coherent_score_mz_fast

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Purpose

Fast and legacy coherent-scoring support utilities.

Module summary

No module-level description available.

Top-level functions

Function	Summary
coherent_score_montecarlo_sky	# TODO: Avoid tuples, make varargs? Evaluates the coherent score integral by montecarlo sampling all relevant variables
create_samples	Create samples and save to file
create_time_dict	Creates dictionary indexed by time, giving RA-Dec pairs for montecarlo integration
delays	Computes delays in arrival times between detectors, referred to the first (beyond 2 delays for most, and 3 delays for all, they’re overspecified, but that’s OK) Always a 1D array
dt2key	Jitable key for the dictionary from the time delays This is clunky but faster than the nice expression by O(1) when vectorized
gen_sample_amps_from_fplus_fcross
lg_approx	No docstring summary available.
lg_fast	Fast evaluation of the marginalized piece via an interpolation table for a vector x, much faster via vectors than many scalars due to vectorized interp
lgg	param: zthatthatz
marg_lk	Computes likelihood marginalized over distance and orbital phase
phase_lags	Computes phase lags between detectors, referred to the first (beyond 2 delays for most, and 3 delays for all, they’re overspecified, but that’s OK)
rand_choice_nb

Classes

Class	Summary
CoherentScoreMZ	No class docstring summary available.