def test_great_arc_points_differentiates(aia171_test_map):
coordinate_frame = aia171_test_map.coordinate_frame
a = SkyCoord(600 * u.arcsec, -600 * u.arcsec, frame=coordinate_frame)
b = SkyCoord(-100 * u.arcsec, 800 * u.arcsec, frame=coordinate_frame)
gc = GreatArc(a, b)
coordinates = gc.coordinates(10)
inner_angles = gc.inner_angles(11)
distances = gc.distances(12)
assert len(coordinates) == 10 and len(gc.coordinates()) == 100
assert len(inner_angles) == 11 and len(gc.inner_angles()) == 100
assert len(distances) == 12 and len(gc.distances()) == 100
def test_great_arc_points_differentiates():
m = sunpy.map.Map(sunpy.map.Map(sunpy.data.test.get_test_filepath('aia_171_level1.fits')))
coordinate_frame = m.coordinate_frame
a = SkyCoord(600*u.arcsec, -600*u.arcsec, frame=coordinate_frame)
b = SkyCoord(-100*u.arcsec, 800*u.arcsec, frame=coordinate_frame)
gc = GreatArc(a, b)
coordinates = gc.coordinates(10)
inner_angles = gc.inner_angles(11)
distances = gc.distances(12)
assert len(coordinates) == 10 and len(gc.coordinates()) == 100
assert len(inner_angles) == 11 and len(gc.inner_angles()) == 100
assert len(distances) == 12 and len(gc.distances()) == 100
def test_great_arc_points_differentiates():
m = sunpy.map.Map(sunpy.map.Map(sunpy.data.test.get_test_filepath('aia_171_level1.fits')))
coordinate_frame = m.coordinate_frame
a = SkyCoord(600*u.arcsec, -600*u.arcsec, frame=coordinate_frame)
b = SkyCoord(-100*u.arcsec, 800*u.arcsec, frame=coordinate_frame)
gc = GreatArc(a, b)
coordinates = gc.coordinates(10)
inner_angles = gc.inner_angles(11)
distances = gc.distances(12)
assert len(coordinates) == 10 and len(gc.coordinates()) == 100
assert len(inner_angles) == 11 and len(gc.inner_angles()) == 100
assert len(distances) == 12 and len(gc.distances()) == 100
def test_great_arc_coordinates(points_requested, points_expected, first_point,
last_point, last_inner_angle, last_distance,
aia171_test_map):
coordinate_frame = aia171_test_map.coordinate_frame
a = SkyCoord(600 * u.arcsec, -600 * u.arcsec, frame=coordinate_frame)
b = SkyCoord(-100 * u.arcsec, 800 * u.arcsec, frame=coordinate_frame)
gc = GreatArc(a, b, points=points_requested)
coordinates = gc.coordinates()
inner_angles = gc.inner_angles()
distances = gc.distances()
# Ensure a GreatArc object is returned
assert isinstance(gc, GreatArc)
# Test the properties of the GreatArc object
a_trans = a.transform_to(frames.Heliocentric)
assert gc.start.x == a_trans.x
assert gc.start.y == a_trans.y
assert gc.start.z == a_trans.z
b_trans = b.transform_to(frames.Heliocentric(observer=a.observer))
assert gc.end.x == b_trans.x
assert gc.end.y == b_trans.y
assert gc.end.z == b_trans.z
assert gc.distance_unit == u.m
assert gc.observer == a.observer
assert gc.center.x == 0 * u.m
assert gc.center.y == 0 * u.m
assert gc.center.z == 0 * u.m
assert u.allclose(
gc.start_cartesian * u.m,
np.asarray([428721.0913539, -428722.9051924, 341776.0910214]) * u.km)
assert u.allclose(
gc.end_cartesian * u.m,
np.asarray([-71429.5229381, 571439.071248, 390859.5797815]) * u.km)
assert u.allclose(gc.center_cartesian * u.m, np.asarray([0, 0, 0]) * u.km)
assert u.allclose(
gc.v1 * u.m,
np.asarray([428721.0913539, -428722.9051924, 341776.0910214]) * u.km)
assert u.allclose(gc._r, 696000000.0015007)
assert u.allclose(
gc.v2 * u.m,
np.asarray([-71429.5229381, 571439.071248, 390859.5797815]) * u.km)
assert u.allclose(
gc.v3 * u.m,
np.asarray([56761.6265851, 466230.7005856, 513637.0815867]) * u.km)
# Inner angle
assert gc.inner_angle.unit == u.rad
np.testing.assert_almost_equal(gc.inner_angle.value, 1.8683580432741789)
# Distance
assert gc.distance.unit == u.m
np.testing.assert_approx_equal(gc.distance.value, 1300377198.1299164)
# Radius of the sphere
assert gc.radius.unit == u.m
assert u.isclose(gc.radius.value * u.m, 696000.000001501 * u.km)
# Test the calculation of the SkyCoords
# Coordinates method
# Number of points
assert len(coordinates) == points_expected
# Start and end coordinates
np.testing.assert_almost_equal(coordinates[0].Tx.value, first_point[0])
np.testing.assert_almost_equal(coordinates[0].Ty.value, first_point[1])
np.testing.assert_almost_equal(coordinates[-1].Tx.value, last_point[0])
np.testing.assert_almost_equal(coordinates[-1].Ty.value, last_point[1])
# Inner angles method
# Inner angles
assert len(inner_angles) == points_expected
np.testing.assert_almost_equal(inner_angles[-1].value, last_inner_angle)
# Distances method
assert len(distances) == points_expected
assert u.isclose(distances[-1].value * u.m, last_distance * u.km)
ax = plt.subplot(projection=m)
m.plot(axes=ax)
ax.plot_coord(great_arc.coordinates(), color='c')
plt.show()
###############################################################################
# Now we can calculate the nearest integer pixels of the data that correspond
# to the location of arc.
pixels = np.asarray(np.rint(m.world_to_pixel(great_arc.coordinates())),
dtype=int)
x = pixels[0, :]
y = pixels[1, :]
###############################################################################
# Get the intensity along the arc from the start to the end point.
intensity_along_arc = m.data[y, x]
###############################################################################
# Define the angular location of each pixel along the arc from the start point
# to the end.
angles = great_arc.inner_angles().to(u.deg)
###############################################################################
# Plot the intensity along the arc from the start to the end point.
fig, ax = plt.subplots()
ax.plot(angles, intensity_along_arc)
ax.set_xlabel('degrees of arc from start')
ax.set_ylabel('intensity')
ax.grid(linestyle='dotted')
plt.show()
def test_great_arc_coordinates(points_requested, points_expected, first_point,
last_point, last_inner_angle, last_distance):
m = sunpy.map.Map(
sunpy.map.Map(
sunpy.data.test.get_test_filepath('aia_171_level1.fits')))
coordinate_frame = m.coordinate_frame
a = SkyCoord(600 * u.arcsec, -600 * u.arcsec, frame=coordinate_frame)
b = SkyCoord(-100 * u.arcsec, 800 * u.arcsec, frame=coordinate_frame)
gc = GreatArc(a, b, points=points_requested)
coordinates = gc.coordinates()
inner_angles = gc.inner_angles()
distances = gc.distances()
# Ensure a GreatArc object is returned
assert isinstance(gc, GreatArc)
# Test the properties of the GreatArc object
assert gc.start == a
assert gc.end == b
assert gc.distance_unit == u.km
assert gc.observer == a.observer
assert gc.center.x == 0 * u.km
assert gc.center.y == 0 * u.km
assert gc.center.z == 0 * u.km
np.testing.assert_almost_equal(
gc.start_cartesian,
np.asarray([428721.0913539, -428722.9051924, 341776.0910214]))
np.testing.assert_almost_equal(
gc.end_cartesian,
np.asarray([-71429.5229381, 571439.071248, 390859.5797815]))
np.testing.assert_almost_equal(gc.center_cartesian, np.asarray([0, 0, 0]))
np.testing.assert_almost_equal(
gc.v1, np.asarray([428721.0913539, -428722.9051924, 341776.0910214]))
np.testing.assert_almost_equal(gc._r, 696000.000001501)
np.testing.assert_almost_equal(
gc.v2, np.asarray([-71429.5229381, 571439.071248, 390859.5797815]))
np.testing.assert_almost_equal(
gc.v3, np.asarray([56761.6265851, 466230.7005856, 513637.0815867]))
# Inner angle
assert gc.inner_angle.unit == u.rad
np.testing.assert_almost_equal(gc.inner_angle.value, 1.8683580432741789)
# Distance
assert gc.distance.unit == u.km
np.testing.assert_almost_equal(gc.distance.value, 1300377.1981298963)
# Radius of the sphere
assert gc.radius.unit == u.km
np.testing.assert_almost_equal(gc.radius.value, 696000.000001501)
# Test the calculation of the SkyCoords
# Coordinates method
# Number of points
assert len(coordinates) == points_expected
# Start and end coordinates
np.testing.assert_almost_equal(coordinates[0].Tx.value, first_point[0])
np.testing.assert_almost_equal(coordinates[0].Ty.value, first_point[1])
np.testing.assert_almost_equal(coordinates[-1].Tx.value, last_point[0])
np.testing.assert_almost_equal(coordinates[-1].Ty.value, last_point[1])
# Inner angles method
# Inner angles
assert len(inner_angles) == points_expected
np.testing.assert_almost_equal(inner_angles[-1].value, last_inner_angle)
# Distances method
assert len(distances) == points_expected
np.testing.assert_almost_equal(distances[-1].value, last_distance)
def test_great_arc_coordinates(points_requested, points_expected, first_point,
