Trapezoid1DKernel

class astropy.convolution.Trapezoid1DKernel(width, slope=1.0, **kwargs)

Bases: astropy.convolution.Kernel1D

1D trapezoid kernel.

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

modestr, 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

Box1DKernel, Gaussian1DKernel, RickerWavelet1DKernel

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)