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rishn / GW-Open-Data-Workshop

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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.

python data-science signal-processing jupyter-notebook virgo ligo astrophysics data-analysis parameter-estimation bayesian-inference gravitational-waves gwpy pycbc matched-filtering lalsuite bilby gwosc kagra
  • Updated May 11, 2026
  • Jupyter Notebook

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