diff --git a/demos/getting_started_0.ipynb b/demos/getting_started_0.ipynb
index cce66e1f22b5151cb76e5fdcc6654962b45ea45c..8ef325af6d5f3d5587acebd48fb01e47a960606e 100644
--- a/demos/getting_started_0.ipynb
+++ b/demos/getting_started_0.ipynb
@@ -171,7 +171,7 @@
     "                                    tol_abs_gradnorm=0.1)\n",
     "    # WienerFilterCurvature is (R.adjoint*N.inverse*R + Sh.inverse) plus some handy\n",
     "    # helper methods.\n",
-    "    return ift.WienerFilterCurvature(R,N,Sh,iteration_controller=IC,iteration_controller_sampling=IC, data_sampling_dtype=np.float64, prior_sampling_dtype=np.float64)"
+    "    return ift.WienerFilterCurvature(R,N,Sh,iteration_controller=IC,iteration_controller_sampling=IC)"
    ]
   },
   {
diff --git a/nifty6/library/wiener_filter_curvature.py b/nifty6/library/wiener_filter_curvature.py
index 7895878a72ec09967d63379c1d5320cd4a41fd9f..d69bcb5c144fd5a16d9835273e87fcbc2dd7c5e9 100644
--- a/nifty6/library/wiener_filter_curvature.py
+++ b/nifty6/library/wiener_filter_curvature.py
@@ -15,6 +15,8 @@
 #
 # NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik.
 
+import numpy as np
+
 from ..operators.inversion_enabler import InversionEnabler
 from ..operators.sampling_enabler import SamplingDtypeSetter, SamplingEnabler
 from ..operators.sandwich_operator import SandwichOperator
@@ -22,8 +24,8 @@ from ..operators.sandwich_operator import SandwichOperator
 
 def WienerFilterCurvature(R, N, S, iteration_controller=None,
                           iteration_controller_sampling=None,
-                          data_sampling_dtype=None,
-                          prior_sampling_dtype=None):
+                          data_sampling_dtype=np.float64,
+                          prior_sampling_dtype=np.float64):
     """The curvature of the WienerFilterEnergy.
 
     This operator implements the second derivative of the
@@ -44,6 +46,13 @@ def WienerFilterCurvature(R, N, S, iteration_controller=None,
         ConjugateGradient.
     iteration_controller_sampling : IterationController
         The iteration controller to use for sampling.
+    data_sampling_dtype : numpy.dtype or dict of numpy.dtype
+        Data type used for sampling from likelihood. Conincides with the data
+        type of the data used in the inference problem. Default is float64.
+    prior_sampling_dtype : numpy.dtype or dict of numpy.dtype
+        Data type used for sampling from likelihood. Coincides with the data
+        type of the parameters of the forward model used for the inference
+        problem. Default is float64.
     """
     Ninv = N.inverse
     Sinv = S.inverse