Gravelamps
gravelamps.evidence.reweighting¶
Includes the reweighting calculations used for gravelamps_joint_model_selection.
- gravelamps.evidence.reweighting.compute_evidences(samples: dict, posterior_interpolator: Callable, priors: PriorDict, likelihood: Likelihood) Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str]¶
Computes the updated sample evidences when reweighting from the model agnostic joint parameter estimation to model specific.
- Parameters:
- samples: dict
Contains parameter values for lens and source.
- posterior_interpolator: Callable
Computes the posterior value for joint samples of the model specific parameters.
- priors: PriorDict
Priors on both the source and lens parameters.
- likelihood: Likelihood
Computes the likelihood for the signals generated with the parameters.
- model_settings: dict
Model specific settings.
- Returns:
- ArrayLike
Evidence values for each sample.
- gravelamps.evidence.reweighting.demagnify_samples(samples: dict, model_settings: dict) dict¶
Removes the magnification effects from the luminosity distance samples.
- Parameters:
- samples: dict
Parameter samples.
- model_settings: dict
Model specific settings.
- Returns:
- smaples: dict
Updated parameter samples.
- Raises:
- KeyError
If there are no magnification settings.