gwkokab.poisson_mean

Functions

poisson_mean_from_neural_pdet(...)
poisson_mean_from_neural_vt(...)
poisson_mean_from_sensitivity_injections(...)

Package Contents

gwkokab.poisson_mean.poisson_mean_from_neural_pdet(key: jaxtyping.PRNGKeyArray, parameters: collections.abc.Sequence[str], filename: str, batch_size: int | None = None, num_samples: int = 1000, time_scale: int | float | jaxtyping.Array = 1.0) → Tuple[collections.abc.Callable[[jaxtyping.Array], jaxtyping.Array] | None, collections.abc.Callable[Ellipsis, jaxtyping.Array], dict[str, Any]]

gwkokab.poisson_mean.poisson_mean_from_neural_vt(key: jaxtyping.PRNGKeyArray, parameters: collections.abc.Sequence[str], filename: str, batch_size: int | None = None, num_samples: int = 1000, time_scale: int | float | jaxtyping.Array = 1.0) → Tuple[collections.abc.Callable[[jaxtyping.Array], jaxtyping.Array] | None, collections.abc.Callable[Ellipsis, jaxtyping.Array], dict[str, Any]]

gwkokab.poisson_mean.poisson_mean_from_sensitivity_injections(key: jaxtyping.PRNGKeyArray, parameters: List[str], filename: str, batch_size: int | None = None, far_cut: float = 1.0, snr_cut: float = 10.0) → Tuple[collections.abc.Callable[[jaxtyping.Array], jaxtyping.Array] | None, collections.abc.Callable[Ellipsis, jaxtyping.Array], dict[str, Any]]