# Kernel2D¶

class astropy.convolution.Kernel2D(model=None, x_size=None, y_size=None, array=None, **kwargs)[source] [edit on github]

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.