Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | P | Q | R | S | T | U | V | X | Z _ __call__() (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical method) (gwpopulation.models.mass.BaseSmoothedMassDistribution method) (gwpopulation.models.redshift._Redshift method) (gwpopulation.models.spin.GaussianChiEffChiP method) (gwpopulation.vt.GridVT method) (gwpopulation.vt.ResamplingVT method) __getattr__() (gwpopulation.experimental.jax.JittedLikelihood method) _cache_q_norms() (gwpopulation.models.mass.BaseSmoothedMassDistribution method) _compute_per_event_ln_bayes_factors() (gwpopulation.hyperpe.HyperparameterLikelihood method) _cosmo (gwpopulation.experimental.cosmo_models.CosmoMixin attribute) _data_spline (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) _get_selection_factor() (gwpopulation.hyperpe.HyperparameterLikelihood method) (gwpopulation.hyperpe.RateLikelihood method) _inf (gwpopulation.hyperpe.HyperparameterLikelihood attribute) _likelihood (gwpopulation.experimental.jax.JittedLikelihood attribute) _norm_spline (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) _normalization() (gwpopulation.models.spin.GaussianChiEffChiP method) _pop_added() (gwpopulation.hyperpe.HyperparameterLikelihood method) _primary_secondary_general() (in module gwpopulation.models.mass) _Redshift (class in gwpopulation.models.redshift) _selection_function_with_uncertainty() (gwpopulation.hyperpe.HyperparameterLikelihood method) _setup_interpolant() (in module gwpopulation.models.interped) _xs (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) (gwpopulation.models.mass.InterpolatedPowerlaw attribute) A alpha_beta_max_to_mu_var_max() (in module gwpopulation.conversions) analysis_time (gwpopulation.vt.ResamplingVT attribute) apply_conditions() (in module gwpopulation.utils) axes (gwpopulation.vt.GridVT attribute) B base (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) base_variable_names (gwpopulation.models.redshift._Redshift attribute) (gwpopulation.models.redshift.MadauDickinsonRedshift attribute) (gwpopulation.models.redshift.PowerLawRedshift attribute) BaseSmoothedMassDistribution (class in gwpopulation.models.mass) beta_dist() (in module gwpopulation.utils) bilby_to_numpyro_prior() (in module gwpopulation.experimental.numpyro) bilby_to_numpyro_priors() (in module gwpopulation.experimental.numpyro) BrokenPowerLawPeakSmoothedMassDistribution (class in gwpopulation.models.mass) BrokenPowerLawSmoothedMassDistribution (class in gwpopulation.models.mass) C cache (gwpopulation.models.mass.BaseSmoothedMassDistribution attribute) check_convergence() (gwpopulation.vt.ResamplingVT method) chi_eff (gwpopulation.models.spin.GaussianChiEffChiP attribute) chi_p (gwpopulation.models.spin.GaussianChiEffChiP attribute) construct_numpyro_model() (in module gwpopulation.experimental.numpyro) conversion_function (gwpopulation.hyperpe.HyperparameterLikelihood attribute) convert_to_beta_parameters() (in module gwpopulation.conversions) cosmo_model (gwpopulation.experimental.cosmo_models.CosmoMixin attribute) cosmology() (gwpopulation.experimental.cosmo_models.CosmoMixin method) cosmology_variables() (gwpopulation.experimental.cosmo_models.CosmoMixin method) CosmoMixin (class in gwpopulation.experimental.cosmo_models) CosmoModel (class in gwpopulation.experimental.cosmo_models) D data (gwpopulation.hyperpe.HyperparameterLikelihood attribute) detection_efficiency() (gwpopulation.vt.ResamplingVT method) detector_frame_to_source_frame() (gwpopulation.experimental.cosmo_models.CosmoMixin method) differential_spacetime_volume() (gwpopulation.models.redshift._Redshift method) disable_cupy() (in module gwpopulation.backend) dm (gwpopulation.models.mass.BaseSmoothedMassDistribution attribute) double_power_law_peak_primary_mass() (in module gwpopulation.models.mass) double_power_law_primary_mass() (in module gwpopulation.models.mass) double_power_law_primary_power_law_mass_ratio() (in module gwpopulation.models.mass) dq (gwpopulation.models.mass.BaseSmoothedMassDistribution attribute) dvc_dz() (gwpopulation.models.redshift._Redshift method) E enable_cupy() (in module gwpopulation.backend) enforce_convergence (gwpopulation.vt.ResamplingVT attribute) extract_spline_points() (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical method) F fkeys (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) G gaussian_chi_eff() (in module