sample_sphere_distance#
- gammapy.utils.random.sample_sphere_distance(distance_min=0, distance_max=1, size=None, random_state='random-seed')[source]#
Sample random distances if the 3-dim space density is constant.
This function uses inverse transform sampling (Wikipedia) to generate random distances for an observer located in a 3-dim space with constant source density in the range
(distance_min, distance_max).- Parameters:
- distance_minfloat, optional
Minimum distance. Default is 0.
- distance_maxfloat, optional
Maximum distance. Default is 1.
- sizeint or tuple of ints, optional
Output shape. Default is one sample. Passed to
numpy.random.uniform.- random_state{int, ‘random-seed’, ‘global-rng’,
RandomState}, optional Defines random number generator initialisation. Passed to
get_random_state. Default is “random-seed”.
- Returns:
- distance
ndarray Array of samples.
- distance