bilby.gw.conversion.compute_snrs

bilby.gw.conversion.compute_snrs(sample, likelihood, npool=1)

Compute the optimal and matched filter snrs of all posterior samples and print it out.

Parameters:

sample: dict or array_like

likelihood: bilby.gw.likelihood.GravitationalWaveTransient

Likelihood function to be applied on the posterior