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6 changes: 3 additions & 3 deletions autolens/aggregator/subplot.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@ class FITSFit(Enum):
The HDUs that can be extracted from the fit.fits file.
"""

model_image = "MODEL_IMAGE"
model_data = "MODEL_DATA"
residual_map = "RESIDUAL_MAP"
normalized_residual_map = "NORMALIZED_RESIDUAL_MAP"
chi_squared_map = "CHI_SQUARED_MAP"
Expand Down Expand Up @@ -68,7 +68,7 @@ class SubplotFit(Enum):
data = (0, 0)
data_source_scale = (1, 0)
signal_to_noise_map = (2, 0)
model_image = (3, 0)
model_data = (3, 0)
lens_light_model = (1, 0)
lens_light_subtracted_image = (1, 1)
source_model_image = (1, 2)
Expand All @@ -89,7 +89,7 @@ class SubplotFitLog10(Enum):
data = (0, 0)
data_source_scale = (1, 0)
signal_to_noise_map = (2, 0)
model_image = (3, 0)
model_data = (3, 0)
lens_light_model = (1, 0)
lens_light_subtracted_image = (1, 1)
source_model_image = (1, 2)
Expand Down
3 changes: 2 additions & 1 deletion autolens/config/visualize/plots.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,7 @@
# These can be disabled to save on hard-disk space but will lead to certain database functionality being disabled.

subplot_format: [png] # Output format of all subplots, can be png, pdf or both (e.g. [png, pdf])
fits_are_zoomed: true # If true, output .fits files are zoomed in on the center of the unmasked region image, saving hard-disk space.

dataset: # Settings for plots of all datasets (e.g. ImagingPlotter, InterferometerPlotter).
subplot_dataset: true # Plot subplot containing all dataset quantities (e.g. the data, noise-map, etc.)?
Expand All @@ -37,7 +38,7 @@ tracer: # Settings for plots of tracers (e.g.
inversion: # Settings for plots of inversions (e.g. InversionPlotter).
subplot_inversion: true # Plot subplot of all quantities in each inversion (e.g. reconstrucuted image, reconstruction)?
subplot_mappings: true # Plot subplot of the image-to-source pixels mappings of each pixelization?
fits_reconstruction: false # output reconstruction.fits containing the reconstructed pixelization and noise map on the adaptive mesh?
csv_reconstruction: false # output reconstruction.csv containing the source-plane mesh y, x, reconstruction and noise map values.

adapt: # Settings for plots of adapt images used by adaptive pixelizations.
subplot_adapt_images: true # Plot subplot showing each adapt image used for adaptive pixelization?
Expand Down
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