neg_log_likelihood_numeric¶
-
ctapipe.image.neg_log_likelihood_numeric(image, prediction, spe_width, pedestal, confidence=(0.001, 0.999))[source]¶ Calculate likelihood of prediction given the measured signal, full numerical integration from [denaurois2009].
- 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: tuple(float, float), 0 < x < 1
Confidence interval of poisson integration.
- Returns
- float