Create new class on addition by aggregating list of image views

src/toolbox_scs/detectors/hrixs.py

@@ -367,11 +367,21 @@ class hRIXS:
         return (px + mx) / 2, py - my
 
     def __add__(self, other):
-        ix, iy = self.spectrum(normalize=False)
-        jx, jy = other.spectrum(normalize=False)
+        images = split_images(self.images) + split_images(other.images)
+        return self.__class__(images=images,
+                              norm=self.norm + other.norm)
 
-        i_n = self.norm or 0
-        j_n = other.norm or 0
-        norm = ((i_n + j_n) or 1)
 
-        return ix, (iy + jy) / norm
+def split_images(images):
+    """ Split the images by the number of trains
+        and return the list of their views. """
+
+    # Check if the images has already been splitted
+    if isinstance(images, list):
+        return images
+
+    # Check if the images is a numpy of of 2d image that follows
+    # the shape (num, y_dim, x_dim)
+    assert len(images.shape) == 3
+
+    return [np.squeeze(image) for image in np.vsplit(images, images.shape[0])]