# This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see . # # Copyright(C) 2013-2018 Max-Planck-Society # # NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik # and financially supported by the Studienstiftung des deutschen Volkes. from ..operators.sandwich_operator import SandwichOperator from ..operators.inversion_enabler import InversionEnabler def WienerFilterCurvature(R, N, S, inverter): """The curvature of the WienerFilterEnergy. This operator implements the second derivative of the WienerFilterEnergy used in some minimization algorithms or for error estimates of the posterior maps. It is the inverse of the propagator operator. Parameters ---------- R : LinearOperator The response operator of the Wiener filter measurement. N : EndomorphicOperator The noise covariance. S : DiagonalOperator The prior signal covariance inverter : Minimizer The minimizer to use during numerical inversion """ op = SandwichOperator.make(R, N.inverse) + S.inverse return InversionEnabler(op, inverter, S.inverse)