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gwpy

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Completed solutions, analyses, and documentation for the Gravitational Wave Open Data Workshop 2026, covering the full gravitational-wave data analysis pipeline from data-access and waveform generation to matched filtering, Bayesian parameter estimation, event detection, and continuous-wave searches using Python, PyCBC, GWpy, Bilby, and LALSuite.

  • Updated May 11, 2026
  • Jupyter Notebook

Three real-data gravitational-wave searches on public LIGO/Virgo strain: subsolar/primordial-black-hole mergers (with a real matched-filter benchmark), post-merger echoes, and ringdown spectroscopy testing the no-hair theorem. Sensitivity via injection, significance via measured background. Cross-validated with sister projects via The Bridge.

  • Updated Sep 5, 2026
  • Python

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