diff --git a/src/toolbox_scs/detectors/hrixs.py b/src/toolbox_scs/detectors/hrixs.py
index 3dabbdd73be14cec52e408c9d3a4c49ae501e72e..24f87bc7aad902187693b27e73a9971a8957f6f0 100644
--- a/src/toolbox_scs/detectors/hrixs.py
+++ b/src/toolbox_scs/detectors/hrixs.py
@@ -164,13 +164,6 @@ def to_fwhm(sigma):
     return abs(sigma * FWHM_COEFF)
 
 
-# -----------------------------------------------------------------------------
-# Centroid
-
-THRESHOLD = 510  # pixel counts above which a hit candidate is assumed
-CURVE_A = 2.19042931e-02  # curvature parameters as determined elsewhere
-CURVE_B = -3.02191568e-07
-
 def decentroid(res):
     res = np.array(res)
     ret = np.zeros(shape=(res.max(axis=0) + 1).astype(int))
@@ -180,14 +173,6 @@ def decentroid(res):
     return ret
 
 
-# -----------------------------------------------------------------------------
-# Integral
-
-FACTOR = 1
-RANGE = [300, 400]
-BINS = abs(np.subtract(*RANGE)) * FACTOR
-
-
 class hRIXS:
     """The hRIXS analysis, especially curvature correction
 
@@ -251,7 +236,6 @@ class hRIXS:
     CURVE_B = 0
 
     # integral
-    FACTOR = FACTOR
     BINS = 100
 
     METHOD = 'centroid'  # ['centroid', 'integral']
@@ -270,8 +254,7 @@ class hRIXS:
         if not params:
             params = ('proposal', 'x_range', 'y_range',
                       'threshold', 'curve_a', 'curve_b',
-                      'factor', 'range', 'bins',
-                      'method', 'fields')
+                      'bins', 'method', 'fields')
         return {param: getattr(self, param.upper()) for param in params}
 
     def from_run(self, runNB, proposal=None, extra_fields=()):
@@ -449,7 +432,7 @@ class hRIXS:
         margin = 10
         ret = np.zeros((len(data["hRIXS_det"]), bins - 2 * margin))
         if self.USE_DARK:
-            dark_image = self.dark_image[self.X_RANGE, self.Y_RANGE]
+            dark_image = self.dark_image.values[self.X_RANGE, self.Y_RANGE]
         images = data["hRIXS_det"].values[:, self.X_RANGE, self.Y_RANGE]
 
         x, y = np.ogrid[:images.shape[1], :images.shape[2]]
diff --git a/src/toolbox_scs/test/test_hrixs.py b/src/toolbox_scs/test/test_hrixs.py
index 7b75cdef6a103f53f033645b34f15fba979f8588..1b5957d0d572ad04091650b0f48fc812de5da84f 100644
--- a/src/toolbox_scs/test/test_hrixs.py
+++ b/src/toolbox_scs/test/test_hrixs.py
@@ -22,6 +22,12 @@ class TestHRIXS(unittest.TestCase):
                          28517.704705882363)
         self.assertEqual(data['spectrum'][1, 50].coords['energy'], 90)
 
+        h.dark_image = xa.DataArray(np.ones((100, 200)), dims=('x', 'y'))
+        h.USE_DARK = True
+        h.integrate(data)
+        self.assertEqual(data['spectrum'][1, 50].values[()],
+                         28516.704705882363)
+
     def test_centroid(self):
         data = xa.Dataset()
         img = np.array([
@@ -60,6 +66,12 @@ class TestHRIXS(unittest.TestCase):
             [0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
         ])
 
+    def test_getparam(self):
+        # this is just a smoke test
+        h = hRIXS()
+        d = h.get_params()
+        self.assertEqual(d['bins'], 100)
+
 
 if __name__ == "__main__":
     unittest.main()