def test_bx():
"gravmag.sphere.bx python vs cython implementation"
py = _sphere_numpy.bx(xp, yp, zp, model)
cy = sphere.bx(xp, yp, zp, model)
diff = np.abs(py - cy)
assert np.all(diff <= lower_precision), \
'max diff: %g python: %g cython %g' \
% (max(diff), py[diff == max(diff)][0], cy[diff == max(diff)][0])
def test_bx():
"gravmag.sphere.bx python vs cython implementation"
py = _sphere_numpy.bx(xp, yp, zp, model)
cy = sphere.bx(xp, yp, zp, model)
diff = np.abs(py - cy)
assert np.all(diff <= lower_precision), \
'max diff: %g python: %g cython %g' \
% (max(diff), py[diff == max(diff)][0], cy[diff == max(diff)][0])
z=2e3,
radius=1.5e3,
props={'magnetization': utils.ang2vec(1, inc=-70, dec=30)})
]
# Set the inclination and declination of the geomagnetic field.
inc, dec = -10, 13
# Create a regular grid at a constant height
shape = (300, 300)
area = [0, 30e3, 0, 30e3]
x, y, z = gridder.regular(area, shape, z=-10)
fields = [
['Total field Anomaly (nt)',
sphere.tf(x, y, z, model, inc, dec)],
['Bx (nT)', sphere.bx(x, y, z, model)],
['By (nT)', sphere.by(x, y, z, model)],
['Bz (nT)', sphere.bz(x, y, z, model)],
]
# Make maps of all fields calculated
fig = plt.figure(figsize=(7, 6))
plt.rcParams['font.size'] = 10
X, Y = x.reshape(shape) / 1000, y.reshape(shape) / 1000
for i, tmp in enumerate(fields):
ax = plt.subplot(2, 2, i + 1)
field, data = tmp
scale = np.abs([data.min(), data.max()]).max()
ax.set_title(field)
plot = ax.pcolormesh(Y,
X,
out = np.array([yi, xi, zi, predict])
out = out.T
np.savetxt('data\predict_' + str(lambida) + '.dat',
out,
delimiter=' ',
fmt='%1.3f')
out = None
# Compute the transformed matrix
Tx = np.empty((N, M), dtype=float)
Ty = np.empty((N, M), dtype=float)
Tz = np.empty((N, M), dtype=float)
for i, c in enumerate(layer):
Tx[:, i] = sphere.bx(xi, yi, zi, [c], pmag=F)
Ty[:, i] = sphere.by(xi, yi, zi, [c], pmag=F)
Tz[:, i] = sphere.bz(xi, yi, zi, [c], pmag=F)
# compute the components
Bx_eq = np.dot(Tx, p)
By_eq = np.dot(Ty, p)
Bz_eq = np.dot(Tz, p)
Tx = None
Ty = None
Tz = None
p = None
#Amplitude of the magnetic anomaly vector
B_eq = np.sqrt(Bx_eq * Bx_eq + By_eq * By_eq + Bz_eq * Bz_eq)
model = [
mesher.Sphere(x=10e3, y=10e3, z=2e3, radius=1.5e3,
props={'magnetization': utils.ang2vec(1, inc=50, dec=-30)}),
mesher.Sphere(x=20e3, y=20e3, z=2e3, radius=1.5e3,
props={'magnetization': utils.ang2vec(1, inc=-70, dec=30)})]
# Set the inclination and declination of the geomagnetic field.
inc, dec = -10, 13
# Create a regular grid at a constant height
shape = (300, 300)
area = [0, 30e3, 0, 30e3]
x, y, z = gridder.regular(area, shape, z=-10)
fields = [
['Total field Anomaly (nt)', sphere.tf(x, y, z, model, inc, dec)],
['Bx (nT)', sphere.bx(x, y, z, model)],
['By (nT)', sphere.by(x, y, z, model)],
['Bz (nT)', sphere.bz(x, y, z, model)],
]
# Make maps of all fields calculated
fig = plt.figure(figsize=(7, 6))
plt.rcParams['font.size'] = 10
X, Y = x.reshape(shape)/1000, y.reshape(shape)/1000
for i, tmp in enumerate(fields):
ax = plt.subplot(2, 2, i + 1)
field, data = tmp
scale = np.abs([data.min(), data.max()]).max()
ax.set_title(field)
plot = ax.pcolormesh(Y, X, data.reshape(shape), cmap='RdBu_r',
vmin=-scale, vmax=scale)