gwpopulation.models.spin) gaussian_chi_p() (in module gwpopulation.models.spin) GaussianChiEffChiP (class in gwpopulation.models.spin) generate_extra_statistics() (gwpopulation.hyperpe.HyperparameterLikelihood method) generate_rate_posterior_sample() (gwpopulation.hyperpe.HyperparameterLikelihood method) (gwpopulation.hyperpe.RateLikelihood method) generic_bilby_likelihood_function() (in module gwpopulation.experimental.jax) get_name() (in module gwpopulation.utils) get_version_information() (in module gwpopulation.utils) GridVT (class in gwpopulation.vt) gwpopulation module gwpopulation.backend module gwpopulation.conversions module gwpopulation.experimental module gwpopulation.experimental.cosmo_models module gwpopulation.experimental.jax module gwpopulation.experimental.numpyro module gwpopulation.hyperpe module gwpopulation.models module gwpopulation.models.interped module gwpopulation.models.mass module gwpopulation.models.redshift module gwpopulation.models.spin module gwpopulation.utils module gwpopulation.vt module gwpopulation_likelihood_model() (in module gwpopulation.experimental.numpyro) H hyper_prior (gwpopulation.hyperpe.HyperparameterLikelihood attribute) HyperparameterLikelihood (class in gwpopulation.hyperpe) I iid_spin() (in module gwpopulation.models.spin) iid_spin_magnitude_beta() (in module gwpopulation.models.spin) iid_spin_orientation_gaussian_isotropic() (in module gwpopulation.models.spin) independent_spin_magnitude_beta() (in module gwpopulation.models.spin) independent_spin_orientation_gaussian_isotropic() (in module gwpopulation.models.spin) infer_n_nodes() (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical method) InterpolatedNoBaseModelIdentical (class in gwpopulation.models.interped) InterpolatedPowerlaw (class in gwpopulation.models.mass) J JittedLikelihood (class in gwpopulation.experimental.jax) K kind (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) kwargs (gwpopulation.experimental.jax.JittedLikelihood attribute) (gwpopulation.models.mass.BaseSmoothedMassDistribution property) (gwpopulation.models.mass.BrokenPowerLawPeakSmoothedMassDistribution property) (gwpopulation.models.mass.MultiPeakSmoothedMassDistribution property) (gwpopulation.models.mass.SinglePeakSmoothedMassDistribution property) L likelihood_func (gwpopulation.experimental.jax.JittedLikelihood attribute) ln_likelihood_and_variance() (gwpopulation.hyperpe.HyperparameterLikelihood method) log_likelihood() (gwpopulation.hyperpe.HyperparameterLikelihood method) log_likelihood_ratio() (gwpopulation.experimental.jax.JittedLikelihood method) (gwpopulation.hyperpe.HyperparameterLikelihood method) log_nodes (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) M m1s (gwpopulation.models.mass.BaseSmoothedMassDistribution attribute) MadauDickinsonRedshift (class in gwpopulation.models.redshift) marginalize_uncertainty (gwpopulation.vt.ResamplingVT attribute) max (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) maximum_uncertainty (gwpopulation.hyperpe.HyperparameterLikelihood property) meta_data (gwpopulation.hyperpe.HyperparameterLikelihood property) min (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) mmax (gwpopulation.models.mass.BaseSmoothedMassDistribution attribute) mmin (gwpopulation.models.mass.BaseSmoothedMassDistribution attribute) module gwpopulation gwpopulation.backend gwpopulation.conversions gwpopulation.experimental gwpopulation.experimental.cosmo_models gwpopulation.experimental.jax gwpopulation.experimental.numpyro gwpopulation.hyperpe gwpopulation.models gwpopulation.models.interped gwpopulation.models.mass gwpopulation.models.redshift gwpopulation.models.spin gwpopulation.utils gwpopulation.vt modules_to_update() (in module gwpopulation.backend) mu_var_max_to_alpha_beta_max() (in module gwpopulation.conversions) MultiPeakSmoothedMassDistribution (class in gwpopulation.models.mass) N n_events (gwpopulation.vt.ResamplingVT attribute) n_posteriors (gwpopulation.hyperpe.HyperparameterLikelihood attribute) ndim (gwpopulation.vt.GridVT attribute) nodes (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) noise_log_likelihood() (gwpopulation.hyperpe.HyperparameterLikelihood method) NonCachingModel (class in gwpopulation.experimental.jax) norm_p_m1() (gwpopulation.models.mass.BaseSmoothedMassDistribution method) (gwpopulation.models.mass.InterpolatedPowerlaw method) norm_p_q() (gwpopulation.models.mass.BaseSmoothedMassDistribution