This article was accepted into the corpus but its outbound wikilinks were never NER-processed — typical at the deepest BFS hop or when the run's entity cap was reached. No expansion funnel to show.
| Gravitational Wave Candidate Event Database | |
|---|---|
| Name | Gravitational Wave Candidate Event Database |
| Acronym | -- |
| Established | 2015 |
| Field | Gravitational-wave astronomy |
| Operated by | LIGO Scientific Collaboration, Virgo Collaboration, KAGRA |
| Website | -- |
Gravitational Wave Candidate Event Database The Gravitational Wave Candidate Event Database is a centralized catalogue compiling candidate transient signals reported by major interferometric observatories. It aggregates candidate event metadata from LIGO Scientific Collaboration, Virgo Collaboration, and KAGRA, linking to instrument logs from Laser Interferometer Gravitational-Wave Observatory, GEO600, and partner projects. The database is used by researchers affiliated with institutions such as Caltech, MIT, Max Planck Society, Università di Pisa, and Australian National University for multi-messenger follow-up with facilities like Fermi Gamma-ray Space Telescope, Swift Observatory, IceCube Neutrino Observatory, and Very Large Telescope.
The database catalogs candidate detections from interferometers including Hanford Site, Livingston, Virgo Interferometer, and Kamioka Observatory. It records parameters associated with progenitor models involving compact binaries studied by teams at University of Glasgow, Cardiff University, Monash University, Tata Institute of Fundamental Research, and Osaka University. Users cross-reference entries with electromagnetic and neutrino counterpart searches performed by groups at European Southern Observatory, National Radio Astronomy Observatory, Atacama Large Millimeter Array, and Zwicky Transient Facility to assess coincidence likelihoods.
Development began after initial runs by LIGO Scientific Collaboration and Virgo Collaboration following prototype milestones achieved at Cahill Center and engineering upgrades inspired by work at Gingin Observatory. Early design benefited from data-management practices used at CERN, European Space Agency, National Aeronautics and Space Administration, and archival standards from Smithsonian Astrophysical Observatory. Key development milestones involved software contributions from teams at University of Wisconsin–Milwaukee, University of Oregon, Stanford University, Princeton University, and Columbia University coordinated under memoranda involving National Science Foundation funding and advisory input from panels including members from Royal Society and National Academy of Sciences.
Candidate ingestion pipelines integrate triggers from search algorithms developed at Caltech, MIT, University of Birmingham, Institute of Advanced Study, and Flatiron Institute. Validation workflows rely on vetoes and data-quality flags supplied by instrument groups at Hanford Observatory, Livingston Observatory, European Gravitational Observatory, and Kamioka Gravitational Wave Detector Center. Statistical significance assessments use methods from research groups at University of Chicago, Carnegie Mellon University, University of Maryland, University of Texas at Austin, and University of California, Berkeley. Citizen-science collaborations occasionally involve contributors associated with Zooniverse partner institutions such as University College London and University of Oxford.
Entries include time stamps referenced to Coordinated Universal Time, sky localization consistent with catalogs like those maintained by Gaia Space Observatory and Sloan Digital Sky Survey, and source-property estimates using waveform models produced by groups at Max Planck Institute for Gravitational Physics, University of Birmingham, NIKHEF, Rutherford Appleton Laboratory, and Perimeter Institute. Event classes denote binary black hole candidates, binary neutron star candidates, neutron star–black hole candidates, and unmodeled burst candidates using classification schemes developed by collaborations including LIGO Scientific Collaboration, Virgo Collaboration, and theoretical groups at Cambridge University, Yale University, Harvard University, Princeton University, and Rutgers University.
Access pathways mirror open-data initiatives from agencies like National Science Foundation, European Research Council, and Japan Society for the Promotion of Science. Analysis tools compatible with the database include software from LALSuite, pipelines developed at PyCBC Project institutions, and visualization platforms created by teams at Matplotlib Development Team, SciPy community, NumPy Developers, and Astropy Project. Collaborative platforms integrate with version-control services used by GitHub, GitLab, and computing resources provided by XSEDE, PRACE, Google Cloud Platform, and national supercomputing centers such as Oak Ridge National Laboratory and Lawrence Berkeley National Laboratory.
The candidate database supported rapid vetting for landmark events analyzed by consortia including LIGO Scientific Collaboration and Virgo Collaboration that led to multi-messenger observations with Fermi Gamma-ray Burst Monitor and INTEGRAL. It was instrumental in confirming event populations characterized in papers from authors at Caltech, MIT, Monash University, Cardiff University, and University of Tokyo, influencing astrophysical inferences published involving teams at NASA Goddard Space Flight Center, European Southern Observatory, Max Planck Society, and Kavli Institute for the Physics and Mathematics of the Universe.
Governance models draw on precedents from LIGO Scientific Collaboration, Virgo Collaboration, and institutional policies from Caltech, MIT, Max Planck Society, and University of Glasgow. Data-use policies align with citation practices endorsed by journals such as Physical Review Letters, Astrophysical Journal, Nature Astronomy, and Science. Users are advised to credit contributing detector teams including LIGO Hanford Laboratory, LIGO Livingston Laboratory, Virgo Collaboration, and KAGRA Collaboration as well as funding agencies like National Science Foundation, European Commission, Japan Society for the Promotion of Science, and national research councils when publishing analyses.