Cammille Carinan · b64c9318 · 8b40f020
--- a/src/toolbox_scs/constants.py
+++ b/src/toolbox_scs/constants.py
    "M2BEND": ({'source': 'SA3_XTD10_MIRR-2/MOTOR/BENDER',
                'key': 'actualPosition.value',
                'dim': None},),
+    "hRIXS_det": ({'source': 'SCS_HRIXS_DET/CAM/CAMERA:daqOutput',
--- a/src/toolbox_scs/detectors/hrixs.py
+++ b/src/toolbox_scs/detectors/hrixs.py
+
+    @property
+    def corrected(self):
+        return decentroid(self._centroid)
+
+    def spectrum(self, normalize=True):
+        spec_func = (self._centroid_spectrum if self.METHOD.lower() == 'centroid'
+                     else self._integral_spectrum)
+        return spec_func(normalize=normalize)
+
+    def __sub__(self, other):
+        px, py = self.spectrum()
+        mx, my = other.spectrum()
+        return (px + mx) / 2, py - my
+
+    def __add__(self, other):
--- a/src/toolbox_scs/detectors/hrixs.py
+++ b/src/toolbox_scs/detectors/hrixs.py
-        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])]