method) norm_p_x() (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical method) normalisation() (gwpopulation.models.redshift._Redshift method) P p_m1() (gwpopulation.models.mass.BaseSmoothedMassDistribution method) (gwpopulation.models.mass.InterpolatedPowerlaw method) p_q() (gwpopulation.models.mass.BaseSmoothedMassDistribution method) p_x_identical() (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical method) p_x_unnormed() (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical method) parameters (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) posterior_predictive_resample() (gwpopulation.hyperpe.HyperparameterLikelihood method) (in module gwpopulation.experimental.numpyro) power_law_mass() (in module gwpopulation.models.mass) power_law_primary_mass_ratio() (in module gwpopulation.models.mass) power_law_primary_secondary_identical() (in module gwpopulation.models.mass) power_law_primary_secondary_independent() (in module gwpopulation.models.mass) powerlaw() (in module gwpopulation.utils) PowerLawRedshift (class in gwpopulation.models.redshift) primary_model (gwpopulation.models.mass.BaseSmoothedMassDistribution attribute) (gwpopulation.models.mass.BrokenPowerLawPeakSmoothedMassDistribution attribute) (gwpopulation.models.mass.BrokenPowerLawSmoothedMassDistribution attribute) (gwpopulation.models.mass.InterpolatedPowerlaw attribute) (gwpopulation.models.mass.MultiPeakSmoothedMassDistribution attribute) (gwpopulation.models.mass.SinglePeakSmoothedMassDistribution attribute) prob() (gwpopulation.experimental.cosmo_models.CosmoModel method) (gwpopulation.experimental.jax.NonCachingModel method) probability() (gwpopulation.models.redshift._Redshift method) psi_of_z() (gwpopulation.models.redshift._Redshift method) (gwpopulation.models.redshift.MadauDickinsonRedshift method) (gwpopulation.models.redshift.PowerLawRedshift method) Q qs (gwpopulation.models.mass.BaseSmoothedMassDistribution attribute) R RateLikelihood (class in gwpopulation.hyperpe) redshift_model (gwpopulation.vt.ResamplingVT attribute) regularize (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) resample_posteriors() (gwpopulation.hyperpe.HyperparameterLikelihood method) ResamplingVT (class in gwpopulation.vt) S sample_prior() (in module gwpopulation.experimental.numpyro) samples_per_posterior (gwpopulation.hyperpe.HyperparameterLikelihood attribute) selection_function (gwpopulation.hyperpe.HyperparameterLikelihood attribute) set_backend() (in module gwpopulation) (in module gwpopulation.backend) setup_interpolant() (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical method) SinglePeakSmoothedMassDistribution (class in gwpopulation.models.mass) smoothing() (gwpopulation.models.mass.BaseSmoothedMassDistribution static method) SplineSpinMagnitudeIdentical (class in gwpopulation.models.spin) SplineSpinTiltIdentical (class in gwpopulation.models.spin) SUPPORTED_BACKENDS (in module gwpopulation) (in module gwpopulation.backend) surveyed_hypervolume() (gwpopulation.vt.ResamplingVT method) T three_component_single() (in module gwpopulation.models.mass) to_number() (in module gwpopulation.utils) to_numpy() (in module gwpopulation.utils) total_four_volume() (in module gwpopulation.models.redshift) total_injections (gwpopulation.vt.ResamplingVT attribute) truncnorm() (in module gwpopulation.utils) two_component_primary_mass_ratio() (in module gwpopulation.models.mass) two_component_primary_secondary_identical() (in module gwpopulation.models.mass) two_component_primary_secondary_independent() (in module gwpopulation.models.mass) two_component_single() (in module gwpopulation.models.mass) U unnormalized_2d_gaussian() (in module gwpopulation.utils) V values (gwpopulation.vt.GridVT attribute) variable_names (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical property) (gwpopulation.models.mass.BaseSmoothedMassDistribution property) (gwpopulation.models.mass.InterpolatedPowerlaw property) (gwpopulation.models.redshift._Redshift property) von_mises() (in module gwpopulation.utils) vt_factor() (gwpopulation.vt.ResamplingVT method) vts (gwpopulation.vt.GridVT attribute) X xkeys (gwpopulation.models.interped.InterpolatedNoBaseModelIdentical attribute) xp (in module gwpopulation.hyperpe) (in module gwpopulation.utils) (in module gwpopulation.vt) Z z_max (gwpopulation.models.redshift._Redshift attribute) zs (gwpopulation.models.redshift._Redshift attribute)
