Trapezoid1DKernel#

class astropy.convolution.Trapezoid1DKernel(width, slope=1.0, **kwargs)[source]#

Bases: 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{‘center’, ‘linear_interp’, ‘oversample’, ‘integrate’}, 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.

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()

(png, svg, pdf)

../_images/astropy-convolution-Trapezoid1DKernel-1.png