poisson_noise¶

sherpa.utils.poisson_noise(x)[source]¶

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.])