Kernel2D

class astropy.convolution.Kernel2D(model=None, x_size=None, y_size=None, array=None, **kwargs)

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.