Index A | B | C | D | E | F | G | H | I | L | M | N | O | P | R | S | T | U | V A add_mask() (mpol.datasets.GriddedDataset method) B BaseCube (class in mpol.images) broadcast_and_convert_baselines() (in module mpol.utils) build_grid_mask_from_cells() (mpol.datasets.Dartboard method) C check_baselines() (in module mpol.utils) check_data_fit() (mpol.coordinates.GridCoords method) chi_squared() (in module mpol.losses) chi_squared_gridded() (in module mpol.losses) convert_baselines() (in module mpol.utils) crossval_diagnostics_fig() (in module mpol.plot) CrossValidate (class in mpol.crossval) D Dartboard (class in mpol.datasets) DartboardSplitGridded (class in mpol.crossval) DataAverager (class in mpol.gridding) diagnostics (mpol.crossval.CrossValidate property) DirtyImager (class in mpol.gridding) E edge_clamp() (in module mpol.losses) entropy() (in module mpol.losses) F fftspace() (in module mpol.utils) flat_to_observer() (in module mpol.geometry) flux (mpol.images.ImageCube property) forward() (mpol.datasets.GriddedDataset method) (mpol.fourier.FourierCube method) (mpol.fourier.NuFFT method) (mpol.fourier.NuFFTCached method) (mpol.images.BaseCube method) (mpol.images.HannConvCube method) (mpol.images.ImageCube method) (mpol.precomposed.SimpleNet method) fourier_gaussian_klambda_arcsec() (in module mpol.utils) fourier_gaussian_lambda_radians() (in module mpol.utils) FourierCube (class in mpol.fourier) from_dartboard_properties() (mpol.crossval.DartboardSplitGridded class method) from_image_properties() (mpol.datasets.Dartboard class method) (mpol.datasets.GriddedDataset class method) (mpol.fourier.FourierCube class method) (mpol.fourier.NuFFT class method) (mpol.fourier.NuFFTCached class method) G get_dirty_beam_area() (mpol.gridding.DirtyImager method) get_dirty_image() (mpol.gridding.DirtyImager method) get_image_cmap_norm() (in module mpol.plot) get_Jy_arcsec2() (in module mpol.utils) get_max_spatial_freq() (in module mpol.utils) get_maximum_cell_size() (in module mpol.utils) get_nonzero_cell_indices() (mpol.datasets.Dartboard method) get_optimal_image_properties() (in module mpol.utils) get_polar_histogram() (mpol.datasets.Dartboard method) get_residual_image() (in module mpol.plot) get_vis_residuals() (in module mpol.fourier) GridCoords (class in mpol.coordinates) GriddedDataset (class in mpol.datasets) GridderBase (class in mpol.gridding) ground_amp (mpol.fourier.FourierCube property) ground_cube (mpol.gridding.GridderBase property) ground_cube_to_packed_cube() (in module mpol.utils) ground_mask (mpol.datasets.GriddedDataset property) ground_phase (mpol.fourier.FourierCube property) ground_vis (mpol.fourier.FourierCube property) H HannConvCube (class in mpol.images) I image_comparison_fig() (in module mpol.plot) ImageCube (class in mpol.images) L log_likelihood() (in module mpol.losses) log_likelihood_gridded() (in module mpol.losses) log_stretch() (in module mpol.utils) loglinspace() (in module mpol.utils) loss_convergence() (mpol.training.TrainTest method) loss_eval() (mpol.training.TrainTest method) loss_lambda_guess() (mpol.training.TrainTest method) M make_fake_data() (in module mpol.fourier) model (mpol.crossval.CrossValidate property) module mpol.coordinates mpol.crossval mpol.datasets mpol.fourier mpol.geometry mpol.gridding mpol.images mpol.losses mpol.onedim mpol.plot mpol.precomposed mpol.training mpol.utils mpol.coordinates module mpol.crossval module mpol.datasets module mpol.fourier module mpol.geometry module mpol.gridding module mpol.images module mpol.losses module mpol.onedim module mpol.plot module mpol.precomposed module mpol.training module mpol.utils module N nll() (in module mpol.losses) nll_gridded() (in module mpol.losses) NuFFT (class in mpol.fourier) NuFFTCached (class in mpol.fourier) O observer_to_flat() (in module mpol.geometry) P packed_cube_to_ground_cube() (in module mpol.utils) packed_cube_to_sky_cube() (in module mpol.utils) plot_image() (in module mpol.plot) PSD() (in module mpol.losses) R radial_fig() (in module mpol.plot) radialI() (in module mpol.onedim) radialV() (in module mpol.onedim) RandomCellSplitGridded (class in mpol.crossval) regularizers (mpol.crossval.CrossValidate property) (mpol.training.TrainTest property) run_crossval() (mpol.crossval.CrossValidate method) S safe_baseline_constant_kilolambda() (in module mpol.fourier) safe_baseline_constant_meters() (in module mpol.fourier) score (mpol.crossval.CrossValidate property) SimpleNet (class in mpol.precomposed) sky_cube (mpol.images.ImageCube property) sky_cube_to_packed_cube() (in module mpol.utils) sky_gaussian_arcsec() (in module mpol.utils) sky_gaussian_radians() (in module mpol.utils) sparsity() (in module mpol.losses) split_dataset() (mpol.crossval.CrossValidate method) split_diagnostics_fig() (in module mpol.plot) split_figure (mpol.crossval.CrossValidate property) split_method (mpol.crossval.CrossValidate property) T test() (mpol.training.TrainTest method) to_FITS() (mpol.images.ImageCube method) to_pytorch_dataset() (mpol.gridding.DataAverager method) torch2npy() (in module mpol.utils) train() (mpol.training.TrainTest method) train_diagnostics_fig() (in module mpol.plot) train_figure (mpol.crossval.CrossValidate property) (mpol.training.TrainTest property) train_to_dirty_image() (in module mpol.training) TrainTest (class in mpol.training) TSV() (in module mpol.losses) TV_channel() (in module mpol.losses) TV_image() (in module mpol.losses) U UV_sparsity() (in module mpol.losses) V verify_no_hermitian_pairs() (in module mpol.gridding) vis_1d_fig() (in module mpol.plot) vis_histogram_fig() (in module mpol.plot)