coherent_score_mz_fast.create_time_dict#

Back to Module page

Summary#

Creates dictionary indexed by time, giving RA-Dec pairs for montecarlo integration

Signature#

def create_time_dict(nra, ndec, detectors, gps_time = 1136574828.0, dt_sinc = DEFAULT_DT, dt_max = DEFAULT_DT_MAX)

Input variables#
Name	Type	Default	Description
`nra`			number of ra points in grid
`ndec`			number of declinations in grid
`detectors`			List of detectors, each with a location and response as given by LAL
`gps_time`		1136574828.0	Reference GPS time to generate the dictionary for (arbitrary for our use case)
`dt_sinc`		DEFAULT_DT	size of the time binning used in ms; it must coincide with the time separation of samples in the overlap if this dictionary will be used for doing the marginalization
`dt_max`		DEFAULT_DT_MAX	Rough upper bound on the individual delays

Output variables#

Return annotation	Docstring type	Description
`None`		Dictionary indexed by the dts key, returning n_sky x 2 array with indices into ras and decs for each allowed dt tuple 1. List of ras 2. List of decs 3. n_ra x n_dec x n_detector x 2 array with responses 4. n_ra x n_dec x (n_detector - 1) array with delta ts 5. n_ra x n_dec x (n_detector - 1) array with delta phis 6. n_ra x n_dec array with network sensitivity (sum_{det, pol} resp^2)

Docstring#

Creates dictionary indexed by time, giving RA-Dec pairs for montecarlo
integration
:param nra: number of ra points in grid
:param ndec: number of declinations in grid
:param detectors:
    List of detectors, each with a location and response as given by LAL
:param gps_time: Reference GPS time to generate the dictionary for
    (arbitrary for our use case)
:param dt_sinc:
    size of the time binning used in ms; it must coincide with the time
    separation of samples in the overlap if this dictionary will be used
    for doing the marginalization
:param dt_max: Rough upper bound on the individual delays
:return:
    0. Dictionary indexed by the dts key, returning n_sky x 2 array with
       indices into ras and decs for each allowed dt tuple
    1. List of ras
    2. List of decs
    3. n_ra x n_dec x n_detector x 2 array with responses
    4. n_ra x n_dec x (n_detector - 1) array with delta ts
    5. n_ra x n_dec x (n_detector - 1) array with delta phis
    6. n_ra x n_dec array with network sensitivity (sum_{det, pol} resp^2)