mean_poisson_likelihood_full#
- ctapipe.image.pixel_likelihood.mean_poisson_likelihood_full(prediction, spe_width, ped)[source]#
Calculation of the mean of twice the negative log 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:
- ndarray