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:

off_timefloat: time when the transmitter current returns to zero
peak_timefloat: time when the transmitter waveform is at a peak

Attributes

`epsilon`	Window of time within which the waveform is considered on
`has_initial_fields`	Whether the waveform has initial fields.
`off_time`	Off-time
`peak_time`	Peak time
`ramp_off`	times over which the transmitter ramps off.
`ramp_on`	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()