smpy.coordinates.radec.RADecSystem

class smpy.coordinates.radec.RADecSystem

Implementation for RA/Dec celestial coordinates.

Handles celestial coordinates including spherical corrections and appropriate binning for sky projections. Applies coordinate transformations to account for spherical geometry effects.

__init__()

Methods

__init__()
calculate_boundaries(coord1, coord2)	Calculate field boundaries in RA/Dec space.
create_grid(data_df, boundaries, config)	Create shear grid in RA/Dec space.
get_grid_parameters(config)	Get RA/Dec specific grid parameters.
prepare_data(data_df)	Prepare data for gridding by validating and transforming coordinates.
transform_coordinates(data_df)	Transform RA/Dec coordinates by centering and flattening RA.

get_grid_parameters(config)

Get RA/Dec specific grid parameters.

Extract celestial coordinate system parameters including angular resolution for grid spacing.

Parameters:

config (dict) – Configuration dictionary containing RA/Dec settings.

Returns:

grid_params – Grid parameters dictionary containing: - resolution_arcmin: Grid spacing in arcminutes

Return type:

dict

create_grid(data_df, boundaries, config)

Create shear grid in RA/Dec space.

Create a regular grid in celestial coordinates accounting for spherical projection effects and appropriate angular binning.

Parameters:

• data_df (pandas.DataFrame) – DataFrame with scaled coordinates and shear data.

• boundaries (dict) – Dictionary with coordinate boundaries.

• config (dict) – Configuration dictionary with RA/Dec parameters.

Returns:

• g1_grid (numpy.ndarray) – 2D array containing binned first shear component values.

• g2_grid (numpy.ndarray) – 2D array containing binned second shear component values.

calculate_boundaries(coord1, coord2)

Calculate field boundaries in RA/Dec space.

Determine coordinate ranges for celestial coordinates and set up both scaled boundaries (accounting for spherical projection) and true boundaries (preserving original coordinates).

Parameters:

• coord1 (numpy.ndarray) – RA values in degrees.

• coord2 (numpy.ndarray) – Dec values in degrees.

Returns:

• scaled_boundaries (dict) – Dictionary with scaled coordinate boundaries accounting for spherical projection effects.

• true_boundaries (dict) – Dictionary with original celestial coordinate boundaries.

transform_coordinates(data_df)

Transform RA/Dec coordinates by centering and flattening RA.

Apply coordinate transformations to account for spherical geometry by centering coordinates and flattening RA using cos(Dec) correction.

Parameters:

data_df (pandas.DataFrame) – DataFrame with coord1(RA), coord2(Dec) columns.

Returns:

transformed_df – DataFrame with additional scaled coordinates corrected for spherical projection effects.

Return type:

pandas.DataFrame