Commit 330802d5 authored by Philipp Arras's avatar Philipp Arras

Fix getting_started_3

parent fa7c9f88
......@@ -85,7 +85,7 @@ if __name__ == '__main__':
plot = ift.Plot()
plot.add(signal(MOCK_POSITION), title='Ground Truth')
plot.add(R.adjoint_times(data), title='Data')
plot.add([A(MOCK_POSITION)], title='Power Spectrum')
plot.add([A(MOCK_POSITION.extract(A.domain))], title='Power Spectrum')
plot.output(ny=1, nx=3, xsize=24, ysize=6, name="setup.png")
# number of samples used to estimate the KL
......@@ -97,18 +97,24 @@ if __name__ == '__main__':
plot = ift.Plot()
plot.add(signal(KL.position), title="reconstruction")
plot.add([A(KL.position), A(MOCK_POSITION)], title="power")
plot.output(ny=1, ysize=6, xsize=16, name="loop.png")
plot = ift.Plot()
sc = ift.StatCalculator()
for sample in KL.samples:
sc.add(signal(sample + KL.position))
plot.add(sc.mean, title="Posterior Mean")
plot.add(ift.sqrt(sc.var), title="Posterior Standard Deviation")
powers = [A(s+KL.position) for s in KL.samples]
powers = [A((s + KL.position).extract(A.domain)) for s in KL.samples]
[A(KL.position), A(MOCK_POSITION)]+powers,
A(MOCK_POSITION.extract(A.domain))] + powers,
title="Sampled Posterior Power Spectrum")
plot.output(ny=1, nx=3, xsize=24, ysize=6, name="results.png")
......@@ -21,6 +21,7 @@ from __future__ import absolute_import, division, print_function
from .. import utilities
from ..compat import *
from ..domain_tuple import DomainTuple
from import Domain
from ..field import Field
from ..linearization import Linearization
from ..sugar import makeOp
......@@ -84,10 +85,12 @@ class GaussianEnergy(EnergyOperator):
self._icov = None if covariance is None else covariance.inverse
def _checkEquivalence(self, newdom):
if isinstance(newdom, Domain):
newdom = DomainTuple.make(newdom)
if self._domain is None:
self._domain = DomainTuple.make(newdom)
self._domain = newdom
if self._domain != DomainTuple.make(newdom):
if self._domain != newdom:
raise ValueError("domain mismatch")
def apply(self, x):
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