Kernel2D¶

class
astropy.convolution.
Kernel2D
(model=None, x_size=None, y_size=None, array=None, **kwargs)[source]¶ 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.
 model :