gwkokab.analysis.multisource.discrete
=====================================

.. py:module:: gwkokab.analysis.multisource.discrete


Classes
-------

.. autoapisummary::

   gwkokab.analysis.multisource.discrete.MultiSourceModelDiscreteAnalysis
   gwkokab.analysis.multisource.discrete.MultiSourceModelFDiscreteAnalysis
   gwkokab.analysis.multisource.discrete.MultiSourceModelNDiscreteAnalysis


Functions
---------

.. autoapisummary::

   gwkokab.analysis.multisource.discrete.main


Module Contents
---------------

.. py:class:: 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: :py:obj:`gwkokab.analysis.multisource.common.MultiSourceModelCore`, :py:obj:`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.


.. py:class:: 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: :py:obj:`MultiSourceModelDiscreteAnalysis`, :py:obj:`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.


.. py:class:: 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: :py:obj:`MultiSourceModelDiscreteAnalysis`, :py:obj:`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.


.. py:function:: main() -> None