Fix scaling reflectivity leading to stacking of scaling factors due to norm.monitor being numpy scalar and not float

eos/normalization.py

@@ -25,7 +25,7 @@ class LZNormalisation:
         self.angle = reference.geometry.nu-reference.geometry.mu
         lamda_e = reference.data.events.lamda
         detZ_e = reference.data.events.detZ
-        self.monitor = np.sum(reference.data.pulses.monitor)
+        self.monitor = float(np.sum(reference.data.pulses.monitor))
         norm_lz, _, _ = np.histogram2d(lamda_e, detZ_e, bins=(grid.lamda(), grid.z()))
         if normalisationMethod==NormalisationMethod.direct_beam:
             self.norm = np.flip(norm_lz, 1)
@@ -52,7 +52,7 @@ class LZNormalisation:
             self.file_list = np.load(fh, allow_pickle=True).tolist()
             self.angle = np.load(fh, allow_pickle=True)
             self.norm = np.load(fh, allow_pickle=True)
-            self.monitor = np.load(fh, allow_pickle=True)
+            self.monitor = float(np.load(fh, allow_pickle=True))
         if check_hash is not None and hash != check_hash:
             logging.info('    file hash does not match this reduction configuration')
             raise ValueError('file hash does not match this reduction configuration')