gwkokab.analysis.multisource.discrete¶

Classes¶

`MultiSourceModelDiscreteAnalysis`	AnalysisBase is a class which contains all the common functionality among the
`MultiSourceModelFDiscreteAnalysis`	AnalysisBase is a class which contains all the common functionality among the
`MultiSourceModelNDiscreteAnalysis`	AnalysisBase is a class which contains all the common functionality among the

Functions¶

main(→ None)

Module Contents¶

class gwkokab.analysis.multisource.discrete.MultiSourceModelDiscreteAnalysis(N_spl: int, N_bpl: int, N_gpl: int, N_gg: int, use_beta_spin_magnitude: bool, use_spin_magnitude_mixture: bool, use_truncated_normal_spin_x: bool, use_truncated_normal_spin_y: bool, use_truncated_normal_spin_z: bool, use_chi_eff_mixture: bool, use_skew_normal_chi_eff: bool, use_truncated_normal_chi_p: bool, use_tilt: bool, use_eccentricity_mixture: bool, use_eccentricity_powerlaw: bool, use_mean_anomaly: bool, use_powerlaw_redshift: bool, use_madau_dickinson_redshift: bool, likelihood_fn: Callable[Ellipsis, Callable], data_loader: gwkokab.analysis.core.inference_io.DiscretePELoader, prior_filename: str, poisson_mean_filename: str, sampler_cfg, variance_cut_threshold: float | None, n_buckets: int, threshold: float, debug_nans: bool = False, profile_memory: bool = False, check_leaks: bool = False)¶

Bases: gwkokab.analysis.multisource.common.MultiSourceModelCore, gwkokab.analysis.core.discrete_base.DiscreteBase

AnalysisBase is a class which contains all the common functionality among the different analyses.

It is not meant to be used directly, but rather to be subclassed by the specific analyses.

class gwkokab.analysis.multisource.discrete.MultiSourceModelFDiscreteAnalysis(N_spl: int, N_bpl: int, N_gpl: int, N_gg: int, use_beta_spin_magnitude: bool, use_spin_magnitude_mixture: bool, use_truncated_normal_spin_x: bool, use_truncated_normal_spin_y: bool, use_truncated_normal_spin_z: bool, use_chi_eff_mixture: bool, use_skew_normal_chi_eff: bool, use_truncated_normal_chi_p: bool, use_tilt: bool, use_eccentricity_mixture: bool, use_eccentricity_powerlaw: bool, use_mean_anomaly: bool, use_powerlaw_redshift: bool, use_madau_dickinson_redshift: bool, likelihood_fn: Callable[Ellipsis, Callable], data_loader: gwkokab.analysis.core.inference_io.DiscretePELoader, prior_filename: str, poisson_mean_filename: str, sampler_cfg, variance_cut_threshold: float | None, n_buckets: int, threshold: float, debug_nans: bool = False, profile_memory: bool = False, check_leaks: bool = False)¶

Bases: MultiSourceModelDiscreteAnalysis, gwkokab.analysis.core.flowMC_base.FlowMCBase

AnalysisBase is a class which contains all the common functionality among the different analyses.

It is not meant to be used directly, but rather to be subclassed by the specific analyses.

class gwkokab.analysis.multisource.discrete.MultiSourceModelNDiscreteAnalysis(N_spl: int, N_bpl: int, N_gpl: int, N_gg: int, use_beta_spin_magnitude: bool, use_spin_magnitude_mixture: bool, use_truncated_normal_spin_x: bool, use_truncated_normal_spin_y: bool, use_truncated_normal_spin_z: bool, use_chi_eff_mixture: bool, use_skew_normal_chi_eff: bool, use_truncated_normal_chi_p: bool, use_tilt: bool, use_eccentricity_mixture: bool, use_eccentricity_powerlaw: bool, use_mean_anomaly: bool, use_powerlaw_redshift: bool, use_madau_dickinson_redshift: bool, likelihood_fn: Callable[Ellipsis, Callable], data_loader: gwkokab.analysis.core.inference_io.DiscretePELoader, prior_filename: str, poisson_mean_filename: str, sampler_cfg, variance_cut_threshold: float | None, n_buckets: int, threshold: float, debug_nans: bool = False, profile_memory: bool = False, check_leaks: bool = False)¶

Bases: MultiSourceModelDiscreteAnalysis, gwkokab.analysis.core.numpyro_base.NumpyroBase

AnalysisBase is a class which contains all the common functionality among the different analyses.

It is not meant to be used directly, but rather to be subclassed by the specific analyses.

gwkokab.analysis.multisource.discrete.main() → None¶