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- Convolution and filtering (`astropy.convolution`) »
- Trapezoid1DKernel

# Trapezoid1DKernel

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

  Bases: `astropy.convolution.core.Kernel1D`

  1D trapezoid kernel.

  Parameters:

  width : number

  > Width of the filter kernel.

  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 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.

  factor : number, optional

  > Factor of oversampling. Default factor = 10.

  See also

  `Box1DKernel`, `Gaussian1DKernel`, `MexicanHat1DKernel`

  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()

  > (Source code, png, hires.png, pdf)