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ift
NIFTy
Commits
23d2257c
Commit
23d2257c
authored
Jan 31, 2019
by
Lukas Platz
Committed by
Martin Reinecke
Jan 31, 2019
Browse files
Polishing demos
parent
c948dcb5
Changes
3
Hide whitespace changes
Inline
Side-by-side
demos/getting_started_1.py
View file @
23d2257c
...
...
@@ -51,10 +51,15 @@ def mask_to_nan(mask, field):
if
__name__
==
'__main__'
:
import
sys
np
.
random
.
seed
(
42
)
# Choose space on which the signal field is defined
mode
=
1
if
len
(
sys
.
argv
)
==
2
:
mode
=
int
(
sys
.
argv
[
1
])
else
:
mode
=
1
if
mode
==
0
:
# One-dimensional regular grid
position_space
=
ift
.
RGSpace
([
1024
])
...
...
@@ -135,6 +140,7 @@ if __name__ == '__main__':
# Plotting
rg
=
isinstance
(
position_space
,
ift
.
RGSpace
)
plot
=
ift
.
Plot
()
filename
=
f
"getting_started_1_mode_
{
mode
}
.png"
if
rg
and
len
(
position_space
.
shape
)
==
1
:
plot
.
add
(
[
HT
(
MOCK_SIGNAL
),
GR
.
adjoint
(
data
),
...
...
@@ -142,10 +148,11 @@ if __name__ == '__main__':
label
=
[
'Mock signal'
,
'Data'
,
'Reconstruction'
],
alpha
=
[
1
,
.
3
,
1
])
plot
.
add
(
mask_to_nan
(
mask
,
HT
(
m
-
MOCK_SIGNAL
)),
title
=
'Residuals'
)
plot
.
output
(
nx
=
2
,
ny
=
1
,
xsize
=
10
,
ysize
=
4
,
title
=
"getting_started_1"
)
plot
.
output
(
nx
=
2
,
ny
=
1
,
xsize
=
10
,
ysize
=
4
,
name
=
filename
)
else
:
plot
.
add
(
HT
(
MOCK_SIGNAL
),
title
=
'Mock Signal'
)
plot
.
add
(
mask_to_nan
(
mask
,
(
GR
(
Mask
)).
adjoint
(
data
)),
title
=
'Data'
)
plot
.
add
(
HT
(
m
),
title
=
'Reconstruction'
)
plot
.
add
(
mask_to_nan
(
mask
,
HT
(
m
-
MOCK_SIGNAL
)),
title
=
'Residuals'
)
plot
.
output
(
nx
=
2
,
ny
=
2
,
xsize
=
10
,
ysize
=
10
,
title
=
"getting_started_1"
)
plot
.
output
(
nx
=
2
,
ny
=
2
,
xsize
=
10
,
ysize
=
10
,
name
=
filename
)
print
(
f
"Saved results as '
{
filename
}
'."
)
demos/getting_started_2.py
View file @
23d2257c
...
...
@@ -42,11 +42,16 @@ def exposure_2d():
if
__name__
==
'__main__'
:
import
sys
# FIXME All random seeds to 42
np
.
random
.
seed
(
42
)
# Choose space on which the signal field is defined
mode
=
1
if
len
(
sys
.
argv
)
==
2
:
mode
=
int
(
sys
.
argv
[
1
])
else
:
mode
=
1
if
mode
==
0
:
# One-dimensional regular grid with uniform exposure of 10
position_space
=
ift
.
RGSpace
(
1024
)
...
...
@@ -107,9 +112,11 @@ if __name__ == '__main__':
# Plotting
signal
=
sky
(
mock_position
)
reconst
=
sky
(
H
.
position
)
filename
=
f
"getting_started_2_mode_
{
mode
}
.png"
plot
=
ift
.
Plot
()
plot
.
add
(
signal
,
title
=
'Signal'
)
plot
.
add
(
GR
.
adjoint
(
data
),
title
=
'Data'
)
plot
.
add
(
reconst
,
title
=
'Reconstruction'
)
plot
.
add
(
reconst
-
signal
,
title
=
'Residuals'
)
plot
.
output
(
name
=
'getting_started_2.pdf'
,
xsize
=
16
,
ysize
=
16
)
plot
.
output
(
xsize
=
12
,
ysize
=
10
,
name
=
filename
)
print
(
f
"Saved results as '
{
filename
}
'."
)
demos/getting_started_3.py
View file @
23d2257c
...
...
@@ -43,11 +43,16 @@ def radial_los(n_los):
if
__name__
==
'__main__'
:
import
sys
np
.
random
.
seed
(
420
)
# picked for a nice field realization
# Choose between random line-of-sight response (mode=0) and radial lines
# of sight (mode=1)
mode
=
0
if
len
(
sys
.
argv
)
==
2
:
mode
=
int
(
sys
.
argv
[
1
])
else
:
mode
=
0
filename
=
f
"getting_started_3_mode_
{
mode
}
_"
+
"{}.png"
position_space
=
ift
.
RGSpace
([
128
,
128
])
harmonic_space
=
position_space
.
get_default_codomain
()
...
...
@@ -113,7 +118,7 @@ if __name__ == '__main__':
plot
.
add
(
signal
(
mock_position
),
title
=
'Ground Truth'
)
plot
.
add
(
R
.
adjoint_times
(
data
),
title
=
'Data'
)
plot
.
add
([
A
.
force
(
mock_position
)],
title
=
'Power Spectrum'
)
plot
.
output
(
ny
=
1
,
nx
=
3
,
xsize
=
24
,
ysize
=
6
,
name
=
"setup
.png
"
)
plot
.
output
(
ny
=
1
,
nx
=
3
,
xsize
=
24
,
ysize
=
6
,
name
=
filename
.
format
(
"setup"
)
)
# number of samples used to estimate the KL
N_samples
=
20
...
...
@@ -129,7 +134,8 @@ if __name__ == '__main__':
plot
=
ift
.
Plot
()
plot
.
add
(
signal
(
KL
.
position
),
title
=
"reconstruction"
)
plot
.
add
([
A
.
force
(
KL
.
position
),
A
.
force
(
mock_position
)],
title
=
"power"
)
plot
.
output
(
ny
=
1
,
ysize
=
6
,
xsize
=
16
,
name
=
"loop-{:02}.png"
.
format
(
i
))
plot
.
output
(
ny
=
1
,
ysize
=
6
,
xsize
=
16
,
name
=
filename
.
format
(
f
"loop_
{
i
:
02
}
"
))
# Draw posterior samples
KL
=
ift
.
MetricGaussianKL
(
mean
,
H
,
N_samples
)
...
...
@@ -138,6 +144,7 @@ if __name__ == '__main__':
sc
.
add
(
signal
(
sample
+
KL
.
position
))
# Plotting
filename_res
=
filename
.
format
(
"results"
)
plot
=
ift
.
Plot
()
plot
.
add
(
sc
.
mean
,
title
=
"Posterior Mean"
)
plot
.
add
(
ift
.
sqrt
(
sc
.
var
),
title
=
"Posterior Standard Deviation"
)
...
...
@@ -148,4 +155,5 @@ if __name__ == '__main__':
A
.
force
(
mock_position
)],
title
=
"Sampled Posterior Power Spectrum"
,
linewidth
=
[
1.
]
*
len
(
powers
)
+
[
3.
,
3.
])
plot
.
output
(
ny
=
1
,
nx
=
3
,
xsize
=
24
,
ysize
=
6
,
name
=
"results.png"
)
plot
.
output
(
ny
=
1
,
nx
=
3
,
xsize
=
24
,
ysize
=
6
,
name
=
filename_res
)
print
(
f
"Saved results as '
{
filename_res
}
'."
)
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