calc_poisson_llu¶

hep_spt.calc_poisson_llu(m, cl=0.6826894921370859)[source]¶

Calculate poisson uncertainties based on the logarithm of likelihood.

Parameters

m (float or numpy.ndarray(float)) – mean of the Poisson distribution.
cl (float or numpy.ndarray(float)) – confidence level (between 0 and 1).

Returns

Lower and upper uncertainties.

Return type

(float, float) or numpy.ndarray(float, float)

Note

This function might turn very time consuming. Consider using poisson_llu() instead.