Mirror of official GWpy project on GitLab
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Updated
Aug 28, 2026 - Python
Mirror of official GWpy project on GitLab
Homepage for the GWpy project
Two-detector (H1+L1) synthetic gravitational-wave dataset generator for GW-YOLO-style benchmarks: chirp/glitch detection, cross-detector matching, coherent event detection, and low-SNR/glitch robustness. GWpy Q-transform, PyCBC waveforms, leakage-safe event-level splits.
A Constant Q Transform package with minimal size and dependencies based on GWpy qtransform.
Gravitational-wave detection pipeline utilizing open LIGO strain data and custom matched-filtering to reproduce the GW150914 discovery.
A computational analysis of LIGO open data (GW150914) using spectral whitening and Q-transforms to detect binary black hole mergers.
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.
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.
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