imaging_cpu Namespace Reference

Functions
	load_config (config_file)
	read_xyz_coordinates (filename)
	compute_uvw (x_m, y_m, z_m, HAs, Decs, optimized=True)
	save_uvw (u, v, w, directory)
	uniform_image (visibilities, u, v, image_size, predefined_max_uv, use_predefined_params=False, optimized=True)
	save_images (images, image_size, directory, save_as_csv=False)
	str2bool (v)
	main ()

Function Documentation

compute_uvw()

imaging_cpu.compute_uvw	(		x_m,
			y_m,
			z_m,
			HAs,
			Decs,
			optimized = True )

Compute UVW coordinates from XYZ coordinates for multiple directions.

Parameters:
x_m, y_m, z_m (array-like): XYZ coordinates of the antennas.
HAs, Decs (array-like): Hour angles and declinations for multiple directions.
optimized (bool): Use optimized implementation if True, else use non-optimized implementation.

Returns:
tuple: Lists of U, V, and W coordinates for each direction.

load_config()

imaging_cpu.load_config

(

config_file

)

Load configuration from a JSON file.

Parameters:
config_file (str): The path to the JSON configuration file.

Returns:
dict: Configuration dictionary.

main()

imaging_cpu.main

(

)

read_xyz_coordinates()

imaging_cpu.read_xyz_coordinates

(

filename

)

Read XYZ coordinates from a CSV file.

Parameters:
filename (str): The path to the CSV file.

Returns:
tuple: Arrays of X, Y, and Z coordinates.

save_images()

imaging_cpu.save_images	(		images,
			image_size,
			directory,
			save_as_csv = False )

Save images to the specified directory as PNG files and optionally as CSV files.

Parameters:
images (list): List of images to save.
image_size (int): The size of the images.
directory (str): The directory to save the images.
save_as_csv (bool): Save images as CSV files if True.

save_uvw()

imaging_cpu.save_uvw	(		u,
			v,
			w,
			directory )

Save UVW coordinates to CSV files in the specified directory.

Parameters:
u, v, w (list): Lists of U, V, and W coordinates for each direction.
directory (str): The directory to save the UVW coordinate files.

str2bool()

imaging_cpu.str2bool

(

v

)

uniform_image()

imaging_cpu.uniform_image	(		visibilities,
			u,
			v,
			image_size,
			predefined_max_uv,
			use_predefined_params = False,
			optimized = True )

Generate a uniform image from visibilities using FFT.

Parameters:
visibilities (array-like): The visibilities for multiple directions.
u, v (array-like): U and V coordinates.
image_size (int): The size of the output image.
predefined_max_uv (float): Predefined maximum UV value.
use_predefined_params (bool): Whether to use predefined UVW parameters.
optimized (bool): Use optimized implementation if True, else use non-optimized implementation.

Returns:
ndarray: The generated dirty image.