last_point, last_inner_angle, last_distance):
m = sunpy.map.Map(sunpy.map.Map(sunpy.data.test.get_test_filepath('aia_171_level1.fits')))
coordinate_frame = m.coordinate_frame
a = SkyCoord(600*u.arcsec, -600*u.arcsec, frame=coordinate_frame)
b = SkyCoord(-100*u.arcsec, 800*u.arcsec, frame=coordinate_frame)
gc = GreatArc(a, b, points=points_requested)
coordinates = gc.coordinates()
inner_angles = gc.inner_angles()
distances = gc.distances()
# Ensure a GreatArc object is returned
assert isinstance(gc, GreatArc)
# Test the properties of the GreatArc object
assert gc.start == a
assert gc.end == b
assert gc.distance_unit == u.km
assert gc.observer == a.observer
assert gc.center.x == 0 * u.km
assert gc.center.y == 0 * u.km
assert gc.center.z == 0 * u.km
np.testing.assert_almost_equal(gc.start_cartesian, np.asarray([428721.09135385, -428722.90519236, 341776.09102756]))
np.testing.assert_almost_equal(gc.end_cartesian, np.asarray([-71429.52293813, 571439.07124801, 390859.57978693]))
np.testing.assert_almost_equal(gc.center_cartesian, np.asarray([0, 0, 0]))
np.testing.assert_almost_equal(gc.v1, np.asarray([428721.09135385, -428722.90519236, 341776.09102756]))
np.testing.assert_almost_equal(gc._r, 696000.00000451738)
np.testing.assert_almost_equal(gc.v2, np.asarray([-71429.52293813, 571439.07124801, 390859.57978693]))
np.testing.assert_almost_equal(gc.v3, np.asarray([56761.62657985, 466230.70058902, 513637.08158833]))
# Inner angle
assert gc.inner_angle.unit == u.rad
np.testing.assert_almost_equal(gc.inner_angle.value, 1.8683580432741789)
# Distance
assert gc.distance.unit == u.km
np.testing.assert_almost_equal(gc.distance.value, 1300377.1981272686)
# Radius of the sphere
assert gc.radius.unit == u.km
np.testing.assert_almost_equal(gc.radius.value, 696000.0000045174)
# Test the calculation of the SkyCoords
# Coordinates method
# Number of points
assert len(coordinates) == points_expected
# Start and end coordinates
np.testing.assert_almost_equal(coordinates[0].Tx.value, first_point[0])
np.testing.assert_almost_equal(coordinates[0].Ty.value, first_point[1])
np.testing.assert_almost_equal(coordinates[-1].Tx.value, last_point[0])
np.testing.assert_almost_equal(coordinates[-1].Ty.value, last_point[1])
# Inner angles method
# Inner angles
assert len(inner_angles) == points_expected
np.testing.assert_almost_equal(inner_angles[-1].value, last_inner_angle)
# Distances method
assert len(distances) == points_expected
np.testing.assert_almost_equal(distances[-1].value, last_distance)
fig = plt.figure()
ax = plt.subplot(projection=m)
m.plot(axes=ax)
ax.plot_coord(great_arc.coordinates(), color='c')
plt.show()
###############################################################################
# Now we can calculate the nearest integer pixels of the data that correspond
# to the location of arc.
pixels = np.asarray(np.rint(m.world_to_pixel(great_arc.coordinates())), dtype=int)
x = pixels[0, :]
y = pixels[1, :]
###############################################################################
# Get the intensity along the arc from the start to the end point.
intensity_along_arc = m.data[y, x]
###############################################################################
# Define the angular location of each pixel along the arc from the start point
# to the end.
angles = great_arc.inner_angles().to(u.deg)
###############################################################################
# Plot the intensity along the arc from the start to the end point.
fig, ax = plt.subplots()
ax.plot(angles, intensity_along_arc)
ax.set_xlabel('degrees of arc from start')
ax.set_ylabel('intensity')
ax.grid(linestyle='dotted')
plt.show()