Journal
CLASSICAL AND QUANTUM GRAVITY
Volume 33, Issue 21, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/0264-9381/33/21/215004
Keywords
gravitational waves; compact binaries; search pipeline
Categories
Funding
- NSF [PHY-0847611, PHY-1404395, ACI-1443037, PHY-0854812, PHY-1205835, PHY-1506254, PHY-1040231, PHY-1104371, ACI-1341006]
- Research Corporation for Science Advancement Cottrell Scholar Award
- Max-Planck-Gesellschaft
- NSERC of Canada
- Ontario Early Researcher Awards Program
- Canada Research Chairs Program
- Canadian Institute for Advanced Research
- Royal Society
- STFC [ST/L000962/1]
- Syracuse University ITS
- STFC [ST/N005430/1, ST/I006285/1, ST/L000962/1, ST/N000064/1] Funding Source: UKRI
- Direct For Computer & Info Scie & Enginr
- Office of Advanced Cyberinfrastructure (OAC) [1443047, 1541396] Funding Source: National Science Foundation
- Division Of Physics
- Direct For Mathematical & Physical Scien [1506254, 1104371] Funding Source: National Science Foundation
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We describe the PyCBC search for gravitational waves from compact-object binary coalescences in advanced gravitational-wave detector data. The search was used in the first Advanced Laser Interferometer Gravitational-wave Observatory (LIGO) observing run and unambiguously identified two black hole binary mergers, GW150914 and GW151226. At its core, the PyCBC search performs a matched-filter search for binary merger signals using a bank of gravitational-wave template waveforms. We provide a complete description of the search pipeline including the steps used to mitigate the effects of noise transients in the data, identify candidate events and measure their statistical significance. The analysis is able to measure false-alarm rates as low as one per million years, required for confident detection of signals. Using data from initial LIGO's sixth science run, we show that the new analysis reduces the background noise in the search, giving a 30% increase in sensitive volume for binary neutron star systems over previous searches.
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