add small non zero numerical value to make grid radials plot correctly

Author: Jammy2211

autoarray/dataset/imaging/simulator.py

@@ -161,7 +161,7 @@ def via_image_from(
             image = image - background_sky_map
 
         mask = Mask2D.all_false(
-            shape_native=image.shape_native, pixel_scales=image.pixel_scales
+            shape_native=image.shape_native, pixel_scales=image.pixel_scales, origin=image.origin
         )
 
         image = Array2D(values=image, mask=mask)

autoarray/dataset/preprocess.py

@@ -521,7 +521,7 @@ def noise_map_with_signal_to_noise_limit_from(
     )
 
     mask = Mask2D.all_false(
-        shape_native=data.shape_native, pixel_scales=data.pixel_scales
+        shape_native=data.shape_native, pixel_scales=data.pixel_scales, origin=data.origin
     )
 
     if len(noise_map.native) == 1:

autoarray/structures/arrays/kernel_2d.py

@@ -475,7 +475,7 @@ def convolved_array_from(self, array: Array2D) -> Array2D:
         array_2d = array.native
 
         convolved_array_2d = scipy.signal.convolve2d(
-            array_2d._array, np.array(self.native._array), mode="same"
+            array_2d.array, np.array(self.native.array), mode="same"
         )
 
         convolved_array_1d = array_2d_util.array_2d_slim_from(

autoarray/structures/grids/uniform_1d.py

@@ -319,4 +319,4 @@ def grid_2d_radial_projected_from(self, angle: float = 0.0) -> Grid2DIrregular:
             grid_2d=grid, centre=(0.0, 0.0), angle=angle
         )
 
-        return Grid2DIrregular(values=grid)
+        return Grid2DIrregular(values=grid + 1e-6)

autoarray/structures/grids/uniform_2d.py

@@ -1000,7 +1000,7 @@ def grid_2d_radial_projected_from(
         if remove_projected_centre:
             grid_radial_projected_2d = grid_radial_projected_2d[1:, :]
 
-        return Grid2DIrregular(values=grid_radial_projected_2d)
+        return Grid2DIrregular(values=grid_radial_projected_2d + 1e-6)
 
     @property
     def shape_native_scaled_interior(self) -> Tuple[float, float]:
@@ -1098,6 +1098,7 @@ def padded_grid_from(self, kernel_shape_native: Tuple[int, int]) -> "Grid2D":
         padded_mask = Mask2D.all_false(
             shape_native=padded_shape,
             pixel_scales=self.mask.pixel_scales,
+            origin=self.origin
         )
 
         pad_width = (
@@ -1106,7 +1107,7 @@ def padded_grid_from(self, kernel_shape_native: Tuple[int, int]) -> "Grid2D":
         )
 
         over_sample_size = np.pad(
-            self.over_sample_size.native._array,
+            self.over_sample_size.native.array,
             pad_width,
             mode="constant",
             constant_values=1,