Model1DKernel¶
-
class
astropy.convolution.
Model1DKernel
(model, **kwargs)[source] [edit on github]¶ Bases:
astropy.convolution.Kernel1D
Create kernel from 1D model.
The model has to be centered on x = 0.
Parameters: model :
Fittable1DModel
Kernel response function model
x_size : odd int, optional
Size in x direction of the kernel array. Default = 8 * width.
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.
Raises: TypeError
If model is not an instance of
Fittable1DModel
See also
Model2DKernel
- Create kernel from
Fittable2DModel
CustomKernel
- Create kernel from list or array
Examples
Define a Gaussian1D model:
>>> from astropy.modeling.models import Gaussian1D >>> from astropy.convolution.kernels import Model1DKernel >>> gauss = Gaussian1D(1, 0, 2)
And create a custom one dimensional kernel from it:
>>> gauss_kernel = Model1DKernel(gauss, x_size=9)
This kernel can now be used like a usual Astropy kernel.