lfkit.api.conditional_luminosity_function module#
Public conditional luminosity function constructors.
- class lfkit.api.conditional_luminosity_function.ConditionalLuminosityFunction[source]#
Bases:
objectFactory namespace for conditional luminosity function models.
- static double_schechter(*, phi_star, m_star, alpha, beta, m_transition, meta=None)[source]#
Create a conditional double-power-law Schechter luminosity function.
- Parameters:
phi_star (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
m_star (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
alpha (float)
beta (float)
m_transition (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
meta (Mapping[str, object] | None)
- Return type:
- static evolving_schechter(*, phi_model='linear_p', phi_kwargs=None, m_star_model='linear_q', m_star_kwargs=None, alpha_model='constant', alpha_kwargs=None, meta=None)[source]#
Create a conditional evolving Schechter luminosity function.
- Parameters:
phi_model (str)
phi_kwargs (Mapping[str, float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]] | None)
m_star_model (str)
m_star_kwargs (Mapping[str, float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]] | None)
alpha_model (str)
alpha_kwargs (Mapping[str, float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]] | None)
meta (Mapping[str, object] | None)
- Return type:
- static lognormal(*, mean_absolute_mag, sigma_log_luminosity, amplitude=1.0, meta=None)[source]#
Create a lognormal conditional luminosity function.
- Parameters:
mean_absolute_mag (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
sigma_log_luminosity (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
amplitude (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
meta (Mapping[str, object] | None)
- Return type:
- static modified_schechter(*, phi_star, m_star, alpha, meta=None)[source]#
Create a modified Schechter conditional luminosity function.
- Parameters:
phi_star (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
m_star (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
alpha (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
meta (Mapping[str, object] | None)
- Return type:
- static schechter(*, phi_star, m_star, alpha, meta=None)[source]#
Create a conditional Schechter luminosity function.
- Parameters:
phi_star (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
m_star (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
alpha (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
meta (Mapping[str, object] | None)
- Return type:
- static two_component(*, lognormal_mean_absolute_mag, lognormal_sigma_log_luminosity, modified_phi_star, modified_alpha, lognormal_amplitude=1.0, modified_m_star=None, modified_luminosity_fraction=0.562, meta=None)[source]#
Create a two-component conditional luminosity function.
- Parameters:
lognormal_mean_absolute_mag (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
lognormal_sigma_log_luminosity (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
modified_phi_star (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
modified_alpha (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
lognormal_amplitude (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
modified_m_star (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]] | None)
modified_luminosity_fraction (float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]] | Callable[[ndarray[tuple[Any, ...], dtype[float64]]], float | Sequence[float] | ndarray[tuple[Any, ...], dtype[float64]]])
meta (Mapping[str, object] | None)
- Return type: