make_4gaussians_image

photutils.datasets.make_4gaussians_image(noise=True)

Make an example image containing four 2D Gaussians plus a constant background.

The background has a mean of 5.

If noise is True, then Gaussian noise with a mean of 0 and a standard deviation of 5 is added to the output image.

Parameters:

noisebool, optional

Whether to include noise in the output image (default is True).

Returns:

image2D ndarray

Image containing four 2D Gaussian sources.

See also

make_100gaussians_image

Examples

import matplotlib.pyplot as plt
from astropy.visualization import simple_norm
from photutils.datasets import make_4gaussians_image

image = make_4gaussians_image()
fig, ax = plt.subplots()
norm = simple_norm(image, 'sqrt', percent=99.5)
ax.imshow(image, norm=norm, origin='lower')

(Source code, png, hires.png, pdf, svg)