def __init__(self,
data_class,
psf_class,
lens_model_class=None,
source_model_class=None,
lens_light_model_class=None,
point_source_class=None,
extinction_class=None,
kwargs_numerics=None):
"""
:param data_class: instance of ImageData() or PixelGrid() class
:param psf_class: instance of PSF() class
:param lens_model_class: instance of LensModel() class
:param source_model_class: instance of LightModel() class describing the source parameters
:param lens_light_model_class: instance of LightModel() class describing the lens light parameters
:param point_source_class: instance of PointSource() class describing the point sources
:param kwargs_numerics: keyword argument with various numeric description (see ImageNumerics class for options)
"""
self.type = 'single-band'
self.PSF = psf_class
self.Data = data_class
self.PSF.set_pixel_size(self.Data.pixel_width)
if kwargs_numerics is None:
kwargs_numerics = {}
self.ImageNumerics = NumericsSubFrame(pixel_grid=self.Data,
psf=self.PSF,
**kwargs_numerics)
if lens_model_class is None:
lens_model_class = LensModel(lens_model_list=[])
self.LensModel = lens_model_class
if point_source_class is None:
point_source_class = PointSource(point_source_type_list=[])
self.PointSource = point_source_class
self.PointSource.update_lens_model(lens_model_class=lens_model_class)
x_center, y_center = self.Data.center
self.PointSource.update_search_window(
search_window=np.max(self.Data.width),
x_center=x_center,
y_center=y_center,
min_distance=self.Data.pixel_width,
only_from_unspecified=True)
self._psf_error_map = self.PSF.psf_error_map_bool
if source_model_class is None:
source_model_class = LightModel(light_model_list=[])
self.SourceModel = source_model_class
if lens_light_model_class is None:
lens_light_model_class = LightModel(light_model_list=[])
self.LensLightModel = lens_light_model_class
self.source_mapping = Image2SourceMapping(
lensModel=lens_model_class, sourceModel=source_model_class)
self.num_bands = 1
self._kwargs_numerics = kwargs_numerics
if extinction_class is None:
extinction_class = DifferentialExtinction(optical_depth_model=[])
self._extinction = extinction_class
def __init__(self,
data_class,
psf_class=None,
lens_model_class=None,
source_model_class=None,
lens_light_model_class=None,
point_source_class=None,
kwargs_numerics={}):
"""
:param data_class: instance of Data() class
:param psf_class: instance of PSF() class
:param lens_model_class: instance of LensModel() class
:param source_model_class: instance of LightModel() class describing the source parameters
:param lens_light_model_class: instance of LightModel() class describing the lens light parameters
:param point_source_class: instance of PointSource() class describing the point sources
:param kwargs_numerics: keyword argument with various numeric description (see ImageNumerics class for options)
"""
self.type = 'single-band'
self.PSF = psf_class
self.Data = data_class
self.ImageNumerics = ImageNumerics(pixel_grid=self.Data,
psf=self.PSF,
**kwargs_numerics)
if lens_model_class is None:
lens_model_class = LensModel(lens_model_list=[])
self.LensModel = lens_model_class
self.PointSource = point_source_class
self._error_map_bool_list = None
if self.PointSource is not None:
self.PointSource.update_lens_model(
lens_model_class=lens_model_class)
x_center, y_center = self.Data.center
self.PointSource.update_search_window(
search_window=np.max(self.Data.width),
x_center=x_center,
y_center=y_center,
min_distance=self.Data.pixel_width)
if self.PSF.psf_error_map is not None:
self._psf_error_map = True
self._error_map_bool_list = kwargs_numerics.get(
'error_map_bool_list',
[True] * len(self.PointSource.point_source_type_list))
else:
self._psf_error_map = False
else:
self._psf_error_map = False
if source_model_class is None:
source_model_class = LightModel(light_model_list=[])
self.SourceModel = source_model_class
if lens_light_model_class is None:
lens_light_model_class = LightModel(light_model_list=[])
self.LensLightModel = lens_light_model_class
self.source_mapping = Image2SourceMapping(
lensModel=lens_model_class, sourceModel=source_model_class)
self.num_bands = 1
def test_raise(self):
with self.assertRaises(ValueError):
lensModel = LensModel(lens_model_list=['SIS'],
multi_plane=True,
z_source=3,
lens_redshift_list=[0.2],
cosmo=None)
lightModel = LightModel(light_model_list=['UNIFORM'],
deflection_scaling_list=[1.],
source_redshift_list=None)
class_instance = Image2SourceMapping(lensModel, lightModel)
with self.assertRaises(ValueError):
lensModel = LensModel(lens_model_list=['SIS'],
multi_plane=True,
z_source=3,
lens_redshift_list=[0.2],
cosmo=None)
lightModel = LightModel(light_model_list=['UNIFORM'],
deflection_scaling_list=None,
source_redshift_list=[0, 1, 2])
class_instance = Image2SourceMapping(lensModel, lightModel)
with self.assertRaises(ValueError):
lensModel = LensModel(lens_model_list=['SIS'],
multi_plane=True,
z_source=0.5,
lens_redshift_list=[0.2],
cosmo=None)
lightModel = LightModel(light_model_list=['UNIFORM'],
deflection_scaling_list=None,
source_redshift_list=[1])
class_instance = Image2SourceMapping(lensModel, lightModel)
with self.assertRaises(ValueError):
lensModel = LensModel(lens_model_list=['SIS'],
multi_plane=False,
z_source=0.5,
cosmo=None)
lightModel = LightModel(light_model_list=['UNIFORM'],
deflection_scaling_list=[1, 1])
class_instance = Image2SourceMapping(lensModel, lightModel)
def _update_lens_model(self, kwargs_special):
"""
updates lens model instance of this class (and all class instances related to it) when an update to the
modeled redshifts of the deflector and/or source planes are made
:param kwargs_special: keyword arguments from SpecialParam() class return of sampling arguments
:return: None, internal calls instance updated
"""
kwargs_model, update_bool = self.update_kwargs_model(kwargs_special)
if update_bool is True:
# TODO: this class instances are effectively duplicated in the likelihood module and may cause a lot of overhead
# in the calculation as the instances are re-generated every step, and even so doing it twice!
self._lens_model_class, self._source_model_class, _, _, _ = class_creator.create_class_instances(
all_models=True, **kwargs_model)
self._image2SourceMapping = Image2SourceMapping(lensModel=self._lens_model_class,
sourceModel=self._source_model_class)
def test__re_order_split(self):
lensModel = LensModel(lens_model_list=['SIS', 'SIS'],
multi_plane=True,
lens_redshift_list=[0.5, 0.4],
z_source=3)
mapping = Image2SourceMapping(
lensModel,
LightModel(light_model_list=['SERSIC', 'SHAPELETS'],
deflection_scaling_list=None,
source_redshift_list=[2, 0.3]))
n_list = [1, 2]
response = np.zeros((3, 3))
response[1:] = 1
response_reshuffled = mapping._re_order_split(response, n_list)
assert response_reshuffled[0, 0] == 1
assert response_reshuffled[1, 0] == 0
def setup(self):
lens_model_list = ['SIS', 'SIS']
self.kwargs_lens = [{'theta_E': 1, 'center_x': 0, 'center_y': 0}, {'theta_E': 0.5, 'center_x': 1, 'center_y':1}]
singlePlane = LensModel(lens_model_list=lens_model_list)
multiPlane = LensModel(lens_model_list=lens_model_list, multi_plane=True, z_source=3, lens_redshift_list=[0.2, 0.5],
cosmo=None)
pseudoMultiPlane = LensModel(lens_model_list=lens_model_list, multi_plane=True, z_source=3,
lens_redshift_list=[0.5, 0.5],
cosmo=None)
# test single plane single source
# test single plane multi source
# test pseudo multi plane single source
light_model_list = ['SERSIC', 'SERSIC']
self.kwargs_light = [{'amp': 1, 'R_sersic': 1, 'n_sersic': 2, 'center_x': 0, 'center_y': 0},
{'amp':2, 'R_sersic': 0.5, 'n_sersic': 1, 'center_x': 1, 'center_y': 1}]
self.singlePlane_singlePlane = Image2SourceMapping(singlePlane, LightModel(light_model_list,
deflection_scaling_list=None,
source_redshift_list=None))
self.singlePlane_pseudoMulti = Image2SourceMapping(singlePlane, LightModel(light_model_list,
deflection_scaling_list=[1, 1],
source_redshift_list=None))
self.pseudoMulti_pseudoMulti = Image2SourceMapping(pseudoMultiPlane, LightModel(light_model_list,
deflection_scaling_list=None,
source_redshift_list=[3, 3]))
self.pseudoMulti_single = Image2SourceMapping(pseudoMultiPlane, LightModel(light_model_list,
deflection_scaling_list=None,
source_redshift_list=None))
self.multi_single = Image2SourceMapping(multiPlane, LightModel(light_model_list, deflection_scaling_list=None,
source_redshift_list=None))
self.multi_pseudoMulti = Image2SourceMapping(multiPlane, LightModel(light_model_list,
deflection_scaling_list=None,
source_redshift_list=[3, 3]))
self.multi_multi = Image2SourceMapping(multiPlane, LightModel(light_model_list, deflection_scaling_list=None,
source_redshift_list=[0.3, 2]))
def __init__(self,
data_class,
psf_class,
lens_model_class=None,
source_model_class=None,
lens_light_model_class=None,
point_source_class=None,
extinction_class=None,
kwargs_numerics=None,
kwargs_pixelbased=None):
"""
:param data_class: instance of ImageData() or PixelGrid() class
:param psf_class: instance of PSF() class
:param lens_model_class: instance of LensModel() class
:param source_model_class: instance of LightModel() class describing the source parameters
:param lens_light_model_class: instance of LightModel() class describing the lens light parameters
:param point_source_class: instance of PointSource() class describing the point sources
:param kwargs_numerics: keyword arguments with various numeric description (see ImageNumerics class for options)
:param kwargs_pixelbased: keyword arguments with various settings related to the pixel-based solver (see SLITronomy documentation)
"""
self.type = 'single-band'
self.num_bands = 1
self.PSF = psf_class
self.Data = data_class
self.PSF.set_pixel_size(self.Data.pixel_width)
if kwargs_numerics is None:
kwargs_numerics = {}
self.ImageNumerics = NumericsSubFrame(pixel_grid=self.Data,
psf=self.PSF,
**kwargs_numerics)
if lens_model_class is None:
lens_model_class = LensModel(lens_model_list=[])
self.LensModel = lens_model_class
if point_source_class is None:
point_source_class = PointSource(point_source_type_list=[])
self.PointSource = point_source_class
self.PointSource.update_lens_model(lens_model_class=lens_model_class)
x_center, y_center = self.Data.center
self.PointSource.update_search_window(
search_window=np.max(self.Data.width),
x_center=x_center,
y_center=y_center,
min_distance=self.Data.pixel_width,
only_from_unspecified=True)
self._psf_error_map = self.PSF.psf_error_map_bool
if source_model_class is None:
source_model_class = LightModel(light_model_list=[])
self.SourceModel = source_model_class
if lens_light_model_class is None:
lens_light_model_class = LightModel(light_model_list=[])
self.LensLightModel = lens_light_model_class
self._kwargs_numerics = kwargs_numerics
if extinction_class is None:
extinction_class = DifferentialExtinction(optical_depth_model=[])
self._extinction = extinction_class
if kwargs_pixelbased is None:
kwargs_pixelbased = {}
else:
kwargs_pixelbased = kwargs_pixelbased.copy()
self._pixelbased_bool = self._detect_pixelbased_models()
if self._pixelbased_bool is True:
from slitronomy.Util.class_util import create_solver_class # requirement on SLITronomy is exclusively here
self.SourceNumerics = self._setup_pixelbased_source_numerics(
kwargs_numerics, kwargs_pixelbased)
self.PixelSolver = create_solver_class(
self.Data, self.PSF, self.ImageNumerics, self.SourceNumerics,
self.LensModel, self.SourceModel, self.LensLightModel,
self.PointSource, self._extinction, kwargs_pixelbased)
self.source_mapping = None # handled with pixelated operator
else:
self.source_mapping = Image2SourceMapping(
lensModel=lens_model_class, sourceModel=source_model_class)
def __init__(self,
kwargs_model,
kwargs_fixed_lens=None,
kwargs_fixed_source=None,
kwargs_fixed_lens_light=None,
kwargs_fixed_ps=None,
kwargs_fixed_special=None,
kwargs_fixed_extinction=None,
kwargs_lower_lens=None,
kwargs_lower_source=None,
kwargs_lower_lens_light=None,
kwargs_lower_ps=None,
kwargs_lower_special=None,
kwargs_lower_extinction=None,
kwargs_upper_lens=None,
kwargs_upper_source=None,
kwargs_upper_lens_light=None,
kwargs_upper_ps=None,
kwargs_upper_special=None,
kwargs_upper_extinction=None,
kwargs_lens_init=None,
linear_solver=True,
joint_lens_with_lens=[],
joint_lens_light_with_lens_light=[],
joint_source_with_source=[],
joint_lens_with_light=[],
joint_source_with_point_source=[],
joint_lens_light_with_point_source=[],
joint_extinction_with_lens_light=[],
joint_lens_with_source_light=[],
mass_scaling_list=None,
point_source_offset=False,
num_point_source_list=None,
image_plane_source_list=None,
solver_type='NONE',
Ddt_sampling=None,
source_size=False,
num_tau0=0,
lens_redshift_sampling_indexes=None,
source_redshift_sampling_indexes=None,
source_grid_offset=False,
num_shapelet_lens=0,
log_sampling_lens=[]):
"""
:param kwargs_model: keyword arguments to describe all model components used in class_creator.create_class_instances()
:param kwargs_fixed_lens: fixed parameters for lens model (keyword argument list)
:param kwargs_fixed_source: fixed parameters for source model (keyword argument list)
:param kwargs_fixed_lens_light: fixed parameters for lens light model (keyword argument list)
:param kwargs_fixed_ps: fixed parameters for point source model (keyword argument list)
:param kwargs_fixed_special: fixed parameters for special model parameters (keyword arguments)
:param kwargs_fixed_extinction: fixed parameters for extinction model parameters (keyword argument list)
:param kwargs_lower_lens: lower limits for parameters of lens model (keyword argument list)
:param kwargs_lower_source: lower limits for parameters of source model (keyword argument list)
:param kwargs_lower_lens_light: lower limits for parameters of lens light model (keyword argument list)
:param kwargs_lower_ps: lower limits for parameters of point source model (keyword argument list)
:param kwargs_lower_special: lower limits for parameters of special model parameters (keyword arguments)
:param kwargs_lower_extinction: lower limits for parameters of extinction model (keyword argument list)
:param kwargs_upper_lens: upper limits for parameters of lens model (keyword argument list)
:param kwargs_upper_source: upper limits for parameters of source model (keyword argument list)
:param kwargs_upper_lens_light: upper limits for parameters of lens light model (keyword argument list)
:param kwargs_upper_ps: upper limits for parameters of point source model (keyword argument list)
:param kwargs_upper_special: upper limits for parameters of special model parameters (keyword arguments)
:param kwargs_upper_extinction: upper limits for parameters of extinction model (keyword argument list)
:param kwargs_lens_init: initial guess of lens model keyword arguments (only relevant as the starting point of
the non-linear solver)
:param linear_solver: bool, if True fixes the linear amplitude parameters 'amp' (avoid sampling) such that they
get overwritten by the linear solver solution.
:param joint_lens_with_lens: list [[i_lens, k_lens, ['param_name1', 'param_name2', ...]], [...], ...],
joint parameter between two lens models
:param joint_lens_light_with_lens_light: list [[i_lens_light, k_lens_light, ['param_name1', 'param_name2', ...]], [...], ...],
joint parameter between two lens light models, the second adopts the value of the first
:param joint_source_with_source: [[i_source, k_source, ['param_name1', 'param_name2', ...]], [...], ...],
joint parameter between two source surface brightness models, the second adopts the value of the first
:param joint_lens_with_light: list [[i_light, k_lens, ['param_name1', 'param_name2', ...]], [...], ...],
joint parameter between lens model and lens light model
:param joint_source_with_point_source: list [[i_point_source, k_source], [...], ...],
joint position parameter between lens model and source light model
:param joint_lens_light_with_point_source: list [[i_point_source, k_lens_light], [...], ...],
joint position parameter between lens model and lens light model
:param joint_extinction_with_lens_light: list [[i_lens_light, k_extinction, ['param_name1', 'param_name2', ...]], [...], ...],
joint parameters between the lens surface brightness and the optical depth models
:param joint_lens_with_source_light: [[i_source, k_lens, ['param_name1', 'param_name2', ...]], [...], ...],
joint parameter between lens model and source light model. Samples light model parameter only.
:param mass_scaling_list: boolean list of length of lens model list (optional) models with identical integers
will be scaled with the same additional scaling factor. First integer starts with 1 (not 0)
:param point_source_offset: bool, if True, adds relative offsets ot the modeled image positions relative to the
time-delay and lens equation solver
:param num_point_source_list: list of number of point sources per point source model class
:param image_plane_source_list: optional, list of booleans for the source_light components.
If a component is set =True it will parameterized the positions in the image plane and ray-trace the
parameters back to the source position on the fly during the fitting.
:param solver_type: string, option for specific solver type
see detailed instruction of the Solver4Point and Solver2Point classes
:param Ddt_sampling: bool, if True, samples the time-delay distance D_dt (in units of Mpc)
:param source_size: bool, if True, samples a source size parameters to be evaluated in the flux ratio likelihood
:param num_tau0: integer, number of different optical depth re-normalization factors
:param lens_redshift_sampling_indexes: list of integers corresponding to the lens model components whose redshifts
are a free parameter (only has an effect in multi-plane lensing) with same indexes indicating joint redshift,
in ascending numbering e.g. [-1, 0, 0, 1, 0, 2], -1 indicating not sampled fixed indexes
:param source_redshift_sampling_indexes: list of integers corresponding to the source model components whose redshifts
are a free parameter (only has an effect in multi-plane lensing) with same indexes indicating joint redshift,
in ascending numbering e.g. [-1, 0, 0, 1, 0, 2], -1 indicating not sampled fixed indexes. These indexes are
the sample as for the lens
:param source_grid_offset: optional, if True when using a pixel-based modelling (e.g. with STARLETS-like profiles),
adds two additional sampled parameters describing RA/Dec offsets between data coordinate grid and pixelated source plane coordinate grid.
:param num_shapelet_lens: number of shapelet coefficients in the 'SHAPELETS_CART' or 'SHAPELETS_POLAR' mass profile.
:param log_sampling_lens: Sample the log10 of the lens model parameters. Format : [[i_lens, ['param_name1', 'param_name2', ...]], [...], ...],
"""
self._lens_model_list = kwargs_model.get('lens_model_list', [])
self._lens_redshift_list = kwargs_model.get('lens_redshift_list', None)
self._source_light_model_list = kwargs_model.get(
'source_light_model_list', [])
self._source_redshift_list = kwargs_model.get('source_redshift_list',
None)
self._lens_light_model_list = kwargs_model.get('lens_light_model_list',
[])
self._point_source_model_list = kwargs_model.get(
'point_source_model_list', [])
self._optical_depth_model_list = kwargs_model.get(
'optical_depth_model_list', [])
self._kwargs_model = kwargs_model
# check how many redshifts need to be sampled
num_z_sampling = 0
if lens_redshift_sampling_indexes is not None:
num_z_sampling = int(np.max(lens_redshift_sampling_indexes) + 1)
if source_redshift_sampling_indexes is not None:
num_z_source = int(np.max(source_redshift_sampling_indexes) + 1)
num_z_sampling = max(num_z_sampling, num_z_source)
self._num_z_sampling, self._lens_redshift_sampling_indexes, self._source_redshift_sampling_indexes = num_z_sampling, lens_redshift_sampling_indexes, source_redshift_sampling_indexes
self._lens_model_class, self._source_model_class, _, _, _ = class_creator.create_class_instances(
all_models=True, **kwargs_model)
self._image2SourceMapping = Image2SourceMapping(
lensModel=self._lens_model_class,
sourceModel=self._source_model_class)
if kwargs_fixed_lens is None:
kwargs_fixed_lens = [{} for i in range(len(self._lens_model_list))]
if kwargs_fixed_source is None:
kwargs_fixed_source = [
{} for i in range(len(self._source_light_model_list))
]
if kwargs_fixed_lens_light is None:
kwargs_fixed_lens_light = [
{} for i in range(len(self._lens_light_model_list))
]
if kwargs_fixed_ps is None:
kwargs_fixed_ps = [
{} for i in range(len(self._point_source_model_list))
]
if kwargs_fixed_special is None:
kwargs_fixed_special = {}
self._joint_lens_with_lens = joint_lens_with_lens
self._joint_lens_light_with_lens_light = joint_lens_light_with_lens_light
self._joint_source_with_source = joint_source_with_source
self._joint_lens_with_light = joint_lens_with_light
self._joint_lens_with_source_light = joint_lens_with_source_light
self._joint_source_with_point_source = copy.deepcopy(
joint_source_with_point_source)
# Set up the parameters being sampled in log space in a similar way than the parameters being fixed.
self._log_sampling_lens = log_sampling_lens
kwargs_logsampling_lens = [[]
for i in range(len(self._lens_model_list))]
kwargs_logsampling_lens = self._update_log_sampling(
kwargs_logsampling_lens, log_sampling_lens)
for param_list in self._joint_source_with_point_source:
if len(param_list) == 2:
param_list.append(['center_x', 'center_y'])
self._joint_lens_light_with_point_source = copy.deepcopy(
joint_lens_light_with_point_source)
for param_list in self._joint_lens_light_with_point_source:
if len(param_list) == 2:
param_list.append(['center_x', 'center_y'])
if mass_scaling_list is None:
mass_scaling_list = [False] * len(self._lens_model_list)
self._mass_scaling_list = mass_scaling_list
if 1 in self._mass_scaling_list:
self._num_scale_factor = np.max(self._mass_scaling_list)
self._mass_scaling = True
else:
self._num_scale_factor = 0
self._mass_scaling = False
self._point_source_offset = point_source_offset
if num_point_source_list is None:
num_point_source_list = [1] * len(self._point_source_model_list)
# Attention: if joint coordinates with other source profiles, only indicate one as bool
if image_plane_source_list is None:
image_plane_source_list = [False] * len(
self._source_light_model_list)
self._image_plane_source_list = image_plane_source_list
try:
self._num_images = num_point_source_list[0]
except:
self._num_images = 0
self._solver_type = solver_type
if self._solver_type == 'NONE':
self._solver = False
else:
self._solver = True
self._solver_module = Solver(solver_type=self._solver_type,
lensModel=self._lens_model_class,
num_images=self._num_images)
source_model_list = self._source_light_model_list
if len(source_model_list) != 1 or source_model_list[0] not in [
'SLIT_STARLETS', 'SLIT_STARLETS_GEN2'
]:
# source_grid_offset only defined for source profiles compatible with pixel-based solver
source_grid_offset = False
self._joint_extinction_with_lens_light = joint_extinction_with_lens_light
# fix parameters joint within the same model types
kwargs_fixed_lens_updated = self._add_fixed_lens(
kwargs_fixed_lens, kwargs_lens_init)
kwargs_fixed_lens_updated = self._fix_joint_param(
kwargs_fixed_lens_updated, self._joint_lens_with_lens)
kwargs_fixed_lens_updated = self._fix_joint_param(
kwargs_fixed_lens_updated, self._joint_lens_with_source_light)
kwargs_fixed_lens_light_updated = self._fix_joint_param(
kwargs_fixed_lens_light, self._joint_lens_light_with_lens_light)
kwargs_fixed_source_updated = self._fix_joint_param(
kwargs_fixed_source, self._joint_source_with_source)
kwargs_fixed_ps_updated = copy.deepcopy(kwargs_fixed_ps)
kwargs_fixed_extinction_updated = self._fix_joint_param(
kwargs_fixed_extinction, self._joint_extinction_with_lens_light)
# fix parameters joint with other model types
kwargs_fixed_lens_updated = self._fix_joint_param(
kwargs_fixed_lens_updated, self._joint_lens_with_light)
kwargs_fixed_source_updated = self._fix_joint_param(
kwargs_fixed_source_updated, self._joint_source_with_point_source)
kwargs_fixed_lens_light_updated = self._fix_joint_param(
kwargs_fixed_lens_light_updated,
self._joint_lens_light_with_point_source)
self.lensParams = LensParam(self._lens_model_list,
kwargs_fixed_lens_updated,
kwargs_logsampling=kwargs_logsampling_lens,
num_images=self._num_images,
solver_type=self._solver_type,
kwargs_lower=kwargs_lower_lens,
kwargs_upper=kwargs_upper_lens,
num_shapelet_lens=num_shapelet_lens)
self.lensLightParams = LightParam(self._lens_light_model_list,
kwargs_fixed_lens_light_updated,
param_type='lens_light',
linear_solver=linear_solver,
kwargs_lower=kwargs_lower_lens_light,
kwargs_upper=kwargs_upper_lens_light)
self.souceParams = LightParam(self._source_light_model_list,
kwargs_fixed_source_updated,
param_type='source_light',
linear_solver=linear_solver,
kwargs_lower=kwargs_lower_source,
kwargs_upper=kwargs_upper_source)
self.pointSourceParams = PointSourceParam(
self._point_source_model_list,
kwargs_fixed_ps_updated,
num_point_source_list=num_point_source_list,
linear_solver=linear_solver,
kwargs_lower=kwargs_lower_ps,
kwargs_upper=kwargs_upper_ps)
self.extinctionParams = LightParam(
self._optical_depth_model_list,
kwargs_fixed_extinction_updated,
kwargs_lower=kwargs_lower_extinction,
kwargs_upper=kwargs_upper_extinction,
linear_solver=False)
self.specialParams = SpecialParam(
Ddt_sampling=Ddt_sampling,
mass_scaling=self._mass_scaling,
kwargs_fixed=kwargs_fixed_special,
num_scale_factor=self._num_scale_factor,
kwargs_lower=kwargs_lower_special,
kwargs_upper=kwargs_upper_special,
point_source_offset=self._point_source_offset,
num_images=self._num_images,
source_size=source_size,
num_tau0=num_tau0,
num_z_sampling=num_z_sampling,
source_grid_offset=source_grid_offset)
for lens_source_joint in self._joint_lens_with_source_light:
i_source = lens_source_joint[0]
if i_source in self._image_plane_source_list:
raise ValueError(
"linking a source light model with a lens model AND simultaneously parameterizing the"
" source position in the image plane is not valid!")
def __init__(self, kwargs_model,
kwargs_fixed_lens=None, kwargs_fixed_source=None, kwargs_fixed_lens_light=None, kwargs_fixed_ps=None,
kwargs_fixed_special=None, kwargs_fixed_extinction=None,
kwargs_lower_lens=None, kwargs_lower_source=None, kwargs_lower_lens_light=None, kwargs_lower_ps=None,
kwargs_lower_special=None, kwargs_lower_extinction=None,
kwargs_upper_lens=None, kwargs_upper_source=None, kwargs_upper_lens_light=None, kwargs_upper_ps=None,
kwargs_upper_special=None, kwargs_upper_extinction=None,
kwargs_lens_init=None, linear_solver=True, joint_lens_with_lens=[], joint_lens_light_with_lens_light=[],
joint_source_with_source=[], joint_lens_with_light=[], joint_source_with_point_source=[],
joint_lens_light_with_point_source=[], joint_extinction_with_lens_light=[],
joint_lens_with_source_light=[], mass_scaling_list=None, point_source_offset=False,
num_point_source_list=None, image_plane_source_list=None, solver_type='NONE', Ddt_sampling=None,
source_size=False, num_tau0=0):
"""
:return:
"""
self._lens_model_list = kwargs_model.get('lens_model_list', [])
self._source_light_model_list = kwargs_model.get('source_light_model_list', [])
self._lens_light_model_list = kwargs_model.get('lens_light_model_list', [])
self._point_source_model_list = kwargs_model.get('point_source_model_list', [])
self._optical_depth_model_list = kwargs_model.get('optical_depth_model_list', [])
lens_model_class, source_model_class, _, _, _ = class_creator.create_class_instances(all_models=True, **kwargs_model)
self._image2SourceMapping = Image2SourceMapping(lensModel=lens_model_class, sourceModel=source_model_class)
if kwargs_fixed_lens is None:
kwargs_fixed_lens = [{} for i in range(len(self._lens_model_list))]
if kwargs_fixed_source is None:
kwargs_fixed_source = [{} for i in range(len(self._source_light_model_list))]
if kwargs_fixed_lens_light is None:
kwargs_fixed_lens_light = [{} for i in range(len(self._lens_light_model_list))]
if kwargs_fixed_ps is None:
kwargs_fixed_ps = [{} for i in range(len(self._point_source_model_list))]
if kwargs_fixed_special is None:
kwargs_fixed_special = {}
self._joint_lens_with_lens = joint_lens_with_lens
self._joint_lens_light_with_lens_light = joint_lens_light_with_lens_light
self._joint_source_with_source = joint_source_with_source
self._joint_lens_with_light = joint_lens_with_light
self._joint_lens_with_source_light = joint_lens_with_source_light
self._joint_source_with_point_source = copy.deepcopy(joint_source_with_point_source)
for param_list in self._joint_source_with_point_source:
if len(param_list) == 2:
param_list.append(['center_x', 'center_y'])
self._joint_lens_light_with_point_source = copy.deepcopy(joint_lens_light_with_point_source)
for param_list in self._joint_lens_light_with_point_source:
if len(param_list) == 2:
param_list.append(['center_x', 'center_y'])
if mass_scaling_list is None:
mass_scaling_list = [False] * len(self._lens_model_list)
self._mass_scaling_list = mass_scaling_list
if 1 in self._mass_scaling_list:
self._num_scale_factor = np.max(self._mass_scaling_list)
self._mass_scaling = True
else:
self._num_scale_factor = 0
self._mass_scaling = False
self._point_source_offset = point_source_offset
if num_point_source_list is None:
num_point_source_list = [1] * len(self._point_source_model_list)
# Attention: if joint coordinates with other source profiles, only indicate one as bool
if image_plane_source_list is None:
image_plane_source_list = [False] * len(self._source_light_model_list)
self._image_plane_source_list = image_plane_source_list
try:
self._num_images = num_point_source_list[0]
except:
self._num_images = 0
self._solver_type = solver_type
if self._solver_type == 'NONE':
self._solver = False
else:
self._solver = True
self._solver_module = Solver(solver_type=self._solver_type, lensModel=lens_model_class,
num_images=self._num_images)
self._joint_extinction_with_lens_light = joint_extinction_with_lens_light
# fix parameters joint within the same model types
kwargs_fixed_lens_updated = self._add_fixed_lens(kwargs_fixed_lens, kwargs_lens_init)
kwargs_fixed_lens_updated = self._fix_joint_param(kwargs_fixed_lens_updated, self._joint_lens_with_lens)
kwargs_fixed_lens_updated = self._fix_joint_param(kwargs_fixed_lens_updated, self._joint_lens_with_source_light)
kwargs_fixed_lens_light_updated = self._fix_joint_param(kwargs_fixed_lens_light, self._joint_lens_light_with_lens_light)
kwargs_fixed_source_updated = self._fix_joint_param(kwargs_fixed_source, self._joint_source_with_source)
kwargs_fixed_ps_updated = copy.deepcopy(kwargs_fixed_ps)
kwargs_fixed_extinction_updated = self._fix_joint_param(kwargs_fixed_extinction, self._joint_extinction_with_lens_light)
# fix parameters joint with other model types
kwargs_fixed_lens_updated = self._fix_joint_param(kwargs_fixed_lens_updated, self._joint_lens_with_light)
kwargs_fixed_source_updated = self._fix_joint_param(kwargs_fixed_source_updated, self._joint_source_with_point_source)
kwargs_fixed_lens_light_updated = self._fix_joint_param(kwargs_fixed_lens_light_updated,
self._joint_lens_light_with_point_source)
self.lensParams = LensParam(self._lens_model_list, kwargs_fixed_lens_updated, num_images=self._num_images,
solver_type=self._solver_type, kwargs_lower=kwargs_lower_lens,
kwargs_upper=kwargs_upper_lens)
self.lensLightParams = LightParam(self._lens_light_model_list, kwargs_fixed_lens_light_updated, type='lens_light',
linear_solver=linear_solver, kwargs_lower=kwargs_lower_lens_light,
kwargs_upper=kwargs_upper_lens_light)
self.souceParams = LightParam(self._source_light_model_list, kwargs_fixed_source_updated, type='source_light',
linear_solver=linear_solver, kwargs_lower=kwargs_lower_source,
kwargs_upper=kwargs_upper_source)
self.pointSourceParams = PointSourceParam(self._point_source_model_list, kwargs_fixed_ps_updated,
num_point_source_list=num_point_source_list,
linear_solver=linear_solver, kwargs_lower=kwargs_lower_ps,
kwargs_upper=kwargs_upper_ps)
self.extinctionParams = LightParam(self._optical_depth_model_list, kwargs_fixed_extinction_updated,
kwargs_lower=kwargs_lower_extinction, kwargs_upper=kwargs_upper_extinction,
linear_solver=False)
self.specialParams = SpecialParam(Ddt_sampling=Ddt_sampling, mass_scaling=self._mass_scaling,
kwargs_fixed=kwargs_fixed_special, num_scale_factor=self._num_scale_factor,
kwargs_lower=kwargs_lower_special, kwargs_upper=kwargs_upper_special,
point_source_offset=self._point_source_offset, num_images=self._num_images,
source_size=source_size, num_tau0=num_tau0)
for lens_source_joint in self._joint_lens_with_source_light:
i_source = lens_source_joint[0]
if i_source in self._image_plane_source_list:
raise ValueError("linking a source light model with a lens model AND simultaneously parameterizing the"
" source position in the image plane is not valid!")
