flip.covariance.adamsblake17plane.generator

flip.covariance.adamsblake17plane.generator#

Functions#

angle_between(ra_0, ra_1, dec_0, dec_1)

Compute cos of the angle between r0 and r1.

separation(r_0, r_1, cos_alpha)

Compute separation between r_0 and r_1.

window_vv(r_0, r_1, cos_alpha, sep, j0kr, j2kr)

Note: here, the bisector angle definition is used to compute

window_vg(r_0, r_1, cos_alpha, sep, j1kr)

Note: here, the bisector angle definition is used to compute

intp(win, k, pk)

compute_coef_gg(k, pk, coord)

compute_coef_gv(k, pk, coord)

compute_coef_vv(k, pk, coord)

covariance_vv(ra_v, dec_v, rcomov_v, wavenumber, ...)

covariance_gv(ra_g, dec_g, rcomov_g, ra_v, dec_v, ...)

covariance_gg(ra_g, dec_g, rcomov_g, wavenumber, ...)

generate_covariance(model_kind, power_spectrum_dict[, ...])

The generate_covariance function generates the covariance matrix for a given model type, power spectrum, and coordinates.

Module Contents#

flip.covariance.adamsblake17plane.generator.angle_between(ra_0, ra_1, dec_0, dec_1)#

Compute cos of the angle between r0 and r1.

flip.covariance.adamsblake17plane.generator.separation(r_0, r_1, cos_alpha)#

Compute separation between r_0 and r_1.

flip.covariance.adamsblake17plane.generator.window_vv(r_0, r_1, cos_alpha, sep, j0kr, j2kr)#

Note: here, the bisector angle definition is used to compute

flip.covariance.adamsblake17plane.generator.window_vg(r_0, r_1, cos_alpha, sep, j1kr)#

Note: here, the bisector angle definition is used to compute

flip.covariance.adamsblake17plane.generator.intp(win, k, pk)#
flip.covariance.adamsblake17plane.generator.compute_coef_gg(k, pk, coord)#
flip.covariance.adamsblake17plane.generator.compute_coef_gv(k, pk, coord)#
flip.covariance.adamsblake17plane.generator.compute_coef_vv(k, pk, coord)#
flip.covariance.adamsblake17plane.generator.covariance_vv(ra_v, dec_v, rcomov_v, wavenumber, power_spectrum, size_batch=100000, number_worker=8)#
flip.covariance.adamsblake17plane.generator.covariance_gv(ra_g, dec_g, rcomov_g, ra_v, dec_v, rcomov_v, wavenumber, power_spectrum, size_batch=100000, number_worker=8)#
flip.covariance.adamsblake17plane.generator.covariance_gg(ra_g, dec_g, rcomov_g, wavenumber, power_spectrum, size_batch=100000, number_worker=8)#
flip.covariance.adamsblake17plane.generator.generate_covariance(model_kind, power_spectrum_dict, coordinates_velocity=None, coordinates_density=None, **kwargs)#

The generate_covariance function generates the covariance matrix for a given model type, power spectrum, and coordinates.

Parameters:

  • model_kind – Determine which covariance matrices are generated, and the coordinates_density and coordinates_velocity parameters are used to generate the covariance matrices

  • power_spectrum_dict – Pass the power spectrum to the function

  • coordinates_velocity – Define the coordinates of the velocity field

  • coordinates_density – Define the coordinates of the density field

  • **kwargs – Pass keyword arguments to the function

:param : Generate the covariance matrix for a given model :param The wide angle definition is bisector.:

Returns:

A dictionary of covariance matrices

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