MuonIntensityFitter#

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

Bases: TelescopeComponent

Fit 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

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 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