def __init__(self,
kwargs_model,
kwargs_fixed_lens=None,
kwargs_fixed_source=None,
kwargs_fixed_lens_light=None,
kwargs_fixed_ps=None,
kwargs_fixed_special=None,
kwargs_fixed_extinction=None,
kwargs_lower_lens=None,
kwargs_lower_source=None,
kwargs_lower_lens_light=None,
kwargs_lower_ps=None,
kwargs_lower_special=None,
kwargs_lower_extinction=None,
kwargs_upper_lens=None,
kwargs_upper_source=None,
kwargs_upper_lens_light=None,
kwargs_upper_ps=None,
kwargs_upper_special=None,
kwargs_upper_extinction=None,
kwargs_lens_init=None,
linear_solver=True,
joint_lens_with_lens=[],
joint_lens_light_with_lens_light=[],
joint_source_with_source=[],
joint_lens_with_light=[],
joint_source_with_point_source=[],
joint_lens_light_with_point_source=[],
joint_extinction_with_lens_light=[],
joint_lens_with_source_light=[],
mass_scaling_list=None,
point_source_offset=False,
num_point_source_list=None,
image_plane_source_list=None,
solver_type='NONE',
Ddt_sampling=None,
source_size=False,
num_tau0=0,
lens_redshift_sampling_indexes=None,
source_redshift_sampling_indexes=None,
source_grid_offset=False,
num_shapelet_lens=0):
"""
:param kwargs_model:
:param kwargs_fixed_lens:
:param kwargs_fixed_source:
:param kwargs_fixed_lens_light:
:param kwargs_fixed_ps:
:param kwargs_fixed_special:
:param kwargs_fixed_extinction:
:param kwargs_lower_lens:
:param kwargs_lower_source:
:param kwargs_lower_lens_light:
:param kwargs_lower_ps:
:param kwargs_lower_special:
:param kwargs_lower_extinction:
:param kwargs_upper_lens:
:param kwargs_upper_source:
:param kwargs_upper_lens_light:
:param kwargs_upper_ps:
:param kwargs_upper_special:
:param kwargs_upper_extinction:
:param kwargs_lens_init:
:param linear_solver:
:param joint_lens_with_lens:
:param joint_lens_light_with_lens_light:
:param joint_source_with_source:
:param joint_lens_with_light:
:param joint_source_with_point_source:
:param joint_lens_light_with_point_source:
:param joint_extinction_with_lens_light:
:param joint_lens_with_source_light:
:param mass_scaling_list:
:param point_source_offset:
:param num_point_source_list:
:param image_plane_source_list: optional, list of booleans for the source_light components.
If a component is set =True it will parameterized the positions in the image plane and ray-trace the
parameters back to the source position on the fly during the fitting.
:param solver_type:
:param Ddt_sampling:
:param source_size:
:param num_tau0:
:param lens_redshift_sampling_indexes: list of integers corresponding to the lens model components whose redshifts
are a free parameter (only has an effect in multi-plane lensing) with same indexes indicating joint redshift,
in ascending numbering e.g. [-1, 0, 0, 1, 0, 2], -1 indicating not sampled fixed indexes
:param source_redshift_sampling_indexes: list of integers corresponding to the source model components whose redshifts
are a free parameter (only has an effect in multi-plane lensing) with same indexes indicating joint redshift,
in ascending numbering e.g. [-1, 0, 0, 1, 0, 2], -1 indicating not sampled fixed indexes. These indexes are
the sample as for the lens
:param source_grid_offset: optional, if True when using a pixel-based modelling (e.g. with STARLETS-like profiles),
adds two additional sampled parameters describing RA/Dec offsets between data coordinate grid and pixelated source plane coordinate grid.
:param num_shapelet_lens: number of shapelet coefficients in the 'SHAPELETS_CART' or 'SHAPELETS_POLAR' mass profile.
