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# 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.
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# You should have received a copy of the GNU General Public License
# along with this program. If not, see .
#
# Copyright(C) 2013-2019 Max-Planck-Society
#
# NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik.
from ..operators.inversion_enabler import InversionEnabler
from ..operators.sampling_enabler import SamplingEnabler
from ..operators.sandwich_operator import SandwichOperator
def WienerFilterCurvature(R, N, S, iteration_controller=None,
iteration_controller_sampling=None):
"""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
iteration_controller : IterationController
The iteration controller to use during numerical inversion via
ConjugateGradient.
iteration_controller_sampling : IterationController
The iteration controller to use for sampling.
"""
M = SandwichOperator.make(R, N.inverse)
if iteration_controller_sampling is not None:
op = SamplingEnabler(M, S.inverse, iteration_controller_sampling,
S.inverse)
else:
op = M + S.inverse
return InversionEnabler(op, iteration_controller, S.inverse)