diff --git a/pylot/core/pick/autopick.py b/pylot/core/pick/autopick.py
index 9a8c7bc7..965567cc 100644
--- a/pylot/core/pick/autopick.py
+++ b/pylot/core/pick/autopick.py
@@ -992,7 +992,7 @@ class AutopickStation(object):
 
         # calculate initial CF based on autoregression
         if self.s_params.algoS == 'ARH':
-            arhcf1 = ARHcf(h_copy, cuttimesh, self.s_params.tpred1h, self.s_params.Sarorder, self.s_params.tdet1h, self.p_params.addnoise)
+            arhcf1 = ARHcf(h_copy, cuttimesh, self.s_params.tdet1h, self.s_params.tpred1h, self.pickparams)
         elif self.s_params.algoS == 'AR3':
             arhcf1 = AR3Ccf(h_copy, cuttimesh, self.s_params.tpred1h, self.s_params.Sarorder, self.s_params.tdet1h, self.p_params.addnoise)
         return arhcf1
@@ -1053,7 +1053,7 @@ class AutopickStation(object):
 
         # calculate second cf
         if self.s_params.algoS == 'ARH':
-            arhcf2 = ARHcf(h_copy, cuttimesh2, self.s_params.tpred2h, self.s_params.Sarorder, self.s_params.tdet2h, self.p_params.addnoise)
+            arhcf2 = ARHcf(h_copy, cuttimesh2, self.s_params.tdet2h, self.s_params.tpred2h, self.pickparams)
         elif self.s_params.algoS == 'AR3':
             arhcf2 = AR3Ccf(h_copy, cuttimesh2, self.s_params.tpred2h, self.s_params.Sarorder, self.s_params.tdet2h, self.p_params.addnoise)
         # save cf for later plotting
diff --git a/pylot/core/pick/charfuns.py b/pylot/core/pick/charfuns.py
index ec879865..7a2e1f75 100644
--- a/pylot/core/pick/charfuns.py
+++ b/pylot/core/pick/charfuns.py
@@ -441,6 +441,9 @@ class ARZcf(CharacteristicFunction):
 
 class ARHcf(CharacteristicFunction):
 
+    def __init__(self, data, cut, t1, t2, pickparams):
+        super(ARHcf, self).__init__(data, cut, t1=t1, t2=t2, order=pickparams["Sarorder"], fnoise=pickparams["addnoise"])
+
     def calcCF(self, data):
         """
         Function to calculate a characteristic function using autoregressive modelling of the waveform of