def test__transformed_mapping_matrix__preload_and_non_preload_give_same_answer(
self, ):
uv_wavelengths = np.array([[0.2, 1.0], [0.5, 1.1], [0.8, 1.2]])
grid_radians = aa.Grid2D.manual_native(grid=[[[0.1, 0.2], [0.3, 0.4]]],
pixel_scales=1.0)
real_space_mask = MockRealSpaceMask(grid=grid_radians)
transformer_preload = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=True,
)
transformer = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=False,
)
mapping_matrix = np.array([[3.0, 5.0], [1.0, 2.0]])
transformed_mapping_matrix_preload = transformer_preload.transformed_mapping_matrix_from_mapping_matrix(
mapping_matrix=mapping_matrix)
transformed_mapping_matrix = transformer.transformed_mapping_matrix_from_mapping_matrix(
mapping_matrix=mapping_matrix)
assert (transformed_mapping_matrix_preload ==
transformed_mapping_matrix).all()
def test__visibilities__preload_and_non_preload_give_same_answer(self):
uv_wavelengths = np.array([[0.2, 1.0], [0.5, 1.1], [0.8, 1.2]])
grid_radians = aa.Grid2D.manual_native(grid=[[[0.1, 0.2], [0.3, 0.4]]],
pixel_scales=1.0)
real_space_mask = MockRealSpaceMask(grid=grid_radians)
transformer_preload = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=True,
)
transformer = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=False,
)
image = aa.Array2D.manual_native([[2.0, 6.0]], pixel_scales=1.0)
visibilities_via_preload = transformer_preload.visibilities_from_image(
image=image)
visibilities = transformer.visibilities_from_image(image=image)
assert (visibilities_via_preload == visibilities).all()
def test__visibilities_from_image__same_as_direct__include_numerics(self):
uv_wavelengths = np.array([[0.2, 1.0], [0.5, 1.1], [0.8, 1.2]])
grid_radians = aa.Grid2D.uniform(shape_native=(5, 5),
pixel_scales=0.005).in_radians
real_space_mask = MockRealSpaceMask(grid=grid_radians)
image = aa.Array2D.ones(
shape_native=grid_radians.shape_native,
pixel_scales=grid_radians.pixel_scales,
)
transformer_dft = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=False,
)
visibilities_dft = transformer_dft.visibilities_from_image(
image=image.native)
real_space_mask = aa.Mask2D.unmasked(shape_native=(5, 5),
pixel_scales=0.005)
transformer_nufft = aa.TransformerNUFFT(
uv_wavelengths=uv_wavelengths, real_space_mask=real_space_mask)
visibilities_nufft = transformer_nufft.visibilities_from_image(
image=image.native)
assert visibilities_dft == pytest.approx(visibilities_nufft, 2.0)
assert visibilities_nufft[0] == pytest.approx(25.02317617953263 + 0.0j,
1.0e-7)
def test__visibilities__intensity_image_all_ones__simple_cases(self):
uv_wavelengths = np.ones(shape=(4, 2))
grid_radians = aa.Grid2D.manual_native(grid=[[[1.0, 1.0]]],
pixel_scales=1.0)
real_space_mask = MockRealSpaceMask(grid=grid_radians)
transformer = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=False,
)
image = aa.Array2D.ones(shape_native=(1, 1), pixel_scales=1.0)
visibilities = transformer.visibilities_from_image(image=image)
assert visibilities == pytest.approx(
np.array([1.0 + 0.0j, 1.0 + 0.0j, 1.0 + 0.0j, 1.0 + 0.0j]), 1.0e-4)
uv_wavelengths = np.array([[0.2, 1.0], [0.5, 1.1], [0.8, 1.2]])
grid_radians = aa.Grid2D.manual_native(grid=[[[0.1, 0.2], [0.3, 0.4]]],
pixel_scales=1.0)
real_space_mask = MockRealSpaceMask(grid=grid_radians)
transformer = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=False,
)
image = aa.Array2D.ones(shape_native=(1, 2), pixel_scales=1.0)
visibilities = transformer.visibilities_from_image(image=image)
assert visibilities == pytest.approx(
np.array([
-0.091544 - 1.45506j, -0.73359736 - 0.781201j,
-0.613160 - 0.077460j
]),
1.0e-4,
)
def test__visibilities__intensity_image_varies__simple_cases(self):
uv_wavelengths = np.ones(shape=(4, 2))
grid_radians = aa.Grid2D.manual_native(grid=[[[1.0, 1.0]]],
pixel_scales=1.0)
real_space_mask = MockRealSpaceMask(grid=grid_radians)
transformer = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=False,
)
image = aa.Array2D.manual_native([[2.0]], pixel_scales=1.0)
visibilities = transformer.visibilities_from_image(image=image)
assert visibilities == pytest.approx(
np.array([2.0 + 0.0j, 2.0 + 0.0j, 2.0 + 0.0j, 2.0 + 0.0j]), 1.0e-4)
uv_wavelengths = np.array([[0.2, 1.0], [0.5, 1.1], [0.8, 1.2]])
grid_radians = aa.Grid2D.manual_native(grid=[[[0.1, 0.2], [0.3, 0.4]]],
pixel_scales=1.0)
real_space_mask = MockRealSpaceMask(grid=grid_radians)
transformer = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=False,
)
image = aa.Array2D.manual_native([[3.0, 6.0]], pixel_scales=1.0)
visibilities = transformer.visibilities_from_image(image=image)
assert visibilities == pytest.approx(
np.array([
-2.46153 - 6.418822j, -5.14765 - 1.78146j, -3.11681 + 2.48210j
]),
1.0e-4,
)
def test__visibilities__more_complex_mapping_matrix(self):
grid_radians = aa.Grid2D.manual_native(
[[[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]]], pixel_scales=1.0)
real_space_mask = MockRealSpaceMask(grid=grid_radians)
uv_wavelengths = np.array([[0.7, 0.8], [0.9, 1.0]])
transformer = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=False,
)
mapping_matrix = np.array([[1.0], [0.0], [0.0]])
transformed_mapping_matrix = transformer.transformed_mapping_matrix_from_mapping_matrix(
mapping_matrix=mapping_matrix)
assert transformed_mapping_matrix == pytest.approx(
np.array([[0.18738 - 0.982287j], [-0.18738 - 0.982287j]]), 1.0e-4)
mapping_matrix = np.array([[0.0], [1.0], [0.0]])
transformed_mapping_matrix = transformer.transformed_mapping_matrix_from_mapping_matrix(
mapping_matrix=mapping_matrix)
assert transformed_mapping_matrix == pytest.approx(
np.array([[-0.992111 + 0.12533j], [-0.53582 + 0.84432j]]), 1.0e-4)
mapping_matrix = np.array([[0.0, 0.5], [0.0, 0.2], [1.0, 0.0]])
transformed_mapping_matrix = transformer.transformed_mapping_matrix_from_mapping_matrix(
mapping_matrix=mapping_matrix)
assert transformed_mapping_matrix == pytest.approx(
np.array([
[0.42577 + 0.90482j, -0.10473 - 0.46607j],
[0.968583 - 0.24868j, -0.20085 - 0.32227j],
]),
1.0e-4,
)
def test__mapping_matix_from_visibilities__same_as_direct__include_numerics(
self):
uv_wavelengths = np.array([[0.2, 1.0], [0.5, 1.1], [0.8, 1.2]])
grid_radians = aa.Grid2D.uniform(shape_native=(5, 5),
pixel_scales=0.005)
real_space_mask = MockRealSpaceMask(grid=grid_radians)
mapping_matrix = np.ones(shape=(25, 3))
transformer_dft = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=False,
)
transformed_mapping_matrix_dft = transformer_dft.transformed_mapping_matrix_from_mapping_matrix(
mapping_matrix=mapping_matrix)
real_space_mask = aa.Mask2D.unmasked(shape_native=(5, 5),
pixel_scales=0.005)
transformer_nufft = aa.TransformerNUFFT(
uv_wavelengths=uv_wavelengths, real_space_mask=real_space_mask)
transformed_mapping_matrix_nufft = transformer_nufft.transformed_mapping_matrix_from_mapping_matrix(
mapping_matrix=mapping_matrix)
assert transformed_mapping_matrix_dft == pytest.approx(
transformed_mapping_matrix_nufft, 2.0)
assert transformed_mapping_matrix_dft == pytest.approx(
transformed_mapping_matrix_nufft, 2.0)
assert transformed_mapping_matrix_nufft[0, 0] == pytest.approx(
25.02317 + 0.0j, 1.0e-4)
def test__visibilities__mapping_matrix_all_ones__simple_cases(self):
uv_wavelengths = np.ones(shape=(4, 2))
grid_radians = aa.Grid2D.manual_native(grid=[[[1.0, 1.0]]],
pixel_scales=1.0)
real_space_mask = MockRealSpaceMask(grid=grid_radians)
transformer = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=False,
)
mapping_matrix = np.ones(shape=(1, 1))
transformed_mapping_matrix = transformer.transformed_mapping_matrix_from_mapping_matrix(
mapping_matrix=mapping_matrix)
assert transformed_mapping_matrix == pytest.approx(
np.array([[1.0 + 0.0j], [1.0 + 0.0j], [1.0 + 0.0j], [1.0 + 0.0j]]),
1.0e-4)
uv_wavelengths = np.array([[0.2, 1.0], [0.5, 1.1], [0.8, 1.2]])
grid_radians = aa.Grid2D.manual_native(grid=[[[0.1, 0.2], [0.3, 0.4]]],
pixel_scales=1.0)
real_space_mask = MockRealSpaceMask(grid=grid_radians)
transformer = aa.TransformerDFT(
uv_wavelengths=uv_wavelengths,
real_space_mask=real_space_mask,
preload_transform=False,
)
mapping_matrix = np.ones(shape=(2, 1))
transformed_mapping_matrix = transformer.transformed_mapping_matrix_from_mapping_matrix(
mapping_matrix=mapping_matrix)
assert transformed_mapping_matrix == pytest.approx(
np.array([
[-0.091544 - 1.455060j],
[-0.733597 - 0.78120j],
[-0.613160 - 0.07746j],
]),
1.0e-4,
)
mapping_matrix = np.ones(shape=(2, 2))
transformed_mapping_matrix = transformer.transformed_mapping_matrix_from_mapping_matrix(
mapping_matrix=mapping_matrix)
assert transformed_mapping_matrix == pytest.approx(
np.array([
[-0.091544 - 1.45506j, -0.091544 - 1.45506j],
[-0.733597 - 0.78120j, -0.733597 - 0.78120j],
[-0.61316 - 0.07746j, -0.61316 - 0.07746j],
]),
1.0e-4,
)
