from lenstronomy.Analysis.td_cosmography import TDCosmography
from hierarc.LensPosterior.imaging_constraints import ImageModelPosterior
from hierarc.LensPosterior.anisotropy_config import AnisotropyConfig
[docs]
class BaseLensConfig(TDCosmography, ImageModelPosterior, AnisotropyConfig):
"""This class contains and manages the base configurations of the lens posteriors
and makes sure that they are universally applied consistently through the different
likelihood definitions."""
def __init__(
self,
z_lens,
z_source,
theta_E,
theta_E_error,
gamma,
gamma_error,
r_eff,
r_eff_error,
kwargs_aperture,
kwargs_seeing,
kwargs_numerics_galkin,
anisotropy_model,
lens_model_list=None,
kwargs_lens_light=None,
lens_light_model_list=["HERNQUIST"],
MGE_light=False,
kwargs_mge_light=None,
hernquist_approx=True,
sampling_number=1000,
num_psf_sampling=100,
num_kin_sampling=1000,
multi_observations=False,
cosmo_fiducial=None,
):
"""
:param z_lens: lens redshift
:param z_source: source redshift
:param theta_E: Einstein radius (in arc seconds)
:param theta_E_error: 1-sigma error on Einstein radius
:param gamma: power-law slope (2 = isothermal) estimated from imaging data
:param gamma_error: 1-sigma uncertainty on power-law slope
:param r_eff: half-light radius of the deflector (arc seconds)
:param r_eff_error: uncertainty on half-light radius
:param kwargs_aperture: spectroscopic aperture keyword arguments, see
lenstronomy.Galkin.aperture for options
:param kwargs_seeing: seeing condition of spectroscopic observation, corresponds
to kwargs_psf in the GalKin module specified in lenstronomy.GalKin.psf
:param kwargs_numerics_galkin: numerical settings for the integrated
line-of-sight velocity dispersion
:param anisotropy_model: type of stellar anisotropy model. See details in
MamonLokasAnisotropy() class of lenstronomy.GalKin.anisotropy
:param multi_observations: bool, if True, interprets kwargs_aperture and
kwargs_seeing as lists of multiple observations
:param lens_model_list: keyword argument list of lens model (optional)
:param kwargs_lens_light: keyword argument list of lens light model (optional)
:param kwargs_mge_light: keyword arguments that go into the MGE decomposition
routine
:param hernquist_approx: bool, if True, uses the Hernquist approximation for the
light profile
:param cosmo_fiducial: astropy.cosmology instance, if None,
uses astropy's default cosmology
"""
self._z_lens, self._z_source = z_lens, z_source
if lens_model_list is None:
kwargs_model = {
"lens_model_list": ["SPP"],
"lens_light_model_list": lens_light_model_list,
}
else:
kwargs_model = {
"lens_model_list": lens_model_list,
"lens_light_model_list": lens_light_model_list,
}
TDCosmography.__init__(
self,
z_lens,
z_source,
kwargs_model,
cosmo_fiducial=cosmo_fiducial,
lens_model_kinematics_bool=None,
light_model_kinematics_bool=None,
kwargs_seeing=kwargs_seeing,
kwargs_aperture=kwargs_aperture,
multi_observations=multi_observations,
)
analytic_kinematics = False
self.kinematics_modeling_settings(
anisotropy_model,
kwargs_numerics_galkin,
analytic_kinematics=analytic_kinematics,
Hernquist_approx=hernquist_approx,
MGE_light=MGE_light,
MGE_mass=False,
kwargs_mge_light=kwargs_mge_light,
sampling_number=sampling_number,
num_psf_sampling=num_psf_sampling,
num_kin_sampling=num_kin_sampling,
)
self._kwargs_lens_light = kwargs_lens_light
ImageModelPosterior.__init__(
self, theta_E, theta_E_error, gamma, gamma_error, r_eff, r_eff_error
)
AnisotropyConfig.__init__(self, anisotropy_model, r_eff)