make_100gaussians_image

photutils.datasets.make_100gaussians_image(noise=True)

Make an example image containing 100 2D Gaussians plus a constant background.

The constant background has a value of 5.

If noise is True, then Gaussian noise with a mean of 0 and a standard deviation of 2 is added to the output image. The noise is generated with a fixed random seed, so the output image is the same for every call.

Parameters:

noisebool, optional

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

Returns:

image2D ndarray

The image, with shape (300, 500), containing 100 2D Gaussian sources.

See also

make_4gaussians_image

Examples

import matplotlib.pyplot as plt
from astropy.visualization import simple_norm
from photutils.datasets import make_100gaussians_image

image = make_100gaussians_image()
fig, ax = plt.subplots()
norm = simple_norm(image, 'sqrt', percent=99.5)
ax.imshow(image, norm=norm, origin='lower')

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