Tutorials

Executable Jupyter notebooks live in notebooks/; HTML renderings of the main ones are published with this site.

Waveform comparisons

• Faithfulness between GW template models — compute noise-weighted matches between two approximants at fixed physical parameters with gwnr.analysis.calculate_faithfulness.
• Effectualness of GW search template banks — fitting factors via particle-swarm optimization with calculate_fitting_factor, and bank effectualness studies.

Bayesian inference

• Inference on GW events — set up and run parameter estimation on real (public) events.
• Inference on injections — the same for synthetic injections, for model validation and studies of parameter biases.
• Making useful corner plots — visualize posteriors with gwnr.graph.CornerPlot: contours, credible levels, colored scatter, priors and truth overlays.

Data access and signal processing

• Accessing the GW Open Science catalog — fetch strain data and PSDs for cataloged events with gwnr.analysis.gw_transient_catalog.
• Q-transforms — time–frequency visualization of GW data.

Waveform models

• ESIGMA waveform generation — generating waveforms with the ESIGMA eccentric inspiral-merger-ringdown model. (Note: the ESIGMA generation code now lives outside this repository; the calibration utilities remain in gwnr.stats.enigma_utils.)

Additional notebooks

The repository also carries research notebooks that are not rendered here, including ENIGMA parameter-optimization studies (OptimizeENIGMAParameters.ipynb, OptimizeENIGMARingdownAttachmentFrequencyFITParameters.ipynb), GW skymap visualization (VisualizeGWSkymaps.ipynb), and geodesic-kinematics explorations. Browse them in notebooks/.