2015/09/30 by Jonah B. Kanner, J. B. Kanner, T. B. Littenberg +13 · 2 citations
Earth and Planetary Sciences · Physics and Astronomy · #Pulsars and Gravitational Waves Research #Seismic Imaging and Inversion Techniques #Seismic Waves and Analysis #astro-ph.IM
paper · pdf · doi:10.1103/physrevd.93.022002
published as Phys. Rev. D 93, 022002 (2016) · 9 pages, 11 figures. This draft was accepted by PRD
arxiv created 2016/01/12 · openalex publication_date 2016/01/21 · arxiv updated 2016/01/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
The recent completion of Advanced LIGO suggests that gravitational waves may soon be directly observed. Past searches for gravitational-wave transients have been impacted by transient noise artifacts, known as glitches, introduced into LIGO data due to instrumental and environmental effects. In this work, we explore how waveform complexity, instead of signal-to-noise ratio, can be used to rank event candidates and distinguish short duration astrophysical signals from glitches. We test this framework using a new hierarchical pipeline that directly compares the Bayesian evidence of explicit signal and glitch models. The hierarchical pipeline is shown to perform well and, in particular, to allow high-confidence detections of a range of waveforms at a realistic signal-to-noise ratio with a two-detector network.