A collection of tools for academic research in gravitational-wave astronomy & astrophysics, and numerical relativity
📖 Documentation: https://gwnrtools.github.io/gwnr/
The Python package is named gwnr and provides:
- Waveform tools — generation, conditioning, alignment, hybridization of inspiral and merger–ringdown modes, eccentricity measurement, tidal corrections
- Data analysis — faithfulness and fitting-factor calculations, PSD handling, GW transient catalog access, stochastic template-bank construction
- Numerical relativity — SXS/SpEC waveform handling, SpEC & SpECTRE simulation output parsing
- Statistics & inference — configuration writers and batch workflows for PyCBC Inference, Bilby and LALInference; Fisher matrices; MCMC helpers
- Visualization — corner plots and analysis figures
- plus cosmology utilities, bundled detector noise curves, and ~30 command-line tools
git clone https://github.com/gwnrtools/gwnr.git
cd gwnr
pip install -r requirements.txt
pip install .See the installation guide for details.
- Making useful corner plots to visualize Bayesian posteriors
- Faithfulness between GW template models
- Effectualness of GW search template banks
- Inference on GW events
- Inference on Injections
- ... more here
GNU General Public License — see LICENSE.