Box1DKernel¶
-
class
astropy.convolution.
Box1DKernel
(width, **kwargs)[source]¶ Bases:
astropy.convolution.Kernel1D
1D Box filter kernel.
The Box filter or running mean is a smoothing filter. It is not isotropic and can produce artifacts, when applied repeatedly to the same data.
By default the Box kernel uses the
linear_interp
discretization mode, which allows non-shifting, even-sized kernels. This is achieved by weighting the edge pixels with 1/2. E.g a Box kernel with an effective smoothing of 4 pixel would have the following array: [0.5, 1, 1, 1, 0.5].- Parameters
- widthnumber
Width of the filter kernel.
- modestr, optional
- One of the following discretization modes:
- ‘center’
Discretize model by taking the value at the center of the bin.
- ‘linear_interp’ (default)
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.
- factornumber, optional
Factor of oversampling. Default factor = 10.
Examples
Kernel response function: