gwpopulation_pipe.data_analysis

Functions for running stochastic sampling with Bilby for pre-collected posteriors.

The module provides the gwpopulation_pipe_analysis executable.

In order to use many of the other functions you will need a class that provides various attributes specified in the gwpopulation_pipe parser.

Functions

compute_rate_posterior(posterior, selection)	Compute the rate posterior as a post-processing step.
create_likelihood(args, posteriors, model, ...)
create_parser()
fill_minimum_n_effective(posterior, likelihood)	Compute the minimum per event n effective for each posterior sample.
generate_extra_statistics(posterior, likelihood)
get_sampler_kwargs(args)
load_model(args)
load_prior(args)
load_vt(args)
main()
resample_single_event_posteriors(likelihood, ...)	Resample the single event posteriors to use the population-informed prior.
scale_evidences_by_cut(result, likelihood, ...)	Scale the evidence calculated by dynesty by the fraction of prior samples retained after convergence cuts.