gwpopulation_pipe.data_collection

Functions for collecting input samples from a range of sources and computing the fiducial prior for the appropriate parameters.

The module provides the gwpopulation_pipe_collection 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

aligned_spin_prior(spin)	The standard prior for aligned spin assuming the spin prior extends to maximal.
convert_arg_to_dict(arg)	Convert a string argument to a dictionary.
euclidean_distance_prior(samples)	Evaluate the redshift prior assuming a Euclidean universe.
evaluate_prior(posts, args, dataset)	Evaluate the prior distribution for the input posteriors.
gather_posteriors(args[, save_meta_data])	Load in posteriors from files according to the command-line arguments.
load_all_events(args[, save_meta_data, ignore])	Load posteriors for some/all events.
load_meta_file_from_hdf5(filename, labels)	Load the posterior from a hdf5 PESummary file.
load_meta_file_from_json(filename, labels)	Load the posterior from a json PESummary file.
load_posterior_from_meta_file(filename[, labels])	Load a posterior from a PESummary meta file.
load_samples_from_csv(filename, *args, **kwargs)	Load posterior samples from a csd file.
main()
plot_summary(posteriors, events, args)	Plot a summary of the posteriors for each parameter.
primary_mass_to_chirp_mass_jacobian(samples)	Compute the Jacobian for the primary mass to chirp mass transformation.
replace_keys(posts)	Map the keys from legacy names to the GWPopulation standards.
resolve_arguments(args)	Make sure there are no incompatible arguments.