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ixstools
xrstools
Commits
e519bd69
Commit
e519bd69
authored
Nov 23, 2020
by
myron
Browse files
tests OK
parent
2fd2b1ad
Changes
2
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Inline
Side-by-side
nonregressions/volumes/test2/batch_extraction_esynth1.py
View file @
e519bd69
...
...
@@ -7,18 +7,14 @@ import json
BATCH_PARALLELISM
=
1
import
os
def
main
():
peaks_shifts
=
np
.
array
(
[
6471.983002
,
6471.318152
,
6470.612314
,
6471.217828
,
])
Enominal
=
6470.6
peaks_shifts
-=
Enominal
])
-
6470.6
datadir
=
"/data/scisofttmp/mirone/Loic1/data/"
filter_path
=
datadir
+
"../mask.h5:/filter"
filename_template
=
"HC-D_2Dmap_%04d"
...
...
@@ -26,13 +22,14 @@ def main():
monitor_path_template
=
datadir
+
filename_template
+
"_monitor.hd5:/monitor"
# energy_custom_grid = np.array([6746.0,6754.0,6755.5,6756.2,6757.5,6759.3,6762.5,6770.0,6790.5])
energy_custom_grid
=
np
.
array
([
6744.0
,
6754.0
,
6755.5
,
6756.2
,
6757.5
,
6759.3
,
6762.5
,
6770.0
,
6792
])
# energy_custom_grid = np.array([6744.0,6754.0, 6754.8, 6755.5,6756.2,6757.5, 6758.63, 6759.3,6762.5,6770.0,6792])
# energy_custom_grid = np.array([6744.0,6754.0,6755.5,6756.2,6757.5,6759.3,6762.5,6770.0,6792])
energy_custom_grid
=
np
.
array
([
6744.0
,
6754.0
,
6754.8
,
6755.5
,
6756.2
,
6757.5
,
6758.63
,
6759.3
,
6762.5
,
6770.0
,
6792
])
energy_exp_grid
=
h5py
.
File
(
datadir
+
(
filename_template
%
1
)
+
".nxs"
,
"r"
)[
"/root.spyc.config1d_RIXS_0024/scan_data/actuator_1_1"
][()]
scan_interval
=
[
1
,
476
]
# from 1 to 475 included
scans_to_use_for_roi
=
list
(
range
(
1
,
20
))
Ydim
=
25
Zdim
=
19
...
...
@@ -49,12 +46,15 @@ def main():
"do_step_sample_extraction"
:
False
,
"do_step_scalar_products"
:
False
,
"do_step_interpolation_coefficients"
:
True
,
"do_step_finalise_for_fit"
:
True
"do_step_finalise_for_fit"
:
True
}
use_custom_components
=
None
# use_custom_components = "components.h5"
scans_to_use_for_roi
=
list
(
range
(
1
,
20
))
tools_sequencer
(
peaks_shifts
=
peaks_shifts
,
datadir
=
datadir
,
...
...
nonregressions/volumes/test2/extract_components.py
View file @
e519bd69
...
...
@@ -9,7 +9,7 @@ model = NMF(n_components=NC, init='random', random_state=0, max_iter = 200)
d
=
File
(
"solution_all_spectra.h5"
,
"r"
)
[
"data"
][()]
d
.
shape
=
9
,
-
1
d
.
shape
=
d
.
shape
[
0
]
,
-
1
W
=
model
.
fit_transform
(
d
.
T
)
...
...
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