Gaussian1DKernel¶
-
class
astropy.convolution.
Gaussian1DKernel
(stddev, **kwargs)[source] [edit on github]¶ Bases:
astropy.convolution.Kernel1D
1D Gaussian filter kernel.
The Gaussian filter is a filter with great smoothing properties. It is isotropic and does not produce artifacts.
Parameters: - stddev : number
Standard deviation of the Gaussian kernel.
- x_size : odd int, optional
Size of the kernel array. Default = 8 * stddev
- 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. Very slow.
- factor : number, optional
Factor of oversampling. Default factor = 10. If the factor is too large, evaluation can be very slow.
See also
Examples
Kernel response:
import matplotlib.pyplot as plt from astropy.convolution import Gaussian1DKernel gauss_1D_kernel = Gaussian1DKernel(10) plt.plot(gauss_1D_kernel, drawstyle='steps') plt.xlabel('x [pixels]') plt.ylabel('value') plt.show()
()