def testQuantityAsArgument(self):
pr = Cn2Profile.from_r0s([100 * u.mm, 0.2 * u.m],
np.array([30, 50]) * u.m,
[0.1 * u.km, 10000 * u.m],
[10, 10] * u.m / u.s, [0.3, 45] * u.deg)
assert_quantity_allclose([100, 10000] * u.m, pr.layers_distance())
assert_quantity_allclose([0.1, 0.2] * u.m, pr.r0s())
def testSingleLayer(self):
pr = Cn2Profile.from_r0s([0.1], [30], [100], [10], [0.3])
self.assertAlmostEqual([100], pr.layers_distance().value)
self.assertAlmostEqual(0.1, pr.r0().value)
pr = Cn2Profile.from_fractional_j(0.12, [1.0], [30], [100], [10],
[0.3])
self.assertAlmostEqual(0.12, pr.r0().value)
def testZernikeCPSDvsZernikeGeneralCPSD(self):
cn2 = Cn2Profile.from_r0s([0.16, 3.14], [25, 12], [10e3, 200], [10, 8],
[-20, 23])
rho, theta = (0, 0)
source = GuideSource((rho, theta), np.inf)
radius = 5
center = [0, 0, 0]
aperture = CircularOpticalAperture(radius, center)
spatial_freqs = np.logspace(-3, 3, 100)
temporal_freqs = np.logspace(-4, 4, 100)
j = [2, 3]
k = [2, 3, 4]
vk = VonKarmanSpatioTemporalCovariance(source, source, aperture,
aperture, cn2, spatial_freqs)
cpsd = vk.getZernikeCPSD(j, k, temporal_freqs)
cov_from_cpsd = np.trapz(2 * np.real(cpsd), temporal_freqs).value
general_cpsd = vk.getGeneralZernikeCPSD(j, k, temporal_freqs)
cov_from_general_cpsd = np.trapz(general_cpsd, temporal_freqs).value
np.testing.assert_allclose(cov_from_cpsd,
cov_from_general_cpsd,
atol=1e-14)
def testZernikeCPSD(self):
cn2 = Cn2Profile.from_r0s([0.16], [25], [10e3], [10], [-20])
rho1, theta1 = (0, 0)
rho2, theta2 = (50, 30)
source1 = GuideSource((rho1, theta1), np.inf)
source2 = GuideSource((rho2, theta2), 100e3)
radius = 5
center = [0, 0, 0]
aperture = CircularOpticalAperture(radius, center)
spatial_freqs = np.logspace(-3, 3, 100)
modoJ = 2
modoK = 5
temp_freqs = [0.05, 130, 250]
vk_cov = VonKarmanSpatioTemporalCovariance(source1, source2, aperture,
aperture, cn2,
spatial_freqs)
got = vk_cov.getZernikeCPSD(modoJ, modoK, temp_freqs)
want = np.array([
-2.753219e+00 + 1.446667e+00j, 5.859243e-13 - 6.117817e-13j,
-4.741206e-15 + 4.089497e-15j
])
np.testing.assert_allclose(want, got.value, rtol=1e-3)
self.assertEqual(got.unit, u.rad**2 / u.Hz)
def testIntegrationOfZernikeCPSDWithZernikeCovariance(self):
cn2 = Cn2Profile.from_r0s([0.16], [25], [10e3], [10], [-20])
rho, theta = (0, 0)
source = GuideSource((rho, theta), np.inf)
radius = 5
center = [0, 0, 0]
aperture = CircularOpticalAperture(radius, center)
spatial_freqs = np.logspace(-4, 4, 100)
temporal_freqs = np.logspace(-3, 3, 100)
j = [2, 3]
k = [2, 3]
vkCov = VonKarmanSpatioTemporalCovariance(source, source, aperture,
aperture, cn2, spatial_freqs)
vkCpsd = VonKarmanSpatioTemporalCovariance(source, source, aperture,
aperture, cn2,
spatial_freqs)
cpsdMatrix = 2 * np.real(
vkCpsd.getZernikeCPSD(j, k, temporal_freqs).value)
covarianceMatrix = vkCov.getZernikeCovariance(j, k).value
covFromCPSD = np.trapz(cpsdMatrix, temporal_freqs)
np.testing.assert_allclose(covFromCPSD,
covarianceMatrix,
rtol=0.01,
atol=1e-3)
def testSetAndGetAirmassAndZenithAngle(self):
pr = Cn2Profile.from_r0s([0.1], [30], [100], [10], [0.3])
