class astropy.convolution.TrapezoidDisk2DKernel(radius, slope=1.0, **kwargs)[source]

Bases: astropy.convolution.Kernel2D

2D trapezoid kernel.

radius : number

Width of the filter kernel, defined as the width of the constant part, before it begins to slope down.

slope : number

Slope of the filter kernel’s tails

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 performing a bilinear interpolation 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.


Kernel response:

import matplotlib.pyplot as plt
from astropy.convolution import TrapezoidDisk2DKernel
trapezoid_2D_kernel = TrapezoidDisk2DKernel(20, slope=0.2)
plt.imshow(trapezoid_2D_kernel, interpolation='none', origin='lower')
plt.xlabel('x [pixels]')
plt.ylabel('y [pixels]')

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