MuonIntensityFitter#
- class ctapipe.image.MuonIntensityFitter(**kwargs: Any)[source]#
 Bases:
TelescopeComponentFit muon ring images with a theoretical model to estimate optical efficiency.
The image prediction function is currently modeled after [CCdNT13].
For more information, also see [GFM+19].
Attributes Summary
The radius of the hole in the center of the primary mirror dish in meters.The hole is not circular in shape; however, it can be well approximated as a circle with the same area.It is defined with the flat-to-flat distance (LST: 1.51 m, MST: 1.2 m, SST: 0.78 m).We approximate the hexagonal hole with a circle that has the same surface area.
Minimum wavelength for Cherenkov light in m.
Minimum wavelength for Cherenkov light in m.
Oversampling for the line integration.
Width of a single photo electron distribution.
Methods Summary
__call__(tel_id, center_x, center_y, radius, ...)Attributes Documentation
- hole_radius_m#
 The radius of the hole in the center of the primary mirror dish in meters.The hole is not circular in shape; however, it can be well approximated as a circle with the same area.It is defined with the flat-to-flat distance (LST: 1.51 m, MST: 1.2 m, SST: 0.78 m).We approximate the hexagonal hole with a circle that has the same surface area.
- max_lambda_m#
 Minimum wavelength for Cherenkov light in m.
- min_lambda_m#
 Minimum wavelength for Cherenkov light in m.
- oversampling#
 Oversampling for the line integration.
- spe_width#
 Width of a single photo electron distribution.
Methods Documentation
- __call__(tel_id, center_x, center_y, radius, image, pedestal, mask=None)[source]#
 - Parameters:
 - tel_id: int
 the telescope id
- center_x: Angle quantity
 Initial guess for muon ring center in telescope frame
- center_y: Angle quantity
 Initial guess for muon ring center in telescope frame
- radius: Angle quantity
 Initial guess for muon ring radius in telescope frame
- image: ndarray
 Amplitude of image pixels
- pedestal: ndarray
 Pedestal standard deviation in each pixel
- mask: ndarray
 mask marking the pixels to be used in the likelihood fit
- Returns:
 - MuonEfficiencyContainer