mean_poisson_likelihood_full

ctapipe.image.pixel_likelihood.mean_poisson_likelihood_full(prediction, spe_width, ped)

Calculation of the mean likelihood for a give expectation value of pixel intensity using the full numerical integration. This is useful in the calculation of the goodness of fit. This numerical integration is very slow and really doesn’t make a large difference in the goodness of fit in most cases.

Parameters

prediction: ndarray

Predicted pixel amplitudes from model

spe_width: ndarray

Width of single p.e. distribution

pedestal: ndarray

Width of pedestal

Returns

float