bilby.gw.conversion.identity_map_generation

bilby.gw.conversion.identity_map_generation(sample, likelihood=None, priors=None, npool=1)

An identity map generation function that handles marginalizations, SNRs, etc. correctly, but does not attempt e.g. conversions in mass or spins

Parameters:

sample: dict or pandas.DataFrame

Samples to fill in with extra parameters, this may be either an injection or posterior samples.

likelihood: bilby.gw.likelihood.GravitationalWaveTransient, optional

GravitationalWaveTransient used for sampling, used for waveform and likelihood.interferometers.

priors: dict, optional

Dictionary of prior objects, used to fill in non-sampled parameters.

Returns: