def __init__(
self,
dataset,
positions: grid_2d_irregular.Grid2DIrregular = None,
hyper_result=None,
cosmology=cosmo.Planck15,
settings_pixelization=pix.SettingsPixelization(),
settings_inversion=inv.SettingsInversion(),
settings_lens=settings.SettingsLens(),
preloads=pload.Preloads(),
):
super().__init__(
dataset=dataset,
positions=positions,
hyper_result=hyper_result,
cosmology=cosmology,
settings_pixelization=settings_pixelization,
settings_inversion=settings_inversion,
settings_lens=settings_lens,
preloads=preloads,
)
if self.hyper_result is not None:
self.set_hyper_dataset(result=self.hyper_result)
else:
self.hyper_galaxy_visibilities_path_dict = None
self.hyper_model_visibilities = None
def __init__(
self,
dataset,
positions: grid_2d_irregular.Grid2DIrregular = None,
hyper_result=None,
cosmology=cosmo.Planck15,
settings_pixelization=pix.SettingsPixelization(),
settings_inversion=inv.SettingsInversion(),
settings_lens=settings.SettingsLens(),
preloads=pload.Preloads(),
):
"""
Parameters
----------
dataset
positions : grid_2d_irregular.Grid2DIrregular
Image-pixel coordinates in arc-seconds of bright regions of the lensed source that will map close to one
another in the source-plane(s) for an accurate mass model, which can be used to discard unphysical mass
models during model-fitting.
cosmology
settings_pixelization
settings_inversion
settings_lens
preloads
"""
super().__init__(
dataset=dataset,
hyper_result=hyper_result,
cosmology=cosmology,
settings_pixelization=settings_pixelization,
settings_inversion=settings_inversion,
preloads=preloads,
)
AnalysisLensing.__init__(self=self,
settings_lens=settings_lens,
cosmology=cosmology)
self.positions = positions
self.settings_lens = settings_lens
def __init__(
self,
point_dict: ps.PointDict,
solver: psolve.PositionsSolver,
imaging=None,
cosmology=cosmo.Planck15,
settings_lens=settings.SettingsLens(),
):
"""
The analysis performed for model-fitting a point-source dataset, for example fitting the point-sources of a
multiply imaged lensed quasar or supernovae of many source galaxies of a galaxy cluster.
The analysis brings together the data, model and non-linear search in the classes `log_likelihood_function`,
which is called by every iteration of the non-linear search to compute a likelihood value which samples
parameter space.
Parameters
----------
point_dict : ps.PointDict
A dictionary containing the full point source dictionary that is used for model-fitting.
solver : psolve.PositionsSolver
The object which is used to determine the image-plane of source-plane positions of a model (via a `Tracer`).
imaging : Imaging
The imaging of the point-source dataset, which is not used for model-fitting but can be used for
visualization.
cosmology : astropy.cosmology
The cosmology of the ray-tracing calculation.
settings_lens : settings.SettingsLens()
Settings which control how the model-fit is performed.
"""
super().__init__(settings_lens=settings_lens, cosmology=cosmology)
AnalysisLensing.__init__(self=self,
settings_lens=settings_lens,
cosmology=cosmology)
self.point_dict = point_dict
self.solver = solver
self.imaging = imaging
def __init__(self,
settings_lens=settings.SettingsLens(),
cosmology=cosmo.Planck15):
self.cosmology = cosmology
self.settings_lens = settings_lens