bilby.gw.conversion.compute_per_detector_log_likelihoods

bilby.gw.conversion.compute_per_detector_log_likelihoods(samples, likelihood, npool=1, block=10)[source]

Calculate the log likelihoods in each detector.

Parameters:

samples: DataFrame: Posterior from run with a marginalised likelihood.
likelihood: bilby.gw.likelihood.GravitationalWaveTransient: Likelihood used during sampling.
npool: int, (default=1): If given, perform generation (where possible) using a multiprocessing pool
block: int, (default=10): Size of the blocks to use in multiprocessing

Returns: