parameterization

GWCorrect.wfu.parameterization.parameterization(hf1,hf2,prior,nsamples,
spline_resolution=0.5,npoints=None,psd_data=None,correction_parameter=1e-4,
ref_amplitude=None,polarization='plus')

Generates samples of waveform differences between two approximants and parameterizes the data.

Parameters:

hf1: bilby.gw.waveform_generator.WaveformGenerator

frequency domain waveform generator object

hf2: bilby.gw.waveform_generator.WaveformGenerator

frequency domain waveform generator object

prior: bilby.core.prior.dict.PriorDict

bilby prior object

nsamples: int

number of draws of waveform uncertainty desired

spline_resolution: float, optional, (0.5)

fraction of the frequency grid length to use as the number of spline nodes

npoints: int, optional, (None)

length of the desired frequency grid; if None, this will be set automatically by the frequency grid

psd_data: numpy.ndarray, optional, (None)

array containing the power spectral density data and their corresponding frequencies; if None, psd_data will be set to GW170817 PSD data

correction_parameter: float, optional, (0.0001)

fraction of maximum amplitude to cut off the amplitude at

ref_amplitude: numpy.ndarray, optional, (None)

reference amplitude for residual phase calculation

polarization: string, optional, (‘plus’)

polarization of the strain data (plus or cross)

Returns:

parameterized_data: numpy.ndarray

table containing the following:

frequency_grid: numpy.ndarray

frequencies corresponding to the frequency parameters specified

frequency_nodes: numpy.ndarray

frequency nodes for the splines

dA_parameters: numpy.ndarray

amplitude difference spline parameters

dphi_parameters: numpy.ndarray

phase difference spline parameters

injection: dictionary

source parameters injected into the waveform generators