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McMule
User Library
Commits
31f79451
Commit
31f79451
authored
Jul 03, 2020
by
ulrich_y
Browse files
PEP8 compliance
parent
c3d6b5a2
Pipeline
#1214
canceled with stages
in 2 minutes and 3 seconds
Changes
3
Pipelines
1
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Inline
Side-by-side
Showing
3 changed files
with
95 additions
and
71 deletions
+95
-71
l-p-scattering/mesa-legacy/legacy.py
l-p-scattering/mesa-legacy/legacy.py
+19
-17
l-p-scattering/muse-legacy/legacy.py
l-p-scattering/muse-legacy/legacy.py
+27
-23
mu-e-scattering/muone-legacy/legacy.py
mu-e-scattering/muone-legacy/legacy.py
+49
-31
No files found.
l-p-scattering/mesa-legacy/legacy.py
View file @
31f79451
...
...
@@ -9,7 +9,7 @@ lo = scaleset(mergefks(sigma('mp2mp0')), alpha**2*conv)
fig
,
nloNoVP
=
mergefkswithplot
([
[
sigma
(
'mp2mpF'
)],
[
sigma
(
'mp2mpR15'
),
sigma
(
'mp2mpR35'
)]
],
scale
=
alpha
**
3
*
conv
,
xlim
=
[
-
3
,
0
])
],
scale
=
alpha
**
3
*
conv
,
xlim
=
[
-
3
,
0
])
fig
.
savefig
(
'plots/xi-nlo.pdf'
)
...
...
@@ -31,7 +31,7 @@ nlo = scaleset(mergefks(
nnlo
=
scaleset
(
mergefks
(
sigma
(
'mp2mpFF'
),
sigma
(
'mp2mpAF'
,
obs
=
'1'
),
sigma
(
'mp2mpRF15'
),
sigma
(
'mp2mpRF35'
),
sigma
(
'mp2mpAR15'
,
obs
=
'1'
),
sigma
(
'mp2mpAR35'
,
obs
=
'1'
),
sigma
(
'mp2mpAR15'
,
obs
=
'1'
),
sigma
(
'mp2mpAR35'
,
obs
=
'1'
),
sigma
(
'mp2mpRR1516'
),
sigma
(
'mp2mpRR3536'
),
anyxiF
=
sigma
(
'mp2mpAA'
,
obs
=
'1'
),
anyxiNF
=
sigma
(
'mp2mpNF'
,
obs
=
'1'
)
...
...
@@ -46,20 +46,22 @@ nnloNF = scaleset(mergefks(
),
alpha
**
4
*
conv
)
#####################################################################}}}
## Print numbers{{{
print
(
"run time %f days"
%
((
lo
[
'time'
]
+
nlo
[
'time'
]
+
nnlo
[
'time'
])
/
3600.
/
24.
))
print
(
"run time %f days"
%
(
(
lo
[
'time'
]
+
nlo
[
'time'
]
+
nnlo
[
'time'
])
/
3600.
/
24.
)
)
print
(
"
\\
sigma^(0) = "
+
printnumber
(
lo
[
'value'
]))
print
(
"
\\
sigma^(1) = +"
+
printnumber
(
nlo
[
'value'
]))
print
(
"
\\
sigma^(2) = "
+
printnumber
(
nnlo
[
'value'
]))
print
(
"
\\
sigma^(2) = "
+
printnumber
(
nnlo
[
'value'
]))
#####################################################################}}}
## Make pictures{{{
### $\theta_e${{{
fig
,
(
ax1
,
ax2
,
ax3
)
=
kplot
(
{
'lo'
:
mergebins
(
lo
[
'thetae'
],
4
),
'nlo'
:
mergebins
(
nlo
[
'thetae'
],
4
),
'nnlo'
:
mergebins
(
nnlo
[
'thetae'
],
4
),
'nlo2'
:
mergebins
(
nloNoVP
[
'thetae'
],
4
),
'nnlo2'
:
mergebins
(
nnloNoVP
[
'thetae'
],
4
)
'lo'
:
mergebins
(
lo
[
'thetae'
],
4
),
'nlo'
:
mergebins
(
nlo
[
'thetae'
],
4
),
'nnlo'
:
mergebins
(
nnlo
[
'thetae'
],
4
),
'nlo2'
:
mergebins
(
nloNoVP
[
'thetae'
],
4
),
'nnlo2'
:
mergebins
(
nnloNoVP
[
'thetae'
],
4
)
},
labelx
=
"$
\\
theta_e\,/\,{
\\
rm deg}$"
,
labelsigma
=
"$
\\
D
\\
sigma/
\\
D
\\
theta_e\ /\ {
\\
rm
\\
upmu b}$"
,
...
