Moffat2DKernel¶
- class astropy.convolution.Moffat2DKernel(gamma, alpha, **kwargs)[source]¶
Bases:
astropy.convolution.core.Kernel2D
2D Moffat kernel.
This kernel is a typical model for a seeing limited PSF.
- Parameters
- gamma
python:float
Core width of the Moffat model.
- alpha
python:float
Power index of the Moffat model.
- x_size
python:int
, optional Size in x direction of the kernel array. Default = ⌊8*radius + 1⌋.
- y_size
python:int
, optional Size in y direction of the kernel array. Default = ⌊8*radius + 1⌋.
- mode
python:str
, optional - One of the following discretization modes:
- ‘center’ (default)
Discretize model by taking the value at the center of the bin.
- ‘linear_interp’
Discretize model by performing a bilinear interpolation between the values at the corners of the bin.
- ‘oversample’
Discretize model by taking the average on an oversampled grid.
- ‘integrate’
Discretize model by integrating the model over the bin.
- factornumber, optional
Factor of oversampling. Default factor = 10.
- gamma
See also
Examples
Kernel response: