class astropy.convolution.Kernel1D(model=None, x_size=None, array=None, **kwargs)[source]

Bases: astropy.convolution.Kernel

Base class for 1D filter kernels.

model : FittableModel

Model to be evaluated.

x_size : odd int, optional

Size of the kernel array. Default = 8 * width.

array : ndarray

Kernel array.

width : number

Width of the filter kernel.

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 linearly interpolating 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.
factor : number, optional

Factor of oversampling. Default factor = 10.