Commit ab18a1b7 authored by Philipp Arras's avatar Philipp Arras
Browse files

Improvements Bernoulli demo

parent 59a4902c
......@@ -15,34 +15,33 @@
#
# NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik.
#####################################################################
# Bernoulli reconstruction
# reconstruct an event probability field with values between 0 and 1
# Reconstruct an event probability field with values between 0 and 1
# from the observed events
# 1D (set mode=0), 2D (mode=1), or on the sphere (mode=2)
#####################################################################
import nifty5 as ift
import numpy as np
import nifty5 as ift
if __name__ == '__main__':
# FIXME ABOUT THIS CODE
np.random.seed(41)
# Set up the position space of the signal
mode = 2
if mode == 0:
# One dimensional regular grid
# One-dimensional regular grid
position_space = ift.RGSpace(1024)
elif mode == 1:
# Two dimensional regular grid
# Two-dimensional regular grid
position_space = ift.RGSpace([512, 512])
else:
# Sphere
position_space = ift.HPSpace(128)
# Defining harmonic space and transform
# Define harmonic space and transform
harmonic_space = position_space.get_default_codomain()
HT = ift.HarmonicTransformOperator(harmonic_space, position_space)
......@@ -50,15 +49,13 @@ if __name__ == '__main__':
# Define power spectrum and amplitudes
def sqrtpspec(k):
return 1. / (20. + k**2)
return 1./(20. + k**2)
A = ift.create_power_operator(harmonic_space, sqrtpspec)
# Set up a sky model
# Set up a sky model and instrumental response
sky = ift.positive_tanh(HT(A))
GR = ift.GeometryRemover(position_space)
# Set up instrumental response
R = GR
# Generate mock data
......@@ -71,8 +68,8 @@ if __name__ == '__main__':
# Compute likelihood and Hamiltonian
position = ift.from_random('normal', harmonic_space)
likelihood = ift.BernoulliEnergy(data)(p)
ic_newton = ift.DeltaEnergyController(name='Newton', iteration_limit=100,
tol_rel_deltaE=1e-8)
ic_newton = ift.DeltaEnergyController(
name='Newton', iteration_limit=100, tol_rel_deltaE=1e-8)
minimizer = ift.NewtonCG(ic_newton)
ic_sampling = ift.GradientNormController(iteration_limit=100)
......@@ -88,5 +85,4 @@ if __name__ == '__main__':
plot.add(reconstruction, title='reconstruction')
plot.add(GR.adjoint_times(data), title='data')
plot.add(sky(mock_position), title='truth')
plot.output(nx=3, xsize=16, ysize=9, title="results",
name="bernoulli.png")
plot.output(nx=3, xsize=16, ysize=9, title="results", name="bernoulli.png")
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