This example shows how to use the pylops.basicoperators.Imag operator. This operator returns the imaginary part of the data as a real value in forward mode, and the real part of the model as an imaginary value in adjoint mode (with zero real part).

import matplotlib.gridspec as pltgs
import matplotlib.pyplot as plt
import numpy as np

import pylops


Let’s define a Imag operator \(\mathbf{\Im}\) to extract the imaginary component of the input.

M = 5
x = np.arange(M) + 1j * np.arange(M)[::-1]
Rop = pylops.basicoperators.Imag(M, dtype="complex128")

y = Rop * x
xadj = Rop.H * y

_, axs = plt.subplots(1, 3, figsize=(10, 4))
axs[0].plot(np.real(x), lw=2, label="Real")
axs[0].plot(np.imag(x), lw=2, label="Imag")
axs[1].plot(np.real(y), lw=2, label="Real")
axs[1].plot(np.imag(y), lw=2, label="Imag")
axs[1].set_title("Forward of Input")
axs[2].plot(np.real(xadj), lw=2, label="Real")
axs[2].plot(np.imag(xadj), lw=2, label="Imag")
axs[2].set_title("Adjoint of Forward")
Input, Forward of Input, Adjoint of Forward


Text(0.5, 1.0, 'Adjoint of Forward')

Total running time of the script: ( 0 minutes 0.258 seconds)

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