diff --git a/autogalaxy/analysis/plotter_interface.py b/autogalaxy/analysis/plotter_interface.py index bc5646635..5d14a62ae 100644 --- a/autogalaxy/analysis/plotter_interface.py +++ b/autogalaxy/analysis/plotter_interface.py @@ -318,7 +318,7 @@ def should_plot(name): reconstructed_image=should_plot("reconstructed_image"), reconstruction=should_plot("reconstruction"), mesh_pixels_per_image_pixels=should_plot("mesh_pixels_per_image_pixels"), - errors=should_plot("errors"), + reconstruction_noise_map=should_plot("reconstruction_noise_map"), regularization_weights=should_plot("regularization_weights"), ) @@ -347,7 +347,7 @@ def should_plot(name): pixelization_index=0, reconstructed_image=True, reconstruction=True, - errors=True, + reconstruction_noise_map=True, regularization_weights=True, ) @@ -366,7 +366,7 @@ def should_plot(name): pixelization_index=0, reconstructed_image=True, reconstruction=True, - errors=True, + reconstruction_noise_map=True, regularization_weights=True, interpolate_to_uniform=True, ) diff --git a/autogalaxy/config/visualize/plots.yaml b/autogalaxy/config/visualize/plots.yaml index c46c62db0..8a0159600 100644 --- a/autogalaxy/config/visualize/plots.yaml +++ b/autogalaxy/config/visualize/plots.yaml @@ -55,9 +55,9 @@ inversion: # Settings for plots of inversions (e all_at_end_fits: true # Plot all individual plots listed below as .fits (even if False)? all_at_end_pdf: false # Plot all individual plots listed below as publication-quality .pdf (even if False)? data_subtracted: false # Plot individual plots of the data with the other inversion linear objects subtracted? - errors: false # Plot image of the errors of every mesh-pixel reconstructed value? - sub_pixels_per_image_pixels: false # Plot the number of sub pixels per masked data pixels? - mesh_pixels_per_image_pixels: false # Plot the number of image-plane mesh pixels per masked data pixels? + reconstruction_noise_map: false # Plot image of the noise of every mesh-pixel reconstructed value? + sub_pixels_per_image_pixels: false # Plot the number of sub pixels per masked data pixels? + mesh_pixels_per_image_pixels: false # Plot the number of image-plane mesh pixels per masked data pixels? reconstructed_image: false # Plot image of the reconstructed data (e.g. in the image-plane)? reconstruction: false # Plot the reconstructed inversion (e.g. the pixelization's mesh in the source-plane)? regularization_weights: false # Plot the effective regularization weight of every inversion mesh pixel? diff --git a/test_autogalaxy/analysis/test_plotter_interface.py b/test_autogalaxy/analysis/test_plotter_interface.py index fb461850b..003ca4b03 100644 --- a/test_autogalaxy/analysis/test_plotter_interface.py +++ b/test_autogalaxy/analysis/test_plotter_interface.py @@ -90,7 +90,10 @@ def test__inversion( assert path.join(plot_path, "reconstructed_image.png") in plot_patch.paths assert path.join(plot_path, "reconstruction.png") in plot_patch.paths - assert path.join(plot_path, "inversion", "errors.png") not in plot_patch.paths + assert ( + path.join(plot_path, "inversion", "reconstruction_noise_map.png") + not in plot_patch.paths + ) assert path.join(plot_path, "regularization_weights.png") not in plot_patch.paths diff --git a/test_autogalaxy/config/visualize.yaml b/test_autogalaxy/config/visualize.yaml index 50c40f0cb..7f74301d1 100644 --- a/test_autogalaxy/config/visualize.yaml +++ b/test_autogalaxy/config/visualize.yaml @@ -421,7 +421,7 @@ plots: inversion: all_at_end_png: false chi_squared_map: true - errors: false + reconstruction_noise_map: false interpolated_errors: true interpolated_reconstruction: true normalized_residual_map: false diff --git a/test_autogalaxy/plot/mat_wrap/config/visualize/plots.ini b/test_autogalaxy/plot/mat_wrap/config/visualize/plots.ini index 488f75893..ddf91ea9a 100644 --- a/test_autogalaxy/plot/mat_wrap/config/visualize/plots.ini +++ b/test_autogalaxy/plot/mat_wrap/config/visualize/plots.ini @@ -29,7 +29,7 @@ all_at_end_png=False subplot_inversion=True reconstructed_image=False reconstruction=False -errors=False +reconstruction_noise_map=False residual_map=False normalized_residual_map=False chi_squared_map=False