poisson_noise¶
-
sherpa.utils.
poisson_noise
(x)[source] [edit on github]¶ Draw samples from a Poisson distribution.
- Parameters
x (scalar or array) – The expectation value for the distribution.
- Returns
out – A random realisation of the input array, drawn from the Poisson distribution, as a SherpaFloat.
- Return type
scalar or array
Notes
The distribution is calculated by numpy.poisson.poisson.
Examples
>>> poisson_noise([10, 20, 5]) array([ 13., 21., 6.])