Kernel2D¶
-
class
astropy.convolution.
Kernel2D
(model=None, x_size=None, y_size=None, array=None, **kwargs)[source] [edit on github]¶ Bases:
astropy.convolution.Kernel
Base class for 2D filter kernels.
Parameters: model :
FittableModel
Model to be evaluated.
x_size : odd int, optional
Size in x direction of the kernel array. Default = 8 * width.
y_size : odd int, optional
Size in y direction of the kernel array. Default = 8 * width.
array :
ndarray
Kernel array.
mode : 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.
width : number
Width of the filter kernel.
factor : number, optional
Factor of oversampling. Default factor = 10.