diff --git a/demos/wiener_filter_hamiltonian.py b/demos/wiener_filter_hamiltonian.py
index 325402e14de3cebce37a9279fa9abc90522a8403..85c14d937ef2c3c4d5bea9249d8348e2c04c337b 100644
--- a/demos/wiener_filter_hamiltonian.py
+++ b/demos/wiener_filter_hamiltonian.py
@@ -27,7 +27,7 @@ class WienerFilterEnergy(Energy):
     @property
     def value(self):
         D_inv_x = self.D_inverse_x()
-        H = 0.5 * D_inv_x.vdot(self.position) - self.j.dot(self.position)
+        H = 0.5 * D_inv_x.vdot(self.position) - self.j.vdot(self.position)
         return H.real
 
     @property
@@ -75,7 +75,7 @@ if __name__ == "__main__":
     ss = fft.inverse_times(sh)
 
     # model the measurement process
-    R = SmoothingOperator(s_space, sigma=0.01)
+    R = SmoothingOperator.make(s_space, sigma=0.01)
 #    R = DiagonalOperator(s_space, diagonal=1.)
 #    R._diagonal.val[200:400, 200:400] = 0
 
@@ -95,7 +95,7 @@ if __name__ == "__main__":
 
     def distance_measure(energy, iteration):
         x = energy.position
-        print((iteration, (x-ss).norm()/ss.norm()).real))
+        print(iteration, (x-ss).norm()/ss.norm().real)
 
 #    minimizer = SteepestDescent(convergence_tolerance=0,
 #                                iteration_limit=50,
diff --git a/demos/wiener_filter_unit.py b/demos/wiener_filter_unit.py
index 732155a5a560b4aec4a8f717a41351a2c975ebc9..1441d264603cf2593687c5ab899cbbd8536c2f64 100644
--- a/demos/wiener_filter_unit.py
+++ b/demos/wiener_filter_unit.py
@@ -88,7 +88,7 @@ if __name__ == "__main__":
     x1 = RGSpace(npix, distances=total_volume / npix,
                  zerocenter=False)
     k1 = RGRGTransformation.get_codomain(x1)
-    p1 = PowerSpace(harmonic_domain=k1, log=False)
+    p1 = PowerSpace(harmonic_partner=k1, logarithmic=False)
 
     # creating Power Operator with given spectrum
     spec = (lambda k: a_s / (1 + (k / k_0) ** 2) ** 2)
diff --git a/nifty/field.py b/nifty/field.py
index ed1235d8a70a93ff96df77aeb85b5b54d82897da..c139d79afa7f3a159206a54a6573f9c1825f78cd 100644
--- a/nifty/field.py
+++ b/nifty/field.py
@@ -1104,7 +1104,7 @@ class Field(Loggable, Versionable, object):
             The Lq-norm of the field values.
 
         """
-        return np.sqrt(np.abs(self.dot(x=self)))
+        return np.sqrt(np.abs(self.vdot(x=self)))
 
     def conjugate(self, inplace=False):
         """ Retruns the complex conjugate of the field.