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Enhancing the significance of gravitational wave bursts through signal classification

Vinciguerra, S, Drago, M, Prodi, G A, Klimenko, S, Lazzaro, C, Necula, V, Salemi, F, Tiwari, Vaibhav, Tringali, M C and Vedovato, G 2017. Enhancing the significance of gravitational wave bursts through signal classification. Classical and Quantum Gravity 34 (9) , 094003. 10.1088/1361-6382/aa6654

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The quest to observe gravitational waves challenges our ability to discriminate signals from detector noise. This issue is especially relevant for transient gravitational waves searches with a robust eyes wide open approach, the so called all-sky burst searches. Here we show how signal classification methods inspired by broad astrophysical characteristics can be implemented in all-sky burst searches preserving their generality. In our case study, we apply a multivariate analyses based on artificial neural networks to classify waves emitted in compact binary coalescences. We enhance by orders of magnitude the significance of signals belonging to this broad astrophysical class against the noise background. Alternatively, at a given level of mis-classification of noise events, we can detect about 1/4 more of the total signal population. We also show that a more general strategy of signal classification can actually be performed, by testing the ability of artificial neural networks in discriminating different signal classes. The possible impact on future observations by the LIGO-Virgo network of detectors is discussed by analysing recoloured noise from previous LIGO-Virgo data with coherent WaveBurst, one of the flagship pipelines dedicated to all-sky searches for transient gravitational waves.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Physics and Astronomy
Subjects: Q Science > QB Astronomy
Publisher: IOP Publishing
ISSN: 0264-9381
Date of First Compliant Deposit: 6 July 2017
Date of Acceptance: 13 March 2017
Last Modified: 05 Jan 2024 18:17

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