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
modelFittableModel

Model to be evaluated.

x_sizeint, optional

Size in x direction of the kernel array. Default = ⌊8*width + 1⌋. Only used if array is None.

y_sizeint, optional

Size in y direction of the kernel array. Default = ⌊8*width + 1⌋. Only used if array is None,

arrayndarray or None, optional

Kernel array. Default is None.

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.

widthnumber

Width of the filter kernel.

factornumber, optional

Factor of oversampling. Default factor = 10.