- name
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Gravitational Wave Event Analyzer
A skill for fetching and analyzing real gravitational wave events from LIGO/Virgo/KAGRA using public GWOSC data.
What This Skill Does
- Catalog Query — Fetch events from GWTC (Gravitational-Wave Transient Catalog) via GWOSC API
- Strain Download — Pull real detector strain timeseries data for any event
- Signal Processing — Whiten, bandpass filter, and Q-transform the strain
- Merger Classification — Classify event type: BBH (binary black hole), BNS (binary neutron star), or NSBH
- Visualization — Generate spectrograms, waveform plots, and summary figures
Usage
Analyze a specific event
from gw_analyzer import GWEventAnalyzer
analyzer = GWEventAnalyzer()
result = analyzer.analyze_event("GW150914")
result.plot()
result.summary()List recent events
events = analyzer.list_events(catalog="GWTC-3", min_far=1e-3)Full pipeline
python gw_analyzer.py --event GW150914 --detector H1 --output ./output/
python gw_analyzer.py --event GW231123_135430 --detector L1 --output ./output/
python gw_analyzer.py --list-events --catalog GWTC-3 --top 10Key Events to Try
| Event | Type | Description |
|---|---|---|
| GW150914 | BBH | First detection ever (2015) |
| GW170817 | BNS | First neutron star merger (multi-messenger) |
| GW200105 | NSBH | First neutron star–black hole merger |
| GW231123_135430 | BBH | Most massive merger ever detected |
Output
{event}_waveform.png— Raw + whitened + filtered strain timeseries{event}_qtransform.png— Time-frequency Q-transform (chirp signature){event}_summary.json— Event parameters, classification, SNR estimate{event}_report.txt— Human-readable analysis report
Data Source
All data fetched from GWOSC — publicly released under CC BY 4.0. Catalog: GWTC (Gravitational-Wave Transient Catalog), updated through O4a run.
Dependencies
gwpy>=3.0.0
gwosc>=0.7.0
numpy>=1.24.0
scipy>=1.10.0
matplotlib>=3.7.0
astropy>=5.3.0