pr.set_zenith_angle(0)
self.assertAlmostEqual(0, pr.zenith_angle().value)
self.assertAlmostEqual(1, pr.airmass().value)
pr.set_zenith_angle(60)
self.assertAlmostEqual(60, pr.zenith_angle().value)
self.assertAlmostEqual(2, pr.airmass().value)
def testSeeingAndR0ScaleWithWavelengths(self):
pr = Cn2Profile.from_r0s([0.1], [30], [100], [10], [0.3])
pr.set_wavelength(500e-9)
r0At500 = 0.1
seeingAt500 = 0.98 * 500e-9 / r0At500 * Constants.RAD2ARCSEC
self.assertAlmostEqual(r0At500, pr.r0().value)
self.assertAlmostEqual(seeingAt500, pr.seeing().value)
pr.set_wavelength(2200e-9)
self.assertAlmostEqual(r0At500 * (2200 / 500)**(6. / 5), pr.r0().value)
self.assertAlmostEqual(seeingAt500 * (2200 / 500)**(-1. / 5),
pr.seeing().value)
def testSameOutputWithOrWithoutQuantityAsInput(self):
prWithQuantity = Cn2Profile.from_r0s([0.1] * u.m, [25] * u.m,
[10000] * u.m, [10] * u.m / u.s,
[0.3] * u.deg)
prWithoutQuantity = Cn2Profile.from_r0s([0.1], [25], [10000], [10],
[0.3])
assert_quantity_allclose(prWithQuantity.r0(), prWithoutQuantity.r0())
assert_quantity_allclose(prWithQuantity.outer_scale(),
prWithoutQuantity.outer_scale())
assert_quantity_allclose(prWithQuantity.layers_distance(),
prWithoutQuantity.layers_distance())
assert_quantity_allclose(prWithQuantity.wind_speed(),
prWithoutQuantity.wind_speed())
assert_quantity_allclose(prWithQuantity.wind_direction(),
prWithoutQuantity.wind_direction())
assert_quantity_allclose(prWithQuantity.theta0(),
prWithoutQuantity.theta0())
assert_quantity_allclose(prWithQuantity.tau0(),
prWithoutQuantity.tau0())
assert_quantity_allclose(prWithQuantity.seeing(),
prWithoutQuantity.seeing())
assert_quantity_allclose(prWithQuantity.zenith_angle(),
prWithoutQuantity.zenith_angle())
def testIntegrationOfPhaseCPSDWithPhaseCovariance(self):
cn2 = Cn2Profile.from_r0s([0.16], [25], [10e3], [10], [-20])
rho, theta = (0, 0)
source = GuideSource((rho, theta), np.inf)
radius = 5
center = [0, 0, 0]
aperture = CircularOpticalAperture(radius, center)
spatial_freqs = np.logspace(-3, 3, 100)
temporal_freqs = np.logspace(-4, 4, 100)
vk = VonKarmanSpatioTemporalCovariance(source, source, aperture,
aperture, cn2, spatial_freqs)
phaseCov = vk.getPhaseCovariance().value
phaseCPSD = vk.getPhaseCPSD(temporal_freqs).value
phaseCovFromCPSD = np.trapz(2 * np.real(phaseCPSD), temporal_freqs)
np.testing.assert_allclose(phaseCovFromCPSD, phaseCov, rtol=0.01)
def testPhaseCPSDvsPhaseGeneralCPSD(self):
cn2 = Cn2Profile.from_r0s([0.16, 3.14], [25, 12], [10e3, 200], [10, 8],
[-20, 90])
rho, theta = (0, 0)
source = GuideSource((rho, theta), np.inf)
radius = 20
center = [0, 0, 0]
aperture = CircularOpticalAperture(radius, center)
spatial_freqs = np.logspace(-3, 3, 100)
temporal_freqs = np.logspace(-3, 3, 100)
vk = VonKarmanSpatioTemporalCovariance(source, source, aperture,
aperture, cn2, spatial_freqs)
cpsd = vk.getPhaseCPSD(temporal_freqs)
general_cpsd = vk.getGeneralPhaseCPSD(temporal_freqs)
np.testing.assert_allclose(2 * cpsd.real, general_cpsd, atol=1e-14)
def testZernikeCPSDMatrixShape(self):
cn2 = Cn2Profile.from_r0s([0.16], [25], [10e3], [10], [-20])
rho, theta = (0, 0)
