalescences. This includes a modelled, matched filter search (PyCBC), and an unmodelled coherent search, coherent WaveBurst (cWB). Both of these searches are used by the LIGO-Virgo-KAGRA collaboration [1]. We find that both searches are capable of identifying both signals correctly when the signals are dissimilar in merger time, |∆tc| ≥ 1 s, with PyCBC missing only 1% of the overlapping binary black hole mergers it was provided. Both pipelines can find signal pairings within the region |∆tc| < 1 s. However, clustering routines in the pipelines will cause only one of the two signals to be recovered, as such the efficiency is reduced. Within this region, we find that cWB can identify both signals. We also find that matched filter searches can be modified to provide estimates of the correct parameters for each signal.
Addressing the challenges of detecting time-overlapping compact binary coalescences
Claudia Lazzaro;
2022-01-01
Abstract
Standard detection and analysis techniques for transient gravitational waves make the assumption that detector data contains, at most, one signal at any time. As detectors improve in sensitivity, this assumption will no longer be valid. In this paper we examine how current search techniques for transient gravitational waves will behave under the presence of more than one signal. We perform searches on simulated data sets containing time-overlapping compact binary coalescences. This includes a modelled, matched filter search (PyCBC), and an unmodelled coherent search, coherent WaveBurst (cWB). Both of these searches are used by the LIGO-Virgo-KAGRA collaboration [1]. We find that both searches are capable of identifying both signals correctly when the signals are dissimilar in merger time, |∆tc| ≥ 1 s, with PyCBC missing only 1% of the overlapping binary black hole mergers it was provided. Both pipelines can find signal pairings within the region |∆tc| < 1 s. However, clustering routines in the pipelines will cause only one of the two signals to be recovered, as such the efficiency is reduced. Within this region, we find that cWB can identify both signals. We also find that matched filter searches can be modified to provide estimates of the correct parameters for each signal.File | Dimensione | Formato | |
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PhysRevD.106.104045.pdf
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