gravelamps.likelihood.strong
============================

.. py:module:: gravelamps.likelihood.strong

.. autoapi-nested-parse::

   Gravelamps Strong Lensing Likelihoods

   Following are functions handling likelihoods for strong lenisng anslyses 

   Written by Mick Wright 2023

   Classes
   -------
   JointGWTransient
       Implementation of the model specific joint likelihood computation for strongly lensed events

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Classes
-------

.. autoapisummary::

   gravelamps.likelihood.strong.JointGWTransient


Module Contents
---------------

.. py:class:: JointGWTransient(interferometers_first, interferometers_second, generator_first, generator_second, priors=None)

   Bases: :py:obj:`bilby.core.likelihood.Likelihood`


   
   Implementation of the model specific joint likelihood computation for strongly lensed events
















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   .. py:property:: priors
      
      Prior implementation
















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   .. py:method:: noise_log_likelihood()

      
      Compute the noise log likeihood for the two images at the same time
















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   .. py:method:: calculate_snrs(waveform_polarisations, interferometer, parameters)

      
      Calculate the SNR for a detector
















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   .. py:method:: log_likelihood_image(polarisation, interferometers)

      
      Calculate the contribution to the log likelihood from an individual image
















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   .. py:method:: log_likelihood_ratio()

      
      Compute the log likelihood ratio for the two lensed images
















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   .. py:method:: log_likelihood()

      
      Compute the log likelihood for the event pair
















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