simpeg.electromagnetics.time_domain.sources.TriangularWaveform#
- class simpeg.electromagnetics.time_domain.sources.TriangularWaveform(start_time, off_time, peak_time, **kwargs)[source]#
Bases:
TrapezoidWaveform
TriangularWaveform is a special case of TrapezoidWaveform where there’s no pleateau
- Parameters:
Attributes
Window of time within which the waveform is considered on
Whether the waveform has initial fields.
Off-time
Peak time
times over which the transmitter ramps off.
times over which the transmitter ramps on.
time_nodes
Methods
eval
(time)Evaluate current waveform at a given time
eval_deriv
(time)Evaluate the time derivative of the linear ramp-off waveform at given times
Examples
>>> import matplotlib.pyplot as plt >>> import numpy as np >>> from simpeg.electromagnetics import time_domain as tdem
>>> times = np.linspace(0, 1e-2, 1000) >>> waveform = tdem.sources.TriangularWaveform(start_time=1E-3, off_time=6e-3, peak_time=3e-3) >>> plt.plot(times, [waveform.eval(t) for t in times]) >>> plt.show()
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Source code
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Galleries and Tutorials using simpeg.electromagnetics.time_domain.sources.TriangularWaveform
#
TDEM: Waveforms
1D Forward Simulation with User-Defined Waveforms
1D Forward Simulation with User-Defined Waveforms