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Coherent WaveBurst, a pipeline for unmodeled gravitational-wave data analysis

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arxiv 2006.12604 v2 pith:SAL42BHF submitted 2020-06-22 gr-qc

M. Drago , V.Gayathri , S. Klimenko , C. Lazzaro , E. Milotti , G. Mitselmakher , V. Necula , B. O'Brian
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G. A. Prodi F. Salemi M. Szczepanczyk S. Tiwari V. Tiwari G. Vedovato I. Yakushin
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classification gr-qc
keywords beendatagravitational-waveanalysiscoherentdetectorspipelinesince
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coherent WaveBurst (cWB) is a highly configurable pipeline designed to detect a broad range of gravitational-wave (GW) transients in the data of the worldwide network of GW detectors. The algorithmic core of cWB is a time-frequency analysis with the Wilson-Daubechies-Meyer wavelets aimed at the identification of GW events without prior knowledge of the signal waveform. cWB has been in active development since 2003 and it has been used to analyze all scientific data collected by the LIGO-Virgo detectors ever since. On September 14, 2015, the cWB low-latency search detected the first gravitational-wave event, GW150914, a merger of two black holes. In 2019, a public open-source version of cWB has been released with GPLv3 license.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. All-sky search for long-duration gravitational-wave transients in the first part of the fourth LIGO-Virgo-KAGRA Observing run

    gr-qc 2025-07 accept novelty 6.0 of 10

    No long-duration gravitational-wave transients were found in O4a data; 50% efficiency amplitude limits improved by about 30% over O3, and eccentric CBC rate limits improved by factors of 2-7.

  2. Reconstructing Core-Collapse Supernova Gravitational-Wave Signals with Transdimensional Bayesian Inference

    astro-ph.HE 2026-08 conditional novelty 5.0 of 10

    Transdimensional Bayesian inference with tBilby reconstructs core-collapse supernova gravitational-wave signals in simulated LIGO noise with overlaps up to 85%, and captures the dominant proto-neutron-star mode even a...

  3. An explicit and differentiable Wilson-Daubechies-Meyer transform for gravitational-wave data analysis

    gr-qc 2026-06 unverdicted novelty 4.0 of 10

    Open-source WDM transform package with JAX support and numerical validation of equivalence to frequency-domain likelihoods for a LISA binary under stationary noise.

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