Trapezoid1DKernel¶
- class astropy.convolution.Trapezoid1DKernel(width, slope=1.0, **kwargs)[source]¶
Bases:
astropy.convolution.core.Kernel1D
1D trapezoid kernel.
The generated kernel is normalized so that it integrates to 1.
- Parameters
- widthnumber
Width of the filter kernel, defined as the width of the constant part, before it begins to slope down.
- slopenumber
Slope of the filter kernel’s tails
- mode
python: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.
- factornumber, optional
Factor of oversampling. Default factor = 10.
See also
Examples
Kernel response:
import matplotlib.pyplot as plt from astropy.convolution import Trapezoid1DKernel trapezoid_1D_kernel = Trapezoid1DKernel(17, slope=0.2) plt.plot(trapezoid_1D_kernel, drawstyle='steps') plt.xlabel('x [pixels]') plt.ylabel('amplitude') plt.xlim(-1, 28) plt.show()