Skip to content
GitLab
Projects
Groups
Snippets
Help
Loading...
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in
Toggle navigation
N
NIFTy
Project overview
Project overview
Details
Activity
Releases
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Issues
13
Issues
13
List
Boards
Labels
Service Desk
Milestones
Merge Requests
13
Merge Requests
13
CI / CD
CI / CD
Pipelines
Jobs
Schedules
Operations
Operations
Incidents
Environments
Packages & Registries
Packages & Registries
Container Registry
Analytics
Analytics
CI / CD
Repository
Value Stream
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Create a new issue
Jobs
Commits
Issue Boards
Open sidebar
ift
NIFTy
Commits
df3bdf4c
Commit
df3bdf4c
authored
Jul 03, 2018
by
Martin Reinecke
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
use more generic names where applicable
parent
52593191
Changes
5
Hide whitespace changes
Inline
Side-by-side
Showing
5 changed files
with
11 additions
and
14 deletions
+11
-14
demos/getting_started_3.py
demos/getting_started_3.py
+5
-8
nifty5/library/__init__.py
nifty5/library/__init__.py
+1
-1
nifty5/library/correlated_fields.py
nifty5/library/correlated_fields.py
+3
-3
nifty5/library/poissonian_energy.py
nifty5/library/poissonian_energy.py
+1
-1
nifty5/models/constant.py
nifty5/models/constant.py
+1
-1
No files found.
demos/getting_started_3.py
View file @
df3bdf4c
import
nifty5
as
ift
from
nifty5.library.los_response
import
LOSResponse
from
nifty5.library.amplitude_model
import
make_amplitude_model
from
nifty5.library.smooth_sky
import
make_correlated_field
import
numpy
as
np
from
scipy.io
import
loadmat
def
get_random_LOS
(
n_los
):
...
...
@@ -19,7 +15,7 @@ if __name__ == '__main__':
position_space
=
ift
.
RGSpace
([
128
,
128
])
# Setting up an amplitude model
A
,
amplitude_internals
=
make_amplitude_model
(
A
,
amplitude_internals
=
ift
.
library
.
make_amplitude_model
(
position_space
,
16
,
1
,
10
,
-
4.
,
1
,
0.
,
1.
)
# Building the model for a correlated signal
...
...
@@ -35,14 +31,15 @@ if __name__ == '__main__':
Amp
=
power_distributor
(
A
)
correlated_field_h
=
Amp
*
xi
correlated_field
=
ht
(
correlated_field_h
)
#
#
alternatively to the block above one can do:
# correlated_field,
_ =
make_correlated_field(position_space, A)
# alternatively to the block above one can do:
# correlated_field,
_ = ift.library.
make_correlated_field(position_space, A)
# apply some nonlinearity
signal
=
ift
.
PointwisePositiveTanh
(
correlated_field
)
# Building the Line of Sight response
LOS_starts
,
LOS_ends
=
get_random_LOS
(
100
)
R
=
LOSResponse
(
position_space
,
starts
=
LOS_starts
,
ends
=
LOS_ends
)
R
=
ift
.
library
.
LOSResponse
(
position_space
,
starts
=
LOS_starts
,
ends
=
LOS_ends
)
# build signal response model and model likelihood
signal_response
=
R
(
signal
)
# specify noise
...
...
nifty5/library/__init__.py
View file @
df3bdf4c
...
...
@@ -6,4 +6,4 @@ from .point_sources import PointSources
from
.poissonian_energy
import
PoissonianEnergy
from
.wiener_filter_curvature
import
WienerFilterCurvature
from
.wiener_filter_energy
import
WienerFilterEnergy
from
.
smooth_sky
import
make_correlated_field
,
make_mf_correlated_field
from
.
correlated_fields
import
make_correlated_field
,
make_mf_correlated_field
nifty5/library/
smooth_sky
.py
→
nifty5/library/
correlated_fields
.py
View file @
df3bdf4c
...
...
@@ -62,6 +62,6 @@ def make_mf_correlated_field(s_space_spatial, s_space_energy,
position
=
MultiField
({
'xi'
:
Field
.
from_random
(
'normal'
,
h_space
)})
xi
=
Variable
(
position
)[
'xi'
]
logsky
_h
=
A
*
xi
logsky
=
ht
(
logsky
_h
)
return
PointwiseExponential
(
logsky
)
correlated_field
_h
=
A
*
xi
correlated_field
=
ht
(
correlated_field
_h
)
return
PointwiseExponential
(
correlated_field
)
nifty5/library/poissonian_energy.py
View file @
df3bdf4c
...
...
@@ -26,7 +26,7 @@ from ..sugar import log, makeOp
class
PoissonianEnergy
(
Energy
):
def
__init__
(
self
,
lamb
,
d
):
"""
lamb:
Sky m
odel object
lamb:
M
odel object
value = 0.5 * s.vdot(s), i.e. a log-Gauss distribution with unit
covariance
...
...
nifty5/models/constant.py
View file @
df3bdf4c
...
...
@@ -19,7 +19,7 @@ from .model import Model
class
Constant
(
Model
):
"""A
sky
model with a constant (multi-)field as value.
"""A model with a constant (multi-)field as value.
Parameters
----------
...
...
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
.
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment