Kernel1D¶
-
class
astropy.convolution.
Kernel1D
(model=None, x_size=None, array=None, **kwargs)[source] [edit on github]¶ Bases:
astropy.convolution.Kernel
Base class for 1D filter kernels.
Parameters: - 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.
- model :