source = GuideSource((rho, theta), np.inf)
radius = 5
center = [0, 0, 0]
aperture = CircularOpticalAperture(radius, center)
spatial_freqs = np.logspace(-3, 3, 100)
temporal_freqs = np.logspace(-4, 4, 100)
j = [2]
k = [2, 3]
vk = VonKarmanSpatioTemporalCovariance(source, source, aperture,
aperture, cn2, spatial_freqs)
cpsdMatrix = vk.getZernikeCPSD(j, k, temporal_freqs).value
self.assertTrue(cpsdMatrix.shape == (len(j), len(k),
temporal_freqs.shape[0]))
def testPhaseCPSDOnGPU(self):
cn2 = Cn2Profile.from_r0s([0.16, 3.14], [25, 12], [10e3, 200], [10, 8],
[-20, 23])
rho, theta = (0, 0)
source = GuideSource((rho, theta), np.inf)
radius = 5
center = [0, 0, 0]
aperture = CircularOpticalAperture(radius, center)
spatial_freqs = np.logspace(-3, 3, 100)
temporal_freqs = np.logspace(-4, 4, 100)
vk_np = VonKarmanSpatioTemporalCovariance(source, source, aperture,
aperture, cn2, spatial_freqs)
cpsd_np = vk_np.getPhaseCPSD(temporal_freqs)
vk_cp = VonKarmanSpatioTemporalCovariance(source, source, aperture,
aperture, cn2, spatial_freqs)
vk_cp.useGPU()
cpsd_cp = vk_cp.getPhaseCPSD(temporal_freqs)
np.testing.assert_allclose(cpsd_np, cpsd_cp, atol=1e-14)
def testModifySourceAndAperture(self):
cn2 = Cn2Profile.from_r0s([0.16, 3.14], [25, 12], [10e3, 200], [10, 8],
[-20, 23])
source1 = GuideSource((20, 0), np.inf)
source2 = GuideSource((42, 0), np.inf)
aperture1 = CircularOpticalAperture(5, [0, 0, 0])
aperture2 = CircularOpticalAperture(5, [1, 0, 0])
spatial_freqs = np.logspace(-3, 3, 10)
temporal_freqs = np.logspace(-4, 4, 11)
j = [2, 3]
k = [2, 4]
vk = VonKarmanSpatioTemporalCovariance(source1, source1, aperture1,
aperture1, cn2, spatial_freqs)
cpsd1 = vk.getGeneralZernikeCPSD(j, k, temporal_freqs).value
vk.setSource1(source2)
vk.setAperture2(aperture2)
cpsd2 = vk.getGeneralZernikeCPSD(j, k, temporal_freqs).value
self.assertFalse(np.allclose(cpsd1, cpsd2, atol=1e-14))
def testPhaseCPSD(self):
cn2 = Cn2Profile.from_r0s([0.16], [25], [10e3], [10], [-20])
rho1, theta1 = (0, 0)
rho2, theta2 = (50, 30)
source1 = GuideSource((rho1, theta1), np.inf)
source2 = GuideSource((rho2, theta2), 100e3)
radius = 5
center = [0, 0, 0]
aperture = CircularOpticalAperture(radius, center)
spatial_freqs = np.logspace(-3, 3, 1000)
vk_cov = VonKarmanSpatioTemporalCovariance(source1, source2, aperture,
aperture, cn2,
spatial_freqs)
temp_freqs = [0.05, 130, 250]
got = vk_cov.getPhaseCPSD(temp_freqs).value
want = np.array([
5.532213e+01 + 2.710243e+00j, 7.927701e-12 - 2.069043e-10j,
-1.142719e-10 + 3.395629e-11j
])
np.testing.assert_allclose(want, got, rtol=1e-3)
def testSetAndGetWindSpeedAndDirection(self):
pr = Cn2Profile.from_r0s([0.1], [30], [100], [10], [0.3])
pr.set_wind_speed(50)
self.assertAlmostEqual(50, pr.wind_speed().value)
pr.set_wind_direction(90)
self.assertAlmostEqual(90, pr.wind_direction().value)
def testScalarAsArguments(self):
pr = Cn2Profile.from_r0s(0.1, 30, 100, 10, 0.3)
self.assertAlmostEqual(100, pr.layers_distance().value)
self.assertAlmostEqual(0.1, pr.r0().value)
pr = Cn2Profile.from_fractional_j(0.12, 1.0, 30, 100, 10, 0.3)
self.assertAlmostEqual(0.12, pr.r0().value)