"""
self._lens_model_list = kwargs_model.get('lens_model_list', [])
self._lens_redshift_list = kwargs_model.get('lens_redshift_list', None)
self._source_light_model_list = kwargs_model.get(
'source_light_model_list', [])
self._source_redshift_list = kwargs_model.get('source_redshift_list',
None)
self._lens_light_model_list = kwargs_model.get('lens_light_model_list',
[])
self._point_source_model_list = kwargs_model.get(
'point_source_model_list', [])
self._optical_depth_model_list = kwargs_model.get(
'optical_depth_model_list', [])
self._kwargs_model = kwargs_model
# check how many redshifts need to be sampled
num_z_sampling = 0
if lens_redshift_sampling_indexes is not None:
num_z_sampling = int(np.max(lens_redshift_sampling_indexes) + 1)
if source_redshift_sampling_indexes is not None:
num_z_source = int(np.max(source_redshift_sampling_indexes) + 1)
num_z_sampling = max(num_z_sampling, num_z_source)
self._num_z_sampling, self._lens_redshift_sampling_indexes, self._source_redshift_sampling_indexes = num_z_sampling, lens_redshift_sampling_indexes, source_redshift_sampling_indexes
self._lens_model_class, self._source_model_class, _, _, _ = class_creator.create_class_instances(
all_models=True, **kwargs_model)
self._image2SourceMapping = Image2SourceMapping(
lensModel=self._lens_model_class,
sourceModel=self._source_model_class)
if kwargs_fixed_lens is None:
kwargs_fixed_lens = [{} for i in range(len(self._lens_model_list))]
if kwargs_fixed_source is None:
kwargs_fixed_source = [
{} for i in range(len(self._source_light_model_list))
]
if kwargs_fixed_lens_light is None:
kwargs_fixed_lens_light = [
{} for i in range(len(self._lens_light_model_list))
]
if kwargs_fixed_ps is None:
kwargs_fixed_ps = [
{} for i in range(len(self._point_source_model_list))
]
if kwargs_fixed_special is None:
kwargs_fixed_special = {}
self._joint_lens_with_lens = joint_lens_with_lens
self._joint_lens_light_with_lens_light = joint_lens_light_with_lens_light
self._joint_source_with_source = joint_source_with_source
self._joint_lens_with_light = joint_lens_with_light
self._joint_lens_with_source_light = joint_lens_with_source_light
self._joint_source_with_point_source = copy.deepcopy(
joint_source_with_point_source)
for param_list in self._joint_source_with_point_source:
if len(param_list) == 2:
param_list.append(['center_x', 'center_y'])
self._joint_lens_light_with_point_source = copy.deepcopy(
joint_lens_light_with_point_source)
for param_list in self._joint_lens_light_with_point_source:
if len(param_list) == 2:
param_list.append(['center_x', 'center_y'])
if mass_scaling_list is None:
mass_scaling_list = [False] * len(self._lens_model_list)
self._mass_scaling_list = mass_scaling_list
if 1 in self._mass_scaling_list:
self._num_scale_factor = np.max(self._mass_scaling_list)
self._mass_scaling = True
else:
self._num_scale_factor = 0
self._mass_scaling = False
self._point_source_offset = point_source_offset
if num_point_source_list is None:
num_point_source_list = [1] * len(self._point_source_model_list)
# Attention: if joint coordinates with other source profiles, only indicate one as bool
if image_plane_source_list is None:
image_plane_source_list = [False] * len(
self._source_light_model_list)
self._image_plane_source_list = image_plane_source_list
try:
self._num_images = num_point_source_list[0]
except:
self._num_images = 0
self._solver_type = solver_type
if self._solver_type == 'NONE':
self._solver = False
else:
self._solver = True
self._solver_module = Solver(solver_type=self._solver_type,
lensModel=self._lens_model_class,
num_images=self._num_images)
source_model_list = self._source_light_model_list
if (len(source_model_list) != 1 or source_model_list[0]
not in ['SLIT_STARLETS', 'SLIT_STARLETS_GEN2']):
# source_grid_offset only defined for source profiles compatible with pixel-based solver
source_grid_offset = False
self._joint_extinction_with_lens_light = joint_extinction_with_lens_light
# fix parameters joint within the same model types
kwargs_fixed_lens_updated = self._add_fixed_lens(
kwargs_fixed_lens, kwargs_lens_init)
kwargs_fixed_lens_updated = self._fix_joint_param(
kwargs_fixed_lens_updated, self._joint_lens_with_lens)
kwargs_fixed_lens_updated = self._fix_joint_param(
kwargs_fixed_lens_updated, self._joint_lens_with_source_light)
kwargs_fixed_lens_light_updated = self._fix_joint_param(
kwargs_fixed_lens_light, self._joint_lens_light_with_lens_light)
kwargs_fixed_source_updated = self._fix_joint_param(
kwargs_fixed_source, self._joint_source_with_source)
kwargs_fixed_ps_updated = copy.deepcopy(kwargs_fixed_ps)
kwargs_fixed_extinction_updated = self._fix_joint_param(
kwargs_fixed_extinction, self._joint_extinction_with_lens_light)
# fix parameters joint with other model types
kwargs_fixed_lens_updated = self._fix_joint_param(
kwargs_fixed_lens_updated, self._joint_lens_with_light)
kwargs_fixed_source_updated = self._fix_joint_param(
kwargs_fixed_source_updated, self._joint_source_with_point_source)
kwargs_fixed_lens_light_updated = self._fix_joint_param(
kwargs_fixed_lens_light_updated,
self._joint_lens_light_with_point_source)
self.lensParams = LensParam(self._lens_model_list,
kwargs_fixed_lens_updated,
num_images=self._num_images,
solver_type=self._solver_type,
kwargs_lower=kwargs_lower_lens,
kwargs_upper=kwargs_upper_lens,
num_shapelet_lens=num_shapelet_lens)
self.lensLightParams = LightParam(self._lens_light_model_list,
kwargs_fixed_lens_light_updated,
type='lens_light',
linear_solver=linear_solver,
kwargs_lower=kwargs_lower_lens_light,
kwargs_upper=kwargs_upper_lens_light)
self.souceParams = LightParam(self._source_light_model_list,
kwargs_fixed_source_updated,
type='source_light',
linear_solver=linear_solver,
kwargs_lower=kwargs_lower_source,
kwargs_upper=kwargs_upper_source)
self.pointSourceParams = PointSourceParam(
self._point_source_model_list,
kwargs_fixed_ps_updated,
num_point_source_list=num_point_source_list,
linear_solver=linear_solver,
kwargs_lower=kwargs_lower_ps,
kwargs_upper=kwargs_upper_ps)
self.extinctionParams = LightParam(
self._optical_depth_model_list,
kwargs_fixed_extinction_updated,
kwargs_lower=kwargs_lower_extinction,
kwargs_upper=kwargs_upper_extinction,
linear_solver=False)
self.specialParams = SpecialParam(
Ddt_sampling=Ddt_sampling,
mass_scaling=self._mass_scaling,
kwargs_fixed=kwargs_fixed_special,
num_scale_factor=self._num_scale_factor,
kwargs_lower=kwargs_lower_special,
kwargs_upper=kwargs_upper_special,
point_source_offset=self._point_source_offset,
num_images=self._num_images,
source_size=source_size,
num_tau0=num_tau0,
num_z_sampling=num_z_sampling,
source_grid_offset=source_grid_offset)
for lens_source_joint in self._joint_lens_with_source_light:
i_source = lens_source_joint[0]
if i_source in self._image_plane_source_list:
raise ValueError(
"linking a source light model with a lens model AND simultaneously parameterizing the"
" source position in the image plane is not valid!")
