tailcuts_clean#
- ctapipe.image.cleaning.tailcuts_clean(geom, image, picture_thresh=7, boundary_thresh=5, keep_isolated_pixels=False, min_number_picture_neighbors=0)[source]#
Clean an image by selection pixels that pass a two-threshold tail-cuts procedure. The picture and boundary thresholds are defined with respect to the pedestal dispersion. All pixels that have a signal higher than the picture threshold will be retained, along with all those above the boundary threshold that are neighbors of a picture pixel.
To include extra neighbor rows of pixels beyond what are accepted, use the
ctapipe.image.dilate
function.- Parameters:
- geomctapipe.instrument.CameraGeometry
Camera geometry information
- imagenp.ndarray
pixel charges
- picture_threshfloat | np.ndarray
threshold above which all pixels are retained
- boundary_threshfloat | np.ndarray
threshold above which pixels are retained if they have a neighbor already above the picture_thresh
- keep_isolated_pixelsbool
If True, pixels above the picture threshold will be included always, if not they are only included if a neighbor is in the picture or boundary
- min_number_picture_neighborsint
A picture pixel survives cleaning only if it has at least this number of picture neighbors. This has no effect in case keep_isolated_pixels is True
- Returns:
- A boolean mask of clean pixels.