MuonIntensityFitter#

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

Bases: TelescopeComponent

Fit muon ring images with a theoretical model to estimate optical efficiency.

Function for producing the expected image for a given set of trial muon parameters without using astropy units but expecting the input to be in the correct ones.

The image prediction function is currently modeled after [CCdNT13].

For more information, also see [GFM+19].

Attributes Summary

`hole_radius_m`	Hole radius of the reflector in m.
`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, ...)

Parameters:

Attributes Documentation

hole_radius_m#: Hole radius of the reflector in m.

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:

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: Radius of muon ring from circle fitting
pixel_x: ndarray: X position of pixels in image from circle fitting
pixel_y: ndarray: Y position of pixel in image from circle fitting
image: ndarray: Amplitude of image pixels
mask: ndarray: mask marking the pixels to be used in the likelihood fit

Returns:

MuonEfficiencyContainer