StereoMeanCombiner

class ctapipe.reco.stereo_combination.StereoMeanCombiner(**kwargs: Any)

Bases: ctapipe.reco.stereo_combination.StereoCombiner

Calculate array-event prediction as (weighted) mean of telescope-wise predictions

Attributes Summary

log_target	If true, calculate exp(mean(log(values)))
weights	An enum of strings where the case should be ignored.

Methods Summary

__call__(event)	Calculate the mean prediction for a single array event.
predict_table(mono_predictions)	Calculates the (array-)event-wise mean.

Attributes Documentation

log_target

If true, calculate exp(mean(log(values)))

weights

An enum of strings where the case should be ignored.

Methods Documentation

__call__(event: ctapipe.containers.ArrayEventContainer) → None

Calculate the mean prediction for a single array event.

predict_table(mono_predictions: astropy.table.table.Table) → astropy.table.table.Table

Calculates the (array-)event-wise mean. Telescope events, that are nan, get discarded. This means you might end up with less events if all telescope predictions of a shower are invalid.