autolens.AnalysisPoint#
- class autolens.AnalysisPoint(point_dict: autolens.point.point_dataset.PointDict, solver: autolens.point.point_solver.PointSolver, imaging=None, cosmology=FlatLambdaCDM(name="Planck15", H0=67.7 km / (Mpc s), Om0=0.307, Tcmb0=2.725 K, Neff=3.05, m_nu=[0. 0. 0.06] eV, Ob0=0.0486), settings_lens=<autolens.analysis.settings.SettingsLens object>)[source]#
- __init__(point_dict: autolens.point.point_dataset.PointDict, solver: autolens.point.point_solver.PointSolver, imaging=None, cosmology=FlatLambdaCDM(name="Planck15", H0=67.7 km / (Mpc s), Om0=0.307, Tcmb0=2.725 K, Neff=3.05, m_nu=[0. 0. 0.06] eV, Ob0=0.0486), settings_lens=<autolens.analysis.settings.SettingsLens object>)[source]#
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 – A dictionary containing the full point source dictionary that is used for model-fitting.
solver – The object which is used to determine the image-plane of source-plane positions of a model (via a Tracer).
imaging – The imaging of the point-source dataset, which is not used for model-fitting but can be used for visualization.
cosmology – The cosmology of the ray-tracing calculation.
settings_lens – Settings which control how the model-fit is performed.
Methods
__init__
(point_dict, solver[, imaging, …])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.
fit_positions_for
(instance)log_likelihood_function
(instance)Determine the fit of the strong lens system of lens galaxies and source galaxies to the point source data.
make_result
(samples, model, search)modify_after_fit
(paths, model, result)Overwrite this method to modify the attributes of the Analysis class before the non-linear search begins.
modify_before_fit
(paths, model)Overwrite this method to modify the attributes of the Analysis class before the non-linear search begins.
modify_model
(model)profile_log_likelihood_function
(paths, instance)Overwrite this function for profiling of the log likelihood function to be performed every update of a non-linear search.
save_attributes_for_aggregator
(paths)save_results_for_aggregator
(paths, model, …)tracer_via_instance_from
(instance[, …])Create a Tracer from the galaxies contained in a model instance.
visualize
(paths, instance, during_analysis)with_model
(model)Associate an explicit model with this analysis.