...
@@ -78,11 +80,11 @@ fig.savefig('plots/thetae.pdf')
### $Q_e^2$ and $Q_p^2${{{
fig
,
(
ax1
,
ax2
,
ax3
)
=
kplot
(
{
'lo'
:
mergebins
(
lo
[
'qsqP'
][
10
:
189
],
4
),
'nlo'
:
mergebins
(
nlo
[
'qsqP'
][
10
:
189
],
4
),
'nnlo'
:
mergebins
(
nnlo
[
'qsqP'
][
10
:
189
],
4
),
'nlo2'
:
mergebins
(
nlo
[
'qsqE'
][
10
:
189
],
4
),
'nnlo2'
:
mergebins
(
nnlo
[
'qsqE'
][
10
:
189
],
4
),
'lo'
:
mergebins
(
lo
[
'qsqP'
][
10
:
189
],
4
),
'nlo'
:
mergebins
(
nlo
[
'qsqP'
][
10
:
189
],
4
),
'nnlo'
:
mergebins
(
nnlo
[
'qsqP'
][
10
:
189
],
4
),
'nlo2'
:
mergebins
(
nlo
[
'qsqE'
][
10
:
189
],
4
),
'nnlo2'
:
mergebins
(
nnlo
[
'qsqE'
][
10
:
189
],
4
),
},
labelx
=
"$|t|\,/\,{
\\
rm MeV}^2$"
,
...
...
@@ -94,10 +96,10 @@ fig, (ax1, ax2, ax3) = kplot(
},
legendopts
=
{
'what'
:
'u'
,
'loc'
:
'upper right'
}
)
ax2
.
set_ylim
(
-
0.07
,
0.07
)
ax3
.
set_ylim
(
-
0.0042
,
0.0042
)
ax2
.
set_ylim
(
-
0.07
,
0.07
)
ax3
.
set_ylim
(
-
0.0042
,
0.0042
)
updateaxis
(
ax3
,
fig
,
2
)
updateaxis
(
ax3
,
fig
,
2
)
fig
.
savefig
(
'plots/qsq.pdf'
)
###########################################################}}}
#####################################################################}}}
l-p-scattering/muse-legacy/legacy.py
View file @
31f79451
...
...
@@ -31,7 +31,7 @@ nlo = scaleset(mergefks(
nnlo
=
scaleset
(
mergefks
(
sigma
(
'mp2mpFF'
),
sigma
(
'mp2mpAF'
),
sigma
(
'mp2mpRF15'
),
sigma
(
'mp2mpRF35'
),
sigma
(
'mp2mpAR15'
),
sigma
(
'mp2mpAR35'
),
sigma
(
'mp2mpAR15'
),
sigma
(
'mp2mpAR35'
),
sigma
(
'mp2mpRR1516'
),
sigma
(
'mp2mpRR3536'
),
anyxiF
=
sigma
(
'mp2mpAA'
),
anyxiNF
=
sigma
(
'mp2mpNF'
)
...
...
@@ -58,47 +58,51 @@ fig, (ax1, ax2, ax3) = kplot(
legendopts
=
{
'what'
:
'u'
,
'loc'
:
'upper right'
}
)
ylim
(
0.99995
-
1
,
1.0002
-
1
)
pymule
.
plot
.
mpl_axes_aligner
.
yaxes
(
ax2
,
ax3
,
y1
=
0.
)
pymule
.
plot
.
mpl_axes_aligner
.
yaxes
(
ax2
,
ax3
,
y1
=
0.
)
fig
.
savefig
(
'plots/thetamu.pdf'
)
###########################################################}}}
### bands{{{
def
sanitise
(
x
):
x
[
x
[:,
1
]
==
0
,
1
]
=
-
10
x
[
x
[:,
1
]
==
0
,
1
]
=
-
10
return
x
bands
=
[
'EmuB1'
,
'EmuB2'
,
'EmuB3'
,
'EmuB4'
]
bandxs
=
[
addplots
(
lo
[
k
],
addplots
(
nlo
[
k
],
nnlo
[
k
]))
for
k
in
bands
]
bandk1
=
[
sanitise
(
divideplots
(
nlo
[
k
],
lo
[
k
]))
for
k
in
bands
]
bandk2
=
[
sanitise
(
divideplots
(
nnlo
[
k
],
addplots
(
lo
[
k
],
nlo
[
k
])))
for
k
in
bands
]
bandk2
=
[
sanitise
(
divideplots
(
nnlo
[
k
],
addplots
(
lo
[
k
],
nlo
[
k
])))
for
k
in
bands
]
fig
,
(
ax1
,
ax2
,
ax3
)
=
threepanel
(
labelx
=
"$E_
\\
mu^{
\\
rm kin}\,/\,{
\\
rm MeV}$"
,
upleft
=
bandxs
,
labupleft
=
"$
\\
D
\\
sigma/
\\
D E_
\\
mu^{
\\
rm kin}\,/\,{
\\
rm
\\
upmu b}$"
,
upleft
=
bandxs
,
labupleft
=
"$
\\
D
\\
sigma/
\\
D E_
\\
mu^{
\\
rm kin}\,/\,{
\\
rm
\\
upmu b}$"
,
middleleft
=
bandk1
,
labmiddleleft
=
"$
\\
delta K^{(1)}$"
,
downleft
=
bandk2
,
labdownleft
=
"$
\\
delta K^{(2)}$"
,
colupleft
=
[
orderscheme
[
'nnlo'
],
'paleturquoise'
,
'olivedrab'
,
'gold'
],
colupleft
=
[
orderscheme
[
'nnlo'
],
'paleturquoise'
,
'olivedrab'
,
'gold'
],
colmiddleleft
=
[
orderscheme
[
'nnlo'
],
'paleturquoise'
,
'olivedrab'
,
'gold'
],
coldownleft
=
[
orderscheme
[
'nnlo'
],
'paleturquoise'
,
'olivedrab'
,
'gold'
]
coldownleft
=
[
orderscheme
[
'nnlo'
],
'paleturquoise'
,
'olivedrab'
,
'gold'
]
)
ax1
.
set_yscale
(
'log'
)
ax2
.
set_ylim
(
0.982
-
1
,
1.016
-
1
)
ax3
.
set_ylim
(
0.999
-
1
,
1.018
-
1
)
ax2
.
set_ylim
(
0.982
-
1
,
1.016
-
1
)
ax3
.
set_ylim
(
0.999
-
1
,
1.018
-
1
)
thbounds
=
np
.
array
([
[
0.3875697
,
# about 22 degrees -> 126 MeV
0.7708983
# about 44 degrees -> 117 MeV
],[
0.8054385
,
# about 46 degrees -> 116 MeV
1.0939359
# about 63 degrees -> 107 MeV
],[
1.124739
,
# about 64 degrees -> 106 MeV
1.403278
# about 80 degrees -> 97 MeV
],[
1.435036
,
# about 82 degrees -> 96 MeV
1.739436
# about 99 degrees -> 87 MeV
0.3875697
,
# about 22 degrees -> 126 MeV
0.7708983
# about 44 degrees -> 117 MeV
],
[
0.8054385
,
# about 46 degrees -> 116 MeV
1.0939359
# about 63 degrees -> 107 MeV
],
[
1.124739
,
# about 64 degrees -> 106 MeV
1.403278
# about 80 degrees -> 97 MeV
],
[
1.435036
,
# about 82 degrees -> 96 MeV
1.739436
# about 99 degrees -> 87 MeV
]
])
ax2
.
legend
([
...
...
mu-e-scattering/muone-legacy/legacy.py
View file @
31f79451
...
...
@@ -12,11 +12,13 @@ lo = scaleset(mergefks(sigma('em2em0')), alpha**2*conv)
nloNoVP
=
scaleset
(
mergefks
(
sigma
(
'em2emFEE'
),
sigma
(
'em2emFEM'
),
sigma
(
'em2emFMM'
),
sigma
(
'em2emREE15'
),
sigma
(
'em2emREE35'
),
sigma
(
'em2emREM'
),
sigma
(
'em2emRMM'
)
sigma
(
'em2emREE15'
),
sigma
(
'em2emREE35'
),
sigma
(
'em2emREM'
),
sigma
(
'em2emRMM'
)
),
alpha
**
3
*
conv
)
nlo
=
scaleset
(
mergefks
(
sigma
(
'em2emFEE'
),
sigma
(
'em2emFEM'
),
sigma
(
'em2emFMM'
),
sigma
(
'em2emREE15'
),
sigma
(
'em2emREE35'
),
sigma
(
'em2emREM'
),
sigma
(
'em2emRMM'
),
sigma
(
'em2emREE15'
),
sigma
(
'em2emREE35'
),
sigma
(
'em2emREM'
),
sigma
(
'em2emRMM'
),
anyxi
=
sigma
(
'em2emA'
,
obs
=
'2'
)
),
alpha
**
3
*
conv
)
...
...
@@ -41,12 +43,16 @@ nnlo = scaleset(mergefks(
setup
(
obs
=
'1'
)
nlocutNoVP
=
scaleset
(
mergefks
(
sigma
(
'em2emFEE'
,
obs
=
'0'
),
sigma
(
'em2emFEM'
,
obs
=
'0'
),
sigma
(
'em2emFMM'
,
obs
=
'0'
),
sigma
(
'em2emREE15'
),
sigma
(
'em2emREE35'
),
sigma
(
'em2emREM'
),
sigma
(
'em2emRMM'
)
sigma
(
'em2emFEE'
,
obs
=
'0'
),
sigma
(
'em2emFEM'
,
obs
=
'0'
),
sigma
(
'em2emFMM'
,
obs
=
'0'
),
sigma
(
'em2emREE15'
),
sigma
(
'em2emREE35'
),
sigma
(
'em2emREM'
),
sigma
(
'em2emRMM'
)
),
alpha
**
3
*
conv
)
nlocut
=
scaleset
(
mergefks
(
sigma
(
'em2emFEE'
,
obs
=
'0'
),
sigma
(
'em2emFEM'
,
obs
=
'0'
),
sigma
(
'em2emFMM'
,
obs
=
'0'
),
sigma
(
'em2emREE15'
),
sigma
(
'em2emREE35'
),
sigma
(
'em2emREM'
),
sigma
(
'em2emRMM'
),
sigma
(
'em2emFEE'
,
obs
=
'0'
),
sigma
(
'em2emFEM'
,
obs
=
'0'
),
sigma
(
'em2emFMM'
,
obs
=
'0'
),
sigma
(
'em2emREE15'
),
sigma
(
'em2emREE35'
),
sigma
(
'em2emREM'
),
sigma
(
'em2emRMM'
),
anyxi
=
sigma
(
'em2emA'
,
obs
=
'2'
)
),
alpha
**
3
*
conv
)
...
...
@@ -65,7 +71,13 @@ nnlocut = scaleset(mergefks(
),
alpha
**
4
*
conv
)
#####################################################################}}}
## Print numbers{{{
print
(
"run time %f days"
%
((
lo
[
'time'
]
+
nlo
[
'time'
]
+
nnlo
[
'time'
]
+
nlocut
[
'time'
]
+
nnlocut
[
'time'
])
/
3600.
/
24.
))
print
(
"run time %f days"
%
(
(
lo
[
'time'
]
+
nlo
[
'time'
]
+
nnlo
[
'time'
]
+
nlocut
[
'time'
]
+
nnlocut
[
'time'
]
)
/
3600.
/
24.
)
)
print
(
tabulate
([
[
'
\\
sigma^(0)'
,
printnumber
(
lo
[
'value'
]),
""
,
""
,
""
],
...
...
@@ -82,26 +94,32 @@ print(tabulate([
"+"
+
printnumber
(
nnlo
[
'value'
]),
"+"
+
printnumber
(
nnlocut
[
'value'
]),
printnumber
(
dividenumbers
(
nnlo
[
'value'
],
plusnumbers
(
lo
[
'value'
],
nlo
[
'value'
]))),
printnumber
(
dividenumbers
(
nnlocut
[
'value'
],
plusnumbers
(
lo
[
'value'
],
nlocut
[
'value'
])))
printnumber
(
dividenumbers
(
nnlo
[
'value'
],
plusnumbers
(
lo
[
'value'
],
nlo
[
'value'
])
)),
printnumber
(
dividenumbers
(
nnlocut
[
'value'
],
plusnumbers
(
lo
[
'value'
],
nlocut
[
'value'
])
))
],
[
'
\\
sigma_2'
,
printnumber
(
plusnumbers
(
lo
[
'value'
],
nlo
[
'value'
],
nnlo
[
'value'
])),
printnumber
(
plusnumbers
(
lo
[
'value'
],
nlocut
[
'value'
],
nnlocut
[
'value'
]))
printnumber
(
plusnumbers
(
lo
[
'value'
],
nlocut
[
'value'
],
nnlocut
[
'value'
]
))
]
],
headers
=
[
''
,
'S1'
,
'S2'
,
'S1k'
,
'S2k'
]))
],
headers
=
[
''
,
'S1'
,
'S2'
,
'S1k'
,
'S2k'
]))
#####################################################################}}}
## Make pictures{{{
### $\theta_e${{{
#### w/o cut{{{
fig
,
(
ax1
,
ax2
,
ax3
)
=
kplot
(
{
'lo'
:
mergebins
(
scaleplot
(
lo
[
'thetae'
]
,
1e-3
)[:
221
],
4
),
'nlo'
:
mergebins
(
scaleplot
(
nlo
[
'thetae'
]
,
1e-3
)[:
221
],
4
),
'nnlo'
:
mergebins
(
scaleplot
(
nnlo
[
'thetae'
],
1e-3
)[:
221
],
4
),
'nlo2'
:
mergebins
(
scaleplot
(
nloNoVP
[
'thetae'
]
,
1e-3
)[:
221
],
4
),
'nnlo2'
:
mergebins
(
scaleplot
(
nnloNoVP
[
'thetae'
],
1e-3
)[:
221
],
4
)
'lo'
:
mergebins
(
scaleplot
(
lo
[
'thetae'
]
,
1e-3
)[:
221
],
4
),
'nlo'
:
mergebins
(
scaleplot
(
nlo
[
'thetae'
],
1e-3
)[:
221
],
4
),
'nnlo'
:
mergebins
(
scaleplot
(
nnlo
[
'thetae'
],
1e-3
)[:
221
],
4
),
'nlo2'
:
mergebins
(
scaleplot
(
nloNoVP
[
'thetae'
],
1e-3
)[:
221
],
4
),
'nnlo2'
:
mergebins
(
scaleplot
(
nnloNoVP
[
'thetae'
],
1e-3
)[:
221
],
4
)
},
labelx
=
"$
\\
theta_e\,/\,{
\\
rm mrad}$"
,
labelsigma
=
"$
\\
D
\\
sigma/
\\
D
\\
theta_e\ /\ {
\\
rm
\\
upmu b}$"
,
...
...
@@ -121,11 +139,11 @@ fig.savefig('plots/theta-e-no-cut.pdf')
#### w/ cut{{{
fig
,
(
ax1
,
ax2
,
ax3
)
=
kplot
(
{
'lo'
:
mergebins
(
scaleplot
(
lo
[
'thetae'
],
1e-3
)[:
221
],
4
),
'nlo'
:
mergebins
(
scaleplot
(
nlocut
[
'thetae'
],
1e-3
)[:
221
],
4
),
'nnlo'
:
mergebins
(
scaleplot
(
nnlocut
[
'thetae'
],
1e-3
)[:
221
],
4
),
'nlo2'
:
mergebins
(
scaleplot
(
nlocutNoVP
[
'thetae'
]
,
1e-3
)[:
221
],
4
),
'nnlo2'
:
mergebins
(
scaleplot
(
nnlocutNoVP
[
'thetae'
],
1e-3
)[:
221
],
4
)
'lo'
:
mergebins
(
scaleplot
(
lo
[
'thetae'
],
1e-3
)[:
221
],
4
),
'nlo'
:
mergebins
(
scaleplot
(
nlocut
[
'thetae'
],
1e-3
)[:
221
],
4
),
'nnlo'
:
mergebins
(
scaleplot
(
nnlocut
[
'thetae'
],
1e-3
)[:
221
],
4
),
'nlo2'
:
mergebins
(
scaleplot
(
nlocutNoVP
[
'thetae'
],
1e-3
)[:
221
],
4
),
'nnlo2'
:
mergebins
(
scaleplot
(
nnlocutNoVP
[
'thetae'
],
1e-3
)[:
221
],
4
)
},
labelx
=
"$
\\
theta_e\,/\,{
\\
rm mrad}$"
,
labelsigma
=
"$
\\
D
\\
sigma/
\\
D
\\
theta_e\ /\ {
\\
rm
\\
upmu b}$"
,
...
...
@@ -146,9 +164,9 @@ fig.savefig('plots/theta-e-yes-cut.pdf')
#### w/o cut{{{
fig
,
(
ax1
,
ax2
,
ax3
)
=
kplot
(
{
'lo'
:
mergebins
(
scaleplot
(
lo
[
'tmm'
][
15
:
296
],
1e+6
),
8
),
'nlo'
:
mergebins
(
scaleplot
(
nlo
[
'tmm'
][
15
:
296
],
1e+6
),
8
),
'nnlo'
:
mergebins
(
scaleplot
(
nnlo
[
'tmm'
][
15
:
296
],
1e+6
),
8
)
'lo'
:
mergebins
(
scaleplot
(
lo
[
'tmm'
][
15
:
296
],
1e+6
),
8
),
'nlo'
:
mergebins
(
scaleplot
(
nlo
[
'tmm'
][
15
:
296
],
1e+6
),
8
),
'nnlo'
:
mergebins
(
scaleplot
(
nnlo
[
'tmm'
][
15
:
296
],
1e+6
),
8
)
},
labelx
=
"$t_{
\\
mu}\,/\,{
\\
rm GeV}^2$"
,
labelsigma
=
"$
\\
D
\\
sigma/
\\
D t_{
\\
mu}\ /\ {
\\
rm
\\
upmu b}$"
,
...
...
@@ -160,17 +178,17 @@ fig, (ax1, ax2, ax3) = kplot(
legendopts
=
{
'what'
:
'u'
,
'loc'
:
'lower right'
}
)
ax1
.
set_yscale
(
'log'
)
ax2
.
set_ylim
(
0.95
-
1
,
1.02
-
1
)
ax3
.
set_ylim
(
0.999
-
1
,
1.0005
-
1
)
ax2
.
set_ylim
(
0.95
-
1
,
1.02
-
1
)
ax3
.
set_ylim
(
0.999
-
1
,
1.0005
-
1
)
pymule
.
mpl_axes_aligner
.
yaxes
(
ax2
,
ax3
,
0
)
fig
.
savefig
(
'plots/tmm-no-cut.pdf'
)
#################################################}}}
#### w/ cut{{{
fig
,
(
ax1
,
ax2
,
ax3
)
=
kplot
(
{
'lo'
:
mergebins
(
scaleplot
(
lo
[
'tmm'
][
16
:
242
],
1e-3
),
8
),
'nlo'
:
mergebins
(
scaleplot
(
nlocut
[
'tmm'
][
16
:
242
],
1e-3
),
8
),
'nnlo'
:
mergebins
(
scaleplot
(
nnlocut
[
'tmm'
][
16
:
242
],
1e-3
),
8
)
'lo'
:
mergebins
(
scaleplot
(
lo
[
'tmm'
][
16
:
242
],
1e-3
),
8
),
'nlo'
:
mergebins
(
scaleplot
(
nlocut
[
'tmm'
][
16
:
242
],
1e-3
),
8
),
'nnlo'
:
mergebins
(
scaleplot
(
nnlocut
[
'tmm'
][
16
:
242
],
1e-3
),
8
)
},
labelx
=
"$t_{
\\
mu}\,/\,{
\\
rm GeV}^2$"
,
labelsigma
=
"$
\\
D
\\
sigma/
\\
D t_{
\\
mu}\ /\ {
\\
rm
\\
upmu b}$"
,
...
...
@@ -182,8 +200,8 @@ fig, (ax1, ax2, ax3) = kplot(
legendopts
=
{
'what'
:
'u'
,
'loc'
:
'lower right'
}
)
ax1
.
set_yscale
(
'log'
)
ax3
.
set_ylim
(
0.9994
-
1
,
1.0005
-
1
)
pymule
.
mpl_axes_aligner
.
yaxes
(
ax2
,
ax3
,
0
)
ax3
.
set_ylim
(
0.9994
-
1
,
1.0005
-
1
)
pymule
.
mpl_axes_aligner
.
yaxes
(
ax2
,
ax3
,
0
)
fig
.
savefig
(
'plots/tmm-yes-cut.pdf'
)
#################################################}}}
###########################################################}}}
...
...
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