flip.covariance.carreres23.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(r_0, r_1, cos_alpha, sep, j0kr, j2kr)	Note: here, the bisector angle definition is used in wide-angle
intp(win, k, pk)
covariance_vv(ra_in, dec_in, rcomov_in, k_in, pk_in[, ...])
compute_coef(k, pk, coord)
generate_covariance(model_kind, power_spectrum_dict[, ...])	The generate_covariance function generates a covariance matrix for the velocity field.

Module Contents

flip.covariance.carreres23.generator.angle_between(ra_0, ra_1, dec_0, dec_1)

Compute cos of the angle between r0 and r1.

flip.covariance.carreres23.generator.separation(r_0, r_1, cos_alpha)

Compute separation between r_0 and r_1.

flip.covariance.carreres23.generator.window(r_0, r_1, cos_alpha, sep, j0kr, j2kr)

Note: here, the bisector angle definition is used in wide-angle

flip.covariance.carreres23.generator.intp(win, k, pk)

flip.covariance.carreres23.generator.covariance_vv(ra_in, dec_in, rcomov_in, k_in, pk_in, grid_window_in=None, size_batch=100000, number_worker=8)

flip.covariance.carreres23.generator.compute_coef(k, pk, coord)

flip.covariance.carreres23.generator.generate_covariance(model_kind, power_spectrum_dict, coordinates_density=False, coordinates_velocity=None, **kwargs)

The generate_covariance function generates a covariance matrix for the velocity field.

Parameters:

• model_kind – Specify the type of model to generate

• power_spectrum_dict – Pass the power spectrum to the function

• coordinates_density – Specify the coordinates of the density field

• coordinates_velocity – Generate the covariance matrix

• **kwargs – Pass additional parameters to the function

:param : Generate the covariance matrix for the velocity field :param The wide angle used is the bisector.:

Returns:

A dictionary with a single key "vv"