neg_log_likelihood_numeric#
- ctapipe.image.neg_log_likelihood_numeric(image, prediction, spe_width, pedestal, confidence=0.999)[source]#
Calculate likelihood of prediction given the measured signal, full numerical integration from [DNR09].
- Parameters:
- image: ndarray
Pixel amplitudes from image (\(s\)).
- prediction: ndarray
Predicted pixel amplitudes from model (\(μ\)).
- spe_width: ndarray
Width of single p.e. peak (\(σ_γ\)).
- pedestal: ndarray
Width of pedestal (\(σ_p\)).
- confidence: float, 0 < x < 1
Upper end of Poisson confidence interval of maximum prediction. Determines upper end of poisson integration.
- Returns:
- ndarray