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.])