Note

Click here to download the full example code

# Electric Dipole in a Whole Space: Frequency Domain¶

In this example, we plot electric and magnetic flux density due to an electric dipole in a whole space. Note that you can also examine the current density and magnetic field.

We can vary the conductivity, magnetic permeability and dielectric permittivity of the wholespace, the frequency of the source and whether or not the quasistatic assumption is imposed.

author: | Lindsey Heagy (@lheagy) |
---|---|

date: | June 2, 2018 |

```
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
from scipy.constants import mu_0, epsilon_0
from geoana import utils, spatial
from geoana.em import fdem
```

## Setup¶

define frequencies that we want to examine, physical properties of the wholespace and location and orientation of the dipole

```
frequencies = np.logspace(0, 4, 3) # frequencies to examine
sigma = 1. # conductivity of 1 S/m
mu = mu_0 # permeability of free space (this is the default)
epsilon=epsilon_0 # permittivity of free space (this is the default)
location=np.r_[0., 0., 0.] # location of the dipole
orientation='Z' # vertical dipole (can also be a unit-vector)
quasistatic=False # don't use the quasistatic assumption
```

## Electric Dipole¶

Here, we build the geoana electric dipole in a wholespace using the
parameters defined above. For a full list of the properties you can set on an
electric dipole, see the `geoana.em.fdem.ElectricDipoleWholeSpace`

docs

```
edipole = fdem.ElectricDipoleWholeSpace(
sigma=sigma, mu=mu, epsilon=epsilon,
location=location, orientation=orientation,
quasistatic=False
)
```

## Evaluate fields and fluxes¶

Next, we construct a grid where we want to plot electric fields

```
x = np.linspace(-50, 50, 100)
z = np.linspace(-50, 50, 100)
xyz = utils.ndgrid([x, np.r_[0], z])
```

and define plotting code to plot an image of the amplitude of the vector field / flux as well as the streamlines

```
def plot_amplitude(ax, v):
v = spatial.vector_magnitude(v)
plt.colorbar(
ax.pcolormesh(
x, z, v.reshape(len(x), len(z), order='F'), norm=LogNorm()
), ax=ax
)
ax.axis('square')
ax.set_xlabel('x (m)')
ax.set_ylabel('z (m)')
# plot streamlines
def plot_streamlines(ax, v):
vx = v[:, 0].reshape(len(x), len(z), order='F')
vz = v[:, 2].reshape(len(x), len(z), order='F')
ax.streamplot(x, z, vx.T, vz.T, color='k')
```

Create subplots for plotting the results. Loop over frequencies and plot the electric and magnetic fields along a slice through the center of the dipole.

```
fig_e, ax_e = plt.subplots(
2, len(frequencies), figsize=(5*len(frequencies), 7)
)
fig_b, ax_b = plt.subplots(
2, len(frequencies), figsize=(5*len(frequencies), 7)
)
for i, frequency in enumerate(frequencies):
# set the frequency of the dipole
edipole.frequency = frequency
# evaluate the electric field and magnetic flux density
electric_field = edipole.electric_field(xyz)
magnetic_flux_density = edipole.magnetic_flux_density(xyz)
# plot amplitude of electric field
for ax, reim in zip(ax_e[:, i], ['real', 'imag']):
# grab real or imag component
e_plot = getattr(electric_field, reim)
# plot both amplitude and streamlines
plot_amplitude(ax, e_plot)
plot_streamlines(ax, e_plot)
# set the title
ax.set_title(
'E {} at {:1.1e} Hz'.format(reim, frequency)
)
# plot the amplitude of the magnetic field (note the magnetic field is into
# and out of the page in this geometry, so we don't plot vectors)
for ax, reim in zip(ax_b[:, i], ['real', 'imag']):
# grab real or imag component
b_plot = getattr(magnetic_flux_density, reim)
# plot amplitude
plot_amplitude(ax, b_plot)
# set the title
ax.set_title(
'B {} at {:1.1e} Hz'.format(reim, frequency)
)
# format so text doesn't overlap
fig_e.tight_layout()
fig_b.tight_layout()
plt.show()
```

**Total running time of the script:** ( 0 minutes 8.108 seconds)