Docs

nifty5/library/smooth_linear_amplitude.py

@@ -149,13 +149,15 @@ def SLAmplitude(target, n_pix, a, k0, sm, sv, im, iv, keys=['tau', 'phi']):
     a : float
         Strength of smoothness prior (see :class:`CepstrumOperator`).
     k0 : float
-        Cutoff of smothness prior in quefrency space (see :class:`CepstrumOperator`).
+        Cutoff of smothness prior in quefrency space (see
+        :class:`CepstrumOperator`).
     sm : float
-        Expected exponent of power law. FIXME
+        Expected exponent of power law.
     sv : float
         Prior standard deviation of exponent of power law.
     im : float
-        Expected y-intercept of power law. FIXME
+        Expected y-intercept of power law. This is the value at t_0 of the
+        LogRGSpace (see :class:`ExpTransform`).
     iv : float
         Prior standard deviation of y-intercept of power law.
 

nifty5/operators/exp_transform.py

@@ -34,6 +34,8 @@ class ExpTransform(LinearOperator):
     Then transforms between this log-space and its target, which is defined in
     normal units.
 
+    FIXME Write something on t_0 of domain space
+
     E.g: A field in log-log-space can be transformed into log-norm-space,
          that is the y-axis stays logarithmic, but the x-axis is transfromed.