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, )