def __init__(self, kwargs_model,
kwargs_fixed_lens=None, kwargs_fixed_source=None, kwargs_fixed_lens_light=None, kwargs_fixed_ps=None,
kwargs_fixed_cosmo=None,
kwargs_lower_lens=None, kwargs_lower_source=None, kwargs_lower_lens_light=None, kwargs_lower_ps=None,
kwargs_lower_cosmo=None,
kwargs_upper_lens=None, kwargs_upper_source=None, kwargs_upper_lens_light=None, kwargs_upper_ps=None,
kwargs_upper_cosmo=None,
kwargs_lens_init=None, linear_solver=True, joint_lens_with_lens=[], joint_lens_light_with_lens_light=[],
joint_source_with_source=[], joint_lens_with_light=[], joint_source_with_point_source=[],
joint_lens_light_with_point_source=[], mass_scaling_list=None, point_source_offset=False,
num_point_source_list=None, image_plane_source_list=None, solver_type='NONE', cosmo_type=None):
"""
:return:
"""
self._lens_model_list = kwargs_model.get('lens_model_list', [])
self._source_light_model_list = kwargs_model.get('source_light_model_list', [])
self._lens_light_model_list = kwargs_model.get('lens_light_model_list', [])
self._point_source_model_list = kwargs_model.get('point_source_model_list', [])
lensModel = LensModel(lens_model_list=self._lens_model_list, z_source=kwargs_model.get('z_source', None),
lens_redshift_list=kwargs_model.get('redshift_list', None),
multi_plane=kwargs_model.get('multi_plane', False))
sourceModel = LightModel(light_model_list=self._source_light_model_list,
deflection_scaling_list=kwargs_model.get('source_deflection_scaling_list', None),
source_redshift_list=kwargs_model.get('source_redshift_list', None))
self._image2SourceMapping = Image2SourceMapping(lensModel=lensModel, sourceModel=sourceModel)
if kwargs_fixed_lens is None:
kwargs_fixed_lens = [{} for i in range(len(self._lens_model_list))]
if kwargs_fixed_source is None:
kwargs_fixed_source = [{} for i in range(len(self._source_light_model_list))]
if kwargs_fixed_lens_light is None:
kwargs_fixed_lens_light = [{} for i in range(len(self._lens_light_model_list))]
if kwargs_fixed_ps is None:
kwargs_fixed_ps = [{} for i in range(len(self._point_source_model_list))]
if kwargs_fixed_cosmo is None:
kwargs_fixed_cosmo = {}
self._joint_lens_with_lens = joint_lens_with_lens
self._joint_lens_light_with_lens_light = joint_lens_light_with_lens_light
self._joint_source_with_source = joint_source_with_source
self._joint_lens_with_light = joint_lens_with_light
self._joint_source_with_point_source = copy.deepcopy(joint_source_with_point_source)
for param_list in self._joint_source_with_point_source:
if len(param_list) == 2:
param_list.append(['center_x', 'center_y'])
self._joint_lens_light_with_point_source = copy.deepcopy(joint_lens_light_with_point_source)
for param_list in self._joint_lens_light_with_point_source:
if len(param_list) == 2:
param_list.append(['center_x', 'center_y'])
if mass_scaling_list is None:
mass_scaling_list = [False] * len(self._lens_model_list)
self._mass_scaling_list = mass_scaling_list
if 1 in self._mass_scaling_list:
self._num_scale_factor = np.max(self._mass_scaling_list)
self._mass_scaling = True
else:
self._num_scale_factor = 0
self._mass_scaling = False
self._point_source_offset = point_source_offset
if num_point_source_list is None:
num_point_source_list = [1] * len(self._point_source_model_list)
# Attention: if joint coordinates with other source profiles, only indicate one as bool
if image_plane_source_list is None:
image_plane_source_list = [False] * len(self._source_light_model_list)
self._image_plane_source_list = image_plane_source_list
try:
self._num_images = num_point_source_list[0]
except:
self._num_images = 0
self._solver_type = solver_type
if self._solver_type == 'NONE':
self._solver = False
else:
self._solver = True
self._solver_module = Solver(solver_type=self._solver_type, lensModel=lensModel,
num_images=self._num_images)
# fix parameters joint within the same model types
kwargs_fixed_lens_updated = self._add_fixed_lens(kwargs_fixed_lens, kwargs_lens_init)
kwargs_fixed_lens_updated = self._fix_joint_param(kwargs_fixed_lens_updated, self._joint_lens_with_lens)
kwargs_fixed_lens_light_updated = self._fix_joint_param(kwargs_fixed_lens_light, self._joint_lens_light_with_lens_light)
kwargs_fixed_source_updated = self._fix_joint_param(kwargs_fixed_source, self._joint_source_with_source)
kwargs_fixed_ps_updated = copy.deepcopy(kwargs_fixed_ps)
# fix parameters joint with other model types
kwargs_fixed_lens_updated = self._fix_joint_param(kwargs_fixed_lens_updated, self._joint_lens_with_light)
kwargs_fixed_source_updated = self._fix_joint_param(kwargs_fixed_source_updated, self._joint_source_with_point_source)
kwargs_fixed_lens_light_updated = self._fix_joint_param(kwargs_fixed_lens_light_updated,
self._joint_lens_light_with_point_source)
self.lensParams = LensParam(self._lens_model_list, kwargs_fixed_lens_updated, num_images=self._num_images,
solver_type=self._solver_type, kwargs_lower=kwargs_lower_lens,
kwargs_upper=kwargs_upper_lens)
self.lensLightParams = LightParam(self._lens_light_model_list, kwargs_fixed_lens_light_updated, type='lens_light',
linear_solver=linear_solver, kwargs_lower=kwargs_lower_lens_light,
kwargs_upper=kwargs_upper_lens_light)
self.souceParams = LightParam(self._source_light_model_list, kwargs_fixed_source_updated, type='source_light',
linear_solver=linear_solver, kwargs_lower=kwargs_lower_source,
kwargs_upper=kwargs_upper_source)
self.pointSourceParams = PointSourceParam(self._point_source_model_list, kwargs_fixed_ps_updated,
num_point_source_list=num_point_source_list,
linear_solver=linear_solver, kwargs_lower=kwargs_lower_ps,
kwargs_upper=kwargs_upper_ps)
self.cosmoParams = CosmoParam(cosmo_type=cosmo_type, mass_scaling=self._mass_scaling,
kwargs_fixed=kwargs_fixed_cosmo, num_scale_factor=self._num_scale_factor,
kwargs_lower=kwargs_lower_cosmo, kwargs_upper=kwargs_upper_cosmo,
point_source_offset=self._point_source_offset, num_images=self._num_images)