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White Rabbit Calibration
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e7baef8d
Commit
e7baef8d
authored
Nov 07, 2018
by
Peter Jansweijer
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added eooe calculation script
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e7baef8d
#!/usr/bin/python
"""
calc.py: Analyses the stat_result files that were output by AnalyzeScopeData.py
and takes the linear correlation results to calculate the final optical to
electrical delay of the photo detector.
-------------------------------------------------------------------------------
Copyright (C) 2017 Peter Jansweijer, Henk Peek
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>
-------------------------------------------------------------------------------
Usage:
calc.py <root-name> (for example "180928_12_09_18_3_lambda_insitu_alpha_scan")
calc.py -h | --help
<root-name> identifies the files to analyse. Four files have the root-name plus:
<root-name>_l1_a lambda 1 (-> lambda 2)
<root-name>_l2_a lambda 2
<root-name>_l2_b lambda 2 (-> lambda 1)
<root-name>_l1_b lambda 1
so two sets of files are recorded: 'a' setting first lambda 1 then lambda 2
and 'b' setting first lambda 2 then lambda 1. This is to evaluate whether
tuning in one or the other direction is of influence on the CRTT measurements.
So far this has not been an issue.
Options:
-h --help Show this screen.
-t tolerance [ps], skip points outside fitted line, default: "200"
-i use ITU channels instead of wavelength
"""
import
os
import
sys
import
scipy
import
numpy
import
matplotlib.pyplot
as
plt
import
pdb
# Add parent directory (containing 'lib') to the module search path
lib_path
=
(
os
.
path
.
dirname
(
os
.
path
.
abspath
(
__file__
)))
lib_path
=
os
.
path
.
join
(
lib_path
,
".."
)
sys
.
path
.
insert
(
0
,
lib_path
)
############################################################################
def
read_stat_result
(
dirname
,
sign
=
"neg"
):
"""
read_stat_result
dirname -- pointer to the directory that contains the stat_result.txt file
sign -- default "neg" i.e. stat_result lineair-mean values are negative due
-- to the fact that channel 1 and 3 of the oscilloscope are swapped.
returns:
fail, lin_meas
-- <Bool> fail = True when an error occurred while reading the file
-- <Tuple> lin_meas [0] = lineair-mean,
-- [1] = se,
-- [2] = sem,
"""
if
not
(
os
.
path
.
isdir
(
dirname
)):
print
(
dirname
+
": is not a directory."
)
return
(
True
,
nan
)
stat_result_filename
=
os
.
path
.
join
(
dirname
,
"stat_result.txt"
)
if
not
(
os
.
path
.
isfile
(
stat_result_filename
)):
print
(
stat_result_filename
+
": No stat_result.txt file found."
)
return
(
True
,
nan
)
stat_result_file
=
open
(
stat_result_filename
,
"r"
)
while
1
:
# Lines look like this:
# data/data_181106_1/181106_2 lineair-mean: -6.79100959999e-10 se: 2.16707944778e-14 sem: 4.33415889555e-15 topt: 1 if line == "":
line
=
stat_result_file
.
readline
()
if
line
==
""
:
break
#end of file
line_lst
=
line
.
strip
()
.
split
(
" "
)
if
"lineair"
in
line_lst
[
1
]:
if
sign
==
"neg"
:
lin_meas
=
-
float
(
line_lst
[
2
]),
float
(
line_lst
[
4
]),
float
(
line_lst
[
6
])
else
:
lin_meas
=
+
float
(
line_lst
[
2
]),
float
(
line_lst
[
4
]),
float
(
line_lst
[
6
])
return
(
False
,
lin_meas
)
return
(
True
,
nan
)
###########################################################################
def
write_meas
(
file_ptr
,
meas_txt
,
meas
):
"""
Test whether a measurement is present or not
If not then exit with a failure message
file_ptr -- <file> Pointer to output file
meas_txt -- <Str> preceding string
meas -- <Tuple> lin_meas [0] = lineair-mean,
-- [1] = se,
-- [2] = sem,
returns:
"""
file_ptr
.
write
(
meas_txt
+
str
(
meas
[
0
])
+
", "
+
str
(
meas
[
1
])
+
", "
+
str
(
meas
[
2
])
+
"
\n
"
)
return
###########################################################################
#
# If run from commandline, we can test the library
#a_meas[
"""
Usage:
calc.py <root-name> (for example "180928_12_09_18_3_lambda_insitu_alpha_scan")
calc.py -h | --help
<root-name> identifies the files to analyse. Four files have the root-name plus:
<root-name>_l1_a lambda 1 (-> lambda 2)
<root-name>_l2_a lambda 2
<root-name>_l2_b lambda 2 (-> lambda 1)
<root-name>_l1_b lambda 1
so two sets of files are recorded: 'a' setting first lambda 1 then lambda 2
and 'b' setting first lambda 2 then lambda 1. This is to evaluate whether
tuning in one or the other direction is of influence on the CRTT measurements.
So far this has not been an issue.
Options:
-h --help Show this screen.
-t tolerance [ps], skip points outside fitted line, default: "200"
-i use ITU channels instead of wavelength
"""
if
__name__
==
"__main__"
:
import
argparse
parser
=
argparse
.
ArgumentParser
()
parser
.
add_argument
(
"name"
,
help
=
"directory that contains the measurement files _a, _b1, _b2, _c, _d1, _d2, _e, _f"
)
args
=
parser
.
parse_args
()
name
=
args
.
name
files
=
[]
# Figure out if the input files exist. Extensions should be:
files_exist
=
True
if
not
(
os
.
path
.
isdir
(
name
)):
print
(
name
+
": is not a directory."
)
print
(
"Provide the root that contains measurement subdirectories _a, _b1, _b2, _c, _d1, _d2, _e, _f"
)
sys
.
exit
()
meas_dirs
=
os
.
listdir
(
name
)
fail
=
True
for
meas_dir
in
meas_dirs
:
#print(os.path.join(name,meas_dir))
if
meas_dir
[
-
2
:]
==
"_aux"
:
fail
,
aux_meas
=
read_stat_result
(
os
.
path
.
join
(
name
,
meas_dir
))
elif
meas_dir
[
-
2
:]
==
"_a"
:
fail
,
a_meas
=
read_stat_result
(
os
.
path
.
join
(
name
,
meas_dir
))
elif
meas_dir
[
-
2
:]
==
"b1"
:
fail
,
b1_meas
=
read_stat_result
(
os
.
path
.
join
(
name
,
meas_dir
))
elif
meas_dir
[
-
2
:]
==
"b2"
:
fail
,
b2_meas
=
read_stat_result
(
os
.
path
.
join
(
name
,
meas_dir
))
elif
meas_dir
[
-
2
:]
==
"_c"
:
fail
,
c_meas
=
read_stat_result
(
os
.
path
.
join
(
name
,
meas_dir
))
elif
meas_dir
[
-
2
:]
==
"d1"
:
fail
,
d1_meas
=
read_stat_result
(
os
.
path
.
join
(
name
,
meas_dir
))
elif
meas_dir
[
-
2
:]
==
"d2"
:
fail
,
d2_meas
=
read_stat_result
(
os
.
path
.
join
(
name
,
meas_dir
))
elif
meas_dir
[
-
2
:]
==
"_e"
:
fail
,
e_meas
=
read_stat_result
(
os
.
path
.
join
(
name
,
meas_dir
))
elif
meas_dir
[
-
2
:]
==
"_f"
:
fail
,
f_meas
=
read_stat_result
(
os
.
path
.
join
(
name
,
meas_dir
))
if
fail
:
print
(
" failed at file: "
+
os
.
path
.
join
(
name
,
meas_dir
))
sys
.
exit
()
# Check if all mandatory measurements are present:
try
:
a_meas
[
0
]
except
:
print
(
"FAIL: no file found for measurements _a"
)
sys
.
exit
()
try
:
b1_meas
[
0
]
except
:
print
(
"FAIL: no file found for measurements _b1"
)
sys
.
exit
()
try
:
b2_meas
[
0
]
except
:
print
(
"FAIL: no file found for measurements _b2"
)
sys
.
exit
()
try
:
c_meas
[
0
]
except
:
print
(
"FAIL: no file found for measurements _c"
)
sys
.
exit
()
try
:
d1_meas
[
0
]
except
:
print
(
"FAIL: no file found for measurements _d1"
)
sys
.
exit
()
try
:
d2_meas
[
0
]
except
:
print
(
"FAIL: no file found for measurements _d2"
)
sys
.
exit
()
try
:
e_meas
[
0
]
except
:
print
(
"FAIL: no file found for measurements _e"
)
sys
.
exit
()
try
:
f_meas
[
0
]
except
:
print
(
"FAIL: no file found for measurements _f"
)
sys
.
