Moffat2DKernel¶
-
class
astropy.convolution.
Moffat2DKernel
(gamma, alpha, **kwargs)[source]¶ Bases:
astropy.convolution.Kernel2D
2D Moffat kernel.
This kernel is a typical model for a seeing limited PSF.
- Parameters
- gammafloat
Core width of the Moffat model.
- alphafloat
Power index of the Moffat model.
- x_sizeodd int, optional
Size in x direction of the kernel array. Default = 8 * radius.
- y_sizeodd int, optional
Size in y direction of the kernel array. Default = 8 * radius.
- modestr, 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.
See also
Examples
Kernel response: