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Extending the PyCBC search for gravitational waves from compact binary mergers to a global network

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arxiv 2002.08291 v3 pith:BA6PDBZP submitted 2020-02-19 astro-ph.HE gr-qc

classification astro-ph.HEgr-qc
keywords networksearchadvanceddetectordetectorsligoanalysisbinary
verification ladder T0 review T1 audit T2 compute T3 formal
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The worldwide advanced gravitational-wave (GW) detector network has so far primarily consisted of the two Advanced LIGO observatories at Hanford and Livingston, with Advanced Virgo joining the 2016-7 O2 observation run at a relatively late stage. However Virgo has been observing alongside the LIGO detectors since the start of the O3 run; in the near future, the KAGRA detector will join the global network and a further LIGO detector in India is under construction. Gravitational-wave search methods would therefore benefit from the ability to analyse data from an arbitrary network of detectors. In this paper, we extend the PyCBC offline compact binary coalescence (CBC) search analysis to three or more detectors, and describe resulting updates to the coincident search and event ranking statistic. For a three-detector network, our improved multi-detector search finds 23% more simulated signals at fixed false alarm rate in idealized colored Gaussian noise, and up to 40% more in real data, compared to the two-detector analysis previously used during O2.

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Cited by 2 Pith papers

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

  1. Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation

    gr-qc 2025-07 conditional novelty 6.0 of 10

    A machine learning classifier trained on the extended noise environment around gravitational wave candidates improves search sensitivity for heavy, unequal-mass black hole mergers by up to roughly 20 percent.

  2. Parameter Estimation on LIGO-Virgo-KAGRA O4a Binary Merger Triggers with Sub-solar Mass Components

    gr-qc 2026-07 conditional novelty 5.0 of 10

    Bayesian re-analysis of the seven LVK O4a sub-solar-mass triggers finds three that are compatible with a sub-solar-mass component, though none rises to detection significance.

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