exit
()
# Now do the calculations:
# lineair-mean values are tuple [0] items
# lineair-se are tuple [1] items, lineair-sem are tuple[2] items
D_f
=
(
85.36e-12
,
1.1e-13
,
1.1e-14
)
Type_B_err
=
(
1.1e-12
,
0
,
1.67929e-12
)
# note that b and d are two measurements; take the mean value and
# calculate their standard deviation and standard error.
b_meas
=
((
b1_meas
[
0
]
+
b2_meas
[
0
])
/
2
,
numpy
.
sqrt
(
b1_meas
[
1
]
**
2
+
b2_meas
[
1
]
**
2
)
/
2
,
numpy
.
sqrt
(
b1_meas
[
2
]
**
2
+
b2_meas
[
2
]
**
2
)
/
2
)
d_meas
=
((
d1_meas
[
0
]
+
d2_meas
[
0
])
/
2
,
numpy
.
sqrt
(
d1_meas
[
1
]
**
2
+
d2_meas
[
1
]
**
2
)
/
2
,
numpy
.
sqrt
(
d1_meas
[
2
]
**
2
+
d2_meas
[
2
]
**
2
)
/
2
)
# https://doi.org/10.1364/OE.26.014650
# fill in Eq. (10)
D_OE
=
((
-
a_meas
[
0
]
-
b_meas
[
0
]
+
c_meas
[
0
]
-
d_meas
[
0
]
+
e_meas
[
0
]
+
f_meas
[
0
]
+
D_f
[
0
])
/
2
)
-
Type_B_err
[
0
]
# Eq. (10) fraction errors:
frac_se
=
numpy
.
sqrt
(
a_meas
[
1
]
**
2
+
b_meas
[
1
]
**
2
+
c_meas
[
1
]
**
2
+
d_meas
[
1
]
**
2
+
e_meas
[
1
]
**
2
+
f_meas
[
1
]
**
2
+
D_f
[
1
]
**
2
)
/
2
frac_sem
=
numpy
.
sqrt
(
a_meas
[
2
]
**
2
+
b_meas
[
2
]
**
2
+
c_meas
[
2
]
**
2
+
d_meas
[
2
]
**
2
+
e_meas
[
2
]
**
2
+
f_meas
[
2
]
**
2
+
D_f
[
2
]
**
2
)
/
2
# Eq. (10) total errors:
D_OE_se
=
numpy
.
sqrt
(
frac_se
**
2
+
Type_B_err
[
1
]
**
2
)
D_OE_sem
=
numpy
.
sqrt
(
frac_sem
**
2
+
Type_B_err
[
2
]
**
2
)
result_file
=
open
(
os
.
path
.
join
(
name
,
"calc_result.txt"
),
"w"
)
result_file
.
write
(
"# Calculated result for eooe measurement
\n
"
)
result_file
.
write
(
"# file: "
+
os
.
path
.
join
(
name
,
"calc_result.txt"
)
+
"
\n
"
)
write_meas
(
result_file
,
"a, "
,
a_meas
)
write_meas
(
result_file
,
"b, "
,
b_meas
)
write_meas
(
result_file
,
"c, "
,
c_meas
)
write_meas
(
result_file
,
"d, "
,
d_meas
)
write_meas
(
result_file
,
"e, "
,
e_meas
)
write_meas
(
result_file
,
"f, "
,
f_meas
)
result_file
.
write
(
"
\n
"
)
result_file
.
write
(
"D_OE, "
+
str
(
D_OE
)
+
"
\n
"
)
result_file
.
write
(
"D_OE_se, "
+
str
(
D_OE_se
)
+
"
\n
"
)
result_file
.
write
(
"D_OE_sem, "
+
str
(
D_OE_sem
)
+
"
\n
"
)
result_file
.
close
()
print
(
"a: "
,
a_meas
)
print
(
"b: "
,
b_meas
)
#print("b1: ", b1_meas)
#print("b2: ",b2_meas)
print
(
"c: "
,
c_meas
)
print
(
"d: "
,
d_meas
)
#print("d1: ",d1_meas)
#print("d2: ",d2_meas)
print
(
"e: "
,
e_meas
)
print
(
"f: "
,
f_meas
)
print
(
"D_OE"
,
D_OE
)
#print("frac_se", frac_se)
#print("frac_sem", frac_sem)
print
(
"D_OE_se"
,
D_OE_se
)
print
(
"D_OE_sem"
,
D_OE_sem
)
sys
.
exit
()
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