coherent_score_hm_search.SearchCoherentScoreHMAS#

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Summary#

Class to marginalize the likelihood over extrinsic parameters, intended for the search pipeline.

Methods#
Method	Summary
get_marginalization_info	Return a MarginalizationInfoHM object with extrinsic parameter integration results, ensuring that one of three conditions regarding the effective sample size holds: \* n_effective >= .min_n_effective; or \* n_qmc == 2 \\ .max_log2n_qmc; or \* n_effective = 0 (if the first proposal only gave unphysical samples)
lnlike_marginalized	Return log of marginalized likelihood over inclination, sky location, orbital phase, polarization, time of arrival and distance.

Class docstring#

Class to marginalize the likelihood over extrinsic parameters,
intended for the search pipeline.

Assumptions:
    * Quasicircular
    * Aligned spins,
    * (l, m) = [(2, 2), (3, 3), (4, 4)] harmonics.