golconda.adjustcls module

class golconda.adjustcls.PowerSpectrum(map, pixelsize)

Bases: object

Class for calculating power spectrum and generating fields with target power spectrum.

Parameters:

• map (ndarray) – Input map.

• pixelsize (float) – Size of each pixel in degrees.

pixelsize

Size of each pixel in degrees.

Type:

float

map_size

Size of the input map.

Type:

int

ell_min

Minimum value of ell.

Type:

float

ell_max

Maximum value of ell.

Type:

float

deltaell

Interval between ell values.

Type:

int

nbinsell

Number of ell bins.

Type:

int

pixel_size_rad_perpixel

Pixel size in radians per pixel.

Type:

float

lpix

Value of lpix.

Type:

float

lx

Array of lx values.

Type:

ndarray

ly

Array of ly values.

Type:

ndarray

l

Array of l values.

Type:

ndarray

ell_edges

Array of ell bin edges.

Type:

ndarray

calculate_Cls(map)

Calculates the power spectrum (Cls) of the input map.

generate_field_with_target_cls(input_field, target_cls, target_ells)

Generates a field with the target power spectrum.

Methods

calculate_Cls(map)	Calculates the power spectrum (Cls) of the input map.
generate_field_with_target_cls(input_field, ...)	Generates a field with the target power spectrum.

calculate_Cls(map)

Calculates the power spectrum (Cls) of the input map.

Parameters:

map (ndarray) – Input map.

Returns:

A tuple containing the ell edges, ell bins, and Cls values.

Return type:

tuple

generate_field_with_target_cls(input_field, target_cls, target_ells)

Generates a field with the target power spectrum.

Parameters:

• input_field (ndarray) – Input field.

• target_cls (ndarray) – Target power spectrum values.

• target_ells (ndarray) – Corresponding ell values for the target power spectrum.

Returns:

Generated field with the target power spectrum.

Return type:

ndarray

Raises:

• AssertionError – If the lengths of target_cls and target_ells are not equal.

• AssertionError – If any value in target_cls is negative.

class golconda.adjustcls.PowerSpectrumAdjuster(map_shape, pixel_size)

Bases: object

Methods

adjust_map_cls(input_map, target_cls, ...)	Adjust the input map to match the target power spectrum.
compute_power_spectrum(image)	Compute the 1D power spectrum from a given 2D image.

adjust_map_cls(input_map, target_cls, target_ells)

Adjust the input map to match the target power spectrum.

Parameters: - input_map: 2D numpy array, the input map. - target_cls: 1D numpy array, the target power spectrum values. - target_ells: 1D numpy array, the target multipole moments.

Returns: - adjusted_map: 2D numpy array, the adjusted map.

compute_power_spectrum(image)

Compute the 1D power spectrum from a given 2D image.

Parameters: - image: 2D numpy array, the input image.

Returns: - ell: 1D numpy array, the multipole moments. - power_spectrum_1d: 1D numpy array, the power spectrum values in [rad^2].

golconda.adjustcls.calculate_Cls_(map, angle, ell_min, ell_max, n_bins)

map: the image from which the angular power spectra (Cls) has to be calculated angle: side angle in the units of degree ell_min: the minimum multipole moment to get the Cls ell_max: the maximum multipole moment to get the Cls n_bins: number of bins in the ells

golconda.adjustcls.fourier_coordinate(x, y, map_size)

golconda.adjustcls.generate_field_with_target_cls_(input_field, angle, target_cls, target_ells, ell_max=40000, n_bins=50)

Adjusts the power spectrum of an input field to match a target power spectrum.

Parameters: - input_field (jax.numpy.ndarray): The input field as a 2D JAX array. - angle (float): The field of view in degrees. - target_cls (jax.numpy.ndarray): Target power spectrum values. - target_ells (jax.numpy.ndarray): Target multipole moments associated with target_cls. - ell_max (int): Maximum multipole moment to consider. - n_bins (int): Number of bins to use for the power spectrum calculation.

Returns: - jax.numpy.ndarray: The adjusted input field, transformed to match the target power spectrum.