compute_snrs¶ compute_snrs(sample, likelihood, npool=1, pool=None)[source]¶ 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.GravitationalWaveTransientLikelihood function to be applied on the posterior