TailcutsImageCleaner#

class ctapipe.image.TailcutsImageCleaner(**kwargs: Any)[source]#

Clean images using the standard picture/boundary technique. See ctapipe.image.tailcuts_clean.

Attributes Summary

`boundary_threshold_pe`	second-level threshold in photoelectrons.
`keep_isolated_pixels`	If False, pixels with less neighbors than `min_picture_neighbors` areremoved.
`min_picture_neighbors`	Minimum number of neighbors above threshold to consider.
`picture_threshold_pe`	top-level threshold in photoelectrons.

Methods Summary

__call__(tel_id, image[, arrival_times, ...])

Apply standard picture-boundary cleaning.

Attributes Documentation

keep_isolated_pixels#: If False, pixels with less neighbors than min_picture_neighbors areremoved.

min_picture_neighbors#: Minimum number of neighbors above threshold to consider.

Methods Documentation

__call__(tel_id: int, image: ndarray, arrival_times: ndarray | None = None, *, monitoring: CameraMonitoringContainer | None = None) → ndarray[source]#: Apply standard picture-boundary cleaning. See ImageCleaner.__call__()