Process / pipelineSignal Processing

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.

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Sources

  1. 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
  2. Weedman, D. (2010). Statistics of Matched Filtering and Bayes Theorem Applied to Gravitational Wave Data Analysis. Classical and Quantum Gravity, 10(9), S211. DOI: 10.1088/0264-9381/10/S/011
  3. 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

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Referenced by

ScholarGateGravitational Wave Matched Filtering (Gravitational Wave Signal Detection via Matched Filtering). Retrieved 2026-06-04 from https://scholargate.app/en/applied-physics/gravitational-wave-matched-filtering