lenstronomy.Sampling.Likelihoods package¶
Submodules¶
lenstronomy.Sampling.Likelihoods.image_likelihood module¶
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class
lenstronomy.Sampling.Likelihoods.image_likelihood.
ImageLikelihood
(multi_band_list, multi_band_type, kwargs_model, bands_compute=None, image_likelihood_mask_list=None, source_marg=False, linear_prior=None, check_positive_flux=False, kwargs_pixelbased=None)[source]¶ Bases:
object
manages imaging data likelihoods
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logL
(kwargs_lens=None, kwargs_source=None, kwargs_lens_light=None, kwargs_ps=None, kwargs_special=None, kwargs_extinction=None)[source]¶ Parameters: - kwargs_lens – lens model keyword argument list according to LensModel module
- kwargs_source – source light keyword argument list according to LightModel module
- kwargs_lens_light – deflector light (not lensed) keyword argument list according to LightModel module
- kwargs_ps – point source keyword argument list according to PointSource module
- kwargs_special – special keyword argument list as part of the Param module
- kwargs_extinction – extinction parameter keyword argument list according to LightModel module
Returns: log likelihood of the data given the model
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num_data
¶ Returns: number of image data points
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lenstronomy.Sampling.Likelihoods.position_likelihood module¶
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class
lenstronomy.Sampling.Likelihoods.position_likelihood.
PositionLikelihood
(point_source_class, image_position_uncertainty=0.005, astrometric_likelihood=False, image_position_likelihood=False, ra_image_list=[], dec_image_list=[], source_position_likelihood=False, check_matched_source_position=False, source_position_tolerance=0.001, source_position_sigma=0.001, force_no_add_image=False, restrict_image_number=False, max_num_images=None)[source]¶ Bases:
object
likelihood of positions of multiply imaged point sources
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static
astrometric_likelihood
(kwargs_ps, kwargs_special, sigma)[source]¶ evaluates the astrometric uncertainty of the model plotted point sources (only available for ‘LENSED_POSITION’ point source model) and predicted image position by the lens model including an astrometric correction term.
Parameters: - kwargs_ps – point source model kwargs list
- kwargs_special – kwargs list, should include the astrometric corrections ‘delta_x’, ‘delta_y’
- sigma – 1-sigma Gaussian uncertainty in the astrometry
Returns: log likelihood of the astrometirc correction between predicted image positions and model placement of the point sources
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check_additional_images
(kwargs_ps, kwargs_lens)[source]¶ checks whether additional images have been found and placed in kwargs_ps :param kwargs_ps: point source kwargs :return: bool, True if more image positions are found than originally been assigned
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image_position_likelihood
(kwargs_ps, kwargs_lens, sigma)[source]¶ computes the likelihood of the model predicted image position relative to measured image positions with an astrometric error. This routine requires the ‘ra_image_list’ and ‘dec_image_list’ being declared in the initiation of the class
Parameters: - kwargs_ps – point source keyword argument list
- kwargs_lens – lens model keyword argument list
- sigma – 1-sigma uncertainty in the measured position of the images
Returns: log likelihood of the model predicted image positions given the data/measured image positions.
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logL
(kwargs_lens, kwargs_ps, kwargs_special, verbose=False)[source]¶ Parameters: - kwargs_lens – lens model parameter keyword argument list
- kwargs_ps – point source model parameter keyword argument list
- kwargs_special – special keyword arguments
- verbose – bool
Returns: log likelihood of the optional likelihoods being computed
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num_data
¶ Returns: integer, number of data points assocated with the class instance
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source_position_likelihood
(kwargs_lens, kwargs_ps, sigma, hard_bound_rms=None, verbose=False)[source]¶ computes a likelihood/punishing factor of how well the source positions of multiple images match given the image position and a lens model. The likelihood level is computed in respect of a displacement in the image plane and transposed through the Hessian into the source plane.
Parameters: - kwargs_lens – lens model keyword argument list
- kwargs_ps – point source keyword argument list
- sigma – 1-sigma Gaussian uncertainty in the image plane
- hard_bound_rms – hard bound deviation between the mapping of the images back to the source plane (in source frame)
- verbose – bool, if True provides print statements with useful information.
Returns: log likelihood of the model reproducing the correct image positions given an image position uncertainty
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static
lenstronomy.Sampling.Likelihoods.prior_likelihood module¶
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class
lenstronomy.Sampling.Likelihoods.prior_likelihood.
PriorLikelihood
(prior_lens=[], prior_source=[], prior_lens_light=[], prior_ps=[], prior_special=[], prior_extinction=[], prior_lens_kde=[], prior_source_kde=[], prior_lens_light_kde=[], prior_ps_kde=[], prior_special_kde=[], prior_extinction_kde=[], prior_lens_lognormal=[], prior_source_lognormal=[], prior_lens_light_lognormal=[], prior_ps_lognormal=[], prior_special_lognormal=[], prior_extinction_lognormal=[])[source]¶ Bases:
object
class containing additional Gaussian priors to be folded into the likelihood
lenstronomy.Sampling.Likelihoods.time_delay_likelihood module¶
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class
lenstronomy.Sampling.Likelihoods.time_delay_likelihood.
TimeDelayLikelihood
(time_delays_measured, time_delays_uncertainties, lens_model_class, point_source_class)[source]¶ Bases:
object
class to compute the likelihood of a model given a measurement of time delays
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logL
(kwargs_lens, kwargs_ps, kwargs_cosmo)[source]¶ routine to compute the log likelihood of the time delay distance :param kwargs_lens: lens model kwargs list :param kwargs_ps: point source kwargs list :param kwargs_cosmo: cosmology and other kwargs :return: log likelihood of the model given the time delay data
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num_data
¶ Returns: number of time delay measurements
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