Ring2DKernel¶
-
class
astropy.convolution.
Ring2DKernel
(radius_in, width, **kwargs)[source]¶ Bases:
astropy.convolution.Kernel2D
2D Ring filter kernel.
The Ring filter kernel is the difference between two Tophat kernels of different width. This kernel is useful for, e.g., background estimation.
- Parameters
- radius_innumber
Inner radius of the ring kernel.
- widthnumber
Width of the ring kernel.
- 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: