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Gregory Ashton
PyFstat
Commits
f8f2b07e
Commit
f8f2b07e
authored
7 years ago
by
David Keitel
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writer function for atoms (TransientGridSearch)
parent
d952cd3e
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1 merge request
!14
writer function for atoms (TransientGridSearch)
Changes
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2 changed files
pyfstat/core.py
+12
-0
12 additions, 0 deletions
pyfstat/core.py
pyfstat/grid_based_searches.py
+4
-1
4 additions, 1 deletion
pyfstat/grid_based_searches.py
with
16 additions
and
1 deletion
pyfstat/core.py
+
12
−
0
View file @
f8f2b07e
...
...
@@ -907,6 +907,18 @@ class ComputeFstat(BaseSearchClass):
else
:
return
ax
def
write_atoms_to_file
(
self
,
fnamebase
=
''
):
multiFatoms
=
getattr
(
self
.
FstatResults
,
'
multiFatoms
'
,
None
)
if
multiFatoms
and
multiFatoms
[
0
]:
dopplerName
=
lalpulsar
.
PulsarDopplerParams2String
(
self
.
PulsarDopplerParams
)
#fnameAtoms = os.path.join(self.outdir,'Fstatatoms_%s.dat' % dopplerName)
fnameAtoms
=
fnamebase
+
'
_Fstatatoms_%s.dat
'
%
dopplerName
fo
=
lal
.
FileOpen
(
fnameAtoms
,
'
w
'
)
lalpulsar
.
write_MultiFstatAtoms_to_fp
(
fo
,
multiFatoms
[
0
]
)
del
fo
# instead of lal.FileClose() which is not SWIG-exported
else
:
raise
RuntimeError
(
'
Cannot print atoms vector to file: no FstatResults.multiFatoms, or it is None!
'
)
class
SemiCoherentSearch
(
ComputeFstat
):
"""
A semi-coherent search
"""
...
...
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pyfstat/grid_based_searches.py
+
4
−
1
View file @
f8f2b07e
...
...
@@ -354,7 +354,8 @@ class TransientGridSearch(GridSearch):
input_arrays
=
False
,
assumeSqrtSX
=
None
,
transientWindowType
=
None
,
t0Band
=
None
,
tauBand
=
None
,
dt0
=
None
,
dtau
=
None
,
outputTransientFstatMap
=
False
):
outputTransientFstatMap
=
False
,
outputAtoms
=
False
):
"""
Parameters
----------
...
...
@@ -442,6 +443,8 @@ class TransientGridSearch(GridSearch):
thisCand
+=
[
windowRange
.
t0
+
maxidx
[
0
]
*
windowRange
.
dt0
,
windowRange
.
tau
+
maxidx
[
1
]
*
windowRange
.
dtau
]
data
.
append
(
thisCand
)
if
self
.
outputAtoms
:
self
.
search
.
write_atoms_to_file
(
os
.
path
.
splitext
(
self
.
out_file
)[
0
])
data
=
np
.
array
(
data
,
dtype
=
np
.
float
)
if
return_data
:
...
...
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