coherent_score_mz_fast.marg_lk

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Summary

Computes likelihood marginalized over distance and orbital phase

Signature

def marg_lk(zz, tt, gtype = 1, nsamp = None)

Input variables

Name	Type	Default	Description
zz			nsamp x n_detector array with rows having complex overlaps for each detector
tt			nsamp x n_detector array with predicted overlaps in each detector for fiducial orbital phase and distance (upto an arbitrary scaling factor)
gtype		1	passed to function to compute marginalization over distance and phase, determines which one to run
nsamp		None	Pass to only sum over part of the arrays

Output variables

Return annotation	Docstring type	Description
None		nsamp array of likelihoods marginalized over the orbital phase, and distance if needed (always 1D)

Docstring

Computes likelihood marginalized over distance and orbital phase
:param zz:
    nsamp x n_detector array with rows having complex overlaps for
    each detector
:param tt: nsamp x n_detector array with predicted overlaps in each
    detector for fiducial orbital phase and distance
    (upto an arbitrary scaling factor)
:param gtype: passed to function to compute marginalization over distance
    and phase, determines which one to run
:param nsamp: Pass to only sum over part of the arrays
:returns:
    nsamp array of likelihoods marginalized over the orbital phase, and
    distance if needed (always 1D)