Gravitational Wave Matched Filtering
Matched filtering is a signal processing technique used to detect gravitational waves by correlating detector data with theoretical waveform templates. When two massive objects (black holes, neutron stars) merge, they emit gravitational waves that pass through Earth, producing tiny distortions in laser interferometers like LIGO and Virgo. Matched filtering, formalized by Harry Nyquist, optimally extracts these signals from noise, enabling the detection of mergers billions of light-years away.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Abbott, B. P., et al. (2016). Observation of Gravitational Waves from a Binary Black Hole Merger. Physical Review Letters, 116(6), 061102. · DOI 10.1103/PhysRevLett.116.061102
- Weedman, D. (2010). Statistics of Matched Filtering and Bayes Theorem Applied to Gravitational Wave Data Analysis. Classical and Quantum Gravity, 10(9), S211. · URL
- Allen, B., Anderson, W. G., Brady, P. R., Brown, D. A., & Creighton, J. D. (2012). FINDCHIRP: An Algorithm for Detection of Gravitational Waves from Inspiraling Compact Binaries. Physical Review D, 85(12), 122006. · DOI 10.1103/PhysRevD.85.122006
Curated claims
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Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.