Commit b9b19151 authored by Martin Reinecke's avatar Martin Reinecke
Browse files

Merge branch 'cleanupsInEnergyClasses' into 'NIFTy_4'

Cleanups in energy classes

See merge request ift/NIFTy!239
parents 25384ea0 ae16ecb6
Pipeline #26793 passed with stages
in 61 minutes and 29 seconds
......@@ -37,21 +37,23 @@ class NonlinearPowerEnergy(Energy):
It describes the energy of the logarithmic amplitudes of the power spectrum
of a Gaussian random field under reconstruction uncertainty with smoothness
and inverse gamma prior. It is used to infer the correlation structure of a
correlated signal.
correlated signal. The smoothness prior operates on logarithmic scale, i.e.
it prefers power-law-like power spectra.
Parameters
----------
position : Field
The current position of this energy.
m : Field
The map whose power spectrum has to be inferred
xi : Field
The excitation field.
D : EndomorphicOperator
The curvature of the Gaussian encoding the posterior covariance.
If not specified, the map is assumed to be no reconstruction.
default : None
sigma : float
The parameter of the smoothness prior.
default : ??? None? ???????
The parameter of the smoothness prior. Needs to be positive. A bigger
number means a stronger smoothness prior.
default : 0
samples : int
Number of samples used for the estimation of the uncertainty
corrections.
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment